Open Computer Science最新文献_第7页

The effect of hyperparameter search on artificial neural network in human activity recognition 超参数搜索对人工神经网络在人体活动识别中的作用

IF 1.5

Open Computer Science Pub Date : 2021-01-01 DOI: 10.1515/comp-2020-0227

J. Suto

引用次数: 4

The look at the various uses of VR 看看VR的各种用途

IF 1.5

Open Computer Science Pub Date : 2021-01-01 DOI: 10.1515/comp-2020-0123

P. Voštinár, D. Horváthová, Martin Mitter, M. Bako

引用次数: 6

Lévy flight and chaos theory-based gravitational search algorithm for mechanical and structural engineering design optimization 基于lsamvy飞行和混沌理论的重力搜索算法在机械结构工程设计优化中的应用

IF 1.5

Open Computer Science Pub Date : 2021-01-01 DOI: 10.1515/comp-2020-0223

Sajad Ahmad Rather, Perumal Shanthi Bala

{"title":"Lévy flight and chaos theory-based gravitational search algorithm for mechanical and structural engineering design optimization","authors":"Sajad Ahmad Rather, Perumal Shanthi Bala","doi":"10.1515/comp-2020-0223","DOIUrl":"https://doi.org/10.1515/comp-2020-0223","url":null,"abstract":"Abstract The main aim of this article is to explore the real-life problem-solving potential of the proposed Lévy flight-based chaotic gravitational search algorithm (LCGSA) for the minimization of engineering design variables of speed reducer design (SRD), three bar truss design (TBTD), and hydrodynamic thrust bearing design (HTBD) problems. In LCGSA, the diversification of the search space is carried out by Lévy flight distribution. Simultaneously, chaotic maps have been utilized for the intensification of the candidate solutions towards the global optimum. Moreover, the penalty function method has been used to deal with the non-linear and fractional design constraints. The investigation of experimental outcomes has been performed through various performance metrics like statistical measures, run time analysis, convergence rate, and box plot analysis. Moreover, statistical verification of experimental results is carried out using a signed Wilcoxon rank-sum test. Furthermore, eleven heuristic algorithms were employed for comparative analysis of the simulation results. The simulation outcomes clearly show that LCGSA provides better values for TBTD and HTBD benchmarks than standard GSA and most of the competing algorithms. Besides, all the participating algorithms, including LCGSA, have the same results for the SRD problem. On the qualitative side, LCGSA has successfully resolved entrapment in local minima and convergence issues of standard GSA.","PeriodicalId":43014,"journal":{"name":"Open Computer Science","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43649917","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

Towards a Formal Specification of Production Processes Suitable for Automatic Execution 制定适合自动执行的生产过程的正式规范

IF 1.5

Open Computer Science Pub Date : 2021-01-01 DOI: 10.1515/comp-2020-0200

Marko Vještica, Vladimir Dimitrieski, M. Pisarić, Slavica Kordić, S. Ristić, I. Luković

{"title":"Towards a Formal Specification of Production Processes Suitable for Automatic Execution","authors":"Marko Vještica, Vladimir Dimitrieski, M. Pisarić, Slavica Kordić, S. Ristić, I. Luković","doi":"10.1515/comp-2020-0200","DOIUrl":"https://doi.org/10.1515/comp-2020-0200","url":null,"abstract":"Abstract Technological advances and increasing customer need for highly customized products have triggered a fourth industrial revolution. A digital revolution in the manufacturing industry is enforced by introducing smart devices and knowledge bases to form intelligent manufacturing information systems. One of the goals of the digital revolution is to allow flexibility of smart factories by automating shop floor changes based on the changes in input production processes and ordered products. In order to make this possible, a formal language to describe production processes is needed, together with a code generator for its models and an engine to execute the code on smart devices. Existing process modeling languages are not usually tailored to model production processes, especially if models are needed for automatic code generation. In this paper we propose a research on Industry 4.0 manufacturing using a Domain-Specific Modeling Language (DSML) within a Model-Driven Software Development (MDSD) approach to model production processes. The models would be used to generate instructions to smart devices and human workers, and gather a feedback from them during the process execution. A pilot comparative analysis of three modeling languages that are commonly used for process modeling is given with the goal of identifying supported modeling concepts, good practices and usage patterns.","PeriodicalId":43014,"journal":{"name":"Open Computer Science","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/comp-2020-0200","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48936533","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: 9

Natural mapping between voice commands and APIs 语音命令和API之间的自然映射

IF 1.5

Open Computer Science Pub Date : 2021-01-01 DOI: 10.1515/comp-2020-0125

Matúš Sulír, J. Porubän

引用次数: 0

Three Stream Network Model for Lung Cancer Classification in the CT Images CT图像肺癌分类的三流网络模型

IF 1.5

Open Computer Science Pub Date : 2021-01-01 DOI: 10.1515/comp-2020-0145

T. Arumuga Maria Devi, V. I. Mebin Jose

{"title":"Three Stream Network Model for Lung Cancer Classification in the CT Images","authors":"T. Arumuga Maria Devi, V. I. Mebin Jose","doi":"10.1515/comp-2020-0145","DOIUrl":"https://doi.org/10.1515/comp-2020-0145","url":null,"abstract":"Abstract Lung cancer is considered to be one of the deadly diseases that threaten the survival of human beings. It is a challenging task to identify lung cancer in its early stage from the medical images because of the ambiguity in the lung regions. This paper proposes a new architecture to detect lung cancer obtained from the CT images. The proposed architecture has a three-stream network to extract the manual and automated features from the images. Among these three streams, automated feature extraction as well as the classification is done using residual deep neural network and custom deep neural network. Whereas the manual features are the handcrafted features obtained using high and low-frequency sub-bands in the frequency domain that are classified using a Support Vector Machine Classifier. This makes the architecture robust enough to capture all the important features required to classify lung cancer from the input image. Hence, there is no chance of missing feature information. Finally, all the obtained prediction scores are combined by weighted based fusion. The experimental results show 98.2% classification accuracy which is relatively higher in comparison to other existing methods.","PeriodicalId":43014,"journal":{"name":"Open Computer Science","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/comp-2020-0145","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66887241","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

Hybrid lightweight Signcryption scheme for IoT 物联网的混合轻量级签密方案

IF 1.5

Open Computer Science Pub Date : 2021-01-01 DOI: 10.1515/comp-2020-0105

M. Sruthi, R. Rajasekaran

引用次数: 0

Segmentation of MRI Brain Tumor Image using Optimization based Deep Convolutional Neural networks (DCNN) 基于优化的深度卷积神经网络（DCNN）在MRI脑肿瘤图像分割中的应用

IF 1.5

Open Computer Science Pub Date : 2021-01-01 DOI: 10.1515/comp-2020-0166

P. K. Mishra, S. Satapathy, M. Rout

引用次数: 10

A big data framework for E-Government in Industry 4.0 工业4.0中的电子政务大数据框架

IF 1.5

Open Computer Science Pub Date : 2021-01-01 DOI: 10.1515/comp-2020-0191

Cuiping Long, Rashmi Agrawal, Ha Quoc Trung, H. Pham

{"title":"A big data framework for E-Government in Industry 4.0","authors":"Cuiping Long, Rashmi Agrawal, Ha Quoc Trung, H. Pham","doi":"10.1515/comp-2020-0191","DOIUrl":"https://doi.org/10.1515/comp-2020-0191","url":null,"abstract":"Abstract The next generation of E-Government and healthcare has the potential to increase the more intelligent governance with improvements in transparency, accountability, efficiency, and effectiveness. It enables organizations to use the benefits of information via big data analysis to settle the difficulties effectively. Big Data has emerged which plays a significant role in many sectors around the world. Global trends in taking advantage of the benefits from big data are considered with an overview of the US, European Union, and several developing countries. To deeply understand the utilization of big data in several domains, this study has presented a brief survey of key concepts (such as IoT-enabled data, blockchain-enabled data, and intelligent systems data) to deeply understand the utilization of big data in several domains. Our analysis sets out also the similarities and differences in these concepts. We have also surveyed state-of-the-art technologies including cloud computing, multi-cloud, webservice, and microservice which are used to exploit potential benefits of big data analytics. Furthermore, some typical big data frameworks are surveyed and a big data framework for E-Government is also proposed. Open research questions and challenges are highlighted (for researchers and developers) following our review. Our goal in presenting the novel concepts presented in this article is to promote creative ideas in the research endeavor to perform efficaciously next-generation E-Government in the context of Industry 4.0.","PeriodicalId":43014,"journal":{"name":"Open Computer Science","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49380930","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: 13

Digital Watermarking using Grasshopper Optimization Algorithm 基于Grasshopper优化算法的数字水印

IF 1.5

Open Computer Science Pub Date : 2021-01-01 DOI: 10.1515/comp-2019-0023

Satender Sharma, U. Chauhan, Ruqaiya Khanam, Krishnavir Singh

{"title":"Digital Watermarking using Grasshopper Optimization Algorithm","authors":"Satender Sharma, U. Chauhan, Ruqaiya Khanam, Krishnavir Singh","doi":"10.1515/comp-2019-0023","DOIUrl":"https://doi.org/10.1515/comp-2019-0023","url":null,"abstract":"Abstract The advancement in computer science technology has led to some serious concerns about the piracy and copyright of digital content. Digital watermarking technique is widely used for copyright protection and other similar applications. In this paper, a technique for digital watermarking based on Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and Grasshopper Optimization Algorithm (GOA) is proposed. The method computes the DWT of the cover image to obtain the sub-components of the image. The subcomponent is converted to frequency domain using DCT. The challenge is to find the optimal scaling factor to be used for watermarking. The authors have designed a GOA based technique that finds the optimized scaling factor and the coefficient for embedding the watermark. GOA makes the watermark undetectable and is invisible in the cover image. The watermark image is embedded in the cover image using these coefficients. The extraction of watermark from the cover image is done by using inverse DCT and DWT. The proposed method is compared with the other state of the art methods. The effectiveness of the proposed method is computed using Peak Signal to Noise Ratio (PSNR), Normalized Cross Correlation (NCC) and Image Fidelity (IF). The proposed method outperforms the other methods and can be effectively used for practical digital watermarking.","PeriodicalId":43014,"journal":{"name":"Open Computer Science","volume":null,"pages":null},"PeriodicalIF":1.5,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/comp-2019-0023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46644825","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