Earticle

Trans-media storytelling defines the process by which a host of contents that exist synchronically integrate into a larger entity. This is closely linked to the ubiquitous computing environment that has been brought into existence by a diversity of media and platforms. In particular, the urban media premised on a particular space resembles trans -media storytelling in that it realises a large description through multiple individual pieces of content. This paper will analyse the structure and characteristics of trans-media storytelling. First, trans-media storytelling uses space-centered storytelling that reflects the recent trend of storytelling. Second, defamiliarization through complexity of story is the key code of trans-media storytelling. This study will be a discussion about the strategy of urban media.

In the era of digital technologies, most enterprises have collected huge amount of data in an electronic form. Business intelligence technology has emerged as a tool to support information summarization, pattern extracting, knowledge discovery, and other knowledge-related tasks. The main part of most business intelligence software is the data mining engine to analyze and report relationships that exist in the stored data. Visualization tools are created to help data analysts easily explore the induced information. For extremely large amount of data stored in the data warehouse and data marts, simply explore information and knowledge through the visualize tool is not possible. We thus propose to put more constraints in the data mining engine of the BI software. We design the framework of the proposed BI system to predict customer churn in the telecommunication industry. The logic-based implementation and performance testing results of the constraint-based pattern mining are also illustrated in this paper.

Nowadays, Attention about how to effectively manage data according to vast amount of data is increasing. Also, concern about power consumption and CO2 generation with regard to green IT business is trends which growing up. In this paper, performance of HDD and DRAM-based SSD was analyzed when used as data storage. Performance comparative-analyzed used Tool accordingly that make up a total of two kinds of environments and created three kinds of conditions, and comparative-analyzed power consumption amount and CO2 generated amount each of storage when experiment. Through this study result, when processing of low data I/O, use the product that using a HDD was judged beneficial. Used DRAM-SSD when stored and administered large amount data that is judged to be more effective which reduction in the time and power consumption reduction. Also, as a way which to handle of large amount data using a configured environment, SAN switch is considered more advantageous.

The sun is the unlimited energy source for life on the earth. However, besides as the energy source, the sun also gives disruptions to the universe around the earth and also to the life on the earth. Sources of the disruptions from the sun are flares and Coronal Mass Ejection/CME. Both of those disruptions in general come from group of sunspots. With the growing of dependency of human life with modern technology, either facility on the surface of the earth or in universe around the earth, the disruptions from the sun should be anticipated. In order to know the complexity level of sunspot groups and their activity, Modified-Zurich sunspot classification is used. Image of sunspots can be taken using the Michelson Doppler Imager instrument (MDI) Continuum / SOHO (Solar and Heliospheric Observatory). This research was conducted on the automatic classification of sunspot group that can be used to analyze the space weather conditions and provide information to the public. There are two stages to classify sunspot groups namely feature extraction and pattern recognition. For feature extraction, we used digital image processing to get features of sunspot group, and for pattern recognition, we used artificial neural network. We compared 3 methods of artificial neural networks to get the best result of classification namely backpropagation, probabilistic and combination between self-organizing map and k-nearest neighbor. Among three of them, probabilistic neural network gave the best classification result.

People in the world made a unique fermented food for a long time. These fermented foods have been increased interest to people health in recent years. These fermented foods can be caused a disease in the event of misunderstood difference between fermentation and putrefaction. In addition consumers can’t know degree of different between fermentation and putrefaction. Therefore, the monitoring system which can predict a fermented foods change is needed in the distribution process in order to ensure quality and maturity. In this paper, the system which the can be monitored maturity and quality for fermented foods was proposed for consumers' health and safety. We measured the pH and temperature in order to maturity and quality of fermented food. The proposed system consists of RFID Tag, pH sensor, temperature sensor, RFID reader and server. In order to we confirm the usefulness of the proposed system, we are monitored fermented state and quality about a kimchi and a rice wine of Korea representative fermented foods.

In this paper, an IEEE 802.15.6 wireless body area networks (WBAN) medium access control protocol is developed to support a wireless USB (WUSB) application as a protocol adaptation layer (PAL). Due to portable and wearable nature, the WUSB over IEEE 802.15.6 hierarchical medium access control (MAC) protocol has to support the power saving operation and integrate WUSB transactions with WBAN traffic efficiently. In this paper, we propose a Hierarchical Power-saving Method (HPM) for WUSB over IEEE 802.15.6 hierarchical MAC to improve its energy efficiency. Simulation results show that the HPM also integrate WUSB transactions and WBAN traffic efficiently while it achieves high energy efficiency.

With the different query the different retrieval results will be got. According to the viewpoint of each user has different query need, a method that can adapt user automatically are proposed in information retrieval. To detect the information demands of users from multilanguage electronic text, the method analyzed the keywords used on information retrieval and gathered those keywords, summarized the relationship between keywords, selected accuracy word to word translation, deal with ambiguity of words to build reference information by learning and feedback process. The retrieval system is able to auto-adapt retrieval demand of different users by renewing reference information. Evaluation experiment results indicate the trend of adapting user and the availability of the method.

In this paper, we propose a joint distributed rate control algorithm and distributed resource allocation algorithm in multiradio multichannel multihop wireless networks with network coding. Our formulation provides a method of finding active links from the source to the destination and utilizing the resources from the available ones in order to maximize the network utility. Distributed schemes are used to approximate the upper bound within the feasible solution region of the optimization problem. The performance evaluation results show that the proposed scheme can effectively exploits multiple radios and channels.

Social acceptance of wearable computers is an important issue that has attracted interest since the emergence of the technology, as acceptance is the first step to successful diffusion. The user’s acceptance of a wearable technology is significantly affected by technological and human factors. Since the influence of technological factors is as crucial to acceptance as human factors, we opted to focus on the target of all technologies, the end user. The present paper reviewed research focusing on the user and variables that influenced the acceptance or rejection of wearable computers. We identified and evaluated six human factors that play a key role in the acceptance of technology: fundamental needs, cognitive activity, physical aspect, social aspect, demographic characteristic and technical experience. Our aim was to help researchers, device designers, and developers evaluate the acceptability and usability of their devices.

The purpose of this work is to present a practical study on the key factors of usability in small-sized mobile touch-screen applications. Though using smart phones has brought great easiness in our daily life in many ways, many smart phone applications often remain underutilized due to the poor consideration of end-users in the development phase, thus decreasing potential profit of companies. In this paper, we investigate usability problems for a mobile flight booking application on touch-screen phones, and suggest practical solutions. The application is a critical one that can represent the cases of a wide number of smart phone applications. Main expectations of users are presented from HCI (Human Computer Interaction) perspective and discussed through the case study. Questionnaire and interview methods were used for collecting data. Prototype has also been utilized to verify users' expectations of mobile flight booking more accurately. The interviewees who were in the range of ages 18-40 have been randomly selected for this study, which could be also considered as a realistic set because of their diversity. Results have revealed that users are very much concerned about the easiness and the lucidness of functions. Usability is a highly considerable subject for users to prefer a mobile flight booking application over booking tickets via online or agencies.

Mobile applications development challenges the modeling activities that precede the technical design of a software system. The context of a mobile system includes a broad spectrum of technical, physical, social and organizational aspects. Some of these aspects need to be built into the mobile applications. Selecting the aspects that are needed is becoming increasingly more complex with mobile systems than we have previously seen with more traditional information systems. In this paper, we discuss mobile application architectures. We start by describing some of the general concepts and terms behind client-server architectures and follow this by describing clients and servers and the connectivity between them. We then present several interesting architectural patterns and describe why they are useful as general mobile application architecture solutions. Finally, we discuss some of the tenets behind good architectural design and the considerations you need to be aware of when designing mobile applications. We also evaluate the mobile application architecture to apply an example case as best practices.

Recently, with accessible media, tools, and applications, a user has been able to create multimedia files without professional knowledge. A wide variety of multimedia file formats are available to meet different requirements. From the perspective of digital preservation and version management, however, most existing multimedia file formats have several shortcomings. For instance, there is no support for recovering damaged multimedia files using their derived files or a systematic comparison of content among derived files. In this paper, we propose a method to preserve multimedia files in such a way that individual files maintain preservation information along with multimedia data to keep track of change history. In order to show the feasibility of our approach, we extend the ISO base media file format on which various well-known media formats such as MP4 are based and analyze our approach in terms of storage consumption.

A new decoding algorithm that modifies error searching soft decision method is presented. The proposed algorithm improves the decoding error performance caused by repeated searching. It is shown that the simplicity inherent in the hard decision decoding is still maintained. This paper proposes an error correcting binary channel code which promotes symbol transition. This scheme exploits the error correcting capability of the preparatory code. It is demonstrated that the proposed code combine good symbol transition property with their own error correcting capability.

Gesture based natural human-robot interaction paradigm has few physical requirements, and thus can be deployed in many restrictive and challenging environments. In this paper, we propose a robot vision based approach to recognizing intentional arm- pointing gestures of human for an object grasping application. To overcome the limitation of robot onboard vision quality and background cluttering in natural indoor environment, a multi-cue human detection method is proposed. Human body is detected and verified by merging appearance and color features with robust head-shoulder based shape matching for reducing the false detection rate. Then intentional dynamic arm- pointing gestures of a person are identified using Dynamic Time Warping (DTW) technique, whilst unconscious motions of arm and head are rejected. Implementation of a gesture-guided robot grasping task in an indoor environment is given to demonstrate this approach, in which a fast and reliable recognition of pointing gesture recognition is achieved.

For analyzing consumers’ brand attitudes, this research makes 3D sports game including world-wide brands. This study, which is interdisciplinary in nature, can be found in the fact that it is pioneering work which applies marketing concepts to the computer game. In marketing fields, brand exposure is widely accepted for activating the game industry as a beneficiary model. Therefore, this research is a kind of pilot study for adopting brands to game contents. In analyzing the respondents' brand attitudes toward game, four research questions are formulated based on the research design. The results showed the respondents answered positively to brand awareness and purchase while responding negatively to brand preference and repurchase. Especially in regards to brand awareness, 3D sports game can be a very effective marketing communication method for brand-new products because more than 43% of respondents support it. In summary, this research suggests effective ways of interaction with gamers by analyzing viewers' brand attitudes toward 3D games. The research results can be utilized in organizing brand exposure to all types of multimedia contents.

This article proposes an integrated management and monitoring system based on the in-formation model for the large weapon system on the heterogeneous distributed environments. Since the large weapon system is the large scale distributed system composed of a variety of heterogeneous subsystems, it is very difficult to manage and integrate them. In order to man-age and control consistently the subsystems that operate on the different platforms, a stand-ardized method must be employed to maintain information about them. Also, when the con-figuration of the subsystems is changed, information about subsystems must reflect the changed configuration. This paper uses the information model to manage a large weapon system on the heterogeneous environments in a consistent manner. In addition, the methods for dynamic reconfiguration of information model are suggested to dynamically reflect the changes in the configuration of the subsystems into the integrated management and monitor-ing system. With these methods, we expect that the large weapon system can be managed re-liably.

Project management knowledge has gained much intention due to ever-changing market demands, shorten life span of innovations and technological complex scenarios. Projects managers in all domains are using scientific project management tools and techniques. Nevertheless, still project successes are deemed not to be real due to higher rate of failures. To help the project management professionals and practitioners, consulting firms have come forward with the aim to exploit tacit knowledge, its formation in implicit knowledge and its implementation for project management success. Project management consulting firms are outfitted with up-to-dated project management professionals to transfer this knowledge. These professionals are comprehended with project management experiences and skillfulness in the command of fundamental deriving for practice and familiarity with project management tools. These organizations help the firms or enterprises to train their project managers for best project management techniques to accomplish the project targets. This research contribution has portrayed the case study of Huading Project Management (HPM) in China. HPM has trained almost 6 million project management experts, practitioners and managers which is a great achievement for any domestic project management firm. HPM has provided project management consultancy services to a large state owned petrochemical enterprise in oil and gas sector, China Petroleum Engineering and Construction Company (CPECC). CPECC faced problems in project execution where mega projects were deviating from its target to meet time lines and budget constraints. CPECC hired the services of HPM to provide better solutions in the light of scientific approaches of project management practices. It has been reported that after implementing the project management scientific approach, projects comes close to the successful execution and met the time and budget restraints. HPM has provided solution in the form of enterprise project management system with various and parallel modules. Considering the characteristics of client organization, project can be carried out at three levels through this enterprise system: company level, molecular level and project level.

Ubiquitous Healthcare is very promising technology now a days. With the advent of many medical technologies, the desire to meet the high expectations of customers is becoming the concern in medical world. Ubiquity is the answer to provide medical services anytime, anywhere. Thus, this paper discuss about the ubiquitous healthcare system. To design a successful ubiquitous healthcare system, we have to consider many aspects. This paper introduces unified ubiquitous healthcare system architecture with collaborative model. Here, we present the 3 components of the system and briefly explained each functions.

Faced with the rapid change of business environment and technology, IT outsourcing has become an important alternative for IT management. IT outsourcing provides IT organization adaptability and sustainable competitive advantages. Despite the fact that many firms have tried to adopt IT outsourcing, comprehensive case studies on IT outsourcing process have so far rarely been reported. Therefore, this study attempts to analyze a case for the specific methodology and process of IT outsourcing in a distribution company. Proposed stages are first, to analyze inside and outside environment of the company secondly to evaluate organization/human resource/job and lastly to select IT outsourcing tasks and to reassign human resource. Some guidelines for the process and the methodology for IT outsourcing in this study suggest some practical implications for the company preparing for IT outsourcing.

Indoor evacuation model can provide scientific guidance for security solution design and emergency plan making in indoor environment, and virtual 3D scene can make the evacuation simulation more intuitive. An integration method of multi-grid evacuation model in 3D virtual indoor environment is proposed here. It maps 3D scene to 2D plane and establishes the grid table first, and then for each grid, calculates the shortest distance to accessible exits. After that, using the route selection method of multi-grid model to calculate the target position for each pedestrian in one time-step and matching the position to 3D scene, and invoking the action library to simulate the movement. Besides, the effect of ground slope is taken into account on pedestrian velocity. Experiment shows that the method is feasible and effective.

This study aims to help business community understand other cultures by utilizing the database. Particularly, the comprehensive information on the member states of ASEAN, which should be perceive as Blue Oceans, will be used for the companies to survive the global competition. In the midst of the global business arena, cultural literacy plays a very important role in expanding business overseas. That is, companies’ international management is in an inseparable relation with their competence in cultural understanding. In this regard, the DB will enable the businesses to have multicultural understanding, which is essential to resolve the problems resulted from cultural differences. Also, it will strengthen national competitiveness in the long run.

Compared with the two-dimensional media, the image depth of three-dimensional media can offer more intuitive and real scenes to the audience for feeling. But with the development of 3D display machines, there is a serious contradiction between the rapid of the 3D display machines and the lack of resources for the machines. To solve the problem, proposed an efficient image depth extraction method which utilizes the support vector machine (SVM). The label is established from the true depth of different videos, and the vector feature, haze is utilized as the feature vector. The training set is divided into a number of small training sets, reducing the sample size of the training sets, in order to improve training speed. The experimental results show that the algorithm is effective.

There are many methods to localize its position based on visual sensing schemes in indoor environment. This paper presents the problem of finding the correspondences of images feature’s descriptors when the images have large rotation. SIFT and SURF have always been considered as very effective algorithms to extract interest points and their orientation and descriptors. For descriptors, one of both uses a lot of time to calculate descriptors and the other has not good performance in large rotation of the image. In this paper, we propose an improved algorithm to calculate interest points’ descriptors for relative self-localization estimation. The proposed algorithm will satisfy descriptor invariant when the image rotates. Meanwhile, the proposed method reduces the calculated time as much as possible. Interest point’s descriptors are formed by resampling local regions.

Modelica is a language for modeling the physical world. This language is developed by researchers from dierent organizations. Modelica is an object-oriented language, and based on equations, which belongs to non-causal modeling. There are tools developed for Modelica. Modelica can model vehicle motion in a lively and easily way. With Modelica, many complex systems can be modeled and analysed.

The information technology is evolved to accomodate the ever changing end users request for new services. As the request for the high data rate multimedia contents explosively increases the related hardware, software and networking technologies are finding ways to effectively satisfy end users expectation. Aligned with this trend the display device becomes thinner to reduce the weight while supporting high resolution quality for both mobile and indoor usage. The LCD device is now an inevitable component in almost all the information processing appliances. The exothermic problem becomes one of the important issues which should be solved for various applications. In LCD adopted device the relative inside areas gets packed with various types of electronic devices as heat generation sources which include the display driver integrated circuit (IC). One of reasons for this problem is that more and more advanced display devices such as LCD and LED require driver ICs with higher degree of circuit integration within a limited area while demanding higher performances. Also a lot of efforts have been made to reduce the edge areas as the big screen display as well as portable mobile devices are getting popular in many fields. In this paper an enhanced heat sink method is proposed to reduce the heat generation problem caused by the driver ICs to maintain the stability of the operation and to protect the circuits in the chip on film package. The proposed method has advantages over the conventional ones in terms of the unit production price and no limitations on the arrangement of the IC.

In this paper, we proposed a new artifact level estimation algorithm. The noise model is firstly proposed and 2D discrete wavelet transform is explained. The proposed method is based on Donoho’s approach. From the result section, it is obvious that the proposed method gives favorable results.

Most approaches to adaptive hypermedia were based around acquiring and representing learner’s knowledge. While this is crucial for user modelling in general adaptive hypermedia, it is very limited for e-learning because it does not address the far more fundamental problem which is “learners learn in different ways, different learning styles and different thinking styles”. The design of adaptive e-learning hypermedia system (AEHS) in this work is based on quantitative and qualitative research; the adaptive rules are deduced from the results of a psychological and pedagogical questionnaire. Pedagogical activities are the outcome of a series of deductions; the final activity sets are manifested in AEHS. In order to assess the positive effect and validity of adaptation on the basis of learners' thinking and learning styles, this study presents two subsequent experiments. The first experiment explores the relationship of thinking style and pedagogical activities to validate this specific psychological construct in the context of educational hypermedia. The second experiment presents the effect of a set of human factors (thinking style, learning style) in AEHS.