检索结果-内蒙古大学图书馆

IEEJ Transactions on Electronics, Information and systems 2024年第9期144卷 894-900页

作者： Hadi, Danang Kumara Song, Zequn Rahmadya, Budi Sun, Ran Takeda, Shigeki Graduate School of Science and Engineering Ibaraki University 4-12-1 Nakanarusawa Ibaraki Hitachi316-8511 Japan Department of Agroindustrial Technology Universitas Muhammadiyah Jember Jember68124 Indonesia Computer System Department Faculty of Information Technology Andalas University Padang25175 Indonesia

This research introduces real-time monitoring and localizing product stock using the First-In-First-Out (FIFO) method with radio frequency identification (RFID) pressure sensing tags. The proposed FIFO system has RFID pressure sensing tags that detect pressure changes, generate sensor codes, and estimate a stock location. Integrating artificial intelligence (AI) improves location estimation accuracy of up-to-date stock visibility. The ability of RFID pressure sensing tags and AI to detect stock from sensor code data enables more effective asset management, optimizes stock management, reduces product waste, and contributes to better efficiency in product inventory management. © 2024 The Institute of Electrical Engineers of Japan.

关键词： Inventory control

来源：评论

学校读者我要写书评

暂无评论

Conducted electromagnetic emissions of compact fluorescent lamps and electronic ballast modeling

AIMS Electronics and Electrical Engineering

引用

AIMS Electronics and Electrical engineering 2022年第2期6卷 178-187页

作者： Yeshalem, Mulualem T. Khan, Baseem Mahela, Om Prakash Department of Electrical and Computer Engineering Hawassa University Hawassa Ethiopia Power System Planning Division Rajasthan Rajya Vidyut Prasaran Nigam Ltd. Jaipur India

The higher frequency electromagnetic (EM) emission in low voltage power systems is rising continuously due to the increasing use of modern electronic devices. The electronic ballast of a compact fluorescent lamp (CFL) is one of the sources of conducted EM emission in the power system. Conducted EM emission measurements are performed on compact fluorescent lamps (CFL) in the range of 2–150 kHz and compared with simulation results. The LTSpice simulation of typical 11W compact fluorescent lamps is used to analyze the measured values. Comparisons are made in both the time and frequency domains. The EMI filter in the ballast circuit can reduce the level of high-frequency EM emission. However, in order to get a more accurate result, it is necessary to find out the main cause of conducted EM emission in the ballast circuit, as the HF distortion spreads through the LV network in current signal between electronic devices. © 2022 the Author(s), licensee AIMS Press.

关键词： Fluorescence

来源：评论

学校读者我要写书评

暂无评论

Efficient Remote Memory Paging for Disaggregated Memory systems 1

引用

22nd International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2022

作者： Wang, Tao Liu, Haikun Jin, Hai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China

ISBN: (数字)9783031226779

ISBN: (纸本)9783031226762

Memory disaggregation has attracted increasing attention in recent years because it is a cost-efficient approach to scale memory capacity for applications in a data center. However, the latency of remote memory access is a major concern in disaggregated memory systems. This paper presents VANDI, a virtual memory paging mechanism that allows applications to use remote memory pools transparently. VANDI enables effective data caching and prefetching mechanisms to address the problem of high access latency in disaggregated memory systems. VANDI exploits a low-complexity cache replacement strategy to optimize the asynchronous staging queue so that the remote write latency can be significantly reduced. VANDI can also prefetch data in multi-granularity from a remote memory pool in an adaptive manner, and thus further improves the hit rate of the local cache to reduce the read latency of remote memory. Our extensive experiments using micro-benchmarks show that VANDI can improve the performance of typical remote paging system–Infiniswap by up to 15 × –102 ×. VANDI can also improve the performance of state-of-the-art disaggregated memory system–Valet by 1.2 × –2.7 ×. For typical machine learning workloads, VANDI can achieve 20% to 80% performance improvement compared with the state-of-the-art Valet. © 2023, Springer Nature Switzerland AG.

关键词： Paging systems

来源：评论

学校读者我要写书评

暂无评论

Leveraging Adaptive Algorithms for Real-Time Data Analysis 15

Leveraging Adaptive Algorithms for Real-Time Data Analysis

引用

15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Sahoo, Girija Shankar Hannah Jessie Rani, R. Goyal, Manish Kumar Mohammed, Vazeer Ali Jana, D Little Femilin Wasatkar, Namrata N. Maharishi University of Information Technology Maharishi School of Engineering and Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Electrical and Electronics Engineering Karnataka Bangalore India Vivekananda Global University Department of Computer Science & Application Jaipur India Lewis University Illinois Department of Computer & Information System United States Prince Shri Venkateshwara Padmavathy Engineering College Department of Science and Humanities Chennai127 India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India

ISBN: (纸本)9798350370249

This paper proposes the use of adaptive algorithms for real-time data analysis. Adaptive algorithms are a set of practical methods used for acting information-driven optimization and studying. They have a wide variety of applications and may be implemented to a selection of facts analysis obligations. This paper offers an overview of existing adaptive algorithms and descriptions of several new programs in the area of actual-time facts analysis. In particular, the paper discusses the notion of adaptive thresholding, which allows for practical real-time evaluation of large datasets. The paper also provides a novel technique for making use of these algorithms in an online learning environment. Results from simulations illustrate the ability of the proposed method in real-international packages. Sooner or later, the paper presents numerous key lessons discovered and affords recommendations for future research and packages in this area. © 2024 IEEE.

关键词： Adaptive algorithms

来源：评论

学校读者我要写书评

暂无评论

Inverter-embedded DFIG Rotor Winding Insulation Testing for Wind Energy Applications

Inverter-embedded DFIG Rotor Winding Insulation Testing for ...

引用

2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Park, Cheol-Hui Bolanos, Adrian Jose Salcedo Byun, Namhyuk Lee, Sang Bin Zapico, Marcos Orviz Reigosa, David Diaz Del Blanco, Fernando Briz Osama, Mohamed Korea University Dept. of Electrical Engineering Seoul Korea Republic of University of Oviedo Dept. of Electrical Computer & System Engineering Gijon Spain General Electric Company Munich Germany

ISBN: (纸本)9798350316445

Failure in the rotor winding insulation of doubly-fed induction generators (DFIG) used in wind turbines is common due to the harsh environment and operating stresses. However, rotor insulation testing is difficult and costly due to limited accessibility of wind generators installed inside the nacelle at remote locations. Therefore, remote and automated insulation testing can help reduce the maintenance cost and improve the reliability of DFIGs. In this paper, a new approach for testing the condition of rotor winding insulation for DFIGs is proposed. The main idea is to use the rotor-side inverter to perform off-line insulation testing whenever the wind generator is stopped. New test methods for partial discharge (PD), capacitance (C), and dissipation factor (DF) testing based on impulse and common mode voltage injection are proposed. Testing on a 6.3 kW wound rotor induction machine under emulated insulation defects is performed to verify that the proposed method can provide automated inverter-embedded testing for assessing the integrity of the DFIG rotor insulation. © 2023 IEEE.

关键词： Capacitance Dissipation Factor Doubly-fed Induction Generator Fault Diagnosis Inverter Off-line Testing Partial Discharge Rotor Insulation Testing

来源：评论

学校读者我要写书评

暂无评论

Enhancing Parking Facility of Container Drayage in Seaports: A Study on Integrating computer Vision and AI 6

Enhancing Parking Facility of Container Drayage in Seaports:...

引用

6th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2023

作者： Lee, Hoon Chatterjee, Indranath Cho, Gyusung Total Soft Bank Ltd. Logistics System Institute Busan Korea Republic of Tongmyong University Department of Computer Engineering Busan Korea Republic of Tongmyong University Department of Port Logistics System Busan Korea Republic of

ISBN: (纸本)9798350323535

Revolutionizing seaport operations is imperative for rapid urbanization in housing, transportation, education, health, and the economy. For this, the integration of artificial intelligence (AI) and computer vision (CV) technology is required. With smart traffic monitoring and parking space distribution, smart mobility optimization is realized for intelligent cities. Seaport container transportation is also required using AI and CV technologies. Thus, we established a sustainable and efficient parking system at seaports with a comprehensive framework based on deep learning and transfer learning techniques. Through an in-depth literature review, we determined the benefits of combining AI and CV to optimize parking facility management. Then, data gathering, quality evaluation, and practical applications of CV and AI in parking spaces and lanes were conducted. The significance of AI and CV technologies in developing efficient and sustainable transportation systems was verified by enhancing container drayage efficiency in seaports. The proposed system allowed AI and CV technologies to improve traffic management, optimize parking space allocation, and streamline container movement within seaports. By using deep learning techniques, particularly transfer learning, the proposed framework accurately identified parking spaces and lanes considering the crane position. CCTV camera data were used for real-time monitoring and efficient utilization of parking spaces in the seaport. Implementation of this framework enhanced container drayage operations, improved operational efficiency, reduced congestion, and enhanced seaport management. The proposed transformative technologies are crucial for the development of sustainable and efficient transportation networks for intelligent port operations. © 2023 IEEE.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

A Three-Model Deep Learning Framework for ASL Recognition: Integrating CNN, Skeletal Features, and Multi-Modal Fusion

A Three-Model Deep Learning Framework for ASL Recognition: I...

引用

International Conference on Trends in Electronics and Informatics (ICEI)

作者： Karthikeyan J Vedant Passi Akshit Mahajan Md Zaid Zeya Divyam Jain Manas Gautam School of Computer Science Engineering and Information System VIT University Vellore India School of Computer Science and Engineering VIT University Vellore India

ISBN: (数字)9798331544607

ISBN: (纸本)9798331544614

American Sign Language (ASL) recognition is an important way of enhancing deaf and hard-of-hearing individu-als' access to communication. In this present paper, we propose a multi-modal deep learning model with the incorporation of image-based, skeletal-based, and hybrid recognition methods in the attempt to foster enhanced ASL classification accuracy. Our method takes real-time video input and utilizes Convolutional Neural Networks (CNNs) for image-based recognition as well as Multi-Layer Perceptrons (MLPs) for skeletal feature extraction. MediaPipe Hands is used to identify 21 hand landmarks, which are further used as input for skeletal-based classification. The dataset, which is gathered from Kaggle, comprises 78,000 images of 26 ASL alphabets (A-Z), and each model is trained individually to achieve the best performance. An ensemble final model uses the most confident classification out of the three approaches to achieve maximum accuracy and reliability. The system is real-time with confidence-based filtering and TTS support for better usability. The experimental results show that the multi-modal fusion approach outperforms single-modality models with high accuracy even in the case of diverse lighting conditions and hand orientations. Future directions involve using the model for sentence-level ASL recognition with LSTMs and deployment with optimizations on mobile and edge devices using TensorFlow Lite.

关键词： Hands Deep learning Adaptation models Sign language Accuracy Translation Computational modeling Real-time systems Mobile handsets Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Anole: A Lightweight and Verifiable Learned-Based Index for Time Range Query on Blockchain systems 28th

Anole: A Lightweight and Verifiable Learned-Based Index for...

引用

28th International Conference on Database systems for Advanced Applications, DASFAA 2023

作者： Chang, Jian Li, Binhong Xiao, Jiang Lin, Licheng Jin, Hai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9783031306365

Time range query is essential to facilitate a wide range of blockchain applications such as data provenance in the supply chain. Existing blockchain systems adopt the storage-consuming tree-based index structure for better query performance, however, fail to efficiently work for most blockchain nodes with limited resources. In this paper, we propose Anole, a lightweight and verifiable time range query mechanism, to present the feasibility of building up a learned-based index to achieve high performance and low storage costs on blockchain systems. The key idea of Anole is to exploit the temporal characteristics of blockchain data distribution and design a tailored lightweight index to reduce storage costs. Moreover, it uses a digital signature to guarantee the correctness and completeness of query results by considering the learned index’s error bounds, and applies batch verification to further improve verification performance. Experimental results demonstrate that Anole improves the query performance by up to 10 × and reduces the storage overhead by 99.4 % compared with the state-of-the-art vChain+. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Utilizing Artificial Neural Networks and Multivariate Patient Data for Anemia Detection using WEKA based Approach for Diagnosis 2

Utilizing Artificial Neural Networks and Multivariate Patien...

引用

2nd International Conference on Automation, Computing and Renewable systems, ICACRS 2023

作者： Bhargava, Neeraj Rathore, Pramod Singh Vaishnav, Parul Rai, Manish School of Engineering & System Sciences MDS University Ajmer India Department of Computer and Communication Engineering Manipal University Jaipur India MDS University Ajmer India Manipal University Jaipur India

ISBN: (纸本)9798350340235

This research study describes a method that uses neural networks to figure out if a woman has anemia. An artificial neural network is a type of computer network that is based on the real neural networks that make up the structure of the human brain. In this paper, the WEKA tool is used for the classification process carried out using an ANN structure, which is referred to as one of the data mining approaches and is based on multiple perceptions. The network has seven inputs (RBC, HCT, MCV, MCH, MCHC, RDW, and WBC) and an output (decision). Simulations on 567 patients demonstrate that the Artificial Neural Network (ANN) accurately diagnose the disease. This study investigates the utilization of Artificial Neural Network (ANN)-supervised machine learning techniques for predicting anemia by using the data from Kaggle. © 2023 IEEE.

关键词： Face mask detection face recognition mask standard wearing detection Single Shot Multibox Detector algorithm

来源：评论

学校读者我要写书评

暂无评论

SAM-COD+: SAM-Guided Unified Framework for Weakly-Supervised Camouflaged Object Detection

引用

IEEE Transactions on Circuits and systems for Video Technology 2025年第5期35卷 4635-4647页

作者： Chen, Huafeng Wei, Pengxu Guo, Guangqian Gao, Shan Northwestern Polytechnical University Unmanned System Research Institute Xi’an710072 China National Key Laboratory of Unmanned Aerial Vehicle Technology Xi’an710072 China Sun Yat-sen University School of Computer Science and Engineering Guangzhou510006 China Peng Cheng Laboratory Shenzhen518066 China

Most Camouflaged Object Detection (COD) methods heavily rely on mask annotations, which are time-consuming and labor-intensive to acquire. Existing weakly-supervised COD approaches exhibit significantly inferior performance compared to fully-supervised methods and struggle to simultaneously support all the existing types of camouflaged object labels, including scribbles, bounding boxes, and points. Even for Segment Anything Model (SAM), it is still problematic to handle the weakly-supervised COD and it typically encounters challenges of prompt compatibility of the scribble labels, extreme response, semantically erroneous response, and unstable feature representations, producing unsatisfactory results in camouflaged scenes. To mitigate these issues, we propose a unified COD framework in this paper, termed SAM-COD, which is capable of supporting arbitrary weakly-supervised labels. Our SAM-COD employs a prompt adapter to handle scribbles as prompts based on SAM. Meanwhile, we introduce response filter and semantic matcher modules to improve the quality of the masks obtained by SAM under COD prompts. To alleviate the negative impacts of inaccurate mask predictions, a new strategy of prompt-adaptive knowledge distillation is utilized to ensure a reliable feature representation. To validate the effectiveness of our approach, we have conducted extensive empirical experiments on three mainstream COD benchmarks. The results demonstrate the superiority of our method against state-of-the-art weakly-supervised and even fully-supervised methods. Our source codes and trained models will be publicly released. © 1991-2012 IEEE.

关键词： Object recognition

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：