Development of Text Messaging Library to Support Exercise Behavior for Patients With Peripheral Artery Disease: Using The Behavior Change Wheel Framework

Mihui Kim,Yesol Kim,Mona Choi 한국간호과학회 2021 한국간호과학회 학술대회 Vol.2021 No.10

Aim: Peripheral artery disease (PAD) is a chronic atherosclerotic obstructive disease accompanied by functional impairment. Text messaging interventions were used to provide feedback related to target goals, enhance motivation, and remind without restricting places, thereby lead to improve physical activity. Therefore, timely intervention through text messages appropriate for participants" situations will help change to targeted behavior. This study aimed to establish of text message library using behavior change wheel (BCW) framework to support the intervention program developed for exercise behavior for patients with PAD. Method: Based on the BCW framework, this study was conducted in three stages: First, we identified exercise barriers in PAD patients and analyze behavior mechanisms to mapping them to behavioral capabilities, opportunities, and motivation models (COM-B). Second, to overcome exercise barriers, we selected and linked the appropriate intervention functions to behavioral changes. Third, we developed a library of text messages by intervention functions according to the levels defined in the BCT taxonomy. Result: In the first phase, we reviewed the existing literature and interviewed 15 patients with PAD, classifying the barriers to exercise performance into six categories: (a) lacking time, (b) poor condition, (c) unwillingness to exercise, (d) leg pain, (e) bad weather, and (f) forgetting exercise. In the second phase, we selected five intervention functions (training, enablement, estimation, persuasions, and environment restructuring) of the BCW framework for behavioral change by overcoming the barriers, and each barrier and intervention function were linked. In the third stage, we were mapping the barrier-intervention function-BCT taxonomy label and developed a total of 113 text messages according to the definition of the BCT taxonomy label. Conclusion: We developed a text messaging library based on the BCW framework. In the following studies, we will utilize the text messaging library for exercise interventions to change the sedentary behavior of PAD patients.

Ubiquitous Authentication and Key Distribution Mechanism without Trusted Third Party in Mobile Network

Mihui Kim,Kijoon Chae 대한전자공학회 2004 ITC-CSCC :International Technical Conference on Ci Vol.2004 No.7

Saturation Prediction for Crowdsensing Based Smart Parking System

( Mihui Kim ),( Junhyeok Yun ) 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.6

Crowdsensing technologies can improve the efficiency of smart parking system in comparison with present sensor based smart parking system because of low install price and no restriction caused by sensor installation. A lot of sensing data is necessary to predict parking lot saturation in real-time. However in real world, it is hard to reach the required number of sensing data. In this paper, we model a saturation predication combining a time-based prediction model and a sensing data-based prediction model. The time-based model predicts saturation in aspects of parking lot location and time. The sensing data-based model predicts the degree of saturation of the parking lot with high accuracy based on the degree of saturation predicted from the first model, the saturation information in the sensing data, and the number of parking spaces in the sensing data. We perform prediction model learning with real sensing data gathered from a specific parking lot. We also evaluate the performance of the predictive model and show its efficiency and feasibility.

소셜 빅데이터 마이닝 기반 실시간 랜섬웨어 전파 감지 시스템

김미희 ( Mihui Kim ),윤준혁 ( Junhyeok Yun ) 한국정보처리학회 2018 정보처리학회논문지. 컴퓨터 및 통신시스템 Vol.7 No.10

파일을 암호화시켜 몸값을 요구하는 악성 소프트웨어인 랜섬웨어는 빠른 전파력과 지능화로 더욱 위협적이 되고 있다. 이에 빠른 탐지 및 위험 분석이 요구되고 있지만, 실시간 분석 및 보고가 미비한 상태이다. 본 논문에서는 실시간 분석이 가능하도록 소셜 빅데이터 마이닝기술을 활용하여 랜섬웨어 전파 감지 시스템을 제안한다. 본 시스템에서는 트위터 스트림을 실시간 분석하여 랜섬웨어와 관련된 키워드를 가진 트윗을 크롤링한다. 또한 뉴스피드 분석기를 통해 뉴스서버를 크롤링하여 랜섬웨어 관련 키워드를 추출하고, 보안업체의 서버나 탐색엔진을 통해 뉴스나 통계데이터를 추출한다. 수집된 데이터는 데이터 마이닝 알고리즘으로 랜섬웨어 감염 정도를 분석한다. 2017년 전파가 많이 되었던 워너크라이와 록키 랜섬웨어 감염전파 시 관련 트윗의 수와 구글 트렌드(통계 정보) 정보, 관련 기사를 비교하여 트윗을 이용한 본 시스템의 랜섬웨어 감염 탐지 가능성을 보이고, 엔트로피와 카이-스퀘어 분석을 통해 제안 시스템 성능을 보인다. Ransomware, a malicious software that requires a ransom by encrypting a file, is becoming more threatening with its rapid propagation and intelligence. Rapid detection and risk analysis are required, but real-time analysis and reporting are lacking. In this paper, we propose a ransomware infection detection system using social big data mining technology to enable real-time analysis. The system analyzes the twitter stream in real time and crawls tweets with keywords related to ransomware. It also extracts keywords related to ransomware by crawling the news server through the news feed parser and extracts news or statistical data on the servers of the security company or search engine. The collected data is analyzed by data mining algorithms. By comparing the number of related tweets, google trends (statistical information), and articles related wannacry and locky ransomware infection spreading in 2017, we show that our system has the possibility of ransomware infection detection using tweets. Moreover, the performance of proposed system is shown through entropy and chi-square analysis.

알루미늄 합금의 복사방열향상을 위한 코팅연구

서미희(Mihui Seo),김동현(Donghyun Kim),이정훈(Junghoon Lee),정원섭(Wonsub Chung) 한국표면공학회 2013 한국표면공학회지 Vol.46 No.5

The aim of the present study was to improve the radiative heat dissipation of aluminum alloy, Al 1050. Resin/CuO coating and Cu/CuO composite plating were applied on aluminum alloy to improve the radiative heat dissipation. Resin/CuO coating was made using thermosetting silicon resin and Cu/CuO composite plating was made in pyrophosphate copper plating bath. Radiant heat flux(W/㎡) was measured by self-produced radiant heat measurement device to compare each specimen. The cross section of specimen and chemical bonding of surface were analyzed by FE-SEM, XPS and FT-IR. As a result, radiant heat of Resin/CuO coating was higher than Cu/CuO composite plating due to the adhesion with aluminum plate and the difference in chemical bonding. But, Both of them were higher than aluminum alloy. In order to confirm the result of experiment, aluminum plate, Resin/CuO coating and Cu/CuO composite plating sample were applied LED and measured the LED temperature. As a result, LED temperature of samples were matched previous results and confirmed coated samples were lower about 10 degrees than the aluminum alloy.

Saturation Prediction for Crowdsensing Based Smart Parking System

Kim, Mihui,Yun, Junhyeok Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.6

Crowdsensing technologies can improve the efficiency of smart parking system in comparison with present sensor based smart parking system because of low install price and no restriction caused by sensor installation. A lot of sensing data is necessary to predict parking lot saturation in real-time. However in real world, it is hard to reach the required number of sensing data. In this paper, we model a saturation predication combining a time-based prediction model and a sensing data-based prediction model. The time-based model predicts saturation in aspects of parking lot location and time. The sensing data-based model predicts the degree of saturation of the parking lot with high accuracy based on the degree of saturation predicted from the first model, the saturation information in the sensing data, and the number of parking spaces in the sensing data. We perform prediction model learning with real sensing data gathered from a specific parking lot. We also evaluate the performance of the predictive model and show its efficiency and feasibility.

무선랜 환경에서 AP 로드 밸런싱을 위한 AP-개시 플로우 리다이렉션 메커니즘

김미희 ( Mihui Kim ),채기준 ( Kijoon Chae ) 한국인터넷정보학회 2009 인터넷정보학회논문지 Vol.10 No.2

IEEE802.11 무선랜은 공항과 같은 공공의 장소에서 널리 사용되고 있으며 캠퍼스나 회사의 네트워킹 영역을 증대하고 있고, 최근 메쉬 네트워크나 다른 3세대 이동 통신 네트워크과의 통합 형태의 네트워크를 구성하기 위한 중요 기술로 주목 받고있다. 무선랜 환경에서의 액세스 포인트 (AP) 간 로드 밸런싱 문제는 효율적인 자원 관리나 트래픽의 QoS 지원을 위해 중요한 문제이지만, 기존 연구들에서는 노드가 네트워크에 진입하는 시점이나 로밍 시점에 로드 밸런싱을 위한 AP 선택에 초점을 맞추고 있다. 본 논문에서는 AP의 가용성 모니터링을 통해 진정한 의미의 로드 밸런싱을 위한 AP-개시 플로우 리다이렉션 메커니즘을 제안한다. AP 자신의 가용자원이 거의 사용하게 되면, 즉 특정 임계치 이상 사용하게 되면, 자신이 서비스하고 있는 노드가 로밍 가능한 이웃 AP들에게 그들의 가용자원에 관하여 쿼리를 하여 entropy나 chi-square와 같은 통계적인 방법을 이용하여 AP 간 트래픽 분포도에 대해 계산하고, 리다이렉트할 플로우들을 결정하여 선택된 노드들을 트리거하여 플로우 리다이렉션을 수행한다. 시뮬레이션 결과, 제안된 플로우 리다이렉션 메커니즘이 다양한 측면에서의 성능향상을 입증할 수 있었다. IEEE802.11 Wireless LAN (WLAN) is being widely used in public space such as airport, and increases the networking boundary in campus and enterprise, and it has lastly attracted considerable attention for mesh network and converged network with other 3G mobile communication networks. In WLAN, load balancing among Access Points (AP) is an important issue for efficient resource management or supporting the Quality of Service (QoS) of traffic, but most researches focused on the AP selection in network entry or roaming of Stations (STA). In this paper, we propose an AP-Initiated Flow Redirection (FR) for AP load balancing by monitoring AP`s availability in the true sense. When the AP`s resource becomes almost saturated, that is used more than a specific threshold, the AP queries the roaming possible neighbor APs about their availability and calculates the distribution of traffic load with statistical methods such as entropy or chi-square. Finally, the AP decides flows and new APs for redirection and performs it. Our simulation results show that our FR mechanism increases the performance in the various views.

블록체인 기반 안전한 사물인터넷 장치 관리 시스템 구현

김미희(Mihui Kim),김영민(Youngmin Kim) 한국전기전자학회 2019 전기전자학회논문지 Vol.23 No.4

많은 수의 다양한 기기로 구성된 사물인터넷(Internet of Things, IoT)의 기기 관리를 위해서 안전하고 자동으로 강화하는 방법을 강구하고 있다. 블록체인은 자율 실행 방식의 ‘스마트 컨트랙트’ 요소로 중재자 없이 빠르게 데이터를 교환하고 IoT 디바이스 간 프로세스를 안전하고 자동으로 관리할 수 있는 방안으로 대두되고 있다. 본 논문에서는 선행연구로서 제안한 DPoS(Distributed Proof of Stake) 체계인 EOSIO 기반 블록체인 구조를 바탕으로 블록체인 플랫폼과 상호작용 하는 사용자 응용 DApp(Decentralized Application)과 실제 IoT 기기(라즈베리파이 기반 기기, 스마트 램프)를 포함하여 전체 시스템의 프로토타입을 구현한다. 시스템의 이점을 분석하고, 시간적 측면의 오버헤드를 측정하여 본 시스템의 실현 가능성 보이고자 한다. To manage the Internet of Things(IoT) Network, which consists of a large number of various devices, a secure and automatic method of strengthening the IoT network is being proposed. Blockchain has a "smart contract" element of autonomous execution method, which is emerging as a way to not only exchange data quickly without mediators but also securely and automatically manage processes between IoT devices. In this paper, we implement a prototype of the entire IoT device management system based on the EOSIO with DPoS(Distributed Proof of Stake)-based blockchain structure, proposed as a prior study, including the user application DApp(Decentralized Application) and the actual IoT devices (Raspberry Pi-based device, and smart lamp) that interact with the blockchain platform. We analyze the benefits of the system and measure the time overhead to show the feasibility of the system.

VeriEST: verification via primary user emulation signal-based test for secure distributed spectrum sensing in cognitive radio networks : VeriEST: verification via PUES-based test for SDSS in CRNs

Kim, Mihui,Chung, Min Young,Choo, Hyunseung Wiley Blackwell (John Wiley Sons) 2012 Security and communication networks Vol.5 No.7

2차 고조파 최소화를 위한 광대역 중간주파수신기 개발

서미희(Mihui Seo),김현주(Hyun-ju Kim),김소수(Sosu Kim),김영곤(Young-Gon Kim) 한국전자파학회 2022 한국전자파학회논문지 Vol.33 No.1