• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.91-100
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• 2022

To support early intervention, it is necessary to develop programming system tools that enable accurate, valid, and reliable assessments and can help achieve reasonable, generalizable, and measurable goals. This study examined the Assessment, Evaluation, and Programming System (AEPS) used by associations of children with disabilities in Saudi Arabia to assess its suitability for children with intellectual disabilities. A group of 16 specialists with different professional backgrounds (including special education, physiotherapy, occupational therapy, speech therapy and psychology) from 11 associations of children with disabilities took part in semi-structured personal interviews. The study concluded that AEPS is generally suited for use with children with intellectual disabilities. However, its suitability depends on the type and severity of the child's disability. The more severe the disability, the less effective the AEPS is likely to be. On the basis of this finding the researchers formed interdisciplinary teams to organise and integrate the children's learning and assess the benefits of AEPS, including its accuracy and ability to achieve adaptive, cognitive, and social targets, enhance family engagement and learning and develop basic development skills. This study also identified obstacles associated with the use of AEPS. These include the lack of comprehensiveness and accuracy of the goal, lack of precision and non-applicability to large movements and the fact that it cannot be used with all children with intellectual disabilities. In addition, the research showed that non-cooperation within the family is a major obstacle to the implementation of the AEPS. The results of this study have several implications.

• Journal of the Korean Society of Radiology
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• v.17 no.3
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• pp.297-303
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• 2023

Pediatric Computed Tomography (CT) examinations can often result in exam failures or the need for frequent retests due to the difficulty of cooperation from young patients. Deep Learning Image Reconstruction (DLIR) methods offer the potential to obtain diagnostically valuable images while reducing the retest rate in CT examinations of pediatric patients with high radiation sensitivity. In this study, we investigated the possibility of applying DLIR to reduce artifacts caused by respiration or motion and obtain clinically useful images in pediatric chest CT examinations. Retrospective analysis was conducted on chest CT examination data of 43 children under the age of 7 from P Hospital in Gyeongsangnam-do. The images reconstructed using Filtered Back Projection (FBP), Adaptive Statistical Iterative Reconstruction (ASIR-50), and the deep learning algorithm TrueFidelity-Middle (TF-M) were compared. Regions of interest (ROI) were drawn on the right ascending aorta (AA) and back muscle (BM) in contrast-enhanced chest images, and noise (standard deviation, SD) was measured using Hounsfield units (HU) in each image. Statistical analysis was performed using SPSS (ver. 22.0), analyzing the mean values of the three measurements with one-way analysis of variance (ANOVA). The results showed that the SD values for AA were FBP=25.65±3.75, ASIR-50=19.08±3.93, and TF-M=17.05±4.45 (F=66.72, p=0.00), while the SD values for BM were FBP=26.64±3.81, ASIR-50=19.19±3.37, and TF-M=19.87±4.25 (F=49.54, p=0.00). Post-hoc tests revealed significant differences among the three groups. DLIR using TF-M demonstrated significantly lower noise values compared to conventional reconstruction methods. Therefore, the application of the deep learning algorithm TrueFidelity-Middle (TF-M) is expected to be clinically valuable in pediatric chest CT examinations by reducing the degradation of image quality caused by respiration or motion.

• Journal of Korean society of Dental Hygiene
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• v.9 no.4
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• pp.633-643
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• 2009

Objectives : This study is aimed to help the dental hygiene department students to improve their adaptive ability to the field work by letting them know the performing levels required of the job world, by renovating the knowledge-centered curriculum, and by finding out the core competencies needed for successfully performing their duties and tasks in the work field. Methods : The survey tool was recomposed through the examination of the preceeding studies on basic vocational competencies and skills, and the survey has been done to 200 dentists in Seoul and Gyunggi provice. Results : 1. As for the job-getting routs, 35.1% of them finds their jobs through the job portal sites, and 21.3% through the recommendation by professors. So we can see the meaningful difference in the employment ways. 2. Dental hygiene clinics think that the purpose of their cooperation with the colleges is mainly to secure human resources by requiring the colleges to give field-centered education the colleges through. 3. The clinics for dental hygienic students' field learning have a great power for hiring the students. So it is necessary to set up a good management system of the clinics for dental hygienic students' field learning in order to reinforce the students' competitive power in getting jobs. 4. The priorities in basic working abilities needed for the task performance are in the order of vocational responsibility, self-managing & developing ability, interpersonal skill, and problem solving ability. 5. The core competencies required of those who graduate from dental hygiene school show the following scores by Likert measurement; good personality and vocational consciousness 2.16(${\pm}.677$), understanding power of major-related knowledge 2.19(${\pm}.723$), field adapting ability 2.31(${\pm}.748$), get-along-with ability 2.32(${\pm}.799$), interpersonal skill 2.42(${\pm}.768$), and self-development ability such as getting certificates 2.43(${\pm}.729$). Among the core competencies, the only meaningful factor which influences on their satisfaction measurement has been identified as the professional ability related to the major. Conclusions : The results suggest that the knowledge and skill related to the major are core competencies of able human resources and closely related with the professionality of the job, and so they are very important. However, job basic abilities are also proved to be important, which reinforce the students' activeness, self-regulation, and creativeness, and help them to pursue their lasting growth in their abilities.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.4
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• pp.597-612
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• 2009

This paper is an anthropological study on the regional revitalization movement by the traditional ceramic industry in Mashiko-cho, Japan. It especially deals with the issues like history of revitalization based on ceramics, idealogical features and roles of core activist group, and adaptive strategies of local society to the ever-changing circumstances. The ceramic industry of Mashiko-cho had developed vigorously in 19C, and had passed many critical points in 20C. In 1960s, the ceramic industry of Mashiko-cho developed stably through introducing of Mingei(民藝) ideology and artists. This is evaluated as a 'bottom-up' regional revitalization movement and a active utilization of traditional cultural resources. In Mashiko-cho, the ideological leadership of cultural artist groups have been central roles in the regional revitalization movement. The representative cases are transformation of production of ordinary ceramics to production of Mingei ceramics from the middle of 1950s, official organization of core activist group and establishment of direct sale system by the producers in the middle of 1960s, and full-scale cooperation of private sector and public sector from the beginning of 1980s. Nonetheless the regional revitalization movement by the traditional ceramic industry in Mashikocho have come out well up to now, it should make new tradition which is well-matched to the ever-changing circumstances as seeing various and complex differentiation on the inside of local society.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.3
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• pp.301-315
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• 2010

Recently, competition between companies has intensified and so has the necessity of creating a new business value inventions has increased. A numbers of Business organizations are beginning to realize the importance of business process management. Processes however can often not go the way they were initially designed or non-efficient performance process model could be designed. This can be due to a lack of cooperation and understanding between business analysts and system developers. To solve this problem, business process mining which can be used as the basis of the business process re-engineering has been recognized to an important concept. Current process mining research has only focused their attention on extracting workflow-based process model from competed process logs. Thus there have a limitations in expressing various forms of business processes. The disadvantage in this method is process discovering time and log scanning time in itself take a considerable amount of time. This is due to the re-scanning of the process logs with each new update. In this paper, we will presents a modified FP-Tree algorithm for FP-Tree based business processes, which are used for association analysis in data mining. Our modified algorithm supports the discovery of the appropriate level of process model according to the user's need without re-scanning the entire process logs during updated.

• Journal of the Korean Society for Precision Engineering
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• v.30 no.1
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• pp.11-17
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• 2013

'Multi-scale mass-deployable cooperative robots' is a next generation robotics paradigm where a large number of robots that vary in size cooperate in a hierarchical fashion to collect information in various environments. While this paradigm can exhibit the effective solution for exploration of the wide area consisting of various types of terrain, its technical maturity is still in its infant state and many technical hurdles should be resolved to realize this paradigm. In this paper, we propose to develop new design and manufacturing methodologies for the multi-scale mass-deployable cooperative robots. In doing so, we present various fundamental technologies in four different research fields. (1) Adaptable design methods consist of compliant mechanisms and hierarchical structures which provide robots with a unified way to overcome various and irregular terrains. (2) Soft composite materials realize the compliancy in these structures. (3) Multi-scale integrative manufacturing techniques are convergence of traditional methods for producing various sized robots assembled by such materials. Finally, (4) the control and communication techniques for the massive swarm robot systems enable multiple functionally simple robots to accomplish the complex job by effective job distribution.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.25 no.5
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• pp.335-347
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• 2013

In February 2008, high storm waves due to a developed atmospheric low pressure system propagating from the west off Hokkaido, Japan, to the south and southwest throughout the East Sea (ES) caused extensive damages along the central coast of Japan and along the east coast of Korea. This study consists of two parts. In the first part, we estimate extreme storm wave characteristics in the Toyama Bay where heavy coastal damages occurred, using a non-hydrostatic meteorological model and a spectral wave model by considering the extreme conditions for two factors for wind wave growth, such as wind intensity and duration. The estimated extreme significant wave height and corresponding wave period were 6.78 m and 18.28 sec, respectively, at the Fushiki Toyama. In the second part, we perform numerical experiments on wave-structure interaction in the Fushiki Port, Toyama Bay, where the long North-Breakwater was heavily damaged by the storm waves in February 2008. The experiments are conducted using a non-linear shallow-water equation model with adaptive mesh refinement (AMR) and wet-dry scheme. The estimated extreme storm waves of 6.78 m and 18.28 sec are used for incident wave profile. The results show that the Fushiki Port would be overtopped and flooded by extreme storm waves if the North-Breakwater does not function properly after being damaged. Also the storm waves would overtop seawalls and sidewalls of the Manyou Pier behind the North-Breakwater. The results also depict that refined meshes by AMR method with wet-dry scheme applied capture the coastline and coastal structure well while keeping the computational load efficiently.