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2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)最新文献

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Unrepeated of Test Tap Capacitance New RIP Bushings 不可重复测试抽头电容新RIP衬套
Pub Date : 2021-04-01 DOI: 10.1109/ICEAST52143.2021.9426311
Suthat Suksagoolpanya, N. Pattanadech
Capacitance testing is the most important for the service bushing condition assessment. However, for the new Resin Impregnated Paper (RIP) bushing used in EGAT, the repeatable test result quite deviates. The aim of this paper is to investigate the root cause of the unrepeated testing values of the test tap capacitance for the installed new RIP bushings compared with factory values. The measurement results of test tap capacitance were collected from ten installed 123 kV bushings. Those results deviated from the factory values of approximately 33%. A new RIP bushing was used to set up the laboratory test experiment. The laboratory test used a portable insulation power test set to measure the test tap capacitance. The aluminum foil and the sheet metal were used to wrap around the bottom part of the bushing for simulation of the ground electrode and leakage current guarding. Onsite measurement was performed with an installed bushing with BCT (bushing current transformer) by grounding BCT and guarding of the leakage current of BCT. It was found that the test tap capacitance was decreased with increasing the diameter of the simulated ground electrode and decreased with the application of the leakage current guarding. The test results showed that the bottom part of the RIP bushings without the ground sleeve and conditions of BTC such as the diameter of bushing pocket, installation with or without BCT mainly impacted the unrepeated test tap capacitance.
电容测试是评价服役衬套状态的重要手段。然而,对于用于EGAT的新型树脂浸渍纸(RIP)衬套,可重复性测试结果偏差较大。本文的目的是调查安装的新RIP套管的测试抽头电容与出厂值相比没有重复测试值的根本原因。测试分接电容的测量结果收集了10个安装的123 kV套管。这些结果偏离出厂值约33%。采用一种新型RIP衬套进行了室内试验。实验室测试使用便携式绝缘功率测试仪测量测试抽头电容。用铝箔和金属板包裹套管底部,模拟接地电极和漏电流保护。现场测量是在安装有BCT(套管电流互感器)的套管上进行的,通过BCT接地和保护BCT的泄漏电流。结果表明,试验抽头电容随模拟接地电极直径的增大而减小,随漏电流保护装置的加入而减小。试验结果表明,不带接地套筒的RIP套管底部、套管袋直径、是否安装BCT等BTC条件对未重复测试抽头电容影响较大。
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引用次数: 0
Transformation from Web Pages to Optimal Normal Form Database Schema Using a Conceptual Schema Approach 使用概念模式方法从Web页面转换到最优范式数据库模式
Pub Date : 2021-04-01 DOI: 10.1109/ICEAST52143.2021.9426306
O. Y. Yuliana, S. Chittayasothorn
Web pages and their embedded documents are a good source of information. However, issuing complex queries directly on web pages using direct pattern-matching techniques are challenging tasks that require lengthy procedural programming. Also, programmers working directly on web pages are in charge of the search path and routing, which depend on individual document structures and affect the correctness, completeness, and performance of the results. In contrast, relational databases are well-structured and backed by mathematical principles. Well-designed relational database structures are known to be anomalies-free. The standard relational database language, SQL, is a non-procedural language that defines the required results precisely. Query results are both correct and complete. Performance issues are handled by intelligent query optimizers employed by modernday Database Management System (DBMS). This paper suggests an approach that transforms documents embedded on web pages in HTML format to corresponding relational database structures and populations. Functional dependencies (FDs) and multi-valued dependencies (MVDs) obtained from documents on the webpages are used to construct conceptual schema diagrams, which are further transformed into the Optimal Normal Form (ONF) relational database structures. In this research project, the Object Role Model (ORM) conceptual schema model is employed. The paper discusses the ORM and the rationales behind its usage. The detection of FDs and MVDs from webpage documents and the technical properties of the ONF relational database structures. Illustrated examples are also provided.
网页及其嵌入的文档是很好的信息来源。然而,使用直接模式匹配技术直接在web页面上发出复杂的查询是具有挑战性的任务,需要冗长的过程编程。此外,直接在网页上工作的程序员负责搜索路径和路由,这取决于单个文档结构,并影响结果的正确性、完整性和性能。相反,关系数据库结构良好,并以数学原理为基础。众所周知,设计良好的关系数据库结构是无异常的。标准的关系数据库语言SQL是一种非过程性语言,它精确地定义所需的结果。查询结果正确、完整。性能问题由现代数据库管理系统(DBMS)使用的智能查询优化器处理。本文提出了一种将嵌入在HTML格式网页上的文档转换为相应的关系数据库结构和种群的方法。利用从网页文档中获取的功能依赖关系(fd)和多值依赖关系(mvd)构建概念模式图,并将其转化为最优范式(ONF)关系数据库结构。本研究采用对象角色模型(ORM)概念图式模型。本文讨论了ORM及其使用背后的原理。网页文档中fd和mvd的检测及ONF关系数据库结构的技术特性。还提供了举例说明。
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引用次数: 0
A Survey of using Computational Intelligence (CI) and Artificial Intelligence (AI) in Human Resource (HR) Analytics 计算智能(CI)和人工智能(AI)在人力资源分析中的应用综述
Pub Date : 2021-04-01 DOI: 10.1109/ICEAST52143.2021.9426269
Nanta Sooraksa
Human Resource (HR) Analytics has been increasingly attracted attention for a past decade. This is because the study field is adopted data-driven approaches to be processed and interpreted for meaningful insights in human resources. The field is involved in HR decision making helping to understand why people, organization, or other business performance behaved the way they do. Embracing the available tools for decision making and learning in the field of computational intelligence (CI) and Artificial Intelligence (AI) to the field of HR, this creates tremendous opportunities for HR Analytics in practical aspects. However, there are still inadequate applications in this area. This paper serves as a survey of using the tools and their applications in HR involving recruitment, retention, reward and retirement. An example of using CI and AI for career development and training in the era of disruption is conceptually proposed.
在过去的十年里,人力资源分析越来越受到人们的关注。这是因为该研究领域采用数据驱动的方法进行处理和解释,以获得人力资源方面有意义的见解。该领域涉及人力资源决策,帮助理解为什么人,组织或其他业务绩效表现的方式。将计算智能(CI)和人工智能(AI)领域的决策和学习可用工具纳入人力资源领域,这为人力资源分析在实际方面创造了巨大的机会。然而,在这方面的应用仍然不足。本文对这些工具在人力资源招聘、保留、奖励和退休方面的应用进行了综述。从概念上提出了一个在颠覆时代使用CI和AI进行职业发展和培训的例子。
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引用次数: 3
Green Hydrogen: Production Methodology, Applications and Challenges in Nepal 绿色氢:尼泊尔的生产方法、应用和挑战
Pub Date : 2021-04-01 DOI: 10.1109/ICEAST52143.2021.9426300
B. Mali, Dayasagar Niraula, Ranjeet Kafle, A. Bhusal
As of 2020, more than 1,250 MW of renewable energy has already been integrated into the Integrated Nepal Power System (INPS). With another 3,150 MW of hydropower projects under construction, the domestic electricity demand is forecasted to be much lower than its production within a few years. As this added capacity is on the horizon, the Nepalese government needs to prioritize domestic utilization of generated power over exporting the excess generation to the international market. One of the means for this is introducing hydrogen technology in the Nepalese market. This paper discusses suitable hydrogen production methodology, particularly green hydrogen via electrolysis and further encompasses the areas of hydrogen where it could play a pivotal role in case of Nepal. Cost analysis of hydrogen production is also conducted for 50kW to 500kW system. However, as hydrogen technology is still in its infancy, a well-informed selection of technology should be emphasized for the production of hydrogen in the context of Nepal. Attributes such as high energy density and transportability make hydrogen a suitable energy carrier. Further, better energy management can be achieved with the use of fuel cells.
截至2020年,超过1250兆瓦的可再生能源已被纳入尼泊尔综合电力系统(INPS)。另外还有3150兆瓦的水电项目正在建设中,预计几年内国内电力需求将远远低于其产量。随着新增容量的出现,尼泊尔政府需要优先考虑国内发电的利用,而不是将多余的发电出口到国际市场。实现这一目标的手段之一是在尼泊尔市场引入氢技术。本文讨论了合适的氢气生产方法,特别是通过电解产生的绿色氢气,并进一步涵盖了氢气领域,在尼泊尔的情况下,它可以发挥关键作用。对50kW ~ 500kW系统的制氢成本进行了分析。然而,由于氢技术仍处于起步阶段,应强调在尼泊尔生产氢的情况下明智地选择技术。高能量密度和可运输性等特性使氢成为合适的能量载体。此外,使用燃料电池可以实现更好的能源管理。
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引用次数: 7
A Simple and Compact Transimpedance Mode dc Bridge Readout 一个简单和紧凑的跨阻模式直流桥式读出器
Pub Date : 2021-04-01 DOI: 10.1109/ICEAST52143.2021.9426268
S. Buakaew, W. Narksarp, C. Wongtaychatham
This paper presents a new circuit configuration of a transimpedance mode dc bridge based on an operational trans-resistance amplifier (OTRA) as an analog building block. The proposed circuit suits for small changing resistance detector. By taking the benefit of grounding property at the internal input port of the OTRA, a simple and compact dc bridge is obtained. The proposed circuit is composed of two sensing components together with a feedback resistor and only one operational trans-resistance amplifier. The circuit performances are verified by the PSPICE simulation using 0.35 $mu$m CMOS technology model parameters. The simulation results from circuit level agree well with the theoretical values.
本文提出了一种基于运算跨阻放大器(OTRA)作为模拟模块的跨阻型直流电桥的新电路结构。该电路适用于小变化电阻检测器。利用OTRA内部输入端口的接地特性,得到了一种简单紧凑的直流电桥。该电路由两个传感元件、一个反馈电阻和一个操作跨阻放大器组成。采用0.35 $mu$m CMOS工艺模型参数,通过PSPICE仿真验证了电路的性能。电路级的仿真结果与理论值吻合较好。
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引用次数: 0
A Bitemporal SQL Database Design Method from the Enhanced Entity-Relationship Model 基于增强实体-关系模型的双时态SQL数据库设计方法
Pub Date : 2021-04-01 DOI: 10.1109/ICEAST52143.2021.9426270
Vo Thi Ngoc Chau, S. Chittayasothorn
Recently temporal supports have been included in the SQL standards, leading to a great bridge between research works and real-world applications. However, showing this bridge in practice needs to be considered more. Such a shortage needs to be resolved due to the fact that time is ubiquitous in every application domain. In this paper, we propose a novel design method to design a bitemporal SQL database from an enhanced-entity-relationship schema. From this conceptual schema, a bitemporal SQL database schema is defined automatically. As a theoretical evaluation, our proposed method is novel in the following points. Firstly, although the method is dedicated to bitemporal databases, its starting point is with the enhanced entity-relationship model which is so popular that practicing database designers can work with it well. Secondly, its temporal supports are explicitly extracted and included in the data model mapping in an automatic manner. The automatic mapping process is based on topological sorting and thus performed in a certain sequence to derive a bitemporal SQL database schema with the SQL temporal support. Above all, our method helps easily deploy bitemporal databases in real-world applications. Indeed, its illustration has been shown comprehensively for VNUMED, an intermediate research medical database.
最近,SQL标准中包含了时态支持,从而在研究工作和实际应用之间架起了一座巨大的桥梁。然而,在实践中展示这一桥梁需要更多的考虑。由于时间在每个应用程序领域都是普遍存在的,因此需要解决这种短缺。本文提出了一种基于增强实体-关系模式的双时态SQL数据库设计方法。从这个概念模式中,自动定义双时态SQL数据库模式。作为一个理论评价,我们提出的方法在以下几个方面是新颖的。首先,虽然该方法是针对双时态数据库的,但它的出发点是增强的实体-关系模型,这种模型非常流行,实践数据库设计人员可以很好地使用它。其次,显式地提取其时态支持,并以自动方式将其包含在数据模型映射中。自动映射过程基于拓扑排序,按照一定的顺序执行,从而派生出具有SQL时态支持的双时态SQL数据库模式。最重要的是,我们的方法有助于在实际应用程序中轻松部署双时态数据库。事实上,它的例证已被VNUMED,一个中间研究医学数据库全面展示。
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引用次数: 0
Automatic Transfer Function Improvement based on Genetic Algorithm 基于遗传算法的自动传递函数改进
Pub Date : 2021-04-01 DOI: 10.1109/ICEAST52143.2021.9426275
Nattapong Paenoi, S. Sitjongsataporn
This paper presents the automatic transfer function improvement based on the genetic algorithm for searching the optimal transfer function. A traditional genetic algorithm is modified to perform the searching process. The proposed chromosome design is presented in the form of 15-bit supported the resistance and inductance. Transfer function is used to design and control the systems. The optimal fitness function is used for the objective function of system to optimize the transfer function. Experiment results show that the second order of automatic transfer function performed by the genetic algorithm can achieve more accuracy than the traditional first order transfer function process. By the process improvement using the genetic algorithm, the time is used for searching transfer function with the chromosome design under the optimal fitness function by the genetic algorithm is approximately 13.35 seconds.
提出了一种基于遗传算法的自动传递函数改进方法,用于搜索最优传递函数。改进了传统的遗传算法来执行搜索过程。提出的染色体设计以15位支持电阻和电感的形式提出。利用传递函数对系统进行设计和控制。采用最优适应度函数作为系统的目标函数,对传递函数进行优化。实验结果表明,遗传算法执行的二阶自动传递函数比传统的一阶传递函数处理具有更高的精度。通过遗传算法的过程改进,遗传算法在最优适应度函数下对染色体设计的传递函数进行搜索的时间约为13.35秒。
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引用次数: 1
The performance of Machine Learning on Low Resolution Image Classifier 机器学习在低分辨率图像分类器上的性能
Pub Date : 2021-04-01 DOI: 10.1109/ICEAST52143.2021.9426271
J. Ngernplubpla, Kulwarun Warunsin, O. Chitsobhuk
The ability of machine learning has become a very famous and important technique for discovering statistically significant patterns in the available data. In this paper, we presented the gradient profile spectral characteristics classification on vertical and horizontal gradient acceleration data, Edge Sketch Image and The Relational Gradient Direction data in low-resolution image input. Various training datasets were learned by CatBoost Classifier to created gradient profile priors. This technique was boosting schemes help to reduce over fitting and improves quality of the model. Due to symmetric tree structure of the CatBoost, it provided fast inference and accelerated the implementation. Several predictive and conventional classification techniques were chosen for performance comparison. The experimental results demonstrated performance improvement in classification of the frequency level area in various image characteristics.
机器学习的能力已经成为在可用数据中发现统计显著模式的一种非常著名和重要的技术。本文提出了低分辨率图像输入中垂直和水平梯度加速度数据、边缘草图图像和相关梯度方向数据的梯度轮廓光谱特征分类方法。CatBoost分类器学习各种训练数据集来创建梯度轮廓先验。这种技术是促进方案有助于减少过度拟合和提高模型的质量。由于CatBoost的对称树结构,它提供了快速的推理,加快了实现速度。选择了几种预测和传统分类技术进行性能比较。实验结果表明,该方法在不同图像特征的频率水平区域分类方面有一定的提高。
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引用次数: 0
Environment Control using Forecasting Algorithm by Real Time Data Analysis for Automatic Cultivation System 基于实时数据分析预测算法的自动栽培系统环境控制
Pub Date : 2021-04-01 DOI: 10.1109/ICEAST52143.2021.9426273
P. Juleang, S. Mitatha
A new automatic cultivation system was proposed using a forecasting algorithm for environmental control. Information used for the forecast was taken from real time data obtained by a wireless sensor system. The objective was the automation of suitable environmental cultivation methods. The proposed forecasting algorithm used historical data to predict future environmental control according to its goals. A real system was implemented and constructed to test the hypothesis. Results showed that the system had the required features. Environmental controls of the original system were compared with the proposed algorithm according to the created thresholds. The proposed forecasting algorithm controlled humidity in the soil at 98.26%, while the original system recorded do 69.33%, with humidity in the air controlled at 93.87% compared to the original system at 48.96%. This algorithm will be very useful to promote sustainable agriculture.
提出了一种采用预测算法进行环境控制的新型自动栽培系统。用于预报的信息是从无线传感器系统获得的实时数据中获取的。目标是实现适宜环境栽培方法的自动化。提出的预测算法利用历史数据对未来环境控制目标进行预测。我们构建了一个真实的系统来验证这一假设。结果表明,该系统具有所需的功能。根据所创建的阈值,将原始系统的环境控制与提出的算法进行比较。提出的预测算法将土壤湿度控制在98.26%,而原系统的湿度控制在69.33%;将空气湿度控制在93.87%,而原系统的湿度控制在48.96%。该算法将对促进可持续农业非常有用。
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引用次数: 0
Train Service Planning Prototype Model For Thailand Hi-Speed Train 泰国高铁列车服务规划原型模型
Pub Date : 2021-04-01 DOI: 10.1109/ICEAST52143.2021.9426301
Kiatnarong Tongprasert, Kanut Tangtisanon
Due to the efficiency of the transportation system is very important for a developing country’s economy. Good management transportation services will help agencies provide sustainability services and for users satisfied. This research has two purposes: (1) to study the usage of large data to design hispeed train service and (2) to create a prototype model for hispeed train service from the master country to get the most benefit from applying for service in Thailand. The Country that has been brought to study for modeling is Japan. The data used in this research will consist of all hi-speed rail service information that is currently available and demographic. These data process by using big data technology and machine learning to help study. After studying we selected 2 suitable models to be used for creating prototype models: multiple linear regression and regression tree. The model predictive performance shows that the multiple linear regression model, which uses the mean square error to test the comparison between the baseline. This model presented in this research is significantly more accurate than baseline with confidence at 95% and from cross-validation in the training dataset. The best predictions have found that the data group consists of demographic data and service information. This model can accurately predict the amount of transportation per day. The findings from this study may directly benefit Thailand’s hi-speed train planners in their effort to develop an optimal train schedule and reduce the future train fare in Thailand.
由于交通运输系统的效率对一个发展中国家的经济是非常重要的。良好的运输服务管理将有助于机构提供可持续的服务并使用户满意。本研究有两个目的:(1)研究利用大数据进行高速列车服务设计;(2)建立主干道高速列车服务的原型模型,以获得泰国申请服务的最大效益。被带去学习模特的国家是日本。本研究中使用的数据将包括目前可用的所有高速铁路服务信息和人口统计信息。这些数据处理通过使用大数据技术和机器学习来帮助学习。经过研究,我们选择了2个合适的模型来创建原型模型:多元线性回归和回归树。该模型的预测性能表明采用多元线性回归模型,其中采用均方误差对基线之间的比较进行检验。本研究中提出的模型比基线更准确,置信度为95%,并且在训练数据集中进行交叉验证。最好的预测发现,数据组由人口统计数据和服务信息组成。这个模型可以准确地预测每天的运输量。这项研究的结果可能直接有利于泰国高铁规划者制定最佳列车时刻表和降低泰国未来的火车票价。
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引用次数: 0
期刊
2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST)
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