• Physical Therapy Rehabilitation Science
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• v.13 no.1
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• pp.106-112
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• 2024

Objective: This study aimed to evaluate the validity of a depth camera-based system for monitoring physical function, assessing its feasibility for accurately monitoring activities of daily living. Design: A cross-sectional study. Methods: Twenty-three participants were enlisted to perform fifteen activities of daily living within a living laboratory designed to simulate a home environment. Activities were monitored using a depth camera system capable of classifying actions into standing, sitting, and lying down, with a conventional video camera employed for activity recording. The duration of each activity, as measured by the system, was compared to direct observations made by a physical therapist which were analyzed using a motion analysis software. The association between these two measurement approaches was assessed through correlation analysis, coefficient of determination, intraclass correlation coefficient (ICC), and Bland-Altman plots. Results: Our findings indicated that standing activities exhibited the highest correlation (r=0.847) between the system measurements and physical therapist observations, followed by sitting (r=0.817) and lying down (r=0.734), which demonstrated lower correlations. However, the ICC and Bland-Altman plots revealed notable variances between the two measurement methods, particularly for activities involving lying down. Conclusions: In this study, the depth camera-based physical monitoring system showed promise feasibility in distinguishing standing, sitting, and lying down activities at home environments. However, the current study also underlined some necessities of enhancements in capturing lying down activities.

• Korean Journal of Human Ecology
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• v.14 no.3
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• pp.401-409
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• 2005

The purpose of this study is to investigate mothers' beliefs regarding children's literacy development and self-reported home literacy practices with their children. The instrument used for this study measured mothers' beliefs toward the whole language approach against the traditional approaches in children's literacy development. The total number of 340 mothers participated in this study who are sending their children to daycare centers of kindergartens in Seoul and its suburban area. Mean, Standard Deviation, frequency, Spearman's rho, and Kendall's tau were employed to analyze the data. The results showed that mothers' beliefs on the whole language approach have relationships with their home literacy practices, and their demographic characteristics - such as mothers' education, their spouses' education, and income - were also related with mothers' beliefs. The results of this study explore the inter-relationship of mothers' beliefs with home literacy practices, and also the importance of mothers' belief system on children's literacy learning at home.

• Interdisciplinary Bio Central
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• v.4 no.4
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• pp.14.1-14.6
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• 2012

Splice site prediction in DNA sequence is a basic search problem for finding exon/intron and intron/exon boundaries. Removing introns and then joining the exons together forms the mRNA sequence. These sequences are the input of the translation process. It is a necessary step in the central dogma of molecular biology. The main task of splice site prediction is to find out the exact GT and AG ended sequences. Then it identifies the true and false GT and AG ended sequences among those candidate sequences. In this paper, we survey research works on splice site prediction based on support vector machine (SVM). The basic difference between these research works is nucleotide encoding technique and SVM kernel selection. Some methods encode the DNA sequence in a sparse way whereas others encode in a probabilistic manner. The encoded sequences serve as input of SVM. The task of SVM is to classify them using its learning model. The accuracy of classification largely depends on the proper kernel selection for sequence data as well as a selection of kernel parameter. We observe each encoding technique and classify them according to their similarity. Then we discuss about kernel and their parameter selection. Our survey paper provides a basic understanding of encoding approaches and proper kernel selection of SVM for splice site prediction.

• Journal of the Korean Society for Precision Engineering
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• v.29 no.10
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• pp.1128-1136
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• 2012

In this paper, the states and parameters in a dynamic system are estimated by applying an Unscented Kalman Filter (UKF). The UKF is widely used in various fields such as sensor fusion, trajectory estimation, and learning of Neural Network weights. These estimations are necessary and important in determining the stability of a mobile system, monitoring, and predictions. However, conventional approaches are difficult to estimate based on the experimental data, due to properties of non-linearity and measurement noises. Therefore, in this paper, UKF is applied in estimating the states and parameters needed. An experimental dynamic system has been set up for obtaining data and the experimental data is collected for parameter estimation. The measurement noises are primarily reduced by applying the Low Pass Filter (LPF). Given the simulation results, the estimated error rate is 39 percent more efficient than the results obtained using the Least Square Method (LSM). Secondly, the estimated parameters have an average convergence period of four seconds.

• The Journal of the Korea Contents Association
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• v.8 no.6
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• pp.111-120
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• 2008

This paper purposes to suggest subjects integration method for effective cut-out animation production education activity. So we suggest concrete method to integrate subjects focusing on animation production. We gave cut-out animation production lessons to a group of students. As a result, their degrees of study accomplishment were higher than those of students under a general teaching style. And we conducted a questionnaire survey of participants, they gave an affirmative answer in understanding, satisfaction, participation, interest. With this, we confirmed that the animation production class activity with integrated subjects raised the creative learning ability.

• IEMEK Journal of Embedded Systems and Applications
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• v.4 no.2
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• pp.55-62
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• 2009

The power consumption of a high-end microprocessor increases very rapidly. High power consumption will lead to a rapid increase in the chip temperature as well. If the temperature reaches beyond a certain level, chip operation becomes either slow or unreliable. Therefore various approaches for Dynamic Thermal Management (DTM) have been proposed. In this paper, we propose a learning based temperature prediction scheme for a multi-core system. In this approach, from repeatedly executing an application, we learn the thermal patterns of the chip, and we control the temperature in advance through DTM. When the predicted temperature may go beyond a threshold value, we reduce the temperature by decreasing the operation frequencies of the corresponding core. We implement our temperature prediction on an Intel's Quad-Core system which has integrated digital thermal sensors. A Dynamic Frequency System (DFS) technique is implemented to have four frequency steps on a Linux kernel. We carried out experiments using Phoronix Test Suite benchmarks for Linux. The peak temperature has been reduced by on average $5^{\circ}C{\sim}7^{\circ}C$. The overall average temperature reduced from $72^{\circ}C$ to $65^{\circ}C$.

• Journal of Engineering Education Research
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• v.3 no.2
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• pp.71-83
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• 2000

Portfolio are emerging as a prominent type of alternative assessment. Portfolio assessment is becoming increasingly clear that this method of collecting and evaluating student work over time has significant advantages over more conventional approaches to assessment. So the purposes of the study were to review the concepts and steps for planning and implementing portfolio assessment in engineering education. In education, portfolio can be defined as a purposeful, systematic, reflective process of collecting and evaluating student products to document progress toward the attaintment of learning targets. Four steps for planning and implementing portfolio assessment in engineering education were suggested as follows: 1) determine purpose 2) determine sources of content, 3) teacher evaluation of contents and student self-evaluation, 4) using of portfolio.

• Korean Journal of Head & Neck Oncology
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• v.35 no.2
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• pp.1-10
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• 2019

The 2019 American Society of Clinical Oncology (ASCO) Annual Meeting, which took place May 31-June 4 in Chicago, drew more than 32,000 oncology specialists from around the world. The theme of 2019 ASCO conference was "Caring for Every Patient, Learning from Every Patient". Among the topics of interest covered were new approaches to surmount limited access to cancer care and the latest advances in targeted therapies for pancreatic, prostate cancers and soft tissue sarcomas. In the field of head and neck cancer, 8 oral abstracts and 75 poster abstracts were presented at this meeting. In this review, we are going to summarize the eight studies that have been presented orally. The topics are recurrent and/or metastatic head and neck squamous cell carcinoma for two abstracts (#6000, #6002), salivary duct carcinoma for one abstract (#6001), locally advanced nasopharyngeal carcinoma for two abstracts (#6003, #6004), oropharyngeal carcinoma for two abstracts (#6006, #6008), and oral cavity cancer for one abstract (#6007).

• Journal of Computational Design and Engineering
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• v.3 no.2
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• pp.91-101
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• 2016

The automated part quality inspection poses many challenges to the engineers, especially when the part features to be inspected become complicated. A large quantity of part inspection at a faster rate should be relied upon computerized, automated inspection methods, which requires advanced quality control approaches. In this context, this work uses innovative methods in remote part tracking and quality control with the aid of the modern equipment and application of support vector machine (SVM) learning approach to predict the outcome of the quality control process. The classifier equations are built on the data obtained from the experiments and analyzed with different kernel functions. From the analysis, detailed outcome is presented for six different cases. The results indicate the robustness of support vector classification for the experimental data with two output classes.

• Journal of Korea Game Society
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• v.15 no.3
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• pp.87-96
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• 2015

Fun and happiness are the intrinsic values of the human beings. Game is one of the most efficient tools which satisfies those intrinsic values. Approaches and methods combining game and education to provide the enjoyable education environments have been increasing. As use of gamification in corporate and school education environments for human resources is increasing, significant voices of concern on the limitations and side effects of combining game and education are continuously increasing. The purpose of this paper is to energize the use of gamification in education environments by clarifying the limitations and side effects of gamification and seeking ways to overcome those factors. This paper summarizes an observational research on the limitations and side effects of gamification in education environments, and provides the interviewees' opinions on gamified classes.