• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.4
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• pp.277-282
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• 2015

Braincomputer interface (BCI) technology is making advances in the field of humancomputer interaction (HCI). To improve the BCI technology, we study the changes in the electroencephalogram (EEG) signals for six levels of grip strength: 10%, 20%, 40%, 50%, 70%, and 80% of the maximum voluntary contraction (MVC). The measured EEG data are categorized into three classes: Weak, Medium, and Strong. Features are then extracted using power spectrum analysis and multiclass-common spatial pattern (multiclass-CSP). Feature datasets are classified using a support vector machine (SVM). The accuracy rate is higher for the Strong class than the other classes.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.569-570
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• 2016

본 논문은 뇌파 기반 감정 분류 기술의 상용화를 위한 낮은 성능을 보완하기 위하여 Regularized Common Spatial Pattern 필터링을 통한 전처리 방식을 제안하고 있다. RCSP 필터는 뇌파 기반 행동 인식 시스템에서 높은 성능 향상을 보이는 것으로 알려져 있다. 본 연구에서는 장기적이고 복합적인 뇌파의 감성 인지 연구에도 RCSP 필터의 적용 방법을 설명하고, 제안하는 알고리즘이 뇌파를 통한 감정 인식에 성능 향상을 보여준다는 것을 설명하고 있다.

• IEIE Transactions on Smart Processing and Computing
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• v.4 no.2
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• pp.97-102
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• 2015

In this paper, an extension of the standard common spatial pattern (CSP) algorithm using the strong uncorrelated transform (SUT) is used in order to extract the features for an accurate classification of the left- and right-hand motor imagery tasks. The algorithm is designed to analyze the complex data, which can preserve the additional information of the relationship between the two electroencephalogram (EEG) data from distant channels. This is based on the fact that distant regions of the brain are spatially distributed spatially and related, as in a network. The real-world left- and right-hand motor imagery EEG data was acquired through the Physionet database and the support vector machine (SVM) was used as a classifier to test the proposed method. The results showed that extracting the features of the pair-wise channel data using the strong uncorrelated transform complex common spatial pattern (SUTCCSP) provides a higher classification rate compared to the standard CSP algorithm.

• Fashion & Textile Research Journal
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• v.1 no.1
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• pp.62-68
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• 1999

The study has examined about the origin and change of traditional Japanese dress "Kosode" and classified it according to its ages and also classified its patterns which appeared on the Kosode by its kinds, and divide the patterns with constituent method and expressional method and so, studied and analyzed them with type of patterns according to the change of the times. The result of research were as follows: 1. Subject of patterns that appeared on the Kosode was used with mainly plant pattern, animals pattern, pictorial pattern, artificial pattern, and abstract patterns. 2. Expressional method of this patterns was mostly expressed simply with tie dyeing in ancient times, but it changed complex its expressional method and diversely due to the development of common's culture as time goes on. 3. For the arrangement of its pattern were arranged regularly mostly make demarcate and though they are as if seemed dispersed, but a characteristic that can find regulations in it. 4. Transition of patterns that appeared on the Kosode it developed at the beginning of ancient syouboon, Katasuso pattern and Katamigaori patterns at the samurai's society in the medieval society and developed to Koicho kosode and Kambun kosode in modern times.

• Korean Institute of Interior Design Journal
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• v.20 no.6
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• pp.53-61
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• 2011

As the standard of living has raised and the local self-governing body has enforced, cultural facilities have been increased in local areas. These cultural facilities should be designed to consider various users. However, most facilities were designed to focus on size or visual expressions. Therefore, this study was intended to evaluate common spaces of two cultural centers in local area from the universal design point of view. Two cultural centers located in large apartment complex were selected. The evaluating tool consisted of 46 elements related to universal design. The common space were pathway to entrance, parking lot, entrance, all over building, corridor, and restroom. Each 100 users of these two cultural centers evaluated them using by 5-point Likert scale. The results were as follows; The users rated them positively, but not highly. This means that some improvement were needed. Generally, the consideration for upgrading the quality of design such as material, pattern and color needed, and for various users including wheelchair users and seniors were needed. Also, when considering the users' behavior pattern and purposes, installing canopy over entrance, and providing seating places at corridor or pathway were needed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.1
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• pp.123-145
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• 2017

Due to the increasing demand for spectrum resources, cognitive radio networks and dynamic spectrum access draw a lot of research into efficiently utilizing limited spectrum resources. To set up cluster-based CR ad-hoc common channels, conventional methods require a relatively long time to successfully exchange the initialization messages. In this paper, we propose a fast and reliable common channel initialization protocol for CR ad-hoc networks. In the proposed method, the cluster head sequentially broadcasts a system activation signal through its available channels with a predetermined correlation pattern. To detect the cluster head's broadcasting channels and to join the cluster, each member node implements fast Fourier transform (FFT) and computes autocorrelation of an FFT bin sequence for each available channel of the member node. This is compared to the predetermined reference pattern. The join request and channel decision procedures are also presented in this paper. In a simulation study, the performance of the proposed method is evaluated.

• Journal of Fashion Business
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• v.5 no.4
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• pp.1-13
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• 2001

The purpose of this study was to research production situation of made-to-measure clothes of ready-towear manufacturers for middle-aged women. This study will be the basis of developing production model of mass customized clothing for middle-aged women. For the questionnaire, 18 ready-to-wear manufacturers, which were producing made-to-measure clothes and in higher ranking of sales, were selected and the pattern makers of the manufacturers were questioned about 29 items for this research. The results of the questionnaire were as follows: 1. The production ratio of made-to-measure clothes was increasing and most manufacturers have problems making fitted clothes for each customer. 2. The most common reason to order made-to-measure clothes was the sizes according to the various somatotypes and the proportion difference of a body. 3. The common somatotypes of upper body for made-to-measure clothes were obesity, large bust, bent forward posture, and leaning back posture. 4. The common somatotypes of lower body for made-to-measure clothes were obesity, prominent abdomen, prominent abdomen-prominent hip, and prominent hip. 5. Pattern making for made-to-measure clothes was to use production patterns or make new patterns.

• Journal of the Korean Institute of Rural Architecture
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• v.20 no.1
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• pp.37-44
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• 2018

The purpose of this study is to know how to make common space, find a type of it, and build a village landscape with it in countryside. There are five types of village including suburban according to typological locality in rural area. Each of them have remarkable common spaces that are combined with community identity and usage. They usually are located along with the street and lane of the village. Most of the villages I surveyed have common places for residents to rest, share, and meet together. Representatively, pavilion with symbolic tree we call Jeonja is very popular place to them, and village people also require public parking or pocket park in their modern life. I researched common places in ten communities in rural area so that I can suggest a way of community design through them. According to this research, there are three results. First, the common space of the village is placed to motivate emotional and attractive community design in the village. Second, the common space has an identity and landscape architectural relationship to build sustainable community. Third, countries' streets that I surveyed have four types, which are liner, tree, loop, and radiate patterns of lane. In line with those types, each one makes different and historical community landscape.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.6
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• pp.2513-2533
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• 2018

In cognitive radio technology, the overall efficiency of communications systems can be improved without allocating additional bands by allowing a secondary system to utilize the licensed band when the primary system, which has the right to use the band, does not use it. In this paper, we propose a fast and reliable common channel initialization protocol without any exchange of initialization messages between the cluster head and the member nodes in cognitive ad-hoc networks. In the proposed method, the cluster and member nodes perform channel-based spectrum sensing. After sensing, the cluster head transmits a system activation signal through its available channels with a predetermined angle difference pattern. To detect the cluster head's transmission channels and to join the cluster, each member node implements fast Fourier transform (FFT) and computes autocorrelation for the angle difference sequence of the received signal patterns. This is compared to the predetermined reference angle difference pattern. The join-request and channel-decision procedures are presented in this paper. Performance evaluation of the proposed method is presented in the simulation results.

• IE interfaces
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• v.24 no.4
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• pp.447-456
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• 2011

Identifying the major moving patterns of shoppers' movements in the selling floor has been a longstanding issue in the retailing industry. With the advent of RFID technology, it has been easier to collect the moving data for a individual shopper's movement. Most of the previous studies used the traditional clustering technique to identify the major moving pattern of customers. However, in using clustering technique, due to the spatial constraint (aisle layout or other physical obstructions in the store), standard clustering methods are not feasible for moving data like shopping path should be adjusted for the analysis in advance, which is time-consuming and causes data distortion. To alleviate this problems, we propose a new approach to spatial pattern clustering based on longest common subsequence (LCSS). Experimental results using the real data obtained from a grocery in Seoul show that the proposed method performs well in finding the hot spot and dead spot as well as in finding the major path patterns of customer movements.