• Journal of Distribution Research
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• v.11 no.1
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• pp.99-124
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• 2006

The purposes of the study are two-folds. First, it analyzes how factors other than price(e.g. delivery service, saving point policies, free gifts) impact total price for various products and different types of stores. Second, it analyzes how to increase market efficiencies through price level, price differences, and the frequency of price changes for different shops, various products and different types of transactions. By analyzing the price level within different types of stores, there found that prices at on-line store were lower than off-line shops. It also found price differences between pure on-line, hybrid, and off-line store. Comparing prices by product size, there found that pure on-line shops have a lower price compared to others. The results showed that on-line store had lower price variation compared to off-line shops. When comparing pure on-line store to hybrid store, hybrid store had lower price variation. In terms of the frequency of price changes, hybrid stores had higher price fluctuations. In terms of total price differences for delivery distances, pure on-line store had great price fluctuation, excluding cosmetic goods. In conclusion, if we consider price level and price fluctuations, on-line store had more efficiencies and was superior in terms of price effectiveness. Hybrid shops, on the other hand, had greater advantages for seasonal goods and dominant products. Therefore, market entry strategies should differ based on order quantity, type of store(pure on-line, hybrid, off-line), product characteristics(seasonality, product life), etc.

• The Journal of the Korea Contents Association
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• v.11 no.9
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• pp.506-514
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• 2011

The purpose of this study is to look into whether there is a possibility to develop the image of the local community in conjunction with green tourism, thus to explore the concrete ways to vitalize local community with diversified green tourism programs. In the pursuit of relating the research of community image-building with comprehensive local characteristics, this study selected the case of Jung Bang I village near Daejeon and analyzed the case through both written materials and on-site investigation. As a result of analysis, first, it was found that community image-building contributed positive effects in terms of the commercialization of the local community and its revitalization. Second, it was observed that community image-building led to form a "green route" that played a role as a passage to link townspeople to the country. It was also verified that those country villages that succeeded in image-building provided the places where people could experience the country and arts, which showed the potential of their roles as educational opportunities. In conclusion, this study will be able to suggest the direction to where the green tourism and image-building projects of the small communities near towns should go, and also provide a substantial guideline to related people regarding how to operate and maintain the local community.

• Journal of the Korean Society for Nondestructive Testing
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• v.35 no.5
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• pp.332-340
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• 2015

Acoustic emission (AE) is an effective nondestructive test that uses transient elastic wave generated by the rapid release of energy within a material to detect any further growth or expansion of existing defects. Over the past decades, because of environmental issues, the use of compressed natural gas (CNG) as an alternative fuel for vehicles is increasing because of environmental issues. For this reason, the importance and necessity of detecting defects on a CNG fuel tank has also come to the fore. The conventional AE method used for source location is highly affected by the wave speed on the structure, and this creates problems in inspecting a composite CNG fuel tank. Because the speed and dispersion characteristics of the wave are different according to direction of structure and laminated layers. In this study, both the conventional AE method and the energy based contour map method were used for source location. This new method based on pre-acquired D/B was used for overcoming the limitation of damage localization in a composite CNG fuel tank specimen which consists of a steel liner cylinder overwrapped by GFRP. From the experimental results, it is observed that the damage localization is determined with a small error at all tested points by using the energy based contour map method, while there were a number of mis-locations or large errors at many tested points by using the conventional AE method. Therefore, the energy based contour map method used in this work is more suitable technology for inspecting composite structures.

• Spatial Information Research
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• v.22 no.1
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• pp.35-43
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• 2014

The Triangle Mesh Warping method is suggested and applied in coordinate transformation to world geodetic system in this study. The common points of Uiwang city are used to compare the transformation accuracy of the suggested methods with existing national coordinate transformation methods. As a result, the Triangle Mesh Warping method was satisfied with accuracy criteria for positioning on a map larger than scale 1/1,000 with smaller number of common points and without distortion modeling. Additionally, in case of Guri and Pyeongtaek city that established the World Geodetic System, the suggested method generates the result of transformation accuracy better than 5cm. Based on the test, it was found that the suggested method improves the problem of securing many common points and reduces the problem of mis-match between the transformed data of adjacent areas. Accordingly, for transformation of large-scale topographic map, cadastral map, GIS DB and serial cadastral map to the World Geodetic System, it is judged that the Triangle Mesh Warping would be a good method for economical efficiency and accuracy using by minimum common point.

• Journal of the Korean Institute of Navigation
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• v.21 no.3
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• pp.1-18
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• 1997

From the beginning of 1990s , also in the shipping industry, especially liner shipping industry competition has been more intensive and difference of the service quality among shipping companies has been learned . On the other hand, a shipping company has some limitations to do its international mission for itself just by broadening service area. For this reason, the necessity for the global strategi alliance among the shipping companies, which is orginally aimed at sharing of facilities and organixation, has been developed. Through strategic alliance, liner shipping companies do not need to input the additional capitals to increase the material assets such as vessel capacity and spread the risk by the enlargement of the market. Also, they can secure the competitive edge through efficient utilizaton of assets. The purpose of strategic alliance of Hanjin Shipping Ltd., can be summarized as follows ; broadening of service area, cost reduction through vessel sharing, realization of rationalized shipping service by terminal and equipment or facilities sharing. Liner strategic alliances are agreement among liner companies to pol their equipment , andterminals for joint operations and services in which each alliance partner continues to serve its market using jointly operated or used inland feeders,inland terminals, port terminals, and mainline fleets of ship as well as joint pools of containers and equipment. Strategic alliances are generally more formal agreements than consortia and impose longer term and far reaching obligation on their members. It also acts as one in developing and advancing the strategic aims of the alliance members. The most important objective for liner strategic alliances is cost reduction and improvement in capital asset utilization. Main aims of strategic alliance drawn in this paper, can be enumerated follows : 1. improvements in service frequency and quality : 2. improvements in vessel and equipment utilization and thereby reductions in fixed and variable cost ; 3. improvements in market shares and high value cargo booking ; 4. reductions in intermodal storage and port terminal throughput costs ; 5. improvements in negotiating powers with ports and feeder transport providers ; 6. reduction in financial and other fixed costs such as insurance; 7. coordination and integration of MIS and EDI systems and service for greater efficiency and market penetration ; and, 8. improvements in logistic chain management and economic of scale by equipment depot, terminal, and vessel sharing.

• Cartoon and Animation Studies
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• s.45
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• pp.367-396
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• 2016

As an animation educator at Mahidol University International College, Bangkok, for eight years I have been in a privileged position to be educating a small section of a new generation of Thai animators. Thailand has had little animation experimentation of their own and pre-internet had limited access to such diversity so I have attempted to bring some of the wealth of animation history, in particular British and European, as this is my background, into the classroom. In particular my teaching aim has been to introduce various possibilities to the choices of medium, styles and textual narratives that early (and current) experimental and independent animators have explored. Since the release of the first commercial feature film, Khun Kluay 2006, the Thai animation industry has gone through various highs and lows in the commercial sector, building a skilled workforce, many of whom trained and worked abroad then returned. Now there is strong evidence of an independent animation starting to emerge. In a continuation to my research on Thai Animation this paper will analyze selected independent works in more detail, exploring the themes, style and technology used. Whilst also acknowledging the possible mis- interpretation as that this is coming from the perspective of an outsider whose cultural language and interpretation may transcend the creators' given experiences and add alternative interpretation. The aim will be to contextualize the content, ideas and cultural perspective and bring more Thai works into the gaze of animation studies academics

• Bulletin of the Korean Chemical Society
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• v.32 no.1
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• pp.263-272
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• 2011

Highly luminescent and monodisperse InP quantum dots (QDs) were prepared by a non-organometallic approach in a non-coordinating solvent. Fatty acids with well-defined chain lengths as the ligand, a non coordinating solvent, and a thorough degassing process are all important factors for the formation of high quality InP QDs. By varying the molar concentration of indium to ligand, QDs of different size were prepared and their absorption and emission behaviors studied. By spin-coating a colloidal solution of InP QD onto a silicon wafer, InP QD thin films were obtained. The thickness of the thin films cured at 60 and $200^{\circ}C$ were nearly identical (approximately 860 nm), whereas at $300^{\circ}C$, the thickness of the thin film was found to be 760 nm. Different contrast regions (A, B, C) were observed in the TEM images, which were found to be unreacted precursors, InP QDs, and indium-rich phases, respectively, through EDX analysis. The optical properties of the thin films were measured at three different curing temperatures (60, 200, $300^{\circ}C$), which showed a blue shift with an increase in temperature. It was proposed that this blue shift may be due to a decrease in the core diameter of the InP QD by oxidation, as confirmed by the XPS studies. Oxidation also passivates the QD surface by reducing the amount of P dangling bonds, thereby increasing luminescence intensity. The dielectric properties of the thin films were also investigated by capacitance-voltage (C-V) measurements in a metal-insulator-semiconductor (MIS) device. At 60 and $300^{\circ}C$, negative flat band shifts (${\Delta}V_{fb}$) were observed, which were explained by the presence of P dangling bonds on the InP QD surface. At $300^{\circ}C$, clockwise hysteresis was observed due to trapping and detrapping of positive charges on the thin film, which was explained by proposing the existence of deep energy levels due to the indium-rich phases.

• Journal of the Korean Data and Information Science Society
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• v.24 no.4
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• pp.803-813
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• 2013

The purchase of items in e-commerce is a little bit different from that of items in off-line. The recommendation of items in off-line is conducted by salespersons' recommendation, However, the item recommendation in e-commerce cannot be recommended by salespersons, and so different types of methods can be recommended in e-commerce. Recommender system is a method which recommends items in e-commerce. Preferences of customers who want to purchase new items can be predicted by the preferences of customers purchasing existing items. In the recommender system, the items with estimated high preferences can be recommended to customers. The algorithm of collaborative filtering is used in recommender system of e-commerce, and the list of recommended items is made by estimated values, and then the list is recommended to customers. The dataset used in this research are 100k dataset and 1 million dataset in Movielens dataset. Similar results in two dataset are deducted for generalization. To suggest a new algorithm, distribution features of estimated values are analyzed by the existing algorithm and transformed algorithm. In addition, respondent'distribution features are analyzed respectively. To improve the collaborative filtering algorithm in neighborhood recommender system, a new algorithm method is suggested on the basis of existing algorithm and transformed algorithm.

• Journal of Cadastre & Land InformatiX
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• v.50 no.1
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• pp.75-85
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• 2020

This study examines machine learning cross-validation to utilized create ROI for classification of land cover. The study area located in Sejong and one KOMPSAT-3A image was used in this analysis: procedure on October 28, 2019. We used four bands(Red, Green, Blue, Near infra-red) for learning cross validation process. In this study, we used K-fold method in cross validation and used SVM kernel type with cross validation result. In addition, we used 4 kernels of SVM(Linear, Polynomial, RBF, Sigmoid) for supervised classification land cover map using extracted ROI. During the cross validation process, 1,813 data extracted from 3,500 data, and the most of the building, road and grass class data were removed about 60% during cross validation process. Based on this, the supervised SVM linear technique showed the highest classification accuracy of 91.77% compared to other kernel methods. The grass' producer accuracy showed 79.43% and identified a large mis-classification in forests. Depending on the results of the study, extraction ROI using cross validation may be effective in forest, water and agriculture areas, but it is deemed necessary to improve the distinction of built-up, grass and bare-soil area.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.1-14
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• 2014

Both researchers and practitioners are showing an increased interested in interactive exhibition services. Interactive exhibition services are designed to directly respond to visitor responses in real time, so as to fully engage visitors' interest and enhance their satisfaction. In order to install an effective interactive exhibition service, it is essential to adopt intelligent technologies that enable accurate estimation of a visitor's emotional state from responses to exhibited stimulus. Studies undertaken so far have attempted to estimate the human emotional state, most of them doing so by gauging either facial expressions or audio responses. However, the most recent research suggests that, a multimodal approach that uses people's multiple responses simultaneously may lead to better estimation. Given this context, we propose a new multimodal emotional state estimation model that uses various responses including facial expressions, gestures, and movements measured by the Microsoft Kinect Sensor. In order to effectively handle a large amount of sensory data, we propose to use stratified sampling-based MRA (multiple regression analysis) as our estimation method. To validate the usefulness of the proposed model, we collected 602,599 responses and emotional state data with 274 variables from 15 people. When we applied our model to the data set, we found that our model estimated the levels of valence and arousal in the 10~15% error range. Since our proposed model is simple and stable, we expect that it will be applied not only in intelligent exhibition services, but also in other areas such as e-learning and personalized advertising.