• Journal of Environmental Impact Assessment
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• v.6 no.1
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• pp.105-110
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• 1997

Sanitary landfill is a general method as a final disposal of municipal solid waste(MSW), therefore leachate characteristics are very various as lime goes by because of highly concentrated organic acids are contained non biodegradable COD. So it is hard to abide by the mandatory standards of discharge eventhough applying the physicochemical and biological processes to treat the leachate. The process of treating leachate are determined by the degree of removal and components, but they are highly contained organic materials. It is a removal method to use jointly with the physicochemical process if the hard and fast rule is needed. The critical components of material are COD, ammonia, salts and heavy metals in the case of treating biologically. Biological process is to use metabolism of microorganism, therefore it is a desirable condition which heavy metals are not contained, because they acting as an inhibitor of enzyme. Of these are contained, organic decomposition and synthetic function of microorganisms decrease significantly. Consequently, this research paper lays emphasis on the concentration of heavy metals in leachate and for the purpose of forecasting the factors which are affecting the leaching of metalic waste in some degree, experimented the various reacting conditions. 1. When the concentration of heavy metals in leachate is in comparison with the level eluted after reaction, at pH 7.9 the result of reaction for PCB to CCL scrap showed that Zn, Mn, Cu was more eluted 11.6 times, 340.3 times, and 2,705.5 times respectively than the leachate undiluted solution. 2. At the condition of strong acid pH 4.7, the concentration of heavy metals in EM undiluted solution showed that Zn, Mn, Cu was more eluted 26.5 times, 147.3 times, and 3,656.3 times respectively than leachate undiluted solution. 3. When the ratio leachate to EM was 50 vs 50(V/V%), Mn was more eluted 198.7 times than leachate undiluted solution, but Zn and Cu do not show the meaningful results. 4. The color of landfill leachate was black-brown. And fulvic acid that is main ingredient of NBD COD contained, oxygen of 44~50%. For that reason, I estimated that the level of Zn, Mn, Cu was higher than the case of leachate. 5. COD of leachate from general landfill is difficult to remove. Because the solution of heavy metals is improved by the character of leachate(pH & ingredient of oxygen etc.) hence the Mn, Cu, Zn act as disturbing factor, the biochemical treatment is hard. Therefore the type of PCB & CCL scrap, iron, aluminum contained metals need to previously separate from general wastes as much as possible.

• Journal of the Korean Society of Clothing and Textiles
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• v.3 no.1
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• pp.31-47
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• 1979

1. The old Korean costume had two different kind of dress, one was a military uniform (Goon bok) for military only and the other was uniform (Yoongbok) for civilian and militarian. 2. The military uniform (Goonbok) were dressed under armour, was for war time. And the civilian and military uniform were dressed under Mo (Hat) and Po (Coat dress), was for War time or emergent case. 3. Armour were made of leather in ancient times but later they were made of metal. 4. In generally, armour is classified; 1) To protect neck 2) To protect shoulders and arms 3) To protect breast 4) To protect both legs 5) To protect hands 5. Armour and military uniform (Goonbok) for military only. at the time of three Nations (Ko-kuryo, Bakje. Silla) 1) Armour-a) Identified by found relics or ancient wall picture. b) They had improver! armour. c) Armour of three Nations were resembled each other. 2) Military uniform(Goonbok) a) The Jeogori reached to hip area was called Jangyoo. b) The pants were tight trousers. 6. Armour and military uniform (Goonbok) for military only at Koryo Dynasty. 1) They had improved armour like three nation's age. 2) They were made of iron. leather, paper or cloth 3) The color was white. puple. red. 4) Military uniform(Goonbok) a) Hat-(1) Banggak (2) Josamoja (3) Ibgak (4) Jakwan (5) Sabgak (6) Sumale (7) Jaragwan (8) Kummoja (9) Mubyunkwan (10) Pyungyunchek b) Dress-(l) Jayeisokade (2) Bosanghwa Gayendae (3) Hongbeja Rokrahansam (4) Jag- ongbok Hongeung (5) Jagongbok Jogeung (6) Kumyeisokdae (7) Bilapeja Rokrahansam (8) Jasupoto (9) Kumyei Honggung (10) Kumyei Dokuyeunsokdae (11) Bibosunghwa Dongokumdae (12) Bidaesuyei Kayeundae (13) Jasosulansam (14) Biyeiko (15) Chung-yei Dongsim Sokdae 7. Armour and military uniform of Lee Dynasty 1) Armour-a) the Helmets were attached with visor ar without visor, and later it was added the neck protecter. b) dresses were given various names according to the materials used. for example, Suiejakap or Kyungfunkap. 2) The military uniform (Goonbok) were composed by molip, Hyunchungsakpuja, Jundae, Soowhaja. 8. Military uniform (yoongbok) for civilian and militarian 1) The unifom was developped through Imjin war, Byungja war since the middle of Lee Dynasty. 2) The military uniform (Goonbok), (Yoongbok), armour were by the established dress reg-ulation of imperial ordinance dated April 8th, 1895 which falls 35th year of Kojong. the dress regulation was based upon the western uniform.

• Journal of Broadcast Engineering
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• v.13 no.5
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• pp.685-695
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• 2008

This paper presents a method to segment the object of interest from a set of multi-view images with minimal user interaction. Specifically, after the user segments an initial image, we first estimate the transformations between foreground and background of the segmented image and the neighboring image, respectively. From these transformations, we obtain regions in the neighboring image that respectively correspond to the foreground and the background of the segmented image. We are then able to segment the neighboring image based on these regions, and iterate this process to segment the whole image set. Transformation of foregrounds are estimated by feature-based registration with free-form deformation, while transformation of backgrounds are estimated by homography constrained to affine transformation. Here, both are based on correspondence point pairs. Segmentation is done by estimating pixel color distributions and defining a shape prior based on the obtained foreground and background regions and applying them to a Markov random field (MRF) energy minimization framework for image segmentation. Experimental results demonstrate the effectiveness of the proposed method.

• Journal of Internet Computing and Services
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• v.16 no.1
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• pp.39-46
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• 2015

This paper presents an automatic method to detect and count the cells from microorganism images based on mobile environments. Cell counting is an important process in the field of biological and pathological image analysis. In the past, cell counting is done manually, which is known as tedious and time consuming process. Moreover, the manual cell counting can lead inconsistent and imprecise results. Therefore, it is necessary to make an automatic method to detect and count cells from biological images to obtain accurate and consistent results. The proposed multi-step cell counting method automatically segments the cells from the image of cultivated microorganism and labels the cells by utilizing topological analysis of the segmented cells. To improve the accuracy of the cell counting, we adopt watershed algorithm in separating agglomerated cells from each other and morphological operation in enhancing the individual cell object from the image. The system is developed by considering the availability in mobile environments. Therefore, the cell images can be obtained by a mobile phone and the processed statistical data of microorganism can be delivered by mobile devices in ubiquitous smart space. From the experiments, by comparing the results between manual and the proposed automatic cell counting we can prove the efficiency of the developed system.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.85-92
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• 2017

Recently, in the field of video surveillance, a Deep Learning based learning method has been applied to a method of detecting a moving person in a video and analyzing the behavior of a detected person. The human activity recognition, which is one of the fields this intelligent image analysis technology, detects the object and goes through the process of detecting the body keypoint to recognize the behavior of the detected object. In this paper, we propose a method for Body Keypoint Localization based on Object Detection using RGB-D information. First, the moving object is segmented and detected from the background using color information and depth information generated by the two cameras. The input image generated by rescaling the detected object region using RGB-D information is applied to Convolutional Pose Machines for one person's pose estimation. CPM are used to generate Belief Maps for 14 body parts per person and to detect body keypoints based on Belief Maps. This method provides an accurate region for objects to detect keypoints an can be extended from single Body Keypoint Localization to multiple Body Keypoint Localization through the integration of individual Body Keypoint Localization. In the future, it is possible to generate a model for human pose estimation using the detected keypoints and contribute to the field of human activity recognition.

• Food Science of Animal Resources
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• v.20 no.2
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• pp.152-158
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• 2000

This study was conducted to investigate the influence of feeding illite(yellow soil component) on meat quality of pork. 40 pigs were fed with commercial formulated feed (control group) and 1% illite added feed(treatment group). Pigs grown up to 100~110kg of weight were slaughtered in commercial abattoir. After chilling for 24hours, samples were collected from M. longissimus dorsi muscle, and stored at $4\pm$$1^{\circ}C$ for analyses. The physico-chemical properties was determined during storage days as follows. Ultimate pH was not significantly different between control and treatment(pH 5.58 and 5.60, respectively). Water-holding capacity measured using filter paper press method of the treatment group was slightly higher than that of the control group. Cooking loss of treatment group were significantly lower than that of the control group at 1 and 7 days(p〈0.05). Shear force between control and treatment group was not different. L*- and a*-value were not significantly different between the two groups(p〉0.05), but b*-value of treatment group was lower than that of the control group(p〈0.05). The drip loss of all samples was increased with storage days, and that of the treatment group was significantly lower than that of the control at 1 and 3 day storage. Meat color measured using NPPC pork quality standards was not significantly different between the two groups(p〉0.05), but marbling content of the treatment group was significantly higher than that of the control group(p〈0.05). Sensory characteristics of, flavor taste and tenderness did not show significant differences(p〉0.05), but juiciness of the treatment group showed higher value than that of the control group(p〈0.05)

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.1
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• pp.105-113
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• 2011

Since existing thematic maps have been made with medium- to low-resolution satellite images, they have several shortcomings including low positional accuracy and low precision of presented thematic information. Digital aerial photo image taken recently can express panchromatic and color bands as well as NIR (Near Infrared) bands which can be used in interpreting forest areas. High resolution images are also available, so it would be possible to conduct precision land cover classification. In this context, this paper implemented object-based land cover classification by using digital aerial photos with 0.12m GSD (Ground Sample Distance) resolution and IKONOS satellite images with 1m GSD resolution, both of which were taken on the same area, and also executed qualitative analysis with ortho images and existing land cover maps to check the possibility of object-based land cover classification using digital aerial photos and to present usability of digital aerial photos. Also, the accuracy of such classification was analyzed by generating TTA(Training and Test Area) masks and also analyzed their accuracy through comparison of classified areas using screen digitizing. The result showed that it was possible to make a land cover map with digital aerial photos, which allows more detailed classification compared to satellite images.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.5B
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• pp.512-521
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• 2003

In this paper, we introduce our experience of the design and implementation of mobile collaboration system(MCS) that support people using mobile devices to participate in cooperative session. There are considerable differences between desktop PC and mobile devices like PDA in processing ability, resolution of display and color degree. In the case of mobile devices, they use different processors and different operating system and they have even differences in ability of executing application. The mobile collaborative system based on T.120 protocol of ITU-T standard compromised of mobile collaboration server, mobile collaboration client, session node and application. We also define the session node in desktop PC in which session control block and communication block runs. This node provide functions of session control block and communication block to mobile collaboration clients and so lighten load of clients. The mobile collaboration server provides information of candidates for session node, session and user to mobile collaboration client. And this server support clients to configure their own session node and manage sessions. Only the mobile collaboration client module and applications including APE are executed in a mobile device when user using mobile devices would like to participate in cooperative session. We implemented mobile collaboration client and applications with JAVA to support platform independency.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.141-152
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• 2014

The user interfaces of electronic-book (e-book) readers in the e-book market are highly diverse, and this has led to major usability issues. In this paper, we analyze user preferences in terms of feature-setting options and the use of touchscreen actions in the six most commonly used e-book readers for smartphnoes. We identify alternatives for these features, which can enhance the usability of e-book readers, based on these user preferences. The survey results for the feature-setting options show that it is desirable to support at least eight background colors, as well as the ability to specify the color of the background icons. Adjusting the screen brightness using a setting bar with the support of an auto-brightness option is desirable, as in using +/- buttons to adjust the font size, as well as approximately 10 font faces. We find that it is desirable to support fade, slide, scroll and curl page-turing options, in addition to a simple non-animated page-turning effect, and that page movement should be accomplished using a scroll bar with the support of the page movement features by entering a page number, and by using the table of contents as well as bookmarks. The survey results on the use of touchscreen options indicated that it is useful to be able to configure the screen layout of an e-book reader by dividing it into three areas: left, right, and center. And then, when users briefly touch the left and right areas, it is ideal to move to the previous and subsequent pages, respectively; and when they briefly touch the center region, it is desirable to display a touch feature menu. We believe that the results of this study may provide guidance in the design of user interfaces for e-book readers.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.6
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• pp.786-792
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• 2010

This paper presents a real-time lane detection method which can accurately find the lane-mark boundaries in complex road environment. Unlike many existing methods that pay much attention on the post-processing stage to fit lane-mark position among a great deal of outliers, the proposed method aims at removing those outliers as much as possible at feature extraction stage, so that the searching space at post-processing stage can be greatly reduced. To achieve this goal, a grid-based morphology operation is firstly used to generate the regions of interest (ROI) dynamically, in which a directional edge-linking algorithm with directional edge-gap closing is proposed to link edge-pixels into edge-links which lie in the valid directions, these directional edge-links are then grouped into pairs by checking the valid lane-mark width at certain height of the image. Finally, lane-mark colors are checked inside edge-link pairs in the YUV color space, and lane-mark types are estimated employing a Bayesian probability model. Experimental results show that the proposed method is effective in identifying lane-mark edges among heavy clutter edges in complex road environment, and the whole algorithm can achieve an accuracy rate around 92% at an average speed of 10ms/frame at the image size of $320{\times}240$.