2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)最新文献_第4页

A Privacy-Aware Digital Voting System employing Blockchain and Smart Contracts 采用区块链和智能合约的隐私意识数字投票系统

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411634

Syada Tasmia Alvi, M.N. Uddin, Linta Islam, Sajib Ahamed

{"title":"A Privacy-Aware Digital Voting System employing Blockchain and Smart Contracts","authors":"Syada Tasmia Alvi, M.N. Uddin, Linta Islam, Sajib Ahamed","doi":"10.1109/CSDE50874.2020.9411634","DOIUrl":"https://doi.org/10.1109/CSDE50874.2020.9411634","url":null,"abstract":"Voting seem to be a very significant sign of political action, but it is very pathetic that a substantial majority of the world ‘s population do not have confidence in their voting system. There are different drawbacks and problems for a very long time in the conventional voting system. Several countries prefer to use a centralized voting process that may cause certain inconsistencies. The security and transparency issue is a challenge to the traditional structure from worldwide elections. One of the solutions to all of these challenges is Blockchain technology. New ideas are being provided to create new forms of digital services. Since it strains a decentralized structure and multiple people own the whole database system. Blockchain will reduce the deception of database abuse by implementing blockchain in a voting framework. In order to ensure a safe voting system, we have proposed a blockchain-based distributed infrastructure that offers fairness, transparency and flexibility over the current system. To assess our protocol, we have implemented it on Ethereum and done performance analysis based on security properties and gas cost.","PeriodicalId":445708,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129583046","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

A Conceptual Framework for Generalised Audit Software Adoption in Saudi Arabia by Government Internal Auditing Departments using an Integrated Institutional Theory-TOE Model 基于综合制度理论- toe模型的沙特阿拉伯政府内部审计部门采用通用审计软件的概念框架

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411556

Abdulwahab Mujalli, Ahmed Almgrashi

{"title":"A Conceptual Framework for Generalised Audit Software Adoption in Saudi Arabia by Government Internal Auditing Departments using an Integrated Institutional Theory-TOE Model","authors":"Abdulwahab Mujalli, Ahmed Almgrashi","doi":"10.1109/CSDE50874.2020.9411556","DOIUrl":"https://doi.org/10.1109/CSDE50874.2020.9411556","url":null,"abstract":"This paper proposes a conceptual framework for enhancing audit software (GAS) adoption in Saudi Arabia by internal auditing departments in public decision making. GAS is specialized software that assists the internal auditor in automating assignments, including client risk assessment. Many government institutions are now shifting to e-business and executing information systems (IS). This phenomenon has provided influence to the audit profession in terms of carrying out IT audits, financial report audits and electronic source document findings. GAS represents auditing technologies that permit IT audit activities to be executed effectively and professionally, while decreasing the time spent. Nevertheless, there is little known about the adoption of GAS by public sector organisations. This study provides a paradigm by a combination of a Technology-Organisation-Environment (TOE) model and institutional theory, which are utilised as underlying theories. A comprehensive review of the related literature is also performed. The theoretical foundation for the development of the conceptual model is discussed. This leads to the development of specific hypotheses to be examined and validated for better comprehension on how to adopt GAS in internal auditing departments within Saudi public organizations. This study contributes to the IS literature by proposing a conceptual framework for improving the decision-making of government auditing departments. This is a conceptual paper and it is ongoing project.","PeriodicalId":445708,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124957815","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 Exploration of Clicking-on LBA Decision 点击LBA决策的探索

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411613

Hengdong Yang, Shiang-Lin Lin, Bo-Yi Li

引用次数: 0

The Evolving Architecture of a National Platform for Urban Research in Australia 澳大利亚国家城市研究平台的演进架构

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411522

R. Sinnott, L. Morandini, Christopher Bayliss, Philip Greenwood, Ghazal Karami, Hossein Pursultani

{"title":"The Evolving Architecture of a National Platform for Urban Research in Australia","authors":"R. Sinnott, L. Morandini, Christopher Bayliss, Philip Greenwood, Ghazal Karami, Hossein Pursultani","doi":"10.1109/CSDE50874.2020.9411522","DOIUrl":"https://doi.org/10.1109/CSDE50874.2020.9411522","url":null,"abstract":"The Australian Urban Research Infrastructure Network (AURIN – www.aurin.org.au) is a national platform in Australia to support research into the urban and built environment. AURIN is supported through the federally funded National Collaboration Research Infrastructure Strategy (NCRIS) initiative. The AURIN project has now been running for over ten years. The web-based platform offers a single-sign on portal and associated Cloud-based e-Infrastructure that provides seamless/transparent and secure access to (at present) over 5,500 (typically definitive) data sets from 139 major organisations crossing government, industry and academia with a multitude of analytical tools reflecting best practice urban analytics. The AURIN project commenced in 2010, and in that time the platform has been accessed and used over 250,000 times. There has been increased user growth in the last few years and with it, expectations on the platform scaling to deal with this increased demand. To tackle this, the architecture and realization of the platform has evolved. This paper describes the evolution of the platform from the early prototype, to the production level system that has been running for many years and plans for the next generation of the platform through use of container technologies (Docker) and associated container orchestration technologies such as Kubernetes for auto-scaling. The paper describes benchmarking experiments and results for one of the key AURIN components used for remote data access: a next generation data provider.","PeriodicalId":445708,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127845562","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

Causal Convolutional Neural Network-Based Kalman Filter for Speech Enhancement 基于因果卷积神经网络的语音增强卡尔曼滤波

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411565

S. Roy, K. Paliwal

{"title":"Causal Convolutional Neural Network-Based Kalman Filter for Speech Enhancement","authors":"S. Roy, K. Paliwal","doi":"10.1109/CSDE50874.2020.9411565","DOIUrl":"https://doi.org/10.1109/CSDE50874.2020.9411565","url":null,"abstract":"Speech enhancement using Kalman filter (KF) suffers from inaccurate estimates of the noise variance and the linear prediction coefficients (LPCs) in real-life noise conditions. This causes a degraded speech enhancement performance. In this paper, a causal convolutional neural network (CCNN) model is used to more accurately estimate the noise variance and LPC parameters of the KF for speech enhancement in real-life noise conditions. Specifically, a CCNN model gives an instantaneous estimate of the noise waveform for each noisy speech frame to compute the noise variance. Each noisy speech frame is pre-whitened by a whitening filter, which is constructed with the coefficients computed from the estimated noise. The LPC parameters are computed from the pre-whitened speech. The improved noise variance and LPCs enables the KF to minimize residual noise as well as distortion in the enhanced speech. Objective and subjective testing on NOIZEUS corpus reveal that the enhanced speech produced by the proposed method exhibits higher quality and intelligibility than some benchmark methods in various noise conditions for a wide range of SNR levels.","PeriodicalId":445708,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126958834","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

The use of Automatic Speech Recognition in Education for Identifying Attitudes of the Speakers 语音自动识别在教育中识别说话人态度的应用

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411528

Lomthandazo Matsane, Ashwini Jadhav, Ritesh Ajoodha

{"title":"The use of Automatic Speech Recognition in Education for Identifying Attitudes of the Speakers","authors":"Lomthandazo Matsane, Ashwini Jadhav, Ritesh Ajoodha","doi":"10.1109/CSDE50874.2020.9411528","DOIUrl":"https://doi.org/10.1109/CSDE50874.2020.9411528","url":null,"abstract":"State-of-the-art Automatic Speech Recognition (ASR) systems convert the spoken words into a corresponding text. One of the problems faced in ASR is that speakers have a different way of pronouncing words, and their accents are different from one speaker to another due to age, gender, nationality, rapidity of words, expressive form of the speaker. This paper uses two data sets, Surrey Audio-Visual Expressed Emotion (SAVEE) and The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) data sets to determine the effect of the tone in the learning environment by using the ASR and check which classifier is giving the best result. Feature such energy, Mel filter Central coefficients, energy etc. were extracted using jAudio and Waikato Environment for Knowledge Analysis (WEKA) data mining tools was used for classification. Classifiers called multilayer Perceptron (MLP) neural network model, Support Vector Machines (SVM), Simple Logistic Regression (SLR), K-Nearest Neighbour (K-NN) and Random Forests (RF) was used to obtain the results of the emotion state for the both data sets. The data sets used to train the classifiers are in ARFF format. The results show that SAVEE data sets overcomes RAVDESS data sets in overall emotion classification performance. The result shows that RF performed better than the other classifier. The performance of classification models is evaluated in WEKA using 10-fold cross validation. The presented study examines seven emotions- anger, happiness, sadness, fear, surprise, disgust and neutral.","PeriodicalId":445708,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126983265","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

Performance Evaluation of Aloha and CSMA for LoRaWAN Network LoRaWAN网络中Aloha和CSMA的性能评估

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411539

Mounika Baddula, B. Ray, Morshed U. Chowdhury

{"title":"Performance Evaluation of Aloha and CSMA for LoRaWAN Network","authors":"Mounika Baddula, B. Ray, Morshed U. Chowdhury","doi":"10.1109/CSDE50874.2020.9411539","DOIUrl":"https://doi.org/10.1109/CSDE50874.2020.9411539","url":null,"abstract":"Due to characteristics, like low power usages, long range and low cost, Long Range Wide Area Network (LoRaWAN) is the finest choice for many Internet of Things (IoT) applications. The Long Range Wide Area Network (LoRaWAN) reconcile with simple MAC layer protocol called Aloha which helps to reduces the battery lifetime but all the transmissions in the network will occur at same time which increases collisions between the packets and decreases network performance heavily. Because of this we evaluated the performance of LoRaWAN with Carrier Sense Multiple Access (CSMA) for coalition avoidance. We have simulated LoRaWAN-Aloha and LoRaWAN-CSMA/CA in multiple networking conditions by changing network load, spreading factors, distance between gateway and sensors to investigate the network performance and energy consumption. The simulation result let us evaluate and compare between CSMA and Aloha on collision ratio, network success probability and energy consumption per node. The performance evaluation shows, the LoRaWAN-CSMA/CA could be better choice, compare to LoRaWAN-Aloha, for large IoT network with strong scalability requirement. Whereas LoRaWANAloha would be a better choice for a small scale and static IoT network.","PeriodicalId":445708,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130509294","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: 7

Reducing Wrong Labels using Conflict Score in Distant Supervision for Relation Extraction in Bangla Language 基于冲突评分的孟加拉语关系抽取远程监督减少错误标签

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411604

Tanzim Mahfuz, T. Suha, M. Anwar

引用次数: 1

Random Forest Classifier for Detecting Credit Card Fraud based on Performance Metrics 基于性能指标的信用卡欺诈检测随机森林分类器

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411563

Maung Hein Aung, Penelope Tane Seluka, Jean Tiana Rose Fuata, Maria Josephine Tikoisuva, Matalita Seremana Cabealawa, Ravneil Nand

{"title":"Random Forest Classifier for Detecting Credit Card Fraud based on Performance Metrics","authors":"Maung Hein Aung, Penelope Tane Seluka, Jean Tiana Rose Fuata, Maria Josephine Tikoisuva, Matalita Seremana Cabealawa, Ravneil Nand","doi":"10.1109/CSDE50874.2020.9411563","DOIUrl":"https://doi.org/10.1109/CSDE50874.2020.9411563","url":null,"abstract":"There are many classification algorithms available, however, one classifier that can be used for a problem domain with paramount accuracy is hard to find. Classification algorithm is a technique used to map data into known classes or outputs. A problem area that has seen a lot of application of classification algorithm is the Credit Card Fraud. Credit card fraud is not a new area that needs exploration but still there is scope to narrow down the best classification algorithm to rely upon to detect frauds in real time. In this paper, the focus is on investigating and determining which classification algorithm is the best one for detecting Credit Card Fraud through benchmark datasets. It has been found that Random Forest has the best accuracy when compared to other classifiers. The study would assist researchers in choosing the best classification scheme with the guideline provided for any credit card fraud dataset. The two datasets used in this research are imbalanced datasets, therefore, for better comparison of the algorithms, a balanced set is also used. The balancing of dataset is done through Synthetic Minority Oversampling Technique (SMOT). The comparison of results is done on 6 algorithms, namely, Random Forest, Logistic Regression, Neural Networks, Support Vector Machines (SVMs), Naive Bayes and K-Nearest Neighbor (KNN). The results are compared through two software; Weka and Python. The outcome of the experiment show that the methodology is indeed of great assistance in any practical applications.","PeriodicalId":445708,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128294525","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

Maximizing Energy Performance Through Innovative Sustainable Design 通过创新的可持续设计最大限度地提高能源性能

2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) Pub Date : 2020-12-16 DOI: 10.1109/CSDE50874.2020.9411631

K. Jaafar, Sisizakele Kubheka

{"title":"Maximizing Energy Performance Through Innovative Sustainable Design","authors":"K. Jaafar, Sisizakele Kubheka","doi":"10.1109/CSDE50874.2020.9411631","DOIUrl":"https://doi.org/10.1109/CSDE50874.2020.9411631","url":null,"abstract":"The study reveals the impact of sustainable design choices applied in a residential building context and assesses its impact on a building’s environmental performance. The study demonstrates that great potential for sustainable construction success lies in the choice of appropriate design for the energy performance outcomes of building structures.Previously, construction projects have focused on improving time and cost objectives, however, due to heightened industry sensitivity towards sustainability related to the impacts of buildings on the environment, throughout their lifecycle, “sustainable construction” is becoming far more relevant. With this drive in the built environment, the government, clients and council bodies are prioritizing sustainability compliance and incorporation within their updated building codes, by-laws, and practices within their jurisdictions.This observation necessitates the need for developers and industry professionals to carefully consider how buildings are designed and built to achieve sustainability and effectively consider the performance and characteristics of the materials used.","PeriodicalId":445708,"journal":{"name":"2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132122966","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