B. Pasuluri, D. Sekhar, K. Kiran, J. Manga, Bala Dastagiri N
{"title":"UART Implementation using the BIST Technique for Generating Test Patterns","authors":"B. Pasuluri, D. Sekhar, K. Kiran, J. Manga, Bala Dastagiri N","doi":"10.1109/CICT53865.2020.9672414","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672414","url":null,"abstract":"The rapid development of technology had reflected in the shrinking and complexity of VLSI circuits. Designers of such complex circuits must prioritize testability to guarantee the circuits' longevity and functionality. Sub-micron technological development increased the difficulty of testing VLSI circuits, requiring the hunt for alternatives to traditional testing. BIST is helpful because it allows the Test Pattern Generator (TPG) as well as Response Analyzer to assess modules without separating them from underlying circuits. The Universal Asynchronous Receiver Transmitter (UART) is used mainly for short-distance communication between CPUs and peripherals. Our aim is to develop a BIST-compliant UART. We designed an eight-bit UART module that may be utilized in two modes: testing and normal operation. The experiments were carried out with the help of a Linear Feedback Shift Register (LFSR) as well as a Multiple Input Signature Register (MISR). This article describes how to create a UART with BIST capabilities in Verilog HDL, which is subsequently simulated in Xilinx Vivado.","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129000745","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}
R. Sivanageswararao, Shaik Fayaz Ahamed, V. H. Prasad Reddy, P. Kumar
{"title":"Design and Development of VLSI Architecture for Implementing Sub-Nyquist ADC","authors":"R. Sivanageswararao, Shaik Fayaz Ahamed, V. H. Prasad Reddy, P. Kumar","doi":"10.1109/CICT53865.2020.9672405","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672405","url":null,"abstract":"Signals with high bandwidth are used in many communication systems. High-speed analog-to-digital converters are required when working with high-frequency signals (ADC). Proper reconstructing an analog signal at the receiver needs to be sampled as per the Shannon Nyquist theorem. However, for high-frequency signals implementing high-speed ADC devices can be a limiting factor as well as expensive. The Compressive Sensing (CS) framework is a promising area to reduce these difficulties. In CS, the signal can be sampled below the Nyquist rate. We reviewed the CS process and implemented the same in the Cadence tool for continuous-time signals in our work. Our goal is to reduce the sampling rates for high-speed ADC devices. The proposed system is very well finding its application in Bio-medical signal capturing devices and RADAR surveillance systems where continuous signal acquisitions are required.","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117154574","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}
{"title":"An Introduction to the TOA measurement for UWB indoor localization Systems","authors":"B. Krishnaveni, K. Reddy, P. Reddy","doi":"10.1109/CICT53865.2020.9672423","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672423","url":null,"abstract":"There is a demand for precise localization in indoor environments is still continuing even though there is difficulty in extracting information of position that is obtained through the measurements from fixed reference nodes. Time of arrival (TOA) technique is used as information for positioning in several systems. The measurement of the TOA values using Ultra Wideband (UWB) technology in positioning system is focused in this paper, that are recently grown in smart industries, warehouses, and shopping malls with a fast, reliable and high accuracy performances. Various methods of TOA measurement that cover based on correlation, de-convolution approaches, based on maximum likelihood (ML) approach and Maximum Probability of Detection (MPD) Method are discussed. Mathematical expressions of these methods are given. The comparison of these methods is also discussed.","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127517778","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}
{"title":"A Highly Performed SPR sensor for Urea Detection Using Au-BeO-GaP Based structure","authors":"Yesudasu Vasimalla, H. Pradhan","doi":"10.1109/CICT53865.2020.9672422","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672422","url":null,"abstract":"A highly performed “surface plasmon resonance (SPR) sensor” is presented for urea detection employing gold (Au)-beryllium oxide (BeO)-gallium phosphide (GaP)-based structure in this paper. Au is used to excite surface plasmons at prism surface in the proposed structure, whereas BeO is used for high absorption capability. Moreover, gallium phosphide (GaP) is employed as a higher absorption capability carrier and “biomolecular recognition element (BRE)” in order to prevent the external environment. Three different structures are made with above-defined layers in order to shows influence of proposed materials. The performance parameters for the proposed sensor have been analyzed by considering the transfers matrix method and angular interrogation technique at 670nm wavelength. Initially, the performance in terms of minimum reflectance $(mathrm{R}_{min})$ is analyzed and found less $mathrm{R}_{min}$ of 0.00013, which is always desired using the optimized Au thickness. Additionally, the study computes the performance parameters, such as sensitivity and quality factor (QF), for very small RI variations of the urea samples. The maximum achieved sensitivities and QF are 125.71 °/ RIU and 32.65 RIU−1 for conventional SPR; 145.71°/ RIU and 32.31RIU−1 for BeO-based SPR; 288.57°/ RIU and 33.63RIU−1 for proposed SPR. Finally, the performance proposed work is compared with existed works done by other researchers, demonstrating the proposed SPR amplifies the sensitivity and heightened the QF.","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123267614","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}
{"title":"HMER-Image To LaTeX : A Variational Dropout Approach","authors":"Ajay Garkal, Aniket Pal, K. Singh","doi":"10.1109/CICT53865.2020.9672359","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672359","url":null,"abstract":"A lot of research has been done to convert textual information into digital format but cannot obtain the desired results when applied to handwritten mathematical expressions. It is mainly due to complex 2D structure and spatial relations of the expressions. Meanwhile, many models were developed using encoder-decoder-based approaches to solve the problem. In this paper, we present a novel approach based on an encoder-decoder model with variational dropout. The model takes an image of a handwritten mathematical expression as input and provides the one-dimensional LaTeX code as output. It achieved 35.8% and 34.6% accuracy on CROHME 2014 and 2016 datasets, respectively.","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126226413","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}
{"title":"Deep learning based Tonic identification in Indian Classical Music","authors":"Yeshwant Singh, Anupam Biswas","doi":"10.1109/CICT53865.2020.9672343","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672343","url":null,"abstract":"Tonic (Shadja) is a central idea in Indian Classical Music (ICM). It is the base pitch that an artist selects to create the melodies in a Raag composition, and it acts as a reference for the artist and for tuning all the accompanying instruments. Therefore, automatic identification of Tonic is a crucial task in the computational approaches of ICM, such as Raag Identification, melodic phrase analysis, etc. In this article, we propose a deep learning-based approach using frequency histogram peaks for Tonic identification. We demonstrate that the proposed approach combining deep learning and peaks of frequency histogram in most cases provides very high results with small mean absolute error and is easier to deploy in production systems than the existing multi-pitch-based approaches. Finally, we provide a systematic error overview of our approach, which provides further insight into the benefits and drawbacks of our methodology,","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128737180","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}
{"title":"Reliable and Low Density based Error Correction in SRAM cells","authors":"Thanuj Kumar Voleti, Kishore Kumar Gundugonti","doi":"10.1109/CICT53865.2020.9672388","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672388","url":null,"abstract":"This technology can be implemented as a standalone device or incorporated into a networking application-specific integrated circuit (NSIC). Because of their flexibility, FPGAs are ideal for SDN applications, and most providers offer development kits for SDN applications. A TCAM-enabled FPGA is needed to simulate TCAM capabilities. Techniques for TCAM emulation have been proposed in the past few years, with a few of them being implemented on processors today. Numerous modern CPUs use TCAMs due to the rising amount of memory blocks that are accessible. Mild errors, on the other hand, might cause harm to the bits stored in the memory. Using a parity check to detect flaws or an error correction code to repair them can secure the memories. Protecting the memory used to simulate TCAMs is discussed in this short. Further, this project is enhanced using Decimal Matrix codes to reduce complexity and increase efficiency.","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124838811","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}
{"title":"High Throughput Folded Architecture of AES","authors":"G. Mohan, M. M.","doi":"10.1109/CICT53865.2020.9672409","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672409","url":null,"abstract":"Advanced Encryption Standard (AES) is the most widely used crypto algorithms in various secured data commu-nications such as SSL, and so on. This paper proposes a high throughput folded architecture to perform 128-bit AES encryption/decryption, where four AES operations can be performed in parallel. The hardware utilization and throughput of this proposed folded AES design is lying in between the conventional folded and parallel designs. All the existing and proposed AES designs are implemented with Virtex-6 FPGA (XC6VLX760) using Xilinx. The synthesis results show that our proposed design achieves 84.65% of improvement in the throughput than the existing folded design with looping parameter-2 (Fig. 4 of [7]).","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126026659","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}
{"title":"Ensemble Learning based Credit Card Fraud Detection System","authors":"Pooja Tomar, S. Shrivastava, Urjita Thakar","doi":"10.1109/CICT53865.2020.9672426","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672426","url":null,"abstract":"In this digital era cashless transactions are very much common. Simplicity and convenience of online and credit card transaction has raised the popularity and revenue of e-commerce site. Every coin has two side, as the credit card transaction growing day by day, so does the number of fraudulent transactions. Credit card fraud can be detected by evaluating client spending history from prior transaction data and detecting variation in their spending behavior. With the technological advancement rule based techniques are not so effective in detecting credit card fraud from huge datasets. Now banks and credit card firms are using various classification techniques like decision trees, logistic regression, Random forest for this purpose, but one of the biggest challenge for computational intelligence technologies in detecting credit card fraud are class imbalance and concept drift problem. To overcome these problem effectively hybrid approaches are gaining momentum. In this paper ensem-ble learning technique is employed by parallel applying Decision Tree, Logistic Regression, Naive base classifiers and then best output is selected through hard voting. The experimental results conclusively proven that accuracy of Ensemble learning with hard voting achieve better accuracy as compared to other classifiers in detecting credit card fraud.","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124005801","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}
Manoj Manike, Priyanshu Singh, Purna Sai Madala, Steve Abraham Varghese, Saleti Sumalatha
{"title":"Student Placement Chance Prediction Model using Machine Learning Techniques","authors":"Manoj Manike, Priyanshu Singh, Purna Sai Madala, Steve Abraham Varghese, Saleti Sumalatha","doi":"10.1109/CICT53865.2020.9672372","DOIUrl":"https://doi.org/10.1109/CICT53865.2020.9672372","url":null,"abstract":"Obtaining employment upon graduation from uni-versity is one of the highest, if not the highest, priorities for students and young adults. Developing a system that can help these individuals obtain placement advice, analyze labor market trends, and assist educational institutions in assessing growing fields and opportunities would serve immense value. With the emergence of heavily refined Data Mining techniques and Machine Learning boiler plates, a model based on predictive analysis can help estimate a variety of realistic and possible placement metrics, such as the types of companies a junior year student can be placed in, or the companies that are likely to look for the specific skill sets of a student. Various attributes such as academic results, technical skills, training experiences, and projects can help predict purposes. We devised the XGBoost Technique, a structured or tabular data-focused approach that has recently dominated applied machine learning and Kaggle tournaments. XGBoost is a high-speed and high-performance implementation of gradient boosted decision trees. We created a model and ran numerous EDAs to determine whether the student will be placed or not, as well as in which type of organization he will be placed [Day Sharing, Dream, Super Dream, Marquee].","PeriodicalId":265498,"journal":{"name":"2021 5th Conference on Information and Communication Technology (CICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129656262","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}