Currently, the current status of mobile apps in traditional markets is still passive in digitalization, and services provided using mobile apps are limited. This study aims to propose a cloud platform-based mobile platform that can overcome digital transformation, strengthen the competitiveness of traditional markets, and revitalize the local economy by more consumers visiting traditional markets. This study identified the current situation and problems of the market due to its characteristics, and analyzed the impact and opportunities of cloud and mobile technology on the characteristic market. It also implemented a cloud-based smart traditional market mobile platform prototype. The platform combines the advantages of traditional markets with digital benefits to deliver value to all users, social, industrial, I hope it will be of great help on the social side.

In this study, a smart bench was developed and researched smart benches that can contribute to user convenience and satisfaction by installing them in parks, bus stops, and tourist attractions in line with the rapidly changing construction of smart cities. The smart bench is automatically operated by the control system according to the external temperature and provides additional functions such as charging, lighting, and advertising to improve general bench functions as well as heating in winter and cooling in summer, making it suitable for smart urbanization. The developed smart bench is designed to be strong enough to withstand loads of about 2,500 N. It minimizes the visible parts such as assembled bolts and 220V power supply wires, It can also give aesthetic effects. The development was carried out with the aim of waterproofing and dustproofing of IP44 grade in accordance with the climate of Republic of Korea, which has four seasons, and it is advantageous for long-term use because the paint was selected for the weather ability (discoloration) grade 3 or higher. If smart bench is commercialized, it is believed that various options can be provided to the smart bench market, where buyers had few product options, as the parts were developed in an assembled type so that all functions can be responded in an optional form according to the installation environment and the buyer's budget.

Due to the introduction of Smart Advanced Life Support in 2015, paramedics can provide Advanced Cardiovascular Life Support to patients with out-of-hospital cardiac arrest. Although studies have been conducted to confirm the effectiveness of Smart Advanced Life Support for patients with out-of-hospital cardiac arrest, there is a lack of exploration of the experiences that paramedics face in the field in a changed environment. In this paper, I report two cases experienced by paramedics when using Smart Advanced Life Support, including communication with uncooperative caregivers and the burden felt by paramedics. In addition, to promote Smart Advanced Life Support, I propose enhancing paramedic training, establishing communication guidelines with caregivers, expanding the promotion of Smart Advanced Life Support, and providing customized education for the elderly.

PURPOSES : This paper proposes an artificial neural network (ANN)-based real-time traffic signal time design model using real-time field data available at intersections equipped with smart intersections. The proposed model generates suitable traffic signal timings for the next cycle, which are assumed to be near the optimal values based on a set of counted directional real-time traffic volumes. METHODS : A training dataset of optimal traffic signal timing data was prepared through the CORSIM Optimal Signal Timing program developed for this study to find the best signal timings, minimizing intersection control delays estimated with CORSIM and a heuristic searching method. The proposed traffic signal timing design model was developed using a training dataset and an ANN learning process. To determine the difference between the traditional pre-time model primarily used in practice and the proposed model, a comparison test was conducted with historical data obtained for a month at a specific intersection in Uiwang, Korea. RESULTS : The test results revealed that the proposed method could reduce control delays for most of the day compared to the existing methods, excluding the peak hour periods when control delays were similar. This is because existing methods focus only on peak times in practice. CONCLUSIONS : The results indicate that the proposed method enhances the performance of traffic signal systems because it rapidly provides alternatives for all-day cycle periods. This would also reduce the management cost (repeated field data collection) required to increase the performance to that level. A robust traffic-signal timing design model (e.g., ANN) is required to handle various combinations of directional demands.

PURPOSES : Most Red bus1) (metropolitan bus) routes to Seoul need to increase supply by increasing the number of buses and number of trips because of the high level of congestion in buses, which also accommodate standing passengers. Due to the recent Itaewon disaster, people have been banned from standing on Red buses due to concerns over the excessive use of public transportation, adding to the inconvenience of passengers, such as increased travel time. However, some routes incur a large deficit owing to excess vehicles and trips relative to the number of passengers, thereby increasing the financial burden of Gyeonggi. Therefore, in this study, a reasonable operation plan is required based on the demand on Red bus routes. METHODS : Using accurate data from smart cards and a Bus Management System, the model was applied to consider bus usage, bus arrival distribution, waiting time, and operating conditions, such as actual bus usage time and bus dispatch interval. RESULTS : As a result of applying the model, buses between 7:00 and 9:00 and 16:00 and 18:00 were very crowded because of standing passengers, and passenger inconvenience costs decreased because of the longer waiting times for bus stops in Seoul. Currently, there are 15 buses in operation for the red bus G8110. However, considering the annual transportation cost, transportation income, and support fund limit, up to 12 buses can be operated per day. The G8110 route was analyzed at 23.6 million won for passenger discomfort cost, as 15 buses operated 97 times per day on weekdays. However, when establishing optimal scheduling, 12 buses per day operated 75 times per day, with a 19.7 million won passenger discomfort cost. CONCLUSIONS : As all red buses run from the starting point, passengers at the bus stop wait for more than an hour before entering Seoul, and the passenger discomfort cost of using demand-responsive chartered buses decreases only when commuting from Jeongja Station and Namdaemun Tax Office stops. Currently, many people commuting from Gyeonggi-do to Seoul are experiencing significant inconvenience owing to the ban on standing in Red buses; a suitable level of input can be suggested for the input and expansion of chartered buses.

The demand for knowledge transfer and experience sharing in terms of digital government and smart cities among partner countries has significantly increased. Digital government-related projects have been mainly proposed for the convenience of the system providers for the short-term or one-time instance without considering the mid-term to the long-term direction of digital government in partner countries. Due to this limitation, after the Knowledge Transfer projects are completed, the government partner countries that participated in the projects have examined the Knowledge Transfer projects and need to build improvement plans to promote the related project in efficient, effective, and sustainable ways with mid-term to long-term perspectives. This study focuses on the knowledge transfer projects in the digital government and smart cities that the Korean government and major public institutions carried out and analyses the status of digital knowledge transfer or official development assistance (ODA) projects from 2011 to 2020. In doing so, the study looked into establishing public sector systems such as digital government and smart cities and analysed the current status and research results of domestic and foreign studies related to assessment and diagnosis. Through this, major factors that determine the performance of digital government ODA were identified, and an analysis framework was derived for the analysis of existing cases of digital government knowledge transfer implementation.

Smart retail enabled through in-store technology (IST) is believed to be the future of retail. However, several IST impacts, especially on individuals' well-being remain undisclosed. This study attempts to discover IST impact, particularly electronic shelf label (ESL) as a prospective technology, on customer well-being and post-transaction behavior (i.e., willingness to pay (WTP) and positive word of mouth (PWOM). Survey were from generations X, Y, and Z generating 305 respondents. A post hoc analysis utilizing PLS MGA is discussed for Gen X & Millennials vs. Gen Z groups. This study provides empirical evidence of smart retail on customer well-being and how it affects customer post-purchase behavior, namely WTP and PWOM. This study also provides evidence of how it differs across generational cohorts.

Smart technologies are critical for businesses to develop these dynamic connections, as technologies enable them to network with others and exchange resources seamlessly. This fact makes it possible to modify the tasks performed by employees of tourism organizations that are in contact with consumers/tourists.

Technologies, such as Artificial Intelligence (AI) and robotics are emerging as a new way to improve services, readjusting and impacting all business industries and relationships among people (Loureiro et al., 2021; Makridakis, 2017; Mingotto et al., 2020). The hospitality industry is no exception to this (Mingotto et al., 2020) since a quick growth in the use of robots and AI in this industry has registered a turnover of 249 million U.S. dollars (International Federation of Robots, 2021). However, very few of the existing studies highlight the customers’ perspective and sentiments on service robots (Luo et al., 2021) or the robot-human interactions/ customer service experience (Choi et al., 2021). Thus, further studies in the enhancement of human well-being through transhumanistic technologies, close relationship marketing capabilities, and the evolution of the engagement process between humans and AI-enabled machines are necessary (Loureiro et al., 2021). This research intends to understand how different types of robots influence customers’ perception of the service provided. Therefore, the following research questions are proposed; Can humans develop feelings of identification with a service robot? Can the identification that customers perceive between themselves, and service robots be strong enough to influence the creation of a close relationship between both parties? What are the features of service robots that heighten customer well-being?

미국 예금 보험 공사의 Money SMART교육 자료는 모든 연령대의 사람들에게 필요한 금 융지식을 제공해, 그들이 금융과 관련된 실생활의 다양한 문제에 적절하게 대처할 수 있도 록 돕는다. 일상 생활에서 흔히 접하는 금융문제, 일반 부채, 주택관련 부채, 의료 비용 그리 고 학자금 융자등을 망라하고, 피할 수 없는 부채의 관리와 이해를 돕는 다양한 정보를 제공 한다. 또한 점점 증가하는 개인신분 도용과 현대 생활에서 거의 필수적인 신용카드 사용에 연관된 도움말을 매우 자세히, 세세한 분야까지 제공한다. 일부 내용은 상식에 준하는 내용 들이라 여겨 질 수도 있지만, 일상생활에서 접하는 금융관련 내용과 평균적인 미국인들의 경제 지식, 금융 지식을 함양하고, 고취하는 데 일조를 하고 있다고 평가된다.

Recently, small and medium-sized manufacturing companies have shown increased interest in and participation in smart factories in order to survive in market competition. However, many SMEs build smart factories without a systematic review or preparation, which leads to them not being able to use them properly. This study considers the main reason for the low utilization rate of smart factories to be a lack of sufficient reflection of user requirements. Therefore, a method and procedure for deriving the priority of smart factory requirement functions and operating performance indicators based on QFD is proposed as a solution to this issue.

The Smart AtoN(Aids to Navigation) project aims to upgrade the facilities of AtoN to provide new additional information to nearby ships and unmanned ships. This paper deals with methods for collecting various sensor data through standardized interfaces; the NMEA-0183(serial line), the NMEA-2000(CAN), and the NMEA OneNet(IPv6). The AIS(Automatic Identification System) and the AIS-ASM(Application Specific Message) are considered as communication means for providing sensor information to nearby ships. In this paper, we summarize existing NMEA sentences for collecting sensor data and AIS-ASM messages that can be used to deliver sensor data to ships. Information provided from the smart AtoN through AIS, ASM, etc. may be presented on the shipborne displays that complies with the IEC62288:2021 standard.

본 연구에서는 첫째, 국제표준에서 규정한 형광직물과 재귀반사 소재에, 아동들이 선호하는 동물의 문양을 재귀반 사 필름과 검정색 직물로 디자인하여 부착한, 2벌의 안전의복과 안전조끼를 제작하였다. 둘째, 야간에 주변광원이 없어도 원거리에서 생체를 인지할 수 있도록 안전의복에 스마트 포토닉 디바이스를 장착함으로써, 어린이들이 어두 운 때 버튼 원터치만으로 상황에 따라 3가지 발광이 가능하도록 구현하였다. 제작한 스마트 안전의복을 마네킹에 착용시켜 주야간의 시인성을 비교한 결과, 시인성의 차이가 야간에 확연히 나타났는데, 기존의 안전의복 착용 시에 는 주변광원 없이는 착용자가 표출되지 않은 반면, 스마트 안전의복 착용 시는 약 70m의 원거리에서도 표출됨을 확인하였다. 따라서 야간이나 기상악화 시에 주행하는 운전자가 원거리에서 생체를 인지할 수 있어 교통사고나 도로상의 안전사고 예방에 기여할 것으로 기대된다. 셋째, 광섬유의 발광기능 안정성 유지와 발광시간의 연장을 위하여 에너지 소진 시 태양전지로 수확한 전기에너지를 사용함으로써, 장시간 안정되게 광섬유 발광이 가능하여 시인성의 안정성을 확인할 수 있었다. 이로써 스마트 포토닉 안전의복은 야간 작업자용으로도 활용 가능함이 증명되었다. 그 러므로 광섬유 안전의복은 태양전지에 의한 에너지 하베스팅 적용으로 안정적인 충전에 의해 실생활뿐만 아니라 어 두운 산업현장에서도 착용 가능성이 높을 것으로 기대된다.