• KIPS Transactions on Software and Data Engineering
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• v.7 no.12
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• pp.461-468
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• 2018

Developers spend a significant amount of time exploring and trying to understand source code to find a source location to modify. To reduce such time, existing studies have recommended the source location using statistical language model techniques. However, in these techniques, the recommendation does not occur if input data does not exactly match with learned data. In this paper, we propose a code location recommendation method using Recurrent Neural Networks and interaction histories, which does not have the above problem of the existing techniques. Our method achieved an average precision of 91% and an average recall of 71%, thereby reducing time for searching and exploring code more than the existing recommendation techniques.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1994.10a
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• pp.658-663
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• 1994

The classification and coding of part for group technology applications continus to be labour intensive and time-consuming process, and therefore much effort is dedicated to the structure and creation of automatic coding systems. IN this paper, Neural networks is used to generate processes-related digit as well as part geometry-related digit of the TS code where part name is provided as input.since part name, which is appropriately designated, provides much information about part geometry and manufacturing processes. THe developed GT recommendation system is integrated with interactive TS coding system and database in order to handle the changes of production environment, such as the change of production part of plant. It is found to recommend codes accurately and promises to be a useful tool for consistent, reliable and convenient coding processes.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.187-195
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• 2014

In this paper, we evaluated the performance of recommendation and run time of the MissLess soft keyboard developed in the previous research. The MissLess keyboard assigns a hash code per each word for all words within its mobile dictionary. It decides recommendation words through three consecutive processes such as hash filtering, sorting based on spelling similarity, and finally recommendation based on frequency of use. Each process has some factors to have an impact on the recommendation success. We conducted experiments in an Android mobile device running the MissLess keyboard and measured performance of recommendation and run time overhead according to the impact factors. In this paper, we showed the experiment results.

• Proceedings of the IEEK Conference
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• 1998.06a
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• pp.118-121
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• 1998

Standardized representations and data codes are crucial for the exchange of information between systems, organizations, and people in the telecommunications operations area. ITU-T M.1400 recommends a unified representation for the international network routes which includes such location data elements as Town A, Suffix Code which was designed for the representation of domestic network locations to meet the ITU-T recommendation. This paper suggests an expanded building ID code for the representation of the international network locations.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.49-50
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• 2006

Digital satellite systems are usually integrated with terrestrial systems to provide various services, and in these cases they should satisfy the performance objectives defined by the terrestrial systems. Recommendation ITU-R S.1062 specifies the performance of digital satellite systems. The performance objectives were given in terms of bit error probability divided by the average number of errors per burst versus percentage of time. This paper presents theoretical method to estimate performance measure of digital satellite systems defined in Recommendation ITU-R S.1062. We show performance estimation results of duo-binary Turbo codes, and verify them by comparing to the simulation results.

• Proceedings of the Korea Concrete Institute Conference
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• 2002.05a
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• pp.463-468
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• 2002

Transverse prestressing of bridge decks is an attractive concept with substantial benefits in both economy and crack control in slabs. To evaluate the necessary information for the prestressed long span bridge slab design, a series of static and fatigue tests were peformed. It is shown that the minimum thickness recommendation in Korean Highway Bridge Design Code is too conservative.

• ETRI Journal
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• v.6 no.3
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• pp.9-16
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• 1984

This paper describes $\mu$-law PCM/ADPCM Code Conversion System. The system algorithm is computer-simulated, and with the result of simulation the system is designed by using the Am 2900 family's Bit-Slice Microprocessors which have a high-speed processing power. The ADPCM algorithm is based on Jayant's model and the converting algorithm between $\mu$-law PCM and linear PCM is developed according to the CCITT Recommendation G. 711.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.7C
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• pp.962-970
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• 2004

This paper presents an efficient implementation of the 2.4 kbps EHSX(Enhanced Harmonic Stochastic Excitation) speech coder on a TMS320C6701$^{TM}$ floating-point digital signal processor. The EHSX speech codec is based on a harmonic and CELP(Code Excited Linear Prediction) modeling of the excitation signal respectively according to the frame characteristic such as a voiced speech and an unvoiced speech. In this paper, we represent the optimization methods to reduce the complexity for real-time implementation. The complexity in the filtering of a CELP algorithm that is the main part for the EHSX algorithm complexity can be reduced by converting program using floating-point variable to program using fixed-point variable. We also present the efficient optimization methods including the code allocation considering a DSP architecture and the low complexity algorithm of harmonic/pitch search in encoder part. Finally, we obtained the subjective quality of MOS 3.28 from speech quality test using the PESQ(perceptual evaluation of speech quality), ITU-T Recommendation P.862 and could get a goal of realtime operation of the EHSX codec.c.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.73-79
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• 2022

The Python language widely used in artificial intelligence (AI) projects is an interpreter language, and errors occur at runtime. In order to prevent project failure due to errors, it is necessary to handle exceptions in code that can cause exceptional situations in advance. In particular, in AI projects that require a lot of resources, exceptions that occur after long execution lead to a large waste of resources. However, since exception handling depends on the developer's experience, developers have difficulty determining the appropriate exception to catch. To solve this need, we propose an approach that recommends exceptions to catch to developers during development by learning the existing exception handling statements. The proposed method receives the source code of the try block as input and recommends exceptions to be handled in the except block. We evaluate our approach for a large project consisting of two frameworks. According to our evaluation results, the average AUPRC is 0.92 or higher when performing exception recommendation. The study results show that the proposed method can support the developer's exception handling with exception recommendation performance that outperforms the comparative models.

• Proceedings of the Korean Environmental Health Society Conference
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• 2005.06a
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• pp.323-325
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• 2005

This study was performed to investigate the levels of cadmium (Cd), copper (Cu), lead (Pb), and zinc (Zn) in water and rice samples taken from five sites on a stream used for agricultural water in the Jeon-buk area, Korea. The water samples were collected by the recommendation methods of the World Health Organization, and rice samples were randomly selected from the paddy rice. The water and rice samples were analyzed by the recommendation methods of Food Code of Korea and using ICP. Although there was variation between sampling sites, the levels of the metals of rice were on average much higher than those of water. The ratios of metal levels of rice to water were: Cd 8.0${\sim}$35.4; Cu 2.2${\sim}$7.2; Pb 5.9${\sim}$18.3; and Zn 10.6${\sim}$75,7. These results indicate that there was transfer of the metals from the water to the rice, This study also suggests that there might be another pathways for the transfer of the metals to the rice.