检索结果-内蒙古大学图书馆

2023 International Conference on Digital Applications, Transformation and Economy, ICDATE 2023

作者： Azmi, Azman Yahya, Farashazillah Moung, Ervin Gubin Sallehudin, Hasimi Utomo, Rio Guntur Azman, Nur Afrina Universiti Malaysia Sabah Advanced Machine Intelligence Research Lab Faculty of Computing and Informatics Sabah Kota Kinabalu Malaysia Universiti Malaysia Sabah Data Technologies and Application Research Lab Faculty of Computing and Informatics Sabah Kota Kinabalu Malaysia Universiti Kebangsaan Malaysia Centre for Software Technology and Management Faculty of Information Science and Technology Malaysia Telkom University School of Computing Bandung Indonesia Foundation Study and Language Institute University of Reading Malaysia Johor Iskandar Puteri Malaysia

ISBN: (纸本)9798350310689

The Covid-19 pandemic has impacted the world economy, and Malaysia is no exception. Due to the closure of businesses, the rate of unemployment has been recorded at an all-time high. The Malaysian Government through its agencies is assisting citizens through an online platform for incentives and an aid-giving platform. The current architecture of data sharing is using centralized, organization-oriented authentication and is not immutable for audit capability. In addition, the blockchain network is still a proof of concept in the digital government ecosystem. This paper studies the current aid data-sharing ecosystem and analyzes the potential of having a state government consortium blockchain framework that will be used in the Government Network Infrastructure for decentralized, transparent data sharing with audit capability. Several works involving Blockchain adoption based on domain, Blockchain consortium architecture and Government applications using blockchain are being presented. The need for a framework in implementing decentralized data sharing using consortium blockchain architecture for multi-agencies data sharing focusing on Malaysia Government Aid Management is discussed in this paper to provide the opportunity for the research domain. The findings in this paper will be used for future work on the requirement of a proposed government multi-layer consortium blockchain framework for data sharing in the Malaysian Government specifically for the Johore State Government ecosystem. © 2023 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

REAM: A Reinforcement Learning-based Energy-Efficient and Adaptive Multi-Modal Routing Protocol for Underwater Acoustic Networks

REAM: A Reinforcement Learning-based Energy-Efficient and Ad...

引用

2025 IEEE Wireless communications and Networking Conference, WCNC 2025

作者： Qadar, Rabia Qaim, Waleed Bin Tan, Bo Nurmi, Jari Tampere Wireless Research Centre Unit of Electrical Engineering Finland Unit of Computing Sciences Tampere University Faculty of Information Technology and Communication Sciences Tampere Finland

ISBN: (纸本)9798350368369

Enhancing reliability in dense underwater networks with hefty data traffic often raises energy consumption due to constant packet listening and retransmissions caused by packet loss. To address the challenging energy demand in Underwater Acoustic Sensor Networks (UASNs), we propose a Reinforce-ment learning (RL)-based Energy-efficient and Adaptive Multi-modal routing protocol abbreviated as REAM, that integrates Q-learning with multi-modal communication to enhance energy efficiency in underwater networks by adaptively selecting the optimal mode for packet transmission. We compare the performance of two variants of the proposed REAM protocol-REAM-MM, which uses two modems, and REAM-SM, which uses a single modem, against two other state-of-the-art protocols namely QELAR and MARLIN-Q. Our results demonstrate the effective-ness of using multiple modems instead of a single modem in reducing energy consumption and improving reliability. REAM-MM reduces energy consumption per bit by up to 81.2%, 79.6%, and 72.9% under low, medium, and high traffic scenarios, respec-tively, compared to the best-performing alternative, MARLIN-Q. REAM-MM achieves a consistently comparable Packet Delivery Ratio (PDR) to MARLIN-Q and a higher PDR than QELAR and REAM-SM. Additionally, it maintains the lowest energy consumption under all traffic conditions and dense networks. © 2025 IEEE.

关键词： Routing protocols

来源：评论

学校读者我要写书评

暂无评论

Gain Enhancement of Dual-Band Patch Antenna using EBG Array

Gain Enhancement of Dual-Band Patch Antenna using EBG Array

引用

Innovative computing, Intelligent communication and Smart Electrical Systems (ICSES), International Conference on

作者： Ali Alsayaghi Thennarasan Sabapathy Shanmuka Rooban Gunasekaran Muzammil Jusoh Mohamed Nasrun Osman Phaklen Ehkan Advanced Communication Engineering (ACE) Centre of Excellence Faculty of Electronic Engineering & Technology Universiti Malaysia Perlis (UniMAP) Arau Perlis Malaysia Centre of Excellence Advanced Computing (AdvComp) Faculty of Electronic Engineering &Technology Universiti Malaysia Perlis (UniMAP) Arau Perlis Malaysia

ISBN: (数字)9798331543624

ISBN: (纸本)9798331543631

In this paper, the analysis on the dual-band antenna deployed withelectromagnetic band gap (EBG) is proposed. The proposed EBG based dual-band antenna aims to maintain the S11 results below - 10 dB. Two rectangular patches were design and fed with a single port. With proper matching network using quarter wave length matching and power divider, these antennas are fed with electromagnetic (EM) wave. The proposeddesign operates at 2.4 and 3.3 GHz frequencies. Above the dual band antenna, an EBG surface is placed as superstrate to achieve gain enhancement. The EBG superstrate forms a gain enhancement two frequency bands. The gain is increased from 5.995 dBi to 6.466 dBiat 2.5 GHz band while from 3.195 dBi to 3.431 dBiat 3.3 GHz band.

关键词： Power dividers Wireless communication Surface waves Photonic band gap Dual band Metamaterials Gain Antennas Periodic structures Antenna arrays

来源：评论

学校读者我要写书评

暂无评论

Frequency Reconfigurable Wearable Antenna Using Varactor Diode

Frequency Reconfigurable Wearable Antenna Using Varactor Dio...

引用

Innovative computing, Intelligent communication and Smart Electrical Systems (ICSES), International Conference on

作者： Vijayandren Thambiraja Shanmuka Rooban Gunasekaran Thennarasan Sabapathy Muzammil Jusoh Mohd Ilman Jais Phaklen Ehkan Advanced Communication Engineering (ACE) Centre of Excellence Faculty of Electronic Engineering Technology Universiti Malaysia Perlis (UniMAP) Arau Perlis Malaysia Centre of Excellence Advanced Computing (AdvComp) Faculty of Electronic Engineering Technology Universiti Malaysia Perlis (UniMAP) Arau Perlis Malaysia

ISBN: (数字)9798331543624

ISBN: (纸本)9798331543631

In this work, a frequency reconfigurable wearable antenna incorporating a varactor diode is proposed. The antenna is designed using a Felt substrate, chosen for its lightweight, flexible, and low-loss properties, making it particularly suitable for wearable applications. The conductive element is fabricated using Shieldit Super™, a highly conductive material that ensures efficient RF performance while maintaining the mechanical flexibility required for integration with wearable devices. The antenna design includes a complete DC biasing circuitry to control the varactor diode's operation. The biasing network is carefully integrated to minimize interference with the antenna's RF performance. The design and simulation were carried out using CST Microwave Studio, an electromagnetic simulation tool widely used for antenna analysis. The proposed design achieves frequency tuning in the range of 2.38 GHz to 2.55 GHz by applying a reverse bias voltage between 0 V and 8 V to the varactor diode. This continuous tuning capability is critical for wearable applications requiring adaptability to changing environments or multiple communication standards. Additionally, the antenna achieves a bandwidth of 380 MHz, spanning from 2.27 GHz to 2.65 GHz, which further enhances its versatility for broadband applications. The gain of the antenna remains stable across the tuning range, which is an essential parameter for wearable antennas to maintain consistent performance. The results indicate that the proposed design effectively combines frequency reconfigurability with stable gain and bandwidth performance. This makes it a strong candidate for wearable applications, particularly in environments where frequency flexibility and compact, lightweight designs are critical. Future work could focus on optimizing the biasing circuitry for lower power consumption and exploring the integration of this antenna with textile-based systems for enhanced usability.

关键词： Varactors Microwave antennas Radio frequency Performance evaluation Bandwidth Microwave communication Wearable antennas Broadband antennas Tuning Substrates

来源：评论

学校读者我要写书评

暂无评论

Survey on AI-Enabled Resource Management for 6G Heterogeneous Networks:Recent Research,Challenges,and Future Trends

引用

Computers, Materials & Continua 2025年第6期83卷 3585-3622页

作者： Hayder Faeq Alhashimi Mhd Nour Hindia Kaharudin Dimyati Effariza Binti Hanafi Feras Zen Alden Faizan Qamar Quang Ngoc Nguyen Centre of Advanced Communication Research and Innovation(ACRI)Department of Electrical EngineeringFaculty of EngineeringUniversity of MalayaKuala Lumpur50603Malaysia School of Computing Sciences College of ComputingInformatics and MathematicsUniversiti TeknologiMaraShah Alam40450Malaysia Centre for Cyber Security Faculty of Information Science and Technology(FTSM)Universiti KebangsaanMalaysia(UKM)Bangi43600Malaysia Faculty of Science and Engineering Waseda UniversityTokyo169-8555Japan Faculty of Telecommunications Posts and Telecommunications Institute of TechnologyHanoi11518Vietnam

The forthcoming 6G wireless networks have great potential for establishing AI-based networks that can enhance end-to-end connection and manage massive data of real-time *** Intelligence(AI)advancements have contributed to the development of several innovative technologies by providing sophisticated specific AI mathematical models such as machine learning models,deep learning models,and hybrid ***,intelligent resource management allows for self-configuration and autonomous decision-making capabilities of AI methods,which in turn improves the performance of 6G ***,6G networks rely substantially on AI methods to manage *** paper comprehensively surveys the recent work of AI methods-based resource management for 6G ***,the AI methods are categorized into Deep Learning(DL),Federated Learning(FL),Reinforcement Learning(RL),and Evolutionary Learning(EL).Then,we analyze the AI approaches according to optimization issues such as user association,channel allocation,power allocation,and mode ***,we provide appropriate solutions to the most significant problems with the existing approaches of AI-based resource ***,various open issues and potential trends related to AI-based resource management applications are *** summary,this survey enables researchers to understand these advancements thoroughly and quickly identify remaining challenges that need further investigation.

关键词： Artificial intelligence(AI) resource management deep learning(DL) federated learning(FL) reinforcement learning(RL) evolutionary learning(EL)

来源：评论

学校读者我要写书评

暂无评论

Configurable Wide Voltage Range Isolated Converter Configuration for Electric Vehicle Drive Train Evaluation and EVSE Validation with Back-to-Back Test Functionality

Configurable Wide Voltage Range Isolated Converter Configura...

引用

IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020)

作者： Murali Manohar S R Arun Raj Kumar K P Sreedevi M L Jinuraj K G Amal S Renji V Chacko Power Electronics Group Centre for Development of Advanced Computing Thiruvananthapuram A Scientific Society of the Ministry of Communication and Information Technology Govt. of India

Due to the rapid advancements in Electric Vehicle (EV) and EV subsystem development, the requirement of test platforms for Electric vehicle level testing; Drive train system development and evaluation, Electric Vehicle Supply Equipment (EVSE) validation etc. are on the rise. EV manufacturers, OEMs of various drive subsystems, and the automotive certification agencies test the electric vehicle subsystem in terms of performance and standards for certification. Extensive and rigorous use of energy storage systems is needed in EV subsystem testing, which is time consuming and expensive. A high frequency, high power DC-DC converters with isolation and back-to-back test functionality can replicate the behaviour of energy storage systems for EV level testing. Such a configurable wide voltage range isolated converter configuration with back-to-back test functionality is discussed in this paper. Series resonant dual active bridge DC-DC converter is one of the most researched topologies in this regard due to their high power density and efficiency. But over a wide voltage range operation there is alarming rise in the inductor currents. In order to achieve wide output voltage range, a multiphase DC-DC converter is cascaded with the SR - DAB converter. In this design, two SR-DABs are connected in input-parallel output-parallel configuration and at the output of this a two-phase interleaved bidirectional DC-DC converter is cascaded. Due to the modular structure of the converter configuration, higher power and current levels can be achieved by adding more parallel modules of SR-DAB and bidirectional DC-DC converter, using the same configuration. The converter configuration, design, and simulation results are presented in this paper.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Implementation of Multiscale Line Detection and Mathematical Morphology for Efficient and Precise Blood Vessel Segmentation in Fundus Images

引用

Computers, Materials & Continua 2024年第5期79卷 2565-2583页

作者： Syed Ayaz Ali Shah Aamir Shahzad Musaed Alhussein Chuan Meng Goh Khursheed Aurangzeb Tong Boon Tang Muhammad Awais Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad CampusAbbottabad22060Pakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Faculty of Information and Communication Technology University Tunku Abdul RehmanKampar CampusKampar31900Malaysia Centre for Intelligent Signal and Imaging Research University Teknologi PETRONASBandar Seri IskandarPerak32610Malaysia School of Computing Sciences University of East AngliaNorwichNR47TJUK

Diagnosing various diseases such as glaucoma,age-related macular degeneration,cardiovascular conditions,and diabetic retinopathy involves segmenting retinal blood *** task is particularly challenging when dealing with color fundus images due to issues like non-uniformillumination,low contrast,and variations in vessel appearance,especially in the presence of different ***,the speed of the retinal vessel segmentation system is of utmost *** the surge of now available big data,the speed of the algorithm becomes increasingly important,carrying almost equivalent weightage to the accuracy of the *** address these challenges,we present a novel approach for retinal vessel segmentation,leveraging efficient and robust techniques based on multiscale line detection and mathematical *** algorithm’s performance is evaluated on two publicly available datasets,namely the Digital Retinal Images for Vessel Extraction dataset(DRIVE)and the Structure Analysis of Retina(STARE)*** experimental results demonstrate the effectiveness of our method,withmean accuracy values of 0.9467 forDRIVE and 0.9535 for STARE datasets,aswell as sensitivity values of 0.6952 forDRIVE and 0.6809 for STARE ***,our algorithmexhibits competitive performance with state-of-the-art ***,it operates at an average speed of 3.73 s per image for DRIVE and 3.75 s for STARE *** is worth noting that these results were achieved using Matlab scripts containing multiple *** suggests that the processing time can be further reduced by replacing loops with *** the proposed algorithm can be deployed in real time *** summary,our proposed system strikes a fine balance between swift computation and accuracy that is on par with the best available methods in the field.

关键词： Line detector vessel detection localization mathematical morphology image processing

来源：评论

学校读者我要写书评

暂无评论

Development of Android Application for Intelligent 2D Breast Cancer Visualization

Development of Android Application for Intelligent 2D Breast...

引用

communication Engineering and Emerging Technologies (ICoCET), IEEE International Conference on

作者： V. Vijayasarveswari Pavitraa Nadeson Wee Fwen Hoon Norfadila Mahrom Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Advanced Communication Engineering (ACE) Centre of Excellence Universiti Malaysia Perlis Perlis Malaysia Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Perlis Malaysia Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Advanced Computing Centre of Excellence Universiti Malaysia Perlis Perlis Malaysia

ISBN: (数字)9798331504144

ISBN: (纸本)9798331504151

Most often affecting women after puberty, breast cancer is one of the most common cancer-related disorders globally. Even though the condition kills thousands of people every year, if it is discovered promptly, it can usually be treated. Therefore, quick and accurate detection techniques are essential for the patient's survival. In the past, medical professionals used manual detection methods to achieve this goal. Most of the researches usually focusing more on detecting compared to visualizing. Visualizing Breast cancer is important so many people can understand their condition easily. The goal of this research is to create a new Android application that will visualize the detected breast cancer in 2D environment using Android based smartphone. This in project, there are two phases. Phase 1 is data preparation for the visualization and phase 2 visualization of tumor in 2D environment. In this process, data is extracted from Matlab and it visualize in mobile application. The data is processed by using machine learning. The detected tumor is visualizes using Android based smart phone. The application is developed by using 000webhost, MySQL and Android Studio. The utilization of android applications is quite advantageous as they advance technology and provide consumers with a variety of viewpoints. It is able to handle and visualize these data better than other standard systems. To test the system, we initially tried it with 10 data sets. Once 10 data are appropriately visualized. To check its functionality, we added more data, Additionally, the application can help user to understand the state of their breast health without the expertise.

关键词： Data visualization Manuals Machine learning Breast cancer Mobile applications Spreadsheet programs MATLAB Smart phones Standards Tumors

来源：评论

学校读者我要写书评

暂无评论

Convolutional Autoencoder based Deep Learning Model for Identification of Red Palm Weevil Signals

Convolutional Autoencoder based Deep Learning Model for Iden...

引用

2021 Asia-Pacific Signal and information Processing Association Annual Summit and Conference, APSIPA ASC 2021

作者： Parvathy, S.R. Jayan, Deepak P. Pathrose, Nimmy Rajesh, K.R. Centre for Development of Advanced Computing A Scientific Society of the Ministry of Communication and Information Technology Govt. of India Kerala Thiruvananthapuram India

ISBN: (纸本)9789881476890

This paper presents a Convolutional Autoencoder based Deep Learning model for identification of Red Palm Weevil acoustic emissions from other background noise. Mel spectrogram of acoustic samples was chosen as the extracted feature for the proposed model. The designed Convolutional Autoencoder was trained using Mel spectrogram images of Red Palm Weevil acoustic activities which are regarded as the normal instances. Unbiased evaluation of the model was done with a test dataset composed of normal RPW acoustic emissions as well as anomalous acoustic samples. The model could achieve a very high classification accuracy of 95.85%. The results confirmed that the proposed method is highly efficient for the identification of Red Palm Weevil signals. © 2021 APSIPA.

关键词： Statistical tests

来源：评论

学校读者我要写书评

暂无评论

Improving First Responder Preparedness in Indoor Evacuation through advanced Numerical Simulation Techniques

Improving First Responder Preparedness in Indoor Evacuation ...

引用

Computational Modelling, Simulation and Optimization (ICCMSO), International Conference on

作者： Asep Id Hadiana Safiza Suhana Kamal Baharin Zahriah Othman Eddie Krishna Putra Center of Advanced Computing Technology (CACT) Faculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka Department of Informatics Universitas Jenderal Achmad Yani Cimahi Indonesia

This research explores the use of advanced numerical simulation techniques, specifically PyroSim and Pathfinder, to enhance the preparedness of first responders in indoor evacuation scenarios. A six-floor building with two staircases was simulated during a fire emergency, providing valuable insights into the effectiveness of building design, evacuation procedures, and occupant behavior during an emergency. The analysis of the data revealed significant variations in response times between different floors and staircases, emphasizing the need for effective communication and coordination among first responders. The simulation identified potential areas for improvement, including increasing occupant awareness of evacuation procedures and improving smoke detection and evacuation measures. The article also examines the strengths and limitations of the numerical simulation approach and suggests future research directions such as the need for further validation of simulation models and the integration of real-time data into evacuation modeling techniques. Overall, the study demonstrates the potential benefits of using advanced numerical simulation techniques for improving first responder preparedness and enhancing evacuation planning. The insights gained from this study can help building managers and first responders make informed decisions to create safer and more resilient communities.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：