• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.28 no.12
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• pp.771-775
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• 2015

In this paper, we designed and fabricated low cost imprinting process for micro patterning on FCCL (flexible copper clad laminate). Compared to conventional imprinting process, developed fabrication method processing imprint and UV photolithography step simultaneously and it does not require resin etch process and it can also reduce the fabrication cost and processing time. Based on proposed method, patterns with $10{\mu}m$ linewidth are fabricated on $180mm{\times}180mm$ FCCL. Compared to conventional methods using LDI (laser direct imaging) equipment that showed minimum line with $10{\sim}20{\mu}m$, proposed method shows comparable pattern resolution with very competitive price and shorter processing time. In terms of mass production, it can be applied to fabrication of large-area low cost applications including FPCB.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.67 no.4
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• pp.183-190
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• 2018

Predicting accurate electricity prices is an important task in the electricity trading market. To address the electricity price forecasting problem, various approaches have been proposed so far and it is known that linear regression-based approaches are the best. However, the use of such linear regression-based methods is limited due to low accuracy and performance. In traditional linear regression methods, it is not practical to find a nonlinear regression model that explains the training data well. If the training data is complex (i.e., small-sized individual data and large-sized features), it is difficult to find the polynomial function with n terms as the model that fits to the training data. On the other hand, as a linear regression model approximating a nonlinear regression model is used, the accuracy of the model drops considerably because it does not accurately reflect the characteristics of the training data. To cope with this problem, we propose a new electricity price forecasting method that divides the entire dataset to multiple split datasets and find the best linear regression models, each of which is the optimal model in each dataset. Meanwhile, to improve the performance of the proposed method, we modify the proposed localized linear regression method in the map and reduce way that is a framework for parallel processing data stored in a Hadoop distributed file system. Our experimental results show that the proposed model outperforms the existing linear regression model. Specifically, the accuracy of the proposed method is improved by 45% and the performance is faster 5 times than the existing linear regression-based model.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.10
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• pp.427-436
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• 2022

Korea Trade-Investment Promotion Agency (KOTRA) annually publishes the trade data in South Korea under the guidance of the Ministry of Trade, Industry and Energy in South Korea. The trade data usually contains Gross domestic product (GDP), a custom tariff, business score, and the price of export items in previous and this year, with regards to the trading items and the countries. However, it is challenging to figure out the meaningful insight so as to predict the future price on trading items every year due to the significantly large amount of data accumulated over the several years under the limited human/computing resources. Within this context, this paper proposes a multi layer perception that can predict the future price of potential trading items in the next year by training large amounts of past year's data with a low computational and human cost.

• Journal of the Korean Society of Food Science and Nutrition
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• v.33 no.10
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• pp.1676-1684
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• 2004

Gel properties of recovered protein from mackerel, frozen blackspotted croaker, chicken breast and pork leg using acidic and alkaline processing were evaluated. Myofibrillar protein from mackerel by acidic processing did not form a heat-induced gel. However, the recovered protein including sarcoplasmic protein formed heatinduced gel. Breaking force of gel from mackerel processed at pH 10.5 was the lowest. A deformation value of frozen blackspotted croaker was the highest, followed by chicken breast, pork leg and mackerel. Whiteness of frozen blackspotted croaker was the highest among heat-induced gel. Breaking force, deformation and whiteness were decreased by addition of recovered protein from mackerel, but price was increased. A breaking force and whiteness of heat-induced gel added recovered protein from chicken breast were increased, and the price was greatly decreased. When the constraint of breaking force, deformation and price of raw material were set up above 110 g, 4.5 mm and below 2,000 won/kg. A optimum formulation for blending protein was 36∼50% for frozen blackspotted croaker, 34∼40% for chicken breast, 14∼25% for pork leg. The heat-induced gel of recovered protein from frozen blackspotted croaker showed compact structure compared to that of recovered protein from mackerel. A formulation of chicken breast and pork leg based on blackspotted croaker can be used in surimi based seafood products having various texture.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5163-5168
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• 2012

The aim of this study is to develop the supply-demand model(dynamic recursive simulation model) on the Hallabong tangor. In order to analyze the effects of alternative policy scenarios on the Hallabong tangor sector. Simulation runs were experimented for the period, 2011~2021, with three different scenarios. The major simulation results are as follows. The results of baseline show that in the year, 2021, acreage, production, price received by farm would be 2,051.5ha, 62,049.1 ton, 2,537.4 won per kg respectively. The results of scenario I (shipping control scenario) show that in the year, 2021, acreage, production, price received by farm would be 2,079.4ha, 62,984.9 ton, 2,836.3 won per kg respectively. The results of scenario II(the rate of economic growth 3.5%) show that in the year, 2021, acreage, production, price received by farm would be 2,039.5ha, 61,647.5 ton, 2,417.3 won per kg respectively. Finally, The results of scenario III(Survey of experts) show that in the year, 2021, acreage, production, price received by farm would be 2,053.7ha, 62,124.4 ton, 2,574.8 won per kg respectively. Therefore, economic recession can be a negative role in the industrial growth and price of Halabong tangor, but expansion of Hallabong tagor's export and processing can be a very positive role in the industrial growth and price of Halabong tangor.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2004.10a
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• pp.480-484
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• 2004

Despite is product that existent higher hrust engine, ship, vehicles, development equipment and Metal Bearing for plant equipment Cast White Metal Lining Bearing that is Bimetal Bearing standing 2 generation is accomplishing master and servant and this is foreseen to be used widely on industry whole in hereafter but Cast White Metal Bearing need minuteness processing, price competitive power is depending on income from superior another thing area than itself manufacture already in advanced nation to lowdown that the technique is generalized widely.

• Proceedings of the Korea Association of Crystal Growth Conference
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• 1996.06a
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• pp.88-138
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• 1996

Electronics grew up to the largest industry in the world supported by Si wafer. In near future, the Si wafer may use 300mm in diameter for economic requirement. This size wafer may use to produce large logic chip, 256Mbit DRAM, and other large complex and high density chip. Then, the quality including flatness and crustal characters may be required very high performance. And, their price should be reasonable and high quantity may be required. These requirements should be solve lot of hard problems of crystal growth, wafering mechanical processing and their cost problems. In this presentation, I may discuss following items.

• Journal of Information Processing Systems
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• v.13 no.5
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• pp.1277-1298
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• 2017

Related to the maximum vector problem, a skyline query is to discover dominating tuples from a set of tuples, where each defines an object (such as a hotel) in several dimensions (such as the price and the distance to the beach). A tuple, an instance of an object, dominates another tuple if it is equally good or better in all dimensions and better in at least one dimension. Traditionally, skyline queries are defined upon single-instance data or upon objects each of which is associated with an instance. However, in some cases, an object is not associated with a single instance but rather by multiple instances. For example, on a review website, many users assign scores to a product or a service, and a user's score is an instance of the object representing the product or the service. Such data is an example of multi-instance data. Unlike most (if not all) others considering the traditional setting, we consider skyline queries defined upon multi-instance data. We define the dominance calculation and propose an algorithm to reduce its computational cost. We use synthetic and real data to evaluate the proposed methods, and the results demonstrate their utility.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.574-575
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• 2021

Re-manufacturing is the process of recovering the function and performance of the original product through a re-assembly process such as a new product assembly process after reprocessing by recovering used products or parts that are in the disposal stage at the end of their lifespan. One of the manufacturing methods. The remanufacturing industry is important not only in terms of environmental protection, but also in terms of economics. The success or failure of the industry as a whole depends on trust in products and price competitiveness. Image processing systems are used to reduce labor costs and improve product reliability in the product manufacturing process. In this study, foreign substances and defects that are difficult to identify with the human eye are detected by using the pre-processing step of determining whether to recycle the drum and image processing immediately before shipment after regenerating the drum to regenerate the waste drum.

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.253-253
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• 2017

Recently, strong interest in the well-being and healthy food trends lead a spreading of rice processing products such as rice noodles, rice breads, and rice cakes. However, most of rice varieties developed in Korea showed very limited processing properties in processing of noodles compare to that of wheat flour. Moreover, low competitiveness as a raw processing materials due to high price give poor evaluations for rice noodles processing. To cope those barriers, 'Saemimyeon' a Tongil type high yielding variety with a high amylose contents was developed in RDA. 'Saemimyeon' showed about 10~32 % of increase in yield as 7.08MT/ha and 26.7% of high amylose contents together with easy grinding property of 65.7% of high chalkiness ratio. The both of milled as well as brown rice of 'Saemimyeon' were well fit for processing properties in rice pasta where the contents of rice flour for rice pasta was 99% (1% of Tapioka starch was intermixed in to the rice flour). A spaghetti type for wet noodles and macaroni type for dry noodles were developed, respectively. Each of pasta were showed relatively more or less an equal quality and panel test compare to that of durum wheat pasta products. Finally, rice pasta products could suggest an alternative idea for a new rice processing items where rice noodles market was stagnant.