• English Language & Literature Teaching
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• no.1
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• pp.21-42
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• 1995

The purpose of this study is to point out that the segment-based study on child phonological acquisition is not sufficient in accounting for the ever-changing dynamic development of child phonology and to attempt to explain child phonology in terms of syllable-based theory of phonology, one of various types of non -linear phonology which have been studied since the late 1970's. According to Gruber's observation. it is obvious that children perceive their own concept of syllable even at the early stage of babbling. In addition, the statistical data show that the CV-type syllable is most frequently used in child phonology. These evidences seem to suffice to conclude that the CV-type syllable is the most unmarked of all four core syllable types in the sense of Clements & Keyser(1983). Starting with this observation, it is further argued that in child phonology the markedness of syllable types increases in the order of CV, CVC, VC and V.

• Korean Institute of Interior Design Journal
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• v.20 no.6
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• pp.183-191
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• 2011

This study is to set up the appropriate range of observation time through contemplating the characteristics of observation time run for the information acquisition of space. The conclusions reached through this study are as the followings. First, this study could find out that even though the evaluation elements on the three types for image evaluation were the same, the information acquisitions were different as those types varied. On the other hand, the change of the average run-time by type for the information acquisition was found not to be big, in other words, even though the run-time was alike, the information acquisitions varied depending on the type. Second, he evaluation by language media showed the average value by element had the order of [shape>position>number>existence] and the range of their run-time was 94.6~102.9 seconds. The average rate of information acquisition shown at the visual media had the order of [composition>shape>material&color] and the range of run-time was 93.1~99.7 seconds. Third, the evaluation by language media showed that for male subjects the range of information acquisition rate was 39.1~91.4% and that of run-time 85.1~106.0 seconds and for female ones 46.0~94.6% and 96.3~112.3 seconds respectively. In case of the visual media, male subjects showed the range of information acquisition rate was 40.3-66.7% and the range of run-time 82.4~97.9 seconds and the female ones, 42.2~71.0% and 94.0~115.1 seconds respectively, through which we could see that at the evaluation by language media and visual media both the female's range of information acquisition and that of observation time were higher than the male's.

• Korean Institute of Interior Design Journal
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• v.24 no.6
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• pp.145-153
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• 2015

For this research with the objects of spaces in two department stores which can be referred to as representative facility of commercial space, observation test has carried out to estimate how much visitors rivet their eyes to the display of shops. In addition, to find out what effect the difference among the department types has on the selective attention to space element, the observation time was applied as a medium for estimation. The followings are the result from analyzing the observation frequency and the observation intensity feature of each section where the characteristics of design could be found at attention. First, both images of A and B had concentrative dominant-observation at left shops. In case of Image A, Customers began to observe the right shops very attentively after 25 seconds, and with Image B, the attentive observation at right and left took place alternatively after 35 seconds. In other words, regardless of the characteristics of shop displays, the left shops were observed first while in case of the observation after the early and middle time-frame the characteristics of shops were found to have effects on observation. Second, the normal observation showed some difference among attention sections over time while on the whole both images of A and B had the same highly attentive observation at the middle space. Accordingly, it could be concluded that the middle space was playing a faithful role as background for commercial spaces. Third, the ignorant observation, which is the opposite to the attentive observation, was found different between the images of A and B. When the ignorant observation is considered to have intentionality, it will be possible to set up the display which may attract the attention aggressively by the process of figuring out the characteristics of ignored shops.

• Communications for Statistical Applications and Methods
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• v.20 no.4
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• pp.283-290
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• 2013

Subjects can experience two types of recurrent events in a longitudinal study. In addition, there may exist intermittent dropouts that results in repeated observation gaps during which no recurrent events are observed. Therefore, theses periods are regarded as non-risk status. In this paper, we consider a special case where information on the observation gap is incomplete, that is, the termination time of observation gap is not available while the starting time is known. For a statistical inference, incomplete termination time is incorporated in terms of interval-censored data and estimated with two approaches. A shared frailty effect is also employed for the association between two recurrent events. An EM algorithm is applied to recover unknown termination times as well as frailty effect. We apply the suggested method to young drivers' convictions data with several suspensions.

• Journal of the Korean earth science society
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• v.25 no.7
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• pp.586-594
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• 2004

This study is the qualitative study in order to discover a direction of field courses by analyzing what elementary school students observe or hypothesis in field courses. The purpose of it is to find any relevancy between the observations and hypotheses generated. The result of the study were as follows; First, most participants have observed mostly based on their vision due to the characteristic of field courses, and the observations of sedimentary layers were mainly generated on the rocks while most hypotheses were on geological structures. Secondly, according to observational descriptions the frequency of the comparative observation was high as well as the cases when two different types of observations were joined together. The last conclusion from this investigation is, according to the standard of observational types, the hypotheses combined with the interpretive observation and comparative observation had the greatest percentage. This shows that many participants tried to rationalize their thoughts by interpreting geological structures and comparing them with other people's cases as well. Scientific explanatory hypotheses were mainly found according to the standard of hypothetical types, which can be constructed that those participants tried to explain and apply established knowledge and preconception.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.26 no.1
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• pp.1-10
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• 2021

In this study, Information for the case of seawater flooding and observation data over a period of 10 years (2009~2018) was collected. Using machine learning algorithms, the characteristics of the types of seawater flooding and observations by type were classified. Information for the case of seawater flooding was collected from the reports of the Korea Hydrographic and Oceanographic Agency (KHOA) and the Korea Land and Geospatial Informatics Corporation. Observation data for ocean and meteorological were collected from the KHOA and the Korea Meteorological Agency (KMA). The classification of seawater flooding incidence types is largely categorized into four types, and into 5 development types through combination of 4 types. These types were able to distinguish the types of seawater flooding according to the marine weather environment. The main characteristics of each was classified into the following groups: tidal movement, low pressure system, strong wind, and typhoon. Besides, in consideration of the geographical characteristics of the ocean, the thresholds of ocean factors for seawater flooding by region and type were derived.

• Atmosphere
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• v.29 no.4
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• pp.439-450
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• 2019

Present weather plays an important role not only for atmospheric sciences but also for public welfare and road safety. While the widely used state-of-the-art visibility and present weather sensor yields present weather, a single type of measurement is far from perfect to replace long history of human-eye based observation. Truly automatic present weather observation enables us to increase spatial resolution by an order of magnitude with existing facilities in Korea. 8 years of human-eyed present weather records in 19 sites over Korea are compared with visibility sensors and auxiliary measurements, such as humidity of AWS. As clear condition agrees with high probability, next best categories follow fog, rain, snow, mist, haze and drizzle in comparison with human-eyed observation. Fog, mist and haze are often confused due to nature of machine sensing visibility. Such ambiguous weather conditions are improved with empirically induced criteria in combination with visibility and humidity. Differences between instrument manufacturers are also found indicating nonstandard present weather decision. Analysis shows manufacturer dependent present weather differences are induced by manufacturer's own algorithms, not by visibility measurement. Accuracies of present weather for haze, mist, and fog are all improved by 61.5%, 44.9%, and 26.9% respectively. The result shows that automatic present weather sensing is feasible for operational purpose with minimal human interactions if appropriate algorithm is applied. Further study is ongoing for impact of different sensing types between manufacturers for both visibility and present weather data.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.119-124
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• 2011

The purpose of the paper was to develop an observation measure for analyzing the teaching and learning activities in ubiquitous-based learning. To develop the measure, we reviewed the literature related to the measure and identified the valid observation domain and indicators. In the procedure, we did a pilot study for validating the measure and its indicators, and in the end, finalized it. The observation measure consists of: types of instruction, teaching and learning strategies, learning activities, use of technology, evaluation process, and wrap-up. In addition, we added the qualitative domain, which needs for monitoring and writing more specific teaching and learning activities in ubiquitous-based learning.

• Korean Journal of Remote Sensing
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• v.36 no.5_1
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• pp.693-706
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• 2020

For ten meteorological observatories running an automated synoptic observing system (ASOS), we classified the observation environments into five classes based on the World Meteorological Organization (WMO) classification guidelines. Obstacles (such as topography and buildings) and land-cover types were the main factors in evaluating the observation environments for the sunshine duration, air-temperature, and surface wind. We used the digital maps of topography, buildings, and land-cover types. The observation environment of the sunshine duration was most affected by the surrounding buildings when the solar altitude angle was low around the sunrise and sunset. The air-temperature observation environment was determined based on not only the solar altitude angle but the distance between the heat/water source and ASOS. There was no water source around the ASOSs considered in this study. Heat sources located near some ASOSs were not large enough to affect the observation environment. We evaluated the surface wind observation environment based on the roughness length around the ASOS and the distance between surrounding buildings and the ASOS. Most ASOSs lay at a higher altitude than the surroundings and the roughness lengths around the ASOSs were small enough to satisfy the condition for the best level.

• Journal of the Korean earth science society
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• v.42 no.5
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• pp.504-513
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• 2021

Different physical processes, according to the atmospheric boundary layer types, were used in the Local Data Assimilation and Prediction System (LDAPS) of the Unified Model (UM) used by the Korea Meteorological Administration (KMA). Therefore, it is important to verify the atmospheric boundary layer types in the numerical model to improve the accuracy of the models performance. In this study, the atmospheric boundary layer types were verified using observational data. To classify the atmospheric boundary layer types, summer intensive observation data from radiosonde, flux observation instruments, Doppler wind Light Detection and Ranging(LIDAR) and ceilometer were used. A total number of 201 observation data points were analyzed over the course 61 days from June 18 to August 17, 2019. The most frequent types of differences between LDAPS and observed data were type 1 in LDAPS and type 2 in observed(each 53 times). And type 3 difference was observed in LDAPS and type 5 and 6 were observed 24 and 15 times, respectively. It was because of the simulation performance of the Cloud Physics such as that associated with the simulation of decoupled stratocumulus and cumulus cloud. Therefore, to improve the numerical model, cloud physics aspects should be considered in the atmospheric boundary layer type classification.