• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.1
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• pp.1-9
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• 2024

This paper analyzes the trends in generative AI technology based on patent application documents. To achieve this, we selected 5,433 generative AI-related patents filed in South Korea, the United States, and Europe from 2003 to 2023, and analyzed the data by country, technology category, year, and applicant, presenting it visually to find insights and understand the flow of technology. The analysis shows that patents in the image category account for 36.9%, the largest share, with a continuous increase in filings, while filings in the text/document and music/speech categories have either decreased or remained stable since 2019. Although the company with the highest number of filings is a South Korean company, four out of the top five filers are U.S. companies, and all companies have filed the majority of their patents in the U.S., indicating that generative AI is growing and competing centered around the U.S. market. The findings of this paper are expected to be useful for future research and development in generative AI, as well as for formulating strategies for acquiring intellectual property.

• Journal of Service Research and Studies
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• v.6 no.2
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• pp.185-199
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• 2016

Smart phone market launched Apple iPhone, and mobile devices having various sizes and operating system began to be enabled. The users search the necessary contents any time and everywhere by a smart phone. And they can use various contents immediately such as information, videos, music etc. Recently, digital devices including mobile has become a large proportion of in everyday life. Therefore, UI/UX which is responsible for the communication between the user and the mobile device is very important. It has been recognized as an important factor for users to determine how easy to use the mobile device. In this paper, it is discussed how to minimize the inconvenience of use while improving the convenience of the UI / UX that make up the mobile web. Then, it is presented an evaluation criteria of Mobile Web UI/UX for improving the usability of the mobile device.

• Journal of Digital Contents Society
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• v.17 no.6
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• pp.449-459
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• 2016

This paper proposes a new method to improve the three problems of existing automatic composition method using artificial neural networks. The first problem is that the existing beat post-processing to fit into music theories could not handle all the cases of occurring. The second one is that the pitch space generated by artificial neural networks is distorted because the rest is trained with the pitch on the same neural network with large values. The last problem is caused by the difference between the initial melody and beats given by user and those generated by an artificial neural network in the process of new composition. In order to treat these problems, we propose an enhanced post-processing of beats, initial melody processing, and adoption of artificial neural network for rest. It was found from experiments that the proposed methods totally resolved the three problems.

• Journal of Korean Society of Rural Planning
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• v.13 no.3
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• pp.13-21
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• 2007

This study focus on the pilot case of a scenic landscape agriculture in Go-Chang county for the innovative rural development strategy related the green tourism in Korea. The Go-Chang county in Jeon-Buk province has been progressed the diversified agricultural crops production region. The Go-Chang county is known as the famous cultural tour place that has the many historical and cultural resources (provincial natural park, traditional music, great stone cluster area, military castle walls, good tasted eel food and wine). But, today, the circumstances of global agricultural free trading situations is rapidly proliferated, it invited the depression of the agricultural incomes in rural regions in Korea. So, the Go-Chang county seeks trying to alternative development methods. The new frontier like scenic landscape agriculture is the one of the innovative strategies in this processes. The Go-Chang county selects and supports the scenic landscape agriculture for the new income production policy in connection with the green tourism. This study finds out the important components of the success of a scenic landscape agriculture for the introduction to the new frontier of peen tourism in Go-Chang county. First the scenic landscape agriculture development must be related the 4 season-ecological cultivation methods connected well-being trends. Second, it will be increased the income level of rural people by the competitive the rural green products and diversified green tourism programs which produced by the efforts of the rural people. Third, the success of scenic landscape agriculture and place marketing of rural green tourism depend on the creative community leaders.

• Science of Emotion and Sensibility
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• v.16 no.2
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• pp.187-194
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• 2013

The final aim of the present study is to build a system of converting a color image into musical elements based on a synesthetic perception, emulating human synesthetic skills, which make it possible to associate a color image with a specific sound. This can be done on the basis of the similarities between physical frequency information of both light and sound. As a first step, an input true color image is converted into hue, saturation, and intensity domains based on a color model conversion theory. In the next step, musical elements including note, octave, loudness, and duration are extracted from each domain of the HSI color model. A fundamental frequency (F0) is then extracted from both hue and intensity histograms. The loudness and duration are extracted from both intensity and saturation histograms, respectively. In experiments, the proposed system on the conversion of a color image into musical elements was implemented using standard C and Microsoft Visual C++(ver. 6.0). Through the proposed system, the extracted musical elements were synthesized to finally generate a sound source in a WAV file format. The simulation results revealed that the musical elements, which were extracted from an input RGB color image, reflected in its output sound signals.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.6
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• pp.105-109
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• 2012

This paper proposed a method which enabled the designing and implementation of a serious game based on AVR microcontroller on a virtual serial port before making the actual circuit by performing simulation, and which made it possible to develop a serious game. The implemented serious game implemented a mole game which can be enjoyed by one person, a love game with which a male gamer and a female gamer can play, and a marathon game in which a gamer can run the marathon while listening to cheerful music and looking at a region he/she wants to visit. The development of a microcontroller device that provides those functions showed that not only does the device make it possible to develop games more easily and conveniently through the implementation of a game using virtual serial communications with a board designed by an ISIS simulator, but also it reduces trials and errors during game development.

• Korean Journal of Applied Biomechanics
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• v.21 no.1
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• pp.47-55
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• 2011

The purpose of this study was to perform a kinematic analysis of Harai-goshi(hip throw) in superior female judo players. From our analysis, it appeared desirable for the player to shorten the duration of the technique for maximum results. It was also desirable for the player to draw the opponent backward while simultaneously maneuvering her close to her own body. A turning movement of the body toward the left side was found to be required for the technique, during which the player must lower the position of the center of gravity. During the subsequent angular change of the elbow, the player winds the elbow and, by moving the left shoulder, pulls the opponent toward her. The player lowers the body center by bending the left knee and letting the right knee extend, while turning the upper body and bending the hip joint. The player then draws the opponent in, contacts the opponent closely, turns, and stretches the right knee and hip joint rapidly and concisely, completing the move; it was also found to be desirable for the angular velocity to be increased for maximum efficacy.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.291-299
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• 2016

This paper raises a question of whether a simple periodic phenomenon is associated with the topology and provides the convincing answers to it. A variety of music instrumental sound signals are used to prove our assertion, which are embedded in Euclidean space to analyze their topologies by computing the homology groups. A commute time embedding is employed to transform segments of waveforms into the corresponding geometries, which is implemented by organizing patches according to the graph-based metric. It is shown that commute time embedding generates the intrinsic topological complexities although their geometries are varied according to the spectrums of the signals. This paper employs a persistent homology to determine the topological invariants of the simplicial complexes constructed by randomly sampling the commute time embedding of the waveforms, and discusses their applications.

• The Journal of the Acoustical Society of Korea
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• v.35 no.1
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• pp.49-54
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• 2016

In this paper, we propose a vocal separation method using weighted ${\beta}$-order minimum mean wquare error estimation (WbE) based on kernel back-fitting algorithm. In spoken speech enhancement, it is well-known that the WbE outperforms the existing Bayesian estimators such as the minimum mean square error (MMSE) of the short-time spectral amplitude (STSA) and the MMSE of the logarithm of the STSA (LSA), in terms of both objective and subjective measures. In the proposed method, WbE is applied to a basic iterative kernel back-fitting algorithm for improving the vocal separation performance from monaural music signal. The experimental results show that the proposed method achieves better separation performance than other existing methods.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.7
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• pp.285-292
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• 2014

A named entity recognition method is used to improve the performance of information retrieval systems, question answering systems, machine translation systems and so on. The targets of the named entity recognition are usually PLOs (persons, locations and organizations). They are usually proper nouns or unregistered words, and traditional named entity recognizers use these characteristics to find out named entity candidates. The titles of books, movies and TV programs have different characteristics than PLO entities. They are sometimes multiple phrases, one sentence, or special characters. This makes it difficult to find the named entity candidates. In this paper we propose a method to quickly extract title named entities from news articles and automatically build a named entity dictionary for the titles. For the candidates identification, the word phrases enclosed with special symbols in a sentence are firstly extracted, and then verified by the SVM with using feature words and their distances. For the classification of the extracted title candidates, SVM is used with the mutual information of word contexts.