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.

PURPOSES : This study proposes an index for analyzing mobility based on smartcard and taxi data to evaluate imbalances in public transit. METHODS : The proposed mobility index is calculated based on the difference between the mobility indexes of public transit and taxis using the variables of the in-vehicle time, waiting time, and driving ratio. For a more detailed analysis, the distances are divided into short distances, medium distances, and long distances. RESULTS : Public transit mobility indexes are generally evenly distributed, but the taxi mobility indexes are located in the largest legend. When comparing the respective mobilities of public transit and taxis, many areas with a high mobility of taxis (similar to the distribution) exist, especially in the outskirts such as Dobong-gu, Nowon-gu, Gangdong-gu, Guro-gu, Geumcheon-gu, and Eunpyeong-gu. On average, the mobility of public transit according to the distance is smaller in a short distance and higher in a long distance. CONCLUSIONS : The results demonstrate the use of the proposed index for analyzing the basic statuses of complementary indexes for evaluating public transit imbalances. In the future, more detailed results (including socioeconomic variables corresponding to the grid areas) should be studied to identify the impacts of the mobility index.

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.