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Design and implementation of a dynamic reconfigurable classroom for cooperative learning

Design and implementation of a dynamic reconfigurable classr...

引用

3rd IEEE International Conference on Intelligent Networking and Collaborativesystems, INCoS 2011

作者： Kondo, Hideki Narahara, Hiroyuki Department of Mechanical Information Science and Technology Faculty of Computer Science and System Engineering Kyushu Institute of Technology Iizuka Japan

ISBN: (纸本)9780769545790

In order to practically examine a new type of class, in which cooperative learning is taken into consideration, we designed and built a classroom. This classroom, in which furniture and a flexible ICT basis are both designed reconfigurable, supports much more complex interactions between learners than in a traditional classroom. Two months' observation of the activities in the classroom shows that many aspects of the reconfigurations have encouraged complex interactions within cooperative learning. © 2011 IEEE.

关键词： Collaboration Cooperative Learning Dynamic Reconfigurable Classroom Dynamic scheduling Education Information science Materials Multicore processing Servers classroom furniture complex interaction computer aided instruction cooperative learning dynamic reconfigurable classroom flexible ICT furniture

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Speech segmentation using divergence algorithm with zero crossing property

Speech segmentation using divergence algorithm with zero cro...

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International Conference on computer and Information Technology

作者： Salam, M.S. Mohamad, Dzulkifli Salleh, S.H. Faculty of Computer Science and Information System Universiti Teknologi Malaysia Malaysia Faculty of Biomedical Engineering and Health Science Universiti Teknologi Malaysia Malaysia

ISBN: (纸本)9781424484973

Divergence algorithm is a statistical segmentation approach which finds segmentation point via detection of abrupt changes without any previous information of the acoustic signal. The approach could get high match of segmentation but also gives a lot of false segmentation points. This work introduced a property based on the usage of Zero Crossing Rate (ZCR) in enhancing segmentation by divergence algorithm. The work starts via optimizing divergence algorithm segmentation performance via parameters tuning. Then the proposed property based on ZCR is applied to divergence algorithm to reduce insertion points. The results of tuning divergence parameters achieved match rate of 99.4% at time tolerance of 0.09 seconds with 69% insertion rate occurrences in comparisons to reference points. The result in applying the introduced ZCR property to divergence algorithm shows that tuning of some ZCR property parameters could reduce insertion between 4% to 45%. However, it would also reduce the match rate. Nevertheless, the method could reduced insertion rate by 5.5% while maintaining match rate of 99.4%. ©2010 IEEE.

关键词： Parameter estimation

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Arabic Abstractive Summarization Using the Multilingual T5 Model 6

Arabic Abstractive Summarization Using the Multilingual T5 M...

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6th International Conference on Computing and Informatics, ICCI 2024

作者： Karim, Abdelrhman A. Usama, Mohammed Ibrahim, Manar A. Hatem, Youssef Wael, Waleed Mazrua, Ahmad T. El-Monayer, Ghada K. Elbanhawy, Magy Foad, Khaled Moawad, Ibrahim F. Artificial Intelligence Engineering Department Faculty of Computer Science and Engineering New Mansoura University Dakhlia Egypt Computer Engineering Department Faculty of Computer Science and Engineering New Mansoura University Dakhlia Egypt Artificial Intelligence Science Department Faculty of Computer Science and Engineering New Mansoura University Dakhlia Egypt Faculty of Computer Science and Engineering New Mansoura University Dakhlia Egypt Computer and System Department Faculty of Engineering Portsaid University Egypt Faculty of Computers and Artificial Intelligence Benha University Egypt Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt

ISBN: (纸本)9798350373875

Natural language processing (NLP) is a branch of artificial intelligence (Al) that enables computers to comprehend, generate, and manipulate human language. Natural language processing can interrogate the data with natural language text or voice. Abstractive Text Summarization is based on the Natural Language Processing technique that tries to provide new and more concise textual summaries for huge texts. Artificial intelligence and deep learning techniques are used in abstractive summarization to examine the text's essential information and create a new summary that conveys the content more concisely and accurately. This type of summary differs from normal extractive summarizing in that it can generate new summaries beyond simply extracting key lines from the source text. This study presents an abstractive Arabic summarization based on the Multilingual TS (MTS) model AASMTS to address these concerns. This technique is based on deep neural networks and models like transformers, which have changed the ability to summarize text. This research has explored the various types of summarizations and highlighted the significance of two prominent techniques: abstractive and extractive summarization. This research describes a complete process for developing an Arabic abstractive summarization model using the MTS architecture. Experiments on different datasets show that this model achieves state-of-the-art results across MTS. © 2024 IEEE.

关键词： Deep neural networks

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A method of haptic interaction for hoto-retouch tools

A method of haptic interaction for hoto-retouch tools

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2007 IEEE International Conference on systems, Man, and Cybernetics, SMC 2007

作者： Kagawa, Tsuneo Shimamura, Naoki Nishino, Hiroaki Utsumiya, Kouichi Faculty of Engineering Computer Science and Intelligent System Oita University 700 Dannoharu Oita City Japan

ISBN: (纸本)1424409918

Virtual reality technologies become very popular for many users. Advanced force feedback devices can realize tactile sensation in the virtual space. These devices are expected to bring advanced interactions between human and computer. On the other hand, photo retouch or painting softwares are also very popular. However, they can not always use these tools easily because operation are very complicated. In this paper, we discuss about a new advanced retouch tool with haptic (force feedback) interfaces. Users can utilise additional haptic information for image processing. By using a prototype of this tool, we discuss about a method of haptic rendering and display for image features. © 2007 IEEE.

关键词： Virtual reality

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Distributed real-equipment testing for the mobile communications services

Distributed real-equipment testing for the mobile communicat...

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2011 10th RoEduNet International Conference on Networking in Education and Research, RoEduNet 2011

作者： Cazacu, Virgil Iuga, Laura Balan, Titus Sandu, Florin Siemens Program and System Engineering Brasov Romania Faculty of Electrical Engineering and Computer Science Transilvania University Brasov Romania

ISBN: (纸本)9781457712333

The test activities performed during the life cycle of the telecommunication service development ensure the service quality and stability so necessary to achieve the maximum availability and reliability. The paper presents authors' contribution to remote and distributed testing for mobile communications services based on cloud computing assets and paradigms. The access solutions to the test methods were implemented for the GSM and GSM-R (Global system for Mobile - Railways) related Intelligent Networks services. The scalability and flexibility of the architecture allows to the proposed solution to be used, for both the production and the educational environments, to access the resources located on the different sites for the tests purpose. The concept of the remote test solution and the practical examples based on the remote tests with real equipments are presented in this paper. © 2011 IEEE.

关键词： Equipment testing

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The Development of Self-Service Application at Martabak Air Mancur Restaurant 4

The Development of Self-Service Application at Martabak Air ...

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4th International Conference on Computing and Applied Informatics 2019, ICCAI 2019

作者： Sagala, N.T.M. Andreas Putro, E. Department of Information System Faculty of Engineering and Computer Science Krida Wacana Christian University Jakarta Indonesia

The amount of time spent in requesting and waiting for the meal in Martabak Air Mancur restaurant may permanently multiply the number of customers in the line waiting especially during peak hours and on weekend. It will affect the quality service of the restaurant and the loyalty of the customer. From the observation, most of the customers spent a great deal of time making an order when faced with many proportionate choices. The study proposed a system by using self-service technology and the waterfall model. In the beginning, the time needed from making an order to finishing the payment is 15 minutes. The system built can reduce the transaction time to 10 minutes. © Published under licence by IOP Publishing Ltd.

关键词： Sales

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Employment of task scheduling based on water wave optimization in multi robot system 2

Employment of task scheduling based on water wave optimizati...

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2nd IEEE International Conference on Electronic engineering, ICEEM 2021

作者： Amer, Dina A. Attiya, Gamal Zeidan, Ibrahim Nasr, Aida A. Zagazig University Faculty of Engineering Computer and System Engineering Dept. Egypt Menoufia University Faculty of Electronic Engineering Computer Science and Engineering Dept. Egypt Tanta University Faculty of Computers and Information Egypt

ISBN: (纸本)9781665418423

The task allocation problem in a multi-robot system (MRS) may be characterized as the problem of assigning a set of tasks to a group of robots in order to improve some performance parameters. However, when many requests are received simultaneously by a robot, the current scheduling approaches may make unreasonable decisions, delaying the execution of some requests and so affecting the system performance. This paper addresses this issue and proposes a new scheduling mechanism for task allocation in MRS. The presented approach implements a universal allocation depend on Water Wave Optimization (WWO) algorithm with the Genetic Algorithm (WWO_GA). The result of this approach is compared with the conventional Water Wave Optimization (WWO) and the Particle Swarm Optimization (PSO) algorithms. Simulation results prove that the introduced approach enhances the performance of the multi-robot system in terms of total traveled distance and computation time. © 2021 IEEE.

关键词： Multipurpose robots

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Combination of CRITIC and PROMETHEE II Methods as An Early Detection of Potential Dropout Students 6

Combination of CRITIC and PROMETHEE II Methods as An Early D...

引用

6th International Conference on Information and Communications Technology, ICOIACT 2023

作者： Yusa, Mochammad Coastera, Funny Farady Rahmadani, Deni Sari, Julia Purnama Kusrini, Kusrini Hartanto, Anggit Dwi University of Bengkulu Faculty of Engineering Department of Informatics Bengkulu Indonesia University of Bengkulu Faculty of Engineering Department of Information System Bengkulu Indonesia Universitas Amikom Yogyakarta Magister of Informatics Engineering Faculty of Computer Science Yogyakarta Indonesia Universitas Amikom Yogyakarta Faculty of Computer Science Department of Information System Yogyakarta Indonesia

ISBN: (纸本)9798350315639

Dropout (DO) has negative implications for individuals and educational institutions. The field of education data mining (EDM) offers valuable contributions to prevent dropout cases and improve student retention. This study focuses on implementing EDM to identify students at risk of dropping out by integrating academic activity criteria with real-time data sources. Previous studies have encountered limitations in classification and clustering techniques, with classification relying on labeled training data (supervised learning) and clustering constrained by attribute or criteria weight (unsupervised learning). This study aims to address these limitations by combining the PROMETHEE II ranking approach and the CRITIC weighting method, producing a list of students with dropout potential. The results can aid stakeholders in implementing preventive measures. The study involves several steps: 1) Collecting data through integration with academic portals;2) Filtering and selecting criteria for student academic activities;3) Transforming and normalizing the data;4) Applying automatic weighting using CRITIC;5) Calculating criteria rankings using the PROMETHEE II technique;and 6) Validating the ranking outcomes. © 2023 IEEE.

关键词： Decision support systems

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Simulation of Bennet and Brassard 84 protocol with Eve's attacks 5

Simulation of Bennet and Brassard 84 protocol with Eve's att...

引用

5th International Conference on Photonics, ICP 2014

作者： Mohamed Halip, N. Hafizah Mokhtar, M. Buhari, A. Dept. of Computer and Communication System Engineering Faculty of Engineering Universiti Putra Malaysia Serdang Malaysia Faculty of Computer Science and Information Universiti Putra Malaysia Serdang Malaysia

ISBN: (纸本)9781479948833

A simulation of BB84 protocol of QKD using photonic simulator Optisystem is demonstrated. The simulation is divided into two categories which are without security attacks scenario and with several attacks scenario that consists of Intercept and Resend and sent new qubits. The simulation results meet the theory of BB84. This project is able to provide better understanding about the quantum key distribution process especially in BB84 protocol. © 2014 IEEE.

关键词： Quantum cryptography

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Instance-based Deep Transfer Learning on Cross-domain Image Captioning 21

Instance-based Deep Transfer Learning on Cross-domain Image ...

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21st International Electronics Symposium, IES 2019

作者： Perdana, Rizal Setya Ishida, Yoshiteru Toyohashi University of Technology Department of Computer Science and Engineering Toyohashi Japan Department of Information System Faculty of Computer Science Brawijaya University Malang Indonesia

ISBN: (纸本)9781728144498

Image captioning task achieves imposing result in generating text description of image by training on the large image and sentence pairs dataset (e.g., MSCOCO). Applied the large publicly available datasets to the specific new task will lead to the problem known as domain shifting due to the different probability distribution. In this research, we propose a Multimodal Instance-based Deep Transfer Learning (MIBTL) for cross-domain image captioning. Generally, transferring knowledge from the source domain into the target domain is pertinent due to the limited number of the dataset from the target domain. The limited number of the dataset also lead to a problem called overfitting. The instance-based strategy intuitively takes into account the influence of data by selecting the most representative data from source domain as the supplement for training on the target domain. We employ deep hash binary code representation of image and text pair to determine the distance between two data points. The experiment conducted by two types of transfer condition includes a slight shift (from MSCOCO to Flickr30k) and significant shift (from MSCOCO to CUB-200 and Oxford-102). The result shows that MIBTL can outperform other baselines to achieve state-of-the-art performance in cross-domain image captioning transfer learning. © 2019 IEEE.

关键词： Probability distributions

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