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2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI)最新文献

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Description and Recognition of Symmetrical and Freely Oriented Images Based on Parallel Shift Technology 基于并行移位技术的对称自由定向图像描述与识别
2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI) Pub Date : 2018-08-01 DOI: 10.1109/MCSI.2018.00028
S. Bilan, S. Al-zoubi, S. Yuzhakov, Mykola Bilan
{"title":"Description and Recognition of Symmetrical and Freely Oriented Images Based on Parallel Shift Technology","authors":"S. Bilan, S. Al-zoubi, S. Yuzhakov, Mykola Bilan","doi":"10.1109/MCSI.2018.00028","DOIUrl":"https://doi.org/10.1109/MCSI.2018.00028","url":null,"abstract":"The method of description and recognition of images based on the technology of parallel shift is described. The parallel shift technology allows to form only one characteristic for describing of images. This feature is the area of the image, which is determined by the number of cells belonging to the image. The main characteristics of the complex image area are described. The problem of using parallel shift technology is the inability to recognize symmetrical images and images with free orientation. In accordance with the problem in the paper a method is described that allows to recognize the orientation of the image, as well as recognize symmetrical images that have the same functions of area of intersection. To solve the problem, additional elements are introduced on one of the edges of the image, which in a small amount distinguish it from the original image, and additional quantitative characteristics of the area are introduced. The additional elements are introduced only on one of the edges of the image for all images at the system input. For each rotated and symmetrical image with equal functions, the intersection areas a new intersection functions are defined. Differences in the functions of the areas of intersection of both images are determined and on the based on the obtained quantitative characteristics of the function of the area of intersection of the images the shape of the image are determined. To form the intersection function of the areas of the modified image, the number of shifts is increased by one, and also the function change occurs at each step in accordance with the introduced additional elements. The conducted research showed high reliability of image recognition.","PeriodicalId":410941,"journal":{"name":"2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115744065","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
Inventory Classification Using Fuzzy Approach 基于模糊方法的库存分类
2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI) Pub Date : 2018-08-01 DOI: 10.1109/MCSI.2018.00033
Mahuya Deb, Prabjot Kaur, K. K. Sarma, N. Mastorakis
{"title":"Inventory Classification Using Fuzzy Approach","authors":"Mahuya Deb, Prabjot Kaur, K. K. Sarma, N. Mastorakis","doi":"10.1109/MCSI.2018.00033","DOIUrl":"https://doi.org/10.1109/MCSI.2018.00033","url":null,"abstract":"Inventory Analysis and Control has become inevitable for a manufacturing industry. Among the various items of inventory not all are of equal importance and therefore decisions as to when and how many to buy or make can be taken by classifying the inventory items based on values. For this evaluation, ABC inventory classification which is one of the most commonly used approaches is considered. The data is taken from the manufacturing sector of Usha Martin Ltd, a leading manufacturer of wire strands located in Jharkhand. Through this paper an attempt is made to use fuzzy membership degrees in segregating the inventory into various classes based on the valuation of the items. This would therefore provide useful insights to the company for proper maintenance of their inventory stock based on the importance of the items.","PeriodicalId":410941,"journal":{"name":"2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132123810","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
AE and SAE Based Aircraft Image Denoising 基于AE和SAE的飞机图像去噪
2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI) Pub Date : 2018-08-01 DOI: 10.1109/MCSI.2018.00027
Mridusmita Sharma, K. K. Sarma, N. Mastorakis
{"title":"AE and SAE Based Aircraft Image Denoising","authors":"Mridusmita Sharma, K. K. Sarma, N. Mastorakis","doi":"10.1109/MCSI.2018.00027","DOIUrl":"https://doi.org/10.1109/MCSI.2018.00027","url":null,"abstract":"Images are corrupted during transmission and acquisition. De-noising is an important image restoration operation which determines the accuracy of interpretation and recognition stages. Time and often traditional methods have been used for image de-noising. Lately, there has been considerably interest on learning aided image de-nosing. As deep learning has lately been established as the most efficient learning aided mechanism, it is increasingly being used for a range of image processing and computer vision applications. This paper focuses on the design of Auto-encoder (AE) and Stacked Auto-encoder (SAE) based approaches for de-noising of certain military aircrafts as part of an automatic target recognition (ASR) system. Five image types are taken for the work which are mixed with Gaussian, Poisson, Speckle, Salt and Pepper noise. For each of these image sets signal to noise ratio (SNR) variation between -3 to 10 dB are taken. Experimental results have show that the SAE based approach is more reliable despite showing higher computational latency.","PeriodicalId":410941,"journal":{"name":"2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123283317","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
Wavelet-Galerkin Method for Option Pricing under a Double Exponential Jump-Diffusion Model 双指数跳跃-扩散模型下期权定价的小波伽辽金方法
2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI) Pub Date : 2018-08-01 DOI: 10.1109/MCSI.2018.00037
D. Cerná
{"title":"Wavelet-Galerkin Method for Option Pricing under a Double Exponential Jump-Diffusion Model","authors":"D. Cerná","doi":"10.1109/MCSI.2018.00037","DOIUrl":"https://doi.org/10.1109/MCSI.2018.00037","url":null,"abstract":"The paper is concerned with pricing European options using a double exponential jump-diffusion model proposed by Kou in 2002. The Kou model is represented by nonstationary partial integro-differential equation. We use the Crank-Nicolson scheme for semidiscretization in time and the Galerkin method with cubic spline wavelets for solving integro-differential equation at each time level. We show the decay of elements of the matrices arising from discretization of the integral term of the equation. Due to this decay the discretization matrices can be truncated and represented by quasi-sparse matrices while the most standard methods suffer from the fact that the discretization matrices are full. Since the basis functions are piecewise cubic we obtain a high order convergence and the problem can be resolved with the small number of degrees of freedom. We present a numerical example for a European put option and we compare the results with other methods.","PeriodicalId":410941,"journal":{"name":"2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115295147","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
Information Retrieval - Based Solution for Software Requirements Classification and Mapping 基于信息检索的软件需求分类与映射解决方案
2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI) Pub Date : 2018-08-01 DOI: 10.1109/MCSI.2018.00042
N. Alhindawi
{"title":"Information Retrieval - Based Solution for Software Requirements Classification and Mapping","authors":"N. Alhindawi","doi":"10.1109/MCSI.2018.00042","DOIUrl":"https://doi.org/10.1109/MCSI.2018.00042","url":null,"abstract":"in software engineering, the process of requirements elicitation and specification is considered as a base for all other development process. This means that any fault or mistake in the requirements definition will negatively affect the whole process of software development and consequently affect the cost, time, and effort of the developers and users. Traditionally, the process of requirement elicitation and categorization was done manually and based on the experience of the developers. However, a lot of problem came up because of the absence of automatic approaches. This paper presents a novel approach to improve the process of software requirements classification and mapping. An Information Retrieval (IR) method, namely Latent Drichelt Allocation (LDA) will be used for classification process. A corpus of software requirements also will be built to be used as input space for LDA algorithm. Typically, each requirement will have a corresponding document in the corpus. We conducted two distinct experiments. The first one is to extract the topics of software requirements, and the second one is for mapping and linking any new requirement to the most existing relevant requirements. The results showed that the proposed approach overwhelmed the state-of-art approaches.","PeriodicalId":410941,"journal":{"name":"2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122385128","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
Numerical Efficiency Evaluation of a High Pressure Ratio Screw Compressor 高压比螺杆压缩机效率的数值评价
2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI) Pub Date : 2018-08-01 DOI: 10.1109/MCSI.2018.00009
Mălăel Ion, Drăgan Valeriu, Gherman Bogdan George, Porumbel Ionut, Şrban Alexandru Ştefan
{"title":"Numerical Efficiency Evaluation of a High Pressure Ratio Screw Compressor","authors":"Mălăel Ion, Drăgan Valeriu, Gherman Bogdan George, Porumbel Ionut, Şrban Alexandru Ştefan","doi":"10.1109/MCSI.2018.00009","DOIUrl":"https://doi.org/10.1109/MCSI.2018.00009","url":null,"abstract":"In this scientific paper, a numerical analysis was performed to determine the performances of an oil-injected screw compressor operating at high pressures. For this analysis was defined the computing domain composed from five subdomains, two rotors represented by the male rotor and the female rotor and three stators representing the suction side, pressure side and oil inlet subdomain. To generate the meshes for rotating domains we use the TwinMesh commercial software, dedicated software for positive-displacement volumetric machines. For flow modeling the Ansys CFX CFD software with The SST turbulence model was used. The analysis was unsteady and a subroutine done in Fortran was used for grids import. The results of this analysis are evaluated by looking at gas and oil massflow variations, power consumption and torque value for each rotor.","PeriodicalId":410941,"journal":{"name":"2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117147972","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
Identifying and Modeling the Impact of Cyber Threats in the Field of Cyber Risk Insurance 网络风险保险领域中网络威胁影响的识别和建模
2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI) Pub Date : 2018-08-01 DOI: 10.1109/MCSI.2018.00036
Lukáš Pavlík
{"title":"Identifying and Modeling the Impact of Cyber Threats in the Field of Cyber Risk Insurance","authors":"Lukáš Pavlík","doi":"10.1109/MCSI.2018.00036","DOIUrl":"https://doi.org/10.1109/MCSI.2018.00036","url":null,"abstract":"This paper describes a possible approach to modeling the impact of selected cyber threats in the field of providing cyber-risk insurance. It compares predefined organizational parameters in relation to cyber threats scenarios. The results show how the insurance company can approach the issue of organizational insurance and protect its information systems against cyber threats. Finally, it is a discussion on the possible use of this issue in cyber security.","PeriodicalId":410941,"journal":{"name":"2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123914262","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
Comparing Learning Management Systems from Popularity Point of View 从普及的角度比较学习管理系统
2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI) Pub Date : 2018-08-01 DOI: 10.1109/MCSI.2018.00040
N. Karadimas
{"title":"Comparing Learning Management Systems from Popularity Point of View","authors":"N. Karadimas","doi":"10.1109/MCSI.2018.00040","DOIUrl":"https://doi.org/10.1109/MCSI.2018.00040","url":null,"abstract":"The success of the e-learning has created a growing demand for the development of a number of either commercial or open-source Learning Management Systems (LMSs), which are widely used, in our days, in universities, colleges, companies, organizations and any other educational institutes. This paper presents and discuss thirty-eight (38) of the most important features in LMSs, which are critical to compare and evaluate the platforms between them. This work also focuses on the comparison of ten (10) most widely used LMSs according to these features from the point of their popularity.","PeriodicalId":410941,"journal":{"name":"2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124138851","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
Semantic Framework and Deep Learning Toolkit Collaboration for the Enhancement of the Decision Making in Agent-Based Marketplaces 语义框架和深度学习工具箱协作增强基于代理的市场中的决策
2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI) Pub Date : 2018-08-01 DOI: 10.1109/MCSI.2018.00039
Alexandros Nizamis, Paolo Vergori, D. Ioannidis, D. Tzovaras
{"title":"Semantic Framework and Deep Learning Toolkit Collaboration for the Enhancement of the Decision Making in Agent-Based Marketplaces","authors":"Alexandros Nizamis, Paolo Vergori, D. Ioannidis, D. Tzovaras","doi":"10.1109/MCSI.2018.00039","DOIUrl":"https://doi.org/10.1109/MCSI.2018.00039","url":null,"abstract":"Collaborative manufacturing ecosystems provide a high volume of data, collected from factories and commonly related to machine data, sensor measurements and production processes. Wide variations are noted in these data alongside with the data related to the supply-chain and transactions over the aforementioned ecosystems. Semantics and ontologies are commonly used in order to bridge variances in datasets. Furthermore, deep learning techniques perform different kind of analyses over such high volumes of data. This paper introduces a collaboration scheme between a Semantic Framework and a Deep Learning Toolkit. More precisely, this work describes how the ecosystem’s data were modeled and stored using ontologies, became available and analyzed by the continuous learning algorithms of the Deep Learning Toolkit and finally how they are sent back to the Semantic Framework, enhancing a semantic matchmaker’s efficiency in order to support the automated decision making inside the collaborative ecosystem.","PeriodicalId":410941,"journal":{"name":"2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124158785","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
An Investigation Study Considering the Effect of Magnet Type, Slot Type and Pole-Arc to Pole-Pitch Ratio Variation on PM Brushless DC Motor Design 考虑磁体类型、槽型和极弧/极螺距比变化对永磁无刷直流电动机设计影响的调查研究
2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI) Pub Date : 2018-08-01 DOI: 10.1109/MCSI.2018.00010
Y. L. Karnavas, I. Chasiotis, A. Gkiokas
{"title":"An Investigation Study Considering the Effect of Magnet Type, Slot Type and Pole-Arc to Pole-Pitch Ratio Variation on PM Brushless DC Motor Design","authors":"Y. L. Karnavas, I. Chasiotis, A. Gkiokas","doi":"10.1109/MCSI.2018.00010","DOIUrl":"https://doi.org/10.1109/MCSI.2018.00010","url":null,"abstract":"This paper deals with a sensitivity study of an outer rotor permanent magnet (PM) brushless DC (BLDC) motor design, concerning the effect of several parameters and factors on its corresponding performance. For the purposes of this study, several design features were considered regarding the type and size of the permanent magnets and the slot geometry. Moreover, the pole-arc to pole-pitch ratio variation was investigated. The primarily aim is to draw useful conclusions for the motor overall performance according to preset requirements, such as the rated speed, motor efficiency, output power, cogging torque, overall motor weight etc. The obtained results were validated through simulations using finite element method (FEM) analysis with the aid of commercial software. The concluded remarks reveal important considerations which have to be taken into account by the designer prior and through the design phase of a BLDC motor.","PeriodicalId":410941,"journal":{"name":"2018 5th International Conference on Mathematics and Computers in Sciences and Industry (MCSI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116695835","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
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