• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.1-25
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• 2020

In this paper, we suggest an application system architecture which provides accurate, fast and efficient automatic gasometer reading function. The system captures gasometer image using mobile device camera, transmits the image to a cloud server on top of private LTE network, and analyzes the image to extract character information of device ID and gas usage amount by selective optical character recognition based on deep learning technology. In general, there are many types of character in an image and optical character recognition technology extracts all character information in an image. But some applications need to ignore non-of-interest types of character and only have to focus on some specific types of characters. For an example of the application, automatic gasometer reading system only need to extract device ID and gas usage amount character information from gasometer images to send bill to users. Non-of-interest character strings, such as device type, manufacturer, manufacturing date, specification and etc., are not valuable information to the application. Thus, the application have to analyze point of interest region and specific types of characters to extract valuable information only. We adopted CNN (Convolutional Neural Network) based object detection and CRNN (Convolutional Recurrent Neural Network) technology for selective optical character recognition which only analyze point of interest region for selective character information extraction. We build up 3 neural networks for the application system. The first is a convolutional neural network which detects point of interest region of gas usage amount and device ID information character strings, the second is another convolutional neural network which transforms spatial information of point of interest region to spatial sequential feature vectors, and the third is bi-directional long short term memory network which converts spatial sequential information to character strings using time-series analysis mapping from feature vectors to character strings. In this research, point of interest character strings are device ID and gas usage amount. Device ID consists of 12 arabic character strings and gas usage amount consists of 4 ~ 5 arabic character strings. All system components are implemented in Amazon Web Service Cloud with Intel Zeon E5-2686 v4 CPU and NVidia TESLA V100 GPU. The system architecture adopts master-lave processing structure for efficient and fast parallel processing coping with about 700,000 requests per day. Mobile device captures gasometer image and transmits to master process in AWS cloud. Master process runs on Intel Zeon CPU and pushes reading request from mobile device to an input queue with FIFO (First In First Out) structure. Slave process consists of 3 types of deep neural networks which conduct character recognition process and runs on NVidia GPU module. Slave process is always polling the input queue to get recognition request. If there are some requests from master process in the input queue, slave process converts the image in the input queue to device ID character string, gas usage amount character string and position information of the strings, returns the information to output queue, and switch to idle mode to poll the input queue. Master process gets final information form the output queue and delivers the information to the mobile device. We used total 27,120 gasometer images for training, validation and testing of 3 types of deep neural network. 22,985 images were used for training and validation, 4,135 images were used for testing. We randomly splitted 22,985 images with 8:2 ratio for training and validation respectively for each training epoch. 4,135 test image were categorized into 5 types (Normal, noise, reflex, scale and slant). Normal data is clean image data, noise means image with noise signal, relfex means image with light reflection in gasometer region, scale means images with small object size due to long-distance capturing and slant means images which is not horizontally flat. Final character string recognition accuracies for device ID and gas usage amount of normal data are 0.960 and 0.864 respectively.

• Journal of Korea Spatial Information System Society
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• v.7 no.3 s.15
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• pp.67-81
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• 2005

Recently, the interest and research on the development of new application services such as the Location Based Service and Telemetics providing the emergency service, neighbor information search, and route search according to the development of the Geographic Information System have been increasing. User's search in the spatio-temporal database which is used in the field of Location Based Service or Telemetics usually fixes the current time on the time axis and queries the spatial and aspatial attributes. Thus, if the range of query on the time axis is extensive, it is difficult to efficiently deal with the search operation. For solving this problem, the snapshot, a method to summarize the location data of moving objects, was introduced. However, if the range to store data is wide, more space for storing data is required. And, the snapshot is created even for unnecessary space that is not frequently used for search. Thus, non storage space and memory are generally used in the snapshot method. Therefore, in this paper, we suggests the Hash-based Spatio-Temporal Clustering Algorithm(H-STCA) that extends the two-dimensional spatial hash algorithm used for the spatial clustering in the past to the three-dimensional spatial hash algorithm for overcoming the disadvantages of the snapshot method. And, this paper also suggests the knowledge extraction algorithm to extract the knowledge for the path search of moving objects from the past location data based on the suggested H-STCA algorithm. Moreover, as the results of the performance evaluation, the snapshot clustering method using H-STCA, in the search time, storage structure construction time, optimal path search time, related to the huge amount of moving object data demonstrated the higher performance than the spatio-temporal index methods and the original snapshot method. Especially, for the snapshot clustering method using H-STCA, the more the number of moving objects was increased, the more the performance was improved, as compared to the existing spatio-temporal index methods and the original snapshot method.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.2
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• pp.36-49
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• 2019

The objectives of this study were to extract "Field Survey Based Infection Tree of Pine Wilt Disease(FSB_ITPWD)" and "Object Classification Based Infection Tree of Pine Wilt Disease(OCB_ITPWD)" from the Research Forest at Kangwon National University, and evaluate the spatial distribution characteristics and occurrence intensity of wood infested by pine wood nematode. It was found that the OCB optimum weights (OCB) were 11 for Scale, 0.1 for Shape, 0.9 for Color, 0.9 for Compactness, and 0.1 for Smoothness. The overall classification accuracy was approximately 94%, and the Kappa coefficient was 0.85, which was very high. OCB_ITPWD area is approximately 2.4ha, which is approximately 0.05% of the total area. When the stand structure, distribution characteristics, and topographic and geographic factors of OCB_ITPWD and those of FSB_ITPWD were compared, age class IV was the most abundant age class in FSB_ITPWD (approximately 55%) and OCB_ITPWD (approximately 44%) - the latter was 11% lower than the former. The diameter at breast heigh (DBH at 1.2m from the ground) results showed that (below 14cm) and (below 28cm) DBH trees were the majority (approximately 93%) in OCB_ITPWD, while medium and (more then 30cm) DBH trees were the majority (approximately 87%) in FSB_ITPWD, indicating different DBH distribution. On the other hand, the elevation distribution rate of OCB_ITPWD was mostly between 401 and 500m (approximately 30%), while that of FSB_ITPWD was mostly between 301 and 400m (approximately 45%). Additionally, the accessibility from the forest road was the highest at "100m or less" for both OCB_ITPWD (24%) and FSB_ITPWD (31%), indicating that more trees were infected when a stand was closer to a forest road with higher accessibility. OCB_ITPWD hotspots were 31 and 32 compartments, and it was highly distributed in areas with a higher age class and a higher DBH class.

• (The)Study of the Eastern Classic
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• no.54
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• pp.387-416
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• 2014

This article explored the duplicity relation between the Daxue/Zhongyong of Confucianism and the Yonghobigyeol of Taoism, which was advocated by Bongwoo Gwon Tae-hoon, who was a Confucian scholar and the progenitor of Sundoism. The view of Bongwoo Gwon Tae-hoon was that the Confucian scriptures that contain the mind control method handed down from Confucius are Daxue, Zhongyong and Zhouyixicichuan (周易繫辭傳). His another view was that Zhuzi (朱子) intentionally did not expose the original object of Confucian mind control method in the interpretation of Sangangling (三綱領) of Daxuezhangju (大學章句) annotated by him, since he was invoked by the contemporary logic of Sung Period (宋代). Bongwoo Gwon Tae-hoon added a new annotation on Daxue Sangangling and tried to disclose the original object of Confucian mind control method through new interpretation by explaining the implied meaning of character '中' (zhong) of Zhongyong Yunzhijuezhong (允執厥中) by way of Iljungron (一中論). In addition to this new interpretation, Bongwoo Gwon Tae-hoon took the Yuanxiangfa (原象法), which Confucius compiled as the extract of Yijing (易經) from Zhouyixicichuan (周易繫辭傳), as the core of Confucian metaphysical philosophy study. He suggested Yuanxiangfa as a methodology to reach the ultimate target of study together with the Yonghobigyeol of Taoism and paid attention to the close relationship between the two. Bongwoo Gwon Tae-hoon verified the original object of Daxue by new interpretation on Daxue Sangangling, left an analytical thought on the consistency among Daxue, Zhongyong and Xicichuan (繫辭傳) and the study method of Igyohabil (異敎合一), where he integrated the principle of Taoism and Confucianism. Bongwoo Gwon Tae-hoon left a new topic to Korean world of thought, which is as important as the Seondanhosuron (禪丹互修論) of Cheonghaja Gwon Geuk-jung (靑霞子 權克中) in Joseon Period.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.1
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• pp.111-121
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• 2006

Recently, many studies have been performed to apply airborne LIDAR data to extracting urban models. In order to model efficiently the man-made objects which are the main components of these urban models, it is important to extract automatically planar patches from the set of the measured three-dimensional points. Although some research has been carried out for their automatic extraction, no method published yet is sufficiently satisfied in terms of the accuracy and completeness of the segmentation results and their computational efficiency. This study thus aimed to developing an efficient approach to automatic segmentation of planar patches from the three-dimensional points acquired by an airborne LIDAR system. The proposed method consists of establishing adjacency between three-dimensional points, grouping small number of points into seed patches, and growing the seed patches into surface patches. The core features of this method are to improve the segmentation results by employing the variable threshold value repeatedly updated through a statistical analysis during the patch growing process, and to achieve high computational efficiency using priority heaps and sequential least squares adjustment. The proposed method was applied to real LIDAR data to evaluate the performance. Using the proposed method, LIDAR data composed of huge number of three dimensional points can be converted into a set of surface patches which are more explicit and robust descriptions. This intermediate converting process can be effectively used to solve object recognition problems such as building extraction.

• Journal of Korean Medicine Rehabilitation
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• v.20 no.1
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• pp.37-59
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• 2010

Objectives : The object of this study was to observe the favorable anti arthritic effects of Euiiin-tang($y{\grave{i}}y{\breve{i}}r{\acute{e}}n-t{\bar{a}}ng$) aqueous extract(EIITe), has been traditionally used in Korean medicine for treating rheumatoid arthritis on collagen induced arthritic(CIA) DBA/1 mice. Methods : In the present study, effects of EIITe on the releases of human tumor necrosis factor(TNF)-${\alpha}$, interleukin(IL)-$1{\beta}$, matrix metalloproteinase(MMP)-13 and production of Nitric oxide(NO) were observed by in vitro. In addition, to observe the effects on the CIA mice, three different dosages of EIITe, 300, 150 and 150 mg/kg were orally administered once a day for 18 days from 24hrs after antigen challenges(type II collagen) on 21 days after immunization using Type II collagen Freund's complete adjuvant. Six groups, each of 8 DBA/1 mice per group were used in the present study as follows. Changes on the body weights, macroscopic arthritis scores, splenic weights, splenic TNF-${\alpha}$ and IL-6 contents, articular cartilage(femur and tibia) collagen and glycosaminoglycans-chondroitin sulphate, sulphate and hyaluronic acid contents, histopathological observations(microscopic arthritis scores, thicknesses of femur and tibia cartilage thicknesses were monitored, compared to that of dexamethasone, a potent anti inflammatory agents, 1 mg/kg treated mice. Results : As results of collagen challenges, marked decreases of body weights and gains, articular cartilage collagen and glycosaminoglycan - chondroitin sulphate, sulphate and hyaluronic acid contents were observed with increases of macroscopic arthritis scores, splenic weights, splenic TNF-${\alpha}$ and IL-6 contents, articular cartilage(in the both femur and tibia) loss and damages. However, these CIA signs were significantly and dosages dependently inhibited by treatment of EIITe 300 and 150 mg/kg as compared with CIA control, respectively. In addition, the releases of TNF-${\alpha}$, IL-$1{\beta}$, NO and MMP-13 were markedly and dose dependently inhibited by treatment of EIITe, invitro. Although CIA were more favorably inhibited by treatment of dexamethasone 1 mg/kg as compared with EIITe 300 mg/kg, marked decreases of body weights were detected in dexamethasone 1 mg/kg treated mice. Conclusions : The results obtained in this study suggest that over 150 mg/kg of EIITe showed favorable anti arthritic effects on the CIA mediated by immunomodulatory and/or anti oxidative effects. However, detail mechanism studies should be conduced in future with the screening of the biological active compounds in this herb. lthough CIA were more favorably inhibited by treatment of dexamethasone 1 mg/kg as compared with EIITe 300 mg/kg, marked decreases of body weights were detected in dexamethasone 1 mg/kg treated mice, in the present study.

• The KIPS Transactions:PartB
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• v.18B no.6
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• pp.405-414
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• 2011

Korean grammar checkers typically detect context-dependent errors by employing heuristic rules that are manually formulated by a language expert. These rules are appended each time a new error pattern is detected. However, such grammar checkers are not consistent. In order to resolve this shortcoming, we propose new method for generalizing error decision rules to detect the above errors. For this purpose, we use an existing thesaurus KorLex, which is the Korean version of Princeton WordNet. KorLex has hierarchical word senses for nouns, but does not contain any information about the relationships between cases in a sentence. Through the Tree Cut Model and the MDL(minimum description length) model based on information theory, we extract noun classes from KorLex and generalize error decision rules from these noun classes. In order to verify the accuracy of the new method in an experiment, we extracted nouns used as an object of the four predicates usually confused from a large corpus, and subsequently extracted noun classes from these nouns. We found that the number of error decision rules generalized from these noun classes has decreased to about 64.8%. In conclusion, the precision of our grammar checker exceeds that of conventional ones by 6.2%.

• Archives of design research
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• v.16 no.4
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• pp.289-298
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• 2003

The 21st century could be called the age of Experience Economy associated with the importance to external and internal experience of product users. It needs the understanding of customer's needs in new point of view. In the area of design development, it requires the extensive application of experience from traditional method that was based on the style and usability to more advanced concept. To correspond to these changes, we need to explore new customer's value system for knowledge-information design and systematic approaches to experience system. The purpose of this research is to define the concept of 'experience' newly in the importance side of customer's life, form a clear definition of experience design and present the model of application system. Theoretical frameworks of this research are based on the Empiricism and John Dewey's theory. By applying these frameworks make dear the concept of experience concept and reanalysis the meaning and style in the perspective of design. In this process, we can extract the main factors that inducing the experience, create new application system and model again to the field of design. Application model can creates various experiences through supplying different experience style and factors for customer, make customer realize experience object. Experience designs offer optimal experience to users by making a plan and design experience to user's goal.

• The Journal of Korean Medicine
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• v.24 no.1
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• pp.169-180
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• 2003

Background : Allergic asthma is thought to be mediated by $CD4^{+}$ T lymphocytes producing the Th2-associated cytokines. According to investigations of lung biopsies and respiratory secretions from patients, $CD4^{+}$ T cells and eosinophils are the main features of the inflammatory process. Object : This study aimed to find an inhibition effect on allergens induced by JCT (Jungchun-tang) and JCTG (Jungchuntanggagambang) through the change of $CD4^{+}$ T cells and $CD8^{+}$ T cells in BALF of rat, and to see the change of IgE m serum. Materials and Methods : Laboratory rats were primary sensitized with OA (ovalbumin); on day 1, rats of a control group and a sample group (SBP group) were systemically immunized by subcutaneous injection of 1mg OA and 300mg of A1(OH)3 in a total volume of 2 ml saline. The rats of the sample group were orally administered with an SBP water extract for 14 days after primary immunization. On day 14 after the systemic immunization, rats received local immunization by inhaling 0.9% saline aerosol containing 2%(wt/vol) OA. A day after local immunization, BAL fluid and serum were collected from the rats. Total cells, lymphocytes, $CD4^{+}$ T cells, $CD8^{+}$ T cells, and $CD4^{+}$/$CD8^{+}$ ratio in the BALF, and IgE level in serum were measured and evaluated. Results : L Total cell in BALF of rat : JCT was observed to be significantly reduced but JCTG had no significant difference in comparison with the control group. 2. Lymphocytes in BALF of rat : JCT and JCTG were observed to be significantly reduced in comparison with the control group. 3. $CD4^{+}$T cells in BALF of rat : JCT was observed to be more significantly reducing than JCTG in comparison with the control group. 4. $CD8^{+}$T cells in BALF of rat : JCT and JCTG were observed not to be significantly different than in the control group. 5. $CD4^{+}/CD8^{+}$ ratio in BALF of rat : JCT and JCTG were observed not to be significantly different than in the control group. 6. The IgE level in serum : JCT and JCTG were observed to be significantly reduced in comparison with the control group. Conclusion : This study shows that JCT inhibits allergen-induced specially select $CD4^{+}$T cell channel in BALF of rat.

• Journal of Broadcast Engineering
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• v.11 no.4 s.33
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• pp.471-482
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• 2006

In this paper, we propose a new scheme to generate multi-view images utilizing depth map decomposition and adaptive edge smoothing. After carrying out smooth filtering based on an adaptive window size to regions of edges in the depth map, we decompose the smoothed depth map into four types of images: regular mesh, object boundary, feature point, and number-of-layer images. Then, we generate 3-D scenes from the decomposed images using a 3-D mesh triangulation technique. Finally, we extract multi-view images from the reconstructed 3-D scenes by changing the position of a virtual camera in the 3-D space. Experimental results show that our scheme generates multi-view images successfully by minimizing a rubber-sheet problem using edge smoothing, and renders consecutive 3-D scenes in real time through information decomposition of depth maps. In addition, the proposed scheme can be used for 3-D applications that need the depth information, such as depth keying, since we can preserve the depth data unlike the previous unsymmetric filtering method.