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Determination of Active Pressure Exerted on Retaining Walls with a Circular Failure Wedge Using the Horizontal Slices Method in Cohesive-Frictional Soil 黏聚-摩擦土中圆形破坏楔挡土墙主动压力的水平片法测定
Pub Date : 2020-04-13 DOI: 10.36478/jeasci.2017.5012.5017
M. Ahmadabadi, Mohammad Karim Faghirizadeh, S. Hosseini, M. Naghibi
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引用次数: 0
A Review of Batik Pattern Generations Methods 蜡染图案生成方法综述
Pub Date : 2020-03-14 DOI: 10.36478/jeasci.2020.1598.1603
Dyah Rizky Hujairha Laitupa, T. Purboyo, P. Kusuma
: The art of coloring the cloth with the coloring blocking technique using the night is one of the ancient art forms. And batik is one of the art of coloring cloth that has developed in Indonesia, since, Majapahit kingdom. The process of making batik traditionally takes a long time. From the length of the process of making batik there are stages that usually takes quite a long time called scratching is to draw a motive either on paper or directly on the cloth. This is because at the stage of scraping batik should think of ideas after getting new ideas batik will apply it. The process of getting this idea make the process longer in making batik. With the development of technology and science today, it can shorten making the pattern by using an algorithm or computation method.
利用夜晚的色块技术给布料上色是一种古老的艺术形式。蜡染是一种为布料上色的艺术,自Majapahit王国以来在印度尼西亚发展起来。传统上,制作蜡染的过程需要很长时间。从制作蜡染的过程来看,有几个阶段通常需要很长时间,叫做刮花,是在纸上或直接在布上画一个动机。这是因为在刮蜡染阶段要想好思路,得到新思路蜡染后才会应用它。得到这个想法的过程使蜡染的过程变得更长。在科技发展的今天,利用一种算法或计算方法可以缩短图案的制作时间。
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引用次数: 0
The Effect of Organizational Learning, Core Organizational Competence and Diversification Strategy on Organizational Performance (Study at Private Universities in NTT Province) 组织学习、组织核心能力和多元化战略对组织绩效的影响(以NTT省私立大学为例)
Pub Date : 2020-03-14 DOI: 10.36478/jeasci.2020.1676.1686
Rafael Octavianus Byre, U. Salim, Sudjatno ., K. Ratnawati
This empirical research aimed to determine the organizational learning influence extent on the organizational core competencies and diversification strategy in improving the private university organizations performance in the East Nusa Tenggara province. This study was conducted in stages in order to determine the partial effect of organizational learning on the organization’s core competencies, diversification strategies and organizational performance. The aforementioned aspect contributes to further studies in the strategy management. It concerns the effect of organizational learning on core competencies, diversification strategies and organizational performance, especially in organizing private universities. Previous research was reviewed to aid variables and hypothesis development. The variables used in the research are organizational learning, organizational core competencies, diversification strategies and work performance. The following stages were conducted through the course of the research: browsing articles, separating articles, extracting data, synthesizing data, reporting data. Data analysis method used path analysis. The approach used is quantitative positivists. The populations in this study were all private universities in the scope of Region VIII LLDIKTI Bali and Nusa Tenggara, focusing in East Nusa Tenggara. The sample were university and college in East Nusa Tenggara province: 40 PTS (High Education Institutions) consisting of 12 universities and 28 college. This study focused on the phenomenon occurred in NTT province higher education. The higher education organization management has not been well standardized. It exhibited low quality organizational competency, educational qualifications, lecturer competencies, facilities and infrastructure. Offered study programs are not in accordance with the regional condition. The graduate’s competence does not suit the regional need. The local governments do not focus its effort in higher education. Regardless of this obstacle, the community keeps sending their children to higher education institutions. This is indicated by increased number of universities in NTT and high-interest rate in entering higher education. This condition encourages researchers to determine the phenomenon’s crucial aspects. This research aim to illustrate how organizational learning, core organization competencies and diversification strategies need to be developed in improving private university institutions performance in NTT province.
本实证研究旨在确定组织学习对组织核心能力和多元化战略提升东努沙登加拉省私立大学组织绩效的影响程度。本研究分阶段进行,以确定组织学习对组织核心能力、多元化战略和组织绩效的部分影响。这对企业战略管理的深入研究具有重要意义。它涉及组织学习对核心能力、多元化战略和组织绩效的影响,特别是在组织私立大学方面。回顾以往的研究,以帮助变量和假设的发展。研究中使用的变量是组织学习、组织核心能力、多元化战略和工作绩效。在整个研究过程中,主要分为以下几个阶段:浏览文章、分离文章、提取数据、综合数据、报告数据。数据分析方法采用路径分析法。所使用的方法是定量实证主义。本研究的人群均为巴厘岛和努沙登加拉第八区范围内的私立大学,重点是东努沙登加拉。样本为东努沙登加拉省的大学和学院:40所高等教育机构,包括12所大学和28所学院。本研究聚焦于NTT省高等教育中所发生的现象。高等教育机构管理还没有得到很好的规范。它表现出低质量的组织能力、教育资格、讲师能力、设施和基础设施。提供的学习项目不符合地区条件。这个毕业生的能力不适合该地区的需要。地方政府没有把重点放在高等教育上。尽管存在这些障碍,社区还是继续送孩子去高等教育机构。NTT大学数量的增加和进入高等教育的高利率表明了这一点。这种情况促使研究人员确定这种现象的关键方面。
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引用次数: 0
Electrical Modeling of the Induced Voltage Test in Power Transformers for the Analysis of Frequency Response 电力变压器感应电压试验的电建模及频响分析
Pub Date : 2020-03-14 DOI: 10.36478/jeasci.2020.1626.1634
Juan David Rivera Niquepa, J. C. Galeano, G. Patiño, Iván Alfonso
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引用次数: 0
Increasing Growth and Yield of Sweet Basil and Holy Basil by Application of Far-Red Radiation for Indoor Horticulture 远红辐射在室内园艺中的应用促进甜罗勒和圣罗勒的生长和产量
Pub Date : 2020-03-14 DOI: 10.36478/jeasci.2020.1709.1716
N. Watjanatepin, Patcharanan Sritanauthaikorn
: The objective of this study is to investigate the interaction of R, B and FR from phosphor-converted LED on the growth and yield of the sweet basil and holy basil. Seedlings were grown in the chamber with a continuous supply of 200 µmolm -2 sec -1 PPFD of R and B. Several ratios were applied as R:B.3.5 and 7.0 without FR and R:B.3.5 with FR 50 µmolm -2 sec -1 . The photo period was 16/8 h. The results found that R:B.3.5 with FR50 significantly increased the growth rate by 49-114%, the plant height by 64-137%, the stem diameter by 20-25% and the total fresh weight by 98-181% of the crops. R:B.3.5 with FR50 also significantly increased the average leaf area by 59-85% for the holy basil but not in the sweet basil and increased the total dry weight by 110-253% of the sweet basil but not in the holy basil. Additionally, no effects on the leaf thickness of the crops were observed. R:B.7 without FR had the trend to promote the growth of leaf and stem and total fresh weight of the crops than R:B.3.5 without FR. Moreover, the combination of FR with the R and B light could increase the leaf expansion, stem length whole plant photosynthesis and total fresh and dry weight of the sweet basil and holy basil.
本研究的目的是研究磷转换LED中R、B和FR对甜罗勒和圣罗勒生长和产量的相互作用。幼苗在连续供应R和b的200µmolm -2 sec -1 PPFD的室内生长。几种比例分别为:R:B.3.5和7.0,R:B.3.5和FR 50µmolm -2 sec -1。光照周期为16/8 h。结果表明,FR50处理的R:B.3.5显著提高了植株的生长率49 ~ 114%,株高64 ~ 137%,茎粗20 ~ 25%,总鲜重98 ~ 181%。R:B.3.5加FR50也显著增加了圣罗勒平均叶面积59-85%,而甜罗勒没有增加,总干重比甜罗勒增加110-253%,而圣罗勒没有增加。此外,没有观察到对作物叶片厚度的影响。接待员:B。FR与R、B光的组合能提高甜罗勒和圣罗勒的叶膨大、茎长、全植株光合作用和总鲜干重,且FR与R、B光的组合能提高甜罗勒和圣罗勒的叶膨大、茎长和总鲜干重。
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引用次数: 2
Data in ASCI Code Transmission Through Optical Fiber 光纤传输ASCI码中的数据
Pub Date : 2020-03-14 DOI: 10.36478/jeasci.2020.1717.1723
L. W. Jameel
: This study state a data of ASCII code that arranged in the transmitter section to be received by the receiver section. For this reason we designed and immmplement a new system. The system depends on CW laser source, at wavelength of 1552 nm and power of 1-7 dBm. The fiber lengths are between 5 and 80 km distance. The system working in 10 GHz data Bit Rate using two type of photodiode (PIN and APD) as a receiver in order to get more stability system transmissions. The interconnect architecture is based on the use of a software optisys Version 7.0.
:本研究陈述了一种ASCII码的数据,该数据排列在发送段中,由接收段接收。为此,我们设计并实现了一个新的系统。该系统采用波长为1552 nm、功率为1 ~ 7 dBm的连续波激光光源。光纤长度在5 ~ 80公里之间。该系统工作在10ghz的数据比特率下,采用两种类型的光电二极管(PIN和APD)作为接收机,以获得更稳定的系统传输。互连架构基于optisys Version 7.0软件的使用。
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引用次数: 0
Learning the Malay Traditional Musical Instruments by using Augmented Reality Application 利用扩增实境应用学习马来传统乐器
Pub Date : 2020-03-14 DOI: 10.36478/jeasci.2020.1622.1625
M. Z. Masmuzidin, Nur Syahela Hussein, Alfi Rahman, M. Hasman
: This study proposed the implementation of Augmented Reality (AR) technology to promote the learning experience about Malay traditional musical instruments. The application uses a book as a marker to help the user visualizes the traditional musical instruments, learn the history behind it and how the instruments sounds. As a starting point, a library research has been conducted in order to understand the current state of the art. ADDIE Model has been used and the design and development phases has also been discussed. This AR application is expected to be a tool for promoting the Malay traditional musical instruments for the new young generation.
:本研究提出运用扩增实境(AR)技术促进马来传统乐器的学习体验。该应用程序使用一本书作为标记,帮助用户可视化传统乐器,了解其背后的历史以及乐器的声音。作为一个起点,图书馆的研究已经进行,以了解目前的艺术状态。采用了ADDIE模型,并对设计和开发阶段进行了讨论。这个AR应用程序有望成为向年轻一代推广马来传统乐器的工具。
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引用次数: 1
Toric Ideals for (25n3-66n2+41n)×3×n Contingency Tables (25n3-66n2+41n)的环面理想×3×n列联表
Pub Date : 2020-03-14 DOI: 10.36478/jeasci.2020.1609.1617
Hussein S. Hussein, A. Majeed
: In this study, we find Markov basis and toric ideals for (25n 3 -66n 2 +41n)×3×n contingency tables with fixed two dimensional marginals.
在本研究中,我们找到了具有固定二维边缘的(25n3 - 66n2 +41n)×3×n列联表的马尔可夫基和环理想。
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引用次数: 2
Maritime Weather Predictor Design Based Neural Network and ANFIS to an Increase in Accuracy in the Java Sea 基于神经网络和ANFIS的Java海海上天气预报设计提高预报精度
Pub Date : 2020-03-14 DOI: 10.36478/jeasci.2020.1724.1727
W. Dhanistha, W. Wardhana, Mufidatul Islamiyah
: Sea transportation is a mainstay transportation in Indonesia, it is because Indonesia consists of thousands of islands, so that, to connect between islands, sea transportation is needed. Waves are very closely related to the sea, waves that are negative that is waves that can endanger shipping. One of the factors causing sea accidents is natural disasters, namely high waves. To minimize accidents due to high waves, wave predictions can be made in the hours to come using the neural network algorithm. Neural network was chosen because of its advantages in processing system input-output data even though the system is nonlinear. The advantage is that the neural network is chosen as a wave height predictor algorithm. ANFIS is an algorithm for the development of a combination of neural networks and fuzzy artificial intelligence. The ability of ANFIS to predict wave heights is no less good with neural networks, it is because ANFIS is a combination of neural network and fuzzy. It is hoped that by doing this research it can compare which algorithm is better in predicting wave heights.
海上运输是印尼的主要交通方式,因为印尼是由成千上万的岛屿组成的,所以要连接岛屿之间,就需要海上运输。海浪与海洋密切相关,负面的海浪会危及航运。造成海上事故的因素之一是自然灾害,即大浪。为了最大限度地减少因大浪造成的事故,可以使用神经网络算法在未来几小时内进行海浪预测。选择神经网络是因为它在处理非线性系统的输入输出数据方面具有优势。其优点是选择神经网络作为波高预测算法。ANFIS是一种神经网络与模糊人工智能相结合的发展算法。ANFIS预测波高的能力并不亚于神经网络,这是因为它是神经网络和模糊的结合。希望通过本文的研究,可以比较哪一种算法在预测波高方面效果更好。
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引用次数: 0
EEG Signal Processing Model for Eye Blink Detection 眨眼检测的脑电信号处理模型
Pub Date : 2020-03-14 DOI: 10.36478/jeasci.2020.1671.1675
Sebastián Poveda Zavala, Kelvin Ortíz Chicaiza, José Luis Pérez López, J. Ramírez, S. Yoo
: Electroencephalography devices such as the OpenBCI Cyton Biosensing board create a noninvasive and inexpensive way of acquiring signals generated by the brain. These signals are influenced by different types of brain stimuli such as eye blinks but they are also includes a large amount of noise, e.g., generated by the board. However, the noise can be removed with the help of proven filters. In this aspect, the intention of this work is to demonstrate how using different type of filters, it is possible to clean the noise from the brain signals acquired using an encephalography devices (such as Cytonbiosensing board) which are generated when a user blinks his/her eyes and classify them in different type of blinks. We have chosen the study of eye blink brain signals, since, they present a wide range of real-life applications. Our model includes a simple algorithm that classifies user-generated eye blinks into short intended blinks and long composed blinks. Experimental results of the proposed model show an accuracy of 96% which enables the development of real-life applications that do not require real-time control such as IoT devices.
脑电图设备,如OpenBCI细胞生物传感板,创造了一种非侵入性和廉价的方式来获取大脑产生的信号。这些信号受到不同类型的大脑刺激的影响,如眨眼,但它们也包括大量的噪音,例如由板产生的噪音。然而,在经过验证的滤波器的帮助下,噪声可以被去除。在这方面,这项工作的目的是展示如何使用不同类型的过滤器,可以从使用脑电图设备(如细胞生物传感板)获得的大脑信号中清除噪声,这些信号是在用户眨眼时产生的,并将它们分类为不同类型的眨眼。我们选择了对眨眼大脑信号的研究,因为它们在现实生活中有着广泛的应用。我们的模型包括一个简单的算法,将用户产生的眨眼分为短暂的故意眨眼和长时间的故意眨眼。所提出模型的实验结果显示,准确率为96%,可以开发不需要实时控制的现实应用,如物联网设备。
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引用次数: 2
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Journal of Engineering and Applied Sciences
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