Pub Date : 2018-12-01DOI: 10.1109/ICACAT.2018.8933763
S. K. Dargar, V. Srivastava
FinFETs have displayed superior electrical behavior as the promising substitute to the planar devices with improved electrostatic control, though FinFETs have been encountered with key obstacles of device scaling for better performance. In this research work, a FinFET structure has been simulated at 10-nm technology node. The electrical performance of the device has been investigated at various gatelap lengths and with utilizing high-k gate insulating material in the device structure for understanding their influence on the device performance. Low subthreshold$sim 76.33$ mV/decade is obtained at gate-lap distance 0.5 nm. There have been obtained improvements in the ON to OFF current Ratio (ION/IOFF), Subthreshold swing (SS), and Drain Induced Barrier Lowering (DIBL) when the gate-lap length is varied. The results showed significant role of gate-lap length variation in the device parametrs. These research results are useful in guiding for scaling and design improvements of multi-gate device structures.
{"title":"Effect of Gate-lap and Oxide Material at 10-nm FinFET Device Performance","authors":"S. K. Dargar, V. Srivastava","doi":"10.1109/ICACAT.2018.8933763","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933763","url":null,"abstract":"FinFETs have displayed superior electrical behavior as the promising substitute to the planar devices with improved electrostatic control, though FinFETs have been encountered with key obstacles of device scaling for better performance. In this research work, a FinFET structure has been simulated at 10-nm technology node. The electrical performance of the device has been investigated at various gatelap lengths and with utilizing high-k gate insulating material in the device structure for understanding their influence on the device performance. Low subthreshold$sim 76.33$ mV/decade is obtained at gate-lap distance 0.5 nm. There have been obtained improvements in the ON to OFF current Ratio (ION/IOFF), Subthreshold swing (SS), and Drain Induced Barrier Lowering (DIBL) when the gate-lap length is varied. The results showed significant role of gate-lap length variation in the device parametrs. These research results are useful in guiding for scaling and design improvements of multi-gate device structures.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"84 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84307387","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 : 2018-12-01DOI: 10.1109/ICACAT.2018.8933627
Shreyasi Samanta, Sneha Utkarsha, B. Gour, Vikas Tiwari
This paper focuses at recognition of handwritten characters with the help of neural networks. Neural Network is designed and trained to classify and recognize handwritten characters. Various stages are involved in character recognition. Steps involves Image preprocessing, segmentation and feature extraction. Image acquisition is the first stage followed by noise filtering, smoothing and image normalization of scanned image. Segmentation divides the image into sub images and feature extraction elicit features from input image.
{"title":"Fast Character Recognition Using Kohonen Neural Network","authors":"Shreyasi Samanta, Sneha Utkarsha, B. Gour, Vikas Tiwari","doi":"10.1109/ICACAT.2018.8933627","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933627","url":null,"abstract":"This paper focuses at recognition of handwritten characters with the help of neural networks. Neural Network is designed and trained to classify and recognize handwritten characters. Various stages are involved in character recognition. Steps involves Image preprocessing, segmentation and feature extraction. Image acquisition is the first stage followed by noise filtering, smoothing and image normalization of scanned image. Segmentation divides the image into sub images and feature extraction elicit features from input image.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"38 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91354909","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}
Handwritten Signature Recognition is an important behavioral biometric which is used for numerous identification and authentication applications. There are two fundamental methods of signature recognition, on-line or off-line. On-line recognition is a dynamic form, which uses parameters like writing pace, change in stylus direction and number of pen ups and pen downs during the writing of the signature. Off-line signature recognition is a static form where a signature is handled as an image and the author of the signature is predicted based on the features of the signature. The current method of Off-line Signature Recognition predominantly employs template matching, where a test image is compared with multiple specimen images to speculate the author of the signature. This takes up a lot of memory and has a higher time complexity. This paper proposes a method of off-line signature recognition using Convolution Neural Network. The purpose of this paper is to obtain high accuracy multi-class classification with a few training signature samples. Images are preprocessed to isolate the signature pixels from the background/noise pixels using a series of Image processing techniques. Initially, the system is trained with 27 genuine signatures of 10 different authors each. A Convolution Neural Network is used to predict a test signature belongs to which of the 10 given authors. Different public datasets are used to demonstrate effectiveness of the proposed solution.
{"title":"Handwritten Signature Recognition: A Convolutional Neural Network Approach","authors":"Krishnaditya Kancharla, Varun Kamble, Mohit Kapoor","doi":"10.1109/ICACAT.2018.8933575","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933575","url":null,"abstract":"Handwritten Signature Recognition is an important behavioral biometric which is used for numerous identification and authentication applications. There are two fundamental methods of signature recognition, on-line or off-line. On-line recognition is a dynamic form, which uses parameters like writing pace, change in stylus direction and number of pen ups and pen downs during the writing of the signature. Off-line signature recognition is a static form where a signature is handled as an image and the author of the signature is predicted based on the features of the signature. The current method of Off-line Signature Recognition predominantly employs template matching, where a test image is compared with multiple specimen images to speculate the author of the signature. This takes up a lot of memory and has a higher time complexity. This paper proposes a method of off-line signature recognition using Convolution Neural Network. The purpose of this paper is to obtain high accuracy multi-class classification with a few training signature samples. Images are preprocessed to isolate the signature pixels from the background/noise pixels using a series of Image processing techniques. Initially, the system is trained with 27 genuine signatures of 10 different authors each. A Convolution Neural Network is used to predict a test signature belongs to which of the 10 given authors. Different public datasets are used to demonstrate effectiveness of the proposed solution.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"3 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87381702","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 : 2018-12-01DOI: 10.1109/ICACAT.2018.8933641
Shubham Kumar Raman, Shrijeet Das, Ayush Sinha
An Accident Protection System(APS) is a technology used to help a motorcycle rider in accidental situations. The critical time gap between the accident and informing to ambulance is vanished with the help of APS. Vanishing is done possible with the help of an application build in smartphone. When accident will happen the app will automatically send message to the contact saved in the app and ambulance services. This paper presentsswitch-over text messaging and describes variousadvantages of Accident Protection System and also compares the technologies developed in the field of accident protection. The device mainly works on the principle of global positioning system, Bluetooth, multiple functioning arduino uno and switch-over methodology. Meanwhile, the device can be easily manufactured andmade compatible with the smartphone app.
{"title":"Design of Accident Protection System with switch over technique using Arduino Uno","authors":"Shubham Kumar Raman, Shrijeet Das, Ayush Sinha","doi":"10.1109/ICACAT.2018.8933641","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933641","url":null,"abstract":"An Accident Protection System(APS) is a technology used to help a motorcycle rider in accidental situations. The critical time gap between the accident and informing to ambulance is vanished with the help of APS. Vanishing is done possible with the help of an application build in smartphone. When accident will happen the app will automatically send message to the contact saved in the app and ambulance services. This paper presentsswitch-over text messaging and describes variousadvantages of Accident Protection System and also compares the technologies developed in the field of accident protection. The device mainly works on the principle of global positioning system, Bluetooth, multiple functioning arduino uno and switch-over methodology. Meanwhile, the device can be easily manufactured andmade compatible with the smartphone app.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"4 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89787434","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 : 2018-12-01DOI: 10.1109/ICACAT.2018.8933691
S. K. Dargar, V. Srivastava
Amorphous Hydrogenated Silicon ($alpha$-Si:H) has been a prevalent material in Thin Film Transistors (TFTs) since the inception of the technology. But due to their limited mobility they have been overhauled by alternative Amorphous Oxide Semiconductors (AOS). InGaZnO is one among them, which has variety of TFT applications. In this paper, simulation of two amorphous semiconductor TFTs have been carried out for analyzing their transport behavior and to compare the transport characteristics of the oxide TFTs. Simulation results reported that mobility have a high dependency on Urbach energy. Obtained maximum mobility 16 cm2/Vs from $alpha$-IGZO TFT is 73% higher than $alpha$-Si:H TFT. The results demonstrate the superiority of $alpha$-IGZO TFT mobility. The reported outcomes can advance the future oxide TFT Research and Development.
{"title":"Performance Comparison of Amorphous-IGZO and Hydrogenated Silicon Based Thin Film Transistor","authors":"S. K. Dargar, V. Srivastava","doi":"10.1109/ICACAT.2018.8933691","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933691","url":null,"abstract":"Amorphous Hydrogenated Silicon ($alpha$-Si:H) has been a prevalent material in Thin Film Transistors (TFTs) since the inception of the technology. But due to their limited mobility they have been overhauled by alternative Amorphous Oxide Semiconductors (AOS). InGaZnO is one among them, which has variety of TFT applications. In this paper, simulation of two amorphous semiconductor TFTs have been carried out for analyzing their transport behavior and to compare the transport characteristics of the oxide TFTs. Simulation results reported that mobility have a high dependency on Urbach energy. Obtained maximum mobility 16 cm2/Vs from $alpha$-IGZO TFT is 73% higher than $alpha$-Si:H TFT. The results demonstrate the superiority of $alpha$-IGZO TFT mobility. The reported outcomes can advance the future oxide TFT Research and Development.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"82 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85409329","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 : 2018-12-01DOI: 10.1109/ICACAT.2018.8933765
Thuthukani N. Msimango, V. Srivastava
In this research work, a Double-Pole Four-Throw (DP4T) switch is designed with the help of n-MOSFET, using four different control voltages, which provides more controllability for the transceivers systems. This switch reduces the size, power, and hardware for a multiple antenna circuitry. This circuit confines all the advantages of Multiple-Inputs Multiple-Output (MIMO) system. Since DP4T switch with MOSFET operate within the widely used frequency band 2.4 GHz to 10 GHz applications. Therefore, it makes the RF switch accomplished of selecting data streams to/from the two antennas for transmitting/receiving processes simultaneously using these four control voltages.
{"title":"Concept of Double-Pole Four-Throw Switch with n-MOSFETs","authors":"Thuthukani N. Msimango, V. Srivastava","doi":"10.1109/ICACAT.2018.8933765","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933765","url":null,"abstract":"In this research work, a Double-Pole Four-Throw (DP4T) switch is designed with the help of n-MOSFET, using four different control voltages, which provides more controllability for the transceivers systems. This switch reduces the size, power, and hardware for a multiple antenna circuitry. This circuit confines all the advantages of Multiple-Inputs Multiple-Output (MIMO) system. Since DP4T switch with MOSFET operate within the widely used frequency band 2.4 GHz to 10 GHz applications. Therefore, it makes the RF switch accomplished of selecting data streams to/from the two antennas for transmitting/receiving processes simultaneously using these four control voltages.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"71 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81655924","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 : 2018-12-01DOI: 10.1109/ICACAT.2018.8933540
Vishakha J. Kapadiya, Laxmi S. Desai, Yogesh K. Meghrajani
Visual secret sharing (VSS) scheme generates shares by encoding secret image into meaningless images. Human visual system is utilized to reveal secret image by share superimposition. XOR-based VSS scheme excels the visual performance of image and resolves the pixel alignment issue. Recently, the concept of meaningful shares is developed to share secret image to reduce the suspicion. However, a trade-off amongst share image quality and recovered secret image exist. This study presents VSS technique for meaningful shares using Boolean operation. Meaningful shares are generated by embedding different number of bits from secret and cover images. Likewise, lossless secret image is reconstructed using these meaningful shares while decoding. The combination of bits provide different visual quality of shares. Hence, in this paper, distinct bit combination is studied and optimum combination is reported.
{"title":"Visual Secret Sharing Technique for Meaningful Shares using Boolean Operation","authors":"Vishakha J. Kapadiya, Laxmi S. Desai, Yogesh K. Meghrajani","doi":"10.1109/ICACAT.2018.8933540","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933540","url":null,"abstract":"Visual secret sharing (VSS) scheme generates shares by encoding secret image into meaningless images. Human visual system is utilized to reveal secret image by share superimposition. XOR-based VSS scheme excels the visual performance of image and resolves the pixel alignment issue. Recently, the concept of meaningful shares is developed to share secret image to reduce the suspicion. However, a trade-off amongst share image quality and recovered secret image exist. This study presents VSS technique for meaningful shares using Boolean operation. Meaningful shares are generated by embedding different number of bits from secret and cover images. Likewise, lossless secret image is reconstructed using these meaningful shares while decoding. The combination of bits provide different visual quality of shares. Hence, in this paper, distinct bit combination is studied and optimum combination is reported.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"54 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84746499","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 : 2018-12-01DOI: 10.1109/ICACAT.2018.8933792
J. Maurya, Aanchal Thakur, D. Rathore
Digital images are characterized by multiple parameters. Medical science is one of the most interesting fields for the image compression actually related to the health care sector unit. We proposed a comparative model for the Bio-medical image compression which is better in the terms of result by measuring performance evaluation parameters to increase the value of Peak Signal Noise Ratio, Compression ratio etc. The all experimental process done with these images and finally we compare the all result evaluation performance parameter and chosen the best performance parameter value for the designed proposed techniques.
{"title":"Analyze the Performance of Bio-Medical Image Compression Technique using Particle Swarm Optimization","authors":"J. Maurya, Aanchal Thakur, D. Rathore","doi":"10.1109/ICACAT.2018.8933792","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933792","url":null,"abstract":"Digital images are characterized by multiple parameters. Medical science is one of the most interesting fields for the image compression actually related to the health care sector unit. We proposed a comparative model for the Bio-medical image compression which is better in the terms of result by measuring performance evaluation parameters to increase the value of Peak Signal Noise Ratio, Compression ratio etc. The all experimental process done with these images and finally we compare the all result evaluation performance parameter and chosen the best performance parameter value for the designed proposed techniques.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"1 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89130568","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 : 2018-12-01DOI: 10.1109/ICACAT.2018.8933745
Vivek Upadhyaya, M. Salim
Compressive Sensing (CS) is a new approach for compression and reconstruction of compressed signals using very minute observations. These minute observations are also called the number of measurement. The basic benefits of CS are that the number of measurements which are required for proper reconstruction of the compressed signal is very less than the conventional method. If we go through the literature then, we get that for proper reconstruction of signal a theory is given by Shannon. This theory states that the sampling frequency must be higher than twice the highest frequency component in that signal. So the limitation of the conventional method is that it requires so much storage to store and a large bandwidth to transmit the data. So researchers came with a new idea which is termed as Compressive Sensing. Key effecting parameters which are very crucial for the compressive sensing is the Basis and Sensing matrix. The basic fact behind this approach is that the signal which is used for the compression and reconstruction must be Sparse. In the analysis which is done by us in this paper is that the change in these two matrices directly changes the value of SNR which will be obtained after compression and reconstruction using the compressive sensing. The work which is carried out based on three kinds of music signals with different cases of Basis and Sensing matrices.
{"title":"Basis & Sensing Matrix as key effecting Parameters for Compressive Sensing","authors":"Vivek Upadhyaya, M. Salim","doi":"10.1109/ICACAT.2018.8933745","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933745","url":null,"abstract":"Compressive Sensing (CS) is a new approach for compression and reconstruction of compressed signals using very minute observations. These minute observations are also called the number of measurement. The basic benefits of CS are that the number of measurements which are required for proper reconstruction of the compressed signal is very less than the conventional method. If we go through the literature then, we get that for proper reconstruction of signal a theory is given by Shannon. This theory states that the sampling frequency must be higher than twice the highest frequency component in that signal. So the limitation of the conventional method is that it requires so much storage to store and a large bandwidth to transmit the data. So researchers came with a new idea which is termed as Compressive Sensing. Key effecting parameters which are very crucial for the compressive sensing is the Basis and Sensing matrix. The basic fact behind this approach is that the signal which is used for the compression and reconstruction must be Sparse. In the analysis which is done by us in this paper is that the change in these two matrices directly changes the value of SNR which will be obtained after compression and reconstruction using the compressive sensing. The work which is carried out based on three kinds of music signals with different cases of Basis and Sensing matrices.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"39 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74146905","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 : 2018-12-01DOI: 10.1109/ICACAT.2018.8933607
Prafful Silakari, Prerna Silakari, Litesh Bopche, Aparna R. Gupta
In our country every years, vermin causes a big economic harm. Hidden and normal herd of vermin attacks plants and field gradually but it causes huge harm in agriculture area and snakes like dangerous animal harms the farmers and local community too. However, these vermin and animal can’t be recognized in their curable stage and farmer could usage the pesticides and insecticides without knowing it. Then this could reduce the efficient state. So the paper presents here, we use the design of an Automated Ultrasonic-insects and animal repeller that constitute of an ultrasonic sensor, an motion-sensor, a GSM module and Arduino Uno board.This detect the sound of vermin by noticing ultrasonic signals propagated by provisioning event of vermin in crops. Then the presence of vermin proved by the motion sensor. Once presence of vermin confirmed by both the sensors Arduino Uno board start ultrasonic repeller by which the animal or insect goes away from that area and a memorandum will be sent by using GSM module and then farmer get ready for protecting it and they can use pesticides or insecticides according to their crops.
{"title":"Smart Ultrasonic Insects & Pets Repeller for Farms & Inventories Purpose","authors":"Prafful Silakari, Prerna Silakari, Litesh Bopche, Aparna R. Gupta","doi":"10.1109/ICACAT.2018.8933607","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933607","url":null,"abstract":"In our country every years, vermin causes a big economic harm. Hidden and normal herd of vermin attacks plants and field gradually but it causes huge harm in agriculture area and snakes like dangerous animal harms the farmers and local community too. However, these vermin and animal can’t be recognized in their curable stage and farmer could usage the pesticides and insecticides without knowing it. Then this could reduce the efficient state. So the paper presents here, we use the design of an Automated Ultrasonic-insects and animal repeller that constitute of an ultrasonic sensor, an motion-sensor, a GSM module and Arduino Uno board.This detect the sound of vermin by noticing ultrasonic signals propagated by provisioning event of vermin in crops. Then the presence of vermin proved by the motion sensor. Once presence of vermin confirmed by both the sensors Arduino Uno board start ultrasonic repeller by which the animal or insect goes away from that area and a memorandum will be sent by using GSM module and then farmer get ready for protecting it and they can use pesticides or insecticides according to their crops.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"3 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75745794","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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