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30th International Conference on software engineering, ICSE 2008 - 4th International Workshop on Predictor Models in software engineering, PROMISE 2008

作者： Seo, Yeong-Seok Yoon, Kyung-A Bae, Doo-Hwan Software Engineering Laboratory Division of Computer Science EECS KAIST 373-1 Guseong-dong Yuseong-gu Daejeon 305-701 Korea Republic of

ISBN: (纸本)9781605580364

Accurate software effort estimation has always been challenge for software engineering communities. To improve the estimation accuracy of software effort, many studies have focused on effort estimation methods without any consideration of data quality, although data quality is one of important factors to impact to the estimation accuracy. In this paper, we investigate the influence of outlier elimination upon the accuracy of software effort estimation through empirical studies applying two outlier elimination methods(Least trimmed square and K-means clustering) and three effort estimation methods(Least squares, Neural network and Bayes ian network) associatively. The empirical studies are performed using two industry data sets(the ISBSG Release 9 and the Bank data set which consists of the project data performed in a bank in Korea) with or without outlier elimination. Copyright 2008 ACM.

关键词： Least squares approximations

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Digital smartpen technology and revitalization of the myaamia language

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Journal on Computing and Cultural Heritage 2011年第4期4卷 1-11页

作者： Obonyo, Victor Troy, Douglas Baldwin, Daryl Clarke, James Division of Water Quality Lexington-Fayette Urban County Government 201 Lisle Industrial Ave. Lexington KY 45011 United States Department of Computer Science and Software Engineering School of Engineering and Applied Science Miami University Oxford OH 45056 United States

The article reports the results of a usability test applying digital smartpen technology and interactive audio booklets to assist the Miami Tribe of Oklahoma in revitalization of the Myaamia language and culture. The usability test was conducted to determine if computer technology such as smartpens can provide an effective tool in the Tribe's home-based education initiative. Previous efforts in the use of computer technology language revitalization are reviewed and found to offer promise. The smartpen technology is reviewed, the interactive booklets and programmed smartpen are described, and usability test results are analyzed. Encouraging findings have led to interest in further development of additional technological tools that could be incorporated into "home learning kits." Additionally, by interchanging sound files, the smartpen software can be adapted easily to support language revitalization work by other communities. © 2011 ACM.

关键词： Mobile computing

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Design and implementation of software architecture for mobile terminals supporting interworking between CDMA and WiBro

Design and implementation of software architecture for mobil...

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2nd International Conference on Convergent Information Technology, ICCIT 07

作者： Kim, Do-Hyung Lee, Hwan-Gu Kim, Won-Tae Kim, Sun-Ja Lee, Cheol-Hoon Embedded S/WResearch Division Electronics and Telecommunications Research Institute Dept. of Computer Engineering System Software Lab. Chungnam National University

ISBN: (纸本)0769530389

This paper describes the design and implementation of software architecture for Linux-based mobile terminals supporting interworking between CDMA and WiBro. The software architecture includes network switching controller which controls the network switching procedure among other modules and multi-option network selection algorithm. The software architecture also includes function which provides network transparency to the higher network layer and mobile IPv4 based mobility function. The implemented software architecture is designed to have expandability in each function and easily applied to the terminal with more than two networks. The procedures and functions of software architecture are verified by interworking with the multimedia application program. © 2007 IEEE.

关键词： Application programs

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An efficient and secure routing protocol for wireless sensor networks using multicasting

An efficient and secure routing protocol for wireless sensor...

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IEEE International Conference on Green Computing and Communications

作者： Dhurandher, Sanjay K. Obaidat, Mohammad S. Jain, Gaurav Ganesh, Isha Mani Shashidhar, Vinay Division of Information Technology Netaji Subhas Institute of Technology University of Delhi New Delhi India Department of Computer Science and Software Engineering Monmouth University NJ United States Division of Computer Engineering Netaji Subhas Institute of Technology University of Delhi New Delhi India

ISBN: (纸本)9780769543314

Recent technological advancements in the field of nanotechnology have increased the computation power of the wireless nodes while adhering to the energy constraints. This has made the use of the Wireless Sensor Networks (WSNs), more widespread;used in applications such as area monitoring, industrial monitoring, vehicle detection or military monitoring. Sensor nodes have made it possible to collect data even in hostile environments, but because of the severe security and energy constraints faced by sensor networks, their deployment on a large scale is still a tricky job. A secure energy efficient routing algorithm is thus the need of the hour. SPIN, Sensor Protocol for Information via Negotiation, is one of the widely used energy efficient routing protocol in WSNs that completely ignores the security aspect. This paper involves proposing an alternate routing protocol, MS-SPIN, which incorporates the best features of SPIN while also addressing the security issue. The implementation of MS-SPIN in NS2 has shown that, for a larger number of nodes, its energy performance characteristics are comparable to those of SPIN while providing security features. © 2010 IEEE.

关键词： Sensor nodes

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Creating a program and research a cryptosystem on the basis of Cardan grille

Creating a program and research a cryptosystem on the basis ...

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2013 2nd International Conference on Informatics and Applications, ICIA 2013

作者： Utepbergenov, Irbulat Kuandykova, Janna Mussin, Tamerlan Sagyndykova, Sholpan Department of Computer Science and Information Systems Kazakh Academy of Transport and Communications Almaty Kazakhstan Department of Computer and Software Engineering Turan University Almaty Kazakhstan Division of Research and Cooperation Caspian University of Technologies and Engineering Aktay Kazakhstan

ISBN: (纸本)9781467352550

Considered cryptosystems such as Cardano square lattices are characterized by the high-speed encryption in use today Enhanced Programming computers. This is because the number of different variants rapidly increases with the size of a square. In this paper we have shown that, for the size of 20 x 20, the number of such grids exceeds the number of 1.6 × 260 Therefore, these systems have sufficient cryptographic resistance. Application of these systems in conjunction with substitution cipher can still more resist cryptographic attacks. © 2013 IEEE.

关键词： Cryptography

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Android malware classification method: Dalvik bytecode frequency analysis 13

Android malware classification method: Dalvik bytecode frequ...

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2013 Research in Adaptive and Convergent Systems, RACS 2013

作者： Kang, Byeongho Kang, BooJoong Kim, Jungtae Im, Eul Gyu Department of Computer and Software Hanyang University Seoul 133-791 Korea Republic of Department of Electronics and Computer Engineering Hanyang University Seoul 133-791 Korea Republic of Division of Computer Science and Engineering Hanyang University Seoul 133-791 Korea Republic of

ISBN: (纸本)9781450323482

The number of Android malware is increasing with the growth of Android, so there needs to have a method to classify malware families. There are many classification methods proposed so far, but most of them are based on permission information such as the number of requested permissions and critical permissions. Since permission information cannot represent actual application behaviors and permissions are easily separated into several communicating applications, the permission based classification methods can result in false alarms. Opposed to these permission based methods, our classification method is based on applications' Bytecode that contains actual application behaviors. Each malicious application family may have some similar Bytecode and can be classified using this information. In this paper, we propose a method to classify malware families from known malware, as a pre-step of malware detection. © 2013 Authors.

关键词： Android malware

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Function matching-based binary-level software similarity calculation 13

Function matching-based binary-level software similarity cal...

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2013 Research in Adaptive and Convergent Systems, RACS 2013

作者： Lee, Yeo Reum Kang, BooJoong Im, Eul Gyu Department of Computer and Software Hanyang University Seoul 133-791 Korea Republic of Department of Electronics and Computer Engineering Hanyang University Seoul 133-791 Korea Republic of Division of Computer Science and Engineering Hanyang University Seoul 133-791 Korea Republic of

ISBN: (纸本)9781450323482

This paper proposes a method to calculate similarities of software without any source code information. The proposed method can be used for various applications such as detecting the source code theft and copyright infringement, as well as locating updated parts of software including malware. To determine the similarities of software, we used an approach that matches similar functions included in software. Our function-based matching process is composed of two steps. In step 1, the structural information of call graph in binary file is used to match functions, and the matched functions are not processed in step 2 to reduce the number of detailed matching. In step 2, by using instruction mnemonics, N-gram similarity-based matching is performed. Using the structural matching proposed in this paper, about 30% improvement in the matching performance is achieved with the four-tuple matching which also reduces the false positive rate compared to previous studies. Our other experimental results showed that, in comparison to source code-based approaches, our proposed method has only about 3% difference in similarity calculation with real software samples. Therefore, we argue that our proposed method makes a contribution in the field of binary-based software similarity calculation. © 2013 ACM.

关键词： Malware

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SlowFast Based Real-Time Human Motion Recognition with Action Localization

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computer Systems Science & engineering 2023年第11期47卷 2135-2152页

作者： Gyu-Il Kim Hyun Yoo Kyungyong Chung Department of Computer Science Kyonggi UniversitySuwon16227Korea Contents Convergence Software Research Institute Kyonggi UniversitySuwon16227Korea Division of AI Computer Science and Engineering Kyonggi UniversitySuwon16227Korea

Artificial intelligence is increasingly being applied in the field of video analysis,particularly in the area of public safety where video surveillance equipment such as closed-circuit television(CCTV)is used and automated analysis of video information is ***,various issues such as data size limitations and low processing speeds make real-time extraction of video data *** analysis technology applies object classification,detection,and relationship analysis to continuous 2D frame data,and the various meanings within the video are thus analyzed based on the extracted basic *** recognition is key in this *** recognition is a challenging field that analyzes human body movements,requiring the interpretation of complex movements of human joints and the relationships between various *** deep learning-based human skeleton detection algorithm is a representative motion recognition ***,motion analysis models such as the SlowFast network algorithm,have also been developed with excellent ***,these models do not operate properly in most wide-angle video environments outdoors,displaying low response speed,as expected from motion classification extraction in environments associated with high-resolution *** proposed method achieves high level of extraction and accuracy by improving SlowFast’s input data preprocessing and data structure *** input data are preprocessed through object tracking and background removal using YOLO and DeepSORT.A higher performance than that of a single model is achieved by improving the existing SlowFast’s data structure into a frame unit *** on the confusion matrix,accuracies of 70.16%and 70.74%were obtained for the existing SlowFast and proposed model,respectively,indicating a 0.58%increase in *** detection,based on behavioral classification,the existing SlowFast detected 2,341,164 cases,whereas the proposed model detected 3,11

关键词： Artificial intelligence convolutional neural network video analysis human action recognition skeleton extraction

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Abnormal Behavior Detection Using Deep-Learning-Based Video Data Structuring

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Intelligent Automation & Soft Computing 2023年第8期37卷 2371-2386页

作者： Min-Jeong Kim Byeong-Uk Jeon Hyun Yoo Kyungyong Chung Department of Computer Science Kyonggi UniversitySuwon-si16227Gyeonggi-doKorea Contents Convergence Software Research Institute Kyonggi UniversitySuwon-si16227Gyeonggi-doKorea Division of AI Computer Science and Engineering Kyonggi UniversitySuwon-si16227Gyeonggi-doKorea

With the increasing number of digital devices generating a vast amount of video data,the recognition of abnormal image patterns has become more ***,it is necessary to develop a method that achieves this task using object and behavior information within video *** methods for detecting abnormal behaviors only focus on simple motions,therefore they cannot determine the overall behavior occurring throughout a *** this study,an abnormal behavior detection method that uses deep learning(DL)-based video-data structuring is *** and motions are first extracted from continuous images by combining existing DL-based image analysis *** weight of the continuous data pattern is then analyzed through data structuring to classify the overall *** performance of the proposed method was evaluated using varying parameter settings,such as the size of the action clip and interval between action *** model achieved an accuracy of 0.9817,indicating excellent ***,we conclude that the proposed data structuring method is useful in detecting and classifying abnormal behaviors.

关键词： Deep learning object detection abnormal behavior recognition classification data structuring

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Possibilities about the design Lean canvas model and its adaptation in the agile testing

Possibilities about the design Lean canvas model and its ada...

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2017 Symposium for Young Scientists in Technology, engineering and Mathematics, SYSTEM 2017

作者： Nidagundi, Padmaraj Novickis, Leonids Faculty of Computer Science and Information Technology Institute of Applied Computer Systems Riga Technical University Riga Latvia Head of the Division of Software Engineering Faculty of Computer Science and Information Technology Riga Technical University Riga Latvia

software development industry is inventing new development methodologies in last 10 years for improving the existing developing tools, process and delivering a high-quality software to end customer in short time. In recent year's waterfall development becomes less attractive in the software industry and shifted its attention towards the new software development methodologies such as agile. Agile brought the new dimension to software development and improved the development, testing process and added new challenges. There are different agile development methodologies in practice such as Scrum, FDD, Kanban, DSDM, XP, ASD, Lean, and Crystal, all these have different approaches in software development but share the same principle of the agile. Nowadays software development process adopted a new number of software tools in the overall process of development and software testing also moved towards the more automation to deploy, validate and verify the software code as early possible. In recent years, lean canvas is used for the planning and validating the business model and this paper will bring more focus on the lean canvas model design adaptation in agile software test strategy building, test planning and guiding the test team to work fast. Copyright © 2017 held by the authors.

关键词： software testing

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