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Critical successful factors affecting adoption of eHealth system in developing countries

Test engineering and Management 2020年第1-2期82卷 306-316页

作者： Al-Radaideh, Ahmad Tawfig Alazzam, Malik Bader Management Information Systems Department Jadara University Jordan Software Engineering Department Ajloun National University Jordan

Recently, cloud computing has gained popularity in healthcare systems with its ability to provide health services especially to people in remote areas. Despite its numerous advantages, there is still a significant number of healthcare users who do not fully approve the use of the technology especially in emerging nations were there are cases data privacy issues and lack of IT infrastructure. The study objects to proper identification on factors that influence users’ opinions regarding their preference to adoptcloud based health awareness system. 366 respondents were questioned with questionnaires in four site of Jordan and there was an estimated 66.7% response. Data was analyzed using *** to giveadmittance to healthcare services especially those in remote areas to reduce time required to access medical centers and associated costs. Results: PE{B = 0.30 &T = 5.81}, EE{B = 0.18 &T = 3.91}, SI{B = 0.207&T = 3.96}, FC{B = 0.21 &T = 4.83}, privacy P {B = 0.150 &T = 3.08}, and information exchange IE{B = 0.110 &T = 2.52}have a grave effect to consumer's behaviorpurpose. But cloud based health awareness CBHA {β = 0.10& t = 1.50} identified as numerically insignificant. Based on the results policy makers need to consider the findings to ensure there is proper integration failure it will result to challenges created. © 2020 Mattingley Publishing. All rights reserved.

关键词： Health care

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Global software development and collaboration: Barriers and solutions

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ACM Inroads 2010年第3期1卷 66-78页

作者： Noll, John Beecham, Sarah Richardson, Ita Lero the Irish Software Engineering Centre Department of Computer Science and Information Systems University of Limerick Limerick Ireland

While organisations recognise the advantages offered by global software development, many socio-technical barriers affect successful collaboration in this inter-cultural environment. In this paper, we present a review of the global software development literature where we highlight collaboration problems experienced by a cross-section of organisations in twenty-six studies. We also look at the literature to answer how organisations are overcoming these barriers in practice. We build on our previous study on global software development where we define collaboration as four practices related to agreeing, allocating, and planning goals, objectives, and tasks among distributed teams. We found that the key barriers to collaboration are geographic, temporal, cultural, and linguistic distance;the primary solutions to overcoming these barriers include site visits, synchronous communication technology, and knowledge sharing infrastructure to capture implicit knowledge and make it explicit. © 2010 ACM.

关键词： software design

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An Intelligent Privacy Protection Scheme for Efficient Edge Computation Offloading in IoV

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Chinese Journal of Electronics 2024年第4期33卷 910-919页

作者： Liang YAO Xiaolong XU Wanchun DOU Muhammad Bilal School of Software Nanjing University of Information Science and Technology State Key Laboratory for Novel Software Technology Nanjing University Department of Computer and Electronics Systems Engineering Hankuk University of Foreign Studies

As a pivotal enabler of intelligent transportation system(ITS), Internet of vehicles(Io V) has aroused extensive attention from academia and industry. The exponential growth of computation-intensive, latency-sensitive,and privacy-aware vehicular applications in Io V result in the transformation from cloud computing to edge computing,which enables tasks to be offloaded to edge nodes(ENs) closer to vehicles for efficient execution. In ITS environment,however, due to dynamic and stochastic computation offloading requests, it is challenging to efficiently orchestrate offloading decisions for application requirements. How to accomplish complex computation offloading of vehicles while ensuring data privacy remains challenging. In this paper, we propose an intelligent computation offloading with privacy protection scheme, named COPP. In particular, an Advanced Encryption Standard-based encryption method is utilized to implement privacy protection. Furthermore, an online offloading scheme is proposed to find optimal offloading policies. Finally, experimental results demonstrate that COPP significantly outperforms benchmark schemes in the performance of both delay and energy consumption.

关键词： Industries Privacy Energy consumption Transportation Computational efficiency Encryption Protection

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LaneDraw: Cascaded lane and its bifurcation detection with nested fusion

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Science China(Technological Sciences) 2021年第6期64卷 1238-1249页

作者： REN KeYan HOU HaoChen LI SiYang YUE TianYi Faculty of Information Technology Beijing University of TechnologyBeijing 100124China Beijing Engineering Research Center for IoT Software and Systems Beijing 100124China

Lane and its bifurcation detection is a vital and active research topic in low cost camera-based autonomous driving and advanced driver assistance system(ADAS). The common lane detection pipeline usually predicts lane segmentation mask firstly, and then makes line fitting by parabola or spline post-processing. However, if the speed of the lane and its bifurcation detection is fast and robust enough, we think curve fitting is not a necessary step. The goal of this work is to get accurate lane segmentation,identification of every lane, adaptability of lane numbers and the right combination of lane bifurcation. In this work, we relabeled lane and its bifurcation with solid line if the image of Tu Simple dataset has both of them. In the data training process, we apply a data balance strategy for the heavily biased lane and non-lane data. In such a way, we develop a competitive cascaded instance lane detection model and propose a novel bifurcation pixel embedding nested fusion method based on full binary segmentation pixel embedding with self-grouping cluster, called Lane Draw. Our method discards curve fitting process, therefore it reduces the complexity of post-processing and increases detection speed at 35 fps. Moreover, the proposed method yields better performance and high accuracy on the relabeled Tu Simple dataset. To the best of our knowledge, this is the first attempt in 2 D lane and bifurcation detection, which more often happens in actual situations.

关键词： lane detection bifurcation fusion instance segmentation autonomous driving

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The history and recent advances of natural language interfaces for databases querying 3

The history and recent advances of natural language interfac...

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3rd International Conference of Computer Science and Renewable Energies, ICCSRE 2020

作者： Majhadi, Khadija Machkour, Mustapha Team of Engineering of Information Systems Faculty of Sciences Agadir Morocco

Databases have been always the most important topic in the study of information systems, and an indispensable tool in all information management systems. However, the extraction of information stored in these databases is generally carried out using queries expressed in a computer language, such as SQL (Structured Query Language). This generally has the effect of limiting the number of potential users, in particular non-expert database users who must know the database structure to write such requests. One solution to this problem is to use Natural Language Interface (NLI), to communicate with the database, which is the easiest way to get information. So, the appearance of Natural Language Interfaces for Databases (NLIDB) is becoming a real need and an ambitious goal to translate the user's query given in Natural Language (NL) into the corresponding one in Database Query Language (DBQL). This article provides an overview of the state of the art of Natural Language Interfaces as well as their architecture. Also, it summarizes the main recent advances on the task of Natural Language Interfaces for databases. © The Authors, published by EDP Sciences, 2021.

关键词： Query processing

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Harnessing optimization with deep learning approach on intelligent transportation system for anomaly detection in pedestrian walkways

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Scientific Reports 2025年第1期15卷 1-28页

作者： Alotaibi, Sultan Refa Alrayes, Fatma S. Maashi, Mashael Maray, Mohammed Alliheedi, Mohammed A. Badawood, Donia Alotaibi, Moneerah Department of Computer Science College of Science and Humanities Dawadmi Shaqra University Shaqra Saudi Arabia Department of Information Systems College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University PO Box 84428 Riyadh 11671 Saudi Arabia Department of Software Engineering College of Computer and Information Sciences King Saud University PO Box 103786 Riyadh 11543 Saudi Arabia Department of Information Systems College of Computer Science King Khalid University Abha Saudi Arabia Department of Computing Faculty of Computing and Information Al-Baha University Al Baha Saudi Arabia Department of Data Science School of Computers Umm Al-Qura University Makkah Saudi Arabia

Anomaly Detection (AD) in pedestrian walkways is significant in urban safety and security methods. It is generally employed for perceiving unusual or abnormal situations, behaviours, or actions in regions devoted to pedestrian traffic, like pedestrian bridges, sidewalks, or crosswalks. The main aim is to enhance security, efficiency, and safety in the urban environment by classifying changes and observing the activities of pedestrians from recognized models. This type of AD usually has sensors, surveillance cameras, and advanced software methods. By applying innovative computer vision (CV) and machine learning (ML) methods, this approach always examines the pedestrian area to detect potential anomalies and attacks. Deep learning (DL) aided AD in pedestrian walkways, which displays a new and very effective method to progress safety and security in urban environments. Therefore, this study designs a novel Harnessing Optimization with a DL Approach on an Intelligent Transportation System with Anomaly Detection in Pedestrian Walkways (HODLAITS-ADPW) method. The presented HODLAITS-ADPW method utilizes the CV and DL process to detect pedestrians accurately. To attain this, the HODLAITS-ADPW method performs image pre-processing using Median Filtering to enrich the quality of input frames. Next, the HODLAITS-ADPW method utilizes an enhanced YOLOv7 object detector for the object’s detection in the frame. Besides, the Chameleon Swarm Algorithm is employed for the optimum hyperparameter tuning method. The HODLAITS-ADPW method uses an Attention Pyramid Convolutional Neural Network model for anomaly recognition. The experimental values of the HODLAITS-ADPW technique were certified on the pedestrian dataset, and the outcomes can be examined in numerous aspects. The empirical findings reported better outcomes for the HODLAITS-ADPW technique when compared to other models. © The Author(s) 2025.

关键词： Chameleon swarm algorithm Intelligent transportation system Median filtering Pedestrian walkway YOLOv7

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An Explanation Model for Quality Improvement Effect of Peer Reviews

An Explanation Model for Quality Improvement Effect of Peer ...

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International Conference on Computational Intelligence for Modelling, Control and Automation

作者： Komuro, Mutsumi Komoda, Norihisa Engineering Support Center Hitachi Software Engineering Japan Department of Information Systems Engineering Faculty of Engineering Osaka Universit Osaka Japan

ISBN: (纸本)9781424433292

Through the analysis of Rayleigh model, an explanation model on the quality effect of peer reviews is constructed. The review activities are evaluated by the defect removal rate at each phase. We made Hypotheses on how these measurements are related to the product quality. These Hypotheses are verified through regression analysis of actual project data and concrete calculation formulae are obtained as a model. This explanation model can be used to (1) evaluate the effect of peer review especially the upper steam review quantitatively, (2) make concrete review plan and to set objective values for review activities, (3) evaluate the effect of each peer review activity or method.

关键词： Regression analysis

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Modeling Topic-Based Human Expertise for Crowd Entity Resolution

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Journal of Computer Science & Technology 2018年第6期33卷 1204-1218页

作者： Sai-Sai Gong Wei Hu Wei-Yi Ge Yu-Zhong Qu State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210023 China Science and Technology on Information Systems Engineering Laboratory Nanjing 210007 China

Entity resolution （ER） aims to identify whether two entities in an ER task refer to the same real-world *** ER uses humans, in addition to machine algorithms, to obtain the truths of ER tasks. However, inaccurate orerroneous results are likely to be generated when humans give unreliable judgments. Previous studies have found thatcorrectly estimating human accuracy or expertise in crowd ER is crucial to truth inference. However, a large number ofthem assume that humans have consistent expertise over all the tasks, and ignore the fact that humans may have variedexpertise on different topics （e.g., music versus sport）. In this paper, we deal with crowd ER in the Semantic Web *** identify multiple topics of ER tasks and model human expertise on different topics. Furthermore, we leverage similartask clustering to enhance the topic modeling and expertise estimation. We propose a probabilistic graphical model thatcomputes ER task similarity, estimates human expertise, and infers the task truths in a unified framework. Our evaluationresults on real-world and synthetic datasets show that, compared with several state-of-the-art approaches, our proposedmodel achieves higher accuracy on the task truth inference and is more consistent with the human real expertise.

关键词： entity resolution crowdsourcing human expertise topic modeling task similarity

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Multi Agent Path Finding Under Obstacle Uncertainty 33

Multi Agent Path Finding Under Obstacle Uncertainty

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33rd International Conference on Automated Planning and Scheduling, ICAPS 2023

作者： Shofer, Bar Shani, Guy Stern, Roni Software and Information Systems Engineering Ben Gurion University Israel

ISBN: (纸本)1577358813

In multi-agent path finding (MAPF), agents must move from their current positions to their target positions without colliding. Prior work on MAPF commonly assumed perfect knowledge of the environment. We consider a MAPF setting where this is not the case, and the planner does not know a-priori whether some positions are blocked or not. To sense whether such a position is traversable, an agent must move close to it and adapt its behavior accordingly. In this work we focus on solving this type of MAPF problem, for cases where planning is centralized but cannot be done during execution. In this setting, a solution can be formulated as a plan tree for each agent, branching on the observations. We propose algorithms for finding such plans trees for two modes of executions: centralized, where the agents share information concerning observed obstacles during execution, a decentralized, where such communication is not allowed. The proposed algorithms are complete and can be configured to optimize solution cost, measured for either the best case or the worst case. We implemented these algorithms and provide experimental results demonstrating how our approach scales with respect to the number of agents and the number of positions we are uncertain about. The results show that our algorithms can solve non-trivial problems, but also highlight that this type of MAPF problems is significantly harder than classical MAPF. Copyright © 2023, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Multi agent systems

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A reference architecture for cloud service offers

A reference architecture for cloud service offers

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17th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2013

作者： Gudenkauf, Stefan Josefiok, Mirco Goring, Andre Norkus, Oliver Software Engineering for Business Information Systems OFFIS Oldenburg Germany

Cloud computing is a concept for the provisioning of internet-based information technology services as a common supply, similar to water supply, electric power supply, and telecommunication services. Several conceptual frameworks to describe and characterize Cloud service offers exist. As they are developed by different groups and organizations, they differ in their intention, type of formulation, the level of description, and in terms of which key issues of cloud service evaluation are addressed. To help overcoming the prevalent skepticism of enterprises regarding Cloud service offers, we surveyed different frameworks for Cloud service offer description. Based on this survey, we propose a consolidated reference architecture to uniformly describe and evaluate Cloud service offers, regardless of whether an organization's own offers or the offers of external providers are evaluated. In addition, we present Cloud Service Navigators (CSN) as a suitable visualization technique to describe visually and compare Cloud service offers and requests. © 2013 IEEE.

关键词： Surveys

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