• Journal of Korean Public Health Nursing
• /
• v.32 no.1
• /
• pp.81-95
• /
• 2018

Purpose: This study was conducted to identify the effects of a group cognitive improvement program on cognitive function, depression and self-esteem in elderly individuals with mild cognitive impairment. Methods: This was an experimental study that employed a pre-post design of a non-equivalence control group. The subjects were 52 elderly people with mild cognitive impairment, 25 of whom were assigned to the experimental group and 27 to the control group. The program was conducted for a total of 12 sessions for 60 minutes each. Data were analyzed using the ${\chi}2-test$, Fisher's exact test, and Independent t-test with the SPSS 20.0 program. Results: After the intervention, the group who participated showed improvement in all areas of cognitive function based on MMSE-KC (F=26.37, p.<0.001), the Rey Complex Figure Test: copy (F=20.66, p.<0.001), Immediate memory of Seoul Verbal Learning Test-Elderly's version (F=29.68, p.<0.001), delayed memory (F=45.79 p.<0.001), memory recall (F=28.97, p.<0.001), Forward of Digit Span Test (F=9.25, p=.004), backward (F=8.33, p.=0.006), language comprehension (F=13.42, p.<0.001), and digit symbol coding (F=17.74, p.<0.001) relative to the control group. Moreover depression (F=24.09, p.<0.001) was decreased in program participants, whereas self-esteem (F=40.24, p.<0.001) was increased. Conclusion: The program could be a useful intervention because the results show that the group cognitive improvement program has a significant effect on cognitive function, depression and self-esteem in elderly with mild cognitive impairment.

• Journal of The Korean Association For Science Education
• /
• v.20 no.3
• /
• pp.353-363
• /
• 2000

In this study, discourse patterns of four peer small groups in learning science concepts were examined. Verbal interactions during small group discussions were audio- and video-taped, transcribed, and analyzed. Three coding frameworks for the levels of turns, interaction units, and episodes were developed. In the analyses of turns, no clear relationships between students' prior achievements and contributions to knowledge building processes were found. Partly participating modes and symmetrical interaction modes were dominant in the analyses of interaction units to suggest that some students did not participate actively in small group discussions and that students' verbal interactions were superficial. The analyses of episodes also indicated that agreeing and/or partial elaborating on group members' ideas were the most frequent patterns and dialectical exchanges were rare in small group discussion.

• Journal of KIISE:Software and Applications
• /
• v.35 no.12
• /
• pp.741-752
• /
• 2008

Aspect-Oriented Software Development(AOSD) is the software development methodology that classifies concerns of the system and identifies crosscutting concerns and organizes aspect class, and AOSD has emerged as an important user-oriented software development methodology with high maintainability. However, most of related studies worked on identification and specification and coding of crosscutting concerns. And there have been few studies on slicing technique for tracing method of specified crosscutting concerns. Therefore, this paper proposes slicing technique based on AOSD that identifies and specifies crosscutting concerns through interactive analysis between use cases; also, suggests slicing technique which improves traceability centering on identified crosscutting concerns; applies the aspect-oriented slicing technique to Learning Management System(LMS) for case-study. LMS is a cyber educational system that demands a lot of functional changes and expansion, so it is effective to apply AOSD with high maintainability in developing LMS; and shows the results that compared with related studies by comparing six elements.

• Journal of Digital Contents Society
• /
• v.18 no.7
• /
• pp.1313-1321
• /
• 2017

In the future society where ICT-based digital convergence creates new value, collaborative skills among experts in various fields and SW based problem solving ability is more emphasized. Non-SW specialists are required to have SW based communication skills to effectively collaborate with SW experts to solve their problems. Therefore, SW programming curriculum for non-major college students should be different from the existing programming education for SW-majors aiming at a high level of coding ability. It is also known that diagram-based visual representation is helpful for productive communication and collaboration. In this study, we defined the SW education objectives for the non-majors as cultivating the visual programming ability for SW based problem solving. In order to accomplish this, we explored SW programming curriculum and content development model for non-majors focusing on visual representation of SW solutions. The results of this paper will help to provide appropriate SW learning model for non-majors and to cultivate practical SW capabilities.

• Journal of IKEEE
• /
• v.2 no.1 s.2
• /
• pp.150-159
• /
• 1998

This paper described the recognition of the Off-line handwritten Hangul based on neural network using a feature extraction method. Features of Hangul can be extracted by a $5{\times}5$ window method which is the modified $3{\times}3$ mask method. These features are coded to binary patterns in order to use neural network's inputs efficiently. Hangul character is recognized by the consonant, the vertical vowel, and the horizontal vowel, separately. In order to verify the recognition rate, three different coding methods were used for neural networks. Three methods were the fixed-code method, the learned-code I method, and the learned-code II method. The result was shown that the learned-code II method was the best among three methods. The result of the learned-code II method was shown 100% recognition rate for the vertical vowel, 100% for the horizontal vowel, and 98.33% for the learned consonants and 93.75% for the new consonants.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.20 no.2
• /
• pp.247-259
• /
• 2020

Today is the era that the importance of education and training is emphasized. However, the problem of the issues on the question how the coding or related educations according to the 4th industrial revolution era are applied or utilized actually or that the correlation with the actual enterprises is facing with social and realistic problem. Therefore, this study intended to identify what impact the characteristics of the education and training has on the educational outcomes on the characteristics of individual by segmentalizing the characteristics of education and training, through which, this study examined what impact it has on the educational outcomes. As a result, it was shown that the SW education course has positive (+) impact on the major competence and learning performance out of the characteristics of individual and SW educational environment does not have nay impact. In addition, it was shown that the characteristics of individual have positive impact on all the satisfaction of educational outcomes and the negative impact on all the dissatisfaction of educational outcomes. These results emphasizes the importance of the SW educational course and SW education teaching and deemed to be results to make us to think about the SW educational environment again.

• Journal of Broadcast Engineering
• /
• v.21 no.2
• /
• pp.180-191
• /
• 2016

When up-scaling algorithms for visible light images are applied to infrared (IR) images, they rarely work because IR images are usually blurred. In order to solve such a problem, this paper proposes an up-scaling algorithm for IR images. We employ adaptive dynamic range encoding (ADRC) as a simple classifier based on the observation that IR images have weak details. Also, since human visual systems are more sensitive to edges, our algorithm focuses on edges. Then, we add pre-processing in learning phase. As a result, we can improve visibility of IR images without increasing computational cost. Comparing with Anchored neighborhood regression (A+), the proposed algorithm provides better results. In terms of just noticeable blur, the proposed algorithm shows higher values by 0.0201 than the A+, respectively.

• The Journal of the Korea Contents Association
• /
• v.13 no.7
• /
• pp.339-349
• /
• 2013

This is a methodological triangulation study to investigate of adjustment to college life in associate nursing college students. Participants were 139 associate nursing students. Data were collected from September 15 to November 17, 2012. Quantitative data were analyzed using PASW 20.0. Qualitative data were analyzed using open coding and categorization. Mean value for adjustment to college life was 2.96. It was significantly different according to nursing major (F=6.23, p=.003), study loading (F=4.47, p=.013), and perceived learning achievement (F=6.87, p=.001). 'Burden on study loading', 'Burden on job finding', 'Securing diverse support', 'Diverse extra-curricular', and 'Qualified practicum education' were extracted from the qualitative data. Results suggest diverse program development to decrease study loading, increase chances to connect with supporters, provide various extra-curricular activities and guarantee qualified practicum education are important in associate nursing college students' adaptation to college life.

• ETRI Journal
• /
• v.38 no.6
• /
• pp.1064-1073
• /
• 2016

An adaptive speech streaming method to improve the perceived speech quality of a software-based multipoint control unit (SW-based MCU) over IP networks is proposed. First, the proposed method predicts whether the speech packet to be transmitted is lost. To this end, the proposed method learns the pattern of packet losses in the IP network, and then predicts the loss of the packet to be transmitted over that IP network. The proposed method classifies the speech signal into different classes of silence, unvoiced, speech onset, or voiced frame. Based on the results of packet loss prediction and speech classification, the proposed method determines the proper amount and bitrate of redundant speech data (RSD) that are sent with primary speech data (PSD) in order to assist the speech decoder to restore the speech signals of lost packets. Specifically, when a packet is predicted to be lost, the amount and bitrate of the RSD must be increased through a reduction in the bitrate of the PSD. The effectiveness of the proposed method for learning the packet loss pattern and assigning a different speech coding rate is then demonstrated using a support vector machine and adaptive multirate-narrowband, respectively. The results show that as compared with conventional methods that restore lost speech signals, the proposed method remarkably improves the perceived speech quality of an SW-based MCU under various packet loss conditions in an IP network.

• Journal of The Korean Association of Information Education
• /
• v.19 no.4
• /
• pp.533-544
• /
• 2015

In this study, the direction for hierarchical curriculum organization about software education in Korea was suggested in terms of overall execution of software education. The international case studies especially was conducted in order to suggest the propel educational programming language for level of students in the programming activity. In terms of the international case studies, the type of programming language was examined, which is suggested to each school level as a part of required regular curriculum. Then, the direction was supposed to suggest the instructional system organization of software education for Korea through the result of case studies. The results of case studies indicated that elementary school use the block based programming language, and text based programming languages are used from middle school.