Journal of Electrical Systems最新文献_第10页

Performance assessment of monolayer Black Phosphorus DG-JLFET 单层黑磷 DG-JLFET 性能评估

IF 0.4

Journal of Electrical Systems Pub Date : 2024-05-08 DOI: 10.52783/jes.3371

Pankaj Kumar Sanda

引用次数: 0

Biodegradable Activated Carbon Material Derived from Eggplant Waste for Enhanced Supercapacitor Performance 从茄子废弃物中提取的可生物降解活性炭材料用于增强超级电容器性能

IF 0.4

Journal of Electrical Systems Pub Date : 2024-05-08 DOI: 10.52783/jes.3544

Yakub Banothu, Swapna Peravali, D. V. Rama, Koti Reddy, CH.D. Uma Sankar, S. R. Srither, P. S. S. Babu, Syed Shameem

引用次数: 0

Big Data Model for Third-party Stability Assessment of Major Decisions: Generation Logic and Path Construction 重大决策第三方稳定性评估的大数据模型：生成逻辑与路径构建

IF 0.4

Journal of Electrical Systems Pub Date : 2024-05-08 DOI: 10.52783/jes.3530

Mingxin Xu, Longgui Zhen, Shuang Tan

{"title":"Big Data Model for Third-party Stability Assessment of Major Decisions: Generation Logic and Path Construction","authors":"Mingxin Xu, Longgui Zhen, Shuang Tan","doi":"10.52783/jes.3530","DOIUrl":"https://doi.org/10.52783/jes.3530","url":null,"abstract":"The role of digital and intelligent technology in social risk governance and assessment is increasingly prominent. However, existing research often focuses on the technical aspects of development, neglecting the synergy and integration between technology and administrative practices. To address this, the paper constructs a four-dimensional theoretical analysis framework based on collaborative governance theory, which includes “subject integration, object unification, relationship coupling, and function complementation.” This framework is applied in a case study to analyze the generation logic and pathway construction of the third-party stability assessment the “big data” model adopted by City A. The study concludes that the dominant role of administrative efficiency is core, the supportive role of technological empowerment is key, and the participatory role of social forces is essential in building the pathway. These findings provide empirical support for the digital construction of major decision-making third-party stability assessment nationwide. They offer new perspectives to enhance governance efficiency and contribute to the ongoing improvement and high-quality development of major decision-making processes in social stability risk governance and assessment.","PeriodicalId":44451,"journal":{"name":"Journal of Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141129131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CMOS Based Voltage Reference Designs for Sub - 1V 基于 CMOS 的 1V 以下电压基准设计

IF 0.4

Journal of Electrical Systems Pub Date : 2024-05-08 DOI: 10.52783/jes.3538

Garima Kapur

{"title":"CMOS Based Voltage Reference Designs for Sub - 1V","authors":"Garima Kapur","doi":"10.52783/jes.3538","DOIUrl":"https://doi.org/10.52783/jes.3538","url":null,"abstract":"This review paper presents an analysis of the most recent advancements in sub-1V voltage references, addressing the growing demand for ultra-low power consumption and high precision in modern integrated circuits (ICs). Voltage references are critical components in numerous applications, including IoT devices, wearable electronics, and energy-harvesting systems, where power efficiency and accuracy are paramount. It briefly discusses the challenges associated with designing voltage references at such low voltages, such as limited headroom, reduced noise margin, and process variations. Topics include high-order curvature compensation, modified differential pair configurations, and energy-efficient solutions for integrated energy harvesting. These advancements enhance precision and reliability in low-voltage circuits, paving the way for sustainable, low-power electronics and compact devices in the modern digital landscape. It emphasizes the importance of benchmarking different designs against criteria such as power consumption, line regulation, temperature stability, and supply voltage rejection ratio (PSRR). The paper include insights into the state-of-the-art sub-1V voltage reference designs, identification of design trade-offs, and recommendations for future research directions. It underscores the importance of continuous innovation in voltage reference design to address the evolving requirements of ultra-low power electronics. The study here is setting the stage for a detailed analysis of the latest developments in sub-1V voltage references.","PeriodicalId":44451,"journal":{"name":"Journal of Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141129232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancements in Breast Cancer Detection: Harnessing Artificial Neural Networks for Improved Accuracy 乳腺癌检测的进步：利用人工神经网络提高准确性

IF 0.4

Journal of Electrical Systems Pub Date : 2024-05-08 DOI: 10.52783/jes.3540

P.Narasimhaiah

{"title":"Advancements in Breast Cancer Detection: Harnessing Artificial Neural Networks for Improved Accuracy","authors":"P.Narasimhaiah","doi":"10.52783/jes.3540","DOIUrl":"https://doi.org/10.52783/jes.3540","url":null,"abstract":"Female breast malignancy is the exceedingly prevalent reason for the demise of women around the world. Women who are revealed to have breast cancer earlier in life get a lower death rate from the disease and increase the life expectancy of patients. Mammography screening is one of the effortless, efficient, and affordable ways to identify breast cancer in advance. The early investigators pioneered many methods based on statistical measurements and textural traits for the earliest identification of carcinoma of the breast. Due to artefacts, noise, pectoral muscles, and irregular illumination, the accuracy of cancer prediction in these works is relatively low. The accuracy of predictions made by employing textural characteristics for forecasting breast cancer in earlier work is 83.33%. The research proposal processes of mammograms to remove noise, artefacts, pectoralis, and inconsistent illumination in an endeavor to increase forecast accuracy. The proposed research uses an Artificial Neural Network (ANN) to classify breast masses as benign or malignant based on geometric pattern features. Its prediction accuracy is 86.67%, which is superior to research studies based on textural and statistical characteristics of breast mammograms.","PeriodicalId":44451,"journal":{"name":"Journal of Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141129297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dataset for Pharmaceutical Salt Business to Improve the Welfare of Salt's Farmers 改善盐农福利的药用盐业务数据集

IF 0.4

Journal of Electrical Systems Pub Date : 2024-05-04 DOI: 10.52783/jes.3671

Irfat Hista Saputra

引用次数: 0

Opinion Extraction using Hybrid Learning Algorithm with Feature Set Optimization Approach 使用混合学习算法和特征集优化方法提取观点

IF 0.4

Journal of Electrical Systems Pub Date : 2024-05-04 DOI: 10.52783/jes.3694

Devendra Kumar

{"title":"Opinion Extraction using Hybrid Learning Algorithm with Feature Set Optimization Approach","authors":"Devendra Kumar","doi":"10.52783/jes.3694","DOIUrl":"https://doi.org/10.52783/jes.3694","url":null,"abstract":"Evolution in engineering and technology added large size of data storage and transmission through the web application over the internet. This huge amount of data primarily used for exchange of information in between users and devices and in secondary aspects it has utilization as feedback, ratings and reviews that is supporting in generation of useful information of products, services, incidents etc. The data as opinion, feedback, view & suggestion is explored, organized & analyzed for selection of appropriate options. Sentiment analysis using the opinion extraction is a challenging task that is based on feature extraction and the concepts of Natural Language Processing that is applied in identification of the opinions of a user in terms of positive, neutral or negative ratings hidden in the form of comments typed as the text. Presently many data-processing based feature evaluation techniques for opinion extraction are used for solving the issues faced under sentiment classification applications. This article is based on development and application of algorithms for opinion extraction from text data available on web resources by K-Nearest Neighbor (KNN), Support vector machine (SVM) and hybrid of both named as SVM+KNN for classification of multi-label opinions from extracted text from review data of Twitter and Amazon. The performance of all the classification models (KNN, SVM and SVM+KNN) on both datasets is evaluated in terms of different parameters.","PeriodicalId":44451,"journal":{"name":"Journal of Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141012919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Image Segmentation Technology Based on Ant Colony Algorithm 基于蚁群算法的图像分割技术

IF 0.4

Journal of Electrical Systems Pub Date : 2024-05-04 DOI: 10.52783/jes.3485

Xiaoyan Wang

{"title":"Image Segmentation Technology Based on Ant Colony Algorithm","authors":"Xiaoyan Wang","doi":"10.52783/jes.3485","DOIUrl":"https://doi.org/10.52783/jes.3485","url":null,"abstract":"Image segmentation is a key task in computer vision, with applications ranging from medical diagnosis to autonomous driving. The Ant Colony Algorithm (ACO), modeled after ant foraging behavior, has emerged as a viable segmentation methodology. However, ACO-based segmentation algorithms frequently generate segmented outputs with jagged or uneven boundaries, which reduces their interpretability and usability. To alleviate this problem, they study the use of boundary-smoothing approaches in ACO-based segmentation. In this paper, they investigate image segmentation technology based on the Ant Colony Algorithm, with a focus on border smoothing. They examine the fundamentals of ACO and its application to image segmentation, emphasizing its strengths and limits. They also look at several boundary smoothing strategies, such as morphological operations, edge-preserving filters, and active contours (snakes), and how they affect segmentation performance. Through experimental validation and comparative analysis, they show that boundary smoothing improves the accuracy and visual quality of segmented images produced by ACO-based segmentation algorithms. These results help to design more robust and visually appealing segmentation algorithms, which have potential applications in medical imaging, remote sensing, and industrial automation.","PeriodicalId":44451,"journal":{"name":"Journal of Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141013350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic Braking System 自动制动系统

IF 0.4

Journal of Electrical Systems Pub Date : 2024-05-04 DOI: 10.52783/jes.3476

Dr. Manik Deosarkar

引用次数: 0

Innovative Financial Management in Higher Education: A Multi-Scale Deep Learning Approach for Risk Reduction and Quality Enhancement 高等教育中的创新财务管理：降低风险、提高质量的多尺度深度学习方法

IF 0.4

Journal of Electrical Systems Pub Date : 2024-05-04 DOI: 10.52783/jes.3254

Hongbin Yue

引用次数: 0