Journal of Engineering Science and Technology Review最新文献_第3页

A Review Summary on Various Cluster-Head Selection Improvement Techniques for LEACH-Based Protocols in Wireless Sensor Networks 无线传感器网络中基于 LEACH 协议的各种簇头选择改进技术综述

Journal of Engineering Science and Technology Review Pub Date : 2024-02-01 DOI: 10.25103/jestr.171.18

Ramika Ngangbam, Ashraf Hossain, Alok Shukla, M. S. Meetei

{"title":"A Review Summary on Various Cluster-Head Selection Improvement Techniques for LEACH-Based Protocols in Wireless Sensor Networks","authors":"Ramika Ngangbam, Ashraf Hossain, Alok Shukla, M. S. Meetei","doi":"10.25103/jestr.171.18","DOIUrl":"https://doi.org/10.25103/jestr.171.18","url":null,"abstract":"In present days, wireless sensor network (WSN) plays an important role in the domain of networks because of its vast applications in various fields. Sensor nodes (SNs) or nodes which are infinitesimally small in sizes are involved in the functioning of WSN for observing and monitoring the environmental phenomena by deploying these nodes in the region of interest. These tiny nodes are energy constrained and also have limited resources. Hence, various cluster-based routing techniques have been developed to optimise the energy utilisation of sensor nodes for extending network lifespan. LEACH is one of the most eminent cluster-based protocols where many derivative protocols have been proposed and still huge efforts are being contributed by many researchers to propose new algorithms based on the parent LEACH protocol. In this paper we represent a survey on LEACH based protocols related with the various modified techniques of cluster head selection. In cluster-based LEACH protocol cluster heads spend much more energy than that of energy by other nodes in the cluster. Therefore, proper selection of cluster heads is necessary in order to optimise the energy efficiency of a network. This paper reviews mainly the various modified election probability of cluster head selection and threshold condition based on LEACH protocol to provide a brief idea of these improvement techniques to the readers.","PeriodicalId":15707,"journal":{"name":"Journal of Engineering Science and Technology Review","volume":"563 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140468424","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

Novel Enriched Indus River Flow Dynamics Optimization Algorithm to solve the Electrical Energy -Active Power Loss Reduction and Voltage Stability Enhancement 解决电能问题的新型富印度河水流动力学优化算法 - 减少有功功率损耗和提高电压稳定性

Journal of Engineering Science and Technology Review Pub Date : 2024-02-01 DOI: 10.25103/jestr.171.25

L. Kanagasabai

引用次数: 0

Development and Characterisation of a Telemetry Infrastructure to Study Environmental Factors in a Custom Built Aquaponics System 开发遥测基础设施并确定其特性，以研究定制鱼菜共生系统中的环境因素

Journal of Engineering Science and Technology Review Pub Date : 2024-02-01 DOI: 10.25103/jestr.171.24

Carlos Andres Gomez-Ruiz, artha Isabel Villarreal, Stefany Lizeth García-Cruz, Marco Dalla Vecchia

引用次数: 0

An Improved Electrostatic Cleaning System for Dust Removal from Photovoltaic Panels 改进型静电清洁系统用于清除光伏电池板上的灰尘

Journal of Engineering Science and Technology Review Pub Date : 2024-02-01 DOI: 10.25103/jestr.171.14

Zeid Bendaoudi, A. Namoune, N. Kadous, Y. Bellebna, Khelifa Yanallah, Amar Tilmatine

引用次数: 0

Low-Carbon Vehicle Routing Models and Optimization Algorithms with Hybrid Time Window 采用混合时间窗的低碳车辆路由模型和优化算法

Journal of Engineering Science and Technology Review Pub Date : 2024-02-01 DOI: 10.25103/jestr.171.06

Kaihua Hu, Shidan Cheng

引用次数: 0

Comparison of TCSC and Fuel Cell with Optimal Placement of PMU for Voltage Stability Analysis 电压稳定性分析中PMU优化配置TCSC与燃料电池的比较

Journal of Engineering Science and Technology Review Pub Date : 2023-01-01 DOI: 10.25103/jestr.163.04

I. Kumaraswamy, B. Prasanth, S. Prabhu

引用次数: 0

Improving the Performance of Traffic Signal Control at Mid-block Pedestrian Crossings 改善街区中间人行横道的交通信号控制性能

Journal of Engineering Science and Technology Review Pub Date : 2023-01-01 DOI: 10.25103/jestr.162.09

M. Ragab, I. A. El-Naga

{"title":"Improving the Performance of Traffic Signal Control at Mid-block Pedestrian Crossings","authors":"M. Ragab, I. A. El-Naga","doi":"10.25103/jestr.162.09","DOIUrl":"https://doi.org/10.25103/jestr.162.09","url":null,"abstract":"Traffic signals controls at pedestrian crossings have a significant effect on the operational performance of road traffic. They interrupt the operations of the traffic stream. Therefore, the objective of this research is to improve the performance of traffic signal control at mid-block pedestrian crossings. This objective can be achieved by optimization of the signal timing plans. Two mid-block pedestrian crossings located in Cairo-Suez desert road in Suez City, Egypt were selected in this study. They are controlled by traffic signals. The selected pedestrian crossings were modeled and analyzed using the micro-simulation software VISSIM. The collected data were used to calibrate and validate the developed model. Signal timing models were developed for the selected pedestrian crossings. They used for optimization of vehicle delay and pedestrian delay times. Various values of performance index function (PI) are generated for different values of cycle length (C); then, the minimum value of PI is selected as the optimum design. The results showed that the changing of signal timing was successful in improving the operational performance of the traffic signals under study.","PeriodicalId":15707,"journal":{"name":"Journal of Engineering Science and Technology Review","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75060497","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

Improvıng Inventory Tıme in Productıon Lıne through Value Stream Mappıng: A Case Study Improvıng库存Tıme在Productıon Lıne通过价值流Mappıng:一个案例研究

Journal of Engineering Science and Technology Review Pub Date : 2023-01-01 DOI: 10.25103/jestr.161.05

N. Nguyen, T. Vo, Phan-Hung Le, Chia-Nan Wang

引用次数: 1

Study on Thermal-moisture Migration Patterns of Saturated Clayey Soil during Repeated Segregation Frost Heaving and Thawing 饱和粘性土反复分离冻胀和融化过程热湿迁移模式研究

Journal of Engineering Science and Technology Review Pub Date : 2023-01-01 DOI: 10.25103/jestr.161.20

Wenjun Nie, D. Rui, Qinghao Meng, Jun Zhang

引用次数: 0

An Advance Boosting Approach for Multiclass Dry Bean Classification 一种改进的多类干豆分类Boosting方法

Journal of Engineering Science and Technology Review Pub Date : 2023-01-01 DOI: 10.25103/jestr.162.14

Janmenjoy Nayak, Pandit Byomakesha Dash, B. Naik

{"title":"An Advance Boosting Approach for Multiclass Dry Bean Classification","authors":"Janmenjoy Nayak, Pandit Byomakesha Dash, B. Naik","doi":"10.25103/jestr.162.14","DOIUrl":"https://doi.org/10.25103/jestr.162.14","url":null,"abstract":"Dry beans, which are produced in large quantities, have the highest level of genetic diversity. The quality of seeds has a significant impact on crop yield. The importance of seed classification to both marketing and production can be shown by realizing that sustainable agricultural systems depend on these principles. This research is primarily aimed at providing a means to generate uniform seed varieties, as seed is not certified as a single variety. To achieve consistent seed classification, we have proposed Extreme Gradient Boosting ensembles using the Synthetic Minority Over-Sampling Methodology (SMOTE) to differentiate seven distinct registered types of dry beans with similar characteristics. There were a total of 13,611 grains from seven different varieties of dry beans sampled for the classification model. Classification algorithms based on machine learning like Decision Tree (DT), Support Vector Machine (SVM), Multilayer Perceptron (MLP), Adaptive Boosting classifier, Bagging Classifier, and Extreme Gradient Boosting ensembles using the Synthetic Minority Over-Sampling Methodology (SMOTE) were developed and compared. Overall correct classification rates for SVM, MLP, DT, Adaboost, Bagging, and Extreme Gradient Boost classifiers were 94.44%, 94.48%, 96.53%, 96.35%, 96.89%, and 97.32%, respectively. Extreme Gradient Boosting ensembles using the SMOTE classification model have the best accuracy. The results of this study satisfy the producers' and customers' demand for uniform bean varieties.","PeriodicalId":15707,"journal":{"name":"Journal of Engineering Science and Technology Review","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82046896","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