Pub Date : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182354
F. P. R. Rouniyar, S. Saxena, T. K. Sahoo
Shopping malls are the place where people get their basic daily requirements such as food items, clothing, fashion accessories, electrical appliances and so on. Nowadays we can find shopping malls every few meters in any developed or developing cities around the globe. Sometimes customers face the problem of having inadequate information about the products and have to lose their valuable time at the billing counters waiting for their turn to come. Constant enhancement is required in the traditional billing system to advance the quality of shopping experience for the customers. To overcome these difficulties and to advance the present existing system, we are putting up our approach on an RFID based Smart Shopping Automation System (SSAS) including automated bill calculator, this approach is carried by attaching RFID tags to the products or items and an RFID reader with a touch panel display at the EXIT gate along with some other important components. With this approach of shopping system, customers will have complete information about the price of every product that is scanned in by the reader, and the total price of the items at the end. SSAS will save the customer’s time and labor required in malls and costs related to the products. Thus, this paper presents a preliminary development of the SSAS that can be integrated into the malls with smarts facilities to make shopping an automated experience.
{"title":"SSAS: RFID-BASED Smart Shopping Automation System","authors":"F. P. R. Rouniyar, S. Saxena, T. K. Sahoo","doi":"10.1109/ICCSP48568.2020.9182354","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182354","url":null,"abstract":"Shopping malls are the place where people get their basic daily requirements such as food items, clothing, fashion accessories, electrical appliances and so on. Nowadays we can find shopping malls every few meters in any developed or developing cities around the globe. Sometimes customers face the problem of having inadequate information about the products and have to lose their valuable time at the billing counters waiting for their turn to come. Constant enhancement is required in the traditional billing system to advance the quality of shopping experience for the customers. To overcome these difficulties and to advance the present existing system, we are putting up our approach on an RFID based Smart Shopping Automation System (SSAS) including automated bill calculator, this approach is carried by attaching RFID tags to the products or items and an RFID reader with a touch panel display at the EXIT gate along with some other important components. With this approach of shopping system, customers will have complete information about the price of every product that is scanned in by the reader, and the total price of the items at the end. SSAS will save the customer’s time and labor required in malls and costs related to the products. Thus, this paper presents a preliminary development of the SSAS that can be integrated into the malls with smarts facilities to make shopping an automated experience.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127134535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182277
K. Lakshmi, Akshada Muneshwar, A. Ratnam, Prakash Kodali
Assistance for any person with disability in movement is always necessary. Spinal cord injuries, strokes and many more are the reasons for paralysis. In view point of the people with paralysis who can move their finger or toe we have designed an assistance and remote-control system. Our system differs from traditional assistance systems and methods which require a large hardware setup and bulk software coding which is not feasible to the patient. Our model helps people with facial and limb paralysis to control their surroundings like control airconditioning, TV or any other device using NodeMCU modules and ask for assistance through simple operations. This proposed model deals with flex sensor placed on finger/toe. It picks up bending in finger and translates to a selective control. Further the Arduino micro-controller is used which assists the patient and communicates the patient’s condition to the concerned person using one of its units in case of emergency.
{"title":"Patient Assistance using Flex Sensor","authors":"K. Lakshmi, Akshada Muneshwar, A. Ratnam, Prakash Kodali","doi":"10.1109/ICCSP48568.2020.9182277","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182277","url":null,"abstract":"Assistance for any person with disability in movement is always necessary. Spinal cord injuries, strokes and many more are the reasons for paralysis. In view point of the people with paralysis who can move their finger or toe we have designed an assistance and remote-control system. Our system differs from traditional assistance systems and methods which require a large hardware setup and bulk software coding which is not feasible to the patient. Our model helps people with facial and limb paralysis to control their surroundings like control airconditioning, TV or any other device using NodeMCU modules and ask for assistance through simple operations. This proposed model deals with flex sensor placed on finger/toe. It picks up bending in finger and translates to a selective control. Further the Arduino micro-controller is used which assists the patient and communicates the patient’s condition to the concerned person using one of its units in case of emergency.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127242077","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}
Biological signals from the human body play a significance role in monitoring health condition of person. Among these signals which are derived from heart are coined as Electrocardiogram (ECG). The ECG signals allow cardiologist physician to know about the condition of the heart such as stroke and arrhythmia. But the problem in existing ECG unit in hospital care unit have three to twelve electrodes system with the wet Ag/AgCl electrode which needs well trained person. The research objective is to develop and design self-monitoring ECG system with dual electrode from the finger site for people who are suffering from and have a history of a cardio abnormality at home or workplace. Since all biological signals have noise and low frequency so the acquired signal is passed through designed filter and amplifiers. Further acquired signal are display and analyzed interfacing with NI myDAQ and biomedical workbench. 20 subjects of age under 30year ECG signal are acquired using developed prototype and heart rate is calculated. The ECG signals from developed prototype are compared with conventional ECG unit and almost similar results are obtained. Hence, the developed prototype can be used for monitor cardiovascular disease status for people suffering from arrhythmia as well as the athletes and soldiers can benefit to keep track of their heart condition. The developed ECG system is economical and safe to use.
{"title":"Dual Electrodes System for acquisition of ECG Waveform","authors":"Pema Wangmo, Mannat Uppal, Oinam Robita Chanu, Amritaa Easwaran, Goli Ramyavani","doi":"10.1109/ICCSP48568.2020.9182278","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182278","url":null,"abstract":"Biological signals from the human body play a significance role in monitoring health condition of person. Among these signals which are derived from heart are coined as Electrocardiogram (ECG). The ECG signals allow cardiologist physician to know about the condition of the heart such as stroke and arrhythmia. But the problem in existing ECG unit in hospital care unit have three to twelve electrodes system with the wet Ag/AgCl electrode which needs well trained person. The research objective is to develop and design self-monitoring ECG system with dual electrode from the finger site for people who are suffering from and have a history of a cardio abnormality at home or workplace. Since all biological signals have noise and low frequency so the acquired signal is passed through designed filter and amplifiers. Further acquired signal are display and analyzed interfacing with NI myDAQ and biomedical workbench. 20 subjects of age under 30year ECG signal are acquired using developed prototype and heart rate is calculated. The ECG signals from developed prototype are compared with conventional ECG unit and almost similar results are obtained. Hence, the developed prototype can be used for monitor cardiovascular disease status for people suffering from arrhythmia as well as the athletes and soldiers can benefit to keep track of their heart condition. The developed ECG system is economical and safe to use.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"72 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126614384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182093
B. Thamaraichelvi
In this proposed method, Magnetic Resonance (MR) Brain image segmentation technique based on Pulse Coupled Neural Network (PCNN) clustering combined with Particle Swarm optimization (PSO) approach has been presented. Since, PCNN is robust to noise, the input image is added with 0.05 Level of impulsive noise and the segmented output was analysed based on the fractions, selectivity and sensitivity. Accuracy of the proposed technique was found to be 93%. Moreover, in this proposed method, instead of selecting the parameters of PCNN in a random manner, they are optimized using PSO technique.
{"title":"PSO optimized Pulse Coupled Neural Network for Segmenting MR Brain Image","authors":"B. Thamaraichelvi","doi":"10.1109/ICCSP48568.2020.9182093","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182093","url":null,"abstract":"In this proposed method, Magnetic Resonance (MR) Brain image segmentation technique based on Pulse Coupled Neural Network (PCNN) clustering combined with Particle Swarm optimization (PSO) approach has been presented. Since, PCNN is robust to noise, the input image is added with 0.05 Level of impulsive noise and the segmented output was analysed based on the fractions, selectivity and sensitivity. Accuracy of the proposed technique was found to be 93%. Moreover, in this proposed method, instead of selecting the parameters of PCNN in a random manner, they are optimized using PSO technique.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"159 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128930953","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}
Over the last few decades, the quality of air has been deteriorating at an alarming rate leading to demise of nearly seven million people annually worldwide. In the midst of the above worrisome facts citizens across the globe deserve transparency about the quality of the environment they live in, so that appropriate decisions could be taken before it is too late. Keeping this in mind a prototype for an air quality monitoring system has been developed in this work. The proposed air quality monitoring device comprises of a NodeMCU ESP32, a MQ-135 gas sensor and a DHT-11 temperature and humidity sensor module. As compared to other counterparts available, our proposed system gives an upper hand in terms of small size, efficient power usage and cost. The sensors record the data and send it to the NodeMCU acting as the base station of the overall setup. Having an inbuilt microcontroller and an onchip Wi-Fi transceiver, the NodeMCU not only serves the purpose of monitoring the data but also sending it to a remote server empowering tremendous scope for physical world to be communicated at a very fine and detailed level. The gas sensor records the concentration of toxic gases like NOx, CO2, benzene, smoke and gives an overall air quality parameter. If the concentration of the toxic gases exceeds a standard value an alert message is also displayed on the server. The integrated system could possibly be a big yes for the smart cities to justify steps to control pollution level in the years to follow.
{"title":"Development of an IoT-based Real-Time Air Quality Monitoring Device","authors":"Bikash Kumar Moharana, Prateek Anand, Sarvesh Kumar, Prakash Kodali","doi":"10.1109/ICCSP48568.2020.9182330","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182330","url":null,"abstract":"Over the last few decades, the quality of air has been deteriorating at an alarming rate leading to demise of nearly seven million people annually worldwide. In the midst of the above worrisome facts citizens across the globe deserve transparency about the quality of the environment they live in, so that appropriate decisions could be taken before it is too late. Keeping this in mind a prototype for an air quality monitoring system has been developed in this work. The proposed air quality monitoring device comprises of a NodeMCU ESP32, a MQ-135 gas sensor and a DHT-11 temperature and humidity sensor module. As compared to other counterparts available, our proposed system gives an upper hand in terms of small size, efficient power usage and cost. The sensors record the data and send it to the NodeMCU acting as the base station of the overall setup. Having an inbuilt microcontroller and an onchip Wi-Fi transceiver, the NodeMCU not only serves the purpose of monitoring the data but also sending it to a remote server empowering tremendous scope for physical world to be communicated at a very fine and detailed level. The gas sensor records the concentration of toxic gases like NOx, CO2, benzene, smoke and gives an overall air quality parameter. If the concentration of the toxic gases exceeds a standard value an alert message is also displayed on the server. The integrated system could possibly be a big yes for the smart cities to justify steps to control pollution level in the years to follow.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129137577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182199
P. Jayasree, M. Ponmani Raja
Orthogonal Frequency Division Multiplexing (OFDM) is a digital modulation technique which is widely applied in broadband communication systems. The concept of OFDM is to spliting a large data rate into low rate streams that are transmitted concurrently over a number of subcarriers. The disadvantage of OFDM is that the composite signal can shows a high Peak to Average Power Ratio (PAPR). PAPR is the proportion of maximal value of the signal to the mean value of the signal. At transmitter side, large peak values as input to high power amplifiers. this cause, high power amplifiers behave in non-linear section directing to nonlinear degradation. Greater PAPR appear in non-linearities in transmitting side, following to complicate operating. So, minimization of PAPR is compulsory for slighter difficulties, favourable effectiveness and significant constancy. Many methods have been suggested to diminish PAPR over the years. The prefered method can be minimize PAPR is effectively using precoding combined with new error function companding. The proposed technique is an excellent method for minimizing the PAPR of signals with acceptable BER compared to other systems.
{"title":"Hybrid Techniques for Reducing PAPR in OFDM Systems","authors":"P. Jayasree, M. Ponmani Raja","doi":"10.1109/ICCSP48568.2020.9182199","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182199","url":null,"abstract":"Orthogonal Frequency Division Multiplexing (OFDM) is a digital modulation technique which is widely applied in broadband communication systems. The concept of OFDM is to spliting a large data rate into low rate streams that are transmitted concurrently over a number of subcarriers. The disadvantage of OFDM is that the composite signal can shows a high Peak to Average Power Ratio (PAPR). PAPR is the proportion of maximal value of the signal to the mean value of the signal. At transmitter side, large peak values as input to high power amplifiers. this cause, high power amplifiers behave in non-linear section directing to nonlinear degradation. Greater PAPR appear in non-linearities in transmitting side, following to complicate operating. So, minimization of PAPR is compulsory for slighter difficulties, favourable effectiveness and significant constancy. Many methods have been suggested to diminish PAPR over the years. The prefered method can be minimize PAPR is effectively using precoding combined with new error function companding. The proposed technique is an excellent method for minimizing the PAPR of signals with acceptable BER compared to other systems.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"24 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116639350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182065
Pradeep Kumar Mugithe, Rohit Varma Mudunuri, B. Rajasekar, S. Karthikeyan
Farming is the foundation of Indian economy. In recent years, crop yield is not as expected because the plants are drastically affected by diseases. Hence the farmer has to apply the pesticides for the entire farm periodically. It not only results in wastage of manpower, money and time, but also in increase of toxic levels in vegetables. Consuming such vegetables effects both animal and human life. Hence it is necessary to obtain a balance between high yield and less toxic vegetables. It is possible only when pesticides are applied to disease affected plants. Owing to the large size of the farm, manual inspection is not possible. Hence it is necessary to develop an automated disease detecting and alerting system. The proposed system aims at developing image processing technique for disease detection and alerting. Steps involved in this are image acquisition, image processing, image segmentation, feature extraction, classification and disease categorization. After detecting the disease, it sends the alerts through the buzzer.
{"title":"Image Processing Technique for Automatic Detection of Plant Diseases and Alerting System in Agricultural Farms","authors":"Pradeep Kumar Mugithe, Rohit Varma Mudunuri, B. Rajasekar, S. Karthikeyan","doi":"10.1109/ICCSP48568.2020.9182065","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182065","url":null,"abstract":"Farming is the foundation of Indian economy. In recent years, crop yield is not as expected because the plants are drastically affected by diseases. Hence the farmer has to apply the pesticides for the entire farm periodically. It not only results in wastage of manpower, money and time, but also in increase of toxic levels in vegetables. Consuming such vegetables effects both animal and human life. Hence it is necessary to obtain a balance between high yield and less toxic vegetables. It is possible only when pesticides are applied to disease affected plants. Owing to the large size of the farm, manual inspection is not possible. Hence it is necessary to develop an automated disease detecting and alerting system. The proposed system aims at developing image processing technique for disease detection and alerting. Steps involved in this are image acquisition, image processing, image segmentation, feature extraction, classification and disease categorization. After detecting the disease, it sends the alerts through the buzzer.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132516466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182225
Soumya S Pillai, R. K. Megalingam
Medical imaging or processing involves a wide range of computations on which the accuracy of analysis depends on the most. So to enhance the accuracy of analysis we need to reduce the computational geometric problems. Usually problems occur during the image segmentation or shape approximation or 3D modeling, and volumetric data registration. Con-formal geometric algebra is an effective paradigm to all this problems. The images we obtain after the MRI scan is 2D image from which the tumor has to be identified. This paper provides a key to identify the growth of the tumor in the regions inside the brain and to develop a 3D modeling of the tumor for the future reference which may help the doctor in the treatment of the tumor affected patient effectively. For the accurate prediction of whether a tumor is there in the brain related regions or not 2D image obtained must be first taken for the noise removal.
{"title":"Detection and 3D Modeling of Brain Tumor using Machine learning and Conformal Geometric Algebra","authors":"Soumya S Pillai, R. K. Megalingam","doi":"10.1109/ICCSP48568.2020.9182225","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182225","url":null,"abstract":"Medical imaging or processing involves a wide range of computations on which the accuracy of analysis depends on the most. So to enhance the accuracy of analysis we need to reduce the computational geometric problems. Usually problems occur during the image segmentation or shape approximation or 3D modeling, and volumetric data registration. Con-formal geometric algebra is an effective paradigm to all this problems. The images we obtain after the MRI scan is 2D image from which the tumor has to be identified. This paper provides a key to identify the growth of the tumor in the regions inside the brain and to develop a 3D modeling of the tumor for the future reference which may help the doctor in the treatment of the tumor affected patient effectively. For the accurate prediction of whether a tumor is there in the brain related regions or not 2D image obtained must be first taken for the noise removal.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132744799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182090
Sakthivel Sankaran, M. Rajasekaran, V. Govindaraj, P. Sowmiya, S. ShinyRebekka, B. Kaleeswaran
Cyanide is one of the most vigorous toxins which contains in plants naturally and it can affect all the animals especially in cattle. Cogitative can be easily affected by this toxic substance from consuming various kinds of natural plants like sorghum and Johnson grass. Most of the plant species contains cyanogenic glycosides and these cyanogenic glycosides are converted to hydrogen cyanide by hydrolyzation in the cattle body. After the hydrolyzation, hydrogen cyanide combine with methemoglobin is hemoglobin in the form of metalloprotein and this composite constrain the oxidative phosphorylation. As a ramification of this process the affected cogitative animals may die. This toxic cyanide can affect animals rapidly. In olden process the cyanide detection can be identified using the cherryred color change of the blood of affected cattle and in the necropsy early formation of death attendance are the cardinal symptoms of cyanide poisoning. If the treatment performed rapidly, toxin can be neutralized but in the most cases the animals die due to rapidly acting nature of the toxin. It is more important to prevent cattle from the toxic substances.
{"title":"Acute Cyanide Poisoning: Identification of Prussic Acid in by Analyzing of Various Parameters in Cattle","authors":"Sakthivel Sankaran, M. Rajasekaran, V. Govindaraj, P. Sowmiya, S. ShinyRebekka, B. Kaleeswaran","doi":"10.1109/ICCSP48568.2020.9182090","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182090","url":null,"abstract":"Cyanide is one of the most vigorous toxins which contains in plants naturally and it can affect all the animals especially in cattle. Cogitative can be easily affected by this toxic substance from consuming various kinds of natural plants like sorghum and Johnson grass. Most of the plant species contains cyanogenic glycosides and these cyanogenic glycosides are converted to hydrogen cyanide by hydrolyzation in the cattle body. After the hydrolyzation, hydrogen cyanide combine with methemoglobin is hemoglobin in the form of metalloprotein and this composite constrain the oxidative phosphorylation. As a ramification of this process the affected cogitative animals may die. This toxic cyanide can affect animals rapidly. In olden process the cyanide detection can be identified using the cherryred color change of the blood of affected cattle and in the necropsy early formation of death attendance are the cardinal symptoms of cyanide poisoning. If the treatment performed rapidly, toxin can be neutralized but in the most cases the animals die due to rapidly acting nature of the toxin. It is more important to prevent cattle from the toxic substances.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132790682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-07-01DOI: 10.1109/ICCSP48568.2020.9182135
K.A. Karthigeyan, S. Radha
This paper presents a current reuse oscillator designed for 5G millimeter band frequencies. The designed was VCO simulated with low-Q inductor on-chip CMOS integration. The oscillator generates a signal of 440mV amplitude running at 27. 7S GHz with the phase noise of -102.5dBc and 550 mV amplitude running at 40 GHz with the phase noise of-103.6 dBc at lMHz carrier offset. The oscillator circuit designed from a 1V supply drawing bias currents of 1.5 mA and 1 mA DC current for the lowest and highest frequency band operation.
{"title":"Current Reuse Oscillator Design for 5G Mobile Application using 90nm CMOS","authors":"K.A. Karthigeyan, S. Radha","doi":"10.1109/ICCSP48568.2020.9182135","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182135","url":null,"abstract":"This paper presents a current reuse oscillator designed for 5G millimeter band frequencies. The designed was VCO simulated with low-Q inductor on-chip CMOS integration. The oscillator generates a signal of 440mV amplitude running at 27. 7S GHz with the phase noise of -102.5dBc and 550 mV amplitude running at 40 GHz with the phase noise of-103.6 dBc at lMHz carrier offset. The oscillator circuit designed from a 1V supply drawing bias currents of 1.5 mA and 1 mA DC current for the lowest and highest frequency band operation.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133377182","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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