• Journal of Life Science
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• v.21 no.9
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• pp.1281-1287
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• 2011

Phyllostachys consists of high and fast growing trees and is a genus in the family Gramineae. The genus has many species in Asia, with main distribution being in India and China. One of the most popular sequences for phylogenetic inference at the generic and infrageneric levels in plants is the internal transcribed spacer (ITS) region of the 18S-5.8S-26S nuclear ribosomal cistron. We evaluated four taxa with the ITS region to estimate phenotypic relationships within the genus Phyllostachys in Korea. Alignment of the DNA sequences required the addition of numerous gaps. Sequence variation within the Phyllostachys was mostly due to natural selection, although several indels and inserts were found. Within the genus Phyllostachys, P. nigra and P. nigra var. henonis were the relatives in the three phylogenetic analyses (MP, ML, and NJ). However, some external nodes were poorly supported. Morphological traits and simple repeats (ISSR) represented the result of a relationship similar to the that of ITS sequences in the genus Phyllostachys. This suggests that ITS sequences are very informative for identification of these taxa.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.12
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• pp.1274-1285
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• 1991

This paper presents a statistical convergence analysis of the normalized least mean square(NLMS)algorithm that employs a single-pole lowpass filter, In this algorithm the lowpass filter is used to adjust its output towards the estimated value of the input signal power recursively. The estimated input signal power so obtained at each time is then used to normalize the convergence parameter. Under the assumption that the primary and reference inputs to the adaptive filter are zero mean wide sense stationary, and Gaussian random processes, and further making use of the independence assumption. we derive expressions that characterize the mean and maen squared behavior of the filter coefficients as well as the mean squared estimation error. Conditions for the mean and mean squared convergence are explored. Comparisons are also made between the performance of the NLMS algorithm and that of the popular least mean square(LMS) algorithm Finally, experimental results that show very good agreement between the analytical and emprincal results are presented.

• Korean Institute of Interior Design Journal
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• v.16 no.4
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• pp.12-20
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• 2007

This study, as discussed herein, tries to understand how modern commercial buildings occur and develop in certain type of social and cultural conditions. There are many words standing for modern society, of which the most remarkable one is 'commercial society'. Commercial society is where goods are manufactured to one's taste and consumption is a way of communication and a way of discriminating one from the others by using different code. Nowadays, architecture gets more and more popular and becomes commercial object which is intended to the sign of the social meaning. So, the sign of commercial buildings varies according to the social and cultural backgrounds and kitsch is applicable to it. The original meaning of kitsch, which usually is considered an inferior copy of an existing style, is examined and applied to architecture in order for comprehension. Throughout this study, the types of commercial buildings are selected and immanent meaning to the psychology of consumers as applicable to commercial buildings is considered. Also, the trend of kitsch in commercial buildings is analyzed by classifying the image and code of a building's shape. In a conclusion of the study, two major points can be found; commercial building has a significant meaning in terms of design, and commercial building is the conceptual result of a continuous change in the relationship between society and art.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.11
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• pp.2792-2798
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• 2014

In modern society, to be achieved status as a Science edutainment experience, not just a science museum is established. It requires strategy and differentiation of a variety of entertainment, including theme parks, games, movies which are youth like. When the understanding of the audience for the principles of science to improve the use of ICT Convergence contents display, you need to take measures to increase the effectiveness of the Science Museum by giving the function of interesting leisure space in addition to the popular area of Science Education, Scientific and Cultural aspects reached. This role requires a science museum as a cultural space with the community as a chapter in science education. Science Museum is not a need to worry about what will convey to the public as efficiently as the Mecca of the educational content for the National Science Education. The analysis of the external environment, the composition will take on science education as a mecca of science education and how to combining ICT convergence technology in modern society beyond mere science museum experience and education in this study.

• Journal of Broadcast Engineering
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• v.24 no.6
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• pp.1013-1023
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• 2019

In content consumption environment with various live TV channels, VoD contents and web contents, recommendation service is now a necessity, not an option. Currently, various kinds of recommendation services are provided in the OTT service or the IPTV service, such as recommending popular contents or recommending related contents which similar to the content watched by the user. However, in the case of a content viewing environment through TV or IPTV which shares one TV and a TV set-top box, it is difficult to recommend proper content to a specific user because one or more usage histories are accumulated in one subscription information. To solve this problem, this paper interprets the concept of family as {user, time}, extends the existing recommendation relationship defined as {user, content} to {user, time, content} and proposes a method based on deep learning algorithm. Through the proposed method, we evaluate the recommendation performance qualitatively and quantitatively, and verify that our proposed model is improved in recommendation accuracy compared with the conventional method.

• Journal of KIISE
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• v.42 no.5
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• pp.652-663
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• 2015

Due to the popularity of location-based services, the amount of generated spatial data in daily life has been dramatically increasing. Therefore, spatial database outsourcing has become popular for data owners to reduce the spatial database management cost. The most important consideration in database outsourcing is meeting the privacy requirements and guarantying the integrity of the query result. However, most of existing database transformation techniques do not support both of the data privacy and integrity of the query result. To solve this problem, we propose a spatial data transformation scheme that utilizes the shearing transformation with rotation shifting. In addition, we described the attack models to measure the data privacy of database transformation schemes. Finally, we demonstrated through the experimental evaluations that our scheme provides high level of data protection against different kinds of attack models, compared to the existing schemes, while guaranteeing the integrity of the query result sets.

• Information Systems Review
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• v.17 no.3
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• pp.183-202
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• 2015

In recent years, various Social Network Service (SNS) is emerging as a new means of communication were enjoying a lot of popularity among consumers. Accordingly, an online word-of-mouth marketing through the SNS is prevalent. At this moment, the majority of companies selects the SNS used as resources of online word-of-mouth marketing on the assumption that the more a SNS is popular (followers or visitors based), the more it has an influence. In addition, the existing studies about the popularity or influence on the SNS were not distinguish them separately. The former researchers used popularity mixed with Influence. Therefore, this study, we have conducted a survey with people in their twentieswho use SNS most to do an empirical analysis of the relationship between popularity and Influence on the SNS. According to the results of this study, it has a weak correlation between popularity and Influence. So, it is necessary to distinguish between popularity and influence.

• The KIPS Transactions:PartD
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• v.15D no.2
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• pp.263-270
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• 2008

Research of ubiquitous computing becomes more popular topic along with the rapid development of wireless technologies. Firstly, research and development on RFID focuses on manufacturing and retail sectors, because it can improve supply chain efficiency. But, it changes to USN (Ubiquitous Sensor Network) by adding a sensor and wireless network technologies on it. In this research, we design and implement the electric facility management service framework to collect real time information of electric facility using RFID/USN. In electric power industry, it is important the supply of energy must be guaranteed. So many power utilities control and supervise the transmission line to avoid power failures. Utilities install many types of sensor to monitor important facilities by wired network such as optical cable and PLC. In this research, we develop the sensor node which is small, easy to install and using wired network. We design the service framework for electric facility management to collect data using RFID tag, reader and wireless sensor nodes and implement the electric facility management service.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.5
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• pp.9-17
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• 2019

As the IoT environment becomes more popular, the safety of the M2M environment, which establishes the communication environment between objects and objects without human intervention, becomes important. Due to the nature of the wireless communication environment, there is a possibility of exposure to security threats in various aspects such as data exposure, falsification, tampering, deletion and privacy, and secure communication security technology is considered as an important requirement. In this paper, we propose a new method for group key generation and exchange using trap hash collision hash in existing 'M2M communication environment' using hash collision, And a mechanism for confirming the authentication of the device and the gateway after the group key is generated. The proposed method has attack resistance such as spoofing attack, meson attack, and retransmission attack in the group communication section by using the specificity of the collision message and collision hash, and is a technique for proving safety against vulnerability of hash collision.

• Toxicological Research
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• v.35 no.4
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• pp.371-387
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• 2019

Although the dried root of Saposhnikovia divaricata (Turcz.) Schischk. (Umbelliferae) is a popular medicinal plant in East Asia, there has been no systemic toxicological evaluation of a water extract of Saposhnikoviae Radix (SRE). In this experiment, an oral acute and 13-week subchronic toxicological evaluations of SRE (500-5,000 mg/kg body weight) were performed in both sexes of Crl:CD(SD) rats. Based on the results from mortality, clinical signs, effects on body weight and organ weight, clinical biochemistry, hematology, urinalysis, and histopathology, significant acute, 4-week repeated dose range finding (DRF) and 13-week subchronic toxicity of SRE was not observed in either sex of rats; thus, the no observed adverse effect level (NOAEL) was 5,000 mg (kg/day). To identify anti-hyperuricemia potential of SRE, the suppressive effect of SRE was determined in mice challenged with potassium oxonate (PO; 250 mg/kg) via intraperitoneal injection for 8 days (each group; n = 7). SRE supplementation suppressed the uric acid level in urine through significant xanthine oxidase (XO) inhibitory activity. Kidney dysfunctions were observed in PO-challenged mice as evidenced by an increase in serum creatinine level. Whereas, SRE supplementation suppressed it in a dose-dependent manner. Collectively, SRE was safe up to 5,000 mg (kg/day) based on NOAEL found from acute and 13-week subchronic toxicological evaluations. SRE had anti-hyperuricemia effect and lowered the excessive level of uric acid, a potential factor for gout and kidney failure.