Pub Date : 2020-10-09DOI: 10.1109/ICSTCEE49637.2020.9276813
A. Khalyasmaa, S. Eroshenko, A. Bramm, Piepur Chakravarthi Teja, R. Hariprakash
The paper discusses a practical case of creating an autonomous microgrid for remote residential customers power supply. Due to the specifics of the geographic location, the main scenarious, considered within the framework of the study are : distribution network conncetion, creation of a diesel power plant, creation of an autonomous hybrid micro-grid based on wind power plants and energy storage. In the study, a load forecast has been made and a methodology for determining the installed capacity of the main generation sources is presented. According to the criteria of technological efficiency and environmental safety, the option of creating an autonomous microgrid was adopted for implementation.
{"title":"Microgrid development for remote residential customers power supply","authors":"A. Khalyasmaa, S. Eroshenko, A. Bramm, Piepur Chakravarthi Teja, R. Hariprakash","doi":"10.1109/ICSTCEE49637.2020.9276813","DOIUrl":"https://doi.org/10.1109/ICSTCEE49637.2020.9276813","url":null,"abstract":"The paper discusses a practical case of creating an autonomous microgrid for remote residential customers power supply. Due to the specifics of the geographic location, the main scenarious, considered within the framework of the study are : distribution network conncetion, creation of a diesel power plant, creation of an autonomous hybrid micro-grid based on wind power plants and energy storage. In the study, a load forecast has been made and a methodology for determining the installed capacity of the main generation sources is presented. According to the criteria of technological efficiency and environmental safety, the option of creating an autonomous microgrid was adopted for implementation.","PeriodicalId":113845,"journal":{"name":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126484874","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 : 2020-10-09DOI: 10.1109/ICSTCEE49637.2020.9277401
Girish Hegde, Vishwanath R. Hulipalled, J. B. Simha
Recent days interaction between computer and human is gaining more popularity or momentum, especially in the area of speech recognition. There are many speech recognition systems or applications got developed such as, Amazon Alexa, Cortana, Siri etc. To provide the human like responses, Natural Language Processing techniques such as Natural Language Toolkit [6] for Python can be used for analyzing speech, and responses. In our country, INDIA, agriculture is backbone of economy and major contributor for GDP. However, farmers often, do not get sufficient support or required information in the regional languages. Prediction analysis for farmers in agriculture is not only for crop growing but is essential to develop Crop recommendation system based on price forecasting for agricultural commodities in addition to providing useful advisories for the farmers of any state. Currently, to protect the farmers from price crash or control the inflation, the governments (Central and State) predicting the price for agricultural commodities using short-term arrivals and historical data. However, these methods are not giving enough recommendations for the farmers to decide the storage/sales options with evidence-based explanations. The goal of this study is to identify the research already done in this area and find out the pros and cons of different models and future scope for improvement
{"title":"A Study On Agriculture Commodities Price Prediction and Forecasting","authors":"Girish Hegde, Vishwanath R. Hulipalled, J. B. Simha","doi":"10.1109/ICSTCEE49637.2020.9277401","DOIUrl":"https://doi.org/10.1109/ICSTCEE49637.2020.9277401","url":null,"abstract":"Recent days interaction between computer and human is gaining more popularity or momentum, especially in the area of speech recognition. There are many speech recognition systems or applications got developed such as, Amazon Alexa, Cortana, Siri etc. To provide the human like responses, Natural Language Processing techniques such as Natural Language Toolkit [6] for Python can be used for analyzing speech, and responses. In our country, INDIA, agriculture is backbone of economy and major contributor for GDP. However, farmers often, do not get sufficient support or required information in the regional languages. Prediction analysis for farmers in agriculture is not only for crop growing but is essential to develop Crop recommendation system based on price forecasting for agricultural commodities in addition to providing useful advisories for the farmers of any state. Currently, to protect the farmers from price crash or control the inflation, the governments (Central and State) predicting the price for agricultural commodities using short-term arrivals and historical data. However, these methods are not giving enough recommendations for the farmers to decide the storage/sales options with evidence-based explanations. The goal of this study is to identify the research already done in this area and find out the pros and cons of different models and future scope for improvement","PeriodicalId":113845,"journal":{"name":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128975686","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 : 2020-10-09DOI: 10.1109/ICSTCEE49637.2020.9277186
Swasti Singhal, Riya Sharma, Laxmi Ahuja, A. Rana
The concept of web crawler is a new explosion for the industrial experts so that they can get more explicit results in speedy time. With each passing day world web applications is becoming trendy. They can be upgraded frequently with the same speed. But the main challenge is to use it for the web application. When we add new features for particular software or any web application there is a need to ensure the software quality and reliability, for that we must perform the suitable testing. There is a need to maintain the quality, reliability and accuracy for speedy and specific searches. Regression testing is also required to check the new discrepancy for the web application. In this paper we are implementing a web crawler to show the prioritization and selection techniques of regression testing. The approach is for its two types: online and an offline crawler. The main purpose is to identify new changes in the new variation of crawler and it should be in an organized manner. In addition, it also ensures that after modifying the previous version the advanced version will have no effect on the older functionalities of it.
{"title":"Approach in Web Application for Regression Testing Using Crawlers","authors":"Swasti Singhal, Riya Sharma, Laxmi Ahuja, A. Rana","doi":"10.1109/ICSTCEE49637.2020.9277186","DOIUrl":"https://doi.org/10.1109/ICSTCEE49637.2020.9277186","url":null,"abstract":"The concept of web crawler is a new explosion for the industrial experts so that they can get more explicit results in speedy time. With each passing day world web applications is becoming trendy. They can be upgraded frequently with the same speed. But the main challenge is to use it for the web application. When we add new features for particular software or any web application there is a need to ensure the software quality and reliability, for that we must perform the suitable testing. There is a need to maintain the quality, reliability and accuracy for speedy and specific searches. Regression testing is also required to check the new discrepancy for the web application. In this paper we are implementing a web crawler to show the prioritization and selection techniques of regression testing. The approach is for its two types: online and an offline crawler. The main purpose is to identify new changes in the new variation of crawler and it should be in an organized manner. In addition, it also ensures that after modifying the previous version the advanced version will have no effect on the older functionalities of it.","PeriodicalId":113845,"journal":{"name":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122577434","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 : 2020-10-09DOI: 10.1109/ICSTCEE49637.2020.9277121
M. Mahmud, Kh. Khaleduzzaman, Sohag Sarker, Liton Chandra Paul
In wireless communication systems, MIMO (multiple-input and multiple-output) antenna architectures have the capability to enhance channel capacity and reliability. OFDM (Orthogonal frequency division multiplexing) is another proposed technique which is popular for high speed data transmission, robustness to frequency selective channels, low OOB (Out of Band) emission, and low PAPR (Peak to Average Power Ratio). To gain very high data rates for vast number of powerful multimedia and AI capable devices employment of mm-waves frequency bands with the above two technologies is one of the major advancements. But the problems of propagating mm-wave frequency signals are time delay, fading, propagation and scattering losses. So to attain better performance, optimizations of propagation parameters are crucial. This paper shows the effect of Path Loss (PL) models (ABG and CI) to design and analysis of 4×4 MIMO W-OFDM system using several modulation techniques (16-DPSK, 16-PSK, and 16-QAM) for 5G wireless communication. For window filters, Blackman, Hamming, and Bartlett windows have been considered.
在无线通信系统中，MIMO(多输入多输出)天线结构具有提高信道容量和可靠性的能力。OFDM(正交频分复用)是另一种被提出的技术，它在高速数据传输、对频率选择信道的鲁棒性、低带外发射和低峰值与平均功率比方面很受欢迎。为大量功能强大的多媒体和具有人工智能功能的设备获得非常高的数据速率，使用上述两种技术的毫米波频段是主要的进步之一。但是在毫米波频率信号的传播中存在着时间延迟、衰落、传播和散射损耗等问题。因此，为了获得更好的性能，传播参数的优化是至关重要的。本文展示了路径损耗(PL)模型(ABG和CI)对设计和分析4×4 MIMO W-OFDM系统的影响，该系统使用几种调制技术(16-DPSK, 16-PSK和16-QAM)用于5G无线通信。对于窗口过滤器，考虑了Blackman、Hamming和Bartlett窗口。
{"title":"Effect of Path Loss Models on Performance of 5G Compatible MIMO WINDOW-OFDM Systems","authors":"M. Mahmud, Kh. Khaleduzzaman, Sohag Sarker, Liton Chandra Paul","doi":"10.1109/ICSTCEE49637.2020.9277121","DOIUrl":"https://doi.org/10.1109/ICSTCEE49637.2020.9277121","url":null,"abstract":"In wireless communication systems, MIMO (multiple-input and multiple-output) antenna architectures have the capability to enhance channel capacity and reliability. OFDM (Orthogonal frequency division multiplexing) is another proposed technique which is popular for high speed data transmission, robustness to frequency selective channels, low OOB (Out of Band) emission, and low PAPR (Peak to Average Power Ratio). To gain very high data rates for vast number of powerful multimedia and AI capable devices employment of mm-waves frequency bands with the above two technologies is one of the major advancements. But the problems of propagating mm-wave frequency signals are time delay, fading, propagation and scattering losses. So to attain better performance, optimizations of propagation parameters are crucial. This paper shows the effect of Path Loss (PL) models (ABG and CI) to design and analysis of 4×4 MIMO W-OFDM system using several modulation techniques (16-DPSK, 16-PSK, and 16-QAM) for 5G wireless communication. For window filters, Blackman, Hamming, and Bartlett windows have been considered.","PeriodicalId":113845,"journal":{"name":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122614840","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 : 2020-10-09DOI: 10.1109/ICSTCEE49637.2020.9277216
Tabassum Ara, P. M, Manish Bali
With a deluge of data from various sources, sensors being resource constrained with less computing power, small memory and battery life leads them into getting compromised with various attacks and malfunction. Failures or Fault tolerance based on a single source of information has inaccuracies. Faults should be identified and described by multiple feature of data collected from different sources over a period of time. Generally, fault tolerance has been carried out by monitoring the health of each device which in itself consumes a lot of battery power. Also we need to know what should be an apt time interval or frequency to consider predictive analysis. Predicting faults in wireless sensor networks is a challenging proposition that requires deep study of the past data available. With advances in Machine learning and data analytics in particular have changed the way organisations can approach this issue to monitor their health and take preventive measures. In this paper, we propose a soft computing-based sensor node fault prediction based on time-series data. Using ARIMA, we predict failures by decomposing time series data into trend, seasonality and residual components and fit a model. A robust forecast estimation model with confidence bounds: 80% and 95% is developed which can help in implementing an intelligent IoT infrastructure in WSN. There is more ambiguity regarding the longer term forecast as the model is supposed to regress future values based on previously recorded predicted values.
{"title":"Fault Prediction in Wireless Sensor Networks using Soft Computing","authors":"Tabassum Ara, P. M, Manish Bali","doi":"10.1109/ICSTCEE49637.2020.9277216","DOIUrl":"https://doi.org/10.1109/ICSTCEE49637.2020.9277216","url":null,"abstract":"With a deluge of data from various sources, sensors being resource constrained with less computing power, small memory and battery life leads them into getting compromised with various attacks and malfunction. Failures or Fault tolerance based on a single source of information has inaccuracies. Faults should be identified and described by multiple feature of data collected from different sources over a period of time. Generally, fault tolerance has been carried out by monitoring the health of each device which in itself consumes a lot of battery power. Also we need to know what should be an apt time interval or frequency to consider predictive analysis. Predicting faults in wireless sensor networks is a challenging proposition that requires deep study of the past data available. With advances in Machine learning and data analytics in particular have changed the way organisations can approach this issue to monitor their health and take preventive measures. In this paper, we propose a soft computing-based sensor node fault prediction based on time-series data. Using ARIMA, we predict failures by decomposing time series data into trend, seasonality and residual components and fit a model. A robust forecast estimation model with confidence bounds: 80% and 95% is developed which can help in implementing an intelligent IoT infrastructure in WSN. There is more ambiguity regarding the longer term forecast as the model is supposed to regress future values based on previously recorded predicted values.","PeriodicalId":113845,"journal":{"name":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122480188","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 : 2020-10-09DOI: 10.1109/ICSTCEE49637.2020.9277476
Raghav Mittal, Areeba Kazim
A Denial of Service (DoS) is a computer crime where machines and other resources are made unavailable to its legitimate users by flooding the resources with unwanted requests when connected to the Internet. Since most of the functions of the organization are automated and stored in servers, security must be taken care of at the highest level. Distributed Denial of Service (DDoS) is a major threat to the network. Since the network is the basic requirement in cloud computing or other latest technologies and DoS being distributive in nature should be addressed properly. This paper gives the comparison of a healthy network with that of DDoS network in order to define the declination of the performance of a cloud network under this attack. The DDoS network shows how the performance deteriorates in this particular scenario. OPNET MODELER 14.5 is used as a simulation tool.
{"title":"Ananlysis of DDoS Attacks In Cloud","authors":"Raghav Mittal, Areeba Kazim","doi":"10.1109/ICSTCEE49637.2020.9277476","DOIUrl":"https://doi.org/10.1109/ICSTCEE49637.2020.9277476","url":null,"abstract":"A Denial of Service (DoS) is a computer crime where machines and other resources are made unavailable to its legitimate users by flooding the resources with unwanted requests when connected to the Internet. Since most of the functions of the organization are automated and stored in servers, security must be taken care of at the highest level. Distributed Denial of Service (DDoS) is a major threat to the network. Since the network is the basic requirement in cloud computing or other latest technologies and DoS being distributive in nature should be addressed properly. This paper gives the comparison of a healthy network with that of DDoS network in order to define the declination of the performance of a cloud network under this attack. The DDoS network shows how the performance deteriorates in this particular scenario. OPNET MODELER 14.5 is used as a simulation tool.","PeriodicalId":113845,"journal":{"name":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123017593","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 : 2020-10-09DOI: 10.1109/ICSTCEE49637.2020.9277172
Sundeep. Siddula
An MPPT technique containing of two methods: incremental conductance (INC) and Fuzzy Logic (FL) control is presented in this paper. Under variable solar irradiance this algorithm is able to track maximum power point (MPP). Due to the upcoming shortage in fossil fuels, renewable energy becomes the key source in which solar energy stands as the most promising. The generation rate of the solar panel is low and can be improved with the help of MPPT techniques. In order to validate that the introduced system is better in both effectiveness and the usefulness than the conventional methods, simulation analysis has been done and comparative studies of other methods are conducted. The results show that the introduced method can track MPP under different solar irradiance and will possibly reduce fluctuation in MPP area.
{"title":"Analysis of Fuzzy Logic Based MPPT Using Incremental Conductance Technique for PV Cell","authors":"Sundeep. Siddula","doi":"10.1109/ICSTCEE49637.2020.9277172","DOIUrl":"https://doi.org/10.1109/ICSTCEE49637.2020.9277172","url":null,"abstract":"An MPPT technique containing of two methods: incremental conductance (INC) and Fuzzy Logic (FL) control is presented in this paper. Under variable solar irradiance this algorithm is able to track maximum power point (MPP). Due to the upcoming shortage in fossil fuels, renewable energy becomes the key source in which solar energy stands as the most promising. The generation rate of the solar panel is low and can be improved with the help of MPPT techniques. In order to validate that the introduced system is better in both effectiveness and the usefulness than the conventional methods, simulation analysis has been done and comparative studies of other methods are conducted. The results show that the introduced method can track MPP under different solar irradiance and will possibly reduce fluctuation in MPP area.","PeriodicalId":113845,"journal":{"name":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115856046","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 : 2020-10-09DOI: 10.1109/ICSTCEE49637.2020.9276774
Somashekhar Malipatil, Avinash Gour, V. Maheshwari
GDI technique allows minimization of area and power consumption of digital circuits. The reversible gate preserves same parity between output and input vectors is called fault tolerant but the dimension should be 3. In this design, Peres Gate is designed using Gate Diffusion Input using 8 transistors. The proposed new Peres Gate is used to design full adder with power efficient and fault tolerant. In this work power consumption 51.62μW is achieved for supply voltage 1V and the total area is 492μm2. The schematic is designed in DSCH 2 and layout is done in Microwind 2.
{"title":"Fault Tolerant Reversible Full Adder Design Using Gate Diffusion Input","authors":"Somashekhar Malipatil, Avinash Gour, V. Maheshwari","doi":"10.1109/ICSTCEE49637.2020.9276774","DOIUrl":"https://doi.org/10.1109/ICSTCEE49637.2020.9276774","url":null,"abstract":"GDI technique allows minimization of area and power consumption of digital circuits. The reversible gate preserves same parity between output and input vectors is called fault tolerant but the dimension should be 3. In this design, Peres Gate is designed using Gate Diffusion Input using 8 transistors. The proposed new Peres Gate is used to design full adder with power efficient and fault tolerant. In this work power consumption 51.62μW is achieved for supply voltage 1V and the total area is 492μm2. The schematic is designed in DSCH 2 and layout is done in Microwind 2.","PeriodicalId":113845,"journal":{"name":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126877538","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 : 2020-10-09DOI: 10.1109/ICSTCEE49637.2020.9277306
Anchana P Belmon, J. Auxillia
Particle Swarm Optimization) is a population based stochastic enhancement of improvements. This paper presents an unprecedented (UPSO-PID)and does the hypothesis examination of the PSO with multi-target improvement in PSO and its designing applications.
{"title":"An Unprecedented PSO-PID Optimized Glucose Homeostasis","authors":"Anchana P Belmon, J. Auxillia","doi":"10.1109/ICSTCEE49637.2020.9277306","DOIUrl":"https://doi.org/10.1109/ICSTCEE49637.2020.9277306","url":null,"abstract":"Particle Swarm Optimization) is a population based stochastic enhancement of improvements. This paper presents an unprecedented (UPSO-PID)and does the hypothesis examination of the PSO with multi-target improvement in PSO and its designing applications.","PeriodicalId":113845,"journal":{"name":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114278536","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}
India is a developing country in numerous aspects principally in the field of technology. According to CBS 2002, our country has 37.5% covered by hilly and mountainous region. Travelling in hilly areas is quite challenging. The peril due to up-hilling and down-hilling may lead to serious consequences with increased death and accident rates. Though many experienced drivers make their way through these hilly regions, there is an increase in accident rates due to the environmental factors. It is an extremely strenuous task for drivers to travel in hilly areas especially at the hair-pin curves which could also prove to be fatal at the times of alarming natural calamities. In order to get the better of the problem, we can use semi-automation technology by combining IOT and AI, which are the remarkable boons of "modern technology" that can support both manual and autonomous mode of operation.
{"title":"Simulation Modelling of Semi-automation Transport Vehicle","authors":"Abirami Anandasabesan, Soundarya Mahamani, Haritha Sree Soundararajan, S. Natarajan, Maheswari Ellapan, Revanya Devi Myla, Mithileysh Sathiyanarayanan","doi":"10.1109/ICSTCEE49637.2020.9277351","DOIUrl":"https://doi.org/10.1109/ICSTCEE49637.2020.9277351","url":null,"abstract":"India is a developing country in numerous aspects principally in the field of technology. According to CBS 2002, our country has 37.5% covered by hilly and mountainous region. Travelling in hilly areas is quite challenging. The peril due to up-hilling and down-hilling may lead to serious consequences with increased death and accident rates. Though many experienced drivers make their way through these hilly regions, there is an increase in accident rates due to the environmental factors. It is an extremely strenuous task for drivers to travel in hilly areas especially at the hair-pin curves which could also prove to be fatal at the times of alarming natural calamities. In order to get the better of the problem, we can use semi-automation technology by combining IOT and AI, which are the remarkable boons of \"modern technology\" that can support both manual and autonomous mode of operation.","PeriodicalId":113845,"journal":{"name":"2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116617558","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}
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