Path planning is necessary for mobile robots to perform precise and rapid tasks. A collision avoidance function must be included so that the robot can move safely during work, and it must be able to create an optimal path to reduce work execution time and save energy. In this paper, we propose a smart route generation algorithm that searches for global route with an algorithm that can speed up route search and integrates the TEB algorithm that can search for regional optimum routes in real time according to the situation. The performance of the proposed algorithm was verified through actual driving experiments of mobile robots.

Background: Smart devices including smart phones have many benefits. However, prolonged used may aggravate cervical pain and postural deformity. Smart devices with appropriate applications (apps) may be useful cost-effective and easy-to-use instruments to relieve cervical pain and improve range of motion (ROM). Objectives: To review recent experimental studies on smart device-based apps on cervical pain and postural ROM improvement. Design: Systemic review study. Methods: Ten articles were selected through bibliographic searches and successive and exclusion procedure of the PubMed, ScienceDirect, and Google Scholar. Out of initial 1,046 articles, 98 articles were selected from abstract review. 33 articles were selected for full article review. Final 10 research articles were selected. Results: Three static ROM feasibility, two active ROM feasibility, four self-management promotion, and one pre/post research study articles were included. Smart device with artificial intelligent (AI) based app were utilized promote adherence to physical activity. Conclusion: Smart device apps steadily showed high feasibility even for research purpose. Studies on AL and machine learning apps showed mixed results for need for wider and precision application.

본 연구의 목적은 스마트시티 구축의 핵심인 수소연료전지의 활용형태를 분석하고 해결방안을 제시하는 것이다. 수소연료전지를 활용하는 발전소의 경우 간헐성 문제가 없다는 장점 때문에 향후 가장 유망한 사용 형태로 분석됐다. 다만 많은 장점에도 불구하고 폭발 우려와 특정 수소 생산방식의 경우 이산화탄소 발생 문제 등으로 지역주민들의 반발이 지속적 으로 나타나고 있어 이를 해결하는 것이 스마트시티 구축의 주요 관건이 될 것으로 분석된다. 마지막으로 현재의 수소 생산 방식을 분석하고 이에 따른 문제점을 파악하여 스마트시티의 완전한 구축을 위한 해결책을 제시하였다.

Manufacturing process mining performs various data analyzes of performance on event logs that record production. That is, it analyzes the event log data accumulated in the information system and extracts useful information necessary for business execution. Process data analysis by process mining analyzes actual data extracted from manufacturing execution systems (MES) to enable accurate manufacturing process analysis. In order to continuously manage and improve manufacturing and manufacturing processes, there is a need to structure, monitor and analyze the processes, but there is a lack of suitable technology to use. The purpose of this research is to propose a manufacturing process analysis method using process mining and to establish a manufacturing process mining system by analyzing empirical data. In this research, the manufacturing process was analyzed by process mining technology using transaction data extracted from MES. A relationship model of the manufacturing process and equipment was derived, and various performance analyzes were performed on the derived process model from the viewpoint of work, equipment, and time. The results of this analysis are highly effective in shortening process lead times (bottleneck analysis, time analysis), improving productivity (throughput analysis), and reducing costs (equipment analysis).

Agrophotovoltaic (APV) system is an integrated system producing crops as well as solar energy. Because crop production underneath Photovoltaic (PV) modules requires delicate management of crops, smart farming equipment such as real-time remote monitoring sensors (e.g., soil moisture sensors) and micro-climate monitoring sensors (e.g., thermometers and irradiance sensors) is installed in the APV system. This study aims at introducing a decision support system (DSS) for smart farming in an APV system. The proposed DSS is devised to provide a mobile application service, satellite image processing, real-time data monitoring, and performance estimation. Particularly, the real-time monitoring data is used as an input of the DSS system for performance estimation of an APV system in terms of production yields of crops and monetary benefit so that a data-driven function is implemented in the proposed system. The proposed DSS is validated with field data collected from an actual APV system at the Jeollanamdo Agricultural Research and Extension Services in South Korea. As a result, farmers and engineers enable to efficiently produce solar energy without causing harmful impact on regular crop production underneath PV modules. In addition, the proposed system will contribute to enhancement of the smart farming technology in the field of agriculture.

지역의 혁신역량은 지속 가능한 지역경제의 주요한 성장의 원천으로 받아들여지고 있으며 이에 관한 많은 연구가 보고되었다. 최근에는 지역혁신체제의 정책적 수행과정에서 지역의 특성을 반영해야 한다는 스마트 특성화 전략이 제안되었으나, 실증 연구는 제한적인 결과를 제시하는 데 그치고 있다. 이에 본 연구는 스마트 특성화를 기존의 지역혁신 연구의 보완 전략으로 접근하여 한계점을 극복하고자 하였다. 이를 위해 스마트 특성화를 지역혁신체제의 대체 전략이 아닌 지역혁신 역량의 제도 요소로 보고, 지역혁신역량과 지역경제 간 관계를 분석하여 스마트 특성화가 지 역경제에 미치는 영향을 파악하였다. 국내 16개 시·도에 대해 2009-2018년의 10개년으로 구 성한 패널 모형을 통해 연구를 수행하였으며, 적합한 패널 모형을 탐색하는 과정을 통해 최 종적으로 FGLS모형을 활용하였다. 연구 결과 산업의 연관 다양성과 비연관 다양성으로 구성된 스마트 특성화는 지역경제에 긍정적인 영향을 미치는 것으로 나타났다. 또한 기반 요소, 촉진 요소로 나누어 측정한 다른 지역혁신역량 역시 지역경제에 긍정적인 영향을 미쳐 기존 지역혁신과 지역경제 간 긍정적인 연구 결과를 확인하였다. 본 연구는 국내 연구가 부족한 스마트 특성화를 지역혁신역량의 제도적 요소로 보고 지역별 산업 연관 다양성과 비연관 다양성을 통해 이를 측정하였다는 데 의의가 있다.

Looking at the recent market trends in the cafe industry, a new business culture called smart cafes is emerging as fears of face-to-face contact have increased due to the pandemic of the new virus infection (COVID-19). Unlike the existing cafe operation method in which store employees receive orders from customers and serve, smart cafes are operated without store employees by smart control technology in a 24-hour non-face-to-face space (untact space). However, smart unmanned cafes, which are currently in the early stages of supply, have not shown satisfactory operational performance due to various problems compared to the existing cafe industry. Therefore, this study aims to derive operational status and problems through a survey of facility managers and store operators of actual smart unmanned cafes and suggest new marketing activation measures to improve them. Therefore, the results of this study are expected to be of great help in establishing and revitalizing a new cafe business culture.

Agrophotovoltaic (APV) system is an integrated system producing crops as well as solar energy. Because crop production underneath Photovoltaic (PV) modules requires delicate management of crops, smart farming equipment such as real-time remote monitoring sensors (e.g., thermometers, irradiance sensors, and soil moisture sensors) is installed in the APV system. This study aims at introducing a simulation-based decision support system (DSS) for smart farming in an APV system. The proposed DSS is devised to provide a mobile application service, satellite image processing, real-time data monitoring, and simulation-based performance estimation. Particularly, an agent-based simulation (ABS) is used to mimic functions of an APV system so that a data-driven function and digital twin environment are implemented in the proposed system. The ABS model is validated with field data collected from an actual APV system at the Jeollanamdo Agricultural Research and Extension Services in South Korea. As a result, farmers and engineers enable to efficiently produce solar energy without causing harmful impact on regular crop production underneath PV modules. In addition, the proposed system will contribute to enhancement of the digital twin technology in the field of agriculture.

사물인터넷(IoT) 기술을 활용한 전력 사용량 모니터링은 스마트팜 운영비 절감 기술 개발을 위한 기초자료로 필요성이 부각되고 있다. 본 연구에서는 멜론 생산 스마트팜 운영 중 실시간 전력사용량 모니터링 시스템을 설치한 예를 소개하고 이 를 이용하여 수집된 데이터를 실시간으로 활용하는 방법을 제 안한다. 전력사용량 모니터링 시스템의 실증을 위하여 멜론 스마트팜에서 3개월의 멜론 재배기간 동안 보일러, 양분분배 시스템, 자동제어기, 순환팬, 보일러제어기, 기타 IoT 관련 유 틸리티 등 스마트팜 시설에서 사용하는 개별 전원 기구들의 전력사용량 데이터를 수집하였다. 모니터링 결과를 이용하여 전기에너지 소비패턴의 예시를 분석하고, 측정 데이터를 최 적으로 활용하기 위해 필요한 고려사항을 제시하였다. 본 논 문은 전력사용량 모니터링 시스템을 새로이 구축하고자 하는 유저들에게 기술적 진입장벽을 낮추고 생성된 데이터 활용 시 시행착오를 줄이는 데 유용한 자료가 될 것으로 사료된다.

The purpose of the present research is to verify the design characteristics of the SMART facility for the application of the IAEA’s safeguards-by-design (SBD) concept to small modular reactor (SMR) and to establish a foundation for SBD to be faithfully implemented as early as possible from the design stage. International Atomic Energy Agency (IAEA) is planning to facilitate the verification activities of inspectors by developing a safeguards approach to the reactor as early as possible and preparing a safeguards technical report (STR) before commercial operation of SMR begins. To this end, the IAEA is developing various approaches to the application of SBD to SMR with countries such as Republic of Korea, Russian Federation, China, the United States, and Canada through the Member State Support Program (MSSP). In order to review the unique design information of SMART facilities, the only deployable SMR in Korea, and to establish safeguards from the early design stages of SMART, it is necessary to carry out the task through cooperation with the Korea Atomic Energy Research Institute (KAERI) and Korea Institute of Nuclear Nonproliferation and Control (KINAC). IAEA agreed with the KINAC and KAERI to the direction of the project and to prepare both the Design Information Questionnaire (DIQ) and the Safeguards Technical Report (STR) for SMART facilities sequentially. The DIQ is a collection of questions to understand the characteristics of the reactor facilities that must be considered in applying safeguards. The STR is a document referenced by IAEA inspectors when verifying safeguards. Those draft versions were prepared and submitted to the IAEA. After review opinions were received, additional revision was conducted. In 2022, the IAEA holds the consultancy meeting on SBD for SMART. The purpose of the meeting is to review the draft DIQ and STR prepared by designers and discuss the future work plan of the task with designer and the task point of contact in order to safeguards can be considered at the early stage of the design. The results will be beneficial to the efficient safeguards verification activities of IAEA inspectors in the future.