• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.1
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• pp.364-380
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• 2016

The most popular approach in object classification is based on the bag of visual-words model, which has several fundamental problems that restricting the performance of this method, such as low time efficiency, the synonym and polysemy of visual words, and the lack of spatial information between visual words. In view of this, an object classification based on weakly supervised E2LSH and saliency map weighting is proposed. Firstly, E2LSH (Exact Euclidean Locality Sensitive Hashing) is employed to generate a group of weakly randomized visual dictionary by clustering SIFT features of the training dataset, and the selecting process of hash functions is effectively supervised inspired by the random forest ideas to reduce the randomcity of E2LSH. Secondly, graph-based visual saliency (GBVS) algorithm is applied to detect the saliency map of different images and weight the visual words according to the saliency prior. Finally, saliency map weighted visual language model is carried out to accomplish object classification. Experimental results datasets of Pascal 2007 and Caltech-256 indicate that the distinguishability of objects is effectively improved and our method is superior to the state-of-the-art object classification methods.

• Journal of Powder Materials
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• v.8 no.2
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• pp.91-97
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• 2001

The conventional debinding process in metal injection molding is very long time-consuming and unfriendly environmental method. Especially, in such a case of injection molded parts from hard and fine metal powder, such as WC-Co, an extremely long period of time is necessary in the conventional slow binder removal process. On the other hand, supercritical debinding is thought to be the effective method which is appropriate to eliminate the aforementioned inconvenience in the prior art. The supercritical fluid has high diffusivity and density, it can penetrate quickly into the inside of the green metal bodies, and extract the binder. In this paper, super-critical debinding is compared with wicking debinding process. Wax-based binder system is used in this study. The binder removal rate in supercritical $CO_2$ have been measured at $65^{\circ}C$, 75$^{\circ}C$ in the pressure range from 20 MPa to 28 MPa. Pores and cracks in silver bodies after sintering were observed using SEM When the super-critical $CO_2$ debinding was carried out at 75$^{\circ}C$, almost all the wax (about 70 wt% of binder) was removed in 2 hours under 28 MPa and 2.5 hours under 25 MPa.

• Korean Management Science Review
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• v.16 no.1
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• pp.157-171
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• 1999

In a increasingly competitive marketplace, the manufacturing companies have no choice but looking for ways to improve productivity to sustain their competitiveness and survive in the industry. Recently cellular manufacturing has been under discussion as an option to be easily implemented without burdensome capital investment. The objective of cellular manufacturing is to realize many aspects of efficiencies associated with mass production in the less repetitive job-shop production systems. The very first step for cellular manufacturing is to group the sets of parts having similar processing requirements into part families, and the equipment needed to process a particular part family into machine cells. The underlying problem to determine the part and machine assignments to each manufacturing cell is called the cell formation. The purpose of this study is to develop a clustering algorithm based on the neural network approach which overcomes the drawbacks of ART1 algorithm for cell formation problems. In this paper, a generalized learning vector quantization(GLVQ) algorithm was devised in order to transform a 0/1 part-machine assignment matrix into the matrix with diagonal blocks in such a way to increase clustering performance. Furthermore, an assignment problem model and a rearrangement procedure has been embedded to increase efficiency. The performance of the proposed algorithm has been evaluated using data sets adopted by prior studies on cell formation. The proposed algorithm dominates almost all the cell formation reported so far, based on the grouping index($\alpha$ = 0.2). Among 27 cell formation problems investigated, the result by the proposed algorithm was superior in 11, equal 15, and inferior only in 1.

• Journal of the Korea Fashion and Costume Design Association
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• v.5 no.2
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• pp.1-15
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• 2003

Buttons in general reflect the culture of the society, and their values depend on practicality, decorative feature, and symbolism. Their infinite potential enables us to attempt various original changes in formative factors such as forms, patterns, colors, materials and sizes. In addition new styles, methods, and techniques are tried to show that the decorative feature becomes stronger today than it did in the past when the function was more important. Now buttons are not only a factor of clothing but have value as composite art works reflecting the pride, idea and culture of a nation. Moreover consumers' interest in new designs increases everyday as the moderns' desire for unique individuality rises. Button designs of Korea, however, are still far behind in the aspects of materials, qualities, and methods, facilities, and scale of production. And uniform mass production prevails without the buttons of creative and artistic values made due to the lack of specialized designers. Therefore it seems necessary to carry out historial studies simultaneously with the rising interest in button designs now. Prior to developing new designs, the study will examine those of western buttons that are the origin, going through relevant literature and data to define the characteristics of each era and type. It may provide basic data for developing the backward button designs of Korea.

• The Korean Journal of Community Living Science
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• v.17 no.4
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• pp.15-27
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• 2006

Most countries recognize traditional knowledge as an economical resource in recent years, and so are actively participating in WIPO discussions for making sure of their intellectual property rights. In this study, the definition of traditional knowledge was discussed for making clear its categories and relative subjects. A tool for Korean Traditional Knowledge Resource Classification(KTKRC) was developed for putting the data of the resources in order, and was indispensable for searching for and examining cultural artifacts within the system of international intellectual property rights. KTKRC covers comprehensively our various traditional knowledge resources and has a similar structure to IPC for international searching, examining, and information exchange. KTKRC consists of a section of traditional knowledge(A), and three subsections: production technology(A0), living technology(A2) and creative technology(A4). The subsections include 8 classes, 28 subclasses, 105 groups, and a great number of subgroups.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.3
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• pp.1167-1187
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• 2020

With the development of medical imaging technology, image registration has been widely used in the field of disease diagnosis. The registration between different modal images of brain magnetic resonance (MR) is particularly important for the diagnosis of brain diseases. However, previous registration methods don't take advantage of the prior knowledge of bilateral brain symmetry. Moreover, the difference in gray scale information of different modal images increases the difficulty of registration. In this paper, a multimodal medical image registration method based on image segmentation and symmetric self-similarity is proposed. This method uses modal independent self-similar information and modal consistency information to register images. More particularly, we propose two novel symmetric self-similarity constraint operators to constrain the segmented medical images and convert each modal medical image into a unified modal for multimodal image registration. The experimental results show that the proposed method can effectively reduce the error rate of brain MR multimodal medical image registration with rotation and translation transformations (average 0.43mm and 0.60mm) respectively, whose accuracy is better compared to state-of-the-art image registration methods.

• Korean journal of food and cookery science
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• v.32 no.6
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• pp.791-799
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• 2016

Purpose: The objective of this study was to determine the effects of genetically modified (GM) food promotion and education through the blog. Methods: Education program for consumer-oriented GM foods by the blog was developed and survey was performed by the visitors for totals of twelve weeks. The blog was formed by information (definition, mark etc.) offering style and named as "Correct knowing of genetically modified organisms (GMO)." Event was held to enhance the promotion of the blog from the week 9 to week 12. Results: Visitors of the final week increased 4 times, as compared to those of the starting the event week 9. Most of the 138 consumers (94.5%) did not have prior GMO education experience. The 97 consumers aged 20 years old showed significantly the highest ratios in the experience of blog or website (p<0.01). Comparing before and after the blog education, notification on GM foods and willingness to buy GMO products, the benefit of GMO, willingness to check GMO mark when buying GMO products showed positive change of GM foods (p<0.05). Conclusion: Over 80% answered that the blog helped to understand the GM foods. Thus, we conclude using blog is effective way of GM food promotion and education and continuous efforts are needed to maintain an active blog for the consumer's rights of knowledge about GM foods.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.20 no.1
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• pp.47-52
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• 2014

Background: This case study is to describe the manual therapy for the patient with posttraumatic stress (PTSD), sleep disturbance, and pain such as chronic low back pain (CLBP). Methods: The patient who participated in this study was a 60 year-old male PTSD patient with CLBP. His CLBP is not from any genetic or family history but a sequelae of torture that he had gone through about 30 years ago. Prior to the intervention, it was assessed that the PDS-K score was 16, PQSI-K was 12, SLR-90-R was low, VAS score was 10, and KODI socre was 25. The intervention was conducted through manual therapy (myofascial release, muscle energy technique, lumbar stabilization) twice a week for eight weeks in total. Results: After eight week-intervention, the PDS-K, SLR-90-R, VAS, and KODI score were improved whereas PQSI-K was not sufficiently fast improved. Conclusions: The manual therapy is substantially effective in dealing with PTSD and CLBP.

• Earthquakes and Structures
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• v.9 no.6
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• pp.1251-1272
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• 2015

It is widely recognized that the preferred yielding mechanism for a hybrid coupled wall structure is that all coupling beams over the height of the structure yield in shear prior to formation of plastic hinges in structural walls. The objective of the study is to provide feasible approaches that are able to promote the preferred seismic performance of hybrid coupled walls. A new design methodology is suggested for this purpose. The coupling ratio, which represents the contribution of coupling beams to the resistance of system overturning moment, is employed as a fundamental design parameter. A series of nonlinear time history analyses on various representative hybrid coupled walls are carried out to examine the adequacy of the design methodology. While the proposed design method is shown to be able to facilitate the desired yielding mechanism in hybrid coupled walls, it is also able to reduce the adverse effects caused by the current design guidelines on the structural design and performance. Furthermore, the analysis results reveal that the state-of-the-art coupled wall design guidelines could produce a coupled wall structure failing to adequately exhaust the energy dissipation capacity of coupling beams before walls yield.

• ETRI Journal
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• v.41 no.6
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• pp.797-810
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• 2019

Image saliency detection is the basis of perceptual image processing, which is significant to subsequent image processing methods. Most saliency detection methods can detect only a single object with a high-contrast background, but they have no effect on the extraction of a salient object from images with complex low-contrast backgrounds. With the prior knowledge, this paper proposes a method for detecting salient objects by combining the boundary contrast map and the geodesics-like maps. This method can highlight the foreground uniformly and extract the salient objects efficiently in images with low-contrast backgrounds. The classical receiver operating characteristics (ROC) curve, which compares the salient map with the ground truth map, does not reflect the human perception. An ROC curve with distance (distance receiver operating characteristic, DROC) is proposed in this paper, which takes the ROC curve closer to the human subjective perception. Experiments on three benchmark datasets and three low-contrast image datasets, with four evaluation methods including DROC, show that on comparing the eight state-of-the-art approaches, the proposed approach performs well.