• Information Systems Review
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• v.26 no.1
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• pp.367-383
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• 2024

Korea faces challenges in securing technical talent due to low birth rates and an aging population. To bridge labor market gaps, tailored education programs through universities are crucial. Although Program for Industrial needs-Matched Education (PRIME) encouraged developing industrial-university education courses, a few universities have the opportunities and the courses development is often depending on capability of a professor. Furthermore, administrative issues hinder progress. This study proposes streamlining administrative processes and leveraging technology to meet industry demands. Active collaboration between academia and industry can enhance education and benefit both employees and students.

• Journal of IKEEE
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• v.22 no.1
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• pp.21-28
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• 2018

In this paper, we have developed the intellectual kegel trainer with the bio-feedback. The one is smart health care system that can treat an evacuation impediment and urination polyuria with the low frequency stimulation module. Then this detects the shrinkage power of the pelvis muscles and correlates an smart phone entertainment application program for the users. In order to recover the function of pelvic muscles, we use the intellectual smart health care trainer with several biofeedback function. Such a trainer makes to strength the weakness pelvic muscles by biofeedback training and get exercise the pelvic muscles in physical suppress. The biofeedback training against the physical suppress can have strengthen the pelvic muscles and can display the operation graph of strengthen movement in monitor. Finally, It can be ensured the safety through EMI and performance test.

• Electronics and Telecommunications Trends
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• v.27 no.5
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• pp.64-72
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• 2012

물질의 상태를 알기 위해 사용되는 센서 기술은 전기적 신호와 정보 등을 감지하는 전자 기술뿐만 아니라 생물학을 포함한 바이오 기술과 나노 기술과의 융합을 통해 진화하고 있다. 이러한 진화는 아이폰을 시작으로 하는 IT 산업의 변화를 이끌 뿐만 아니라, 헬스케어 분야를 중심으로 빠르게 적용되고 있는 기술로써 첨단기술의 상징으로 자리매김하고 있다. 이미 많은 사람들이 알고 있는 유비쿼터스 사회에서 꼭 필요한 스마트 센서로써의 현주소를 파악하기 위해서 산업동향과 국 내외 주요 연구결과물들을 살펴보고, 향후 발전방향을 예측해 보고자 한다.

• Journal of Biomedical Engineering Research
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• v.29 no.5
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• pp.337-342
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• 2008

To date, many researchers have developed a variety of biosensors to detect the biomolecular interactions. Recently, electrochemical biosensors have been attracting great interest as one of key technologies in a ubiquitous healthcare (U-healthcare) system since they are highly sensitive and feasible to miniaturize. Here we overview the current electrochemical biosensors based on strip-type, nanowire/nanotube, field effect transistor (FET), and nanogap electrode.

• Review of KIISC
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• v.26 no.4
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• pp.41-46
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• 2016

전통적으로 바이오인식기술은 출입국심사(전자여권, 승무원 승객 신원확인), 출입통제(도어락, 출입통제 근태관리), 행정(무인민원발급, 전자조달), 사회복지(미아찾기, 복지기금관리), 의료(원격의료, 의료진 환자 신원확인), 정보통신(휴대폰 PC 인터넷 인증), 금융(온라인 뱅킹, ATM 현금인출) 등 다방면에서 폭넓게 보급되어 실생활에서 널리 활용되고 있다. [그림1]은 신체적 특징(Physiological biometrics)과 행동적 특징(Behavioral biometrics)을 이용한 사용자 인증기술인 바이오인식기술의 유형과 함께 각 기술별 보안취약점(괄호 안 빨강색글자)을 나타내고 있다. 최근 들어, 모바일 지급결제서비스 ATM 인출기 인터넷전문은행 등과 같은 핀테크 분야에서 비대면 인증기술로 바이오인식기술이 각광을 받기 시작했다. 한편, 가짜지문 등 기존의 신체적 특징을 이용한 바이오인식기술의 위변조 위협에 대한 우려 존재함에 따라 뇌파 심전도 근전도 맥박 등 살아있는 사람의 행동적(신체의 기능적) 특징을 이용한 생체신호를 이용하여 비대면 인증기술로서 활용하기 위하여 주요 선진국에서 차세대 바이오인식 기술개발이 가속화되고 있는 추세이다.[1] 또한, 이러한 생체신호는 최근에 삼성전자, LG전자, 애플 등에서 스마트워치를 통해 심장박동수를 측정하고 스마트폰을 통하여 모바일 지급결제, 헬스케어 등과 같은 IoT 모바일 융복합 응용서비스에 활용될 전망이다. 본고에서는 뇌파 심전도(심박수)와 같은 생체신호를 측정하는 스마트워치 밴드형 의복형 또는 패치형태의 웨어러블 디바이스와 같은 생체신호센서, 생체신호 인증기술 및 관련표준화 동향을 고찰해 보기로 한다. 국내외 관련기술과 표준화 동향을 면밀히 분석하여 지난 2015년 5월29일에 발족한 국내외 전문가그룹인 KISA"모바일 생체신호 인증기술 표준연구회"(이하 KISA 표준연구회)가 구심점이 되어 한국형 생체신호를 이용한 차세대 텔레바이오인식기술에 대한 연구개발과 국내외 표준화 추진에 박차를 가할 계획이다.

• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.343-352
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• 2021

A convergence study was conducted to develop a smartphone application for self-practice of core nursing skills and evaluate its usefulness for undergraduate nursing students. Mobile Application Rating Scale and seven essay questionnaire were used to for usability evaluation among 22 undergraduate nursing students. The score of the information domain was the highest with 4.19(SD 0.79). The subjective quality domain showed the lowest score of 3.08(SD 0.87). Participants' performance confidence score was 8.23(SD 1.60), and learning satisfaction score was 7.89(SD 0.87). Participants reported that the convenience and repetitive self-learning were the strengths of the app. In addition, design and technical supplementation, and lecturer-feedback would improve effectiveness of the current educational app. Findings of this convergent study would be helpful to promote the application of mobile apps for effective self-learning of core nursing skills in undergraduate nursing education. Future resesarch is needed to examine effectiveness study of mobile app on the performance of core nursing skills.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.12
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• pp.1095-1105
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• 2013

This paper proposes the RDMS(Rough Set Theory based Disease Monitoring System) which efficiently manages diseases in Healthcare System. The RDMS is made up of DCM(Data Collection Module), RDRGM(RST based Disease Rules Generation Module), and HMM(Healthcare Monitoring Module). The DCM collects bio-metric informations from bio sensor of patient and stores it in RDMS DB according to the processing procedure of data. The RDRGM generates disease rules using the core of RST and the support of attributes. The HMM predicts a patient's disease by analyzing not only the risk quotient but also that of complications on the patient's disease by using the collected patient's information by DCM and transfers a visualized patient's information to a patient, a family doctor, etc according to a patient's risk quotient. Also the HMM predicts the patient's disease by comparing and analyzing a patient's medical information, a current patient's health condition, and a patient's family history according to the rules generated by RDRGM and can provide the Patient-Customized Medical Service and the medical information with the prediction result rapidly and reliably.

• Korean Chemical Engineering Research
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• v.60 no.1
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• pp.86-92
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• 2022

Recently, the bio-healthcare market is enlarging worldwide due to various reasons such as the COVID-19 pandemic. Among them, biometric measurement and analysis technology are expected to bring about future technological innovation and socio-economic ripple effect. Existing systems require a large-capacity battery to drive signal processing, wireless transmission part, and an operating system in the process. However, due to the limitation of the battery capacity, it causes a spatio-temporal limitation on the use of the device. This limitation can act as a cause for the disconnection of data required for the user's health care monitoring, so it is one of the major obstacles of the health care device. In this study, we report the concept of a standalone healthcare monitoring module, which is based on both triboelectric effects and electromagnetic effects, by converting biomechanical energy into suitable electric energy. The proposed system can be operated independently without an external power source. In particular, the wireless foot pressure measurement monitoring system, which is rationally designed triboelectric sensor (TES), can recognize the user's walking habits through foot pressure measurement. By applying the triboelectric effects to the contact-separation behavior that occurs during walking, an effective foot pressure sensor was made, the performance of the sensor was verified through an electrical output signal according to the pressure, and its dynamic behavior is measured through a signal processing circuit using a capacitor. In addition, the biomechanical energy dissipated during walking is harvested as electrical energy by using the electromagnetic induction effect to be used as a power source for wireless transmission and signal processing. Therefore, the proposed system has a great potential to reduce the inconvenience of charging caused by limited battery capacity and to overcome the problem of data disconnection.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.231-232
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• 2015

최근 유전체학, NGS(Next Generation Sequencing) 기술, IT/NT 장비의 발전 등에 따라 방대한 양의 바이오-메디컬 데이터가 생산되고, 이에 따라 빅데이터를 활용한 헬스케어 산업이 급속히 발달하고 있으며, 이와 관련된 빅데이터 기술은 국민의 건강 증대와 건강한 고령 삶을 제공하는 핵심 기술로 급부상하고 있다. 패스웨이는 단백질, 유전자, 세포 등의 생체적 요소 간의 역학관계 혹은 상호작용 등을 네트워크 형식으로 표현한 생물학적 심층지식으로, 바이오-메디컬 빅데이터 분석에 있어서 널리 활용되고 있다. 하지만 패스웨이는 매우 다양한 형태를 갖고 용량이 매우 큰 빅데이터로 이를 분석하는데 많은 시간이 소요된다. 그래서 본 논문에서는 세계적으로 가장 우수하고 방대한 양의 패스웨이를 제공하는 KEGG 패스웨이 데이터베이스로부터 사용자가 관심 갖는 패스웨이만을 자동 수집하고 패스웨이 간 계층구조를 기반으로 네트워크를 구성 후, 해당 패스웨이 네트워크에 대한 클러스터링과 핵심 패스웨이 선정을 통해 패스웨이 간의 역학관계 또는 상호작용을 직관적으로 분석할 수 시스템을 제안했다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.1
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• pp.139-149
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• 2022

The study aims to understand the impact the consumption value changed by COVID-19 has on the purchasing behavior of industry foodservices dietitians and to provide baseline data in setting the marketing strategies for the food materials distribution companies in the future. The main survey was conducted for eight days from May 13th to 20th 2021 and 260 copies were collected and analyzed. Through the results of the study, the following conclusion elicited. First, consumption values that impact purchasing behaviors of industry foodservices dietitians are functional value and situational value. Second, for dietitians working at directly managed foodservice establishments, the higher the functional value of the food materials is, the higher the purchasing behavior. But such correlation was not found in the case of dietitians at consignment establishments. Third, compared to before and after COVID-19, the importance of functional value of food materials decreased, while the importance of situational value increased. Therefore, it is assumed that establishing marketing strategies differentiated by direct and consignment management will contribute to the energetic sales of the food material companies in the era of post COVID-19.