Pub Date : 2017-07-01DOI: 10.1109/ICCCNT.2017.8204121
Unnati P. Prajapati, P. Bhavsar
In power system, often lead to operating limits because increased transaction on system, so system no longer remains in the secure operating region. For the system security enhancement, the FACTs controllers play an important role. So, it is necessary to find the optimal location of these controllers because of their high capital investment. A sensitivity based approach has been used to decide optimal location of FACTs devices. In this paper the optimal location of FACTs device for base case of 5-bus system using sensitivity approach has been found. In contingency ranking active power performance index is found for every contingency and to select most server line which have highest PIp value. At last optimal location of FACTs devices using sensitivity approach has been obtained for each outage line which has highest PIp value and by simulation results analysis verified that overloading reduces for each line after placing FACTs devices, so power system security can be enhanced.
{"title":"Improvement of power system security by optimal location of FACTs devices using sensitivity approach","authors":"Unnati P. Prajapati, P. Bhavsar","doi":"10.1109/ICCCNT.2017.8204121","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204121","url":null,"abstract":"In power system, often lead to operating limits because increased transaction on system, so system no longer remains in the secure operating region. For the system security enhancement, the FACTs controllers play an important role. So, it is necessary to find the optimal location of these controllers because of their high capital investment. A sensitivity based approach has been used to decide optimal location of FACTs devices. In this paper the optimal location of FACTs device for base case of 5-bus system using sensitivity approach has been found. In contingency ranking active power performance index is found for every contingency and to select most server line which have highest PIp value. At last optimal location of FACTs devices using sensitivity approach has been obtained for each outage line which has highest PIp value and by simulation results analysis verified that overloading reduces for each line after placing FACTs devices, so power system security can be enhanced.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"38 12 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78360841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-07-01DOI: 10.1109/ICCCNT.2017.8203948
Priyanka Das, A. Das
Genetic algorithm is a computational technique that helps to find the optimal solution in the process of natural selection and crossover involving the basic steps for every evolutionary algorithms. The present work accentuates on an application of a genetic algorithm named strength pareto evolutionary algorithm (SPEA) for selection of features from crime datasets. The proposed work extracts crime reports from online newspapers providing crime information against women in Indian states and in its union territories. Each of the crime reports are encoded as bag-of-words and an exhaustive list of words have been prepared. Then the strength pareto evolutionary algorithm is used as a multi-objective optimization technique that provides a non dominated pareto front leading to selection of optimal features related to crime. The selected features also helps in further crime pattern analysis. This algorithm has two objective functions based on external clusters validation index and number of features in a sample. Significant research works related to optimization techniques exist in the past, but none have done global optimization on crime datasets. The proposed method gives better result than many other feature selection methods available.
{"title":"An application of strength pareto evolutionary algorithm for feature selection from crime data","authors":"Priyanka Das, A. Das","doi":"10.1109/ICCCNT.2017.8203948","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8203948","url":null,"abstract":"Genetic algorithm is a computational technique that helps to find the optimal solution in the process of natural selection and crossover involving the basic steps for every evolutionary algorithms. The present work accentuates on an application of a genetic algorithm named strength pareto evolutionary algorithm (SPEA) for selection of features from crime datasets. The proposed work extracts crime reports from online newspapers providing crime information against women in Indian states and in its union territories. Each of the crime reports are encoded as bag-of-words and an exhaustive list of words have been prepared. Then the strength pareto evolutionary algorithm is used as a multi-objective optimization technique that provides a non dominated pareto front leading to selection of optimal features related to crime. The selected features also helps in further crime pattern analysis. This algorithm has two objective functions based on external clusters validation index and number of features in a sample. Significant research works related to optimization techniques exist in the past, but none have done global optimization on crime datasets. The proposed method gives better result than many other feature selection methods available.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75034042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-07-01DOI: 10.1109/ICCCNT.2017.8204128
Madhulesh Yadav, N. Sharma, Ashok Kumar
A compact offset coplanar waveguide (CPW)-fed dual polarized stubs loaded L-shaped branch monopole antenna for quad-band operation is presented. A resonant mode at 2.48 GHz is generated by adding an inverted L-shaped branch in the offset CPW-fed monopole and other three resonant modes at 3.41/4.96/7.45 GHz are generated by integrating asymmetrical long/middle/asymmetrical inverted short L-shaped stubs at different locations vertically on inverted L-shaped branch monopole, respectively. The proposed antenna provides impedance bandwidths (IBWs) of 140 MHz (2.40–2.54 GHz), 460 MHz (3.22–3.68 GHz), 170 MHz (4.89–5.06 GHz), and 840 MHz (7.09–7.93 GHz), for 2.4 GHz Bluetooth/WLAN, 3.5 GHz WiMAX, 4.9 GHz public safety WLAN, and downlink of X-band satellite applications, respectively. It also exhibits circular polarization (CP) in the X–band and having axial ratio bandwidth (ARBW) of 300 MHz (7.25–7.55 GHz). It is designed on FR-4 substrate and occupies a compact size of 14.5 mm × 26.5 mm. It is also analysed that the individual band can be tuned independently by varying their respective dimensions of stubs.
{"title":"A compact offset CPW-fed dual polarized stubs loaded monopole antenna for quad-band operation","authors":"Madhulesh Yadav, N. Sharma, Ashok Kumar","doi":"10.1109/ICCCNT.2017.8204128","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204128","url":null,"abstract":"A compact offset coplanar waveguide (CPW)-fed dual polarized stubs loaded L-shaped branch monopole antenna for quad-band operation is presented. A resonant mode at 2.48 GHz is generated by adding an inverted L-shaped branch in the offset CPW-fed monopole and other three resonant modes at 3.41/4.96/7.45 GHz are generated by integrating asymmetrical long/middle/asymmetrical inverted short L-shaped stubs at different locations vertically on inverted L-shaped branch monopole, respectively. The proposed antenna provides impedance bandwidths (IBWs) of 140 MHz (2.40–2.54 GHz), 460 MHz (3.22–3.68 GHz), 170 MHz (4.89–5.06 GHz), and 840 MHz (7.09–7.93 GHz), for 2.4 GHz Bluetooth/WLAN, 3.5 GHz WiMAX, 4.9 GHz public safety WLAN, and downlink of X-band satellite applications, respectively. It also exhibits circular polarization (CP) in the X–band and having axial ratio bandwidth (ARBW) of 300 MHz (7.25–7.55 GHz). It is designed on FR-4 substrate and occupies a compact size of 14.5 mm × 26.5 mm. It is also analysed that the individual band can be tuned independently by varying their respective dimensions of stubs.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"63 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75087722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-07-01DOI: 10.1109/ICCCNT.2017.8204103
Dheeraj Kalra, Divesh Kumar, Abhay Chaturvedi
This paper presents the CMOS Down-Conversion Mixer for UWB systems., The circuit is simulated under 0.18μm TSMC CMOS technology. Common mode feedback is used in the circuit and buffer stage is used to provide th impedance matching. The Passive RLC matcing is used at the input ports. The simulation result shows the conversion gain 15.484dB with noise figure of 15.894dB and IIP3 value of 10.009dBm. The Power consumption the MOSFETs used in the circuit is 40mW.
{"title":"Improved 0.18μm CMOS down-conversion mixer for UWB systems","authors":"Dheeraj Kalra, Divesh Kumar, Abhay Chaturvedi","doi":"10.1109/ICCCNT.2017.8204103","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204103","url":null,"abstract":"This paper presents the CMOS Down-Conversion Mixer for UWB systems., The circuit is simulated under 0.18μm TSMC CMOS technology. Common mode feedback is used in the circuit and buffer stage is used to provide th impedance matching. The Passive RLC matcing is used at the input ports. The simulation result shows the conversion gain 15.484dB with noise figure of 15.894dB and IIP3 value of 10.009dBm. The Power consumption the MOSFETs used in the circuit is 40mW.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"94 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74304628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-07-01DOI: 10.1109/ICCCNT.2017.8203938
Poonam Sharma, Akansha Singh
Deep learning has achieved remarkable success in various machine learning and computer vision applications. The learning allows multiple processing layers to learn features by themselves opposite to conventional machine learning approaches which were not able to process the data in their natural form. Deep convolution networks have shown great performance in processing images and videos, whereas recurrent nets have shown great success for sequential data. This paper reviews all the aspects and researches done till now in this area along with their future possibilities.
{"title":"Era of deep neural networks: A review","authors":"Poonam Sharma, Akansha Singh","doi":"10.1109/ICCCNT.2017.8203938","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8203938","url":null,"abstract":"Deep learning has achieved remarkable success in various machine learning and computer vision applications. The learning allows multiple processing layers to learn features by themselves opposite to conventional machine learning approaches which were not able to process the data in their natural form. Deep convolution networks have shown great performance in processing images and videos, whereas recurrent nets have shown great success for sequential data. This paper reviews all the aspects and researches done till now in this area along with their future possibilities.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"47 2","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72623387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-07-01DOI: 10.1109/ICCCNT.2017.8203999
Mala Kalra, Sarbjeet Singh
Cloud Computing has evolved as the one of the most promising approach to execute large scale workflow applications. For successful implementation of any workflow application in cloud computing environment, one of the most significant tasks is to generate an efficient schedule before its execution. The main goal of workflow scheduling is to assign tasks to available resources in a finite time with the satisfaction of users' specified QoS constraints. As workflow scheduling is an NP complete problem, most of the previous work is based on metaheuristic techniques to achieve near optimal solutions within polynomial time. In this paper, we are presenting an application of Intelligent Water drops (IWD) algorithm, a novel metaheuristic technique, to solve workflow scheduling problem focusing on minimization of makespan. The probability function of IWD algorithm is modified to improve quality of solution and enhance convergence speed. Experimental results show that our proposed algorithm achieves better results in comparison to other existing algorithms.
{"title":"Application of intelligent water drops algorithm to workflow scheduling in cloud environment","authors":"Mala Kalra, Sarbjeet Singh","doi":"10.1109/ICCCNT.2017.8203999","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8203999","url":null,"abstract":"Cloud Computing has evolved as the one of the most promising approach to execute large scale workflow applications. For successful implementation of any workflow application in cloud computing environment, one of the most significant tasks is to generate an efficient schedule before its execution. The main goal of workflow scheduling is to assign tasks to available resources in a finite time with the satisfaction of users' specified QoS constraints. As workflow scheduling is an NP complete problem, most of the previous work is based on metaheuristic techniques to achieve near optimal solutions within polynomial time. In this paper, we are presenting an application of Intelligent Water drops (IWD) algorithm, a novel metaheuristic technique, to solve workflow scheduling problem focusing on minimization of makespan. The probability function of IWD algorithm is modified to improve quality of solution and enhance convergence speed. Experimental results show that our proposed algorithm achieves better results in comparison to other existing algorithms.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"45 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79343645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-07-01DOI: 10.1109/ICCCNT.2017.8204190
Karush Suri, Mohit Mohta, Asmita Rajawat
Wireless Power Transmission has seen a significant amount of growth in the previous decade. One of the significant application scenarios is the powering of multicopter flying devices. The main reason behind this utility is the ability of the modern circuits to transmit power content at high frequencies. In the proposed design a Dual-Band Rectifier has been developed for 2.1 GHz and 2.45 GHz frequencies. The circuit uses Schottky Diode HSMS-285C as the rectification diode. The rectifier circuit used here is a Greinacher Voltage Doubler. Impedance Matching of the rectifier has been carried out to improve its performance. Results consisting of the output voltages and conversion efficiencies have been plotted for both the frequencies from 0 to 10 dBm of input power. At 2.1 GHz, maximum conversion efficiency of 67.263 % is obtained whereas for 2.45 GHz, maximum value of 51.471 % is observed. All Simulations have been carried out on the Advanced Design System (ADS) Software and final circuit has been fabricated on Proteus Design Suite. The purpose of this design is to fulfill drone powering requirements with enhanced efficiencies and commercial viability in comparison to the contemporary circuits. It can be used in the form of a rectenna circuit in order to provide an efficient multiplying system for drone simulation and improve the device's performance.
{"title":"Design of a dual band rectifier circuit for drone powering applications","authors":"Karush Suri, Mohit Mohta, Asmita Rajawat","doi":"10.1109/ICCCNT.2017.8204190","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204190","url":null,"abstract":"Wireless Power Transmission has seen a significant amount of growth in the previous decade. One of the significant application scenarios is the powering of multicopter flying devices. The main reason behind this utility is the ability of the modern circuits to transmit power content at high frequencies. In the proposed design a Dual-Band Rectifier has been developed for 2.1 GHz and 2.45 GHz frequencies. The circuit uses Schottky Diode HSMS-285C as the rectification diode. The rectifier circuit used here is a Greinacher Voltage Doubler. Impedance Matching of the rectifier has been carried out to improve its performance. Results consisting of the output voltages and conversion efficiencies have been plotted for both the frequencies from 0 to 10 dBm of input power. At 2.1 GHz, maximum conversion efficiency of 67.263 % is obtained whereas for 2.45 GHz, maximum value of 51.471 % is observed. All Simulations have been carried out on the Advanced Design System (ADS) Software and final circuit has been fabricated on Proteus Design Suite. The purpose of this design is to fulfill drone powering requirements with enhanced efficiencies and commercial viability in comparison to the contemporary circuits. It can be used in the form of a rectenna circuit in order to provide an efficient multiplying system for drone simulation and improve the device's performance.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"6 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84329180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-07-01DOI: 10.1109/ICCCNT.2017.8204148
F. H. Chowdhury, Rashik Nahian, Taki Uddin, Sifat Rezwan, Monirujjaman Khan, A. Sufian, Nazmul Hassan, Jawad Ishaque, S. Akash, Nazia Nawar Hassan
This paper introduces a mobile, web and swarm robotics based solution system that is useful for taking necessary actions to solve problems like rapid changes in climate, sustainable human settlement planning, and sudden climate related hazards. This system is consist of robotics mobile application and web. The system will create a distributed sensor nodes using low cost wireless sensors. As a result system will develop connected network for smart sensing. Swarm robots will be used to communicate with each other and do the mapping of an area, sub bots will send signal to mother bot and after completing the task they will return to mother bot. anyone can see the real time data of mapping in web portal. To protect against natural disaster system will help to detect flood before it hit's an area. After practical studies and simulating data the efficiency of the system is established. The end result shows the feasibility, reliability, galactic impact of the system. This paper shows more possible research scope in natural disaster monitoring.
{"title":"Design, control & performance analysis of forecast junction IoT and swarm robotics based system for natural disaster monitoring","authors":"F. H. Chowdhury, Rashik Nahian, Taki Uddin, Sifat Rezwan, Monirujjaman Khan, A. Sufian, Nazmul Hassan, Jawad Ishaque, S. Akash, Nazia Nawar Hassan","doi":"10.1109/ICCCNT.2017.8204148","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204148","url":null,"abstract":"This paper introduces a mobile, web and swarm robotics based solution system that is useful for taking necessary actions to solve problems like rapid changes in climate, sustainable human settlement planning, and sudden climate related hazards. This system is consist of robotics mobile application and web. The system will create a distributed sensor nodes using low cost wireless sensors. As a result system will develop connected network for smart sensing. Swarm robots will be used to communicate with each other and do the mapping of an area, sub bots will send signal to mother bot and after completing the task they will return to mother bot. anyone can see the real time data of mapping in web portal. To protect against natural disaster system will help to detect flood before it hit's an area. After practical studies and simulating data the efficiency of the system is established. The end result shows the feasibility, reliability, galactic impact of the system. This paper shows more possible research scope in natural disaster monitoring.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"26 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81402467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-07-01DOI: 10.1109/ICCCNT.2017.8204001
Gagandeep Kaur, Er. Harpreet Kaur
Road Accident is a specific instance of traumatic events that constitute major loss. Data mining tools and techniques are used to predict the likelihood of accident and accident prone locations. This paper sheds light on predicting the probability of accidents on roads with special emphasis on STATE HIGHWAYS (SHs) and ORDINARY DISTRICT ROADS (ODRs) by estimating the severity of accidents based on the type of accident, type of spot using the R tool. Pointing out the traffic collision data of roads the frequency of traffic collision of roads is analyzed using correlation analysis and exploratory visualization techniques. Finally, methodology has been proposed to analyze road traffic accidents. Using this methodology, improvement can be promised at the level and extent of road traffic safety management effectively and efficiently. The present study modeled accident and incident data gathered from the traffic data and data related to construction sectors.
{"title":"Prediction of the cause of accident and accident prone location on roads using data mining techniques","authors":"Gagandeep Kaur, Er. Harpreet Kaur","doi":"10.1109/ICCCNT.2017.8204001","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204001","url":null,"abstract":"Road Accident is a specific instance of traumatic events that constitute major loss. Data mining tools and techniques are used to predict the likelihood of accident and accident prone locations. This paper sheds light on predicting the probability of accidents on roads with special emphasis on STATE HIGHWAYS (SHs) and ORDINARY DISTRICT ROADS (ODRs) by estimating the severity of accidents based on the type of accident, type of spot using the R tool. Pointing out the traffic collision data of roads the frequency of traffic collision of roads is analyzed using correlation analysis and exploratory visualization techniques. Finally, methodology has been proposed to analyze road traffic accidents. Using this methodology, improvement can be promised at the level and extent of road traffic safety management effectively and efficiently. The present study modeled accident and incident data gathered from the traffic data and data related to construction sectors.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"7 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90832318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-07-01DOI: 10.1109/ICCCNT.2017.8203980
Amanpreet Kaur, D. Bansal, Savina Singla
Monitoring the quality of air has become crucial because of perpetually expanding contamination levels of air pollution. It not just helps in deciding the quality of air, but additionally cautions people about how vulnerable they are to airborne pollutants. Clean air is necessary for the survival of human beings. This paper presents the effects of airborne pollutants on human health and models which can be used to estimate them. The unsafe impacts of breathing in airborne toxins are discussed which brings about the need of an Air Quality Monitoring System(AQMS). This paper also presents an architecture and implementation of real-time AQMS with the help of sensor networks. With sensing, actuation, communication and control have become more sophisticated and ubiquitous, the methods for Air Quality Monitoring can be envisioned in a completely different manner leading to more open research problems.
{"title":"A review on estimating the effects of inhaling airborne pollutants and air quality monitoring","authors":"Amanpreet Kaur, D. Bansal, Savina Singla","doi":"10.1109/ICCCNT.2017.8203980","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8203980","url":null,"abstract":"Monitoring the quality of air has become crucial because of perpetually expanding contamination levels of air pollution. It not just helps in deciding the quality of air, but additionally cautions people about how vulnerable they are to airborne pollutants. Clean air is necessary for the survival of human beings. This paper presents the effects of airborne pollutants on human health and models which can be used to estimate them. The unsafe impacts of breathing in airborne toxins are discussed which brings about the need of an Air Quality Monitoring System(AQMS). This paper also presents an architecture and implementation of real-time AQMS with the help of sensor networks. With sensing, actuation, communication and control have become more sophisticated and ubiquitous, the methods for Air Quality Monitoring can be envisioned in a completely different manner leading to more open research problems.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"84 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89593707","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：