Pub Date : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251006
Md Mohiuddin Soliman, Mahdi Alkaeed, Md.Jahedul Alam Pervez, Ifran Ahmed Rafi, M. M. Hasan Mahfuz, Ahmed Musa
Advent of Ultra-wideband (UWB) technology has been flourished the uses of UWB spectrum (3.1-10.6) GHz accredited by the Federal Communication Commission (FCC) for the diversity of short-range applications. The vital challenge is to design a proficient UWB antenna, which will alleviate the Electro-magnetic interference of the UWB spectrum with the coexisting narrowband utilizing band notch appearances. In this research work, a comb slot shape competent UWB antenna proposed with controllable triple-band rejection characteristic for Wimax/WLan/5G/Satellite applications. The antenna has primarily obtained UWB characteristics by defecting the ground structure in a staircase form and triple-band notch features achieved by inserting a comb shape slot on a radiating patch. The comb shape consists of three slots and the deviation of slot length in an exponential order. Moreover, the band notch at 3-3.85 GHz for WiMAX attained by etching topper slot and band notch at 4.5-5.8 GHz, 7-8 GHz achieved via the inclusion of middle slot and bottom slot respectively. Above and beyond, each band notch can be controlled over a range of frequency by customizing the slot dimension. The proposed antenna occupied compact size 35x35x1.6 mm3 and almost 95% average radiation efficiency obtained over the bandpass frequency, while the lowest 20% efficiency attained over the band notch. Furthermore, the proposed antenna has achieved return loss -58 dB as the minimum value and close to -2 dB as maximum value over the UWB as well as band notch frequency respectively. In conclusion, it is noteworthy that the proposed antenna covered the existing research challenge and will perfect antenna tools for upcoming UWB technology.
{"title":"A Comb Shape Slot UWB Antenna with Controllable Triple Band Rejection Features for Wimax/Wlan/5G/Satellite Applications","authors":"Md Mohiuddin Soliman, Mahdi Alkaeed, Md.Jahedul Alam Pervez, Ifran Ahmed Rafi, M. M. Hasan Mahfuz, Ahmed Musa","doi":"10.1109/SCOReD50371.2020.9251006","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251006","url":null,"abstract":"Advent of Ultra-wideband (UWB) technology has been flourished the uses of UWB spectrum (3.1-10.6) GHz accredited by the Federal Communication Commission (FCC) for the diversity of short-range applications. The vital challenge is to design a proficient UWB antenna, which will alleviate the Electro-magnetic interference of the UWB spectrum with the coexisting narrowband utilizing band notch appearances. In this research work, a comb slot shape competent UWB antenna proposed with controllable triple-band rejection characteristic for Wimax/WLan/5G/Satellite applications. The antenna has primarily obtained UWB characteristics by defecting the ground structure in a staircase form and triple-band notch features achieved by inserting a comb shape slot on a radiating patch. The comb shape consists of three slots and the deviation of slot length in an exponential order. Moreover, the band notch at 3-3.85 GHz for WiMAX attained by etching topper slot and band notch at 4.5-5.8 GHz, 7-8 GHz achieved via the inclusion of middle slot and bottom slot respectively. Above and beyond, each band notch can be controlled over a range of frequency by customizing the slot dimension. The proposed antenna occupied compact size 35x35x1.6 mm3 and almost 95% average radiation efficiency obtained over the bandpass frequency, while the lowest 20% efficiency attained over the band notch. Furthermore, the proposed antenna has achieved return loss -58 dB as the minimum value and close to -2 dB as maximum value over the UWB as well as band notch frequency respectively. In conclusion, it is noteworthy that the proposed antenna covered the existing research challenge and will perfect antenna tools for upcoming UWB technology.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131227604","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250938
R. Hanifa, I. K., M. S.
Speaker recognition is an Artificial Intelligent (AI) technology that lets the machine to process, interpret and respond to human language. In this work, the recorded speech developed from a collection of audio speeches is used as a database. Mel-frequency cepstral coefficients (MFCC) and gammatone frequency cepstral coefficients (GFCC) are two different cepstral features used in this work. These extracted features are then used to train, validate and test the classifier. Support Vector Machine (SVM) is the classifier used in developing the speaker identification system. This classifier is trained to classify the input speech into one of the ethnicity classes: Malay, Chinese, Indian or Bumiputera. The results are based on the two different usages of cepstral features from the same speech utterances by speakers. Finally, the comparative analysis of the speaker identification system is made concerning features and classifier. The results revealed that a combination of GFCC and pitch as the feature vectors (Model 4) produced the highest accuracy rate of 86.1%.
{"title":"Comparative Analysis on Different Cepstral Features for Speaker Identification Recognition","authors":"R. Hanifa, I. K., M. S.","doi":"10.1109/SCOReD50371.2020.9250938","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250938","url":null,"abstract":"Speaker recognition is an Artificial Intelligent (AI) technology that lets the machine to process, interpret and respond to human language. In this work, the recorded speech developed from a collection of audio speeches is used as a database. Mel-frequency cepstral coefficients (MFCC) and gammatone frequency cepstral coefficients (GFCC) are two different cepstral features used in this work. These extracted features are then used to train, validate and test the classifier. Support Vector Machine (SVM) is the classifier used in developing the speaker identification system. This classifier is trained to classify the input speech into one of the ethnicity classes: Malay, Chinese, Indian or Bumiputera. The results are based on the two different usages of cepstral features from the same speech utterances by speakers. Finally, the comparative analysis of the speaker identification system is made concerning features and classifier. The results revealed that a combination of GFCC and pitch as the feature vectors (Model 4) produced the highest accuracy rate of 86.1%.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133379284","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250941
N. Ong, S. Yee, Adel Y. I. Ashyap
A rectangular microstrip fed patch antenna with complementary DSRR is proposed as a preliminary work for water quality testing. Four different designs that varies in term of the locations and number of complementary DSRR are considered and the best design will be used for water quality testing in the future work. The performance of each design is compared based on its S11 parameter and Q-factor simulated by using commercial software. The simulated results show that the addition of complementary DSRR on the patch antenna has enhanced the return loss and Q-factor of the antenna. The sensitivity of design with best performance are investigated further in term of its resonance frequency shifting by introducing water sample in the simulator. Two sample placement configurations are considered in this work and it is found that the antenna has higher sensitivity when the sample under test cover the antenna completely. The simulated results show that the proposed antenna is capable of detecting the variation step of 0.5 dielectric constant at the range from 80 to 83 with sensitivity of 8 x106.
{"title":"Design of Microwave Sensor Based on Rectangular Double Split Ring Resonator for Water Quality Monitoring","authors":"N. Ong, S. Yee, Adel Y. I. Ashyap","doi":"10.1109/SCOReD50371.2020.9250941","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250941","url":null,"abstract":"A rectangular microstrip fed patch antenna with complementary DSRR is proposed as a preliminary work for water quality testing. Four different designs that varies in term of the locations and number of complementary DSRR are considered and the best design will be used for water quality testing in the future work. The performance of each design is compared based on its S11 parameter and Q-factor simulated by using commercial software. The simulated results show that the addition of complementary DSRR on the patch antenna has enhanced the return loss and Q-factor of the antenna. The sensitivity of design with best performance are investigated further in term of its resonance frequency shifting by introducing water sample in the simulator. Two sample placement configurations are considered in this work and it is found that the antenna has higher sensitivity when the sample under test cover the antenna completely. The simulated results show that the proposed antenna is capable of detecting the variation step of 0.5 dielectric constant at the range from 80 to 83 with sensitivity of 8 x106.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133501915","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250990
Abdallah Elhigazi, S. Razak, Mosab Hamdan, Bushra Mohammed, Ibrahim Abaker, Abubakar Elsafi
Denial of Service (DOS) related attacks remain one of the most established attacks in the wireless local area network (WLAN). While several algorithms have been proposed to detect and prevent DOS attacks in WLANs, most of these methods come with weaknesses that provide attackers with avenues to launch attacks. For instance, the three security protocols set out by the 802.11 for the protection of wireless infrastructure network, namely, wired equivalent privacy (WEP), Wi-Fi protected access (WPA), and Wi-Fi protected access2 (WPA2), all suffer from DOS attacks. Thus, in this paper, we propose an algorithm for the detection and prevention authentication request flood attacks by using MAC filter buffer for the maintenance and filtering of MAC as well as buffer monitoring. Experimental results of our proposed algorithm show superior performance compared to other methods in terms of detection and prevention. The proposed algorithm has improved the detection performance by 98.4% comparing to the related work.
{"title":"Authentication Flooding DOS Attack Detection and Prevention in 802.11","authors":"Abdallah Elhigazi, S. Razak, Mosab Hamdan, Bushra Mohammed, Ibrahim Abaker, Abubakar Elsafi","doi":"10.1109/SCOReD50371.2020.9250990","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250990","url":null,"abstract":"Denial of Service (DOS) related attacks remain one of the most established attacks in the wireless local area network (WLAN). While several algorithms have been proposed to detect and prevent DOS attacks in WLANs, most of these methods come with weaknesses that provide attackers with avenues to launch attacks. For instance, the three security protocols set out by the 802.11 for the protection of wireless infrastructure network, namely, wired equivalent privacy (WEP), Wi-Fi protected access (WPA), and Wi-Fi protected access2 (WPA2), all suffer from DOS attacks. Thus, in this paper, we propose an algorithm for the detection and prevention authentication request flood attacks by using MAC filter buffer for the maintenance and filtering of MAC as well as buffer monitoring. Experimental results of our proposed algorithm show superior performance compared to other methods in terms of detection and prevention. The proposed algorithm has improved the detection performance by 98.4% comparing to the related work.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117142728","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251025
U. Kumar, A. Fam
At the end of all fixed point multiplications is one last long addition that needs to be performed. In this paper, we show how the choice of this last adder has significant effect on the delay of the multiplier, in terms of time complexity. It is shown here that using a prefix adder for the final addition, causes the multiplication delay to increase as $mathrm{O}({log}[N])$, as compared to the $mathrm{O}(N)$ delay if a ripple carry adder is used instead. Simulations using spectre by Cadence, for 8,16,32, and 64 bit Wallace tree based multipliers, show that using a prefix adder instead of a ripple carry adder reduces the multiplier’s latency by up to 66% at the cost of minimal increase in power consumption.
{"title":"Enhanced Wallace Tree Multiplier via a Prefix Adder","authors":"U. Kumar, A. Fam","doi":"10.1109/SCOReD50371.2020.9251025","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251025","url":null,"abstract":"At the end of all fixed point multiplications is one last long addition that needs to be performed. In this paper, we show how the choice of this last adder has significant effect on the delay of the multiplier, in terms of time complexity. It is shown here that using a prefix adder for the final addition, causes the multiplication delay to increase as $mathrm{O}({log}[N])$, as compared to the $mathrm{O}(N)$ delay if a ripple carry adder is used instead. Simulations using spectre by Cadence, for 8,16,32, and 64 bit Wallace tree based multipliers, show that using a prefix adder instead of a ripple carry adder reduces the multiplier’s latency by up to 66% at the cost of minimal increase in power consumption.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117283897","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9383184
W. I. Intan Azmira, Arfah Ahmad, I. Abidin, K. S. Yap, M. Nasir, Wenny Rumy Upkli
Predicting the price of electricity is an important aspect in the operation and planning of power systems. However, predicting the price of electricity is a relatively challenging task as it faces very uncertain conditions. Hence, this study proposes a hybrid Least Square Support Vector Machine (LSSVM) and Bacterial Foraging optimization Algorithm (BFOA) for day-ahead electricity price forecast. The main contribution of this work is the multistage optimization approach of LSSVM-BFOA that can improve the forecasting accuracy and efficiency. This is achieved by optimizing the input features and parameters of LSSVM at the same time. The input features have been reduced by six optimization levels in order to avoid losing any significant input. At the same time, the average MAPE is observed and the second stage of optimization is carried out. These processes are performed until there is no improvement in MAPE is observed. This model is examined in the Ontario power market. The LSSVM-BFOA model developed showed higher prediction accuracy with less complex model structure than most existing models. The day ahead price forecast is beneficial for both power generators and consumers in bidding for electricity prices.
{"title":"Electricity Price Prediction with Support Vector Machine and Bacterial Foraging Optimization Algorithm for Day-Ahead model","authors":"W. I. Intan Azmira, Arfah Ahmad, I. Abidin, K. S. Yap, M. Nasir, Wenny Rumy Upkli","doi":"10.1109/SCOReD50371.2020.9383184","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9383184","url":null,"abstract":"Predicting the price of electricity is an important aspect in the operation and planning of power systems. However, predicting the price of electricity is a relatively challenging task as it faces very uncertain conditions. Hence, this study proposes a hybrid Least Square Support Vector Machine (LSSVM) and Bacterial Foraging optimization Algorithm (BFOA) for day-ahead electricity price forecast. The main contribution of this work is the multistage optimization approach of LSSVM-BFOA that can improve the forecasting accuracy and efficiency. This is achieved by optimizing the input features and parameters of LSSVM at the same time. The input features have been reduced by six optimization levels in order to avoid losing any significant input. At the same time, the average MAPE is observed and the second stage of optimization is carried out. These processes are performed until there is no improvement in MAPE is observed. This model is examined in the Ontario power market. The LSSVM-BFOA model developed showed higher prediction accuracy with less complex model structure than most existing models. The day ahead price forecast is beneficial for both power generators and consumers in bidding for electricity prices.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124514386","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250946
Shaheer Ansari, A. Ayob, M. S. Hossain Lipu, M. Saad, A. Hussain
The global era is experiencing a shift in the utilization of energy resources. In this race for exploration, solar energy is racing ahead of several energy resources due to several factors. Hence energy as well as the parameters of solar Photovoltaic (PV) system needs to be carefully monitored. This paper investigates various Internet of Things (IoT) based electronic modules for data processing being utilized in monitoring the parameters (Electrical and Environmental) for solar PV system. Each technology is discussed in detail along with its introduction, design aspects, communication and limitation. Moreover, the paper discussed some common aspects of each IoT based module such as data handling, size and cost etc. and finally recommendation is mentioned based on given review done.
{"title":"Comparison of the IoT Based Modules for Solar PV Environment: A Review","authors":"Shaheer Ansari, A. Ayob, M. S. Hossain Lipu, M. Saad, A. Hussain","doi":"10.1109/SCOReD50371.2020.9250946","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250946","url":null,"abstract":"The global era is experiencing a shift in the utilization of energy resources. In this race for exploration, solar energy is racing ahead of several energy resources due to several factors. Hence energy as well as the parameters of solar Photovoltaic (PV) system needs to be carefully monitored. This paper investigates various Internet of Things (IoT) based electronic modules for data processing being utilized in monitoring the parameters (Electrical and Environmental) for solar PV system. Each technology is discussed in detail along with its introduction, design aspects, communication and limitation. Moreover, the paper discussed some common aspects of each IoT based module such as data handling, size and cost etc. and finally recommendation is mentioned based on given review done.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127190323","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9251027
U. Kumar, A. Fam
Stacking, or grouping all set bits in a binary sequence together, is used recently to design a fast parallel (6,3) counter, and a novel approximate (4,2) compressor. These circuits use blocks of a stacking circuit, that can stack only three bits long binary sequences. This paper presents a new procedure to stack set bits in an N bits long binary sequence, for any N, in $mathrm{O}({log}[N])$ stages. Design of fast parallel binary counters using the proposed stacking method, is also discussed.
{"title":"A Binary Stacker via Barrel Shifters","authors":"U. Kumar, A. Fam","doi":"10.1109/SCOReD50371.2020.9251027","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9251027","url":null,"abstract":"Stacking, or grouping all set bits in a binary sequence together, is used recently to design a fast parallel (6,3) counter, and a novel approximate (4,2) compressor. These circuits use blocks of a stacking circuit, that can stack only three bits long binary sequences. This paper presents a new procedure to stack set bits in an N bits long binary sequence, for any N, in $mathrm{O}({log}[N])$ stages. Design of fast parallel binary counters using the proposed stacking method, is also discussed.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127355188","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250974
M. F. M. Rasol, F. K. A. Hamid, Z. Johari, R. Arsat, M. Yusoff
The scaling down of device dimension beyond the Moore’s Law era have introduce the use of new material and device architecture. This paper reports a comparative study between Silicon and III-V junctionless-gate-all-around (JGAA) transistor as an alternative approach to overcome the short channel effects (SCEs). The device is simulated and characterized using TCAD Sentaurus. The III-V semiconductor channel material applied are Gallium Nitrite (GaN) and Gallium Arsenide (GaAs). The device electrical performance was compared in terms of the threshold voltage (Vth), subthreshold slope (SS), drain current (Ion) and leakage current (Ioff) extracted from the current-voltage characteristics. The results demonstrated a feasibility of using advanced device architecture using non-silicon material for future nanoelectronics application.
{"title":"Performance Analysis of Silicon and III-V Channel Material for Junctionless-Gate-All-Around Field Effect Transistor","authors":"M. F. M. Rasol, F. K. A. Hamid, Z. Johari, R. Arsat, M. Yusoff","doi":"10.1109/SCOReD50371.2020.9250974","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250974","url":null,"abstract":"The scaling down of device dimension beyond the Moore’s Law era have introduce the use of new material and device architecture. This paper reports a comparative study between Silicon and III-V junctionless-gate-all-around (JGAA) transistor as an alternative approach to overcome the short channel effects (SCEs). The device is simulated and characterized using TCAD Sentaurus. The III-V semiconductor channel material applied are Gallium Nitrite (GaN) and Gallium Arsenide (GaAs). The device electrical performance was compared in terms of the threshold voltage (Vth), subthreshold slope (SS), drain current (Ion) and leakage current (Ioff) extracted from the current-voltage characteristics. The results demonstrated a feasibility of using advanced device architecture using non-silicon material for future nanoelectronics application.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126969944","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 : 2020-09-27DOI: 10.1109/SCOReD50371.2020.9250970
Sarah Rafiq, K. Beckmann, N. Cady
As CMOS scaling approaches its limitation, the power consumption of computations performed using the von Neumann architecture have become an issue. As a promising alternative solution, Resistive Random Access Memory (ReRAM) overcomes this bottleneck by enabling computationin-memory. In this work, arrays of HfO2-based bipolar ReRAM are simulated to carry out one such computation, called temporal correlation detection in binary processes. The correlation detection algorithm is presented, and the ReRAM model of fabricated devices was used in a Python-based simulation. The correlated and uncorrelated processes were assigned to ReRAM devices in a 5x5 array, where the ReRAM with correlated process was driven to a high conductance over time. The results show that the correlated processes are successfully detected over time.
{"title":"Simulation of Temporal Correlation Detection using HfO2-Based ReRAM Arrays","authors":"Sarah Rafiq, K. Beckmann, N. Cady","doi":"10.1109/SCOReD50371.2020.9250970","DOIUrl":"https://doi.org/10.1109/SCOReD50371.2020.9250970","url":null,"abstract":"As CMOS scaling approaches its limitation, the power consumption of computations performed using the von Neumann architecture have become an issue. As a promising alternative solution, Resistive Random Access Memory (ReRAM) overcomes this bottleneck by enabling computationin-memory. In this work, arrays of HfO2-based bipolar ReRAM are simulated to carry out one such computation, called temporal correlation detection in binary processes. The correlation detection algorithm is presented, and the ReRAM model of fabricated devices was used in a Python-based simulation. The correlated and uncorrelated processes were assigned to ReRAM devices in a 5x5 array, where the ReRAM with correlated process was driven to a high conductance over time. The results show that the correlated processes are successfully detected over time.","PeriodicalId":142867,"journal":{"name":"2020 IEEE Student Conference on Research and Development (SCOReD)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114171578","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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