• Journal of the Korean Institute of Landscape Architecture
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• v.29 no.1
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• pp.152-160
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• 2001

This study is conducted to evaluate the effects of containerized landscape tree production methods on post-transplant stress. Two types of container such as plastic pot(pot), fabric growing bag(bag) were adopted to restrict tree roots. Each types of containers was divided into seven sub-types. One traditional production method was included as comparison. Two landscape woody plants species (Magnolia denudata, Albizzia julibrissin) were implanted in the 7 sub-types of container. After one or two growing season in the container, each types of container trees was transplanted. Half of the trees were transplanted in the mild spring season, and another half of trees were transplanted in the improper summer season. The data were collected on the crown wilting ratio and trunk die-back ratio. The result of the analysis based on these data were as follows; 1) The container production methods were lower than the traditional production methods by 3 times in the average wilting ratio of summer season's transplanting point. 2) Post-transplant stress was more successfully mitigated, in case the "pot" type as was the "bag" types of container. 3) The effective and economic way of mitigating post-transplant stress by container production methods was selecting container plants of vigorous and deep root systems. 4) The "pot" type of container was to restrict tree roots more successfully, But, winter chilling and low temperature attacked the "pot" type tree's twigs and suckers. These results indicated that "pot" grown container plants should managed carefully during the winter after transplanting. Based upon the results of this study, a subsequent research on the development of container material, growth type of the container trees, and other maintaining method will be required.es, and other maintaining method will be required.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.4
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• pp.273-280
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• 2013

This paper presents novel OCS-LBP (Oriented Center Symmetric Local Binary Patterns) based on orientation of pixel gradient and image retrieval system based on BoF (Bag-of-Feature) and random forest classifier. Feature vectors extracted from training data are clustered into code book and each feature is transformed new BoF feature using code book. BoF features are applied to random forest for training and random forest having N classes is constructed by combining several decision trees. For testing, the same OCS-LBP feature is extracted from a query image and BoF is applied to trained random forest classifier. In contrast to conventional retrieval system, query image selects similar K-nearest neighbor (K-NN) classes after random forest is performed. Then, Top K similar images are retrieved from database images that are only labeled K-NN classes. Compared with other retrieval algorithms, the proposed method shows both fast processing time and improved retrieval performance.

• Journal of KIISE
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• v.42 no.2
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• pp.227-234
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• 2015

This paper proposes a modified MI-SVM algorithm by considering data distribution. The previous MI-SVM algorithm seeks the margin by considering the "most positive" instance in a positive bag. Positive instances included in positive bags are located in a similar area in a feature space. In order to reflect this characteristic of positive instances, the proposed method selects the "most positive" instance by calculating the distance between each instance in the bag and a pivot point that is the intersection point of all positive instances. This paper suggests two ways to select the "most positive" pivot point in the training data. First, the algorithm seeks the "most positive" pivot point along the current predicted parameter, and then selects the nearest instance in the bag as a representative from the pivot point. Second, the algorithm finds the "most positive" pivot point by using a Diverse Density framework. Our experiments on 12 benchmark multi-instance data sets show that the proposed method results in higher performance than the previous MI-SVM algorithm.

• Journal of Advanced Navigation Technology
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• v.20 no.2
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• pp.107-115
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• 2016

The passenger who use airport spend a lot of time in check-in. They are also delayed in their readiness for departure. Therefore, for decrease in time that is waiting time for handling luggage, recently many airports are expanding self-service. Also internal development and manufacturing for production automation system and IT technology are world-class. So, for localization of self bag drop (SBD) system, I think that application this system in domestic technique and constructing competitive in customer reception system will be efficient airport management. To this end, for looking for optimal conditions when passengers use SBD, this thesis include development simulation of relevance to system. Also this thesis secures information for passenger's in foreign country airport and simulate this data. Finally, that analysis the best management passenger system when the passenger use SDB.

• Fashion & Textile Research Journal
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• v.13 no.1
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• pp.82-90
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• 2011

This study examines if men in the 20's and 30's have different preference for bag types according to their age and gender-role identity types in order to provide foundational data for the male bag market to segment its customers and establish marketing strategies. Total 288 questionnaire sheets were distributed to 186 men in the 20's and 102 men in the 30's residing in Busan. First, according to the result of analyzing their preference for bag types, adult men in the 20's and 30's preferred cross bags the most. It was also shown that men who are feminine or androgynous prefer back packs, shoulder bags, and tote bags to the other two types. Second, about cross bags, men in the 20's showed a higher rate of having two or three than those in the 30's. Men in the 20's possessed back packs more than those in the 30's. And men tend to show a lower rate of having shoulder bags compared with that of cross bags or back packs. Men in the 30's possessed briefcases more than those in the 20's. Masculine men had more briefcases than the other types of bags, and androgynous men tend to have more tote bags than the other types of bags. Third, men in the 20's and 30's all deemed that back packs go well with the casual style. Men in the 20's regarded shoulder bags are the type of bags that harmoniously matches all styles including casual or semi-suit; however, men in the 30's think they only suit casual or semi-suit. And it was also found that men in the 20's think briefcases are the type of bags that goes well with various styles of clothes while men in the 20's consider they are the type of bags only matching suits.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.2
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• pp.769-786
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• 2016

Object recognition and object location have always drawn much interest. Also, recently various computational models have been designed. One of the big issues in this domain is the lack of an appropriate model for extracting important part of the picture and estimating the object place in the same environments that caused low accuracy. To solve this problem, a new Salient Based Bag of Visual Word (SBBoVW) model for object recognition and object location estimation is presented. Contributions lied in the present study are two-fold. One is to introduce a new approach, which is a Salient Based Bag of Visual Word model (SBBoVW) to recognize difficult objects that have had low accuracy in previous methods. This method integrates SIFT features of the original and salient parts of pictures and fuses them together to generate better codebooks using bag of visual word method. The second contribution is to introduce a new algorithm for finding object place based on the salient map automatically. The performance evaluation on several data sets proves that the new approach outperforms other state-of-the-arts.

• 한국가시화정보학회:학술대회논문집
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• 2006.12a
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• pp.17-20
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• 2006

Passenger safety is fundamental factor in automobile. Among much equipment for passenger safety, the air bag system is the most fundamental and effective device. Beside of the front air bag system which installed on most of all automobiles, a curtain-type air bag is increasingly adapted in deluxe cars fur protecting passengers from the danger of side clash. Curtain type airbag system consists of inflator housing, fill hose, curtain airbag. Inflator housing is a main part of the curtain-type air bag system for supplying high-pressure gases to deploy the air bag-curtain. Fill hose is a passageway to carry the gases from inflator housing to each part of curtain airbag. Therefore, it is very important to design the vent holes of fill hose for good performance of airbag deployment. But, the flow information from vent holes of fill hose is very limited. In this study, we measured instantaneous velocity fields of a high-speed flow ejecting from the vent holes of fill hose using a dynamic PIV system. From the velocity Held data measured at a high frame-rate, we evaluated the variation of the mass flow rate with time. From the instantaneous velocity fields of flow ejecting from the vent holes in the initial stage, we can see a flow pattern of wavy motion and fluctuation. The flow ejecting from the vent holes was found to have very high velocity fluctuations and the maximum velocity was about 480m/s at 4-vent hole region. From the mass flow rate with time, the accumulated flow of 4-vent hole has occupied about 70% of total flow rate.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.219-229
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• 2022

This study is to evaluate the intervention effect using a flowmeter in bag-valve mask skill education. The purpose of this study was to compare the accuracy of bag-valve mask skill between intervention group with flowmeter and control group without flowmeter, understand the improvement effect of skill education of bag-valve mask, and provide basic data to suggest the method of skill education. The total number of subjects of this study was 60, with 30 intervention group and 30 control group. In comparison of the optimal number of normal tidal volume range at pre-test and post-test, the normal range percentages of the intervention group before and after education were 32.8% and 86.7%, respectively, and there was a significant difference(p<0.01). The normal range percentages of the control group before and after education were 20.0% and 34.7%, respectively, and there was a significant difference(p<0.05). To evaluate the factors associated with good performance of bag-valve mask skill of the subjects including the normal range of tidal volume, the logistic regression analysis has been performed, and the significant influential factors were gender(10.305, 1.20-87.98), educational experience of field practice(31.674, 1.25-805.16), and intervention(92.750, 4.58-1879.69). Through this study, it was confirmed that the intervention using flowmeter for the skill education of bag-valve mask was effective, and it is necessary to consider reflecting it in the education of students majoring in emergency medical technology in the future.

• Journal of Internet Computing and Services
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• v.11 no.3
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• pp.15-24
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• 2010

In this paper, we propose an image classification which combines semantic relations of tags with contents of images to improve the satisfaction of image retrieval on application domains as huge image sharing sites. To make good use of image retrieval or classification algorithms on huge image sharing sites as Flickr, they are applicable to real tagged Web images. To classify the Web images by 'bag of visual word' based image content, our algorithm includes training the category model by utilizing the preliminary retrieved images with semantically related tags as training data and classifying the test images based on PLSA. In the experimental results on the Flickr Web images, the proposed method produced the better precision and recall rates than those from the existing method using tag information.

• Journal of Korean Biological Nursing Science
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• v.13 no.3
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• pp.204-210
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• 2011

Purpose: The purpose of this study was to provide basic data for the guidelines for cleaning the feeding bags by comparing the level of contamination according to cleaning and disinfection methods when feeding tube of Neurosurgery Intensive Care Unit patients. Methods: This study was a true-experimental study, with 48 cases in total. The feeding bag of 48 patients were randomly assigned to detergent cleaning method or disinfectant decontamination method. The period of the experiment was January to July 2008, and enteral nutrition was given within 30 minutes for 2 hours, 4 times a day at 7AM, noon, 5PM, and 9PM for seven days. Feeding bags were cleaned after each feeding according to the assigned cleaning and disinfection method followed by microbial cultures on 4th and 8th day before the 7AM feeding. Results: After three and seven days of feeding and cleaning, the level of contamination was significantly lower when bags were cleaned with disinfectant than cleaning with detergent and tepid water. Conclusion: In cases where feeding bags are reused, for example, intensive care unit and home care settings, study findings indicate that cleaning bags with disinfectant is an effective way to prevent contamination of bags.