ORCID Profile
0000-0003-4928-7076
Current Organisation
Monash University
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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.
Computer Software | Software Engineering | Pattern Recognition and Data Mining | Distributed and Grid Systems | Artificial Intelligence and Image Processing | Computer-Human Interaction | Adaptive Agents and Intelligent Robotics | Medical Devices | Macromolecular and Materials Chemistry | Theory and Design of Materials | Computer Vision | Concurrent Programming | Condensed Matter Physics not elsewhere classified | Mobile Technologies | Developmental Psychology and Ageing | Computer Software not elsewhere classified | Theoretical and Computational Chemistry not elsewhere classified | Psychology | Microelectromechanical Systems (MEMS) | Health Information Systems (incl. Surveillance) |
Application Software Packages (excl. Computer Games) | Computer Software and Services not elsewhere classified | Expanding Knowledge in Technology | Application Tools and System Utilities | Expanding Knowledge in the Physical Sciences | Application tools and system utilities | Plant Production and Plant Primary Products not elsewhere classified | Management of Greenhouse Gas Emissions from Information and Communication Services | Expanding Knowledge in Psychology and Cognitive Sciences | Expanding Knowledge in the Medical and Health Sciences | Fisheries - Aquaculture not elsewhere classified | Electronic Information Storage and Retrieval Services | Behaviour and Health | Expanding Knowledge in the Chemical Sciences | Expanding Knowledge in Engineering | Expanding Knowledge in the Information and Computing Sciences | Integrated Circuits and Devices | Air Passenger Transport | Air Safety
Publisher: IEEE
Date: 11-2020
Publisher: Springer US
Date: 1998
Publisher: IEEE
Date: 2006
DOI: 10.1109/ASWEC.2006.7
Publisher: Elsevier BV
Date: 04-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2017
Publisher: Springer Science and Business Media LLC
Date: 16-07-2014
Publisher: IEEE
Date: 2006
DOI: 10.1109/ASE.2006.39
Publisher: Association for Computing Machinery (ACM)
Date: 16-06-2020
DOI: 10.1145/3391613
Abstract: UI design is an integral part of software development. For many developers who do not have much UI design experience, exposing them to a large database of real-application UI designs can help them quickly build up a realistic understanding of the design space for a software feature and get design inspirations from existing applications. However, existing keyword-based, image-similarity-based, and component-matching-based methods cannot reliably find relevant high-fidelity UI designs in a large database alike to the UI wireframe that the developers sketch, in face of the great variations in UI designs. In this article, we propose a deep-learning-based UI design search engine to fill in the gap. The key innovation of our search engine is to train a wireframe image autoencoder using a large database of real-application UI designs, without the need for labeling relevant UI designs. We implement our approach for Android UI design search, and conduct extensive experiments with artificially created relevant UI designs and human evaluation of UI design search results. Our experiments confirm the superior performance of our search engine over existing image-similarity or component-matching-based methods and demonstrate the usefulness of our search engine in real-world UI design tasks.
Publisher: IEEE
Date: 05-2019
Publisher: IEEE
Date: 12-2018
Publisher: IEEE Comput. Soc. Press
Publisher: ACM
Date: 18-08-2021
Publisher: IEEE
Date: 06-2012
Publisher: IEEE
Date: 05-2015
Publisher: IEEE Comput. Soc
Date: 1998
Publisher: IEEE Comput. Soc
Publisher: American Association for the Advancement of Science (AAAS)
Date: 27-09-2013
Abstract: The Mars Science Laboratory rover Curiosity scooped s les of soil from the Rocknest aeolian bedform in Gale crater. Analysis of the soil with the Chemistry and Mineralogy (CheMin) x-ray diffraction (XRD) instrument revealed plagioclase (~An57), forsteritic olivine (~Fo62), augite, and pigeonite, with minor K-feldspar, magnetite, quartz, anhydrite, hematite, and ilmenite. The minor phases are present at, or near, detection limits. The soil also contains 27 ± 14 weight percent x-ray amorphous material, likely containing multiple Fe 3+ - and volatile-bearing phases, including possibly a substance resembling hisingerite. The crystalline component is similar to the normative mineralogy of certain basaltic rocks from Gusev crater on Mars and of martian basaltic meteorites. The amorphous component is similar to that found on Earth in places such as soils on the Mauna Kea volcano, Hawaii.
Publisher: IEEE
Date: 06-2015
Publisher: American Association for the Advancement of Science (AAAS)
Date: 19-07-2013
Abstract: The S le Analysis at Mars (SAM) instrument on the Curiosity rover that landed on Mars in August last year is designed to study the chemical and isotopic composition of the martian atmosphere. Mahaffy et al. (p. 263 ) present volume-mixing ratios of Mars' five major atmospheric constituents (CO 2 , Ar, N 2 , O 2 , and CO) and isotope measurements of 40 Ar/ 36 Ar and C and O in CO 2 , based on data from one of SAM's instruments, obtained between 31 August and 21 November 2012. Webster et al. (p. 260 ) used data from another of SAM's instruments obtained around the same period to determine isotope ratios of H, C, and O in atmospheric CO 2 and H 2 O. Agreement between the isotopic ratios measured by SAM with those of martian meteorites, measured in laboratories on Earth, confirms the origin of these meteorites and implies that the current atmospheric reservoirs of CO 2 and H 2 O were largely established after the period of early atmospheric loss some 4 billion years ago.
Publisher: ACM
Date: 20-09-2010
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 06-2012
Publisher: Association for Computing Machinery (ACM)
Date: 29-07-2019
DOI: 10.1145/3324916
Abstract: Technical debt is a metaphor to reflect the tradeoff software engineers make between short-term benefits and long-term stability. Self-admitted technical debt (SATD), a variant of technical debt, has been proposed to identify debt that is intentionally introduced during software development, e.g., temporary fixes and workarounds. Previous studies have leveraged human-summarized patterns (which represent n-gram phrases that can be used to identify SATD) or text-mining techniques to detect SATD in source code comments. However, several characteristics of SATD features in code comments, such as vocabulary ersity, project uniqueness, length, and semantic variations, pose a big challenge to the accuracy of pattern or traditional text-mining-based SATD detection, especially for cross-project deployment. Furthermore, although traditional text-mining-based method outperforms pattern-based method in prediction accuracy, the text features it uses are less intuitive than human-summarized patterns, which makes the prediction results hard to explain. To improve the accuracy of SATD prediction, especially for cross-project prediction, we propose a Convolutional Neural Network-- (CNN) based approach for classifying code comments as SATD or non-SATD. To improve the explainability of our model’s prediction results, we exploit the computational structure of CNNs to identify key phrases and patterns in code comments that are most relevant to SATD. We have conducted an extensive set of experiments with 62,566 code comments from 10 open-source projects and a user study with 150 comments of another three projects. Our evaluation confirms the effectiveness of different aspects of our approach and its superior performance, generalizability, adaptability, and explainability over current state-of-the-art traditional text-mining-based methods for SATD classification.
Publisher: Association for Computing Machinery (ACM)
Date: 07-12-2022
DOI: 10.1145/3530813
Abstract: Many scientific and practical areas have shown increasing interest in reaping the benefits of blockchain technology to empower software systems. However, the unique characteristics and requirements associated with Blockchain-based Software (BBS) systems raise new challenges across the development lifecycle that entail an extensive improvement of conventional software engineering. This article presents a systematic literature review of the state-of-the-art in BBS engineering research from the perspective of the software engineering discipline. We characterize BBS engineering based on the key aspects of theoretical foundations, processes, models , and roles . Based on these aspects, we present a rich repertoire of development tasks, design principles, models, roles, challenges, and resolution techniques. The focus and depth of this survey not only give software engineering practitioners and researchers a consolidated body of knowledge about current BBS development but also underpin a starting point for further research in this field.
Publisher: IGI Global
Date: 2007
DOI: 10.4018/978-1-59904-219-0.CH002
Abstract: In this chapter we describe the Design pattern modeling language, a notation supporting the specification of Design pattern solutions and their instantiation into UML design models. DPML uses a simple set of visual abstractions and readily lends itself to tool support. DPML Design pattern solution specifications are used to construct visual, formal specifications of Design patterns. DPML instantiation diagrams are used to link a Design pattern solution specification to instances of a UML model, indicating the roles played by different UML elements in the generic Design pattern solution. A prototype tool is described, together with an evaluation of the language and tool.
Publisher: Copernicus GmbH
Date: 07-03-2016
Abstract: Abstract. In this paper we evaluate the impact on the cloud parameter retrievals of the ORAC (Optimal Retrieval of Aerosol and Cloud) algorithm following the inclusion of stereo-derived cloud top heights as a priori information. This is performed in a mathematically rigorous way using the ORAC optimal estimation retrieval framework, which includes the facility to use such independent a priori information. Key to the use of a priori information is a characterisation of their associated uncertainty. This paper demonstrates the improvements that are possible using this approach and also considers their impact on the microphysical cloud parameters retrieved. The Along-Track Scanning Radiometer (AATSR) instrument has two views and three thermal channels, so it is well placed to demonstrate the synergy of the two techniques. The stereo retrieval is able to improve the accuracy of the retrieved cloud top height when compared to collocated Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), particularly in the presence of boundary layer inversions and high clouds. The impact of the stereo a priori information on the microphysical cloud properties of cloud optical thickness (COT) and effective radius (RE) was evaluated and generally found to be very small for single-layer clouds conditions over open water (mean RE differences of 2.2 (±5.9) microns and mean COD differences of 0.5 (±1.8) for single-layer ice clouds over open water at elevations of above 9 km, which are most strongly affected by the inclusion of the a priori).
Publisher: IEEE
Date: 11-2015
Publisher: American Association for the Advancement of Science (AAAS)
Date: 27-09-2013
Abstract: S les from the Rocknest aeolian deposit were heated to ~835°C under helium flow and evolved gases analyzed by Curiosity’s S le Analysis at Mars instrument suite. H 2 O, SO 2 , CO 2 , and O 2 were the major gases released. Water abundance (1.5 to 3 weight percent) and release temperature suggest that H 2 O is bound within an amorphous component of the s le. Decomposition of fine-grained Fe or Mg carbonate is the likely source of much of the evolved CO 2 . Evolved O 2 is coincident with the release of Cl, suggesting that oxygen is produced from thermal decomposition of an oxychloride compound. Elevated δD values are consistent with recent atmospheric exchange. Carbon isotopes indicate multiple carbon sources in the fines. Several simple organic compounds were detected, but they are not definitively martian in origin.
Publisher: ACM
Date: 18-08-2021
Publisher: Science Publications
Date: 2019
Publisher: Elsevier BV
Date: 07-2020
Publisher: Elsevier BV
Date: 12-2019
Publisher: Springer Science and Business Media LLC
Date: 18-09-2013
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Springer Berlin Heidelberg
Date: 04-09-2013
Publisher: IEEE
Date: 02-2017
Publisher: IEEE Comput. Soc
Date: 1998
Publisher: Elsevier BV
Date: 06-2005
Publisher: Elsevier BV
Date: 11-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
Publisher: ACM
Date: 31-01-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
Publisher: ACM
Date: 20-09-2010
Publisher: MDPI AG
Date: 04-03-2020
DOI: 10.3390/RS12050833
Abstract: Surface albedo is a fundamental radiative parameter as it controls the Earth’s energy budget and directly affects the Earth’s climate. Satellite observations have long been used to capture the temporal and spatial variations of surface albedo because of their continuous global coverage. However, space-based albedo products are often affected by errors in the atmospheric correction, multi-angular bi-directional reflectance distribution function (BRDF) modelling, as well as spectral conversions. To validate space-based albedo products, an in situ tower albedometer is often used to provide continuous “ground truth” measurements of surface albedo over an extended area. Since space-based albedo and tower-measured albedo are produced at different spatial scales, they can be directly compared only for specific homogeneous land surfaces. However, most land surfaces are inherently heterogeneous with surface properties that vary over a wide range of spatial scales. In this work, tower-measured albedo products, including both directional hemispherical reflectance (DHR) and bi-hemispherical reflectance (BHR), are upscaled to coarse satellite spatial resolutions using a new method. This strategy uses high-resolution satellite derived surface albedos to fill the gaps between the albedometer’s field-of-view (FoV) and coarse satellite scales. The high-resolution surface albedo is generated from a combination of surface reflectance retrieved from high-resolution Earth Observation (HR-EO) data and moderate resolution imaging spectroradiometer (MODIS) BRDF climatology over a larger area. We implemented a recently developed atmospheric correction method, the Sensor Invariant Atmospheric Correction (SIAC), to retrieve surface reflectance from HR-EO (e.g., Sentinel-2 and Landsat-8) top-of-atmosphere (TOA) reflectance measurements. This SIAC processing provides an estimated uncertainty for the retrieved surface spectral reflectance at the HR-EO pixel level and shows excellent agreement with the standard Landsat 8 Surface Reflectance Code (LaSRC) in retrieving Landsat-8 surface reflectance. Atmospheric correction of Sentinel-2 data is vastly improved by SIAC when compared against the use of in situ AErosol RObotic NETwork (AERONET) data. Based on this, we can trace the uncertainty of tower-measured albedo during its propagation through high-resolution EO measurements up to coarse satellite scales. These upscaled albedo products can then be compared with space-based albedo products over heterogeneous land surfaces. In this study, both tower-measured albedo and upscaled albedo products are examined at Ground Based Observation for Validation (GbOV) stations (land.copernicus.eu/global/gbov/), and used to compare with satellite observations, including Copernicus Global Land Service (CGLS) based on ProbaV and VEGETATION 2 data, MODIS and multi-angle imaging spectroradiometer (MISR).
Publisher: Elsevier BV
Date: 03-2023
Publisher: Springer International Publishing
Date: 2019
Publisher: Wiley
Date: 15-01-2002
DOI: 10.1002/0471028959.SOF332
Abstract: The demand for computer software applications steadily increases as numbers of users, problem domains, and application areas grow the need for good tools to support the myriad of activities that occur during software development is thus greater than ever. This article provides an overview of current practice in software tool features and usage. It also surveys research work in the area of software tools, indicating recent and likely near‐future trends in tools development. A section outlines recent directions in software process evolution, product domains and people management. As different software tools are used throughout the software process for different activities, changes in processes, products and project organization have introduced a variety of new demands on tools and tool developers. A categorization of software tools aligned with software process activities is then presented, including ex les of tools in the various categories, along with a brief explanation of common terms used to describe software tools. We describe key elements of the structure of software tools, ranging from repository and data management to multiple‐view presentation and editing. We then focus on the key issue of tool integration, outlining current approaches to integration, current research trends, and likely near‐future integration support in software tools. We describe various strategies for supporting collaborative work with different software tools, facilitating improved teamwork with tools. We review and discuss current research, practice, and likely trends in automated support in software tools, alleviating developers of tedious tasks and helping manage ever‐growing software complexity. We conclude with a summary of some important factors in successful tool development and deployment.
Publisher: Springer Science and Business Media LLC
Date: 19-03-2019
Publisher: Springer Science and Business Media LLC
Date: 09-02-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2017
Publisher: IEEE Comput. Soc
Date: 2001
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2015
Publisher: Elsevier BV
Date: 05-2019
Publisher: Elsevier BV
Date: 06-2004
Publisher: ACM
Date: 05-11-2007
Publisher: IEEE
Date: 06-2012
Publisher: IEEE
Date: 09-2011
Publisher: IEEE
Date: 09-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
Publisher: Elsevier BV
Date: 12-2008
Publisher: ACM
Date: 21-05-2006
Publisher: Elsevier
Date: 2017
Publisher: ACM
Date: 31-01-2017
Publisher: Association for Computational Linguistics
Date: 2016
DOI: 10.18653/V1/K16-1016
Publisher: ACM
Date: 05-11-2007
Publisher: Elsevier BV
Date: 12-2020
Publisher: IEEE
Date: 07-2018
Publisher: Informa UK Limited
Date: 20-07-2023
Publisher: IGI Global
Publisher: ACM Press
Date: 2005
Publisher: IEEE
Date: 06-2016
Publisher: Elsevier BV
Date: 10-2011
Publisher: ACM
Date: 16-09-2010
Publisher: Elsevier BV
Date: 12-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1998
DOI: 10.1109/32.730545
Publisher: ACM
Date: 27-06-2020
Publisher: IEEE
Date: 05-2015
Publisher: ACM Press
Date: 2002
Publisher: ACM
Date: 05-2010
Publisher: Springer International Publishing
Date: 2019
Publisher: IEEE
Date: 10-2009
Publisher: World Scientific Pub Co Pte Lt
Date: 04-2003
DOI: 10.1142/S0218194003001238
Abstract: A good software architecture design is crucial in successfully realising an object-oriented analysis (OOA) specification with an object-oriented design (OOD) model that meets the specification's functional and non-functional requirements. Most CASE tools and software architecture design notations do not adequately support software architecture modelling and analysis, integration with OOA and OOD methods and tools, and high-level, dynamic architectural visualisations of running systems. We describe SoftArch, an environment that provides flexible software architecture modelling using a concept of successive refinement and an extensible architecture meta-model. SoftArch provides extensible analysis tools enabling developers to analyse their architecture model properties. Run-time visualisation of systems uses dynamic annotation and animation of high-level architectural modelling views. SoftArch is integrated with a component-based CASE tool and run-time monitoring tool, and has facilities for 3rd party tool integration through a common exchange format. This paper discusses the motivation for SoftArch, its modelling, analysis and dynamic visualisation capabilities, and its integration with various analysis, design and implementation tools.
Publisher: ACM
Date: 21-05-2011
Publisher: ACM
Date: 08-11-2020
Publisher: IEEE
Date: 07-2019
Publisher: IEEE
Date: 05-2020
Publisher: IEEE
Date: 09-2012
Publisher: IEEE
Date: 07-2015
Publisher: Springer International Publishing
Date: 2020
Publisher: Springer International Publishing
Date: 2020
Publisher: IEEE Comput. Soc
Date: 2001
Publisher: IEEE
Date: 09-2013
Publisher: IEEE
Date: 09-2013
Publisher: American Association for the Advancement of Science (AAAS)
Date: 24-01-2014
Abstract: H 2 O, CO 2 , SO 2 , O 2 , H 2 , H 2 S, HCl, chlorinated hydrocarbons, NO, and other trace gases were evolved during pyrolysis of two mudstone s les acquired by the Curiosity rover at Yellowknife Bay within Gale crater, Mars. H 2 O/OH-bearing phases included 2:1 phyllosilicate(s), bassanite, akaganeite, and amorphous materials. Thermal decomposition of carbonates and combustion of organic materials are candidate sources for the CO 2 . Concurrent evolution of O 2 and chlorinated hydrocarbons suggests the presence of oxychlorine phase(s). Sulfides are likely sources for sulfur-bearing species. Higher abundances of chlorinated hydrocarbons in the mudstone compared with Rocknest windblown materials previously analyzed by Curiosity suggest that indigenous martian or meteoritic organic carbon sources may be preserved in the mudstone however, the carbon source for the chlorinated hydrocarbons is not definitively of martian origin.
Publisher: Elsevier BV
Date: 06-2018
Publisher: IEEE
Date: 10-2017
Publisher: Elsevier BV
Date: 12-2021
Publisher: Elsevier
Date: 2013
Publisher: Springer Science and Business Media LLC
Date: 07-2006
Publisher: IEEE
Date: 2004
Publisher: IEEE
Date: 09-2007
Publisher: Wiley
Date: 28-11-2003
Publisher: IEEE
Date: 05-2015
Publisher: ACM
Date: 30-08-2015
Publisher: Wiley
Date: 2002
DOI: 10.1002/SPE.472
Publisher: ACM
Date: 27-05-2006
Publisher: ACM
Date: 17-06-2013
Publisher: Informa UK Limited
Date: 03-2012
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: IGI Global
Date: 2010
Abstract: Micro-payment systems are an important part of peer-to-peer (P2P) networks and address the “free-rider” problem in most existing content sharing systems. To address this issue, the authors have developed a new micro-payment system for content sharing in P2P networks called P2P-Netpay. This is an offline, debit based protocol that provides a secure, flexible, usable and reliable credit service. This article compares micro-payment with non-micro-payment credit systems for file sharing applications and finds that this approach liberates the “free-rider” problem. The authors analyse the heuristic evaluation performed by a set of evaluators and present directions for research aiming to improve the overall satisfaction and efficiency of the proposed model.
Publisher: IEEE
Date: 2004
Publisher: IEEE
Date: 2009
Publisher: ACM
Date: 21-04-2013
Publisher: ACM
Date: 14-05-2016
Publisher: Springer International Publishing
Date: 2021
Publisher: SAGE Publications
Date: 20-01-2019
Abstract: Enterotoxemia caused by Clostridium perfringens type D is an important disease of sheep and goats with a worldwide distribution. Cerebral microangiopathy is considered pathognomonic for ovine enterotoxemia and is seen in most cases of the disorder in sheep. However, these lesions are poorly described in goats. In this article, we describe the vasculocentric brain lesions in 44 cases of caprine spontaneous C. perfringens type D enterotoxemia. Only 1 goat had gross changes in the brain, which consisted of mild cerebellar coning. However, 8 of 44 (18%) cases showed microscopic brain lesions, characterized by intramural vascular proteinaceous edema, a novel and diagnostically significant finding. The precise location of the edema was better observed with periodic acid–Schiff, Gomori’s, and albumin stains. Glial fibrillary acidic protein and aquaporin 4 immunostaining revealed strong immunolabeling of astrocyte foot processes surrounding microvessels. The areas of the brain most frequently affected were the cerebral cortex, corpus striatum (basal ganglia), and cerebellar peduncles, and both arterioles and venules were involved. Most of the goats of this study showed lesions in the intestine (enteritis, colitis, and typhlitis), although pulmonary congestion and edema, hydrothorax, hydropericardium, and ascites were also described. Although the intramural edema described, for the first time, in these caprine cases is useful for the diagnosis of enterotoxemia when observed, its absence cannot exclude the disease.
Publisher: ACM
Date: 30-04-2023
Publisher: Elsevier BV
Date: 08-2007
Publisher: IEEE
Date: 09-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: ACM
Date: 03-01-2019
Publisher: Elsevier BV
Date: 06-2020
Publisher: Elsevier BV
Date: 06-2020
Publisher: Hindawi Limited
Date: 31-08-2022
DOI: 10.1111/JONM.13439
Publisher: IEEE
Date: 09-2007
Publisher: IEEE
Date: 09-2015
Publisher: IEEE Comput. Soc
Publisher: IEEE
Date: 11-2011
Publisher: IEEE
Date: 2004
Publisher: Elsevier BV
Date: 10-1995
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 05-2007
DOI: 10.1109/ICSE.2007.81
Publisher: Elsevier BV
Date: 05-2016
Publisher: Informa UK Limited
Date: 23-03-2017
Publisher: IEEE
Date: 04-2014
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Springer International Publishing
Date: 2017
Publisher: ACM
Date: 21-05-2011
Publisher: IEEE
Date: 2007
Publisher: Elsevier BV
Date: 06-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
Publisher: ACM
Date: 05-01-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2022
Publisher: JMIR Publications Inc.
Date: 16-05-2021
Abstract: here has been a steady rise in the availability of health wearables and built-in smartphone sensors that can be used to collect health data reliably and conveniently from end users. Given the feature overlaps and user tendency to use several apps, these are important factors impacting user experience. However, there is limited work on analyzing the data collection aspect of mobile health (mHealth) apps. his study aims to analyze what data mHealth apps across different categories usually collect from end users and how these data are collected. This information is important to guide the development of a common data model from current widely adopted apps. This will also inform what built-in sensors and wearables, a comprehensive mHealth platform should support. n our empirical investigation of mHealth apps, we identified app categories listed in a curated mHealth app library, which was then used to explore the Google Play Store for health and medical apps that were then filtered using our selection criteria. We downloaded these apps from a mirror site hosting Android apps and analyzed them using a script that we developed around the popular AndroGuard tool. We analyzed the use of Bluetooth peripherals and built-in sensors to understand how a given app collects health data. e retrieved 3251 apps meeting our criteria, and our analysis showed that 10.74% (349/3251) of these apps requested Bluetooth access. We found that 50.9% (259/509) of the Bluetooth service universally unique identifiers to be known in these apps, with the remainder being vendor specific. The most common health-related Bluetooth Low Energy services using known universally unique identifiers were Heart Rate, Glucose, and Body Composition. App permissions showed the most used device module or sensor to be the camera (669/3251, 20.57%), closely followed by location (598/3251, 18.39%), with the highest occurrence in the i staying healthy /i app category. e found that not many health apps used built-in sensors or peripherals for collecting health data. The small number of the apps using Bluetooth, with an even smaller number of apps using standard Bluetooth Low Energy services, indicates a wider use of proprietary algorithms and custom services, which restrict the device use. The use of standard profiles could open this ecosystem further and could provide end users more options for apps. The relatively small proportion of apps using built-in sensors along with a high reliance on manual data entry suggests the need for more research into using sensors for data collection in health and fitness apps, which may be more desirable and improve end user experience.
Publisher: Elsevier BV
Date: 05-2014
Publisher: ACM
Date: 08-11-2020
Publisher: IEEE
Date: 09-2009
Publisher: Springer Science and Business Media LLC
Date: 2003
Publisher: Springer US
Date: 1997
Publisher: IEEE
Date: 05-2017
Publisher: Elsevier
Date: 2017
Publisher: Springer Science and Business Media LLC
Date: 29-02-2016
Publisher: IEEE
Date: 09-2008
DOI: 10.1109/ASE.2008.79
Publisher: IEEE Comput. Soc
Date: 2001
Publisher: IEEE
Date: 09-2008
DOI: 10.1109/ASE.2008.75
Publisher: IEEE
Date: 2006
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2022
Publisher: Springer Science and Business Media LLC
Date: 08-12-2012
Publisher: IEEE
Date: 09-2019
Publisher: World Scientific Pub Co Pte Lt
Date: 03-2015
DOI: 10.1142/S0218194015400100
Abstract: Visual notations are a key aspect of visual languages. They provide a direct mapping between the intended information and set of graphical symbols. Visual notations are most often implemented using the low level syntax of programming languages which is time consuming, error prone, difficult to maintain and hardly human-centric. In this paper we describe an alternative approach to generating visual notations using by-ex le model transformations. In our new approach, a semantic mapping between model and view is implemented using model transformations. The notations resulting from this approach can be reused by mapping varieties of input data to their model and can be composed into different visualizations. Our approach is implemented in the CONVErT framework and has been applied to many visualization ex les. Three case studies for visualizing statistical charts, visualization of traffic data, and reuse of a Minard's map visualization's components, are presented in this paper. A detailed user study of our approach for reusing notations and generating visualizations has been provided. 80% of the participants in this user study agreed that the novel approach to visualization was easy and 87% stated that they quickly learned to use the tool support.
Publisher: Association for Computing Machinery (ACM)
Date: 09-2004
Abstract: This report gives an overview of the Workshop on Directions in Software Engineering Environments WoDiSEE 2004) held at the 26th International Conference on Software Engineering (ICSE 2004). The goal of this workshop was to bring together researchers and practitioners with an interest in developing, extending, deploying and using software engineering tools. The workshop provided an interactive forum for the exchange of ideas and discussion about current research and future trends in software engineering environment research and development. The workshop proceedings contain fourteen short papers, giving a snapshot of current research in this area, which provided the framework for presentations at the workshop. This report summarises the presentations given at the workshop and the discussions that took place.
Publisher: Springer Berlin Heidelberg
Date: 2007
Publisher: IEEE Comput. Soc
Date: 1998
Publisher: Association for Computing Machinery (ACM)
Date: 17-04-2020
DOI: 10.1145/3379499
Abstract: Supervisory Control and Data Acquisition (SCADA) systems play an important role in monitoring industrial processes such as electric power distribution, transport systems, water distribution, and wastewater collection systems. Such systems require a particular attention with regards to security aspects, as they deal with critical infrastructures that are crucial to organizations and countries. Protecting SCADA systems from intrusion is a very challenging task because they do not only inherit traditional IT security threats but they also include additional vulnerabilities related to field components (e.g., cyber-physical attacks). Many of the existing intrusion detection techniques rely on supervised learning that consists of algorithms that are first trained with reference inputs to learn specific information, and then tested on unseen inputs for classification purposes. This article surveys supervised learning from a specific security angle, namely SCADA-based intrusion detection. Based on a systematic review process, existing literature is categorized and evaluated according to SCADA-specific requirements. Additionally, this survey reports on well-known SCADA datasets and testbeds used with machine learning methods. Finally, we present key challenges and our recommendations for using specific supervised methods for SCADA systems.
Publisher: ACM
Date: 03-09-2012
Publisher: SCITEPRESS - Science and Technology Publications
Date: 2017
Publisher: IEEE
Date: 06-2012
Publisher: Springer Berlin Heidelberg
Date: 20-12-2014
Publisher: Springer Science and Business Media LLC
Date: 02-07-2018
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Association for Computing Machinery (ACM)
Date: 09-04-2022
DOI: 10.1145/3503509
Abstract: Predictive models are one of the most important techniques that are widely applied in many areas of software engineering. There have been a large number of primary studies that apply predictive models and that present well-performed studies in various research domains, including software requirements, software design and development, testing and debugging, and software maintenance. This article is a first attempt to systematically organize knowledge in this area by surveying a body of 421 papers on predictive models published between 2009 and 2020. We describe the key models and approaches used, classify the different models, summarize the range of key application areas, and analyze research results. Based on our findings, we also propose a set of current challenges that still need to be addressed in future work and provide a proposed research road map for these opportunities.
Publisher: IEEE
Date: 08-2020
Publisher: IEEE
Date: 09-2020
Publisher: Springer Berlin Heidelberg
Date: 2004
Publisher: IEEE Comput. Soc
Date: 2002
Publisher: Elsevier BV
Date: 04-2022
Publisher: American Association for the Advancement of Science (AAAS)
Date: 24-01-2014
Abstract: Sedimentary rocks at Yellowknife Bay (Gale crater) on Mars include mudstone s led by the Curiosity rover. The s les, John Klein and Cumberland, contain detrital basaltic minerals, calcium sulfates, iron oxide or hydroxides, iron sulfides, amorphous material, and trioctahedral smectites. The John Klein smectite has basal spacing of ~10 angstroms, indicating little interlayer hydration. The Cumberland smectite has basal spacing at both ~13.2 and ~10 angstroms. The larger spacing suggests a partially chloritized interlayer or interlayer magnesium or calcium facilitating H 2 O retention. Basaltic minerals in the mudstone are similar to those in nearby eolian deposits. However, the mudstone has far less Fe-forsterite, possibly lost with formation of smectite plus magnetite. Late Noachian/Early Hesperian or younger age indicates that clay mineral formation on Mars extended beyond Noachian time.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Springer Science and Business Media LLC
Date: 23-04-2013
Publisher: Elsevier BV
Date: 08-2014
Publisher: ACM
Date: 16-11-2014
Publisher: IEEE
Date: 09-2010
DOI: 10.1109/RE.2010.54
Publisher: IEEE
Date: 05-2011
Publisher: IEEE
Date: 2005
Publisher: IEEE
Publisher: IEEE
Date: 06-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2018
Publisher: ACM
Date: 27-06-2020
Publisher: IEEE
Date: 2005
Publisher: IEEE
Publisher: ACM
Date: 05-01-2020
Publisher: Elsevier BV
Date: 07-2025
Publisher: IEEE
Date: 2005
DOI: 10.1109/ECOWS.2005.7
Publisher: ACM
Date: 03-09-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-1998
DOI: 10.1109/4236.722231
Publisher: IEEE
Date: 05-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Springer Science and Business Media LLC
Date: 28-05-2014
Publisher: ACM
Date: 08-11-2020
Publisher: Oxford University Press (OUP)
Date: 04-2002
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
Publisher: IEEE
Date: 05-2015
Publisher: ACM
Date: 21-09-2020
Publisher: ACM
Date: 18-08-2021
Publisher: IEEE
Date: 07-2019
Publisher: IEEE Comput. Soc
Date: 2002
Publisher: ACM
Date: 03-09-2012
Publisher: Springer London
Date: 2010
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Association for Computing Machinery (ACM)
Date: 22-07-2023
DOI: 10.1145/3546943
Abstract: Requirements Engineering (RE)-related activities require high collaboration between various roles in software engineering (SE), such as requirements engineers, stakeholders, developers, and so on. Their demographics, views, understanding of technologies, working styles, communication and collaboration capabilities make RE highly human-dependent. Identifying how “human aspects” —such as motivation, domain knowledge, communication skills, personality, emotions, culture, and so on—might impact RE-related activities would help us improve RE and SE in general. This study aims at better understanding current industry perspectives on the influence of human aspects on RE-related activities, specifically focusing on motivation and personality, by targeting software practitioners involved in RE-related activities. Our findings indicate that software practitioners consider motivation, domain knowledge, attitude, communication skills and personality as highly important human aspects when involved in RE-related activities. A set of factors were identified as software practitioners’ key motivational factors when involved in RE-related activities, along with important personality characteristics to have when involved in RE. We also identified factors that made in iduals less effective when involved in RE-related activities and obtained some feedback on measuring in iduals’ performance when involved in RE. The findings from our study suggest various areas needing more investigation, and we summarise a set of key recommendations for further research.
Publisher: ACM
Date: 18-08-2021
Publisher: Wiley
Date: 2007
DOI: 10.1002/SPE.803
Publisher: IEEE
Date: 07-2011
DOI: 10.1109/CLOUD.2011.9
Publisher: IEEE
Date: 05-2019
Publisher: Elsevier BV
Date: 04-2019
Publisher: Elsevier BV
Date: 03-2018
Publisher: Springer Berlin Heidelberg
Date: 2004
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2022
Publisher: Springer US
Date: 1999
Publisher: American Association for the Advancement of Science (AAAS)
Date: 27-09-2013
Abstract: “Jake_M,” the first rock analyzed by the Alpha Particle X-ray Spectrometer instrument on the Curiosity rover, differs substantially in chemical composition from other known martian igneous rocks: It is alkaline ( % normative nepheline) and relatively fractionated. Jake_M is compositionally similar to terrestrial mugearites, a rock type typically found at ocean islands and continental rifts. By analogy with these comparable terrestrial rocks, Jake_M could have been produced by extensive fractional crystallization of a primary alkaline or transitional magma at elevated pressure, with or without elevated water contents. The discovery of Jake_M suggests that alkaline magmas may be more abundant on Mars than on Earth and that Curiosity could encounter even more fractionated alkaline rocks (for ex le, phonolites and trachytes).
Publisher: Springer Science and Business Media LLC
Date: 1998
Publisher: ACM
Date: 27-06-2020
Publisher: Wiley
Date: 20-12-2021
DOI: 10.1002/NUR.22096
Publisher: IEEE
Date: 09-2016
Publisher: IEEE
Date: 12-2007
Publisher: IEEE
Date: 07-2010
Publisher: IEEE
Date: 05-2015
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: IEEE
Date: 12-2006
Publisher: Springer International Publishing
Date: 2022
Publisher: IOS Press
Date: 08-09-2023
DOI: 10.3233/FAIA230222
Publisher: IEEE Comput. Soc
Publisher: ACM
Date: 03-09-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2014
DOI: 10.1109/MC.2014.208
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2023
Publisher: IEEE
Date: 10-2020
Publisher: Elsevier BV
Date: 2000
Publisher: Springer Berlin Heidelberg
Date: 1995
DOI: 10.1007/BFB0020543
Publisher: IEEE
Date: 09-2012
Publisher: IEEE Comput. Soc. Press
Publisher: IEEE
Date: 03-2016
Publisher: IEEE
Date: 2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2022
Publisher: Springer Science and Business Media LLC
Date: 2005
Publisher: ACM
Date: 21-09-2020
Publisher: IEEE
Date: 09-2008
Publisher: Frontiers Media SA
Date: 10-01-2020
Publisher: IEEE
Date: 08-2020
Publisher: ACM
Date: 07-11-2005
Publisher: IEEE
Date: 11-2011
Publisher: IEEE
Date: 05-2015
DOI: 10.1109/CHASE.2015.7
Publisher: IEEE
Date: 09-2009
Publisher: Springer Science and Business Media LLC
Date: 09-06-2015
Publisher: Elsevier BV
Date: 03-2007
Publisher: IEEE
Date: 11-2015
Publisher: IEEE
Date: 12-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Publisher: ACM
Date: 22-03-2014
Publisher: IEEE
Date: 2009
Publisher: IEEE
Date: 2009
Publisher: Association for Computing Machinery (ACM)
Date: 24-06-2024
DOI: 10.1145/3604607
Publisher: IEEE
Date: 10-2015
Publisher: American Association for the Advancement of Science (AAAS)
Date: 24-01-2014
Abstract: Sedimentary rocks examined by the Curiosity rover at Yellowknife Bay, Mars, were derived from sources that evolved from an approximately average martian crustal composition to one influenced by alkaline basalts. No evidence of chemical weathering is preserved, indicating arid, possibly cold, paleoclimates and rapid erosion and deposition. The absence of predicted geochemical variations indicates that magnetite and phyllosilicates formed by diagenesis under low-temperature, circumneutral pH, rock-dominated aqueous conditions. Analyses of diagenetic features (including concretions, raised ridges, and fractures) at high spatial resolution indicate that they are composed of iron- and halogen-rich components, magnesium-iron-chlorine–rich components, and hydrated calcium sulfates, respectively. Composition of a cross-cutting dike-like feature is consistent with sedimentary intrusion. The geochemistry of these sedimentary rocks provides further evidence for erse depositional and diagenetic sedimentary environments during the early history of Mars.
Publisher: Springer Nature Switzerland
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2012
DOI: 10.1109/MS.2012.31
Publisher: ACM
Date: 03-09-2012
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 06-2013
Publisher: Springer International Publishing
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
Publisher: Association for Computing Machinery (ACM)
Date: 26-09-2020
DOI: 10.1145/3401026
Abstract: Stack Overflow has been heavily used by software developers as a popular way to seek programming-related information from peers via the internet. The Stack Overflow community recommends users to provide the related code snippet when they are creating a question to help others better understand it and offer their help. Previous studies have shown that a significant number of these questions are of low-quality and not attractive to other potential experts in Stack Overflow. These poorly asked questions are less likely to receive useful answers and hinder the overall knowledge generation and sharing process. Considering one of the reasons for introducing low-quality questions in SO is that many developers may not be able to clarify and summarize the key problems behind their presented code snippets due to their lack of knowledge and terminology related to the problem, and/or their poor writing skills, in this study we propose an approach to assist developers in writing high-quality questions by automatically generating question titles for a code snippet using a deep sequence-to-sequence learning approach. Our approach is fully data-driven and uses an attention mechanism to perform better content selection, a copy mechanism to handle the rare-words problem and a coverage mechanism to eliminate word repetition problem. We evaluate our approach on Stack Overflow datasets over a variety of programming languages (e.g., Python, Java, Javascript, C# and SQL) and our experimental results show that our approach significantly outperforms several state-of-the-art baselines in both automatic and human evaluation. We have released our code and datasets to facilitate other researchers to verify their ideas and inspire the follow up work.
Publisher: Springer Berlin Heidelberg
Date: 2014
Publisher: IEEE Comput. Soc. Press
Publisher: IEEE
Date: 05-2019
Publisher: IEEE
Date: 2017
Publisher: ACM
Date: 05-08-2014
Publisher: ACM
Date: 07-11-2005
Publisher: IEEE
Date: 06-2012
Publisher: ACM Press
Date: 1996
Publisher: Elsevier BV
Date: 07-2016
Publisher: IGI Global
Date: 04-1998
Publisher: JMIR Publications Inc.
Date: 09-03-2022
DOI: 10.2196/30468
Abstract: There has been a steady rise in the availability of health wearables and built-in smartphone sensors that can be used to collect health data reliably and conveniently from end users. Given the feature overlaps and user tendency to use several apps, these are important factors impacting user experience. However, there is limited work on analyzing the data collection aspect of mobile health (mHealth) apps. This study aims to analyze what data mHealth apps across different categories usually collect from end users and how these data are collected. This information is important to guide the development of a common data model from current widely adopted apps. This will also inform what built-in sensors and wearables, a comprehensive mHealth platform should support. In our empirical investigation of mHealth apps, we identified app categories listed in a curated mHealth app library, which was then used to explore the Google Play Store for health and medical apps that were then filtered using our selection criteria. We downloaded these apps from a mirror site hosting Android apps and analyzed them using a script that we developed around the popular AndroGuard tool. We analyzed the use of Bluetooth peripherals and built-in sensors to understand how a given app collects health data. We retrieved 3251 apps meeting our criteria, and our analysis showed that 10.74% (349/3251) of these apps requested Bluetooth access. We found that 50.9% (259/509) of the Bluetooth service universally unique identifiers to be known in these apps, with the remainder being vendor specific. The most common health-related Bluetooth Low Energy services using known universally unique identifiers were Heart Rate, Glucose, and Body Composition. App permissions showed the most used device module or sensor to be the camera (669/3251, 20.57%), closely followed by location (598/3251, 18.39%), with the highest occurrence in the staying healthy app category. We found that not many health apps used built-in sensors or peripherals for collecting health data. The small number of the apps using Bluetooth, with an even smaller number of apps using standard Bluetooth Low Energy services, indicates a wider use of proprietary algorithms and custom services, which restrict the device use. The use of standard profiles could open this ecosystem further and could provide end users more options for apps. The relatively small proportion of apps using built-in sensors along with a high reliance on manual data entry suggests the need for more research into using sensors for data collection in health and fitness apps, which may be more desirable and improve end user experience.
Publisher: IEEE Comput. Soc. Press
Date: 1996
Publisher: ACM
Date: 27-05-2018
Publisher: IEEE
Date: 07-2014
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: IEEE
Date: 09-2016
Publisher: IEEE Comput. Soc
Date: 2000
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2022
Publisher: Springer US
Date: 1996
Publisher: Elsevier BV
Date: 05-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2021
Publisher: IEEE
Date: 07-2014
Publisher: IEEE Comput. Soc
Date: 2003
Publisher: Elsevier BV
Date: 02-2015
Publisher: IEEE
Date: 04-2014
Publisher: ACM
Date: 28-09-2015
Publisher: Springer International Publishing
Date: 2021
Publisher: IEEE
Date: 08-2020
Publisher: Elsevier BV
Date: 06-2015
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: IEEE
Date: 08-2012
Publisher: ACM
Date: 21-05-2011
Publisher: American Association for the Advancement of Science (AAAS)
Date: 18-10-2013
Abstract: On Earth, atmospheric methane is mostly produced biologically. Atmospheric methane has also been detected on Mars, but these reports have been controversial. Based on data from the S le Analysis at Mars instrument suite on the Curiosity rover, which arrived at the surface of Mars in August 2012, Webster et al. (p. 355 , published online 19 September) report no methane, with an upper limit of only 1.3 parts per billion by volume, about 6 times lower than previous measurements.
Publisher: World Scientific Pub Co Pte Lt
Date: 12-2000
DOI: 10.1142/S0218194000000341
Abstract: Current approaches to component-based systems engineering tend to focus on low-level software component interface design and implementation. This often leads to the development of components whose services are hard to understand and combine, make too many assumptions about other components they can be composed with and component documentation that is too low-level. Aspect-oriented component engineering is a new methodology that uses a concept of different system capabilities ("aspects") to categorise and reason about inter-component provided and required services. It supports the identification, description and reasoning about high-level component functional and non-functional requirements grouped by different systemic aspects, and the refinement of these requirements into design-level software component service implementation aspects. Aspect information is used to help implement better component interfaces and to encode knowledge of a component's capabilities for other components, developers and end users to access. We describe and illustrate the use of aspect-oriented component engineering techniques and notations to specify, design and implement software components, report on some basic tool support, and our experiences using the approach to build some complex, component-based software systems.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2023
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: Elsevier BV
Date: 12-2023
Publisher: IEEE
Date: 2001
Publisher: Springer International Publishing
Date: 2019
Publisher: Springer Berlin Heidelberg
Date: 2014
Publisher: IEEE
Date: 09-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2011
DOI: 10.1109/TSE.2010.59
Publisher: IEEE
Date: 08-2013
Publisher: American Association for the Advancement of Science (AAAS)
Date: 27-09-2013
Abstract: The Rocknest aeolian deposit is similar to aeolian features analyzed by the Mars Exploration Rovers (MERs) Spirit and Opportunity. The fraction of sand micrometers in size contains ~55% crystalline material consistent with a basaltic heritage and ~45% x-ray amorphous material. The amorphous component of Rocknest is iron-rich and silicon-poor and is the host of the volatiles (water, oxygen, sulfur dioxide, carbon dioxide, and chlorine) detected by the S le Analysis at Mars instrument and of the fine-grained nanophase oxide component first described from basaltic soils analyzed by MERs. The similarity between soils and aeolian materials analyzed at Gusev Crater, Meridiani Planum, and Gale Crater implies locally sourced, globally similar basaltic materials or globally and regionally sourced basaltic components deposited locally at all three locations.
Publisher: ACM
Date: 25-08-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: ACM
Date: 31-01-2017
Publisher: Elsevier BV
Date: 08-2023
Publisher: IEEE
Date: 11-2013
Publisher: Elsevier
Date: 2014
Publisher: ACM
Date: 11-2016
Publisher: ACM
Date: 25-08-2016
Publisher: Springer Science and Business Media LLC
Date: 16-03-2018
Publisher: IEEE
Date: 09-2011
DOI: 10.1109/ESEM.2011.48
Publisher: IEEE Comput. Soc. Press
Date: 1995
Publisher: ACM
Date: 02-08-2007
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: IEEE
Date: 2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2018
Publisher: Springer International Publishing
Date: 2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Publisher: ACM
Date: 22-05-2017
Publisher: Springer Berlin Heidelberg
Date: 2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2022
Publisher: IEEE
Date: 09-2008
Publisher: Springer International Publishing
Date: 2018
Publisher: Springer Science and Business Media LLC
Date: 26-04-2013
Publisher: IEEE
Date: 06-2010
Publisher: Insight Society
Date: 19-02-2020
Publisher: Springer London
Date: 2001
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
Publisher: Springer Science and Business Media LLC
Date: 19-07-2023
DOI: 10.1007/S43681-022-00195-Z
Abstract: Artificial intelligence (AI) offers much promise for improving healthcare. However, it runs the looming risk of causing in idual and societal harms for instance, exacerbating inequalities amongst minority groups, or enabling compromises in the confidentiality of patients’ sensitive data. As such, there is an expanding, unmet need for ensuring AI for healthcare is developed in concordance with human values and ethics. Augmenting “principle-based” guidance that highlight adherence to ethical ideals (without necessarily offering translation into actionable practices), we offer a solution-based framework for operationalising ethics in AI for healthcare. Our framework is built from a scoping review of existing solutions of ethical AI guidelines, frameworks and technical solutions to address human values such as self-direction in healthcare. Our view spans the entire length of the AI lifecycle: data management, model development, deployment and monitoring. Our focus in this paper is to collate actionable solutions (whether technical or non-technical in nature), which can be steps that enable and empower developers in their daily practice to ensuring ethical practices in the broader picture. Our framework is intended to be adopted by AI developers, with recommendations that are accessible and driven by the existing literature. We endorse the recognised need for ‘ethical AI checklists’ co-designed with health AI practitioners, which could further operationalise the technical solutions we have collated. Since the risks to health and wellbeing are so large, we believe a proactive approach is necessary for ensuring human values and ethics are appropriately respected in AI for healthcare.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2021
Publisher: IEEE Comput. Soc
Date: 2000
Publisher: IEEE
Date: 05-2013
Publisher: Association for Computing Machinery (ACM)
Date: 31-01-2022
DOI: 10.1145/3505243
Abstract: In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)” and an improved model training method to break the bottleneck of neural network development. More recently, the introduction of AlphaGo in 2016 demonstrated the powerful learning ability of deep learning and its enormous potential. Deep learning has been increasingly used to develop state-of-the-art software engineering (SE) research tools due to its ability to boost performance for various SE tasks. There are many factors, e.g., deep learning model selection, internal structure differences, and model optimization techniques, that may have an impact on the performance of DNNs applied in SE. Few works to date focus on summarizing, classifying, and analyzing the application of deep learning techniques in SE. To fill this gap, we performed a survey to analyze the relevant studies published since 2006. We first provide an ex le to illustrate how deep learning techniques are used in SE. We then conduct a background analysis (BA) of primary studies and present four research questions to describe the trend of DNNs used in SE (BA), summarize and classify different deep learning techniques (RQ1), and analyze the data processing including data collection, data classification, data pre-processing, and data representation (RQ2). In RQ3, we depicted a range of key research topics using DNNs and investigated the relationships between DL-based model adoption and multiple factors (i.e., DL architectures, task types, problem types, and data types). We also summarized commonly used datasets for different SE tasks. In RQ4, we summarized the widely used optimization algorithms and provided important evaluation metrics for different problem types, including regression, classification, recommendation, and generation. Based on our findings, we present a set of current challenges remaining to be investigated and outline a proposed research road map highlighting key opportunities for future work.
Publisher: IEEE Comput. Soc
Date: 2000
Publisher: ACM
Date: 16-10-2020
Publisher: IEEE
Date: 08-2014
Publisher: Elsevier
Date: 2016
Publisher: ACM
Date: 05-2010
Publisher: Springer Berlin Heidelberg
Date: 2005
DOI: 10.1007/11604655_34
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2013
DOI: 10.1109/TSE.2012.33
Publisher: IEEE
Date: 12-2019
Publisher: Springer Science and Business Media LLC
Date: 11-07-2018
Publisher: IEEE
Date: 05-2013
Publisher: ACM
Date: 06-2016
Publisher: American Association for the Advancement of Science (AAAS)
Date: 24-01-2014
Abstract: We determined radiogenic and cosmogenic noble gases in a mudstone on the floor of Gale Crater. A K-Ar age of 4.21 ± 0.35 billion years represents a mixture of detrital and authigenic components and confirms the expected antiquity of rocks comprising the crater rim. Cosmic-ray–produced 3 He, 21 Ne, and 36 Ar yield concordant surface exposure ages of 78 ± 30 million years. Surface exposure occurred mainly in the present geomorphic setting rather than during primary erosion and transport. Our observations are consistent with mudstone deposition shortly after the Gale impact or possibly in a later event of rapid erosion and deposition. The mudstone remained buried until recent exposure by wind-driven scarp retreat. Sedimentary rocks exposed by this mechanism may thus offer the best potential for organic biomarker preservation against destruction by cosmic radiation.
Publisher: Wiley
Date: 25-07-2008
DOI: 10.1002/SPE.856
Publisher: IEEE
Date: 09-2012
Publisher: Elsevier BV
Date: 12-2016
Publisher: Springer International Publishing
Date: 2022
Publisher: IEEE
Date: 06-2011
Publisher: IEEE
Date: 2006
DOI: 10.1109/CSMR.2006.43
Publisher: IEEE Comput. Soc
Date: 1998
Publisher: IEEE
Date: 06-2011
Publisher: Springer Singapore
Date: 2016
Publisher: Elsevier BV
Date: 02-2021
Publisher: Informa UK Limited
Date: 2013
Publisher: IEEE
Date: 09-2010
Publisher: IEEE Comput. Soc
Date: 2000
Publisher: IEEE Comput. Soc. Press
Date: 1995
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2013
DOI: 10.1109/TSE.2013.32
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2009
DOI: 10.1109/MS.2009.13
Publisher: World Scientific Pub Co Pte Lt
Date: 08-1999
DOI: 10.1142/S0218194099000243
Abstract: Distributed, cooperating software agents are useful in many problem domains, such as task automation and work coordination in process-centered environments. We describe a visual language for specifying such software agents, which uses the composition of event-based software components. These specifications may contain interfaces to remotely executing agents, and agents may be run locally or on distributed machines using a decentralized software architecture. As facilities to configure and monitor the state and activities of such distributed, cooperating software agents is essential, we provide primarily visual capabilities to achieve this. Our static and dynamic software agent visualization techniques have been used on several projects where distributed information processing, system interfacing, work coordination and task automation are required. We illustrate our visualization techniques with ex les from these domains.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2022
Publisher: ACM Press
Date: 2016
Publisher: Association for Computing Machinery (ACM)
Date: 18-09-2024
DOI: 10.1145/3624737
Publisher: IEEE
Date: 2003
Publisher: American Association for the Advancement of Science (AAAS)
Date: 27-09-2013
Abstract: The ChemCam instrument, which provides insight into martian soil chemistry at the submillimeter scale, identified two principal soil types along the Curiosity rover traverse: a fine-grained mafic type and a locally derived, coarse-grained felsic type. The mafic soil component is representative of widespread martian soils and is similar in composition to the martian dust. It possesses a ubiquitous hydrogen signature in ChemCam spectra, corresponding to the hydration of the amorphous phases found in the soil by the CheMin instrument. This hydration likely accounts for an important fraction of the global hydration of the surface seen by previous orbital measurements. ChemCam analyses did not reveal any significant exchange of water vapor between the regolith and the atmosphere. These observations provide constraints on the nature of the amorphous phases and their hydration.
Publisher: Elsevier BV
Date: 2005
Publisher: IEEE
Date: 11-2020
Publisher: Springer US
Date: 1999
Publisher: IEEE
Date: 07-2019
Publisher: IEEE
Date: 09-2015
DOI: 10.1109/EDOC.2015.16
Publisher: Springer International Publishing
Date: 2002
Publisher: Springer International Publishing
Date: 2020
Publisher: IEEE
Date: 05-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Start Date: 2019
End Date: 2023
Funder: Australian Research Council
View Funded ActivityStart Date: 2017
End Date: 2021
Funder: Australian Research Council
View Funded ActivityStart Date: 2018
End Date: 2020
Funder: Australian Research Council
View Funded ActivityStart Date: 2020
End Date: 2022
Funder: Australian Research Council
View Funded ActivityStart Date: 2013
End Date: 2017
Funder: Australian Research Council
View Funded ActivityStart Date: 2010
End Date: 2012
Funder: Australian Research Council
View Funded ActivityStart Date: 2019
End Date: 2023
Funder: Australian Research Council
View Funded ActivityStart Date: 2017
End Date: 2017
Funder: Australian Research Council
View Funded ActivityStart Date: 03-2010
End Date: 12-2014
Amount: $470,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 05-2017
End Date: 03-2020
Amount: $340,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2012
End Date: 05-2015
Amount: $320,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 05-2017
End Date: 12-2017
Amount: $635,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 05-2014
End Date: 12-2017
Amount: $440,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2020
End Date: 02-2025
Amount: $3,009,457.00
Funder: Australian Research Council
View Funded ActivityStart Date: 09-2013
End Date: 02-2018
Amount: $260,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2013
End Date: 10-2017
Amount: $360,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 05-2023
End Date: 05-2028
Amount: $4,583,816.00
Funder: Australian Research Council
View Funded ActivityStart Date: 03-2019
End Date: 03-2024
Amount: $5,000,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 05-2020
End Date: 12-2023
Amount: $390,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 03-2018
End Date: 10-2023
Amount: $2,962,655.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2011
End Date: 12-2014
Amount: $360,000.00
Funder: Australian Research Council
View Funded Activity