• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.814-820
• /
• 2009

With the rapid development of China economy, many engineering projects with large scale and investment were constructed in China and some were the biggest ones in the world. With the development of engineering practice, great progress in the research of engineering management of China was made and a large number of research findings were embodied in content of research papers and were represented by technical words. To know the state of arts in the research field of engineering management in China, three major parts, namely title, abstract and keywords of research papers in last five years from three representative Chinese journals about engineering management were chose as research materials. Unlike western languages, there are no delimiters between the words of Chinese, so the maximum matching and frequency statistics (MMFS) method, a text segmentation technique of text mining Chinese, was presented to extract the features consisting of technical words, phrases and words from the research materials. Recent research and developing trend of engineering management in China were found by comparing and analyzing the difference of technical words in the research materials of last five years.

• Journal of People, Plants, and Environment
• /
• v.22 no.2
• /
• pp.209-217
• /
• 2019

Generally human sensibility is expressed in a certain language. To discover the sensibility of visitors in relation to the forest environment, it is first necessary to determine their exact meanings. Furthermore, it is necessary to sort these terms according to their meanings based on an appropriate classification system. This study attempted to develop a classification system for forest sensibility vocabulary by extracting Korean words used by forest visitors to express their sensibilities in relation to the forest environment, and established the structure of the system to classify the accumulated vocabulary. For this purpose, we extracted forest sensibility words based on literature review of experiences reported in the past as well as interviews of forest visitors, and categorized the words by meanings using the Standard Korean Language Dictionary maintained by the National Institute of the Korean Language. Next, the classification system for these words was established with reference to the classification system for vocabulary in the Korean language examined in previous studies of Korean language and literature. As a result, 137 forest sensibility words were collected using a documentary survey, and we categorized these words into four types: emotion, sense, evaluation, and existence. Categorizing the collected forest sensibility words based on this Korean language classification system resulted in the extraction of 40 representative sensibility words. This experiment enabled us to determine from where our sensibilities that find expressions in the forest are derived, that is, from sight, hearing, smell, taste, or touch, along with various other aspects of how our human sensibilities are expressed such as whether the subject of a word is person-centered or object-centered. We believe that the results of this study can serve as foundational data about forest sensibility.

• The Journal of the Acoustical Society of Korea
• /
• v.16 no.3E
• /
• pp.19-23
• /
• 1997

The goal of postprocessing in automatic speech recognition is to improve recognition performance by utterance verification at the output of recognition stage. It is focused on the effective rejection of out-of vocabulary words based on the confidence score of hypothesized candidate word. We present two methods for computing confidence scores. Both methods are based on the distance between each observation vector and the representative code vector, which is defined by the most likely code vector at each state. While the first method employs simple time normalization, the second one uses a normalization technique based on the concept of on-line garbage mode[1]. According to the speaker independent isolated words recognition experiment with discrete density HMM, the second method outperforms both the first one and conventional likelihood ratio scoring method[2].

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

• Science of Emotion and Sensibility
• /
• v.15 no.2
• /
• pp.269-282
• /
• 2012

Laboratory equipment will continue to be developed and created as long as experiments continue. Up until now, the designs have been focused on the functional role; successfully process the study purpose. However, nowadays, the requirements of providing emotional satisfaction of the design, has increased. Even so, the users are normally limited by specific groups and investments on these designs have been neglected due to small annual production by the small market. Through this study, we have conducted an emotional evaluation on Temperature and Humidity Chamber's (TH Chamber) exterior shape. First of all, we extracted emotional words and placed them in categories that represent these emotions and conducted an emotional evaluation on four typical TH chamber models. They were selected based on its door lock type and control box type. The result showed that the 'fixed type' of control box and the 'handle type' of door lock were most favorable by the users, satisfying the five representative emotions; 'Attractiveness', 'Classiness', 'Comfortableness', 'Pleasant' and 'Satisfaction in Usability'. Particularly, all 4 emotional words in the 'Satisfaction in Usability' category recorded over 3.65. This indicates that Satisfaction in Usability is relatively an important category when expressing laboratory equipment. The result of this research is expected to be used as a basic data to find a way of right approach in laboratory equipment design.

• Journal of KIISE:Software and Applications
• /
• v.30 no.7_8
• /
• pp.681-686
• /
• 2003

In this paper, we describes a system that extracts important sentences from Korean newspaper articles using automatic paragraphing. First, we detect repeated words between sentences. Through observation of the repeated words, this system compute Closeness Degree between Sentences(CDS ) from the degree of morphological agreement and the change of grammatical role. And then, it automatically divides a document into meaningful paragraphs using the number of paragraph defined by the user´s need. Finally. it selects one representative sentence from each paragraph and it generates summary using representative sentences. Though our system doesn´t utilize some features such as title, sentence position, rhetorical structure, etc., it is able to extract meaningful sentences to be included in the summary.

• Korean Institute of Interior Design Journal
• /
• v.23 no.4
• /
• pp.181-189
• /
• 2014

Adolescence is differentiated from other development stages for the significant physical and emotional changes a person goes through that stage. This study has surveyed communal residencies in the Seoul area and the community facilities within them and has analyzed their correlation with the adolescents' emotional reactions according to their school age. This study is concerned with evaluating the perceptions of teenagers towards learning, cultural, and exercise facilities. These adjectives were positioned on the IRI adjective images to obtain representative words such as "noble", "gentle", and "cheerful" for the purpose of analysis. Furthermore, each representative word was assigned a color and then made into a simulation for the EEG experiment. The EEG signals of the teenagers in different educational levels indicated that EEG signals of high school students were more activated compared to that of middle school students and both groups responded to the "cheerful" images with high EEG signals. Therefore, in order for community facilities within communal residencies to actively support and activate leisure and academic activities for adolescents, they have to be connected to their emotional characteristics. It is also important to minutely plan according to their school age.

• Science of Emotion and Sensibility
• /
• v.6 no.4
• /
• pp.33-40
• /
• 2003

This research was conducted to propose a sensibility model for web site design. At first, we collected 100 sensibility words related to web site design through analysis of journal and questionnaires and analysis of dictionary. 16 web sites were rated according to the degree of sensibility corresponding to each words, on the basis of the Semantic Differential(SD) method. The results of assessment were analyzed by means of the factor analysis and Multidimensional Scaling(MDS) method. From this relational analysis of sensibility words, the 18 representative words were abstracted as a result of the research included unique, unusual, rich, soft, cold, warm, vivid, simple, neat, dynamic, urban, light, somber, bright, dark, fresh, masculine, and hard. Also three sensibility dimensions bright-dark, soft-hard, simple-rich were found.

• CELLMED
• /
• v.14 no.2
• /
• pp.3.1-3.2
• /
• 2024

The purpose of this study is to consider the health and well-being of singing, an expression activity of language. There are also many studies in which singing activities have a positive effect on individual quality of life and social activities. Therefore, this study attempted to suggest that more effective singing is being performed by increasing empathy through various expressions of onomatopoeia and mimic words. Love Changbu Taryeong (愛倡夫打令) is Korea's traditional representative Gyeonggi folk song. It is a cheerful and lyrical folk song based on the five scale of Sol-ra-do-re-mi. It sings not only human joy, sorrow, and pleasure, but also natural phenomena and scenes. It is an exciting rhythm based mainly on the Gutgeori jangdan (rhythmic pattern, 12/8) but it is a rhythm that you can feel the sadness in it. In particular, various onomatopoeia and mimic words appear in this song, making you think about the fun of singing and the origin of the language. Therefore, this study attempted to examine that more effective singing is becoming more effective by increasing empathy through various expressions of onomatopoeia and mimic words. You can watch our singing activities on YouTube.(https://youtu.be/IhnBqWiK-3w?si=AAMi2BVes9mPShnr)

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.3
• /
• pp.591-598
• /
• 2021

It's possible to get the word-vector by the statistical SVD or deep-learning CBOW and LSTM methods and theses ones learn the contexts of forward/backward words or the sequence of following words. It's used to analyze the poems by Ki Hyung-do with similar words recommended by the word-vector showing the core images of the poetry. It seems at first sight that the words don't go well with the images but they express the similar style described by the reference words once you look close the contexts of the specific poems. The word-vector can analogize the words having the same relations with the ones between the representative words for the core images of the poems. Therefore you can analyze the poems in depth and in variety with the similarity and analogy operations by the word-vector estimated with the statistical SVD or deep-learning CBOW and LSTM methods.