• Journal of the Korean Society of Tobacco Science
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• v.29 no.2
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• pp.85-89
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• 2007

This study was conducted to evaluate the prediction of sensory characteristics of smoke from the leaf chemical compounds and characterize leaf chemical components for the best tobacco taste's leaves in oriental tobacco. For analytical and sensory evaluations, seventy two grades were used. Sensory evaluation of tobacco smoke for six attributes were scored on fifteen-point scale by $10{\sim}14$ expert panels trained to estimate smoking quality quantitatively. The major leaf chemical compounds to predict the sensory characteristics of smoke were ether extract for tobacco-like, nicotine for impact and total nitrogen/nicotine ratio for irritation, and total sugar for off taste & odor. Within ${\pm}20%$ range of difference, the predictable probabilities of sensory characteristics of smoke from the leaf chemical compounds were 87.5 % for off taste & odor and $94.4{\sim}98.6\;%$ for tobacco-like, impact and irritation. As a result of K-means cluster analysis on the basis of tobacco taste, the desirable leaf chemical compound contents were $5.9{\sim}8.3\;%$ in ether extract, $1.35{\sim}2.27\;%$ in nicotine and $1.17{\sim}2.24$ in total nitrogen/nicotine ratio. This study suggest that the some regression equations may be useful to predict the sensory characteristics of tobacco smoke with a few selected leaf chemical compounds in oriental tobacco and to select the oriental tobacco leaves by means of enhancing the tobacco taste of cigarette.

• Imaging Science in Dentistry
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• v.45 no.4
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• pp.213-220
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• 2015

Purpose: The aim this study was to compare the accuracy of orthodontists and dentomaxillofacial radiologists in identifying 17 commonly used cephalometric landmarks, and to determine the extent of variability associated with each of those landmarks. Materials and Methods: Twenty digital lateral cephalometric radiographs were evaluated by two groups of dental specialists, and 17 cephalometric landmarks were identified. The x and y coordinates of each landmark were recorded. The mean value for each landmark was considered the best estimate and used as the standard. Variation in measurements of the distance between landmarks and measurements of the angles associated with certain landmarks was also assessed by a subset of two observers, and intraobserver and interobserver agreement were evaluated. Results: Intraclass correlation coefficients were excellent for intraobserver agreement, but only good for interobserver agreement. The least reliable landmark for orthodontists was the gnathion (Gn) point (standard deviation [SD], 5.92 mm), while the orbitale (Or) was the least reliable landmark (SD, 4.41 mm) for dentomaxillofacial radiologists. Furthermore, the condylion (Co)-Gn plane was the least consistent (SD, 4.43 mm). Conclusion: We established that some landmarks were not as reproducible as others, both horizontally and vertically. The most consistently identified landmark in both groups was the lower incisor border, while the least reliable points were Co, Gn, Or, and the anterior nasal spine. Overall, a lower level of reproducibility in the identification of cephalometric landmarks was observed among orthodontists.

• Journal of the Korean Data and Information Science Society
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• v.22 no.4
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• pp.619-630
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• 2011

In order to estimate an appropriate threshold and evaluate its performance for the data mixed with two different distributions, nine kinds of well-known classification accuracy measures such as MVD, Youden's index, the closest-to- (0,1) criterion, the amended closest-to- (0,1) criterion, SSS, symmetry point, accuracy area, TA, TR are clustered into five categories on the basis of their characters. In credit evaluation study, it is assumed that the score random variable follows normal mixture distributions of the default and non-default states. For various normal mixtures, optimal cut-off points for classification measures belong to each category are obtained and type I and II error rates corresponding to these cut-off points are calculated. Then we explore the cases when these error rates are minimized. If normal mixtures might be estimated for these kinds of real data, we could make use of results of this study to select the best classification accuracy measure which has the minimum error rate.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.45 no.12
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• pp.97-104
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• 2008

Location-based services provide customized information or services according to the user's location. The existing localization schemes for outdoor environment are not applicable to the indoor localization system which requires higher accuracy of location estimation than that of the outdoor localization system. In this paper, we employ the received signal strength(RSS) to approximate the distance between a moving target and a reference point and use the triangulation method to estimate the location of the moving target for the indoor localization system in IEEE 802.15.4 wireless PAN(personal area network). For the indoor localization system, we propose a scheme which selects the best reference points to enhance the localization accuracy and adaptively reflects the changes in propagation environments of a moving target to the distance approximation. Through the implementation of the localization system, we have verified the performance of the proposed scheme in terms of the estimation accuracy.

• The KIPS Transactions:PartC
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• v.18C no.3
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• pp.187-194
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• 2011

IEEE 802.11 wireless LAN has become the center of attention for one of the most dominant wireless networking technologies nowadays. In densely deployed wireless LANs, mobile stations are exposed to a number of AP, thus it is needed to select the best AP to associate with. The most common approach is to select the AP with the highest received signal strength. However it does not consider traffic load imposed to each AP so that it may cause the poor network performance. Therefore, in this paper, we propose a throughput estimation scheme for neighboring APs by sniffing the traffic within 802.11 networks. We devise a tool, named "VirtFrame", which is to estimate the station's capable throughput from neighbor APs based on the channel access time by virtually combining the sniffed frames. Simulation results show that our proposed scheme well matches that there exists correlation between the channel access time and the actual throughput of the APs.

• Management & Information Systems Review
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• v.30 no.2
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• pp.237-255
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• 2011

This empirical study is focused on practical application of Range-Based Volatility which is estimated by opening, high, low, closing price of overall asset. Especially proper forecasting period is what I want to know. There is four useful Range-Based Volatility(RV) such as Parkinson(1980; PK), Garman and Klass(1980; GK) Rogers and Satchell(1991; RS), Yang and Zhang(2008; YZ). So, four RV of KOPSI 200 index during 2000.5.22-2009.9.18 was used for empirical test. The emprirical result as follows. First, the best RV which shows the best forecasting performance is PK volatility among PK, GK, RS, YZ volatility. According to estimating period forcasting performance of RV shows delicate difference. PK has better performance in the period with financial crisis of sub-prime mortgage loan. if not, RS is better. Second, almost result shows better performance on forecasting volatility without sub-prime mortgage loan period. so we can say that forecasting performance is lower when historical volatiltiy is comparatively high. Finally, I find that longer estimating period in AR(1) and MA(1) model can reduce forecasting error. More interesting point is that the result shows rapid decrease form 60 days to 90 days and there is no more after 90 days. So, if we forecast the volatility using Range-Based volaility it is better to estimate with 90 trading period or over 90 days.

• Journal of Sericultural and Entomological Science
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• v.2
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• pp.73-81
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• 1962

This treatise is to analyze the chemical components in the mulberry varieties which are cultured in Korea and to estimate the nutritive values for them. Some of these varieties were developed lately in this country just by the general breeding aspect of mulberry leaf producing and silkworm raising experimentation without analysing the nutritive values of them which may be differed by various culturing condition. This work will be helpful for the improvement of mulberry varieties and the correct judgement of them. The varieties used for the analysis are as followings; A. Morus bombycis Koridz species. 1.Ichi-Hei. 2. Shimano-Uchi B. Morus alba L. species. 3. Kairyo-Nezumigaeshi. 4. Suwon-Daeyop. 5. Suwon No. 3. 6. Suwon No. 4. 7. Yongchon-Chuwoo. C. Morus Ihou (Ser.) Koidz species. 8. Ro-Soh. The specimens were eventually taken under the air and soil dry season because of the rain shortage during the sampling period and the results are found as a rather different from the normal specimen under the normal climate. Therefore, this treatise will be an important report on a special culturing condition and the nutritive values by the mulberry varieties, and still comparable because they were grown under the same condition. The individual conclusions are; 1. Yongchon-Chuwoo which was originated in this country, was found as an important variety for this country from the aspect of mulberry nutritive value and leaf producing amount, and it is believed that this is the best suitable variety for the soil of Korea. 2. Ichi-Hei occupies the better situation as well as Yongchon-Chuwoo from the nutritive criticizing even though it was originated in Japan. 3. The lately developed Suwon No.3 and No.4 are best from the leaf producing point of view, but they are not found such a good varieties from the nutritive aspect. The result may be happened as poor because they were cut before spring sprout started. 4. Ro-Soh which was normally recognized as a poor variety, was also found as a poor nutritive and leaf producing variety. 5. The crude protein and crude fat components in the mulberry leaves decreased as the leaf maturity was progressed, but the crude fiber and crude ash components increased reversively in general view. It was also found that there were some specific changing nature by the mulberry varieties and could not rule them by just one conclusion. 6. During the air and soil dry season, the ash component increases but the hydrocarbon and moisture contents decrease considerably, and which resulted to the increase of mulberry hardness ratio and the decrease of sugar-protein ratio, eventually it causes the decrease of the nutritive value. It was also found that Ichi-Hei, Ro-Soh, and Suwon No. 3 had a strong recovering nature to their normal nutritive condition after raining. 7. Mulberry is of course a rich calorie diet, and is calculated as 50 to 60 Cal. per gram.

• The KIPS Transactions:PartC
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• v.17C no.3
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• pp.251-258
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• 2010

In an indoor localization method taking the lateration-based approach, the location of a target is estimated with the location of anchor points (APs) and the approximated distances between the target and APs using received signal strength (RSS) measurements. The accuracy of distance estimation affects the localization accuracy of a lateration-based method. Since a radio propagation environment varies randomly in time and space, the highest RSSs do not necessarily give the best estimation of the distances between a target and APs. Thus, all APs hearing a target have been used for localization. However, the accuracy of a lateration-based method degrades if more APs beyond a certain threshold are used because the area of polygon with the APs increases. In this paper, we focus on reducing the size of the polygon to further increase the localization accuracy. We use the centroid of the polygon as a reference point to estimate the relative location of a target in the polygon. Once the relative location is estimated, only the APs which are closest to the target are used for localization to reduce the area of the polygon with the APs. We validate the proposed method by implementing an indoor localization system and evaluating the accuracy of the proposed method in the various experimental environments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.1-8
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• 2016

In this study, an WiFi fingerprinting method based on the k-nn algorithm was applied to improve the accuracy of location tracking of a moving train on a platform and evaluate the performance to minimize the estimation error of location tracking. The data related to the position of the moving train are monitored by the control center for trains and used widely for the safety and comfort of passengers. The train location tracking methods based on WiFi installed by telecom companies were evaluated. In this study, a simulator was developed to consider the environments of two cases; in already installed WiFi devices and new installed WiFi devices. The developed simulator can simulate the localized estimation of the position under a variety of conditions, such as the number of WiFi devices, the area of platform and entry velocity of train. To apply location tracking algorithms, a k-nn algorithm and fuzzy k-nn algorithm were applied selectively according to the underlying condition and also four distance measurement algorithms were applied to compare the error of location tracking. In conclusion, the best method to estimate train location tracking is a combination of the k-nn algorithm and Minkoski distance measurement at a 0.5m grid unit and 8 WiFi AP installed.

• Journal of Korean Society of Transportation
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• v.22 no.3 s.74
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• pp.109-125
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• 2004

In recent decades, microscopic simulation models have become powerful tools to analyze traffic flow on highways and to assist the investigation of level of service. The existing microscopic simulation models simulate an individual vehicle's speed based on a constant free-flow speed dominantly specified by users and driver's behavior models reflecting vehicle interactions, such as car following and lane changing. They set a single free-flow speed for a single vehicle on a given link and neglect to consider the effects of highway design elements to it in their internal simulation. Due to this, the existing models are limitted to provide with identical simulation results on both curved and tangent sections of highways. This paper presents a model developed to estimate the change of free-flow speeds based on highway design elements. Nine neural network models were trained based on the field data collected from seven different freeway curve sections and three different locations at each section to capture the percent changes of free-flow speeds: 100 m upstream of the point of curve (PC) and the middle of the curve. The model employing seven highway design elements as its input variables was selected as the best : radius of curve, length of curve, superelevation, the number of lanes, grade variations, and the approaching free-flow speed on 100 m upstream of PC. Tests showed that the free-flow speeds estimated by the proposed model were statistically identical to the ones from the field at 95% confidence level at each three different locations described above. The root mean square errors at the starting and the middle of curve section were 6.68 and 10.06, and the R-squares at these points were 0.77 and 0.65, respectively. It was concluded from the study that the proposed model would be one of the potential tools introducing the effects of highway design elements to free-flow speeds in simulation.