Pub Date : 2021-09-24DOI: 10.1109/ICSES52305.2021.9633785
P. Ravichandran, C. Saravanakumar, J. Rose, M. Vijayakumar, V. M. Lakshmi
Internet of Things connects all real time devices using the wireless nature for collecting, sharing and processing of data. These data are analyzed using machine learning models based on the structure of data. Reinforcement learning is a type of learning method which performs with past experience of data. Traditional algorithms use data with a specific environment with a learning process for prediction. Federated Learning (FL) is achieved through the integration of the various learning models for achieving accuracy. The proposed learning algorithm uses multilevel FL over the smart homes with two house data for analysis of the user behavior. Various kinds of sensors are used for analyzing the behavior, namely local and global. The data is shared with agents and servers with the use of communication networks. It suffers the bandwidth issues because of heterogeneity in the data, so this is overcome by using FL compression method. Multilevel FL compression method achieves reduced latency with efficient interaction. The proposed technique achieves better accuracy when compared to existing RL method with maximum performance and reliability.
{"title":"Efficient Multilevel Federated Compressed Reinforcement Learning of Smart Homes Using Deep Learning Methods","authors":"P. Ravichandran, C. Saravanakumar, J. Rose, M. Vijayakumar, V. M. Lakshmi","doi":"10.1109/ICSES52305.2021.9633785","DOIUrl":"https://doi.org/10.1109/ICSES52305.2021.9633785","url":null,"abstract":"Internet of Things connects all real time devices using the wireless nature for collecting, sharing and processing of data. These data are analyzed using machine learning models based on the structure of data. Reinforcement learning is a type of learning method which performs with past experience of data. Traditional algorithms use data with a specific environment with a learning process for prediction. Federated Learning (FL) is achieved through the integration of the various learning models for achieving accuracy. The proposed learning algorithm uses multilevel FL over the smart homes with two house data for analysis of the user behavior. Various kinds of sensors are used for analyzing the behavior, namely local and global. The data is shared with agents and servers with the use of communication networks. It suffers the bandwidth issues because of heterogeneity in the data, so this is overcome by using FL compression method. Multilevel FL compression method achieves reduced latency with efficient interaction. The proposed technique achieves better accuracy when compared to existing RL method with maximum performance and reliability.","PeriodicalId":6777,"journal":{"name":"2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"7 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89680868","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 : 2021-09-24DOI: 10.1109/ICSES52305.2021.9633867
C. Altaf, S. Ahmed
Power and line saving in ad hoc mobile networks are important (MANET). Not only the transmission ratio but also network life is affected by these two factors. In this paper, we provided an efficient and easy routings agreement to extend the service life and dispense as fairly as possible the traffic of the networks. In addition, a service capacity concept is implemented to reverse the congestion move around a point. The mentioned routings protocols are thus able to prevent associate congestion and reach a higher packets transmission rate. A routings design is the main factorsand should be carefully addressed to achieve efficient and solid communication between UAVs. This subject has drown attention many scholars and different routings protocol have been put advance for improving data transmission efficiency in FANETs due to its significance and usefulness. In this paper we are therefore conducting a report on the astate of the art routings protocol in the last few year ago. Firstly, a detailed analysis of the FANETs routing has recently been carried out by differentiating them completely according to their routing process. Then we analyze the characteristics and the service quality metrics of each protocol against each other. Finally, we suggest a few unresolved problems and possible FANET routing research directions
{"title":"Analysis of an Efficient Routing Protocol for Mobile AD-HOC Networks","authors":"C. Altaf, S. Ahmed","doi":"10.1109/ICSES52305.2021.9633867","DOIUrl":"https://doi.org/10.1109/ICSES52305.2021.9633867","url":null,"abstract":"Power and line saving in ad hoc mobile networks are important (MANET). Not only the transmission ratio but also network life is affected by these two factors. In this paper, we provided an efficient and easy routings agreement to extend the service life and dispense as fairly as possible the traffic of the networks. In addition, a service capacity concept is implemented to reverse the congestion move around a point. The mentioned routings protocols are thus able to prevent associate congestion and reach a higher packets transmission rate. A routings design is the main factorsand should be carefully addressed to achieve efficient and solid communication between UAVs. This subject has drown attention many scholars and different routings protocol have been put advance for improving data transmission efficiency in FANETs due to its significance and usefulness. In this paper we are therefore conducting a report on the astate of the art routings protocol in the last few year ago. Firstly, a detailed analysis of the FANETs routing has recently been carried out by differentiating them completely according to their routing process. Then we analyze the characteristics and the service quality metrics of each protocol against each other. Finally, we suggest a few unresolved problems and possible FANET routing research directions","PeriodicalId":6777,"journal":{"name":"2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"8 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82316584","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 : 2021-09-24DOI: 10.1109/ICSES52305.2021.9633950
T. Thaj Mary Delsy, K. Haritha, Betsy Martin, G. Karthika
The development of a country always depends on the development of villages. In this regard, the data from Athipattu village has been taken to develop the concept of smart village. Athipattu is a village near Minjur in Thiruvallur district of Tamil Nadu. As part of the smart village concept, we need a system which monitors, control and automate the process involved in Agriculture, Water Management, Power saving and storing of cultivated products in a safe and long lasting environments. The existing projects have smart agriculture or smart power distribution or water management individually. Our project integrates the above features with an additional cold storage room for monitoring and controlling a smart village using PLC and SCADA. Supervisory Control and Data Acquisition (SCADA) is a graphical representation of entire smart village. Programmable Logic controller (PLC) is digital computer which gets data from the field device and passes the control variables to SCADA Software. The moisture level in field is monitored and automates the irrigation systems for the crops, vegetable and farming related activities. The power can be saved by automating lights in public places like streets, parks etc. The availability of water is monitored from the resources like river and the water distribution is automated for the domestic and irrigation purpose. The public cold storage room also can be monitored and controlled where a farmer can keep his cultivated items for further processing. The Micrologix 1400 PLC by Allen Bradley and the Intouch Wonderware SCADA software are used in this project.
一个国家的发展总是依赖于农村的发展。在这方面，我们采用了来自Athipattu村的数据来发展智慧村的概念。Athipattu是泰米尔纳德邦Thiruvallur地区Minjur附近的一个村庄。作为智慧村概念的一部分，我们需要一个系统来监测、控制和自动化涉及农业、水管理、节能和在安全和持久的环境中储存农产品的过程。现有的项目分别有智能农业、智能配电或智能水管理。我们的项目将上述功能与一个额外的冷库集成在一起，用于使用PLC和SCADA监控智能村。SCADA (Supervisory Control and Data Acquisition)是整个智慧村庄的图形化表示。可编程控制器(PLC)是一种从现场设备获取数据并将控制变量传递给SCADA软件的数字计算机。监测田间的水分水平，并使作物、蔬菜和农业相关活动的灌溉系统自动化。通过在街道、公园等公共场所安装自动照明装置，可以节省电力。从河流等资源监测水的可用性，并为家庭和灌溉目的自动分配水。公共冷库也可以被监测和控制，农民可以在那里保存他种植的作物进行进一步加工。本项目采用Allen Bradley公司的Micrologix 1400 PLC和Intouch Wonderware SCADA软件。
{"title":"Smart Village Monitoring and Control Using PLC And SCADA","authors":"T. Thaj Mary Delsy, K. Haritha, Betsy Martin, G. Karthika","doi":"10.1109/ICSES52305.2021.9633950","DOIUrl":"https://doi.org/10.1109/ICSES52305.2021.9633950","url":null,"abstract":"The development of a country always depends on the development of villages. In this regard, the data from Athipattu village has been taken to develop the concept of smart village. Athipattu is a village near Minjur in Thiruvallur district of Tamil Nadu. As part of the smart village concept, we need a system which monitors, control and automate the process involved in Agriculture, Water Management, Power saving and storing of cultivated products in a safe and long lasting environments. The existing projects have smart agriculture or smart power distribution or water management individually. Our project integrates the above features with an additional cold storage room for monitoring and controlling a smart village using PLC and SCADA. Supervisory Control and Data Acquisition (SCADA) is a graphical representation of entire smart village. Programmable Logic controller (PLC) is digital computer which gets data from the field device and passes the control variables to SCADA Software. The moisture level in field is monitored and automates the irrigation systems for the crops, vegetable and farming related activities. The power can be saved by automating lights in public places like streets, parks etc. The availability of water is monitored from the resources like river and the water distribution is automated for the domestic and irrigation purpose. The public cold storage room also can be monitored and controlled where a farmer can keep his cultivated items for further processing. The Micrologix 1400 PLC by Allen Bradley and the Intouch Wonderware SCADA software are used in this project.","PeriodicalId":6777,"journal":{"name":"2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"13 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80909676","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 : 2021-09-24DOI: 10.1109/ICSES52305.2021.9633790
V. Meenakshi, D. Immanuel, M. Kavitha, V. Kaveri, C.R. Edwin Selva Rex
As a ways as vehicles are involved, safety may be very critical to reduce the occurrence of accidents in velocity confined zones. It lessen the lack of belongings and lifestyles. According to the modern-day surveys, within the past few years, an coincidence close to the school zones, hospital zones and sharp turnings have accelerated quite, because of their rush to get the centered area fast. Therefore calculating automobile velocity has been a important trouble to be taken into consideration. This paper goals to offer a realistic, packed in and easy propose to develop an automated automobile speed manipulate gadget, which desires to be quick get achieved in college, university, hospital, sharp turning zones to reduce the various accidents. This computerized speed controlling machine is constructed using the microcontroller- primarily based definitely platform of the Arduino Uno board. Here programming the Arduino inside the sort of way that, the prescribed speed restrict became integrated within the transmitter unit. The transmitter sends the signal through the receiver inside the vehicle using wi-fi communication era and the speed of the automobile modified into mechanically controlled with the aid of the input alerts by way of the usage of the receiver, with the assist of velocity encoder sensor.
{"title":"Automatic Speed Controller of Vehicles Using Arduino Board","authors":"V. Meenakshi, D. Immanuel, M. Kavitha, V. Kaveri, C.R. Edwin Selva Rex","doi":"10.1109/ICSES52305.2021.9633790","DOIUrl":"https://doi.org/10.1109/ICSES52305.2021.9633790","url":null,"abstract":"As a ways as vehicles are involved, safety may be very critical to reduce the occurrence of accidents in velocity confined zones. It lessen the lack of belongings and lifestyles. According to the modern-day surveys, within the past few years, an coincidence close to the school zones, hospital zones and sharp turnings have accelerated quite, because of their rush to get the centered area fast. Therefore calculating automobile velocity has been a important trouble to be taken into consideration. This paper goals to offer a realistic, packed in and easy propose to develop an automated automobile speed manipulate gadget, which desires to be quick get achieved in college, university, hospital, sharp turning zones to reduce the various accidents. This computerized speed controlling machine is constructed using the microcontroller- primarily based definitely platform of the Arduino Uno board. Here programming the Arduino inside the sort of way that, the prescribed speed restrict became integrated within the transmitter unit. The transmitter sends the signal through the receiver inside the vehicle using wi-fi communication era and the speed of the automobile modified into mechanically controlled with the aid of the input alerts by way of the usage of the receiver, with the assist of velocity encoder sensor.","PeriodicalId":6777,"journal":{"name":"2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"27 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73382235","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 : 2021-09-24DOI: 10.1109/ICSES52305.2021.9633883
R. Purushothaman, S. Rajagopalan, C. Saravanakumar
Text mining is the process of extracting the word from the document which is collected from various sources. It is used to transform the text into normalized data for performing machine learning operations. Feature extraction process in the text considers various words in the text then converted into features. Traditional extraction methods extract the features without semantic meaning of the data due to different data formats. Because of the natural language representation, the text mining process uses the document as an input and evaluates the meaning and relationship between the documents. The main objective of the proposed analysis for extracting the features forms the text with various models and parameters. Bag of Words, GloVe, Word2Vec, TF-IDF and Doc2Vec models are analyzed. This analysis considers parameters like cost, number of iteration, learning rate, similarity measure and object relationship for performance measurement. This model uses the Wikipedia data source for analysis and gives raw data with high volume
文本挖掘是从各种来源收集的文档中提取单词的过程。它用于将文本转换为执行机器学习操作的规范化数据。文本中的特征提取过程考虑文本中的各种单词，然后将其转换为特征。传统的提取方法由于数据格式不同，提取的是数据中没有语义的特征。由于使用自然语言表示，文本挖掘过程使用文档作为输入，并评估文档之间的含义和关系。该分析的主要目标是提取具有各种模型和参数的文本的特征。分析了Bag of Words、GloVe、Word2Vec、TF-IDF和Doc2Vec模型。该分析考虑了诸如成本、迭代次数、学习率、相似性度量和对象关系等参数来进行性能度量。该模型使用维基百科数据源进行分析，并给出大量的原始数据
{"title":"Efficient Analysis for Extracting Feature and Evaluation of Text Mining using Natural Language Processing Model","authors":"R. Purushothaman, S. Rajagopalan, C. Saravanakumar","doi":"10.1109/ICSES52305.2021.9633883","DOIUrl":"https://doi.org/10.1109/ICSES52305.2021.9633883","url":null,"abstract":"Text mining is the process of extracting the word from the document which is collected from various sources. It is used to transform the text into normalized data for performing machine learning operations. Feature extraction process in the text considers various words in the text then converted into features. Traditional extraction methods extract the features without semantic meaning of the data due to different data formats. Because of the natural language representation, the text mining process uses the document as an input and evaluates the meaning and relationship between the documents. The main objective of the proposed analysis for extracting the features forms the text with various models and parameters. Bag of Words, GloVe, Word2Vec, TF-IDF and Doc2Vec models are analyzed. This analysis considers parameters like cost, number of iteration, learning rate, similarity measure and object relationship for performance measurement. This model uses the Wikipedia data source for analysis and gives raw data with high volume","PeriodicalId":6777,"journal":{"name":"2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"269 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74941163","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 : 2021-09-24DOI: 10.1109/ICSES52305.2021.9633962
B. Nithya, J. Jeyachidra
Sensor node localization refers to the knowledge of position information and is a procedural technique for estimating sensor node location. In wireless sensor networks, localization refers to the estimation of sensor node location information. Optimization algorithms are used to determine the position of sensor nodes. Traditional algorithms rely on analytical methods, which increase in computational complexity as the number of sensor nodes grows. Due to resource constraints, cost constraints, and sensor node energy constraints, an algorithm with reduced computational complexity is needed, one that does not need external hardware, needs less run time and memory, is scalable and easy to implement without losing performance, and has improved location estimation accuracy with better convergence. The proposed research work uses Genetic algorithm and differential evolution algorithm are combined in the hybrid Genetic Algorithm - Differential Evolution localization algorithm. Differential Evolution has a higher mutational rate, whereas the Genetic Algorithm has a better range and crossover operator. In wireless sensor networks, the Hybrid Genetic Algorithm - Differential Evolution uses the selection with crossover operators of Genetic Algorithms and the mutation operator of Differential Evolution to approximate the positioning information of sensor nodes.
{"title":"Hybrid Approach of Genetic Algorithm and Differential Evolution in WSN Localization","authors":"B. Nithya, J. Jeyachidra","doi":"10.1109/ICSES52305.2021.9633962","DOIUrl":"https://doi.org/10.1109/ICSES52305.2021.9633962","url":null,"abstract":"Sensor node localization refers to the knowledge of position information and is a procedural technique for estimating sensor node location. In wireless sensor networks, localization refers to the estimation of sensor node location information. Optimization algorithms are used to determine the position of sensor nodes. Traditional algorithms rely on analytical methods, which increase in computational complexity as the number of sensor nodes grows. Due to resource constraints, cost constraints, and sensor node energy constraints, an algorithm with reduced computational complexity is needed, one that does not need external hardware, needs less run time and memory, is scalable and easy to implement without losing performance, and has improved location estimation accuracy with better convergence. The proposed research work uses Genetic algorithm and differential evolution algorithm are combined in the hybrid Genetic Algorithm - Differential Evolution localization algorithm. Differential Evolution has a higher mutational rate, whereas the Genetic Algorithm has a better range and crossover operator. In wireless sensor networks, the Hybrid Genetic Algorithm - Differential Evolution uses the selection with crossover operators of Genetic Algorithms and the mutation operator of Differential Evolution to approximate the positioning information of sensor nodes.","PeriodicalId":6777,"journal":{"name":"2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"350 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79765081","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 : 2021-09-24DOI: 10.1109/ICSES52305.2021.9633952
Y. Bhanusree, T. V. V. Reddy, S. K. Rao
Emotions of human plays an important role in personal and work life. Performance at workplace is mostly dependent on the varying emotions and they can be captured through facial expressions, body language and acoustics. Identifying the basic emotions through speech has its own advantages and is progressive these days. Acoustic based emotion recognition can be either linguistic or non-linguistic and the latter is more flexible as it is language independent. Most of the work in this area till date has been done through machine learning algorithms and accuracy is almost compromised. The deep neural networks on the other hand have proven to be achieving more accuracy. The convolution neural networks used for feature extraction has limitations on capturing both temporal and spatial features. Capsule nets is one of the improvised solutions to tackle the situation. The proposed work has used capsule networks with dynamic routing in combination with convlD layer. The proposed model is experimented on RAVDESS, SAVEE, CREMA-D, EMODB, IEMOCAP corpora and is found successful. An improved test accuracy has been achieved on every data corpus.
{"title":"Capsule Networks based Acoustic Emotion Recognition using Mel Cepstral Features","authors":"Y. Bhanusree, T. V. V. Reddy, S. K. Rao","doi":"10.1109/ICSES52305.2021.9633952","DOIUrl":"https://doi.org/10.1109/ICSES52305.2021.9633952","url":null,"abstract":"Emotions of human plays an important role in personal and work life. Performance at workplace is mostly dependent on the varying emotions and they can be captured through facial expressions, body language and acoustics. Identifying the basic emotions through speech has its own advantages and is progressive these days. Acoustic based emotion recognition can be either linguistic or non-linguistic and the latter is more flexible as it is language independent. Most of the work in this area till date has been done through machine learning algorithms and accuracy is almost compromised. The deep neural networks on the other hand have proven to be achieving more accuracy. The convolution neural networks used for feature extraction has limitations on capturing both temporal and spatial features. Capsule nets is one of the improvised solutions to tackle the situation. The proposed work has used capsule networks with dynamic routing in combination with convlD layer. The proposed model is experimented on RAVDESS, SAVEE, CREMA-D, EMODB, IEMOCAP corpora and is found successful. An improved test accuracy has been achieved on every data corpus.","PeriodicalId":6777,"journal":{"name":"2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"31 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90416778","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 : 2021-09-24DOI: 10.1109/ICSES52305.2021.9633792
L. Raja, A. Farithkhan, K. Vijayalakshmi, T. Sripriya, R. Krishnan, Keren Naomi Devnesh
This paper describes the simple design of a dielectric resonator antenna for 2.4 GHz using a regular cubic resonator for biomedical applications. Dielectric resonator antennas (DRAs) are used at microwave and millimeter frequencies and consist of materials having a high dielectric constant that have high gain and directivity. The resonator is placed upon a copper-grounded fire-resistant substrate. The selected dielectric resonator has a resonant frequency fr = 2.4 GHz and dielectric constant εr = 9.8. Computer Simulation Technology (CST) Microwave Studio was used to perform the simulation and analysis. The gain of the proposed antenna is 1.508 dBi and the directivity is 2.121 dBi.
{"title":"Design of Cubic Dielectric Resonator Antenna for Biomedical Application","authors":"L. Raja, A. Farithkhan, K. Vijayalakshmi, T. Sripriya, R. Krishnan, Keren Naomi Devnesh","doi":"10.1109/ICSES52305.2021.9633792","DOIUrl":"https://doi.org/10.1109/ICSES52305.2021.9633792","url":null,"abstract":"This paper describes the simple design of a dielectric resonator antenna for 2.4 GHz using a regular cubic resonator for biomedical applications. Dielectric resonator antennas (DRAs) are used at microwave and millimeter frequencies and consist of materials having a high dielectric constant that have high gain and directivity. The resonator is placed upon a copper-grounded fire-resistant substrate. The selected dielectric resonator has a resonant frequency fr = 2.4 GHz and dielectric constant εr = 9.8. Computer Simulation Technology (CST) Microwave Studio was used to perform the simulation and analysis. The gain of the proposed antenna is 1.508 dBi and the directivity is 2.121 dBi.","PeriodicalId":6777,"journal":{"name":"2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"56 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85212969","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 : 2021-09-24DOI: 10.1109/ICSES52305.2021.9633940
Rhea Sawant, Prabhav, Pranjal Shrivastava, Priti Shahane, R. Harikrishnan
Braille is a vital means of communication; it is a system for blind persons, one of touch reading and writing in which raised dots are impressions which represent the letters of the alphabet. It is a combination of six impressions that each represent a type of alphabet and it also contains equivalent representation combinations for punctuation marks. Braille is typically read by using the sense of touch, by running fingers across, from the left to the right along each of the lines. Braille is an extremely important tool for blind people to educate themselves and it is a critical component that supports not only educational advancement, but sub consequently also increases employment prospects. It is just like sign language, it is universally accepted but mostly, only the visually impaired people learn braille, unlike sign language which at least the family members of the deaf or hard of hearing individuals learn to be able to communicate with them. The blind should be taught braille to be able to become literate, which is a necessity in today's world. Braille is a much harder language than sign as there exists a lot of combinations of the impressions of the six raised dots that are not easy to memorize. Text to braille Conversion system acts as a means of communication between those who do not know braille and the blind who do understand how to read braille. One would no longer require knowing braille himself to be able to communicate with someone who is visually impaired. He could just simply type in normal text and those texts would get translated to Braille characters in real time.
{"title":"Text to Braille Conversion System","authors":"Rhea Sawant, Prabhav, Pranjal Shrivastava, Priti Shahane, R. Harikrishnan","doi":"10.1109/ICSES52305.2021.9633940","DOIUrl":"https://doi.org/10.1109/ICSES52305.2021.9633940","url":null,"abstract":"Braille is a vital means of communication; it is a system for blind persons, one of touch reading and writing in which raised dots are impressions which represent the letters of the alphabet. It is a combination of six impressions that each represent a type of alphabet and it also contains equivalent representation combinations for punctuation marks. Braille is typically read by using the sense of touch, by running fingers across, from the left to the right along each of the lines. Braille is an extremely important tool for blind people to educate themselves and it is a critical component that supports not only educational advancement, but sub consequently also increases employment prospects. It is just like sign language, it is universally accepted but mostly, only the visually impaired people learn braille, unlike sign language which at least the family members of the deaf or hard of hearing individuals learn to be able to communicate with them. The blind should be taught braille to be able to become literate, which is a necessity in today's world. Braille is a much harder language than sign as there exists a lot of combinations of the impressions of the six raised dots that are not easy to memorize. Text to braille Conversion system acts as a means of communication between those who do not know braille and the blind who do understand how to read braille. One would no longer require knowing braille himself to be able to communicate with someone who is visually impaired. He could just simply type in normal text and those texts would get translated to Braille characters in real time.","PeriodicalId":6777,"journal":{"name":"2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"139 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86552899","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 : 2021-09-24DOI: 10.1109/ICSES52305.2021.9633878
Nakul Giri, Sateesh Kumar Awasthi
We study the basic consensus algorithms and calculate the consensus parameter for the 8 nodes 1-nearest neighbour cycle. Further, we analyze network having 3-nodes, which is an irreducible markov chain for fixed delay environment on two different edges of this network. With the help of this analysis, we check the effect over the convergence rate. Later, we study the initial working behaviour of consensus and communication phase of a 50-nodes 1-nearest neighbour cycle. Also, we calculate slot's timing along with number of transmitters in any slot. We find convergence rate bound for the 50-nodes network having 1-nearest neighbour.
{"title":"Edge Delay and Communication Phase in Consensus Network","authors":"Nakul Giri, Sateesh Kumar Awasthi","doi":"10.1109/ICSES52305.2021.9633878","DOIUrl":"https://doi.org/10.1109/ICSES52305.2021.9633878","url":null,"abstract":"We study the basic consensus algorithms and calculate the consensus parameter for the 8 nodes 1-nearest neighbour cycle. Further, we analyze network having 3-nodes, which is an irreducible markov chain for fixed delay environment on two different edges of this network. With the help of this analysis, we check the effect over the convergence rate. Later, we study the initial working behaviour of consensus and communication phase of a 50-nodes 1-nearest neighbour cycle. Also, we calculate slot's timing along with number of transmitters in any slot. We find convergence rate bound for the 50-nodes network having 1-nearest neighbour.","PeriodicalId":6777,"journal":{"name":"2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)","volume":"93 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80276425","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：