• Proceedings of the IEEK Conference
• /
• 2002.06d
• /
• pp.167-170
• /
• 2002

In this paper, we implement a 2.4 kbps STC speech codec using the TMS320C6201 DSP The main job for this work is twofold: one is to convert floating-point operation in the codec into fixed-point operation while maintaining the high resolution, and the other is to optimize the program to make it run in real time with memory size as small as possible. The implemented decoder uses 54.8 kbyte of program memory, 29.7 kbyte of data ROM and 55.2 kbyte of data RAM, respectively. It also uses about 45% of maximum computation capacity of TMS320C6201.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.29 no.2C
• /
• pp.291-297
• /
• 2004

In this paper, a new structure for the AEC(Acoustic Echo Canceller) is proposed in which echo signal components that can be created in mobile communications is effectively eliminated. Block Data Flow Architecture is a parallel architecture that achieves high performance, high efficiency, high throughput, and almost linear speed up. The proposed architecture employs AEC and is implemented using the TMS320C6711 for real-time applications. The proposed AEC shows improved performance by eliminating echoes at 55ms delay path. Since the proposed AEC can also be implemented in Firmware, it is believed to effectively work on various types of echoes if it is applied on CDMA mobile devices. The TMS320C6711 shows much better performance comparing to previous DSPs. For experimental verifications, filtering operation using adaptive algorithm is performed on TMS320C6711 board and error signals resulted from computations are monitored on PC, and then the performance of the implemented AEC is verified through ERLE computation. According the results of simulation, good characteristic of 100dB are shown after 500 sampling data.

• The Journal of Information Systems
• /
• v.25 no.3
• /
• pp.175-196
• /
• 2016

Purpose The development of new products in automobile parts industry plays an important role. Nowadays, automobile industry is one of the most important industries in the world, because automobile industry includes the industries of steel, machinery, electronic, etc. As a result, automobile industry embodies a country's level of development and competitiveness. The purpose of this study is to analyze the relationship between team characteristics such as communication, familiarity, and contiguity, and team performance through TMS in the process of new products development in automobile parts industry. Design/Methodology/Approach Based on real phenomenon of Korean automobile parts industry, this study tried to figure out the influence of TMS between team members for new product development on team performance. Thus, this study adopts communication, familiarity and contiguity as antecedents, and TMS with specialty, credibility and coordination as a mediating variable, and adopts team performance as a dependent variable. The data of questionnaire were collected from team managers who belong to new product development team in automobile parts firms. 171 questionnaires as data unit of group level from 80 Korean automobile parts firms were collected using face-to-face interview methods. Findings This study proved empirically that the relationship between antecedents and TMS has a positive influence, and TMS also has a positive influence on team performance. This study provides the managers an insight that automobile parts companies should pay more attention to set up TMS in order to improve higher performance between their team members for new product development of automobile parts.

• MALSORI
• /
• no.65
• /
• pp.143-152
• /
• 2008

This paper focuses on the real time implementation of an adaptive multi-rate (AMR) speech codec, that is a standard speech codec of IMT-2000, using the TMS320VC5510. The series of TMS320VC55x is a 16-bit fixed-point digital signal processor (DSP) having low power consumption for the use of mobile communications by Texas Instruments (TI) corporation. After we analyze the AMR algorithm and source code as well as the structure and I/O of 7MS320VC55x, we carry out optimizing the programs for real time implementation. The implemented AMR speech codec uses 55.2 kbyte for the program memory and 98.3 kbyte for the data memory, and it requires 709,878 clocks, i.e. about 3.5 ms, for processing a frame of 20 ms speech signal.

• Journal of The Korean Association For Science Education
• /
• v.37 no.6
• /
• pp.993-1003
• /
• 2017

Teachers expect team-based project learning to help students develop collaborative and real-world problem solving skills. In practice, however, students tend to solve problems with simple division of labor, and there is a tendency that learning transfer does not occur in solving problems. The purpose of this study is to develop a collaborative learning model based on the transactive memory system (TMS) and to verify its effectiveness. The collaborative learning model based on the TMS is composed of three stages. The first stage is developing TMS. In this stage, the students learn physics concepts and make knowledge about the expertise of group members through peer instruction. The second stage, activating TMS, is building trust through solving well-defined problems for developing near-transfer. And in the third stage, applying TMS, the students solve an ill-defined problem based on real-world context for practicing far-transfer. Based on this model, a 15-week program including two projects on geometric optics and sound waves was developed and applied to 60 college students. The data for five weeks of one project were collected and analyzed. As a result, the TMS of the experimental group with the TMS-based collaborative learning model improved stepwise. Whereas, the difference between the first week and the last week was statistically significant, while the TMS change of the comparison group using the general project learning model was not significant. Also, the experimental group showed that the learning transfer occurred better in the project than the comparison group. A collaborative learning model based on TMS can be used to learn how students gain synergy through collaboration and how students collaboratively transfer the learned concepts in problem solving.

• Annals of Clinical Neurophysiology
• /
• v.16 no.2
• /
• pp.62-69
• /
• 2014

Background: Neuromodulation therapy has been used to an adjunctive treatment promoting motor recovery in stroke patients. The objective of the study was to determine the effect of repetitive transcranial magnetic stimulation (rTMS) on neurobehavioral recovery and evoked potentials in rats with middle cerebral artery occlusion. Methods: Seventy Sprague-Daley rats were induced permanent middle cerebral artery occlusion (MCAO) stroke model and successful stroke rats (n=56) assigned to the rTMS (n=28) and sham (n=28) group. The 10 Hz, high frequency rTMS gave on ipsilesional forepaw motor cortex during 2 weeks in rTMS group. The somatosensory evoked potential (SSEP) and motor evoked potential (MEP) were used to evaluate the electrophysiological changes. Behavioral function of the stroke rat was evaluated by the Rota rod and Garcia test. Results: Forty rats ($N_{rTMS}=20;\;N_{sham}=20$) completed all experimental course. The rTMS group showed better performance than sham group in Rota rod test and Garcia test at day 11 (p<0.05) but not day 18 (p>0.05). The amplitude of MEP and SSEP in rTMS group was larger than sham group at day 18 (p<0.05). Conclusions: These data confirm that the high frequency rTMS on ipsilesional cerebral motor cortex can help the early recovery of motor performance in permanent middle cerebral artery stroke model and it may simultaneously associate with changes in neurophysiological activity in brain.

• Proceedings of the Korea Air Pollution Research Association Conference
• /
• 2006.04a
• /
• pp.404-406
• /
• 2006

• The Journal of the Acoustical Society of Korea
• /
• v.14 no.1E
• /
• pp.83-87
• /
• 1995

The implementation of the voice dodec is imjplemented by using TMS320C30, which is the floating point DSP chip from Texas Instrument. QCELP (Qualcomm Code Excited Linear Prediction) is used to encode and decode the voice. The QCELP code is implemented by the TMS320C30 C-dode. The DSP board is controlled by the PC. The PC program tranfors the voice file from and to the DSP board, which is also implemented by C-code. The voice is encoded by the DSP board and the encoded data is transferred to PC to be stored as a file. To hear the voice. the voice data file is sent to DSP board and decoded to synthesize audible voice. Two flags are used by both programs to notify the status of the operation. By checking the flags, DSP and PC decides when the voice data is transferred between them.

• The Journal of Society for e-Business Studies
• /
• v.15 no.2
• /
• pp.137-166
• /
• 2010

A virtual team is defined a group of people that use electronic communications for some or all of their interactions with other team members. Because team members of a virtual team are physically and temporally distributed, a team's transactive memory system(TMS) is considered to be crucial for the team's effectiveness and performance. TMS refers to a set of individual memory systems which integrate knowledge possessed by particular members through a shared awareness of who knows what. This paper seeks to understand (1) how a virtual team's TMS influences team performance, and (2) what factors contribute to developing the team's TMS. Given these purposes, through the extensive literature review, we first identified components and antecedents to develop a theoretical model that predicts a virtual team's performance. Using the survey data gathered from 172 virtual teams, this study found that expertise location, coordination, and cognition-based trust which were proposed as three components of TMS positively influenced a virtual team's performance. Furthermore, this study uncovered that perceived media richness, network tie strength, and shared norms significantly influenced the components of TMS, while geographical dispersion did not exert any significant influence on TMS.

• Journal of Wetlands Research
• /
• v.17 no.1
• /
• pp.75-79
• /
• 2015

DIWS system was introduced to treat HCl gas from the scrubber of iron and steel industry according as the regulation of air quality is expected to be changed to 2ppm. pH of condensed water at stack was increased to 6.0. While 13.3ppm of inflow HCl was introduced to DIWS system, the average exhaust gas was 0.43ppm with 96.9% of removal efficiency. Compared with HCl data of TMS, the stable removal efficiency was shown in DIWS system, but the phenomenon of data hunting was also observed with different types of TMS apparatus.