ORCID Profile
0000-0002-1835-3475
Current Organisation
UNSW Sydney
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Information Systems | Renewable Power and Energy Systems Engineering (excl. Solar Cells) | Power and Energy Systems Engineering (excl. Renewable Power) | Information Systems Not Elsewhere Classified | Systems Theory And Control | Electrical and Electronic Engineering | Distributed Computing | Ubiquitous Computing | Conceptual Modelling | Database Management | Computer System Security | Networking and Communications | Communications Technologies | Communications Technologies Not Elsewhere Classified | Computer Communications Networks | Interorganisational Information Systems and Web Services
ANZSRC Socio-Economic Objective (SEO)
Communication Networks and Services not elsewhere classified | Application Tools and System Utilities | Telecommunications | Information Services not elsewhere classified | Energy Transmission and Distribution (excl. Hydrogen) | Residential Energy Conservation and Efficiency | Information services not elsewhere classified | Computer software and services not elsewhere classified | Information Processing Services (incl. Data Entry and Capture) | Information and Communication Services not elsewhere classified |
Related Links
Publications
Recent Trends in User Authentication – A Survey
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Guest Editorial: Special Issue on Recent Advances on Blockchain for Network and Service Management
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
IoT Traffic Obfuscation: Will it Guarantee the Privacy of Your Smart Home?
Publisher: IEEE
Date: 16-05-2022
DaaS: Dew Computing as a Service for Intelligent Intrusion Detection in Edge-of-Things Ecosystem
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-08-2021
Creating personal bandwidth maps using opportunistic throughput measurements
Publisher: IEEE
Date: 06-2014
A blockchain framework data integrity enhanced recommender system
Publisher: Wiley
Date: 09-09-2022
DOI: 10.1111/COIN.12548
Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment
Publisher: Springer International Publishing
Date: 2022
Low-latency guaranteed-rate scheduling using Elastic Round Robin
Publisher: Elsevier BV
Date: 09-2002
Device Identification in Blockchain-Based Internet of Things
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-12-2022
Adaptive Two-Dimensional Embedded Image Clustering
Publisher: Association for the Advancement of Artificial Intelligence (AAAI)
Date: 03-04-2020
Adaptive Position Update in Geographic Routing
Publisher: IEEE
Date: 2006
A systematic review of federated learning from clients’ perspective: challenges and solutions
Publisher: Springer Science and Business Media LLC
Date: 07-08-2023
Distance-Based Local Geocasting in Multi-Hop Wireless Networks
Publisher: IEEE
Date: 2007
Forthcoming applications of quantum computing: peeking into the future
Publisher: Institution of Engineering and Technology (IET)
Date: 30-11-2020
Echo-ID: Smart User Identification Leveraging Inaudible Sound Signals
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Guest Editorial Special Issue on Intelligent Blockchain for Future Communications and Networking: Technologies, Trends, and Applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
Topology Control and Channel Assignment in Multi-Radio Multi-Channel Wireless Mesh Networks
Publisher: IEEE
Date: 10-2007
Peer-to-Peer EnergyTrade: A Distributed Private Energy Trading Platform
Publisher: IEEE
Date: 05-2019
Fair, efficient and scalable scheduling without per-flow state
Publisher: IEEE
A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions
Publisher: Oxford University Press (OUP)
Date: 19-05-2022
Abstract: Recommendation is a critical tool for developing and promoting the benefits of the Internet of Things (IoT). In recent years, recommender systems have attracted considerable attention in many IoT-related fields such as smart health, smart home, smart tourism and smart marketing. However, traditional recommender system approaches fail to exploit ever-growing, dynamic and heterogeneous IoT data in building recommender systems for the IoT (RSIoT). This article aims to provide a comprehensive review of state-of-the-art RSIoT, including the related techniques, applications and a discussion on the limitations of applying recommendation systems to IoT. Finally, we propose a reference framework for comparing existing studies to guide future research and practices.
Energy-aware Demand Selection and Allocation for Real-time IoT Data Trading
Publisher: IEEE
Date: 09-2020
The Road to Accountable and Dependable Manufacturing
Publisher: MDPI AG
Date: 13-09-2021
DOI: 10.3390/AUTOMATION2030013
Abstract: The Internet of Things provides manufacturing with rich data for increased automation. Beyond company-internal data exploitation, the sharing of product and manufacturing process data along and across supply chains enables more efficient production flows and product lifecycle management. Even more, data-based automation facilitates short-lived ad hoc collaborations, realizing highly dynamic business relationships for sustainable exploitation of production resources and capacities. However, the sharing and use of business data across manufacturers and with end customers add requirements on data accountability, verifiability, and reliability and needs to consider security and privacy demands. While research has already identified blockchain technology as a key technology to address these challenges, current solutions mainly evolve around logistics or focus on established business relationships instead of automated but highly dynamic collaborations that cannot draw upon long-term trust relationships. We identify three open research areas on the road to such a truly accountable and dependable manufacturing enabled by blockchain technology: blockchain-inherent challenges, scenario-driven challenges, and socio-economic challenges. Especially tackling the scenario-driven challenges, we discuss requirements and options for realizing a blockchain-based trustworthy information store and outline its use for automation to achieve a reliable sharing of product information, efficient and dependable collaboration, and dynamic distributed markets without requiring established long-term trust.
HARB: A Hypergraph-based Adaptive Consortium Blockchain for Decentralised Energy Trading
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-08-2020
B-FICA: BlockChain based Framework for Auto-Insurance Claim and Adjudication
Publisher: IEEE
Date: 07-2018
HUBCODE: hub‐based forwarding using network coding in delay tolerant networks
Publisher: Wiley
Date: 17-05-2011
DOI: 10.1002/WCM.1143
Experimental evaluation of multi-hop routing protocols for wireless sensor networks
Publisher: ACM
Date: 12-04-2010
ACOMTA: An Ant Colony Optimisation based Multi-Task Assignment Algorithm for Reverse Auction based Mobile Crowdsensing
Publisher: IEEE
Date: 16-11-2020
An Experimental Study for Tracking Crowd in Smart Cities
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2018
Gwardar: Towards Protecting a Software-Defined Network from Malicious Network Operating Systems
Publisher: IEEE
Date: 11-2018
In-situ MIMO-WPT Recharging of UAVs Using Intelligent Flying Energy Sources
Publisher: MDPI AG
Date: 23-07-2021
DOI: 10.20944/PREPRINTS202107.0545.V1
Abstract: The Unmanned Aerial Vehicles (UAVs), used in civilian applications such as emergency medical deliveries, precision agriculture, wireless communication provisioning, etc., face the challenge of limited flight time due to their reliance on the on-board battery. Therefore, developing efficient mechanisms for in-situ power transfer to recharge UAV batteries hold potential in extending their mission time. In this paper, we study the use of far-field wireless power transfer (WPT) technique from specialized, transmitter UAVs (tUAVs) carrying Multiple Input Multiple Output (MIMO) antennas for transferring wireless power to receiver UAVs (rUAVs) in a mission. The tUAVs can fly and adjust their distance to the rUAVs to maximize energy transfer. The use of MIMO antennas further boost the energy reception by narrowing the energy beam toward the rUAVs. The complexity of their dynamic operating environment increases with the growing number of tUAVs, and rUAVs with varying levels of energy consumption and residual power. We propose an intelligent trajectory selection algorithm for the tUAVs based on a deep reinforcement learning model called Proximal Policy Optimization (PPO) to optimize the energy transfer gain. Simulation results demonstrate that with the use of PPO, the system achieves a tenfold flight time extension compared to no wireless recharging. Further, PPO outperforms the benchmark movement strategies of & rsquo Traveling Salesman Problem& rsquo and & rsquo Low Battery First& rsquo when used by the tUAVs.
Enabling Efficient Deduplication and Secure Decentralized Public Auditing for Cloud Storage: A Redactable Blockchain Approach
Publisher: Association for Computing Machinery (ACM)
Date: 23-06-2023
DOI: 10.1145/3578555
Abstract: Public auditing and data deduplication are integral considerations in providing efficient and secure cloud storage services. Nevertheless, the traditional data deduplication models that support public auditing can endure the enormous waste of storage and computation resources induced through data redundancy and repeated audit work by multiple tenants on trusted third-party auditor (TPA). In this work, we introduce blockchain-based secure decentralized public auditing in a decentralized cloud storage with an efficient deduplication model. We employ blockchain to take on the task of centralized TPA, which also mitigates the implications of malicious blockchain miners by using the concept of a decentralized autonomous organization (DAO). Specifically, we employ the idea of redactability for blockchain to handle often neglected security issues that would adversely affect the integrity of stored auditing records on blockchain in decentralized auditing models. However, the proposed model also employs an efficient deduplication scheme to attain adequate storage savings while preserving the users from data loss due to duplicate faking attacks. Moreover, the detailed concrete security analysis demonstrates the computational infeasibility of the proposed model against proof-of-ownership, duplicate faking attack (DFA), collusion attack, storage free-riding attack, data privacy, and forgery attack with high efficiency. Finally, the comprehensive performance analysis shows the scalability and feasibility of the proposed model.
Enabling Privacy Preserving Mobile Advertising via Private Information Retrieval
Publisher: IEEE
Date: 10-2017
DOI: 10.1109/LCN.2017.63
VCTP: A Verifiable Credential-Based Trust Propagation Protocol for Personal Issuers in Self-Sovereign Identity Platforms
Publisher: IEEE
Date: 07-2023
Privacy in targeted advertising: A survey
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-11-2020
DOI: 10.36227/TECHRXIV.12952073
Abstract: Targeted advertising has transformed the marketing trend for any business by creating new opportunities for advertisers to reach prospective customers by delivering them personalised ads using an infrastructure of a variety of intermediary entities and technologies. The advertising and analytics companies collect, aggregate, process and trade a rich amount of user's personal data, which has prompted serious privacy concerns among in iduals and organisations. This article presents a detailed survey of privacy risks including the information flow between advertising platform and ad/analytics networks, the profiling process, the advertising sources and criteria, the measurement analysis of targeted advertising based on user's interests and profiling context and ads delivery process in both in-app and in-browser targeted ads. We provide detailed discussion of challenges in preserving user privacy that includes privacy threats posed by the advertising and analytics companies, how private information is extracted and exchanged among various advertising entities, privacy threats from third-party tracking, re-identification of private information and associated privacy risks, in addition to, overview data and tracking sharing technologies. Following, we present various techniques for preserving user privacy and a comprehensive analysis of various proposals founded on those techniques and compare them based on the underlying architectures, the privacy mechanisms and the deployment scenarios. Finally we discuss some potential research challenges and open research issues. br
Privacy in targeted advertising on mobile devices: a survey
Publisher: Springer Science and Business Media LLC
Date: 24-12-2022
DOI: 10.1007/S10207-022-00655-X
Abstract: Targeted advertising has transformed the marketing landscape for a wide variety of businesses, by creating new opportunities for advertisers to reach prospective customers by delivering personalised ads, using an infrastructure of a number of intermediary entities and technologies. The advertising and analytics companies collect, aggregate, process, and trade a vast amount of users’ personal data, which has prompted serious privacy concerns among both in iduals and organisations. This article presents a comprehensive survey of the privacy risks and proposed solutions for targeted advertising in a mobile environment. We outline details of the information flow between the advertising platform and ad/analytics networks, the profiling process, the measurement analysis of targeted advertising based on user’s interests and profiling context, and the ads delivery process, for both in-app and in-browser targeted ads we also include an overview of data sharing and tracking technologies. We discuss challenges in preserving the mobile user’s privacy that include threats related to private information extraction and exchange among various advertising entities, privacy threats from third-party tracking, re-identification of private information and associated privacy risks. Subsequently, we present various techniques for preserving user privacy and a comprehensive analysis of the proposals based on such techniques we compare the proposals based on the underlying architectures, privacy mechanisms, and deployment scenarios. Finally, we discuss the potential research challenges and open research issues.
A Novel Emergency Light Based Smart Building Solution: Design, Implementation, and Use Cases
Publisher: IEEE
Date: 10-2022
Design, Analysis and Implementation of a Novel Multiple Resource Scheduler
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2007
DOI: 10.1109/TC.2007.1062
Epigenetic inactivation of the candidate tumor suppressor USP44 is a frequent and early event in colorectal neoplasia
Publisher: Informa UK Limited
Date: 16-05-2014
DOI: 10.4161/EPI.29222
Safety assurance and rescue communication systems in high-stress environments: A mining case study
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2010
Evaluating the Security of Machine Learning Based IoT Device Identification Systems Against Adversarial Examples
Publisher: Springer International Publishing
Date: 2021
SPB: A Secure Private Blockchain-Based Solution for Distributed Energy Trading
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2019
Empirical Evaluation of HTTP Adaptive Streaming under Vehicular Mobility
Publisher: Springer Berlin Heidelberg
Date: 2011
Internet of Things Meets Brain–Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2026
Instrumenting Wireless Sensor Networks — A survey on the metrics that matter
Publisher: Elsevier BV
Date: 06-2017
IncogniSense: An anonymity-preserving reputation framework for participatory sensing applications
Publisher: Elsevier BV
Date: 06-2013
Crowdsourcing Software Vulnerability Discovery: Models, Dimensions, and Directions
Publisher: Springer International Publishing
Date: 2021
Appendable-Block Blockchains
Publisher: IGI Global
Date: 2021
DOI: 10.4018/978-1-7998-5839-3.CH004
Abstract: Blockchain has emerged as a technology that can change the way people and systems interact, providing mechanisms that ensure integrity and ownership of the data produced without reliance on a trusted third-party. Appendable-block blockchain is a novel instantiation that suits for solutions that require a high transaction throughput. Appendable-block blockchains focus on data produced by nodes instead of a relation (transaction) between two entities. This new kind of blockchain can improve how data are stored and managed in distributed systems. This chapter introduces the notion of appendable-block blockchain and exemplifies its applicability in multiple practical domains. Additionally, the authors provide a discussion on the security aspects of this new blockchain. Finally, the chapter presents current issues and possible future directions for appendable-block blockchains.
Message Dissemination in Vehicular Networks
Publisher: CRC Press
Date: 08-11-2011
DOI: 10.1201/B11309-9
Towards Decentralized IoT Updates Delivery Leveraging Blockchain and Zero-Knowledge Proofs
Publisher: No publisher found
Date: 2020
Ear-Phone: A context-aware noise mapping using smart phones
Publisher: Elsevier BV
Date: 02-2015
RFT: Identifying Suitable Neighbors for Concurrent Transmissions in Point-to-Point Communications
Publisher: ACM
Date: 02-11-2015
Lightweight clustering of spatio-temporal data in resource constrained mobile sensing
Publisher: IEEE
Date: 06-2015
A survey of data minimisation techniques in blockchain-based healthcare
Publisher: Elsevier BV
Date: 03-2022
A trust architecture for blockchain in IoT
Publisher: ACM
Date: 12-11-2020
On the latency bound of pre-order deficit round robin
Publisher: IEEE Comput. Soc
Date: 2002
Design, Analysis, and Implementation of a Novel Low Complexity Scheduler for Joint Resource Allocation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2007
Constructing a Shortest Path Overhearing Tree with Maximum Lifetime in WSNs
Publisher: IEEE
Date: 2016
Platform zero: a step closer to ubiquitous computing
Publisher: Wiley
Date: 07-09-2014
DOI: 10.1002/CPE.3366
PrivChain: Provenance and Privacy Preservation in Blockchain enabled Supply Chains
Publisher: IEEE
Date: 08-2022
Selected papers from the 19th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks
Publisher: Elsevier BV
Date: 05-2020
Turning tapes into text: Issues surrounding the transcription of interviews
Publisher: Informa UK Limited
Date: 12-2001
Abstract: Transcription of interview data is a common practice in qualitative health research. However, there has been little discussion of the techniques of transcription and the issues inherent in the use of transcription as a strategy for managing qualitative data in nursing publications. The process of transcription may disclose or obscure certain information. Researchers need to question practices of transcription that have been taken for granted and make transparent the processes used to preserve the integrity of data. This paperfirst examines research reported in nursing and allied health journals employing interviews for data collection and the attention given to the transcription phase. It then deals with issues of concern regarding the transcription of interviews, and offers suggestions for promoting validity.
Implementation and performance analysis of a packet scheduler on a programmable network processor
Publisher: IEEE
Date: 2005
DOI: 10.1109/LCN.2005.76
Applications and Challenges of Wearable Visual Lifeloggers
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2017
DOI: 10.1109/MC.2017.82
Source-aware crisis-relevant tweet identification and key information summarization
Publisher: Association for Computing Machinery (ACM)
Date: 27-08-2019
DOI: 10.1145/3300229
Abstract: Twitter is an important source of information that people frequently contribute to and rely on for emerging topics, public opinions, and event awareness. Crisis-relevant tweets can potentially avail a magnitude of applications such as helping authorities and governments become aware of situations and thus offer better responses. One major challenge toward crisis-awareness in Twitter is to identify those tweets that are relevant to unseen crises. In this article, we propose an automatic labeling approach to distinguishing crisis-relevant tweets while differentiating source types (e.g., government or personal accounts) simultaneously. We first analyze and identify tweet-specific linguistic, sentimental, and emotional features based on statistical topic modeling. Then, we design a novel correlative convolutional neural network which uses a shared hidden layer to learn effective representations of the multi-faceted features. The model can discover salient information while being robust to the variations and noises in tweets and sources. To obtain a bird’s-eye view of a crisis event, we further develop an approach to automatically summarize key information of identified tweets. Empirical evaluation on a real Twitter dataset demonstrates the feasibility of discerning relevant tweets for an unseen crisis. The applicability of our proposed approach is further demonstrated with a crisis aider system.
A Game-Theoretic Approach to Quality Improvement in Crowdsourcing Tasks
Publisher: Springer International Publishing
Date: 2018
Special issue on “Crowd-sensed Big Data for Internet of Things Services”
Publisher: Elsevier BV
Date: 05-2020
VID: Human identification through vein patterns captured from commodity depth cameras
Publisher: Institution of Engineering and Technology (IET)
Date: 25-01-2021
DOI: 10.1049/BME2.12009
Demo Abstract: A Tool to Access and Visualize Classroom Attendance Data from a Smart Campus
Publisher: IEEE
Date: 04-2018
MetaGanFi
Publisher: Association for Computing Machinery (ACM)
Date: 06-09-2022
DOI: 10.1145/3550306
Trust-Based Blockchain Authorization for IoT
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2021
TrustChain: Trust Management in Blockchain and IoT Supported Supply Chains
Publisher: IEEE
Date: 07-2019
QoS Driven Parallelization of Resources to Reduce File Download Delay
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2006
Trust and Privacy Challenges in Social Participatory Networks
Publisher: Springer International Publishing
Date: 2018
Crowdsourcing with Tullock contests: A new perspective
Publisher: IEEE
Date: 04-2015
On-Board RSVP: An Extension of RSVP to Support Real-Time Services in On-Board IP Networks
Publisher: Springer Berlin Heidelberg
Date: 2004
Zero-shot object detection with textual descriptions
Publisher: Association for the Advancement of Artificial Intelligence (AAAI)
Date: 17-07-2019
DOI: 10.1609/AAAI.V33I01.33018690
Abstract: Object detection is important in real-world applications. Existing methods mainly focus on object detection with sufficient labelled training data or zero-shot object detection with only concept names. In this paper, we address the challenging problem of zero-shot object detection with natural language description, which aims to simultaneously detect and recognize novel concept instances with textual descriptions. We propose a novel deep learning framework to jointly learn visual units, visual-unit attention and word-level attention, which are combined to achieve word-proposal affinity by an element-wise multiplication. To the best of our knowledge, this is the first work on zero-shot object detection with textual descriptions. Since there is no directly related work in the literature, we investigate plausible solutions based on existing zero-shot object detection for a fair comparison. We conduct extensive experiments on three challenging benchmark datasets. The extensive experimental results confirm the superiority of the proposed model.
Fair and efficient packet scheduling using Elastic Round Robin
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2002
DOI: 10.1109/71.993210
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals
Publisher: IEEE
Date: 03-2018
Mitigating the effect of interference in Wireless Sensor Networks
Publisher: IEEE
Date: 10-2010
Platform Zero: A Context-Based Computing Platform for Collaboration
Publisher: IEEE
Date: 07-2013
Secure Wireless Automotive Software Updates Using Blockchains: A Proof of Concept
Publisher: Springer International Publishing
Date: 31-08-2018
Proactive Eavesdropping via Jamming for Trajectory Tracking of UAVs
Publisher: IEEE
Date: 06-2019
INDICT: Intruder Detection, Identification, Containment and Termination
Publisher: IEEE
Date: 06-2006
A Reputation Framework for Social Participatory Sensing Systems
Publisher: Springer Science and Business Media LLC
Date: 10-08-2014
An Interdisciplinary Survey on Information Flows in Supply Chains
Publisher: Association for Computing Machinery (ACM)
Date: 14-09-2023
DOI: 10.1145/3606693
Abstract: Supply chains form the backbone of modern economies and therefore require reliable information flows. In practice, however, supply chains face severe technical challenges, especially regarding security and privacy. In this work, we consolidate studies from supply chain management, information systems, and computer science from 2010–2021 in an interdisciplinary meta-survey to make this topic holistically accessible to interdisciplinary research. In particular, we identify a significant potential for computer scientists to remedy technical challenges and improve the robustness of information flows. We subsequently present a concise information flow-focused taxonomy for supply chains before discussing future research directions to provide possible entry points.
AI for next generation computing: Emerging trends and future directions
Publisher: Elsevier BV
Date: 08-2022
Decentralised Trustworthy Collaborative Intrusion Detection System for IoT
Publisher: IEEE
Date: 12-2021
VeinDeep: Smartphone unlock using vein patterns
Publisher: IEEE
Date: 03-2017
B-FERL: Blockchain based framework for securing smart vehicles
Publisher: Elsevier BV
Date: 2021
Guest Editorial: Introduction to the Special Section on Sensor Data Computing as a Service in Internet of Things
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
DIMY: Enabling privacy-preserving contact tracing
Publisher: Elsevier BV
Date: 06-2022
Attacking with Bitcoin: Using Bitcoin to Build Resilient Botnet Armies
Publisher: Springer International Publishing
Date: 28-08-2020
MRA: A modified reverse auction based framework for incentive mechanisms in mobile crowdsensing systems
Publisher: Elsevier BV
Date: 09-2019
On the need for a reputation system in mobile phone based sensing
Publisher: Elsevier BV
Date: 2014
Sustainable Incentives for Mobile Crowdsensing: Auctions, Lotteries, and Trust and Reputation Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2007
Challenges in Designing Blockchain for Cyber-Physical Systems
Publisher: Association for Computing Machinery (ACM)
Date: 22-06-2023
DOI: 10.1145/3589648
WiFi-ID: Human identification using WiFi signal
Publisher: IEEE
Date: 05-2016
Crossing cultural boundaries: Flexible approaches and nurse education
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 09-2003
DOI: 10.1097/00024665-200309000-00014
Abstract: Computer-mediated conferencing commonly is used to promote collaborative learning, including student learning across distance. This article presents the outcomes and experiences of Master of Nursing students in three countries using flexible learning approaches facilitated by the use of computer-mediated conferencing. It examines issues relating to support for global nursing education, presents an evaluation of one particular unit, and presents themes in the feedback from students about their experience. The authors report the findings in three categories: broadened perspectives, tackling the technology, and adaptive learning. Furthermore, the article offers suggestions for enhancing student-learning experiences when computer-mediated conferencing facilities are used.
QuickFind: Fast and contact-free object detection using a depth sensor
Publisher: IEEE
Date: 03-2016
Towards Privacy-preserving Digital Contact Tracing
Publisher: IEEE
Date: 03-05-2021
On the latency bound of deficit round robin
Publisher: IEEE
Date: 2002
Trust Management in Decentralized IoT Access Control System
Publisher: IEEE
Date: 05-2020
Moxonidine Increases Uptake of Oxidised Low-Density Lipoprotein in Cultured Vascular Smooth Muscle Cells and Inhibits Atherosclerosis in Apolipoprotein E-Deficient Mice
Publisher: MDPI AG
Date: 14-02-2023
DOI: 10.3390/IJMS24043857
Abstract: This study aimed to investigate the effect of the sympatholytic drug moxonidine on atherosclerosis. The effects of moxonidine on oxidised low-density lipoprotein (LDL) uptake, inflammatory gene expression and cellular migration were investigated in vitro in cultured vascular smooth muscle cells (VSMCs). The effect of moxonidine on atherosclerosis was measured by examining aortic arch Sudan IV staining and quantifying the intima-to-media ratio of the left common carotid artery in apolipoprotein E-deficient (ApoE−/−) mice infused with angiotensin II. The levels of circulating lipid hydroperoxides in mouse plasma were measured by ferrous oxidation-xylenol orange assay. Moxonidine administration increased oxidised LDL uptake by VSMCs via activation of α2 adrenoceptors. Moxonidine increased the expression of LDL receptors and the lipid efflux transporter ABCG1. Moxonidine inhibited mRNA expression of inflammatory genes and increased VSMC migration. Moxonidine administration to ApoE−/− mice (18 mg/kg/day) decreased atherosclerosis formation in the aortic arch and left common carotid artery, associated with increased plasma lipid hydroperoxide levels. In conclusion, moxonidine inhibited atherosclerosis in ApoE−/− mice, which was accompanied by an increase in oxidised LDL uptake by VSMCs, VSMC migration, ABCG1 expression in VSMCs and lipid hydroperoxide levels in the plasma.
Randomised multipath routing for secure data collection
Publisher: IEEE
Date: 04-2014
Prototype similarity learning for activity recognition
Publisher: Springer International Publishing
Date: 2020
Sparse representation based acoustic rangefinders: from sensor platforms to mobile devices
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2015
Priority-based coverage path planning for Aerial Wireless Sensor Networks
Publisher: IEEE
Date: 04-2013
Data-Driven Monitoring and Optimization of Classroom Usage in a Smart Campus
Publisher: IEEE
Date: 04-2018
Protecting Private Attributes in App Based Mobile User Profiling
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
BlockChain: A Distributed Solution to Automotive Security and Privacy
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2017
TrailChain: Traceability of data ownership across blockchain-enabled multiple marketplaces
Publisher: Elsevier BV
Date: 07-2022
Improving QoS in High-Speed Mobility Using Bandwidth Maps
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2012
DOI: 10.1109/TMC.2011.97
Performance of a Bluetooth IP network for streaming high quality audio
Publisher: IEEE
Date: 2005
DOI: 10.1109/LCN.2005.107
Probabilistic coverage in wireless sensor networks
Publisher: IEEE
Date: 2005
DOI: 10.1109/LCN.2005.109
Understanding and Reducing HVAC Power Consumption Post-Evacuation Events in Commercial Buildings
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-09-2022
An evaluation of fair packet schedulers using a novel measure of instantaneous fairness
Publisher: Elsevier BV
Date: 10-2005
IncogniSense: An anonymity-preserving reputation framework for participatory sensing applications
Publisher: IEEE
Date: 03-2012
Automatic Collection of Fuel Prices from a Network of Mobile Cameras
Publisher: Springer Berlin Heidelberg
Date: 2008
SpeedyChain: A framework for decoupling data from blockchain for smart cities
Publisher: ACM
Date: 05-11-2018
Reminder care system: An activity-aware cross-device recommendation system
Publisher: Springer International Publishing
Date: 2019
IEEE International Conference on Pervasive Computing and Communications (PerCom) 2020
Publisher: Elsevier BV
Date: 10-2021
A novel tuneable low-intensity adversarial attack
Publisher: IEEE
Date: 2005
DOI: 10.1109/LCN.2005.14
Enabling Safe ITS: EEG-Based Microsleep Detection in VANETs
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Monetizing Parking IoT Data via Demand Prediction and Optimal Space Sharing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-04-2022
Gate-ID: WiFi-Based Human Identification Irrespective of Walking Directions in Smart Home
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2021
Integrative Genomics Identifies the Molecular Basis of Resistance to Azacitidine Therapy in Myelodysplastic Syndromes
Publisher: Elsevier BV
Date: 07-2017
DOI: 10.1016/J.CELREP.2017.06.067
Abstract: Myelodysplastic syndromes and chronic myelomonocytic leukemia are blood disorders characterized by ineffective hematopoiesis and progressive marrow failure that can transform into acute leukemia. The DNA methyltransferase inhibitor 5-azacytidine (AZA) is the most effective pharmacological option, but only ∼50% of patients respond. A response only manifests after many months of treatment and is transient. The reasons underlying AZA resistance are unknown, and few alternatives exist for non-responders. Here, we show that AZA responders have more hematopoietic progenitor cells (HPCs) in the cell cycle. Non-responder HPC quiescence is mediated by integrin α5 (ITGA5) signaling and their hematopoietic potential improved by combining AZA with an ITGA5 inhibitor. AZA response is associated with the induction of an inflammatory response in HPCs in vivo. By molecular bar coding and tracking in idual clones, we found that, although AZA alters the sub-clonal contribution to different lineages, founder clones are not eliminated and continue to drive hematopoiesis even in complete responders.
On the characterisation of vehicular mobility in a large-scale public transport network
Publisher: Inderscience Publishers
Date: 2012
A Bayesian Routing Framework for Delay Tolerant Networks
Publisher: IEEE
Date: 04-2010
A Novel Model-Based Security Scheme for LoRa Key Generation
Publisher: ACM
Date: 18-05-2021
Analysis of per-node traffic load in multi-hop wireless sensor networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2009
Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment
Publisher: Springer International Publishing
Date: 2021
Incentive Mechanism Design for Heterogeneous Crowdsourcing Using All-Pay Contests
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2016
Authentication and Confidentiality in Wireless Ad Hoc Networks
Publisher: WORLD SCIENTIFIC
Date: 09-2009
Detecting Internet of Things Bots: A Comparative Study
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Anchored opportunity queueing: a low-latency scheduler for fair arbitration among virtual channels
Publisher: Elsevier BV
Date: 12-2003
Reconstruction Attack on Differential Private Trajectory Protection Mechanisms
Publisher: ACM
Date: 05-12-2022
On the Activity Privacy of Blockchain for IoT
Publisher: IEEE
Date: 10-2019
MOF-BC: A memory optimized and flexible blockchain for large scale networks
Publisher: Elsevier BV
Date: 03-2019
Enabling Efficient and High Quality Zooming for Online Video Streaming using Edge Computing
Publisher: IEEE
Date: 11-2018
ProductChain: Scalable blockchain framework to support provenance in supply chains
Publisher: IEEE
Date: 11-2018
A Technology-driven Overview on Blockchain-based Academic Certificate Handling
Publisher: IGI Global
Date: 2020
DOI: 10.4018/978-1-5225-9478-9.CH010
Abstract: Academic certificates have a significant influence on the job market, proving a particular competence or skill of a recipient. However, the ability to verify the authenticity of certificates does not follow its relevance in the labor market, causing several companies to exploit this inefficiency to falsify information or even to make fake certificates. In this context, several proposals based on blockchain appear as a technological alternative to increase the transparency and the ease of verification of these certificates. This chapter discusses the main proposals toward the handling of academic certificates from a technological point of view, discussing the technical aspects that may influence the relationship between confidentiality and transparency as well as application requirements such as performance and reliability in contrast to the blockchain characteristics. Finally, this chapter summarizes the key challenges and opportunities based on this discussion outlining future directions for academic certificate management.
MB-EHR: A Multilayer Blockchain-based EHR
Publisher: IEEE
Date: 03-05-2021
Blockchain for IoT Security and Privacy: The Case Study of a Smart Home
Publisher: IEEE
Date: 03-2017
AETD: An Application-Aware, Energy-Efficient Trajectory Design for Flying Base Stations
Publisher: IEEE
Date: 12-2019
Registered nurses' expectations and experiences of first year students' clinical skills and knowledge.
Publisher: Informa UK Limited
Date: 06-2005
Abstract: Clinical education is a fundamental component of nurse education. In theory, this aspect involves integrated input from registered nurses, clinical educators and university lecturers. Registered nurses are important contributors to this process and play a major role in influencing and shaping undergraduate nursing students' early clinical experiences. Despite this important function, their voice has been somewhat neglected. Little is known about registered nurses' expectations and experiences of first year aduate nursing students undertaking their first clinical placement. The aim of this study was to explore registered nurses' expectations and experiences of first year undergraduate students' levels of knowledge and clinical skills. Three consecutive focus groups were conducted with a purposive s le of 16 registered nurses. Interviews were audiotaped and transcribed and thematic analysis applied to the data to identfy themes imbedded in the data sets. Three main themes emerged: (1) Clinical nursing skills (2) Knowledge requirements and (3) Experiences of reality shock. The findings highlight that registered nurses' expectations of first year students' clinical skills and knowledge were not consistently met. Registered nurses placed significant emphasis upon a range of basic skills, but acknowledged that some aspects of nursing knowledge can only be learned through experience. Furthermore, they demonstrated a considerable degree of empathy surrounding the reality shock that students might experience during early clinical placement. Findings from this study suggest that registered nurses and academics differ in their perceptions surrounding the level of clinical skills first year students should have during their first clinical placement. There appears to be a two way theory practice gap between registered nurses in clinical practice and academics in tertiary institutions. Improved communication between registered nurses and providers of nurse education may assist in addressing some of the issues raised by this study and reduce the theory practice gap, which remains 'alive and well'.
A Relational Network Framework for Interoperability in Distributed Energy Trading
Publisher: IEEE
Date: 05-2020
Blockchain-based Verifiable Credential Sharing with Selective Disclosure
Publisher: IEEE
Date: 12-2020
Context-based Smart Contracts For Appendable-block Blockchains
Publisher: IEEE
Date: 05-2020
Fair Scheduling for Data Collection in Mobile Sensor Networks with Energy Harvesting
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2019
DeTRM: Decentralised Trust and Reputation Management for Blockchain-based Supply Chains
Publisher: IEEE
Date: 02-05-2022
Implementation and evaluation of adaptive video streaming based on Markov decision process
Publisher: IEEE
Date: 05-2016
Leveraging lightweight blockchain to establish data integrity for surveillance cameras
Publisher: IEEE
Date: 05-2020
AQA: An Adaptive Quality Assessment Framework for Online Review Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
Adversarial Multi-view Networks for Activity Recognition
Publisher: Association for Computing Machinery (ACM)
Date: 15-06-2020
DOI: 10.1145/3397323
Abstract: Human activity recognition (HAR) plays an irreplaceable role in various applications and has been a prosperous research topic for years. Recent studies show significant progress in feature extraction (i.e., data representation) using deep learning techniques. However, they face significant challenges in capturing multi-modal spatial-temporal patterns from the sensory data, and they commonly overlook the variants between subjects. We propose a Discriminative Adversarial MUlti-view Network (DAMUN) to address the above issues in sensor-based HAR. We first design a multi-view feature extractor to obtain representations of sensory data streams from temporal, spatial, and spatio-temporal views using convolutional networks. Then, we fuse the multi-view representations into a robust joint representation through a trainable Hadamard fusion module, and finally employ a Siamese adversarial network architecture to decrease the variants between the representations of different subjects. We have conducted extensive experiments under an iterative left-one-subject-out setting on three real-world datasets and demonstrated both the effectiveness and robustness of our approach.
Gargoyle: A Network-based Insider Attack Resilient Framework for Organizations
Publisher: IEEE
Date: 10-2018
Impact of consensus on appendable-block blockchain for IoT
Publisher: ACM
Date: 12-11-2019
Analysis of Resource Reservation Aggregation in On-Board Networks
Publisher: IEEE
Date: 04-2007
Experiences and learning during a graduate nurse program: an examination using a focus group approach
Publisher: Elsevier BV
Date: 12-2004
DOI: 10.1016/J.NEPR.2004.01.004
Abstract: The graduate nurse year requires in iduals to make a huge transition from university student to registered nurse as part of the health care workforce. New graduates experience steep learning curves throughout the first year of professional practice. This study sought to explore experiences and learning occurring throughout the graduate nurse program for a group of seven new nurse graduates. Focus group interviews were conducted at six months and 12 months into the program using the same set of guiding questions. The first interview highlighted that graduates early in the graduate year were internalised, concentrating on their own survival in managing workloads, facing practice realities and coming to terms with themselves as nurses. Learning was primarily about survival strategies and performing tasks. By the second interview, graduates were much less focussed on themselves. They understood their place in the health care team, had gained confidence in their relationships, and were showing concern for the next graduates arriving. Learning at this stage involved more higher order skills, including critical thinking.
Trust-based privacy-aware participant selection in social participatory sensing
Publisher: Elsevier BV
Date: 02-2015
Predicting the region of interest for dynamic foveated streaming
Publisher: IEEE
Date: 11-2015
Changing handover practices: One private hospital's experiences
Publisher: Wiley
Date: 06-1997
DOI: 10.1111/J.1440-172X.1997.TB00085.X
Abstract: The handover practice has long been an important component of clinical nursing practice allowing nurses to exchange relevant client information from one shift to the next and ensure continuity of patient care. Traditional approaches have seen nursing handovers taking place in a room away from general ward activity. Oncoming nursing staff receive the information verbally from nurses on the previous shift about all patients within the ward or unit. This practice has been proven over time to present difficulties and consequently, many hospitals are choosing to adopt models that better address current needs. This analysis describes the creative approaches taken by one private hospital in modifying handover practices with the view to reduce time and increase overall efficiency and effectiveness, whilst ensuring that staff and ward requirements are considered. The study highlights how action research principles can be applied to introduce change into the clinical practice environment.
MEChain: A Multi-layer Blockchain Structure with Hierarchical Consensus for Secure EHR System
Publisher: IEEE
Date: 10-2021
A pragmatic approach to area coverage in hybrid wireless sensor networks
Publisher: Wiley
Date: 2011
DOI: 10.1002/WCM.913
Energy and service-priority aware trajectory design for UAV-BSs using double Q-learning
Publisher: IEEE
Date: 09-01-2021
International clinical placements for undergraduate students
Publisher: Wiley
Date: 07-2003
DOI: 10.1046/J.1365-2702.2003.00717.X
Abstract: This paper reports the findings of a study that sought to gain insight into the experiences of third year nursing students who participated in a 4-week clinical placement in an international setting. This study is different from many studies describing international placements for undergraduate nursing students as it concentrates on clinical experiences on placement. Students' reflective journals and face-to-face discussions were used to collect data, which were analysed by thematic content analysis. Categories were identified describing a focus on micro clinical-based issues that expanded over time to a focus on broader issues reflecting the "nursing culture" of the placement. Students described both positive and negative aspects of being placed in an international clinical setting, with the concept of "being different" emerging. Whilst the findings cannot be generalized beyond the s le, the study highlights the importance of adequate preparation and support for students on international clinical placements, with emphasis on attention to clinical detail.
Proxy re-encryption enabled secure and anonymous IoT data sharing platform based on blockchain
Publisher: Elsevier BV
Date: 02-2021
Utilizing Link Characterization for Improving the Performance of Aerial Wireless Sensor Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2013
Cost-Effective Blockchain-based IoT Data Marketplaces with a Credit Invariant
Publisher: IEEE
Date: 03-05-2021
Altered promoter nucleosome positioning is an early event in gene silencing
Publisher: Informa UK Limited
Date: 03-10-2014
Characterization of a large-scale Delay Tolerant Network
Publisher: IEEE
Date: 10-2010
Passenger demand forecasting with multi-task convolutional recurrent neural networks
Publisher: Springer International Publishing
Date: 2019
Demo: A Delay-Tolerant Payment Scheme on the Ethereum Blockchain
Publisher: IEEE
Date: 06-2018
Preserving privacy in participatory sensing systems
Publisher: Elsevier BV
Date: 07-2010
Cost-effective IoT devices as trustworthy data sources for a blockchain-based water management system in precision agriculture
Publisher: Elsevier BV
Date: 2021
Privacy-preserving targeted mobile advertising: A Blockchain-based framework for mobile ads
Publisher: Elsevier BV
Date: 02-2023
BAILIF: A Blockchain Agnostic Interoperability Framework
Publisher: IEEE
Date: 05-2023
MAPK/ERK2 phosphorylates ERG at serine 283 in leukemic cells and promotes stem cell signatures and cell proliferation
Publisher: Springer Science and Business Media LLC
Date: 08-03-2016
DOI: 10.1038/LEU.2016.55
κ-FSOM: Fair link scheduling optimization for energy-aware data collection in mobile sensor networks
Publisher: Springer International Publishing
Date: 2014
LSB: A Lightweight Scalable Blockchain for IoT security and anonymity
Publisher: Elsevier BV
Date: 12-2019
Link characterization for Aerial Wireless Sensor Networks
Publisher: IEEE
Date: 12-2011
TradeChain: Decoupling Traceability and Identity in Blockchain enabled Supply Chains
Publisher: IEEE
Date: 10-2021
Towards a blockchain powered IoT data marketplace
Publisher: IEEE
Date: 05-01-2021
A Novel Blockchain-as-a-Service (BaaS) Platform for Local 5G Operators
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Performance evaluation of a wireless sensor network based tracking system
Publisher: IEEE
Date: 09-2008
Identifying Highly Influential Travellers for Spreading Disease on a Public Transport System
Publisher: IEEE
Date: 08-2020
Securing Channel Assignment in Multi-Radio Multi-Channel Wireless Mesh Networks
Publisher: IEEE
Date: 2007
Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots
Publisher: Elsevier BV
Date: 2024
Toward Mitigation-as-a-Service in Cooperative Network Defenses
Publisher: IEEE
Date: 08-2018
SEW-ing a Simple Endorsement Web to incentivize trustworthy participatory sensing
Publisher: IEEE
Date: 06-2014
Detection and Tracking Using Particle-Filter-Based Wireless Sensor Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2010
DOI: 10.1109/TMC.2010.83
Adaptive Position Update for Geographic Routing in Mobile Ad Hoc Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2013
DOI: 10.1109/TMC.2012.20
Multi-agent systems: A survey
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Reliable and Secure End-to-End Data Aggregation Using Secret Sharing in WSNs
Publisher: IEEE
Date: 03-2017
Wi-Access: Second Factor User Authentication leveraging WiFi Signals
Publisher: IEEE
Date: 03-2018
Dependable IoT Using Blockchain-Based Technology
Publisher: IEEE
Date: 10-2018
Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent Environment
Publisher: MDPI AG
Date: 28-11-2021
DOI: 10.3390/FI13120305
Abstract: Recommendation systems are crucial in the provision of services to the elderly with Alzheimer’s disease in IoT-based smart home environments. In this work, a Reminder Care System (RCS) is presented to help Alzheimer patients live in and operate their homes safely and independently. A contextual bandit approach is utilized in the formulation of the proposed recommendation system to tackle dynamicity in human activities and to construct accurate recommendations that meet user needs without their feedback. The system was evaluated based on three public datasets using a cumulative reward as a metric. Our experimental results demonstrate the feasibility and effectiveness of the proposed Reminder Care System for real-world IoT-based smart home applications.
WDR5 Supports an N-Myc Transcriptional Complex That Drives a Protumorigenic Gene Expression Signature in Neuroblastoma
Publisher: American Association for Cancer Research (AACR)
Date: 30-11-2015
DOI: 10.1158/0008-5472.CAN-15-0423
Abstract: MYCN gene lification in neuroblastoma drives a gene expression program that correlates strongly with aggressive disease. Mechanistically, trimethylation of histone H3 lysine 4 (H3K4) at target gene promoters is a strict prerequisite for this transcriptional program to be enacted. WDR5 is a histone H3K4 presenter that has been found to have an essential role in H3K4 trimethylation. For this reason, in this study, we investigated the relationship between WDR5-mediated H3K4 trimethylation and N-Myc transcriptional programs in neuroblastoma cells. N-Myc upregulated WDR5 expression in neuroblastoma cells. Gene expression analysis revealed that WDR5 target genes included those with MYC-binding elements at promoters such as MDM2. We showed that WDR5 could form a protein complex at the MDM2 promoter with N-Myc, but not p53, leading to histone H3K4 trimethylation and activation of MDM2 transcription. RNAi-mediated attenuation of WDR5 upregulated expression of wild-type but not mutant p53, an effect associated with growth inhibition and apoptosis. Similarly, a small-molecule antagonist of WDR5 reduced N-Myc/WDR5 complex formation, N-Myc target gene expression, and cell growth in neuroblastoma cells. In MYCN-transgenic mice, WDR5 was overexpressed in precancerous ganglion and neuroblastoma cells compared with normal ganglion cells. Clinically, elevated levels of WDR5 in neuroblastoma specimens were an independent predictor of poor overall survival. Overall, our results identify WDR5 as a key cofactor for N-Myc–regulated transcriptional activation and tumorigenesis and as a novel therapeutic target for MYCN- lified neuroblastomas. Cancer Res 75(23) 5143–54. ©2015 AACR.
Receiving the Baton\: Editorial
Publisher: Elsevier BV
Date: 10-2019
Interoperability and Synchronization Management of Blockchain-Based Decentralized e-Health Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2020
A socially-aware incentive scheme for social participatory sensing
Publisher: IEEE
Date: 04-2015
Trajectory optimization of flying energy sources using Q-learning to recharge hotspot UAVs
Publisher: IEEE
Date: 07-2020
A trust framework for social participatory sensing systems
Publisher: Springer Berlin Heidelberg
Date: 2013
Attacks and Security Mechanisms
Publisher: Auerbach Publications
Date: 21-08-2008
DOI: 10.1201/B13595-3
Reliable transmissions in AWSNs by using O-BESPAR hybrid antenna
Publisher: Elsevier BV
Date: 08-2016
Nurturing the future of midwifery through mentoring
Publisher: Elsevier BV
Date: 06-2003
DOI: 10.1016/S1031-170X(03)80002-8
Abstract: Mentoring has become a popular approach for providing support in developing knowledge and practice across a variety of disciplines. Midwives often provide mentoring for midwifery mentees and newly graduated midwives without formal recognition or predetermined outcomes. Little literature exists within midwifery practice outlining how its use may be of value. This paper presents literature around the topic of mentoring, discussing possible benefits and suggesting ways in which mentoring may be utilised within midwifery to promote personal and professional development. Finally, it presents some of the limited ex les of mentoring emerging from the midwifery literature.
Towards a Privacy-Preserving Way of Vehicle Data Sharing – A Case for Blockchain Technology?
Publisher: Springer International Publishing
Date: 18-08-2018
Ear-Phone: An End-to-End Participatory Urban Noise Mapping System
Publisher: ACM
Date: 12-04-2010
Cluster-based channel assignment in multi-radio multi-channel wireless mesh networks
Publisher: IEEE
Date: 10-2009
Optimally Mitigating Backdoor Attacks in Federated Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Reliable communications in aerial sensor networks by using a hybrid antenna
Publisher: IEEE
Date: 10-2012
Trust and Reputation Management for Blockchain-enabled IoT
Publisher: IEEE
Date: 03-01-2023
Automatic Device Classification from Network Traffic Streams of Internet of Things
Publisher: IEEE
Date: 10-2018
Towards an optimized blockchain for IoT
Publisher: ACM
Date: 18-04-2017
On the importance of link characterization for aerial wireless sensor networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2016
Privacy-preserving Trust Management for Blockchain-based Resource Sharing in 6G-IoT
Publisher: IEEE
Date: 05-2023
A review on Virtual Reality and Augmented Reality use-cases of Brain Computer Interface based applications for smart cities
Publisher: Elsevier BV
Date: 02-2022
On the latency and fairness characteristics of pre-order deficit round Robin
Publisher: Elsevier BV
Date: 05-2004
Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces
Publisher: Springer Berlin Heidelberg
Date: 2013
A Decentralized Architecture for Trusted Dataset Sharing Using Smart Contracts and Distributed Storage
Publisher: MDPI AG
Date: 24-11-2022
DOI: 10.3390/S22239118
Abstract: The data economy is based on data and information sharing and tremendously impacts society as it facilitates innovative collaborations and decision-making strategies. Nonetheless, most dataset-sharing solutions rely on a centralized authority that rules data ownership, availability, and accessibility. Recent works have explored the integration of distributed storage and blockchain to enhance decentralization, data access, and smart contracts for automating the interactions between actors and data. However, current solutions propose a smart contract design limiting the system’s scalability in terms of actors and shared datasets. Furthermore, little is known about the performance of these architectures when using distributed storage instead of centralized storage approaches. This paper proposes a scalable architecture called DeBlock for data sharing in a trusted way among unreliable actors. The architecture integrates a public blockchain that provides a transparent record of datasets and interactions, with a distributed storage for data storage in a completely decentralized way. Furthermore, the architecture provides a smart-contract design for a transparent catalog of datasets, actors, and interactions with efficient search and retrieval capabilities. To assess the system’s feasibility, robustness, and scalability, we implement a prototype using the Ethereum blockchain and leveraging two decentralized storage protocols, Swarm and IPFS. We evaluate the performance of our proposed system in different scenarios (e.g., varying the amount and size of the shared datasets). Our results demonstrate that our proposal outperforms benchmarks in gas consumption, latency, and resource requirements, especially when increasing the number of actors and shared datasets.
Blockchain and Cyberphysical Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2020
Aggregation policies over RSVP tunnels
Publisher: IEEE
Date: 2005
A Decentralized Peer-to-Peer Remote Health Monitoring System
Publisher: MDPI AG
Date: 16-03-2020
DOI: 10.3390/S20061656
Abstract: Within the Internet of Things (IoT) and blockchain research, there is a growing interest in decentralizing health monitoring systems, to provide improved privacy to patients, without relying on trusted third parties for handling patients’ sensitive health data. With public blockchain deployments being severely limited in their scalability, and inherently having latency in transaction processing, there is room for researching and developing new techniques to leverage the security features of blockchains within healthcare applications. This paper presents a solution for patients to share their biomedical data with their doctors without their data being handled by trusted third party entities. The solution is built on the Ethereum blockchain as a medium for negotiating and record-keeping, along with Tor for delivering data from patients to doctors. To highlight the applicability of the solution in various health monitoring scenarios, we have considered three use-cases, namely cardiac monitoring, sleep apnoea testing, and EEG following epileptic seizures. Following the discussion about the use cases, the paper outlines a security analysis performed on the proposed solution, based on multiple attack scenarios. Finally, the paper presents and discusses a performance evaluation in terms of data delivery time in comparison to existing centralized and decentralized solutions.
A blockchain-based IoT data marketplace
Publisher: Springer Science and Business Media LLC
Date: 22-09-2022
Energy Efficient Legitimate Wireless Surveillance of UAV Communications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2019
Measurement, Characterization, and Modeling of LoRa Technology in Multifloor Buildings
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Characterising user targeting for in-App Mobile Ads
Publisher: IEEE
Date: 04-2014
A Privacy-Preserving Reputation System for Participatory Sensing
Publisher: IEEE
Date: 10-2012
The Proposal of a Blockchain-Based Architecture for Transparent Certificate Handling
Publisher: Springer International Publishing
Date: 2019
Consensus Algorithms on Appendable-Block Blockchains: Impact and Security Analysis
Publisher: Springer Science and Business Media LLC
Date: 08-2022
Smart user identification using cardiopulmonary activity
Publisher: Elsevier BV
Date: 08-2019
Fair, efficient and low-latency packet scheduling using nested deficit round robin
Publisher: IEEE
On large scale deployment of parallelized file transfer protocol
Publisher: IEEE
Date: 2005
Toward Blockchain-Based Trust and Reputation Management for Trustworthy 6G Networks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Quality Improvement of Mobile Video Using Geo-Intelligent Rate Adaptation
Publisher: IEEE
Date: 04-2010
Eavesdropping and Jamming Selection Policy for Suspicious UAVs Based on Low Power Consumption over Fading Channels
Publisher: MDPI AG
Date: 05-03-2019
DOI: 10.3390/S19051126
Abstract: Traditional wireless security focuses on preventing unmanned aerial vehicle (UAV) communications from suspicious eavesdropping and/or jamming attacks. However, there is a growing need for governments to keep malicious UAV communications under legitimate surveillance. This paper first investigates a new surveillance paradigm for monitoring suspicious UAV communications via jamming suspicious UAVs. Due to the power consumption limitation, the choice of eavesdropping and jamming will reflect the performance of the UAVs communication. Therefore, the paper analyses the UAV’s eavesdropping and jamming models in different cases, and then proposes the model to optimize the data package in the constraints of lower power consumption, which can be solved by the proposed selection policy. The simulation results validate our proposed selection policy in terms of power consumption and eavesdropped packets. In different fading models, power consumption increases with time, regardless of distances, and our proposed policy performs better in Weibull fading channels in terms of eavesdropped packets.
Comprehensive mobile bandwidth traces from vehicular networks
Publisher: ACM
Date: 10-05-2016
Evaluating Emergency Evacuation Events Using Building WiFi Data
Publisher: IEEE
Date: 04-2020
Erratum
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2013
Barriers to blockchain-based decentralised energy trading: a systematic review
Publisher: Informa UK Limited
Date: 13-02-2023
Reliable positioning with hybrid antenna model for aerial wireless sensor and actor networks
Publisher: IEEE
Date: 04-2014
Towards Privacy-Sensitive Participatory Sensing
Publisher: IEEE
Date: 03-2009
Recharging of Flying Base Stations using Airborne RF Energy Sources
Publisher: IEEE
Date: 04-2019
Mobile Broadband Performance Measured from High-Speed Regional Trains
Publisher: IEEE
Date: 09-2011
Reinforcing Industry 4.0 With Digital Twins and Blockchain-Assisted Federated Learning
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2023
A Trust-based Recruitment Framework for Multi-hop Social Participatory Sensing
Publisher: IEEE
Date: 05-2013
Automatic image capturing and processing for PetrolWatch
Publisher: IEEE
Date: 12-2011
Estimating Passenger Queue for Bus Resource Optimization Using LoRaWAN-Enabled Ultrasonic Sensors
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
Automated Privacy Preferences for Smart Home Data Sharing Using Personal Data Stores
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Can pre-trained Transformers be used in detecting complex sensitive sentences? - A Monsanto case study
Publisher: IEEE
Date: 12-2021
Chain or DAG? Underlying data structures, architectures, topologies and consensus in distributed ledger technology: A review, taxonomy and research issues
Publisher: Elsevier BV
Date: 10-2022
Human identification using WiFi signal
Publisher: IEEE
Date: 03-2016
SMOaaS: a Scalable Matrix Operation as a Service model in Cloud
Publisher: Springer Science and Business Media LLC
Date: 18-08-2020
CredTrust: Credential Based Issuer Management for Trust in Self-Sovereign Identity
Publisher: IEEE
Date: 08-2022
Energy Harvesting Wearables Can Tell Which Train Route You Have Taken
Publisher: IEEE
Date: 11-2016
DOI: 10.1109/LCN.2016.048
Temporary immutability: A removable blockchain solution for prosumer-side energy trading
Publisher: Elsevier BV
Date: 04-2021
Discursive influences on clinical teaching in Australian undergraduate nursing programs
Publisher: Elsevier BV
Date: 04-2004
Performance analysis of geography‐limited broadcasting in multihop wireless networks
Publisher: Wiley
Date: 22-09-2011
DOI: 10.1002/WCM.1188
Special Issue on Data Distribution in Industrial and Pervasive Internet
Publisher: Elsevier BV
Date: 07-2020
Towards Policy Enforcement Point as a Service (PEPS)
Publisher: IEEE
Date: 11-2016
A Survey of COVID-19 Contact Tracing Apps
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
On the use of location window in geo-intelligent HTTP adaptive video streaming
Publisher: IEEE
Date: 12-2012
Multipath Fading Effect on Spatial Packet Loss Correlation in Wireless Networks
Publisher: IEEE
Date: 09-2011
Crowd Management
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2019
WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes
Publisher: Springer Science and Business Media LLC
Date: 06-03-2018
Exploiting constrained IoT devices in a trustless blockchain-based water management system
Publisher: IEEE
Date: 05-2020
Routing-Aware and Malicious Node Detection in a Concealed Data Aggregation for WSNs
Publisher: Association for Computing Machinery (ACM)
Date: 13-02-2019
DOI: 10.1145/3293537
Abstract: Data aggregation in Wireless Sensor Networks (WSNs) can effectively reduce communication overheads and reduce the energy consumption of sensor nodes. A WSN needs to be not only energy efficient but also secure. Various attacks may make data aggregation unsecure. We investigate the reliable and secure end-to-end data aggregation problem considering selective forwarding attacks and modification attacks in homogeneous WSNs, and propose two data aggregation approaches. Our approaches, namely Sign-Share and Sham-Share, use secret sharing and signatures to allow aggregators to aggregate the data without understanding the contents of messages and the base station to verify the aggregated data and retrieve the raw data from the aggregated data. To the best of our knowledge, this is the first lightweight en-routing malicious node detection in concealed data aggregation. We have performed an extensive simulation to compare our approaches and the two state-of-the-art approaches PIP and RCDA-HOMO. The simulation results show that both Sign-Share and Sham-Share consume a reasonable amount of time in processing and aggregating the data. The simulation results show that our first approach achieved an average network lifetime of 102.33% over PIP and average aggregation energy consumption of 74.93%. In addition, it achieved an average aggregation processing time and sensor data processing time of 95.4% and 90.34% over PIP and 98.7% and 92.07% over RCDA-HOMO, respectively, and it achieved an average network delay of 71.95% over PIP. Although RCDA-HOMO is completely a different technique, a comparison was performed to measure the computational overhead.
Deception for Cyber Defence: Challenges and Opportunities
Publisher: IEEE
Date: 12-2021
STG2Seq: Spatial-temporal graph to sequence model for multi-step passenger demand forecasting
Publisher: International Joint Conferences on Artificial Intelligence Organization
Date: 08-2019
Abstract: Multi-step passenger demand forecasting is a crucial task in on-demand vehicle sharing services. However, predicting passenger demand is generally challenging due to the nonlinear and dynamic spatial-temporal dependencies. In this work, we propose to model multi-step citywide passenger demand prediction based on a graph and use a hierarchical graph convolutional structure to capture both spatial and temporal correlations simultaneously. Our model consists of three parts: 1) a long-term encoder to encode historical passenger demands 2) a short-term encoder to derive the next-step prediction for generating multi-step prediction 3) an attention-based output module to model the dynamic temporal and channel-wise information. Experiments on three real-world datasets show that our model consistently outperforms many baseline methods and state-of-the-art models.
A survey on privacy in mobile participatory sensing applications
Publisher: Elsevier BV
Date: 11-2011
Trajectory Approximation for Resource Constrained Mobile Sensor Networks
Publisher: IEEE
Date: 05-2014
Poster Abstract: A Novel Modeling Involved Security Approach for LoRa Key Generation
Publisher: IEEE
Date: 04-2020
Measuring and Modeling Car Park Usage: Lessons Learned from a Campus Field-Trial
Publisher: IEEE
Date: 06-2019
Poster Abstract: A QoS-aware, Energy-efficient Trajectory Optimization for UAV Base Stations using Q-Learning
Publisher: IEEE
Date: 04-2020
Optimal Prizes for All-Pay Contests in Heterogeneous Crowdsourcing
Publisher: IEEE
Date: 10-2014
DOI: 10.1109/MASS.2014.66
Algorithmic Governance in Smart Cities: The Conundrum and the Potential of Pervasive Computing Solutions
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2018
A critical examination of clinical teaching in undergraduate nurse education
Publisher: Elsevier BV
Date: 05-2005
Efficient Boundary Estimation for Practical Deployment of Mobile Sensors in Hybrid Sensor Networks
Publisher: IEEE
Date: 10-2006
PELE: Power efficient legitimate eavesdropping via jamming in UAV communications
Publisher: IEEE
Date: 06-2017
Can Smart Plugs Predict Electric Power Consumption? A Case Study
Publisher: ICST
Date: 2014
Optimizing HTTP-Based Adaptive Streaming in Vehicular Environment Using Markov Decision Process
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2015
Ensuring Area Coverage in Hybrid Wireless Sensor Networks
Publisher: Springer Berlin Heidelberg
Date: 2007
Towards Automated Data Sharing in Personal Data Stores
Publisher: IEEE
Date: 22-03-2021
Efficient Data Communication Using Distributed Ledger Technology and IOTA-Enabled Internet of Things for a Future Machine-to-Machine Economy
Publisher: MDPI AG
Date: 25-06-2021
DOI: 10.3390/S21134354
Abstract: A potential rise in interest in the Internet of Things in the upcoming years is expected in the fields of healthcare, supply chain, logistics, industries, smart cities, smart homes, cyber physical systems, etc. This paper discloses the fusion of the Internet of Things (IoT) with the so-called “distributed ledger technology” (DLT). IoT sensors like temperature sensors, motion sensors, GPS or connected devices convey the activity of the environment. Sensor information acquired by such IoT devices are then stored in a blockchain. Data on a blockchain remains immutable however its scalability still remains a challenging issue and thus represents a hindrance for its mass adoption in the IoT. Here a communication system based on IOTA and DLT is discussed with a systematic architecture for IoT devices and a future machine-to-machine (M2M) economy. The data communication between IoT devices is analyzed using multiple use cases such as sending DHT-11 sensor data to the IOTA tangle. The value communication is analyzed using a novel “micro-payment enabled over the top” (MP-OTT) streaming platform that is based on the “pay-as-you-go” and “consumption based” models to showcase IOTA value transactions. In this paper, we propose an enhancement to the classical “masked authenticated message” (MAM) communication protocol and two architectures called dual signature masked authenticated message (DSMAM) and index-based address value transaction (IBAVT). Further, we provided an empirical analysis and discussion of the proposed techniques. The implemented solution provides better address management with secured sharing and communication of IoT data, complete access control over the ownership of data and high scalability in terms of number of transactions that can be handled.
How mobility patterns drive disease spread
Publisher: IEEE
Date: 06-2019
In Situ MIMO-WPT Recharging of UAVs Using Intelligent Flying Energy Sources
Publisher: MDPI AG
Date: 05-09-2021
Abstract: Unmanned Aerial Vehicles (UAVs), used in civilian applications such as emergency medical deliveries, precision agriculture, wireless communication provisioning, etc., face the challenge of limited flight time due to their reliance on the on-board battery. Therefore, developing efficient mechanisms for in situ power transfer to recharge UAV batteries holds potential to extend their mission time. In this paper, we study the use of the far-field wireless power transfer (WPT) technique from specialized, transmitter UAVs (tUAVs) carrying Multiple Input Multiple Output (MIMO) antennas for transferring wireless power to receiver UAVs (rUAVs) in a mission. The tUAVs can fly and adjust their distance to the rUAVs to maximize energy transfer gain. The use of MIMO antennas further boosts the energy reception by narrowing the energy beam toward the rUAVs. The complexity of their dynamic operating environment increases with the growing number of tUAVs and rUAVs with varying levels of energy consumption and residual power. We propose an intelligent trajectory selection algorithm for the tUAVs based on a deep reinforcement learning model called Proximal Policy Optimization (PPO) to optimize the energy transfer gain. The simulation results demonstrate that the PPO-based system achieves about a tenfold increase in flight time for a set of realistic transmit power, distance, sub-band number and antenna numbers. Further, PPO outperforms the benchmark movement strategies of “Traveling Salesman Problem” and “Low Battery First” when used by the tUAVs.
Traceable, trustworthy and privacy preserving agri-food supply chains
Publisher: IEEE
Date: 12-2021
Experiences With IoT and AI in a Smart Campus for Optimizing Classroom Usage
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2019
From MANET to people-centric networking: Milestones and open research challenges
Publisher: Elsevier BV
Date: 11-2015
HTTP-Based Adaptive Streaming for Mobile Clients using Markov Decision Process
Publisher: IEEE
Date: 12-2013
Trust assessment in social participatory networks
Publisher: IEEE
Date: 10-2013
A Journey in Applying Blockchain for Cyberphysical Systems
Publisher: IEEE
Date: 2020
Energy-Efficient Cooperative Relaying for Unmanned Aerial Vehicles
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2016
Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction
Publisher: ACM
Date: 03-11-2019
Empirical evaluation of MDP-based DASH player
Publisher: IEEE
Date: 11-2015
Poster abstract: Passive activity classification of smart homes through wireless packet sniffing
Publisher: IEEE
Date: 04-2020
A unified framework for data integrity protection in people-centric smart cities
Publisher: Springer Science and Business Media LLC
Date: 04-02-2019
Is This IoT Device Likely to Be Secure? Risk Score Prediction for IoT Devices Using Gradient Boosting Machines
Publisher: Springer International Publishing
Date: 2022
Blockchain-Based Decentralized Federated Learning
Publisher: IEEE
Date: 05-09-2022
Realizing a Smart University Campus: Vision, Architecture, and Implementation
Publisher: IEEE
Date: 12-2018
Towards a Distributed Defence Mechanism Against IoT-based Bots
Publisher: IEEE
Date: 16-11-2020
A context-based privacy preserving framework for wearable visual lifeloggers
Publisher: IEEE
Date: 03-2016
Understanding crowd density with a smartphone sensing system
Publisher: IEEE
Date: 02-2018
Is Privacy Regulation Slowing Down Research on Pervasive Computing?
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2020
A Parallelized File-Transfer-Protocol for On-Board IP Networks
Publisher: IEEE
Date: 2005
TrustMeter: A trust assessment scheme for collaborative privacy mechanisms in participatory sensing applications
Publisher: IEEE
Date: 04-2014
The Design, Implementation, and Deployment of a Smart Lighting System for Smart Buildings
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2019
Privacy-Aware Trust-Based Recruitment in Social Participatory Sensing
Publisher: Springer International Publishing
Date: 2014
Improving IoT Data Quality in Mobile Crowd Sensing: A Cross Validation Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2019
Poster abstract: Towards scalable and trustworthy decentralized collaborative intrusion detection system for IoT
Publisher: IEEE
Date: 04-2020
EPLA: Energy-balancing packets scheduling for airborne relaying networks
Publisher: IEEE
Date: 06-2015
Service-oriented middleware for peer-to-peer computing
Publisher: IEEE
Date: 2005
Disruption of a −35 kb Enhancer Impairs CTCF Binding and MLH1 Expression in Colorectal Cells
Publisher: American Association for Cancer Research (AACR)
Date: 14-09-2018
DOI: 10.1158/1078-0432.CCR-17-3678
Abstract: Purpose: MLH1 is a major tumor suppressor gene involved in the pathogenesis of Lynch syndrome and various sporadic cancers. Despite their potential pathogenic importance, genomic regions capable of regulating MLH1 expression over long distances have yet to be identified. Experimental Design: Here, we use chromosome conformation capture (3C) to screen a 650-kb region flanking the MLH1 locus to identify interactions between the MLH1 promoter and distal regions in MLH1-expressing and nonexpressing cells. Putative enhancers were functionally validated using luciferase reporter assays, chromatin immunoprecipitation, and CRISPR-Cas9–mediated deletion of endogenous regions. To evaluate whether germline variants in the enhancer might contribute to impaired MLH1 expression in patients with suspected Lynch syndrome, we also screened germline DNA from a cohort of 74 patients with no known coding mutations or epimutations at the MLH1 promoter. Results: A 1.8-kb DNA fragment, 35 kb upstream of the MLH1 transcription start site enhances MLH1 gene expression in colorectal cells. The enhancer was bound by CTCF and CRISPR-Cas9–mediated deletion of a core binding region impairs endogenous MLH1 expression. A total of 5.4% of suspected Lynch syndrome patients have a rare single-nucleotide variant (G & A rs143969848 2.5% in gnomAD European, non-Finnish) within a highly conserved CTCF-binding motif, which disrupts enhancer activity in SW620 colorectal carcinoma cells. Conclusions: A CTCF-bound region within the MLH1-35 enhancer regulates MLH1 expression in colorectal cells and is worthy of scrutiny in future genetic screening strategies for suspected Lynch syndrome associated with loss of MLH1 expression. Clin Cancer Res 24(18) 4602–11. ©2018 AACR.
A distributed mechanism for dynamic resource trading in cooperative mobile video streaming
Publisher: IEEE
Date: 06-2014
Blockchain based Proxy Re-Encryption Scheme for Secure IoT Data Sharing
Publisher: IEEE
Date: 05-2019
A machine learning and blockchain based secure and cost-effective framework for minor medical consultations
Publisher: Elsevier BV
Date: 09-2022
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