Applied Computer Systems最新文献_第8页

Evaluation of Fingerprint Selection Algorithms for Local Text Reuse Detection 局部文本重用检测中指纹选择算法的评价

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Applied Computer Systems Pub Date : 2020-05-01 DOI: 10.2478/acss-2020-0002

Gints Jēkabsons

{"title":"Evaluation of Fingerprint Selection Algorithms for Local Text Reuse Detection","authors":"Gints Jēkabsons","doi":"10.2478/acss-2020-0002","DOIUrl":"https://doi.org/10.2478/acss-2020-0002","url":null,"abstract":"Abstract Detection of local text reuse is central to a variety of applications, including plagiarism detection, origin detection, and information flow analysis. This paper evaluates and compares effectiveness of fingerprint selection algorithms for the source retrieval stage of local text reuse detection. In total, six algorithms are compared – Every p-th, 0 mod p, Winnowing, Hailstorm, Frequency-biased Winnowing (FBW), as well as the proposed modified version of FBW (MFBW). Most of the previously published studies in local text reuse detection are based on datasets having either artificially generated, long-sized, or unobfuscated text reuse. In this study, to evaluate performance of the algorithms, a new dataset has been built containing real text reuse cases from Bachelor and Master Theses (written in English in the field of computer science) where about half of the cases involve less than 1 % of document text while about two-thirds of the cases involve paraphrasing. In the performed experiments, the overall best detection quality is reached by Winnowing, 0 mod p, and MFBW. The proposed MFBW algorithm is a considerable improvement over FBW and becomes one of the best performing algorithms. The software developed for this study is freely available at the author’s website http://www.cs.rtu.lv/jekabsons/.","PeriodicalId":41960,"journal":{"name":"Applied Computer Systems","volume":"100 4-1 1","pages":"11 - 18"},"PeriodicalIF":1.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84455560","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

Hand Gesture Recognition in Video Sequences Using Deep Convolutional and Recurrent Neural Networks 基于深度卷积和循环神经网络的视频序列手势识别

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Applied Computer Systems Pub Date : 2020-05-01 DOI: 10.2478/acss-2020-0007

Falah Obaid, Amin Babadi, Ahmad Yoosofan

引用次数: 9

Efficient Performative Actions for E-Commerce Agents 电子商务代理的高效行为

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Applied Computer Systems Pub Date : 2020-05-01 DOI: 10.2478/acss-2020-0003

Awais Qasim, Hafiz Muhammad Basharat Ameen, Zeeshan Aziz, A. Khalid

{"title":"Efficient Performative Actions for E-Commerce Agents","authors":"Awais Qasim, Hafiz Muhammad Basharat Ameen, Zeeshan Aziz, A. Khalid","doi":"10.2478/acss-2020-0003","DOIUrl":"https://doi.org/10.2478/acss-2020-0003","url":null,"abstract":"Abstract The foundational features of multi-agent systems are communication and interaction with other agents. To achieve these features, agents have to transfer messages in the predefined format and semantics. The communication among these agents takes place with the help of ACL (Agent Communication Language). ACL is a predefined language for communication among agents that has been standardised by the FIPA (Foundation for Intelligent Physical Agent). FIPA-ACL defines different performatives for communication among the agents. These performatives are generic, and it becomes computationally expensive to use them for a specific domain like e-commerce. These performatives do not define the exact meaning of communication for any specific domain like e-commerce. In the present research, we introduced new performatives specifically for e-commerce domain. Our designed performatives are based on FIPA-ACL so that they can still support communication within diverse agent platforms. The proposed performatives are helpful in modelling e-commerce negotiation protocol applications using the paradigm of multi-agent systems for efficient communication. For exact semantic interpretation of the proposed performatives, we also performed formal modelling of these performatives using BNF. The primary objective of our research was to provide the negotiation facility to agents, working in an e-commerce domain, in a succinct way to reduce the number of negotiation messages, time consumption and network overhead on the platform. We used an e-commerce based bidding case study among agents to demonstrate the efficiency of our approach. The results showed that there was a lot of reduction in total time required for the bidding process.","PeriodicalId":41960,"journal":{"name":"Applied Computer Systems","volume":"27 1","pages":"19 - 32"},"PeriodicalIF":1.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79681918","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

Anemic Domain Model vs Rich Domain Model to Improve the Two-Hemisphere Model-Driven Approach 贫域模型与富域模型改进双半球模型驱动方法

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Applied Computer Systems Pub Date : 2020-05-01 DOI: 10.2478/acss-2020-0006

O. Ņikiforova, Konstantins Gusarovs

引用次数: 2

The Construction of Effective Multi-Dimensional Computer Designs of Experiments Based on a Quasi-Random Additive Recursive Rd-sequence 基于拟随机加性递归rd -序列的有效多维实验计算机设计的构建

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Applied Computer Systems Pub Date : 2020-05-01 DOI: 10.2478/acss-2020-0009

V. Halchenko, R. Trembovetska, V. Tychkov, A. Storchak

{"title":"The Construction of Effective Multi-Dimensional Computer Designs of Experiments Based on a Quasi-Random Additive Recursive Rd-sequence","authors":"V. Halchenko, R. Trembovetska, V. Tychkov, A. Storchak","doi":"10.2478/acss-2020-0009","DOIUrl":"https://doi.org/10.2478/acss-2020-0009","url":null,"abstract":"Abstract Uniform multi-dimensional designs of experiments for effective research in computer modelling are highly demanded. The combinations of several one-dimensional quasi-random sequences with a uniform distribution are used to create designs with high homogeneity, but their optimal choice is a separate problem, the solution of which is not trivial. It is believed that now the best results are achieved using Sobol’s LPτ-sequences, but this is not observed in all cases of their combinations. The authors proposed the creation of effective uniform designs with guaranteed acceptably low discrepancy using recursive Rd-sequences and not requiring additional research to find successful combinations of vectors set distributed in a single hypercube. The authors performed a comparative analysis of both approaches using indicators of centred and wrap-around discrepancies, graphical visualization based on Voronoi diagrams. The conclusion was drawn on the practical use of the proposed approach in cases where the requirements for the designs allowed restricting to its not ideal but close to it variant with low discrepancy, which was obtained automatically without additional research.","PeriodicalId":41960,"journal":{"name":"Applied Computer Systems","volume":"21 1","pages":"70 - 76"},"PeriodicalIF":1.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89933389","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: 8

Applying 3D U-Net Architecture to the Task of Multi-Organ Segmentation in Computed Tomography 三维U-Net结构在计算机断层扫描中多器官分割中的应用

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Applied Computer Systems Pub Date : 2020-05-01 DOI: 10.2478/acss-2020-0005

Pavlo Radiuk

{"title":"Applying 3D U-Net Architecture to the Task of Multi-Organ Segmentation in Computed Tomography","authors":"Pavlo Radiuk","doi":"10.2478/acss-2020-0005","DOIUrl":"https://doi.org/10.2478/acss-2020-0005","url":null,"abstract":"Abstract The achievement of high-precision segmentation in medical image analysis has been an active direction of research over the past decade. Significant success in medical imaging tasks has been feasible due to the employment of deep learning methods, including convolutional neural networks (CNNs). Convolutional architectures have been mostly applied to homogeneous medical datasets with separate organs. Nevertheless, the segmentation of volumetric medical images of several organs remains an open question. In this paper, we investigate fully convolutional neural networks (FCNs) and propose a modified 3D U-Net architecture devoted to the processing of computed tomography (CT) volumetric images in the automatic semantic segmentation tasks. To benchmark the architecture, we utilised the differentiable Sørensen-Dice similarity coefficient (SDSC) as a validation metric and optimised it on the training data by minimising the loss function. Our hand-crafted architecture was trained and tested on the manually compiled dataset of CT scans. The improved 3D UNet architecture achieved the average SDSC score of 84.8 % on testing subset among multiple abdominal organs. We also compared our architecture with recognised state-of-the-art results and demonstrated that 3D U-Net based architectures could achieve competitive performance and efficiency in the multi-organ segmentation task.","PeriodicalId":41960,"journal":{"name":"Applied Computer Systems","volume":"35 1","pages":"43 - 50"},"PeriodicalIF":1.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86612474","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: 12

Predicting Stock Market Price Movement Using Sentiment Analysis: Evidence From Ghana 用情绪分析预测股票市场价格走势:来自加纳的证据

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Applied Computer Systems Pub Date : 2020-05-01 DOI: 10.2478/acss-2020-0004

Isaac Kofi Nti, Adebayo Felix Adekoya, B. Weyori

{"title":"Predicting Stock Market Price Movement Using Sentiment Analysis: Evidence From Ghana","authors":"Isaac Kofi Nti, Adebayo Felix Adekoya, B. Weyori","doi":"10.2478/acss-2020-0004","DOIUrl":"https://doi.org/10.2478/acss-2020-0004","url":null,"abstract":"Abstract Predicting the stock market remains a challenging task due to the numerous influencing factors such as investor sentiment, firm performance, economic factors and social media sentiments. However, the profitability and economic advantage associated with accurate prediction of stock price draw the interest of academicians, economic, and financial analyst into researching in this field. Despite the improvement in stock prediction accuracy, the literature argues that prediction accuracy can be further improved beyond its current measure by looking for newer information sources particularly on the Internet. Using web news, financial tweets posted on Twitter, Google trends and forum discussions, the current study examines the association between public sentiments and the predictability of future stock price movement using Artificial Neural Network (ANN). We experimented the proposed predictive framework with stock data obtained from the Ghana Stock Exchange (GSE) between January 2010 and September 2019, and predicted the future stock value for a time window of 1 day, 7 days, 30 days, 60 days, and 90 days. We observed an accuracy of (49.4–52.95 %) based on Google trends, (55.5–60.05 %) based on Twitter, (41.52–41.77 %) based on forum post, (50.43–55.81 %) based on web news and (70.66–77.12 %) based on a combined dataset. Thus, we recorded an increase in prediction accuracy as several stock-related data sources were combined as input to our prediction model. We also established a high level of direct association between stock market behaviour and social networking sites. Therefore, based on the study outcome, we advised that stock market investors could utilise the information from web financial news, tweet, forum discussion, and Google trends to effectively perceive the future stock price movement and design effective portfolio/investment plans.","PeriodicalId":41960,"journal":{"name":"Applied Computer Systems","volume":"94 1","pages":"33 - 42"},"PeriodicalIF":1.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81611518","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: 28

Block-ED: The Proposed Blockchain Solution for Effectively Utilising Educational Resources Block-ED:有效利用教育资源的区块链方案建议

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Applied Computer Systems Pub Date : 2020-05-01 DOI: 10.2478/acss-2020-0001

Shareen Irshad, M. N. Brohi, Tariq Rahim Soomro

{"title":"Block-ED: The Proposed Blockchain Solution for Effectively Utilising Educational Resources","authors":"Shareen Irshad, M. N. Brohi, Tariq Rahim Soomro","doi":"10.2478/acss-2020-0001","DOIUrl":"https://doi.org/10.2478/acss-2020-0001","url":null,"abstract":"Abstract In this day and age, access to the Internet has become very easy, thereby providing access to different educational resources posted on the cloud even easier. Open access to resources, such as research journals, publications, articles in periodicals etc. is restricted to retain their authenticity and integrity, as well as to track and record their usage in the form of citations. This gives the author of the resource his fair share of credibility in the community, but this may not be the case with open educational resources such as lecture notes, presentations, test papers, reports etc. that are produced and used internally within an organisation or multiple organisations. This calls for the need to build a system that stores a permanent and immutable repository of these resources in addition to keeping a track record of who utilises them. Keeping in view the above-mentioned problem in mind, the present research attempts to explore how a Blockchain based system called Block-ED can be used to help the educational community manage their resources in a way to avoid any unauthorised manipulations or alterations to the documents, as well as recognise how this system can provide an innovative method of giving credibility to the creator of the resource whenever it is utilised.","PeriodicalId":41960,"journal":{"name":"Applied Computer Systems","volume":"81 5 1","pages":"1 - 10"},"PeriodicalIF":1.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75743265","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

A Prototype Model for Semantic Segmentation of Curvilinear Meandering Regions by Deconvolutional Neural Networks 基于反卷积神经网络的曲线曲流区域语义分割原型模型

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Applied Computer Systems Pub Date : 2020-05-01 DOI: 10.2478/acss-2020-0008

V. Romanuke

{"title":"A Prototype Model for Semantic Segmentation of Curvilinear Meandering Regions by Deconvolutional Neural Networks","authors":"V. Romanuke","doi":"10.2478/acss-2020-0008","DOIUrl":"https://doi.org/10.2478/acss-2020-0008","url":null,"abstract":"Abstract Deconvolutional neural networks are a very accurate tool for semantic image segmentation. Segmenting curvilinear meandering regions is a typical task in computer vision applied to navigational, civil engineering, and defence problems. In the study, such regions of interest are modelled as meandering transparent stripes whose width is not constant. The stripe on the white background is formed by the upper and lower non-parallel black curves so that the upper and lower image parts are completely separated. An algorithm of generating datasets of such regions is developed. It is revealed that deeper networks segment the regions more accurately. However, the segmentation is harder when the regions become bigger. This is why an alternative method of the region segmentation consisting in segmenting the upper and lower image parts by subsequently unifying the results is not effective. If the region of interest becomes bigger, it must be squeezed in order to avoid segmenting the empty image. Once the squeezed region is segmented, the image is conversely rescaled to the original view. To control the accuracy, the mean BF score having the least value among the other accuracy indicators should be maximised first.","PeriodicalId":41960,"journal":{"name":"Applied Computer Systems","volume":"1 1","pages":"62 - 69"},"PeriodicalIF":1.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80129673","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

Some Aspects of Good Practice for Safe Use of Wi-Fi, Based on Experiments and Standards 基于实验和标准的安全使用Wi-Fi良好做法的某些方面

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Applied Computer Systems Pub Date : 2019-12-01 DOI: 10.2478/acss-2019-0020

I. Gorbans, A. Jurenoks

引用次数: 2