• 월간포장계
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• 통권295호
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• pp.71-76
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• 2017

• 월간포장계
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• 통권303호
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• pp.54-59
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• 2018

• 월간포장계
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• 통권186호
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• pp.64-78
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• 2008

• 한국포장학회지
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• 제28권3호
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• pp.183-192
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• 2022

본 연구에서는 패키징 인쇄를 위한 병렬 오프셋 인쇄 공정의 스케줄링 문제를 다루었다. 문제에 대해 두 부분으로 구분하여 접근하였고, 각각 할당 문제와 차량 경로 문제를 적용하여 수리적으로 모형화 하였다. 스케줄링 모형의 현장 적용성은 실험을 통해 검토하였다. 실제 데이터로 구성된 작은 규모의 문제에서는 수리모형으로도 실용적인 시간 내에 최적해를 도출할 수 있었고 이와 비교하여 메타 휴리스틱의 성능을 확인하였다. 기업이 보유한 데이터를 바탕으로 문제 규모를 확장한 실험에서는, 수리모형의 최적해와 비교하여 메타 휴리스틱이 해의 품질을 보장하면서 시간적 효율성을 확보할 수 있었다. 본 연구는 수작업 위주의 기존 방식은 주체(작업자)에 따라 스케줄링의 결과에 불확실성이 존재하는 문제에 주목하였다. 이러한 불확실성은 전체 생산 비용의 증가를 가져오기 때문에 이를 개선할 수 있도록 실용적인 시간 내에 일관된 결과를 제공하는 스케줄링 모형을 제시하였다. 제시한 모형은 단일 라인과 병렬 라인 모두에 적용되어 작업자의 경험에 의존하던 기존의 방식을 개선하는데 도움이 될 것으로 판단되며, 시간 함수의 정의를 통해 다른 요인들을 반영하는 연구로의 확장이 가능하다는 의의를 갖는다. 향후 주문의 납기, 복수의 라인에서 동일 주문 인쇄, 동일하지 않은 라인의 인쇄 용량, 조색 난이도 등을 고려하는 연구로의 확장을 통해 패키징 인쇄 분야의 스마트 생산 시스템 도입에 기여할 수 있을 것으로 기대된다.

• 한국포장학회지
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• 제6권1호
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• pp.19-23
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• 2000

The increasing use of plastics in food packaging materials has led to the issue of food-packaging mutual interactions from residues in the plastics. Plastic films are commonly printed by using solvent-based ink to decorate the packaged food for consumer attention. However, the residual solvents can not be completely removed and they can migrate into the contained food which lead to undesirable off-flavors. Partitioning (Kp) of printing ink solvents was studied in two types of plastic films with different chemical structure and polarity. At $25^{\circ}C$, Kp of toluene is higher than that of isopropanol in PP, but isopropanol showed higher Kp value than toluene in EVOH. This showed that polarity had a significant effect on the partitioning of printing ink solvents into the plastic films. Printing solvents had a higher affinity to the polymer with similar polarity than it did to the different one.

• 월간포장계
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• 통권216호
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• pp.62-67
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• 2011

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권3호
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• pp.894-907
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• 2022

The features extracted by convolutional neural networks are more descriptive of images than traditional features, and their convolutional layers are more suitable for retrieving images than are fully connected layers. The convolutional layer features will consume considerable time and memory if used directly to match an image. Therefore, this paper proposes a feature weighting and region integration method for convolutional layer features to form global feature vectors and subsequently use them for image matching. First, the 3D feature of the last convolutional layer is extracted, and the convolutional feature is subsequently weighted again to highlight the edge information and position information of the image. Next, we integrate several regional eigenvectors that are processed by sliding windows into a global eigenvector. Finally, the initial ranking of the retrieval is obtained by measuring the similarity of the query image and the test image using the cosine distance, and the final mean Average Precision (mAP) is obtained by using the extended query method for rearrangement. We conduct experiments using the Oxford5k and Paris6k datasets and their extended datasets, Paris106k and Oxford105k. These experimental results indicate that the global feature extracted by the new method can better describe an image.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2008년도 International Meeting on Information Display
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• pp.1071-1074
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• 2008

By carefully selecting the structure of dyes, especially the metal complex dyes, and studying the properties of the prototype display. It was found some dyes electrophoresis and display well. The dyes ink with good stability during electrophoresis when the electrode was protected. while the response time is about 300 ms.

• International Journal of Internet, Broadcasting and Communication
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• 제12권4호
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• pp.55-60
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• 2020

This study aims to apply Arduino and 3D printing technology considered as a key subject in the age of 4th industrial revolution which is a step 1 for customizing and applying the process of production by chemical molding companies producing environment-friendly biodegradable packaging materials to the 3D printing teaching in universities. Step 3 is applied to IoT for Arduino application, and 3D printing technology is also used on the basis of teaching creative integrated human resource. Integration of Arduino with 3D printers is based on the assumption that middle- and high-school students can learn it step by step to higher levels and university students majoring or not majoring in computing science can also have computing skills for solving 3D printing-based problems. For IoT application in this study, the 3D printing technology is applied to the external shape of products for producing an Arduino-based lighting fixture. The applied 3D printing technology is further extended to teaching modeling of producing packaging materials by chemical product molding companies in the age of 4th industrial revolution.

• 한국포장학회지
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• 제12권2호
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• pp.91-96
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• 2006

The widespread use of packaging materials on food packages sometimes causes off-flavor and deterioration in the food by migration of packaging materials which consist of mainly plastic materials and printing ink solvents. Even though migration of the residual packaging materials does not generally cause safety problems in the contained food, it certainly can generate off-flavor and finally deteriorate quality of the finished product. In highly consumer-oriented markets, quality of the finished product is gaining more importance economically, so profound and thorough study about migration into food to maintain the fine quality of the end product becomes an importance issue. Studies have been conducted about migration of various packaging materials and the chemical reactions between the food components and the materials used for food packaging (Brody, 1989; Mcneal and Breder, 1987; Lawson, G and Lawson, C, 1996). Several of these studies have measured partition coefficient values (Kp) between packaging materials and various food samples and involved finding factors that affected the partitioning behavior of packaging materials into the contained food. However, to enable prediction of partitioning, data are still needed on the relation of packaging material chemical structure and properties to partitioning behavior, and on the partitioning behavior of various food ingredients and the total food compositions.