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2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)最新文献

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Development of the Indicators System for the Assessment of the Inclusive Development Level of Information Economy 信息经济包容性发展水平评价指标体系的构建
A. Aliyev
In the conditions of formation of information and knowledge economy the study of the assessment of the inclusive level of the social and economic development is one of the key issues of global and regional management. In this aspect, a new look at the scientific-theoretical basis of economic development from inclusive point of view is required. A new system of indicators and subdirectories characterizing the inclusive development of society is proposed. Regional and sectoral, national and international assessment of the formation level of inclusive society and economic development is studied. Formation of the national inclusive growth index is reviewed. The methodological basis for inclusive level assessment and the appropriate technique are developed. Some comparisons and recommendations have been given for the experimental realization of the methodology
在信息和知识经济形成的条件下,社会经济发展的包容性水平评价研究是全球和区域管理的关键问题之一。在这方面,需要从包容性的角度重新审视经济发展的科学理论基础。提出了表征社会包容性发展的新指标和子目录体系。研究了包容性社会和经济发展形成水平的区域和部门、国家和国际评估。回顾了国家包容性增长指数的形成过程。制定了包容性水平评估的方法基础和适当的技术。对该方法的实验实现进行了比较和建议
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引用次数: 1
Facial Emotion Recognition using Convolutional Neural Networks 基于卷积神经网络的面部情绪识别
Z. Rzayeva, Emin Alasgarov
Facial emotion recognition is one of the promptly developing branches within the machine learning domain. In this paper, we are presenting our model based on Convolutional Neural Networks, which is trained on Cohn-Kanade and RAVDESS datasets. The proposed model gets satisfactory results in detecting macro facial emotions on the aforementioned datasets.
面部情感识别是机器学习领域中发展迅速的分支之一。在本文中,我们提出了基于卷积神经网络的模型,该模型是在Cohn-Kanade和RAVDESS数据集上训练的。该模型在上述数据集上的宏观面部情绪检测取得了令人满意的结果。
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引用次数: 7
An Antenna Design Technique Based on Differential Evolution Algorithm Using An Objective Function Designed with Finite Element Method Simulations 基于目标函数设计的差分进化天线设计技术
Suad Basbug
An optimization mechanism that exploits the finite element method simulations of COMSOL multiphysics and differential evolution (DE) algorithms is proposed to design antennas. The method introduced in this paper utilizes the built-in programming feature of COMSOL application builder. The cost function for the iterative DE algorithm is developed on the basis of finite element method simulations capabilities of the COMSOL software. This provides very flexible and realistic design opportunities. In order to validate the proposed optimization system, two different examples of a monopole Yagi-U da antenna are considered. The first example has two elements including a reflector. The second example has three elements including a director as well as a reflector. The proposed optimization mechanism is used to find optimal geometric values for two monopole Yagi-Uda antennas. At the end of optimizations, it is seen that the proposed mechanism in this paper can successfully achieve the optimal geometric solutions for the desired antenna parameters.
提出了一种利用COMSOL多物理场有限元模拟和差分演化(DE)算法进行天线设计的优化机制。本文介绍的方法利用了COMSOL应用程序构建器的内置编程特性。基于COMSOL软件的有限元模拟能力,建立了迭代DE算法的代价函数。这提供了非常灵活和现实的设计机会。为了验证所提出的优化系统,考虑了两个不同的单极Yagi-U数据天线实例。第一个示例有两个元素,包括一个反射器。第二个例子有三个元素,包括一个引导器和一个反射器。利用所提出的优化机制,找到了双单极Yagi-Uda天线的最优几何值。在优化的最后,可以看到本文提出的机构可以成功地获得理想天线参数的最优几何解。
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引用次数: 2
Securing and Hiding the Destination of Confidential Medical Information with Domain Fronting 使用域前端保护和隐藏机密医疗信息的目的地
G. Muradova, Mehran Hematyar
E-Health is a developed infrastructure, which usage becomes important to control access to personal patients' data, as well as to various medical resources. The need for confidentiality of personal medical data and control of access is necessitated by the safety concerns. This paper shows Domain Fronting technology application method that significantly decreases unauthorized accesses and illegal actions into the E-health system. It uses a method of hiding visits to a resource by redirecting received requests to arbitrary addresses.
电子保健是一种发达的基础设施,其使用对于控制对患者个人数据以及各种医疗资源的访问变得非常重要。出于安全考虑,必须对个人医疗数据保密并控制访问。本文介绍了域前沿技术的应用方法,可以显著减少电子卫生系统的非法访问和非法行为。它使用一种方法,通过将收到的请求重定向到任意地址来隐藏对资源的访问。
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引用次数: 2
Improved Harris's Hawk Multi-objective Optimizer Using Two-steps Initial Population Generation Method 用两步初始种群生成法改进Harris Hawk多目标优化器
S. Yasear, K. Ku-Mahamud
The population of hawks in the Harris's hawk multi-objective optimizer (HHMO) algorithm is generated using uniform distribution random number. This method does not guarantee that the solutions can be evenly distributed in the search space of the problem, which may affect the efficiency of the algorithm. Therefore, to improve the performance of HHMO algorithm, two-steps initial population generation method is proposed. This method is developed based on R-sequence and partial opposition-based learning, which is employed to generate an initial population of hawks, with the aim to achieve better initial population. Thus better convergence toward Pareto front will be obtained. The performance of the proposed improved HHMO algorithm is evaluated using a set of well-known multi-objective optimization problems. The results of numerical simulation experiment demonstrate the effectiveness of the proposed two-step initial population generation method and showed superiority of the improved HHMO algorithm compares to the HHMO. The improved HHMO can be used to improve the convergence towards the true Pareto frontier.
Harris鹰多目标优化算法采用均匀分布随机数生成鹰种群。该方法不能保证解在问题的搜索空间中均匀分布,可能会影响算法的效率。因此,为了提高HHMO算法的性能,提出了两步初始种群生成方法。该方法是基于r序列和部分对立学习的方法,用于生成鹰的初始种群,以获得更好的初始种群。从而获得较好的向帕累托前沿收敛。利用一组著名的多目标优化问题对改进的HHMO算法的性能进行了评价。数值模拟实验结果证明了所提出的两步初始种群生成方法的有效性,并显示了改进的HHMO算法相对于HHMO算法的优越性。改进的HHMO可用于改进向真帕累托边界的收敛性。
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引用次数: 0
Neural Spelling Correction for Azerbaijani Language 阿塞拜疆语的神经拼写校正
S. Mammadov
Spelling correction is one of the most needed steps in many natural language processing tasks. It is the operation of correcting orthographical mistakes. For languages such as English, spelling correction is usually performed by dictionary lookup for words with minimum edit distance to the given word which is not feasible for agglutinative languages such as Azerbaijani (ISO 639-3:aze). Thanks to their rich morphological structure, languages such as Azerbaijani can have quite complex words with several derivational and inflectional affixes. Indeed, agglutination of the affixes in the new word and meaning formation while adhering to the certain linguistic rules such as vowel harmony is what makes the neural models suitable for the correction of the certain classes of the errors in such languages, helping understand the patterns that the agglutination brings with it. In this paper, the possibility of building such a model for the mentioned purpose is explored and the results are reported.
拼写纠正是许多自然语言处理任务中最需要的步骤之一。这是纠正拼写错误的操作。对于像英语这样的语言,拼写纠正通常是通过字典查找与给定单词的最小编辑距离的单词来执行的,这对于像阿塞拜疆语(ISO 639-3:aze)这样的粘连语言是不可行的。由于其丰富的形态结构,像阿塞拜疆语这样的语言可以有相当复杂的单词,有几个衍生词缀和屈折词缀。的确,新词中词缀的凝集和词义的形成,同时坚持一定的语言规则,如元音和谐,使神经模型适合于纠正这些语言中某些类型的错误,帮助理解凝集带来的模式。本文探讨了为上述目的建立这样一个模型的可能性,并报告了结果。
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引用次数: 2
Fuzzy Logic for Medical Diagnosis of Clinical and Hematological Symptoms 模糊逻辑在临床血液学症状医学诊断中的应用
Indira Uvaliyeva, M. Kalimoldayev, S. Rustamov, S. Belginova
Practical medicine still remains a difficultly formalized area of human activity, in which specialists in decision making often proceed from previous professional experience and their own intuition, and not from an analysis of objective data. In such situation, it is difficult to avoid medical mistakes, the social and economic importance of which is extremely high. The urgency of the problem is in the need to develop intelligent medical systems based on effective methods, algorithms and models of support for making medical decisions in the context of incompleteness and uncertainty of the initial data of the medical-technological process, allowing to ensure high adequacy and validity of the decisions made in the context of limited time resources. The main goal of the this research is to use a model of a fuzzy inference for a medical diagnostic system in order to provide effective information support for the diagnosis process, as well as the process of recommendatory medical care.
实用医学仍然是人类活动中一个难以形式化的领域,在这个领域中,专家们的决策往往是从以前的专业经验和他们自己的直觉出发,而不是从对客观数据的分析出发。在这种情况下,很难避免医疗事故,其社会和经济重要性非常高。问题的紧迫性在于需要开发基于有效方法、算法和模型的智能医疗系统,以支持在医疗技术过程初始数据不完整和不确定的情况下做出医疗决策,从而确保在有限的时间资源下做出决策的高度充分性和有效性。本研究的主要目标是将模糊推理模型应用于医疗诊断系统,以便为诊断过程以及推荐医疗过程提供有效的信息支持。
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引用次数: 1
Geometric fractal index as a tool of the time series analysis 几何分形指数作为时间序列分析的工具
D. Repin, G. Filaretov, F. Pashchenko, Z. Enikeeva, A. Chervova
The problem of the fractal dimension estimation for the time series is considered. It is proposed to use special fractality indices based on the geometric characteristics of the observed discrete realization, namely on the analysis of its curvature. The relationship between proposed indices and the Hurst exponent is demonstrated and their properties are discussed. The effectiveness of the algorithms based on the geometric approach is demonstrated using known model fractals and real time series. The fractal analysis of the internet traffic, including detection of DDoS-attacks is discussed.
研究了时间序列的分形维数估计问题。根据观测到的离散实现的几何特征,即对其曲率的分析,提出了特殊的分形指标。证明了所提指标与赫斯特指数之间的关系,并讨论了它们的性质。利用已知的模型分形和实时序列证明了基于几何方法的算法的有效性。讨论了网络流量的分形分析,包括对ddos攻击的检测。
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引用次数: 0
Design of Frequency and Voltage Controller for Stability Improvement in a Micro Hydro Power Plant 提高微水电厂稳定性的频率和电压控制器设计
U. K. John, Asinge W. Jack, Musa Nasaaga
This research work uses Fuzzy Logic Controller (FLC) in order to contribute to Micro Hydro Power Plants (MHPPs) stability and dynamic performance improvement. Its effectiveness is shown through a comparative analysis to Conventional Controllers (CC) simulated in Matlab/Simulink 2018a. Both controllers are subjected to dynamic performance tests in order to evaluate their respective transient, performance and robustness responses in a designed MHPP. Results reveal that FLC provides an average reduction of 4.91s and 14.11% respectively in response time and overshoot. These results show that FLC has significantly improved the stability and the dynamic performance of the MHPP.
本研究采用模糊逻辑控制器(FLC)来提高微水电厂的稳定性和动态性能。通过与Matlab/Simulink 2018a中仿真的传统控制器(CC)进行对比分析,证明了其有效性。在设计的MHPP中,两个控制器都进行了动态性能测试,以评估它们各自的瞬态、性能和鲁棒性响应。结果表明,FLC在响应时间和超调量上分别平均降低了4.91秒和14.11%。结果表明,FLC显著提高了MHPP的稳定性和动态性能。
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引用次数: 1
Use of Decision Tables in Monitoring of Performance Discipline 决策表在绩效监控中的应用
P. Senchenko, Yury P. Ekhlakov
This paper discusses a variant of a decision-making algorithm for monitoring of performance discipline. The algorithm is based on a decision table that delivers a solution to problem situations that might arise in the course of performance of management's assignments. Practical im-plementation of this algorithm in document management systems can help automate and, as a result, facilitate monitoring of progress in management's assignments.
本文讨论了绩效学科监控决策算法的一种变体。该算法基于一个决策表,该决策表提供了在执行管理任务过程中可能出现的问题情况的解决方案。该算法在文件管理系统中的实际实施可以帮助实现自动化,从而促进对管理任务进度的监控。
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引用次数: 2
期刊
2019 IEEE 13th International Conference on Application of Information and Communication Technologies (AICT)
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