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检索条件"机构=Mobile Application & Technology Program Computer Science Department School of Computer Science"

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Research on Improved Quick Sort Algorithm with Duplicate Value Handling 8

Research on Improved Quick Sort Algorithm with Duplicate Val...

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8th International Conference on I-SMAC (IoT in Social, mobile, Analytics and Cloud), I-SMAC 2024

作者： Hemin Yadav, Amit Khan, Asif Sah, Abhishek Pratap Chengdu Neusoft University College of Computer and Software Chengdu China Charles Darwin University College of Engineering It and Environment NT Australia Integral University Department of Computer Application Lucknow India University of Electronic Science and Technology of China School of Management Science and Engineering Chengdu China

ISBN: (纸本)9798350376425

An improved algorithm based on Quick Sort algorithm research method is proposed to deal with prevailing duplicate values in the sorting of data. The duplicate values are specially processed, which effectively reduces the number of division and greatly reduces the number of recursions. The experimental results show that the time efficiency is improved by more than 50% when dealing with large data than the traditional Quick Sort algorithm without reducing the space efficiency. © 2024 IEEE.

关键词： Duplicate Value Quick Sort Recursion

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A Comparative Analysis of User Experience and Educational Outcomes in Math Memory Games

A Comparative Analysis of User Experience and Educational Ou...

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International Conference on computer Engineering, Network and Intelligent Multimedia (CENIM)

作者： Nicholas Martin Raffel Nathanael Doni Jeriyanto Eric Savero Hermawan Janshen Fung Francisco Maruli Panggabean Computer Science Department Game Application & Technology Program School of Computer Science Bina Nusantara University Jakart Indonesia Master of Computer Science Binus Graduate Program Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350368802

ISBN: (纸本)9798350368819

This research explores multiple varieties of effective and child-friendly learning approaches for mathematics and memorization among young children in today's increasingly digital age considering their specific developmental needs. This type of approach includes in-person teaching, engaging online videos, interactive textbooks, and innovative educational games. This research employs a detailed comparative analysis, considering both ‘User Experience’ and measurable learning outcome factors, and spans a range of age groups from preschoolers to elementary school children. Through highlighting the strengths and weaknesses of each method, this research aims to inspire the adoption of efficient, child-centric, and novel teaching techniques by educators and institutions, thereby advancing the quality of education in Indonesia. The results show that using serious game in education presents high usefulness score alongside positive user experience, suggesting its viability for educational purposes.

关键词： Measurement Video games Education Games Educational technology Information age User experience Mathematics Usability Systematic literature review

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The Effect of Viewpoint Change Strategies on Multi-View Video and Audio Transmission QoE Over ICN/CCN 38

The Effect of Viewpoint Change Strategies on Multi-View Vide...

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38th IEEE Region 10 Conference, TENCON 2023

作者： Nunome, Toshiro Takada, Yoshiyuki Computer Science Program Graduate School of Engineering Nagoya Institute of Technology Department of Engineering Nagoya466-8555 Japan

ISBN: (纸本)9798350302196

In this paper, we exploit caches on intermediate nodes for QoE enhancement of multi-view video and audio transmission over ICN/CCN by controlling the content request start timing of consumers. We assume the selected single viewpoint transmission method;a consumer receives video and audio streams of a requested viewpoint. We perform a simple experiment with two consumers. When the consumers play video and audio with the time difference, we assess the effect of cached content by the former consumer's request on the output quality of the latter consumer. We deal with two types of viewpoint change strategies for the former consumer, which affect the efficiency of cache utilization. From the assessment results, we see that cache utilization has an important factor in enhancing QoE. © 2023 IEEE.

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The Effect of Bitrate Control Methods of MPEG-DASH Streaming on Multi-View Video and Audio QoE

The Effect of Bitrate Control Methods of MPEG-DASH Streaming...

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2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Nunome, Toshiro Wakayama, Yamato Nagoya Institute of Technology Computer Science Program Department of Engineering Graduate School of Engineering Nagoya466-8555 Japan

ISBN: (纸本)9798350324174

This paper investigates the effect of bitrate control methods on QoE of multi-view video and audio streaming with MPEG-DASH. We adopt three bitrate control methods for conventional single-view video streaming to the MVV-A system with MPEG-DASH. We conduct a subjective experiment changing available network bandwidth and investigate the effect of the methods on QoE. © 2023 IEEE.

关键词： Video streaming

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QoE Assessment of Audiovisual Streaming over a Full-Duplex Wireless LAN with Interference Traffic

QoE Assessment of Audiovisual Streaming over a Full-Duplex W...

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2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Nunome, Toshiro Deguchi, Daiki Graduate School of Engineering Nagoya Institute of Technology Computer Science Program Department of Engineering Nagoya466-8555 Japan

ISBN: (纸本)9798350324174

This paper evaluates the QoE of video and audio transmission over a full-duplex wireless LAN with interference traffic through a computer simulation and a subjective experiment. We employ a simulation environment with a pair of audiovisual transmission and reception terminals and a pair of interference traffic transmission and reception ones. We investigate the effect of the transmission rate of interference traffic and communication distance in a wireless channel on the output quality of the video and audio stream at the reception terminal. We perform a subjective experiment with the output timing of video and audio obtained by the simulation. © 2023 IEEE.

关键词： Wireless local area networks (WLAN)

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A Novel based Hybrid smart System for detecting the cyber-attacks on IOT's

A Novel based Hybrid smart System for detecting the cyber-at...

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2023 International Conference on Artificial Intelligence and Smart Communication, AISC 2023

作者： Gnanaselvi, K. Juliana Shukla, Surendra Kumar Kumar, Keerthipati Gehlot, Anita Jaiswal, Tarun Geetha, B.T. Rathinam College of Arts and Science Department of Computer Science Tamil Nadu Coimbatore India Graphic Era Deemed to Be University Department of Computer Science and Engineering Uttarakhand Dehradun India University of Technology and Applied Science Department of Information Technology Al Masnaah Oman Uttaranchal University Uttaranchal Institute of Technology India Department of Computer Application India Saveetha School of Engineering Simats Department of Ece Tamil Nadu India

ISBN: (纸本)9798350322309

The Iot technology (IoT) is rapidly advancing sufficiently that it might have a larger effect on huge industrial infrastructure and everyday routines. However, this became the focus of fraudsters, whom made IoT into such a prey for their misbehaviour, thereby potentially opening the door for an assault on the computer systems. Have used a traditional intrusion detection device to manage the Iot network is problematic because of the enormous variety and quantity of IoT devices. A revolutionary aggregation Interdisciplinary Detection System (HIDS) that merges a C5 predictor with the a One Category Classification Algorithm is built to guard IoT devices. It project's goal is to find threats that can be inhibited with high classification certainty and low completely bogus rates, for both storing and accessing and negligible vulnerabilities. The User database, consisting includes include legal IoT data stream and other varieties of assaults, is employed to assess the specified HIDS. Studies show that when combined with SIDS and Assistance methodologies, the proposed hybrid IDS provides a higher accuracy results and a smaller percentage of false positives. © 2023 IEEE.

关键词： Fault detection

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Real-Time Monitoring and Control Systems Using IoT-Integrated Wireless Sensor Networks-Leveraging Machine Learning Algorithms for Enhanced Performance and Efficiency

Real-Time Monitoring and Control Systems Using IoT-Integrate...

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2024 International Conference on Cybernation and Computation, CYBERCOM 2024

作者： Swaminathan, Subbiah Poongavanam, N. Arun, M. Pushparani, S. Muthukrishnan, A. Johri, Prashant Rajalakshmi Engineering College Department of Information Technology Tamil Nadu Chennai India Saveetha University Department of Computer Science and Engineering Chennai602105 India Panimalar Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India Meenakshi College of Engineering Department of Computer Science and Engineering Tamil Nadu Chennai600 078 India Vel Tech Rangarajan Dr. Sagunthala R and D Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Avadi Chennai India School of Computer Application and Technology Galgotias University India

ISBN: (纸本)9798331542344

This paper introduces a developed real-Time monitoring and control system using Internet of Things (IoT) incorporated Wireless Sensor Networks (WSNs) supported by machines learning algorithms. The system focuses at meeting core issues and questions in terms of productivity, reliability and timeliness within evolving settings. The current paper contributes to the ongoing research and development in the area of IoT and WSN to enable, always-on real-Time data gathering from a variety of discrete sensors which is invaluable for various applications including industrial, environmental and smart city applications. The heart of the system is based on the idea of utilising machine learning methods to acquire and elaborate sensor signals. More specifically, the deep learning models that are used include Long Short-Term Memory (LSTM) networks as well as Reinforcement Learning (RL) algorithms for predictive analytics, as well as anomaly detection. The work also entails a comparison of the system performance based on energy consumption and other factors such as latency, packet delivery ratio and even the accuracy of the predictions made by the system. The findings suggest improved utilisation within substantial ranges;decreased energy use by 30 per cent or more. 7%, latency decrease by 33. Although achieving this was accompanied by an increased data packet loss rate to 3%, the overall packet delivery ratio was boosted to 98%. Additionally, the system established overall accuracy rate of 95% with negligible error percentage. In conclusion, this research proves the applicability of incorporating the IoT and the advanced machine learning methods in the real-Time monitoring and control systems development to overcome cases of low efficiency and reduced performance in numerous real-world applications. © 2024 IEEE.

关键词： Predictive analytics

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SVM-Guided Dynamic Routing for Post-Harvest Quality Preservation in Smart Warehouses with IoT 3

SVM-Guided Dynamic Routing for Post-Harvest Quality Preserva...

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3rd International Conference for Innovation in technology, INOCON 2024

作者： Umamaheswari, K. Antony Joseph Rajan, D. Ramasamy, Jayabharathi Seeni, Senthil Kumar Meenakshi, R. Thamizhamuthu, R. VR. Siddhartha Engineering College Department of Electronics and Instrumentation Engineering Andhra Pradesh Vijayawada India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Computer Science and Engineering Tamil Nadu Chennai India Rmk College of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Cognizant Technology Solutions Department of Mobile Application Development Buffalo GroveIL United States Chennai Institute of Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Srm Institute of Science and Technology Department of Computing Technologies Kattankulathur Campus-Chengalpattu Tamil Nadu Chennai India

ISBN: (纸本)9798350381931

This research presents a new approach to smart warehouse quality preservation after harvest by combining the Internet of Things (IoT) with Support Vector Machine (SVM)-guided dynamic routing. Preserving the quality of harvested goods during storage and transportation is of utmost importance in today's agricultural supply chain. Critical characteristics like temperature and humidity are monitored using real-time data acquired from sensors via the IoT. It uses the SVM algorithm to optimize the items' route dynamically according to the changing environmental conditions. The adaptable and efficient flow of agricultural goods throughout the warehouse is guaranteed by this dynamic routing method, which is led by SVM decision-making. A number of aspects that impact quality preservation, the method lessen the possibility of degradation during transit and storage. The effectiveness of the suggested strategy is supported by simulation findings, which demonstrate better preservation of post-harvest quality in comparison to conventional approaches. Smart warehouses may benefit greatly from the combination of SVM and the IoT, which solves many problems in the agricultural supply chain and helps improve sustainable postharvest management. © 2024 IEEE.

关键词： Sensor networks

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Understanding Fun in Cooking: Preliminary Study of Serious Games on Cooking Domain

Understanding Fun in Cooking: Preliminary Study of Serious G...

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International Conference on Information technology Systems and Innovation (ICITSI)

作者： Steven Andrew Halim Jalaluddin Rumi Galih Dea Pratama Dimas Ramdhan Game Application & Technology Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331511470

ISBN: (纸本)9798331511487

Cooking is an important life skill to master. Despite the importance, a study suggests that there is a decline in cooking skills between generations. In accordance with that, serious games emerge as a form of solution which has purposes to solve the problems in an entertaining way. Serious games are often presented to solve numerous real-life problems, such as education, medical, and even culinary. This literature review studies a few of the many benefits of serious games that may help solve problems in the realm of cooking. The study focuses primarily on cooking serious games due to their capabilities to solve problems in an entertaining manner. The result indicates that there are positive benefits in utilizing serious games to solve certain problems not only in cooking, but also other issues such as cognitive skills. The findings from this research are intended to be the preliminary in developing serious game to compensate the problem from cooking domain.

关键词： Technological innovation Education Entertainment industry Games Serious games Complexity theory Usability Older adults Information technology Systematic literature review

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Design of Deep Learning Models for the Identification of Harmful Attack Activities in the Industrial Internet of Things (IIOT) 10

Design of Deep Learning Models for the Identification of Har...

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10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and computer Engineering, UPCON 2023

作者： Rajesh, M. Vincent, Rajiv Kathuria, Sakshi Jamalpur, Bhavana Durgam, Thirupathi Jaiswal, Tarun School of Computer Science and Engineering Vellore Institute of Technology Chennai India K. R. Mangalam University University Computer Science and Engineering Haryana Gurugram India School of Computer Science and Artificial Intelligence Sr University Telangana Warangal India Ece India National Institute of Technology Department. of Computer Application C.G. Raipur India

ISBN: (纸本)9798350382471

Traditional industrial processes benefit greatly from the Industrial Internet of Things (IIoT), which increases efficiency as well as productivity. However, as IIoT becomes more connected, critical infrastructure is exposed to a variety of cyber risks. In order to accurately identify dangerous attack behaviors within IIoT systems, the present research focuses on the development and execution of deep learning models, combining recurrent neural networks (RNNs) including artificial neural networks (ANNs). The approach uses Python-based visualization techniques, model creation, and data pretreatment. By proactively identifying and mitigating cyber risks, our research seeks to strengthen IIoT security and ensure the resilience and honesty of industrial operations in a world that is becoming more linked. © 2023 IEEE.

关键词： Artificial Neural Networks (ANNs) Attack Identification Cyber Threat Detection Deep Learning Models IIoT Security Industrial Cyber security Recurrent Neural Networks (RNNs)

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