• 제어로봇시스템학회논문지
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• 제15권3호
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• pp.273-279
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• 2009

In this paper, we address the problem of detecting incorrect sonar measurements. We use ideas from the inconsistency of information among sonar measurements together with the sound pressure of the wave from the sonar sensor to develop a new method, called the comparison of the sound pressure (CSP), to detect incorrect sonar readings. The inconsistency of information in cells can be a clue that indicates candidates for incorrect measurements, and the sound pressure of the wave from the sonar sensor determines incorrect readings among the candidates. From various experiments, the proposed method is confirmed that it is better than existing method at deciding the state of sonar measurements.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권9호
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• pp.3515-3538
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• 2015

Data accuracy can be increased by detecting and removing the incorrect data generated in wireless sensor networks. By increasing the data accuracy, network lifetime can be increased parallel. Network lifetime or operational time is the time during which WSN is able to fulfill its tasks by using microcontroller with on-chip memory radio transceivers, albeit distributed sensor nodes send summary of their data to their cluster heads, which reduce energy consumption gradually. In this paper a powerful algorithm using proactive fuzzy system is proposed and it is a mixture of fuzzy logic with comparative correlation techniques that ensure high data accuracy by detecting incorrect data in distributed wireless sensor networks. This proposed system is implemented in two phases there, the first phase creates input space partitioning by using robust fuzzy c means clustering and the second phase detects incorrect data and removes it completely. Experimental result makes transparent of combined correlated fuzzy system (CCFS) which detects faulty readings with greater accuracy (99.21%) than the existing one (98.33%) along with low false alarm rate.

• 대한영양사협회학술지
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• 제9권2호
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• pp.138-148
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• 2003

The purpose of this study was to analyze information about food and nutrition topics presented throughout the television broadcast media, thereby suggest the optimal communication method to give right information to the general public. To perform this study, total sixteen monitoring people were recruited and trained through monitoring practice before and during the study . Five domestic TV channels were selected to be monitored, for six months. For the best efficiency, all the monitoring people were divided into 8 teams based on the regional consideration. The statistical analysis of data was completed using SAS program. The main results of this study are as follows. First, the total reporting cases of information about foods and nutrition were 237 , among which about 30% was classified as appropriate and 70% as inappropriate based on the trained monitors' evaluation. Second, the analysis of contents about incorrect informations showed that the insufficient descriptions of terminology and contents were the highest. And insufficient scientific evidences, incorrect contents excessively entertainment-oriented, no provision of alternatives , improper selection of expert advisors were followed. These results suggest that systematical monitoring should be continued to reduce the frequency of incorrect communication thereby give the right information in food and nutrition area to the general public. And there should be a closely cooperated system to provide the professional information to broadcasting production team by establishing the strategic program. In order to do that, most importantly the advisory team should be organized to professionally connect mass media to corresponding specialists. In addition, more educational programs about food and nutrition should be developed to provide right information to the general public.

• Journal of information and communication convergence engineering
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• 제17권1호
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• pp.74-83
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• 2019

This study designs a squat posture recognition system that can provide correct squat posture guidelines. This system comprises two modules: a Kinect camera for monitoring users' body movements and a Wii Balance Board(WBB) for measuring balanced postures with legs. Squat posture recognition involves two states: "Stand" and "Squat." Further, each state is divided into two postures: correct and incorrect. The incorrect postures of the Stand and Squat states were classified into three and two different types of postures, respectively. The factors that determine whether a posture is incorrect or correct include the difference between shoulder width and ankle width, knee angle, and coordinate of center of pressure(CoP). An expert and 10 participants participated in experiments, and the three factors used to determine the posture were measured using both Kinect and WBB. The acquired data from each device show that the expert's posture is more stable than that of the subjects. This data was classified using a support vector machine (SVM) and $na{\ddot{i}}ve$ Bayes classifier. The classification results showed that the accuracy achieved using the SVM and $na{\ddot{i}}ve$ Bayes classifier was 95.61% and 81.82%, respectively. Therefore, the developed system that used Kinect and WBB could classify correct and incorrect postures with high accuracy. Unlike in other studies, we obtained the spatial coordinates using Kinect and measured the length of the body. The balance of the body was measured using CoP coordinates obtained from the WBB, and meaningful results were obtained from the measured values. Finally, the developed system can help people analyze the squat posture easily and conveniently anywhere and can help present correct squat posture guidelines. By using this system, users can easily analyze the squat posture in daily life and suggest safe and accurate postures.

• 전자공학회논문지A
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• 제31A권10호
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• pp.1-9
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• 1994

In this paper, we have studied optimal FCL(Frequently Called List) table sizes in a grid topology circuit-switched network including wireless subscribers. The FCL table gives the position information of a destination subscriber for a call. When the call is generated in a node, this call is routed by the referenced position information of the destination subscriber in FCL table. In this paper, we have proposed an efficient routing algorithm, mixed FSR(Flood Search Routing) and DAR(Dynamic Adaptive Routing), considering moving wireless subscribers. Also, we have simulated hit ratio and incorrect ratio as performance parameters, consequently proposed the object function composed of table search time, hit ratio, incorrect ratio, FSR time and DAR time, and derived the optimal FCL table size by using it.

• 대한가정학회지
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• 제33권2호
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• pp.159-166
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• 1995

The purpose of the present study is to investigate how closely care labels comply with the 1984 version of the Care Labeling Rule, as well as the change in degree of compliance prior to and after the 1988 IFI care label campaign. Label information was analyzed on the basis of country of origin. The information was also divided into two sets. The basis for dividing the data into two sets was the beginning of the IFI care label campaign in 1988 The data were obtained from 1147 checklists. The information for 1147 samples in six clothing categories were collected from department, specialty, and discount stores. Chi-square analyses were conducted to test hypotheses. While there was no significant difference in the number of incorrect labels on domestically produced garments compared to imported garments in set 1, there was a significant difference in set 2. Also, there was a significnat differnece in the number of incorrect labels between in set 1 and in set 2.

• 한국통신학회논문지
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• 제25권3B호
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• pp.464-471
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• 2000

The number of quantization bits of the input signals $X_k$,$Y_k$ need to be optimally determined through the trade-off between the H/W complexity and the BER performance in Turbo codes applications. Also, an effective means to incorporate a channel reliability $L_c$ in the Log-MAP-based Turbo decoding is highly required. because it has a major effect on both the complexity and the performance. In this paper, a novel bit-shifting approach that substitutes for the multiplying is proposed so as to effectively incorporate. $L_c$ in Turbo decoding. The optimal number of quantization bits of $X_k$,$Y_k$ is investigated through Monte-Carlo simulations assuming that bit-shifting approach is adopted. In addition. The effects of an incorrect estimation of noise variance on the performance of Turbo codes is investigated. There is a confined range in which the effects of an incorrect estimation can be ignored.

• 한국콘텐츠학회지
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• 제10권3호
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• pp.45-52
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• 2012

• Journal of Nutrition and Health
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• 제36권5호
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• pp.508-514
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• 2003

The purpose of this study was to analyze information about food and nutrition presented through the television broadcast media, with the aim of finding out the optimal communication method for supplying the general public with accurate information. To perform this study, a total of sixteen monitoring people were recruited and trained before and during the study. Five domestic TV channels were selected to be monitored, and the total monitoring period was six months. For maximum efficiency, the monitoring people were assigned to 8 teams. The results of the present study can be summarized as follows : First, the total reported cases of information about food and nutrition were 237, of which about 30% were judged appropriate and 70％ as inappropriate. Second, classifying each case by program type, information programs made up the highest portion at 82 cases (34.6%), cooking programs accounted for 76 cases (32.1%), news programs for 40 cases (16.9%), and entertainment programs for 7 cases (3.0%). The analysis showed that the greatest amount of incorrect information was found in dramas, followed by entertainment, information, cooking and news programs. Third, classifying each case by theme of contents monitored, meal preparation and cookery made up the highest portion at 86 cases (36.3%), foods accounted for 67 cases (28.3%), disease and diet-therapy for 40 cases (16.9%), eating habits for 31 cases (13.1%), and diet and fitness for 13 cases (5.5%). Incorrect information was conveyed most often on the themes of food habits, foods, disease and diet-therapy, cookery, and diet and fitness. Fourth, classifying each case by channel, Cable TV had the highest frequency at 72 cases (30.4%), MBC had 51 cases (21.5%), SBS had 43 cases (18.1%), KBS1 had 41 cases (17.3%) and KBS2 had 30 cases (12.7%). In conclusion, systematic monitoring should be continued to reduce the frequency of incorrect information being broadcast and to help ensure that accurate information is conveyed to the general public. Moreover, there should be a system of cooperation to provide information to help broadcast production teams establish a strategic program. Finally, it is essential to organize an advisory team by promoting links between the mass media and specialists in the field, and to develop an educational program on nutrition to help ensure the communication of accurate information on food and nutrition. (Korean J Nutrition 36(5): 508∼514, 2003)

• 전자공학회논문지B
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• 제32B권6호
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• pp.909-921
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• 1995

The objective of this paper is to develop an algorithm for a real-time automatic fingerprint recognition system. The algorithm employs the Fast Fourier Transform (FFT) in determining the directions of ridges in fingerprint images, and utilizes statistical information in recognizing the fingerprints. The information used in fingerprint recognition is based on the dircetions along ridge curves and characteristic points such as core points and delta points. In order to find ridge directions, the algorithm applies the FFT to a small block of the size 8x8 pixels, and decides the directions by interpreting the resulted Fourier spectrum. By using the FFT, the algorithm does not require conventional preprocessing procedures such as smoothing, binarization, thinning, and restorationl. Finally, in matching two fingerprint images, the algorithm searches and compares two kinds of feature blocks, one as the blocks where the dircetions cannot be defined from the Fourier spectrum, and the other as the blocks where the changes of directions become abrupt. The proposed algorithm has been implemented on a SunSparc-2 workstation under the Open Window environment. In the experiment, the proposed algorithm has been applied to a set of fingerprint images obtained by a prism system. The result has shown that while the rate of Type II error - Incorrect recognition of two different fingerprints as the identical fingerprints - is held at 0.0%, the rate of Type I error - Incorrect recognition of two identical fingerprints as the different ones - is 2.2%.