• Journal of IKEEE
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• v.15 no.2
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• pp.122-128
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• 2011

Although conventional analog linescan cameras are used widely, high-speed, high-resolution Cameralink standard will lead the area of frame grabber industry such as factory automation. In this paper, we are developing embedded frame grabber testbed without PC which will give an another solution to image processing applications. Therefore, we designed hardware schematics and programmed FPGA device with VHDL in order to interface Cameralink standard linescan CCD camera. In the future, our embedded on-chip controller could be applied to various image processing systems such as medical imaging, especially optical coherence tomography, machine vision and industrial electronics.

• The KIPS Transactions:PartB
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• v.9B no.3
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• pp.319-326
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• 2002

In this paper, we have designed and implemented cluttering classification systems- unsupervised classifiers-for the processing of satellite remote sensing images. Implemented systems adopt various design patterns which include a factory pattern and a strategy pattern to support various satellite images'formats and to design compatible systems. The clustering systems consist of sequential clustering, K-Means clustering, ISODATA clustering and Fuzzy C-Means clustering classifiers. The systems are tested by using a Landsat TM satellite image for the classification input. As results, these clustering systems are well designed to extract sample data for the classification of satellite images of which there is no previous knowledge. The systems can be provided with real-time base clustering tools, compatibilities and components' reusabilities as well.

• Journal of Intelligence and Information Systems
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• v.12 no.1
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• pp.33-41
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• 2006

This paper presents a method that automatically recognizes products into model type, which it flows with the conveyor belt. The specific interlaced image are occurred by moving image when we use the NTSC based camera. It is impossible to process interlaced images, so a suitable post-processing is required. For the purpose of this processing, after it remove interlaced images using de-interlacing method, it leads rectangle region of object by thresholding. And then, after rectangle region is separated into several blocks through edge detection, we calculate pixel numbers per each block, re-classify using its average, and classify products into model type. Through experiments, we know that the proposed method represent high classification ratio.

• The Transactions of the Korea Information Processing Society
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• v.5 no.10
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• pp.2737-2749
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• 1998

Recently, vision system is widely used in factory automation processes. In this paper, the method which detects the badness in the position, slop, and the lead of chips is proposed for the inspection of semiconductor chips. The conventional methods mainly inspect semiconductor IC with the features which is extracted in image. But we propose the method which segments the lead part by the morphology and inspects the lead faults by the invariant moment. In the simulation. the results of the proposed method is better than those of the conventional method for the noisy and noiseless images .

• Transactions of the Korean Society of Machine Tool Engineers
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• v.17 no.1
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• pp.1-6
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• 2008

There are some methods that have been used to manage a degasing process in recent years, such as an injection method that uses aluminum molten metal powder and chemicals supplier and input method that supplies argon and nitrogen, or chlorine gas by using a gas blow-tube. However, these methods show some problems, and it shows that it is a difficult process to handle, pollution due to producing a lot of toxic gases like chlorine and fluoride gas, irregular effects, and lowering work efficiency due to the excessive processing time. The problems that are the most fatal are the producing a lot of sludge due to the reaction of aluminum molten metal with chemicals, loss of metals, and decreasing the life of refractory materials. In order to solve these problems, this paper develops a technology that is related to aluminum continuous casting molten metal and monolithic degasing apparatus. A degasing apparatus developed in this study improved the existing methods and prevented environmental pollution with smokeless, odorless, and harmlessness by using a new method that applies argon and nitrogen gas in which the methods used in the West and Japan are eliminated. The method developed in this study decreases the molten metal processing and settling time compared to the existing methods and improves the workers' health, safety, and environment because there is no pollution in processes.

• Journal of Information Processing Systems
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• v.14 no.5
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• pp.1225-1236
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• 2018

Nowadays, the number of pets in the Republic of Korea (ROK) is continuously growing, and people's perception of animals is changing. Accordingly, new systems and services for them are emerging. Despite such changes, there are still many serious problems such as animal cruelty, abandonment, and factory-type breeding places. In this study, we have conducted a research on the design of a humane animal care system and its implementation with Java. The methodology involved in the design will enable managing animals' safety and health by systematically categorizing and studying each health-related issue for protection. Moreover, with this methodology, animals can avert risks through periodic examinations, and the analyzed data will be useful in managing animals efficiently. Thus, this paper proposes a system that monitors whether the owners actually carry out such obligation. Authors expect this convenient, easily accessible system to lead to a more humane approach to the animals they own. The authors plan to establish an animal care network together with local animal associations for the active promotion of the system implemented in this study, in the hope that the network will be extended nationwide.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.38 no.1
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• pp.59-63
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• 2014

Elliptical gears are used in the oval flowmeter and oval flow meter inspects volume of water thanks to space by the elliptical shape. The purpose of this study is to judge accuracy of processing of the elliptical gear and develop inspection system using machine vision. Demand of machine vision is increasing while the factory automation is spreading and principle factor in-process inspection. But, gear inspection using the machine vision rarely used because of complex shape of gear. In this study, it seems possible that elliptical gear is inspected by inspection software using machine vision and inspection program can judge accuracy of processing of the elliptical gear designed this study.

• Industrial Engineering and Management Systems
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• v.14 no.4
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• pp.372-378
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• 2015

In labor-intensive enterprise, such as garment factory, assembly line is widely used as a manufacturing process for reducing costs and production time. However, for the sake of the various working capacity of worker, idle or delay may happen and influence the rear processes. If these unforeseeable delay happened continuously, it may influence the whole manufacturing process and a model, which is called limited-cycle model with multiple periods (LCMwMP), is assumed to evaluate the influence risk. In order to minimize the risk, the assignment of the workers is focused on. In this paper, we deal with an assembly line as LCMwMP model when two kinds of workers exist, whose efficiency is assumed to two different groups. We consider an optimization problem for finding an assignment of workers to the line that minimizes total expected risk, which is exchanged to expected cost by reset model of LCMwMP. First, reset model as a simple model of LCMwMP is introduced. Then, some hypotheses of the rules of the optimal worker assignment are proposed and some numerical experiments are researched assuming the processing time as Erlang distribution. Finally, the other rules on other certain conditions are discussed.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.262-264
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• 2019

최근 사물인터넷 분야에서 스마트 팩토리 부분은 많은 주목을 받고 있으며 관련된 연구도 많이 진행되고 있다. 기존의 스마트 팩토리 플랫폼은 제품 생산 효율성을 높여 비용을 줄이는 것을 목표로 센서로부터의 데이터 수집과 클라우드로의 전송, 대규모 데이터 분석을 통한 의사결정 등 자동화 부분에 집중되어 있다. 본 논문에서는 웹 GUI를 활용하여 응용 개발의 편의성을 높여 개발자가 아닌 공정관리자가 직접 공정을 제어할 수 있도록 했으며 유사 환경이 구축된 다른 공장에서 기존에 만들어진 공정 프로그램을 공유하고 재수정할 수 있는 시스템을 설계하였다. 또한, 프로토타입을 구현하여 제안된 웹 GUI기반 스마트 팩토리 공정 관리 및 공유 시스템의 운용 가능성을 검증하였다.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.88-95
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• 2022

Detecting anomalies in human movement is an important task in industrial applications, such as monitoring industrial disasters or accidents and recognizing unauthorized factory intruders. In this paper, we propose an abnormal worker movement detection system based on data stream processing and hierarchical clustering. In the proposed system, Apache Spark is used for streaming the location data of people. A hierarchical clustering-based anomalous trajectory detection algorithm is designed for detecting anomalies in human movement. The algorithm is integrated into Apache Spark for detecting anomalies from location data. Specifically, the location information is streamed to Apache Spark using the message queuing telemetry transport protocol. Then, Apache Spark processes and stores location data in a data frame. When there is a request from a client, the processed data in the data frame is taken and put into the proposed algorithm for detecting anomalies. A real mobility trace of people is used to evaluate the proposed system. The obtained results show that the system has high performance and can be used for a wide range of industrial applications.