• Journal of The Korean Association For Science Education
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• v.31 no.6
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• pp.958-969
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• 2011

The purpose of this study is to investigate relationships among scientific self-efficacy, achievement in science and cognitive self-regulation learning strategy. The subjects were composed of 158 elementary school students. Data of students' self-efficacy related to science and cognitive self-regulation learning strategy measured by questionnaire were analyzed. Science achievement scores were also collected. The results indicated that self-efficacy and cognitive self-regulation learning strategy predicted science scores. The findings showed that cognitive selfregulation learning strategy mediated the relation between self-efficacy and achievement in science. Memory learning strategy, considered a cognitive self-regulation learning strategy, did not mediate the relation between self-efficacy and science scores. The implications of science education to develop students' science achievement in the classroom and the suggestions for future researchers are discussed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.2885-2890
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• 2014

Localization of a sensor network node using machine learning has been recently studied. It is easy for Support vector machines algorithm to implement in high level language enabling parallelism. Raspberrypi is a linux system which can be used as a sensor node. Pi can be used to construct IP based Hadoop clusters. In this paper, we realized Support vector machine using python language and built a sensor network cluster with 5 Pi's. We also established a Hadoop software framework to employ MapReduce mechanism. In our experiment, we implemented the test sensor network with a variety of parameters and examined based on proficiency, resource evaluation, and processing time. The experimentation showed that with more execution power and memory volume, Pi could be appropriate for a member node of the cluster, accomplishing precise classification for sensor localization using machine learning.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.9
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• pp.880-886
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• 2014

Many railway signalling functions have increasingly depended on computer software with recent development in computing technology, leading to evolution into more flexible and intelligent railway signalling system. Meanwhile, software programs are likely to have many errors and the cost incurred by such errors has increased. Especially, if fatal software error occurs during railway operation, it may result in loss of lives. So the software verification and validation have become more important. It is needed for software functional safety tool to support these, but most commercial tools depend on direct access to the system's memory, resulting in many difficulties in application. Owing to such difficulties and complexity, they are rarely used in railway signalling system software validation. In this study, a new testing tool for software functional testing through an external interface that can be easily used in functional testing of software was developed. Such testing tool allows development and analysis of test cases for black-box testing through analysis of actually used interface protocols, leading to increased user convenience.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.1
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• pp.74-81
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• 2003

In this study, we'd implemented a real time embedded speech recognition system that requires minimum memory size for speech recognition engine and DB. The word to be recognized consist of 40 commands used in a PCS phone and 10 digits. The speech data spoken by 15 male and 15 female speakers was recorded and analyzed by short time analysis method, which window size is 256. The LPC parameters of each frame were computed through Levinson-Burbin algorithm and they were transformed to Cepstrum parameters. Before the analysis, speech data should be processed by pre-emphasis that will remove the DC component in speech and emphasize high frequency band. Baum-Welch reestimation algorithm was used for the training of HMM. In test phone, we could get a recognition rate using likelihood method. We implemented an embedded system by porting the speech recognition engine on ARM core evaluation board. The overall recognition rate of this system was 95%, while the rate on 40 commands was 96% and that 10 digits was 94%.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.5
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• pp.151-161
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• 2009

Audio Video Standard (AVS) is the audio and video compression standard that was developed for domestic video applications in China. AVS employs low complexity tools to minimize degradation of RD performance of the state-the-art video codec, H.264/AVC. The AVS video codec consists of $8{\times}8$ block prediction and the same size transform to improve compression efficiency for VGA and higher resolution sequences. Currently, the AVS has been adopted more and more for IPTV services and mobile applications in China. So, many consumer electronics companies and multimedia-related laboratories have been developing applications and chips for the AVS. In this paper, we implemented the AVS video decoder and optimize it on TI's Davinci EVM DSP board. For improving the decoding speed and clocks, we removed unnecessary memory operations and we also used high-speed VLD algorithm, linear assembly, intrinsic functions and so forth. Test results show that decoding speed of the optimized decoder is $5{\sim}7$ times faster than that of the reference software (RM 5.2J).

• Korean Journal of Clinical Pharmacy
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• v.20 no.1
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• pp.1-8
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• 2010

We conducted a single blind, randomized and crossover clinical trial in order to test the effect of curcuma longa herbal mixture on blood alcohol level and alcohol hangover in 19 healthy volunteers. The herbal mixture did not show a statistical significance in $C_{max}$, $T_{max}$ and AUC in alcohol disposition. The herbal mixture did not also ameliorate blood laboratory result after alcohol consumption. In contrast, the herbal mixture is shown effective on alcohol hangover. In behavior tests, the fewer subjects in the herbal mixture group were impaired with alcohol than in reference group. Moreover, the symptom severity score in the herbal mixture was lower than that in reference group. The symptom severity score was statistically especially in stomach pain, diarrhea, concentration disorder, memory and bad breath at drinking day and one day after drinking. These results indicate that the general symptoms seemed to be recovered as time goes on. From these results, it was suggested that the herbal mixture have a beneficial effect on modulating alcohol hangover.

• The KIPS Transactions:PartD
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• v.17D no.1
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• pp.9-16
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• 2010

Web service mashup bacomes one of the important web application development methods. This paper considers a client based mashup, where a page interfaces many service methods asynchronously. Browser systems execute callbacks when the corresponding reply arrives, possibly concurrent to user interface actions. In this case, callbacks and user interface actions share data memory and screen. Moreover, when the user is able to send another request before the previous ones have replied, the shared resource problem becomes more complicated. In order to solve the multiple requests problem, our contributions are as follows. First, we modeled a mashup page with user actions and callbacks, and we presented several types of callbacks. Secondly, concurrency condition is defined between callbacks and user actions in terms of shared resources, and the test method is presented. Also, we proposed the serialization approach to guarantee the safe execution of callbacks. Finally, we applied the proposed concurrency condition on XForms language and extended the XForms browser to implement the proposed approach. The prototype implementation showed that the proposed approach helps enhancing user experience on mashup pages.

• The KIPS Transactions:PartD
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• v.9D no.4
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• pp.677-686
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• 2002

Recently, the Open-Development-Tool-Environment becomes a basic requirement of RTOS (Real Time Operating System) for embedded systems with restricted memory and CPU power in order to develop applications effectively. A remote interactive shell is one of the basic software components which makes users develop, test and control softwares without burdening target systems. In this paper, we have implemented the remote interactive shell with the following functions : loading object modules, spawning and manipulating tasks facilities thru a remote host. Comparing information reference methods with nonredundant overhead, we have achieved the system with easy maintenance. The shell has been developed with Q-PLUS RTOS under ARM EBSA285 target board and NT host.

• The Transactions of the Korea Information Processing Society
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• v.7 no.2
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• pp.488-496
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• 2000

this paper describes the design and implementation of node scheduling for MX Server that is CC-NUMA System COMSIX, the operating system of MX Server, is designed to suit for CC-NUMA Architecture. MX Server consists of up to 8 nodes, and each node is connected by SCI ring. This node scheduling scheme considers data locality for performance improvement of Oracle8i DBMS on the CC-NUMA architecture. For DBMS such as Oracle8i, a multi-threaded process may be run to tie on particular disk. We have developed a CG binding function that the multi-threaded process bound the node. Currently, We don't have an available CC-NUMA Platform. Instead of MX Server, we developed the Node scheduling scheme for multi-threaded process to suit server platform on the PC test-bed and tested completely.

• KIISE Transactions on Computing Practices
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• v.22 no.5
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• pp.201-208
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• 2016

Collection and storing of multiple time series data in real time requires large memory space. To solve this problem, the usage of varying sample size is proposed in the compression scheme using discrete cosine transform technique. Time series data set has characteristics such that a higher compression ratio can be achieved with smaller amount of value changes and lower frequency of the value changes. The coefficient of variation and the variability of the differences between adjacent data elements (VDAD) are presumed to be very good measures to represent the characteristics of the time series data and used as key parameters to determine the varying sample size. Test results showed that both VDAD-based and the coefficient of variation-based scheme generate excellent compression ratios. However, the former scheme uses much simpler sample size decision mechanism and results in better compression performance than the latter scheme.