• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.139-161
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• 2019

The utilization of the e-commerce market has become a common life style in today. It has become important part to know where and how to make reasonable purchases of good quality products for customers. This change in purchase psychology tends to make it difficult for customers to make purchasing decisions in vast amounts of information. In this case, the recommendation system has the effect of reducing the cost of information retrieval and improving the satisfaction by analyzing the purchasing behavior of the customer. Amazon and Netflix are considered to be the well-known examples of sales marketing using the recommendation system. In the case of Amazon, 60% of the recommendation is made by purchasing goods, and 35% of the sales increase was achieved. Netflix, on the other hand, found that 75% of movie recommendations were made using services. This personalization technique is considered to be one of the key strategies for one-to-one marketing that can be useful in online markets where salespeople do not exist. Recommendation techniques that are mainly used in recommendation systems today include collaborative filtering and content-based filtering. Furthermore, hybrid techniques and association rules that use these techniques in combination are also being used in various fields. Of these, collaborative filtering recommendation techniques are the most popular today. Collaborative filtering is a method of recommending products preferred by neighbors who have similar preferences or purchasing behavior, based on the assumption that users who have exhibited similar tendencies in purchasing or evaluating products in the past will have a similar tendency to other products. However, most of the existed systems are recommended only within the same category of products such as books and movies. This is because the recommendation system estimates the purchase satisfaction about new item which have never been bought yet using customer's purchase rating points of a similar commodity based on the transaction data. In addition, there is a problem about the reliability of purchase ratings used in the recommendation system. Reliability of customer purchase ratings is causing serious problems. In particular, 'Compensatory Review' refers to the intentional manipulation of a customer purchase rating by a company intervention. In fact, Amazon has been hard-pressed for these "compassionate reviews" since 2016 and has worked hard to reduce false information and increase credibility. The survey showed that the average rating for products with 'Compensated Review' was higher than those without 'Compensation Review'. And it turns out that 'Compensatory Review' is about 12 times less likely to give the lowest rating, and about 4 times less likely to leave a critical opinion. As such, customer purchase ratings are full of various noises. This problem is directly related to the performance of recommendation systems aimed at maximizing profits by attracting highly satisfied customers in most e-commerce transactions. In this study, we propose the possibility of using new indicators that can objectively substitute existing customer 's purchase ratings by using RFM multi-dimensional analysis technique to solve a series of problems. RFM multi-dimensional analysis technique is the most widely used analytical method in customer relationship management marketing(CRM), and is a data analysis method for selecting customers who are likely to purchase goods. As a result of verifying the actual purchase history data using the relevant index, the accuracy was as high as about 55%. This is a result of recommending a total of 4,386 different types of products that have never been bought before, thus the verification result means relatively high accuracy and utilization value. And this study suggests the possibility of general recommendation system that can be applied to various offline product data. If additional data is acquired in the future, the accuracy of the proposed recommendation system can be improved.

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.7
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• pp.454-461
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• 2007

Portable embedded systems have recently become smaller in size and offer a variety of junctions for users. These systems require high performance processors to handle the many functions and also a small battery to fit inside the system. However, due to its size, the battery life has become a major issue. It is important to have both efficient power design and management for each function, while optimizing processor voltage and clock frequency in order to extend the battery life of the system. In this paper, we calculated the efficiency of power in optimizing power rail. This system has two microprocessors. One is used to play music and movie files while the other is for DMB. In order to reduce power consumption, the DMB microprocessor is turned of while music or videos are played. Lastly, DVFS is applied to the processor in the system to reduce power consumption. Experimental results of the implemented system have resulted in reduced power consumption.

• Archives of design research
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• v.17 no.2
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• pp.15-22
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• 2004

Recent complex visual culture is the visual world widely magnified according to the images like image, graphics, photograph, movie, and television, etc. by the development of digital technology. Because it conveys meanings and contents inserting sound and letters, it may have multimedia character conveying and communicating information beyond general language and letters. The vision for various images at that time is inseparably connected with language. And imaginative order of image and vision are composed of special way in culture and history. Language is different in society, culture, and history. Accordingly, if visual experience is communicated with language partially, it is difficult to have university. So, role of linguistic order plays an important role in forming and defining the social and cultural differences among the visual systems. Historically various visual and optical devices with this visual language have influenced a lot. These visual technologies are concrete and physical practice determining a way to get together with the subject and the visible object in the visible world. The visual language is connected with dimension like these symbols of images and the dimension like visual technologies to series of historical physical and institutional practices. It determines social visual mode toward object world in one of visual system. Accordingly, this study is to understand visual language with social and historical character according to the changed concept and characters as development of media technology. And it is to explain it in view of visual language as a dimension of symbol and visual technology of institutional and physical practice. After all, it cannot explain the effect on the function and visual mode of visual technology as its technical element only. It also cannot separate with the practice with coherent discourse and the physical and institutional practice. The possibility, technical element of technology contains, does not realize as it is but the effect is always communicated in the social veins and realized with a restriction.

• Journal of Korea Multimedia Society
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• v.10 no.10
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• pp.1310-1318
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• 2007

First of all, What was the modeling technique used to model 3D-Game character? It's a technique developed along several years, by experience... here is the bases Low polygons characters I always work in low polygon for two reasons -You can easily modify a low-poly character, change shapes, make morph for facial expressions etc -You can easily animate a low-poly character When the modeling is finished, Second, In these days, Computer hardware technologies have been bring about that expansion of various 3D digital motion pictured information and development. 3D digital techniques can be used to be diversity in Animation, Virtual-Reality, Movie, Advertisement, Game and so on. Besides, as computing power has been better and higher, the development of 3D Animations and Character are required gradually. In order to satisfy the requirement, Research about how to make 3D Game modeling that represents Character's emotions, sensibilities, is beginning to set its appearance. 3D characters in 3D Games are the core for the communications of emotion and the informations through their facial expression and characteristic motions, Sounds to Users. All concerning about 3D motion and facial expression are getting higher with extension of frequency in use. Therefore, in this study we suggest the effective method of modeling for 3D character and which are based on 2D Graphics.

• Journal of Broadcast Engineering
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• v.15 no.6
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• pp.723-730
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• 2010

Recently, diverse 3D image processing technologies have been applied in industries. Among them, stereoscopic conversion is a technology to generate a stereoscopic image from a conventional 2D image. The technology can be applied to movie and broadcasting contents and the viewer can watch 3D stereoscopic contents. Further the stereoscopic conversion is required to be applied to other fields. Following such trend, the aim of this paper is to apply the stereoscopic conversion to medical fields. The medical images can deliver more detailed 3D information with a stereoscopic image compared with a 2D plane image. This paper presents a novel methodology for converting a 2D medical image into a 3D stereoscopic image. For this, mean shift segmentation, edge detection, intensity analysis, etc are utilized to generate a final depth map. From an image and the depth map, left and right images are constructed. In the experiment, the proposed method is performed on a medical image such as CT (Computed Tomograpy). The stereoscopic image displayed on a 3D monitor shows a satisfactory performance.

• Journal of Broadcast Engineering
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• v.19 no.4
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• pp.453-467
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• 2014

A typical histogram equalization contrast enhancement effect for improving the image quality is excellent. However, because it appears that excessive changes of the brightness values, The average brightness of the image is changing in units of frames of applications such as a TV video is unsuitable. In order to solve these drawbacks, a modified method of histogram equalization on various studies have been made. But the result images of existing methods sometimes shown visual degradations such as over-enhancement and false contouring. In this paper, we propose improved contrast enhancement method through bi-histogram equalization using target mean brightness based on differential compression method. The proposed method is based on the average brightness value by dividing the histogram, the histogram for each zone, according to the frequency differential of compression. And equalize the modified histogram based on target mean brightness. This allows to suppress deterioration of picture quality, and changes in the average brightness of each frame of video, while maintaining and improving the contrast. Experimental results show that the proposed method compared to the conventional method, the average brightness of each frame from a movie well maintained, and no degradation of the image quality showed a good effect to improve the contrast.

• The Journal of the Korea Contents Association
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• v.16 no.2
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• pp.643-651
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• 2016

This study considers the value of English-language films as material for learning a foreign tongue using posh discourse. In daily life, when we decline an invitation or convey unpleasant information to a listener, we use polite expressions; we are careful with our words. English language learners need to learn polite expressions in order to interact peacefully with others; doing so can minimize conflict, which is inherent in social relationships. This study uses the British drama Downton Abbey, which is about aristocracy. This study analyzes the posh discourse used in Downton Abbey and insists that students need to learn it explicitly. It is important to learn the polite expressions of this authentic drama in a real classroom. This study suggests that students work in groups to create a short video, and to try to understand the characters' personalities. Movies, TV dramas, and sitcoms provide great content that shows the various functions of the language that students want to learn. As a source of learning material, film can help improve students' motivation and interest in learning a foreign language.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.31 no.4
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• pp.259-267
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• 2013

GIS-based web map service is all the more accessible to the public. Among others, location query services are most frequently utilized, which are currently restricted to only one keyword search. Although there increases the demand for the service for querying multiple keywords corresponding to sequential activities(banking, having lunch, watching movie, and other activities) in various locations POI, such service is yet to be provided. The objective of the paper is to develop the k-IPS algorithm for quickly and accurately querying multiple POIs that internet users input and locating the search outcomes on a web map. The algorithm is developed by utilizing hierarchical tree structure of $R^*$-tree indexing technique to produce overlapped geometric regions. By using recursive $R^*$-tree index based spatial join process, the performance of the current spatial join operation was improved. The performance of the algorithm is tested by applying 2, 3, and 4 multiple POIs for spatial query selected from 159 keyword set. About 90% of the test outcomes are produced within 0.1 second. The algorithm proposed in this paper is expected to be utilized for providing a variety of location-based query services, of which demand increases to conveniently support for citizens' daily activities.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.11
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• pp.797-809
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• 2006

To support the QoS streams for large scale clients, the internal resources of VOD servers should be utilized based on the characteristics of the streaming media service. Among the various resources in the server, the main memory is used for the buffer space to the media data loaded from the disks and the buffer hit ratio has a great impact upon the server performance. However, if the buffer data with high hit ratio are replaced for the new media data as a result of the number of clients and the required movie titles are increased, the negative impact on the scalability of server performance is occurred. To address this problem, the buffer replacement policy considers the intrinsic characteristics of the streaming media such as the sequential access to large volume data and the highly disproportionate preference to specific movies. In this paper, the preference-based segment buffer replacement policy is proposed in the cluster-based VOD server to exploit the characteristics of the streaming media. Since the proposed method reflects both the temporal locality by the clients' preference and the spatial locality by the sequential access to media data, the buffer hit ratio would be improved as compared to the existing buffer replacement policy. The enhanced buffer hit ratio causes the fact that the performance scalability of the cluster-based VOD server is linearly improved as the number of cluster nodes is increased.

• Culinary science and hospitality research
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• v.21 no.4
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• pp.309-324
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• 2015

The foodservice industry is applying new marketing strategies, and advertisements are the best way to convey their distinctive brand images. The foodservice companies have been choosing a type of advertising called Product Placement(PPL) because it is unconsciously shown more often than other types of advertisements while customers are watching a movie or TV drama. Therefore, the aims of this research were to investigate the influence of the customers' perception of PPL inserted into TV dramas on brand image and purchasing intention. Additionally, present study performed to identify the differences between Korean and Chinese customers. For the survey, the study used both offline and online sampling methods, and the analyzed data was from 150 Korean and 150 Chinese respondents. As results, the more respondents were positive and familiar about PPL, the higher the brand image and purchasing intention. Chinese consumers had positive perception of PPL, which positively influenced the brand image and purchasing intention while Korean consumers' ethical awareness about PPL had a negative influence. Therefore, the Korean foodservice industry needs to differentiate the strategies for the PPL marketing between the Korean and Chinese market.