• Title/Summary/Keyword: 이동 보조

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Design of Indoor Electric Moving and Lifting Wheelchair with Minimum Rotation Radius and Obstacle Overcoming (최소 회전반경 및 장애물 극복형 실내 전동 이·승강 휠체어의 설계)

  • Kim, Young-Pil;Ham, Hun-Ju;Hong, Sung-Hee;Ko, Seok-Cheol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.415-424
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    • 2019
  • In this paper, a minimum rotation radius was designed and fabricated to overcome the threshold so that elderly or disabled people who have difficulty moving can move and transfer safely and conveniently in a narrow room. In the indoor environment, where the sedentary culture develops, this study aimed to provide convenience for passengers with fracture diseases, geriatric diseases, and other knee and waist diseases. First, links, seats, armrests, covers, motors, batteries, chargers, controllers, etc. were attached to the frame so that they could be moved and lifted indoors. The product design and structure were designed considering the user's environment and physical characteristics, and IoT functions were added. A driving experiment was performed to confirm the operating performance of the manufactured indoor moving and lifting wheelchair. The performance tests, such as continuous running time, turning radius, maximum actuator load, maximum lift height, sound pressure level, minimum sensing distance of the driving aid sensor, interworking of server and app programs, device compatibility, and duty cycle error rate, were performed. As a result of the test, the built-in wheelchair could achieve the performance test target of each item and operate successfully.

Recent Research Trends of Supercapacitors for Energy Storage Systems (에너지 저장시스템을 위한 슈퍼커패시터 최신 연구 동향)

  • Son, MyungSuk;Ryu, JunHyung
    • Clean Technology
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    • v.27 no.4
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    • pp.277-290
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    • 2021
  • A supercapacitor, also called an ultracapacitor or an electrochemical capacitor, stores electrochemical energy by the adsorption/desorption of electrolytic ions or a fast and reversible redox reaction at the electrode surface, which is distinct from the chemical reaction of a battery. A supercapacitor features high specific power, high capacitance, almost infinite cyclability (~ 100,000 cycle), short charging time, good stability, low maintenance cost, and fast frequency response. Supercapacitors have been used in electronic devices to meet the requirements of rapid charging/discharging, such as for memory back-up, and uninterruptible power supply (UPS). Also, their use is being extended to transportation and large industry applications that require high power/energy density, such as for electric vehicles and power quality systems of smart grids. In power generation using intermittent power sources such as solar and wind, a supercapacitor is configured in the energy storage system together with a battery to compensate for the relatively slow charging/discharging time of the battery, to contribute to extending the lifecycle of the battery, and to improve the system power quality. This article provides a concise overview of the principles, mechanisms, and classification of energy storage of supercapacitors in accordance with the electrode materials. Also, it provides a review of the status of recent research and patent, product, and market trends in supercapacitor technology. There are many challenges to be solved to meet industrial demands such as for high voltage module technologies, high efficiency charging, safety, performance improvement, and competitive prices.

A Study on Establishment of Technical Guideline of the Installation and Operation for the Biogas Utilization of Transportation and City Gas: Design and Operation Guideline (고품질화 바이오가스 이용 기술지침 마련을 위한 연구(III): 도시가스 및 수송용 - 기술지침(안) 중심으로)

  • Moon, HeeSung;Kwon, Junhwa;Park, Hoyeon;Jeon, Taewan;Shin, Sunkyung;Lee, Dongjin
    • Journal of the Korea Organic Resources Recycling Association
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    • v.27 no.2
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    • pp.67-73
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    • 2019
  • In this study, to optimize the production and utilization of biogas for organic waste resources, the precision monitoring of on-site facilities and the energy balance by facility were analyzed, and the solutions for field problems were investigated, and the design and operation guidelines for pretreatment facilities and generators were presented. Gas pre-treatment is required to solve frequent failures and efficiency degradation in operation of high quality refining facilities, and processing processes such as desulfurization, dehumidification, deoxidization, dust treatment, volatile organic compounds, etc. Since these processes are substances that are also eliminated from the high-quality process, quantitative guidelines are not presented in the gas pretreatment process, but are suggested to operate during the processing process as a qualitative guideline. In particular, dust, siloxane, and volatile organic compounds are the main cause of frequent failure of high-quality processes if they are not removed from the gas pretreatment process. Design of the biogas high-quality process. The operation guidelines provide quality standards [Methane content (including propane) of 95% or more] with 90% or more utilization of the total gas generation, two systems, and a margin of 10% or more. It also proposed installing gas equalization tank, installing thermal automatic control system for controlling equalization of auxiliary fuel, installing dehumidification device at the back of high quality for removing moisture generated in the process of gas compression, installing heat-resisting facilities to prevent freezing of facilities in winter and reducing efficiency, and installing membrane facilities in particular.

Technology Trend Analysis in the Automotive Semiconductor Industry using Topic Model and Patent Analysis (토픽모델 및 특허분석을 통한 차량용 반도체 기술 추세 분석)

  • Nam, Daekyeong;Choi, Gyunghyun
    • Journal of Korea Technology Innovation Society
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    • v.21 no.3
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    • pp.1155-1178
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    • 2018
  • Future automobiles are evolving into movable living spaces capable of eco-friendly autonomous driving. The role of electrically processing, controlling, and commanding various information in the vehicle is essential. It is expected that the automotive semiconductor will play a key role in the future automobile such as self-driving and eco-friendly automobile. In order to foster the automotive semiconductor industry, it is necessary to grasp technology trends and to acquire technology and quality that reflects the requirements in advance, thereby achieving technological innovation with industrial competitiveness. However, there is a lack of systematic analysis of technology trends to date. In this study, we analyzed the technology trends of automotive semiconductors using patent analysis and topic model, and confirmed technologies such as electric cars, driving assistance, and digital manufacturing. The technology trends showed that element technology and technical characteristics change according to technology convergence, market needs, and government regulations. Through this research, it is expected that it will help to make R&D policy for automotive semiconductor industry and to make decision for industrial technology strategy establishment. In addition, it is expected that it will be used effectively in detail research direction and patent strategy establishment by providing detailed classification of technology and trend analysis result of technology.

Hospice System Improvement Measures to Increase the Accessibility of Voluntary Home Death: A Comparison of the South Korean and American Hospice Systems (자택임종 증가를 위한 호스피스제도 개선 방안: 한국과 미국의 호스피스제도 비교를 중심으로)

  • Han, Da-Jeong;Choi, Young-Soon;Lee, Dong-Hyun
    • The Journal of the Korea Contents Association
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    • v.22 no.6
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    • pp.567-579
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    • 2022
  • The purpose of this study is to find a way to improve the hospice system to increase comfortable home death, which people prefer, by understanding the factors affecting the difference in the rate of home death between South Korea and America within the hospice system. This study employs the Most Similar Systems Design, which is a case study approach. The result of this study is that both countries have public health insurance systems that are identical in terms of the appropriate time for the receipt of hospice services and the application procedure, which requires that two doctors confirm the patient's hospice eligibility. The main difference is that in South Korea, inpatient hospice is prevalent, whereas routine home care is predominant in the United States. Furthermore, in the United States, hospice assistants and housekeepers support at-home daily living care. Additionally, the United States provides inpatient respite care to allow care-giver, such as family to rest and there is no restriction on hospice-eligible diseases. To increase the accessibility of voluntary home death in South Korea, it is necessary to activate and expand the home type hospice service range and provide at-home daily living care, care-giver support services. Furthermore, there should be no restrictions on hospice-eligible diseases.

A Study on Optimization of Perovskite Solar Cell Light Absorption Layer Thin Film Based on Machine Learning (머신러닝 기반 페로브스카이트 태양전지 광흡수층 박막 최적화를 위한 연구)

  • Ha, Jae-jun;Lee, Jun-hyuk;Oh, Ju-young;Lee, Dong-geun
    • The Journal of the Korea Contents Association
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    • v.22 no.7
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    • pp.55-62
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    • 2022
  • The perovskite solar cell is an active part of research in renewable energy fields such as solar energy, wind, hydroelectric power, marine energy, bioenergy, and hydrogen energy to replace fossil fuels such as oil, coal, and natural gas, which will gradually disappear as power demand increases due to the increase in use of the Internet of Things and Virtual environments due to the 4th industrial revolution. The perovskite solar cell is a solar cell device using an organic-inorganic hybrid material having a perovskite structure, and has advantages of replacing existing silicon solar cells with high efficiency, low cost solutions, and low temperature processes. In order to optimize the light absorption layer thin film predicted by the existing empirical method, reliability must be verified through device characteristics evaluation. However, since it costs a lot to evaluate the characteristics of the light-absorbing layer thin film device, the number of tests is limited. In order to solve this problem, the development and applicability of a clear and valid model using machine learning or artificial intelligence model as an auxiliary means for optimizing the light absorption layer thin film are considered infinite. In this study, to estimate the light absorption layer thin-film optimization of perovskite solar cells, the regression models of the support vector machine's linear kernel, R.B.F kernel, polynomial kernel, and sigmoid kernel were compared to verify the accuracy difference for each kernel function.

Change Detection Using Deep Learning Based Semantic Segmentation for Nuclear Activity Detection and Monitoring (핵 활동 탐지 및 감시를 위한 딥러닝 기반 의미론적 분할을 활용한 변화 탐지)

  • Song, Ahram;Lee, Changhui;Lee, Jinmin;Han, Youkyung
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.991-1005
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    • 2022
  • Satellite imaging is an effective supplementary data source for detecting and verifying nuclear activity. It is also highly beneficial in regions with limited access and information, such as nuclear installations. Time series analysis, in particular, can identify the process of preparing for the conduction of a nuclear experiment, such as relocating equipment or changing facilities. Differences in the semantic segmentation findings of time series photos were employed in this work to detect changes in meaningful items connected to nuclear activity. Building, road, and small object datasets made of KOMPSAT 3/3A photos given by AIHub were used to train deep learning models such as U-Net, PSPNet, and Attention U-Net. To pick relevant models for targets, many model parameters were adjusted. The final change detection was carried out by including object information into the first change detection, which was obtained as the difference in semantic segmentation findings. The experiment findings demonstrated that the suggested approach could effectively identify altered pixels. Although the suggested approach is dependent on the accuracy of semantic segmentation findings, it is envisaged that as the dataset for the region of interest grows in the future, so will the relevant scope of the proposed method.

A Study on the Authenticity Verification of UxNB Assisting Terrestrial Base Stations

  • Kim, Keewon;Park, Kyungmin;Kim, Jonghyun;Park, Tae-Keun
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.12
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    • pp.131-139
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    • 2022
  • In this paper, to verify the authenticity of UxNB that assists terrestrial base stations, the solutions for SI (System Information) security presented in 3GPP TR 33.809 are analyzed from the perspective of UxNB. According to the definition of 3GPP (Third Generation Partnership Project), UxNB is a base station mounted on a UAV (Unmanned Aerial Vehicle), is carried in the air by the UAV, and is a radio access node that provides a connection to the UE (User Equipment). Such solutions for SI security can be classified into hash based, MAC (Message Authentication Codes) based, and digital signature based, and a representative solution for each category is introduced one by one. From the perspective of verifying the authenticity of UxNB for each solution, we compare and analyze the solutions in terms of provisioning information and update, security information leakage of UxNB, and additionally required amount of computation and transmission. As a result of the analysis, the solution for verifying the authenticity of the UxNB should minimize the secret information to be stored in the UxNB, be stored in a secure place, and apply encryption when it is updated over the air. In addition, due to the properties of the low computing power of UxNB and the lack of power, it is necessary to minimize the amount of computation and transmission.

Deep Learning Braille Block Recognition Method for Embedded Devices (임베디드 기기를 위한 딥러닝 점자블록 인식 방법)

  • Hee-jin Kim;Jae-hyuk Yoon;Soon-kak Kwon
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.4
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    • pp.1-9
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    • 2023
  • In this paper, we propose a method to recognize the braille blocks for embedded devices in real time through deep learning. First, a deep learning model for braille block recognition is trained on a high-performance computer, and the learning model is applied to a lightweight tool to apply to an embedded device. To recognize the walking information of the braille block, an algorithm is used to determine the path using the distance from the braille block in the image. After detecting braille blocks, bollards, and crosswalks through the YOLOv8 model in the video captured by the embedded device, the walking information is recognized through the braille block path discrimination algorithm. We apply the model lightweight tool to YOLOv8 to detect braille blocks in real time. The precision of YOLOv8 model weights is lowered from the existing 32 bits to 8 bits, and the model is optimized by applying the TensorRT optimization engine. As the result of comparing the lightweight model through the proposed method with the existing model, the path recognition accuracy is 99.05%, which is almost the same as the existing model, but the recognition speed is reduced by 59% compared to the existing model, processing about 15 frames per second.

An Exploratory Study on the Analysis of Characteristics of Pedestrian Accident Vulnerable Points using Road View: Focusing on Sasang-gu, Busan (로드뷰를 활용한 보행자 사고 취약 지점 특징 분석 탐색적 연구: 부산광역시 사상구를 중심으로)

  • Dong Kyu Lee;Jae Seon Kim;Kyung Soo Pyo;Min Kim
    • Journal of the Society of Disaster Information
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    • v.20 no.2
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    • pp.351-368
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    • 2024
  • Purpose: In general, traffic accidents occur sporadically, so there are various limitations in terms of time and cost when conducting field investigations to prepare prevention and prevention measures. In particular, with the transition to a non-face-to-face society after the COVID-19, there is a greater need to prepare a replacement for field surveys. Therefore, in this study, Roadview provided by various websites was used as an alternative to field surveys in Sasang-gu, Busan City. The possibility was evaluated. Method: The research method was to extract vulnerable points for traffic accidents that occurred between 2016 and 22 and analyze road views based on the field survey evaluation items provided in the Traffic Safety Diagnosis Guidelines. Result: The main result was that Sasang-gu was most vulnerable to accidents involving elderly pedestrians at Sasang-ro, Daedong-ro, and Hakjang-ro. As a result of a detailed analysis of vulnerable points through Road View, Sasang-ro needed control of commercial vehicles and protection of the transportation vulnerable in the market commercial area. Daedong-ro was vulnerable to illegal on-street parking and slope merging sections, and Hakjang-ro was vulnerable to roads that were prone to speeding. When evaluating the possibility of replacing Roadview's field survey based on the results of this analysis, Roadview was able to effectively evaluate most items, such as separation of sidewalks and the location and spacing of safety facilities. However, there were limitations in items such as actual measurement performance. Conclusion: In other words, the road view can replace most field surveys, and the actual measurement evaluation items can be judged to be useful as auxiliary data, resulting in time and cost savings and high efficiency.