Pub Date : 2023-06-08DOI: 10.30534/ijeter/2023/011162023
Peter Ereh Oko, O. Egbai, B. Usibe, B. A. Ambe, C. Ochiche
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
2022年1月至7月，对湿润热带细沟侵蚀通道的增殖进行了农业生态评估。该研究的目的是寻求使用多种作物防止细沟侵蚀通道扩散的可能性；香根草、马铃薯、花生和休耕植被的侵蚀控制。研究使用了代表区块1、2和3的每美分4、5和6的不同土地坡度。从每个单元采集土壤样本，用于实验室测定土壤质地特征。在每个斜坡上划定10米x 80米的地块，形成一个区块。针对每种作物覆盖类型，从每个区块划定10m x 10m的子地块。现场测量参数，即：；完成了细沟侵蚀通道的数量、通道的长度、宽度和深度。对每个作物小区的细沟总数进行统计分析，以确定其变异系数（CV）。指出了香根草、土豆、花生、休耕植被和对照区的CV值；分别为40.50%、31.11%、60.62%、38.00%和62.50%。渠道特征分析结果表明，休耕区渠道数量最低，分别为1.8条、宽2.3cm和长142.5cm。香根草地记录的平均长度和深度分别为143cm和1.6cm，马铃薯总深度为2.2cm，长度为194.3cm。休耕地记录的结果相似，表明香根草、马铃薯和休耕植被具有相似的侵蚀控制潜力。相反，细沟的最大长度、宽度、深度和数量被追踪到对照地块，平均有3.8个溢洪道，深度为4.8厘米，宽度为25.8厘米，平均长度为312.5厘米，其次是花生地块。意味着，在潮湿的热带地区选择正确的作物可以保证土壤保护和作物生产
{"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}
Pub Date : 2023-06-08DOI: 10.30534/ijeter/2023/021162023
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.
{"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}
Pub Date : 2023-06-08DOI: 10.30534/ijeter/2023/031162023
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.
{"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}
Pub Date : 2023-05-15DOI: 10.30534/ijeter/2023/041152023
In this paper, an 8-bit Vedic multiplier is designed. The performance of the system basically works better if the performance of the multiplier is good. In today's digital time, Multiplier is one which consumes power at the same time speed of multiplier is playing very important aspects in this. Multiplier Optimization for power and delay both will play an important role. Adders such as Ripple carry adder and carry look-ahead adder and carry skip adder are also having a role in the selection of adder units in the multiplier. Here all the three adders are designed using transmission gates and compared using CMOS.
{"title":"Low Power High Performance 8bit Vedic Multiplier Using 16nm","authors":"","doi":"10.30534/ijeter/2023/041152023","DOIUrl":"https://doi.org/10.30534/ijeter/2023/041152023","url":null,"abstract":"In this paper, an 8-bit Vedic multiplier is designed. The performance of the system basically works better if the performance of the multiplier is good. In today's digital time, Multiplier is one which consumes power at the same time speed of multiplier is playing very important aspects in this. Multiplier Optimization for power and delay both will play an important role. Adders such as Ripple carry adder and carry look-ahead adder and carry skip adder are also having a role in the selection of adder units in the multiplier. Here all the three adders are designed using transmission gates and compared using CMOS.","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":"45061359","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}
Pub Date : 2023-05-15DOI: 10.30534/ijeter/2023/011152023
The modified TRNG (true random number generator) is mainly focused due to minimize the power wasted by the superfluous oscillations at higher frequency operations. To boost fan-out condition, random bits are collected from both phases of the slow ROs (Ring oscillators), and the fast RO is only engaged during the brief transition time difference between two slow ROs that are symmetrically built. In order to lower the power consumption of the suggested design, the slow jittery ROs are implemented utilising current starved inverters (CSI) biassed in the weak inversion zone. By decreasing the transistors' drain current and oscillation frequency, their jitter amplitudes are made more pronounced. The quickest three-stage RO quantizes the narrow jittery pulse produced by the differential pair of slow ROs. By counting the number of oscillatory cycles of the quick RO, a gigahertz dynamic toggled D flip-flop counter may be used to extract two random bits from each phase of the jittery ROs. The proposed TRNG is fabricated in a standard 45 nm using 1V supply of CMOS process.
{"title":"An Energy Efficient and High Performance Modified Trng based Two Phase Multi Bit Per Cycle Ring Oscillator for IoT Applications","authors":"","doi":"10.30534/ijeter/2023/011152023","DOIUrl":"https://doi.org/10.30534/ijeter/2023/011152023","url":null,"abstract":"The modified TRNG (true random number generator) is mainly focused due to minimize the power wasted by the superfluous oscillations at higher frequency operations. To boost fan-out condition, random bits are collected from both phases of the slow ROs (Ring oscillators), and the fast RO is only engaged during the brief transition time difference between two slow ROs that are symmetrically built. In order to lower the power consumption of the suggested design, the slow jittery ROs are implemented utilising current starved inverters (CSI) biassed in the weak inversion zone. By decreasing the transistors' drain current and oscillation frequency, their jitter amplitudes are made more pronounced. The quickest three-stage RO quantizes the narrow jittery pulse produced by the differential pair of slow ROs. By counting the number of oscillatory cycles of the quick RO, a gigahertz dynamic toggled D flip-flop counter may be used to extract two random bits from each phase of the jittery ROs. The proposed TRNG is fabricated in a standard 45 nm using 1V supply of CMOS process.","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":"48379593","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}
Pub Date : 2023-05-15DOI: 10.30534/ijeter/2023/021152023
Sentiment extraction is one of the most challenging tasks in Natural Language Processing (NLP). It is essential for analysing consumer and user feedback on social media sites and in the commercial world. Finding sentiments or emotions in raw text data and identifying their polarity, or whether they are positive or negative, is the main objective of sentiment extraction. This area has been the focus of various research projects for English and other significant natural languages. In this article, we offer a voting classification method that uses a variety of machine learning classifiers to extract sentiment from Bengali language text. We explored Logistic Regression, Decision Tree Classifier, Random Forest Classifier, Support Vector Classifier, Multinomial Nave Base and Ridge Classifier, and lastly, we used a voting classification strategy to extract sentiments from social media comments.
{"title":"A Voting classification approach for Sentiment Extraction from Bengali text","authors":"","doi":"10.30534/ijeter/2023/021152023","DOIUrl":"https://doi.org/10.30534/ijeter/2023/021152023","url":null,"abstract":"Sentiment extraction is one of the most challenging tasks in Natural Language Processing (NLP). It is essential for analysing consumer and user feedback on social media sites and in the commercial world. Finding sentiments or emotions in raw text data and identifying their polarity, or whether they are positive or negative, is the main objective of sentiment extraction. This area has been the focus of various research projects for English and other significant natural languages. In this article, we offer a voting classification method that uses a variety of machine learning classifiers to extract sentiment from Bengali language text. We explored Logistic Regression, Decision Tree Classifier, Random Forest Classifier, Support Vector Classifier, Multinomial Nave Base and Ridge Classifier, and lastly, we used a voting classification strategy to extract sentiments from social media comments.","PeriodicalId":13964,"journal":{"name":"International Journal of Emerging Trends in Engineering Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69214143","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}
Pub Date : 2023-05-15DOI: 10.30534/ijeter/2023/121152023
In this paper, a concept for Microstrip Patch antennas are presented. The antenna has a working frequency of 1.8-2.9 THz and a dielectric constant of 4. SiO2 is the substrate material. THz band communication will make it possible to use new applications, easing the wireless systems. Antennas are designed using CST simulation software. The designed antenna could be used for data transmission, spectroscopy, and a variety of sensors. The performance analyses of the S-parameter, Reference impedance, and total efficiency are calculated.
{"title":"Double Port MIMO Antenna for THz Applications using Graphene Patch","authors":"","doi":"10.30534/ijeter/2023/121152023","DOIUrl":"https://doi.org/10.30534/ijeter/2023/121152023","url":null,"abstract":"In this paper, a concept for Microstrip Patch antennas are presented. The antenna has a working frequency of 1.8-2.9 THz and a dielectric constant of 4. SiO2 is the substrate material. THz band communication will make it possible to use new applications, easing the wireless systems. Antennas are designed using CST simulation software. The designed antenna could be used for data transmission, spectroscopy, and a variety of sensors. The performance analyses of the S-parameter, Reference impedance, and total efficiency are calculated.","PeriodicalId":13964,"journal":{"name":"International Journal of Emerging Trends in Engineering Research","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135085706","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}
Pub Date : 2023-05-15DOI: 10.30534/ijeter/2023/081152023
Wireless networks of the future can take advantage of beamforming techniques in the millimeter wave (mmWave) and terahertz (THz) bands to effectively handle the immense bandwidths required. This opens up a world of possibilities for the advancement of wireless technology and the potential to create even faster and more efficient networks. To achieve directional beamforming gain, it is essential to have a reliable beam management (BM) framework that can track the best uplink and downlink beam pairs using traditional exhaustive beam scans (EBS). However, this requires extensive beam measurement, which can result in a significant overhead, especially for higher carrier frequencies and narrower beams. To tackle this issue, machine learning (ML) algorithms based on artificial intelligence (AI) are being created to detect and understand intricate mobility patterns and environmental changes. This article presents an overview of the current AIbased ML beam tracking (BT) techniques used in mmWave/THz bands for 5G and future networks, highlighting the essential features of an effective beam tracking framework.
{"title":"Review of Artificial Intelligence Based Beam Tracking Techniques for mmWave 5G and Beyond Networks","authors":"","doi":"10.30534/ijeter/2023/081152023","DOIUrl":"https://doi.org/10.30534/ijeter/2023/081152023","url":null,"abstract":"Wireless networks of the future can take advantage of beamforming techniques in the millimeter wave (mmWave) and terahertz (THz) bands to effectively handle the immense bandwidths required. This opens up a world of possibilities for the advancement of wireless technology and the potential to create even faster and more efficient networks. To achieve directional beamforming gain, it is essential to have a reliable beam management (BM) framework that can track the best uplink and downlink beam pairs using traditional exhaustive beam scans (EBS). However, this requires extensive beam measurement, which can result in a significant overhead, especially for higher carrier frequencies and narrower beams. To tackle this issue, machine learning (ML) algorithms based on artificial intelligence (AI) are being created to detect and understand intricate mobility patterns and environmental changes. This article presents an overview of the current AIbased ML beam tracking (BT) techniques used in mmWave/THz bands for 5G and future networks, highlighting the essential features of an effective beam tracking framework.","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":"48087176","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}
Pub Date : 2023-05-15DOI: 10.30534/ijeter/2023/101152023
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.
{"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}
Pub Date : 2023-05-15DOI: 10.30534/ijeter/2023/091152023
India is one of the biggest peninsulas in the world. A major part of trading, both by volume and value, is done through maritime transport in India. There are twelve major government owned ports that service this transport. Efficiency evaluation of these ports is crucial for the operators and managers to analyse their performance for further improvements. The present study uses the non parametric efficiency evaluation technique of data envelopment analysis (DEA) to measure the performance of these ports for the year 2019-2020. Technical, Pure Technical, scale and super efficiencies have been evaluated for the twelve major ports. Three out of twelve ports turned out to be efficient when evaluated by using the constant returns to scale model and six turned to be efficient when evaluated using variable returns to scale model. In order to give benchmarks to the inefficient ports, potential improvements in the input and output variables have also been discussed. It was observed that Kamarajar port in Tamil Nadu is the best performer while Mormugao in Goa is the least.
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