• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.6 no.10
• /
• pp.145-153
• /
• 2016

The purpose of the study is to draw competencies of faculty members at graduate school faculty to implements the NCS-based curriculum. A set of competency was deductively derived from a total of three professors and consultants with more than ten-year experiences and has been involved in developing the college curriculum. The political endeavors of the Korean government toward the competency-based education have been implemented as a movement to the NCS-based curriculum. The requirements for the reorganization of curriculum and education system as well as cooperation among faculty, industry, region and development part of NCS were suggested for the activation of NCS based education and the operation of NCS. However, one of the most critical factors in introducing and implementing the NCS-based curriculum is the role of faculty members. Therefore, it is an urgent issue to equip the faculties with required competencies. Result showed that the competencies required professors at graduate school for the NCS-based curriculum implementation were classified into four areas: marco-level curriculum development; micro-level course design; knowledge across areas; and attitude across areas.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.1
• /
• pp.265-276
• /
• 2017

Korean petroglyphs have been found over a lot of ruins through nation-wide regions including Daegok-ri Bangudae and Cheonjeon-ri in Ulsan. In this paper, we present an information system for Korean petroglyph ruins named KPetro which supports the dedicated camera application and the timeline service. The system provides the services for searching and updating information in various ways over the primary database constructed with the data on petroglyph ruins, which are collected by the Bangudae Petroglyph Institute. In addition, through the camera application developed for the system, users can easily add photos to the appropriate petroglyph ruin according to the GPS information of the location where those photos are taken. Also, the system provides the timeline service showing the photos for a specific petroglyph ruins in order of shooting time. To support both mobile and desktop environments, KPetro provides its functions in a web browser using the HTML5 standard technology and the JavaScript language, enabling the system to be adaptable to various user devices and extendable for its functionalities.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.3
• /
• pp.339-349
• /
• 2017

This paper proposes a four-stage algorithm for detecting lanes on a driving car. In the first stage, it extracts region of interests in an image. In the second stage, it employs a median filter to remove noise. In the third stage, a binary algorithm is used to classify two classes of backgrond and foreground of an input image. Finally, an image erosion algorithm is utilized to obtain clear lanes by removing noises and edges remained after the binary process. However, the proposed lane detection algorithm requires high computational time. To address this issue, this paper presents a parallel implementation of a real-time line detection algorithm on a multi-core architecture. In addition, we implement and simulate 8 different processing element (PE) architectures to select an optimal PE architecture for the target application. Experimental results indicate that 40×40 PE architecture show the best performance, energy efficiency and area efficiency.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.3
• /
• pp.401-410
• /
• 2017

Augmented reality game has differences with traditional games in the way what it includes physical risks happened in the real world. Although accidents related to Pokemon Go are increasing, academic discussions on the issues are rare. Thus, this study explores risk types caused by the augmented reality game and examined how perception of the risks affect usage intention on the game. This study also provides the research implications through comparative analysis between youth group who generally has the tendency toward game addiction and older group. According to the results, teenagers had less usage intention when perceived financial risk increase. In case of over twenty, time risk had negative relationship with usage intention. Physical risk had no significant effect on usage intention for teenagers, but positive relationship was observed in case over twenty. These results imply the necessity of an appropriate regulation for safe game play.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.3
• /
• pp.861-870
• /
• 2017

In this paper, we propose the roles of social robots in educational environments. This proposal becomes an extension of R-learning. The purpose of social robots is the communication and interaction with human. Social robots have two roles. One is similar to the role of educational service robot and the other is communication role with people in education environments. We make an scenario to explain how to operate the roles of social robots using robot jibo SDK. The scenario was designed for mild interaction with the user in the educational environment. And it was made using jibo animation part to control the external reaction of jibo and behaviors part to control the internal reaction in jibo SDK. Social robots collect data effectively, based on grafting technologies and interaction with people in educational environments. Concludingly, various data collected by social robots contribute to solving problems, developing and establishing of educational environments.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.9
• /
• pp.259-269
• /
• 2017

As emerging the '4th Industrial Revolution' by increasing the necessity of the intelligent system recently, 'Autonomic Control System' also has been the important issue. It is necessary to develop the system collecting data of machines and sensors for the autonomic control system to monitor the target system. But it is difficult to collect data because data formats of machines and sensors of the existing factories differ between each manufacturer. Therefore, this paper presents and implements data collecting and processing system that comprise 3 steps including 'ParseBuffer', 'ProcessData' and 'AddToBuffer' by using 'MTConnect' that is standard manufacturing facility data collecting middleware. Through the suggested system, we can get data in a common format usable in an autonomous control system. As a case study, we experimented with the generation and collection of AGV (Automated Guided Vehicle) data, which is an unattended transportation system in the factory. To accomplish this, we defined the data type in accordance with the MTConnect standard and confirmed the data collected through the proposed system.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.6 no.12
• /
• pp.587-594
• /
• 2016

Autonomous A.I. vehicles are seemingly soon ready for our life. One of the critical problems with autonomous vehicles is how one could assign responsibility for accidents to them. We can envisage that autonomous vehicles may confront an ethical dilemma. Then a question arises of how we are able to assign legal responsibility to autonomous vehicles. In this paper, I first introduce what the ethical dilemma of autonomous vehicles is about. Second, I show how we could be able to assign legal responsibility for autonomous vehicles. Legal probability is the received criteria for causal responsibility most of the legal theorists consider. But it remains vague. I articulate the concept of legal probability in terms of the probabilitstic theory of individual level causality while considering how one can assign causal responsibility for autonomous vehicles. My theory of causal responsibility may help one to assign legal responsibility not just for autonomous vehicles but also for people.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.1
• /
• pp.177-186
• /
• 2017

Recently, Autonomous vehicles are getting hot attention. Amazon, the biggest online shopping service provider is developing a delivery system that uses drones. This kinds of platforms are need accurate attitude information for navigation. In this paper, a structure design of AHRS using low-cost inertia sensor is proposed. To estimate attitudes a Kalman filter which uses a quaternion based dynamic model, bias-removed measurements from MEMS Gyro, raw measurements from MEMS accelerometer and magnetometer, is designed. To remove bias from MEMS Gyro, an additional Kalman filter which uses raw Gyro measurements and attitude estimates, is designed. The performance of implemented AHRS is compared with high price off-the-shelf 3DM-GX3-25 AHRS from Microstrain. The Gyro bias was estimated within 0.0001[deg/s]. And from the estimated attitude, roll and pitch angle error is smaller than 0.2 and 0.3 degree. Yaw angle error is smaller than 6 degree.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.4
• /
• pp.37-46
• /
• 2017

In this research, we conducted an empirical study on the influence of social capital on cooperative governance for the Gwangju city social economy. The results of the study are as follows. First, the social capital factor commonly affecting cooperative governance is trust. Secondly, we were able to learn that there was a difference in the results of the hierarchical regression analysis to grasp the magnitude of the relative influence of detailed elements of social capital by cooperative governance factors in order. Network(4.843) exerted the most influence in Common Decision-making, followed by Trust(3.855). Trust(3.130) exerted the most influence on Management of Governance, followed by Network(2.936). Network(2.647) exerted the most influence on Cowork System, followed by Trust(2.244). Finally, Network(4.153) exerted the most influence on Partnership Building, followed by Trust(2.244). In particular, 'Participation' was an important factor in 'Co-work System'.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.11
• /
• pp.71-79
• /
• 2017

In this paper, we implemented the exchange rate forecasting neural network using heterogeneous computing. Exchange rate forecasting requires a large amount of data. We used a neural network that could leverage this data accordingly. Neural networks are largely divided into two processes: learning and verification. Learning took advantage of the CPU. For verification, RTL written in Verilog HDL was run on FPGA. The structure of the neural network has four input neurons, four hidden neurons, and one output neuron. The input neurons used the US $ 1, Japanese 100 Yen, EU 1 Euro, and UK £ 1. The input neurons predicted a Canadian dollar value of $ 1. The order of predicting the exchange rate is input, normalization, fixed-point conversion, neural network forward, floating-point conversion, denormalization, and outputting. As a result of forecasting the exchange rate in November 2016, there was an error amount between 0.9 won and 9.13 won. If we increase the number of neurons by adding data other than the exchange rate, it is expected that more precise exchange rate prediction will be possible.