• Resources Recycling
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• v.21 no.5
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• pp.72-78
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• 2012

In general, recyclable items are separately discharged from households and then, hand-sorted into different types of valuables at materials recovery facilities (MRF). However, most of residues after hand-sorting are finally end up with landfill and/or incineration due to lack of separation technologies and economical reasons. In the present study, physical properties on recyclable items obtained from an MRF are investigated to improve the recovery of valuable items. The results of physical compositions based on the sizing tests are also presented.

• Proceedings of the KSEEG Conference
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• 2007.04a
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• pp.361-363
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• 2007

• Magazine of RCR
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• v.18 no.3
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• pp.18-23
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• 2023

• Journal of Internet of Things and Convergence
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• v.9 no.4
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• pp.9-14
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• 2023

Recently, resource optimization research has been actively conducted in enterprises and data centers to manage the rapid growth of big data. In particular, thin provisioning, which allocates a large number of resources compared to fixedly allocated storage resources, has the effect of reducing initial costs, but as the number of resources actually used increases, the cost effectiveness decreases and the management cost for allocating resources increases. In this paper, we propose a technique that divides the physical blocks of flash memory into single-bit cells and multi-bit cells, formats them with a hybrid technique, and manages them by dividing frequently used hot data and infrequently used cold data. The proposed technique has the advantage that the physical and allocated resources are the same, such as thick provisioning, and can be used without additional cost increase, and the underutilized resources can be managed in multi-bit cell blocks, such as thin provisioning, which can allocate more resources than typical storage devices. Finally, we estimated the resource optimization effectiveness of the proposed technique through experiments based on simulations.

• Resources Recycling
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• v.32 no.2
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• pp.3-11
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• 2023

The aim of this study was to develop a physical treatment method for obtaining iron concentrate with a grade higher than 60% from slag generated in the Waelz Kiln (WK) process. The size of the WK slag used in this work was several millimeters, with T-Fe and ZnO contents of 40.24% and 1.03%, respectively. The slag samples were pulverized in a laboratory rod mill for various grinding times, followed by a magnetic separation test under a low magnetic intensity of 0.05 T initially. The results showed that the highest iron grade was obtained from samples with a grinding time of 10 min. Additionally, for a grinding time of 20 min, the highest grade and recovery ratios were achieved at a magnetic intensity of 0.8 T. Based on these findings, the optimal physical treatment process proposed in this study resulted in iron concentrates with a grade of 61.34% and an enrichment ratio of 1.52.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2003.10b
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• pp.29-32
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• 2003

• Proceedings of the KSEEG Conference
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• 2007.04a
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• pp.221-223
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• 2007

• Proceedings of the Plant Resources Society of Korea Conference
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• 2003.04a
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• pp.109-112
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• 2003

• Geophysics and Geophysical Exploration
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• v.22 no.1
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• pp.29-36
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• 2019

Regional airborne magnetic survey is very cost-effective mapping tool. Magnetic anomaly maps have abundant information, which are an important tool for understanding the geological evolution and mineral exploration. For this reason, the governments of many countries have made significant investment in the acquisition of airborne geophysical data over many decades. KIGAM (Korea Institute of Geoscience and Mineral Resources) began nationwide airborne magnetic mapping programme in 1982, and completed in 2017. The obtained magnetic data was reprocessed and magnetic database was built in 2018. In addition, the magnetic anomaly map of Korea with a scale of 1:1,000,000 was published. In this paper, we introduced a new magnetic anomaly map of Korea through describing the changing survey parameters during data acquisitions and history of data processing.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.457-460
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• 2014

클라우드 컴퓨팅은 IT 자원의 효율적인 관리와 비용 대비 양질의 서비스 제공을 위한 새로운 패러다임으로써, 국내외의 기업뿐만 아니라 많은 사용자들에게 주목 받고 있다. 하지만 관련 시장의 빠른 성장과 함께 다양한 사이버 범죄에 노출될 수 있는 위험이 높아졌음에도 불구하고, 클라우드 컴퓨팅에 대한 디지털 포렌식은 실질적인 역할을 수행하기에 아직 미비한 실정이다. 클라우드 컴퓨팅은 증거 데이터가 물리적으로 분산되어 있고, 자원이 가상공간에 존재할 수 있기 때문에 기존의 디지털 포렌식 수사와는 다르게 접근해야 한다. 이에, 본 논문에서는 추상화된 클라우드 계층에 따른 기존 포렌식 절차 상의 데이터 수집 방법에 관한 한계를 분석하고, 확보한 증거 데이터의 신뢰성 보장 및 다양한 클라우드 환경에 보다 유연하게 적용할 수 있는 디지털 증거 수집 절차를 제안한다. 해당 절차는 클라우드 구성 요소들 중 물리적인 자원들을 가상화하여 논리적으로 구성할 수 있도록 하며, 가상화된 자원들을 서비스 목적에 따라 폭넓게 활용할 수 있도록 관리 체계를 제공해주는 클라우드 플랫폼을 기반으로 한다.