• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.3
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• pp.525-532
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• 2021

In the ocean, it is difficult to separate the effects of one cause due to the multiple causes, but the self-organizing map can be analyzed by adding other factors to the cluster result. Therefore, in this study, the results of the clustering of sea level data were applied to sea surface temperature. Sea level data was clustered into a total of 6 nodes. The difference between sea surface temperature and sea level height has a one-month delay, which applied sea surface temperature data a month ago to the clustered results. As a result of comparing the mean of sea surface temperature of 140 to 150°E, where the sea surface temperature was variously distributed, in the case of nodes 1, 3, and 5, it was possible to find a meandering sea surface temperature distribution that is clearly distinguished from the sea level data. While nodes 2, 4 and 6, the sea surface temperature distribution was smooth. In this study, sea surface temperature data were applied to the clustered results of sea level data, but later it is necessary to apply wind or geostrophic velocity data to compare.

• ETRI Journal
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• v.30 no.1
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• pp.113-128
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• 2008

Turbo codes are extensively used in current communications standards and have a promising outlook for future generations. The advantages of software defined radio, especially dynamic reconfiguration, make it very attractive in this multi-standard scenario. However, the complex and power consuming implementation of the maximum a posteriori (MAP) algorithm, employed by turbo decoders, sets hurdles to this goal. This work introduces an ASIP architecture for the MAP algorithm, based on a dual-clustered VLIW processor. It displays the good performance of application specific designs along with the versatility of processors, which makes it compliant with leading edge standards. The machine deals with multi-operand instructions in an innovative way, the fetching and assertion of data is serialized and the addressing is automatized and transparent for the programmer. The performance-area trade-off of the proposed architecture achieves a throughput of 8 cycles per symbol with very low power dissipation.

• Journal of the Optical Society of Korea
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• v.19 no.1
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• pp.74-79
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• 2015

A novel color clustered optical RGB multiple-input multiple-output (MIMO) system is presented. As visible light can be divided into three primary regions of red, green and blue, data can be modulated and transmitted separately using these three color clusters. Each color cluster comprised of 30 RGB LEDs is modulated using on-off-keying (OOK), and selection combining is performed at the receiver, producing a diversity effect within that color cluster. The simulations demonstrate that the proposed RGB MIMO VLC system provides high performance via a relatively simple design of MIMO. Moreover, the proposed system ensures sufficient illumination from LEDs and offers extended distance if more LEDs are applied.

• Plant Resources
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• v.5 no.1
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• pp.86-94
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• 2002

This study characterized the genetic variations of 13 populations of Asplenium antiquum and its relative species using randomly amplified polymorphic DNA (RAPD) markers. A total 88 scorable RAPD bands were generated by the 12 random oligo primers and were analyzed by Nei and Li's genetic distance. High genetic variability was detected between A. antiquum and A. nidus, with the range from 0.568 to 0.682. And slightly low genetic variations showed within the populations of same species. Seven populations of A. antiquum showed slight differences (0.000-0.216), and five populations of A. nidus showed similar low genetic variations (0.114 to 0.171). Two individuals from Sup-seom Island which are growing in might be the regenerated one from abroad. A. antiquum were clustered as two groups (Group I, Group II) by UPGMA phenogram. And five populations of A. nidus were clustered as two groups correlated with geographical distribution. The RAPD data was very useful to define the genetic variations and to discuss the phylogenetic relationships among A. antiquum and the related species..

• Structural Engineering and Mechanics
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• v.88 no.6
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• pp.535-549
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• 2023

Deep extreme learning machine (DELM) and multi-verse optimization algorithms (MVO) are hybridized for designing an optimal and adaptive control framework for uncertain buildings. In this approach, first, a robust model predictive control (RMPC) scheme is developed to handle the problem uncertainty. The optimality and adaptivity of the proposed controller are provided by the optimal determination of the tunning weights of the linear programming (LP) cost function for clustered external loads using the MVO. The final control policy is achieved by collecting the clustered data and training them by DELM. The efficiency of the introduced control scheme is demonstrated by the numerical simulation of a ten-story benchmark building subjected to earthquake excitations. The results represent the capability of the proposed framework compared to robust MPC (RMPC), conventional MPC (CMPC), and conventional DELM algorithms in structural motion control.

• Communications for Statistical Applications and Methods
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• v.10 no.2
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• pp.445-456
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• 2003

Spatial data are usually obtained at selected locations even though they are potentially available at all locations in a continuous region. Moreover the monitoring locations are clustered in some regions, sparse in other regions. One important goal of spatial data analysis is to predict unknown response values at any location throughout a region of interest. Thus, an appropriate space model should be set up and their estimates and predictions must be accompanied by measures of uncertainty. In this study we see that a space model proposed allows a best interpolation to annual rainfall data in South Korea.

• Journal of Families and Better Life
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• v.14 no.4
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• pp.71-84
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• 1996

The purposes of this study were to classify the family types based on the intra system dynamics and to examine sociodemographic backgrounds and the life satisfaction of these families. The data were collected by means of questionnaire distributed to a stratified sample of 544 housewives in Seoul who lived with housbands and children. The questionnaire included FACES II and III Communication Scale managerial behavior scale and life satisfaction Scale. Frequency percentile mean correlation factor analysis cluster analysis one-way ANOVA with scheffe test and chi-square test were used to analyze the data. This study had resulted in four major findings. The first was that highly positive relationships were found among four intra system dynamics elements. The first was that highly positive relationships were found among four intra system dynamics elements. The second finding was that families were clustered by four types named personal-oriented enervated dynamic and managerial-orien ed family. The third finding was that the four types of family were influenced by education level and job of husbands and family income. The last one was that the differences in life satisfaction were found among four types of family. The housewives of dynamic family type showed the highest level of satisfaction whereas the lowest level of life satisfaction was found among housewives of enervated family type. The recommendations for future esearch and better ways to educate and counsel families were suggested.

• Journal of Korea Multimedia Society
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• v.19 no.1
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• pp.68-79
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• 2016

Electromyographic (EMG) signals have been widely used as motion commands of prosthetic arms. Although EMG signals contain meaningful information including the movement intentions of human body, it is difficult to predict the subject's motion by analyzing EMG signals in real-time due to the difficulties in extracting motion information from the signals including a lot of noises inherently. In this paper, four Ag/AgCl electrodes are placed on the surface of the subject's major muscles which are in charge of four upper arm movements (wrist flexion, wrist extension, ulnar deviation, finger flexion) to measure EMG signals corresponding to the movements. The measured signals are sampled using DAQ module and clustered sequentially. The Fuzzy C-Means (FCMs) method calculates the center values of the clustered data group. The fuzzy system designed to detect the upper arm movement intention utilizing the center values as input signals shows about 90% success in classifying the movement intentions.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.9B
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• pp.1652-1660
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• 1999

One of the most important goals in VOD servers is to provide services to more clients with services which clients request. In order to provide service efficiently and rapidly, though considering a few of policies, efficient placement of data when they are stored is direct cause to improve efficiency of retrievals. In this paper, we propose a efficient placement policy, encoded video data being stored in clustered VOD servers. In the proposed placement policy, partitioning a large disk array into smaller disk groups which consists of a few of disks with similar performances, specially disk I/O bandwidth. In last chapter, we compare proposed placement policy with conventional policies, and show the results of improved performances with proposed policy.

• Mycobiology
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• v.49 no.1
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• pp.61-68
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• 2021

Agaricus bisporus, commonly known as the button mushroom, is widely cultivated throughout the world. To breed new strains with more desirable traits and improved adaptability, diverse germplasm, including wild accessions, is a valuable genetic resource. To better understand the genetic diversity available in A. bisporus and identify previously unknown diversity within accessions, a phylogenetic analysis of 360 Agaricus spp. accessions using single-nucleotide polymorphism genotyping was performed. Genetic relationships were compared using principal coordinate analysis (PCoA) among accessions with known origins and accessions with limited collection data. The accessions clustered into four groups based on the PCoA with regard to genetic relationships. A subset of 67 strains, which comprised a core collection where repetitive and uninformative accessions were not included, clustered into 7 groups following analysis. Two of the 170 accessions with limited collection data were identified as wild germplasm. The core collection allowed for the accurate analysis of A. bisporus genetic relationships, and accessions with an unknown pedigree were effectively grouped, allowing for origin identification, by PCoA analysis in this study.