Pub Date : 2019-07-01DOI: 10.1109/ICCES45898.2019.9002299
Akshya Reghunath, Shalini Vanaja Nair, Jalpa Shah
In the last few years, deep learning is one of the powerful technique, used for image recognition. Among the various kinds of deep neural networks, Convolutional Neural Network (CNN) nowadays has been widely used for the purpose of image recognition. In this work, we present the customized model developed for feature extraction of medical packages. Now a days, it is difficult to distinguish an original medicine from counterfeit. The proposed model based on CNN can be useful in identifying the original medicine which forms the first step in the process to identify counterfeits. The medicine images are used as dataset for feature extraction and image classification. Medicine package shape, edges and colour are used for feature extraction of customized model. Classification is done to distinguish medicines which is of same colour and differs in their name, printed text, barcode and the company logo. One of the popular pre-trained CNN architecture model VGG-19 is used for comparing the results of developed customized model. Customized model consists of only five layers convolution layer, maxpooling layer, dropout layer, flatten layer and dense layer. In comparison to pre-trained VGG-19 model customized model reduces number of layers from 19 to 5. Number of layers are reduced to 5 because increasing the number of layers were not showing much improvement in the testing results for given dataset. Training accuracy of 93.17%, validation accuracy of 88.68% and testing accuracy of 76.67% is obtained for the customized model. The results can be made more precise and accurate by optimizing the number of layers in the model. In the proposed model we have used 5 layers. The optimization of number of layers is done based on the prediction accuracy. The accuracy of less than 50% was achieved using 3 layers and it is increased up to 76% with 5 layers. No further improvement in the prediction accuracy was observed by increasing number of layers to 6 or 7, so for the proposed model 5 layers are selected.
{"title":"Deep learning based Customized Model for Features Extraction","authors":"Akshya Reghunath, Shalini Vanaja Nair, Jalpa Shah","doi":"10.1109/ICCES45898.2019.9002299","DOIUrl":"https://doi.org/10.1109/ICCES45898.2019.9002299","url":null,"abstract":"In the last few years, deep learning is one of the powerful technique, used for image recognition. Among the various kinds of deep neural networks, Convolutional Neural Network (CNN) nowadays has been widely used for the purpose of image recognition. In this work, we present the customized model developed for feature extraction of medical packages. Now a days, it is difficult to distinguish an original medicine from counterfeit. The proposed model based on CNN can be useful in identifying the original medicine which forms the first step in the process to identify counterfeits. The medicine images are used as dataset for feature extraction and image classification. Medicine package shape, edges and colour are used for feature extraction of customized model. Classification is done to distinguish medicines which is of same colour and differs in their name, printed text, barcode and the company logo. One of the popular pre-trained CNN architecture model VGG-19 is used for comparing the results of developed customized model. Customized model consists of only five layers convolution layer, maxpooling layer, dropout layer, flatten layer and dense layer. In comparison to pre-trained VGG-19 model customized model reduces number of layers from 19 to 5. Number of layers are reduced to 5 because increasing the number of layers were not showing much improvement in the testing results for given dataset. Training accuracy of 93.17%, validation accuracy of 88.68% and testing accuracy of 76.67% is obtained for the customized model. The results can be made more precise and accurate by optimizing the number of layers in the model. In the proposed model we have used 5 layers. The optimization of number of layers is done based on the prediction accuracy. The accuracy of less than 50% was achieved using 3 layers and it is increased up to 76% with 5 layers. No further improvement in the prediction accuracy was observed by increasing number of layers to 6 or 7, so for the proposed model 5 layers are selected.","PeriodicalId":348347,"journal":{"name":"2019 International Conference on Communication and Electronics Systems (ICCES)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122667176","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 : 2019-07-01DOI: 10.1109/ICCES45898.2019.9002306
V. Chaudhary, A. Bhargava, Sandeep Verma
This paper present amelioration power quality of hybrid power system integration with PV, wind and battery system by FACTS device. In transmission and distribution system power quality is major restraint. FACTS device have many merits in transmission like flexibility and high speed. Benefit of this system is the diverse sources can be connected to at one junction of power line, because of this these method are ascertaining to be an efficacious and ductile method for the development of the system. Harmonics produce when two diverse source connected to grid and it removed by using UPFC. The unified power flow control is the most promising device of fact family at which study in this paper is concentrated. In the study of this paper UPFC is modeled and interpretation of UPFC in a hybrid-grid connected system is examined. The extraordinary feature of the UPFC is such that it can control flow of real and reactive power as well as voltage amplitude at the same time at the UPFC nodes. The planned model is simulating in MATLAB/Simulink software.
{"title":"Power quality enhancement using unified power flow controller in grid connected hybrid PV/Wind system","authors":"V. Chaudhary, A. Bhargava, Sandeep Verma","doi":"10.1109/ICCES45898.2019.9002306","DOIUrl":"https://doi.org/10.1109/ICCES45898.2019.9002306","url":null,"abstract":"This paper present amelioration power quality of hybrid power system integration with PV, wind and battery system by FACTS device. In transmission and distribution system power quality is major restraint. FACTS device have many merits in transmission like flexibility and high speed. Benefit of this system is the diverse sources can be connected to at one junction of power line, because of this these method are ascertaining to be an efficacious and ductile method for the development of the system. Harmonics produce when two diverse source connected to grid and it removed by using UPFC. The unified power flow control is the most promising device of fact family at which study in this paper is concentrated. In the study of this paper UPFC is modeled and interpretation of UPFC in a hybrid-grid connected system is examined. The extraordinary feature of the UPFC is such that it can control flow of real and reactive power as well as voltage amplitude at the same time at the UPFC nodes. The planned model is simulating in MATLAB/Simulink software.","PeriodicalId":348347,"journal":{"name":"2019 International Conference on Communication and Electronics Systems (ICCES)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122999845","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 : 2019-07-01DOI: 10.1109/ICCES45898.2019.9002081
Apoorva Raghunandan, D. Shilpa
An energy harvesting system uses Pre charge circuits. The need for designing circuits that consume low power is the need of the day. In this paper a pre charge circuit has been designed in 45nm CMOS technology and the output energy and average power consumption of the circuit has been computed. The cascaded double tail comparator and the gate driver circuits are designed. The pre charge circuit is energy efficient and harvests more energy as compared to the invested energy. The capacitance value for designing the pre charge circuit has been obtained from the capacitive pressure sensor in COMSOL Multiphysics 5.3. A plot of capacitance versus pressure gives the equivalent capacitance for the applied pressure. A value of 1pF has been chosen for an applied pressure of 22.5 to 25 KPa. In the pre charge circuit, the energy consumption during charging of the capacitor was computed to be $mathbf{4.5} mumathbf{W}$ and during discharging it was computed to be $mathbf{10} mumathbf{W}$. The invested energy was $mathbf{0.281 x 10}^{-mathbf{9}}mathbf{fJ}$ and the obtained energy was $mathbf{0.781 x 10}^{-mathbf{9}}mathbf{fJ}$. The net energy gain was $mathbf{0.5 x 10}^{-mathbf{9}} mathbf{fJ}$ and the percentage gain was 177.94%.
能量收集系统使用预充电电路。设计低功耗电路是当今的需要。本文采用45nm CMOS工艺设计了一种预充电电路，并计算了该电路的输出能量和平均功耗。设计了级联双尾比较器和栅极驱动电路。与投入的能量相比，预充电电路是节能的，可以收获更多的能量。利用COMSOL Multiphysics 5.3软件中的电容式压力传感器获得了设计预充电电路所需的电容值。电容与压力的关系图给出了施加压力时的等效电容。对于22.5至25kpa的施加压力，选择1pF的值。在预充电电路中，电容器充电时的能耗计算为$mathbf{4.5} mumathbf{W}$，放电时的能耗计算为$mathbf{10} mumathbf{W}$。投入能量为$mathbf{0.281 x 10}^{-mathbf{9}}mathbf{fJ}$，获得能量为$mathbf{0.781 x 10}^{-mathbf{9}}mathbf{fJ}$。净能量增益为$mathbf{0.5 x 10}^{-mathbf{9}} mathbf{fJ}$，增益百分比为177.94%。
{"title":"Design of Electrostatic Energy Harvesting Pre charge Circuit","authors":"Apoorva Raghunandan, D. Shilpa","doi":"10.1109/ICCES45898.2019.9002081","DOIUrl":"https://doi.org/10.1109/ICCES45898.2019.9002081","url":null,"abstract":"An energy harvesting system uses Pre charge circuits. The need for designing circuits that consume low power is the need of the day. In this paper a pre charge circuit has been designed in 45nm CMOS technology and the output energy and average power consumption of the circuit has been computed. The cascaded double tail comparator and the gate driver circuits are designed. The pre charge circuit is energy efficient and harvests more energy as compared to the invested energy. The capacitance value for designing the pre charge circuit has been obtained from the capacitive pressure sensor in COMSOL Multiphysics 5.3. A plot of capacitance versus pressure gives the equivalent capacitance for the applied pressure. A value of 1pF has been chosen for an applied pressure of 22.5 to 25 KPa. In the pre charge circuit, the energy consumption during charging of the capacitor was computed to be $mathbf{4.5} mumathbf{W}$ and during discharging it was computed to be $mathbf{10} mumathbf{W}$. The invested energy was $mathbf{0.281 x 10}^{-mathbf{9}}mathbf{fJ}$ and the obtained energy was $mathbf{0.781 x 10}^{-mathbf{9}}mathbf{fJ}$. The net energy gain was $mathbf{0.5 x 10}^{-mathbf{9}} mathbf{fJ}$ and the percentage gain was 177.94%.","PeriodicalId":348347,"journal":{"name":"2019 International Conference on Communication and Electronics Systems (ICCES)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123738045","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 : 2019-07-01DOI: 10.1109/ICCES45898.2019.9002397
N. Jain, D. S. Ajnar, P. Jain
In this paper, we have proposed high speed Advanced Encryption Standard (AES) hardware architecture by using parallelism in the process. National Institute of Standards and Technology (NIST) cases are predefined inside the module will be selected by test case bits, according to test case bit selection, the key and input will be selected, and module generate corresponding output and clock cycles reduces to 44 cycles. AES Algorithm synthesized using VHDL Code and targeted into FPGA. For Synthesis and Simulation Xilinx Design Suit Version 14.7 is used. The design has been Successfully tested on ARTIX-7 FPGA.
{"title":"Optimization of Advanced Encryption Standard Algorithm (AES) on Field Programmable Gate Array (FPGA)","authors":"N. Jain, D. S. Ajnar, P. Jain","doi":"10.1109/ICCES45898.2019.9002397","DOIUrl":"https://doi.org/10.1109/ICCES45898.2019.9002397","url":null,"abstract":"In this paper, we have proposed high speed Advanced Encryption Standard (AES) hardware architecture by using parallelism in the process. National Institute of Standards and Technology (NIST) cases are predefined inside the module will be selected by test case bits, according to test case bit selection, the key and input will be selected, and module generate corresponding output and clock cycles reduces to 44 cycles. AES Algorithm synthesized using VHDL Code and targeted into FPGA. For Synthesis and Simulation Xilinx Design Suit Version 14.7 is used. The design has been Successfully tested on ARTIX-7 FPGA.","PeriodicalId":348347,"journal":{"name":"2019 International Conference on Communication and Electronics Systems (ICCES)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132662648","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 : 2019-07-01DOI: 10.1109/ICCES45898.2019.9002543
Yashvir S. Chauhan, T.N. Sasamal
Nowadays most of the data transmission is done through digital communication and hence security and efficient data transmission is always a desirable property for any data communication. At present, Advance encryption standard (AES) is most widely used cryptographic technique. This AES uses static s box for encryption and decryption which remains constant irrespective of the key. Numerous analysts have experimented and revealed that there are some weak points [1] in the static s-box as it is static and known to all. Therefore, in our proposed algorithm we modify AES such that it uses dynamic sbox which is key dependent and compare the avalanche effect of basic AES with our proposed algorithm.
{"title":"Enhancing Security of AES Using Key Dependent Dynamic Sbox","authors":"Yashvir S. Chauhan, T.N. Sasamal","doi":"10.1109/ICCES45898.2019.9002543","DOIUrl":"https://doi.org/10.1109/ICCES45898.2019.9002543","url":null,"abstract":"Nowadays most of the data transmission is done through digital communication and hence security and efficient data transmission is always a desirable property for any data communication. At present, Advance encryption standard (AES) is most widely used cryptographic technique. This AES uses static s box for encryption and decryption which remains constant irrespective of the key. Numerous analysts have experimented and revealed that there are some weak points [1] in the static s-box as it is static and known to all. Therefore, in our proposed algorithm we modify AES such that it uses dynamic sbox which is key dependent and compare the avalanche effect of basic AES with our proposed algorithm.","PeriodicalId":348347,"journal":{"name":"2019 International Conference on Communication and Electronics Systems (ICCES)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134052347","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 : 2019-07-01DOI: 10.1109/ICCES45898.2019.9002325
S. Mathew, A. Sreeshma, Theresa Anitta Jaison, V. Pradeep, S. Jabarani
Access to computer technology is of vital importance to people with disabilities. Eyes can be regarded as one of the organs that can help a paralyzed person to communicate suitably. This paper provides a novel idea to control home appliances for disabled people who cannot move anything except their eyes by controlling the computer mouse cursor through their eye movement. The proposed method here uses an eye tracking method for eye movement acquisition, further following a simple circuitry. This system is very helpful for solving the HMI problems of the disabled.
{"title":"Eye Movement Based Cursor Control and Home Automation for Disabled People","authors":"S. Mathew, A. Sreeshma, Theresa Anitta Jaison, V. Pradeep, S. Jabarani","doi":"10.1109/ICCES45898.2019.9002325","DOIUrl":"https://doi.org/10.1109/ICCES45898.2019.9002325","url":null,"abstract":"Access to computer technology is of vital importance to people with disabilities. Eyes can be regarded as one of the organs that can help a paralyzed person to communicate suitably. This paper provides a novel idea to control home appliances for disabled people who cannot move anything except their eyes by controlling the computer mouse cursor through their eye movement. The proposed method here uses an eye tracking method for eye movement acquisition, further following a simple circuitry. This system is very helpful for solving the HMI problems of the disabled.","PeriodicalId":348347,"journal":{"name":"2019 International Conference on Communication and Electronics Systems (ICCES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131278131","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 : 2019-07-01DOI: 10.1109/ICCES45898.2019.9002416
Aqsa Hashmi, C. Gupta
Network virtualization encourages the assured resource management in which particular Virtual Network is allowed to be mapped on common or shared physical infrastructure. This mechanism termed as a problem of Virtual Network Embedding(VNE). It is considered to be NP-hard, and various heuristic, meta-heuristic, and exact solutions are proposed already in the past literature. In this paper study on different categories of VNE is presented. It also discusses multiple different approaches used to solve VNE among various networking environment like wireless networks, optical networks, cloud infrastructure, etc. The paper elaborates taxonomy of VNE optimization methods, considering dynamic or static, centralized or distributed and concise or redundant scenarios. Also focusses on a discussion of crucial algorithmic aspects and possible research directions.
{"title":"A Detailed survey on Virtual Network Embedding","authors":"Aqsa Hashmi, C. Gupta","doi":"10.1109/ICCES45898.2019.9002416","DOIUrl":"https://doi.org/10.1109/ICCES45898.2019.9002416","url":null,"abstract":"Network virtualization encourages the assured resource management in which particular Virtual Network is allowed to be mapped on common or shared physical infrastructure. This mechanism termed as a problem of Virtual Network Embedding(VNE). It is considered to be NP-hard, and various heuristic, meta-heuristic, and exact solutions are proposed already in the past literature. In this paper study on different categories of VNE is presented. It also discusses multiple different approaches used to solve VNE among various networking environment like wireless networks, optical networks, cloud infrastructure, etc. The paper elaborates taxonomy of VNE optimization methods, considering dynamic or static, centralized or distributed and concise or redundant scenarios. Also focusses on a discussion of crucial algorithmic aspects and possible research directions.","PeriodicalId":348347,"journal":{"name":"2019 International Conference on Communication and Electronics Systems (ICCES)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123014927","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 : 2019-07-01DOI: 10.1109/ICCES45898.2019.9002115
B. Yelure, S. Sonavane
In today's smart revolutionary era, Intelligent Transportation System (ITS) is a buzzword that plays a vital role. Vehicular ad-hoc network (VANET) techniques help ITS for improving efficiency as well as road safety services to vehicles and drivers. The vehicle acts as a node in the special ad-hoc network. Communication in the VANET is accomplished through IEEE802.11p i.e. Dedicated Short Range Communication (DSRC) and Wireless Access Vehicular Environment (WAVE). The ways of communication in the VANET are within vehicles (V2V) and vehicle-to-road (V2R). Routing is a foremost issue in the VANET environment due to the dynamic variation of topology, the restricted movement pattern of the vehicle, unstable links and complex city environments. Implementation of the VANET environment is a difficult task in a real environment. The objective of the paper is to simulate topological routing protocols to evaluate QoS. The simulation uses ManhattanGrid mobility to reflect the realistic vehicular environment. The simulation is conducted in various test environments with the variation in the vehicular density and speed of the vehicle. The influence of both factors on the QoS parameter is evaluated with Packet Delivery Ratio, Throughput, Avg. E2ED and Normalized Routing Overhead. AODV produces better PDR, Throughput and less NRL. OLSR produces less Avg. E2ED with respect to other protocols.
{"title":"QoS Evaluation of VANET Routing Protocol","authors":"B. Yelure, S. Sonavane","doi":"10.1109/ICCES45898.2019.9002115","DOIUrl":"https://doi.org/10.1109/ICCES45898.2019.9002115","url":null,"abstract":"In today's smart revolutionary era, Intelligent Transportation System (ITS) is a buzzword that plays a vital role. Vehicular ad-hoc network (VANET) techniques help ITS for improving efficiency as well as road safety services to vehicles and drivers. The vehicle acts as a node in the special ad-hoc network. Communication in the VANET is accomplished through IEEE802.11p i.e. Dedicated Short Range Communication (DSRC) and Wireless Access Vehicular Environment (WAVE). The ways of communication in the VANET are within vehicles (V2V) and vehicle-to-road (V2R). Routing is a foremost issue in the VANET environment due to the dynamic variation of topology, the restricted movement pattern of the vehicle, unstable links and complex city environments. Implementation of the VANET environment is a difficult task in a real environment. The objective of the paper is to simulate topological routing protocols to evaluate QoS. The simulation uses ManhattanGrid mobility to reflect the realistic vehicular environment. The simulation is conducted in various test environments with the variation in the vehicular density and speed of the vehicle. The influence of both factors on the QoS parameter is evaluated with Packet Delivery Ratio, Throughput, Avg. E2ED and Normalized Routing Overhead. AODV produces better PDR, Throughput and less NRL. OLSR produces less Avg. E2ED with respect to other protocols.","PeriodicalId":348347,"journal":{"name":"2019 International Conference on Communication and Electronics Systems (ICCES)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121290855","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 : 2019-07-01DOI: 10.1109/ICCES45898.2019.9002577
M. Rashid, Md. Niaz Morshedul Haque, Tasneema Akhtar, Md. Razu Miah
The paper focuses on a Simulink based model and design of the different control mechanisms of a DC motor powered via fuel cell. At first, fuel cell is used as the prime power source of the DC motor and a differential controller is used to achieve a uniform output. Then, the differential controller is replaced with Proportional Integral (PI) controller, Proportional Integral Differential (PID) controller and Fuzzy Logic Controller (FLC) subsequently to compare and demonstrate the variations that occur in the different characteristic curves with the change in various parameters. If Photovoltaic cell is used instead of fuel cell, the output operation of the DC motor may vary. So, in addition, a comparative performance analysis of both methods of power with regards to DC motor control is also presented.
{"title":"Simulink Model of Controlling Fuel Cell Powered Direct Current Motor with Comparative Performance Analysis","authors":"M. Rashid, Md. Niaz Morshedul Haque, Tasneema Akhtar, Md. Razu Miah","doi":"10.1109/ICCES45898.2019.9002577","DOIUrl":"https://doi.org/10.1109/ICCES45898.2019.9002577","url":null,"abstract":"The paper focuses on a Simulink based model and design of the different control mechanisms of a DC motor powered via fuel cell. At first, fuel cell is used as the prime power source of the DC motor and a differential controller is used to achieve a uniform output. Then, the differential controller is replaced with Proportional Integral (PI) controller, Proportional Integral Differential (PID) controller and Fuzzy Logic Controller (FLC) subsequently to compare and demonstrate the variations that occur in the different characteristic curves with the change in various parameters. If Photovoltaic cell is used instead of fuel cell, the output operation of the DC motor may vary. So, in addition, a comparative performance analysis of both methods of power with regards to DC motor control is also presented.","PeriodicalId":348347,"journal":{"name":"2019 International Conference on Communication and Electronics Systems (ICCES)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121296203","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 : 2019-07-01DOI: 10.1109/ICCES45898.2019.9002594
N. Ashraf, Manzoor Ahmad
Machine Translation is the programmed interpretation of one natural language to another natural language. Human languages can be processed by computers via grammars/rules or via statistics/data. There are many machine translation techniques which are either Rule-based or Knowledge-based. In this paper we will discuss the Statistical Machine Translation (SMT) techniques. The Statistical Machine Translation makes use of statistics or data to find the translation of a given source text. In word primarily based SMT, the simple unit of translation is a word. As a consequence words in an input sentence are translated phrase by phrase individually and these words are than sooner or later organized in a particular way to get the target sentence. The paper discusses numerous fashions for the word based Statistical Machine translation. The paper is written with reference to Kashmiri Language, as not much work has been done in this regard.
{"title":"Maximum Likelihood Estimation using Word Based Statistical Machine Translation","authors":"N. Ashraf, Manzoor Ahmad","doi":"10.1109/ICCES45898.2019.9002594","DOIUrl":"https://doi.org/10.1109/ICCES45898.2019.9002594","url":null,"abstract":"Machine Translation is the programmed interpretation of one natural language to another natural language. Human languages can be processed by computers via grammars/rules or via statistics/data. There are many machine translation techniques which are either Rule-based or Knowledge-based. In this paper we will discuss the Statistical Machine Translation (SMT) techniques. The Statistical Machine Translation makes use of statistics or data to find the translation of a given source text. In word primarily based SMT, the simple unit of translation is a word. As a consequence words in an input sentence are translated phrase by phrase individually and these words are than sooner or later organized in a particular way to get the target sentence. The paper discusses numerous fashions for the word based Statistical Machine translation. The paper is written with reference to Kashmiri Language, as not much work has been done in this regard.","PeriodicalId":348347,"journal":{"name":"2019 International Conference on Communication and Electronics Systems (ICCES)","volume":"Suppl 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128953278","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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