• IEIE Transactions on Smart Processing and Computing
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• v.2 no.3
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• pp.103-116
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• 2013

This paper reviews various bitstream syntax and parser description (BSPD) languages used in MPEG multimedia standards. Traditionally, the bitstream syntax and semantics have been described in human-readable form. Several languages have been developed to describe the bitstream syntax using a computer-readable language and allow the automatic generation of bitstream parsing function from the description. The languages were designed for different objectives and applications but have a range of commonalities in functionality. The aim of this paper is to provide a historical overview of BSPD languages. The background and target application of the BSPD languages are reviewed. In addition, the technical features of each languages, including the linguistic basis (e.g., XML-based) and parser generation method, are discussed and evaluated. In addition, previous studies based on each language are introduced and categorized according to their objectives. Finally, the relevant technical issues that suggest the direction of the future researches are reported.

• Journal of the Korea Computer Industry Society
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• v.9 no.4
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• pp.157-170
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• 2008

In this paper, we described the Parwan(PAR-1) CPU that be developed as a reduced processor at Messachusetts Microelectronics Center using a VHDL at the behavioral level and then described by connecting CPU components at the dataflow level. Finally, we used Test-bench method to simulate and verify execution of CPU processor that was designed using a VHDL <중략> Here, Presented method was to enable information exchange of design and representation of operation were very exact and simple. Also, a documentation of design was available and it was easy that verify a operation of designed processor. The behavioral description of VHDL aids designer as we verify our understanding of the designed system, thus the dataflow description can be used to verify the bussing and register structure of the design.

• Journal of the Korean Data and Information Science Society
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• v.21 no.5
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• pp.901-908
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• 2010

A geometrical description method is proposed to represent the process of the forward selection and backward elimination methods among many variable selection methods for multiple regression models. This graphical method shows the process of the forward selection and backward elimination on the first and second quadrants, respectively, of half circle with a unit radius. At each step, the SSR is represented by the norm of vector and the extra SSR or partial determinant coefficient is represented by the angle between two vectors. Some lines are dotted when the partial F test results are statistically significant, so that statistical analysis could be explored. This geometrical description can be obtained the final regression models based on the forward selection and backward elimination methods. And the goodness-of-fit for the model could be explored.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.623-625
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• 2003

The Semantic Web stands out in the next generation web, recently. In the Semantic Web, any information resources is defined by semantics and semantic links is given among these. It is different from existing web service environment. RDF (Resource Description Framework) is the data model to describe metadata of web resource and is to support for semantic links. And it is much the same as WSDL (Web Serice Description Language). In theis paper, we propose the RDF design method to improve the search performance by integrating RDF data unit with WSDL. We confirm the performance and efficiency of search will be improved by using the proposed method.

• Journal of Korea Game Society
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• v.3 no.2
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• pp.86-92
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• 2003

Today, the visual description of body is viewed in various categories, and the circumstance of computers is regarded as new type of communication beyond the circumstance of individual body. In cyber space, when existence and role of character in computer game constitute communication, the ideal body description of each character depicts dramatic beauty, which rises above reality. On this thesis, analyzing the body description and transition on visual in, I grope for a method to utilize in creating game character which is modeled from ideal human being. Although the progress of producing character has already come to limit, concluding that we have to create character model which has marked individuality and beauty by adding modem and future analysis to the golden ratio, which has established since ancient Greece, this paper suggests the method of creating character which has the image of ideal human body.

• The Journal of Korea Robotics Society
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• v.14 no.1
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• pp.22-30
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• 2019

For effective human-robot interaction, robots need to understand the current situation context well, but also the robots need to transfer its understanding to the human participant in efficient way. The most convenient way to deliver robot's understanding to the human participant is that the robot expresses its understanding using voice and natural language. Recently, the artificial intelligence for video understanding and natural language process has been developed very rapidly especially based on deep learning. Thus, this paper proposes robot vision to audio description method using deep learning. The applied deep learning model is a pipeline of two deep learning models for generating natural language sentence from robot vision and generating voice from the generated natural language sentence. Also, we conduct the real robot experiment to show the effectiveness of our method in human-robot interaction.

• Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
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• v.12 no.6
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• pp.579-590
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• 2018

Anomaly detection on building energy consumption has been regarded as an effective tool to reduce energy saving on building operation and maintenance. However, it requires energy model and FDD expert for quantitative model approach or large amount of training data for qualitative/history data approach. Both method needs additional time and labors. This study propose a machine learning and data science approach to define faulty conditions on hourly building energy consumption with reducing data amount and input requirement. It suggests an application of Support Vector Data Description (SVDD) method on training normal condition of hourly building energy consumption incorporated with hourly outdoor air temperature and time integer in a week, 168 data points and identifying hourly abnormal condition in the next day. The result shows the developed model has a better performance when the ${\nu}$ (probability of error in the training set) is 0.05 and ${\gamma}$ (radius of hyper plane) 0.2. The model accuracy to identify anomaly operation ranges from 70% (10% increase anomaly) to 95% (20% decrease anomaly) for daily total (24 hours) and from 80% (10% decrease anomaly) to 10%(15% increase anomaly) for occupied hours, respectively.

• Journal of Korea Multimedia Society
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• v.4 no.1
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• pp.29-36
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• 2001

This paper proposes an efficient image description method for image retrieval using circular scanning pattern. Therefore, we place the origin of the circular scanning pattern on center point of an image and describe spatial color features of the image using the pattern. The features are Circular Dominant Color, Circular Color Texture, and Circular Color Variation Plot. By the method we can describe color and spatial information of the image at a time, efficiently. Therefore, we can reduce the computational expense and memory usage needed to index the image more than the conventional one does.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.32A no.10
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• pp.73-80
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• 1995

In this paper, a synthesis tool using matrix operations for designing multi-level Reed Muller circuits is described which has been named as MRM (Multi-level Reed Muller Minimizer). The synthesis method which uses matrix operations has advantages in effectively minimizing chip area, delay optimization and fault detection capability. However, it uses only truth-table type maps for inputs, synthesizing only small circuits. To overcome the weakness, our method accepts two-level description of a logic function. Since the number of cubes in the two-level description is small, the input matrix becomes small and large circuits can be synthesized. To convert two-level representations into multi-level ones, different input patterns are extracted to make a map which can be fed to the matrix operation procedure. Experimental results show better performance than previous methods. The matrix operation method presented in this paper is new to the society of Reed Muller circuits synthesis and provides solid mathematical foundations.

• Transactions of Materials Processing
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• v.9 no.2
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• pp.140-151
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• 2000

The finite element mesh approach for tool surface description is applied effectively to analyze sheet metal stamping processes. To improve the mesh quality and the stability of the mesh generation process, a gybrid method based on the grid approach and the Delaunay triangulation is proposed in the present work. In the present study, a general method for the mathematical description of arbitrarily shaped tool surface is proposed by introducing the parametric surface approach. A polynomial function employed to describe the base parametric surface and the boundary curves are defined to describe arbitrary three-dimensional trimmed surfaces. To verify the validity of the proposed method, automatic mesh generation is carried out for some shosen complicated parts including actual automotive panel.