• Title/Summary/Keyword: S-CAN

Search Result 75,876, Processing Time 0.093 seconds

Efficient Hardware Architecture of SEED S-box for Smart Cards

  • Hwang, Joon-Ho
    • JSTS:Journal of Semiconductor Technology and Science
    • /
    • v.4 no.4
    • /
    • pp.307-311
    • /
    • 2004
  • This paper presents an efficient architecture that optimizes the design of SEED S-box using composite field arithmetic. SEED is the Korean standard 128-bit block cipher algorithm developed by Korea Information Security Agency. The nonlinear function S-box is the most costly operation in terms. of size and power consumption, taking up more than 30% of the entire SEED circuit. Therefore the S-box design can become a crucial factor when implemented in systems where resources are limited such as smart cards. In this paper, we transform elements in $GF(2^8)$ to composite field $GF(((2^2)^2)^2)$ where more efficient computations can be implemented and transform the computed result back to $GF(2^8)$. This technique reduces the S-box portion to 15% and the entire SEED algorithm can be implemented at 8,700 gates using Samsung smart card CMOS technology.

The design T-S fuzzy model-based target tracking systems (T-S 퍼지모델 기반 표적추적 시스템)

  • Hoh Sun-Young;Joo Young-Hoon;Park Jin-Bae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2005.11a
    • /
    • pp.419-422
    • /
    • 2005
  • In this note, the Takagi-Sugeno (T-S) fuzzy-model-based state estimator using standard Kalman filter theory is investigated. In that case, the dynamic system model is represented the T-S fuzzy model with the fuzzy state estimation. The steady state solutions can be found for proposed modeling method and dynamic system for maneuvering targets can be approximated as locally linear system. And then, modeled filter is corrected by the fuzzy gain which is a fuzzy system using the relation between the filter residual and its variation. This paper studies the T-S fuzzy model-based state estimator which the dynamic system can be approximated as linear system.

  • PDF

Ulnar Nerve Compression in Guyon's Canal by Ganglion Cyst

  • Kwak, Kyung-Woo;Kim, Min-Su;Chang, Chul-Hoon;Kim, Seong-Ho
    • Journal of Korean Neurosurgical Society
    • /
    • v.49 no.2
    • /
    • pp.139-141
    • /
    • 2011
  • Compression of the ulnar nerve in Guyon's canal can result from repeated blunt trauma, fracture of the hamate's hook, and arterial thrombosis or aneurysm. In addition, conditions such as ganglia, rheumatoid arthritis and ulnar artery disease can rapidly compress the ulnar nerve in Guyon's canal. A ganglion cyst can acutely protrude or grow, which also might compress the ulnar nerve. So, clinicians should consider a ganglion cyst in Guyon's canal as a possible underlying cause of ulnar nerve compression in patients with a sudden decrease in hand strength. We believe that early decompression with removal of the ganglion is very important to promote complete recovery.

A Study on Sensitivity Analysis by Fuzzy Inference Rules Using Color and Location Information

  • Kim, Kwang-Baek;Woo, Young-Woon
    • Journal of information and communication convergence engineering
    • /
    • v.7 no.3
    • /
    • pp.268-274
    • /
    • 2009
  • Human beings can represent state of mind such as psychological state, personality or emotional trouble by the pictures painted on one's own initiative. But in general, it is hard to understand a consulter's unconscious state through one's objective and intentional descriptions only. So one's psychological state and emotional trouble can be understood and cured by color and location information of objects drawn in one's picture. By this reason, a consultant can help and settle a consulter's growth stages of life and emotional trouble through treatment by pictures. In this paper, we proposed a method to find out state of sensitivity by analysis of color and location information represented in a picture and fuzzy inference rules. We applied the proposed method to the states of sensitivity from color information proposed by Alschuler and Hattwick and the psychological states from location information proposed by Grunwald. In the experimental results by the two applications, we verified the proposed sensitivity analysis method is efficient.

On the Ship's Berthing Control by introducing the Fuzzy Neural Network (선박 접리안의 퍼지학습제어)

  • 구자윤;이철영
    • Journal of the Korean Institute of Navigation
    • /
    • v.18 no.2
    • /
    • pp.69-81
    • /
    • 1994
  • Studies on the ship's automatic navigation & berthing control have been continued by way of solving the ship's mathematical model, but the results of such studies have not reached to our satisfactory level due to its non-linear characteristics at low speed. In this paper, the authors propose a new berthing control system which can evaluate as closely as cap-tain's decision-making by using the FNN(Fuzzy Neural Network) controller which can simulate captain's knowledge. This berthing controller consists of the navigation subsystem FNN controller and the berthing subsystem FNN controller. The learning data are drawn from Ship Handling Simulator (NavSim NMS-90 MK Ⅲ) and represent the ship motion characteristics internally. According to learning procedure, both FNN controllers can tune membership functions and identify fuzzy control rules automatically. The verified results show the FNN controllers effective to incorporate captain's knowledge and experience of berthing.

  • PDF

Construction and verification of nonparameterized ship motion model based on deep neural network

  • Wang Zongkai;Im Nam-kyun
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
    • /
    • 2022.11a
    • /
    • pp.170-171
    • /
    • 2022
  • A ship's maneuvering motion model is important in a computer simulation, especially under the trend of intelligent navigation. This model is usually constructed by the hydrodynamic parameters of the ship which are generated by the principles of hydrodynamics. Ship's motion model is a nonlinear function. By using this function, ships' motion elements can be calculated, then the ship's trajectory can be predicted. Deeping neural networks can construct any linear or non-linear equation theoretically if there have enough and sufficient training data. This study constructs some kinds of deep Networks and trains this network by real ship motion data, and chooses the best one of the networks, uses real data to train it, then uses it to predict the ship's trajectory, getting some conclusions and experiences.

  • PDF

A Study on Weapon Systems Acquisition for the Use of Modeling & Simulation(M&S) (무기체계 획득을 위한 모델링 및 시뮬레이션(M&S) 활용에 관한 연구)

  • Lee, Pil-Jung;Lee, Young-Uk
    • Convergence Security Journal
    • /
    • v.11 no.3
    • /
    • pp.11-17
    • /
    • 2011
  • The acquisition of weapons systems test and evaluation in the early stages of the acquisition process as a source of data used for modeling and simulation are being actively encouraged. Thus, in the reliability of weapon systems acquisition can be called the most important part, and M&S to apply for this test reliability and accuracy of the assessment can provide, test time and cost savings, the pre-and post-test predictions and available data can provide. In this study, theoretical study of M&S to acquire weapon systems used for the importance of M&S, acquired the characteristics of the model, utilization for weapon systems acquisition, and weapon systems acquisition review for an effective utilization of M&S tries to find out.

A Study on the Spatial Planning and the Characteristics of User's Need in the Children's Library (어린이도서관에 있어서 이용자요구특성과 공간구성에 관한 연구)

  • Lee, Jeong-Mi;Kwack, Dong-Wha;Lim, Che-Zinn
    • Korean Institute of Interior Design Journal
    • /
    • v.16 no.6
    • /
    • pp.213-223
    • /
    • 2007
  • This study investigates the mutual effects of the physical environment and the characteristics of user's need in the children's libraries of open plan type. The children's library as a flexible space should accept user's diverse needs. Especially, Children express more positive and diverse behaviors than adults in physical environment. As the design information obtained from observation of children's behaviors are put to architectural design, the more affluent environment in which children can do positive behaviors can be made. We used two research methods of the behavior observation and interview for the children's library, and could formulate various using actions through the behavior setting observation for using library. A relational description for reading environment in this study, based on the affordance and the behavior setting theories, provided us with rich accounts for the psychological and sociocultural resources in the children's library. Consequently, the following results can be summarized. First, children need territories for family use and for place and are using library effectively through taking the two territories. Second, the zoning according to age category should be done, as behavior patterns were observed differently according to age. Third, the space composition with openness should be designed, as children need social relation and learning through imitation and observation.

A Dynamic QoS Adjustment Enabled and Load-balancing-aware Service Composition Method for Multiple Requests

  • Wu, Xiaozhu
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.15 no.3
    • /
    • pp.891-910
    • /
    • 2021
  • Previous QoS-aware service composition methods mainly focus on how to generate composite service with the optimal QoS efficiently for a single request. However, in the real application scenarios, there are multiple service requests and multiple service providers. It is more important to compose services with suboptimal QoS and maintain the load balance between services. To solve this problem, in this paper, we propose a service composition method, named as dynamically change and balancing composition method (DCBC). It assumes that the QoS of service is not static, and the services can adjust the value of QoS to gain more opportunities to be selected for composition. The method mainly includes two steps, which are the preprocessing step and the service selection step. In the preprocessing step, a backward global best QoS calculation is performed which regarding the static and dynamic QoS respectively; then guided by the global QoS, the feasible services can be selected efficiently in the service selection step. The experiments show that the DCBC method can not only improve the overall quality of composite services but also guarantee the fulfill ratio of requests and the load balance of services.