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2023 Winter Simulation Conference, WSC 2023

作者： Gunal, Murat M. Ismail Osais, Yahya Wagner, Gerd Fenerbahce University Faculty of Engineering and Architecture Atatürk Mah. Ataşehir Bulvari Istanbul Ataşehir34758 Turkey Center for Intelligent Secure Systems King Fahd University of Petroleum and Minerals Computer Engineering Department P.O. Box 2244 Dhahran31261 Saudi Arabia Brandenburg University of Technology Konrad-Wachsmann-Allee 5 Cottbus03046 Germany

ISBN: (纸本)9798350369663

This tutorial aims to introduce Event Graphs (EGs), invented 40 years ago by Lee Schruben to allow eventbased modeling of discrete dynamic systems. Their simplicity and naturalness in causality modelling and simulation modelling made EGs popular in research and practice. In a simulation, an event causes state changes in a system as well as other events to happen in the future. EGs provide a parsimonious diagram representation for the Event Scheduling paradigm of Discrete Event Simulation. We first introduce their visual syntax and informal semantics, and then present a recent extension by adding objects to EGs. Our tutorial also includes an introduction to the formal semantics of EGs and a Python implementation for executing EGs. © 2023 IEEE.

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Machine Learning based Cybersecurity Technique for Detection of Upcoming Cyber Attacks

Machine Learning based Cybersecurity Technique for Detection...

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International Conference on Communication and Electronics Systems (ICCES)

作者： Kanchi Lohitha Lakshmi S.Shobana Bathula Prasanna Kumar K.B.Glory Bonda Kiran Kumar Sandya Rani Department of Computer Science and Engineering Vasireddy Venkatadri Institute Of Technology Guntur Department of IT R.M.K Engineering College Department of Computer Science and Engineering KKR & KSR Institute of Technology and Sciences Guntur AP Department of Engineering English Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh State India Department of Architecture KL School of Architecture KL Deemed to be University Vaddeswaram Dept. of IT St. Martin's Engineering College Secunderabad Telangana India

Cyberattacks are prevalent in the age of the Internet. Each year, both the quantity and severity of cybercrimes increase. Protection against cyber-attacks has become a primary responsibility, Significant in the internet society of today. However, providing cyber security is a highly difficult task that requires experience in the field of attacks and the ability to evaluate the possibility of threats. The continual evolution of cyberattacks is the biggest challenge in this industry. This article describes the significance of cyber security and enumerates the hazards that exist in the present digital environment. The statistics and evaluation of cyberattacks demonstrate the seriousness of these occurrences. Several sorts of cyber security threats are outlined, along with the machine learning approaches that may be used to detect these attacks.

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Keyword extraction based on semantic similarity metric and multi-feature computing 7

Keyword extraction based on semantic similarity metric and m...

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7th International Conference on Big Data Computing and Communications, BigCom 2021

作者： Kang, Hui Sun, Xin Feng, Tie Lin, Shuhang Jilin University College of Computer Science and Technology Changchun China Jilin University College of Software Changchun China Beijing ByteDance Technology Co. Ltd. Department of Product R&D and Engineering Architecture Beijing China

ISBN: (纸本)9781665442527

Keyword extraction is an effective method to extract keywords from a text which can express the main content of the text. However, it is difficult to extract useful information quickly from a large number of documents. In this paper, a semantic similarity metric and multi-feature computing based keyword extraction algorithm is presented. First, a semantic similarity algorithm based on WordNet semantic dictionary toward distance, information and property (SSDIPA) is proposed, which quantifies the degree of association between words. Then, a multi-feature tuple (word frequency, word length, word span, word position, semantic similarity) based computing method is presentssd to score the candidate keywords. Finally, the feature decision tree is used to adjust the proportional relationship among the features so that the keyword extraction results can meet the use's subjective preferences. The result shows that the proposed algorithm outperforms other comparison algorithms, and the multi-feature computing based keywords extraction algorithm can improve the accuracy. © 2021 IEEE.

关键词： Decision trees

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Modified ARQ-based cooperative relaying scheme for a delay tolerant network

Modified ARQ-based cooperative relaying scheme for a delay t...

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2021 IEEE International Conference on Electrical, computer, Communications and Mechatronics Engineering, ICECCME 2021

作者： Otaru, Musa Adinoyi, Abdulkareem Ajiya, Mohammed Aljlayl, Mohammed Yanikomeroglu, Halim Bayero University Kano Department of Electrical Engineering Nigeria Technology Strategy Architecture Saudi Telecommunications Company Saudi Arabia Carleton University Dept. of Systems and Computer Engineering Ottawa Canada

ISBN: (纸本)9781665412629

We use fixed relays deployed by network operators to reduce re-transmission (thereby reducing network power requirements) in addition to providing excellent end-to-end error performance in a revisit to automatic repeat request-based cooperative relaying. The new relaying scheme facilitates the creation of a connectivity suitable for delay tolerant internet-of-things (IoT)-type services. For IoT devices, link reliability and power efficiency are a major system design consideration. The proposed scheme operates in the following fashion. The source (e.g., a sensor) transmits for a certain time window. During this period, the source and the relays do not require per transmission acknowledgment (ACK) from the destination. At the end of a transmission window, the destination sends a 'group' ACK. If negative, relays are invited to help. Depending on the cooperation strategy, each relay transmits in either one transmission time slot or a few time slots, using a suitably chosen higher-order modulation constellation. If no error occurs, the source continues its transmission. Furthermore, we devise a novel strategy for selecting the best relay for this new way of exploiting the benefits of multiple relays in a network. In the process, we reclaim the bandwidth expansion that comes with multi-relay system but still maintaining E2E bit error rate that is superior to that of a single relay cooperation. Numerical results that reveal the benefits of the new and modified ARQ cooperative relaying scheme are presented. © 2021 IEEE.

关键词： Energy efficiency

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Investigating Different Approaches on Online Laboratory Practices

Investigating Different Approaches on Online Laboratory Prac...

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IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)

作者： Inmaculada Tomeo-Reyes Zhuoyu Chen Chamith Wijenayake Arash Khatamianfar School of Electrical Engineering and Telecommunications Faculty of Engineering University of New South Wales Sydney Australia School of Electrical Engineering and Computer Science Faculty of Engineering Architecture and Information Technology University of Queensland Brisbane Australia

Laboratories are an integral part of Engineering education. In this post-pandemic era, there is an increased emphasis on distance learning and hybrid approaches, which demands novel teaching and learning approaches to maintain the hands-on aspects of laboratory work. In this paper, different approaches for online laboratories are explored by encapsulating recent literature as well as the authors’ own experience in Electrical Engineering courses. Specific surveys are used to capture both student and staff perspectives and feedback on online learning approaches for laboratory classes. Recommendations are made based on student and staff experience with these approaches.

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Using Convolutional Neural Networks for Muon detection in WCD tank 4

Using Convolutional Neural Networks for Muon detection in WC...

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4th International Conference on Applied Physics, Simulation and Computing, APSAC 2020

作者： González, B.S. Conceio, R. Tomé, B. Pimenta, M. Herrera, L.J. Guillen, A. Computer Architecture and Technology Department University of Granada Granada Spain LIP/IST Lisbon Portugal

The aim of this paper is to study the possibility of improving the gamma/hadron discrimination in extensive air showers. For this purpose, the identification of hadronic extensive air showers is carried out by means of the detection of muons in water Cherenkov detectors (WCDs). Machine learning algorithms have proven to be useful in a wide variety of fields, and due to their outstanding performance in problems involving complex data, Convolutional Neural Networks (CNNs) have been used in the analysis of the signals measured by the WCDs. Taking simulated events, different approaches were proposed attending to the balance of the classes in the training stage. The results obtained are promising and show that machine learning algorithms provide a powerful tool for muon detection and gamma/hadron discrimination to be considered in future gamma-rays detectors like The Southern Wide-field Gamma-ray Observatory (SWGO) to be built in South America. © Published under licence by IOP Publishing Ltd.

关键词： Cosmology

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Disentanglement of Human Facial Features and the Inspection of Feature Extractor's Quality Based on TL-GAN

Disentanglement of Human Facial Features and the Inspection ...

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2021 International Conference on Applied Mathematics, Modelling and Intelligent Computing, CAMMIC 2021

作者： Gao, Yutong He, Shiwei Wang, Guanghan Xu, Peiyu Information and Computer Science Beijing University of Civil Engineering and Architecture Beijing102612 China Safety Engineering China University of Mining and Technology-Beijing Beijing100089 China Computer Science and Technology Tsinghua University Beijing100084 China Telecommunications Engineering and Management Beijing University of Posts and Telecommunications Hebei065000 China

Recent research on the Generated Adversarial Network models has made great progress in the task of generating images on human demand. Among them, Transparent Latent-space GAN tries to solve the problem by analyzing the latent space and finding the feature axes inside it. This model views the problem from a novel perspective, and it is easy to be carried out. However, more thorough and detailed experiments have shown that the original method on axes disentanglement of the model has certain drawbacks, which may lead to ethical problems, meaning that the model may pick up some pre-existing prejudice of racial or gender discrimination. This paper puts forward a new training mode aiming at reducing the bias existing in the generated images and simultaneously managing the disentanglement. Also, a more thorough examination of the model was conducted and it is found that the architecture of the model may be generalized to some universal functions. Among them, the quality evaluation of the feature extractor is the most practical and useful one. This finding, in turn, may be helpful for distinguishing a more accurate, effective, and robust feature extractor, thus improving the performance of the TL-GAN model in the first place. © Published under licence by IOP Publishing Ltd.

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Hybrid Gene Regulatory Network for Product Styling Construction in Interactive Evolutionary Design

SSRN

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SSRN 2022年

作者： Zeng, Dong Miao, Jingjing Tang, Chaogang Long, Yaxin He, Maoen School of Architecture and Design China University of Mining and Technology Xuzhou China School of Computer Science and Technology China University of Mining and Technology Xuzhou China College of Design and Innovation Tongji University Shanghai China

Interactive evolutionary design (IED) systems, based on interactive evolutionary algorithm, have been the hot topic in both computer science and design recently. Due to the difference in both designer preferences and design capabilities for product styling, there are still many challenges which need to be addressed in practical application of IED systems. In order to tackle these challenges, we in this paper propose to construct a hybrid complex network model for product styling. The model incorporates both design knowledge and personal preferences, through a so-called gene regulatory network (GRN). First, we construct a GRN for product styling using design knowledge with both explicit and implicit knowledge, and then a GRN for product styling based on personal preferences using Boolean evaluation. In the next, combining the design knowledge and personal preferences, we construct a hybrid GRN for product styling. Then, according to the knowledge findings from GRNs, we develop an application strategy of the analytic knowledge in an IED. Taking the product styling SUV as an example, validation work is carried out to evaluate the evolutionary efficiency and design quality. The experimental results demonstrate that the proposed strategy, that embeds expert knowledge in an IED, can greatly improve the efficiency and quality of product styling designs. More important, our strategy can acquire the individual preferences during the evolutionary process as soon as possible. © 2022, The Authors. All rights reserved.

关键词： Efficiency

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A Toolbox of Feminist Wonder: Theories and methods that can make a difference 26

A Toolbox of Feminist Wonder: Theories and methods that can ...

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26th ACM Conference on computer-Supported Cooperative Work and Social Computing, CSCW 2023

作者： Hansson, Karin Bardzell, Shaowen Bhandari, Aparajita Boulicault, Marion Doyle, Dylan Thomas Erete, Sheena Cerratto Pargman, Teresa Lazem, Shaimaa Muller, Michael Normark, Maria Petterson, Adrian Rosén, Anton Poikolainen Taylor, Alex S. Thomas, Jakita O. Watson, Julia Södertörn University The School of Natural Sciences Technology and Environmental Studies Sweden Georgia Institute of Technology The School of Interactive Computing United States Cornell University Department of Communication United States University of Edinburgh Department of Philosophy United States University of Colorado Boulder Department of Information Science United States University of Maryland College of Information United States Stockholm University The Department of Computer and Systems Sciences Sweden City for Scientific Research and Technological Applications The Informatics Research Institute Egypt Ibm Research Human Centered Ai United States Uppsala University Department of Informatics and Media Sweden University of Toronto Faculty of Information Canada Aalto University The School of Arts Design and Architecture Finland City University of London The Centre for Human Computer Interaction Design United Kingdom Auburn University Department of Computer Science and Software Engineering United States University of Toronto Department of Computer Science Canada

ISBN: (纸本)9798400701290

This one-day hybrid workshop builds on previous feminist CSCW workshops to explore feminist theoretical and methodological approaches that have provided us with useful tools to see things differently and make space for change. Since its inception over a decade ago, feminist HCI has progressed from the margins to mainstream HCI, with numerous references in the literature. Feminist HCI has also evolved to incorporate other critical HCI practices such as Queer HCI, participatory design, and speculative design. While feminist approaches have grown in popularity and become mainstream, it is getting more difficult to distinguish the feminist emancipatory core from other attempts of developing and improving society in various ways. In this workshop, we therefore want to revisit our feminist roots, where theory is a liberatory and creative practice, motivated by affect, curiosity, and wonder. From this standpoint, we consider which of our feminist tools can make a significant difference today, in a highly datafied world. The goal of this workshop is to;1) create an inventory of feminist theories and concepts that have had an impact on our work as designers, educators, researchers, and activists;2) develop a feminist toolbox for the CSCW community to strengthen our feminist literacy. © 2023 Owner/Author.

关键词： Computation theory

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Inventory Management System based on IoT and Microservices architecture Design

Inventory Management System based on IoT and Microservices A...

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International Electrical Engineering Congress (iEECON)

作者： Paisan Sithiyopasakul Chavinkorn Piyatananugoon Vasutorn Chaowalittawin Woranidtha Krungseanmuang Posathip Sathaporn Isoon Kanjanasurat Boonchana Purahong Tunjai Archevapanich Attasit Lasakul Computer Engineering Department King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand College of Computing Khon Kean University KhonKean Thailand Faculty of Engineering and Architecture Rajamangala University of Technology Suvarnabhumi Nonthaburi Thailand

This paper presents the inventory management system based on IoT and microservices architecture that synced between IoT (Internet of Things) and web application. There are two main parts consisting of IoT forklift vehicle and data transmitted system by MQTT protocol. Microservice can utilize data to process business logic and provides API. Inventory area includes a zone, a subzone and parking area for forklifts to scan QR code on each subzone. Data of forklifts is published to back-end service. The results of system microservice publish information events and processes business data to the admin client with a delay under a second.

关键词： Productivity Industries Protocols Microservice architectures QR codes Inventory management Manufacturing

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