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.

In order to increase the production efficiency of the ship and shorten the production cycle, it is important to evaluate the accuracy of the ship components efficiently during the drying cycle. The accuracy control of the block is important for shortening the ship process, reducing the cost, and improving the accuracy of the ship. Some systems have been developed and used mainly in large shipyards, but in some cases, they are measured and managed using conventional measuring instruments such as tape measure and beam, optical instruments as optical equipment, In order to perform accuracy control, these tools and equipment as well as equipment for recording measurement data and paper drawings for measuring the measurement position are inevitably combined. The measured results are managed by the accuracy control system through manual input or recording device. In this case, the measurement result is influenced by the work environment and the skill level of the worker. Also, in the measurement result management side, there are a human error about the lack of the measurement result creation, the lack of the management sheet management, And costs are lost in terms of efficiency due to consumption. The purpose of this study is to improve the working environment in the existing accuracy management process by using the augmented reality technology to visualize the measurement information on the actual block and to obtain the measurement information And a smart management system based on augmented reality that can effectively manage the accuracy management data through interworking with measurement equipment. We confirmed the applicability of the proposed system to the accuracy control through the prototype implementation.

1. 본 연구는 저지대 천수답지역인 캄보디아 남부 따게오주에서2012~2013년에 2년간 벼 집약재배관리 시스템(System of Rice Intensification: SRI)에 대한 현장 연구 결과이다. 2. 천수답 지역에서 2년간 SRI는 FP 보다 화학비료 사용 없이 쌀 수량이 증가 되었다. 캄보디아 천수답 농가의 SRI 은 어린모로 조기 이앙과 넓은 재식 밀도로 인해 이삭수 확보와 함께 지형에 따른 물 보유 능력과 오랜 기간 유기물 사용으로 수량이 증가된 것으로 판단된다. 3. 쌀 수량에 미치는 영향으로 총 질소 흡수량과 단위면적당 총 영화수는 (r2=0.95) 정의 상관관계를 보였으며, 천수답 지역에서 물 관리 방법은 어렵지만 유기물을 장기간 사용한 지역 농가의 쌀 생산은 증가 되었다. 4. 최근 국내에서 일부 지역에서 소식재배가 확대되고 있는데SRI원리를 소식재배와 연계한다면 보다 좋은 재배방법이 될것으로 기대된다.

1996년도를 기점으로 공정안전관리제도는 화재·폭발 및 독성물질 누출사고를 예방하자는 목적으로 시작되었다. 현재는 정유, 석유화학 등 업종대상 사업장과 유해·위험물질 51종을 규정량 이상 사용하는 사업장 대상으로 나뉘며 총 2,000여개 사업장에 현재 적용중이다. 또한 전국 6군데 주요 화학공장 밀집 지역을 기반으로 중대산업사고예방센터를 운영하는 등 중대산업사고를 예방하기 위한 정부차원의 다양한 노력이 진행되고 있다. 덕분에 관련사고의 감소는 물론 수십명의 사상자를 야기하는 초대형 사고를 예방할 수 있는 기반과 대상 사업장에서 안전관리 체계를 구축 할 수 있는 계기가 되었다. 하지만 안타깝게도 매년 10여건의 중대산업사고가 발생하고 있는 점은 간과할 수 없는 현실이다. 따라서 본 연구에서는 현행제도를 보다 최신화하기 위한 첫 걸음으로 사고유발 인적요인을 분석해내고 최근 시작되고 있는 증강현실, 사물인식 기술 등과의 융합을 통한 차세대 공정안전관리 시스템에 대해서 검토하고자 한다.