Pub Date : 1900-01-01DOI: 10.1109/ISCO.2017.7855959
M. Durgadevi, R. Kalpana
Enormous data mining techniques were used for disease prediction among which only a few have employed feature selection. The prediction knowledge for disease diagnosis highly depends on the subjective knowledge of the experts. Developing a disease prediction model in time can help us to overcome the medical distress. In this paper, three feature selection strategies namely, HS, MS and TS are devised to obtain the valuable subset of relevant features for reducing the dimensionality of multiple attributes. This work proposed a modified ant-miner algorithm to extract the classification rules from the data. Three benchmarked datasets (Cleveland, Pima and Wisconsin) from the UCI machine learning repository were used to analyze effectiveness of the proposed model. The obtained results clearly shows that the modified ant-miner outperforms the other top data mining classification algorithms like the CN2, RBF, Adaboost and Bagging in terms of accuracy. Thus the proposed model is capable of producing good results with fewer features and serves as a suitable tool for eliciting and representing the expert's decision rules with an effective support for solving disease prediction problem.
{"title":"Medical distress prediction based on Classification Rule Discovery using ant-miner algorithm","authors":"M. Durgadevi, R. Kalpana","doi":"10.1109/ISCO.2017.7855959","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855959","url":null,"abstract":"Enormous data mining techniques were used for disease prediction among which only a few have employed feature selection. The prediction knowledge for disease diagnosis highly depends on the subjective knowledge of the experts. Developing a disease prediction model in time can help us to overcome the medical distress. In this paper, three feature selection strategies namely, HS, MS and TS are devised to obtain the valuable subset of relevant features for reducing the dimensionality of multiple attributes. This work proposed a modified ant-miner algorithm to extract the classification rules from the data. Three benchmarked datasets (Cleveland, Pima and Wisconsin) from the UCI machine learning repository were used to analyze effectiveness of the proposed model. The obtained results clearly shows that the modified ant-miner outperforms the other top data mining classification algorithms like the CN2, RBF, Adaboost and Bagging in terms of accuracy. Thus the proposed model is capable of producing good results with fewer features and serves as a suitable tool for eliciting and representing the expert's decision rules with an effective support for solving disease prediction problem.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114312024","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855988
Prajakta Balap, S. Khoje, P. Pardeshi
Iris Recognition, an evolving biometric identification technique which provides individual authentication based on unique feature or characteristic possessed by the individual. This paper provides general framework and related work in the iris recognition. Iris recognition improves the efficiency of biometric identification. This paper provides a critical review on different wavelet based feature extraction techniques proposed up till now along with efficiency comparison of each technique.
{"title":"A critical review on wavelet based feature extraction for Iris Recognition","authors":"Prajakta Balap, S. Khoje, P. Pardeshi","doi":"10.1109/ISCO.2017.7855988","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855988","url":null,"abstract":"Iris Recognition, an evolving biometric identification technique which provides individual authentication based on unique feature or characteristic possessed by the individual. This paper provides general framework and related work in the iris recognition. Iris recognition improves the efficiency of biometric identification. This paper provides a critical review on different wavelet based feature extraction techniques proposed up till now along with efficiency comparison of each technique.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114867993","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7856014
A. R, Jayashree Agarkhed, S. Patil
Virtualization is one of the important key technologies in cloud computing. Main advantages include maximum resource utilization and high flexibility. The virtualization technology offers different services to users and the vendors and has become an upcoming technology in the IT (Information Technology) industry. This article explores various network virtualization technologies using cloud computing system to a certain extent which has turned more efficient than previous technologies.
{"title":"Network virtualization system for security in cloud computing","authors":"A. R, Jayashree Agarkhed, S. Patil","doi":"10.1109/ISCO.2017.7856014","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7856014","url":null,"abstract":"Virtualization is one of the important key technologies in cloud computing. Main advantages include maximum resource utilization and high flexibility. The virtualization technology offers different services to users and the vendors and has become an upcoming technology in the IT (Information Technology) industry. This article explores various network virtualization technologies using cloud computing system to a certain extent which has turned more efficient than previous technologies.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115379581","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7856001
Aditi Jain, Kavindra Kandpal
This paper proposes a high gain, low power instrumentation amplifier (IA) for EEG signal processing. A three opamp instrumentation amplifier has been designed by using sub-threshold three-stage op-amps with PMOS input. NMOS transistors operating in the triode region have been used to replace the passive resistors of IA. This eliminates the problems of mismatch, temperature dependency and large area consumption, at the same time taking advantage of the high CMRR and DC offset cancellation properties of conventional IA. A BGR circuitry with temperature coefficient of 420 ppm/°C is used to bias the opamp. The instrumentation amplifier is simulated in Cadence Virtuoso 180nm CMOS technology by using a supply voltage of 1V. It achieves a Gain of 96.4dB, Bandwidth of 400 KHz, input-referred noise voltage of 610nV/√ Hz, CMRR in the range of 60dB and power consumption about 53.7 µW.
{"title":"Design of a high gain, Temperature Compensated Biomedical Instrumentation Amplifier for EEG Applications","authors":"Aditi Jain, Kavindra Kandpal","doi":"10.1109/ISCO.2017.7856001","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7856001","url":null,"abstract":"This paper proposes a high gain, low power instrumentation amplifier (IA) for EEG signal processing. A three opamp instrumentation amplifier has been designed by using sub-threshold three-stage op-amps with PMOS input. NMOS transistors operating in the triode region have been used to replace the passive resistors of IA. This eliminates the problems of mismatch, temperature dependency and large area consumption, at the same time taking advantage of the high CMRR and DC offset cancellation properties of conventional IA. A BGR circuitry with temperature coefficient of 420 ppm/°C is used to bias the opamp. The instrumentation amplifier is simulated in Cadence Virtuoso 180nm CMOS technology by using a supply voltage of 1V. It achieves a Gain of 96.4dB, Bandwidth of 400 KHz, input-referred noise voltage of 610nV/√ Hz, CMRR in the range of 60dB and power consumption about 53.7 µW.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115709606","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855977
Neeta Patil, Deepak Aeloor
A very efficient computing environment is provided by cloud computing where the customers or several tenants are in need of multiple resources to be provided as a service over the internet. The utilization of resources is to be scheduled efficiently so that it helps in reducing the time for task completion. This is task scheduling which is most essential and important part in cloud computing environment. In task scheduling allocation of certain tasks to particular resources at a particular time instance is done. There are different techniques that are proposed to solve the problems of task scheduling. This paper discusses about the study of various resource scheduling algorithms in a cloud computing environment.
{"title":"A review - different scheduling algorithms in cloud computing environment","authors":"Neeta Patil, Deepak Aeloor","doi":"10.1109/ISCO.2017.7855977","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855977","url":null,"abstract":"A very efficient computing environment is provided by cloud computing where the customers or several tenants are in need of multiple resources to be provided as a service over the internet. The utilization of resources is to be scheduled efficiently so that it helps in reducing the time for task completion. This is task scheduling which is most essential and important part in cloud computing environment. In task scheduling allocation of certain tasks to particular resources at a particular time instance is done. There are different techniques that are proposed to solve the problems of task scheduling. This paper discusses about the study of various resource scheduling algorithms in a cloud computing environment.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124571437","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855651
Haresh A. Suthar, Jagrut J. Gadit
Design of control system demands optimization of many variables simultaneously, which results in problem of multiobjective optimization. The control degree of freedom is defined as the number of variables that can be controlled in the system. Hence, two-degree-of-freedom (abbreviated as 2DOF) PID control system has advantages over one degree-of-freedom (abbreviated as 1DOF) PID control system. One degree-of-freedom PID controller is used where there are two distinct objectives such as set-point tracking and disturbance rejection. The main objective of 2DOF controller is to control both set point tracking and disturbance rejection simultaneously. The process of heat exchanger which is widely used in process industry having two predominant disturbances one is due to flow variation of input fluid and second is due to temperature variation of input fluid. Hence, heat exchanger is selected as test bench to verify 2DOF control algorithm both for set point tracking and disturbance rejection. Recently, many evolutionary and nature inspired algorithm based controller tuning is attracted researchers due to their advantage to optimize parameters based on cost function, without any knowledge about process. Hence, optimization of 2DOF controller using genetic algorithm, for shell and tube heat exchanger system is proposed. MATLAB is used as software tool to verify 2DOF control strategy for heat exchanger system using genetic algorithm.
{"title":"Two degree of freedom controller optimization using GA for shell and tube heat exchanger","authors":"Haresh A. Suthar, Jagrut J. Gadit","doi":"10.1109/ISCO.2017.7855651","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855651","url":null,"abstract":"Design of control system demands optimization of many variables simultaneously, which results in problem of multiobjective optimization. The control degree of freedom is defined as the number of variables that can be controlled in the system. Hence, two-degree-of-freedom (abbreviated as 2DOF) PID control system has advantages over one degree-of-freedom (abbreviated as 1DOF) PID control system. One degree-of-freedom PID controller is used where there are two distinct objectives such as set-point tracking and disturbance rejection. The main objective of 2DOF controller is to control both set point tracking and disturbance rejection simultaneously. The process of heat exchanger which is widely used in process industry having two predominant disturbances one is due to flow variation of input fluid and second is due to temperature variation of input fluid. Hence, heat exchanger is selected as test bench to verify 2DOF control algorithm both for set point tracking and disturbance rejection. Recently, many evolutionary and nature inspired algorithm based controller tuning is attracted researchers due to their advantage to optimize parameters based on cost function, without any knowledge about process. Hence, optimization of 2DOF controller using genetic algorithm, for shell and tube heat exchanger system is proposed. MATLAB is used as software tool to verify 2DOF control strategy for heat exchanger system using genetic algorithm.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121334698","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7856026
Mamata Rath, Bibudhendu Pati, B. K. Pattanayak
Transportable nodes in a healthy and demanding network set-up of Mobile Adhoc Network (MANET) are self-governing with self-configurable potential due to high occurrence of topology alteration and changeable rescheduling of the network mechanism during data communication. Due to simplicity of set up, the energetic networking system in MANET is very victorious in conditions where it is complicated to create communications system and infrastructure based network. Numerous routing protocols for MANETs accompanying real time applications have been developed, basic intention being optimal consumption of resource in resource limited situation, least power utilization using limited battery power of the highly short-lived mobile nodes and victorious real time data broadcast within their deadline. This paper presents an efficient Quality of Service architecture using inter layer communication with a highly efficient real time scheduler design at the network layer with improved RMA (Rate Monotonic Algorithm) and EDF(Earliest Deadline First) scheduling that efficiently schedules multiple real time applications without missing any of their deadline. Simulation results in NetSim ver 8 ensures healthier network performance in terms of better jitter, packet delivery ratio and network lifetime when compared with other similar Cross layer based approaches for video file transmission.
移动自组网(MANET)是一种健康的、高要求的网络结构，由于在数据通信过程中拓扑变更和网络机制重新调度的频繁发生，使得可移动节点具有自配置的潜力。由于建立简单，MANET中的能量组网系统在创建通信系统和基于基础设施的网络的复杂条件下非常成功。伴随实时应用的manet路由协议已经开发了许多，基本意图是在资源有限的情况下实现资源的最佳消耗，在高度短寿的移动节点上使用有限的电池电量实现最小的功率利用率，并在截止日期内成功地进行实时数据广播。本文提出了一种利用层间通信的高效服务质量体系结构，在网络层采用改进的RMA(速率单调算法)和EDF(最早截止日期优先)调度的高效实时调度程序设计，有效地调度多个实时应用程序，而不会错过任何一个截止日期。与其他类似的基于跨层的视频文件传输方法相比，NetSim ver 8中的模拟结果确保了更健康的网络性能，包括更好的抖动、数据包传送率和网络寿命。
{"title":"Cross layer based QoS platform for multimedia transmission in MANET","authors":"Mamata Rath, Bibudhendu Pati, B. K. Pattanayak","doi":"10.1109/ISCO.2017.7856026","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7856026","url":null,"abstract":"Transportable nodes in a healthy and demanding network set-up of Mobile Adhoc Network (MANET) are self-governing with self-configurable potential due to high occurrence of topology alteration and changeable rescheduling of the network mechanism during data communication. Due to simplicity of set up, the energetic networking system in MANET is very victorious in conditions where it is complicated to create communications system and infrastructure based network. Numerous routing protocols for MANETs accompanying real time applications have been developed, basic intention being optimal consumption of resource in resource limited situation, least power utilization using limited battery power of the highly short-lived mobile nodes and victorious real time data broadcast within their deadline. This paper presents an efficient Quality of Service architecture using inter layer communication with a highly efficient real time scheduler design at the network layer with improved RMA (Rate Monotonic Algorithm) and EDF(Earliest Deadline First) scheduling that efficiently schedules multiple real time applications without missing any of their deadline. Simulation results in NetSim ver 8 ensures healthier network performance in terms of better jitter, packet delivery ratio and network lifetime when compared with other similar Cross layer based approaches for video file transmission.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121342997","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855968
adraig Whelan, Michele Magno
The Internet of things (IOT) is remodeling the agriculture enabling the farmers with the wide range of techniques such as precision and sustainable agriculture to face challenges in the field. IOT technology helps in collecting information about conditions like weather, moisture, temperature and fertility of soil, Crop online monitoring enables detection of weed, level of water, pest detection, animal intrusion in to the field, crop growth, agriculture. IOT leverages farmers to get connected to his farm from anywhere and anytime. Wireless sensor networks are used for monitoring the farm conditions and micro controllers are used to control and automate the farm processes. To view remotely the conditions in the form of image and video, wireless cameras have been used. A smart phone empowers farmer to keep updated with the ongoing conditions of his agricultural land using IOT at any time and any part of the world. IOT technology can reduce the cost and enhance the productivity of traditional farming.
{"title":"Agricultural crop monitoring using IOT - a study","authors":"adraig Whelan, Michele Magno","doi":"10.1109/ISCO.2017.7855968","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855968","url":null,"abstract":"The Internet of things (IOT) is remodeling the agriculture enabling the farmers with the wide range of techniques such as precision and sustainable agriculture to face challenges in the field. IOT technology helps in collecting information about conditions like weather, moisture, temperature and fertility of soil, Crop online monitoring enables detection of weed, level of water, pest detection, animal intrusion in to the field, crop growth, agriculture. IOT leverages farmers to get connected to his farm from anywhere and anytime. Wireless sensor networks are used for monitoring the farm conditions and micro controllers are used to control and automate the farm processes. To view remotely the conditions in the form of image and video, wireless cameras have been used. A smart phone empowers farmer to keep updated with the ongoing conditions of his agricultural land using IOT at any time and any part of the world. IOT technology can reduce the cost and enhance the productivity of traditional farming.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127641150","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855971
S. Vijay, A. C.
This work applies one cycle control algorithm to reduce the torque ripple of brushless dc motor drives having non-ideal back emf. The main principle involved here is to ensure that the average torque follows the reference command in each switching cycle. The average torque is obtained indirectly via dc bus voltage and current, which gives the energy flowing into the system in each control cycle. The method proposed here is cost effective, since expensive sensors are not required. Back emf information is not required as there is no online or offline estimation. Accurate position of rotor is not necessary. No current sensor is required to measure the phase current. Only two sensors are used: one sensor is used to obtain the dc bus voltage and the other to obtain phase current information to calculate the input energy supplied to the motor. The feasibility of the proposed control algorithm is validated through simulation and experimental studies.
{"title":"One-cycle control of brushless DC motor","authors":"S. Vijay, A. C.","doi":"10.1109/ISCO.2017.7855971","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855971","url":null,"abstract":"This work applies one cycle control algorithm to reduce the torque ripple of brushless dc motor drives having non-ideal back emf. The main principle involved here is to ensure that the average torque follows the reference command in each switching cycle. The average torque is obtained indirectly via dc bus voltage and current, which gives the energy flowing into the system in each control cycle. The method proposed here is cost effective, since expensive sensors are not required. Back emf information is not required as there is no online or offline estimation. Accurate position of rotor is not necessary. No current sensor is required to measure the phase current. Only two sensors are used: one sensor is used to obtain the dc bus voltage and the other to obtain phase current information to calculate the input energy supplied to the motor. The feasibility of the proposed control algorithm is validated through simulation and experimental studies.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125907219","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 : 1900-01-01DOI: 10.1109/ISCO.2017.7855996
P. Dey, A. Prajapati, Jivesh Verma, T. Das
A thin-film tandem solar cell is designed from two different semiconductors in order to observe the impact of thickness of active layers on External Quantum Efficiency (EQE) by keeping the anode voltage fixed for both top and bottom cells. A nearly lattice matched ZnO-Si hetero-structure thin film device has been simulated to get the maximum EQE at a particular wave length. For the anode voltage of 5V, at a thickness of 8 nm of the active layer, we obtained a EQE of 0.936 for the top cell and for the bottom cell the optimized value of EQE is 0.819 at a thickness of 14 nm. The optimized values of EQE for both the cells were obtained at a wavelength of 460 nm and 674 nm respectively. In this regard, the impact of thickness of active layers on V-I characteristics of thin film tandem solar cell were observed.
{"title":"Computational investigation to improve the External Quantum Efficiency of thin film tandem solar cell","authors":"P. Dey, A. Prajapati, Jivesh Verma, T. Das","doi":"10.1109/ISCO.2017.7855996","DOIUrl":"https://doi.org/10.1109/ISCO.2017.7855996","url":null,"abstract":"A thin-film tandem solar cell is designed from two different semiconductors in order to observe the impact of thickness of active layers on External Quantum Efficiency (EQE) by keeping the anode voltage fixed for both top and bottom cells. A nearly lattice matched ZnO-Si hetero-structure thin film device has been simulated to get the maximum EQE at a particular wave length. For the anode voltage of 5V, at a thickness of 8 nm of the active layer, we obtained a EQE of 0.936 for the top cell and for the bottom cell the optimized value of EQE is 0.819 at a thickness of 14 nm. The optimized values of EQE for both the cells were obtained at a wavelength of 460 nm and 674 nm respectively. In this regard, the impact of thickness of active layers on V-I characteristics of thin film tandem solar cell were observed.","PeriodicalId":321113,"journal":{"name":"2017 11th International Conference on Intelligent Systems and Control (ISCO)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132960519","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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