• Journal of English Language & Literature
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• v.56 no.6
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• pp.1047-1065
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• 2010

English inversion constructions are not only hard for non-native speakers to learn but also difficult to teach mainly because of their intriguing grammatical and discourse properties. This paper addresses grammatical issues in learning or teaching the so-called 'predicate inversion (PI)' construction (e.g., Equally important in terms of forest depletion is the continuous logging of the forests). In particular, we chart the grammatical (distributional, syntactic, semantic, pragmatic) properties of the PI construction, and argue for adata-driven teaching for English grammar. To depart from the arm-chaired style of grammar teaching (relying on author-made simple sentences), our teaching method introduces a datadriven teaching. With total 25 university students in a grammar-related class, students together have analyzed the British Component of the International Corpus of English (ICE-GB), containing about one million words distributed across a variety of textual categories. We have identified total 290 PI sentences (206 from spoken and 87 from written texts). The preposed syntactic categories of the PI involve five main types: AdvP, PP, VP(ed/ing), NP, AP, and so, all of which function as the complement of the copula. In terms of discourse, we have observed, supporting Birner and Ward's (1998) observation that these preposed phrases represent more familiar information than the postposed subject. The corpus examples gave us the three possible types: The preposed element is discourse-old whereas the postposed one is discourse-new as in Putting wire mesh over a few bricks is a good idea. Both preposed and postposed elements can also be discourse new as in But a fly in the ointment is inflation. These two elements can also be discourse old as in Racing with him on the near-side is Rinus. The dominant occurrence of the PI in the spoken texts also supports the view that the balance (or scene-setting) in information structure is the main trigger for the use of the PI construction. After being exposed to the real data and in-depth syntactic as well as informationstructure analysis of the PI construction, it is proved that the class students have had a farmore clear understanding of the construction in question and have realized that grammar does not mean to live on by itself but tightly interacts with other important grammatical components such as information structure. The study directs us toward both a datadriven and interactive grammar teaching.

• Journal of Distribution Science
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• v.10 no.6
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• pp.17-26
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• 2012

Suncheon is a city comprising a rural and urban area, where there are four types of large stores. Studies have shown that there are too many large stores serving the local population of just 300,000. However, geographically, Suncheon is located at a transportation hub that borders the cities of Gwangyang and Yeosu as well as the local counties of Boseong and Gurae. Residents of these areas can reach these shopping stores within an hour's drive. Thus, the managers of these four stores regard residents in these areas as their valued customers and endeavor to create a differentiated image among them. In this study, 13 different images were used to determine the public's opinions and feelings towards these stores and the differences were analyzed. The store images measured overall store impression, diversity of the product, the quality of products displayed at the store, accessibility, the atmosphere, service to the customers, and so on. These images are evaluated subjectively by each customer and are major factors in them deciding to revisit the stores. The 13 images are classified into five main categories and further classified into 13 sub-categories. Three kinds of factor images were extracted from the store images in the five main categories by factor analysis using SPSS Ver. 19. The first factor image was extracted from the images of convenience, atmosphere, and service in the main categories and is called a sub-service factor for the store in this study. Accessibility to the store was classified as a convenience image in the main category and was extracted as a common factor along with diversity and the price of goods. These differences are expected according to the store location, that is, the difference between stores located in a large city and those in a small local city, and depending on the nature of survey respondents. The result shows that there is a significant difference between the stores' images with regard to accessibility, the price of products, brand image, and lighting/sound image. This study has the following limitations. First, the survey sample was restricted to residents of a small local city that includes rural and urban populations. The differences between the store images regarding traffic and accessibility are factored by store location, whether they are located within a large or a small city as well as the economic situation of these cities. Second, only the customers of large-scale stores were included in the survey as respondents. Relatively large traditional markets are held every five days in local cities and there is competition between large-scale stores and traditional markets with regard to diversity and the price of goods. It could be expected that customers in large-scale stores and customers in traditional markets would hold different store images. In future studies, images of stores in large cities should be compared with the images of stores located in small local cities. In addition, customer behavior when buying goods in large-scale stores should be compared with their behavior when buying goods in traditional markets.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.22 no.1
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• pp.195-218
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• 2009

The results of documentary survey of 81 prescriptions of Hwangnyeonhaedok-tang and Hwangnyeonhaedok-tang blended ones introduced in Dongeuibogam in which there are 42 of prescriptions using Hwangnyeonhaedok-tang as main constituent and 39 of prescriptions using Hwangnyeonhaedok-tang as assistant constituent can be summarized as followings, 1. Hwangnyeonhaedok-tang blended prescriptions using Hwangnyeonhaedok-tang as main constituent are applied to 20 categories of disease such as 7 of external disease from the chapters of various dermatos is, various injury, tumor(16.6%), 5 of fire disease from the chapter of fire(12%), 5 of eye diseases from the chapter of eye(12%), 4 of disease originated from damage by coldness from the chapter of coldness(9%), etc. 2, It has been found that mainly considered causative agents in diseases, when making up Hwangnyeonhaedok-tang blended prescriptions using Hwangnyeonhaedok-tang as main constituent, are feverish toxin in internal organs, followed by exogenous damp and fever, feverish toxin from damage by coldness and more such as extravasated blood, damp toxin, lack of ki and blood, lack of yin, congestion, the seven passions, blood overflow and excess liquor and sex.

• Korean Journal of Culture and Social Issue
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• v.21 no.3
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• pp.355-376
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• 2015

This study purposed to reveal the process of change in dismissed workers' experiences at dismissal and the subsequent period of unemployment. For this purpose, six dismissed workers' psychological experiences were explored using the phenomenological method as one of qualitative research methods. Data were collected through in-depth interviews with the workers on their psychological experiences at dismissal, continuous psychological or physical changes after dismissal, current state, etc. and from the analysis of the data were derived 12 sub-themes and they were categorized into four main themes. The four main themes were 'emotions experienced with dismissal,' 'psychological and physical symptoms,' 'patterns of social perception,' 'and ways of coping with dismissal.' The main themes and their sub-categories were described, and dismissed workers' specific experiences related to them were explained. Lastly, dismissed workers' changes and experiences were discussed based on previous studies.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.1
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• pp.211-216
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• 2012

Background: Patients' demographics, presenting clinical and histopathological features for colo-rectal cancer (CRC) are important factors for patients' outcome and disease prognosis. This study aimed to describe the pattern of CRC in terms of patients' demographics, main presenting symptoms and histopathological features in Al Hassa region of Saudi Arabia. Subjects and Methods: A retrospective hospital records-based study which included reviewing of patients' records diagnosed with CRC at three general hospitals in Al Hassa region, Saudi Arabia. A compilation form was designed to collect information regarding socio-demographics, age at diagnosis; referral sites and the main presentations at CRC diagnosis. sites and the main presentations at CRC diagnosis. Histopathological reports were reviewed to delineate the main cytopathologic features, prominent cytological characteristics, the presence of predisposing pathology, and disease stage. Results: Of the 142 cases with CRC, 15.5% and 33.1% were affected before 40 and 50 years of age respectively. Emergency rooms were main referral sites for CRC cases (31.0%). Right colon was affected in 16.9% while left colonic lesions accounted for 62.7%. Intestinal obstruction was the main presentations (41.5%), and 26.1% presented with symptoms indicating distant metastastic lesions. Adenocarcinoma was the predominant pathological lesions (86.6%). Metastastic CRC was diagnosed in 62.7%. Duke's staging showed that 22.5% and 40.1% of lesions were classified into C and D categories respectively. Conclusion: Saudi patients with CRC present late with distant metastasis, and advanced disease stage. A sizeable proportion of patients developed the lesions at relatively young age. Screening recommendations should be enacted and revised in response to current change with younger age of affection.

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.2195-2196
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• 2006

This study is for implementation of PC based Motor fault diagnosis system. By using harmonics and current signals of the motor, this system diagnoses the motor condition by accumulated harmonic contribution rate. In this proposed system that was composed of 5 parts. A sensor, connection box, evaluation board, device server, and main computer are those. There were two types of sensor, one was harmonic sensor the other was current sensors. The signal was acquired by sensor, and transferred to evaluation board. Second one is connection box. Because the output type of sensor and input type of evaluation board is different, connection box was necessary. Third one was evaluation board. The signal from the sensor was converted to digital signal in evaluation board. And this signal was transferred to device server. Fourth one was device server. Device server transferred the data from evaluation board to main computer. And the last one was other parts controlled by main computer. In main computer, there were communication and diagnosis algorithms. The result was derived by main computer. In the result, there were 12 categories and 5 levels of motor conditions. The proposed system had some advantages comparing with stand alone type commercial motor fault diagnosis system. The first, by using remote access it was easier to get the conditions of motor. The second, there was no need to handle the sensors when users measured the motor signals. By this property, no one was necessary at motor location site. The third, this system was less restricted by times and places than commercial stand alone type diagnosis system. Therefore users can operate this system only using the main computer. Once the sensors are installed at the motor, users doesn't need to move to check up the condition of motors. Moreover, if there is ethernet hub, many motors can be not only diagnosed at once but also decreased its cost.

• Proceedings of the KIEE Conference
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• 2006.07a
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• pp.563-564
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• 2006

This study is for implementation of PC based Motor fault diagnosis system. By using harmonics and current signals of the motor, this system diagnoses the motor condition by accumulated harmonic contribution rate. In this proposed system that was composed of 5 parts. A sensor, connection box, evaluation board, device server, and main computer are those. There were two types of sensor, one was harmonic sensor the other was current sensors. The signal was acquired by sensor, and transferred to evaluation board. Second one is connection box. Because the output type of sensor and input type of evaluation board is different, connection box was necessary. Third one was evaluation board. The signal from the sensor was converted to digital signal in evaluation board. And this signal was transferred to device server Fourth one was device solver. Device server transferred the data from evaluation board to main computer. And the last one was other parts controlled by main computer. In main computer, there were communication and diagnosis algorithms. The result was derived by main computer. In the result, there were 12 categories and 5 levels of motor conditions. The proposed system had some advantages comparing with stand alone type commercial motor fault diagnosis system. The first, by using remote access it was easier to get the conditions of motor. The second, there was no need to handle the sensors when users measured the motor signals. By this Property, no one was necessary at motor location site. The third, this system was less restricted by times and places than commercial stand alone type diagnosis system. Therefore users can operate this system only using the main computer. Once the sensors are installed at the motor, users doesn't need to move to check up the condition of motors. Moreover, if there is ethernet hub, many motors can be not only diagnosed at once but also decreased its cost.

• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.1229-1230
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• 2006

This study is for implementation of PC based Motor fault diagnosis system. By using harmonics and current signals of the motor, this system diagnoses the motor condition by accumulated harmonic contribution rate. In this proposed system that was composed of 5 parts. A sensor, connection box, evaluation board, device server, and main computer are those. There were two types of sensor, one was harmonic sensor the other was current sensors. The signal was acquired by sensor, and transferred to evaluation board. Second one is connection box. Because the output type of sensor and input type of evaluation board is different, connection box was necessary. Third one was evaluation board. The signal from the sensor was converted to digital signal in evaluation board. And this signal was transferred to device server. Fourth one was device server. Device server transferred the data from evaluation board to main computer. And the last one was other parts controlled by main computer in main computer, there were communication and diagnosis algorithms. The result was derived by main computer. In the result, there were 12 categories and 5 levels of motor conditions. The proposed system had some advantages comparing with stand alone type commercial motor fault diagnosis system. The first, by using remote access it was easier to get the conditions of motor. The second, there was no need to handle the sensors when users measured the motor signals. By this property, no one was necessary at motor location site. The third, this system was less restricted by times and places than commercial stand alone type diagnosis system. Therefore users can operate this system only using the main computer. Once the sensors are installed at the motor, users doesn't need to move to check up the condition of motors. Moreover, if there is ethernet hub, many motors can be not only diagnosed at once but also decreased its cost.

• Proceedings of the KIEE Conference
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• 2006.07c
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• pp.1689-1690
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• 2006

This study is for implementation of PC based Motor fault diagnosis system. By using harmonics and current signals of the motor, this system diagnoses the motor condition by accumulated harmonic contribution rate. In this proposed system that was composed of 5 parts. A sensor, connection box, evaluation board, device server, and main computer are those. There were two types of sensor, one was harmonic sensor the other was current sensors. The signal was acquired by sensor, and transferred to evaluation board. Second one is connection box. Because the output type of sensor and input type of evaluation board is different, connection box was necessary. Third one was evaluation board. The signal from the sensor was converted to digital signal in evaluation board. And this signal was transferred to device server. Fourth one was device server Device server transferred the data from evaluation board to main computer. And the last one was other parts controlled by main computer. In main computer, there were communication and diagnosis algorithms. The result was derived by main computer. In the result, there were 12 categories and 5 levels of motor conditions. The proposed system had some advantages comparing with stand alone type commercial motor fault diagnosis system. The first, by using remote access it was easier to get the conditions of motor. The second, there was no need to handle the sensors when users measured the motor signals. By this property, no one was necessary at motor location site. The third, this system was less restricted by times and places than commercial stand alone type diagnosis system. Therefore users can operate this system only using the main computer. Once the sensors are installed at the motor, users doesn't need to move to check up the condition of motors. Moreover, if there is ethernet hub, many motors can be not only diagnosed at once but also decreased its cost.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.3_4 s.141
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• pp.425-437
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• 2005

The purpose of this study was to identify the categories and contents of the cognitive inferences of both men and women regarding the style and color of clothing. The study was conducted by survey method, using open-ended questions. The data were collected from 420 male/female university students and analyzed by the qualitative method. The main results are as follows: First, cognitive inferences are formed from stereotypes that fall into six categories--appearance, personality, background, behavior, situation, and reaction. Second, there are some differentiations in these stereotypes depending on clothing style and color. Specifically, the amount of exposure represented in the clothing style is a salient features, one that shows situational attribution. Third, the strength of stereotype differs depending on the sex of perceivers: women indicate a stronger tendency to stereotype-based on clothing-than do men. In conclusion, each of cognitive inferences occurs between wearer and the actual perceiver. Stereotypes are important determining factors fDr making cognitive inferences.