• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.20 no.4
• /
• pp.155-164
• /
• 2020

This study measured the effect of PPL(Product Placement: PPL) in OTT(Over The Top) to search a new advertising revenue model according to the change of viewers' video content consumption patterns. On the first, by two research steps, the experiment was carried out using an eye-tracker and then a survey as the second step was administered asking subjects about their attitude about advertising messages, attitude about brand, and intention to purchase the brands used in the experiments. Specifically, the PPL materials used in the experiments were classified with three parts. This study has the meaning as approaching to the PPL research with new methodology by quantitatively access through the eye tracking of the subjects beyond the conventional qualitative measure that depends only on the memory of them. This research aims to find the possibility of indirect advertising as a new revenue model in the OTT environment.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.26 no.4
• /
• pp.113-124
• /
• 1999

The purpose of this study is to search into the relation between the chinese seclusion culture and the gentleman's gardens by means of the historical and aesthetic approach. The periodic limits of this study is from pre-Qin to Tand. For gentleman's gardens in Tang dynasty at once got out of the noble's gardens which had imitated the imperial gardens until Tang, and became the origin of the gardens of the literati appearing in post-Tang dynasty. The major findings are as follows : First, in pre-Qin period, the origin of the seclusion culture is classified as the metaphysical seclusion of Taoism and the physical seclusion of Confucianism. Although Pu, Yuan, and Uou which could be said the first step of the chinese gardens were inquired, the clear relation between the seclusion and them is not found. Second, during Qin-Han dynasty, the role of the gardens, as the settings of the seclusion, are comparatively minor, too. But uan Kuang-Han's garden considerably escaped from that of pre-Qin in the aspect of function, and it has the characteristics of recreation. Third, during Wei-Chin and Liu dynasty, two types of the seclusions emerged. One is the small seclusion, and the other the Great Seclusion. Though, as formerly, the contemporary gardens did not escaped from the imperial gardens, Shi Chong's garden can be the setting of the Court Seclusion. But the seven Righteous in Bamboos' and Tao Yuan-Ming's settings of the seclusion were real natural environments rather than gardens. Forth, in Tang dynasty, in spite of relatively low status, Bai Ju-Yi's theory of the middle Seclusion enabled gentlemen to make seclusion in sinecures unlike the court Seclusion. The theoretical background of the Middle Seclusion was Zen Buddhism and the State Examinations System and Bai Ju-Yi's private social position also had an important effect on it. In Tang dynasty, there being nobiliary gentleman's gardens, Bai Ju-Yi's garden, Lushan Caotangyuan, was the setting of the Middle Seclusion. It can be called a real gentleman's garden, for it is simple and small unlike the imperial gardens or the nobiliary gentleman's gardens.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.64 no.3
• /
• pp.458-464
• /
• 2015

This paper proposes a portable 3-D scanning technique using a laser pointer. 3-D scanning is a process that acquires surface information from an 3-D object. There have been many studies on 3-D scanning. The methods of 3-D scanning are summarized into some methods based on multiple cameras, line lasers, and light pattern recognition. However, those methods has major disadvantages of their high cost and big size for portable appliances such as smartphones and digital cameras. In this paper, a 3-D scanning system using a low-cost and small-sized laser pointer are introduced to solve the problems. To do so, we propose a 3-D localization technique for a laser point. The proposed method consists of two main parts; one is a fast recognition of input images to obtain 2-D information of a point laser and the other is calibration based on the least-squares technique to calculate the 3-D information overall. To verified our method, we carry out experiments. It is proved that the proposed method provides 3-D surface information although the system is constructed by extremely low-cost parts such a chip laser pointer, compared to existing methods. Also, the method can be implemented in small-size; thus, it is enough to use in mobile devices such as smartphones.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.27 no.3B
• /
• pp.226-236
• /
• 2002

In this paper, we present the channel assignment and management methods for an efficient use of traffic channel resource for supporting 12.2 Kbps, 64 Kbps, and 384 Kbps traffic with the different quality of service (QoS) in the radio network controller (RNC) in asynchronous IMT-2000 system. We first describe two types of traffic channel block assignments for utilizing the traffic channel efficiently; the partially dedicated and partially shared channel (PDPSC) assignment and the completely shared channel (CSC) assignment. The former is that some traffic channel block is completely assigned to each traffic type and the other blocks are shared with some traffic type. The latter is that all traffic channel blocks are completely shared with all traffic types. Further, for efficiently assigning, releasing, and managing the channel resource, we present the traffic channel management method which consists of the block and task management step. Through numerical examples, we evaluate the blocking probability and the mean number of required search for fading the available channel when applying our proposed channel block assignment and resource management methods.

• Journal of the Korea Society of Computer and Information
• /
• v.18 no.8
• /
• pp.43-52
• /
• 2013

The purpose of this paper is researching musical elements to analyze plagiarism between two sources. We first search digital music elements to analyze music source and examine how to use these in plagiarism analysis using compiler techniques. In addition we are used open source Java API JFugue to process complex MIDI music data simply. Therefore we designed music plagiarism analysis system by using MusicString which is supported in JFugue and construct AST after investigate MusicString's syntax processing elements to manipulate music plagiarism analysis efficiently. So far music plagiarism analysis is evaluated emotionally and subjectively. But this paper suggests first step to build plagiarism analysis systemically. If this research is well utilized, this is very meaningful to standardize systemically which music is plagiarized or not.

• Journal of the Regional Association of Architectural Institute of Korea
• /
• v.20 no.6
• /
• pp.41-46
• /
• 2018

The context of innovation in which we evolve today, subtracts us in a spacial reality and virtuality (digital) that aimed less and less to interact with natural processes which could converge to new possible relationships in the world. We constantly live in presence of fluctuations and imperceptible natural energies (wind, solar radiation, etc.) defined by flows, their own physicality, which remains without being virtual, elusive. This study first outlines how these energies already exploited within the framework of production, could be thought as interactive of our habitat's space dimension, as a prolongation of a physical and material environment built by men and for men, giving rise to new social, cultural dynamics, and making natural complexity of our space vivid, comprehensible with new visual and physical clues. In recent days, where lifestyles are changing, architecture no longer needs to limit its scope of creation to only built structures. Based on a deeper understanding of human and through new potential advanced technologies (kinetic system, etc), it is time to fundamentally diagnose what environments or devices contribute to our lives. Architecture becomes ${\ll}interface{\gg}$, step up its fundamental role, and newly defines the sturdy image and tectonics of existing environment, establishing a stance to search for a new typology. In the end, building will show two simultaneous and distinctive connections related to its physical existence: reality in its function and irreductibility, in its ability to forge new dynamic connections with its environment, hybridizing the spatial dimension to a new form of physicality, adaptive and incessantly flexible in the dimension time, becoming a vessel for ever changing contemporary lifestyles.

• Journal of the Korea Society of Computer and Information
• /
• v.14 no.4
• /
• pp.179-187
• /
• 2009

Most real world systems contain a series of dynamic and complex phenomena. One of common methods to understand these systems is to build a model and analyze the behavior of them. A two-step methodology comprised of clustering and then model creation is proposed for the analysis on time series data. An interface is designed for CRM(Customer Relationship Management) that provides user with 1:1 customized information using system modeling. It was confirmed from experiments that better clustering would be derived from model based approach than similarity based one. Clustering is followed by model creation over the clustered groups, by which future direction of time series data movement could be predicted. The effectiveness of the method was validated by checking how similarly predicted values from the models move together with real data such as stock prices.

• The KIPS Transactions:PartB
• /
• v.10B no.7
• /
• pp.743-750
• /
• 2003

In this paper, we propose a query expansion and weighting method for document filtering to increase precision of the result of Web search engines. Query expansion for document filtering uses ConceptNet, encyclopedia and documents of 10% high similarity. Term weighting method is used for calculation of query-documents similarity. In the first step, we expand an initial query into the first expanded query using ConceptNet and encyclopedia. And then we weight the first expanded query and calculate the first expanded query-documents similarity. Next, we create the second expanded query using documents of top 10% high similarity and calculate the second expanded query- documents similarity. We combine two similarities from the first and the second step. And then we re-rank the documents according to the combined similarities and filter off non-relevant documents with the lower similarity than the threshold. Our experiments showed that our document filtering method results in a notable improvement in the retrieval effectiveness when measured using both precision-recall and F-Measure.

• Journal of Intelligence and Information Systems
• /
• v.20 no.2
• /
• pp.137-148
• /
• 2014

Recommender system has become one of the most important technologies in e-commerce in these days. The ultimate reason to shop online, for many consumers, is to reduce the efforts for information search and purchase. Recommender system is a key technology to serve these needs. Many of the past studies about recommender systems have been devoted to developing and improving recommendation algorithms and collaborative filtering (CF) is known to be the most successful one. Despite its success, however, CF has several shortcomings such as cold-start, sparsity, gray sheep problems. In order to be able to generate recommendations, ordinary CF algorithms require evaluations or preference information directly from users. For new users who do not have any evaluations or preference information, therefore, CF cannot come up with recommendations (Cold-star problem). As the numbers of products and customers increase, the scale of the data increases exponentially and most of the data cells are empty. This sparse dataset makes computation for recommendation extremely hard (Sparsity problem). Since CF is based on the assumption that there are groups of users sharing common preferences or tastes, CF becomes inaccurate if there are many users with rare and unique tastes (Gray sheep problem). This study proposes a new algorithm that utilizes Social Network Analysis (SNA) techniques to resolve the gray sheep problem. We utilize 'degree centrality' in SNA to identify users with unique preferences (gray sheep). Degree centrality in SNA refers to the number of direct links to and from a node. In a network of users who are connected through common preferences or tastes, those with unique tastes have fewer links to other users (nodes) and they are isolated from other users. Therefore, gray sheep can be identified by calculating degree centrality of each node. We divide the dataset into two, gray sheep and others, based on the degree centrality of the users. Then, different similarity measures and recommendation methods are applied to these two datasets. More detail algorithm is as follows: Step 1: Convert the initial data which is a two-mode network (user to item) into an one-mode network (user to user). Step 2: Calculate degree centrality of each node and separate those nodes having degree centrality values lower than the pre-set threshold. The threshold value is determined by simulations such that the accuracy of CF for the remaining dataset is maximized. Step 3: Ordinary CF algorithm is applied to the remaining dataset. Step 4: Since the separated dataset consist of users with unique tastes, an ordinary CF algorithm cannot generate recommendations for them. A 'popular item' method is used to generate recommendations for these users. The F measures of the two datasets are weighted by the numbers of nodes and summed to be used as the final performance metric. In order to test performance improvement by this new algorithm, an empirical study was conducted using a publically available dataset - the MovieLens data by GroupLens research team. We used 100,000 evaluations by 943 users on 1,682 movies. The proposed algorithm was compared with an ordinary CF algorithm utilizing 'Best-N-neighbors' and 'Cosine' similarity method. The empirical results show that F measure was improved about 11% on average when the proposed algorithm was used