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26th International Conference on Software Engineering and Data Engineering, SEDE 2017

作者： Kiswani, Jalal Muhanna, Muhanna Dascalu, Sergiu M. Harris, Frederick C. Department of Computer Science and Engineering University of Nevada Reno RenoNV89503 United States Department of Computer Graphics Princess Sumaya University for Technology Amman Jordan

ISBN: (纸本)9781943436095

In traditional software projects development, there were mandatory activities that should be carried out during the software development life cycle (SDLC). These activities were time-consuming and expensive. They were either performed manually or in basic approaches by different roles. Some of these activities include: version control, project structuring, development environment preparation, software testing, building, packaging, deployment, and management of dependencies including third party libraries and application programming interfaces (APIs). This paper discusses the rationale behind the importance of these activities, and how their automation can reduce the time and cost of software projects, as well as increasing its quality. This paper also consists of some of available open-source resources, and mature free software tools that are already implemented in the software industry of Java technology. Moreover, the paper discusses current limitations of these tools, and includes three case studies of a government and an academic organization, as well as a software development house, at which these recommendations have been implemented. Copyright ISCA, SEDE 2017.

关键词： Software testing

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Preface

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Journal of computer science & technology 2019年第2期34卷 1-2页

作者： Shi-Min Hu Hongbo Fu Marcus Magnor Department of Computer Science and Technology Tsinghua University Beijing China School of Creative Media City University of Hong Kong Hong Kong Hong Kong Computer Graphics Laboratory Braunschweig University of Technology Braunschweig Germany

It is our great pleasure to announce the publication of this special section in Journal of computer science and technology (JCST),Advances in computer science and technology --Current Advances in the NSFC Joint Resear... 详细信息

关键词： publication computer science and technology Chinese Scholars

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Watch Regulated Medical Heli-Carriage Using DCS Automation

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Journal of Physics: Conference Series 2019年第1期1362卷

作者： Subashini, P Chattopadhyay, Sancharee Sarkar, Sikta Sharma, Sushmita Assistant Professor Ug Scholar Department of Computer Science and Engineering SRM Institute of Science and Technology Ramapuram Chennai-600089 India

In 21st century, the medical industry is tending to reach its pinnacle, unattended and ignored medical emergencies still remain a loophole in the system. Hence this paper proposes the idea of medical heli-carriage. The proposed system promises to reach the patient irrespective of local traffic conditions, variable terrains and climatic conditions. It employs solar power as the primary energy source and also has sufficient battery backup in case of inadequate solar energy. Under any unlikely event of technical fault in the system, it will acknowledge the nearest medical heli-carriage available and the task will be rescheduled to the latter. It will be capable of carrying first aid medical instruments along with two institutional staffs and the patient. Under any critical situation, the patient will tap on the smart watch, which will send a signal to the nearest hospital. The GPS location of the received signal will be tracked by the hospital and fed into the heli-carriage so that it can reach the very location to the earliest. Hence, the system can prove out to be a revolutionary step in the modern medical industry.

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DATA MINING USER BEHAVIORS IN MOBILE ENVIRONMENTS

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Journal of Physics: Conference Series 2019年第1期1228卷

作者： Narsimha Banothu J S V R S Sastry Working as an Associate Professor Department of Computer Science and Engineering Holymary Institute of Technology & Science (HITS) Hyderabad Telangana State India Working as an Assistant Professor Department of Computer Science and Engineering CMR Technical Campus (CMRTC) Hyderabad Telangana State India

Mining client practices in portable situations is a developing and imperative theme in information mining fields. Past inquires about have consolidated moving ways and buy exchanges to discover versatile consecutive examples. Be that as it may, these examples can't reflect real benefits of things in exchange databases. In this work, we investigate another issue of mining high utility versatile consecutive examples by coordinating portable information mining with utility mining. To the best of our insight, this is the primary work that joins versatility designs with high utility examples to discover high utility portable consecutive examples, which are portable successive examples with their utilities. Two tree-based strategies are proposed for mining high utility versatile successive examples. A progression of investigations on the execution of the two calculations are led through trial assessments. The outcomes demonstrate that the proposed calculations convey preferred execution over the cutting edge one under different conditions.

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WITHDRAWN: An efficient food quality analysis model (EFQAM) using the internet of things (IoT) technologies

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Microprocessors and Microsystems 2021年

作者： Neeba EA D. Tamilarasi S. Sasikala Resmi R. Nair K.S. Uma Department of Information Technology Rajagiri School of Engineering & Technology Rajagiri Valley Kakkanad Kochi – 682039 Kerala India Department of Electronics and Communication Engineering MVJ college of Engineering Whitefield Bangalore India Department of Computer Science and Engineering Velammal College of Engineering and Technology Viraganoor Madurai-625 009 Tamil Nadu India Department of Electronics and Communication Engineering Easwari Engineering College Ramapuram Chennai-600089 Tamil Nadu India Assistant Professor Department of Electronics Engineering Pillai College of Engineering New Panvel Navi Mumbai Maharashtra 410206 India

This article has been withdrawn: please see Elsevier Policy on Article Withdrawal ( https://***/about/our-business/policies/article-withdrawal ). This article has been withdrawn at the request of the Editor in Chief. Subsequent to acceptance of this special issue paper by the responsible Guest Editor Vimal Shanmuganathan, the integrity and rigor of the peer-review process was investigated and confirmed to fall beneath the high standards expected by Microprocessors & Microsystems. There are also indications that much of the Special Issue includes unoriginal and heavily paraphrased content. Due to a configuration error in the editorial system, unfortunately the Editor in Chief did not receive these papers for approval as per the journal's standard workflow.

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A biometric based medical information system for the identification of comorbidity in Covid-19 patients

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AIP Conference Proceedings 2021年第1期2387卷

作者： V. Kumaresan K. Punitha S. Ragupathy B. Priestly Shan T. Gunasekaran 1Department of Electrical and Electronics Engineering Kongu Engineering College Perundurai Tamilnadu India 2School of Computer Science and Engineering Vellore Institute of Technology Chennai Tamil Nadu India 3Department of Electrical and Electronics Engineering SSM College of Engineering Komarapalayam Namakkal Tamil Nadu India 4Professor and Dean - Academic Affairs Chandigarh University Mohali Punjab India 5Program Director - Telecommunications University of Technology and Applied Sciences Higher College of Technology Muscat Sultanate of Oman

Medical information System provides the best way to collect patient’s medical information. It helps the doctors to retrieve the patient’s previous medical history very faster and able to provide suitable treatment quickly. To keep medical information of a patient securely is a difficult task. Many MQTT algorithms have been developed to provide security for the patients information. The sensitive medical information of a patient can also be protected by using biometric technology. Internet of Thing (IoT) technology used to send the medical information to the doctor like blood group, BP value, cholesterol level and heart rate level. The proposed system helps to provide the comorbidity details of the Covid-19 infected patient’s to doctors mobile phone. It also takes the current health details of the patients like temperature, respiratory rate and heart beat rate. By considering the past and present medical data of the Covid-19 patients , this system recommends the type of treatment to be given for Covid-19 infected patients.

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Image Encryption Using 2D Sine-Piecewise Linear Chaotic Map

Image Encryption Using 2D Sine-Piecewise Linear Chaotic Map

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International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

作者： Yan-Ru Zhong Hua-Yi Liu Xi-Yan Sun Ru-Shi Lan Xiao-Nan Luo School of Computer Science and Information Security Guilin University of Electronic Technology Guilin China School of Information and Communication Guilin University of Electronic Technology Guilin China Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Image and Graphics Guilin University of Electronic Technology Guilin China

In this paper, a new image encryption algorithm is proposed by integrating Sine and piecewise linear chaotic maps. In order to realize the effect of encrypted image, the security key and 2D Sine-piecewise linear chaotic map (SPLCM) are used to encrypt the image by using random sequence and random matrix, and then using the replacement operation and the diffusion operation of the original image. The proposed image encryption algorithm is simple and practical, and the simulation results show that this algorithm is able to encrypt different types of digital images into unidentifiable random images. The security analysis also shows that this algorithm has a higher security level.

关键词： Encryption Two dimensional displays Digital images Chaotic communication

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Revealing the Invisible: Visual Analytics and Explanatory Storytelling for Advanced Team Sport Analysis

Revealing the Invisible: Visual Analytics and Explanatory St...

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Big Data Visual Analytics (BDVA)

作者： Manuel Stein Thorsten Breitkreutz Johannes Haussler Daniel Seebacher Christoph Niederberger Tobias Schreck Michael Grossniklaus Daniel Keim Halldor Janetzko Department of Computer and Information Science University of Konstanz Germany VIZRT Switzerland Institute for Computer Graphics and Knowledge Visualization Graz University of Technology Austria Universitat Konstanz Konstanz Baden-WÃ¼rttemberg DE Department of Geography University of Zurich Switzerland

ISBN: (纸本)9781538691953

The analysis of invasive team sports often concentrates on cooperative and competitive aspects of collective movement behavior. A main goal is the identification and explanation of strategies, and eventually the development of new strategies. In visual sports analytics, a range of different visual-interactive analysis techniques have been proposed, e.g., based on visualization using for example trajectories, graphs, heatmaps, and animations. Identifying suitable visualizations for a specific situation is key to a successful analysis. Existing systems enable the interactive selection of different visualization facets to support the analysis process. However, an interactive selection of appropriate visualizations is a difficult, complex, and time-consuming task. In this paper, we propose a four-step analytics conceptual workflow for an automatic selection of appropriate views for key situations in soccer games. Our concept covers classification, specification, explanation, and alteration of match situations, effectively enabling the analysts to focus on important game situations and the determination of alternative moves. Combining abstract visualizations with real world video recordings by Immersive Visual Analytics and descriptive storylines, we support domain experts in understanding key situations. We demonstrate the usefulness of our proposed conceptual workflow via two proofs of concept and evaluate our system by comparing our results to manual video annotations by domain experts. Initial expert feedback shows that our proposed concept improves the understanding of competitive sports and leads to a more efficient data analysis.

关键词： Sports Games Data visualization Trajectory Visual analytics Video recording

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Weather Prediction Using Multi Linear Regression Algorithm

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IOP Conference Series: Materials science and Engineering 2019年第1期590卷

作者： N Anusha M Sai Chaithanya Guru Jithendranath Reddy Assistant Professor Department of Computer Science and Engineering Sathyabama Institute of Science and Technology OMR Road Chennai India Under Graduate Student Deaprtment of Computer Science and Engineering Sathyabama Institute of Science and Technology OMR Road Chennai India Under Graduate Student Department of Computer Science and Engineering Sathyabama Institute of Science and Technology OMR Road Chennai India

Weather forecasting is one of the applications of science and technology, used to predict the weather condition depending on the input attributes. Most of the existing systems are implemented using statistical approaches for Support Vector Machine (SVM), which are incapable of giving the accurate prediction as they cannot capture sudden changes in weather conditions. The proposed technique uses the concept of Multi-Linear regression which can produce better results than existing methods.

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Intelligent Transportation Cyber Physical system toward Comfort and Safety perspective using Fuzzy Logic

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Journal of Physics: Conference Series 2019年第1期1362卷

作者： P.Sri Sindhuja Selvanayaki Vishnu KumarKaliappan PG Student Department of Computer Science and Engineering KPR Institute of Engineering andTechnology Coimbatore India Associate Professor Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore India

Intelligent transportation cyber physical system (ITCPS) is used to enhance the safety and performance of the road transportation of a country. A crucial element that affects road safety is passengers comfort factor since a large crowd always invites accidents. An Intelligent Transportation Cyber Physical System is proposed using fuzzy logic for automatic crowd monitoring in buses. Sub-sentential research has been undertaken in ITCPS to manage traffic, safety, and security among which safety measures in the public transportation system is crucial. The main focuses of this paper are on passengers comfort factor and safety. The proposed framework gathers a large set of input parameters using an onboard sensor. Fuzzy logic is applied to identify whether the passenger bus is crossing the safety limit, the data are stored in cloud storage. The Intelligent Transportation Cyber Physical System then monitors the crowded area and allocates another bus by providing proper intimation to the users, the process avoids bus bunching. The test bed is created to simulate the Intelligent Transportation Cyber Physical System framework, with the different scenario the performance is measured.

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