• International journal of advanced smart convergence
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• v.12 no.4
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• pp.44-54
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• 2023

This paper provides a comprehensive analysis of the implications of the metaverse on the music industry, focusing on copyright issues and potential solutions. It delves into the concept and characteristics of metaverse platforms, describing them as environments that immerse users in a variety of virtual experiences. A significant portion of the paper is dedicated to exploring music use and copyright infringement in the metaverse. It examines how users incorporate existing music into their content, often leading to legal challenges due to copyright infringement. The paper discusses the role of online service providers (OSPs) in this context and the legal implications of their actions. The paper also addresses the 'safe harbor' provisions for OSPs and examines the balance between protecting rights holders and limiting OSP liability. It highlights the challenges and limitations of copyright enforcement in the metaverse, especially given the unique nature of content on platforms such as Roblox. Finally, the article proposes solutions to simplify music licensing in the metaverse, suggesting a shift from property rules to liability rules and the establishment of Collective Management Organizations (CMOs) to streamline the licensing process and better protect copyright holders' interests.

• Journal of Auto-vehicle Safety Association
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• v.15 no.4
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• pp.16-22
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• 2023

This paper presents a proactive longitudinal motion planning algorithm for improving the safety of an automated bus. Since the field of view (FOV) of the autonomous vehicle was limited depending on onboard sensors' performance and surrounding environments, it was necessary to implement vehicle-to-vehicle (V2V) communication for overcoming the limitation. After a virtual V2V-equipped target was constructed considering information obtained from V2V communication, the reference motion of the ego vehicle was determined by considering the state of both the V2V-equipped target and the sensor-detected target. Model predictive control (MPC) was implemented to calculate the optimal motion considering the reference motion and the chance constraint, which was deduced from manual driving data. The improvement in driving safety was confirmed through vehicle tests along actual urban roads.

• Korean Journal of Environment and Ecology
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• v.36 no.5
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• pp.525-534
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• 2022

In this study, we investigated the psychological and physiological effects of experiences in real natural forests and virtual forests using artificially controllable VR. The experiment tested 60 adult college students in a natural forest and a graduate seminar room where external light was blocked. It evaluated the effects of the natural and the VR forest environments by comparing the psychological and physiological recovery of the subjects. Psychometric testing using the PANAS psychological index showed increased positive emotions and decreased negative emotions after experiencing forest scenery in the natural and VR forest environments. And a stress index, based on measuring cortisol in saliva, decreased significantly in the subjects in both environments. The experiment results can be used to support the creation of a psychological and physiological recovery environment with VR for those who cannot go to the natural forest due to certain restrictions such as physical distance, mobility difficulties, etc. It is expected that the results will be the basis for further research into the visual effects of forest healing and also for widening the use of VR, a technology of the fourth industry, in the field of forestry.

• The Journal of the Korea Contents Association
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• v.10 no.11
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• pp.169-179
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• 2010

In these days, space design is evolving to the mixed reality space where fused on-line and off-line. But, standard and measure of mixed reality space has not been suggested and there has been little research about media environment and expression method as a mixed system either. That's why here I suggest four media environments and their characteristics that act not only as a critical point in the mixed reality space based on ubiquitous technology but also as a standard for spatial discerning. 1) Real space that is a media environment only seen by human visual and tactical sense is evolving using expression methods like new materials based on digital technology and LED. 2) Augmented reality space is a media environment using information instruments is expressed with diverse 2D and 3D contents. 3) Cyber Space is a environment depends totally on media instruments is produced by perfect graphic information without any spatial and physical limitations. 4) Augmented cyber space is realized only through the displays in cyber studio and is a space where real objects and graphic information are mixed. Depending on the purpose of the experience, media environment and expressional characteristics of mixed reality space can be fused, blended, and mixed, and that can be realized to the intelligent information space where one can experience without spatial, visual, informational limitations. In the future, studies on physical characteristics of contents according to the media environment characteristics are necessary.

• Journal of Korea Game Society
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• v.9 no.6
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• pp.105-116
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• 2009

The motives of human beings provide reasons to set goals and carry them out. Accordingly, to realize the behaviors of agents similar to human beings, research using motives has been actively conducted. However, it is difficult for this research to cope with unexpected situations in a dynamic environment as does the research in a static environment. Agents can set goals by themselves in the dynamic environment. Furthermore, the goals that are finally selected shall be quickly and definitely set. This study suggests how to determine motives using them in order to enable agents to set goals by themselves. The suggested method compares motives generated by recognizing the environment by phase in real time and identifies the appropriateness of this method. The identified motives are used to set up the goals of agents and to practice the goals. For the appropriateness of the suggested method, the experiment to compare the behaviors of agents with different features in a virtual environment was conducted. The results of the experiment indicate that when several motives are generated, the agents found the most appropriate motive in the present situation. Accordingly, the agents were able to set up optimum goals so that they could cope with dynamic environments using the final motives identified by the determination of motives.

• Korean Journal of Agricultural and Forest Meteorology
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• v.6 no.2
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• pp.118-126
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• 2004

Grid is a new Information Technology (IT) concept of "super Internet" for high-performance computing: worldwide collections of high-end resources such as supercomputers, storage, advanced instruments and immerse environments. The Grid is expected to bring together geographically and organizationally dispersed computational resources, such as CPUs, storage systems, communication systems, real-time data sources and instruments, and human collaborators. The term "the Grid" was coined in the mid1990s to denote a proposed distributed computing infrastructure for advanced science and engineering. The term computational Grids refers to infrastructures aimed at allowing users to access and/or aggregate potentially large numbers of powerful and sophisticated resources. More formally, Grids are defined as infrastructure allowing flexible, secure, and coordinated resource sharing among dynamic collections of individuals, institutions and resources referred to as virtual Organizations. GRID is an emerging IT as a kind of next generation Internet technology which will fit very well with agrometeorological services in the future. I believe that it would contribute to the resource sharing in agrometeorology by providing super computing power, virtual storage, and efficient data exchanges, especially for developing countries that are suffering from the lack of resources for their agmet services at national level. Thus, the establishment of CAgM-GRID based on existing RADMINSII is proposed as a part of FWIS of WMO.part of FWIS of WMO.

• Microbiology and Biotechnology Letters
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• v.31 no.2
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• pp.95-102
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• 2003

Microalgae are a diverse group of photosynthetic organisms and abundant in every ecosystem in the biosphere. They are common in aqueous environments including marine, brackish and fresh waters and in some habitats that lack eukaryotic life such as some hot springs and highly alkaline lakes. Microalgal biotechnology that is focused on the microalgae-based production of a variety of useful materials such as pharmaceutical comfounds, health foods, natural pigments, and biofuels is considered as an important discipline with the development of biotechnology. In addition, the mass cultivation of microalgae can also contribute to improving the environmental quality by reducing the concentration of $CO_2$ which is one of major gases lead to global warming. Consequently, it seems that the microalgae can be used as an efficient, renewable, environmentally friendly source of high-value biomaterials such as chemicals, pigments, energy, etc. and the microalgal biotechnology will most likely represent a larger portion of modern biotechnology.

• Journal of Digital Contents Society
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• v.17 no.1
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• pp.23-31
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• 2016

This study aims to develop a stereoscopic image authoring tool to effectively produce e-Book content that enhances user's sense of immersion in 3D environments. The proposed authoring tool consists of three core systems; 3D object editing, stereoscopic image, and image media production systems. First, the object editing system arranges and produces diverse objects that constitute virtual 3D spaces to fit the purpose of the content. In this case, commercial graphic authoring tools are utilized to design efficient data structures that can include produced external models. In addition, the material and textures of objects are made to be revisable and editable into the form wanted by the user. Thereafter, a stereoscopic image system will be implemented to produce the generated virtual scenes into stereoscopic images. This study uses the Anaglyph method so that the user can implement and use stereoscopic image scenes more easily. This method include functions to change the color of stereo cameras and control depth scaling. Finally, an image media production system will be implemented that will enable producing the produced stereoscopic images into single images or videos so that they can be effectively utilized in e-Book content.

• Journal of the Korea Society for Simulation
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• v.29 no.2
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• pp.11-20
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• 2020

As the manufacturing environment becomes more complex, traditional simulation models alone are having a lot of difficulties in reflecting real-time manufacturing situations. Although the Digital Twin concept is actively discussed as an alternative to overcome theses issues, many studies are being carried out only in the product design phase. This research presents a Digital Twin-based manufacturing environment framework for applying the Digital Twin concept to the manufacturing process. Twin model that is operated in virtual space, physical system and databases describing the actual manufacturing environment, are proposed as detailed components that make up the framework. To check the applicability of proposed framework, a simple Digital Twin-based manufacturing system was simulated in a conveyor system using Arena software and Excel VBA. Experiment results have shown that the twin model is transmitted real time data from the physical system via DB and were operating in the same time unit. The Excel VBA fitted parameters defined by cycle time based on historical data that real-time and training data are being accumulated together. This study proposes operating method of digital twin model through the simple experiment examples. The results lead to the applicability of Digital twin model.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.5
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• pp.162-177
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• 2020

The perception of traffic environment based on various sensors in autonomous driving system has a direct relationship with driving safety. Recently, as the perception model based on deep neural network is used due to the development of machine learning/in-depth neural network technology, a the perception model training and high quality of a training dataset are required. However, there are several realistic difficulties to collect data on all situations that may occur in self-driving. The performance of the perception model may be deteriorated due to the difference between the overseas and domestic traffic environments, and data on bad weather where the sensors can not operate normally can not guarantee the qualitative part. Therefore, it is necessary to build a virtual road environment in the simulator rather than the actual road to collect the traning data. In this paper, a training dataset collection process is suggested by diversifying the weather, illumination, sensor position, type and counts of vehicles in the simulator environment that simulates the domestic road situation according to the domestic situation. In order to achieve better performance, the authors changed the domain of image to be closer to due diligence and diversified. And the performance evaluation was conducted on the test data collected in the actual road environment, and the performance was similar to that of the model learned only by the actual environmental data.