• The Journal of Korean Institute of Communications and Information Sciences
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• v.11 no.2
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• pp.137-145
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• 1986

The contention resolution algorithm with the limited packet delay time as well stable distribution as the packet delay time is proposed and implementes for improving the mean packet delay time in the network employing CSMA/CD as the access method. The implementation of node controller is based on IEEE 802.2 standard logical link control(LLC) and IEEE 802.3 standard medium access control(MAC). Some portion of IEEE 802.3 Standard MAC, and the Binary Exponential Back-off(BEB) algorithm is replaced by the proposed algorithm. From the view of normalized mean packet transmission delay time, the controller implemented here can be applicable to the office-automation system, and the factory-and laboratory-automation environment where the limited time criterion is very significant.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.3
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• pp.125-131
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• 2019

Through the 4th Industrial Revolution, various digital equipments are being distributed, and accordingly, the importance of data processing is increasing. As data processing has a great effect on the reliability of equipment, its importance is increasing, and various studies are being conducted. In this paper, we propose an algorithm to remove AWGN in consideration of the noise in the image. The proposed algorithm is used in the filtering process by inferring the standard deviation of the image noise. The noise is removed by dividing the filter for the high frequency component and the filter for the low frequency component compared with the standard deviation of the filtering mask. The proposed algorithm is simulated with the existing methods for evaluation and compared and analyzed by difference image, PSNR and profile. The proposed algorithm minimizes the effect of noise and preserves the important characteristics of the image and shows the performance of efficient noise removal.

• Journal of Broadcast Engineering
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• v.24 no.5
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• pp.870-878
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• 2019

In this paper, we propose an Attention-based BLSTM for predicting the video compression standard of a video. Recently, in NLP, many researches have been studied to predict the next word of sentences, classify and translate sentences by their semantics using the structure of RNN, and they were commercialized as chatbots, AI speakers and translator applications, etc. LSTM is designed to solve the gradient vanishing problem in RNN, and is used in NLP. The proposed algorithm makes video compression standard prediction possible by applying BLSTM and Attention algorithm which focuses on the most important word in a sentence to a bitstream of a video, not an sentence of a natural language.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.11 no.6
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• pp.77-87
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• 2001

This paper describes a design of cryptographic processor that implements the Rijndael cipher algorithm, the Advanced Encryption Standard algorithm. It can execute both encryption and decryption, and supports only 128-bit block and 128-bit keys. As the processor is implemented only one round, it must iterate 11 times to perform an encryption/decryption. We implemented the ByteSub and InvByteSub transformation using the algorithm for minimizing the increase of area which is caused by different encryption and decryption. It could reduce the memory size by half than implementing, with only ROM. We estimate that the cryptographic processor consists of about 15,000 gates, 32K-bit ROM and 1408-bit RAM, and has a throughput of 1.28 Gbps at 110 MHz clock based on Samsung 0.5um CMOS standard cell library. To our knowledge, this offers more reduced memory size compared to previously reported implementations with the same performance.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.4
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• pp.198-204
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• 2024

LDPC, known for its excellent error correction capability, has been adopted as the channel coding technique in the IRIG 106 standard, which is standard for data transmission methods in the aerospace field. Iterative codes such as LDPC require large block sizes and number of iterations in order to improve performance. However, large number of iterations induce computational complexity and power consumption. To solve these problems, this paper presents a parity check-based early stop algorithm that reduces the average number of iterations while maintaining the same performance. BER performance and iteration reduction amounts are compared between early stop algorithm and conventional method that has fixed number of iterations for various coding rate and information bit size defined in the IRIG 106 standard. Through simulation results, we confirmed required iteration numbers are reduced about 50% above without performance loss.

• Proceedings of the IEEK Conference
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• 2004.06b
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• pp.481-484
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• 2004

To make production and equipment investment plans in semiconductor Line, implementation of many variables is needed. But these factors could bring many changes and the result is hard to predict. Because prediction is hard, it is hard to make a standard. So this project established Semiconductor production plans using LP Algorithm to satisfy all the conditions from the factors and came up with thesis on reasonable and standardized process.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.404-409
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• 1998

In this paper, we propose a learning algorithm of fuzzy neural networks with trapezoidal fuzzy weights. This fuzzy neural networks can use fuzzy numbers as well as real numbers, and represent linguistic information better than standard neural networks. We construct trapezodal fuzzy weights by the composition of two triangles, and devise a learning algorithm using the two triangular membership functions, The results of computer simulations on numerical data show that the fuzzy neural networks have high fitting ability for target output.

• 제어로봇시스템학회:학술대회논문집
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• 1986.10a
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• pp.648-651
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• 1986

Sometimes, there are conditions when rapid control of the hypertension needed such as malignant hypertension, and the preoperative pereparation of the hypertensive patient requiring emergency operation, etc. Using the adaptive control algorithm, the mean arterial pressure reduction is achived rapidly and safely in hypertensive rabbit. Among the adaptive control algorithms the pole assignment self tuning control algorithm is superial to the one step ahead minium variance control algorithm. The convergence time is less than 600 sec, and the standard deviation of experimental data are less than 4 mmHg.

• Journal of information and communication convergence engineering
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• v.3 no.4
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• pp.205-208
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• 2005

This paper is about the hardware implementation of the Hash algorithm, HAS-160, which is widely used for Internet security and authentication. VHDL modeling was used for its realization and the operation speed has been increased by the optimized scheduling of the operations required for step operations.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.21-22
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• 2007

The reference scheduler presented by IEEE 802.11e standard is inefficient because it polls all admitted stations in the same interval. It increases poll overheads and waste time. In this paper we proposed an efficient scheduling algorithm to improve the aggregate throughput and the number of admitted stations.