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The Application Of Quick Response Code Technology To Promote Cultural Tourism: Case Study of San Pu Loie 快速响应码技术在促进文化旅游中的应用——以三浦娄为例
Q3 Engineering Pub Date : 2023-03-22 DOI: 10.1109/ECTIDAMTNCON57770.2023.10139491
S. Chernbumroong, Patnarin Korboon, Noppanut Wannapee
Cultural tourism is a type of tourism that aims to learn about the culture and way of life of indigenous peoples who have their own culture. Tambon San Pu Loei in Doi Saket District, Chiang Mai is also known as cultural tourism destination where tourist gain information and experience about historical and local people way of life. However, the report from local governments mentioned that tourists had difficulty acquiring information. As a result, the community lacked the ability to communicate the local knowledge in a variety of disciplines since improper storing of data sources and met the problem of coordinates not matching the actual location of the place. In this study, the two-dimensional bar code technology (QR Code) was improved and employed on location-based services for promoting the cultural tourism and utilizing to tackle the problem of tourists accessing information. 83 travelers were involved in this study. Satisfaction level is measured based on 3 parts: content, design, and useful. The overall result of tourist satisfaction who scanned the QR code and visited the website (www.dekdoi-travel.com) is also presented in this paper.
文化旅游是一种旅游,目的是了解文化和生活方式的土著人民谁拥有自己的文化。Tambon San Pu Loei在Doi Saket区,清迈也被称为文化旅游目的地,游客在那里获得有关历史和当地人生活方式的信息和体验。然而,当地政府的报告提到,游客很难获得信息。因此,由于数据源存储不当,社区缺乏沟通当地各种学科知识的能力,并且遇到了坐标与当地实际位置不匹配的问题。本研究将二维条码技术(QR code)改进并应用于地理定位服务,促进文化旅游,解决游客获取信息的问题。83名旅行者参与了这项研究。满意度是基于3个部分来衡量的:内容、设计和有用。本文还给出了扫描二维码访问网站(www.dekdoi-travel.com)的游客满意度的总体结果。
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引用次数: 0
Smart City Problem Analysis By Using Design Thinking 运用设计思维分析智慧城市问题
Q3 Engineering Pub Date : 2023-03-22 DOI: 10.1109/ECTIDAMTNCON57770.2023.10139672
P. Sureephong, Komalaporn Kummalue, S. Chernbumroong, Orathai Khiawcha-Um
The training Course under project “City Data Planner (CDP)” aimed to facilitate the change of sustainable smart city development. The local governance organization over 70 municipalities around Thailand were involved in the project. Knowledge and comprehension of city data is required to construct smart cities in multiple aspects. The utilization of information and technology to drive local government organizations has the potential to create a viable smart city. The aim of this paper is to survey the requirement of local government organization in order to adopt smart city technology in their workplace.
“城市数据规划师”项目下的培训课程旨在促进可持续智慧城市发展的变化。泰国70多个城市的地方治理组织参与了该项目。智慧城市的建设需要对城市数据的认识和理解。利用信息和技术来推动地方政府组织有可能创建一个可行的智慧城市。本文的目的是调查当地政府组织在其工作场所采用智慧城市技术的要求。
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引用次数: 0
Identification of SOZ and Influence on Neutral Current and Flux Distribution Capability in a Y-y Power Transformer Subjected to DC Bias 直流偏置对Y-y型电力变压器中性点电流和磁通分布能力的影响
Q3 Engineering Pub Date : 2023-03-22 DOI: 10.1109/ECTIDAMTNCON57770.2023.10139765
S. K., T. Chelliah
In line with the advancement in technology there is an extensive use of power electronics in the power systems as the demand for more efficient and smart energy grows. The widespread use of power electronics in power transformers can introduce dc bias into the system, causing it to change operating point, generate harmonics and increase excitation current. In this work we have modeled a Y-y type 11kV/433V natural air-cooled power transformer using Ansys Maxwell software. This model has been analyzed using the finite element method. A comprehensive analysis of the flux distribution capability and the influence on the neutral current in a dc biased transformer was performed. This study provides new insights into various zones of operation of the dc biased transformer. The resulting nonlinearity of operation with increasing dc bias could lead in leakage flux, neutral current, and losses, causing a lower lifetime expectancy and poor power quality over time. Collectively, our analysis demonstrates that identifying different operating zones and operating the transformer in the safe operating zone (SOZ) can extend the life of a transformer while also providing significant safety and reliability benefits.
随着技术的进步,随着对更高效、更智能的能源需求的增长,电力电子技术在电力系统中得到了广泛的应用。电力电子设备在电力变压器中的广泛应用,会将直流偏置引入系统,使其改变工作点,产生谐波,增加励磁电流。本文利用Ansys Maxwell软件对Y-y型11kV/433V自然风冷电力变压器进行建模。对该模型进行了有限元分析。综合分析了直流偏置变压器的磁通分布能力及其对中性点电流的影响。该研究为直流偏置变压器的各种运行区域提供了新的见解。随着直流偏置的增加,由此产生的非线性操作可能导致漏磁、中性电流和损耗,从而导致较低的预期寿命和较差的电能质量。总的来说,我们的分析表明,确定不同的操作区域并在安全操作区域(SOZ)中运行变压器可以延长变压器的使用寿命,同时也提供了显著的安全性和可靠性优势。
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引用次数: 1
Multi-Class Classification of Metabolic Syndrome Group Using Gradient Boosting 梯度增强法在代谢综合征组多分类中的应用
Q3 Engineering Pub Date : 2023-03-22 DOI: 10.1109/ECTIDAMTNCON57770.2023.10139537
Captain Sukchayanan, Sujitra Arwatchananukul, P. Temdee
Currently, metabolic syndrome, the leading cause of most of non-communicable diseases, has been overlooked because it is common and does not cause illness at the early stage. The purpose of this study was to classify the group of metabolic syndromes including diabetes, cardiovascular disease, and high blood pressure using machine learning based method. The data was collected from three sub-districts in the province of Chiang Rai: Mae Khao Tom, Nang Lae, and Tha Sud totally 1,605 records. The Gradient Boosting is proposed for the multi-class classification model. From the comparison results with other existing methods, including Random Forest, Extra Trees, K-nearest Neighbor, Support Vector Machines, and Decision Trees, Gradient Boosting outperforms other existing methods having 95.27% accuracy, 95.24% precision, 95.26% recall, and 95.24% F1 score, respectively.
代谢综合征是大多数非传染性疾病的主要病因,但目前却被忽视了,因为它很常见,不会在早期引起疾病。本研究的目的是使用基于机器学习的方法对代谢综合征组进行分类,包括糖尿病、心血管疾病和高血压。数据收集自清莱省的三个街道:湄考汤姆、南莱和Tha Sud,共计1605份记录。针对多类分类模型,提出了梯度增强方法。从与随机森林、额外树、k近邻、支持向量机和决策树等现有方法的比较结果来看,Gradient Boosting的准确率为95.27%,精密度为95.24%,召回率为95.26%,F1得分为95.24%,均优于其他现有方法。
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引用次数: 0
Communication System for Sharing and Providing Information about Threats and Incidents on Transport Infrastructure Elements 共享和提供有关运输基础设施要素威胁和事故信息的通信系统
Q3 Engineering Pub Date : 2023-03-22 DOI: 10.1109/ECTIDAMTNCON57770.2023.10139737
L. Michalcová, D. Rehak, M. Hromada
Transport infrastructure currently faces many anthropogenic threats, resulting in an increasing number of security incidents. These are, for example, attacks with explosives or firearms in the premises of railway stations and connected transport infrastructures, e.g. in the premises of airports or bus terminals. For this reason, it is essential that the owners or operators of these transport infrastructure elements have an effective tool for the timely sharing and provision of information about threats and incidents on transport infrastructure elements. For this purpose, this article presents a list of the affected entities of the transport infrastructure and the content page of the information that should be shared and transmitted between these entities. The supporting part of the article is the design of the sharing process and providing information about threats/incidents and the design of a communication system and suitable technical means for sharing and providing information about threats.
交通基础设施目前面临许多人为威胁,导致安全事件日益增多。例如,用炸药或火器袭击火车站和相关运输基础设施的房地,例如机场或公共汽车总站的房地。因此,这些交通基础设施要素的所有者或经营者必须拥有一个有效的工具,以便及时分享和提供有关交通基础设施要素的威胁和事件的信息。为此,本文列出了受运输基础设施影响的实体,以及应该在这些实体之间共享和传输的信息的内容页。文章的支撑部分是对威胁/事件的共享过程和信息提供的设计,以及对共享和提供威胁信息的通信系统和合适的技术手段的设计。
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引用次数: 0
Requirement Traceability Matrix for SaaS Development SaaS开发的需求跟踪矩阵
Q3 Engineering Pub Date : 2023-03-22 DOI: 10.1109/ECTIDAMTNCON57770.2023.10139478
Kittititouch Suteeca
Very small entities (VSEs) have experienced numerous difficulties in the midst of the extremely competitive software market. They typically manifest as increased customer expectations, frequent changes in user needs, and the need for rapid deployment. The most popular choice for development architecture is software as a service (SaaS). It can replace the role of an outdated system and react immediately to user input. The service delivery standard ISO/IEC 29110-4-3 outlines the process for implementing services while guaranteeing their quality. In this study, the requirement traceability matrix was designed to solve the requirement of service problems.
在竞争激烈的软件市场中,非常小的实体(vse)经历了许多困难。它们通常表现为客户期望的增加、用户需求的频繁变化以及对快速部署的需求。开发体系结构最流行的选择是软件即服务(SaaS)。它可以取代过时系统的角色,并立即对用户输入作出反应。服务提供标准ISO/IEC 29110-4-3概述了在保证服务质量的同时实施服务的过程。在本研究中,设计了需求可追溯矩阵来解决服务需求问题。
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引用次数: 0
Netrahitha: Currency Detector Jacket for visually impaired people Netrahitha:为视障人士设计的货币侦测夹克
Q3 Engineering Pub Date : 2023-03-22 DOI: 10.1109/ECTIDAMTNCON57770.2023.10139655
Abhishek Koti, A. Khare, J. P. Kumar
Many people in India are subjected to visual impairment and blindness which are not curable. Most of such people are poor and cannot afford digital equipment for assistance. Visually Impaired or visually challenged people face a lot of difficulty in recognizing the paper currencies during their financial transactions due to the similar texture of paper and dimensions of currency notes. This makes it time-consuming, complex and erroneous at times. The proposed framework is to help visually impaired or blind people by providing them with digital assistance, which will take a photo of the note and notify the user the denomination via speech medium.
在印度,许多人患有无法治愈的视力障碍和失明。这些人大多很穷,买不起数字设备。由于纸币的质地和尺寸相似,视障人士或视障人士在金融交易中识别纸币时面临很大困难。这使得它耗时,复杂,有时甚至是错误的。该框架是为了帮助视障人士或盲人,为他们提供数字援助,该援助将拍摄钞票并通过语音媒介通知用户面额。
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引用次数: 0
Industrial requirements analysis for Excellence Center setting-up and curriculum design in Industry 4.0 context 工业4.0背景下卓越中心建立与课程设计的行业需求分析
Q3 Engineering Pub Date : 2023-03-22 DOI: 10.1109/ECTIDAMTNCON57770.2023.10139488
S. Wicha, P. Temdee, Chayapol Kamyod, R. Chaisricharoen, J. Thiriet, H. Yahoui
The needs of industrial workforces have changed in the Industry 4.0 era. The knowledge worker in charge of information systems and internal operations was divided into different roles, and they each used different working methods and concepts. Despite this, Industry 4.0's consolidation has promoted the growth of servicing workforce with both computational complexity and equipment maintenance skills. An industrial requirements analysis is conducted in this paper to identify the key skills and competencies needed for setting up and designing an Excellence Center in the context of Industry 4.0. A diverse group of industry experts are surveyed to gather their insights on the most important areas of focus for such a center. The findings indicate that the key competencies needed for success in an Industry 4.0 setting include digital literacy, data analysis, and the ability to work with advanced technologies such as artificial intelligence and the Internet of Things. Based on these findings, a curriculum for the Excellence Center is proposed that prioritizes these competencies and includes hands-on training and practical experience. Overall, this paper contributes to the understanding of the requirements for Industry 4.0 and provides a roadmap for setting up and designing an Excellence Center to meet these requirements.
在工业4.0时代,工业劳动力的需求发生了变化。负责信息系统和内部操作的知识工作者被划分为不同的角色,每个角色使用不同的工作方法和概念。尽管如此,工业4.0的整合促进了计算复杂性和设备维护技能的服务劳动力的增长。本文进行了工业需求分析,以确定在工业4.0背景下建立和设计卓越中心所需的关键技能和能力。我们调查了一群不同的行业专家,以收集他们对这样一个中心最重要的关注领域的见解。调查结果表明,在工业4.0环境中取得成功所需的关键能力包括数字素养、数据分析以及使用人工智能和物联网等先进技术的能力。基于这些发现,卓越中心的课程建议优先考虑这些能力,并包括动手培训和实践经验。总体而言,本文有助于理解工业4.0的需求,并提供了建立和设计卓越中心以满足这些需求的路线图。
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引用次数: 0
Smart Textiles for Biomedical Applications 生物医学应用智能纺织品
Q3 Engineering Pub Date : 2023-03-22 DOI: 10.1109/ECTIDAMTNCON57770.2023.10139695
M. Sikka, Suresh Kumar, Samridhi Garg
People are becoming more health conscious after pandemic and as a result, smart textile based biomedical devices are becoming popular among people. By incorporating electrical components into the textile items humans use every day, a new hybrid area called “smart textiles for biomedical applications” has been created. Along with conventional textile apparel, these wearable e-textiles provide user-defined applications. One of the main application areas for these new hybrid goods is the medical industry, and rather developed items may be seen both in the lab and on the market. These solutions are made to meet both the specific needs of individual patients as well as continuous patient monitoring in large healthcare facilities. These goods are also being utilised to substitute traditional ways and for complicated medical treatments in the interim. Major focus areas are the smart textiles that are able to measure Electrocardiogram (ECG), Electroencephalogram (EEG), Electromyography (EMG), Electrooculography (EOG), Respiration measurement, Body temperature measurement, Blood pressure measurement, Blood glucose measurement, Sleep analysis. Huge number of researchers across the globe are continuously working for advancement in smart textile based biomedical devices but due to huge manufacturing costs, most of the proposed products are not practically feasible. Another major issue is effectiveness of the sensors after washing as most of such devices are wearable e-textiles, where textile fibres are turned in to conductive materials by using various type of coatings. More dedicated interdisciplinary efforts are required form electronics, medical and textile experts for reduction of manufacturing cost and making the products practically feasible and affordable.
大流行后,人们的健康意识越来越强,基于智能纺织品的生物医学设备受到人们的欢迎。通过将电子元件整合到人类日常使用的纺织品中,创建了一个名为“生物医学应用智能纺织品”的新混合领域。除了传统的纺织服装,这些可穿戴的电子纺织品还提供用户定义的应用。这些新型混合产品的主要应用领域之一是医疗行业,在实验室和市场上都可以看到相当发达的产品。这些解决方案既可以满足个体患者的特定需求,也可以满足大型医疗机构对患者的持续监测。在此期间,这些物品也被用来替代传统方法和复杂的医疗方法。主要关注的领域是能够测量心电图(ECG)、脑电图(EEG)、肌电图(EMG)、眼电图(EOG)、呼吸测量、体温测量、血压测量、血糖测量、睡眠分析的智能纺织品。全球大量的研究人员不断致力于智能纺织品生物医学设备的发展,但由于巨大的制造成本,大多数提议的产品在实际应用中并不可行。另一个主要问题是传感器在洗涤后的有效性,因为大多数此类设备是可穿戴电子纺织品,其中纺织纤维通过使用各种类型的涂层变成导电材料。电子、医疗和纺织专家需要作出更专门的跨学科努力,以降低制造成本,使产品切实可行和负担得起。
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引用次数: 0
A Deep Learning Approach for Locating Microalgae in Image Captured by Smartphone and Digital Microscope Camera 智能手机和数码显微镜相机图像中微藻定位的深度学习方法
Q3 Engineering Pub Date : 2023-03-22 DOI: 10.1109/ECTIDAMTNCON57770.2023.10139572
Nitiphong Kaewman, Phasit Charoenkwan, Jinnapat Yana, Phon-ubon Suanoi, K. Duangjan, J. Pekkoh, Chayakorn Pumas
The utilization of microalgae as a bioindicator for water quality assessment has traditionally relied on the expertise of morphological identification. With the advent of technological advancements, particularly the smartphone camera, there has been increasing interest in using it as a tool for various fields of microbiological and medical diagnostics, including image analysis of microalgae. Despite the growing popularity of smartphone-based image analysis, the image quality of smartphone cameras for detecting microalgae has yet to be thoroughly evaluated. Therefore, the purpose of this study was to investigate the suitability of smartphone-based camera for collecting microalgae images and compare it to that of a digital microscope camera. Additionally, the effect of different microscopic magnifications at 100x and 400x on model performance was thoroughly studied. Four models, YOLOv5, RetinaNet, EfficientDet, and Faster-RCNN, were trained on microalgae image datasets taken by both a smartphone camera (SC) and a digital microscope camera (DMC) under 100x and 400x magnification. A total of 11,608 images were divided into three parts: train (70%), validation (10%), and test (20%), with the test dataset separated into four parts for each device and magnification. The results of the study indicated that Faster-RCNN was the best model for microalgae detection, with the highest average precision $(mathbf{AP}^{0.5})$ values of 0.60, 0.84, 0.91, and 0.96 at 100x magnification of SC and DMC and 400x magnification of SC and DMC, respectively. The comparison between the image quality of SC and DMC at each magnification revealed that the SC was less suitable for microalgae identification, particularly at 100x magnification. Conversely, the 400x magnification of SC had the potential to identify microalgae through the use of smartphone-based photography, as well as digital microscope camera.
利用微藻作为水质评价的生物指标,传统上依赖于形态学鉴定的专业知识。随着技术的进步,特别是智能手机相机的出现,人们越来越有兴趣将其作为微生物和医学诊断各个领域的工具,包括微藻的图像分析。尽管基于智能手机的图像分析越来越受欢迎,但用于检测微藻的智能手机相机的图像质量尚未得到彻底的评估。因此,本研究的目的是探讨智能手机相机采集微藻图像的适用性,并将其与数码显微镜相机进行比较。此外,还深入研究了100倍和400倍不同放大率对模型性能的影响。利用智能手机相机(SC)和数码显微镜相机(DMC)在100倍和400倍放大率下拍摄的微藻图像数据集,对YOLOv5、RetinaNet、EfficientDet和Faster-RCNN四种模型进行了训练。将11,608张图像分为训练(70%)、验证(10%)和测试(20%)三个部分,其中测试数据集根据每个设备和放大倍数分为四部分。研究结果表明,fast - rcnn是微藻检测的最佳模型,在SC和DMC的100倍放大倍数和400倍放大倍数下,其平均精度$(mathbf{AP}^{0.5})$分别为0.60、0.84、0.91和0.96。SC和DMC在各倍率下的图像质量比较表明,SC不太适合微藻鉴定,特别是在100倍倍率下。相反,SC的400倍放大率有可能通过使用基于智能手机的摄影以及数码显微镜相机来识别微藻。
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引用次数: 0
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Transactions on Electrical Engineering, Electronics, and Communications
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