2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)最新文献_第2页

The optimal on-site generation allocation in a radial distribution system using GA and PSO 基于遗传算法和粒子群算法的径向配电系统现场发电优化分配

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708570

K. Rajesh, J. Rao

引用次数: 0

Smart Approaches to Measure Soil Fertility for Sustainable Agriculture 测量可持续农业土壤肥力的智能方法

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708578

R. S. Upendra, M. R. Ahmed, A. Omkar, Jhanvi Goyal, V. Chaitra, H. Muskan, Pragati Kamath, K. Thirumala Akash

{"title":"Smart Approaches to Measure Soil Fertility for Sustainable Agriculture","authors":"R. S. Upendra, M. R. Ahmed, A. Omkar, Jhanvi Goyal, V. Chaitra, H. Muskan, Pragati Kamath, K. Thirumala Akash","doi":"10.1109/ICSTCEE54422.2021.9708578","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708578","url":null,"abstract":"India is basically agriculture driven country and our GDP is principally directed by the yield of Rabi and Kharif crops. Most of the farmers of our country practices traditional way of agriculture. Since the amount of soil nutrients regulates the growth and quality of the crop, a systematic and quantitative analysis of soil nutrients is essential for good and adequate agricultural produce. Many small and large-scale farmers of the country India were not aware about the soil fertility nutrients and hence are unable to make use of their farming land efficiently for enhanced crop yield. The motive of the present work is to emphasize the significance of soil vitamins and the sensor based smart way of nutrient evaluation practices for measuring each essential nutrients i. e., Nitrogen, Phosphorus, and Potassium of Agri land. It was understood from the literature that, insufficient levels of essential elements (N, P, K) in farming lands can cause major issues connected with crop growth, productivity, and crop failure. To enlighten farmers and the readers with the smart farming practices, present study submitted a cumulative review on soil nutrient analysis methods with special emphasis on sensors based smart methods to measure the quantities of soil essential elements such as N, P, K. It has been concluded that potentiometric based electrochemical sensors are beneficial for soil testing and were found to be advantageous to farmers in keeping a constant check on their soil health, which intern enable the farmers to grow healthier crops and to maintain the surrounding soil biodiversity.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124683282","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: 1

A Review of Blockchain Based Approach for Secured Communication in Internet of Vehicle (IoV) Scenario 基于区块链的车联网(IoV)场景安全通信方法综述

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708555

F. Azam, Arun Biradar, Neeraj Priyadarshi, S.Vijaya kumari, Shrikant S. Tangade

引用次数: 0

Logistic Regression versus XGBoost: Machine Learning for Counterfeit News Detection 逻辑回归与XGBoost:假新闻检测的机器学习

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708587

V. C. S. Rao, Pulyala Radhika, Niranjan Polala, Siripuri Kiran

{"title":"Logistic Regression versus XGBoost: Machine Learning for Counterfeit News Detection","authors":"V. C. S. Rao, Pulyala Radhika, Niranjan Polala, Siripuri Kiran","doi":"10.1109/ICSTCEE54422.2021.9708587","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708587","url":null,"abstract":"In this age of globalization, the unstoppable spreading of fake news via the internet is unstoppable. The spread of false news cannot be supported due to the negative consequences. Society is extremely concerning. In addition, itleads to more serious problems and possible threats, like confusion, misunderstandings, defamation and falsehoods that induce users to share inflammatory content. With the convenience and tremendous increase in information gathering on social networks, it is becoming difficult to differentiate between what is false and what is real. Information can be easily disseminated through sharing, which has contributed to the exponential growth of their forgeries. Machine learning played an important role, in classifying information, although there are some limitations. This article explores various machine learning techniques used to detect fake and fabricated messages. The limitations are discussed using deep learning implementation. In this project, the methodology used is model development and Logistic Regression classifier is considered to detect false news. Based on previous research, this classifier performed well in classification tasks. In this approach, TF-IDF feature is used for the construction of this fake news model to get higher accuracy. The goal of this project is to detect false news using NLP and Machine Learning based on the news content of the article. Following the development of the appropriate Machine Learning model to detect fake/true news, it is deployed into a web interface using Python Flask.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115104910","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: 1

High Performance VLSI Architecture of Multiplexer and Demultiplexer Using various Adiabatic Logic 采用各种绝热逻辑的多路复用器和解路复用器的高性能VLSI架构

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708556

S. Karunakaran, P. Snehith

{"title":"High Performance VLSI Architecture of Multiplexer and Demultiplexer Using various Adiabatic Logic","authors":"S. Karunakaran, P. Snehith","doi":"10.1109/ICSTCEE54422.2021.9708556","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708556","url":null,"abstract":"Using adiabatic logics, we proposed the design and evaluation of a 1:16 Multiplexer and a 16:1 De-Multiplexer in this paper. We used traditional static CMOS logic to implement a 1:16 Multiplexer and a 16:1 De-multiplexer to compare the strength of static cmos logic and adiabatic logic. In many vlsi designs, power consumption is the most important factor. We used adiabatic logics to implement a 1:16 Multiplexer and 16:1 Demultiplexer in static CMOS logic to minimize power consumption. The adiabatic logics are 2N2P and 2N2N2P where in both the adiabatic logics use cross-coupled transistor for adiabatic operation. Adiabatic logic uses reverse logic and energy recovery technique that results in less power dissipation when compared to static CMOS logic. In static CMOS logic, we will give constant power source as Vdd. So, the total energy gets dissipated across the resistor, the energy stored by the capacitor will be very less because of this energy recovery is not happened as in case of static CMOS logic. In adiabatic logic we will give slowly varying ramp signal as vdd. So, the total energy is not dissipated across resistor and the capacitor starts charging. In the discharging phase the energy stored by the capacitor is sent back to the source because of this energy consumption is reduced. This is the energy recovery technique which happens in adiabatic logics.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121338791","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 Discrete Fourier Transform Based Fault Identification Scheme for IEEE 9-bus System 基于离散傅立叶变换的IEEE 9总线系统故障识别方法

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708579

B. Chatterjee, Subhrajyoti Sarkar

引用次数: 0

ConvNet Based Detection and Segmentation of Brain Tumor from MR Images 基于卷积神经网络的脑肿瘤MR图像检测与分割

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708592

Valaparla Rohini, Kuchipudi Prasanth Kumar

引用次数: 1

Machine Learning based Cardiac Magnetic Resonance Imaging (CMRI) for Cardiac Disease Detection 基于机器学习的心脏磁共振成像(CMRI)用于心脏病检测

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708573

M. Ramesh, S. Mandapati, B. Prasad, B. Kumar

{"title":"Machine Learning based Cardiac Magnetic Resonance Imaging (CMRI) for Cardiac Disease Detection","authors":"M. Ramesh, S. Mandapati, B. Prasad, B. Kumar","doi":"10.1109/ICSTCEE54422.2021.9708573","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708573","url":null,"abstract":"The electrocardiogram (ECG) is a graphical representation of the heart’s electrical activity generated by contraction and relaxation of the heart muscle. An ECG is a vital tool for diagnosing heart conditions. The ECG flag is required for patient care. Early detection of heart disease allows specialists to differentiate between heart illnesses. A growing number of heart diseases necessitated the development of automatic abnormality detection techniques to relieve physicians. Cardiac magnetic resonance (CMR) images are becoming increasingly important in the diagnosis and monitoring of cardiovascular diseases in the nanomaterial of the kernels. As a result of the large amount and diversity of the data available, there are still many unanswered questions when it comes to the description and characterization of nanomaterial. Biomaterials characterization requires minimal information, which can be provided by AI and machine learning algorithms. These representations are also intended to provide an estimate of the CMR image quality in order to facilitate better interpretation and analysis of the CMR images. Also investigated, how quantitative analysis can be used to benefit from the use of these learned image representations during the process of image synthesis.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129343341","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

Head Motion Controlled Wheelchair for Physically Disabled People 残疾人士头部运动控制轮椅

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708577

Farah Binte Haque, Tawhid Hossain Shuvo, R. Khan

{"title":"Head Motion Controlled Wheelchair for Physically Disabled People","authors":"Farah Binte Haque, Tawhid Hossain Shuvo, R. Khan","doi":"10.1109/ICSTCEE54422.2021.9708577","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708577","url":null,"abstract":"Physically disabled people face difficulties in daily life because of their body impairment from their birth or due to an accident or illness. The project’s goal is to design a wheelchair that could function for a disable-person who cannot move other parts of the body correctly, keeping their words in mind with the help of head movements. Medical equipment manufactured to assist disabled peoples are very complicated, limited, and costly. A head motion controlled wheelchair is an intelligent wheelchair with facilities for navigating, recognizing obstacles, and moving automatically by managing detectors and motions. The prototype of the wheelchair performs head motion through a microcontroller. Furthermore, data processing is performed with the help of an accelerometer. The controller filters the indication and allows the action of the wheelchair for its navigation. The ultrasound detector helps to resist impediments. Usually, it is expensive, but we have designed it at an inadequate cost so that ordinary people from underdeveloped or developing countries can use it. The system memorizes the head gesture for further referencing it as the stable gesture or “neutral position” after identifying the start signal. The dc motors will drive the wheelchair during the gesture of control mode. The motors will not work, and consequently, the wheelchair will not run when the head is neutral.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126997331","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: 9

14nm FinFET based 0.8V Supply 25Gbps Subsampler and Phase Detector Circuits for All Digital CDR 基于14nm FinFET的全数字CDR 0.8V电源25Gbps下采样器和鉴相电路

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708558

Sai Bhargav Sriramoju, Subhakumar Reddy Ankireddypalli

引用次数: 0