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Design of BLDC Motor Control Circuit for Electric Driver using UC3625 Controller IC 基于UC3625单片机的电动驱动器无刷直流电机控制电路设计
Pub Date : 2021-01-01 DOI: 10.7236/JIIBC.2021.21.4.129
Sungin Jeong
A power tool is a tool used to manufacture and process various structures using a motor that is a power source. Using a motor that uses electricity as a power source, a reduction device, power transmission and conversion device functions are built-in to make the tool rotate, reciprocate, and vibrate. It is a work tool designed to assist the user's movement skills. In the case of Korea, the power tool industry has a short history and is lagging behind advanced countries such as Germany, the United States, and Japan in terms of technology level, market share, and recognition. In addition, electric drivers used in Korea are foreign products from the US and European countries, and the domestic market also prefers 100% foreign companies, and multinational companies are investing a lot in the domestic market. Therefore, technological development must follow in order to develop domestic technology and secure a consistently high market share. The purpose of this thesis is to design a motor driver with high output performance of motor performance, miniaturization, and high speed in accordance with the basic performance requirements of power tools, and finally research developments that can be applied to industrial and medical applications.
电动工具是利用电机作为动力源制造和加工各种结构的工具。采用以电为动力源的电机,内置减速装置、动力传递和转换装置功能,使刀具旋转、往复、振动。这是一个工作工具,旨在帮助用户的运动技能。韩国的电动工具产业历史较短,在技术水平、市场占有率、认知度等方面都落后于德国、美国、日本等发达国家。此外,韩国使用的电动驱动器是来自美国和欧洲国家的外国产品,国内市场也更喜欢100%的外国公司,跨国公司在国内市场投入了大量资金。因此,为了发展国内技术并确保始终如一的高市场份额,必须进行技术开发。本论文的目的是根据电动工具的基本性能要求,设计出一种具有电机性能高、小型化、高速输出性能的电机驱动器,并最终研究出可应用于工业和医疗应用的电机驱动器。
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引用次数: 0
Control Technique of a Medical Bed for Ulcer Prevention Equipped with Body Pressure Sensors 装有体压传感器的溃疡预防病床控制技术
Pub Date : 2021-01-01 DOI: 10.7236/JIIBC.2021.21.2.89
M. Seon, Jie-Young Choi, Youngdae Lee
Pressure sores are an unresolved human challenge. In this study, a keyboard-type medical bed was developed and a body pressure sensor was installed to provide a method to control the keyboard so that the pressure sores do not reach the critical pressure. For this, a keyboard-type mattress using a 4bar link is developed, and a method of controlling the height adjustment of the keyboard within the critical pressure through a body pressure sensor is used. There is a feeling of discomfort in the body when the keyboard is raised and lowered from pressure sores, which is an important factor: pressure x time, and only time control is performed, but if the proposed method is used, pressure is controlled within the critical pressure, thereby preventing bedsores in a comfortable state. The effectiveness and validity of the developed medical bed system were verified through theories and experiments.
压疮是一个尚未解决的人类挑战。本研究开发了一种键盘式医疗床,并安装了人体压力传感器,提供了一种控制键盘的方法,使压疮不达到临界压力。为此,开发了一种采用4bar连杆的键盘式床垫,并采用了一种通过人体压力传感器在临界压力范围内控制键盘高度调节的方法。当键盘从褥疮上下升降时,身体有一种不适感,这是一个重要的因素:压力x时间,只进行时间控制,但如果采用本文提出的方法,将压力控制在临界压力内,从而防止褥疮处于舒适状态。通过理论和实验验证了所开发的病床系统的有效性和有效性。
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引用次数: 1
An Efficient Implementation of AES Encryption Algorithm for CCTV Image Security AES加密算法在CCTV图像安全中的有效实现
Pub Date : 2021-01-01 DOI: 10.7236/JIIBC.2021.21.2.1
Min-Sup Kang
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引用次数: 0
Analysis and Design of Cattle Management System based on IoT 基于物联网的养牛管理系统分析与设计
Pub Date : 2021-01-01 DOI: 10.7236/JIIBC.2021.21.2.125
Byung-ho Cho
Implementation of livestock smart-farm can be done more effectively with IoT technology developing. An build of useful stock management system can be if of judgement are notified on smart-phone after cattle’s illness and estrus are judged using IoT technology. These judgement method of cattle’s illness and estrus can be done with gathering living stock data using temperature sensor and 3 axis acceleration sensor and sending these data using IoT and internet network into server, and studying AI machine learning using these data. In this paper, to build this cattle management system based on IoT, effective system of the whole architecture is showed. Also an effective analysis and design method to develop this system software will be presented by showing user requirement analysis using object-oriented method, flowchart and screen design.
随着物联网技术的发展,家畜智能农场的实施可以更有效地完成。利用物联网技术对牛的病情和发情进行判断后,通过智能手机通知判断结果,可以构建有用的库存管理系统。这些牛的疾病和发情判断方法可以通过温度传感器和3轴加速度传感器收集牲畜数据,并通过物联网和互联网将这些数据发送到服务器,并利用这些数据研究人工智能机器学习来完成。本文以构建基于物联网的养牛管理系统为例,展示了整个体系结构的有效性。采用面向对象的方法进行用户需求分析,采用流程图设计和屏幕设计,为系统软件的开发提供了一种有效的分析设计方法。
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引用次数: 0
Design of a Smart Safety Enforcement System for Patients with Dementia 痴呆患者智能安全执行系统的设计
Pub Date : 2020-12-01 DOI: 10.7236/JIIBC.2020.20.6.59
Pi Kyoung Joon, Kyungmi Lee, Hong-Ki Min
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引用次数: 0
머신러닝 기법을 통한 대한민국 부동산 가격 변동 예측 通过机器学习预测韩国房地产价格变动
Pub Date : 2020-12-01 DOI: 10.7236/JIIBC.2020.20.6.15
남상현, 한태호, 김이주, 이은지
최근 부동산 시장에 대한 관심이 높다. 과거 주거환경으로만 여겨지던 부동산은 끊임없는 수요 증가로 안정적인 투자 대상으로 인식되고 있기 때문이다. 특히 국내 시장의 경우 인구 수의 감소에도 불구하고 1인 가구의 증가 및 대도시 로의 인구 유입이 가속화되며 수도권 중심으로 부동산 가격이 급격히 상승하고 현상이 나타나고 있다. 이에 미래 부동산 시장의 전망을 정확히 예측하는 것은 개인의 자산 관리 뿐 아니라 정부 정책 수립 등 사회 전반에 걸쳐 매우 중요한 사안이라고 할 수 있다. 본 논문에서는 머신러닝 기법을 활용해 과거 부동산 매매 데이터를 학습해 미래 부동산 시세를 예측하는 프로그램을 개발하였다. 한국감정원과 국토교통부에서 제공하는 대한민국 부동산 매매 시세 데이터를 활용하 였으며 지역별로 2022년도 평균 매매가 예측치를 제시한다. 개발된 프로그램은 오픈소스 형태로 공개하여 다양한 형태 로 활용될 수 있도록 하였다.
最近人们对房地产市场非常关注。因为过去只被认为是居住环境的房地产,随着需求的不断增加,被认为是稳定的投资对象。特别是,从国内市场的情况看,虽然人口数量有所减少,但随着1人家庭的增加及人口流入大城市的速度加快,以首都地区为中心,房地产价格正在急剧上升。对此,正确预测未来房地产市场的前景不仅是个人的资产管理,对政府政策的树立等整个社会都可以说是非常重要的事案。本论文利用机器学习技术,开发了学习过去房地产交易数据,预测未来房地产行情的程序。利用了韩国鉴定院和国土交通部提供的大韩民国房地产交易行情数据,并提出了2022年平均交易价格的预测值。开发的程序以开源形式公开,以多种形式使用。
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引用次数: 0
A study on the enhancement and performance optimization of parallel data processing model for Big Data on Emissions of Air Pollutants Emitted from Vehicles 车辆大气污染物排放大数据并行数据处理模型增强及性能优化研究
Pub Date : 2020-01-01 DOI: 10.7236/JIIBC.2020.20.6.1
Seong-In Kang, Sung-Youn Cho, Ji-Whan Kim, Hyeonmin Kim
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引用次数: 0
Classification Algorithm for Liver Lesions of Ultrasound Images using Ensemble Deep Learning 基于集成深度学习的超声图像肝脏病变分类算法
Pub Date : 2020-01-01 DOI: 10.7236/JIIBC.2020.20.4.101
Young-bok Cho
In the current medical field, ultrasound diagnosis can be said to be the same as a stethoscope in the past. However, due to the nature of ultrasound, it has the disadvantage that the prediction of results is uncertain depending on the skill level of the examiner. Therefore, this paper aims to improve the accuracy of liver lesion detection during ultrasound examination based on deep learning technology to solve this problem. In the proposed paper, we compared the accuracy of lesion classification using a CNN model and an ensemble model. As a result of the experiment, it was confirmed that the classification accuracy in the CNN model averaged 82.33% and the ensemble model averaged 89.9%, about 7% higher. Also, it was confirmed that the ensemble model was 0.97 in the average ROC curve, which is about 0.4 higher than the CNN model.
在目前的医学领域,超声诊断可以说和过去的听诊器一样。然而,由于超声的性质,它的缺点是结果的预测是不确定的,这取决于检查者的技术水平。因此,本文旨在通过基于深度学习技术提高超声检查中肝脏病变检测的准确性来解决这一问题。在本文中,我们比较了使用CNN模型和集成模型的病变分类精度。实验结果证实,CNN模型的平均分类准确率为82.33%,而ensemble模型的平均分类准确率为89.9%,分别高出约7%。同时,证实了集合模型在平均ROC曲线上为0.97,比CNN模型高0.4左右。
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引用次数: 1
A Study on the Functional Factors, Advertising Effect, and Satisfaction of Smartphone-based Shopping Brand App UI 基于智能手机的购物品牌App UI功能因素、广告效果及满意度研究
Pub Date : 2020-01-01 DOI: 10.7236/JIIBC.2020.20.5.97
H. Yoon
As smartphone app use and untact consumption activities become more common, a new consumption environment is starting. The purpose of this study is to measure preference and brand trust as an advertising effect through experience of UI functional factors of shopping brand app and to establish causal structural relationship to satisfaction.Based on theoretical research, the research model was set and the data of 223 people collected in the survey were analyzed using the SPSS 25.0 program.App UI functional factors partially affect advertising effects, and advertising effects have been found to affect satisfaction. This could provide basic research on marketing communications for brand shopping apps.
随着智能手机应用的使用和非接触式消费活动越来越普遍,一个新的消费环境正在开始。本研究的目的是通过体验购物品牌app的UI功能因素来衡量偏好和品牌信任作为广告效应,并建立其与满意度的因果结构关系。在理论研究的基础上,建立研究模型,使用SPSS 25.0软件对调查中收集的223人的数据进行分析。App UI功能因素部分影响广告效果,广告效果影响满意度。这可以为品牌购物应用的营销传播提供基础研究。
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引用次数: 0
Implementation of ECO Driving Assistance System based on IoT 基于物联网的ECO驾驶辅助系统实现
Pub Date : 2020-01-01 DOI: 10.7236/JIIBC.2020.20.2.157
Hyunwoo Song, Choi jin Ku
Recently, fine dust has been known to cause cardiovascular diseases here, raising interest in ways to reduce emissions by efficiently using fuel from cars that cause air pollution. Accordingly, a driving assistance system was developed to save fuel by eco-driving and improve the driver's bad driving habits. The system was developed using raspberry pi, arduino and Android. Using RPM, speed, fuel injection information obtained from OBD-II, and gyro-sensor values, Fuel-Cut is induced to create an optimal inertial driving environment. It also provides various information system such as weather, driving environment, and preventing drowsy driving through GUI and voice recognition functions. It is possible to check driving records and vehicle fault information using Android application and has low overhead for message transmission using MQTT protocol optimized for IoT environment.
最近,由于细颗粒物会引发心血管疾病,因此人们开始关注如何有效利用造成空气污染的汽车的燃料,从而减少排放。因此,开发了驾驶辅助系统,通过生态驾驶节省燃料,改善驾驶员的不良驾驶习惯。该系统是用树莓派、arduino和Android开发的。利用从OBD-II获得的RPM、速度、燃油喷射信息和陀螺仪传感器值,诱导fuel - cut创建最佳惯性驾驶环境。还通过GUI和语音识别功能,提供天气、驾驶环境、防止疲劳驾驶等多种信息系统。使用Android应用程序可以查看驾驶记录和车辆故障信息,使用针对物联网环境优化的MQTT协议,消息传输开销低。
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引用次数: 1
期刊
The Journal of the Institute of Webcasting, Internet and Telecommunication
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