This study is to develop a diagnostic model for the effective introduction of smart factories in the manufacturing industry, to diagnose SMEs that have difficulties in building their own smart factory compared to large enterprise, to identify the current level and to present directions for implementation. IT, AT, and OT experts diagnosed 18 SMEs using the "Smart Factory Capacity Diagnosis Tool" developed for smart factory level assessment of companies. They analyzed the results and assessed the level by smart factory diagnosis categories. Companies' smart factory diagnostic mean score is 322 out of 1000 points, between 1 level (check) and 2 level (monitoring). According to diagnosis category, Factory Field Basic, R&D, Production/Logistics/Quality Control, Supply Chain Management and Reference Information Standardization are high but Strategy, Facility Automation, Equipment Control, Data/Information System and Effect Analysis are low. There was little difference in smart factory level depending on whether IT system was built or not. Also, Companies with large sales amount were not necessarily advantageous to smart factories. This study will help SMEs who are interested in smart factory. In order to build smart factory, it is necessary to analyze the market trends, SW/ICT and establish a smart factory strategy suitable for the company considering the characteristics of industry and business environment.

A smart connective control system was invented recently for coupling control of adjacent buildings. Previous studies on this topic focused on development of control algorithm for the smart connective control system and design method of control device. Usually, a smart control devices are applied to building structures after structural design. However, because structural characteristics of building structure with control devices changes, a iterative design is required for optimal design. To defeat this problem, an integrated optimal design method for a smart connective control system and connected buildings was proposed. For this purpose, an artificial seismic load was generated for control performance evaluation of the smart coupling control system. 20-story and 12-story adjacent buildings were used as example structures and an MR (magnetorheological) damper was used as a smart control device to connect adjacent two buildings. NSGA-II was used for multi-objective integrated optimization of structure-smart control device. Numerical simulation results show the integrated optimal design method proposed in this study can provide various optimal designs for smart connective control system and connected buildings presenting good control performance.

절화 장미 스마트팜과 관행농가의 시설현황과 2018년 11월 부터 2019년 1월까지의 재배환경 및 절화 품질을 비교하였다. 두 농가 모두 연동 플라스틱 온실이었고, 스마트팜은 자동제어시스템이 설치되어 있었으나, 일부만 제어가 되고 있었다. 농가의 재배환경을 분석한 결과, 스마트팜의 시설 내 온도는 계절에 관계없이 일정하게 유지되고 있었으나 광량과 습도는 두 농가 모두 적정 값에 미치지 못하는 것으로 나타났다. 재배 품종의 절화 특성을 조사하여 품질을 분석한 결과, 스마트 팜의 ‘Soprano’ 품종은 11월부터 1월까지 절화수명이 약 8.6~ 9.8일로 유사하게 나타났으며 ‘Victoria’ 품종은 1월에 통계적으로 유의차 있게 다소 수명이 단축되었으나 1월을 제외하고는 약 8.2~8.6일로 수명이 비슷한 것으로 조사되었다. 관행농가의 ‘3D’와 ‘Kensington Garden’ 품종은 절화수명이 일정하게 나타나지 않았다. 절화수명에서 품종별 유의적 차이는 없었고 월별 유의적 차이만 나타났는데 이는 품질 차이가 아닌 온실 환경 때문이라고 판단된다. 스마트팜은 CCTV나 어플리케이션을 통해 실시간으로 온실관리를 할 수 있어 재배환경이 다소 일정하게 유지되었으며, 추후 ICT(Information and Communications Technologies) 기술 확대로 완전자동제어시스템이 이루어져 균일한 품질의 절화 장미가 생산될 수 있도록 해야 될 것으로 판단된다.

The population of domestic companion animals is estimated to be about 10 million now. In recent years, the domestic pet market has been launching a wide range of products and services for high quality, smart and well-being. As a result, the market size will increase from 900 billion won in 2012 to 2.3 trillion won in 2016, which has more than doubled in five years. The industry expects to reach 6 trillion won by 2020, expecting 3 trillion won this year. In particular, domestic dogs and cats market is estimated at 275.5 billion won, accounting for 19% of the domestic animal market and 1.425 billion won for the world market. However, despite the growing market for companion animals products, unfortunately the import dependence on related industrial goods is still high and the quality of service is very low. Unlike Europe and the United States, 90% of companion animals are housed in apartments, often causing problems in the health and safety of companions and companions. The purpose of this study is to develop a smart house for companion animals with environmental friendliness and AI function that can be won in competition with products of developed countries. The results of this study are expected to contribute to the creation of a new value - added base for the related industries through the strengthening of the competitiveness of the related SMEs and further the effect of employment increase and import substitution.