• Journal of Navigation and Port Research
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• v.35 no.2
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• pp.149-157
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• 2011

The objective of this study was to compare the attitude of merchant marine student of Thailand in 3 aspects; cognitive, affective and behavioral classified by institutes, domiciles, parent's occupation, parent's income per month, motivation and information receiving concerning mariner profession. The sample used in this study consisted of 867students in maritime institutes of Thailand. The instrument implemented in collecting data was a set of 30 five rating scale questionnaires. The statistical methods applied in analyzing the data were mean, standard deviation, t-test and one way analysis of variance and fisher's LSD. The results of this research shows that the attitude in vocational education of Thai merchant marine student was of the high in every aspect. Attitude for mariner profession of Thai merchant marine student in terms of different institutes had different in all aspects. In terms of different domiciles, it shows different attitude in affection and similar attitude in cognition and behavior. In terms of parent's occupation, it shows similar in all aspects. In terms of parent's income per month, it shows different attitude in cognition and affection and similar attitude in behavior. In terms of motivation, it shows similar in all aspects. In terms of information receiving concerning mariner profession, it shows different attitude in all aspects.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.7
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• pp.1144-1150
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• 2016

Short-term load forecasting is essential to the electricity pricing and stable power system operations. The conventional weekday 24-hour load forecasting algorithms consider the temperature model to forecast maximum load and minimum load. But 24-hour load pattern forecasting models do not consider temperature effects, because hourly temperature forecasts were not present until the latest date. Recently, 3 hour temperature forecast is announced, therefore hourly temperature forecasts can be produced by mathematical techniques such as various interpolation methods. In this paper, a new 24-hour load pattern forecasting method is proposed by using similar day search considering the hourly temperature. The proposed method searches similar day input data based on the anomalous weather features such as continuous temperature drop or rise, which can enhance 24-hour load pattern forecasting performance, because it uses the past days having similar hourly temperature features as input data. In order to verify the effectiveness of the proposed method, it was applied to the case study. The case study results show high accuracy of 24-hour load pattern forecasting.

• Korean Linguistics
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• v.72
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• pp.257-282
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• 2016

The aim of this paper is to research phonological and morphological features in Korean Voices from Berlin. The Korean Voices from Berlin was recorded in 1917 at Berlin by 5 Korean prisoners engaged in World War I, some of them came from North Hamgyeong Province, the others came from Pyeongan Province, therefore these data show a North Korean regional dialect. The data are composed of three materials, counting numbers, reciting scriptures and singing folksongs. The results of this research are as follows. 1) The consonant system of Korean voices is similar to standard Korean. The 19 consonants are classified according to 5 manners of articulations and 5 points of articulations. 2) The liquid /l/ has three allophones, [ɾ] appeared in an onset position, [l] in a word medial coda position or preceded by [l], [ɹ] in a word final coda position. 3) The vowel system of Korean voices is similar to early 20th Korean's. It has 8 monophthongs, /a, ʌ, o, u, ɯ, i, e, ${\varepsilon}$/. 4) The 1 to 10 numbers in Korean voices are similar to Middle-Korean numerals. 5) The genitive particle '/ɯi/의' is pronounced [i], [ɯ], [${\varepsilon}$], especially [ɯ] is appeared in Sino Korean. 6) The /l/-deletion of conjugations are similar to Middle-Korean, /l/ deletion always occurred, if [+cor] consonants are followed.

• Journal of Korea Multimedia Society
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• v.21 no.2
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• pp.211-223
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• 2018

To understand the meaning of data is a common goal of research on unstructured data. Among these unstructured data, there are difficulties in analyzing the meaning of unstructured data related to corpus and sentences. In the existing researches, the researchers used LSA to select sentences with the most similar meaning to specific words of the sentences. However, it is problematic to examine many sentences continuously. In order to solve unstructured data classification problem, several search sites are available to classify the frequency of words and to serve to users. In this paper, we propose a method of classifying documents by using the frequency of similar words, and the frequency of non-relevant words to be applied as weights, and storing them in terms of a multi-pattern storage. We use Tensorflow's Softmax to the nearby sentences for machine learning, and utilize it for unstructured data analysis and the inference of traffic information.

• 한국지구물리탐사학회:학술대회논문집
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• 2007.12a
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• pp.63-72
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• 2007

Current estimates of the ice-mass balance over the Greenland and the Antarctica using retrievals of time-varying gravity from GRACE are presented. Two different GRACE gravity data, UTCSR RL01 and UTCSR RL04, are used for the estimates to examine the impact of the relative accuracy of background models in the GRACE data processing for inter-annual variations of GRACE gravity data. In addition, the ice-mass balance is appraised from the conventional GRACE data, which represents global gravity, and the filtered GRACE data, which isolates the terrestrial gravity effect from GRACE gravity data. The former estimate shows that there exists similar negative trends of ice-mass balance over the Greenland from UTCSR RL01 and UTCSR RL04 while the time series from the both GRACE data over the Antarctica differ significantly from each other, and no apparent trends are observed. The result for the Greenland from the latter calculation is similar to the former estimate. However, the latter calculation presents positive trends of ice-mass balance for the Antarctica from both GRACE data. These results imply that residual oceanic geophysical signals, particularly for ocean tides, significantly corrupt the ice-mass estimate over the Antarctica as leakage error. In addition, the spatial alias of GRACE is likely to affect the ice-mass balance because the spatial spectrum of ocean tides is not conserved via GRACE sampling, and thus ocean tides contaminate terrestrial gravity signal. To minimize the alias effect, I suggest to use the combined gravity models from GRACE, SLR and polar motion.

• Journal of Astronomy and Space Sciences
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• v.2 no.2
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• pp.131-151
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• 1985

Fundamental data for 400 classical cepheids have been compiled. The PC-relation is derived and compared with similar relations for the Magellanic Clouds; it is fund that the differences are not great.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.5782-5799
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• 2018

With the development of GPS and the popularity of mobile devices with positioning capability, collecting massive amounts of trajectory data is feasible and easy. The daily trajectories of moving objects convey a concise overview of their behaviors. Different social roles have different trajectory patterns. Therefore, we can identify users or groups based on similar trajectory patterns by mining implicit life patterns. However, most existing daily trajectories mining studies mainly focus on the spatial and temporal analysis of raw trajectory data but missing the essential semantic information or behaviors. In this paper, we propose a novel trajectory semantics calculation method to identify groups that have similar behaviors. In our model, we first propose a fast and efficient approach for stay regions extraction from daily trajectories, then generate semantic trajectories by enriching the stay regions with semantic labels. To measure the similarity between semantic trajectories, we design a semantic similarity measure model based on spatial and temporal similarity factor. Furthermore, a pruning strategy is proposed to lighten tedious calculations and comparisons. We have conducted extensive experiments on real trajectory dataset of Geolife project, and the experimental results show our proposed method is both effective and efficient.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.4B
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• pp.162-169
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• 2005

Network traffic measurements show that the data traffic on packet switched networks has the self-similar features which is different from the traditional traffic models such as Poisson distribution or Markovian process model. Most of the call admission control researches have been done on the performance analysis of a single network switch. It is necessary to consider the performance analysis of the proposed admission control scheme under interconnected switch environment because the data traffic transmits through switches in networks. From the simulation results, it is shown that the call admission control scheme may not operate properly on the interconnected switch even though the scheme works well on a single switch. In this parer, we analyze the cell loss probability, utilization and self-similarity of output ports of the interconnected networks switch by using shared buffer memory management schemes and propose the new call admission control scheme considering the interconnected network switches under self-similar traffic environments.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.18 no.1
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• pp.64-71
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• 2010

As the ultimate goal of the Aeronautical communication is delivery of information, it is essential to communicate via accurate use of language; there are possibilities of errors occurring as the exchange of information between pilot and air traffic controller is conducted through radio communication. Especially, there are frequently reported errors in radio communication in the event that two or more aircrafts using similar call-signs are operated in one sector. In this paper, a list of errors, which can possibly caused by air traffic controllers when controlling airplanes using similar call-signs, was derived through preceding researches and theories related to similar call-signs and human errors. Based on this list, an experiment was conducted on 52 air traffic controllers working at "J" international airport. For this experiment, ATC2K which is a simulated approach control radar developed in Korea, was used; and a regression formula was derived by analyzing the quantity of frequency change in error occurrence when controlling two or more airplanes using similar call-signs base on a premeditated scenario.The data presented in this research has useful findings and concepts for understanding the errors that can possibly occur while controlling airplanes using similar call-signs.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.176-181
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• 2011

A role of cost modeler is that of facilitating design process by the systematic application of cost factors so as to maintain sensible and economic relationships between cost, quantity, utility and appearance. These relationships help to achieve the client's requirements within an agreed budget. The purpose of this study is to develop a parametric cost estimating model for the early design stage by using the multi-dimensional system of OLAP (On-line Analytical Processing) based on the case of quantity data related to architectural design features. The parametric cost estimating models have been adopted to support decision making in the early design stage. These models typically use a similar instance or a pattern of historical case. In order to effectively use this type of data model, it is required to set data classification and prediction methods. One of the methods is to find the similar class in line with attribute selection measure in the multi-dimensional data model. Therefore, this research is to analyze the relevance attribute influenced by architectural design features with the subject of case-based quantity data used for the parametric cost estimating model. The relevance attributes can be analyzed by Analytical Characterization. It helps determine what attributes to be included in the OLAP multi-dimension.