• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.99-110
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• 2017

Improving tracking performance by estimating the status of multiple targets using radar is important. In a clutter environment, a joint event occurs between the track and measurement in multiple target tracking using a tracking filter. As the number increases, the joint event increases exponentially. The problem to be considered when multiple target tracking filter design in such environments is that first, the tracking filter minimizes the rate of false track alarmsby eliminating the false track and quickly confirming the target track. The purpose is to increase the FTD performance. The second consideration is to improve the track maintenance performance by allocating each measurement to a track efficiently when an event occurs. Through two considerations, a single target tracking data association technique is extended to a multiple target tracking filter, and representative algorithms are JIPDAF and LM-IPDAF. In this study, a probabilistic evaluation of many hypotheses in the assignment of measurements was not performed, so that the computation amount does not increase nonlinearly according to the number of measurements and tracks, and the track existence probability based on the track density The LM-IPDAF algorithm was introduced. This paper also proposes a method to reduce the computational complexity by improving the clutter density estimation method for calculating the track existence probability of LM-IPDAF. The performance was verified by a comparison with the existing algorithm through simulation. As a result, it was possible to reduce the simulation processing time by approximately 20% while achieving equivalent performance on the position RMSE and Confirmed True Track.

• Korean journal of food and cookery science
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• v.32 no.3
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• pp.270-278
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• 2016

Purpose: We have investigated for the purpose of studying change of vitamins and minerals in frequently used vegetables by low moisture cooking method. Methods: Vitamin B complex, vitamin C and mineral (Mg, Ca, K, Zn, Fe) contents are analyzed in vegetables such as spinach, cabbage, bean sprouts and carrot which are heat-treated with degrees of water contents. Low moisture cooking method represents heat-treated vegetable (LM experiment group) with 25 wt.% water content for the vegetable weight while general blanching method includes heat-treated vegetable (GB experiment group) with 500-1,000 wt.% water content for the vegetable weight. Results: Retention rate of vitamin B1 (thiamin) in the LM experiment group is relatively high (87.50-95.68%) and dosen't show considerable differences from raw vegetables. On the other hand, the retention rate of vitamin $B_1$ in GB group's cabbage and spinach dramatically decreased to 19.46-25.00%. Retention rate of vitamin B2 (riboflavin) is sustained stably in LM experiment group (75.00-87.50% in bean sprouts, cabbage and spinach), represents that low moisture cooking method has relatively higher contents in vitamin $B_2$. The LM experiment group has 71.43-85.71% on retention rate of niacin while the GB group shows relatively lower niacin (57.14-64.58%), represents conflicting results from the general idea that vitamin $B_3$ is relatively stable in heat treatment and blanching. Retention rate of pantothenic acid is considerably higher in both LM and GB experiment group, indicates vitamin pantothenic acid is relatively stable in the various cooking condition such as amount of water and heat treatment. In the experiment under various water contents, vitamin C is not detected in both bean sprouts and carrots, while the contents in cabbage and spinach are 19.87 mg/100 g and 26.65 mg/100 g respectively. In the same experiment, the retention rate of Vitamin C in LM experiment group (91.65%, 92.23%) is considerably higher than GB group (58.08%, 61.61%). Retention rate of Mg, K, Fe in the LM experiment group is relatively higher than GB group. Conclusion: Resultingly, the observations suggests that minimum water quantity and minimum heat treatment processes should be established in cooking vegetables which have soluble vitamins and minerals.

• Proceedings of the Korean Biophysical Society Conference
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• 2003.06a
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• pp.73-73
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• 2003

We report here the results on N-acetyl-N'-methylamide of alanine (Ac-Ala-NHMe) calculated using the ab initio molecular orbital method with the self-consistent reaction field (SCRF) theory at the HF level with the 6-3l+G(d) basis set to investigate the conformational preference of alanine depending on the backbone torsion angles $\square$ and$\square$ in the gas phase, chloroform, and water. There are seven local minima (LM) in the gas phase and two additional LM are found in chloroform and water. These two additional LM A (an $\square$-helical structure) and F (a polyproline structure) are stabilized only in solutions. In the gas phase, the lowest LM is the conformation C with a C$\sub$7/ intramolecular hydrogen bond and the relative conformational energies range from 0.3 to 6.0 ㎉/mol. In chloroform, the lowest LM is the conformation E (an extended structure) and the relative conformational energies range from 0.7 to 4.9 ㎉/mol. In particular, we identified 14 possible transition states connecting between seven LM in the gas phase. The search for transition states probable in chloroform and water is now in progress.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.1014-1017
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• 1992

This paper proposed LM method for solving bin-picking problem in robot vision. It has the processing steps such as image enchancement, image thresholding, region labelling, and moment computation. To determine a target object form bined objects, the modified labelling method is used. To determine position and orientation of holdsite, the moment method is used. Finally, some experiment results are illustated and compared with the results of conventional shrinking algorithm. The proposed LM method has reduced processing time.

• Journal of Plant Biotechnology
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• v.43 no.4
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• pp.473-478
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• 2016

With the increasing development and commercial use of genetically modified maize, it is essential to develop an appropriate method for detection of individual LMO (Living modified organism) events for monitoring the samples. In South Korea, commercial planting and accidental or unintentional releases of LMOs into the environment were not approved. In this study, to increase the efficiency of LMO detection, we developed simultaneous detection methods for 11 LM maize events. This multiplex PCR detection method is economical, as it saves time, cost and labor. We developed 11 individual LM maize events, and applied 4 multiplex PCR sets to the LM maize samples. These results are confirmed by applying the multiplex analysis of LMO environmental monitoring from 2012 to 2014, which represents the unintentionally released LM maize samples. The data were correlated with event specific PCR results. Our results indicate that the multiplex PCR method developed is suitable for detection of LM maize in LMO monitoring.

• Journal of Internet Computing and Services
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• v.6 no.6
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• pp.187-197
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• 2005

In this paper, we propose a method to estimate camera motion parameter based on invariant point features, Typically, feature information of image has drawbacks, it is variable to camera viewpoint, and therefore information quantity increases after time, The LM(Levenberg-Marquardt) method using nonlinear minimum square evaluation for camera extrinsic parameter estimation also has a weak point, which has different iteration number for approaching the minimal point according to the initial values and convergence time increases if the process run into a local minimum, In order to complement these shortfalls, we, first proposed constructing feature models using invariant vector of geometry, Secondly, we proposed a two-stage calculation method to improve accuracy and convergence by using 2D homography and LM method, In the experiment, we compared and analyzed the proposed method with existing method to demonstrate the superiority of the proposed algorithms.

• ETRI Journal
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• v.38 no.3
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• pp.487-493
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• 2016

Two new methods are proposed for an unsupervised adaptation of a language model (LM) with a single sentence for automatic transcription tasks. At the training phase, training documents are clustered by a method known as Latent Dirichlet allocation (LDA), and then a domain-specific LM is trained for each cluster. At the test phase, an adapted LM is presented as a linear mixture of the now trained domain-specific LMs. Unlike previous adaptation methods, the proposed methods fully utilize a trained LDA model for the estimation of weight values, which are then to be assigned to the now trained domain-specific LMs; therefore, the clustering and weight-estimation algorithms of the trained LDA model are reliable. For the continuous speech recognition benchmark tests, the proposed methods outperform other unsupervised LM adaptation methods based on latent semantic analysis, non-negative matrix factorization, and LDA with n-gram counting.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2004.05a
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• pp.326-331
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• 2004

The linear motion (LM) guide using ball bearing has many advantages compared with conventional sliding guides. Therefore, LM guide using ball bearing has been used widely to increase the accuracy of the position of a system. This research investigates dynamic characteristics of LM guide through mainly linear analysis. Linear analysis is accomplished by Lagrange equation and finite element method. And another trial that is nonlinear analysis about one mode of LM guide(bouncing mode) from Hertzian contact theory is accomplished in the latter half of this research. Through nonlinear analysis we could observe the softening characteristic due to the Hertzian contact nonlinearity.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.14 no.9 s.90
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• pp.868-876
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• 2004

The linear motion(LM) guide using ball bearing has many advantages compared with conventional sliding guides. Therefore, LM guide using ball bearing has been widely used to increase the accuracy of the position of a system. This research investigates dynamic characteristics of LM guide through mainly linear analyses. Linear analysis is accomplished by Lagrange equation and the finite element method. And another trial that performs nonlinear analysis about one mode(bouncing mode) of LM guide from Hertzian contact theory is accomplished in the latter half of this research. Through nonlinear analysis we could observe the softening characteristic due to the Hertzian contact nonlinearity.

• The Journal of the Acoustical Society of Korea
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• v.36 no.6
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• pp.419-424
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• 2017

TDoA (Time Difference-of Arrival) or DoA (Direction-of-Arrival) can be used for source localization. However, the localizing performance is dependent on relative position between source and receivers, receivers' geometric structure, sound speed, and so on. In this paper we propose a source localization method with enhanced performance that combines multiple information. The proposed method uses the time TDoA, DoA and sound speed as variables. LM (Levenberg-Marquardt) method which is one of nonlinear optimizations is applied. The performances of the proposed method was evaluated by simulation. As result of simulation, the proposed method has the lower average localizing error performance than the previous method.