Pub Date : 2015-09-03DOI: 10.1109/EIC.2015.7230709
Madhuri M. Dharanguttikar, S. Pingat
Now a days as compare to power resources power demand grows and energy cost is also increasing at constant rate. To reduce power consumption in entire network infrastructure lots of research developed. In this approach the solution to save energy is explain. In this approach Energy Saving IP Routing strategy is define. ESIR strategy work with Open Shortest Path First protocol. This strategy is useful for Internet Service Provider (ISP) backbone network. This strategy finds the shortest path between neighboring routers by using SPT exportation mechanism. Another mechanism defines in this approach which is known as Maximum Set of Compatible Moves. This approach saves the energy by using all this above mechanism and also with the help of putting the node in sleep mode instead of completely removing such node. This strategy provides energy solution with quality of services (QoS). The proposed system implement algorithm to switch off the link according to traffic variation.
{"title":"Novel approach to save energy through OSPF routing protocol","authors":"Madhuri M. Dharanguttikar, S. Pingat","doi":"10.1109/EIC.2015.7230709","DOIUrl":"https://doi.org/10.1109/EIC.2015.7230709","url":null,"abstract":"Now a days as compare to power resources power demand grows and energy cost is also increasing at constant rate. To reduce power consumption in entire network infrastructure lots of research developed. In this approach the solution to save energy is explain. In this approach Energy Saving IP Routing strategy is define. ESIR strategy work with Open Shortest Path First protocol. This strategy is useful for Internet Service Provider (ISP) backbone network. This strategy finds the shortest path between neighboring routers by using SPT exportation mechanism. Another mechanism defines in this approach which is known as Maximum Set of Compatible Moves. This approach saves the energy by using all this above mechanism and also with the help of putting the node in sleep mode instead of completely removing such node. This strategy provides energy solution with quality of services (QoS). The proposed system implement algorithm to switch off the link according to traffic variation.","PeriodicalId":101532,"journal":{"name":"2014 International Conference on Advances in Communication and Computing Technologies (ICACACT 2014)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128215682","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 : 2015-09-03DOI: 10.1109/EIC.2015.7230734
Suresh Dara, H. Banka
A Binary Particle Swarm Optimization (BPSO) based features selection algorithm is proposed for selecting important feature subsets from high dimensional gene expression data. Since the data consists of a large number of redundant features, a heuristic based fast preprocessing strategy is used for reducing features as an intermediate step. At first, preprocessing performed on data for generating the distinction table which has been used as input for choosing the important features using BPSO for further selection. The fitness function has been suitably formulated in PSO frame work to handle the conflicting objectives i.e., reducing feature cardinality and maintaining distinctive capability (i.e., classification accuracy). Three high dimensional bench mark datasets considers (i.e. colon cancer, lymphoma and leukemia) and experimental results demonstrated with their detailed comparative studies using k-NN classifier.
{"title":"A binary PSO feature selection algorithm for gene expression data","authors":"Suresh Dara, H. Banka","doi":"10.1109/EIC.2015.7230734","DOIUrl":"https://doi.org/10.1109/EIC.2015.7230734","url":null,"abstract":"A Binary Particle Swarm Optimization (BPSO) based features selection algorithm is proposed for selecting important feature subsets from high dimensional gene expression data. Since the data consists of a large number of redundant features, a heuristic based fast preprocessing strategy is used for reducing features as an intermediate step. At first, preprocessing performed on data for generating the distinction table which has been used as input for choosing the important features using BPSO for further selection. The fitness function has been suitably formulated in PSO frame work to handle the conflicting objectives i.e., reducing feature cardinality and maintaining distinctive capability (i.e., classification accuracy). Three high dimensional bench mark datasets considers (i.e. colon cancer, lymphoma and leukemia) and experimental results demonstrated with their detailed comparative studies using k-NN classifier.","PeriodicalId":101532,"journal":{"name":"2014 International Conference on Advances in Communication and Computing Technologies (ICACACT 2014)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130052753","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 : 2015-09-03DOI: 10.1109/EIC.2015.7230708
Vivek Kachhatiya, S. Prince
We simulated the wavelength division multiplexing passive optical network (WDM-PON) prototype with 16 pair of wavelengths. 16 downstream wavelength multiplexed to down streaming 40Gb/s data from optical line terminal (OLT) to optical network unit (ONU) via 1:16 splitter at the remote node (RN). 16 upstream wavelength are combined at RN from ONU's and forwarded to the OLT. Amplifier section is placed only at the OLT side hence it pre-amplifying downstream signal and post-amplifying upstream signal. Upstream and downstream results are investigated and analyzed using simulated analyzer and it is found that upstream has better bit error rate (BER) and quality factor (Q-Factor) than the downstream signal.
{"title":"Performance improvement by post-amplifying upstream/downstream signal in WDM passive optical network","authors":"Vivek Kachhatiya, S. Prince","doi":"10.1109/EIC.2015.7230708","DOIUrl":"https://doi.org/10.1109/EIC.2015.7230708","url":null,"abstract":"We simulated the wavelength division multiplexing passive optical network (WDM-PON) prototype with 16 pair of wavelengths. 16 downstream wavelength multiplexed to down streaming 40Gb/s data from optical line terminal (OLT) to optical network unit (ONU) via 1:16 splitter at the remote node (RN). 16 upstream wavelength are combined at RN from ONU's and forwarded to the OLT. Amplifier section is placed only at the OLT side hence it pre-amplifying downstream signal and post-amplifying upstream signal. Upstream and downstream results are investigated and analyzed using simulated analyzer and it is found that upstream has better bit error rate (BER) and quality factor (Q-Factor) than the downstream signal.","PeriodicalId":101532,"journal":{"name":"2014 International Conference on Advances in Communication and Computing Technologies (ICACACT 2014)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117119847","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 : 2015-09-03DOI: 10.1109/EIC.2015.7230729
Brinal Colaco, S. Khan
Advances in technology have made it possible to collect personal and professional data about individuals and the connections between them, such as their email correspondence and friendships on the internet. Many agencies and researchers who have collected such social network data often have a compelling interest in allowing others to analyze the data. However, in many cases the social network data describes relationships that are private and sharing the data for analysis can result in unacceptable disclosures. Online Social Networks, such as Facebook, are increasingly utilized by many users today. These networks allow users to publish details about themselves and to connect to their friends. Most of the information revealed inside these networks is not private. Yet it is possible to use learning algorithms on released data to predict private information from public information. This paper focuses on the problem of private information leakage from the information present on the social networks. The main topic of the presented effort is the representation of the cause-effect relationships within social network data by the application of the soft computing technique of fuzzy Inference Systems. Also, sanitization techniques that could be used in various situations are suggested and effectiveness of these sanitization techniques is analyzed.
{"title":"Privacy preserving data mining for social networks","authors":"Brinal Colaco, S. Khan","doi":"10.1109/EIC.2015.7230729","DOIUrl":"https://doi.org/10.1109/EIC.2015.7230729","url":null,"abstract":"Advances in technology have made it possible to collect personal and professional data about individuals and the connections between them, such as their email correspondence and friendships on the internet. Many agencies and researchers who have collected such social network data often have a compelling interest in allowing others to analyze the data. However, in many cases the social network data describes relationships that are private and sharing the data for analysis can result in unacceptable disclosures. Online Social Networks, such as Facebook, are increasingly utilized by many users today. These networks allow users to publish details about themselves and to connect to their friends. Most of the information revealed inside these networks is not private. Yet it is possible to use learning algorithms on released data to predict private information from public information. This paper focuses on the problem of private information leakage from the information present on the social networks. The main topic of the presented effort is the representation of the cause-effect relationships within social network data by the application of the soft computing technique of fuzzy Inference Systems. Also, sanitization techniques that could be used in various situations are suggested and effectiveness of these sanitization techniques is analyzed.","PeriodicalId":101532,"journal":{"name":"2014 International Conference on Advances in Communication and Computing Technologies (ICACACT 2014)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116843390","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 : 2015-09-03DOI: 10.1109/EIC.2015.7230700
Paresh M. Dholakia, Sanjay Kumar, C. Vithlani, Mitesh Solanki
Many wireless networks are rapidly become part of our daily life. However, range and data rate in wireless devices are limited. One method is to use Multiple-Input Multiple-Output (MIMO) communication system to overcome these limitations. The multiple antennas allow MIMO systems to perform diversity coding (space-time coding), and spatial multiplexing. Beamforming consists of transmitting the same signal with different gain and phase (called weights) over all transmits antennas such that the receiver signal is maximized. Diversity consists of transmitting a single space-time coded stream through all antennas. Spatial multiplexing increases network capacity by splitting a high rate signal into multiple lower rate streams and transmitting them through the different antennas. The results of using these MIMO techniques is higher data rate or longer transmit range without requiring additional bandwidth or transmit power. This paper presents a detailed study of diversity coding for MIMO systems. Different space-time block coding (STBC) schemes including Alamouti's STBC for 2 transmit antennas as well as orthogonal STBC for 3 and 4 transmit antennas are explored. Finally, these OSTBC techniques are implemented in MATLAB and Simulink. Performance analysis is carried out and system results are observed by transmitting mp3 audio clip using QPSK, 16-QAM, and 64-QAM modulation schemes in Rayleigh fading distributions.
{"title":"On performance analysis of OSTBC-MIMO systems for audio [mp3] transmission in Rayleigh fading environments","authors":"Paresh M. Dholakia, Sanjay Kumar, C. Vithlani, Mitesh Solanki","doi":"10.1109/EIC.2015.7230700","DOIUrl":"https://doi.org/10.1109/EIC.2015.7230700","url":null,"abstract":"Many wireless networks are rapidly become part of our daily life. However, range and data rate in wireless devices are limited. One method is to use Multiple-Input Multiple-Output (MIMO) communication system to overcome these limitations. The multiple antennas allow MIMO systems to perform diversity coding (space-time coding), and spatial multiplexing. Beamforming consists of transmitting the same signal with different gain and phase (called weights) over all transmits antennas such that the receiver signal is maximized. Diversity consists of transmitting a single space-time coded stream through all antennas. Spatial multiplexing increases network capacity by splitting a high rate signal into multiple lower rate streams and transmitting them through the different antennas. The results of using these MIMO techniques is higher data rate or longer transmit range without requiring additional bandwidth or transmit power. This paper presents a detailed study of diversity coding for MIMO systems. Different space-time block coding (STBC) schemes including Alamouti's STBC for 2 transmit antennas as well as orthogonal STBC for 3 and 4 transmit antennas are explored. Finally, these OSTBC techniques are implemented in MATLAB and Simulink. Performance analysis is carried out and system results are observed by transmitting mp3 audio clip using QPSK, 16-QAM, and 64-QAM modulation schemes in Rayleigh fading distributions.","PeriodicalId":101532,"journal":{"name":"2014 International Conference on Advances in Communication and Computing Technologies (ICACACT 2014)","volume":"45 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134226453","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 : 2015-09-03DOI: 10.1109/EIC.2015.7230715
Diptee C. Pandhe, H. T. Patil
The ECG digital signal processing evolved in last decade and the need to store and transmit ECG signal data is continuously increasing. This paper involves analysis of an enhanced ECG compression and de-compression method. The method is evaluated on the basis of different compression and quality parameters like compression ratio (CR), percent root mean square difference (PRD), Signal to noise ratio (SNR), quality score (QS), etc. The compression algorithm includes three sequential processing phases: 1. Pre-processing and classification, 2. Linear transformation, 3. Entropy coding. The compression method is implemented by deciding a particular signal processing / coding algorithm for each of these phases. The de-compression technique is the inverse process of compression and it reconstructs the original signal with negligible loss of information. Finally, the described method is compared with existing ECG compression algorithms.
{"title":"ECG data compression for a portable ECG recorder and transmitter","authors":"Diptee C. Pandhe, H. T. Patil","doi":"10.1109/EIC.2015.7230715","DOIUrl":"https://doi.org/10.1109/EIC.2015.7230715","url":null,"abstract":"The ECG digital signal processing evolved in last decade and the need to store and transmit ECG signal data is continuously increasing. This paper involves analysis of an enhanced ECG compression and de-compression method. The method is evaluated on the basis of different compression and quality parameters like compression ratio (CR), percent root mean square difference (PRD), Signal to noise ratio (SNR), quality score (QS), etc. The compression algorithm includes three sequential processing phases: 1. Pre-processing and classification, 2. Linear transformation, 3. Entropy coding. The compression method is implemented by deciding a particular signal processing / coding algorithm for each of these phases. The de-compression technique is the inverse process of compression and it reconstructs the original signal with negligible loss of information. Finally, the described method is compared with existing ECG compression algorithms.","PeriodicalId":101532,"journal":{"name":"2014 International Conference on Advances in Communication and Computing Technologies (ICACACT 2014)","volume":"268 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133557426","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 : 2015-09-03DOI: 10.1109/EIC.2015.7230749
S. Hule, R. Bindu, D. Vincent
In this paper, an indirect vector control of induction motor is simulated and the speed is estimated using conventional Model Reference Adaptive System (MRAS). It is modified using neural network PI controller. A conventional mathematical model based MRAS speed estimator can give a relatively precise speed estimation result, but error will occur during low frequency operation. It is also very sensitive to machine parameter variations. Hence instead of PI controller a two-layered neural network PI controller (NNPIC) is used. With the help of projection algorithm, the parameters of the NNPIC are automatically adjusted and the difference between the two models of MRAS is minimized for speed estimation. Neural network-based MRAS estimator gave robust performance during low frequency and parameter variation. Also, this scheme reduced the work of tuning mechanism of PI controller. The estimated speed was taken as a feedback and the speed was controlled by indirect vector control using space vector pulse width modulation (SVPWM). The simulation results showed improvement in the performance of an induction motor drive.
{"title":"Sensorless vector control of three phase induction motor","authors":"S. Hule, R. Bindu, D. Vincent","doi":"10.1109/EIC.2015.7230749","DOIUrl":"https://doi.org/10.1109/EIC.2015.7230749","url":null,"abstract":"In this paper, an indirect vector control of induction motor is simulated and the speed is estimated using conventional Model Reference Adaptive System (MRAS). It is modified using neural network PI controller. A conventional mathematical model based MRAS speed estimator can give a relatively precise speed estimation result, but error will occur during low frequency operation. It is also very sensitive to machine parameter variations. Hence instead of PI controller a two-layered neural network PI controller (NNPIC) is used. With the help of projection algorithm, the parameters of the NNPIC are automatically adjusted and the difference between the two models of MRAS is minimized for speed estimation. Neural network-based MRAS estimator gave robust performance during low frequency and parameter variation. Also, this scheme reduced the work of tuning mechanism of PI controller. The estimated speed was taken as a feedback and the speed was controlled by indirect vector control using space vector pulse width modulation (SVPWM). The simulation results showed improvement in the performance of an induction motor drive.","PeriodicalId":101532,"journal":{"name":"2014 International Conference on Advances in Communication and Computing Technologies (ICACACT 2014)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122903536","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 : 2015-09-03DOI: 10.1109/EIC.2015.7230742
Pravin G. Zaware, S. Shinde
This paper presents the design and prototype implementation of new Wi-Fi technology based monitoring and controlling the field equipments or machines using Phone, Tablet Laptop or any desktop pc having Wi-Fi utility with IEEE 802.11b, g and n standards. The boot loader for microcontroller devices is used to upgrade firmware on a target device without the need for an external programmer or debugger. The proposed system is divided into two parts for better implementation; the first part is monitoring & controlling the embedded system (field equipments) or data. Second part is boot loading (Up gradation) of the field equipments using Wi-Fi. It is very easy, reliable, secure, fast and wireless solution.
{"title":"Wireless monitoring, controlling and firmware upgradation of embedded devices using Wi-Fi","authors":"Pravin G. Zaware, S. Shinde","doi":"10.1109/EIC.2015.7230742","DOIUrl":"https://doi.org/10.1109/EIC.2015.7230742","url":null,"abstract":"This paper presents the design and prototype implementation of new Wi-Fi technology based monitoring and controlling the field equipments or machines using Phone, Tablet Laptop or any desktop pc having Wi-Fi utility with IEEE 802.11b, g and n standards. The boot loader for microcontroller devices is used to upgrade firmware on a target device without the need for an external programmer or debugger. The proposed system is divided into two parts for better implementation; the first part is monitoring & controlling the embedded system (field equipments) or data. Second part is boot loading (Up gradation) of the field equipments using Wi-Fi. It is very easy, reliable, secure, fast and wireless solution.","PeriodicalId":101532,"journal":{"name":"2014 International Conference on Advances in Communication and Computing Technologies (ICACACT 2014)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123243056","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 : 2015-09-03DOI: 10.1109/EIC.2015.7230698
Zeeshan Ali, Reena Sonkusare
Electronic Commerce has become extremely popular with the rise in wireless technologies and other communication techniques. Purchasing and shopping at big malls is becoming daily activity in metro cities. There is a huge rush in such places during weekends and holidays. People purchase different items and put them in trolley. After completion of purchases, one needs to go to billing counter for payments. At the billing counter the cashier prepares the bill using bar code reader which is very time consuming process and results in long queue at the billing counter. A smart product is the one that aids the comfort, convenience and efficiency in everyday life. In this paper, we discuss an innovative concept of Intelligent Smart Shopping and Billing. The key idea here is to assist a person in everyday shopping in terms of reduced time spent while purchasing a product. The main goal is to provide a technology oriented, economical, easily scalable, and rugged system for aiding shopping in person.
{"title":"RFID based Smart Shopping: An overview","authors":"Zeeshan Ali, Reena Sonkusare","doi":"10.1109/EIC.2015.7230698","DOIUrl":"https://doi.org/10.1109/EIC.2015.7230698","url":null,"abstract":"Electronic Commerce has become extremely popular with the rise in wireless technologies and other communication techniques. Purchasing and shopping at big malls is becoming daily activity in metro cities. There is a huge rush in such places during weekends and holidays. People purchase different items and put them in trolley. After completion of purchases, one needs to go to billing counter for payments. At the billing counter the cashier prepares the bill using bar code reader which is very time consuming process and results in long queue at the billing counter. A smart product is the one that aids the comfort, convenience and efficiency in everyday life. In this paper, we discuss an innovative concept of Intelligent Smart Shopping and Billing. The key idea here is to assist a person in everyday shopping in terms of reduced time spent while purchasing a product. The main goal is to provide a technology oriented, economical, easily scalable, and rugged system for aiding shopping in person.","PeriodicalId":101532,"journal":{"name":"2014 International Conference on Advances in Communication and Computing Technologies (ICACACT 2014)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129118052","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}
This paper discusses the design and implementation of a wireless sensor node using a Programmable System on Chip (PSoC). The main aim of this paper is to highlight the use and need of a low cost system for monitoring various parameters where human presence is prohibited. The system was implemented using a PSoC 3 device and transceivers CC2500 RF wireless module.
{"title":"Implementation of a wireless sensor node using Programmable SoC and CC2500 RF module","authors":"Gaurav Singh, Siddharth More, Shivprasad Shetty, Romit Pednekar","doi":"10.1109/EIC.2015.7230701","DOIUrl":"https://doi.org/10.1109/EIC.2015.7230701","url":null,"abstract":"This paper discusses the design and implementation of a wireless sensor node using a Programmable System on Chip (PSoC). The main aim of this paper is to highlight the use and need of a low cost system for monitoring various parameters where human presence is prohibited. The system was implemented using a PSoC 3 device and transceivers CC2500 RF wireless module.","PeriodicalId":101532,"journal":{"name":"2014 International Conference on Advances in Communication and Computing Technologies (ICACACT 2014)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126899300","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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