• Journal of IKEEE
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• v.23 no.1
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• pp.322-325
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• 2019

The non-intrusive load monitoring(NILM) algorithm can infer the power usage of the individual electric devices by the total electric power consumption of the main line. To develop such an algorithm, power usage pattern data of individual devices as well as those of various combinations of these devices are required. In this paper, we propose a method to develop a power usage pattern data acquisition system for developing a NILM algorithm for a smart farm. The data acquisition system is capable of simultaneously measuring the power usage of individual electrical devices and the power usage according to various combinations of scenarios every second. The measured data can be remotely monitored from the outside of the smart farm through the LTE network, and the measured data is stored in an external server.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.893-898
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• 2007

At present, one of the big characteristics in electric power market in korea is unique seller but in the near future competitions are expected in the market. so additional service for the electric power are expected. Also with development of IT technology, remote inspection for power usage are possible so as consumption pattern analysis. KORAIL is one of the biggest consumer in electric power market so it is necessary to investigate power consumption pattern. This paper presents electric load consumption pattern for representative substation like urban subway, high-speed train, industrial line and simulation program for electric power rate definition program based on billing system database. Base on the substation annual power usage DB data, the characteristic of the substation power consumption are investigated and effective electrical billing system are compared each other. Through this program it is verified that we can save more then several hundred million won for a year.

• Genomics & Informatics
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• v.20 no.4
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• pp.43.1-43.18
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• 2022

Atropa belladonna is a valuable medicinal plant and a commercial source of tropane alkaloids, which are frequently utilized in therapeutic practice. In this study, bioinformatic methodologies were used to examine the pattern of coding sequences and the factors that might influence codon usage bias in the chloroplast genome of Atropa belladonna and other nightshade genomes. The chloroplast engineering being a promising field in modern biotechnology, the characterization of chloroplast genome is very important. The results revealed that the chloroplast genomes of Nicotiana tabacum, Solanum lycopersicum, Capsicum frutescens, Datura stramonium, Lyciumbarbarum, Solanum melongena, and Solanum tuberosum exhibited comparable codon usage patterns. In these chloroplast genomes, we observed a weak codon usage bias. According to the correspondence analysis, the genesis of the codon use bias in these chloroplast genes might be explained by natural selection, directed mutational pressure, and other factors. GC12 and GC3S were shown to have no meaningful relationship. Further research revealed that natural selection primarily shaped the codon usage in A. belladonna and other nightshade genomes for translational efficiency. The sequencing properties of these chloroplast genomes were also investigated by investing the occurrences of palindromes and inverted repeats, which would be useful for future research on medicinal plants.

• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.581-587
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• 2020

The Many patients who have lumbar instability(LI) could make a different trunk movement pattern by reduction of their respiratory function and altered breathing pattern. This study was conducted to investigate the change in the thoracoabdominal usage rate(TAUR) on three circumference lines(axillary, xiphoid junction, 10th rib) during the resting and forced breathing (RB and FB) after respiratory pattern correction(RPC) exercises in patients with LI. 15 patients in the experimental group performed RPC exercises, and 15 patients in the control group conducted lumbar stabilization exercises. Before the intervention, both groups had a significant difference in the usage rate among the three thoracoabdominal lines during the RB and FB(p<.05). After the intervention, the experimental group was seen no significant difference in the usage rate among the three lines during the RB(p>.05) and exhibited significant differences in the usage rate between the two thoracoabdominal lines during the FB(p<.05). The RPC exercises might improve the trunk movement patterns by restoring the respiratory patterns. We suggest that the RPC can apply in the re-education and reinforcement process at the reha-program for LI patients.

• Journal of Korea Water Resources Association
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• v.54 no.spc1
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• pp.1083-1093
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• 2021

It is an essential to predict water usage for establishing an optimal supply operation plan and reducing power consumption. However, the water usage by consumer has a non-linear characteristics due to various factors such as user type, usage pattern, and weather condition. Therefore, in order to predict the water consumption, we proposed the methodology linking various techniques that can consider non-linear characteristics of water use and we called it as KWD framework. Say, K-means (K) cluster analysis was performed to classify similar patterns according to usage of each individual consumer; then Wavelet (W) transform was applied to derive main periodic pattern of the usage by removing noise components; also, Deep (D) learning algorithm was used for trying to do learning of non-linear characteristics of water usage. The performance of a proposed framework or model was analyzed by comparing with the ARMA model, which is a linear time series model. As a result, the proposed model showed the correlation of 92% and ARMA model showed about 39%. Therefore, we had known that the performance of the proposed model was better than a linear time series model and KWD framework could be used for other nonlinear time series which has similar pattern with water usage. Therefore, if the KWD framework is used, it will be possible to accurately predict water usage and establish an optimal supply plan every the various event.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.541-548
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• 2014

This study aims to examine how mobile instant messenger (MIM) usage pattern and MIM intensity influence MIM users' social capital. Total 253 MIM users in their 20's and 30's participated an online survey. Results showed that MIM frequency and network size affected bonding social capital. Meanwhile, MIM intensity was the only variable that influenced users' bridging social capital. Overall, the strength of strong ties in mobile media use was confirmed again. It was also confirmed that measuring the qualitative level of emotional attachment to the MIM (MIM intensity) was more important than gauging mere usage pattern when evaluating social capital enhancement through mobile media use.

• Journal of KIISE:Computer Systems and Theory
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• v.32 no.4
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• pp.148-159
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• 2005

We propose a technique for finding the worst case response time (WCRT) of a DMA request that is needed in the schedulability analysis of a whole real-time system. The technique consists of three steps. In the first step, we find the worst case bus usage pattern of each CPU task. Then in the second step, we combine the worst case bus usage pattern of CPU tasks to construct the worst case bus usage pattern of the CPU. This second step considers not only the bus requests made by CPU tasks individually but also those due to preemptions among the CPU tasks. finally, in the third step, we use the worst case bus usage pattern of the CPU to derive the WCRT of DMA requests assuming the fixed-priority bus arbitration protocol. Experimental results show that overestimation of the DMA response time by the proposed technique is within $20\%$ for most DMA request sizes and that the percentage overestimation decreases as the DMA request size increases.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.2
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• pp.332-340
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• 2013

As a means for users to interact online, Social Network Service focuses on facilitating the building of social relation. Also, Social Network Service(SNS) provides various functions for managing relationships and sharing information based on relationships. Analyzing behavioral characteristics and the process of relationship formation can help to identify the characteristics of the model for online human relationship. In this paper, we analyze usage pattern based on characteristics posted messages of influential users in Twitter. Also, classifying Facebook users into influential group and uninfluential group based on the number of their social relations, we analyze and compare characteristics of relationship formation patterns of the two classified groups. In addition, we present characteristics of human relation model in social network according to the pattern analysis.

• Journal of the Korean Home Economics Association
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• v.26 no.4
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• pp.87-100
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• 1988

The purpose of this study was to investigate the dweller's housing needs through the connection between dwellers' living pattern and space usage. The objectives were (1) to examine how to eat and cook in the eating and cooking spaces, (2) to examine how to alter the original housing, (3) to research the dwellers' housing needs for the eating and cooking spaces, and the changing process of dwellers' housing needs, and (4) to classify the type of eating and cooking spcaces. The results of this study were (1) there were changed in eating pattern of space usage according to the season. The eating activities were a Korean living pattern : sitting on the floor and eating at the BAB SANG. (2) There was a difference in the pattern of space usage and the activity for main cooking and KIM CHI. (3) AN BANG (eating space for winter) as well as MARU (eating space for summer) has changed to a larger space. (4) By the changing of living patterns, BU AUK (a main cooking space ) has showed a various alternations: function, dimension of space, facilities, floor materials and floor level. (5) The dwellers' housing needs for eating space were a multipurpose room, and a dining kitchen of western living pattern (using a dining table and chairs) with the present changing life styles. (6) The dwellers' housing needs for cooking space were a multipurpose room of working area, a seperation of heating area, a western living pattern, a plan of flat fllor level and a dining kitchen. (7) BU AUK of eating and cooking spaces was classified into 4 types: a traditional type, a mixing type, a modernized type, and a western type.

• The Mathematical Education
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• v.46 no.2 s.117
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• pp.227-237
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• 2007

This research analyzes students' response types in the creativity assessment by using pattern block, geoboard, and pantomino. 74 students from third grade to sixth grade participated in this research. 15 minutes were given to pattern block and geoboard questions. 74 students showed 393 answers in pattern block question and 590 answers in geoboard question. In pantomino, 20 minutes were given and 54 students showed 443 types of answers. The results are as follows: First, in the students' responses, tendency of using particular piece or figure, which presents conjoining in a piece selection and positioning, showed strongly. For example, usage of hexagon and trapezoid pieces were higer in pattern block and usage of L, P, and I pieces were higer in pentomino. Second, it is confirmed that creativity's subordinate factors, fluency, flexibility, and originality, are separate from each other. To illustrate, in pattern block, three students', who showed 11 types of responses in fluency, flexibility responses were each 5, 6, and 8 types. Specially, among those studenys, only one could achieve a point in originality. Third, students' response types categorized in this research could be used for a bae-data to mark grades on originality.