2020 Emerging Technology in Computing, Communication and Electronics (ETCCE)最新文献_第6页

A Multi-Layer Data Encryption and Decryption Mechanism Employing Cryptography and Steganography 采用密码学和隐写术的多层数据加解密机制

2020 Emerging Technology in Computing, Communication and Electronics (ETCCE) Pub Date : 2020-12-21 DOI: 10.1109/ETCCE51779.2020.9350908

Tahsina Tabassum, Md. Ashiq Mahmood

{"title":"A Multi-Layer Data Encryption and Decryption Mechanism Employing Cryptography and Steganography","authors":"Tahsina Tabassum, Md. Ashiq Mahmood","doi":"10.1109/ETCCE51779.2020.9350908","DOIUrl":"https://doi.org/10.1109/ETCCE51779.2020.9350908","url":null,"abstract":"Information protection is a significant matter for both oneself and companies involved in one manner of communication or the other, particularly in cyberspace, due to the development of digital computing and communication. As a result, Steganography and Cryptography have become some of the most complementary procedures in data protection. In this modern technology era, individually employing Cryptography or Steganography will not afford the expected security from intruders. Our proposed method employs a unification of Steganography and Cryptography, which utilizes the Blowfish algorithm, the Advanced Encryption Standard algorithm and remarkable features of the residue numbering system, the Least Significant Bit algorithm and the operators of Genetic Algorithm. The outcomes show that more than 70% minimal error is reduced (for stego images) compared to the previous methods in terms of Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE). This approach above is less complicated concerning runtime and consumes less power. Higher NPCR/UACI value in the result indicates an increased level of security.","PeriodicalId":234459,"journal":{"name":"2020 Emerging Technology in Computing, Communication and Electronics (ETCCE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126731451","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: 1

Scalability Analysis in Mininet on Software Defined Network using ONOS 基于ONOS的软件定义网络Mininet可扩展性分析

2020 Emerging Technology in Computing, Communication and Electronics (ETCCE) Pub Date : 2020-12-21 DOI: 10.1109/ETCCE51779.2020.9350892

Rafiza Ruslan, Nur'Aqila Balqis Othman, Mohd Faris Mohd Fuzi, Norliza Ghazali

{"title":"Scalability Analysis in Mininet on Software Defined Network using ONOS","authors":"Rafiza Ruslan, Nur'Aqila Balqis Othman, Mohd Faris Mohd Fuzi, Norliza Ghazali","doi":"10.1109/ETCCE51779.2020.9350892","DOIUrl":"https://doi.org/10.1109/ETCCE51779.2020.9350892","url":null,"abstract":"Software Defined Network (SDN) is a promising solution towards traditional network as SDN is more flexible in configuring and managing the network. A controller is a programmed software that allows controlling the network as a whole, thus, provides a central view of the network itself. However, despite the advantages, SDN is prone to experience Single Point of Failure (SPOF) as it depends on the controller to handle the network. This paper aims to analyse the scalability of SDN in middle-sized network by measuring its throughput and latency. ONOS controller is observed over single topology and mesh topology by gradually increasing the number of nodes until it is supported by the system with optimum resource utilization. Results from these experiments shows that mesh topology has higher average throughput compared to single topology with 8.41% difference for minimum number of nodes (i.e. 50 nodes) and 12.11% difference for maximum number of nodes (i.e. 250 nodes). With a slight difference, it shows that the number of nodes can be added to more than 250 nodes in mesh topology with a balanced throughput. Meaning that it scales well if there is no constraint of limited resources.","PeriodicalId":234459,"journal":{"name":"2020 Emerging Technology in Computing, Communication and Electronics (ETCCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129143485","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

An Efficient Speech Emotion Recognition Using Ensemble Method of Supervised Classifiers 基于监督分类器集成方法的高效语音情感识别

2020 Emerging Technology in Computing, Communication and Electronics (ETCCE) Pub Date : 2020-12-21 DOI: 10.1109/ETCCE51779.2020.9350913

Nasifa Tanjin Ira, Mohammad Osiur Rahman

{"title":"An Efficient Speech Emotion Recognition Using Ensemble Method of Supervised Classifiers","authors":"Nasifa Tanjin Ira, Mohammad Osiur Rahman","doi":"10.1109/ETCCE51779.2020.9350913","DOIUrl":"https://doi.org/10.1109/ETCCE51779.2020.9350913","url":null,"abstract":"Speech is the most natural way of expressing ourselves. Speech Emotion Recognition has become a significant research field that is used in many applications nowadays. Main precept of such research is to improve human machine interaction. This research accentuates on recognizing several emotions from audio speech. The work is done by extracting features and using these features in classifying emotions. Eight types of emotions such as neutral, fearful, happy, angry, sad, disgust, calm and surprised have been classified. Features have been extracted using Mel Frequency Cepstral Coefficents (MFCCs). There are six types of supervised classifiers - multilayer perceptron (MLP), Random Forest (RF), AdaBoost, support vector machine (SVM), Gradient Boosting (GB), and Hist Gradient Boosting (HGB) have been used for classification. In this research, a new method for emotion recognition from speech has been proposed. The accuracy rate of MLP, AdaBoost, SVM, Random Forest, Gradient Boosting, and Hist Gradient Boosting are 53%, 32%, 54%, 58%, 56% and 59%, respectively. Further investigation was performed using ensemble method which one is consists of RF, GB and HGB and the obtained accuracy rate is 70%. Precision, Recall and F1-Score were calculated for evaluation of accuracy. Finally, based on a comparative analysis among six classifiers and other existing methods, it is revealed that Ensemble Method is one of the best alternative techniques for emotion recognition from speech.","PeriodicalId":234459,"journal":{"name":"2020 Emerging Technology in Computing, Communication and Electronics (ETCCE)","volume":"274 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131470949","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: 4

Frequency Reconfigurable U-shaped and Inverted U-shaped Microstrip Patch Antenna Design using Pin Diode for S-band and C-band Applications 频率可重构u型和倒u型微带贴片天线s波段和c波段应用引脚二极管设计

2020 Emerging Technology in Computing, Communication and Electronics (ETCCE) Pub Date : 2020-12-21 DOI: 10.1109/ETCCE51779.2020.9350917

Md. Abdullah-al-mamun, M. Anower, Sham Datto, Md. Rashed Billah

引用次数: 1

Components of Smart Chatbot Academic Model for a University Website 某高校网站智能聊天机器人学术模型的组成部分

2020 Emerging Technology in Computing, Communication and Electronics (ETCCE) Pub Date : 2020-12-21 DOI: 10.1109/ETCCE51779.2020.9350903

Siti Nazurah Mohd Sau Pi, M. Majid

{"title":"Components of Smart Chatbot Academic Model for a University Website","authors":"Siti Nazurah Mohd Sau Pi, M. Majid","doi":"10.1109/ETCCE51779.2020.9350903","DOIUrl":"https://doi.org/10.1109/ETCCE51779.2020.9350903","url":null,"abstract":"In current days, Chatbot has been increasingly in demand and become popular among the communities of media, end-users, and even vendors. There are two types of Chatbot which are Smart Chatbot and Simple Chatbot. The Smart Chatbot provides more functions and it is the most used in current days. As the Smart Chatbot has becomes the tool that eases the interaction between the human and the site, most of the companies, institutions, and even the individual have look for it. This is including the universities. Having a Chatbot embedded in the University Website is able to increase the service level and the interaction between the stakeholders and the university itself. However, there is lacking in the guideline on the general or core components that must have before developing a Smart Chatbot for the University Websites. Hence, to overcome the problem, this paper comes out with a research study on identifying the components needed in developing a Smart Chatbot for University Website. For now, the research work is focusing on the academic category only on the website. As the first step of the research process, the list of components of the Smart Chatbot Academic model was gained through Literature Review from the year 2017 to 2020. The identified components will be next evaluated through a survey process. The idea of the work is to develop a Smart Chatbot Academic model that will be significant as a guideline for the University to develop its own Smart Chatbot.","PeriodicalId":234459,"journal":{"name":"2020 Emerging Technology in Computing, Communication and Electronics (ETCCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129998350","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

Bangla Broadcast Speech Recognition Using Support Vector Machine 基于支持向量机的孟加拉语广播语音识别

2020 Emerging Technology in Computing, Communication and Electronics (ETCCE) Pub Date : 2020-12-21 DOI: 10.1109/ETCCE51779.2020.9350865

R. Swarna

引用次数: 0

An Extension of Heuristic Algorithm for Reconstructing Multiple Haplotypes with Minimum Error Correction 基于最小误差修正的多单倍型重构启发式算法的扩展

2020 Emerging Technology in Computing, Communication and Electronics (ETCCE) Pub Date : 2020-12-21 DOI: 10.1109/ETCCE51779.2020.9350874

M. Hossain, A. Abdullah, P. C. Shill

{"title":"An Extension of Heuristic Algorithm for Reconstructing Multiple Haplotypes with Minimum Error Correction","authors":"M. Hossain, A. Abdullah, P. C. Shill","doi":"10.1109/ETCCE51779.2020.9350874","DOIUrl":"https://doi.org/10.1109/ETCCE51779.2020.9350874","url":null,"abstract":"Human DNA consists of two copies of each chromosome. The haplotype assembly problem focuses on the reconstruction of two sets of haplotypes (chromosomes) from aligned fragments of the genome sequence. Plants like rice, wheat, and banana consist of more than two chromosomes which mean multiple haplotypes. Reconstructing multiple haplotypes has become an intense research interest. There are several models that have been developed for the reconstruction of multiple haplotypes from a polyploid genome. The computational challenge still attracts researchers. We are extending the heuristic algorithm for individual haplotyping in order to reconstruct multiple haplotypes for a polyploid organism so that the number of errors among the groups of DNA reads is minimum. We are using a metric that determines the read or fragment which fits for none of the constructed groups and it results in the creation of a new group. Experimental results on real and simulated data and their comparison with existing models show that our model can reconstruct multiple groups with less computational time and memory usage.","PeriodicalId":234459,"journal":{"name":"2020 Emerging Technology in Computing, Communication and Electronics (ETCCE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132154113","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: 1

Spiral-based Manta Ray Foraging Optimization to Optimize PID Control of a Flexible Manipulator 基于螺旋的蝠鲼觅食优化柔性机械臂PID控制

2020 Emerging Technology in Computing, Communication and Electronics (ETCCE) Pub Date : 2020-12-21 DOI: 10.1109/ETCCE51779.2020.9350871

A. Razak, A. Nasir, N. Ghani, Nurul Amira Mhd Rizal, M. Jusof, Ikhwan Hafiz Muhamad

{"title":"Spiral-based Manta Ray Foraging Optimization to Optimize PID Control of a Flexible Manipulator","authors":"A. Razak, A. Nasir, N. Ghani, Nurul Amira Mhd Rizal, M. Jusof, Ikhwan Hafiz Muhamad","doi":"10.1109/ETCCE51779.2020.9350871","DOIUrl":"https://doi.org/10.1109/ETCCE51779.2020.9350871","url":null,"abstract":"This paper presents a Spiral-based Manta Ray Foraging Algorithm (SMRFO). It is an improvement of Manta Ray Foraging Algorithm (MRFO). The original MRFO has a competitive performance in terms of its accuracy in locating an optimal solution. Its performance can be improved further provided the balanced exploration and exploitation strategies throughout a search operation are improved. A modification in the Somersault phase of the MRFO is proposed. A spiral strategy is incorporated into the Somersault phase of the MRFO. This is to guide all agents toward the best agent in spiral-based trajectory in every iteration. The spiral strategy also offers a dynamic step size scheme for all search agents during the operation. The proposed algorithm is tested on a set of benchmark functions that consist of various fitness landscapes. In terms of solving an engineering application, the proposed algorithm is applied to optimize a PID controller for a flexible manipulator system. Result of the accuracy performance test on benchmark functions shows that the proposed algorithm outperforms the original MRFO significantly. In solving the engineering problem, both SMRFO and MRFO optimize the PID control adequately good. The SMRFO-PID control tracks the bang-bang test input better than the MRFO-PID. It confirms the superiority of the SMRFO over the MRFO.","PeriodicalId":234459,"journal":{"name":"2020 Emerging Technology in Computing, Communication and Electronics (ETCCE)","volume":"483 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127009324","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: 5

Towards Developing an Automated Attendance Management System using Fingerprint Sensor 基于指纹传感器的考勤管理系统的开发

2020 Emerging Technology in Computing, Communication and Electronics (ETCCE) Pub Date : 2020-12-21 DOI: 10.1109/ETCCE51779.2020.9350882

N. Khan, Sumaiya Nuha Mustafina, Farzana Faruk Jhumu, A.H.M Zobyer, Masrur Hasan Mahin, Md. Ariful Islam Tarek, Raiyan Rahman, M. Islam

引用次数: 1