• Fire Science and Engineering
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• v.34 no.1
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• pp.26-36
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• 2020

It is very difficult to suppress fire by rapid flame spread through flue space between flammable commodities on the rack when a fire occurs in the rack storage. At present, the fire protection system for rack storage in Korea has many issues, and the new fire protection system was designed and developed by it. A smart system using the sensor network and artificial intelligence was designed to detect fire very rapidly and track the location of a fire. In the very early stages, the system was constructed using vertical open sprinkler pipes, wet pipes, and solenoid valves to allow water to spray near fire locations. Based on the design results, the system was installed and tested, and the full-scale test was successfully completed.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.325-326
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• 2013

최근 들어 스마트폰이 급격하게 보급됨에 따라 스마트폰과 다른 모듈을 이용한 시스템이 많이 개발되고 있다. 현재 보안 카메라는 cctv카메라가 주를 이루고 있는데, 보통 그 정보를 컴퓨터에 받아 저장하거나 휴대폰으로 현재 영상을 확인하는 것이 대부분이다. 우리는 계속 화면을 동영상으로 저장하지 않고 전방에 사물이 인식 되었을 때 스틸 이미지 한 장을 찍어 휴대전화에 무언가가 찍혔다는 알람을 남겨준다. 이는 집안이나 인적이 드문 창고에 설치하면 유용하게 사용될 수 있을 것으로 생각된다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.2
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• pp.341-346
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• 2013

Refrigerated warehouse inventory management program which manages the logistics of shipping&receiving and inventory quickly and accurately is a costly and labor-intensive maintenance because it is operated in the legacy system on a closed client-server environment. There are no services available for consignees who are the consumers of refrigerated warehouses except fax or phone for orders which makes the business process inefficient and creates many problems such as error and inaccuracy. In this paper, we design and implement a mobile framework with a legacy system supporting various services to the consignees for solving problems of outdated legacy systems and no services to use. The system supports promptness and accuracy which give the users improved satisfaction by providing orders and queries of inventory for the consignees on mobile devices.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.66-68
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• 2022

Forklift trucks are frequently used in logistics warehouses and factories to transport large amounts of cargo. Among the recent accidents at industrial sites, the number of accidents caused by forklifts was the highest. Most accidents are caused by being hit or caught by forklifts. Various safety devices are being applied to prevent forklift accidents. This paper analyzes the efficiency of introducing a smart control method to prevent industrial accidents that may occur in the operation of forklifts. The smart control method generates an amount of money for initial introduction, but if subsidies are secured through government-supported projects, the burden on the workplace will be reduced. When a smart control method is introduced, it is possible to prevent collisions between workers and forklifts and accidents of trapped forklifts.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.251-252
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• 2013

With the development of globalization, enterprises have improved the working efficiency and the competitiveness through smart office. Consequently, the enterprise resources planning, sales support, customer relations management and supply chain management with distinctive function of expansion are quite necessary. In view of this, through appropriate use of software, this study creates and implements the application programs of marketing management and inventory management in Smartphone environment.

• Journal of Navigation and Port Research
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• v.47 no.3
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• pp.155-166
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• 2023

Trend analysis and time series analysis were conducted to predict the demand of manpower under the smartization of shipping and port logistics with transportation survey data of Statistic Korea during the period from 2000 to 2020 and Statistical Yearbook data of Korean Seafarers from 2004 to 2021. A linear regression model was adopted since the validity of the model was evaluated as the highest in forecasting manpower demand in the shipping and port logistics industry. As a result of forecasting the demand of manpower in autonomous ship, remote ship management, smart shipping business, smart port, smart warehouse, and port logistics service from 2021 to 2035, the demand for smart shipping and port logistics personnel was predicted to increase to 8,953 in 2023, 20,688 in 2030, and 26,557 in 2035. This study aimed to increase the predictability of manpower demand through objective estimation analysis, which has been rarely conducted in the smart shipping and port logistics industry. Finally, the result of this research may help establish future strategies for human resource development for professionals in smart shipping and port logistics by utilizing the demand forecasting model described in this paper.

• Journal of the Semiconductor & Display Technology
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• v.22 no.3
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• pp.36-40
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• 2023

Recently, in the problem of multi-order processing in logistics warehouses, multi-pickup systems are changing from the form in which workers walk around the warehouse to the form in which goods come to workers. These changes are shortening the time to process multiple orders and increasing production. This study considered the sequence problem of which warehouse the items to be loaded on each truck come first and which items to be loaded first when loading multiple pallet-unit goods on multiple trucks in an industrial smart logistics automation warehouse. To solve this problem efficiently, we use the mutant algorithm, which combines the GA algorithm and ACO algorithm, and compare with original system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.390-392
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• 2018

We occasionally spend a lot of time looking for things after we forget where we store things. In this paper, we design and develop a product management system that keeps things, tells them where they are, and makes them easy to find. When a person puts a thing on the robot and selects the name of the object through the robot control application installed on the smartphone, the user confirms the empty storage place, moves it, stores it,. Through this paper, it is expected that we will be able to easily find the things we manage at home without forgetting, and contribute to the development of unmanned warehouse management technology.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.5
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• pp.48-54
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• 2018

With the 4th industry era, smart factories are emerging. In the era of multi-product small scale production, unmanned transportation vehicles are rapidly increasing in utilization of unmanned transportation vehicles that carry and arrange goods in the work space. The conventional unmanned vehicle detected its position by using the guided line method and the position based method for indoor location recognition and movement. This method has disadvantages of initial high cost and maintenance / maintenance. In this paper, to solve the disadvantages, the method of predicting the direct path of the unmanned vehicle through the Kalman filter is verified using the white LED marker of the warehouse and the position data and the image data of the white LED marker recognition image. Through this, the reliability of the linear movement which occupies the most part in the lattice structure is secured. It is also expected that the reliance on additional position sensors will also be reduced.

• Journal of the Korean Society of Systems Engineering
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• v.11 no.2
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• pp.85-93
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• 2015

Warehouse Management System (WMS) is a key control for Material Handling System (MHS) and Inventory Control System (ICS). How to design and implement for WMS is crucial factor for achieving the key performance index for Manufacturing Industry. In particular, iron and steel making industry, where the volume and weight is large and hence FIFO (First Input First Out) is not working, how to design WMS is a key factor. In this paper, we systematically define the problem of WMS via developing StR (Stakeholders' Requirements) or ORD (Operational Requirement Documents), SyR (System Requirement), and SA (System Architecture) based on the emerging technologies. In particular, IoT (Internet of Things), CPS (Cyber Physical System) concepts and enabling technologies haves been incorporated in developing Smart WMS. The deliverables of the research can provide a conceptual framework for developing the next generation industrial WMS.