• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.29 no.3
• /
• pp.511-514
• /
• 2019

Elliptic Curves Cryptosystem(ECC) provides the same level of security with relatively small key sizes, as compared to the traditional cryptosystems. The performance of ECC over GF(2m) and GF(p) depends on the efficiency of finite field arithmetic, especially the modular multiplication which is based on the reduction algorithm. In this paper, we propose a new modular reduction algorithm which provides high-speed ECC over NIST prime P-256. Detailed experimental results show that the proposed algorithm is about 25% faster than the previous methods.

• Journal of IKEEE
• /
• v.22 no.4
• /
• pp.1238-1241
• /
• 2018

In this paper, MNIST classification CNN with zero skipping is implemented. Activation of CNN results in 30% to 40% zero. Since 0 does not affect the MAC operation, skipping 0 through a branch can improve performance. However, at the convolution layer, skipping over a branch causes a performance degradation. Accordingly, in the convolution layer, an operation is skipped by giving a NOP that does not affect the operation. Fully connected layer is skipped through the branch. We have seen performance improvements of about 1.5 times that of existing CNN.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.10 no.1
• /
• pp.65-75
• /
• 2000

역할 기반 접근 제어(RBAC: Role Based Access Control)는 각 시스템 자원의 안전성을 보장하기 위한 접근 제어 기술이다. 거대한 네트워크에서 보안 관리의 복잡성과 비용을 줄여주는 기능 때문에, 특히 상업적인 분야에서 더욱 큰 관심을 끌고 있다. 본 논문에서는 RBAC 역할 계층 구조 개념만을 사용할 경우의 취약점을 해결하기 위해 두 가지 연산을 제시하였다. 그리고 이를 통하여 사용자와 권한(pemission)을 간접적으로 연관시킴으로써, RBAC 관리자가 사용자마다 연산을 추가하거나 삭제할 수 있도록 하였고 직관적인 관리자 인터페이스를 제공하여 관리자가 쉽게 사용자 역할, 그리고 연산 사이의 관계를 파악할 수 있도록 하였다. 그리고 이를 기반으로 RBAC 시스템을 설계하고 대학의 종합정보 시스템을 모델로 구현하였다.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.31 no.3
• /
• pp.309-322
• /
• 2021

In this study, an extension instruction set for high-speed operation of the ARIA block cipher algorithm on RISC-V processor is added to support high-speed cryptographic operation on low performance IoT devices. We propose the efficient ARIA cryptographic instruction set which runs on a conventional 32-bit processor. Compared to the existing software cryptographic operation, there is a significant performance improvement with proposed instruction set.

• Journal of Elementary Mathematics Education in Korea
• /
• v.24 no.1
• /
• pp.53-87
• /
• 2020

The purpose of this study was to find a future direction for improving computational estimation instruction through examining the contents of computational estimation included in the 2015 revised elementary school mathematics curriculum and elementary school mathematics textbook and teacher's guide. Through this, several suggestions was made as follow. Firs, it is necessary to emphasize the computational estimation across all grade groups. Second, it is necessary to teach the computational estimation strategies systematically. It was found that it is necessary to reinforce the activities related to computational estimation in the computation related units.

• Journal of Korea Society of Industrial Information Systems
• /
• v.22 no.2
• /
• pp.1-13
• /
• 2017

In This Paper, we find the Target Candidate Region and the Location of the Candidate Region by Performing the Morphological Difference Calculation and Pixel Labeling for Robust Small Target Detection in Infrared Image with low SNR. Conventional Target Detection Methods based on Morphology Algorithms are low in Detection Accuracy due to their Vulnerability to Clutter in Infrared Images. To Address the Problem, Target Signal Enhancement and Background Clutter Suppression are Achieved Simultaneously by Combining Moravec Algorithm and LCM (Local Contrast Measure) Algorithm to Classify the Target and Noise in the Candidate Region. In Addition, the Proposed Algorithm can Efficiently Detect Multiple Targets by Solving the Problem of Limited Detection of a Single Target in the Target Detection method using the Morphology Operation and the Gaussian Distance Function Which were Developed for Real time Target Detection.

• Journal of Educational Research in Mathematics
• /
• v.17 no.3
• /
• pp.233-251
• /
• 2007

The purpose of this study was to propose instructional methods using base-ten blocks in teaching the division of decimal for 5th grade students by analyzing the process of their conceptual comprehension. The students in this study were found to understand the two main meanings of the division of decimal, distribution and area, by modeling them with base-ten blocks. They were able to identify the algorithm through the use of base-ten blocks and to understand the principle of calculations by connecting the manipulative activities to each stage of algorithm. The students were also able to determine using base-ten blocks whether the results of division of decimal might be reasonable. This study suggests that the appropriate use of base-ten blocks promotes the conceptual understanding of the division of decimal.

• Journal of KIISE:Databases
• /
• v.32 no.4
• /
• pp.372-382
• /
• 2005

Aggregation such as computing an average value of data measured in each sensor commonly occurs in many applications of sensor networks. Since sensor networks consist of low-cost nodes with limited battery power, reducing energy consumption must be considered in order to achieve a long network lifetime. Reducing the amount of messages exchanged is the most important for saving energy. Earlier work has demonstrated the effectiveness of in-network data aggregation and data filtering for minimizing the amount of messages in sensor networks. In this paper, we propose an adaptive error adjustment scheme that is simpler, more effective and efficient than previous work. The proposed scheme is based on self-adjustment in each sensor node. We show through various experiments that our scheme reduces the network traffic significantly, and performs better than existing methods.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.18 no.1
• /
• pp.103-108
• /
• 2014

The flash memory which is exploited on hand-held devices such as smart phones is a non-volatile storage and has the benefit that it can store mass data at a small sized chip. To process queries on the mass data stored in the flash memory, the index scheme should be exploited. However, since the write operation of the flash memory is slower than the read operation and the overwrite is not supported, it is required to reevaluate the performance of the index and find out the drawbacks. In this paper, we evaluate the performance of a space division typed index scheme on the flash memory. To do this, we implement the fixed grid file and measure the average speeds of the query and update processing on a various condition and compare the value of the flash memory with that of the magnetic disk.

• Journal of Broadcast Engineering
• /
• v.20 no.2
• /
• pp.224-237
• /
• 2015

In this paper, we introduce the fast decoding method with the SIMD (Single Instruction Multiple Data) instructions for HEVC RExt (High Efficiency Video Coding Range Extensions). Several tools of HEVC RExt such as intra prediction, interpolation, inverse-quantization, inverse-transform, and clipping modules can be classified as the proper modules for applying the SIMD instructions. In consideration of bit-depth increasement of RExt, intra prediction, interpolation, inverse-quantization, inverse-transform, and clipping modules are accelerated by SSE (Streaming SIMD Extension) instructions. In addition, we propose effective implementations for interpolation filter, inverse-quantization, and clipping modules by utilizing a set of AVX2 (Advanced Vector eXtension 2) instructions that can use 256 bits register. The evaluation of the proposed methods were performed on the private HEVC RExt decoder developed based on HM 16.0. The experimental results show that the developed RExt decoder reduces 12% average decoding time, compared with the conventional sequential method.