Pub Date : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753040
M. Manohar, R. Lohani
The challenges faced by solar systems meant for rural home require low component costs and count, high efficiency and safety of the batteries used in the systems. This Paper discusses a simple configuration for constant current PWM LED driver. The three requirements of cost, efficiency, and safety are achieved by the simple gate FET driver circuit which uses commonly available components. Efficiencies of over 90% were noted during testing.
{"title":"Low Cost-Efficient Buck Converter Gate Driver for LED Lights for Solar Applications","authors":"M. Manohar, R. Lohani","doi":"10.1109/ICGCIOT.2018.8753040","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753040","url":null,"abstract":"The challenges faced by solar systems meant for rural home require low component costs and count, high efficiency and safety of the batteries used in the systems. This Paper discusses a simple configuration for constant current PWM LED driver. The three requirements of cost, efficiency, and safety are achieved by the simple gate FET driver circuit which uses commonly available components. Efficiencies of over 90% were noted during testing.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121827321","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8752986
Jay Sharma, T. Choudhury, Praveen Kumar
With the dawn of SSDs, the storage though has become incredibly faster but purchasing higher capacities have skyrocketing price tags associated. It is but natural for a user to be lured into buying a lower storage but high performance SSD instead of a higher capacity HDD with terribly slow transfer rates. Installing heavy software could be a pain on SSDs due to paucity of space. Lightweight applications take up less space on the drive while achieving the same results of a conventional application under same hardware. Most companies are shifting to using SSDs for all their computer systems as a standard and hence the storage problem becomes more evident. A lightweight application development mechanism aims to solve the problem.
{"title":"Lightweight Application Development Mechanisms for UNIX based Environments","authors":"Jay Sharma, T. Choudhury, Praveen Kumar","doi":"10.1109/ICGCIOT.2018.8752986","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8752986","url":null,"abstract":"With the dawn of SSDs, the storage though has become incredibly faster but purchasing higher capacities have skyrocketing price tags associated. It is but natural for a user to be lured into buying a lower storage but high performance SSD instead of a higher capacity HDD with terribly slow transfer rates. Installing heavy software could be a pain on SSDs due to paucity of space. Lightweight applications take up less space on the drive while achieving the same results of a conventional application under same hardware. Most companies are shifting to using SSDs for all their computer systems as a standard and hence the storage problem becomes more evident. A lightweight application development mechanism aims to solve the problem.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117213334","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753064
Miss Pragati G. Rashinkar, Nitesh B. Guinde
The concept of Software Defined Radio (SDR) has become very popular in molding of the Digital Communication System due to its flexibility and advantages. It is form of a radio where the conventional hardware components such as the modulators, mixers, filters etc is replaced by software implementation on personal computers. For complicated algorithms, the Field Programmable Gate Array (FPGA) is often utilized as a hardware accelerator while the host computer becomes the processing tailback. My work exhibits the operation of SDR targeted on FPGA hardware (Avnet’s ZedBoard Zynq-7000 and Analog Device AD9361). This is achieved by using Xilinx’s System Generator programming and Matlab environment.We have illustrated our work by realizing ADS-B Aircraft Tracking System, by which it can detect the pre captured as well as live aircrafts.
{"title":"Signal Analysis of Software Defined Radio on Field Programmable Gate Array","authors":"Miss Pragati G. Rashinkar, Nitesh B. Guinde","doi":"10.1109/ICGCIOT.2018.8753064","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753064","url":null,"abstract":"The concept of Software Defined Radio (SDR) has become very popular in molding of the Digital Communication System due to its flexibility and advantages. It is form of a radio where the conventional hardware components such as the modulators, mixers, filters etc is replaced by software implementation on personal computers. For complicated algorithms, the Field Programmable Gate Array (FPGA) is often utilized as a hardware accelerator while the host computer becomes the processing tailback. My work exhibits the operation of SDR targeted on FPGA hardware (Avnet’s ZedBoard Zynq-7000 and Analog Device AD9361). This is achieved by using Xilinx’s System Generator programming and Matlab environment.We have illustrated our work by realizing ADS-B Aircraft Tracking System, by which it can detect the pre captured as well as live aircrafts.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123769163","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}
As the heavily loaded world of information is coming out with rapid growth, the need for securing specific details also have a great significance. Among the many proposed lightweight block ciphers out there, the main focus nowadays is on their simple design specifications. In this paper, we have proposed a new involutive block cipher of 256-bit block size which is a member of the Extended LS-Designs.
{"title":"An involutive lightweight block cipher for 256-bit block size","authors":"Sukanya Saha, Krishnendu Rarhi, Abhishek Bhattacharya, Pratyusa Mukherjee","doi":"10.1109/ICGCIOT.2018.8753016","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753016","url":null,"abstract":"As the heavily loaded world of information is coming out with rapid growth, the need for securing specific details also have a great significance. Among the many proposed lightweight block ciphers out there, the main focus nowadays is on their simple design specifications. In this paper, we have proposed a new involutive block cipher of 256-bit block size which is a member of the Extended LS-Designs.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125436650","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753025
Sareena Rose, S. Nickolas, S. Sangeetha
Soil is called as the skin of the earth and is greatly influenced by geographical, environmental and weather parameters. Its rich nutrient and mineral content, plays an eminent role in regulating the essence of the ecosystem. Various studies were carried out by the researchers in predicting different parameters for knowing the characteristics of the soil-its nutrient and mineral content- and their usefulness in finding the soil fertility status. There are so many parameters available and their contribution in predicting the soil fertility is a cumbersome job for the agriculture scientist, where automated analytical process plays a major role. The machine learning approaches combined with statistical inferences brings out the novel ways in improving the accuracy of prediction by identifying the important attributes of soil fertility. In this paper, a study is made on different parameters used in the literature for defining the characteristics of the soil and how they are used as input for machine learning algorithms/analysis for predicting the soil fertility. Based on this study, it could be observed that prediction techniques could be efficiently applied over optimized soil parameters for soil fertility prediction with more accuracy and less human intervention.
{"title":"Machine Learning and Statistical Approaches used in Estimating Parameters that Affect the Soil Fertility Status: A Survey","authors":"Sareena Rose, S. Nickolas, S. Sangeetha","doi":"10.1109/ICGCIOT.2018.8753025","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753025","url":null,"abstract":"Soil is called as the skin of the earth and is greatly influenced by geographical, environmental and weather parameters. Its rich nutrient and mineral content, plays an eminent role in regulating the essence of the ecosystem. Various studies were carried out by the researchers in predicting different parameters for knowing the characteristics of the soil-its nutrient and mineral content- and their usefulness in finding the soil fertility status. There are so many parameters available and their contribution in predicting the soil fertility is a cumbersome job for the agriculture scientist, where automated analytical process plays a major role. The machine learning approaches combined with statistical inferences brings out the novel ways in improving the accuracy of prediction by identifying the important attributes of soil fertility. In this paper, a study is made on different parameters used in the literature for defining the characteristics of the soil and how they are used as input for machine learning algorithms/analysis for predicting the soil fertility. Based on this study, it could be observed that prediction techniques could be efficiently applied over optimized soil parameters for soil fertility prediction with more accuracy and less human intervention.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116129483","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8752992
S. Karthikeyan, Renga Preethi N S
Ultra Wide Band radar renders a salient role in rescuing living beings during disasters or calamities. UWB radar is a kind of sensor that senses the human beings who are buried in the collapsed environment. In the existing system, keying the vital signs (heartbeat and breathing) in complex environment is challenging due to low Signal to Noise Ratio (SNR). The primary tool used for monitoring heartbeat is the voltage-derived Electro Cardio Gram (ECG). An Electrical signal causes the heart muscle to contract and affects the victim. The lack of first aid and medication facilities in the nearby region results in loss of many life. In the proposed system, by using Advanced Signal Processing approaches can identify the victims in complex environments. This can be done by using Data mining and Discrete Wavelet Transform (DWT) is in which a signal is split up in to a set of basic functions and it is required for clinical decision support. This paper presents an advanced signal mining which is the combination of signal processing and data mining. The proposed system is done by MATLAB. In this system the information will be collected and given it to first aid assistance team. The time consume will be reduced using UWB radar along with data mining.
{"title":"Life detection system using UWB Radar During Disaster","authors":"S. Karthikeyan, Renga Preethi N S","doi":"10.1109/ICGCIOT.2018.8752992","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8752992","url":null,"abstract":"Ultra Wide Band radar renders a salient role in rescuing living beings during disasters or calamities. UWB radar is a kind of sensor that senses the human beings who are buried in the collapsed environment. In the existing system, keying the vital signs (heartbeat and breathing) in complex environment is challenging due to low Signal to Noise Ratio (SNR). The primary tool used for monitoring heartbeat is the voltage-derived Electro Cardio Gram (ECG). An Electrical signal causes the heart muscle to contract and affects the victim. The lack of first aid and medication facilities in the nearby region results in loss of many life. In the proposed system, by using Advanced Signal Processing approaches can identify the victims in complex environments. This can be done by using Data mining and Discrete Wavelet Transform (DWT) is in which a signal is split up in to a set of basic functions and it is required for clinical decision support. This paper presents an advanced signal mining which is the combination of signal processing and data mining. The proposed system is done by MATLAB. In this system the information will be collected and given it to first aid assistance team. The time consume will be reduced using UWB radar along with data mining.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128746442","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8752972
Komal V. Autkar, S. S. Dhamse
Rise in population and over use of conventional energy sources have followed by several environmental problems. These problems have resulted in the uprising of new technologies of Distributed Energy Resources (DER) like Photo-Voltaic, Biomass, Hydroelectric power, Wind energy system on abundant scale. Wind Energy Conversion (WEC) system is one of the rapidly uprising technique to use renewable energy resource. Integration of these WEC systems into the main power grid is done with the help of conventional line frequency step-up transformer which plays a crucial role. Nowadays, several efforts have been taken to use power electronics based Solid State Transformers (SST) instead of conventional line frequency transformers. The concept of SST interfaced Doubly Fed Induction Generator (DFIG) based WEC system is exhibited and simulated using MATLAB/ Simulink in this paper. Installation of SST in place of conventional line frequency transformer in WEC systems has certain advantages like: reactive power compensation, smooth voltage conversion, active power transfer, etc. A Simulink model of SST interfaced DFIG fed WEC system and conventional line frequency transformer interfaced DFIG fed WEC system is developed to show PCC voltage comparison for both the system.
{"title":"Comparative Analysis of Solid State Transformer and Conventional Transformer for Doubly Fed Induction Generator fed Wind Energy Conversion System","authors":"Komal V. Autkar, S. S. Dhamse","doi":"10.1109/ICGCIOT.2018.8752972","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8752972","url":null,"abstract":"Rise in population and over use of conventional energy sources have followed by several environmental problems. These problems have resulted in the uprising of new technologies of Distributed Energy Resources (DER) like Photo-Voltaic, Biomass, Hydroelectric power, Wind energy system on abundant scale. Wind Energy Conversion (WEC) system is one of the rapidly uprising technique to use renewable energy resource. Integration of these WEC systems into the main power grid is done with the help of conventional line frequency step-up transformer which plays a crucial role. Nowadays, several efforts have been taken to use power electronics based Solid State Transformers (SST) instead of conventional line frequency transformers. The concept of SST interfaced Doubly Fed Induction Generator (DFIG) based WEC system is exhibited and simulated using MATLAB/ Simulink in this paper. Installation of SST in place of conventional line frequency transformer in WEC systems has certain advantages like: reactive power compensation, smooth voltage conversion, active power transfer, etc. A Simulink model of SST interfaced DFIG fed WEC system and conventional line frequency transformer interfaced DFIG fed WEC system is developed to show PCC voltage comparison for both the system.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121483622","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753107
Tanuja Jha, Shipra Saraswat
The creation of website is not sufficient for the promotion of a brand or service. It is essential to optimize the website in order to increase the website traffic by using the method of Search Engine Optimization. SEO includes Black Hat and White Hat methods of website optimization. At present, both the Black Hat and White Hat SEO techniques have been used to improve the rank of the website on the result page of search engine. This paper will help in understanding what actually separates White Hat SEO techniques from Black Hat SEO techniques. The outcome of this paper helps in understanding the use of Black Hat SEO techniques though being illegal method of optimizing your website and reach to a conclusion that which method is best for optimization of your website.
{"title":"Selecting the Best Approach for Website Optimization","authors":"Tanuja Jha, Shipra Saraswat","doi":"10.1109/ICGCIOT.2018.8753107","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753107","url":null,"abstract":"The creation of website is not sufficient for the promotion of a brand or service. It is essential to optimize the website in order to increase the website traffic by using the method of Search Engine Optimization. SEO includes Black Hat and White Hat methods of website optimization. At present, both the Black Hat and White Hat SEO techniques have been used to improve the rank of the website on the result page of search engine. This paper will help in understanding what actually separates White Hat SEO techniques from Black Hat SEO techniques. The outcome of this paper helps in understanding the use of Black Hat SEO techniques though being illegal method of optimizing your website and reach to a conclusion that which method is best for optimization of your website.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124324821","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753100
Swapnil Bhardwaj, Saru Dhir, Madhurima Hooda
An ample amount of water quantity is vital for a plant to grow. People are unable to water the plants when they go on vacations or regularly fail to remember to water plants, which results into damaging the plants. Giving water to plants is one of the most significant practice and overall a labor demanding work. Automatic watering systems lessen the responsibility of watering the plants when there is a requirement. The two major part of watering method is to know when and how much to water the plants. In this paper, a system is implemented such that it will sense the soil moisture content of the plant and turn the motor ON to water the plant when needed. This system makes the plant more self-reliant by watering itself.
{"title":"Automatic Plant Watering System using IoT","authors":"Swapnil Bhardwaj, Saru Dhir, Madhurima Hooda","doi":"10.1109/ICGCIOT.2018.8753100","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753100","url":null,"abstract":"An ample amount of water quantity is vital for a plant to grow. People are unable to water the plants when they go on vacations or regularly fail to remember to water plants, which results into damaging the plants. Giving water to plants is one of the most significant practice and overall a labor demanding work. Automatic watering systems lessen the responsibility of watering the plants when there is a requirement. The two major part of watering method is to know when and how much to water the plants. In this paper, a system is implemented such that it will sense the soil moisture content of the plant and turn the motor ON to water the plant when needed. This system makes the plant more self-reliant by watering itself.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125640164","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 : 2018-08-01DOI: 10.1109/ICGCIOT.2018.8753090
Nambiar Jyothi Ravindran, P. Gopalakrishnan
Healthcare companies are in an endless state of flux. They are underneath massive stress to predict health concerns of clients and to create excess premium holders which will at the same time diminish the cost. Patient’s readmission is often costly and shows shortfalls in the healthcare organizations. The cost of readmitted patients goes beyond 250 million dollars every year nationwide. Several healthcare agencies have started adopting Data Mining and Predictive Analysis. Predictive analysis involves various statistical techniques from modeling, machine learning, and data mining that breaks down past and present realism to forecasts the future. Henceforth, this paper is intended to propose a technique combining Apache Spark and deep learning based stacked ensemble method as a hybrid approach for predicting the readmission possibilities. Paper also focuses upon risk vindication strategies to predict patients with readmission possibility. This is implemented by considering medical data and estimating risk related using stacked machine learning techniques. With the application of such a framework that can satisfactorily classify the patient with readmission chance will help the healthcare companies to bestow top quality on healthcare systems. This technique helps achieve higher predictive accuracy of 90.69 % and RMSE score of 0.2521. Our empirical investigation demonstrates that this approach is helpful and can profit future research in the healthcare industry.
{"title":"Predictive Analysis for Healthcare Sector Using Big data Technology","authors":"Nambiar Jyothi Ravindran, P. Gopalakrishnan","doi":"10.1109/ICGCIOT.2018.8753090","DOIUrl":"https://doi.org/10.1109/ICGCIOT.2018.8753090","url":null,"abstract":"Healthcare companies are in an endless state of flux. They are underneath massive stress to predict health concerns of clients and to create excess premium holders which will at the same time diminish the cost. Patient’s readmission is often costly and shows shortfalls in the healthcare organizations. The cost of readmitted patients goes beyond 250 million dollars every year nationwide. Several healthcare agencies have started adopting Data Mining and Predictive Analysis. Predictive analysis involves various statistical techniques from modeling, machine learning, and data mining that breaks down past and present realism to forecasts the future. Henceforth, this paper is intended to propose a technique combining Apache Spark and deep learning based stacked ensemble method as a hybrid approach for predicting the readmission possibilities. Paper also focuses upon risk vindication strategies to predict patients with readmission possibility. This is implemented by considering medical data and estimating risk related using stacked machine learning techniques. With the application of such a framework that can satisfactorily classify the patient with readmission chance will help the healthcare companies to bestow top quality on healthcare systems. This technique helps achieve higher predictive accuracy of 90.69 % and RMSE score of 0.2521. Our empirical investigation demonstrates that this approach is helpful and can profit future research in the healthcare industry.","PeriodicalId":269682,"journal":{"name":"2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115894438","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：