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2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)最新文献

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Extraction of Numerical data from Categorical Data Set and Artificial Neural Networks 从分类数据集和人工神经网络中提取数值数据
Ahmet Hıfzı Bacaksız, Eren Esgin
In this study, the need for numerical data which is required for the machine learning techniques is considered. In order to classify a categorical data by multilayer perceptron, which is one of the well-known artificial neural network structure, the content of the data is digitalized. While the numerical equivalent of the data content is created at categorical level, the protection of the information it carries has been an important issue in terms of achieving effective results and has been studied a lot. Here, a binary-defined transformation is applied to the categorical data. Afterwards, a guide vector is implemented to protect the relation at its own business context. The guide vector implicitly conserves positional relation of the corresponding dataset at the categorical level. Hence, a significant dimensional reduction is accomplished in this new dataset obtained after the digitalization of the original dataset. The classification performance of newly extracted features is validated with multilayer perceptron structure and successful results are observed. In this study, the actual data extracted from the enterprise resource planning (ERP) system is used as the main data source. The underlying methods of modeling and data processing are implemented in MATLAB and Python programming languages.
在本研究中,考虑了机器学习技术对数值数据的需求。多层感知器是一种著名的人工神经网络结构,为了对分类数据进行分类,对数据内容进行数字化处理。虽然数据内容的数值等效物是在分类级别创建的,但其所承载的信息的保护一直是实现有效结果的一个重要问题,并且已经进行了大量的研究。这里,将二进制定义的转换应用于分类数据。然后,实现一个引导向量,以在其自己的业务上下文中保护关系。引导向量隐式地在分类级别上保存相应数据集的位置关系。因此,在原始数据集数字化后获得的新数据集实现了显着的降维。利用多层感知器结构验证新提取特征的分类性能,并观察到成功的结果。在本研究中,从企业资源规划(ERP)系统中提取的实际数据作为主要数据源。底层的建模和数据处理方法是用MATLAB和Python编程语言实现的。
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引用次数: 0
Evaluation of Pure Proportional Navigation and Velocity Pursuit Guidance Methods for Missiles 导弹纯比例导航和速度跟踪制导方法的评估
Gözde Yılmaz, D. Yilmaz
In this study; the hitting performances of two missiles with different dynamics modeled at three degrees of freedom are investigated by pure proportional navigation guidance (PPNG) and velocity pursuit guidance (VPG) methods. Simulations are performed for on two scenarios that have stationary and constant velocity target types, and the results are compared in terms of flight time, maximum maneuvering value of the missile and the target capture performance. Simulation results show that SOSG performs better than HTG in both scenarios for two missiles.
在本研究中;采用纯比例导航制导(PPNG)和速度追踪制导(VPG)方法研究了两种不同动力学模型下三自由度导弹的命中性能。对静止和等速两种目标类型进行了仿真,并对导弹的飞行时间、最大机动值和目标捕获性能进行了比较。仿真结果表明,对于两种导弹,SOSG在两种情况下的性能都优于HTG。
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引用次数: 0
ISMSIT 2019 TOC
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引用次数: 0
High Speed Comparator Design for the Implementation of Successive Approximation Register ADC 实现逐次逼近寄存器ADC的高速比较器设计
Ersin Alaybeyoğlu
In this work, a comparator operating at 400MHz frequency with a resolution of 10 bits is designed. In order to eliminate the effect of offset voltage in the designed comparator circuit, auto-zero technique is used. The fully differential operational amplifier structure is used in the comparator circuit as it prevents common mode distortion. Clock signals and CMOS structures of switch, latch, inverter and full differential operational amplifier structures of the comparator circuit are given in detail. The performance parameters of the designed circuit are realized in Cadence environment with 0.18µm technology.
本文设计了一种工作频率为400MHz,分辨率为10位的比较器。在设计的比较器电路中,为了消除偏置电压的影响,采用了自动归零技术。在比较器电路中采用全差分运算放大器结构,以防止共模失真。详细给出了比较电路的时钟信号和开关、锁存器、逆变器和全差分运算放大器结构的CMOS结构。采用0.18µm工艺在Cadence环境下实现了所设计电路的各项性能参数。
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引用次数: 2
Secure Distribution of Electronic Documents over Network in Quantum Information Management Systems 量子信息管理系统中网络上电子文档的安全分发
Cumali Yaşar, I. Yilmaz
The aim of this study is related to the flow of electronic documents through quantum networks, signing with quantum digital signature, security of documents, verification and denial of basic principles of work flow processes on quantum networks.In our study; The process of transmission of electronic documents is to propose a model for the distribution of quantum keys. In this model proposal, production of electronic documents, signing of electronic documents with quantum digital signature, making electronic correspondence package, determination of the way the electronic correspondence package will follow during the access to the target user, defining the movements of the electronic document on the secure networks during the road is defined within the framework of quantum information principles.
本研究的目的涉及电子文件在量子网络中的流动、量子数字签名的签署、文件的安全性、量子网络工作流过程基本原理的验证与否定。在我们的学习中;针对电子文档的传输过程,提出了量子密钥的分发模型。在该模型方案中,在量子信息原理的框架内定义了电子文件的生成、量子数字签名的签署、电子通信包的制作、电子通信包访问目标用户过程中路径的确定、电子文件在安全网络中路径的定义。
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引用次数: 1
Body Sensors Monitoring System for Increasing E-Learning Effectiveness 提高电子学习效率的身体传感器监测系统
Teodor Kalushkov, D. Valcheva, Miroslav Galabov, T. Georgieva-Trifonova
This paper represents basic features of a modern e-learning system that aims to increase efficiency of teaching process. Like the polygraph (known also as a lie detector), system collects data about body parameters of individual learners, responding to their psychological state and takes real time decisions about best way that learning content should be presented to them according to their learning modality. Following the same principles, examination and evaluation processes can be also improved under some conditions. Advanced low-energy sensor network technology is also described as a backbone on which is based body data collection. The purposed system is flexible and suitable for both small and large groups of learners and can be built independently or easy integrated as an extension of existing e-learning system. The main limit of the purposed system is that it is appropriate mainly for the attendance learning forms. As an extra benefit, the sensors may detect if any learner has abnormal body functions and may alert about his health hazards.
本文介绍了以提高教学效率为目的的现代电子学习系统的基本特征。像测谎仪(也被称为测谎仪)一样,系统收集关于个体学习者身体参数的数据,响应他们的心理状态,并根据他们的学习方式实时决定学习内容应该呈现给他们的最佳方式。遵循同样的原则,在某些条件下,考试和评价过程也可以得到改进。先进的低能量传感器网络技术也被描述为基于身体数据收集的骨干技术。目标系统灵活,适合小型和大型学习者群体,可以独立构建或易于集成,作为现有电子学习系统的扩展。目的系统的主要限制是主要适用于考勤学习形式。作为一个额外的好处,传感器可以检测任何学习者是否有异常的身体功能,并可能警告他的健康危害。
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引用次数: 0
Development of Methods to Detect Movement Disorders in Parkinson's Disease 帕金森病运动障碍检测方法的发展
Nilgun Mutlu, M. Cenk AKBOSTANCI, F. Arı, F. T. Karaarslan
In this study, a method for the detection of rigidity movement disorder, which is one of the common symptoms of Parkinson's Disease, was developed. The developed method is based on an electromechanical measuring device. With this method, parameters related to stiffness of the patient's wrist were obtained by the computerized analysis of the recorded measurement data and comparison was made with the stiffness score of the physician. The data were compared with the motor scores of the Unified Parkinson's Disease Assessment Scale (UPDRS) and the Hoehn-Yahr Staging Scale. The results showed that the motor UPDRS scores and the Hoehn-Yahr Staging scale were consistent. Furthermore, it was seen that the rigidity enhancing effect of the Froment maneuver can be distinguished by the established system. It was noted that the stiffness scores with Froment maneuver measurements made for the same patient were 1 point higher than the stiffness scores without Froment maneuver measurements. Also; As a result of the comparison made with the stiffness scoring performed by the physician, it was found that the stiffness data obtained were generally consistent with the physician scoring. However, according to the data obtained, some physician scoring deviations from normal were determined. As a result of these studies, a lower-upper limit was established for stiffness values evaluated between 0-4 points. Thus, an objective method that can be used to evaluate the sign of stiffness was proposed.
在本研究中,开发了一种检测帕金森病常见症状之一僵硬运动障碍的方法。所开发的方法是基于机电测量装置。该方法通过对记录的测量数据进行计算机分析,获得患者手腕刚度的相关参数,并与医生的刚度评分进行比较。将这些数据与统一帕金森病评估量表(UPDRS)和Hoehn-Yahr分期量表的运动评分进行比较。结果显示,运动UPDRS评分与Hoehn-Yahr分期量表一致。此外,所建立的系统还可以区分出机动的刚度增强效果。值得注意的是,对同一患者进行Froment机动测量的刚度评分比未进行Froment机动测量的刚度评分高1分。也;通过与医生进行的刚度评分进行比较,发现获得的刚度数据与医生的评分基本一致。然而,根据获得的数据,确定了一些医师评分偏离正常。作为这些研究的结果,建立了在0-4点之间评估的刚度值的下限。因此,提出了一种客观的评价刚度符号的方法。
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引用次数: 1
Identification of Indoor Harmful Gas to Human Respiratory System using Support Vector Machines 基于支持向量机的室内人体呼吸系统有害气体识别
M. F. Adak, S. Ercan
Today, it is among widely studied subjects to determine the air quality of living spaces and take appropriate actions. In this study, indoor air quality was continuously monitored using an array of various gas sensors. The system is modelled to detect any harmful gas among different gasses and give a warning. Support Vector Machines was used in the model, and it was trained by sample gas data that was created using a group of harmful and harmless gasses to human health. Tests on the trained model showed that the proposed model was able to classify gasses as harmful or harmless with a 100% success rate. The time it takes for the system to give a response with such an accuracy rate was significantly short. The speed of the system is also an important contribution of this study. This study showed that Support Vector Machines can be used with high accuracy-high sensitivity and high specificity- in determining gasses that are harmful or harmless to human health while measuring indoor air quality.
今天,确定生活空间的空气质量并采取适当的行动已成为广泛研究的课题之一。在这项研究中,使用一系列不同的气体传感器连续监测室内空气质量。该系统可以在不同的气体中检测出任何有害气体并发出警告。模型中使用了支持向量机,并通过使用一组对人体健康有害和无害的气体创建的样本气体数据进行训练。对训练模型的测试表明,所提出的模型能够以100%的成功率将气体分类为有害或无害。系统给出这样一个准确率的响应所需的时间非常短。系统的速度也是本研究的一个重要贡献。本研究表明,在测量室内空气质量时,支持向量机可以高精度、高灵敏度和高特异性地用于确定对人体健康有害或无害的气体。
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引用次数: 2
Investigation of MPPT Algorithms under Partial Shading and Changing Atmospheric Conditions in PSIM Environment PSIM环境中部分遮阳和变化大气条件下MPPT算法研究
Z. Kesilmiş, M. Karabacak, M. Aksoy
In this study, computer simulations were performed in PSIM environment in order to compare the success of Stochastic Beam Search, Perturb & Observe, Fractional Open Circuit and Random Perturb & Observe algorithms in partial shading and monitoring maximum power point under changing atmospheric conditions. The computer simulation model consists of 4 series connected solar panels, Buck type DC/ DC converter and C block which serves as micro controller. The simulation model provides a realistic and controlled environment for testing algorithms. The results of the study showed that the Stochastic Beam Search algorithm successfully performed the MPPT function under different shading conditions and changing atmospheric conditions.
本研究在PSIM环境下进行了计算机模拟,以比较随机光束搜索、扰动与观测、分数开路和随机扰动与观测算法在变化大气条件下部分遮阳和监测最大功率点方面的成功。计算机仿真模型由4块串联太阳能电池板、Buck型DC/ DC变换器和作为微控制器的C模块组成。仿真模型为算法的测试提供了一个真实可控的环境。研究结果表明,随机光束搜索算法在不同遮阳条件和不断变化的大气条件下成功地执行了MPPT函数。
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引用次数: 0
Ski Slopes Digitalization and Rating Analysis of Ski Resorts in Mavrovo and Popova Shapka 马夫罗沃和波波娃沙普卡滑雪场数字化及评价分析
A. Naumoski, Georgina Mircheva, K. Mitreski
Winter months are about snow, and there is no greater benefit for people that live in polluted cities to spend some time on high mountains in fresh air and sun. Therefore, the economical developing of location that offers such winter recreational activities is very important. In this direction, this paper aims to use Geographic Information Systems (GIS) to improve the understanding of the relationship between the ski resorts and a user rating of satisfactory opinion through data analysis and digitalization. GIS is a powerful digitalization and analytical tool and most importantly, the users can access the platform from anywhere and anytime. As a case study, we have considered two major ski resorts in our country, as well as rating data for customer satisfaction scores. Furthermore, as a showcase, we have digitalized one ski resorts slope. The results of this research will provide a framework for future analysis and the development of ski tourism. In the future, we plan to advance this further improve the data analysis with other data and advance the decision-making process.
冬天是下雪的季节,对于生活在污染城市的人来说,花点时间在高山上呼吸新鲜空气和阳光是再好不过的了。因此,提供这种冬季娱乐活动的地点的经济发展是非常重要的。在这个方向上,本文旨在利用地理信息系统(GIS),通过数据分析和数字化,提高对滑雪场与用户满意意见评级之间关系的理解。地理信息系统是一个强大的数字化和分析工具,最重要的是,用户可以随时随地访问该平台。作为一个案例研究,我们考虑了我国的两个主要滑雪胜地,以及客户满意度评分的评级数据。此外,作为展示,我们已经数字化了一个滑雪胜地的斜坡。本研究的结果将为未来滑雪旅游的分析和发展提供一个框架。在未来,我们计划进一步完善与其他数据的数据分析,推进决策过程。
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引用次数: 0
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2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
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