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XI Congreso Internacional de Interaccion Persona-Ordenador, INTERACCION 2010 - 11th International Congress on Human-computer Interaction, INTERACCION 2010

作者： González, María Paula Penichet, Victor M.R. Romero, Sebastián Argentina Department of Computer Science and Engineering Universidad Nacional del Sur Bahía Blanca Argentina Computer Systems Department University of Castilla-La Mancha Albacete02071 Spain

ISBN: (纸本)9788492812523

Argument Assistant systems are software tools used for negotiation and problem solving that have been gaining importance in several areas of Artificial Intelligence, mainly as a vehicle for facilitating rational justifiable decision making when handling incomplete and potentially inconsistent information. This paper proposes the integration of Argument Assistant systems into the Task-Oriented and User-Centred Process Model for Developing Interfaces for Human-computer-Human Environments (TOUCHE). The final goal is aimed to provide software tools capable of supporting appropriate rational discussions (and consequently better decision-making processes) within such process model. © Actas del XI Congreso Internacional de Interaccion Persona-Ordenador, INTERACCION 2010. All rights reserved.

关键词： Decision making

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Social commerce in retailing Why you use it? 27

Social commerce in retailing Why you use it?

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27th Bled eConference: eEcosystems

作者： Li, Hongxiu Liu, Yong Tukkinen, Pia Information Systems Science Department of Management and Entrepreneurship University of Turku Finland MediaTeam Department of Computer Science and Engineering University of Oulu Finland School of Science Department of Media Technology Aalto University Finland

Social media has not only reshaped the way people make decisions, but also changed the norms of how people interact with others. Due to the popularity of social media, social commerce is becoming a new form of e-commerce approaches. This study attempts to investigate what motivates individuals use of social commerce in the context of grocery retailing service based on the theoretical framework of the Uses and Gratifications theory. The empirical data was collected from a Finnish social commerce website offering a social media environment for social commerce in grocery services. Based on both survey data and clickstream data, we found that i) individuals are motivated to use social commerce in grocery retailing service mainly due to their utilitarian gratification in using it as social commerce platform can meet their functional needs;ii) social gratification plays weak role in determining social commerce in grocery retailing service as individuals has less social needs compared to their functional needs in social commerce;and iii) hedonic gratification might be a potential reason as the hedonic needs seems to be very weak. The functions (searching for products and recipes, compiling shopping lists and online shopping, etc.) offered by the social commerce services meet individuals functional needs, and motivate them to use social commerce. Finally the limitations of the current research are discussed, and the directions for further research are also suggested.

关键词： Electronic commerce

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Creating embedded radiofrequency structures using polyjet material jetting 26

Creating embedded radiofrequency structures using polyjet ma...

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26th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2015

作者： Dumene, Richard L. Kennedy, Paul Williams, Christopher B. Sweeney, Dennis Earle, Greg Design Research and Education for Additive Manufacturing Systems Laboratory Department of Mechanical Engineering Virginia Tech United States Director of Instructional Laboratories Bradley Department of Electrical and Computer Engineering Center for Space Science and Engineering Research Bradley Department of Electrical and Computer Engineering

Embedding of integrated systems via Additive Manufacturing (AM) offers the potential to save weight, space, and time in the production of electronics and vehicles. Of specific interest are embedded electrical systems that operate in the radiofrequency (RF) range as they have great potential utility in communication systems and aircraft avionics including navigation. However, systems in this frequency range pose unique manufacturing challenges such as the need to minimize impedance discontinuities in the system. In this work, the authors explore various techniques for embedding RF structures such as antennas and filters via a multi-material jetting AM process. Specifically, the dielectric constants and loss tangents of Vero White and Tango Black polymers were determined to facilitate the design of RF structures with these materials. It is shown that measurements of S-parameters of the resultant embedded RF structures approach or match the performance of non-embedded electronics. © SFF *** rights reserved.

关键词： Embeddings

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The Emergence of Artificial Intelligence in Education and its Impact on Individual Literacy in Higher Education 7

The Emergence of Artificial Intelligence in Education and it...

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7th IEEE International Conference and Workshop Obuda on Electrical and Power engineering, CANDO-EPE 2024

作者： Farkas, Imre Kovari, Attila Rajcsanyi-Molnar, Monika Institute of Computer Engineering University of Dunaujvaros Department of Computer Systems and Control Technology Dunaujvaros Hungary Eszterházy Károly Catholic University Institute of Digital Technology Faculty of Computer Science Eger Hungary Institute of Electronics and Communication Systems Kandó Kalmán Faculty of Electrical Engineering Obuda University Budapest Hungary John Von Neumann University GAMF Faculty of Engineering and Computer Science Kecskemét Hungary Institute of Social Sciences University of Dunaujvaros Department of Economics and Management Dunaujvaros Hungary

ISBN: (纸本)9798331531119

In the last three years, a new partner has emerged for teachers and educators in the field of education. The mushrooming of applications based on large language models has greatly shaped the educational development fields of the present era. The use of various AI applications has become commonplace among students and teachers alike. Many questions are being raised by researchers in this field. What does the rapid development of AI applications bring to the field of pedagogy? Should the products of such applications be compared with human performance? The form presented in this thesis seeks to answer similar questions. What is the impact of frequent use of these applications on the literacy level of individuals? In which areas do students tend to use these applications? The results indicate that half of the students believe their literacy levels will decrease with the mass emergence of AI applications, while 36% feel it will not change. However, 88 % of students have already dealt with AI-based applications, with 64 % using them several times or more, suggesting a high level of integration into their educational processes. © 2024 IEEE.

关键词： Students

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Hyperparameter Tuned Deep Learning Enabled Cyberbullying Classification in Social Media

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computers, Materials & Continua 2022年第12期73卷 5011-5024页

作者： Mesfer Al Duhayyim Heba G.Mohamed Saud S.Alotaibi Hany Mahgoub Abdullah Mohamed Abdelwahed Motwakel Abu Sarwar Zamani Mohamed I.Eldesouki Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Electrical Engineering College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computers and Information Computer Science DepartmentMenoufia UniversityEgypt Research Centre Future University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl KharjSaudi Arabia

Cyberbullying(CB)is a challenging issue in social media and it becomes important to effectively identify the occurrence of *** recently developed deep learning(DL)models pave the way to design CB classifier models with maximum *** the same time,optimal hyperparameter tuning process plays a vital role to enhance overall *** study introduces a Teacher Learning Genetic Optimization with Deep Learning Enabled Cyberbullying Classification(TLGODL-CBC)model in Social *** proposed TLGODL-CBC model intends to identify the existence and non-existence of CB in social media ***,the input data is cleaned and pre-processed to make it compatible for further *** by,independent recurrent autoencoder(IRAE)model is utilized for the recognition and classification of ***,the TLGO algorithm is used to optimally adjust the parameters related to the IRAE model and shows the novelty of the *** assuring the improved outcomes of the TLGODLCBC approach,a wide range of simulations are executed and the outcomes are investigated under several *** simulation outcomes make sure the improvements of the TLGODL-CBC model over recent approaches.

关键词： Social media deep learning cyberbullying cybersecurity hyperparameter optimization

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Disaster tolerant computer and communication systems

Disaster tolerant computer and communication systems

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2nd International Conference on Cybernetics and Information Technologies, systems and Applications, CITSA 2005, Jointly with the 11th International Conference on Information systems Analysis and Synthesis, ISAS 2005

作者： Szygenda, Stephen A. Thornton, Mitchell A. Department of Engineering Management Information and Systems SMU Dallas TX 75275 United States Department of Computer Science and Engineering SMU DallasTX 75275 United States

ISBN: (纸本)9806560426

Disaster Tolerance is the characteristic attributed to a system that can withstand a catastrophic failure and still function with some degree of normality. Disaster tolerance of computer and communication systems is described and methods for modeling this form of system robustness are described. Definitions and descriptions of disaster tolerant computing and communications systems are provided and related to more familiar forms of system robustness such as fault tolerance. This paper concludes with a description of future areas of investigation for this new area of systems engineering.

关键词： Disasters

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Maintaining materialized views for data warehouses with multiple remote sources 1st

Maintaining materialized views for data warehouses with mult...

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1st International Conference on Web-Age Information Management, WAIM 2000

作者： Liang, Weifa Johnson, Chris Yu, Jeffrey X. Department of Computer Science The Australian National University CanberraACT0200 Australia Department Systems Engineering and Engineering Management Chinese University of Hong Kong Hong Kong

ISBN: (纸本)9783540676270

A data warehouse is a data repository which collects and maintains a large amount of data from multiple distributed, autonomous and possibly heterogeneous data sources. Often the data is stored in the form of materialized views in order to provide fast access to the integrated data. However, to maintain the data in the warehouse consistent with the source data is a challenging task in a multiple remote source environment. Transactions containing multiple updates at one or more sources further complicate the consistency issue. In this paper we first consider improving the refresh time of select-project-join (SPJ) type materialized views in a data warehouse by presenting a frequency-partitioned based algorithm, which takes into account the source update frequencies and the total space for auxiliary data. We then propose a solution in the design of data warehouses which can handle a variety of materialized views with different refreshment requirements. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Data warehouses

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State of the art in wireless sensor networks operating systems: A survey

State of the art in wireless sensor networks operating syste...

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2nd International Mega-Conference on Future Generation Information Technology, FGIT 2010

作者： Farooq, Muhammad Omer Aziz, Sadia Dogar, Abdul Basit Transmission Systems Research Group Jacobs University Bremen Germany Computer Engineering Department CASE Islamabad Pakistan Department of Computer Science Virtual University of Pakistan Lahore Pakistan

ISBN: (纸本)3642175686

This paper, presents a survey on current state of the art in Wireless Sensor Networks (WSNs) Operating systems (OSs). WSN is composed of miniature senor and resource constraint devices. WSN is highly dynamic network because nodes die out due to severe environmental conditions and battery power depletion. Stated characteristics of WSN impose additional challenges on OS design for WSN. Therefore;OS design for WSN deviates from traditional OS design. The purpose of this survey is to point out strengths and weaknesses of contemporary OS for WSNs, keeping in view the requirements of emerging WSNs applications. State of the art, in operating systems for WSNs has been examined in terms of Architecture, Scheduling, Threading Model, Synchronization, Memory Management, and Communication Protocol support. The examination of these features is performed for both real time and non real time operating systems for WSNs. We believe that this survey will help the network designers and programmers to choose the right OS for their network and applications. Moreover, pros and cons of different operating systems will help the researchers to design more robust OSs for WSNs. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Wireless sensor networks

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Optimal Deep Learning Model Enabled Secure UAV Classification for Industry 4.0

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computers, Materials & Continua 2023年第3期74卷 5349-5367页

作者： Khalid A.Alissa Mohammed Maray Areej A.Malibari Sana Alazwari Hamed Alqahtani Mohamed K.Nour Marwa Obbaya Mohamed A.Shamseldin Mesfer Al Duhayyim SAUDI ARAMCO Cybersecurity Chair Networks and Communications DepartmentCollege of Computer Science and Information TechnologyImam Abdulrahman bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Information Systems College of Computer ScienceKing Khalid UniversityAbhaSaudi Arabia Department of Industrial and Systems Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif P.O.Box 11099Taif21944Saudi Arabia Department of Information Systems College of Computer ScienceCenter of Artificial IntelligenceUnit of CybersecurityKing Khalid UniversityAbhaSaudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Biomedical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Mechanical Engineering Faculty of Engineering and TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

Emerging technologies such as edge computing,Internet of Things(IoT),5G networks,big data,Artificial Intelligence(AI),and Unmanned Aerial Vehicles(UAVs)empower,Industry 4.0,with a progressive production methodology that shows attention to the interaction between machine and human *** the literature,various authors have focused on resolving security problems in UAV communication to provide safety for vital *** current research article presents a Circle Search Optimization with Deep Learning Enabled Secure UAV Classification(CSODL-SUAVC)model for Industry 4.0 *** suggested CSODL-SUAVC methodology is aimed at accomplishing two core objectives such as secure communication via image steganography and image ***,the proposed CSODL-SUAVC method involves the following methods such as Multi-Level Discrete Wavelet Transformation(ML-DWT),CSO-related Optimal Pixel Selection(CSO-OPS),and signcryption-based *** proposed model deploys the CSO-OPS technique to select the optimal pixel points in cover *** secret images,encrypted by signcryption technique,are embedded into cover ***,the image classification process includes three components namely,Super-Resolution using Convolution Neural Network(SRCNN),Adam optimizer,and softmax *** integration of the CSO-OPS algorithm and Adam optimizer helps in achieving the maximum performance upon UAV *** proposed CSODLSUAVC model was experimentally validated using benchmark datasets and the outcomes were evaluated under distinct *** simulation outcomes established the supreme better performance of the CSODL-SUAVC model over recent approaches.

关键词： Unmanned Aerial Vehicles Artificial Intelligence emerging technologies Deep Learning Industry 4.0 image steganography

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Design of QoS Aware Routing Protocol for IoT Assisted Clustered WSN

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computers, Materials & Continua 2022年第5期71卷 3785-3801页

作者： Ashit Kumar Dutta S.Srinivasan Bobbili Prasada Rao B.Hemalatha Irina V.Pustokhina Denis A.Pustokhin Gyanendra Prasad Joshi Department of Computer Science and Information Systems College of Applied SciencesAlmaarefa UniversityRiyadh13713Kingdom of Saudi Arabia Saveetha School of Engineering Saveetha Institute of Medical and Technical SciencesSaveetha NagarThandalamChennai602105India Department of Electrical and Electronics Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Electronics and Communication Engineering Thirumalai Engineering CollegeKancheepuram631551India Department of Entrepreneurship and Logistics Plekhanov Russian University of Economics117997MoscowRussia Department of Logistics State University of Management109542MoscowRussia Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea

In current days,the domain of Internet of Things(IoT)and Wireless Sensor Networks(WSN)are combined for enhancing the sensor related data transmission in the forthcoming networking *** and routing techniques are treated as the effective methods highly used to attain reduced energy consumption and lengthen the lifetime of the WSN assisted IoT *** this view,this paper presents an Ensemble of Metaheuristic Optimization based QoS aware Clustering with Multihop Routing(EMOQoSCMR)Protocol for IoT assisted *** proposed EMO-QoSCMR protocol aims to achieve QoS parameters such as energy,throughput,delay,and *** proposed model involves two stage processes namely clustering and ***,the EMO-QoSCMR protocol involves crossentropy rain optimization algorithm based clustering(CEROAC)technique to select an optimal set of cluster heads(CHs)and construct ***,oppositional chaos game optimization based routing(OCGOR)technique is employed for the optimal set of routes in the IoT assisted *** proposed model derives a fitness function based on the parameters involved in the IoT nodes such as residual energy,distance to sink node,*** proposed EMOQoSCMR technique has resulted to an enhanced NAN of 64 nodes whereas the LEACH,PSO-ECHS,E-OEERP,and iCSHS methods have resulted in a lesser NAN of 2,10,42,and 51 *** performance of the presented protocol has been evaluated interms of energy efficiency and network lifetime.

关键词： Internet of things wireless sensor networks clustering routing metaheuristics cluster head selection QoS parameters

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