• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.522-525
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• 2015

In this paper, we propose a walking aid system that guides route to visually impaired people in order to recognize uncertain obstacles based on tactile stimulation. The proposed system is composed of the touch-based obstacle detection module, the obstacle height detection module, and the route guidance algorithms. The touch-based obstacle detection module detects each obstacle, which is located at left, right, and front of a visually impaired person by stimulating his thumb with the rotational force of the servomotor. The obstacle height detection module integrates detected data by the linear arrangement of ultrasonic sensors to identify the height of an obstacle about 3 of-phase(i.e., high, medium, low). The proposed route guidance algorithm guides an optimized path to the visually impaired person by updating his current position information based on the signal of the built-in GPS receiver in smartphone. In addition, the route guidance algorithm delivers information with speech to a visually impaired person through Bluetooth commuination in the developed route guidance app. The proposed system can create a path to avoid the obstacles by recognizing the placed situation of the obstacles with exploring the uncertain path.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.11
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• pp.2786-2791
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• 2014

This paper describes the smart illuminating system based on the obstacle environmental presetting to improve the user convenience to easy lighting and energy conservation. Obstacle environment has trouble controlling the illuminating equipment using manual buttons in certain circumstances, which requires a smart remote controller. The smart remote controller is operated by the smart phone, motion sensor and timer to turn on and off the lamps. The event sensor module transmits the signals of the event occurrence to equipment on the remote place when smart phone and motion sensor detect an event, and the illuminator received the event turn on or off the lamp. The system results in energy saving by simple on/off control and manipulating the operating time with controlling the illuminating system preset by user's obstacle or preference circumstances. The proposed system implementation is experimented to figure out the energy saving about13.5w/h and the optimized convenience control.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.11
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• pp.2054-2060
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• 2016

As the aging society is accelerated, the population with dementia grows significantly faster. Because there is no complete cure of dementia, it is of great importance to detect the disease at a very early stage and prevent its fast aggravation through evaluation of MCI(Mild Cognitive Impairment) which happens before dementia. The current assessment of MCI conducts only in the form of hand-written data and by 1:1 face to face communication between the subjects and the examiners. Due to this, both examiners' fatigue rate and evaluation error rate increase. Further, there are some limitations in utilizing and analyzing data collected. Against the problems, therefore, there is a need to develop a computerized system by which MCI is assessed, and the results are saved and analyzed. This paper presents the development of such a system enabling MCI evaluation, its related data collection and analysis.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.548-556
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• 2018

NMS (Network Management System) is a system that is used for a small or large networks management. As the size of network becomes larger and the configuration information become complicated, it becomes more difficult to grasp the network status and it takes much time to diagnose the failure of the network equipment. In this paper, to alleviate the problems of NMS we implement web-based network topology automatically using JavaScript, Python, HTML5 based TWaver. The detailed implementation of the system include the automatic collection of the connection information based on the equipment information registered in the NMS system, the implementation of the web-based network topology and the remote fault diagnosis. In the network topology, we can expect to improve the quality of the NMS system through structured data management by adding the configuration management, fault management and performance management functions in a comprehensive manner.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.4
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• pp.715-722
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• 2023

The purpose of this study is to revitalize rehabilitation treatment for people with physical disabilities by presenting a convergence plan between e-sports and rehabilitation exercises using AI-based metaverse. Metaverse-based e-sportscan be useful in providing sports experiences to people with physical disabilities who are unable to participate in society, and this also allows individuals with disabilities to experience sports that are difficult to actually experience. The use of metaverse will enable effective rehabilitation exercise links in vulnerable communities such as hospitals and farming and fishing villages, and provide integrated services of medical and rehabilitation movements that allow exercise data to be managed in an integrated manner. To this end, interdisciplinary experts should participate in the convergence development of e-sports and rehabilitation exercise.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.119-125
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• 2024

This paper investigates the effect of an artificial intelligence attention redirection compensation strategy system on the data labeling work attention concentration by individuals with developmental disabilities. Task accuracy and task performance for each session were used as measures of attention concentration. As a result of the study, after the intervention was applied, a significant improvement in attention concentration was observed in all study subjects compared to self-serving task. These results mean that artificial intelligence technology can have a positive effect on improving the attention span of people with developmental disabilities during data labeling tasks. This study shows that the application of artificial intelligence technology can improve the quality of learning data by improving the accuracy of data labeling tasks for people with developmental disabilities, and is expected to provide important implications for vocational training programs related to data labeling for people with developmental disabilities.

• TTA Journal
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• s.160
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• pp.122-127
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• 2015

• TTA Journal
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• s.95
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• pp.99-104
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• 2004

• TTA Journal
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• s.137
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• pp.57-61
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• 2011

• TTA Journal
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• s.125
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• pp.37-41
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• 2009