• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.39C no.1
• /
• pp.17-27
• /
• 2014

As the importance of Cooperative Engagement Capability and network-centric warfare has been dramatically increasing, it is necessary to develop distributed tracking systems. Under the development of distributed tracking systems, it requires tracking filters and data fusion theory for nonlinear systems. Therefore, in this paper, the problem of nonlinear track fusion, which is suitable for distributed networks, is formulated, four algorithms to solve the problem of nonlinear track fusion are introduced, and performance of introduced algorithms are analyzed. It is a main problem of nonlinear track fusion that cross-covarinaces among multiple platforms are unknown. Thus, in order to solve the problem, two techniques are introduced; a simplification technique and a approximation technique. The simplification technique that help to ignore cross-covariances includes two algorithms, i.e. the sample mean algorithm and the Millman formula algorithm, and the approximation technique to obtain approximated cross-covariances utilizes two approaches, by using analytical linearization and statistical linearization based on the sigma point approach. In simulations, BCS fusion is the most efficient scheme because it reduces RMSE by approximating cross-covariances with low complexity.

• Journal of Sensor Science and Technology
• /
• v.28 no.5
• /
• pp.277-283
• /
• 2019

In this paper, we propose a distributed fusion estimation for sensor networks using a receding horizon strategy. Communication channels were modelled as Markov jump systems, and a posterior probability distribution for communication channel characteristics was calculated and incorporated into the filter to allow distributed fusion estimation to handle path loss observation situations automatically. To implement distributed fusion estimation, a Kalman-Consensus filter was then used to obtain the average consensus, based on the estimates of sensors randomly distributed across sensor networks. The advantages of the proposed algorithms were then verified using a large-scale sensor network example.

• Journal of Sensor Science and Technology
• /
• v.28 no.3
• /
• pp.146-151
• /
• 2019

This paper reports a sliding window filtering approach for ground moving targets with cross-correlated sensor noise and uncertainty. In addition, the effect of uncertain parameters during a tracking error on the model performance is considered. A distributed fusion sliding window filter is also proposed. The distributed fusion filtering algorithm represents the optimal linear combination of local filters under the minimum mean-square error criterion. The derivation of the error cross-covariances between the local sliding window filters is the key to the proposed method. Simulation results of the motion of the ground moving target a demonstrate high accuracy and computational efficiency of the distributed fusion sliding window filter.

• Herbal Formula Science
• /
• v.25 no.4
• /
• pp.449-456
• /
• 2017

Objective : Coptis rhizoma is traditional herb in Korean medicine, and Pelargonium sidoides extract has been used for relief of acute bronchitis in Western medicine. The present study examined the antibacterial effect of fusion formulation of Coptis rhizoma extract and Pelargonium sidoides extract against bronchial diseases bacteria. Methods : Test sample, fusion formulation of Korean and Western medicine, was prepared by mixing Coptis rhizoma extract and Pelargonium sidoides extract at a ratio of 1:2 (w/w). Antimicrobial properties of test sample were determined by agar diffusion assay and minimum inhibitory concentration (MIC) against bronchus diseases bacteria. Results : In agar diffusion assay, the highest amount of test sample (4 mg/disk) exhibited antibacterial activity against all microorganisms tested. Test sample showed the high activity for S. aureus (19.5 mm), C. diptheriae (16.5 mm), A. fumigatus (19.3 mm), F. nucleatum (22.7 mm) and Mycobactrium sp. (17.3 mm), whereas it showed a low activity for K. pneumonia (9.7 mm). The MIC value was determined as $250{\mu}g/m{\ell}$ against C. diptheriae. Test sample showed better growth inhibitory effects against S. aureus and A. fumigatus with the MIC valus of $125{\mu}g/m{\ell}$. Conclusion : These results suggest the possibility of application to chronic respiratory diseases of fusion formulation of Korean and Western medicine, which was prepared with Coptis rhizoma extract and Pelargonium sidoides extract.

• Journal of Sensor Science and Technology
• /
• v.25 no.6
• /
• pp.418-422
• /
• 2016

A filtering algorithm based on the decentralized moving average Kalman filter with uncertainties is proposed in this paper. The proposed filtering algorithm presented combines the Kalman filter with the moving average strategy. A decentralized fusion algorithm with the weighted sum structure is applied to the local moving average Kalman filters (LMAKFs) of different window lengths. The proposed algorithm has a parallel structure and allows parallel processing of observations. Hence, it is more reliable than the centralized algorithm when some sensors become faulty. Moreover, the choice of the moving average strategy makes the proposed algorithm robust against linear discrete-time dynamic model uncertainties. The derivation of the error cross-covariances between the LMAKFs is the key idea of studied. The application of the proposed decentralized fusion filter to dynamic systems within a multisensor environment demonstrates its high accuracy and computational efficiency.

• The Transactions of the Korean Institute of Electrical Engineers
• /
• v.39 no.4
• /
• pp.386-392
• /
• 1990

This paper discribes a sonar-based certainty grid, the probabilistic representation of the uncertain and incomplete sensor knowledge, for autonomous mobile robot navigation. We use sonar sensor range data to build a map of the robot's surroundings. This range data provides information about the location of the objects which may exist in front of the sensor. From this information, we can compute the probability of being occupied and that of being empty for each cell. In this paper, a new method using Bayesian formula is introduced, which enables us to overcome some difficulties of the Ad-Hoc formula that has been the only way of updating the grids. This new formula can be applied to other kinds of sensors as well as sonar sensor. The validity of this formula in the real world is verified through simulation and experiment. This paper also shows that a wide angle sensor such as sonar sensor can be used effectively to identify the empty area, and the simultaneous use of multiple sensors and fusion in a certainty grid can improve the quality of the map.

• Journal of the Korean Society for information Management
• /
• v.32 no.1
• /
• pp.7-22
• /
• 2015

This paper describes a Web search optimization study that investigates both static and dynamic tuning methods for optimizing system performance. We extended the conventional fusion approach by introducing the "dynamic tuning" process with which to optimize the fusion formula that combines the contributions of diverse sources of evidence on the Web. By engaging in iterative dynamic tuning process, where we successively fine-tuned the fusion parameters based on the cognitive analysis of immediate system feedback, we were able to significantly increase the retrieval performance. Our results show that exploiting the richness of Web search environment by combining multiple sources of evidence is an effective strategy.

• Herbal Formula Science
• /
• v.20 no.2
• /
• pp.47-54
• /
• 2012

Objectives : This study aimed to build up information system for the 25 cases of Korean Medicine (KM) prescriptions which are used mostly often in clinic and aimed to offer information about its effect and safety to public and researcher. Methods : We used KM prescription data-bank which came from 'The Bio-informatics for herbal formula' and 'The evidence based medicine for herbal formula' projects of Korean Institute of Oriental Medicine (KIOM) Results : First, we analyzed prescription data and categorized 7 classes, then we built up prescription database based on it. Second, we designed and developed user functions of prescription information system, then we link it to OASIS. Third, we developed adminstration system to manage the prescription data. Conclusions : From this study we hope that KM prescription information system will be used for fusion research based on KM. Because the implemented system is linked to OASIS, we expect it will be widely used.

• Journal of Korean Library and Information Science Society
• /
• v.45 no.3
• /
• pp.5-36
• /
• 2014

The Web is rich with various sources of information that go beyond the contents of documents, such as hyperlinks and manually classified directories of Web documents such as Yahoo. This research extends past fusion IR studies, which have repeatedly shown that combining multiple sources of evidence (i.e. fusion) can improve retrieval performance, by investigating the effects of combining three distinct retrieval approaches for Web IR: the text-based approach that leverages document texts, the link-based approach that leverages hyperlinks, and the classification-based approach that leverages Yahoo categories. Retrieval results of text-, link-, and classification-based methods were combined using variations of the linear combination formula to produce fusion results, which were compared to individual retrieval results using traditional retrieval evaluation metrics. Fusion results were also examined to ascertain the significance of overlap (i.e. the number of systems that retrieve a document) in fusion. The analysis of results suggests that the solution spaces of text-, link-, and classification-based retrieval methods are diverse enough for fusion to be beneficial while revealing important characteristics of the fusion environment, such as effects of system parameters and relationship between overlap, document ranking and relevance.

• Progress in Superconductivity
• /
• v.9 no.2
• /
• pp.152-156
• /
• 2008

Detailed field and strain dependence of the critical current and the n-value for an internal-tin processed $Nb_3Sn$ strand have been measured. Both the compressive and tensile strain is applied reversibly using Walter spiral probe made of BeCu up to 0.73 %. There is a correlation between the critical current and the n-value for the $Nb_3Sn$ strand studied in this work and the field dependence of the n-value is in agreement with a recent empirical formula. It was further shown that the critical current can be reasonably well fitted by the scaling law based on strong-coupling theory of superconductivity using the relation between the critical current and the n-value.