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Über dieses Buch

This volume constitutes the refereed proceedings of the International Conferences, BSBT, MulGraB and IUrC 2012, held as part of the Future Generation Information Technology Conference, FGIT 2012, Gangneung, Korea, in December 2012. The papers presented were carefully reviewed and selected from numerous submissions and focus on the various aspects of multimedia, computer graphics and broadcasting, bio-science and bio-technology, and intelligent urban computing.



Semantic Description and Recognition of Human Body Poses and Movement Sequences with Gesture Description Language

In this article we introduce new approach for human body poses and movement sequences recognition. Our concept is based on syntactic description with so called Gesture Description Language (GDL). The implementation of GDL requires special semantic reasoning module with additional heap-like memory. In the following paragraphs we shortly describes our initial concept. We also present software and hardware architecture that we created to test our solution and very promising early experiments results.

Tomasz Hachaj, Marek R. Ogiela

Core-Shell Detection in Images of Polymer Microbeads

Microbeads of various size with complex core-shell structures are widely used in many applications such as drug delivery. During synthesis, it is important to characterize the beads’ size such that uniform properties can be obtained from uniform size. The core-shell structures can be imaged with SEM (scanning electron microscope) or TEM (transmission electron microscope) but there are no available methods to quantitatively analyze the size and distribution automatically. In this paper, we propose two automated core-shell detection methods using Hough transform and generalized Hough transform. We show the capabilities of these methods using OpenCV and compare the relative advantages and limitations.

Yeonggul Jang, Byunghwan Jeon, Yoojin Chung

A Gaussian Mixture Models Approach to Human Heart Signal Verification Using Different Feature Extraction Algorithms

In this paper the possibility of using the human heart signal feature for human verification is investigated. The presented approach consists of two different robust feature extraction algorithms with a specified configuration in conjunction with Gaussian mixture modeling. The similarity of two samples is estimated by measuring the difference between their negative log-likelihood of the features. To evaluate the performance and the uniqueness of the presented approach tests using a high resolution auscultation digital stethoscope are done for nearly 80 heart sound samples. The experimental results obtained show that the accuracy offered by the employed Gaussian mixture modeling reach up to 100% for 7 samples using the first feature extraction algorithm and 6 samples using the second feature extraction algorithm and varies with average 85%.

Rasha Wahid, Neveen I. Ghali, Hala S. Own, Tai-hoon Kim, Aboul Ella Hassanien

Design and Implementation of Real-Time Monitoring System Based on CPS for Telemedicine in Disaster Areas

In this paper, we design and implement a real-time monitoring system based on CPS (Cyber Physical System) for telemedicine in disaster areas where the infrastructure is destroyed. In this situation, our monitoring system relies on a wireless sensor network (WSN) in ad-hoc mode, which provides a very low data rate. There are several types of real-time traffic to transmit over the low-rate WSN: voice, bio data, and pictures of victims or disaster scenes. First, network quality is judged by the delay of voice packets. Also, priority is given to voice packets over bio data or pictures, because they are critical for telemedicine. Voice packet sampling is performed at intervals of 100ms, because voice packets must arrive at the receiving side in 100ms at least. According to the network quality, one image is segmented in a different size. As a result, real-time voice, bio data & segmented pictures can be transmitted in a low-rate WSN network in 100ms. Furthermore, the health diagnosis center is able to identify the site conditions. Through this study, if the system is applied to a real disaster situation, it will be effectively utilized for rescue activities by rescue workers.

Moonwon Choi, Jaesung Lee, Inwhee Joe

High-Capacity Blind Binary Text Document Watermarking Scheme Robust to Print-and-Scan Operations

An algorithm of high-capacity blind text watermarking is presented that is robust to print-and-scan operations. First, binary images of Chinese text characters are segmented depends on the complexity of the characters: each character image is segmented to embedded part, adjust part, and dislodge part. After segmentation, a quantization function is built on the basis of invariables during printing-scanning. The watermark is embedded via the strategy of flipping pixels at the characters boundaries. This method exploits human visual masking characteristics to reduce the distortion degree in the text image. Experimental results indicate that the method is robust to common attacks and the watermark can be extracted without original document.

De Li, Mo You, JongWeon Kim

A Study on the Subjectivity of Sensibility Quality Factors Affecting the Selection of the Smart-Phone

This study analyzed the sensitivity quality factors that are important in choosing smart-phone using PQ method of Q methodology. It was possible to find representative types such as sensibility focusing type, use-convenience focusing type and stability focusing type by the analysis. The discriminative sensibility focusing type thinks personality expression and social pride as important and this type prefers differentiation from others. The sensibility quality causes of sensibility focusing type are uniqueness, fun, curiosity, surprise, fashion, attracting others’ view, ostentation and emotional attachment. The use-convenience focusing type prefers convenience cumulated by personal experience. This type thinks the sensibility quality causes such as comfort, freedom, expandability and control of device as important. The stability focusing type prefers familiarity by use experience, attachment by intimacy and harmony with personal image as important. This type thinks the sensibility quality causes such as experience, habits, intimacy, conciseness and fun as important.

Young Ju Lee

A New Method for Tangerine Tree Flower Recognition

Different machine vision strategies are adapted for performing automated real time agricultural tasks in order to increase more productivity with less cost. Based on this notion, a new method is developed and implemented for detecting white color flowers in Tangerine tree and counting Tangerine fruit flowers to yield better outputs with regard to the existing schemes. Gaussian filter is employed to reduce unwanted noise in Tangerine tree flower recognition for Tangerine yield mapping system. It is observed that the newly developed method gives better valid output for tangerine tree flower detection in natural outdoor lighting, with different lighting condition without any alternative lighting source to control the luminance. The simulation result reveals that the new method is reliable, feasible and efficient compared to other existing methods.

Ulzii-Orshikh Dorj, Malrey Lee, Diyan-ul-Imaan

Quality Assessment of Sound Signals in Multimedia and Communication Systems

Assessing the perceptual quality of speech and audio signals is an important consideration in multimedia networks and devices. This paper constitutes an introduction to the standardized speech and audio quality assessment methods in ITU recommendations and other international organizations. A brief survey on the subjective and objective quality evaluation methods for the speech and the audio is provided. Recent developments as well as new topics for future developments are also outlined.

Wongeun Oh, Sung-Keun Lee

A Study on the Generation of Artificial Fish’s Behavior Using Elasticity Force

Objects can interact with each other in accordance with the events considering certain conditions. However, to express the interactive behaviors, the event conditions and behavioral patterns need to correspond with each other almost on a one-to-one basis. Thus, if the number of patterns which have been already defined is insufficient, the realistic actions cannot be accomplished and the event conditions to be considered increase for the expression of diverse behavioral patterns, which will in turn increase the complexity of the whole system. Thus, this study suggests a new method which will facilitate more realistic expression of artificial fishes and the creation of diverse behavioral patterns for one evasion event by applying a physical approach utilizing elastic momentum and using variable multi-sensors.

Chong Han Kim, Seung Moon Jeong, Im Chul Kang, Byung Ki Kim

A Software Implementation for Quality Management of Mobile VoIP Services

This paper proposes a new quality management scheme for the successful deployment of the mobile voice over internet protocol (VoIP) service. The proposed scheme can support the quality monitoring by measurement at any time with a software installed at every user terminal. As the first step toward the proposed scheme, a software is developed to measure the quality of the mobile VoIP service. The reliability of the developed software is verified by experiments in which the measurement results are compared between the developed software and the commercial proven softwares.

Chin-Chol Kim, Beomjoon Kim

Evaluation of User Sensibility Experience by Comparing the Product Use

This study drew user sensibility experience causes in the three dimensions of usability, perception and stimulation from smart-phone users who do not have use experience of I-Phone 4 or Galaxy S2. There were 10 cause factors that have impact on the sensibility experience of smart-phone users. They were; usefulness, ease of use, shortening capability, intuitive, orderly, similarity, aesthetic, difference, sensibility and fun. Among them, six causes had significant differences between the users of I-Phone 4 and Galaxy S2. These six causes were; usefulness, ease of use, intuitive, orderly, aesthetic and sensibility. Galaxy S2 received higher evaluation in usefulness, ease of use and sensibility. On the other hand, I-Phone received higher evaluation in intuitive, orderly and aesthetic.

Young Ju Lee

Better Decision Tree Induction for Limited Data Sets of Liver Disease

Decision trees can be very useful data mining tools for human experts to diagnose the disease, because the knowledge structure is represented in tree shape. But we may not get satisfactory decision tree, if we do not have enough number of consistent instances in the data sets. Recently two kinds of relatively small data sets of liver disorder from America and India are available, so in order to generate more accurate and useful decision trees for the disease this paper suggests appropriate sampling for the data instances that are in the class of higher error rate. Experiments with the two public domain data sets and a representative decision tree algorithm, C4.5, shows very successful results.

Hyontai Sug

Expert System Based on Neural-Fuzzy Rules for Thyroid Diseases Diagnosis

The thyroid, an endocrine gland that secretes hormones in the blood, circulates its products to all tissues of the body, where they control vital functions in every cell. Normal levels of thyroid hormone help the brain, heart, intestines, muscles and reproductive system function normally. Thyroid hormones control the metabolism of the body. Abnormalities of thyroid function are usually related to production of too little thyroid hormone (hypothyroidism) or production of too much thyroid hormone (hyperthyroidism). Therefore, the correct diagnosis of these diseases is very important topic. In this study, Linguistic Hedges Neural-Fuzzy Classifier with Selected Features (LHNFCSF) is presented for diagnosis of thyroid diseases. The performance evaluation of this system is estimated by using classification accuracy and k-fold cross-validation. The results indicated that the classification accuracy without feature selection was 98.6047% and 97.6744% during training and testing phases, respectively with RMSE of 0.02335. After applying feature selection algorithm, LHNFCSF achieved 100% for all cluster sizes during training phase. However, in the testing phase LHNFCSF achieved 88.3721% using one cluster for each class, 90.6977% using two clusters, 91.8605% using three clusters and 97.6744% using four clusters for each class and 12 fuzzy rules. The obtained classification accuracy was very promising with regard to the other classification applications in literature for this problem.

Ahmad Taher Azar, Aboul Ella Hassanien, Tai-hoon Kim

Texture Feature Extraction and Classification by Combining Statistical and Neural Based Technique for Efficient CBIR

This paper presents a technique based on statistical and neural feature extractor, classifier and retrieval for real world texture images. The paper is presented into two stages, texture image pre-processing includes downloading images, normalizing into specific rows and columns, forming non-overlapping windows and extracting statistical features. Co-occrance based statistical technique is used for extracting four prominent texture features from an image. Stage two includes, feeding of these parameters to Multi-Layer Perceptron (MLP) as input and output. Hidden layer output was treated as characteristics of the patterns and fed to classifier to classify into six different classes. Graphical user interface was designed to pose a query of texture pattern and retrieval results are shown.

Siddhivinayak Kulkarni, Pradnya Kulkarni

Towards Efficient Security Services in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are infrastructure-less and fully distributed systems of self-configurable and self-organizing nodes that wish to exchange information over the air. Security in WSN is challenging, because of its special characteristics, and due to the scarcity of energy and processing power. Many WSN scenarios demand authentication, confidentiality and integrity services. In this paper, we introduce a framework to address these main security services based on a special protocol that integrates public key and symmetric key algorithms to ensure optimal usage of sensors’ energy and processing power, and provide adequate security. The proposed framework utilizes Elliptic Curve Cryptography (ECC) and AES to achieve a reasonable tradeoff.

Mohammed Faisal, Jalal Al Muhtadi, Abdullah Al-Dhelaan

Ubiquitous Monitoring System for Critical Cardiac Abnormalities

In many critical cardiac abnormalities, it is desirable to have a monitoring system that can keep a constant surveillance on the conditions of the heart and its related patterns. This can be very convenient in clinical settings but may not be a possibility for individuals who are not in the hospital and are in their day-to-day activities. Wearable ECG-based systems have been proposed for such situations and can perform such monitoring in real life. However, detecting the abnormality in near-real-time is still a challenge in these systems. Similarly, what information should be relayed to the doctors or other care-givers and how soon this can be achieved is a very hot area of research at present. This paper presents a monitoring system that embeds an intelligent wearable data acquisition system with unique identification algorithms requiring very little computational time and simple threshold based classification. Once this is done, the related information is passed to a gateway system that can communicate the criticality flags as well as the actual ECG waveform data to the pre-defined data node that connects it to the doctor and/or other clinical representatives. We have used Android based cellphone for as the gateway. The morphological features of mobile devices and their use in our daily lives create an opportunity to connect medical informatics systems with the main stream. The presented system focuses on intelligent health monitoring with possible wearable application for long-term monitoring and updating in real-time about the patient’s ECG conditions to the physician.

Uvais Qidwai, Junaid Ahsenali Chaudhry, Mohamed Shakir, Robert G. Rittenhouse

A Study on the Java Compiler for the Smart Virtual Machine Platform

SVM(Smart Virtual Machine) is the virtual machine solution that supports various programming languages and platforms, and its aims are to support programming languages like ISO/IEC C++, Java and Objective-C and smart phone platforms such as Android and iOS. Various contents that developed by supported language on SVM can be execute on Android and iOS platforms at no additional cost, because the SVM has the platform independent characteristic by using SIL(Smart Intermediate Language) as an intermediate language. In this paper, we will introduce the Java compiler to support the contents written in Java language on SVM which generates platform independently stack-based SIL code as target code.

YunSik Son, YangSun Lee

Advanced Knowledge Sharing Strategies Based on Learning Style Similarity for Smart Education

The spread of the smart device has led collaborative technologies to valuable applications in developing educational content. Many electronic textbooks provide basic annotation features like sharable bookmarks, notes, highlighting and underlining. These user activities contain important information in the view of education such as user knowledge and students’ learning style. In this paper, we proposed annotation-content learning model to analyze learner’s annotating behavior on electronic textbooks. Based on the model, we also developed similarity algorithms to find other notes created by students who have similar learning style. The purpose of the proposed system is to encourage students to have their own online communities using smart tablets to pool their knowledge and share ideas and experiences. We also presented the evaluation indicating that the system improved students’ knowledge significantly.

Jae-Kyung Kim, Won-Sung Sohn, YangSun Lee

Efficient Emotional Factor Extraction Using Moving Average Filter in Digital Sound and LED Color

In this paper, as the fusion study of LED lighting and sound based on the emotion, we conducted this study for extraction of Emotional Factor based on LED lighting and sound. The sound received from a microphone through FFT and FIR filter extracts only useful frequency band. And the Emotional Factor possible to be extracted via a Moving Average Filter send data to serial output port. The Moving Average Filter takes an average at time axis. Also it is easy to extract Emotion Factor to maintain overall tendency of the data which strong at noise. We demonstrated the usefulness of the proposed system through the experiment.

Jaesang Cha, Seokkee Hong

Microprocessor Device to Control Lights Using LED Communications for Body Area Networks

As one of the attempt to energy saving, selective LED lighting control is considered to have many effects. It is possible to save energy through the on/off switching of lighting depending on someone needs or the focusing the lighting where the people is crowed. But, domestic LED lighting have many problem to use as individual lighting because most of the domestic LED lighting did not support individual control and variety lighting is only connected to one switch so it is need to additional wiring work. In this paper, we proposed the method of the individual lighting control system using VLC technique that easy to install and easy to usage. So it is expected to implement the system of individual lighting control and to avoid the difficulty of wiring.

Jaesang Cha, Soonho Jung, Choenil Park, Dongha Shim, Jason Yi, Hyeungkeun Yu, Junghoon Lee

The Study of Video Based Monitoring for PCB Assembly Line

Rework costs can occur because workers don’t perform the right unit process in specialization PCB assembly process. It is an important issue of assembly line management. This paper proposes an image processing method to decide a right working of unit process. And We implemented a video based monitoring system with our experimental system in labaratory and obtained reliable its results.

Jaesang Cha, Hyung-O Kim

A Study about Implementation of BcN Using WiFi/ZigBee in Smart Water Grid

In this paper, we propose the design and construction of Broadband Convergence Network(BcN) with WiFi and ZigBee combination to transmit sensor data in smart water grid. We collected sensor data to a broadband modem using ZigBee communication for integrated management server to transmit the sensor data values ​​used in the wastewater treatment plant. And then, we were built the system that transmitted collected sensor data real-time to the integration management server through WiFi communication. BcN with broadband modem improves the control capabilities the existing wastewater treatment plant. It is an efficient energy management is possible. Therefore, contribute to improve the energy efficiency of wastewater treatment plant is expected.

Jaesang Cha, Jintae Kim, Yongsik Kang

A Design for Sensibility Factor of Digital Sound and LED Sensibility Illumination Color

In this paper, we analyzed the characteristic of the visible lighting spectrum in LED emotional lighting and audible frequency of digital sound. And we proposed effective and intelligent emotional system better than existing matching system, it is based on matching scheme of similar factor in sound and LED lighting color. Also we demonstrated the usefulness of proposed system through the simulation and implementation, fabrication of SW/HW.

Jaesang Cha, Choenil Park, Seungyoun Yang, Juyoung Lee

Head Selection Scheme to Apply Location Information for Distributed Cluster Routing

In recent, Wireless Sensor Network related technologies are widely applied for various applications but efficient use of limited resources is still unsolved. Its typical study is a cluster-based routing protocol which forms clusters targeting sensor nodes, selects cluster heads and reduces the energy needed to communicate in order to maximize the network lifetime. But the existing cluster-based routing protocols such as LEACH, LEACH-C, HEED have a few problems like inequality of energy consumption due to a biased distribution of cluster heads, unnecessary energy consumption due to additional data transfer, and overhead problem due to remaining energy calculation and transfer. Therefore, this study proposes techniques for selecting the cluster head with use of the distance between the cluster components.

Jin-Han Kim, Young-Min Kim, Ryum-Duck Oh

Vehicle Detection Using Running Gaussian Average and Laplacian of Gaussian in the Nighttime

In this paper, we propose a nighttime vehicle detection algorithm using RGA (Gunning Gaussian Average) and LoG (Laplacian of Gaussian). At the first stage, background could be estimated using RGA from CCTV input image. At the next stage, 2-D LoG function applied to input image. And then “AND” operator could be applied between each other. Finally, threshold of headlight brightness could be supported to the output of AND operation. As the results of simulations using recoded real video signal, it is shown that proposed algorithm is useful for detection vehicles in the nighttime.

Hyuntae Kim, Jingyu Do, Gyuyeong Kim, Jangsik Park, Yunsik Yu

Real Time Crowdedness Estimation System

In this paper we have proposed a crowdedness estimation system at public areas where many people commute. We used the occupancy time to estimate the crowdedness per specific time duration. The estimated information is accumulated on database and will be used as statistical information.

Cheoljun Jeong, Kwangyoung Park, Gooman Park

Developing Ultrasonic Wave Oscillators Using Low Speed Analog to Digital Converter

The ultrasonic wave converter, digitally controlled, is designed by sampling the high frequency ultrasonic waves. The conventional ultrasonic circuit is composed of oscillation circuits in analog mode. The oscillation circuits can be categorized into two groups i.e., (1) the that generates the fixed frequency regardless of the change of the loads, (2) and the other that controls power and the frequency by changing the voltage and current following the oscillating conditions of oscillators. These circuits are used to fix the frequency of PLL (phase locked loop). The circuit that produces the fixed frequency should select the proper frequency and the power circuit to supply the operating currents. The circuit supplies the frequency with the range of resonance frequency (about the frequency of parallel resonance frequency or the frequency of minimum impedance) and the antiresonance frequency (parallel resonance frequency of maximum impedance).

Jeong-Jin Kang, Keehong Um, Sooyeup Yoo, Jong-Jin Park, Sang-Bong Park

Tour and Charging Scheduler Development Based on Simulated Annealing for Electric Vehicles

For a rent-a-car business employing electric vehicles which will penetrate into our transportation system in the near future, this paper designs a tour and charging scheduler and develops its search engine based on simulated annealing techniques. The main focus is put on the reduction of driving distance and waiting time taking advantage of sophisticated computer algorithms, to cope with the problem of current battery capacity. Cooling process runs 15,000 times while heating process is inserted every 1,000-th iteration step, permitting an evolution to an adjacent neighbor having higher cost. The performance measurement result obtained from a prototype implementation finds out that we can achieve about 87 % of accuracy when the number of destinations is less than 10 and 70 % of error points lie in the range from 0 to 20 %.

Byung-Jun Lee, Seulbi Lee, Dae-Yong Im, Hye-Jin Kim, Gyung-Leen Park, Junghoon Lee

Comparative Performance Analysis of Relocation Policies for Electric Vehicle Sharing Systems

This paper selects possible relocation scenarios for electric vehicle sharing systems and measures the service ratio through our analysis framework. The experiment exploits the actual trip records collected in a taxi telematics system in Jeju city area as future sharing demand. Its goals include testing the validity of the analysis framework for a sharing system design as well as discovering the behavioral characteristics in basic relocation policies to take into account when designing a new sophisticated relocation scheme. The sharing performance is measured for even, utilization-based, and morning-focused schemes based on the assumption that the relocation is carried out during the non-operation hours. The performance analysis results find out that it is useful to focus on the pick-up requests during the first few hours after the operation starts and that it is necessary to develop a prediction-based proactive relocation scheme to cope with request fluctuation in the airport area.

Junghoon Lee, Gyung-Leen Park, Dongwook Lee

Use-Case Driven Requirements Analysis for Context-Aware Systems

Context-awareness and context-aware systems have been getting popular but there have been only a few of researches on requirements analysis method for context-aware systems. In this paper, we propose a requirement elicitation method for context-aware systems. We contend that analysts should consider system platform, target users, and service intelligence as context related issues, and we also argue that they should gather and document context related issues during use case gathering process because context related information is very important in context-aware systems. Our work contributes to context-aware system field because we consider context information as first citizen of software engineering, so that users, analysts, and designers have some agreement on context-aware services.

Jongmyung Choi, Youngho Lee

Utilization of Local Cultural Resources Based on the Concept of Ecomuseum: Focused on Cheorwon, Gangwon Province

Cheorwon is a field of our history where military cultural relics as well as historical cultural assets are located as the capital of Taebong that took the world by storm. The DMZ near the city shows the possibility of the city as a good ecotourism site encompassing the historicity and clean image. Nevertheless, it cannot dispel the negative image resulted from the tension of armistice frontier, severely cold winter weather and the poverty of rural community. Accordingly, this study proposes a method to improve the image of the region by utilizing the cultural resources of Cheorwon based on the concept of eco-museum. Eco-museum which becomes theoretical base of the study is a new form of museum to make a whole area as a museum unlike conventional museums attracting audiences to the collections exhibited in the limited space. The ecomuseum will contribute to the activation of sustainable local economy.

Jin Young Kim, Jae Yeong Lee

The International Sculpture Symposium in Icheon as Local Cultural Values and a Possibility of Ecomuseum

The present study aims to investigate the local-cultural values of International Sculpture Symposium Icheon (ISSI) which is one of the cultural and art resources of the city and its suitability for an eco museum. Started in 1998, ISSI was annually hosted until 2012, for 15 years where popular sculptors have participated and left outstanding art works. However, the international event has not been systematically managed or even properly promoted. To address these problems, spreading recognition that the art works left by world-class artists who participated in the ISSI are the culture and resources of Icheon city was necessary. Also, city officials, citizens, local artists and experts should discuss improving the brand value of the city. The present study suggests diverse methods for managing cultural contents and discussed how to develop and implement a cultural contents-oriented ecomuseum. The present study is meaningful in that it contributes to the sustainable development of Ichoen city.

Eun Sok Bae, Sung Young Lee

A Cultural Environment Analysis and Use Proposal of HongDae Streets

Focused on Book Cafes

This study reviews the cultural characteristics of book cafés and suggests some methods to efficiently use city spaces such as book cafés. Why do publishing companies run book cafés of its own?: To meet with authors and readers as well as to promote their books. In other words, book cafés originally opened as a marketing strategy. But book cafés can be further developed to as a space with various cultural functions. Book cafés can offer more services for citizens and this study suggests that they should evolve to become a place for education and communication, as well as a place of multiple cultures.

Jun-Ran Choi, Dae-Geun Lim

Contextual Environments of DMZ Docs

The DMZ Korean International Documentary Film Festival is a film festival held in Paju which is the only demilitarized zone of a divided country in the world and at the same time a book city. DMZ is the only Demilitarized Zone in the world, where the reality of national division into North and South can be known. Cultural resources and context of DMZ are considered which is foundation of DMZ DOCS contents. The value of DMZ and the context of DMZ Docs presented in this study will contribute to discovery of diverse subject matters and values as well as planning and development of contents suitable for the ecological environment of the area.

Na Yun Kim, Jae Yeong Lee, Sangheon Kim

The Korean Wave: A Decade of Ups and Downs

The Korean wave or Hallyu refers to the phenomenon of Korean entertainment and popular culture causing a great sensation in the world with pop music, TV dramas, and movies. Over the last decade, Korea has emerged as a new center for the production of transnational pop culture. However, an anti-hallyu movement is often rising in some parts of the world. In this regard, this study suggests that we should look back on the decade by analyzing the backlashes and achievement of Hallyu to develop concrete ideas on how to consistently develop it. In order to do so, it is essential for the government to contribute to the progress of cultural exchange with countries where Korean pop culture is making inroads.

Jin Young Kim, Jong Oh Lee

Memory as Content and Context – Testimonial Literature

This study would like to present memory as a new cultural content through the definition of testimonial literature. In particular, by composing the already established catalogue of testimonial literature, this discussion presents the new concept that memory can serve as new content. This study also pursues an in-depth study on “testimony in literature” that has not been covered in Korean literary circles until now. Actually, “testimonial literature”, unfamiliar to Korean academic circles, is not a subject that is briskly addressed by French humanities as well as by scholars in the other countries. A theme of “testimony and literature” just recently appeared in some global websites of humanities like “H-net”. Accordingly, we have a great ambition to lead a new trend of humanities in the world through the project.

O-Sik Shin, Hyoun-Jin Ju

Development of Value Oriented Customized Contents

Consumption values vary according to contexts. However, these values become ultimately the utopic value at the moment of decision whatever it will be because decisions are made to get maximum profit. In the era of scarcity and post-scarcity, the values most wanted are the utopic values in this sense. In the era of scarcity, consuming is caused by practical reasons such as survival necessities. On the contrary, in the era of post-scarcity, there is a great tendency of consuming values out of contents instead of contents themselves. This article goes to explain the different consuming patterns observed with Chinese tourists visiting Korea in two different eras, scarcity and post-scarcity, based on the consumption value theory and value shifting theory.

Sung Young Lee, Eun Sok Bae, Bo Eun Jung

Cultural Context Indicator of Fermented Food

Focused on Types and Classification of Asian Fermented Fish Food Products

Fermented fish food products have been extensively studied in Asia’s fermented food culture. We have attempted to categorize the different types of fermented fish products seen in some of the Asian countries as part of a cultural context indicator analysis. Categorization is available through two cultural context indicators: the macro cultural context indicator and micro cultural context indicator. The categorization of fermented fish products for this study is according to the macro cultural context indicator. Types and nomenclature of different fermented fish products found in different countries have been compared to ones found in Korea and categorized accordingly. East Asian countries’ fermented fish food, fermented with salt, is categorized into




, paste, sauce, and


in terms of form and ingredients. Two essential ingredients involved in the fermentation process are salt and rice. In other words, fermented fish food products were first introduced in cultures where rice is the staple cuisine. Salt is also used for preservation. The comparison and categorization of Asian fermented fish food as part of a cultural context indicator analysis provides an opportunity to understand its unique characteristics and qualities. It can eventually establish a fundamental frame of inherent properties of Asia’s fermented food culture and provide cultural indicators that can measure them. The study can be utilized to understand the identity of the fermented food culture in East Asia.

Jong Oh Lee, Jin Young Kim

A Hierarchy of Spatial Context for Urban Computing

Context which consists of user experience can be described by hierarchy of time context, spatial context, social context and global context, local context, personal context. We Proposed context hierarchy for content strategy. Proposed context hierarchy takes time and spatial index and relations makes formal representation. Spatial Context is presented by spatial elements for spatial information including point, line and region which have explicit values.

Sangheon Kim, Heui-Hak Ahn

Mixed Reality in Museum Exhibition Design

In the age of digital convergence, examples of digital convergence are often witnessed in all aspects of society. Particularly worthy of note among them is the development of a technology called mixed reality (MR), which are aimed at pushing the limits of human experience. This has laid the foundation for new cultural conditions by manipulating the existing conditions of human experience. Mixed reality (MR) technology has a wide range of applications, and can be effectively applied to museum exhibit environments, should the need arise for information on the uses and functions of artifacts, information on the restoration of damaged artifacts, the spatial characteristics of artifacts, or objects that require the modernization of artifacts. Utilizing mixed reality (MR) technology via mobile applications can be implemented with no additional need for hardware and system. Mixed reality (MR) technology can provide a variety of solutions to help museums fulfill their role and goals.

Hee-soo Choi, Dong-suk Yi

The Locality of Jeju Island and Planning Visual-Image Contents

A policy for developing local culture has been magnified these days. has served as the backdrop for a number of visual-image content thus far by utilizing its own characteristics, such as its natural environment, its myths, and its living culture. This study attempted to discuss Jeju’s strategy, which plans to integrate visual-image content with its local culture.

My Mother the Mermaid

used the strategy of adding its thematic meaning based on a good understanding of the symbolic spatial representation of Jeju. It is important to find any connection with the story from the spatial materials used in the film and apply special meanings to them.

Jeong-Hee Kim

A Study on Exhibition Design of the Playing Environment Based Science Museum for Preschoolers

This study is focused on the research of exhibition design for science museum, dedicated to preschoolers aged from 3 to 5 in their crucial developmental phase for wholesome development to help them explore intellectual curiosity through scientific play and experience. In this process, I propose exhibition design types or structures tailored to preschoolers’ science material and development features suitable for their each age group along with preferable play environment plan, and attempted to verify the direction for differentiated new hands-on education against average science museums. Based on the direction mapped out in this study, preschoolers’ science museum for their scientific thinking and wholesome human development are expected to be established.

Nak-hyun Jung, Jeong-Ah Choi

The Current Situations and the Tasks of Korean Studies Database Construction

The Korean Wave goes beyond the Asian countries and the world has paid attention to politics, economy, society and culture of Korea. This phenomenon is continuous so that the number of people who learn Korean studies all over the world is increasing. This study researches the current situations of Korean studies database accumulated so far to boost and develop it and examines what needs to be proper contents to the consumers and whether it can be industrialized. Additionally, it suggests the methods that the users can easily access to the data and the private provider can make and spread it. In the past, we put our focuses on building the data, but now we need to make it as a global content, promote to use the data and encourage the spread of information. In case that the privates use, develop the database of Korean studies, and then improves its values both in industry and in studies, these phenomena will last long.

Tae Hwan Oh, Sangheon Kim

Context of Visual Archive for Cultural Heritage

This article described context of visual archive for cultural heritage. Cultural heritage becomes the core record of a nation’s identity and cultural identity and proves to have sufficient value in itself to be stored permanently. Efficient method of visual recording can be visual images to create an effective information delivery tool which utilizes audible systems. If we are to more clearly classify data and information, we first need to consider the context of producing and utilizing information. As a result, this paper shows that making this process more appealing serves not only as information in these references but also as a medium for us to further and diversify our experiences in cultural heritage. With the help creation of cultural contents.

Byung-eun Park, Dae-kun Lim

Jumbagi: Korea’s Dinosaur 3D and OSMU Strategy

Jumbagi: Korea’s Dinosaur 3D

is one of the good examples of One Source Multi Use. For this, potentials and possibilities of the material ’dinosaurs’ played an important role. At the same time it has a special strategy to be recreated as new content. First, the importance of characters was emphasized. The production crew pioneered the new faction genre by combining documentary with storytelling. Another important matter in the movie is that it is the first Korean 3D animation for theaters. It is very meaningful to show the world vision of the Korean image industry, satisfying world movie trends.

Jong-Youl Hong

A Study about the Space Based Story-Telling for Exhibition of Literature Museum

Museums have continuously evolved according to the points to accommodate the needs of each period and created their own identities with the changes within them by shaping various types through spaces and media. Especially the literary museums are in a particular position to exhibit both the work, story itself and a story creator, the storyteller, committed to deliver the very specific meaning and its symbolism of the story. Therefore, the storytelling of literature museum requires both the approach to literature and the three-dimensional storytelling to implement the literacy. This Paper considers and suggests the ways to apply the characteristics the fairy tale-telling might have when they are exhibited and the guideline how to exhibit storytelling.

Dong-hwan Yoo, Hyo-min Kim

Urban Media Storytelling Based on Narrative Schema

This study sets up an Urban Media Storytelling Model based on “narrative schema”. Narrative schema is known as the universal model of story structure and has been widely utilized in the storytelling of cultural content. Individual content, represented through urban media, can also be utilized in the structure of storytelling. Likewise, it can set up storytelling for an entire city. This study attempts to connect the phases within a narrative schema and thus lead to recognition of the city’s image as a narrative schema, through people entering the city, being provided with information and entertainment, and exploring the city.

Jeong-Hee Kim, Jong-Youl Hong

A Story Bank Design for Modern Succession and the Variability of Folk Tale

This paper briefly examined basic characteristics and storytelling of folk tales in order to implement variable particularities according to interactivity and oral tradition of folk tales and designed a fundamental direction of folk tale story bank. Until now, folk tale archiving and folk tale filing has been focusing on fossilization of folk tales, time has come for folk tales to be implemented in a new method of interactive storytelling thanks to the development of digital technology. Moreover, the concept of such a story bank will not end up being a story bank itself, it enables participants to have a new experience through folk tale contents that reflect participatory as well as spatial characteristics of the digital environment.

Dong-hwan Yoo, Dae-jin Jeon

Requirements and Design Issues of Ubiquitous Community Care Systems for Low-Income Pediatric Asthma Patients

The social support in self-management has shown positive results in chronic condition treatment. In this paper, for low-income children with asthma, we propose ubiquitous community care system, and introduce requirements and some design issues for the system. We elicit sixteen requirements from analyzing interview with seven low-income families and six providers. Based on the requirements, we introduce design issues for the system: being ubiquitous, community care, regimen specific support, easiness of system usage, and privacy concerns. We also propose a centralized architecture for our ubiquitous community care system. We contend that our requirements and design issues for pediatric asthma management can be utilized in building the systems. Furthermore, our work can be applied to other chronic condition management system with minor modification.

Jongmyung Choi, Rosa I. Arriaga

A Cognitively Motivated Vertically Layered Two-Pass Agent Architecture for Realizing Ambient Intelligence in Urban Computing

We argue that a cognitively motivated vertically layered two-pass agent architecture with a correspondingly layered knowledge representation formalism is necessary for implementing responsive, reactive, and pro-active behavior into smart objects and smart environments. Being cognitively motivated, our approach aims to respect the cognitive demands of a human being, to deliver an adequate human-computer interface to urban computing environments. The vertically layered two-pass agent architecture allows separating time-critical processes with low computational demands from the computationally more expensive processing needed for intelligent systems. Additionally, representation mechanisms are necessary that correspond in expressive power and processing complexity to the available resources on each layer. We give an outline of a multi-agent system and representation formalism that fulfill these requirements.

Youngho Lee, Jongmyung Choi

Implementation of Visual Indicators for Residential Development

In recent years, residential tower blocks, residential rights such as a right to enjoy sunshine and good view have become socially sensitive matters. The research aimed to establish a methodology to find out the extent of visual damage and households caused by residential development. The research aims to make a quantitative calculation of visual grading and degree of concealment from residential development. Kumho residential apartment development was selected as a case study. Within the case study, 5 blocks were chosen to simulate which is located between Han River and Dalmaji hill. The degree of visual screening is analysed into three different visual exposures; Visual Exposure, Distance-weighed Visual Exposure and Area-weighed Visual Exposure. Then the Visual Exposures were compared with visual damage and landscape simulations. In particular, Area-weighed Visual Exposure has a great potential to be implemented into planning process including disputes, grant and assessment since it does reflect human visual perceptions.

Choong Sik Kim, Eun Joo Yoon

Assessment and Connection Method of Fragmentary Urban Green Space Using Gravity Model

This research presents the connecting method for the ecological network among the selected areas through the evaluation of the connectivity of the classified urban green space in Seoul. The study was divided into two; 1st stage of the classification of the types of greens and 2nd stage of the evaluation of connectivity. In the stage of classification of the type of the greens, the research evaluated the diversity of the vegetation and the value of the possibility of inhabitation of wild birds and then, classified the greens into a core green, which is a patch, base green, and connecting or stepping stone-type green, which is a corridor, in aspect of the landscape ecology. In the evaluation of connectivity, the research also selected and classified the areas for ecological network and suggested the connecting method by conducting the evaluation based on a gravity model with indexes such as area index, conference index, and fractal index, in order to find the relationship between the greens.

Soo Dong Lee

Environmental Impact Assessment (EIA) and Photo-Manipulation Techniques

Recently, it becomes common process to implement photo manipulation techniques in Environmental Impact Assessment process. With the benefits and support of computer generated photomontages, EIA can be more flexible and scientifically credible. In the past, conventional media such as maps, plans, illustrations, sections, and physical models have been used. Yet due to technical advances and falling costs, the potential for photo-manipulation has much improved and has been increasingly adopted within the EIA process. The research employs case study as a methodology. Based on a critical review of existing literature, this research explores in particular the issues of credibility, realism and costs of production. The research findings illustrate the importance of the credibility of photomontage, a topic given insufficient consideration within the academic literature. Whereas the realism of visualisations has been the focus of much previous research, the results of the case study. Although visualisations will always be a simplification of reality and their level of realism is subjective, there is still potential for developing guidelines or protocols for image production based on commonly agreed standards. These findings suggest there needs to be a balance between scientific protocols and artistic licence in the production of photomontages.

Kyung Jin An, Hoon Ko

Secure Information Sharing Using Personal Biometric Characteristics

In this publication will be proposed a new algorithm for secure information sharing using personal or biometric information. In classic cryptographic threshold schemes used for secret splitting or sharing there aren’t any connection between generated shares and particular participants of communication protocol. Sometimes it may be worth to generate personalized shadows, which allow not only recovery the original information or secret data, but also to identify who exactly took part in the secret reconstruction procedure. In the paper will be described the way of extraction some personal or biometric characteristics using cognitive information systems, as well as the algorithm of application such personal information for shadow generation in threshold schemes. Such new approach may play a great role in intelligent distributed computing or secure urban life.

Marek R. Ogiela, Urszula Ogiela, Lidia Ogiela

Visual Image Biometric Identification in Secure Urban Computing

In this publication will be proposed a new technique of personal identification based on non-standard biometric patterns in the form of selected medical visualization. The proposed solutions will be illustrated on the example of using intelligent CPIAIS cognitive information systems for extraction an unique personal feature vector which next will be used for personal identity analysis. Such procedure will allow to support the identification processes based on several types of biometrics patterns, as well as using feature vector in cryptographic procedures. While image analysis a cognitive procedures will be based on hand layouts parameters, evaluated for particular persons during medical examination.

Lidia Ogiela, Marek R. Ogiela

General Bayesian Network in Performing Micro-reality Mining with Mobile Phone Usage Data for Device Personalization

Personalization is an emerging issue in the digital age, where users have to deal with many kinds of digital devices and techniques. Moreover, the complexities of digital devices and their functions tend to increase rapidly, requiring careful attention to the questions of how to increase user satisfaction and develop more innovative digital products and services. To this end, we propose a new concept of micro-reality mining in which users’ micro behaviors, revealed through their daily usage of digital devices and technologies, are scrutinized before key findings from the mining are embedded into new products and services. This paper proposes micro-reality mining for device personalization and examines the possibility of adopting a GBN (general Bayesian network) as a means of determining users’ useful behavior patterns when using cell phones. Through comparative experiments with other mining techniques such as SVM (support vector machine), DT (decision tree), NN (neural network), and other BN (Bayesian network) methods, we found that the GBN has great potential for performing micro-reality mining and revealing significant findings.

Seong Wook Chae, Jungsik Hwang, Kun Chang Lee

How Do Stress Management and Personal Characteristics Improve the Quality of Life?

This paper investigates stress management and related health issues with smartphones, especially possible relationships among stress, well-being, and intention to purchase health-related apps. Using 98 valid questionnaire and GBN (General Bayesian Network), we analyzed survey data to extract meaningful lessons. First, people suffering from stress show high intention to purchase health-related mobile apps. Second, GBN is very effective in inducing rich interpretations from the experiments results.

Youngmi Baek, Kun Chang Lee, Seong Wook Chae

Coverage Verification Algorithm for Sensor Networks

The paper deals with the problem of coverage of domains in ℝ


by a network of sensors. It is related to a recent paper by de Silva and Ghrist. We provide a coverage verification algorithm, based on homotopy equivalent reductions of the Rips simplicial complex associated to the sensor network. The algorithm does not involve any computation in homology spaces of the Rips simplicial complex.

Aleksander Ćwiszewski, Piotr Wiśniewski


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