• Transactions of the Korean Society of Mechanical Engineers
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• v.14 no.1
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• pp.54-71
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• 1990

The fabrication of ceramic machine components by injection molding(CIM : Ceramic Injection Molding) is critically dependent on the shaping and binder extraction techniques. Injection molding is of keen interest to ceramic industries because CIM is suitable for making an intricate shape and manufacturing cost is lower than other process when production scale is large. The success of the molding process is dependent on the correct formulation of the organic vehicle and the achievement of optimum filler loading. Fine alumina powders and polyethylene binder systems were employed to prepare moldable blend then produce a simple specimen by compression molding. Flow characteristics of the mixture was evaluated by viscosity measurement. Optimum binder system and ceramic volume loading for injection molding were determind. A good debinding technique was utilized to improve the quality of debinded parts and save the debinding time. The simple ceramic part was successfully sintered after debinding and its microstructure examined with SEM revealed good consolidation.

• Korean Journal of Organic Agriculture
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• v.6 no.2
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• pp.127-140
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• 1998

Organic farming excludes any use of the herbicide. The present paper reviews what can be done for effective weed control with existing weed control technology by farmers crop-ping paddy rice, field crops, vegetables, and fruit trees. If condition of the crop-land-al-lows diversified rotational use of the paddy land as paddy and upland field would minimize weed problem. Practising this is limited in acreage due to extremely limited governmental investment to the land for the purpose. Secondly, rotation of crops in the upland field breaking life cycles of various weeds adapted to each crop should reduce the weed problem. This is also limited as only a few crops are making the farmer profitable. In addition climate and tolerance of crops to high and low temperature. Monsoon rains and poor drainage restrict the freedom of choice. For any crop land year-round multiple cropping in denser planting shall lessen the weed problem, this multiple cropping practiced by 1960s has been abandoned due to laborshortage and increased production cost. Deep flooding the rice is impractical at present in Korean. Mulching crop with transparent, black , or combinated polyethylene sheet, hs been in-creasingly used. Progresses in development and use of mulch with allelopathic crop residues. inexpensive paper mulch, allelopathic crop residues, inexpensive paper mulch, allelopathic crop cultivar development, recently developed ex-perimental weeding machinaries, flamers, microbial herbicides, biological control organisms, soil sterilization techniques have been critically reviewed for their adoption into existing in-tegrated weeding system. Unfortunately, information on cost-benifit, and labor-benefit, for the various methods above mentioned are lacking. Urgent need for the research on rational weeding in organic farming, and herbicide low-input farming is emphasized.

• Food Science and Preservation
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• v.15 no.6
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• pp.824-831
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• 2008

This study was conducted to determine the influence of heating and carbonic maceration (CM) pre-treatments prior to alcohol fermentation on wine quality from the main Korean grape variety, Campbell Early. Wine fermented with CM treatment had lower total acidity than control and heated wines. Wine fermented with heat treatment contained higher concentrations of anthocyanin and tannin than control wines, while CM-treated wine had the lowest concentrations. The red coloration of the wine was highly correlated with the polyphenol content, as a high content of anthocyanin and tannin resulted in increased red color intensity. The significant differences found in wine quality as a consequence of the use of pre-treatment techniques (heating and CM treatments) suggest their potential application in wine making.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.19-24
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• 2020

Artificial intelligence technology, which is the core of the 4th industrial revolution, is making intelligent judgments through deep learning techniques and machine learning that it is impossible to predict if it is applied to stock prediction beyond human capabilities. In US fund management companies, artificial intelligence is replacing the role of stock market analyst, and research in this field is actively underway. In this study, we use BLSTM to reduce errors that occur in unidirectional prediction of the existing LSTM method, reduce errors in predictions by predicting in both directions, and macroscopic indicators that affect stock prices, namely, economic growth rate, economic indicators, interest rate, analyze the trade balance, exchange rate, and volume of currency. To help stock investment by accurately predicting the target price of stocks by analyzing the PBR, BPS, and ROE of individual stocks after analyzing macro-indicators, and by analyzing the purchase and sale quantities of foreigners, institutions, pension funds, etc., which have the most influence on stock prices.

• Korean Institute of Interior Design Journal
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• v.13 no.3
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• pp.179-186
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• 2004

The findings of this study indicate that intangible cultural properties are worth preservation and transmission and should be considered as very important as tangible cultural properties. If the studies of intangible cultural properties are continued focusing on their characteristics and formational system, they can be expressed more properly by adding new interactive elements to database and expressive requisites. New techniques introduced in this study are believed to provide people with most reasonable and developmental motives for expression of the existing intangible cultural properties. Concerning Korea's cultural properties centered on intangible cultural properties, information construction should be made with a new idea of information based on database from the previous studies. The result will be able to set an important factor to give wide publicity to our cultural identity, which is currently shown in the process of background communication, and serve as a foothold to deliver exact information to our descendants. The intangible cultural properties are our people's mental cultural heritage resources. If museums or initiator groups, which are organized to spread cultural heritages, can use them as the subjects of exhibition through information construction and visualization, it will function to maximize the educational effect of transmitting our national mental world. The development of digital environment will provide the optimum conditions and tools making it possible to visualize intangible forms and ideas in a virtual cyber space. Given these viewpoints, steady studies and efforts for the improvement of Korea's cultural image should be made in the way of intangible cultural properties as well as tangible ones. They start from the country's accurate appreciation of cultural properties and are embodied in systematic adjustment and relationship between interdependent elements.

• Journal of KIISE:Software and Applications
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• v.36 no.11
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• pp.875-890
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• 2009

Metabolimics interprets an organism as a network of functional units and an organism is represented by a metabolic pathway i.e., well-displayed graph. So a software tool for drawing pathway is necessary to understand it comprehensively. These tools have a problem that edge-crossings exponentially increase as the number of nodes grows. To apply automatic graph layout techniques to the genome-scale metabolic flow, it is very important to reduce unnecessary edge-crossing on a metabolic pathway layout. In this paper, we design and implement 2.5D metabolic pathway layout modules. Metabolic pathways are represented hierarchically by making use of the '2-layered layout algorithm' in 3D. It enhances the readability and reduces unnecessary edge-crossings by using 3D layout modules instead of 2D layout algorithms.

• Journal of Information Technology Services
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• v.19 no.1
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• pp.103-112
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• 2020

Job seekers are making various efforts to find a good company and companies attempt to recruit good people. Job search activities through self-introduction essay are nowadays one of the most active processes. Companies spend time and cost to reviewing all of the numerous self-introduction essays of job seekers. Job seekers are also worried about the possibility of acceptance of their self-introduction essays by companies. This research builds a classification model and conducted an experiments to classify self-introduction essays into pass or fail using deep learning and decision tree techniques. Real world data were classified using stratified sampling to alleviate the data imbalance problem between passed self-introduction essays and failed essays. Documents were embedded using Doc2Vec method developed from existing Word2Vec, and they were classified using logistic regression analysis. The decision tree model was chosen as a benchmark model, and K-fold cross-validation was conducted for the performance evaluation. As a result of several experiments, the area under curve (AUC) value of PV-DM results better than that of other models of Doc2Vec, i.e., PV-DBOW and Concatenate. Furthmore PV-DM classifies passed essays as well as failed essays, while PV_DBOW can not classify passed essays even though it classifies well failed essays. In addition, the classification performance of the logistic regression model embedded using the PV-DM model is better than the decision tree-based classification model. The implication of the experimental results is that company can reduce the cost of recruiting good d job seekers. In addition, our suggested model can help job candidates for pre-evaluating their self-introduction essays.

• Journal of KIISE:Software and Applications
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• v.31 no.6
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• pp.750-759
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• 2004

The software of the nuclear power plant digital control system is a safety-critical system where many techniques must be applied to it in order to preserve safety in the whole system. Formal specifications especially allow the system to be clearly and completely specified in the early requirements specification phase therefore making it a trusted method for increasing safety. In this paper, we discuss the NuSCR, which is a qualified formal specification method for specifying nuclear power plant digital control system software requirements. To investigate the application of NuSCR, we introduce the experience of using NuSCR in formally specifying the plant protection system's software requirements, which is presently being developed at KNICS. Case study that shows that the formal specification approach NuSCR is very much qualified and specialized for the nuclear domain is also shown.

• The Journal of the Korea Contents Association
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• v.14 no.1
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• pp.56-65
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• 2014

Most of experimental films have different visual techniques and aesthetic values compared to those of narrative films. This difference makes it difficult to understand experimental films. In order to understand in what ways the experimental film has broken with the convention of narrative film, it is important to examine certain structure of experimental film. The important aspect of many experimental films is the way that they have altered the nature of narrative by changing the way that we perceive the succession of image. In particular, The tradition of American Sturcture film has been the contribution of the experimental film to expand the limits of this rule system and evolve a more personal and organic approach to the continuum of film. This approach has been a method of understanding experimental films and still a useful aesthetic tools both reading personal films and making innovative works.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.7
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• pp.111-118
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• 2012

Recently, most of firms have continuously released new products satisfying various needs of customers in order to increase market share. As a lot of products with various functionalities, prices and designs are released in the market, users have difficulties in choosing an appropriate product, especially for information technology driven devices. In case of digital cameras, inexperienced users spend a lot of time and efforts to find proper model for them. In this study, therefore, we design and implement a personalized recommendation system using analytic hierarchy process, one of the multi-criteria decision making techniques, and hybrid filtering combining content-based filtering and collaborative filtering to recommend a suitable product for inexperienced users of information technology devices.