• Journal of the Korean earth science society
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• v.25 no.8
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• pp.799-811
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• 2004

In this one species of planktonic foraminifers, Neogloboquadrina pachyderma, which has been collected from the sediments cores in the northeast Pacific ODP sites, was computerized through using digitalized images. The foraminiferal communities were analyzed, and the coiling direction of the N. pachyderma was determined by using computer progamming technology. In this way by appling algorithm-based method of reading, the tasks of sorting and analyzing the foraminiferal indiniduals and communities can be performad and high speed on a very large amount of specimens collected. It is found that the study had 90% accordance with the result of stereoscopic observation. This result suggested that digital image analysis could be successfully adopted in the field of micropaleontology.

• Phonetics and Speech Sciences
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• v.8 no.3
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• pp.61-66
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• 2016

The purpose of this study is to examine the speaking rate(overall speaking rate and articulatory rate) of Parkinson's disease patients with palilalia(PDP). Palilalia is traditionally characterized by not only compulsive repetitions of words and phrases, but also by increased rate of speech based on auditory perception. Since Souques(1908) first characterized palilalia as fast speech rate from the perspective of auditory perception, few studies have evaluated PDP speech using acoustic methods. To compare the speech rate between PDP and normal subjects, we included five PDP and eight control subjects(age over 55), as well as the date acquired under reading tasks(standardized Korean paragraph). The difference in median of the overall speaking rate was not statically significant between the PDP group(median 5.25, IQR 1.30) and normal group(median 4.76, IQR 0.71). The PDP, however, had a significantly higher syllables per second on the articulatory rate(median 6.60, IQR 1.04) than normal subjects(median 5.60, IQR 0.52). Results indicated no differences in pause over 250msec and disfluency duration between the two groups. To provide useful insight into PDP speech, multiple levels of analysis should be employed.

• Phonetics and Speech Sciences
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• v.8 no.2
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• pp.65-71
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• 2016

The purpose of this study is to examine the prosodic pattern of the children with high functioning autism spectrum disorder(HFASD) according to sentence type. The participants were 18 children aged from 7 - 9 years; 9 children with HFASD and 9 typical development children(TD) of the same chronological age with HFASD children. Sentence reading tasks were conducted in this study. Seven interrogative sentences and 7 declarative sentences were presented to the participants and were asked to read the sentences three times. Mean values of F0, F0 range, intensity, speech rate and pitch contour were measured for each sentence. The results showed that for F0 range, significant main effect and interaction effect were observed in the subject group and sentence type. There were significant differences in intensity, mean F0, speech rate, pitch contour across sentence types. The results of this study indicated that HFASD showed no difference in intonation across sentence types. Speakers' intention may have a negative effect on pragmatic aspects. These results suggest that the assessment and intervention of prosody be important for HFASD.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.594-597
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• 2007

We present in this paper a novel mid and long term power load prediction method using temporal pattern mining from AMR (Automatic Meter Reading) data. Since the power load patterns have time-varying characteristic and very different patterns according to the hour, time, day and week and so on, it gives rise to the uninformative results if only traditional data mining is used. Also, research on data mining for analyzing electric load patterns focused on cluster analysis and classification methods. However despite the usefulness of rules that include temporal dimension and the fact that the AMR data has temporal attribute, the above methods were limited in static pattern extraction and did not consider temporal attributes. Therefore, we propose a new classification method for predicting power load patterns. The main tasks include clustering method and temporal classification method. Cluster analysis is used to create load pattern classes and the representative load profiles for each class. Next, the classification method uses representative load profiles to build a classifier able to assign different load patterns to the existing classes. The proposed classification method is the Calendar-based temporal mining and it discovers electric load patterns in multiple time granularities. Lastly, we show that the proposed method used AMR data and discovered more interest patterns.

• English Language & Literature Teaching
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• v.15 no.4
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• pp.157-175
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• 2009

This paper offers a critical review of a newspaper argument regarding the problems of high school education assessment for university entrance examination system in the United Kingdom. The media account raises three sets of questioning to hold that the nation's long-standing A-levels have failed and is no longer viable as a high-stakes test. However, it is found that the writer's argumentations involving misleading conceptions can be deconstructed because of invalid reasoning and unreliable evidence. So, it is proposed that a reasonable solution to replace the discredited A-level exams should be to adopt an eclectic approach for assessing candidates' multiple capabilities; performance, potentiality and critical thinking skills. These criteria for component-oriented assessments are designed to measure their high school academic achievements and intellectual capacity for tertiary education; in the process of such measurement, critical-logical reasoning abilities for sound judgment and problem-solving tasks should be incorporated with the basic precondition that each university possesses its own discretion for the determination of adequate proportions to reflect each of the assessment outcomes. It is, therefore, expected that this critical review will inspire the readers to understand aspects of assessment as an educational field and to confirm how seriously they may be misguided by a distorted media argumentation without substantive background knowledge.

• International journal of advanced smart convergence
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• v.5 no.4
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• pp.48-53
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• 2016

In this paper, all elements used in integrated infrastructure for job competency assessments of NCS (National Competency Standards) will be merged into assessment system using multiple devices(ASMD). NCS is a systematic approach on required abilities (knowledge, technical expertise, attitude) to process the tasks in the fields by industry. Competiveness of ASMD design is that no limitation of time and space using personal devices like PC, laptop, smartphone, and tablet, while seeing screen, hearing, touching, speaking, and writing. Question type can be limitless to express the situation. To lead technologies and market for domestic and oversea assessment system, supporting on multiple devices with connectivity that will eliminate limitation of time and space is the key feature for design competitiveness. Design of integrated assessment system proposed in this paper can be applied to NCS, fundamental competency evaluation, online test, job aptitude test, and foreign language test which involve listening, reading, writing, and speaking. Compared with existing evaluation method, reduction of investment and operating cost will be greater. Along with development of ICT technologies, the next generation of integrated assessment system will be quickly changed to ASMD, which already involves connected service between internet and smart devices.

• Speech Sciences
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• v.14 no.3
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• pp.77-89
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• 2007

This paper examined the intonation contours of English sentences produced by the Korean students. Thirty students participated in the speaking tasks made up of three parts: an oral interview, picture description and a conversational text reading. Their pronunciations in the parts were recorded on a minidisk. Then, two native instructors evaluated their proficiency level focusing on general intelligibility and suprasegmental aspects of the speech. Based on the results of evaluation they were divided into two groups: high and low proficiency groups. The pitch contours of three sentences produced by both the Korean students and a native speaker were compared to find any similarities and differences in the students' intonation patterns using Praat. Results showed that there was a moderate correlation in the proficiency scores of the students by the two native speakers. Secondly, students who earned high scores in the proficiency level matched better the native model. Thirdly, the high group students knew more on the pitch contour and tried to carefully realize them while fewer students in the low group answered positively on the questionnaire. In conclusion, English learners need to know the proper intonation patterns and to practice them consciously and sufficiently to realize correct intonation contours. Further studies would be desirable on the students' pronunciation focused on discourse structure.

• Journal of Korean language education
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• v.25 no.1
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• pp.115-144
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• 2014

The purpose of this paper is to compare the two different instruction methods for Korean learners of academic purposes in learning request expression. Participants were divided into two groups, explicit and implicit group. Both groups viewed several scenes from the drama that involved native speakers interacting in different situations. The instructional treatment for the explicit group included metapragmatic information while the treatment for the implicit group did not. On the other hand, the treatment for the implicit group followed implicit techniques, which were repetition of the video presentation and a script reading activity. This study was made up of a pre-test, a post-test, and a delayed-test. The pre-test was conducted prior to the instructional treatment. The post-test was administered a day after the last instruction and the delayed-test was conducted five weeks after the treatments. Two types of tests, speaking and writing, were used in this study to examine subjects' knowledge of Korean request. The result of this research reveals that implicit treatment was more effective than explicit treatment in Korean learners' request acquisition. This results might have been due to the operationalization of the implicit condition in this study. Implicit instruction may help language learners make rules by themselves through tasks.

• Psychiatry investigation
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• v.15 no.12
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• pp.1144-1153
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• 2018

Objective One of the areas of social cognition is Theory of Mind (ToM) is defined as the capacity to interpret, infer and explain mental states underlying the behavior of others. When social cognition studies on neurodevelopmental disorders are examined, it can be seen that this skill has not been studied sufficiently in children with Specific Learning Disorder (SLD). Methods In this study, social cognition skills in children diagnosed with attention deficit hyperactivity disorder (ADHD), SLD or Autism Spectrum Disorder (ASD) evaluated before puberty and compared with controls. To evaluate the ToM skills, the first and second-order false belief tasks, the Hinting Task, the Faux Pas Test and the Reading the Mind in the Eyes Task were used. Results We found that children with neurodevelopmental disorders as ADHD, ASD, and SLD had ToM deficits independent of intelligence and language development. There was a significant correlation between social cognition deficits and problems experienced in many areas such as social communication and interaction, attention, behavior, and learning. Conclusion Social cognition is an important area of impairment in SLD and there is a strong relationship between clinical symptoms and impaired functionality.

• Journal of the Korean Society of Radiology
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• v.83 no.6
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• pp.1208-1218
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• 2022

In the medical field, artificial intelligence has been used in various ways with many developments. However, most artificial intelligence technologies are developed so that one model can perform only one task, which is a limitation in designing the complex reading process of doctors with artificial intelligence. Multi-task learning is an optimal way to overcome the limitations of single-task learning methods. Multi-task learning can create a model that is efficient and advantageous for generalization by simultaneously integrating various tasks into one model. This study investigated the concepts, types, and similar concepts as multi-task learning, and examined the status and future possibilities of multi-task learning in the medical research.