international journal of engineering technology and management sciences最新文献_第6页

An innovative app based design for improving the health of human beings 一个创新的基于应用程序的设计，以改善人类的健康

international journal of engineering technology and management sciences Pub Date : 2022-11-28 DOI: 10.46647/ijetms.2022.v06i06.049

Manasvi G. Kashyap, Joyeeta Bais, Maithri Shridhar Bhat, Mohammed Saalim Quadri, Adithya T.G., Pavithra G., Sindhu Sree M, T.C.Manjunath

{"title":"An innovative app based design for improving the health of human beings","authors":"Manasvi G. Kashyap, Joyeeta Bais, Maithri Shridhar Bhat, Mohammed Saalim Quadri, Adithya T.G., Pavithra G., Sindhu Sree M, T.C.Manjunath","doi":"10.46647/ijetms.2022.v06i06.049","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.049","url":null,"abstract":"In this paper, we present the design & development of a robust health wealth app that could be used by many of the human beings during the exercises, to keep physically fit, etc. The research presented in the paper highlights the creation of a health-wealth app. Smart phones and other contemporary handheld devices have recently increased in power. It's time to cease wasting resources because the world's resources are currently running out. One of the causes of depletion is people not knowing when consumables expire. This is because there are so many possibilities for materials now that it is\u0000difficult for people to remember when things expire. As a result, we are launching a mobile application that has the ability to track and add consumables' expiration dates. By providing health advice and intriguing life hacking tidbits, we also add a cool touch. Nowadays, individuals purchase items from the store and retain them for a number of days before using them, causing the item to expire and wasting resources. The other issue is that consumers often consume products that are too old and have health problems as a result. We want to cease squandering resources and have a healthy\u0000society. You can track, monitor, and manage your health using the Health Wealth Safe app, all from your phone. The effectiveness of the built app is demonstrated by the usage of the app by regular people after it was published to the play store. The work presented here is the mini-project work of the 2nd sem students of electronics & communication engineering department of dayananda sagar college of engg., bangalore.","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132128822","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 thermal and mask screening system 自动热屏蔽系统

international journal of engineering technology and management sciences Pub Date : 2022-11-28 DOI: 10.46647/ijetms.2022.v06i06.061

Aditya Singh, Ayaan Shakil, Shrushti Pattar, Niveditha K.M, M. Sindhu Shree, Adithya T.G., Pavithra G., T.C.Manjunath

引用次数: 0

A Review on Medicinal Plant Leucas Aspera 药用植物藜属植物研究进展

international journal of engineering technology and management sciences Pub Date : 2022-11-28 DOI: 10.46647/ijetms.2022.v06i06.019

Keshamma E.

引用次数: 0

DESIGN OF LOW POWER HIGH SPEED CNTFET ADDER SUBTRACTOR 低功率高速加减法器的设计

international journal of engineering technology and management sciences Pub Date : 2022-11-28 DOI: 10.46647/ijetms.2022.v06i06.114

UPPARI VIJAYA LAKSHMI, K PRASAD BABU

{"title":"DESIGN OF LOW POWER HIGH SPEED CNTFET ADDER SUBTRACTOR","authors":"UPPARI VIJAYA LAKSHMI, K PRASAD BABU","doi":"10.46647/ijetms.2022.v06i06.114","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.114","url":null,"abstract":"Multi-valued logic design itself is not sufficient to achieve the performance improvement in digital system design in nanotechnology. The need to replace silicon devices with some more efficient new devices are required so as to meet the power improvements in the nanoscale region. Among various devices explored, CNTFET is the most promising alternative to replace conventional MOS transistors. These nano devices have the benefits of low power consumption due to reduced leakage component, ballistic transport operation even at low supply voltages makes them suitable for high\u0000frequency and low voltage applications. MVL circuitry has soared in popularity because the threshold voltage of the CNFET device is somewhat adjustable by the diameter of carbon nanotubes. CNFET is used for high performance, high stability and low-power circuit designs as an alternative material to silicon in recent years. Carbon Nanotube Filed-Effect Transistor (CNFET) is one of the promising alternatives to the MOS transistors. The geometry- dependent threshold voltage is one of the CNFET\u0000characteristics, which is used in the proposed design. In this paper, we present a novel high speed Adder-subtractor cell using CNFETs based on XOR gates and multiplexer. Proposed design uses fourteen transistors, ten for full adder and four to modify the cell for subtraction. Simulation results show significant improvement in terms of delay and area saving with respectively compared to the latest design. Simulations were carried out using HSPICE based on CNFET model with optimized design parameters. All designs are simulated at 32nm CNFET with HSPICE. The simulation results show that on average, speed enhancement and area saving of 48% and 11% can be achieved with\u0000optimized parameters design over default values of these parameters. The cumulative benefits of the novel adder-subtractor design based CNFET result in an PDP reduction by a factor of 41%.","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127879059","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 Framework to Predict Adverse Drug Reactions from Electronic Health Records 从电子健康记录中预测药物不良反应的机器学习框架

international journal of engineering technology and management sciences Pub Date : 2022-11-28 DOI: 10.46647/ijetms.2022.v06i06.083

E. Ponraj, J. Charles

{"title":"A Machine Learning Framework to Predict Adverse Drug Reactions from Electronic Health Records","authors":"E. Ponraj, J. Charles","doi":"10.46647/ijetms.2022.v06i06.083","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.083","url":null,"abstract":"The advent of medical industry is immense in the recent years, with increasing epidemics, pandemics and endemics, thereby ensuring proper treatment to the patients with affordable medications. Right from the chemical compositions, the manufacturing involves a huge procedural overhead along with the clinical trials and pre-marketing studies. Such medications have to clear stringent norms and policies in order to reach the market, during which, the medication should exhibit compliance to lesser\u0000side effects, and increased control over the diseases. Adverse Drug Reactions (ADR) are typically reactions which are unintended and may result in harmful effects over the patients. Multiple models understand the data collected from various sources to monitor the effects of medications in regular intervals, in order to prepare for counter actions. The risk of side effects and adverse drug reactions can be reduced with timely detection of drug to protein interaction and drug to drug interactions. It is a practice of co-prescriptions for addressing multiple medical conditions in elderly people and\u0000patients with multiple ailments. Compared to the previous manual techniques, prediction of adverse drug reactions was carried out using machine learning techniques lately. The proposed technique introduces a novel mechanism using regularized logistic regression technique to effectively trace the drug-to-drug interactions. The datasets are considered from openly available sources, and electronically stored information are fed into regression models for finding relevant patterns. Empirical studies applied with necessary cross validation checks and numerous failproof tests deliver promising outcomes in form of drug-ADR targeted profiles for signifying the results of the supposed study. From the investigative results, it is evident that the proposed technique ensures utmost quality and interesting insights for making appropriate biological and protein-drug based decisions.","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127904497","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

An AI and Cloud Based Collaborative Platform for PlantDisease Identification, Tracking and Forecasting for Farmers 基于人工智能和云的植物病害识别、跟踪和预测协同平台

international journal of engineering technology and management sciences Pub Date : 2022-11-28 DOI: 10.46647/ijetms.2022.v06i06.091

Addakula Lavanya, T.Murali Krishna

{"title":"An AI and Cloud Based Collaborative Platform for PlantDisease Identification, Tracking and Forecasting for Farmers","authors":"Addakula Lavanya, T.Murali Krishna","doi":"10.46647/ijetms.2022.v06i06.091","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.091","url":null,"abstract":"Plant diseases are a major threat to farmers, consumers, environment and the global\u0000economy. In India alone, 35% of field crops are lost to pathogens and pests causing lossesto farmers. Indiscriminate use of pesticides is also a serious health concern as many are toxic and biomagnified. These adverse effects can be avoided by early disease detection, crop surveillance and targeted treatments. Most diseases are diagnosed by agricultural experts by examining external symptoms. However, farmers have limited access to experts. Our project is the first integrated and collaborative platform for automated disease diagnosis, tracking and forecasting. Farmers can instantly and\u0000accurately identify diseases and get solutions with a mobile app by photographing affected plant parts. Real- time diagnosis is enabled using the latest Artificial Intelligence (AI) algorithms for Cloud-based image processing. The AI model continuously learns from user uploaded images and expert suggestions to enhance its accuracy. Farmers can also interact with local expertsthrough the platform.\u0000For preventive measures, disease density maps with spread forecasting are rendered from a Cloud based repository of geo-tagged images and micro-climactic factors. A web interface allows experts to perform disease analytics with geographical visualizations. In our experiments, the AI model (CNN) was trained with large disease datasets, created with plant images self-collected from many farms over 7 months. Test images were diagnosed using the automated CNN model and the results were validated by plant pathologists. Over 95% disease identification accuracy was achieved. Our solution is a novel, scalable and accessible tool for disease management of diverse agricultural crop\u0000plants and can be deployed as a Cloud based service for farmers and experts for ecologically sustainable crop production.","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"XCVII 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128660862","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

Men’s Front Open Trunks 男式前敞篷泳裤

international journal of engineering technology and management sciences Pub Date : 2022-11-28 DOI: 10.46647/ijetms.2022.v06i06.028

Catherine Samson, Haripriya A

{"title":"Men’s Front Open Trunks","authors":"Catherine Samson, Haripriya A","doi":"10.46647/ijetms.2022.v06i06.028","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.028","url":null,"abstract":"This project is about finding the issues men are facing using regular briefs and trunks that are currently available in our market. As we all are aware that men are facing certain issues by using briefs and front open trunks. These issues includes fertility problems ,style , problems while they pee, genital allergies etc. Undies too tight: This can really get to you and ruin your entire game. In a tightly-packed room.Waistband impressions: Itchy, irritating and unbearable. That’s waistband impressions for you.\u0000.Chafing: Caused because of sweat and the rubbing of your underwear fabric with your skin. This can be quite problematic.Belly Lip: The belly lip is to men what muffin top is to women. Belly fat bulging out of tight waistbands, that’s not the best thing to flash by the beach or anywhere really.Dampness could this be the worst of all underwear problems? Many men seem to agree. The moisture can get so bad for some it’s like walking out of a pool with your clothes on.Wearing tight underwear can be uncomfortable, and in some cases it may have adverse effects on your health. For men , wearing tight underwear can push the scrotum against the body, causing the testes to rise in temperature. This has shown in some research to correlate with a lower sperm count.Here we study about all the issues faced by men using under-wears.Design and Styling of Men's Front Open Trunks . The objective is to come up with a modern and stylish design that is comfortable to wear and is also functional. The project has involved the use of CAD software to create the design, and the final product was made\u0000and let few selected members have used it to know the exact review of the product.","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"628 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116406956","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

Development of music rhythm based LED’s in a circular fashion 以循环方式开发基于音乐节奏的LED

international journal of engineering technology and management sciences Pub Date : 2022-11-28 DOI: 10.46647/ijetms.2022.v06i06.052

Bhoomika V., Bhuvana B., Harsha B.S., Saurav Kumar, Adithya T.G., Pavithra G., Sindhu Sree M, T.C.Manjunath

{"title":"Development of music rhythm based LED’s in a circular fashion","authors":"Bhoomika V., Bhuvana B., Harsha B.S., Saurav Kumar, Adithya T.G., Pavithra G., Sindhu Sree M, T.C.Manjunath","doi":"10.46647/ijetms.2022.v06i06.052","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.052","url":null,"abstract":"In this paper, we present the development of music rhythm based LED’s in a circular fashion. This article provides a concise overview of the mini project work that we undertook, which involved the design and development of the Music Rhythm LEDs. The primary goal of our project is to create Music Rhythm LEDs that can be used for DJ lights, disco lights, or lighting during a party and that turn ON and OFF in time with the beats or rhythm of the music. A microphone and BC547 on a PCB can be used to create this Music Rhythm LED's Circuit, which will cause the led to flash in time with\u0000the music. The transistor will enhance the electric pulse that the microphone produces when it detects the rhythm of the song, which will cause the linked led to begin flashing. Just a few components are needed to make this very straightforward circuit. An application is implemented realistically when the work comes to a close. The created prototype demonstrates the effectiveness and strength of the invention. The work presented here is the mini-project work of the 2nd sem students of electronics &\u0000communication engineering department of dayananda sagar college of engg., bangalore.","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115209572","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

WELFAKE – WORD EMBEDDING OVER LINGUISTIC FEATURES FOR FAKE NEWS DETECTION Welfake -基于语言特征的词嵌入假新闻检测

international journal of engineering technology and management sciences Pub Date : 2022-11-28 DOI: 10.46647/ijetms.2022.v06i06.080

Barath M, Sangeethkumar C, Naveen N, Karthickram S, Partha Sarathi P

{"title":"WELFAKE – WORD EMBEDDING OVER LINGUISTIC FEATURES FOR FAKE NEWS DETECTION","authors":"Barath M, Sangeethkumar C, Naveen N, Karthickram S, Partha Sarathi P","doi":"10.46647/ijetms.2022.v06i06.080","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.080","url":null,"abstract":"News is the only mode and set of information that helps the public to know what's happening everyday globally. We have started our path of reading news digitally, by which many \"Fake news\" are being circulated. Fake news is false or misleading information presented as news. Fake news often has the aim of damaging the reputation of a person or entity, or making money through advertising revenue.\u0000People unknowingly believe those fake news as original one without any analysis or study. Since the machine cannot read the words we use, we are going to use “ML model” to train our dataset to the machine. Our project is a two-phase benchmark model named WELFake based on word embedding where each and all words are converted into numerical values which is further processed to classify\u0000based on certain matching property using machine learning. The first phase preprocesses the data set and validates the veracity of news content by using linguistic features. The second phase merges the linguistic feature sets with WE(Word Embedding) and applies voting classification. The classification is based on words and meaning matching and this matching percentage should be above a threshold\u0000value we fix. In this paper we are going to discuss about choosing the best algorithm based on our needs and accuracy and complete the task successfully","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123742520","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

DETECTING MALICIOUS TWITTER BOTS USING MACHINE LEARNING 使用机器学习检测恶意推特机器人

international journal of engineering technology and management sciences Pub Date : 2022-11-28 DOI: 10.46647/ijetms.2022.v06i06.068

Sopinti Chaitanya Raj, B.Srinivas.S.P.Kumar

{"title":"DETECTING MALICIOUS TWITTER BOTS USING MACHINE LEARNING","authors":"Sopinti Chaitanya Raj, B.Srinivas.S.P.Kumar","doi":"10.46647/ijetms.2022.v06i06.068","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.068","url":null,"abstract":"In today's world, Twitter is used often & has taken on significance in lives about many\u0000individuals, including businessmen, media, politicians, & others. One about most popular social networking sites, Twitter enables users towards share their opinions on a range about subjects, including politics, sports, financial market, entertainment, & more. It is one about fastest methods about information transfer. It significantly influences how individuals think. There are more people on Twitter who mask their identities for malicious reasons. Because it poses a risk towards other\u0000users, it is important towards recognise Twitter bots. Therefore, it is crucial that tweets are posted through real people & not Twitter bots. A twitter bot posts spam-related topics. Thus, identifying bots aids in identifying spammessages. Twitter account attributes are used as Features in machine learning algorithms towards categorise users as real or false. In this study, we employed Decision Tree, Random Forest, &Multinomial Naive Bayes as three machine learning methods towards determine\u0000if an account was authentic or not. algorithms' accuracy & classificationperformance are compared. Multinomial Naive Bayesmethod has an accuracy about 89%, Random Forest algorithm about 90%, & Decision Tree algorithm about 93%. As a result, it can be seen that Decision tree performs among greater accuracy than Random Forest & Multinomial Nave Bayes.","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121954012","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