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2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)最新文献

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Development of a power flow software for distribution system analysis based on rectangular voltage using python software package 利用python软件包开发了一个基于矩形电压的配电系统潮流分析软件
L. Hakim, Muhamad Wahidi, Trisno Handoko, H. Gusmedi, N. Soedjarwanto, F. Milano
This paper presents our work on developing a power flow software tool based on rectangular voltage coordinates using the Python scripting language. Rectangular coordinates show higher computational efficiency and better convergence properties than polar formulation. The proposed software tool benefits from Newton-Raphson method to solve the power flow problem. A graphical user interface is also developed and constitutes an initial step towards future development. Results of the proposed power flow software tool are compared to other open source software packages. The proposed work shows good convergence characteristic and proves to perform similarly to other available software tools.
本文介绍了我们使用Python脚本语言开发基于矩形电压坐标的潮流软件工具的工作。直角坐标比极坐标具有更高的计算效率和更好的收敛性。所提出的软件工具得益于牛顿-拉夫森方法来解决潮流问题。还开发了图形用户界面,这是迈向未来发展的第一步。将所提出的潮流软件工具的结果与其他开源软件包进行了比较。该方法具有良好的收敛特性,并证明其性能与其他可用的软件工具相似。
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引用次数: 5
Website quality assessment for portal hospital Indonesia using Gap Analysis 运用差距分析法评价印尼门户医院网站质量
Muhammad Ghaffar Adipridhana, M. Galinium, Heru Purnomo Ipung
The purpose of this study is to measure the staff medical expectations in one of the hospital in Jakarta towards the Portal Hospital Indonesia (PHI) website. The expectations are measured by the dimensions of the website, from the contents, the navigations, the structure and design, the appearance and multimedia, and the uniqueness of the website. Those dimensions are used based on previous study that has been conducted by other researcher about the website quality assessment. The research was conducted at one of the hospital in Jakarta. The sample of this study are the medical staff of the chosen hospital. After the data was gathered, Gap Analysis methodology was conducted. Gap Analysis is a methodology to find the gap between two components. In this case, the methodology is used to find the gap between the current Portal Hospital Indonesia website quality and the medical staff expectations of one hospital in Jakarta. Using gap analysis, some weaknesses of the Portal Hospital Indonesia website which is still under the medical staff expectations were revealed.
本研究的目的是测量雅加达一家医院的员工对印度尼西亚门户医院(PHI)网站的医疗期望。期望是通过网站的维度来衡量的,从内容,导航,结构和设计,外观和多媒体,以及网站的独特性。这些维度是基于其他研究人员之前对网站质量评估的研究而使用的。这项研究是在雅加达的一家医院进行的。本研究的样本为所选医院的医务人员。收集数据后,采用差距分析方法。差距分析是一种发现两个组成部分之间差距的方法。在这种情况下,该方法被用来寻找目前的门户医院印度尼西亚网站的质量和雅加达一家医院的医务人员的期望之间的差距。运用差距分析的方法,揭示了印尼门户医院网站存在的一些不足之处,仍未达到医务人员的期望。
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引用次数: 3
Identification of malignant masses on digital mammogram images based on texture feature and correlation based feature selection 基于纹理特征和相关性特征选择的数字乳房x线图像恶性肿块识别
H. A. Nugroho, N. Faisal, I. Soesanti, L. Choridah
The most popular techniques in early breast cancer detection is using digital mammogram. However, the challenge lies in early and accurate detection the irregular masses with spiculated margin as the most common abnormality. This paper proposes an image classifier to classify the mammogram images. The abnormality that can be founded in mammogram image is classified into malignant, benign and normal cases. By applying Computer Aided Diagnosis (CAD), totally 12 features comprising of histogram and GLCM as the texture based features are extracted from the mammogram image. Correlation based feature selection (CFS) is used in this paper which reduces 50% of the features. Multilayer perceptron algorithm is applied to mammography classification by using these selected features. The experimental result shows that 40 digital mammograms data taken from private Oncology Clinic Kotabaru Yogyakarta was achieved 91.66% of accuracy. The approach can be beneficial to radiologists for more accurate diagnosis.
早期乳腺癌检测中最流行的技术是使用数字乳房x光检查。然而,以毛刺状边缘为最常见异常的不规则肿块的早期、准确的检测是难点。本文提出了一种图像分类器对乳房x光图像进行分类。在乳房x线照片上发现的异常分为恶性、良性和正常。应用计算机辅助诊断(CAD)技术,从乳房x线图像中提取了由直方图和GLCM组成的共12个特征作为纹理特征。本文采用基于相关性的特征选择(CFS),减少了50%的特征。将多层感知器算法应用于乳腺x线摄影分类。实验结果表明,取自私人肿瘤诊所Kotabaru Yogyakarta的40个数字乳房x光片数据达到了91.66%的准确率。该方法可帮助放射科医师进行更准确的诊断。
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引用次数: 16
3D artificial material characterization using rectangular waveguide 基于矩形波导的三维人工材料表征
Danang Primaadi Wibowo, A. Munir
Since the artificial materials recently have been widely applied for various applications, such as resonators, filters, transmission lines, and antennas, it is necessary to explore how to extract the properties of materials, i.e. permittivity and permeability. Information about the materials properties is very important for the user before materials utilization. In this paper, a rectangular waveguide-based characterization to extract the property of three-dimension (3D) artificial material is numerically investigated. The proposed 3D artificial material is constructed from conventional materials with some additional treatment to obtain unusual characteristics. The material properties which are focused on relative permittivity is extracted from scattering parameters. The rectangular waveguide is used as a tool to obtain scattering parameter of proposed material. From the results, it shows that the relative permittivity of proposed 3D artificial material is strongly influenced by the variation of unit cell and proportionally rises up to the number and dimension of unit cell. Moreover, the relative permittivity also increases if the orientation of unit cell is parallel to the electric field of incoming wave.
近年来,人工材料已广泛应用于谐振器、滤波器、传输线、天线等领域,因此有必要探索如何提取材料的介电常数和磁导率等特性。在材料使用之前,材料的性能信息对用户来说是非常重要的。本文对一种基于矩形波导的表征方法提取三维人工材料的特性进行了数值研究。所提出的三维人工材料是由传统材料经一些额外处理而形成的,以获得不同寻常的特性。从散射参数中提取出以相对介电常数为中心的材料特性。利用矩形波导作为工具,获得了所提出材料的散射参数。结果表明,三维人工材料的相对介电常数受单元胞数的影响较大,随单元胞数和尺寸的增大而成比例增大。当晶胞的取向与入射波的电场平行时,相对介电常数也增加。
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引用次数: 3
An intuitive user interface for motion retrieval on a mobile multi-touch device 一个直观的用户界面,用于移动多点触控设备上的运动检索
Natta Tammachat, N. Pantuwong
This paper proposes a technique that allows novice users to retrieve motions using a mobile multi-touch device. A user first inputs a motion that he wants to obtain by manipulating a part of a character skeleton with multiple fingers. The proposed system automatically retrieves a couple of candidate motions from a motion database and visualizes them to the user. He selects one of them and manipulates a different part of the skeleton. Then the system generates a new motion by synthesizing multiple motion data retrieved through different parts of skeleton manipulations. By manipulating skeletons and retrieving motions iteratively, the user can obtain his desired motion in an efficient and easy manner. A pilot study has been conducted using the proposed system to clarify problems to be solved and functions to be improved.
本文提出了一种技术,允许新手用户检索运动使用移动多点触控设备。用户首先输入他想要通过用多个手指操纵角色骨架的一部分来获得的动作。提出的系统自动从运动数据库中检索一对候选运动,并将其可视化给用户。他选择了其中一个,然后操纵骨架的不同部分。然后,系统将通过不同部位的骨骼操作检索到的多个运动数据综合生成一个新的运动。通过对骨架的操作和动作的迭代检索,用户可以高效、方便地获得自己想要的动作。我们已利用拟议的系统进行了一项试验研究,以澄清有待解决的问题和有待改进的功能。
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引用次数: 0
Automatic leaf color level determination for need based fertilizer using fuzzy logic on mobile application: A model for soybean leaves 基于模糊逻辑的基于需求的化肥叶片色级自动确定:大豆叶片模型
K. Prilianti, Samuel P. Yuwono, M. A. Adhiwibawa, M. N. U. Prihastyanti, L. Limantara, T. H. Brotosudarmo
Detecting plant nutrient deficiencies and evaluating fertilizer program are done by leaf tissue analysis. Unfortunately, this quantitative method is quite expensive and time consuming for traditional farmers due to its laboratory procedure. In this research, an automatic and non-destructive method based on digital image for soybean leaf color level determination was developed. Color level status is used to determine the fertilizer dose based on crops current need. The color level was adopted from 4-panel Leaf Color Chart (LCC) and a fuzzy logic model was applied to capture the leaf color gradation. Therefore, the leaf color status is not restricted only in 4 categories, but gradually change from light yellow up to dark green. Using this mechanism the N fertilizer dose will also gradually adjust. Hence, the N fertilizer could be used efficiently and in the same time prevent the environment from negative effects of fertilizer overuse. The method was embedded in a mobile application to facilitate real time field application. Hence, detection of soybean nutrient deficiencies and fertilizer program evaluation will need less time and low cost. From the field test, it was known that the mobile application could determine the soybean color level correctly.
通过对叶片组织的分析,可以发现植物的营养缺陷,并对施肥方案进行评估。不幸的是,由于其实验室程序,这种定量方法对传统农民来说非常昂贵和耗时。本文研究了一种基于数字图像的大豆叶片颜色水平自动无损检测方法。颜色等级状态用于根据作物当前需求确定肥料剂量。颜色层次采用4-panel Leaf color Chart (LCC),并采用模糊逻辑模型捕捉叶片颜色层次。因此,叶色状态不再局限于4类,而是逐渐由浅黄色变为深绿色。利用这一机制,氮肥用量也会逐渐调整。在有效利用氮肥的同时,防止氮肥过度施用对环境的负面影响。该方法被嵌入到一个移动应用程序中,以方便现场实时应用。因此,大豆营养缺乏症的检测和施肥方案评价将需要更少的时间和更低的成本。现场测试表明,该移动应用程序可以正确判断大豆的颜色等级。
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引用次数: 10
A probabilistic approach to analyze and model the simultaneity of power produced by wind turbines in a wind farm 用概率方法对风电场中风力发电机同时发电进行分析和建模
K. Malekian, Anne Gohlich, Liana Pop, W. Schufft
The simultaneity of power produced by wind turbines (WTs) as a function of total power of the wind farm (WF) is investigated in the first part of this paper, and subsequently, a probabilistic approach to model the simultaneity of WT power in a WF is proposed. The investigation of the WT power simultaneity is carried out by analyzing measurement data sets. In this regard, the influence of the following aspects on the simultaneity of WT power is investigated and described: the number of WTs, the spatial arrangement of WTs, and the averaging timeframe of the WT power. Afterwards, with the aid of the investigation results, a nonsequential Monte Carlo method is proposed to generate a synthetic set of the WT power with a realistic simultaneity. The synthetic set of the WT power can be applied as input data for further nonsequential Monte Carlo simulations like reliability assessment or power quality evaluation.
本文第一部分研究了风力发电机组功率的同时性作为风电场总功率的函数,随后提出了一种概率方法来模拟风力发电机组功率的同时性。通过对实测数据集的分析,对小波功率同时性进行了研究。在这方面,研究和描述了以下几个方面对小波变换功率同时性的影响:小波变换的数量、小波变换的空间排列和小波变换功率的平均时间框架。然后,结合研究结果,提出了一种非序列蒙特卡罗方法来生成具有真实同时性的小波幂的综合集。小波变换功率的合成集可以作为输入数据用于进一步的非顺序蒙特卡罗模拟,如可靠性评估或电能质量评估。
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引用次数: 4
Text-background decomposition for thai text localization and recognition in natural scenes 基于文本背景分解的自然场景中泰语文本定位与识别
K. Woraratpanya, Kitsuchart Pasupa, Ungsumalee Suttapakti, Pimlak Boonchukusol, Taravichet Titijaroonroj, Rattaphon Hokking, Y. Kuroki, Yasushi Kato
Thai text localization and recognition in natural scenes is still a grand challenge in current applications. However, the efficiency of recognition rates depends on text localization, i.e., the higher purity of text-background decomposition leads to the higher accuracy rate of character recognition. In order to achieve this purpose, the text-background decomposition methods, namely adaptive boundary clustering (ABC) and n-point boundary clustering (n-PBC), are proposed to improve a precision of text localization. These methods are evaluated by self-entropy for purity measure. Based on 300 test images, the experimental results demonstrate that the ABC method achieves the very low self-entropy, i.e., the low self-entropy implies the good decomposition of text and background. Furthermore, based on 8,077 characters in natural scene test images, the ABC method helps increase the precision of text localization and improves the accuracy rate of character recognition, when compared to the conventional methods.
自然场景中泰语文本的定位和识别在当前的应用中仍然是一个巨大的挑战。然而,识别率的效率取决于文本的本地化,即文本背景分解的纯度越高,字符识别的准确率就越高。为了实现这一目标,本文提出了文本背景分解方法,即自适应边界聚类(ABC)和n点边界聚类(n-PBC),以提高文本定位的精度。用自熵法对这些方法进行了纯度评价。基于300张测试图像的实验结果表明,ABC方法实现了非常低的自熵,即低的自熵意味着文本和背景的良好分解。此外,基于自然场景测试图像中的8077个字符,与传统方法相比,ABC方法提高了文本定位的精度,提高了字符识别的准确率。
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引用次数: 10
TIS Dishub DIY: An implementation of traveler information system in special region of Yogyakarta TIS Dishub DIY:在日惹特殊地区的旅游信息系统的实现
Daniel Febrian Sengkey, Sayuri Egaravanda, L. Nugroho
High number of tourist visits is one influencing factor for road congestion. During peak hours of, traveller even need more planning and re-planning actions to ensure the trip will succeed. Therefore, transportation-related information are required to assist traveller for planning trip, finding best route, and looking for public transport facility. Technological advance makes it possible to use technology in transport infrastructure. Traveler Information System (TIS) is an example of technological use in transportation engineering. TIS could help travellers getting information about roads, available public transport, etc. This paper presents implementation of TIS in Special Region of Yogyakarta, Indonesia using object-oriented model. This system offers transportation-related information such as bus routes, and route guidance, also events which took place around the region.
旅游人数过多是道路拥堵的影响因素之一。在高峰时段,旅行者甚至需要更多的计划和重新计划行动,以确保旅行成功。因此,需要交通相关的信息来帮助旅行者规划行程,寻找最佳路线,寻找公共交通设施。技术进步使技术应用于交通基础设施成为可能。旅客信息系统(TIS)是交通工程技术应用的一个例子。它可以帮助旅行者了解道路、可用的公共交通等信息。本文介绍了使用面向对象模型在印度尼西亚日惹特区实施TIS。该系统提供与交通相关的信息,如公交路线和路线指导,以及该地区发生的事件。
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引用次数: 2
ICUMSA identification of granulated sugar using discrete wavelet transform and colour moments 基于离散小波变换和颜色矩的砂糖ICUMSA识别
A. R. Putri, A. Susanto, Litasari
Classification and identification of granulated sugar in Indonesia were previously done with no quantitative standard. In the production of granulated sugar, several stages and condition produce different kinds of sugar, resulting the need of supervision. Standardisation was designed to follow ICUMSA, a standard based on chemical process. System was designed to identify ICUMSA value of granulated sugar from its image. System was designed as Multi-Level Perceptron Artificial Neural Network with one hidden layer of five neurons using Levenberg-Marquardt algorithm with output trained to follow known ICUMSA values. Colour and textural features were extracted from 180 images of granulated sugar for Artificial Neural Network inputs. Colour moments, Haralick features, and symlet wavelet transform were used as features. After feature reduction, the designed system correctly identified ICUMSA and classified the 6 samples of granulated sugar with 3.623% of error.
印度尼西亚砂糖的分类和鉴定以前没有定量标准。在砂糖的生产过程中,不同的阶段和条件会产生不同种类的糖,因此需要进行监督。标准化旨在遵循ICUMSA,这是一个基于化学过程的标准。设计了从砂糖图像中识别其ICUMSA值的系统。采用Levenberg-Marquardt算法将系统设计成一个包含5个神经元的多层感知器人工神经网络,并根据已知的ICUMSA值进行输出训练。从180张白砂糖图像中提取颜色和纹理特征作为人工神经网络输入。采用颜色矩、哈拉里克特征和符号小波变换作为特征。经过特征约简后,设计的系统正确识别了ICUMSA,并对6个白砂糖样本进行了分类,误差为3.623%。
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引用次数: 0
期刊
2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)
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