• Journal of the Semiconductor & Display Technology
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• v.13 no.2
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• pp.45-52
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• 2014

This paper proposes an efficient photo retrieval system that automatically indexes for searching of relevant images, using a combination of geo-coded information, direction/location of image capture device and content-based visual features. A photo image is labeled with its GPS (Global Positioning System) coordinates and direction of the camera view at the moment of capture, and the label leads to generate a geo-spatial index with three core elements of latitude, longitude and viewing direction. Then, content-based visual features are extracted and combined with the geo-spatial information, for indexing and retrieving the photo images. For user's querying process, the proposed method adopts two steps as a progressive approach, filtering the relevant subset prior to use a content-based ranking function. To evaluate the performance of the proposed scheme, we assess the simulation performance in terms of average precision and F-score, using a natural photo collection. Comparing the proposed approach to retrieve using only visual features, an improvement of 20.8% was observed. The experimental results show that the proposed method exhibited a significant enhancement of around 7.2% in retrieval effectiveness, compared to previous work. These results reveal that a combination of context and content analysis is markedly more efficient and meaningful that using only visual feature for image search.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.10a
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• pp.350-355
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• 1997

The problem of mathematical model for an unknown system by measureing its input-output data pairs is generally referred to as state estimates. The state estimation problem is often of importance in its own right since we may want to know the value of the states. For instance, in navigation, we may take noisy positional fixes using satelite or radar navigation, and the estimator can use these measurements to provide accurate estimates of current position, hedaing, and velocity. And the state estimates can also be used for control purposes. Then it is very important to know the state of plant. In this paper, the theory of the minimization of a loss function was used to design the fuzzy system. Here, the used teory is Least Square Esimation method. This parametrization has the Linear in the parameters charcteristic that allows standard parameter estimation technique to be used to estimate the parameters of the fuzzy system. The combination of the fuzzy system and the estimation m thod then performs as a nonlinear estimator. If several fuzzy label are defined for the input variables at the antecedent part, the fuzzy system then behaves as a collection of nonlinear estimators where different regions of rules have different parameters. In simulation results, the fuzzy model controlled a difference in the structure between the actual plant and the fuzzy estimator. It is also proved that the fuzzy system is equivalent to its transformed system. therefore we was able to get the state space equation of system with the estimated paramater.

• The Journal of Korean Medicine
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• v.25 no.4
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• pp.139-146
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• 2004

Objective : While the demand for herbal medicine has increased continuously, scientific data attesting to pharmacological activity are still insufficient. One important reason, especially in child patients, is the shortage of standardized instruments for clinical research. This study was designed to develop a scale to assess the effect of herbal medicine in children. Methods : The authors chose Gami-jiwhangtang (GJT) as a standard formulation and developed a scale, Bahn's Drug Evaluation Scale (BaDES), for this experiment. Forty-two healthy children, 7 and 8 years old, living in Seoul, Korea, volunteered to use GJT. The experimental group received GJT for 6 weeks, whereas the control group received no medicine. The children's mothers in both groups completed the BaDES on the sixth and twelfth week after GJT was commenced. Results : The experimental group showed a significant improvement in overall physical condition and gastrointestinal function as compared with the control group. Conclusion : These results suggest that BaDES may be a useful assessment tool for measuring the effect of herbal medicine.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.2
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• pp.702-723
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• 2020

The application of machine learning (ML) in intrusion detection has attracted much attention with the rapid growth of information security threat. As an efficient multi-label classifier, kernel extreme learning machine (KELM) has been gradually used in intrusion detection system. However, the performance of KELM heavily relies on the kernel selection. In this paper, a novel multiple kernel extreme learning machine (MKELM) model combining the ReliefF with nature-inspired methods is proposed for intrusion detection. The MKELM is designed to estimate whether the attack is carried out and the ReliefF is used as a preprocessor of MKELM to select appropriate features. In addition, the nature-inspired methods whose fitness functions are defined based on the kernel alignment are employed to build the optimal composite kernel in the MKELM. The KDD99, NSL and Kyoto datasets are used to evaluate the performance of the model. The experimental results indicate that the optimal composite kernel function can be determined by using any heuristic optimization method, including PSO, GA, GWO, BA and DE. Since the filter-based feature selection method is combined with the multiple kernel learning approach independent of the classifier, the proposed model can have a good performance while saving a lot of training time.

• Journal of Communications and Networks
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• v.7 no.3
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• pp.377-384
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• 2005

The purpose of this research is to develop and evaluate a traffic engineering architecture that uses local state information. This architecture is applied to an Internet protocol radio access network (RAN) that uses multi-protocol label switching (MPLS) and differentiated services to support mobile hosts. We assume mobility support is provided by a protocol such as the hierarchical mobile Internet protocol. The traffic engineering architecture is router based-meaning that routers on the edges of the network make the decisions onto which paths to place admitted traffic. We propose an algorithm that supports the architecture and uses local network state in order to function. The goal of the architecture is to provide an inexpensive and fast method to reduce network congestion while increasing the quality of service (QoS) level when compared to traditional routing and traffic engineering techniques. We use a number of different mobility scenarios and a mix of different types of traffic to evaluate our architecture and algorithm. We use the network simulator ns-2 as the core of our simulation environment. Around this core we built a system of pre-simulation, during simulation, and post-processing software that enabled us to simulate our traffic engineering architecture with only very minimal changes to the core ns-2 software. Our simulation environment supports a number of different mobility scenarios and a mix of different types of traffic to evaluate our architecture and algorithm.

• Korean Journal of Community Nutrition
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• v.7 no.4
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• pp.585-594
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• 2002

This study examined the status of current nutrition labelling and claims for the processed foods that were purchased in the supermarket. They were assessed in the aspects of frequency and content of nutrition labelling and claims. The results are summarized as follows; The percentage of products contain the nutrition labelling or claims of processed foods of investigation were 18.7% and 18.8% respectively. In the nutrition labelling method, the format separated by expression contents with 'only liability indication nutrient'or 'liability indication nutrients plus discretion indication nutrients' were 44.7% and 43.4% respectively. In the case of type and title, 'table' and 'nutrition composition'were used most frequently, 83.9% and 83.2% respectively. And in the case of expression unit, 'per 100 g or 100 ml'was higher (56.8%) than others. Nutrition claims were divided into 'nutrition content claim'and 'comparative claim', in the former the most claim was 'containing'and in the other'more or plus'used most frequently.'Nutrient function claim'was 13.4% and 'Implied nutrient claim'was 7.3% of all the claims. Results of the evaluation of current nutrition labeling system, nutrition labelling was less advanced and variable in content and format and also the information was not easy for consumers to understand and use them. To support achievement of the nutrition label, there must be program and initiatives for better understanding and communication and guidances on food labelling and nutrition for food manufactures.

• Biomolecules & Therapeutics
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• v.19 no.1
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• pp.1-8
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• 2011

G-protein coupled receptors (GPCRs) constitute an important class of drug targets and are involved in every aspect of human physiology including sleep regulation, blood pressure, mood, food intake, perception of pain, control of cancer growth, and immune response. Radiometric assays have been the classic method used during the search for potential therapeutics acting at various GPCRs for most GPCR-based drug discovery research programs. An increasing number of diverse small molecules, together with novel GPCR targets identified from genomics efforts, necessitates the use of high-throughput assays with a good sensitivity and specificity. Currently, a wide array of high-throughput tools for research on GPCRs is available and can be used to study receptor-ligand interaction, receptor driven functional response, receptor-receptor interaction,and receptor internalization. Many of the assay technologies are based on luminescence or fluorescence and can be easily applied in cell based models to reduce gaps between in vitro and in vivo studies for drug discovery processes. Especially, cell based models for GPCR can be efficiently employed to deconvolute the integrated information concerning the ligand-receptor-function axis obtained from label-free detection technology. This review covers various platform technologies used for the research of GPCRs, concentrating on the principal, non-radiometric homogeneous assay technologies. As current technology is rapidly advancing, the combination of probe chemistry, optical instruments, and GPCR biology will provide us with many new technologies to apply in the future.

• Investigative Magnetic Resonance Imaging
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• v.25 no.4
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• pp.300-312
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• 2021

Compressed sensing (CS) has been investigated in magnetic resonance (MR) parametric mapping to reduce scan time. However, the relatively long reconstruction time restricts its widespread applications in the clinic. Recently, deep learning-based methods have shown great potential in accelerating reconstruction time and improving imaging quality in fast MR imaging, although their adaptation to parametric mapping is still in an early stage. In this paper, we proposed a novel deep learning-based framework DEMO for fast and robust MR parametric mapping. Different from current deep learning-based methods, DEMO trains the network in an unsupervised way, which is more practical given that it is difficult to acquire large fully sampled training data of parametric-weighted images. Specifically, a CS-based loss function is used in DEMO to avoid the necessity of using fully sampled k-space data as the label, thus making it an unsupervised learning approach. DEMO reconstructs parametric weighted images and generates a parametric map simultaneously by unrolling an interaction approach in conventional fast MR parametric mapping, which enables multi-tasking learning. Experimental results showed promising performance of the proposed DEMO framework in quantitative MR T1ρ mapping.

• Journal of the Korean Society for information Management
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• v.21 no.2
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• pp.127-152
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• 2004

In the current information environment, the concept of a website has been transformed from the repository of information to means of accessing information which can communicate and interact with users. To function well as an accessing tool to information, the information embedded in a website should be organized in a way that users can easily understand the whole informational structure. This aspect of a website might be more important to a university's website. However, the informational structures which current university's websites adopt do not reflect their users' information needs. They construct their structure uniformly, and it causes the decrease of the websites' usability. To solve these problems, this study proposes a new and systematical way of constructing a university's website which can reflect users' information needs and ensure the usability of the websites.

• Journal of Dental Rehabilitation and Applied Science
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• v.29 no.4
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• pp.391-398
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• 2013

Botulinum toxin has been used for treating strabismus, blepharospasm, cerebral palsy, cervical dystonia, hyperhydrosis, facial wrinkle and chronic migraine under US Food and Drug administration approval. Also it has been tried spasticity-induced pain, post-herpetic neuralgia, myofascial pain and aphthous ulcer as off-label use. In this study, we reviewed recent studies that suggested effects of botulinum toxin on snoring and sleep apnea.