International Journal of Emerging Trends in Engineering Research最新文献_第6页

Agro-ecological Assessment of the Preponderance of Rill Erosion Channels under Different Land Cover Types in Humid Tropics of Akamkpa, Southeastern Nigeria 尼日利亚东南部阿卡姆帕热带潮湿地区不同土地覆盖类型下细沟侵蚀通道优势的农业生态评估

International Journal of Emerging Trends in Engineering Research Pub Date : 2023-06-08 DOI: 10.30534/ijeter/2023/011162023

Peter Ereh Oko, O. Egbai, B. Usibe, B. A. Ambe, C. Ochiche

{"title":"Agro-ecological Assessment of the Preponderance of Rill Erosion Channels under Different Land Cover Types in Humid Tropics of Akamkpa, Southeastern Nigeria","authors":"Peter Ereh Oko, O. Egbai, B. Usibe, B. A. Ambe, C. Ochiche","doi":"10.30534/ijeter/2023/011162023","DOIUrl":"https://doi.org/10.30534/ijeter/2023/011162023","url":null,"abstract":"Agro-ecological assessment of proliferation of rill erosion channels in the humid tropic was conducted between January and July 2022. The purpose of the study was to seek possibility of preventing proliferation of rill erosion channels using a variety of crops; vetiver grass, potato plant, groundnut and fallow vegetation in erosion control. Different land slopes of 4, 5 and 6 per cents representing blocks 1,2 and 3 were used for the study. Soil samples were collected from each unit for laboratory determination of soil textural characteristics. Plots dimension of 10m x 80m were delineated on each slope to form a block. Sub plots of 10m x 10m were delineated from each block for each crops cover types. In-situ measurement of parameters, viz; number of rill erosion channels, length, width and depth of channels were accomplished. The total number of rill channels from each crops’ plot was statistically analyzed to determine their Coefficient of Variation (CV). The CV values for vetiver, potatoes, groundnut, fallow vegetation and control plot indicated; 40.50%, 31.11%, 60.62%, 38.00% and 62.50% respectively. Result of channel characteristics showed that fallow plot recorded the lowest number of channels of 1.8, width of 2.3cm and length of 142.5cm respectively. Average length and depth recorded in vetiver plots are 143cm and 1.6cm, Potatoes has a total depth of 2.2cm and length of 194.3cm. Similar result was recorded in fallow plot, indicating that vetiver, potatoes and fallow vegetation exhibited similar erosion control potential. Conversely, the highest length, width and depth and number of rill channels were traced to control plot with a mean of 3.8 spillways, depth of 4.8cm, width of 25.8cm and mean length of 312.5cm seconded by groundnut plot. Implying, soil protection as well as crop production can be guaranteed with the right choice of crops in the humid tropics","PeriodicalId":13964,"journal":{"name":"International Journal of Emerging Trends in Engineering Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47815532","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

Dual Axis Solar Power Tracking System 双轴太阳能跟踪系统

International Journal of Emerging Trends in Engineering Research Pub Date : 2023-06-08 DOI: 10.30534/ijeter/2023/021162023

{"title":"Dual Axis Solar Power Tracking System","authors":"","doi":"10.30534/ijeter/2023/021162023","DOIUrl":"https://doi.org/10.30534/ijeter/2023/021162023","url":null,"abstract":"In the current world, electrical energy has surpassed all other important resources. However, it still hasn't been able to reach every corner of the globe, mainly rural places. Energy production has also come under threat from the quick depletion of fossil fuels and greenhouse gas emissions. As a result, finding other methods of energy generation is crucial. Solar energy is the greatest underutilized renewable energy source and has the potential to meet all of our energy needs entirely. Using solar photovoltaic panels allows for easy exercise. However, it has been noted that the majority of solar panels are positioned at fixed angles. The solar tracking device is used to keep the solar panel towards the sun throughout the day in order to capture as much incident solar energy as possible, increasing the system's performance ratio. The Dual Axis Solar Power Tracker, which combines software programming for the microcontroller unit with hardware design and implementation, can be used to accomplish this. To move two DC gear motors, which spin the solar panel in two axes, the system used an ATmega328P microcontroller. The microprocessor estimates rotating speed based on data collected from four light sensing sensors that are placed strategically close to a solar panel. As a result, solar panels are able to provide more output power.","PeriodicalId":13964,"journal":{"name":"International Journal of Emerging Trends in Engineering Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48551879","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

A Machine Learning Approach for Prediction of Diabetes Mellitus 一种预测糖尿病的机器学习方法

International Journal of Emerging Trends in Engineering Research Pub Date : 2023-06-08 DOI: 10.30534/ijeter/2023/031162023

{"title":"A Machine Learning Approach for Prediction of Diabetes Mellitus","authors":"","doi":"10.30534/ijeter/2023/031162023","DOIUrl":"https://doi.org/10.30534/ijeter/2023/031162023","url":null,"abstract":"Diabetes Mellitus is among chronic diseases and lots of people are suffering with this disease. It may cause many complications and have a high risk of diseases like heart disease, kidney disease, stroke, eye problem, nerve damage, etc. There is no doubt that this alarming figure needs great attention. With the rapid development of Machine Learning, machine learning has been applied to many aspects of medical health. There are several Machine learning algorithms that are used to perform predictive analysis in various fields. Predictive analysis in healthcare is a challenging task but ultimately can help practitioners make data informed about a patient's health and treatment. In this project, for experiment purposes, we have taken a dataset which is originally from the National Institute of diabetes and digestive and kidney diseases. All patients here are females at least 21 years old of Pima Indian heritage. By studying the dataset, we must find hidden information, hidden patterns to discover knowledge from the data and predict outcomes accordingly. The objective of this project is to diagnostically predict whether the patient has diabetes or not, based on certain diagnostic measurements included in the dataset. We have proposed a diabetes prediction model for better classification of diabetes by applying some popular machine learning algorithms namely, Logistic Regression, Random Forest Algorithm and KNN Algorithm to predict Diabetes.","PeriodicalId":13964,"journal":{"name":"International Journal of Emerging Trends in Engineering Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45259365","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

Low Power High Performance 8bit Vedic Multiplier Using 16nm 使用16nm的低功耗高性能8位吠陀乘法器

International Journal of Emerging Trends in Engineering Research Pub Date : 2023-05-15 DOI: 10.30534/ijeter/2023/041152023

引用次数: 0

An Energy Efficient and High Performance Modified Trng based Two Phase Multi Bit Per Cycle Ring Oscillator for IoT Applications 一种用于物联网应用的节能高性能改进的基于Trng的每周期二相多位环形振荡器

International Journal of Emerging Trends in Engineering Research Pub Date : 2023-05-15 DOI: 10.30534/ijeter/2023/011152023

引用次数: 0

A Voting classification approach for Sentiment Extraction from Bengali text 一种孟加拉文本情感抽取的投票分类方法

International Journal of Emerging Trends in Engineering Research Pub Date : 2023-05-15 DOI: 10.30534/ijeter/2023/021152023

引用次数: 0

Double Port MIMO Antenna for THz Applications using Graphene Patch 使用石墨烯贴片的双端口MIMO天线用于太赫兹应用

International Journal of Emerging Trends in Engineering Research Pub Date : 2023-05-15 DOI: 10.30534/ijeter/2023/121152023

引用次数: 0

Review of Artificial Intelligence Based Beam Tracking Techniques for mmWave 5G and Beyond Networks 基于人工智能的毫米波5G及更远网络波束跟踪技术综述

International Journal of Emerging Trends in Engineering Research Pub Date : 2023-05-15 DOI: 10.30534/ijeter/2023/081152023

引用次数: 0

Selecting IOT WSNIDS Based on Metrics User Necessity Weight Approach 基于度量用户需求权重法选择物联网WSNIDS

International Journal of Emerging Trends in Engineering Research Pub Date : 2023-05-15 DOI: 10.30534/ijeter/2023/101152023

{"title":"Selecting IOT WSNIDS Based on Metrics User Necessity Weight Approach","authors":"","doi":"10.30534/ijeter/2023/101152023","DOIUrl":"https://doi.org/10.30534/ijeter/2023/101152023","url":null,"abstract":"Internet of Things (IoT) WSNIDS is a network security software that is built for detection of vulnerability exploits against attacks. The choice of WSNIDS depends on the IoT architecture and application. The administrator is the one who will decide which WSNIDS will be the best solution for the sensor network. Not one solution is possible that is going to work for all, so administrator has to equate the abilities that individual WSNIDS provide along with economical, information and desires to find one that works top for them. The concept in this paper offers a user requirement weight-based method to WSNIDS choice for IoT. We primary discuss user WSNIDS requirements and WSNIDS metrics, after that for each WSNIDS necessity we match the metric(s) that are concerned. User are required to lists their WSNIDS necessities in a limited collection that are significant ranging from least to most. User necessities are frequently indicated in a positive form or transformed to the optimistic form. The initial requisite (i.e., minimum significant) is allocated the lowest weight (e.g., one) while the remaining requirements are allocated growing weights in proportion to their relative importance. Once the necessities are weighted, each WSNIDS metric is allocated a weight that is identical to the totality of the weights of the necessities it is going to contribute. WSNIDS metrics are organized in downward sequence where metric having maximum weight is at the topmost position. Suitable WSNIDS means may be selected after match is done between the metrics weight and WSNIDS features.","PeriodicalId":13964,"journal":{"name":"International Journal of Emerging Trends in Engineering Research","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44465019","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

Data Envelopment Analysis (DEA) Based Study of Major Sea Ports of India 基于数据包络分析（DEA）的印度主要海港研究

International Journal of Emerging Trends in Engineering Research Pub Date : 2023-05-15 DOI: 10.30534/ijeter/2023/091152023

引用次数: 0