Pub Date : 2017-02-01DOI: 10.1109/ICCCT2.2017.7972298
N. Mala, S. Thushara, Sankari Subbiah
Portability of visually impaired people is confined by within their surroundings. Moving safely and confidently in a metropolitan area without any human assistance is a tedious work for vision loss people. This paper proposes theoretical model and a system concept to provide an electronic aid for visually impaired people This work rely on developing a gadget that is, a walking stick and a Bluetooth headset (wearable), for blind people that helps them to find their way in this world. The Internet Of Things is a intercommunication between various systems where the communication is being carried by means of network or some of signals. The current position of the vision loss humans can be found by using Global Positioning System (GPS) which is embedded in the stick. The headset and the proposed stick are paired using Bluetooth Stick. Thus IOT help blind people to find their way back home by the communication between the walking stick and the headset, which are Bluetooth, paired and enable the communication between devices.
{"title":"Navigation gadget for visually impaired based on IoT","authors":"N. Mala, S. Thushara, Sankari Subbiah","doi":"10.1109/ICCCT2.2017.7972298","DOIUrl":"https://doi.org/10.1109/ICCCT2.2017.7972298","url":null,"abstract":"Portability of visually impaired people is confined by within their surroundings. Moving safely and confidently in a metropolitan area without any human assistance is a tedious work for vision loss people. This paper proposes theoretical model and a system concept to provide an electronic aid for visually impaired people This work rely on developing a gadget that is, a walking stick and a Bluetooth headset (wearable), for blind people that helps them to find their way in this world. The Internet Of Things is a intercommunication between various systems where the communication is being carried by means of network or some of signals. The current position of the vision loss humans can be found by using Global Positioning System (GPS) which is embedded in the stick. The headset and the proposed stick are paired using Bluetooth Stick. Thus IOT help blind people to find their way back home by the communication between the walking stick and the headset, which are Bluetooth, paired and enable the communication between devices.","PeriodicalId":445567,"journal":{"name":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132615530","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 : 2017-02-01DOI: 10.1109/ICCCT2.2017.7972307
V. Kalaiselvi, A. Sangavi, Dhivya
Wireless communication has become a basic utility in personal and business life such that it becomes a fundamental of our lives and this communication uses the radio spectrum for data transfer. There are issues in using the radio spectrum further, they are, capacity, efficiency, availability and security. The defects of Wi-Fi technology has given birth to the concept of Li-Fi (Light Fidelity) technology. Li-Fi can be defined as a light based Wi-Fi. This technology mainly serves the purpose of transmitting data using retrofitting of LED Bulbs that has high efficiency, durability and reliability.This technology emerged by 1990s in a lot of countries like Japan, German and Korea. The proposed paper aims in using the Wi-Fi technology and enabling communication of vehicles with the traffic light system in order to prioritize the vehicles and change the signals accordingly rather than by a process of pre-defined order or by manual order. Traffic lights already use LED lighting, so that this proposed system may seem easy to implement. Sending data through siren lights in an ambulance and fire extinguishers to a traffic light control system and switching the signal in order to allow faster and non-interrupted transport. Here is already a kind of system in play for GPS navigational systems, but the traffic lights can be used in updating drivers using basic information or streaming video directly from news broadcasts i.e, about the accidents or delays up ahead.
{"title":"Li-Fi technology in traffic light","authors":"V. Kalaiselvi, A. Sangavi, Dhivya","doi":"10.1109/ICCCT2.2017.7972307","DOIUrl":"https://doi.org/10.1109/ICCCT2.2017.7972307","url":null,"abstract":"Wireless communication has become a basic utility in personal and business life such that it becomes a fundamental of our lives and this communication uses the radio spectrum for data transfer. There are issues in using the radio spectrum further, they are, capacity, efficiency, availability and security. The defects of Wi-Fi technology has given birth to the concept of Li-Fi (Light Fidelity) technology. Li-Fi can be defined as a light based Wi-Fi. This technology mainly serves the purpose of transmitting data using retrofitting of LED Bulbs that has high efficiency, durability and reliability.This technology emerged by 1990s in a lot of countries like Japan, German and Korea. The proposed paper aims in using the Wi-Fi technology and enabling communication of vehicles with the traffic light system in order to prioritize the vehicles and change the signals accordingly rather than by a process of pre-defined order or by manual order. Traffic lights already use LED lighting, so that this proposed system may seem easy to implement. Sending data through siren lights in an ambulance and fire extinguishers to a traffic light control system and switching the signal in order to allow faster and non-interrupted transport. Here is already a kind of system in play for GPS navigational systems, but the traffic lights can be used in updating drivers using basic information or streaming video directly from news broadcasts i.e, about the accidents or delays up ahead.","PeriodicalId":445567,"journal":{"name":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133935333","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 : 2017-02-01DOI: 10.1109/ICCCT2.2017.7972262
Diwakar Srinath A, Praveen Ram A.R, S. R, Kalaiselvi V.K.G., Ajitha G
Visually challenged are majorly dependent on the Braille language for comprehensive reading of textual documents and their walking sticks they hold everyday for their obstruction identification. Making them virtually visible in an environment and get them workable in a technical organisation this system innovates the technology which provides audio descriptions of their blind surroundings. The design involves human face, object and textual recognition which make vision for visually challenged. The smart kit contains an eye glass provided with camera, an ear phone, a microphone and the system where the processing is carried out. The camera present at the nose head of eye glass captures the intended image of the user as snapshots and transfer to the system where it gets processed and produces the specified audio descriptions as output. The system's database holds a corresponding text for each image which is then converted to audio stream when sounded. In case of any mismatch or no entry of the image in the datasets then the new image is stored as new dataset with the name specified through microphone. This avoids mismatch of that image in the future search.
{"title":"HOT GLASS - human face, object and textual recognition for visually challenged","authors":"Diwakar Srinath A, Praveen Ram A.R, S. R, Kalaiselvi V.K.G., Ajitha G","doi":"10.1109/ICCCT2.2017.7972262","DOIUrl":"https://doi.org/10.1109/ICCCT2.2017.7972262","url":null,"abstract":"Visually challenged are majorly dependent on the Braille language for comprehensive reading of textual documents and their walking sticks they hold everyday for their obstruction identification. Making them virtually visible in an environment and get them workable in a technical organisation this system innovates the technology which provides audio descriptions of their blind surroundings. The design involves human face, object and textual recognition which make vision for visually challenged. The smart kit contains an eye glass provided with camera, an ear phone, a microphone and the system where the processing is carried out. The camera present at the nose head of eye glass captures the intended image of the user as snapshots and transfer to the system where it gets processed and produces the specified audio descriptions as output. The system's database holds a corresponding text for each image which is then converted to audio stream when sounded. In case of any mismatch or no entry of the image in the datasets then the new image is stored as new dataset with the name specified through microphone. This avoids mismatch of that image in the future search.","PeriodicalId":445567,"journal":{"name":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114528863","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 : 2017-02-01DOI: 10.1109/ICCCT2.2017.7972294
Nikat Parveen, A. M
Big data is a term for huge amount of data sets that are becoming more complex for data processing applications and are inadequate to deal with them. Big data need a set of techniques and technologies which can easily handle the complex data set and can be easily processed. Feature selection techniques have become an apparent need in many applications to identify the required information from a large set of data. Existing systems processes the same data repeatedly each time when a user request is submitted even for a small task. In this work, a feature selection technique using spark streaming is proposed which can get live stream of input data and process it in batches to extract the required feature from the given input stream data. The proposed method will use the feature selection technique to extract the required data from the large dataset based on the user requirements. The algorithm proposed will also help to increase the throughput of the system.
{"title":"Data processing for large database using feature selection","authors":"Nikat Parveen, A. M","doi":"10.1109/ICCCT2.2017.7972294","DOIUrl":"https://doi.org/10.1109/ICCCT2.2017.7972294","url":null,"abstract":"Big data is a term for huge amount of data sets that are becoming more complex for data processing applications and are inadequate to deal with them. Big data need a set of techniques and technologies which can easily handle the complex data set and can be easily processed. Feature selection techniques have become an apparent need in many applications to identify the required information from a large set of data. Existing systems processes the same data repeatedly each time when a user request is submitted even for a small task. In this work, a feature selection technique using spark streaming is proposed which can get live stream of input data and process it in batches to extract the required feature from the given input stream data. The proposed method will use the feature selection technique to extract the required data from the large dataset based on the user requirements. The algorithm proposed will also help to increase the throughput of the system.","PeriodicalId":445567,"journal":{"name":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117268166","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 : 2017-02-01DOI: 10.1109/ICCCT2.2017.7972295
G. K. Jagatheswari, G. Honnavar, M. R
The Fourier transform can be thought of being the decomposition of the image into two dimensional spatial sinusoidal frequency components. Two dimensional Gaussian, Rectangular (Rect) and Circular (Circ) functions were created using two dimensional Fourier series and transform approximations. The Fourier domain or frequency domain represents a point of a particular frequency contained in the spatial domain image. Here the spectrum of two dimensional basic signals (including images) is analyzed from the point of view of diffraction patterns.
{"title":"Analysis of some two dimensional functions using two dimensional Fourier transforms: Image reconstruction and physical significance","authors":"G. K. Jagatheswari, G. Honnavar, M. R","doi":"10.1109/ICCCT2.2017.7972295","DOIUrl":"https://doi.org/10.1109/ICCCT2.2017.7972295","url":null,"abstract":"The Fourier transform can be thought of being the decomposition of the image into two dimensional spatial sinusoidal frequency components. Two dimensional Gaussian, Rectangular (Rect) and Circular (Circ) functions were created using two dimensional Fourier series and transform approximations. The Fourier domain or frequency domain represents a point of a particular frequency contained in the spatial domain image. Here the spectrum of two dimensional basic signals (including images) is analyzed from the point of view of diffraction patterns.","PeriodicalId":445567,"journal":{"name":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123315620","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 : 2017-02-01DOI: 10.1109/ICCCT2.2017.7972297
A. R., A. R., A. Geetha
The current research trend is about intelligent devices. There is a need to interconnect these intelligent embedded devices using the Internet and hence IoT devices have become more essential. Web of Things and Wisdom Web of Things are two technologies in their growing stages. This paper is a study on integration of IoT devices with WoT and W2T. An architecture has been designed to implement the interaction between the intelligent Iot devices via WoT and W2T.
{"title":"Framework for Embedded Intelligence-integrating IoT, WoT and W2T","authors":"A. R., A. R., A. Geetha","doi":"10.1109/ICCCT2.2017.7972297","DOIUrl":"https://doi.org/10.1109/ICCCT2.2017.7972297","url":null,"abstract":"The current research trend is about intelligent devices. There is a need to interconnect these intelligent embedded devices using the Internet and hence IoT devices have become more essential. Web of Things and Wisdom Web of Things are two technologies in their growing stages. This paper is a study on integration of IoT devices with WoT and W2T. An architecture has been designed to implement the interaction between the intelligent Iot devices via WoT and W2T.","PeriodicalId":445567,"journal":{"name":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130095127","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 : 2017-02-01DOI: 10.1109/ICCCT2.2017.7972296
A. D., B. G., M. J., Kalaiselvi V.K.G.
Intelligence applications are being developed that make machines more sophisticated in their way of learning and to make decisions. Accident is a specific, unpredicted external action that happens unexpectedly with no apparent or deliberate cause but with marked effects. With the increasing number of bike riders and the number of accidents happening each year our paper focuses on the methods that can be implemented to ensure safety while driving. Distraction of the driver's attention is the major cause of these accidents. Nowadays wearing helmet has been made mandatory. But still the rules are being violated. Message transmitting sensors are equipped in the speedometer of bike and also in the bike's helmet. The most important feature of the bike is that the bike's engine gets start only when the person wears helmet. This system also checks the approaching vehicle's speed on either side of the road and generate vibrations in the bike's handlebar. This advanced development is bringing about a new era of productivity for the latest ideas on an astounding scale, understanding their efficiency, speed and functionality.
{"title":"Mission on! Innovations in bike systems to provide a safe ride based on IOT","authors":"A. D., B. G., M. J., Kalaiselvi V.K.G.","doi":"10.1109/ICCCT2.2017.7972296","DOIUrl":"https://doi.org/10.1109/ICCCT2.2017.7972296","url":null,"abstract":"Intelligence applications are being developed that make machines more sophisticated in their way of learning and to make decisions. Accident is a specific, unpredicted external action that happens unexpectedly with no apparent or deliberate cause but with marked effects. With the increasing number of bike riders and the number of accidents happening each year our paper focuses on the methods that can be implemented to ensure safety while driving. Distraction of the driver's attention is the major cause of these accidents. Nowadays wearing helmet has been made mandatory. But still the rules are being violated. Message transmitting sensors are equipped in the speedometer of bike and also in the bike's helmet. The most important feature of the bike is that the bike's engine gets start only when the person wears helmet. This system also checks the approaching vehicle's speed on either side of the road and generate vibrations in the bike's handlebar. This advanced development is bringing about a new era of productivity for the latest ideas on an astounding scale, understanding their efficiency, speed and functionality.","PeriodicalId":445567,"journal":{"name":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133325363","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 : 2017-02-01DOI: 10.1109/ICCCT2.2017.7972284
S. Anand, Keetha Manjari.R.K
Remote Sensor Network (WSN) screens dynamic environment that progressions quickly after some time and is utilized by outer components. In WSN, the sensor hubs are to screen the natural parameters, for example, carbon monoxide, stickiness, smoke etc. The aim is to identify firestorm in forest and by predicting the firestorm in forest the sensing ability of the sensor node becomes limited which leads to delay in the alert signal or fail to report and it is difficult to deduce the occurrence of fire. In order to overcome the above problem a Feed forward Neural Network (FNN) was proposed which gives the prediction of firestorm when it occurs without any delay. The neural systems have low power with higher accuracy and it decreases the few bogus recognition of firestorm in timberland. This model recognizes the flame fire with higher accuracy and it controls the alarm delay. FNN is composed with a few hubs N, and made an examination with single and numerous concealed layers to anticipate the higher accuracy. The recreation consequence of the proposed framework is checked and is actualized utilizing Virtex-5 and the RTL schematic was planned utilizing Xilinx ISE 14.6.
远程传感器网络(Remote Sensor Network, WSN)监测一段时间后快速发展的动态环境，并被外部组件利用。在无线传感器网络中，传感器集线器主要用于筛选自然参数，如一氧化碳、粘性、烟雾等。其目的是识别森林火灾，通过预测森林火灾，传感器节点的感知能力受到限制，导致警报信号延迟或无法报告，难以推断火灾的发生。为了克服上述问题，提出了一种前馈神经网络(FNN)，该网络可以在火灾发生时无延迟地进行预测。该神经系统具有低功耗、高准确率的特点，减少了林地火灾的虚假识别。该模型对火焰火灾的识别精度较高，并能控制报警延迟。FNN由几个集线器组成，并进行了单隐层和多隐层的检测，以期望更高的精度。利用Virtex-5检查并实现了所提出框架的重建结果，并利用Xilinx ISE 14.6规划了RTL原理图。
{"title":"FPGA implementation of artificial Neural Network for forest fire detection in wireless Sensor Network","authors":"S. Anand, Keetha Manjari.R.K","doi":"10.1109/ICCCT2.2017.7972284","DOIUrl":"https://doi.org/10.1109/ICCCT2.2017.7972284","url":null,"abstract":"Remote Sensor Network (WSN) screens dynamic environment that progressions quickly after some time and is utilized by outer components. In WSN, the sensor hubs are to screen the natural parameters, for example, carbon monoxide, stickiness, smoke etc. The aim is to identify firestorm in forest and by predicting the firestorm in forest the sensing ability of the sensor node becomes limited which leads to delay in the alert signal or fail to report and it is difficult to deduce the occurrence of fire. In order to overcome the above problem a Feed forward Neural Network (FNN) was proposed which gives the prediction of firestorm when it occurs without any delay. The neural systems have low power with higher accuracy and it decreases the few bogus recognition of firestorm in timberland. This model recognizes the flame fire with higher accuracy and it controls the alarm delay. FNN is composed with a few hubs N, and made an examination with single and numerous concealed layers to anticipate the higher accuracy. The recreation consequence of the proposed framework is checked and is actualized utilizing Virtex-5 and the RTL schematic was planned utilizing Xilinx ISE 14.6.","PeriodicalId":445567,"journal":{"name":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114726678","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 : 2017-02-01DOI: 10.1109/ICCCT2.2017.7972304
A. Varma, P. S, Kayalvizhi Jayavel
IoT is an expanding network of physical devices that are linked with different types of sensors and with the help of connectivity to the internet, they are able to exchange data. Through IoT, internet has now extended its roots to almost every possible thing present around us and is no more limited to our personal computers and mobile phones. Safety, the elementary concern of any project, has not been left untouched by IoT. Gas Leakages in open or closed areas can prove to be dangerous and lethal. The traditional Gas Leakage Detector Systems though have great precision, fail to acknowledge a few factors in the field of alerting the people about the leakage. Therefore we have used the IoT technology to make a Gas Leakage Detector having Smart Alerting techniques involving calling, sending text message and an e-mail to the concerned authority and an ability to predict hazardous situation so that people could be made aware in advance by performing data analytics on sensor readings.
{"title":"Gas Leakage Detection and Smart Alerting and prediction using IoT","authors":"A. Varma, P. S, Kayalvizhi Jayavel","doi":"10.1109/ICCCT2.2017.7972304","DOIUrl":"https://doi.org/10.1109/ICCCT2.2017.7972304","url":null,"abstract":"IoT is an expanding network of physical devices that are linked with different types of sensors and with the help of connectivity to the internet, they are able to exchange data. Through IoT, internet has now extended its roots to almost every possible thing present around us and is no more limited to our personal computers and mobile phones. Safety, the elementary concern of any project, has not been left untouched by IoT. Gas Leakages in open or closed areas can prove to be dangerous and lethal. The traditional Gas Leakage Detector Systems though have great precision, fail to acknowledge a few factors in the field of alerting the people about the leakage. Therefore we have used the IoT technology to make a Gas Leakage Detector having Smart Alerting techniques involving calling, sending text message and an e-mail to the concerned authority and an ability to predict hazardous situation so that people could be made aware in advance by performing data analytics on sensor readings.","PeriodicalId":445567,"journal":{"name":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125344145","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 : 2017-02-01DOI: 10.1109/ICCCT2.2017.7972236
Swagata B. Sarkar
Microstrip patch antennas are heavily used in the field of communication for their compact size, low cost, flexibility and efficiency. Different shapes and sizes of patch antennas are available in the market. In this paper comparison between triangular patch antenna of 5.88 GHz and annular ring triangular patch antenna is done. It is seen that the Return Loss is increased by 57.4% whereas Gain is improved by 37.09% after introducing the annular ring in the Triangular Patch Antenna. Simulated and implemented result is compared and got 6.94% deviation in frequency for the implemented antenna.
{"title":"Design and analysis of annular ring Triangular microstrip Patch Antenna","authors":"Swagata B. Sarkar","doi":"10.1109/ICCCT2.2017.7972236","DOIUrl":"https://doi.org/10.1109/ICCCT2.2017.7972236","url":null,"abstract":"Microstrip patch antennas are heavily used in the field of communication for their compact size, low cost, flexibility and efficiency. Different shapes and sizes of patch antennas are available in the market. In this paper comparison between triangular patch antenna of 5.88 GHz and annular ring triangular patch antenna is done. It is seen that the Return Loss is increased by 57.4% whereas Gain is improved by 37.09% after introducing the annular ring in the Triangular Patch Antenna. Simulated and implemented result is compared and got 6.94% deviation in frequency for the implemented antenna.","PeriodicalId":445567,"journal":{"name":"2017 2nd International Conference on Computing and Communications Technologies (ICCCT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125426623","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：