• Vending industry
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• v.1 no.3 s.3
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• pp.81-83
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• 2001

캔압축기 분야는 자판기산업에 있어 엄연한 유관분야로 한자리를 차지하고 있다. 자판기를 통해 캔음료가 유통시 그 최종단계에서는 반드시 빈캔이라는 부산물이 발생하기 마련이다. 따라서 이를 유기적으로 수거해 환경과 재활용 정책에 일조 할 수 있는 캔압축기는 비록 필수적이지는 않더라도 산업계 필요성이 큰 분야라 할수 있다. 하지만 현재 자판기 옆에서 캔압축기를 찾아보기가 쉽지 않듯 캔압축기 업체들의 사업활동도 미미하기 그지없는 게 현실이다. 그저 있어도 없는 듯, 없어도 있는 듯 한 존재로서 산업의 가느다란 연결고리를 잡고 있는 현실에서 캔압축기 업체들이 느끼는 고충이 적지 않다. 아무리 좋은 성능의 제품을 만들고, 환경산업에 일조 한다는 자부심을 위안 삼는다 해도 기대에 못 미치는 사업성과에 업체들은 언제까지 앞날만을 기약하고 있기 힘든 상황이다. 이 같은 현실에 있어 캔압축기를 생산하는 업체들의 모임인 '한국폐캔회수장비생산자협의회'가 정부를 대상으로 적극적인 재활용 산업 활성화 지원 정책을 호소하고 나섰다. 정부의 적극적인 지원 없이는 캔압축기 산업분야가 고사상태에 빠질지도 모른다는 위기의식이 이번 건의의 배경이다. 본란에서는 이 같은 한국페캔회수장비생산자협의회의 정부 건의 내용을 중심으로 오늘의 캔압축기 업체들이 처한 현실을 살펴보고 향후 재활용 산업이 나아갈 방향을 모색해 보는 시간을 마련했다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.6
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• pp.980-985
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• 2002

In this paper, we analyzed satellite image with a high resolution compression performance. We need much time in a fast processing on vast satellite image pixel data. On compressing and decompressing, we should keep the information about road, building, forest, etc. In conclusion, we did analyze and compare the performance of compression and decompression for JPEG and WSQ(wavelet scalar quantization) method. As a result, we knew that WSQ was more efficient than JPEG.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.382-384
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• 2004

최근 가파른 증가세를 보이며 그 기법 또한 다양해지고 있는 공격에 대한 사후처리와 동일 침입 방지를 위해, 네트워크 포렌직에 대한 관심이 커지고 있다. 포렌직을 위해서는 정보의 손실 없는 네트워크 트래픽을 수집하여 보존하는 것이 필요하지만, 그 양이 막대하며, 이는 더 큰 용량의 디스크를 필요로 한다. 이를 해결하기 위해서는 압축을 수행하는 것이 필요하며, 또한 IP와 같이 필요로 하는 몇몇 정보를 압축해제 없이 접근할 수 있게 한다면, 간단한 작업을 위해서도 압축을 풀기 위해 컴퓨팅 파워와 시간을 줄일 수 있을 것이다. 따라서, 이 논문에서는 수집한 패킷마다 압축을 수행할 부분과 수행하지 않을 부분으로 나누고, 압축을 수행한 뒤, 해당 정보를 4바이트의 헤더로 만들어 덧붙임으로써, 기존 트래픽을 압축함과 동시에 패킷들에 대한 간단한 정보들을 압축해제 없이 접근할 수 있는 모델을 제안하였다.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.35-46
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• 2022

Recently, with the development of network technologies, as IoT and social network service applications have been actively used, a lot of graph stream data is being generated. In this paper, we propose a graph compression scheme that considers the stream graph environment by applying graph mining to the existing compression technique, which has been focused on compression rate and runtime. In this paper, we proposed Incremental frequent pattern based compression technique for graph streams. Since the proposed scheme keeps only the latest reference patterns, it increases the storage utilization and improves the query processing time. In order to show the superiority of the proposed scheme, various performance evaluations are performed in terms of compression rate and processing time compared to the existing method. The proposed scheme is faster than existing similar scheme when the number of duplicated data is large.

• Journal of the Korea Society of Computer and Information
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• v.12 no.3
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• pp.85-93
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• 2007

This paper describes a compression scheme for volumetric video data(3D space X 1D time) there each frame of the volume is decompressed and rendered in real-time. Since even one frame size of volume is very large, runtime decompression can be a bottleneck for real-time playback of time-varying volume data. To increase the run-time decompression speed and compression ratio, we decompose the volume into small blocks and only update significantly changing blocks. The results show that our compression scheme compromises decompression speed and image quality well enough for interactive time-varying visualization.

• Korean Journal of Food Science and Technology
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• v.42 no.4
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• pp.398-406
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• 2010

The purpose of this study was to determine the optimal mixing ratios for three different concentrations of maltodextrin, dehydration time, and cutting thickness to prepare gingers using molecular press dehydration (MPD) through response surface methodology (RSM) based on the dehydration rate, rehydration rate, and a sensory evaluation. As maltodextrin concentration increased, dehydration rate, rehydration rate, external, flavor, texture, overall acceptability of the gingers tended to be high, and the color tended to be low. As the dehydration time and cutting thickness increased, dehydration rate, rehydration rate and the sensory evaluation of the gingers tended to be high. The maltodextrin concentrations were 70-82%, dehydration time was 5.2-9.2 hr, and cutting thickness levels were 1.0-1.2 mm. The optimal mixing ratios, maltodextrin concentration, dehydration time, and cutting thickness for manufacturing the best quality of gingers using molecular press dehydration were 76%, 7.2 hr, and 1.1 mm, respectively.

• Journal of the Korean Geotechnical Society
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• v.32 no.12
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• pp.59-67
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• 2016

The strength of frozen soils is affected by size and shape of particles, and the amount of ice and unfrozen water. The objective of this study is to characterize the unfrozen water content and the unconfined compressive strength of the frozen soils according to the degree of saturations and silt fractions. The specimens are mixtures of sand, silt, and water. The silt fractions (SF), which are the ratio of the silt weight ($W_{silt}$) to the sand weight ($W_{sand}$), are 10% and 30%. In addition, the degrees of the saturation are 5%, 10%, 15%, and 20%. The specimens are frozen under the temperature of $-10^{\circ}C$ conditions. The uniaxial compression tests are conducted for 24 hours, 48 hours, and 72 hours after freezing to determine proper freezing time. The freezing time of 24 hours is chosen because the unconfined compressive strengths of specimens after 24 hours freezing times are similar to each other. Furthermore, the unfrozen water content is monitored during freezing using the TDR system. The unfrozen water content increases with the increase of the silt fraction and degree of saturation. The unconfined compressive strength of the frozen soils exponentially increases with increasing the degree of saturation. This study shows that the amount of ice has more influence on the strength of the frozen soils than the amount of unfrozen water.

• The Journal of Engineering Geology
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• v.21 no.4
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• pp.361-367
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• 2011

The uniaxial compressive strength (UCS) is an important factor in the design and construction of surface and underground structures. However, the method employed to measure UCS is time consuming and expensive to apply in the field. Therefore, we developed a model to estimate UCS based on a few properties using linear regression analysis, which is a statistical method. To develop the model, valid factors from the test results were selected from a correlation analysis using a statistical program, and the model was formulated by linear regression based on the relationships among factors. UCS estimates derived from the model were compared with the results of UCS tests, to assess the reliability of the model. The relationship between rock properties and UCS indicates that the factors with the greatest influence on UCS are point load strength and shape facto r. The UCS values obtained using the model are in good agreement with the results of the UCS test. Therefore, the developed model may be used to estimate the UCS of rocks in regions with similar conditions to those of the present study area.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.180-181
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• 2018

JPEG is a most widely used standard image compression technology. This research introduces the JPEG image compression algorithm and describes each step in the compression and decompression. Image compression is the application of data compression on digital images. The DCT (discrete cosine transform) is a technique for converting a time domain to a frequency domain. First, the image is divided into 8 by 8 pixel blocks. Second, working from top to bottom left to right, the DCT is applied to each block. Third, each block is compressed through quantization. Fourth, the array of compressed blocks that make up the image is stored in a greatly reduced amount of space. Finally if desired, the image is reconstructed through decompression, a process using IDCT (inverse discrete cosine transform).

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2010.05a
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• pp.115-116
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• 2010

방사성농축폐액처리를 위한 Polymer-Modified-portlandcement 고화체는 Polymer 및 시멘트, 물을 혼합매질로 제조되며 농축폐액처리를 위해 Emulsion Polymer를 사용하였으며 PMC 고화체의 물성을 평가하기위한 고화체의 제조에서 이들 매질의 최적혼합비를 찾기 위해 Polymer 및 물, 시멘트의 혼합비를 1/1/2,1/2/4,1/3/9 등 혼합비에 따른 시편 및 Polymer 첨가량의 증가에 따라 함유비를 달리하는 시편을 제조하여 경화시간별 압축강도를 측정하였으며 매질의 최적혼합비 및 폴리머의 투입비를 구하고자하였다. 특성평가시험을 위한 시편으로는 직경 50, 높이 100mm(L/D=2) 인시편을 제조하여 압축강도를 측정하였으며 폴리머와 시멘트의 결합상태를 확인하기위해 SEM사진을 통한 미세구조를 관찰하였으며 시험결과 P/W/C의비가 1/3/9인 혼합비시편의 압축강도가 $343.36Kg_f/cm^2$로 가장 높았으며 폴리머의 함유량을 달리한 시험에서는 7%폴리머 함유시편은 $397.24Kg_f/cm^2$, 20% 폴리머함유시편은 $175.36Kg_f/cm^2$으로 폴리머의 함유량이 7~15% 이내의 폴리머함유고화체가 적합한 것으로 판단되었으며 폴리머의 투입양이 증가할수록 압축강도가 감소하였으며 경화시간도 최소4주이상 되어야하는 것으로 판단되었다.