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2023 Medical Technologies Congress, TIPTEKNO 2023

作者： Kurtel, Kaan Kizil, Melahat Ercan, Umuthan Ozsimsek, Suzan E. Mihci, Hasan Baris Izmir University of Economics Balcova Department of Software Engineering Izmir Turkey Izmir University of Economics Paramedic Program Vocational School of Health Services Turkey Luleå University of Technology Sweden Macquarie University Australia

ISBN: (纸本)9798350328967

The aim of this study is to develop a fun and effective computer application game for children with amblyopia and to prevent eye strain in people whose work or lifestyle involves constantly looking at screens. The main motivation is to use children's enthusiasm for playing video games for the treatment of amblyopia. For this, hardware and software products were brought together, and a software was developed according to software engineering principles. The system was tested with a group of volunteers and necessary alterations were made. © 2023 IEEE.

关键词： Eye tracking

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Image retrieval based on dual rearrangement of object corner 9

Image retrieval based on dual rearrangement of object corner

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9th International Conference on Smart Media and Applications, SMA 2020

作者： An, Youngeun Pan, Sungbum Kim, Taeyeun Department of IT Research Institute Chosun University Gwangju Korea Republic of Division of Electronics Engineering Chosun University Gwangju Korea Republic of National Program of Excellence in Software Center Chosun University Gwangju Korea Republic of

ISBN: (纸本)9781450389259

In this study, image search techniques are suggested based on dual rearrangement of object corner. Suggested algorithm is proceeded in the following stages. First, edges and corner points are extracted in the image. Then, the dispersion value and the number of white level are extracted in each of the corner areas. In addition, correlogram feature table is configured by using the dispersion value and the number of white level measuring the similarity of them. Suggested technique turned out to be outstanding in performance from objects with distinct structure in the image and strong against movement or rotation of an object. In addition, it represented an improved recall by about 0.05 compared to searching form in the use of corner patch histogram. © 2020 ACM.

关键词： Dispersions

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Message from program Committee

ICCQ 2022 - Proceedings of the 2nd International Conference ...

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ICCQ 2022 - Proceedings of the 2nd International Conference on Code Quality 2022年 2022-January卷 9-9页

作者： Succi, Giancarlo Program Committee Faculty of Computer Science and Software Engineering Innopolis University Russi Italy

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Insider Threats to Cloud Computing: Directions for New Research Challenges

Insider Threats to Cloud Computing: Directions for New Resea...

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IEEE Annual International Computer software and Applications Conference (COMPSAC)

作者： William R Claycomb Alex Nicoll CERT Program Software Engineering Institute Carnegie Mellon University Pittsburgh PA USA

Cloud computing related insider threats are often listed as a serious concern by security researchers, but to date this threat has not been thoroughly explored. We believe the fundamental nature of current insider threats will remain relatively unchanged in a cloud environment, but the paradigm does reveal new exploit possibilities. The common notion of a cloud insider as a rogue administrator of a service provider is discussed, but we also present two additional cloudrelated insider risks: the insider who exploits a cloud-related vulnerability to steal information from a cloud system, and the insider who uses cloud systems to carry out an attack on an employer's local resources. We also characterize a hierarchy of administrators within cloud service providers, give examples of attacks from real insider threat cases, and show how the nature of cloud systems architectures enables attacks to succeed. Finally, we discuss our position on future cloud research.

关键词： Cloud computing Security Servers Electronic mail Companies Monitoring

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A Sequential Approach to Analyzing Irregular Multivariate Inspection Data

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Quality engineering 1998年第3期10卷 551-551页

作者： Barad, M. Raz, T. Department of Industrial Engineering Tel Aviv University Tel Aviv Israel Faculty of Management Tel Aviv University Tel Aviv Israel Department of Industrial Engineering Tel Aviv University Israel Management of Technology Program Leon Recanati Grad. Sch. Bus. Admin. Tel Aviv University Israel IBM Software Development Laboratory Industrial Engineering Faculty Ben Gurion University Israel Industrial Engineering Faculty University of Iowa United States Industrial Engineering Faculty University of Arizona United States

To improve prediction of inspection effectiveness, a methodologyfor smoothing the irregularities of the inspection data has beendeveloped. It comprises a sequential application of a battery ofmultivariate techniques, comple- menting one another in reducing thedata dimensions and improving the prediction of defect ***, the reduc- ton of data is applied through discriminantanalysis to the set of inspection variables. Then, the reduced set ofvari- ables (best discriminatory predictor) is used for clusteringthese of objects (the inspected items).

关键词： Multivariate dichotomous data Smoothing data irregularities Sequentialmultivariate analysis

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Identification of software Bugs by Analyzing Natural Language-Based Requirements Using Optimized Deep Learning Features

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Computers, Materials & Continua 2024年第3期78卷 4379-4397页

作者： Qazi Mazhar ul Haq Fahim Arif Khursheed Aurangzeb Noor ul Ain Javed Ali Khan Saddaf Rubab Muhammad Shahid Anwar Department of Computer Science and Engineering and International Bachelor’s Program in Informatics Yuan Ze UniversityZhongliTaoyuan320315Taiwan Department of Computer Science National University of PakistanRawalpindiPunjab46000Pakistan Department of Computer Software Engineering MCSNational University of Sciences and TechnologyIslamabad44000Pakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Department of Computer Science School of PhysicsEngineering and Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer Engineering College of Computing and InformaticsUniversity of SharjahSharjah27272United Arab Emirates Department of AI and Software Gachon UniversitySeongnam-SI13120South Korea

software project outcomes heavily depend on natural language requirements,often causing diverse interpretations and issues like ambiguities and incomplete or faulty *** are exploring machine learning to predict software bugs,but a more precise and general approach is *** bug prediction is crucial for software evolution and user training,prompting an investigation into deep and ensemble learning ***,these studies are not generalized and efficient when extended to other ***,this paper proposed a hybrid approach combining multiple techniques to explore their effectiveness on bug identification *** methods involved feature selection,which is used to reduce the dimensionality and redundancy of features and select only the relevant ones;transfer learning is used to train and test the model on different datasets to analyze how much of the learning is passed to other datasets,and ensemble method is utilized to explore the increase in performance upon combining multiple classifiers in a *** National Aeronautics and Space Administration(NASA)and four Promise datasets are used in the study,showing an increase in the model’s performance by providing better Area Under the Receiver Operating Characteristic Curve(AUC-ROC)values when different classifiers were *** reveals that using an amalgam of techniques such as those used in this study,feature selection,transfer learning,and ensemble methods prove helpful in optimizing the software bug prediction models and providing high-performing,useful end mode.

关键词： Natural language processing software bug prediction transfer learning ensemble learning feature selection

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DSLBench: Applying DSL in benchmark generation

ACM International Conference Proceeding Series

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ACM International Conference Proceeding Series 2006年 183卷

作者： Bui, Ngoc Bao Jeffery, Ross Empirical Software Engineering Program National ICT Australia Ltd. School of Computer Science and Engineering University of New South Wales Australia

ISBN: (纸本)1595934235

Meeting performance requirements is a challenging software engineering problem in designing and constructing middleware based applications. Considerable efforts have been spent to build performance analysis models from the application architectural models that can be applied before the implementation phase. Accurate analysis models require realistic performance data to be populated into the performance models, which represents the performance characteristics of the middleware and the application hosted by the middleware runtime environment. Benchmark applications are usually developed to collect these performance data. However, benchmark generation for middleware-based systems is a costly and time consuming process because of the complexity of programming models and technology specific features of different types of middleware. The paper proposes an approach to automate benchmark generation processes following Model Driven Development methodology, which aims to construct deployable benchmark applications from the high-level design models. A modelling language is designed specifically for performance testing domain by using the recently released Microsoft Domain Specific Language toolkit. This approach can be integrated into Visual Studio 2005 Team System as a "plug in " to model and generate load testing suites. Copyright 2006 ACM.

关键词： DSL

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Metaverse with Mobile Twin Edge Computing: Empowering Optimal Efficiency and Accuracy

Metaverse with Mobile Twin Edge Computing: Empowering Optima...

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2024 International Conference on engineering and Computing, ICECT 2024

作者： Bibi, Asma Noor, Umara Rashid, Zahid International Islamic University Faculty of Computing and Information Technology Department of Software Engineering Islamabad Pakistan Kohsar University Department of Computer Science Murree Pakistan Technology Management Economics and Policy Program College of Engineering Seoul National University Seoul08826 Korea Republic of

ISBN: (纸本)9798350349719

The concept of Digital Twin has been widely used by researchers to represent physical entities in computer-generated reality in the metaverse. In this research, a novel concept of 'Mobile Twin' is coined. Mobile Twin serves as a replica of a mobile device in the virtual environment enabling communication. The purpose of introducing Mobile Twin in the metaverse is to bring mobility and benefits similar to tangible mobile devices while eliminating the need for individual energy sources, storage limitations, resource usage, and efficiency. The true benefits of a mobile twin can be achieved with an architecture where computing nodes are decentralized, data processing is near the network's edge with faster response times and reduced latency. For this purpose, the mobile twin-based applications of metaverse are built over edge computing-based network architecture. This idea introduced the aspect of 'Revolutionary Ultra-low latency (RULL)' in the metaverse. © 2024 IEEE.

关键词： Electric power utilization

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Stress detection system for social media users 7

Stress detection system for social media users

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7th International Conference on Computer Science and Computational Intelligence, CSCI 2022

作者： Febriansyah, Mochamad Rizky Nicholas Yunanda, Rezki Suhartono, Derwin Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Software Engineering Program Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

Stress detection is a growing topic in the field of natural language processing. The study of stress detection for mental health prediction has been proven to benefit the development of recommender systems and automated mental health assessments in previous studies. Additionally, the widespread usage of social media has served as a potential data source for developing such models. Our research tried to detect whether the users of social media were under stress or not. We used a dataset from Dreaddit consisting of posts from one of the popular social media platforms, Reddit. We propose a machine learning model consisting of Support Vector Machine (SVM), Naïve Bayes, Decision Tree, Random Forest, Bag of Words, and Term Frequency - inverse document frequency (TF-IDF) for stress detection. The final evaluation of the model achieved an 80.00% F-1 Score and 75.00% accuracy, and both were scored by SVM. © 2022 Elsevier B.V.. All rights reserved.

关键词： Support vector machines

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HORSE: Harmonize regional and global stratigraphic records through horizon sequencing

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Palaeogeography, Palaeoclimatology, Palaeoecology 2025年 670卷

作者： Chu, Tianyi Huang, Hanhui Fan, Junxuan Deng, Yiying Xu, Tao Qian, Chao Xue, Ke Sheets, H. David Stephenson, Michael H. Shi, Yukun Hou, Xudong School of Earth Sciences and Engineering and Frontiers Science Center for Critical Earth Material Cycling Nanjing University Nanjing 210023 China State Key Laboratory of Critical Earth Material Cycling and Mineral Deposits Nanjing University Nanjing 210023 China Department of Earth Sciences University of Oxford South Parks Road Oxford OX1 3AN United Kingdom School of Resources and Environmental Engineering Hefei University of Technology Hefei 230009 China HIC-ZJU Sunny Innovation Institute ZJU-Hangzhou Global Scientific and Technological Innovation Center Hangzhou 311200 China National Key Laboratory for Novel Software Technology Nanjing University Nanjing 210023 China School of Artificial Intelligence Nanjing University Nanjing 210023 China Data Science Program Department of Computer and Data Science Merrimack College North Andover 01845 MA United States Stephenson Geoscience Consulting Ltd. Keyworth Nottingham NG125HU United Kingdom

A uniform, high-resolution geological timescale is essential for studying Earth's history, including the dynamics of biodiversity and environmental change. Quantitative stratigraphy combines stratigraphic data with statistical and computational approaches into a global timescale that allows them to be correlated simultaneously. For example, Constrained Optimization (CONOP), built upon Graphic Correlation, sequences geological events to generate a composite sequence by resolving inconsistencies among stratigraphic records. However, CONOP determines only the global order of events (e.g., first or last appearances of species) and cannot assign ages to local records, e.g., a locally observed fossil occurrence. Horizon Annealing (HA) addresses this by using a simulated annealing algorithm to sequence sampling “horizons” while preserving local stratigraphic details. Here, we report HORizon SEquencing (HORSE), a generalized and optimized method for HA, with an implementation including parallel computing and genetic algorithms to enable fast, automatic stratigraphic correlation on large datasets. We evaluate HORSE, HA, and CONOP on three datasets—two empirical and one simulated—and assess their performance in terms of accuracy, efficiency, and robustness. HORSE greatly outperforms HA in computational efficiency and performs comparably to CONOP in event sequencing with greater robustness. Beyond constructing high-resolution geological timescales or life histories in deep time, HORSE uniquely preserves local stratigraphic information, enabling applications in palaeogeographical or palaeoecological studies, as well as evaluations of preservation and sampling biases—capabilities not possible with CONOP. © 2025 Elsevier B.V.

关键词： Constrained Optimization Geological timescale Horizon Annealing Parallelization Quantitative stratigraphy

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