목적 : 본 연구는 스마트 기기 활용 역량이 스마트 기기 기반 국가시험 인식에 미치는 영향을 검증하는데 목적을 둔 실증적 조사연구이다. 방법 : 국가시험에 응시 예정인 안경광학과 전공 학생 60명을 대상으로 진행하였으며, 설문은 총 15문항으로 구성되어 있으며, Likert 5점 척도로 조사가 이루어졌다. 결과 : 스마트 기기 활용 역량 중 정보, 문서화 역량을 제외하고는 기록, 소통, 관리, 멀티미디어화 역량이 스마트 기기 기반 국가 시험 인식에 유의한 정적 상관관계가 나타났다. 또한, 스마트 기기 기반 국가시험에 대한 긍정적 인식은 46%이며, 스마트 기기 활용 역량 중 멀티미디어화 역량이 스마트 기기 기반 국가시험 인식에 유의한 영향을 미치는 변수로 나타났다. 결론 : 본 연구로 멀티미디어 문항개발 및 스마트 기기 기반 국가 시험 도입에 대한 타당성을 확보하고, 스마트 기기 기반 국가시험 체제의 문제점을 보완하여 국가시험을 준비하는 학생들에게 멀티미디어 문항이 포함된 스마트 기기 기반 국가시험이 신뢰할만한 시험이라는 긍정적 인식 변화에 영향을 미칠 것으로 사료된다.

Smart healthcare clothing combines IoT, new technology, and clothing construction to perform specific care functions, and its utility has been expanding rapidly within aging and diversified societies. However, the related market remains at an early stage of development due to limited regulation, lack of consumer awareness, and the need for not only technical development but promotion plans for potential users. This paper aims to analyze factors influencing purchase intention for smart healthcare clothing with biosignal monitoring, including variables in the Technology Acceptance Model (TAM), clothing attributes, health-related lifestyle factors, and fashion innovativeness. A survey was conducted on a sample of 300 males and 300 females ranging in age from 20 to 50 years, and data were analyzed using SPSS 21.0. The results show that perceived usefulness, perceived aesthetic attributes, health responsibility, and fashion innovativeness were overall significant predictors of using smart healthcare clothing. Additionally, perceived ease of use and physical activity in the male subsample, and perceived compatibility within the female group, also had significant effects. Furthermore, age was a determining factor; for subjects in the 30s age group, perceived usefulness, compatibility, and health responsibility had significant positive associations. The results of this study can provide basic guidelines for designing merchandising plans to expand user acceptance of smart healthcare clothing.

Since the appearance of smartphones, the smartphone market has been in fierce completion by new technologies and marketing trends. The smartphone market is now somewhat saturated, and the manufacturers are trying to improve their position in the market through the repurchase of existing customers and the influx of competitors. At the same time, customers have their own purchasing criteria for smartphones. Therefore, manufacturers need to determine new technology and marketing trends based on customer purchasing trends and usage characteristics. The aim of this study is to analyze the quality attributes of smartphones. We conducted a survey on 220 respondents, and divided the respondents into several groups by purchasing trends and usage characteristic through cluster analysis. The groups are analyzed and compared based on the Kano model for the quality attributes of smartphone. The analysis result are as follows. Firstly, purchasing trends divide responders into groups that prefers high-end premium smartphones and those that take into account practicality in terms of purchasing trends. Secondly, usage characteristic divide responders into three groups: those with clear usage pattern, those who prefer ease of use, and the rest, and we find out that those with clear usage pattern are important customer in viral marketing. Lastly, Kano analysis is revealed the ‘Slow/ hi-speed camera’, ‘Private mode’, ‘Widget’, ‘Health care’ are attractive quality attributes.

The South Korean government is actively assisting the supply of the smart factory solutions to SMEs (Small & Medium-sized Enterprises) according to its manufacturing innovation 3.0 policy for the smart manufacturing as the 4th industrial revolution era unfolds. This study analyzed the impacts of the smart factory solutions, which have been supplied by the government, on the companies performances. The effects of the level of smart factory and the operation capabilities for the smart factory solutions on company performances, and the mediating effects of manufacturing capabilities have been analyzed using SPSS and AMOS. The data for this survey-based study were collected from the SMEs which implemented the smart factory solutions since 2015. The results show that the level of smart factory solutions adopted and operation capabilities for the smart factories do not have direct effects on the company performances, but their mediating effects on the manufacturing capabilities matter and the manufacturing capabilities effect directly on the company performances. In addition significant factors boosting the operation capability for the smart factory and the levels of the smart factory solutions are identified. Finally, the policy direction for enhancing the smart factory effects is presented, and the future research directions along with the limitations are suggested.

The objective of this study is to establish a direction for smart aquaculture technology development in the Republic of Korea through patent analysis and a demand survey of experts and fishermen. The patent analysis was conducted using Wisdomain for patents in the Republic of Korea, the United States of America, Europe, Japan, and China from 2005 to 2016. This study conducted an analytic hierarchy process (AHP) survey of experts in the fields of fishery, marine, and ICT among others. Furthermore, it carried out a demand survey of 85 fishermen in Jeonnam and Jeju. The smart aquaculture technology market has moderately grown in the Republic of Korea until recently, and it is expected to expand further because of the expansion of national investment in the smart aquaculture field. The priority evaluation results for developing smart aquaculture technology show that land-based aquaculture has a higher priority than sea-based aquaculture. Of the fishermen that responded, 84% said that they need to introduce smart aquaculture technology to solve problems in the supply and demand of manpower, labor cost, and maintenance expenses. The direction of development should lie in developing biological and environment-based standard aquaculture models to spread high-tech systems and vitalize the aquaculture industry. This requires continual training of human resources in the smart aquaculture field.

This research has been conducted to develop a prevention module of collision and balance lost in electric wheelchairs. Ultrasonic sensors were used for detecting obstacles. Giro and acceleration sensors were used for measuring the tilt angle of wheel chair frame. Kalman filters were employed for filtering high-frequency noise of acceleration sensor and removing zero drift of the Giro sensor. The presence and location of obstacles were detected, and their information was sent to the user smartphone. When the tilt angle of the wheelchair frame exceeded a certain value, a warning signal was set to operate. Raspberry Pi camera module was used to transfer rear view image data to the smartphone to help the driver acknowledge obstacles in the rear side. A DSP processor with high computing performance was necessary to realize a real-time processing of the sensor and image data. Our research showed that a prevention module of collision and balance lost connected to a smartphone can be realized at a considerable low price.

최근 조선 해운 산업 분야에서 큰 관심을 보이고 있는 자율운항선박의 현실화를 위해서는 선박의 운항 상태를 육상에서 효과적으로 확인하고 진단할 수 있는 기술이 필수적으로 뒷받침되어야 한다. 본 논문에서는 선박 운항데이터를 수집하는 데이터 수집 플랫폼과 선내 및 육상 서비스를 제공하는 플랫폼이 하나의 시스템으로 동작하는 스마트선박 솔루션을 제시하고, 이를 실제 운항 선박에 적용하여 기존의 선박 데이터 수집 체계 대비 고품질의 다양한 데이터가 수집 가능함을 평가하였다. 또한 이렇게 수집된 데이터에서 주기관 관련 파라미터들의 데이터 분석을 수행하여 유효한 결과를 도출하고 패턴을 시각화하여 종합적인 상태를 판단하는데 활용 가능함을 보였다. 마지막으로 이러한 연구 결과를 선박의 다양한 장비로 확장 적용하고 운항 환경 데이터까지 함께 분석한다면 육상에서 선박의 운항 상황을 보다 효과적으로 확인하고 평가 가능함을 제시하였다.

선박은 충돌방지를 위해 해상충돌예방규칙에 의해 운항한다. 하지만 다수의 선박이 동시에 운항하는 특수상황 시에는 해상충 돌예방규칙을 적용하기 곤란하며 이때는 운항자의 개인능력에 의한다. 이러한 경우 해상교통관제를 통한 교통상황 관리가 필요하다. 이에 전 세계적으로 VTS(Vessel Traffic Services)를 통해 해상교통이 관리되고 있으며 운용 방법은 관제요원이 VTS 시스템을 이용하여 위험상황을 판단하고 통신시설을 이용하여 선박들에게 안전운항을 권고한다. 이 연구에서는 기존 방법에 AI(Artificial Intelligence) 기법을 추가하여 운항자의 관점에서 위험상황을 판단하는 방법에 대해 고찰한다. 또한, 관제 효율성 증대를 위해 AR(Augmented Reality)기법을 추가한 해상교통안전모니터링 시스템에 대해 설명한다. 이 시스템은 위험상황 및 위험 우선순위 예측이 정량적으로 가능하여 복잡한 교통상황시 실제 운항자가 충돌회피하는 방법과 동일한 순차적 위험상황 해소가 가능하다. 특히, 위험상황을 관제요원의 관점뿐만 아니라 각 선박의 운항자의 관점에서 분석할 수 있어 기존의 방법보다 실제적이다. 또한, 분석결과를 통해 정량적인 위험수역 파악이 가능하여 충돌회피를 위한 권고항로 지원이 가능하다. 결과적으로 이 시스템은 해상교통상황이 복잡한 해역에서의 선박간 충돌방지에 도움이 될 것이다. 특히, 해양분야 제4차 산업혁명에 주요한 분야를 차지하는 자율운항선박에 충돌방지 기능으로 사용될 수 있을 것이다.

본 연구의 목적은 예비영유아교사의 행복감, 스마트폰 중독, SNS 중독의 관계에 대하여 알아보는 것이다. 연구 대상은 경기도 소재 4년제 및 3년제 영유아교육 관련학과에 재학 중인 남녀 대학생 220명이었다. 수집된 설문조사 결과는 SPSS 20.0을 사용하여 분석하였다. 연구 결과는 다음과 같다. 첫째, 예비영유아교사의 행복감, 스마트폰 중독, SNS 중독 정도로는 행복감에서 외적행복의 평균이 3.64(SD=.54)로 가장 높았으며 내적행복이 3.32(SD=0.73), 조절행복이 3.08(SD=0.69)로 나타났고, 스마트폰 중독에서는 내성에 대한 평균이 2.10(SD=.73)으로 가장 높았으며, 일상생활장애가 2.10(SD=.73), 금단이 2.09(SD=.71)이었으며, 가상세계지향의 평균이 1.67(SD=.63)로 가장 낮았다. SNS 중독에서는 몰입 및 내성에 대한 평균이 2.26(SD=.57) 로 가장 높았으며, 조절실패 및 일상생활장애 2.14(SD=.56), 부정정서의 회피 2.11(SD=.56)이 었으며, 가상세계지향의 평균이 1.87(SD=.48)로 가장 낮았다. 둘째, 예비영유아교사의 행복감, 스마트폰 중독, SNS 중독의 상관관계에서는 행복감이 높을수록 스마트폰 중독과 SNS 중독은 낮게 나타났고, 내적 행복감이 높을수록 몰입 및 내성, 가상세계지향성 및 금단에 대한 중독성은 낮아진다는 결과가 나왔다.

Contemporary University students are considered the Z generation who were born after 1995. They are more tech savvy than millennials. To target the generation, traditional class management platforms have evolved to smart LMS that is more customized and accessible for smart devices. Global level information search and collaboration can also be implemented using such smart LMS. However, switching from one LMS to another LMS requires great effort from teachers and support from staffs. This study measured the learners’ perception of the system when they were exposed to a new smart-LMS. Blackboard Learn Ultra was used for 15 weeks and at the end of the semester, a questionnaire was administered to the students of these classes. Results indicated that experience with previous LMS discouraged students from adopting Blackboard Learn. Result of TAM modeling indicated that perceived usefulness, compared to perceived ease of use and attitude, was an effective aspect to bring positive acceptance of the system. A qualitative approach and network analysis were also conducted based on students’ responses. Both positive and negative responses were detected. Inconvenience due to mechanical aspects was mentioned. Dissatisfaction compared to previous local LMS use was also mentioned. Mobile application and communication effectiveness were positive aspects. Revised course development and promoting how useful the system may help enhance the acceptance of the new system.