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检索条件"任意字段=18th International Conference on Software Engineering and Knowledge Engineering"

共 35586 条记录，以下是331-340 订阅

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A Review on Wideband High-Gain Low-thz Antennas for Wireless Applications 18

A Review on Wideband High-Gain Low-THz Antennas for Wireless...

引用

18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Srinivasan, Dhamodharan Premkumar, M. Deepa Nivethika, S. Dhilipkumar, P. Parameswari, S. Chowdary, M. Kalpana Centre for Blockchain and Cybersecurity Sri Eshwar College of Engineering Department of Computer and Communication Engineering Coimbatore India Ssm Institute of Engineering and Technology Department of Electronics and Communication Engineering Dindigul India Vit University School of Computer Science and Engineering Chennai India Sri Ranganathar Institute of Engineering and Technology Department of Ece Coimbatore India Sri Sairam Insitute of Technology Department of Ece Chennai India Mlr Institute of Technology Department of Computer Science and Engineering Hyderabad India

ISBN: (纸本)9789380544519

In this article, the potential of low-terahertz (thz) technology is discussed to present high data rates in future biomedical systems, and also in the 6G mobile system. However, due to the loss, the design of high-gain antennas is crucial to overcome power limitations and compensate for the additional path loss. this article highlights recent developments in wideband and high-gain sub-mm-wave and low-thz antennas and their fabrication technologies. the advancements in recent technologies have enabled the manufacture of antennas with complicated structures with precise accuracy and less expensive. Overall, the paper emphasizes the importance of high-gain antennas in overcoming the challenges associated with low-thz technology and highlights the potential of AM technology in the development of low-cost, high-performance thz antennas. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Antennas high gain low-cost low-terahertz three-dimensional printing (3DP)

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Hot Patching Hot Fixes: Reflection and Perspectives 38

Hot Patching Hot Fixes: Reflection and Perspectives

引用

38th IEEE/ACM international conference on Automated software engineering (ASE)

作者： Hanna, Carol Petke, Justyna UCL Dept Comp Sci London England

ISBN: (纸本)9798350329964

With our reliance on software continuously increasing, it is of utmost importance that it be reliable. However, complete prevention of bugs in live systems is unfortunately an impossible task due to time constraints, incomplete testing, and developers not having knowledge of the full stack. As a result, mitigating risks for systems in production through hot patching and hot fixing has become an integral part of software development. In this paper, we first give an overview of the terminology used in the literature for research on this topic. Subsequently, we build upon these findings and present our vision for an automated framework for predicting and mitigating critical software issues at runtime. Our framework combines hot patching and hot fixing research from multiple fields, in particular: software defect and vulnerability prediction, automated test generation and repair, as well as runtime patching. We hope that our vision inspires research collaboration between the different communities.

关键词： software engineering software maintenance Predictive maintenance Prediction methods Repair

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Improve Accuracy in Healthcare Data Analysis using Competitive Ensemble Deep Learning Model 18

Improve Accuracy in Healthcare Data Analysis using Competiti...

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18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Sravanthi, Jakkula Reddy, Chada Sampath Mahendar, A. Kumar, V. Ravi Buragadda, Swathi Ghantasala, G. S. Pradeep Gupta, Gaurav Vnr Vignana Jyoti Institute of Engineering and Technology Department of Information Technology Telangana India Sree Chaitanya Institute of Technological Sciences Department of Computer Science Engineering Telangana Karimnagar India Telangana Hyderabad India Ace Engineering College Department of Computer Science Engineering Ghatkesar India Lakireddy Balireddy College of Engineering Department of Computer Science Engineering Kakinada India Alliance University Department of Computer Science and Engineering Bengaluru India Shoolini University Yogananda School of Artificial Intelligence Computers and Data Sciences Solan India

ISBN: (纸本)9789380544519

this paper discusses the significance of Machine Learning (ML) and Deep Learning (DL) techniques for structured and unstructured healthcare data. As healthcare data is increasing tremendously, it is difficult to identify hidden patterns in huge amounts of data. DL handles a massive amount of clinical data and provides better outcomes. A novel competitive ensemble deep learning model has been proposed to improve the classification performance of structured data. However, dealing with unstructured data, the proposed work highlights a competitive DL model for Twitter sentiment analysis. In addition, this paper discusses the proposed Competitive Ensemble Deep Learning (CEPL) algorithm for text data. the proposed model is compared with a traditional model to evaluate the model's performance in the range of 0.2%-0.5%. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Accuracy CEPL Deep Learning Healthcare data Machine learning Methods

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Reducing Time in Active Visual Target Search with Bayesian Optimization for Robotic Manipulation 18

Reducing Time in Active Visual Target Search with Bayesian O...

引用

IEEE 18th international conference on Automation Science and engineering (IEEE CASE)

作者： Kittaka, Tatsuya YASKAWA Elect Corp Tsukuba Res Lab 5-9-10 Tokodai Tsukuba Ibaraki Japan

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

For robotic tasks in unknown and large environments, it is important to locate targets to be manipulated by the robot in the environment. If the workspace is too large to capture at a time within the limited measurement field of visual sensors, it is necessary to explore the workspace by moving sensors. However, previous research which models almost the whole environment conduct unnecessarily exhaustive exploration for task execution. the purpose of this research is to enable robots to locate targets in a large workspace in a short time for task execution. Target exploration is formulated as a variation of a 2D black-box optimization problem. A sample-efficient exploration algorithm is proposed based on Bayesian optimization(BO) with Gaussian Process(GP). To utilize the continuity of physical motion of the camera, the algorithm for continuous search is proposed. Furthermore, to utilize prior knowledge about target positions, if available, a method of incorporating prior distribution in GP is proposed, which enables even faster exploration. Experimental results in both simulation and real environments demonstrated the efficiency of the proposed method compared to hand-crafted or naive BO-based exploration algorithms.

关键词： Visualization Computer aided software engineering Robot vision systems Cameras Time measurement Sensors Bayes methods

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Process Dynamics-Aware Flexible Manufacturing for Industry 4.0 18

Process Dynamics-Aware Flexible Manufacturing for Industry 4...

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IEEE 18th international conference on Automation Science and engineering (IEEE CASE)

作者： Balszun, Michael Hobbs, Clara Fraccaroli, Enrico Roy, Debayan Fummi, Franco Chakraborty, Samarjit Tech Univ Munich Munich Germany Univ N Carolina Chapel Hill NC USA Univ Verona Verona Italy

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

this paper studies the following basic flexible manufacturing problem: Given N machines that can perform the same job on a production item (e.g., drilling or tapping) but with different capabilities (e.g., energy requirements and speeds), what is an optimal schedule for the job on these machines? While this is a well-studied problem, the main innovation this paper introduces is the explicit modeling of the underlying process dynamics-i.e., the physical interaction of the item and the machine-using differential equations. the resulting scheduling problem is in a hybrid systems setting that involves determining the transition times between states, where the system evolution in each state is defined by differential equations. To the best of our knowledge, such a cyber-physical systems (CPS) oriented approach to machine scheduling has not been studied before, although it lies at the core of flexible manufacturing in Industry 4.0. We believe that this new formulation might lead to a renewed interest in machine scheduling problems, but now in a hybrid/CPS-oriented setting.

关键词： Drilling Technological innovation Job shop scheduling Computer aided software engineering Optimal scheduling Differential equations Production

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software Development Teams knowledge and Awareness of Security Requirement engineering and Security Requirement Elicitation and Analysis 7

Software Development Teams Knowledge and Awareness of Securi...

引用

7th Information Systems international conference, ISICO 2023

作者： Janisar, Aftab Alam bin Kalid, Khairul Shafee Sarlan, Aliza Bt Maiwada, Umar Danjuma Department of computer and information science Universiti Teknologi Petronas Seri Iskandar Perak32610 Malaysia

software security is a concern due to software's pervasiveness and how rapid software's are developed. Although studies have emphasized the importance of addressing security requirements during the early phases of requirement engineering, it is often overlooked. this oversight may stem from limited knowledge and awareness among software development teams regarding security requirement engineering (SRE) and security requirement elicitation analysis (SREA). To assess this, a quantitative study was conducted. Respondents completed a survey, and the data was analysed using descriptive statistics. the results indicate that software development teams possessed an average knowledge of SRE but demonstrated good knowledge of SREA. © 2023 the Authors. Published by Elsevier B.V.

关键词： Requirements engineering

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Project-Based software engineering Curriculum for Secondary Students 23

Project-Based Software Engineering Curriculum for Secondary ...

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18th WiPSCE conference on Primary and Secondary Computing Education Research (WiPSCE)

作者： Gransbury, Isabella Brock, Janet Root, Emily Catete, Veronica Barnes, Tiffany Grover, Shuchi Ledeczi, Akos North Carolina State Univ Raleigh NC 27695 USA Looking Glass Ventures Palo Alto CA USA Vanderbilt Univ Nashville TN USA

ISBN: (纸本)9798400708510

Background. software engineering (SE) is a new and emerging topic in secondary computer science classrooms. However, a review of the recent literature has identified an overall lack of reporting on the development of SE secondary curriculum. Previous studies also report low student engagement when teaching these concepts. Objectives. In this experience report, we discuss the development of a 9-week, project-based learning (PBL) SE curriculum for secondary students. During this curriculum, students create a socially relevant project in groups of two to three. We discuss displays of participant engagement with CS concepts through the PBL pedagogy and the SE curriculum. Method. We examine participant engagement through group artifact interviews about student experiences during a week-long, virtual summer camp that piloted activities from our curriculum. During this camp, students followed a modified SE life cycle created by the authors of the paper. Findings. Participants showed engagement with the curriculum through various aspects of PBL, such as autonomy, creativity, and personal interest in their project topic. Implications. the lessons learned from this experience report suggest that PBL pedagogy can increase student engagement when teaching CS concepts, and this pedagogy provides detail and structure for future secondary SE curriculum implementations to support educators in the classroom.

关键词： software engineering education K-12 K-12 computer science education project-based learning pegadogy

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Rational use of an over-track exhaust system has an enhanced effect on the smoke exhaust of fire on a metro platform 18

Rational use of an over-track exhaust system has an enhanced...

引用

18th international conference on Indoor Air Quality and Climate, INDOOR AIR 2024

作者： Ma, Mingyao Hou, Yumei Gao, Jun School of Mechanical Engineering Tongji University Shanghai China

ISBN: (纸本)9798331306816

Fire safety is a crucial issue that needs to be addressed in densely populated island metro stations. To reduce smoke caused by fires, numerical computing was used to investigate the effectiveness of ventilation. Field experiments were conducted to verify the accuracy of the numerical model. the study compared the effects of using the platform exhaust system alone and using the over-track exhaust system in combination. the results showed that using both systems together improved the effectiveness of smoke ventilation in the event of a fire. When both systems were used, the temperature under the ceiling was lower, and less smoke spread into the lobby. this study can serve as a guide for the design and modification of ventilation systems in metro stations. © 2024 18th conference of the international Society of Indoor Air Quality and Climate, INDOOR AIR 2024 - conference Program and Proceedings. All rights reserved.

关键词： Subway stations

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Oil Spill Classification using Machine Learning 18

Oil Spill Classification using Machine Learning

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18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Ravulakollu, Kiran Kumar Dewan, Ritu Verma, Kimmi Garg, Setu Mishra, Sunil Kumar Sharan, Bhagwati Woxsen University School of Technology Hyderabad India Galgotias College of Engineering & Technology Department of Computer Science and Engineering Uttar Pradesh India Delhi Technical Campus Greater Noida India Its Engineering College Ece Department Greater Noida India Accurate Institute of Management and Technology Greater Noida India Srm University-AP School of Engineering and Sciences Department of Computer Science and Engineering Guntur India

ISBN: (纸本)9789380544519

An Oil Spill is the accidental discharge of liquid petroleum hydrocarbons into the environment. It is one of the major causes of marine and terrestrial pollution which affects marine ecosystems, marine animals most importantly, the economic system and human society. the study on this will help save lives, protect sensitive ecosystems, and minimize the economic impact of oil spills. this paper provides an overview of oil spill classification techniques using ML approaches, along with their advantages and limitations and recent advancements in the field. the classification techniques that are considered in this article are Random Forest Classifier, Decision Tree Classifier, K-Nearest Neighbors (KNN), Artificial Neural Networks (ANN), Support Vector Machines (SVM), and Ensemble Learning Techniques such as Stacking. the outputs of each classification algorithm are analyzed and compared to determine the most effective method for classifying oil spills. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Decision tree Ensemble learning K-NN Oil Spill Random Forest Support Vector Machine (SVM)

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A Study on Construction Digital Platform Technology Roadmap for Realization of Carbon-Neutral City based on Building Life Log Data 18

A Study on Construction Digital Platform Technology Roadmap ...

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18th international conference on Indoor Air Quality and Climate, INDOOR AIR 2024

作者： Jin, Hye-Sun Koo, Bo-Kyoung Korea Institute of Civil Engineering and BuildingTechnology Goyang Korea Republic of

ISBN: (纸本)9798331306816

the purpose of this study is to examine prior research on building life cycle diagnosis and life log platform, and to present a roadmap for existing public building life log data-based integrated management platform technology that can make comprehensive decisions on policy and legal systems, indoor environmental comfort, and structural safety. Using the results of this study, it is believed that it can be used to develop a system for evaluating and selecting buildings target to green remodeling using public and private data in the future. © 2024 18th conference of the international Society of Indoor Air Quality and Climate, INDOOR AIR 2024 - conference Program and Proceedings. All rights reserved.

关键词： Traffic signals

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