2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)最新文献_第10页

Analysis of CNN Based Schemes for LDPC Code Classification Using LUT Based Algorithms 基于CNN的基于LUT算法的LDPC码分类方案分析

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284950

B. Comar

引用次数: 0

Integration of IoT and Blockchain Technology for Enhancing Supply Chain Performance: A Review 整合物联网和区块链技术提高供应链绩效:综述

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284890

Shashank P. Kumar, A. Pundir

引用次数: 1

A Mamdani fuzzy system implementation on Arduino UNO and FPGA 基于Arduino、UNO和FPGA的Mamdani模糊系统实现

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284841

Marcos Gutierrez-Lopez, Andy Montalvo-Fernández, J. Padilla-Medina, F. Pérez-Pinal, A. Barranco-Gutiérrez

引用次数: 0

DenseYOLO: Yet Faster, Lighter and More Accurate YOLO DenseYOLO:更快，更轻，更准确的YOLO

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284923

Solomon Negussie Tesema, E. Bourennane

{"title":"DenseYOLO: Yet Faster, Lighter and More Accurate YOLO","authors":"Solomon Negussie Tesema, E. Bourennane","doi":"10.1109/IEMCON51383.2020.9284923","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284923","url":null,"abstract":"As much as an object detector should be accurate, it should be light and fast as well. However, current object detectors tend to be either inaccurate when lightweight or very slow and heavy when accurate. Accordingly, determining tolerable tradeoff between speed and accuracy of an object detector is not a simple task. One of the object detectors that have commendable balance of speed and accuracy is YOLOv2. YOLOv2 performs detection by dividing an input image into grids and training each grid cell to predict certain number of objects. In this paper we propose a new approach to even make YOLOv2 more fast and accurate. We re-purpose YOLOv2 into a dense object detector by using fine-grained grids, where a cell predicts only one object and its corresponding class and objectness confidence score. Our approach also trains the system to learn to pick a best fitting anchor box instead of the fixed anchor assignment during ground-truth annotation as used by YOLOv2. We will also introduce a new loss function to balance the overwhelming imbalance between the number of grids responsible of detecting an object and those that should not.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"57 1","pages":"0534-0539"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78270553","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}

引用次数: 3

Shilpa: A Novel Neural Based Approach for Measuring Human Stress Level Shilpa:一种新的基于神经的方法来测量人类的压力水平

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284866

B.T.N Perera, B. Jayarathne, T.G.G.M Dharmakeerthi, K.T.D.D.K Thanthilage, Y. Priyadarshana

{"title":"Shilpa: A Novel Neural Based Approach for Measuring Human Stress Level","authors":"B.T.N Perera, B. Jayarathne, T.G.G.M Dharmakeerthi, K.T.D.D.K Thanthilage, Y. Priyadarshana","doi":"10.1109/IEMCON51383.2020.9284866","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284866","url":null,"abstract":"21st century is far more advanced than the 20th century because of its new innovations along with the relevant technological mappings. Technology makes our day to day work easy. However, this has been led our simple life to be very complex. We have become really busy, money minded and most importantly we don't have time to spend with our families or thinking about ourselves. As Millennials form our childhood what we have experienced is the stress to be the best. The competition which has been generated around and among us cannot be handled; so, people have been depressed and this would let them even committing suicide. Therefore, a Learning Assistant for advanced level students, which has been named as “Shilpa”, would be a practical remedy and a companion to overcome such difficulties. Shilpa has been stepped forward to monitor students' stress levels and to help them understand their weak areas considering the curriculum of a particular subject. Once identifying a particularly weak area, Shilpa navigates the user to the summarized version of a weakly identified content of a lesson in which the user doesn't have to go through the entire course curriculum to improve his/her weak areas. The implemented system has been tested considering all the novel components, and an overall value of 0.81 has been experimented as per the precision. It can be concluded that this novel approach has achieved an overall 81% accuracy over the existing state-of-the-art baselines.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"62 1","pages":"0308-0313"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83694809","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}

引用次数: 0

Implementation of the Nonbinary Encoder and Decoder for Systematic Low Density Parity Check Codes on Raspberry-pi boards 树莓派板上系统低密度奇偶校验码的非二进制编码器和解码器的实现

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284943

Abhishek Maheshwari, U. Tuntoolavest, K. Fukawa

引用次数: 0

Improving the Availability of Firewalls with a View to Increasing ICT Consumption Due Covid-19 提高防火墙可用性，以应对新冠肺炎疫情，增加ICT消耗

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284894

E. Ursini, Henry de Castro Lobo dos Santos, M. Okano

{"title":"Improving the Availability of Firewalls with a View to Increasing ICT Consumption Due Covid-19","authors":"E. Ursini, Henry de Castro Lobo dos Santos, M. Okano","doi":"10.1109/IEMCON51383.2020.9284894","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284894","url":null,"abstract":"Due to pandemic Covid-19, which suddenly forced people to change their habits and stay in their homes for several weeks, the daily routines changed, people could no longer go to work or study, physical contact should be avoided, care with personal hygiene improved and all types of crowding avoided. This causes “home office” work to skyrocket and reach significant peaks. In this way, the demand for services related to Information and Communication Technology, ICT, has grown greatly. To manage the problems caused by the lack of resources needed to transport traffic on the network, SLA (Service Level Agreement) contracts are common, which the parties involved sign (the provider and the customer). Failure to comply with these contracts may result in a fine for the party that has not fulfilled it. This work proposes an approach to improve the dimensioning of Firewalls, in terms of their availability, to establish values as close as possible to the real ones so that there is neither an underestimation nor an overestimation of commitments agreed between the actors. In addition, this work proposes a way to approach this problem in a broader way, taking into account the Dependability, that is, Availability, Reliability and Maintainability.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"3 1","pages":"0647-0653"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81788126","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}

引用次数: 3

Machine Learning for Breast Cancer Classification With ANN and Decision Tree 基于人工神经网络和决策树的乳腺癌分类机器学习

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284936

Reetodeep Hazra, Megha Banerjee, L. Badia

{"title":"Machine Learning for Breast Cancer Classification With ANN and Decision Tree","authors":"Reetodeep Hazra, Megha Banerjee, L. Badia","doi":"10.1109/IEMCON51383.2020.9284936","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284936","url":null,"abstract":"Breast cancer is one of the commonest cause of cancer deaths in women. It starts developing when threatening bumps start forming from the breast cells, and unfortunately most diagnoses happen in later stages, thus resulting in low chances of survival for the patient. So for early detection and prognosis, it is necessary to detect the benign or threatening nature of the bumps. In this paper, Artificial Neural Networks (ANN) and Decision Tree (DT) classifiers are used to develop a machine learning (ML) model using the Wisconsin diagnostic breast cancer (WDBC) dataset, in order to evaluate the attributes of a breast cancer development at beginning phases and classify it as malignant or benign. In the proposed scheme, feature selection and feature extraction are done to extract statistical features from the dataset and comparison between the models is provided based on their performance to identify the most suitable approach for diagnosis. The dataset apportioned into various arrangements of train-test split. The presentation of the framework is estimated, depending on accuracy, sensitivity, specificity, precision, and recall. The binary classification problem achieved a maximum accuracy of 98.55%.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"23 1","pages":"0522-0527"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83068999","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}

引用次数: 14

An approach towards development of automated attendance system using face detection and recognition 一种基于人脸检测与识别的自动考勤系统的开发方法

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284817

Sayan Seal, Aishee Sen, Ritodeep Mukerjee, A. Das

{"title":"An approach towards development of automated attendance system using face detection and recognition","authors":"Sayan Seal, Aishee Sen, Ritodeep Mukerjee, A. Das","doi":"10.1109/IEMCON51383.2020.9284817","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284817","url":null,"abstract":"Conventionally, the process of taking attendance of students in a classroom is quite a laborious task, wherein either the teacher has to call out names of each individual student, or the student has to sign an attendance sheet. In recent times, due to the Covid-19 pandemic, special importance has been laid on facial recognition techniques, which are contact-free (unlike fingerprint scanners), and are in accordance with social distancing norms. In this paper, a software system automating the attendance-taking scheme is presented. This software integrates face detection, image processing and face recognition approaches to come up with a consolidated attendance system capable of overcoming the disadvantages of manual attendance. In the system, an end user has to first log in and subsequently, an IP camera (which is to be installed in the classroom) gets turned on, and the camera starts taking photographs of the classroom. The user can also manually upload images into the system, in case calculation of attendance is not immediately required. The Histogram of Oriented Gradients (HOG) approach is employed for the face detection mechanism in the proposed system. After a comparative performance analysis of different facial recognition techniques, the Local Binary Patterns Histograms (LBPH) method is chosen as the facial recognition procedure for the system. Once all the individual students have been recognised by comparison with the model built from the extracted faces, the final results are sorted according to date (similar to taking attendance of a class on a particular day) and stored in the database.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"64 1","pages":"0333-0340"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86803602","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}

引用次数: 2

Design of Efficient Dynamic Scheduling of RISC Processor Instructions RISC处理器指令高效动态调度设计

2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) Pub Date : 2020-11-04 DOI: 10.1109/IEMCON51383.2020.9284902

Anudeep Bonasu, S. Karmunchi, Nan Wang

引用次数: 0