Pub Date : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9230938
Kasi Bandla, A. Krishnan, Sourabh Sethi, D. Pal
Dynamic comparators find application in data converters, sense amplifiers, RFID and data-receivers. Here a new design is proposed that appends an SR latch, achieving a very high speed at low offset voltage with low kickback noise. The comparator has 3-stages, 2 of which are at the differential sensing stage while the 3rd is formed by the SR latch at the output stage. The proposed design is done on UMC 180 nm standard CMOS platform. The clock frequency is set at 100 MHz and the supply at 1.8V. Simulation is carried out using CADENCE Virtuoso EDA tool. The design is validated and benchmarked against other reported candidates where it proves to be the design of choice when operated at low power as an environ-friendly option, supporting humanitarian cause.
{"title":"Design of High Speed and Low Offset SR Latch Based Dynamic Comparator","authors":"Kasi Bandla, A. Krishnan, Sourabh Sethi, D. Pal","doi":"10.1109/TENSYMP50017.2020.9230938","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9230938","url":null,"abstract":"Dynamic comparators find application in data converters, sense amplifiers, RFID and data-receivers. Here a new design is proposed that appends an SR latch, achieving a very high speed at low offset voltage with low kickback noise. The comparator has 3-stages, 2 of which are at the differential sensing stage while the 3rd is formed by the SR latch at the output stage. The proposed design is done on UMC 180 nm standard CMOS platform. The clock frequency is set at 100 MHz and the supply at 1.8V. Simulation is carried out using CADENCE Virtuoso EDA tool. The design is validated and benchmarked against other reported candidates where it proves to be the design of choice when operated at low power as an environ-friendly option, supporting humanitarian cause.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"68 1","pages":"52-55"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84909101","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 : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9230800
Mohd. Rezaul Hasan, Md. Abu Sayeed, K. Hussain
Tin Oxide (SnO2) thin film with thickness of 300 nm is fabricated on glass substrate (2 cm × 2 cm) utilizing vacuum evaporation by fixing vacuum pressure of 2.4 × 10−6 torr and deposition rate of 0.5 Å/sec. Substrate temperature is fixed at 300°C and annealed for 15 minutes at 350°C. Aluminum (Al) and Copper (Cu) doping are performed by stacked layer method and further characterized by X-ray diffractometer (XRD) and UV-VIS-NIR spectrophotometer. XRD patterns revealed of Al and Cu doped SnO2 thin film proved it as a polycrystalline with cubic phase and variable miller indices at peak XRD intensity. Optical properties like transmittance, dielectric constant, reflectance, energy bandgap and refractive index are also calculated and found something promising. Transmittance in near-infrared region for undoped film is approximately 70% and for both Al and Cu doped films it is below 35%. Reflectance gets higher as the percentage of Al and Cu doping increase; energy bandgap falls from 3.72 eV to 3.42 eV and both refractive index and dielectric constant get higher as the percentage of Al and Cu doping enhances.
{"title":"Effect of Aluminium (Al) and Copper (Cu) Doping on Characteristics of Tin Oxide (SnO2) Thin Film","authors":"Mohd. Rezaul Hasan, Md. Abu Sayeed, K. Hussain","doi":"10.1109/TENSYMP50017.2020.9230800","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9230800","url":null,"abstract":"Tin Oxide (SnO2) thin film with thickness of 300 nm is fabricated on glass substrate (2 cm × 2 cm) utilizing vacuum evaporation by fixing vacuum pressure of 2.4 × 10−6 torr and deposition rate of 0.5 Å/sec. Substrate temperature is fixed at 300°C and annealed for 15 minutes at 350°C. Aluminum (Al) and Copper (Cu) doping are performed by stacked layer method and further characterized by X-ray diffractometer (XRD) and UV-VIS-NIR spectrophotometer. XRD patterns revealed of Al and Cu doped SnO2 thin film proved it as a polycrystalline with cubic phase and variable miller indices at peak XRD intensity. Optical properties like transmittance, dielectric constant, reflectance, energy bandgap and refractive index are also calculated and found something promising. Transmittance in near-infrared region for undoped film is approximately 70% and for both Al and Cu doped films it is below 35%. Reflectance gets higher as the percentage of Al and Cu doping increase; energy bandgap falls from 3.72 eV to 3.42 eV and both refractive index and dielectric constant get higher as the percentage of Al and Cu doping enhances.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"24 1","pages":"1172-1175"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85405370","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 : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9230650
Kamruzzaman Rakib, Shah Salimullah, Md. Shakhawath Hossain, Muntasir Chowdhury, Johayer Safwan Ahmed
Sustainable renewable energies are now increasing abruptly and received considerable attention worldwide. Sun and wind power are the two most common form of renewable energy resources. Solar irradiance and wind speed are fluctuating unconditionally, which creates a major challenge in grid integration. In this paper, grid integrated battery energy storage station-based hybrid photovoltaic and wind power generating hybrid power plant has been designed to examine the behavior of the system stability and the impacts on the system for different fault conditions. It contains PV, BESS, WT, DFIG, MPPT, PID, converters and controllers. Maximum peak power technique incremental conductance algorithm is used to extract the maximum power output from photovoltaic cells. BESS is used to produced constant output power from PV array at fluctuating irradiance. PID controller is used to wield duty cycles for battery charge and discharge controller. Wind turbine with doubly-fed induction generator (DFIG) is used. The simulation studies are carried out with MATLAB/Simulink. This paper shows a smooth and stable execution of BESS based hybrid PV-WT power system under different operating conditions and obtained nearly constant output power. PV and WT affected the transient stability of the system for a very short period.
{"title":"Stability Analysis of Grid Integrated BESS Based Hybrid Photovoltaic (PV) and Wind Power Generation","authors":"Kamruzzaman Rakib, Shah Salimullah, Md. Shakhawath Hossain, Muntasir Chowdhury, Johayer Safwan Ahmed","doi":"10.1109/TENSYMP50017.2020.9230650","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9230650","url":null,"abstract":"Sustainable renewable energies are now increasing abruptly and received considerable attention worldwide. Sun and wind power are the two most common form of renewable energy resources. Solar irradiance and wind speed are fluctuating unconditionally, which creates a major challenge in grid integration. In this paper, grid integrated battery energy storage station-based hybrid photovoltaic and wind power generating hybrid power plant has been designed to examine the behavior of the system stability and the impacts on the system for different fault conditions. It contains PV, BESS, WT, DFIG, MPPT, PID, converters and controllers. Maximum peak power technique incremental conductance algorithm is used to extract the maximum power output from photovoltaic cells. BESS is used to produced constant output power from PV array at fluctuating irradiance. PID controller is used to wield duty cycles for battery charge and discharge controller. Wind turbine with doubly-fed induction generator (DFIG) is used. The simulation studies are carried out with MATLAB/Simulink. This paper shows a smooth and stable execution of BESS based hybrid PV-WT power system under different operating conditions and obtained nearly constant output power. PV and WT affected the transient stability of the system for a very short period.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"37 1","pages":"1717-1720"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81943078","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 : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9230798
A. Gupta, Hisham-Al-Rashid, Md. Zahidul Anam, Mohaimenul Islam
This paper reports a study on fault analysis on high voltage transmission line between Barapukuria and Bibiyana in Bangladesh. Power Systems Computer Aided Design (PSCAD) simulation tool is used to study both 400 kV single circuit and 400–230 kV double circuit transmission line. The objective of this study is to perform the single and three phase fault analysis in Bogura point and observe the situation of different bus during fault conditions. Result shows that for single circuit line the magnitude of three phase fault current is 16% higher than that of the single phase fault current. The double circuit line shows almost same magnitude of fault current for both of single and three phase fault in Bogura.
{"title":"Fault Analysis of High Voltage Transmission Line in Bangladesh: Barapukuria to Bibiyana","authors":"A. Gupta, Hisham-Al-Rashid, Md. Zahidul Anam, Mohaimenul Islam","doi":"10.1109/TENSYMP50017.2020.9230798","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9230798","url":null,"abstract":"This paper reports a study on fault analysis on high voltage transmission line between Barapukuria and Bibiyana in Bangladesh. Power Systems Computer Aided Design (PSCAD) simulation tool is used to study both 400 kV single circuit and 400–230 kV double circuit transmission line. The objective of this study is to perform the single and three phase fault analysis in Bogura point and observe the situation of different bus during fault conditions. Result shows that for single circuit line the magnitude of three phase fault current is 16% higher than that of the single phase fault current. The double circuit line shows almost same magnitude of fault current for both of single and three phase fault in Bogura.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"32 1","pages":"1094-1097"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81963793","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 : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9230618
Mohd. Farhan Israk Soumik, Md. Ali Hossain
Brain tumor classification is one of the most important aspects in the fields of medical image analysis. As tumors are regarded as precursor to cancers, efficient brain tumor classification can prove life saving. For this reason, Convolutional Neural Network(CNN) based approaches are widely being used for classifying brain tumors. However there lies a dilemma, CNNs are accustomed to large amount of training data for giving better result. It is where transfer learning comes useful. In this paper, we propose 3-class deep learning model for classifying Glioma, Meningioma and Pituitary tumors which are regarded as three prominent types of brain tumor. Our proposed model by adopting the concept of transfer learning uses a pre-trained InceptionV3model extracts features from the brain MRI images and deploys softmax classifier for classification. The proposed system is tested on CE-MRI dataset from figshare and achieves an average classification accuracy of 99%, outperforming all previous methods. Few other performance measures such as precision, recall, F-score are also considered while assessing the performance.
{"title":"Brain Tumor Classification With Inception Network Based Deep Learning Model Using Transfer Learning","authors":"Mohd. Farhan Israk Soumik, Md. Ali Hossain","doi":"10.1109/TENSYMP50017.2020.9230618","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9230618","url":null,"abstract":"Brain tumor classification is one of the most important aspects in the fields of medical image analysis. As tumors are regarded as precursor to cancers, efficient brain tumor classification can prove life saving. For this reason, Convolutional Neural Network(CNN) based approaches are widely being used for classifying brain tumors. However there lies a dilemma, CNNs are accustomed to large amount of training data for giving better result. It is where transfer learning comes useful. In this paper, we propose 3-class deep learning model for classifying Glioma, Meningioma and Pituitary tumors which are regarded as three prominent types of brain tumor. Our proposed model by adopting the concept of transfer learning uses a pre-trained InceptionV3model extracts features from the brain MRI images and deploys softmax classifier for classification. The proposed system is tested on CE-MRI dataset from figshare and achieves an average classification accuracy of 99%, outperforming all previous methods. Few other performance measures such as precision, recall, F-score are also considered while assessing the performance.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"135 1","pages":"1018-1021"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79505388","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 : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9230889
Priyanka Saha, S. Sarkar
This paper explicates the essence of workfunction engineering scheme incorporated in Broken Gate (BG) Tunnel Field Effect Transistor (TFET) to alleviate the inherent problem of low ON current and ambipolar conduction of conventional TFET. Analytical modeling applying two dimensional Poisson's equation is presented here to derive the potential distribution and electric field profile of dual material BG TFET followed by drain current extraction based on Kane's model. Performance comparison of the proposed structure with its single material counterpart is made to validate the competency of workfunction engineered gate in overall improvement of device characteristics. The model based theoretical analysis is further substantiated by relevant ATLAS device simulated data, thereby establishing the accuracy of the derived model.
{"title":"Workfunction engineering based Broken Gate TFET: modeling and simulation based theoretical analysis","authors":"Priyanka Saha, S. Sarkar","doi":"10.1109/TENSYMP50017.2020.9230889","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9230889","url":null,"abstract":"This paper explicates the essence of workfunction engineering scheme incorporated in Broken Gate (BG) Tunnel Field Effect Transistor (TFET) to alleviate the inherent problem of low ON current and ambipolar conduction of conventional TFET. Analytical modeling applying two dimensional Poisson's equation is presented here to derive the potential distribution and electric field profile of dual material BG TFET followed by drain current extraction based on Kane's model. Performance comparison of the proposed structure with its single material counterpart is made to validate the competency of workfunction engineered gate in overall improvement of device characteristics. The model based theoretical analysis is further substantiated by relevant ATLAS device simulated data, thereby establishing the accuracy of the derived model.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"28 15 1","pages":"650-653"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84167625","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 : 2020-06-05DOI: 10.1109/tensymp50017.2020.9230763
Mazbah Kabir Mridul, A. Mahbub, Muhammad Safin Alam, Muhammad Ali
The world is facing a fuel crisis, increasing Carbon-dioxide, and air pollution problems. That is why people are turning fast to electric vehicles. Bangladesh has electric vehicles like easy bikes, auto-rickshaws, etc. also. In the recent future, the people of Bangladesh will be familiar with the electric car. Weare hoping that 8.5 % of cars will alter into electric cars within 2040 in Bangladesh. Unfortunately, our arrangement is not enough for the electric car at this moment. Two-thirds of Bangladesh's people are connected with electricity only, and we have insufficient land for new power plants. Hence, the upcoming electric load will be a burden for the country. But Electric cars will save natural gas and fuel in Bangladesh. Therefore, the solar charging system can be an effective solution to this problem. Bangladesh is generating 3% of electricity by solar at this time. To diminish these electric loads, we are designing a model to charge those electric cars by solar placing on road dividers at Dhaka-Chattogram national highway in Bangladesh.
{"title":"Designing Solar Charging Station for Electric Car at Dhaka-Chattogram National Highway in Bangladesh","authors":"Mazbah Kabir Mridul, A. Mahbub, Muhammad Safin Alam, Muhammad Ali","doi":"10.1109/tensymp50017.2020.9230763","DOIUrl":"https://doi.org/10.1109/tensymp50017.2020.9230763","url":null,"abstract":"The world is facing a fuel crisis, increasing Carbon-dioxide, and air pollution problems. That is why people are turning fast to electric vehicles. Bangladesh has electric vehicles like easy bikes, auto-rickshaws, etc. also. In the recent future, the people of Bangladesh will be familiar with the electric car. Weare hoping that 8.5 % of cars will alter into electric cars within 2040 in Bangladesh. Unfortunately, our arrangement is not enough for the electric car at this moment. Two-thirds of Bangladesh's people are connected with electricity only, and we have insufficient land for new power plants. Hence, the upcoming electric load will be a burden for the country. But Electric cars will save natural gas and fuel in Bangladesh. Therefore, the solar charging system can be an effective solution to this problem. Bangladesh is generating 3% of electricity by solar at this time. To diminish these electric loads, we are designing a model to charge those electric cars by solar placing on road dividers at Dhaka-Chattogram national highway in Bangladesh.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"25 1","pages":"66-69"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81705553","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 : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9231042
M. Asaduzzaman, Mohammad Shahjahan Majib, M. Rahman
Wi-Fi are mostly used components for connecting to the internet today. Nowadays Wi-Fi can be found in work, home or even in bus and train. While using internet with these access points, the connection between user and server is barely secure. Attackers can harvest data, as well as modify or drop data by impersonating himself as a legitimate access point. Also attacker can acquire the credentials of a legitimate access point from the users by impersonating himself as the legitimate access point and forcing the legitimate access point to be stopped for time being. This attack is known as Evil Twin attack. In this paper the traffics of both legitimate access point and rogue access point are analyzed. The detection is concluded with 91.2367% accuracy. Wi-fi frames of both APs are captured and features are extracted. Best 10 features are selected to increase the accuracy using chi-square test, information gain, gain ratio and tree based random forest. Several algorithms are used to classify the frames; among those J48 decision tree algorithm gives the highest accuracy.
{"title":"Wi-Fi Frame Classification and Feature Selection Analysis in Detecting Evil Twin Attack","authors":"M. Asaduzzaman, Mohammad Shahjahan Majib, M. Rahman","doi":"10.1109/TENSYMP50017.2020.9231042","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9231042","url":null,"abstract":"Wi-Fi are mostly used components for connecting to the internet today. Nowadays Wi-Fi can be found in work, home or even in bus and train. While using internet with these access points, the connection between user and server is barely secure. Attackers can harvest data, as well as modify or drop data by impersonating himself as a legitimate access point. Also attacker can acquire the credentials of a legitimate access point from the users by impersonating himself as the legitimate access point and forcing the legitimate access point to be stopped for time being. This attack is known as Evil Twin attack. In this paper the traffics of both legitimate access point and rogue access point are analyzed. The detection is concluded with 91.2367% accuracy. Wi-fi frames of both APs are captured and features are extracted. Best 10 features are selected to increase the accuracy using chi-square test, information gain, gain ratio and tree based random forest. Several algorithms are used to classify the frames; among those J48 decision tree algorithm gives the highest accuracy.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"18 1","pages":"1704-1707"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83667689","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 : 2020-06-05DOI: 10.1109/TENSYMP50017.2020.9230922
Tanvir Mahmud, Abdul Rakib Hossain, S. Fattah
Classifying handwritten digits is one of the most trending topics of research in the study of the automated text recognition system. The problem is more challenging in the case of Bengali digits due to additional complexities arising from similarity among various digits along with a wide variety of styles of hand-writings. In this paper, an end-to-end deep convolutional neural network, named as DeepBanglaNet, is proposed to classify Bengali handwritten digits. The proposed network utilizes various state-of-the-art optimization algorithms for eliminating vanishing/exploding gradient problems while extracting the global features effectively required for proper recognition of handwritten digits. This results in a very efficient model providing state-of-the-art accuracy of 99.43% on the NumtaDB database and outperforms all other existing models in all traditional evaluation metrics.
{"title":"DeepBanglaNet: A Deep Convolutional Neural Network to Recognize Bengali Handwritten Digits","authors":"Tanvir Mahmud, Abdul Rakib Hossain, S. Fattah","doi":"10.1109/TENSYMP50017.2020.9230922","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9230922","url":null,"abstract":"Classifying handwritten digits is one of the most trending topics of research in the study of the automated text recognition system. The problem is more challenging in the case of Bengali digits due to additional complexities arising from similarity among various digits along with a wide variety of styles of hand-writings. In this paper, an end-to-end deep convolutional neural network, named as DeepBanglaNet, is proposed to classify Bengali handwritten digits. The proposed network utilizes various state-of-the-art optimization algorithms for eliminating vanishing/exploding gradient problems while extracting the global features effectively required for proper recognition of handwritten digits. This results in a very efficient model providing state-of-the-art accuracy of 99.43% on the NumtaDB database and outperforms all other existing models in all traditional evaluation metrics.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"31 1","pages":"742-745"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83798121","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}
2D Topological insulators (TIs) possess an unique property of transport of spin edge states which are topologically protected. This phenomenon is explored in details in this paper for random edge imperfections in 2D hexagonal lattice nanoribbon TIs using Non equilibrium greens function (NEGF) formalism. Haldane model has been used for incorporating spin orbit interaction in the device hamiltonian, which is the source of creating topologically protected edge states in these materials.
{"title":"Spin Transport Of Dirac Electrons In Hexagonal Lattice Topological Insulator In The Presence Of Edge Imperfections","authors":"Anowarul Azim, Beig Rajibul Hasan, Nishat Mahzabin Helaly, Tanvir Ahmed, Mahbub Alam","doi":"10.1109/TENSYMP50017.2020.9231022","DOIUrl":"https://doi.org/10.1109/TENSYMP50017.2020.9231022","url":null,"abstract":"2D Topological insulators (TIs) possess an unique property of transport of spin edge states which are topologically protected. This phenomenon is explored in details in this paper for random edge imperfections in 2D hexagonal lattice nanoribbon TIs using Non equilibrium greens function (NEGF) formalism. Haldane model has been used for incorporating spin orbit interaction in the device hamiltonian, which is the source of creating topologically protected edge states in these materials.","PeriodicalId":6721,"journal":{"name":"2020 IEEE Region 10 Symposium (TENSYMP)","volume":"7 1","pages":"1824-1827"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82413229","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：