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检索条件"任意字段=2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013"

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Frontal Face Tracking in the Thermal Infrared Imaging for Autism Spectrum Disorder Children

Frontal Face Tracking in the Thermal Infrared Imaging for Au...

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ieee international conference on control system, computing and engineering (iccsce)

作者： M.A Rashidan S.N Sidek H.M Yusof A.S Ghazali N Rusli Department of Mechatronics Kulliyyah of Engineering International Islamic University Malaysia 53100 Jalan Gombak Kuala Lumpur Malaysia ProStrain Technologies 1-10 HIVE 12 Taman Teknologi MRANTI Bukit Jalil Kuala Lumpur Malaysia

The research and application of therapeutic robotics for children have gained significant attention. This study introduces a system for emotion recognition in Autism Spectrum Disorder (ASD) children that utilizes infrared thermal imaging cameras to capture the frontal facial images. The paper focuses on the development to automate, recognize and track the subjects frontal face using the Shape-Adapted Mean Shift algorithm (SAMShift) applied to thermal images. This system targets the identification of affective states in ASD children and employs non-invasive thermal imaging instead of invasive sensor patches. By integrating tracking and affective state analysis within a single modality, the system addresses the limitations of traditional visual-based systems, which often suffer from invasiveness due to the use of sensor patches, difficulty in automating and tracking facial features, and challenges in accurately identifying affective states. The SAMShift algorithm, implemented in the LabVIEW® vision module environment, is utilized for tracking the frontal face image. Experimental results demonstrate the effectiveness of the proposed method, achieving an average accuracy of 89.20% and an average precision of 95.40%. This research contributes to advancing the field of therapeutic robotics for children with ASD by providing an automated, non-invasive, and accurate approach to emotion recognition.

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Modernizing Home Protection: An IoT-Driven Approach with Smart Lock and Android Application

Modernizing Home Protection: An IoT-Driven Approach with Sma...

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ieee international conference on control system, computing and engineering (iccsce)

作者： Summaiya Rajput Noureen Talpur Rozan Boudville Ghulam Mustafa E Abro Beenish Talpur Faizan Zahid Department of Telecommunications Engineering Mehran University of Engineering and Technology Jamshoro Pakistan Computer Information Science Department Centre for Research in Data Science (CeRDaS) Universiti Teknologi PETRONAS Seri Iskandar Malaysia Electrical Engineering Studies College of Electrical Engineering Universiti Teknologi MARA Permatang Pauh Pulau Pinang Malaysia Interdisciplinary Research Center for Aviation and Space Exploration King Fahd University of Petroleum and Minerals Dhahran Dammam Kingdom of Saudi Arabia Department of Electrical Electronics and Computer Engineering University of Catania Italy

ISBN: (数字)9798350364507

ISBN: (纸本)9798350364514

In the field of access control locks, conventional methods often require users to download applications with Bluetooth connectivity, and biometric measures such as fingerprints or face recognition that introduce challenges like access to only authorized parties, limited device accessibility and intricate registration processes. To address these challenges, the research paper presents an innovative IoT-based Smart Door Lock system, aiming to redefine access control. Diverging from traditional approaches, this system eliminates the need for application downloads and simplifies the complexities tied to biometrics. The core innovation lies in the simplicity of a user-friendly 4-digit PIN for primary access, prioritizing ease of use. To overcome real-time access constraints, the system introduces One-time Password (OTP) and One Touch Access (OTA) modes. These modes eliminate the intricacies linked with traditional methods, ensuring immediate and hassle-free access for both authorized and unauthorized users.

关键词： Technological innovation Databases Face recognition Process control Passwords Fingerprint recognition Extraterrestrial measurements Real-time systems Pins Reliability

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Sakanat: A Competent Mobile Application to Automate Real-Estate

Sakanat: A Competent Mobile Application to Automate Real-Est...

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ieee international conference on control system, computing and engineering (iccsce)

作者： Saeed Saud Sulaiman Al Qassabi N.R Wilfred Blessing Nooritawati Md Tahir College of Computing and Information Sciences University of Technology and Applied Sciences-Muscat Muscat Sultanate of Oman College of Computing and Information Sciences University of Technology and Applied Sciences-Ibri Ibri Sultanate of Oman Institute for Big Data Analytics and Artificial Intelligence (IBDAAI) Universiti Teknologi MARA Malaysia College of Engineering Universiti Teknologi MARA Malaysia Applied College Princess Nourah Bint Abdul Rahman University (PNU) Riyadh Saudi Arabia

ISBN: (数字)9798350364507

ISBN: (纸本)9798350364514

The traditional methods of searching for flats are often inefficient and lack necessary features, making it difficult for both landlords and tenants to find what they are looking for. The “Sakanat” mobile application is designed to bridge this gap by offering a user-friendly platform for property listing, searching, and management. Landlords can easily upload details, photos, and set rental terms, while tenants can efficiently find suitable flats based on various criteria using advanced search filters. Rent payments can be made directly through the app using a secure payment gateway, and tenants can also access a variety of additional services such as maintenance companies and flat transfer services. Sakanat leverages Flutter for cross-platform app development and Firebase for backend services and data storage. Development will prioritize user-friendliness, performance, and security. By facilitating connections between landlords and tenants, simplifying rent collection, and offering valuable additional services, Sakanat has the potential to revolutionize the flat rental experience.

关键词： Filters Scalability Memory Transforms Logic gates control systems Mobile applications Maintenance Stakeholders Security

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Empowering Small and Medium Enterprises with Data Analytics for Enhanced Competitiveness

Empowering Small and Medium Enterprises with Data Analytics ...

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ieee international conference on control system, computing and engineering (iccsce)

作者： Aissa Mosbah Musab A. M. Ali Nooritawati Md Tahir College of Commerce and Business Administration Dhofar University Salalah Oman College of Computing and Information Sciences University of Technology and Applied Sciences Ibri Sultanate of Oman Department of Computer Engineering and Information Security International Information Technology University Almaty Kazakhstan School of Electrical Engineering College of Engineering Universiti Teknologi MARA Malaysia Institute for Big Data Analytics and Artificial Intelligence (IBDAAI) Universiti Teknologi MARA Malaysia

In today’s competitive landscape, Small and Medium-sized Enterprises (SMEs) are increasingly embracing business data analytics to gain valuable insights and make informed decisions. However, the true essence of big data lies not only in its volume but also in the analysis process and the derived insights that aid managers in making effective business choices. Despite this, limited knowledge exists regarding SMEs’ utilization of data analytics and its potential in facilitating informed decision-making. Therefore, this paper aims to elucidate the concept of business data analytics within the context of SMEs and outline the essential requirements for its effective implementation, enabling SMEs to leverage data analytics for enhanced competitiveness. It is proposed that the foundation of a successful data analytics system for SMEs should encompass four key elements: data, people, technology, and process. The degree to which data analytics contributes to a firm’s competitiveness is largely influenced by four factors: data quality, well-defined objectives, the caliber of analytic tools and techniques, and analytical skills. Data generates information and insights, which in turn foster knowledge that ultimately leads to wisdom. However, due to limited resources, SMEs may be less inclined to engage in advanced predictive and prescriptive analytics compared to larger firms.

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Recent Constraints and Challenges in Battery Management system of EVs – A Brief Review

Recent Constraints and Challenges in Battery Management Syst...

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ieee international conference on control system, computing and engineering (iccsce)

作者： Faizan Zahid Ghulam E Mustafa Abro Rozan Boudville Noureen Talpur Summaiya Rajput Department of Electrical Electronics and Computer Engineering University of Catania Italy Interdisciplinary Research Centre for Aviation and Space Exploration King Fahd University of Petroleum andMinerals Dhahran Saudi Arabia Electrical Engineering Studies College of Electrical Engineering Universiti Teknologi MARA Permatang Pauh Pulau Pinang Malaysia Computer Information Science Department Centre for Research in Data Science (CeRDaS) Universiti Teknologi PETRONAS Seri Iskandar Malaysia Department of Telecommunications Engineering Mehran University of Engineering and Technology Jamshoro Pakistan

ISBN: (数字)9798350364507

ISBN: (纸本)9798350364514

As world embark on the revolution in electric vehicles, battery management systems (BMS) represent the center of technological innovation. Through a thorough analysis of academic publications from the prestigious Scopus database, our study reveals several critical issues that BMS technology faces. Our findings provide light on the significant challenges faced, from enhanced data security and accurate temperature control to real-time state estimates. Nonetheless, concealed within these difficulties are the keys to unleashing the whole possibilities of electric cars: smooth charging, enhanced longevity estimates, and stable power availability. In the midst of inventiveness gone wild, sustainability lurks, raising the difficult problem of battery disposal. This study provides an in-depth exploration of the complexities inside BMS, serving as a beacon of guidance. By taking immediate action to address these issues, we clear the path for an era in which electric cars—driven by their superior performance and increased efficiency—will predominate.

关键词： Technological innovation Reviews Databases Data security Battery management systems Electric vehicles Real-time systems Temperature control Sustainable development Faces

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Influential Factors Shaping Purchase Intentions Among Malaysian Generation Z Consumers During Flash Sales Promotions

Influential Factors Shaping Purchase Intentions Among Malays...

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ieee international conference on control system, computing and engineering (iccsce)

作者： Jia Jia Sim Yoke Teng Saw Ley Hui Tin Siu Hong Loh Universiti Tunku Abdul Rahman Kampar Malaysia

ISBN: (数字)9798350364507

ISBN: (纸本)9798350364514

This study employs the Theory of Reasoned Action (TRA) to elucidate the relationship between key factors and the purchase intentions of Malaysian Generation Z consumers during online flash sales promotions. The research framework posits utilitarian value (UV) and hedonic value (HV) as components shaping consumer attitudes, while informational influence (II) and normative influence (NI) contribute to subjective norms. Additionally, perceived perishability (PP) and perceived scarcity (PS) are considered to capture the effects of flash sales strategies. Subsequently, six hypotheses are formulated. A quantitative approach is adopted, involving the distribution of questionnaires to 280 respondents within the 1625 age range, representative of Generation Z in Malaysia. Preliminary findings from this study indicate the viability of the research, with data analysis conducted using SmartPLS software. Results reveal significant impacts of UV, HV, II, PP and PS on the purchase intentions (PI) of Malaysian Generation Z during online flash sales promotions. However, NI demonstrates no significant effect. This study offers valuable insights for both researchers and marketers, informing future endeavors aimed at optimizing online flash sales promotions.

关键词： Data analysis Correlation Promotion - marketing control systems Software

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Integrating AI-Driven Robust control Algorithm with 3D Hand Gesture Recognition to Track an Underactuated Quadrotor Unmanned Aerial Vehicle (QUAV)

Integrating AI-Driven Robust Control Algorithm with 3D Hand ...

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ieee international conference on control system, computing and engineering (iccsce)

作者： Ibrahim Emad Al-Shayeb Ghulam E Mustafa Abro Fawad Salam Khan Rozan Boudville Ayman M. Abdallah Control and Instrumentation Engineering Dept. King Fahd University of Petroleum and Minerals-KFUPM Dhahran Saudi Arabia Interdisciplinary Research Center for Aviation and Space Exploration King Fahd University of Petroleum and Minerals-KFUPM Dhahran Saudi Arabia Department of Creative Technologioes Air University Islamabad Pakistan Electrical Engineering Studies College of Electrical Engineering Universiti Teknologi MARA Permatang Pauh Pulau Pinang Malaysia Aerospace Engineering Dept. King Fahd University of Petroleum and Minerals-KFUPM Dhahran Saudi Arabia

ISBN: (数字)9798350364507

ISBN: (纸本)9798350364514

The aviation sector has seen several modifications, most of which are connected to autopilot systems. In the current era of artificial intelligence (AI), robust control algorithms can be tuned for optimal accuracy by utilizing AI’s power. To adjust the control system for controlling the drone, this publication suggests combining the Reinforcement Learning algorithm with the ability to recognize 3D hand gestures as input. This study uses Deep Deterministic Policy Gradient (DDPG) in conjunction with 3D hand gesture recognition to determine the optimal reward and transfer the processed input to proportional integral derivative (PID) control. This method demonstrated how an AI-powered control algorithm can enhance an underactuated quadrotor unmanned aerial vehicle’s (UAV) ability to fly and hover. In addition to simulation data, the study includes hardware results that were verified with a DJI Tello Drone. When compared to a typical PID flight controller, the examination of the findings shows that the new design framework provides better accuracy and computing time. Six reward functions normalized between 0 and -4000, have been estimated for training episodes of 2500, 5000, 7500, and 10,000. The greatest observation, wherein the rewards are computed for maximum value, has been recorded on 2500 episodes.

关键词： Training Robust control Three-dimensional displays PI control Navigation Gesture recognition Reinforcement learning Autonomous aerial vehicles PD control Quadrotors

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Analyzing Model Order Estimation in Industrial Hydraulics system using Open Loop Identification

Analyzing Model Order Estimation in Industrial Hydraulics Sy...

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ieee international conference on control system, computing and engineering (iccsce)

作者： Nur Husnina Mohamad Ali Rozaimi Ghazali Nayli Rahzani Hazriq Izzuan Jaafar Muhammad Fadli Ghani Chong Chee Soon Fakulti Teknologi dan Kejuruteraan Elektrik Universiti Teknikal Malaysia Melaka Melaka Malaysia Department of Control and Mechatronics Engineering School of Electrical Engineering Universiti Teknologi Malaysia Johor Malaysia Department of Engineering and Built Environment Tunku Abdul Rahman University of Management and Technology (TAR UMT) Pulau Pinang Malaysia

ISBN: (数字)9798350364507

ISBN: (纸本)9798350364514

This paper employs system identification to characterize Industrial Hydraulics system (IHS) system using an open-loop method. It utilizes a black box approach for estimating the model and parameters of the system using MATLAB system Identification Toolbox. The paper presents three data sets and validates the estimated model using statistical methods such as percentage best fit, Root Mean Square Error (RMSE), histogram analysis, and correlation analysis. The process began by obtaining the input-output data from the experimental work. The validation results obtained from the input-output data reveals an average best fit percentage for the three data sets is approximately $85 \%$. The data sets show small RMSE values, histogram analysis reveals a Gaussian distribution and strong evidence of the validity of the IHS model in the correlation analysis. Various orders of analysis were conducted, with the results indicating that a third-order linear system offers the closest representation of the IHS. The IHS has been modeled and validated using black box system identification has proven successful as there is no significant disparity in the outcomes.

关键词： Analytical models Histograms Correlation Computational modeling Hydraulic systems Gaussian distribution systems modeling Mathematical models Data models system identification

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Optimizing Photovoltaic systems for Power Losses Reduction under Time-Varying Loads: A Coyote Optimization Approach

Optimizing Photovoltaic Systems for Power Losses Reduction u...

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ieee international conference on control system, computing and engineering (iccsce)

作者： S.S.M. Isa M. N. Ibrahim A. M. Ahmad S. Nordin N. Y. Dahlan H. F. B. Jamahori Electrical Engineering Studies College of Engineering Universiti Teknologi MARA Cawangan Pulau Pinang Permatang Pauh Malaysia Solar Research Institute (SRI) Universiti Teknologi MARA Shah Alam Malaysia Faculty of Engineering Built Environment and IT Mahsa University Bandar Saujana Putra Jenjarom Selangor Malaysia

ISBN: (数字)9798350364507

ISBN: (纸本)9798350364514

Integrating photovoltaic (PV) systems into power grids is essential for mitigating power losses and improving grid stability, especially under conditions of significant time-varying loads. This research examines the optimization of the placement and sizing of PV systems to minimize power losses under these dynamic conditions, contrasting with previous studies that utilized constant load models. The research employs the Coyote Optimization Algorithm (COA) using real-world load and PV generation data, focusing on industrial, residential, and commercial loads. The results indicate that COA reduces power losses by $13.45 \%, 20.03 \%$ and 31.27% under industrial, residential and commercial loads respectively compared to the base case PV system. The optimal PV location was consistently found to be at bus 6, while the optimal PV size varied across load types. Additionally, there is a notable improvement in voltage profiles across all load types. This research offers valuable insights into developing efficient and reliable grid-connected PV systems, highlighting the potential of COA in enhancing system performance through load-specific optimization strategies.

关键词： Photovoltaic systems Electric potential system performance Power system dynamics Power system stability Stability analysis Reliability Voltage control Optimization Time-varying systems

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Analysis of Logic Synthesis Results with various Technology Nodes for RISC-V Design

Analysis of Logic Synthesis Results with various Technology ...

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ieee international conference on control system, computing and engineering (iccsce)

作者： Siu Hong Loh Yenn Nee Koay Kim Ho Yeap Jia Jia Sim Universiti Tunku Abdul Rahman Kampar Malaysia

ISBN: (数字)9798350364507

ISBN: (纸本)9798350364514

This study investigates the synthesis process of a RISC-V processor with varying technology nodes ($14 \mathrm{~nm}, 32 \mathrm{~nm}$, and 90 nm) and clock periods ranging from 0 to 5 nanoseconds. The problem statement is to address the limited availability of processor designs using the RISC-V ISA in undergraduate study, even though the RISC-V community is growing rapidly. This shortage is due to the relatively recent development of the ISA. The analysis initiates by considering design constraints, such as clock frequency, area limitations, and timing requisites specific to each technology node. Utilizing the Design Compiler tool, the Register Transfer Level (RTL) description of the RISC-V processor is transformed into a gate-level netlist. Performance metrics including clock period requirements, and slack margins across technology nodes are scrutinized. Power consumption of the processor is assessed at various clock intervals to gain insights into its power profile. Additionally, to enhance designs for each technology node, processor area consumption is thoroughly examined. This paper delineates an approach applicable to VLSI design courses at the undergraduate level.

关键词： Technological innovation Power demand Very large scale integration Energy efficiency Timing Registers Resource management Voltage control Optimization Clocks

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