• Magazine of RCR
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• v.19 no.3
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• pp.41-45
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• 2024

• Journal of Industrial Technology
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• v.29 no.B
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• pp.95-100
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• 2009

Recently, SID (Sustainable Industrial Development) or green growth is the major concern of industries. EIP (Eco Industrial Park) is one of the important part of SID which aims to improve eco-efficiency of resources such as material, energy and water. In this study, current status of Banwol & Sihwa industrial complex relating EIP was investigated and the plan to design of Banwol & Sihwa EIP was suggested.

• ICROS
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• v.12 no.4
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• pp.61-65
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• 2006

• Journal of the Korean Recycled Construction Resources Institute
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• v.9 no.1
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• pp.85-91
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• 2021

Aggregate waste separator with rotating separating net was designed for applying classification process of construction waste. In order to evaluate the performance of the aggregate waste separator, according to the type of waste, standardized waste samples are prepared using acrylic. The appropriate operating point was evaluated by the classification efficiency and misclassification rate of recycled aggregate according to the control frequency of the blower operating and inlet position of the separating net. The classification efficiency at the operating point of the aggregate waste separator was evaluated through flow analysis assuming recycled aggregate and waste sample as particles. As a result of the performance test, when the distance. between the conveyor belt and the inlet was 0.2m, the classification efficiency was 95%, but the misclassification rate of recycled aggregate was 2% or more, which satisfies the classification efficiency and the misclassification rate of less than 2%. The operating point was shown at a control frequency of 58Hz at a suction distance of 0.254m. As a resu lt of flow analysis, there was no misclassification of recycled aggregate. In order to redu ce constru ction waste in the existing recycled aggregate production process, adsorption system using a rotating separating net that can be operated as an installation type was built.

• Geophysics and Geophysical Exploration
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• v.26 no.3
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• pp.126-137
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• 2023

In this study, a recurrent neural network (RNN) was employed as a methodological approach to classify dolphin click signals derived from ocean monitoring data. To improve the accuracy of click signal classification, the single time series data were transformed into fractional domains using fractional Fourier transform to expand its features. Transformed data were used as input for three RNN models: long short-term memory (LSTM), gated recurrent unit (GRU), and bidirectional LSTM (BiLSTM), which were compared to determine the optimal network for the classification of signals. Because the fractional Fourier transform displayed different characteristics depending on the chosen angle parameter, the optimal angle range for each RNN was first determined. To evaluate network performance, metrics such as accuracy, precision, recall, and F1-score were employed. Numerical experiments demonstrated that all three networks performed well, however, the BiLSTM network outperformed LSTM and GRU in terms of learning results. Furthermore, the BiLSTM network provided lower misclassification than the other networks and was deemed the most practically appliable to field data.

• Journal of Industrial Technology
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• v.29 no.B
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• pp.89-94
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• 2009

The dyeing sludge is the major waste generated in Banwol & Sihwa Industrial Complex. The Purpose of this study is to develop BAT (Best available technique) for the treatment and recycling of dyeing sludge. The dyeing sludge was carbonized and the product was tested physical properties and chemical chracterizations and also analyzed chemical compositions. From the test results we expect that the products can be used as adsorbent for the removal of order in the poultry farm and cattle shed. The feasibility of other methods such as manufature of RDF and cement etc. were also studied.

• Annual Conference of KIPS
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• 2021.11a
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• pp.633-636
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• 2021

4G 에서 5G 로 기술이 발전하며 무선 통신에 필요한 자원이 급격히 증가하고 있다. 증가된 자원을 효율적으로 관리하는 것은 필수적이며 이를 위해 paging cost 감소 연구들이 진행되고 있다. 순환신경망을 응용한 paging cost 감소 연구에서는 연속 예측으로 인해 예측 정확도 감소 문제가 발생한다. 본 논문에서는 강화학습 기반 이동성 예측 기법을 제안하고 기존 순환신경망 응용 기법에서 발생하는 정확도 감소 문제를 극복한다.

• Journal of the Korea Organic Resources Recycling Association
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• v.20 no.2
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• pp.76-88
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• 2012

In this study, the treatment flow of the recyclables(paper, plastic, metal, etc.) collected and separated from MSW was investigated throughout entire phase from separation and collection to final disposal. Based on the site survey, most recyclables came into six material recovery facilities were comparatively managed well. However, some of recyclables showed irrelatively transportation flow. Because the main income source of the recyclables transportation companies is profit margin between treatment and transportation cost based on economics only therefore, it occurs an unnecessary route and long distance transportation while going to final destination. This unreasonable system should be a serious problem relating establishment of the resource recycling system. As a result of this study, in order to establish the reasonably resource recycling system, recycling center including material recovery facility has to manage the recyclables generated in close range preferentially. Also integrated its treatment system over a wide area will need to be considered as a basic step for the reasonable reasonably resource recycling system.

• Journal of the Korean Recycled Construction Resources Institute
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• v.8 no.4
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• pp.545-552
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• 2020

This study evaluated the support performance of fiber-net integrated shotcrete in tunnel support system developed for the purpose of improving constructability and stability while fully performing its mechanical performance as a tunnel support materials by four-point bending test, two-dimensional numerical analysis, and cross-sectional analysis. As a result of evaluating the flexural performance through a four-point bending test, in the case of fiber-net reinforced shotcrete, the tensile performance of fiber-net resulted in a continuous increase in load after crack occurrence, unlike steel fiber reinforced shotcrete. Also, the results of the tunnel cross-sectional structure analysis for ground conditions and the cross-sectional analysis of fiber-net and steel fiber reinforced shotcrete showed that sufficient support performance can be exhibited even if the thickness of fiber-net reinforced shotcrete was reduced compared to the previous one. Additionally, through these results, the support pattern of fiber-net integrated shotcrete in tunnel support system, which can be applied efficiently to the construction sections requiring higher stability among the rock mass class III, was proposed.

• 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.