• The Journal of Bigdata
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• v.8 no.1
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• pp.83-97
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• 2023

Project evaluation is the process of evaluating the progress and results of a project. Smart city projects can be divided into system components (infrastructure, services, platforms), or projects can run simultaneously for multiple services. In addition, services are developed and expanded through additional projects. In order to ensure that the smart city, which is composed of various projects, proceeds in accordance with the goals and strategies, periodic project evaluation is required during the project implementation process. The smart city project evaluation system proposed in this paper is designed to provide comprehensive and objective indicators by reflecting various factors that must be considered for projects occurring in all stages of planning, design, construction, and operation of smart cities. The indicators derived from the evaluation system can be used by decision makers to determine the direction of smart city project development. In addition, it is designed so that the performance of the project can be evaluated interim before the end of the project and the feedback obtained from it can be reflected. To introduce the application method of the smart city project evaluation system proposed in this study, the evaluation system developed in this study was applied to the smart city project case of Incheon Free Economic Zone (IFEZ). Based on the evaluation results, items that can maximize the improvement effect of each smart city project item were presented, and the direction of smart city project implementation was suggested. By utilizing a smart city project evaluation system that reflects the characteristics of smart city projects that are composed of multiple projects, comprehensive planning and management of smart city projects will be possible, and this study will serve as a reference for identifying priority improvement factors for projects.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.6
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• pp.83-90
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• 2023

In a reefer container, temperature deviation occurs between the front of the loading part with the refrigerator and the rear of the loading part with the container door due to the external environment. In particular, this temperature deviation in the transport of fresh cargo has a great influence on the freshness of the cargo. In this study, we propose a method to minimize the temperature deviation by partially shielding the T-Floor to reduce the temperature deviation and evaluating the effect of the T-Floor shielding rate on the temperature change of the reefer container loading part. The subject of the experiment was a 40 feet smart reefer container, and the T-Floor shielding rates were set to 0%, 50%, 60%, 70%, and 80%. As a result of the experiment, it occurred differently in the temperature deviation of the reefer container loading part according to the shielding rate, and it was confirmed that the temperature deviation was the most uniform when the shielding rate was 60%. By minimizing the temperature deviation of the loading part, it is possible to prevent corruption and cold damage of cargo during transportation of fresh cargo by using the smart reefer container.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.351-356
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• 2014

Generally, although securing the condition and location of container freights or normal freights, which load a fresh goods, has been a very important issue in the cold-chain system implementations, it has not gotten out of the traditional methods in the related business world yet. To solve this problem, we propose the designing method and architecture which can be used to implement a smart cold-chain monitoring automation systems. The proposed system architecture is based on the oneM2M standards, and it has 3 layers and entities, which can be implemented to S/W and H/W, network services layer and entity, common services layer and entity, application layer and entity. Based on this architecture, we will not only expect an innovative retrenchment of distribution cost, but also automatically secure the freight condition and location.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.165-166
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• 2020

Internationally, manufacturers attempted respectable portion of in-house logistics to satisfy end users and decrease manpower to compete for manufacturing price and quality optimization. Mostly, manufacturers operate variety of facilities such as collaborative robots, conveyor, etc. based on PLC. To achieve it, manufactures shall operate the optimized number of manufacturing processes with logic controlled by computer to reduce human errors. In prior to it, manufacturing industry still own plenty of fields which have not yet been adjusted with automation. For example, we shall put in-house logistics on the issue. This study focuses on manufacturing industry, evaluate efficiency, costs, etc. in all aspects and suggest alternatives by analysis SWAT and OEE, let alone reason of weakness.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.139-148
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• 2005

EPC를 탑재한 RFID 형태의 스마트객체를 이용한 물류 시스템을 구축하기 위해서는 시스템 구성 요소간의 거래에 필수적인 RFID 객체의 PML 데이터를 표현하고 검색요구에 대응하는 RFID 정보서비스의 설계 및 관리가 매우 중요하다. EPC기반 RFID 정보서비스는 네트워크상의 정보시스템들에 보안과 운영의 이유로 분산되어 있는 RFID 객체 정보들을 검색하여 사용자가 요구하는 결과를 반환하는 역할을 담당한다. 하지만 RFID 객체 정보의 표준화된 표현과 처리, 그리고 분산처리로 인한 통신량과 처리시간과다의 문제가 존재한다. 이에 대해서 본 연구는 물류시스템의 PML 데이터의 표현 및 사용, 검색패턴을 분석하고, 분석 결과를 기반으로 미들웨어를 이용하는 분산형 RFID 객체 데이터 관리 및 RFID 객체 정보서비스 구조를 설계하고 제시하였다. 단일형 및 통합형 RFID 정보서비스 구조를 제시하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.280-283
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• 2019

통신기술이 1 세에서 5 세대로 발전하는 동안 해상물류의 핵심인 컨테이너는 기능상의 큰 발전없이 과거에 머물러 있다. 이에 본 논문에서는 컨테이너의 위치 및 상태 정보를 수기로 관리하던 기존의 방식에서 벗어나 IoT 장비를 활용해 실시간 위치 파악, 상태 모니터링 및 자동화 등을 통해 물류의 가시성을 확보하고 컨테이너를 효율적으로 재배치함으로써 비용 절감 및 새로운 서비스 창출하기 위한 스마트 컨테이너를 제안한다. 부가적으로, 태양열판을 이용한 전원공급, 펠티어 소자를 이용한 냉방기능을 제공함으로써 신선 식품 배송의 핵심인 풀 코드 체인(Full Cold Chain) 플랫폼으로 활용범위를 넓히고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.910-912
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• 2022

최근 물류업계는 코로나 펜데믹 이후 비대면 활동의 증가로 물류의 양이 빠르게 증가하고 있는 추세이다. 이를 해결하기 위해 업계는 인력을 계속해서 투입하고 있지만, 물동량 증가율을 따라잡지 못하고 있다. 본 논문에서는 유전알고리즘으로 결정된 최적 배송 순서 기반으로 작동하는 스마트 자동분류 시스템을 개발함으로써 이 현상을 해결하고자 한다. 해당 시스템은 결정된 배송순서에 맞게 택배를 자동으로 분류할 수 있고, 최종적으로 근무환경 개선과 물류효율성 증대에 기여할 것으로 기대한다.

• Journal of Korea Port Economic Association
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• v.28 no.4
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• pp.121-147
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• 2012

The quick spread of smartphones has affected not only individual life but also the way companies conduct their businesses. Employees is their business work using a variety of mobile devices including smartphones and are in constant collaboration with one another by sharing corporate information. Accordingly, constant an increasing number of businesses have adopted mobile applications for work, especially in the field of maritime logistics, where maritime logistics mobile applications are utilized to track cargos and to provide visibility. Through surveys, this study did empirical analyses to find out the intention to use maritime logistics mobile applications of maritime logistics workers, and the find out factors affecting their actual use of mobile applications developed and used in the domestic maritime logistics industry. As for study variables, social influence, innovation, perceived value, and collaboration between companies were used as factors that affect the intention to use mobile applications. In addition, as a tool for measuring the actual use of mobile applications, which is necessary for figuring out the relationship between the intention to use them and their actual use, the connecting frequency and using time were used. A total of 168 surveys were used in the hypothesis test. The results of the analyses are as follow: First, the three variables of social influence, innovation, and perceived value positively affected the intention to use maritime logistics mobile applications. However, collaboration between companies did not affect the intention to use the applications. Second, the intention to use the mobile applications positively affected the actual use.

• Journal of the Korea Convergence Society
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• v.2 no.4
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• pp.15-19
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• 2011

The transportation and logistics industries, the constructions of a green transport methods for logistics systems are presented. They aims the greenhouse gas emissions 37% savings compared to BAU(Business As Usual) for a green growth of national strategy by 2020. An eco-driving training for truck drivers is a typical way. However there are few studies such as the integrated data collection automatically and the diagnostic Assessments and monitoring methods of logistics network status to show the effects of the eco-driving. To solve this problem, this paper provides previous research on logistics network diagnostics assessments and monitoring service and eco-driving. Then this paper shows developments of the logistics network diagnostic assessments and monitoring service business flow to promote eco-driving behaviors for truck drivers based on a smart phone application. Also, it shows an efficiency through an application results in field test.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.278-280
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• 2019

부산항 해운항만산업은 부산 전체 산업 매출의 8.7%를 차지하고 있음에도 불구하고 해운항만산업의 규모가 상대적으로 영세해 산업역량 강화를 위한 산업 고도화 방안 마련이 시급한 상황이다. 한국정보화진흥원에서 산업별 정보화 수준을 진단한 결과 해운항만산업이 속한 운수업의 IT 활용지수는 다른 산업에 비해 낮은 수준으로 진단된다.