• ETRI Journal
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• v.46 no.2
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• pp.250-262
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• 2024

Air-writing recognition is relevant in areas such as natural human-computer interaction, augmented reality, and virtual reality. A trajectory is the most natural way to represent air writing. We analyze the recognition accuracy of words written in air considering five features, namely, writing direction, curvature, trajectory, orthocenter, and ellipsoid, as well as different parameters of a hidden Markov model classifier. Experiments were performed on two representative datasets, whose sample trajectories were collected using a Leap Motion Controller from a fingertip performing air writing. Dataset D₁ contains 840 English words from 21 classes, and dataset D₂ contains 1600 English words from 40 classes. A genetic algorithm was combined with a hidden Markov model classifier to obtain the best subset of features. Combination ftrajectory, orthocenter, writing direction, curvatureg provided the best feature set, achieving recognition accuracies on datasets D₁ and D₂ of 98.81% and 83.58%, respectively.

• Korean journal of food and cookery science
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• v.22 no.6 s.96
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• pp.930-939
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• 2006

Classifying Fruits recorded in Tangaekpyeon of Donguibogam and Sikgamchalyo of Jeongjoji of Limwonsibyukji and comparing the types, features, efficacy and side effects based on Kimi Theory(氣味), we found forty one fruits in Donguibogam and forty eight in Limwonsibyukji. As well as fresh fruits, soup, gruel, dry fruit, and powder, peel, stem, leaf, and root were also used. According to the literature, Fruits are classified by five conditions(五氣) and five tastes(五味) and many are mild with sweet taste or warm with sweet and sour taste. They are efficacious in protecting the five viscera, building up energy, controlling heat, calming febrile diseases, promoting urination and excretion, antidiarrhetic, calming cholera morbus, improving skin condition calming the stomach, neutralizing poisonous effects and improving eyesight. To help prevent and cure diseases, those with cold physical constitution must take warm Fruits to vitalize their physiology and those with hot physical constitution cold Fruits for balance. To improve their physical health, our ancestors tried to control their bio rhythm with food and medicinal material and promoted health and prevented diseases by taking such food. We therefore expect that we can have a healthy dietary life by taking advantage of the five conditions and five tastes of Fruits and continuing the spirit of Korea traditional food culture.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.231-244
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• 2022

With the improvement of people's living standards and the development of tourism, tourists have greater freedom in choosing destinations. Therefore, as an indicator of satisfaction with scenic spots, tourist comments are becoming increasingly prominent. This paper aims to compare and analyze the landscape image of the Five Great Mountains in China and provide specific strategies for its development. The online reviews of tourists on the Online Travel Agency (OTA) website about the Five Great Mountains from 2015 to 2018 are collected as research samples. The text analysis method and R language are used to analyze the content of the tourist reviews, while the high-frequency words in the word cloud are used for visual display. In addition, the entropy weight method is used to determine the index weight and tourist satisfaction is evaluated to understand the weaknesses of those scenic spots. The results of the study show that firstly, the tourist satisfaction with the Five Great Mountains is basically consistent with its popularity. Secondly, through weight analysis, tourists pay special attention to the landscape features and environmental health of the scenic area, so that relevant departments should focus on building the landscape characteristics and improving the environmental health of the scenic area. At the same time, the accommodation and service management of the scenic spot cannot be ignored. Finally, according to the analysis results, suggestions are made on how to improve the tourist satisfaction with the Five Great Mountains.

• The Journal of the Acoustical Society of Korea
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• v.17 no.3E
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• pp.12-21
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• 1998

In this paper, we describe the one channel five-way, V/U/M/N/S (Voice/Unvoice/Nasal/Silent), classification algorithm for automatically classifying speech. The decision making process is viewed as a pattern viewed as a pattern recognition problem. Two aspects of the algorithm are developed: feature selection and classifier type. The feature selection procedure is studied for identifying a set of features to make V/U/M/N/S classification. The classifiers used are a vector quantization (VQ), a neural network(NN), and a decision tree method. Actual five sentences spoken by six speakers, three male and three female, are tested with proposed classifiers. From a set of measurement tests, the proposed classifiers show fairly good accuracy for V/U/M/N/S decision.

• Journal of Veterinary Clinics
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• v.28 no.4
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• pp.369-374
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• 2011

Coital exanthema of Thoroughbred horses had occurred firstly in Republic of Korea. This study was performed to evaluate clinical features of coital exanthema, and provide veterinary knowledge to equine practitioner as well as horse farms. The method was clinical, clinical pathology and sexual hormone, electron microscope and libido examination. Five stallions of 27, 45 broodmares of 416 showed clinical symptoms but 124 foals and a teaser did not show any abnormal appearance. Five stallion had papule, pustule, crust around a glans, body of penis, prepuce and remain decolorized spot after treatment. One laceration of glans and 3 gait disorder had been observed but it did not affect libido. Forty-five broodmares localized had papule, pustule, crust, and ulceration around perineal region, vulva, mucocutaneous junction remain decolorized spot after treatment.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.21 no.11
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• pp.1449-1457
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• 1997

Since a non-nulling method of five-hole probes is valid only when the flow angle is within the calibrated angle range, it can not be used in a complex flow field. Full angle range pressure coefficient maps show that widely used nulling methods do not guarantee correct alignment of the probe with the flow direction in the unknown complex flow field. Zone decision method and features of zone map were studied by investigating the full angle range pressure coefficient maps. A reliable and efficient new nulling algorithm using zone decision by pressure ordering is proposed and verified. Since the zone decision method by pressure ordering can decide whether the flow is within the calibration angle range or not, it is useful in wide angle nonnulling methods, too.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.1
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• pp.78-87
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• 2003

Based on the qualitative analysis regarding five dominant characteristics of fashion in the transitional period of the 21s1 century, subsequent quantitative analysis was conducted and the following results were obtained. First, it was found that 85% of the clothes analyzed showed these five characteristics. Secondly, among the five characteristics, the new-naturalism shows the most significant trend and neo-retro was also found as one of the leading features along with the new-naturalism in the transitional period of the 21 st century. However, the frequency of technicism is less than was expected. Thirdly, analysis of the distribution of fashion characteristics according to fashion designers and seasonal changes show that new-naturalism, neo-retro and hybrid spread relatively evenly among each designer. The quantitative study confined the results obtained through the qualitative study.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.12
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• pp.119-125
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• 1999

This paper gives an overview of the various approaches to designing statistical pattern recognition scheme based on Bayes discrimination rule and the artificial neural networks for rotating machine condition classification. Concerning to Bayes discrimination rule, this paper contains the linear discrimination rule applied to classification into several multivariate normal distributions with common covariance matrices, the quadratic discrimination rule under different covariance matrices. Also we discribes k-nearest neighbor method to directly estimate a posterior probability of each class. Five features are extracted in time domain vibration signals. Employing these five features, statistical pattern classifier and neural networks have been established to detect defects on rotating machine. Four different cases of rotation machine were observed. The effects of k number and neural networks structures on monitoring performance have also been investigated. For the comparison of diagnosis performance of these two method, their recognition success rates are calculated form the test data. The result of experiment which classifies the rotating machine conditions using each method presents that the neural networks shows the highest recognition rate.

• Korean Journal of Human Ecology
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• v.22 no.6
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• pp.659-672
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• 2013

Nowadays, sports and outdoor market has been popular and expanding since the implementation of the five-day workweek and change of lifestyle. Outdoor clothing considered exclusive property of the middle-aged individuals in the past. Recently there is a drift towards having outdoor looking at the age of 10-20. The purpose of this study was to analyze the features of purchasing behaviors and demographics by each groups targeting middle school and high school students. The study was conducted with questionnaires towards people who live in the city of Busan and who have experiences of buying outdoor clothing. Data analysis was conducted via SPSS 18.0 with factor analysis, cluster analysis, ANOVA, cross tabulation, frequency analysis and Duncan's multiple range test. The results showed that there were five factors sought for outdoor wear benefits: Individuality/Fashion, Brand, Attractive appearance, Economic value, Comfort/Functional. Cluster analysis showed that there were four groups of outdoor wear benefits sought. Overall, the four groups were different in regard to purchasing behaviors and demographics. Based upon the results mentioned above, this study summarizes the key features of each group and can provide applicable suggestion for conducting strategic marketing activities.

• Ocean Systems Engineering
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• v.14 no.2
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• pp.101-114
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• 2024

Seafloor sediment mapping is an essential research topic in shallow coastal waters, especially in port development, benthic habitat mapping, and underwater communications. The seafloor sediments can be interpreted by collecting sediment samples directly in the field using a grab sampler or corer. Another method is optical, especially using underwater cameras and videos. Both methods each have weaknesses in terms of area coverage (mechanic) and accurate positioning (optic). The latest technology used to overcome it is the acoustic method (echosounder) with Global Navigation Satellite System (GNSS) Real Time Kinematic (RTK) positioning. Therefore, in this study will propose the classification of seafloor sediments in coastal waters using acoustic method that is Multibeam Echosounder (MBES) multi-frequency with five frequency (200 kHz, 250 kHz, 300 kHz, 350 kHz, and 400 kHz). In this study, the deep neural network (DNN) used the bathymetric multi frequency, bathymetric difference inters frequencies, and bathymetric features from 5 (five) frequencies as input layer and 4 (four) sediment types in 74 (seventy-four) sample sediment as output layer to make a seafloor sediment map. Results of sediment mapping using the DNN method show an overall accuracy of 71.6% (significant) and a kappa coefficient of 0.59 (moderate). The distribution of seafloor sediment in the study area is mainly silt (41.6%), followed by clayey sand (36.6%), sandy silt (14.2%), and silty sand (7.5%).