检索结果-内蒙古大学图书馆

International Journal of Interactive Mobile Technologies 2025年第1期19卷 155-170页

作者： Bakar, Azinoor Azida Abu Bakar, Zahari Abu Yusoff, Zakiah Mohd Ibrahim, Mohd Johan Mohamed Mokhtar, Nurkhairany Amyra Zaiton, Siti Nurul’Ain School of Civil Engineering College of Engineering Universiti Teknologi MARA Selangor Malaysia Electrical Engineering Studies College of Engineering Universiti Teknologi MARA Johor Branch Johor Malaysia Civil Engineering Studies College of Engineering Universiti Teknologi MARA Johor Branch Johor Malaysia Mathematical Sciences Studies College of Computing Informatics and Mathematics Universiti Teknologi MARA Johor Branch Johor Malaysia Faculty of Applied Sciences Universiti Teknologi MARA Johor Branch Johor Malaysia

The increasing water pollution levels and the growing demand for clean water necessitate advanced monitoring solutions. This study aims to develop an Internet of Things (IoT)-based real-time water quality monitoring system that addresses the limitations of traditional methods, which are often time-consuming and lack continuous monitoring capabilities. The system integrates pH, temperature, and turbidity sensors with an Arduino microcontroller and NodeMCU for Wi-Fi connectivity, transmitting data to a cloud platform for real-time access and analysis. The methodology involved interfacing these sensors with the microcontroller, displaying LCD data, and providing LED alerts. The findings indicate that the prototype’s readings closely align with laboratory measurements, with minor deviations in pH and temperature values and slightly more significant differences in turbidity readings. This demonstrates the prototype’s reliability and accuracy in real-time environmental monitoring. The conclusion emphasises the system’s potential to enhance water resource management through continuous and accurate tracking, enabling timely interventions. Future recommendations include improving sensor calibration, expanding the range of monitored parameters, and integrating advanced data analytics for predictive capabilities. The system’s real-time data logging capabilities significantly enhance water management by providing timely alerts and enabling proactive responses to water quality issues. The impact of this system is substantial, offering a scalable and cost-effective solution for continuous monitoring, thus contributing to improved water resource management and public health protection. © 2025 by the authors of this article.

关键词： Water well logging

来源：评论

学校读者我要写书评

暂无评论

A Review on Solar Panel Adoption in Residential Malaysia: Trends, Benefits and Technologies 2nd

A Review on Solar Panel Adoption in Residential Malaysia: Tr...

引用

2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024

作者： Quan, Teoh Chee Jasser, Muhammed Basheer Issa, Bayan Ajibade, Samuel-Soma M. Majeed, Anwar P. P. Abdul Luo, Yang Department of Smart Computing and Cyber Resilience School of Computing and Artificial Intelligence Faculty of Engineering and Technology Sunway University No. 5 Jalan Universiti Bandar Sunway Petaling Jaya Selangor Sunway City47500 Malaysia Department of Data Science and Artificial Intelligence School of Computing and Artificial Intelligence Faculty of Engineering and Technology Sunway University No. 5 Jalan Universiti Bandar Sunway Selangor Petaling Jaya47500 Malaysia Faculty of Engineering and Technology Sunway University No. 5 Jalan Universiti Bandar Sunway Selangor Petaling Jaya47500 Malaysia Faculty of Informatics Engineering University of Aleppo Aleppo Syria School of Intelligent Manufacturing Ecosystem Xi’an Jiaotong-Liverpool University Suzhou Taicang215400 China

ISBN: (纸本)9789819639489

This survey provides detailed perspectives on Malaysian solar energy system adoption in relation to the economic outcome and environmental and policy context. This work has been done by using comprehensive keyword lists and inclusion criteria to confirm that the findings of this survey capture as many relevant publications as possible from the research period from 2010 to 2024. Unlike numerous papers that investigate such systems with mere commercial or industrial perspective, this survey aims at assessing residential installation, and providing accurate cost benefit analysis while showing the business belief of such schemes. It also examines various opinions, especially the Malaysian government policies and strategic incentives and staking its success on public awareness and acceptance. We equally allocate a considerable portion of this survey to discussing the environmental effects and the life cycle analyses comparing solar energy with other energy types. Notably, the survey is also under sustainable development goal 7 with the goal of achieving universal access to affordable reliable, sustainable and modern energy. Such a focus also makes the identified topics relevant for Malaysia, which is useful for references in subsequent projects and activities. These would include use of web-survey, the coverage on the residential sector, the ability to incorporate policy analysis and emphasis on sustainability to the study on solar energy usage in residential Malaysia. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Clean energy

来源：评论

学校读者我要写书评

暂无评论

An Efficient Algorithm for Software Reliability Prediction via Harris Hawks Optimization 2nd

An Efficient Algorithm for Software Reliability Prediction v...

引用

2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024

作者： Kong, Li Sheng Jasser, Muhammed Basheer Issa, Bayan Ajibade, Samuel-Soma M. Majeed, Anwar P. P. Abdul Luo, Yang Department of Smart Computing and Cyber Resilience School of Computing and Artificial Intelligence Faculty of Engineering and Technology Sunway University No. 5 Jalan Universiti Bandar Sunway Selangor Petaling Jaya47500 Malaysia Department of Data Science and Artificial Intelligence School of Computing and Artificial Intelligence Faculty of Engineering and Technology Sunway University No. 5 Jalan Universiti Bandar Sunway Selangor Petaling Jaya47500 Malaysia Faculty of Engineering and Technology Sunway University No. 5 Jalan Universiti Bandar Sunway Selangor Petaling Jaya47500 Malaysia Faculty of Informatics Engineering University of Aleppo Aleppo Syria School of Intelligent Manufacturing Ecosystem Xi’an Jiaotong-Liverpool University Suzhou Taicang215400 China

ISBN: (纸本)9789819639489

Software reliability has become an increasingly important characteristic as software systems continue to be integrated into all parts of our lives. While the occurrence of failure after a period of time is within the nature of all software systems, the ability to estimate and predict failure is greatly beneficial to software development and maintenance. Hence, Software Reliability Growth Models (SRGMs) were developed to fulfill this requirement. Conventional parameter estimation methods of SRGM functions were complex and left more to be desired. Consequently, metaheuristics such as Swarm Intelligence algorithms were introduced to estimate and optimize the parameters of SRGM functions. Likewise, Swarm Intelligence algorithms were found to be exceptionally effective in estimating and optimizing the parameters of SRGM functions. This paper presents a novel approach to parameter estimation on three different SRGM functions through Harris’ Hawks Optimization (HHO). The proposed HHO design is compared against numerous different variants of Swarm Intelligence algorithms and is shown to be significantly more efficient than the majority of the compared designs. Moreover, as the proposed design is a base variant of Swarm Intelligence algorithms, various avenues of future improvements have also been presented to improve its overall prediction accuracy. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Harris’ Hawks Optimization Parameter Estimation Software Reliability Growth Models Software Reliability Prediction Swarm Intelligence

来源：评论

学校读者我要写书评

暂无评论

Case study of performance degradation on the Xen hypervisor-based virtualization related to the native host 24

Case study of performance degradation on the Xen hypervisor-...

引用

24th International Symposium INFOTEH-JAHORINA, INFOTEH 2025

作者： Dordević, Borislav Janjić, Kristina Kraljević, Nenad Davidović, Nikola Institute Mihailo Pupin Belgrade Serbia Academy of Technical and Art Applied Studies School of Electrical and Computing Engineering of Applied Studies Belgrade Serbia University of East Sarajevo Faculty of Electrical Engineering East Sarajevo Bosnia and Herzegovina School of Electrical and Computing Engineering of Applied Studies Belgrade Serbia

ISBN: (纸本)9798331515799

This paper conducts a comparative analysis of file system performance between a native operating system and Xen hypervisor-based virtualization. The study uses CentOS Stream 9 as both the native and guest operating system and employs Filebench for benchmarking purposes. Performance tests were carried out on the native operating system and within the Xen virtual environment, accommodating one to four virtual machines. A mathematical model was established for both the native and virtual environments, predicting that the native operating system would significantly outperform the virtualized one. The findings of this paper corroborate the model's predictions, demonstrating a substantial decline in file system performance due to virtualization. © 2025 IEEE.

关键词： Virtualization

来源：评论

学校读者我要写书评

暂无评论

Forgery-Aware Adaptive Learning With Vision Transformer for Generalized Face Forgery Detection

引用

IEEE Transactions on Circuits and Systems for Video Technology 2025年第5期35卷 4116-4129页

作者： Luo, Anwei Cai, Rizhao Kong, Chenqi Ju, Yakun Kang, Xiangui Huang, Jiwu Kot, Alex C. Sun Yat-sen University School of Computer Science and Engineering Guangzhou510006 China Jiangxi University of Finance and Economics School of Computing and Artificial Intelligence Nanchang330013 China Laboratory School of Electrical and Electronic Engineering Jurong West 639798 Singapore Sun Yat-sen University Guangdong Key Laboratory of Information Security School of Computer Science and Engineering Guangzhou510006 China Shenzhen MSU-BIT University Guangdong Laboratory of Machine Perception and Intelligent Computing Faculty of Engineering Shenzhen518116 China China-Singapore International Joint Research Institute Guangzhou China

With the rapid progress of generative models, the current challenge in face forgery detection is how to effectively detect realistic manipulated faces from different unseen domains. Though previous studies show that pre-trained Vision Transformer (ViT) based models can achieve some promising results after fully fine-tuning on the Deepfake dataset, their generalization performances are still unsatisfactory. To this end, we present a Forgery-aware Adaptive Vision Transformer (FA-ViT) under the adaptive learning paradigm for generalized face forgery detection, where the parameters in the pre-trained ViT are kept fixed while the designed adaptive modules are optimized to capture forgery features. Specifically, a global adaptive module is designed to model long-range interactions among input tokens, which takes advantage of self-attention mechanism to mine global forgery clues. To further explore essential local forgery clues, a local adaptive module is proposed to expose local inconsistencies by enhancing the local contextual association. In addition, we introduce a fine-grained adaptive learning module that emphasizes the common compact representation of genuine faces through relationship learning in fine-grained pairs, driving these proposed adaptive modules to be aware of fine-grained forgery-aware information. Extensive experiments demonstrate that our FA-ViT achieves state-of-the-arts results in the cross-dataset evaluation, and enhances the robustness against unseen perturbations. Particularly, FA-ViT achieves 93.83% and 78.32% AUC scores on Celeb-DF and DFDC datasets in the cross-dataset evaluation. © 1991-2012 IEEE.

关键词： Forgery Faces Adaptation models Transformers Feature extraction Adaptive learning Computer vision Face recognition Deepfakes Visualization

来源：评论

学校读者我要写书评

暂无评论

Optimization of heterogeneous last-mile delivery of fresh products considering traffic congestions and other real-world parameters

引用

IEEE Access 2025年 13卷 87193-87207页

作者： Peric, Nikica Begovic, Slaven Lesic, Vinko University of Zagreb Laboratory for Renewable Energy Systems Faculty of Electrical Engineering and Computing Zagreb Croatia

Logistics and transport are the core of many industrial and business processes. One of the most promising segments in the field is the optimization of vehicle routes. Scientific effort is focused primarily on algorithms developed in simplified environments and covers a fraction of real industrial applications due to complex combinatorial algorithms required to be promptly executed. In this paper, a real-world case study in all its complexity is observed and formulated as a real-world vehicle routing problem (VRP). To be able to cope with the complexity computationally, we propose a new procedure based on an adaptive memory metaheuristic combined with local search. The initial solution is obtained with the Clarke-Wright savings algorithm extended here by introducing a dropout factor to include a demanded stochastic attribute. The procedure and corresponding algorithms are tested first on the two existing scientific state-of-art benchmarks and further on the real industrial case study, which considers capacities, time windows, soft time windows, heterogeneous vehicles, dynamic fuel consumption, multi-trip delivery, crew skills, split delivery and, finally, time-dependent routes as the most significant factor. In comparison with the current state-of-the-art algorithms for vehicle routing problem with a large number of constraints, we obtain an average savings of 2.03% in delivery time and 20.98% in total delivery costs. © 2013 IEEE.

关键词： Adaptive memory Metaheuristic Real-world VRP Time Dependent VRP

来源：评论

学校读者我要写书评

暂无评论

Secure Channel Estimation Using Norm Estimation Model for 5G Next Generation Wireless Networks

引用

Computers, Materials & Continua 2025年第1期82卷 1151-1169页

作者： Khalil Ullah Song Jian Muhammad Naeem Ul Hassan Suliman Khan Mohammad Babar Arshad Ahmad Shafiq Ahmad Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming650500China Department of Computer Science Abbottabad University of Science and TechnologyHavelianAbbottabad22500Pakistan Department of Computing and Electronics Engineering Middle East CollegeMuscat124Oman Department of CS&IT Pak-Austria Fachhochschule Institute of Applied Sciences and Technology MangHaripur22621Pakistan Industrial Engineering Department College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia

The emergence of next generation networks(NextG),including 5G and beyond,is reshaping the technological landscape of cellular and mobile *** networks are sufficiently scaled to interconnect billions of users and *** in academia and industry are focusing on technological advancements to achieve highspeed transmission,cell planning,and latency reduction to facilitate emerging applications such as virtual reality,the metaverse,smart cities,smart health,and autonomous *** continuously improves its network functionality to support these *** input multiple output(MIMO)technology offers spectral efficiency,dependability,and overall performance in *** article proposes a secure channel estimation technique in MIMO topology using a norm-estimation model to provide comprehensive insights into protecting NextG network components against adversarial *** technique aims to create long-lasting and secure NextG networks using this extended *** viability of MIMO applications and modern AI-driven methodologies to combat cybersecurity threats are explored in this ***,the proposed model demonstrates high performance in terms of reliability and accuracy,with a 20%reduction in the MalOut-RealOut-Diff metric compared to existing state-of-the-art techniques.

关键词： Next generation networks massive mimo communication network artificial intelligence 5G adversarial attacks channel estimation information security

来源：评论

学校读者我要写书评

暂无评论

Industrial IoT-based submetering solution for real-time energy monitoring

引用

Discover Internet of Things 2025年第1期5卷 1-16页

作者： Khasawneh, Hussam J. Al Asbahi, Raghad Alzariqi, Abdelrahman W. Al Qada, Danah R. Bujuk, Ayman Nawfal, Muhammad A. Tareen, Maria Department of Electrical Engineering Al Hussein Technical University King Hussein Business Park Amman11118 Jordan Department of Mechatronics Engineering The University of Jordan Amman11942 Jordan InJo4.0 Innovation Center SAM Engineering Amman11185 Jordan Engineering Department RAM Pharmaceuticals Amman11652 Jordan Faculty of Engineering Environment and Computing Coventry University CoventryCV1 5FB United Kingdom

The Sustainable Monitoring & Advanced Real-Time Energy Efficiency (SMARTEE) project addresses the critical challenge of optimizing energy management in pharmaceutical manufacturing through an Industrial Internet of Things (IIoT)-based submetering solution. This study presents the design and deployment of a tailored IoT system, integrating IoT-enabled submeters, a Mini-PC gateway, and cloud-based analytics for continuous, real-time energy consumption monitoring across critical equipment such as chillers, boilers, and HVAC systems. Following a systematic methodology, the project implemented advanced data acquisition and communication protocols, including Modbus over RS485, Node-RED for data processing, and MQTT for transmitting energy metrics to a cloud-based visualization platform. Results demonstrated the system’s efficacy in delivering actionable insights into energy patterns, significantly improving operational efficiency and waste reduction. The IoT-based solution is highly scalable, adaptable to various industrial contexts, and provides a secure platform for real-time monitoring. This work highlights the potential of IoT in transforming industrial energy management, with future research focusing on AI-driven predictive analytics and seamless integration with renewable energy systems to enhance sustainability and resilience further. © The Author(s) 2025.

关键词： Gateways (computer networks)

来源：评论

学校读者我要写书评

暂无评论

Coordinated Planning and Control of Two Mobile Robots for Joint Cargo Transportation

Coordinated Planning and Control of Two Mobile Robots for Jo...

引用

International Conference on Autonomous Robots and Agents, ICARA

作者： Borna Paro Jelena Rogina Luka Petrović Marija Seder Ivan Marković Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

ISBN: (数字)9798331509231

ISBN: (纸本)9798331509248

Automated cargo transport is a frequent task in intralogistics and industrial scenarios, but is usually carried out by a single robot, thus limited to its payload capabilities. In this paper, we present a method for coordinated motion planning and control of two autonomous mobile robots for the joint transport of cargo that is too large for a single robot. We consider the two robots with a large cargo on top of them as an any-shape single kinematic chain with cargo. We plan an optimal collision free path for the entire differential drive kinematic chain that ensures the transport of the cargo to the desired target location. The implemented algorithm sends control commands to each robot separately, which achieves the coordinated execution of the planned path. Finally, the proposed method is validated in simulated and real-world scenarios.

关键词： Service robots Robot kinematics Measurement by laser beam Transportation Kinematics Path planning Planning Mobile robots Collision avoidance Autonomous robots

来源：评论

学校读者我要写书评

暂无评论

Bridging Theory and Practice in Outcome-Based Assessment: Developing a Web Application for Learning Outcome Alignment

Bridging Theory and Practice in Outcome-Based Assessment: De...

引用

International Conference on Educational and Information Technology (ICEIT)

作者： Abdulsalam K. Alhazmi Faculty of Engineering & Computing University of Science and Technology Aden Yemen

ISBN: (数字)9798331540883

ISBN: (纸本)9798331540890

Assessment remains a cornerstone of the educational process, with standardized testing often serving as a primary method for evaluating learning. However, as pedagogical approaches continue to evolve, Outcome-Based Assessment (OBA) has gained prominence as a more comprehensive model that aligns learning outcomes with teaching strategies. This paper explores the significance of OBA, grounded in frameworks of domain learning, and highlights its global adoption as a measure of institutional quality. By focusing on measurable learning outcomes across cognitive domains, OBA enhances student engagement, critical thinking, and skill development. Extending this theoretical foundation, the paper presents an Outcome Based Assessment System (OBAS) developed to facilitate the practical implementation of OBA. OBAS provides a structured framework that links program learning outcomes to course learning outcomes, integrating considerations of learning domains and difficulty levels. By supporting the creation of standardized and authentic OBA assessments, this application empowers educators and institutions to uphold educational quality, foster accountability, and align assessments with targeted learning objectives.

关键词： Industries Bridges Education Employment Focusing Learning (artificial intelligence) Benchmark testing Prediction algorithms Classification algorithms Information technology

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：