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2018 14th International Conference on Electronics Computer and Computation (ICECCO)最新文献

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Numerical Modeling of ORE Body and Development Hydrodynamic Models of in-Situ Leaching Process 矿体数值模拟及原地浸出过程水动力开发模型
Pub Date : 2018-11-01 DOI: 10.1109/ICECCO.2018.8634795
B. Mukhanov, Z. Omirbekova, Y. Orakbayev, Madina Alimanova, Vladimir V.Pogrebnyak
the article proves the urgency of studying the models of the uranium mining process by the method of underground leaching, which will allow to evaluate the dynamics of the technological process. More and more attention is paid to the modeling of the process of underground leaching (ISL), with the aim of solving the problems of raising the effectiveness of the process under consideration. The problems of extraction of underground leaching are described, the current state and description of the technology, connection with management problems is very actual development of new systems using the simulation results of the ISL process in the control loop. The article considers that there is an optimal pressure on the pumping wells according to the chosen criterion. Models of searching for the solution of the required flow rate for a quench well providing the maximum productivity of the solution at the outlet are constructed. In the paper, the tasks of determining the initial hydrodynamic parameters of wells and seams after conducting special investigations of wells with the use of deep instruments and information measuring instruments are solved.
本文论证了研究地下浸出法铀矿开采过程模型的紧迫性,为评价地下浸出法铀矿开采过程动力学提供了理论依据。为了解决提高地下浸出过程有效性的问题,地下浸出过程的建模越来越受到人们的重视。对地下浸出过程中存在的问题进行了描述,对其技术现状进行了描述,并结合管理问题进行了非常实际的开发,利用ISL过程的仿真结果在控制回路中开发了新的系统。本文认为,根据所选择的准则,存在一个最优抽油井压力。建立了在出口溶液产量最大的情况下,寻找淬火井所需流量解的模型。本文解决了利用深部仪器和信息测量仪器对井进行专题调查后,确定井和煤层初始水动力参数的问题。
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引用次数: 0
Gesture Recognition Based on Sparse Reconstruction 基于稀疏重建的手势识别
Pub Date : 2018-11-01 DOI: 10.1109/ICECCO.2018.8634687
A. Aitimov, Cemil Turan, Zhasdauren Duisebekov
Due to the variety of feature extractions and classifiers, many different algorithms have been proposed for gesture recognition. In this paper, we work to increase the recognition performance in terms of recognition rate and execution time by using recently proposed modified sparse representation classifier based on intensity of images. Sparsity based classifier is compared with two conventional ones as K-nearest neighbor and random forest classifiers on gesture recognition. Simulation results showed that, our recognition algorithm based on sparsity has a higher performance than that of the others for both recognition rate and execution time.
由于特征提取和分类器的多样性,已经提出了许多不同的手势识别算法。在本文中,我们通过使用最近提出的基于图像强度的改进稀疏表示分类器,在识别率和执行时间方面提高了识别性能。将稀疏分类器与传统的k近邻分类器和随机森林分类器在手势识别上进行了比较。仿真结果表明,基于稀疏度的识别算法在识别率和执行时间上都优于其他算法。
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引用次数: 1
Sparse Representation Based Face Recognition Under Varying Illumination 基于稀疏表示的变光照下人脸识别
Pub Date : 2018-11-01 DOI: 10.1109/ICECCO.2018.8634755
Cemil Turan, R. Jantayev
Illumination with different lighting levels or angles is an important problem for classification of an individual in face recognition. To overcome this issue, generally classification algorithms are applied after pre-processing of the images to get rid of the low contrast regions to increase the accuracy of recognition. In this work, we use Steerable Gaussian Filter at the pre-processing step for all training and testing samples. In the classification step, we use the recently proposed “Classification via Sparse Reconstruction Vector (CSRV)“ algorithm. The performance of our approach is compared with that of the “Principal Component Analysis (PCA)” algorithm in terms of recognition rates (RR). Experiment results show that the CSRV algorithm has a better performance than that of the PCA algorithm with higher RR even for poorly illuminated images taken from Yale Database B.
在人脸识别中,不同亮度或角度的光照是个体分类的重要问题。为了克服这一问题,一般在对图像进行预处理后,采用分类算法去除低对比度区域,以提高识别的准确率。在这项工作中,我们在预处理步骤中对所有训练和测试样本使用可转向高斯滤波器。在分类步骤中,我们使用了最近提出的“基于稀疏重建向量(CSRV)的分类”算法。我们的方法在识别率(RR)方面与“主成分分析(PCA)”算法的性能进行了比较。实验结果表明,即使对耶鲁数据库B中光照较差的图像,CSRV算法也具有比PCA算法更好的性能和更高的RR。
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引用次数: 1
Relevance of User Data Completeness in Resolving Differential Diagnosis in Medical Expert System Optimization 医疗专家系统优化中用户数据完整性在解决鉴别诊断中的相关性
Pub Date : 2018-11-01 DOI: 10.1109/ICECCO.2018.8634683
L. Ismaila, I. Ismail, N. N. Agwu
In this research we implemented a technique for resolving differential diagnosis (DD) in medical disease expert systems (ES). This was achieved by collecting additional information from users during diagnosis which help to correctly decide which new rule will be asserted to the working memory before feedback can be deduced after proving that a user is suffering from a particular disease by confirming all the symptoms. Our approach correctly resolves differential diagnosis by ruling out similar diseases which match user disease symptoms and enhances the general accuracy of the expert system due to sufficient user information made usable to the system. This work presents a general solution to most significant problem of differential diagnosis, which is neither restricted to a particular disease nor medical domain as compared to the work of other researchers where techniques to resolve differential diagnosis were restricted to a particular disease type. The system can be further optimized by providing the probability value when a goal is achieved as well as medical prescription after diagnosis is completed.
在这项研究中,我们实现了一种在医学疾病专家系统(ES)中解决鉴别诊断(DD)的技术。这是通过在诊断过程中收集用户的额外信息来实现的,这些信息有助于在通过确认所有症状来证明用户患有特定疾病后推断出反馈之前正确决定将哪些新规则断言到工作记忆中。我们的方法通过排除与用户疾病症状相匹配的类似疾病来正确地解决鉴别诊断问题,并且由于系统提供了足够的用户信息,因此提高了专家系统的一般准确性。这项工作提出了鉴别诊断最重要问题的一般解决方案,与其他研究人员的工作相比,它既不局限于特定疾病,也不局限于医学领域,其中解决鉴别诊断的技术仅限于特定疾病类型。通过提供某一目标达到时的概率值以及诊断完成后的用药处方,进一步优化系统。
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引用次数: 0
Cervical Cancer in Nigeria: The Need for Intelligent Detection and Classification System 尼日利亚宫颈癌:需要智能检测和分类系统
Pub Date : 2018-11-01 DOI: 10.1109/ICECCO.2018.8634759
O. E. Aina, Steve A. Adeshina, A. Aibinu
Cervical Cancer is the second most prevalent cancer found in women inNigeria. It is predicted that this will increase by almost 72% if efforts are not made to reduce this growth rate. Cervical cancer is predominantly caused by a virus known as Human Papilloma Virus (HPV). Hence, this survey aims to discuss statistical information on cervical cancer incidence in the six-geopolitical regions in Nigeria. Problems with data collection from these regions are highlighted. Also, existing screening methods and challenges affecting these methods are evaluated. The need for introducing an intelligent detection and classification system which will potentially reduce the growth rate of cervical cancer is discussed.
宫颈癌是尼日利亚妇女中发现的第二大常见癌症。据预测,如果不采取措施降低这一增长率,这一数字将增加近72%。子宫颈癌主要是由一种叫做人乳头瘤病毒(HPV)的病毒引起的。因此,本调查旨在讨论尼日利亚六个地缘政治区域宫颈癌发病率的统计信息。强调了从这些地区收集数据的问题。此外,现有的筛选方法和影响这些方法的挑战进行了评估。讨论了引入智能检测和分类系统的必要性,这将潜在地降低子宫颈癌的增长速度。
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引用次数: 1
Gas Turbine Fault Classification Based on Machine Learning Supervised Techniques 基于机器学习监督技术的燃气轮机故障分类
Pub Date : 2018-11-01 DOI: 10.1109/ICECCO.2018.8634719
Nurlan Batayev
Nowadays Machinery Diagnostic becomes a major part for many industrial applications. It allows to predict and prevent of breakages. An analysis of the trends in the development of power machines show that the most advanced installations can be created using gas turbine technologies. Quite justified, many energy specialists consider the XXI century - the century of gas turbine technologies. It is very important to prevent gas turbine failure. In this paper investigated machine learning classification techniques with further implementation for fault detection in gas turbine running data trends. Investigation was done for real gas compression station running parameters.
目前,机械诊断已成为许多工业应用的重要组成部分。它允许预测和防止破损。对动力机器发展趋势的分析表明,使用燃气轮机技术可以创建最先进的装置。许多能源专家认为21世纪是燃气轮机技术的世纪,这是有道理的。防止燃气轮机故障是非常重要的。本文研究了机器学习分类技术在燃气轮机运行数据趋势故障检测中的进一步实现。对实际气体压缩站的运行参数进行了研究。
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引用次数: 7
Dynamic Simulation of a Solar Hot Water Heating System for Kazakhstan Climate Conditions 哈萨克斯坦气候条件下太阳能热水供暖系统的动态模拟
Pub Date : 2018-11-01 DOI: 10.1109/ICECCO.2018.8634798
Amirgaliyev Yedilkhan, T. Merembayev, Murat Kunelabyev
The focus of the present article is a simulation of a solar hot water heating system for Kazakstan climate conditions. The system consists of solar flat collector, installed exchanger coil inside a storage tank and pumps to provide heating as well as domestic hot water. The simulation of solar heating system is done in Matlab + Simulink. Based on the simulation results it can allows simulate the operational of solar hot water heating system in different climate conditions (temperature and solar irradiance) and different customized parameters of the system for better efficiency of the system in different climate condition.
本文的重点是模拟哈萨克斯坦气候条件下的太阳能热水加热系统。该系统由太阳能平板收集器、安装在储罐内的交换器盘管和提供供暖和生活热水的泵组成。在Matlab + Simulink中对太阳能加热系统进行了仿真。根据仿真结果,可以模拟不同气候条件(温度和太阳辐照度)下太阳能热水采暖系统的运行情况,以及系统的不同定制参数,以提高系统在不同气候条件下的效率。
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引用次数: 4
Analysis of Data to Improve System of an Educational Organization 数据分析对教育机构制度改进的启示
Pub Date : 2018-11-01 DOI: 10.1109/ICECCO.2018.8634709
Azamat Serek, M. Zhaparov, S. Yoo
In this paper, we attempted to generate insights about improving the education of students of EDUCON summer camp in Kazakhstan on the basis of analysis of their dataset and extrapolate the studies into other similar education-based projects. On the basis of empirical data we found that the organization of EDUCON camp was generally good, but there are some points such as subjects related, dormitory related, etc. to be improved in order to make the system of EDUCON even better. As the result, we suggest some new additionalities to be incorporated into the EDUCON education system and some changes have to be done.
在本文中,我们试图在分析哈萨克斯坦EDUCON夏令营数据集的基础上,产生关于改善其学生教育的见解,并将研究外推到其他类似的教育项目中。在实证数据的基础上,我们发现EDUCON夏令营的组织总体上是好的,但在科目相关、宿舍相关等方面还有一些需要改进的地方,才能使EDUCON的系统变得更好。因此,我们建议将一些新的附加内容纳入EDUCON教育系统,并且必须进行一些更改。
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引用次数: 2
User Define Time Based Change Pattern Dynamic Password Authentication Scheme 用户自定义基于时间变化模式的动态口令认证方案
Pub Date : 2018-11-01 DOI: 10.1109/ICECCO.2018.8634675
Salisu Ibrahim Yusuf, Moussa Mahamat Boukar, Aminu Mukhtar, Ahmed Dalhatu Yusuf
In this paper a novel time based dynamic password was presented to the overcome challenge of using a third party such as one-time password email, test and token device system for authentication in dynamic password authentication systems, user will set an initial password define how the password will be changing over a defined time, we found that the system retains the strength of the dynamic password and improves the usability of the system in terms of availability.
本文提出了一种新的基于时间的动态密码,克服了动态密码认证系统中使用第三方一次性密码的挑战,如电子邮件、测试和令牌设备系统进行认证,用户可以设置一个初始密码,定义密码在规定的时间内如何更改,我们发现该系统保留了动态密码的强度,提高了系统的可用性。
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引用次数: 0
Revealing Encryption Algorithm for Integrating with Quantum Technologies by Using Cryptanalysis 利用密码分析揭示与量子技术集成的加密算法
Pub Date : 2018-11-01 DOI: 10.1109/ICECCO.2018.8634689
Nazgul Abdinurova, B. Kynabay
The problem of secure connection becomes more and more popular nowadays. Almost all encryption systems can be hacked, and this motivates to the creation of an unbreakable data transfer. The article discussed modern encryption algorithms and the possibility of integrating them into different spheres. Using cryptanalysis method has chosen algorithm for integration with quantum technologies.
如今,安全连接问题越来越受到人们的关注。几乎所有的加密系统都可以被黑客攻击,这激发了创建一个牢不可破的数据传输。本文讨论了现代加密算法以及将它们集成到不同领域的可能性。采用密码分析方法选择了与量子技术相结合的算法。
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引用次数: 1
期刊
2018 14th International Conference on Electronics Computer and Computation (ICECCO)
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