• Journal of Appropriate Technology
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• v.6 no.2
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• pp.136-145
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• 2020

Agriculture is the backbone of the economy of most developing countries. In these countries, agriculture or farming is mostly done manually with little integration of machinery, intelligent systems and data monitoring. Irrigation is an essential process that directly influences crop production. The fluctuating amount of rainfall per year has led to the adoption of irrigation systems in most farms. The absence of smart sensors, monitoring methods and control, has led to low harvests and draining water sources. In this research paper, we introduce a 433 MHz Radio Frequency and 2G based Smart Irrigation Meter System and a water prepayment system for rural areas of Tanzania with no reliable internet coverage. Specifically, Ngurudoto area in Arusha region where it will be used as a case study for data collection. The proposed system is hybrid, comprising of both weather data (evapotranspiration) and soil moisture data. The architecture of the system has on-site weather measurement controllers, soil moisture sensors buried on the ground, water flow sensors, a solenoid valve, and a prepayment system. To achieve high precision in linear and nonlinear regression and to improve classification and prediction, this work cascades a Dynamic Regression Algorithm and Naïve Bayes algorithm.

• Journal of IKEEE
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• v.22 no.2
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• pp.289-301
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• 2018

IIoT, the IoT technology applied to the industrial field, is being used as a monitoring technology for increasing in production rate and safety of workers. However, monitoring through the construction of IIoT network using Ethernet and RS485 in production lines where dozens to hundreds of machine tools are manufacturing components, have difficulties of infrastructure cost and network flexibility and fluidity. Therefore, in this paper, using IEEE 802.15.4 standard WSN device to construct a Ad-Hoc WSN in the production line. In addition, the transmission period and order of the sensor nodes are set by applying the EtherCAT communication method in which the payload frames are shared by all the sensor nodes. From this, we have overcome the problem of reliability decline and real-time issue due to the packet collision of wireless network and confirmed that it is a wireless network routing method that can be used in the actual industrial field.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1998.10a
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• pp.259-262
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• 1998

DNC(Distributed Numerical controller)는 제품을 생산하기 위해 현장용 컴퓨터를 이용하여 공작기계 및 주변장치를 제어하고 감시한다. 본 논문에서는 SFC/OP(Shop Floor Control/point of Production) 시스템과 연계시키기 위한 DNC 시스템의 구조를 제시한다. 본 시스템은 도면 정보를 유기적으로 연결하여 작업절차서를 조회하고, 작업절차서 및 NC 프로그램/공구 보정 데이타를 인덱스 데이터베이스화하고, 소재·지그·공구를 연계한다. 또한 생산정보를 빠르고 능동적으로 현장 작업자에게 전달하고, 기계의 상태정보를 기계로부터 직접 수집함으로써 실시간 모니터링이 가능하다. 분석 및 설계단계에서는 실시간으로 발생하는 이벤트를 처리하기 위해 상태전이도(State Transition Diagram)를 사용한다. 서버 DBMS(Database Management System)로 관계형 데이터베이스를 채택한 Oracle을 사용하였고, 프로그램 개발도구로는 Developer 2000, Microsoft Visual C++ 5.0을 사용하여 구현한다.

• Korean Journal of Construction Engineering and Management
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• v.21 no.2
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• pp.88-97
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• 2020

Practical and efficient application of lean construction, which has been proposed as an alternative to the limitations of traditional construction management methods, was developed to facilitate application on site and improve productivity through the fusion of traditional construction management methods. The concepts of Lean Time and Lean Cycle Time, which are the principles of lean construction, were introduced to eliminate waste and smooth flow production and pursuit of perfection, and the goal of establishing and improving the criteria for measurement and improvement was established and the information collection template was configured and applied to ensure reliability of measurement and analysis. Based on this, the project feasibility, reliability, and continuous improvement process were applied to the Field case to verify its effectiveness.

• Journal of the Korea Convergence Society
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• v.8 no.8
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• pp.89-94
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• 2017

This paper implements a web - based production monitoring system that can be used efficiently by small - scale manufacturers. Small-scale enterprises, especially small-sized enterprises with less than 5 employees, need an efficient production management system because productivity is important. However, in reality, the manager and the worker verbally report work orders and production, and when one of the members is absent, the delay in the work process increases. If the time required for the work process increases, the productivity will be affected and the sales of the enterprise will be affected. In this paper, we have designed and implemented a web - based production monitoring system that can be used efficiently by small - sized manufacturers with less than 5 employees. We implemented a web based browser to operate with only a browser and applied the UI for convenience of the field worker. The proposed system is applied to less than 5 automobile parts manufacturers and the system effectiveness is confirmed. The system can be economically applied to more small enterprises with only a few modifications according to the products of each company.

• The Korean Journal of Applied Statistics
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• v.30 no.3
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• pp.487-501
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• 2017

A machine vision system (MVS) is a computer system that utilizes one or more image-capturing devices to provide image data for analysis and interpretation. Recently there have been a number of industrial- and medical-device applications where control charts have been proposed for use with image data. The use of image-based control charting is somewhat different from traditional control charting applications, and these differences can be attributed to several factors, such as the type of data monitored and how the control charts are applied. In this paper, we investigate the adjustment effect of image size and region of interest (ROI) size, when we use control charts to monitor grayscale image data in industry.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06d
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• pp.307-312
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• 2008

최근 전기 전력 도메인의 IT화 (전력 IT) 가 본격적으로 진행되면서 전기 데이터를 취득하기 위한 기기들 뿐만 아니라 전력 운영 환경이 변화를 도모하고 있다 본 논문에서는 이런 전력 IT 의 일환으로 개발된 지능형 전력 정보 모니터링 시스템 (K-WAMS)을 소개하고자 한다. 이 시스템은 이기종 분산 환경에서 전력 정보를 실시간으로 전송 받아 현재 전력계통의 상황을 직관적으로 판단할 수 있는 정보를 제공하여 광역 정전을 예방하고자 하는 조기경보시스템 (Early Warning System) 이다. 또한, 전력계통의 안정성 여부를 판단하는 지능형 에이전트의 구현을 통해 광역 정전을 예견하는 지수를 제공하고, 실시간 데이터 처리 및 이력 데이터 저장 에이전트들을 통해 현재 취득되고 있는 현장 데이터 모니터링 기능을 제공한다. K-WAMS 는 실시간으로 전송 처리되는 고속 대용량 데이터들의 처리 지연, 동적 환경으로 인한 네트워크의 부하문제를 해결하기 위해서 IPC Shared Memory 기법을 이용하였고, 동적 프로세스들의 작업 스케줄링을 관리하기 위한 IPC Message Queue 기법을 이용하였다. 또한 논리적 기능 기반으로 설계된 현재 중앙 급전소(GCC) 단위의 설계 모델은 향후 지역 급전소(RCC) 단위로 설치 될 경우 재사용 되어 개발 생산성을 향상시킬 것으로 예상된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.12
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• pp.3863-3869
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• 2009

In recent years, globalization of markets and increased consumer sophistication in automotive industry have led to an increase in the variety of products and a consequent increase in the number of variants of any given product line that a manufacturer must supply. Also, the modularity trend of automotive production systems greatly affects on the production systems of automotive parts suppliers. These typically requires the implementation of cost efficient, flexible production systems, so called mixed-model assembly lines. We studied the problems of mixed-model assembly and assembly error-preventing techniques, and developed the error-preventing monitoring system using RFID in the mixed-model automotive parts assembly line. Especially, this study aimed to solve the problems and supplement the existing systems for preventing assembly errors, by developing a monitoring system using RFID to minimize the issues currently occurring in the field of automotive parts assembly, such as losses from incorrect installation and omission.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.5
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• pp.1589-1597
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• 2014

For several decades, economic growth has achieved in the aspect of productivity and effectiveness not environmental friendly. As a result, global warming is a major agenda to solve. Therefore, global effort to sustainable development has been adopted like UNFCCC and Kyoto protocol that aimed to reduce greenhouse gas. However, the construction industry has only focused on applying techniques for using less energy sources not monitoring sustainable construction and development. Therefore, this study developed a tool for monitoring greenhouse gas emissions in construction industry. The proposed system evaluates and estimates BAU (Business as usual) for each phase of a construction project. For this purpose, analyzed the greenhouse gas emission factors coincide to life cycle of a construction project. The scope of monitoring is determined according to data availability and emission factor. Then, the system framework is developed and the calculation logic is proposed the system features provide comparison between the emission estimates for eco-friendly design and the actual emission of construction and operation phases. The system would be utilized as a tool for supporting to green construction realization and green construction performance evaluation.

• Journal of Bio-Environment Control
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• v.31 no.3
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• pp.237-245
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• 2022

Peach is a typical summer fruit which can be used for various food, processed food, and fragrance ingredients in Korea. Peach is also known as one of serious allergens which make difficulty for farm workers during peach sorting operations. After peach harvesting, it moves to the sorting operations for removing cover material, removing fuzz on peach surface, sorting by size, and packing. The air-samplers and optical particle counters were used to analyze the characteristics of fine dust generation by location and operation characteristics in the experimental peach farms. During removing peach fuzz, the dust concentrations were increased by 6.89 times on total suspended particulate (TSP), 2.13 times on PM-10 (particulate matter), and 1.30 times on PM-2.5 compared to non-working periods, respectively. During removing peach covering materials, the dust concentrations were increased by 3.14 times on TSP, 1.91 times on PM-10, and 1.43 times on PM-2.5 compared to non-working periods, respectively. This represents peach fuzz can be affected to farm workers during peach sorting operations.