• Journal of KIISE:Computing Practices and Letters
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• v.16 no.6
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• pp.747-751
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• 2010

This paper proposes the method that increases the accuracy for tagging word meaning by creating sense tagged data automatically using machine readable dictionaries. The concept of meaning group is applied here, where the meaning group for each meaning of a target word consists of neighbor words of the target word. To enhance the tagging accuracy, the notion of concentration is used for the weight of each word in a meaning group. The tagging result in SENSEVAL-2 data shows that accuracy of the proposed method is better than that of existing ones.

• Asia Pacific Journal of Corpus Research
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• v.4 no.2
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• pp.57-74
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• 2023

Having a firm grasp of technical terms is essential for learners of Japanese for Specific Purposes (JSP). This research aims to analyze Japanese nursing care vocabulary based on objective corpus-based frequency and subjectively rated word familiarity. For this purpose, we constructed a text corpus centered on the National Examination for Certified Care Workers to extract nursing care keywords. The Log-Likelihood Ratio (LLR) was used as the statistical criterion for keyword identification, giving a list of 300 keywords as target words for a further word recognition survey. The survey involved 115 participants of whom 51 were certified care workers (CW group) and 64 were individuals from the general public (GP group). These participants rated the familiarity of the target keywords through crowdsourcing. Given the limited sample size, Bayesian linear mixed models were utilized to determine word familiarity rates. Our study conducted a comparative analysis of word familiarity between the CW group and the GP group, revealing key terms that are crucial for professionals but potentially unfamiliar to the general public. By focusing on these terms, instructors can bridge the knowledge gap more efficiently.

• Journal of Korean Neurosurgical Society
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• v.54 no.1
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• pp.19-24
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• 2013

Objective : The purpose of this study was to retrospectively evaluate and compare the incidence of diffusion-weighted image (DWI) lesions between the Guglielmi detachable coil (GDC) and the Target coil for treating unruptured intracranial aneurysm. Methods : From 2010 to 2011, consecutive 222 patients with an intracranial aneurysm underwent coil embolization. Inclusion criterias were : 1) unruptured intracranial aneurysm, 2) one or more GDC or Target coils used with or without other coils, 3) DWI examination within 24 hours after coiling, and 4) coiling performed without a balloon or stent. Results : Ninety patients (92 cases) met the inclusion criteria. DWI lesions were detected in 55 (61.1%) of 90 patients. In the GDC group (n=44), DWI lesions were detected in 31 (70.5%). The average number of DWI lesions was $5.0{\pm}8.7$ (mean${\pm}$SD; range, 1-40) in aneurysm-related territory. In the Target coil group (n=48), DWI lesions were detected in 24 (50.0%). The number of DWI lesion was $2.1{\pm}5.4$ (range, 1-32) in aneurysm-related territory. There was no significant correlation between a number of coils and DWI lesions. No significant differences were also observed in the number of DWI lesions in each group. Conclusion : The GDC and Target coils, which have an electrolytic detachable system, showed no differences in the incidence of DWI lesion.

• The Research Journal of the Costume Culture
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• v.15 no.1 s.66
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• pp.137-151
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• 2007

This study was performed to narrow down the Sizing System for Female Adult's garments(KS K 0051) following age target and body shapes. The study was based on the sizing system and the anthropometric measurements, called Size-Korea, which were surveyed in the years 2003 and 2004. At first, the subjects of the survey were classified into 4 age groups, $18{\sim}24,\;25{\sim}34,\;35{\sim}49\;and\;50{\sim}59$, based on the most significant differences of body sizes. Secondly, the ranges of four key dimensions - height, bust, waist and hip-of normal sizes were identified through analyzing Rohrer index and percentile. The selected sizes within the ranges were grouped by the drop which was the subtraction of bust girth from hip girth. In conclusion, there was the most frequent drop for each age group; 9cm drop for the $18{\sim}24$ years old group, the 6cm drop for the $25{\sim}34$ years old and $35{\sim}49$ years old and 3cm drop for $50{\sim}59$ years old. The upper body garment sizes of the same drop and target ages could be merged to 10 to 12 sizes, which were remarkably smaller than the Female Adult garment sizing system, and further to 2-5 sizes, considering the percentile importance. However, $50{\sim}59$ years old group needed to be analyzed in different ways, because the number of subjects of normal size in the age decreased rapidly, that the normal sizes for them were very limited. In addition, the reference body sizes of each garment size were apparently different when they were compared to each age groups. These basic data for garment size specification could be usefully adapted for the apparel companies' own sizing system according to their age target and body shapes, to achieve efficient production and better fit.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.6
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• pp.1056-1068
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• 2018

This study investigates whether women's wear brands' sizing systems reflect the body size and shape of their target age customers. This study classified 17 women's wear brands into three target age groups (20-30s, 30-40s, and 40-50s) and surveyed their body sizing systems for jacket items. The distribution of bust circumference and hip circumference of brands' sizing systems were compared with the size distribution of women in the 7th SizeKorea data. The brands targeting 20-30s fully produced five sizes which are the highest coverage rate, but the brands targeting 30-40s produced three sizes, and the brands targeting 40-50s produced one size. Regarding the body types, 60.0% of 20-30s target brands and 42.9% of 30-40s target brands reflected N type which is the average body type of each age group. However, the rest of the brands, including all 40-50s target brands, reflected A type which covered small portions of women. For each age group, 6 sizes with 24.0-29.0% coverage rates were proposed. With regard to the 88-94 size, three age groups overlapped: the 82-91 size was overlapped between the 20-30s and the 30-40s groups along with the 85-91 and 88-91 sizes that overlapped between the 30-40s and 40-50s groups.

• The Journal of the Acoustical Society of Korea
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• v.38 no.3
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• pp.290-301
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• 2019

The proposed algorithm deals with a detection problem of target echo for narrow-band continuous-wave active sonar in the underwater environment in this paper. In the active sonar systems, ping signal emitted for target detection produces a signal that consists of multiple reflections by many scatterers around, which is called reverberation. The proposed algorithm aims to detect the low-Doppler target echo in the reverberant environment. The proposed algorithm estimates the bearing, frequency, and temporal bases based on beamspace-domain multichannel nonnegative matrix factorization. In particular, the bases are divided into two basis groups - the reverberation group and the echo group, then the basis groups are estimated independently. In order to evaluate the proposed algorithm, a simulation with synthesized reverberation was performed. The results show that the proposed algorithm has enhanced performance than the conventional algorithms.

• Journal of the Korea Society of Computer and Information
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• v.17 no.4
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• pp.99-107
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• 2012

We propose control mechanism of UAV(Unmanned Aerial Vehicle) group for making the communication network to the base station after the target is found. We assume UAVs can communicate to each other by wireless LAN without existing communication infrastructure. UAVs started to fly in linear formation, after finding target, UAVs move to the base station to send the information about the target. At least one UAV stays the position that the target is found. This paper explains the mechanism supporting reliable connectivity during UAV group's flying. We verify the proposed scheme and evaluate the performance through NS-2 simulation. The proposed scheme can be applied to the disaster area and war zone, which the existing communication infrastructure cannot be worked.

• Molecules and Cells
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• v.45 no.9
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• pp.640-648
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• 2022

CD133, also known as prominin-1, was first identified as a biomarker of mammalian cancer and neural stem cells. Previous studies have shown that the prominin-like (promL) gene, an orthologue of mammalian CD133 in Drosophila, plays a role in glucose and lipid metabolism, body growth, and longevity. Because locomotion is required for food sourcing and ultimately the regulation of metabolism, we examined the function of promL in Drosophila locomotion. Both promL mutants and pan-neuronal promL inhibition flies displayed reduced spontaneous locomotor activity. As dopamine is known to modulate locomotion, we also examined the effects of promL inhibition on the dopamine concentration and mRNA expression levels of tyrosine hydroxylase (TH) and DOPA decarboxylase (Ddc), the enzymes responsible for dopamine biosynthesis, in the heads of flies. Compared with those in control flies, the levels of dopamine and the mRNAs encoding TH and Ddc were lower in promL mutant and pan-neuronal promL inhibition flies. In addition, an immunostaining analysis revealed that, compared with control flies, promL mutant and pan-neuronal promL inhibition flies had lower levels of the TH protein in protocerebral anterior medial (PAM) neurons, a subset of dopaminergic neurons. Inhibition of promL in these PAM neurons reduced the locomotor activity of the flies. Overall, these findings indicate that promL expressed in PAM dopaminergic neurons regulates locomotion by controlling dopamine synthesis in Drosophila.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.15 no.1
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• pp.103-109
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• 2016

The performance of a multi-head, computerized combination scaling system to automatically identify a group of agricultural products having a total weight within the target range has been optimized to reduce the package cycle time of the merchandise. First, the structure of the scale was modified to enable faster measurement by enhancing the dynamic stability during the process. Second, the high frequency noise in the measured signal was eliminated by a high frequency filter to provide more accurate weight data. Finally, the algorithm to identify a group of products with a total weight within the target range was modified to enable a user to select an optimal number of scales. According to the experimental verifications, this modified system reduced the package cycle time significantly and also was accurate in measuring the total weight of the selected products.

• Journal of Korea Multimedia Society
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• v.6 no.4
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• pp.668-675
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• 2003

Now a days many industries and bigger organisation (Indian Railways, Bharat Heavy Electricals Ltd.) are facing difficulties in implementing the new technology because of non-availability of fully trained staff. Also for the employed technical and other staff lot of resistance management has to face to get them trained for adoption of new technology. There are also very less organisations who can design effective training programmes and at the same time develop course material specially multimedia packages and computer base training (CBT) which can satisfy the need of different target groups of industries. Indian Railways was also facing similar situation while implementing the Air Brake System technology In Indian Railways. TTTI Bhopal took that challenge and designed, developed and trained Indian Railways trainer for implementation of the package on different target group. The present paper offers a case study on the same.