• Journal of Korea Multimedia Society
• /
• v.7 no.3
• /
• pp.293-307
• /
• 2004

The SMIL(Synchronized Multimedia Integration Language) documents are represented as logical structure information, spatial layout structure information, temporal synchronization structure information and hyperlink structure information, according as the structural characteristics of SMIL documents based on XML. This paper proposes the effective modeling and query method for the multi -structure information of inherent SMIL documents. In particular, we present the object-oriented modeling by using UML class diagram in order to represent the objects classes for the structured information of SMIL documents, and the hierarchical structure and the relationships for the objects classes. In addition, the objects classes definition is specified in compliance with SQL3 for database standard language. We also propose the access method and the query representation for hierarchical structure in order to retrieve efficiently the structural objects of SMIL documents.

• Journal of KIISE
• /
• v.42 no.2
• /
• pp.220-226
• /
• 2015

Semantic role labeling (SRL) systems determine the semantic role labels of the arguments of predicates in natural language text. An SRL system usually needs to perform four tasks in sequence: Predicate Identification (PI), Predicate Classification (PC), Argument Identification (AI), and Argument Classification (AC). In this paper, we use the Korean Propbank to develop our Korean semantic role labeling system. We describe our Korean semantic role labeling system that uses sequence labeling with structured Support Vector Machine (SVM). The results of our experiments on the Korean Propbank dataset reveal that our method obtains a 97.13% F1 score on Predicate Identification and Classification (PIC), and a 76.96% F1 score on Argument Identification and Classification (AIC).

• Proceedings of the Materials Research Society of Korea Conference
• /
• 2011.05a
• /
• pp.40.2-40.2
• /
• 2011

As the old saying 'nothing is complete unless you put it in final shape', although nanosheets (NSs) are a promising functional building block for various electrochemical applications, their true value cannot be realized until they are well woven into electrical conducting materials. As an effort to determine their ideal shape, in this study, a unique manufacturing route to build a layer-by-layer (LBL) structure of two-dimensionally ordered, free-standing ${\beta}$-nickel hydroxide nanosheets (${\beta}$-NHNSs) that are fully electrically addressed with single-wall carbon nanotube fabrics was demonstrated, and its capabilities were verified through a comparative study on the differences between a simple bulky and LBL-structured electrochemical cathode, representing two extreme cases. The LBL-structured cathode showed a discharging current peak that was 25 times larger than the bulky structured one measured in cyclic voltammetry, which implies that the LBL structure is near an ideal electrode configuration for NS-based electrochemical applications.

• IEIE Transactions on Smart Processing and Computing
• /
• v.3 no.4
• /
• pp.195-204
• /
• 2014

This paper presents the depth evaluation for object detection by automated assembling robots. Pattern distortion analysis from a structured light system identifies an object with the greatest depth from its background. An automated assembling robot should prior select and pick an object with the greatest depth to reduce the physical harm during the picking action of the robot arm. Object detection is then combined with a depth evaluation to provide contour, showing the edges of an object with the greatest depth. The contour provides shape information to an automated assembling robot, which equips the laser based proxy sensor, for picking up and placing an object in the intended place. The depth evaluation process using structured light for an automated electronics assembling robot is accelerated for an image frame to be used for computation using the simplest experimental set, which consists of a single camera and projector. The experiments for the depth evaluation process required 31 ms to 32 ms, which were optimized for the robot vision system that equips a 30-frames-per-second camera.

• International Journal of Advanced Culture Technology
• /
• v.8 no.3
• /
• pp.260-268
• /
• 2020

Currently, it is usually a 3D scanner processing method as a laser method. However, the laser method has a disadvantage of slow scanning speed and poor precision. Although optical scanners are used as a method to compensate for these shortcomings, optical scanners are closely related to the distance and precision of the object, and have the disadvantage of being expensive. In this paper, 3D scanner using variable focus lens-based structured light module with improved measurement precision was designed to be high performance, low price, and usable in industrial fields. To this end, designed a telecentric optical system based on a variable focus lens and connected to the telecentric mechanism of the step motor and lens to adjust the focus of the variable lens. Designed a connection structure with optimized scalability of hardware circuits that configures a stepper motor to form a system with a built-in processor. In addition, by applying an algorithm that can simultaneously acquire high-resolution texture image and depth information and apply image synthesis technology and GPU-based high-speed structured light processing technology, it is also stable for changes to external light. We will designed and implemented for further improving high measurement precision.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.21 no.4
• /
• pp.445-454
• /
• 2015

Purpose: The purpose of this study was to identify the effects of structured self-debriefing using 3S models on the clinical competency, self-efficacy, and educational satisfaction in nursing students after simulation. Methods: For this study, 76 third-year undergraduate nursing students from S university were invited. They were divided into two groups, which consisted of a self-debriefing (SDG=41) group and an instructor-led debriefing group (ILDG=35). Collected data was analyzed using Chi-square, t-test, and an independent t-test with the PASW statistics 18.0 for Windows Program. Results: Clinical competency was generally high in the SDG, and statistically significant differences between the SDG and the ILDG occurred after simulations 3, 4, and 5. There were no statistically significant differences in self-efficacy and educational satisfaction between the SDG and the ILDG. However, educational satisfaction in the SDG was slightly higher, while self-efficacy was low compared to the ILDG. Conclusion: The results indicate that the method of structured self-debriefing using a 3S model can be effective in improving clinical competency. Further studies need to be investigated.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.14 no.6
• /
• pp.329-338
• /
• 2019

Today's embedded software (SW) developments are mostly preceded by composing Software Requirement Specification (SRS). In particular, in the domain of weapon systems, it is essential to have a systematic method for the verification of the SW functionality. To be more specific, it is crucial to check if the SW functionality is implemented as described in SRS, so-called SW suitability verification. Unfortunately, existing static or dynamic SW testing methods are not sufficient to evaluate suitability with SRS since those testings only verify the robustness of the SW codes. In this paper, we propose an automatic embedded SW suitability verification framework which is based on a structured SRS. The major challenge in the automation of this verification framework is how to get rid of ambiguities in SRS. In order to overcome this challenge, we propose a structured SRS description framework and the supporting toolchain for that. We show how the proposed framework is applied to an actual SRS of a weapon system.

• Journal of Industrial Technology
• /
• v.29 no.B
• /
• pp.17-23
• /
• 2009

In many cases, clustering algorithms have been used for extracting and discovering useful information from non-linear data. They have made a great effect on performances of the systems dealing with non-linear data. Thus, this paper presents a new approach called hierarchically structured clustering algorithm, and it is applied to the prediction system for non-linear time series data. The proposed hierarchically structured clustering algorithm (called HCKA: Hierarchical Cross-correlation and K-means clustering Algorithms) in which the cross-correlation and k-means clustering algorithm are combined can accept the correlationship of non-linear time series as well as statistical characteristics. First, the optimal differences of data are generated, which can suitably reveal the characteristics of non-linear time series. Second, the generated differences are classified into the upper clusters for their predictors by the cross-correlation clustering algorithm, and then each classified differences are classified again into the lower fuzzy sets by the k-means clustering algorithm. As a result, the proposed method can give an efficient classification and improve the performance. Finally, we demonstrates the effectiveness of the proposed HCKA via typical time series examples.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.15 no.2
• /
• pp.175-182
• /
• 2009

Purpose: Objective Structured Clinical Examination (OSCE) is a good way to evaluate clinical skills of nursing students. To do this, we need modules, evaluators, persons to run the examination, as well as models and standardized patient care if necessary. The main purpose of this study was to compare the effects of the OSCE method on nursing skills performance of students enrolled in a core skill lab of nursing courses. Method: Eight items were developed for the examination. Five minutes was allowed for each item. Two married women and third-year students played patient's roles. The participants were 2nd-year nursing students and the OSCE program was performed on December, 2008. Data analysis was done using SPSS WIN 12.0. Result: The evaluation score for BP check skill was 1.68 and hand washing skill was 1.87 by evaluators. Response of examinees to OSCE was favorable. Examinees did not express resistance for evaluation by OSCE run by SPs and students. Conclusion: The OSCE method is an effective tool for evaluating clinical nursing skills performance in student nurses. It is necessary to explore more efficient ways to develop OSCE cases in wider areas of nursing education. It is also recommended to replicate similar studies in nursing education.

• Journal of the Korean Institute of Telematics and Electronics
• /
• v.27 no.10
• /
• pp.1-9
• /
• 1990

The performance of noncoherent FH/FSK system in the presence of multitone jamming and noise is analyged. Random and the structured jammings are considered as a multitone jamming model. The probability density function is derived and then optimum decision rule is applied to determine error probability of each cases. As a result, error probabilities of random and structured multitone jamming are shown as a function of number of jamming tones, jamming to signal power ratio, jamming signal phase and one jamming tone power to signal power ratio under Worst-case Jamming interference. It is found that error probability is maximam when one jamming tone power to signal power ratio is 1. Also we know that error performance of random and structured jamming is almost equal.