• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.2
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• pp.291-297
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• 2006

This paper describes the architecture for reducing its size and increasing the computation rate in implementing the SEED algorithm of a 128-bit block cipher, and the result of the circuit design. In order to increase the computation rate, it is used the architecture of the pipelined systolic array. This architecture is a simple thing without involving any buffer at the input and output part. By this circuit, it can be recorded 320 Mbps encryption rate at 10 MHz clock. We designed the circuits with goals of the high-speed computations and the simplified structures.

• The Transactions of the Korea Information Processing Society
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• v.6 no.5
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• pp.1403-1409
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• 1999

This paper proposes an algorithm for distinguishing Korean and English characters which can be applied to multi-font by using of the ratio height to width of each character and the structural characteristics. The proposed algorithm distinguishes Korean and English characters as the aspect ratio, existing or not of stroke image on the left-upper area, and detection of a bar in an input image. The process of detecting bar is a sequence of left, upper, right, and lower. Experimental results yield 100.00% distinction rate for the Myungjo font, 99.96% for the Sinmyungjo font and the Kungseo font, and 99.77% for the Gothic font of Hanguel word processor.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.10
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• pp.1572-1581
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• 1993

DFSM(Deterministic Finite State Machine) is used because it easily represents the control flow of a protocol in the protocol specification. Real protocols contain problem of nondeterminisms that have more than one enabled transition in the same state by same input. But DFSM does not process nondeterminism. So, in this paper, we first specify a protocol with NFSM (Nonderministic FSM) that may show the characteristics of nondeterminism, and propose an algorithm which converts NFSM to DFSM.

• Journal of Power Electronics
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• v.7 no.2
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• pp.132-139
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• 2007

Electrical motors are an integral part of industrial plants with no less than 5 billion motors built world wide every year. The demand for low-cost brushless DC (BLDC) motors has increased in industrial applications. This paper presents a BLDC motor control algorithm for low-cost motor drive applications using general purpose microcontrollers which have only one on-chip timer. This paper describes how to realize pulse width modulation (PWM) signals with general input/output (I/O) ports to control a three-phase permanent magnet brushless DC motor using the timer interrupt on MSP430F1232.

• MALSORI
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• no.35_36
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• pp.131-143
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• 1998

This study describes an algorithm for the F0 contour generation system for Korean sentences and its evaluation results. 400 K-ToBI labeled utterances were used which were read by one male and one female announcers. F0 contour generation system uses two classification trees for prediction of K-ToBI labels for input text and 11 regression trees for prediction of F0 values for the labels. Evaluation results of the system showed 77.2% prediction accuracy for prediction of IP boundaries and 72.0％ prediction accuracy for AP boundaries. Information of voicing and duration of the segments was not changed for F0 contour generation and its evaluation. Evaluation results showed 23.5Hz RMS error and 0.55 correlation coefficient in F0 generation experiment using labelling information from the original speech data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.649-650
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• 2010

This paper construct the sensibility database by extracting sensibility of 28 colors based on 12 color wheel. And, after the large color values are grouped by clustering of input image using k-mean algorithm, sensibility was extracted by matching with color and database. Also, we see the color sensible psychology of child using color distribution of children in painting.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.54
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• pp.13-26
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• 2000

Machining route selection to produce parts should be based on shop flow information because of input data at scheduling tasks and is one of the main problem in process planning. This paper addresses the problem of machining route selection in multi-stage process with machine group included a similar function. The model proposed is formulated as 0-1 integer programing considering the relation of parts and machine table size, avaliable time of each machine for planning period, and delivery date. The objective of the model is to minimize the sum of processing, transportation, and setup time for all parts. Genetic algorithm approach is developed to solve this model. The efficiency of the approach is examined in comparison with the method of branch and bound technique for the same problem. Also, this paper is to solve large problem scale and provide it if the multiple machining routes are existed an optimal solution.

• Journal of the Society of Naval Architects of Korea
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• v.59 no.2
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• pp.125-133
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• 2022

This paper proposes a fault detection method for a Unmanned Surface Vehicle (USV) with overactuated system. Current status information for fault detection is expressed as a scalogram image. The scalogram image is obtained by wavelet-transforming the USV's control input and sensor information. The fault detection scheme is based on Convolutional Neural Network (CNN) algorithm. The previously generated scalogram data was transferred learning to GoogLeNet algorithm. The data are generated as scalogram images in real time, and fault is detected through a learning model. The result of fault detection is very robust and highly accurate.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.552-554
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• 2021

We propose a fall recognition system using a deep learning algorithm using motion data acquired by a Doppler radar sensor. Among the deep learning algorithms, an RNN that has an advantage in time series data is used to recognize falls. The fall data of the Doppler radar sensor has a temporal characteristic as time series data, and the structure of the RNN is sequenced because the result only determines whether a fall or not It is designed in a structure that outputs a fixed size to the input.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.12
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• pp.2647-2654
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• 2011

In this paper, the algorithm that recognizes the gesture by configuring the feature information obtained through edge orientation histogram and principal component analysis as low dimensional gesture symbol was described. Since the proposed method doesn't require a lot of computations compared to the existing geometric feature based method or appearance based methods and it can maintain high recognition rate by using the minimum information, it is very well suited for real-time system establishment. In addition, to reduce incorrect recognition or recognition errors that occur during gesture recognition, the model feature values projected in the gesture space is configured as a particular status symbol through clustering algorithm to be used as input symbol of hidden Markov models. By doing so, any input gesture will be recognized as the corresponding gesture model with highest probability.