international journal of engineering technology and management sciences最新文献

{"title":"Prototype Model for Waste Management in Running Trains ofIndia","authors":"ARAVIND SURYA K, RHAMANAN M, MUKESH C, PARAMESHWARAN A, ARUNKUMAR S","doi":"10.46647/ijetms.2022.v06i06.103","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.103","url":null,"abstract":"Indian Railways is the largest public sector undertaking in India but suffers from a major problem of inefficient waste management system. This is a problem of dry and wet waste generated inside the running train and around the railway tracks resulting in unhygienic trains and unclean railway tracks. Everyday nearly 23 million people travel in 7000 passengers trains inIndia. The area around the railway track in India is about 16000 kms which has never been cleaned. It is estimated that approximately 6289 tons of plastic finds its way into India’s railway tracks every day. This enormous generation of waste is leading to undesirable health issues besides environmental pollution. In this\u0000backdrop, in this project a prototype technological modelis being developed which can help to solve this problem. A smart dustbin is placed in each compartment of all the bogies in a train wherein both the dry and wet waste are collected, segregated and crushed. With the help of the belt conveyor, this crushed dry and wet waste is carried from all the compartments and bogies to the centralized bin of the train. This technological prototype model facilitates to manage the enormous dry and wet waste\u0000generated inside the running train effectively and efficiently. This will benefit the recycling industries to generate the revenue besides helping to keep the trains and railway tracks clean.","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"40 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":"114945436","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}

{"title":"Design & development of an third eye for the blind personnels","authors":"Akash R, Maya Srinivas, Venugopal Rao S, Sanjan Kashyap, Adithya T.G., Pavithra G., Sindhu Sree M, T.C.Manjunath","doi":"10.46647/ijetms.2022.v06i06.055","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.055","url":null,"abstract":"In this paper, we present the design & development of an third eye for the blind personnels, which serves as a boon for all the people who are handicapped and cannot see with their human eyes and hence they have to make use of a device which will help them to see what is there in the front of them. One of the biggest difficulties faced by people who are blind in daily life is mobility. Loss of vision severely limits their quality of life and range of activities. They often navigate utilising a blind navigation system or by employing their long-term exploration memories. The main goal of the current effort is to create an efficient navigational solution that is low cost, dependable, portable, userfriendly, low power, and sturdy. 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":"32 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":"123980900","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}

{"title":"Development of a electronic prototype for the car accident alert system for the drivers","authors":"Mansi Hatwar, Anjana R, Aditi Akundi, Varshini M, Adithya T.G., Pavithra G., Sindhu Sree M, T.C.Manjunath","doi":"10.46647/ijetms.2022.v06i06.060","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.060","url":null,"abstract":"In this paper, the design & development of a car accident alert system for the driver is presented. One of the basic reasons for road accidents is speed. Road accidents are rising suddenly today and are one of the key causes of human deaths. Human life is more important than anything else, and timely assistance is more important than lending a helping hand. If emergency service could get accident reports and reach it in time, more lives could have been saved. In saving human lives, the time between the accident and when the ambulance reaches the site of the accident plays an important role. If we reduce the time between when an accident happens and when a medical ambulance is dispatched to the area, we can save human lives by reducing mortality rates. GPS has become an integral part of a vehicle system nowadays. The accelerometer senses a sudden shift in the vehicle's axles. It will be tested by Arduino UNO. The Arduino sends the warning message via the GSM module to the police\u0000control room or a rescue team, including the location. So, after receiving the information, the police can automatically track the location via the GPS module. The work presented here is the mini-project work of the second semester engineering students of electronics & communication engineering department of Dayananda Sagar College of Engg., Bangalore, Karnataka.","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"12 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":"116242932","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}

{"title":"NEURALLINK","authors":"Martin Jacob, Cini Joseph, Arun Kumar R, M B Abin, Antony John","doi":"10.46647/ijetms.2022.v06i06.003","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.003","url":null,"abstract":"Brain-computer interfaces (BCIs) hold promise for the restoration of sensory and motor function and the treatment of neurological disorders, but clinical BCIs have not yet been widely adopted, in part because modest channel counts have limited their potential. Inthis white paper, we describe Neuralink’s first steps toward a scalable high-bandwidth BCI system. We have built arrays of small and flexible electrode “threads”, with as manyas 3,072 electrodes per array distributed across96 threads. We have also built a neurosurgical robot capable of inserting six threads (192 electrodes) per minute. Each thread can be individually inserted into the brain with micron precision for avoidance of surface vasculature and targeting specific brain regions. The electrode array is packaged into a small implantable device that contains custom chips for lowpower on-board amplification and digitization: the package for 3,072 channels occupiesless\u0000than (23 × 18.5 × 2) mm3. A single USB-Cable provides full-bandwidth data streaming from the device, recording from all channels simultaneously. This system has achieved a spiking yield of up to 85.5 % inchronically implanted electrodes. Neuralink’s approach to BCI has unprecedented packaging density and scalability in a clinically relevant package.","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"26 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":"122509038","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}

{"title":"A TECHNICAL SURVEY ON IDENTIFICATION AND DIAGNOSIS OF DISEASES USING DEEP LEARNING","authors":"S. Krithika, S. Prabhu","doi":"10.46647/ijetms.2022.v06i06.073","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.073","url":null,"abstract":"This article provides a comprehensive review of recent developments in deep learning, including both its theoretical underpinnings and its innovative practical applications. This article provides a historical overview of the significant uses of deep learning algorithms. Comparing the deep learning approach with more traditional algorithms, this article highlights the method's advantages and benefits. This includes the deep learning approach's layer-based hierarchy and nonlinear operations. The state-of the-art review also gives a high-level explanation of deep learning's advantages and growth in\u0000popularity. With deep learning, meaningful hierarchical linkages within the data can be discovered algorithmically without the need for painstaking hand-crafting of features, which is especially useful in the era of medical big data. We discuss the state-of-the-art in medical picture segmentation, localization, detection, and registration, as well as its most important applications.","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"120 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":"127292239","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}

{"title":"Design & development of an LED distance indicator","authors":"Aditi Kulkarni,, P. Sai Laasya, Pritha, Priya M.S., Adithya T.G., Pavithra G., Sindhu Sree M, T.C.Manjunath","doi":"10.46647/ijetms.2022.v06i06.037","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.037","url":null,"abstract":"The work presented in this paper highlights about the design & development of an LED indicator for various of engineering applications. The project is designed to develop distance measurement system using ultrasonic waves and interfaced with Arduino. We know that human audible range is 20hz to 20khz. We can utilize these frequency range waves through ultrasonic sensor HC-SR04.The advantages of this sensor when interfaced with Arduino which is a control and sensing system, a proper distance measurement can be made with new techniques. As large amounts are spent for hundreds of inflexible circuit boards, the Arduino will allow businessto bring many more unique devices. This distance measurement system can be widely used as range meters and as proximity detectors in industries. The hardware part of ultrasonic sensor is interfaced with Arduino. This method of measurement is efficient way to measure small distances precisely. The distance of an obstacle from the sensor is measured through ultrasonic sensor. After knowing the speed of sound the distance can be calculated. The work presented here is the mini-project work of the second semester engineering\u0000students of electronics & communication engineering department of Dayananda Sagar College of Engg., Bangalore, Karnataka","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"73 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":"127474758","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}

{"title":"Diagnosis Of Alzheimer’s Disease Using Machine Learning","authors":"Goulikar Laxmi Narasimha Deva, Ramesh Ponnala","doi":"10.46647/ijetms.2022.v06i06.110","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.110","url":null,"abstract":"This project applies the paramount machine learning techniques for the early detection and effective diagnosis of severe AD. It is vital to diagnose the disease in initial stages for more effective and beneficial treatment.\u0000Machine Learning is becoming an area of great interest because it is showing the remarkable achievement in the present, advance and crucial decision making. Medical diagnosis is one of the crucial areas that have paramount importance where various learning algorithms can be contributed for the improvement in disease diagnosis. Due to the evolution of computation technology, the generation of data is increased exponentially, especially in medical field. To cope up this problem, this project tests various approaches like Logistic Regression, Support Vector Machine, Random\u0000Forest, Decision Tree, Ada boosting , to identify the best parameters for the Alzheimer’s Disease prediction using OASIS_Longitudinal MRI Data.\u0000Experimental result is analyzed in terms of accuracy, recall, and AUC (Area Under Curve). The analysis shows that the Random Forest and AdaBoost have same accuracy but Random Forest performs better than AdaBoost in terms of recall and AUC as well.","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"46 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":"121679700","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}

{"title":"ACCIDENT ALERT SYSTEM USING IOT A REVIEW","authors":"K. Prem Kumar, G.Raju, V.Pranathi, G.Pavithra, S.Bharath","doi":"10.46647/ijetms.2022.v06i06.093","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.093","url":null,"abstract":"As civilizations over the earth are becoming financially enhanced, people now possess their respective vehicles .With that progress accidents are likewise increasing. In earlier days, Accidents are not as much as today. The reason behind this is less population and awareness among the people. But in modern days and from the past decade the accidents have become common and are increasing continually with the rise of population. In addition people also become careless and indecisive. There\u0000are numerous reasons that prompts accidents. To figure out this accident rate, we have framed a project which gestures the drivers to trace standards. As science and automations like IOT have become sophisticated, at this time there is a necessity of providing safety measures to restrict accidents.\u0000The perception of tracking systems is not new and enterprises have made a lot of advancements in maximizing the technology. There are certain manual things to prevent accidents just like paying attention, beware of surroundings, inspect vehicles before and after, take breaks whenever needed but this is impossible to follow all these stuff in modern world. We designed a system that permits us to build a sensor network. The plan and the framework involves two areas where initially designating traffic signs by sorting the images and as well as during night and bad climate conditions it warns by a voice note. And secondly if a person feels drowsy our system signals the person with a blow sound. If any emergency takes place then an alert message and geographical location of the person will be sent to their emergency contact. This system is also\u0000designed to help with providing an immediate medical help. If in case we are comfort and safe we can send a message by using a switch provided in that device.\u0000Our device makes use of integrated Arduino that comprises of GSM primarily based module along with GPS module and Accelerometer Sensor. The objective is to build up a product that sends the area of accident vehicle automatically utilizing IOT. An alarming message which contains time and area is send to rescue offices for alleviation of the person.","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"42 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":"116696610","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}

{"title":"NON HYDRAULIC SOLAR PANEL SLANG","authors":"Sudha M, Narmatha R, Nirmala N, Sakthi S","doi":"10.46647/ijetms.2022.v06i06.101","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.101","url":null,"abstract":"The effectiveness of a sun panel is appreciably decreased while dust (occasionally called soiling) builds up on its surface, lowering the amount of daylight that reaches the sun cells underneath. They need to be wiped clean occasionally, normally with water, so that it will utilise their meant functionality to the utmost. Cleaning will become tough, expensive, and tough in a few locations because of water constraint. The pioneering and powerful sun photovoltaic conversion approach is broadly utilised to transform sun energy. A new tool for electrostatic cleansing has been designed and implemented. The cleansing overall performance of this tool has been examined thinking about the\u0000electrode designs. The electric powered subject fee turned into decided via way of means of analytical and numerical techniques with inside the traditional version. The published circuit forums of the proposed version and the traditional version have been produced. The conventional version with effective and negative waveform is broadly utilized in electrostatic purifier studies. Dust elimination efficiencies and electric losses for exceptional frequency and voltage values have been in comparison for each card. It has been proven that the proposed version can carry out cleansing with excessive\u0000performance in spite of comparable loss variation.","PeriodicalId":202831,"journal":{"name":"international journal of engineering technology and management sciences","volume":"28 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":"131083657","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}

{"title":"Predictive Analysis for the Detection of Human Diseases CVD, CKD, DM Based on Supervised and Ensemble Machine Learning Classification Algorithms","authors":"Narayan Sahu, Satheesh Kumar","doi":"10.46647/ijetms.2022.v06i06.001","DOIUrl":"https://doi.org/10.46647/ijetms.2022.v06i06.001","url":null,"abstract":"Because of the high risk globally in the health care sector, the Chronic kidney disease (CKD), Cardio Vascular Disease (CVD), Diabetes Mellitus (DM) are the major burden because of its increasing pervasiveness. Cardio Vascular Disease (CVD), Chronic Kidney Disease (CKD) and Diabetes Mellitus are from the most active disease and the leading causes of death worldwide in the health care sector. Machine learning is playing an essential role in the medical side. In this paper, ensemble learning methods are used to enhance the performance of predicting heart disease, kidney disease and also diabetes disease. In this paper, we have shown some real time analysis by the help of supervised and ensemble machine learning classification algorithms. We have found the accuracy rate of approx. 90% in the early stage of prediction of disease, which is much better from the previous research papers.","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":"128966462","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}