• Journal of agricultural medicine and community health
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• v.18 no.2
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• pp.121-129
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• 1993

This study was conducted to investigate the incidence and related factors of farming tool-machinery injuries developed in the Chonnam rural area in 1992. A total of 9,068 persons (4,571men and 4,497women)were selected in a stratified cluster sampling manner, and interviewed individually to complete a structured questionnaire covering farmer characteristics, duration of farm working, annual income, kind of farming tools and machinery, type of injuries and medical care. The results were as follows : 1. The incidence rate of farming tool-machinery injuries was 63 per 1,000 persons over all, 73 in males and 54 in females. The age standardized incidence rate was 69 per 1,000 persons over all, 83 in males and 65 in females. 2. The associated factors with farming tool-machinery injuries in univariate analysis were sex, age, duration of farming and monthly income. The occurrence of injuries was higher in men than in woman, and the higher in high-income group than in the low-income group. 3. More men than woman were involved in trunk injuries and treated at the large scale medical care units such as hospitals, and they paid much higher medical fees. 4. The complaint rates for each item of farmers' syndrome in the injured group were higher than those of the non injured group in 'shoulder stiffness', 'sleeplessness', 'dizziness', and 'gastric fullness'. 5. When multiple logistic regression was applied to farming tool-machinery injuries, the significant variables were farmer's syndrome, age, and duration of farming in both males and females.

• Journal of Sensor Science and Technology
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• v.29 no.5
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• pp.279-282
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• 2020

In this study, body pressure was quantitatively detected using built-in optical sensors, inside an air cushion seat. The proposed system visualizes the effect of the body pressure distribution on the air cushion seat. The built-in sensor is based on the time-of-flight (ToF) optical method, instead of the conventional electrical sensor. A ToF optical sensors is attached to the bottom surface of the air-filled cells in the air cushion. Therefore, ToF sensors are durable, as they do not come in physical contact with the body even after repeated use. A ToF sensor indirectly expresses the body pressure by measuring the change in the height of the air-filled cell, after being subjected to the weight of the body. An array of such sensors can measure the body pressure distribution when the user sits on the air cushion seat. We implemented a prototype of the air cushion seat equipped with 7 ToF optical sensors and investigated its characteristics. In this experiment, the ToF optical pressure sensor successfully identified the pressure distribution corresponding to a sitting position. The data were accessed through a mobile device.

• Journal of Institute of Convergence Technology
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• v.6 no.2
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• pp.41-46
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• 2016

Based on Regional Industry Development Plan in 2014, machinery part industry and medical instrument industry has been designated as core industries of Chung-buk area. Machinery part industry plays an important role in economic growth of chung-buk area and it has been faced with signigicant changes - such as SMART factory and IoT(Internet of things). Also, medical instrument industry with 3D printing technology grows rapidly in Chung-buk area. It is believed that medical instrument could be next cash-cow items for Chung-buk area. In this paper, we survey, analyze and summarize the current machinery part industry and medical instrument industry focused on Chunk-buk Area.

• Journal of Sensor Science and Technology
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• v.30 no.2
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• pp.67-70
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• 2021

A new button-shaped electrical device was developed for a smart fabric. This electric button can be sewn anywhere on the garment, similar to a traditional button fastener. t not only performs a decorative function but also makes the fabric suitable for use in Internet of Things (IoT) applications. It has metallic through-holes such that it can be fastened onto a fabric by conductive sewing threads. When threaded through metallic holes, the button can communicate with the external device by transmitting and receiving data. In addition, it adds specific functions by stacking a detachable application layer on the base layer. It is robust to frequent washing, and thus has excellent repeatability for use as an IoT device. The feasibility of the electric button was successfully demonstrated by its ability to identify the physical activities of walking and running, monitoring ambient temperature, and turning on LED lights.

• The Journal of the Korea Contents Association
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• v.14 no.5
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• pp.272-280
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• 2014

This study was researched by practical method in a subjectivity study accessible in-depth, in sloughing off old habit of functional quantity analysis about utility awareness of medical machinery. The perception pattern come out in this study were divided into three types in Q-methodology. The result is as follows ; it is that divided '1[(N=11) : Safety & Importance of Advertising 1], 2[(N=9) : Safety & Importance of Advertising 2], 3[(N=10) : Safety & Endurance]'. Like this, it found that is very different type all over. Hereafter, this study is to ascertain acceptance behavior about reception type on utility awareness of medical machinery ; to offer a developmental suggestion about it.

• Transactions of the KSME C: Technology and Education
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• v.5 no.1
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• pp.23-52
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• 2017

Bio-fusion and medical device industry is the multidisciplinary engineering application technology industries, which are fused, such as electricity, electronics, machinery, materials. It aims to improve the quality of human life by using bio-fusion and medical devices, and is an important industry recognition and brand power for the product. However, there is a period that is required from the development of products with technology-dependent industries. Therefore, it is necessary to have continuous effort for industrial investment in research and development at the national level including technical support, institutional support, and human resources.

• The Journal of Korea Robotics Society
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• v.17 no.4
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• pp.484-492
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• 2022

This paper presents a simple and robust under-actuated robotic finger mechanism that enables self-adaptive grip, fingertip pinch, and caging grasp functions. In order to perform daily activities using hands, the fingers should be able to perform adaptive gripping and pinching motion, and the caging grasp function is required to realize natural gripping motions and improve grip reliability. However, general commercial prosthetic hands cannot implement all three functions because they use under-actuation mechanism and simple mechanical structure to achieve light-weight and high robustness characteristic. In this paper, new mechanism is proposed that maintains structural simplicity and implements all the three finger functions with simple one degree-of-freedom control through a combination of a four-bar linkage mechanism and a wire-driven mechanism. The basic structure and operating principle of the proposed finger mechanism were explained, and simulation and experiments using the prototype were conducted to verify the gripping performance of the proposed finger mechanism.

• Journal of Sensor Science and Technology
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• v.31 no.6
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• pp.433-440
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• 2022

Recently, owing to global warming, average summer temperatures are increasing and the number of hot days is increasing is increasing, which leads to an increase in heat stroke. In particular, outdoor workers directly exposed to the heat are at higher risk of heat stroke; therefore, preventing heat-related illnesses and managing safety have become important. Although various wearable devices have been developed to prevent heat stroke for outdoor workers, applying various sensors to the safety helmets that workers must wear is an excellent alternative. In this study, we developed a smart helmet that measures various vital signs of the wearer such as body temperature, heart rate, and sweat rate; external environmental signals such as temperature and humidity; and movement signals of the wearer such as roll and pitch angles. The smart helmet can acquire the various data by connecting with a smartphone application. Environmental data can check the status of heat wave advisory, and the individual vital signs can monitor the health of workers. In addition, we developed an algorithm that classifies the risk of heat-related illness as normal and abnormal by inputting a set of vital signs of the wearer using a support vector machine technique, which is a machine learning technique that allows for rapid binary classification with high reliability. Furthermore, the classified results suggest that the safety manager can supervise the prevention of heat stroke by receiving feedback from the control system.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.8
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• pp.603-609
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• 2016

This paper presents an optimally designed master device mechanism for teleoperated interventional robotic system. The interventional procedures using the teleoperated robotic system and the physicians' requirements are summarized. The master device should implement 5-DOF motion including 2-DOF translational motion for the entry position control, 2-DOF rotational motion for the orientation control, and 1- DOF translational motion for needle insertion. The handle assembly includes a 1-DOF translational mechanism for needle insertion and buttons for operation mode selection. The mechanisms for the 2-DOF translational motion and the 2-DOF rotational motion are designed using motors and brakes based on the various mechanisms to satisfy all the above requirements, respectively. Absolute position sensors are adopted to implement automatic initial positioning and orientation matching at the first step of needle insertion.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.427-430
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• 2005

Studies on cellular pathways and networks are now one of the most actively researched topics in all fields of biomedicine ranging from developmental biology to etiology. Many databases have been developed and quantitative simulation models have been proposed. One of the eventual goals of pathway/network studies is to integrate different types of pathway/network models and databases to simulate overall cellular responses. A bottleneck to this goal is modeling gene expression since the mechanism of this process is not yet fully unveiled. We are developing a small scale computer program called CiRMU (Cis-Regulatory Machinery Unit model) for describing, viewing, analyzing, and modeling the process of gene expression. A prototype system is being designed and implemented for analyzing functions of nuclear receptors.