Pub Date : 2020-06-01DOI: 10.1109/incet49848.2020.9154040
Saikat Gochhait, H. Leena, V. Sudheesh, V. Kumar, Vinit Singh, Harini. Srinivasan, Dheeraj Badam
Connectivity enhances a building’s responsiveness to internal changes as well as its resilience to external challenges. Today, high-performing smart buildings respond to a myriad of internal stimuli. These range from changes in lighting, temperature, ventilation, and occupancy levels to IT data requirements and the operational technology that controls elevators and security apparatus.
{"title":"Smart Lights: How it Enhances Connectivity","authors":"Saikat Gochhait, H. Leena, V. Sudheesh, V. Kumar, Vinit Singh, Harini. Srinivasan, Dheeraj Badam","doi":"10.1109/incet49848.2020.9154040","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154040","url":null,"abstract":"Connectivity enhances a building’s responsiveness to internal changes as well as its resilience to external challenges. Today, high-performing smart buildings respond to a myriad of internal stimuli. These range from changes in lighting, temperature, ventilation, and occupancy levels to IT data requirements and the operational technology that controls elevators and security apparatus.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128627761","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 : 2020-06-01DOI: 10.1109/incet49848.2020.9154104
B. Shougaijam, Salam Surjit Singh
With the increase in demand of economic, ecofriendly, and portable solar cell, Dye-Sensitized Solar Cells (DSSCs) is a promising candidate which may give the above demands. The main objective of this research work is to adopt Glancing Angle Deposition (GLAD) technique for developing novel Gold (Au) nanoparticles assisted between vertically aligned TiO2 nanowires photoanode on glass substrates for DSSCs application. The structural and morphology analysis shows the successful deposition of Au nanoparticles (Au-NPs) embedded between vertically aligned TiO2 nanowire. Further, the TEM analysis confirms that Au-NPs are embedded at the middle of the nanowires. It is interesting to observe a broad photon absorption in the UV and visible region due to combining effects of Surface Plasmon Resonance of metal NPs and scattering of light between NWs. This controllable deposition technique for metal NP embedded NWs may be suitable for designing photoanode for DSSCs applications with enhance efficiency.
{"title":"Design of Novel Photoanode based on Au-NPs embedded TiO2 Photoanode for Dye-Sensitized Solar Cells Application","authors":"B. Shougaijam, Salam Surjit Singh","doi":"10.1109/incet49848.2020.9154104","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154104","url":null,"abstract":"With the increase in demand of economic, ecofriendly, and portable solar cell, Dye-Sensitized Solar Cells (DSSCs) is a promising candidate which may give the above demands. The main objective of this research work is to adopt Glancing Angle Deposition (GLAD) technique for developing novel Gold (Au) nanoparticles assisted between vertically aligned TiO2 nanowires photoanode on glass substrates for DSSCs application. The structural and morphology analysis shows the successful deposition of Au nanoparticles (Au-NPs) embedded between vertically aligned TiO2 nanowire. Further, the TEM analysis confirms that Au-NPs are embedded at the middle of the nanowires. It is interesting to observe a broad photon absorption in the UV and visible region due to combining effects of Surface Plasmon Resonance of metal NPs and scattering of light between NWs. This controllable deposition technique for metal NP embedded NWs may be suitable for designing photoanode for DSSCs applications with enhance efficiency.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132480880","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 : 2020-06-01DOI: 10.1109/incet49848.2020.9154039
M. Ramya, S. Jadhav, S. Pawar
This paper presents the design and implementation of Particle Swarm Optimization (PSO) tuned PID controller for speed control of Permanent Magnet Brush Less DC (PMBLDC) motor using LabVIEW. PMBLDC motor is widely used in industrial applications like aeronautics, robotics, medical, food, chemical and automated industrial equipments. It is a synchronous motor with high efficiency, high torque-to-weight ratio and faster dynamic response. For effective speed control of PMBLDC motor, PID controller is tuned using Particle Swarm Optimization (PSO) algorithm due to its simplicity and fast convergence to optimum values. When compared with traditional Zeigler-Nichols method (Z-N) and evolutionary Genetic Algorithm (GA), PID controller tuned with PSO algorithm provides an improved time response performance with faster settling time, negligible peak overshoot and effective speed control. This is emphasized by considering numerical examples of various systems like non-oscillatory, oscillatory, integrating and non-minimum phase. The results obtained indicate that PSO-PID performs better than the other two methods. Hence, it is concluded that PSO-PID algorithm is ideal to control the speed of PMBLDC motor effectively with increased efficiency.
{"title":"Design and Implementation of Particle Swarm Optimization (PSO) Tuned PID Controller for Speed Control of Permanent Magnet Brush Less DC (PMBLDC) Motor","authors":"M. Ramya, S. Jadhav, S. Pawar","doi":"10.1109/incet49848.2020.9154039","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154039","url":null,"abstract":"This paper presents the design and implementation of Particle Swarm Optimization (PSO) tuned PID controller for speed control of Permanent Magnet Brush Less DC (PMBLDC) motor using LabVIEW. PMBLDC motor is widely used in industrial applications like aeronautics, robotics, medical, food, chemical and automated industrial equipments. It is a synchronous motor with high efficiency, high torque-to-weight ratio and faster dynamic response. For effective speed control of PMBLDC motor, PID controller is tuned using Particle Swarm Optimization (PSO) algorithm due to its simplicity and fast convergence to optimum values. When compared with traditional Zeigler-Nichols method (Z-N) and evolutionary Genetic Algorithm (GA), PID controller tuned with PSO algorithm provides an improved time response performance with faster settling time, negligible peak overshoot and effective speed control. This is emphasized by considering numerical examples of various systems like non-oscillatory, oscillatory, integrating and non-minimum phase. The results obtained indicate that PSO-PID performs better than the other two methods. Hence, it is concluded that PSO-PID algorithm is ideal to control the speed of PMBLDC motor effectively with increased efficiency.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130863905","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}
Industrial production is pushed on by the constantly changing market requests and global competition. To keep up with these demands and thrive in a furiously competitive market, rapid advances in current manufacturing technologies are required. Automation is the trendsetter among the technologies currently in operation. To aid in the development of production methods, the idea proposed is predictive maintenance and asset tracking. Predictive maintenance is a revolution in the way machines that are in continuous operation can be constantly monitored to detect an anomaly before it blows up into a full-fledged problem. The device is kept under constant monitoring and readings of different parameters, for example, temperature and vibrations are tabbed. Any reading that strays from the regular pattern could indicate a flaw in the device. By predicting this, downtime for maintenance can be reduced. Asset tracking is another revolutionary method to speed up efficiency in the industrial sector. Using different technologies like Wireless Sensor Networks (WSNs), the assets and their locations can be viewed using a remote device. The benefit of the same lies in the fact that often an asset whose location is unknown, wastes production time of the team by unnecessarily having to look for it. Ultimately, the idea is to implement these technologies using the modern concepts of Machine Learning, Data Visualization, Cloud Computing and the Internet of Things. This paper provides a brief introduction to the architecture of such a system followed by a detailed rundown of the above methodologies for real-time applications.
{"title":"Cloud-Based Asset Monitoring and Predictive Maintenance in an Industrial IoT System","authors":"Darian Daji, Kedar Ghule, Sarthak Gagdani, Akash Butala, Pratvina Talele, Hrishikesh Kamat","doi":"10.1109/incet49848.2020.9154148","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154148","url":null,"abstract":"Industrial production is pushed on by the constantly changing market requests and global competition. To keep up with these demands and thrive in a furiously competitive market, rapid advances in current manufacturing technologies are required. Automation is the trendsetter among the technologies currently in operation. To aid in the development of production methods, the idea proposed is predictive maintenance and asset tracking. Predictive maintenance is a revolution in the way machines that are in continuous operation can be constantly monitored to detect an anomaly before it blows up into a full-fledged problem. The device is kept under constant monitoring and readings of different parameters, for example, temperature and vibrations are tabbed. Any reading that strays from the regular pattern could indicate a flaw in the device. By predicting this, downtime for maintenance can be reduced. Asset tracking is another revolutionary method to speed up efficiency in the industrial sector. Using different technologies like Wireless Sensor Networks (WSNs), the assets and their locations can be viewed using a remote device. The benefit of the same lies in the fact that often an asset whose location is unknown, wastes production time of the team by unnecessarily having to look for it. Ultimately, the idea is to implement these technologies using the modern concepts of Machine Learning, Data Visualization, Cloud Computing and the Internet of Things. This paper provides a brief introduction to the architecture of such a system followed by a detailed rundown of the above methodologies for real-time applications.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130497454","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 : 2020-06-01DOI: 10.1109/incet49848.2020.9154181
B. Dewan, M. Yadav
This paper analyses the performance of a double-gate tunnel field-effect transistor (DGTFET) using two-dimensional device simulations. DGTFET is compared with double-gate MOSFET and it is observed that DGTFET has lower OFF state current which makes it quite useful in low-power applications. Futhermore, the device parameters such as gate oxide thickness, gate metal work function, dielectric materials and doping concentrations of DGTFET are varied and their effect on drain current and ambipolar current is analyzed. Also, it is observed that the value of subthreshold swing for DGTFET is not limited to 60 mV/decade as in case of MOSFET.
{"title":"A TCAD approach to evaluate the performance of Double Gate Tunnel FET","authors":"B. Dewan, M. Yadav","doi":"10.1109/incet49848.2020.9154181","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154181","url":null,"abstract":"This paper analyses the performance of a double-gate tunnel field-effect transistor (DGTFET) using two-dimensional device simulations. DGTFET is compared with double-gate MOSFET and it is observed that DGTFET has lower OFF state current which makes it quite useful in low-power applications. Futhermore, the device parameters such as gate oxide thickness, gate metal work function, dielectric materials and doping concentrations of DGTFET are varied and their effect on drain current and ambipolar current is analyzed. Also, it is observed that the value of subthreshold swing for DGTFET is not limited to 60 mV/decade as in case of MOSFET.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126477531","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 : 2020-06-01DOI: 10.1109/incet49848.2020.9153989
P. S, Safni Usman T, H. K
Dominant share of Indian production sector lacks knowledge in energy efficiency measures and transparency of energy flow. Work force employed in the unit are usually semiskilled. As a result, erroneous operations and minor electrical faults may advance to device failures and energy loss further leading to reduced production quality, quaintly and enhanced production cost. This paper explains the approach for the detection of electrical and operational anomalies of connected loads in the manufacturing unit under consideration via analyzing electrical parameters collected through installed energy meters at load level. The gathered data is subjected to clustering and classification algorithms for anomaly detection. Effective conclusions are drawn and economic recommendations are made from the analysis and are reported to the facility management.
{"title":"Energy Management via Anomaly Detection for Manufacturing Enterprises","authors":"P. S, Safni Usman T, H. K","doi":"10.1109/incet49848.2020.9153989","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9153989","url":null,"abstract":"Dominant share of Indian production sector lacks knowledge in energy efficiency measures and transparency of energy flow. Work force employed in the unit are usually semiskilled. As a result, erroneous operations and minor electrical faults may advance to device failures and energy loss further leading to reduced production quality, quaintly and enhanced production cost. This paper explains the approach for the detection of electrical and operational anomalies of connected loads in the manufacturing unit under consideration via analyzing electrical parameters collected through installed energy meters at load level. The gathered data is subjected to clustering and classification algorithms for anomaly detection. Effective conclusions are drawn and economic recommendations are made from the analysis and are reported to the facility management.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126064008","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 : 2020-06-01DOI: 10.1109/incet49848.2020.9153997
M.H Yogeshkumar, K. Guruswamy
A ZVS LCL Half Bridge DC-DC converter is introduced in which the components Inductor, capacitor and inductor are arranged in different location to achieve ZVS (zero voltage switching) during turn on and turn off switch. The circuit operates two times of switching frequency, little reverberating parts required to achieve ZVS. The ZVS condition because of compensation of the transformer polarizing current and reprimanding impact of inalienable channel source capacitance. This resonant converter reduces switching losses and conduction losses. The converter is designed at 24 V input, 5 V output. The circuit simulation results are presented.
{"title":"Performance Analysis and Simulation of ZVS LCL Half bridge DC-DC Converter","authors":"M.H Yogeshkumar, K. Guruswamy","doi":"10.1109/incet49848.2020.9153997","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9153997","url":null,"abstract":"A ZVS LCL Half Bridge DC-DC converter is introduced in which the components Inductor, capacitor and inductor are arranged in different location to achieve ZVS (zero voltage switching) during turn on and turn off switch. The circuit operates two times of switching frequency, little reverberating parts required to achieve ZVS. The ZVS condition because of compensation of the transformer polarizing current and reprimanding impact of inalienable channel source capacitance. This resonant converter reduces switching losses and conduction losses. The converter is designed at 24 V input, 5 V output. The circuit simulation results are presented.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115612797","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 : 2020-06-01DOI: 10.1109/incet49848.2020.9154126
P. S. Sanjan, N. Yamini, N. Gowtham
In this paper a highly non-linear load has been modelled to compare the performance of PQ-Theory and SRF-Theory based extraction techniques for Active Power Filter (APF) using Simulink. To compare the dynamic and the steady state performance of these extraction techniques, a highly inductive load is connected after a certain simulation time and the behavior of the APF to this change has been studied. The extraction techniques originally designed for three phase systems has been adapted for a single-phase system and the implementation of it has been explained. The topology of the inverter, system parameters and load parameters are kept the same throughout this study for fair performance comparison of the two extraction techniques. Also, the reactive power compensation offered by these extraction techniques and certain anomalies seen in the waveforms have also been studied.
{"title":"Performance Comparison of Single-Phase SAPF Using PQ Theory and SRF Theory","authors":"P. S. Sanjan, N. Yamini, N. Gowtham","doi":"10.1109/incet49848.2020.9154126","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154126","url":null,"abstract":"In this paper a highly non-linear load has been modelled to compare the performance of PQ-Theory and SRF-Theory based extraction techniques for Active Power Filter (APF) using Simulink. To compare the dynamic and the steady state performance of these extraction techniques, a highly inductive load is connected after a certain simulation time and the behavior of the APF to this change has been studied. The extraction techniques originally designed for three phase systems has been adapted for a single-phase system and the implementation of it has been explained. The topology of the inverter, system parameters and load parameters are kept the same throughout this study for fair performance comparison of the two extraction techniques. Also, the reactive power compensation offered by these extraction techniques and certain anomalies seen in the waveforms have also been studied.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116693280","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 : 2020-06-01DOI: 10.1109/incet49848.2020.9154159
Surbhi Rathore, Indrani Bairagi, L. B
In this research we focused to study the DC parameters of Double Gate Tunnel Field Effect Transistor (DGTFET). To overcome the major challenges faced by the conventional MOSFET, a silicon-based TFET device structure is constructed with SiO2 as gate dielectric using TCAD simulator. The Id-Vg characteristic of the device is plotted and various DC parameters are extracted. The DC parameters considered here are leakage current (Ioff), driving current (Ion) and threshold voltage (Vt). The plot of electrostatic potential and electron barrier tunneling are also depicted. The same study is carried out for high κ-dielectrics like Silicon Nitride (Si3N4) and Hafnium Dioxide (HfO2). The performance of DC parameters for various gate dielectrics is compared and studied.
{"title":"Investigation of DC Parameters of Double Gate Tunnel Field Effect Transistor (DG- TFET) for different Gate Dielectrics","authors":"Surbhi Rathore, Indrani Bairagi, L. B","doi":"10.1109/incet49848.2020.9154159","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154159","url":null,"abstract":"In this research we focused to study the DC parameters of Double Gate Tunnel Field Effect Transistor (DGTFET). To overcome the major challenges faced by the conventional MOSFET, a silicon-based TFET device structure is constructed with SiO<inf>2</inf> as gate dielectric using TCAD simulator. The I<inf>d</inf>-V<inf>g</inf> characteristic of the device is plotted and various DC parameters are extracted. The DC parameters considered here are leakage current (I<inf>off</inf>), driving current (I<inf>on</inf>) and threshold voltage (V<inf>t</inf>). The plot of electrostatic potential and electron barrier tunneling are also depicted. The same study is carried out for high κ-dielectrics like Silicon Nitride (Si<inf>3</inf>N<inf>4</inf>) and Hafnium Dioxide (HfO<inf>2</inf>). The performance of DC parameters for various gate dielectrics is compared and studied.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"9 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113932829","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 : 2020-06-01DOI: 10.1109/incet49848.2020.9154125
C. Vinitha, R.K. Sharma
A novel approximate DA architecture is proposed for adaptive FIR filter. LMS algorithm is used to update the weights of the filter. In this architecture we combined the CSD number and DA technique to improve the area and power efficiency of the filter. LUT-less DA computation is done. Instead register-based DA computation is used. Wallace tree adder is used to add the partial products which increase the speed and decrease the complexity of the filter. The proposed structure is coded in VHDL and simulated, synthesized and implemented in Virtex FPGA device. The device utilization report of the structure proves that the area and power efficiency is improved than the previous designs.
{"title":"Area and Energy-efficient Approximate Distributive Arithmetic architecture for LMS Adaptive FIR Filter","authors":"C. Vinitha, R.K. Sharma","doi":"10.1109/incet49848.2020.9154125","DOIUrl":"https://doi.org/10.1109/incet49848.2020.9154125","url":null,"abstract":"A novel approximate DA architecture is proposed for adaptive FIR filter. LMS algorithm is used to update the weights of the filter. In this architecture we combined the CSD number and DA technique to improve the area and power efficiency of the filter. LUT-less DA computation is done. Instead register-based DA computation is used. Wallace tree adder is used to add the partial products which increase the speed and decrease the complexity of the filter. The proposed structure is coded in VHDL and simulated, synthesized and implemented in Virtex FPGA device. The device utilization report of the structure proves that the area and power efficiency is improved than the previous designs.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121843692","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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