• Journal of Korean Society of Environmental Engineers
• /
• v.29 no.5
• /
• pp.548-555
• /
• 2007

The control of wastewater treatment has two merits; one is to regulate water quality of effluent and the other is to reduce the cost of wastewater treatment. The purpose of this study was to control the ammonium nitrogen in effluent that is known to cause eutrophication. The control was based on simplified ASM No. 1 which had 3 component materials and 8 coefficients, and the control method was as following. Firstly the ammonium concentration of inflow was measured and the optimal aeration time in effluent was determined according to simplified ASM No. 1 to be 1.0 mg/L. If ammonium concentration of effluent was not equal to 1.0 mg/L, the influent ammonium was corrected by adaptive control. These processes above were repeatedly performed. The SBR running aerobic-anoxic phase had been controlled for 1 month with this method. As a result, the ammonium concentration of the effluent showed in the range of $0.22\sim3.1$ mg/L with an average concentration of 1.1 mg/L. The adaptive control method used in this study was found very useful to control and predict the effluent concentration of ammonium.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.21 no.6
• /
• pp.749-754
• /
• 2011

In this study, we propose the design of optimized pRBFNNs-based face recognition system using two-dimensional Image and ASM algorithm. usually the existing 2 dimensional face recognition methods have the effects of the scale change of the image, position variation or the backgrounds of an image. In this paper, the face region information obtained from the detected face region is used for the compensation of these defects. In this paper, we use a CCD camera to obtain a picture frame directly. By using histogram equalization method, we can partially enhance the distorted image influenced by natural as well as artificial illumination. AdaBoost algorithm is used for the detection of face image between face and non-face image area. We can butt up personal profile by extracting the both face contour and shape using ASM(Active Shape Model) and then reduce dimension of image data using PCA. The proposed pRBFNNs consists of three functional modules such as the condition part, the conclusion part, and the inference part. In the condition part of fuzzy rules, input space is partitioned with Fuzzy C-Means clustering. In the conclusion part of rules, the connection weight of RBFNNs is represented as three kinds of polynomials such as constant, linear, and quadratic. The essential design parameters (including learning rate, momentum coefficient and fuzzification coefficient) of the networks are optimized by means of Differential Evolution. The proposed pRBFNNs are applied to real-time face image database and then demonstrated from viewpoint of the output performance and recognition rate.

• Korean journal of food and cookery science
• /
• v.32 no.5
• /
• pp.549-558
• /
• 2016

Purpose: In this study, we aimed to minimize quality degradation of concentrated blueberry puree by thermal treatment at $90^{\circ}C$ for 5 min, with citric acid (CA) and acidic sodium metaphosphate (ASM) as pH modifiers. Methods: The color values, redness a, anthocyanin contents, DPPH radical scavenging, elastase inhibition and tyrosinase inhibition activities were evaluated for quality parameters of concentrated blueberry puree. Results: The highest values of color value, redness a, anthocyanin contents, DPPH radical scavenging, elastase inhibition and tyrosinase inhibition activities were 1% CA+0.5% ASM followed by 1% CA and control. The quality parameters of concentrated blueberry puree were significantly different between control and 1% CA+0.5% ASM treatment (p<0.05). Conclusion: During thermal treatment, quality degradation of concentrated blueberry puree was reduced by 1% CA+0.5% ASM treatment, which is expected for new acidulants.

• Journal of Korean Society on Water Environment
• /
• v.23 no.3
• /
• pp.309-313
• /
• 2007

In Activated Sludge Model, COD fraction of primary settled municipal wastewater was a very important parameter. In this study, the COD fraction was determined using the oxygen utilization rate experiments. Readily biodegradable COD ($S_S$) fraction was observed about 29.7% of influent TCOD. $S_I$, $X_I$, and $X_S$ were analyzed to be 7.6%, 7.3%, and 55.4% of TCOD, respectively. The model used in this study was developed based on ASM3 and modified Bio-P module in order to simulate the existing BNR process. Parameter estimation results showed that $Y_{STO,O2}$, $Y_{STO,NO}$, $Y_{H,O2}$, $Y_{H,NO}$, $Y_{PO4}$, ${\mu}_H$, $b_H$, ${\mu}_A$, $q_{PHA}$, $q_{PP}$ and ${\mu}_{PAO}$ were 0.7, 0.64, 0.61, 0.48, 0.31, 3.9, 0.1, 1.35, 4.98, 1.8 and 0.59, respectively. Using the presented model and the estimated parameters, the simulation of the existing BNR process was successfully conducted.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2016.05a
• /
• pp.62-63
• /
• 2016

A variety of sensors and equipment are installed on passenger ships. Data collection from these sensors and associated equipment is required for the safe navigation and behavior analysis of ships, but when the ship sails out of the area where it is not possible to use the LTE communication, other types of networks have to be able to support to transmit these information. such as AIS, satellite communication and MF/HF. In this paper, we survey data protocol of onboard sensors and design ASM messages to transfer sensor data on board to the shore-side system.

• The Journal of Korea Robotics Society
• /
• v.8 no.4
• /
• pp.266-272
• /
• 2013

Facial feature extraction and tracking are essential steps in human-robot-interaction (HRI) field such as face recognition, gaze estimation, and emotion recognition. Active shape model (ASM) is one of the successful generative models that extract the facial features. However, applying only ASM is not adequate for modeling a face in actual applications, because positions of facial features are unstably extracted due to limitation of the number of iterations in the ASM fitting algorithm. The unaccurate positions of facial features decrease the performance of the emotion recognition. In this paper, we propose real-time facial feature extraction and tracking framework using ASM and LK optical flow for emotion recognition. LK optical flow is desirable to estimate time-varying geometric parameters in sequential face images. In addition, we introduce a straightforward method to avoid tracking failure caused by partial occlusions that can be a serious problem for tracking based algorithm. Emotion recognition experiments with k-NN and SVM classifier shows over 95% classification accuracy for three emotions: "joy", "anger", and "disgust".

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.12 no.4
• /
• pp.1-12
• /
• 2016

Digital imaging technology has developed into a state-of-the-art IT convergence, composite industry beyond the limits of the multimedia industry, especially in the field of smart object recognition, face - Application developed various techniques have been actively studied in conjunction with the phone. Recently, face recognition technology through the object recognition technology and evolved into intelligent video detection recognition technology, image recognition technology object detection recognition process applies to skills through is applied to the IP camera, the image object recognition technology with face recognition and active research have. In this paper, we first propose the necessary technical elements of the human factor technology trends and look at the human object recognition based spFACS (Smile Progress Facial Action Coding System) for detecting smiles study plan of the image recognition technology recognizes objects. Study scheme 1). ASM algorithm. By suggesting ways to effectively evaluate psychological research skills through the image object 2). By applying the result via the face recognition object to the tooth area it is detected in accordance with the recognized facial expression recognition of a person demonstrated the effect of extracting the feature points.

• Journal of KIISE:Software and Applications
• /
• v.32 no.6
• /
• pp.473-485
• /
• 2005

UML activity diagram is useful to model business process and workflow by reason of its suitability to present dynamic aspect of system. However it Is difficult to present precise semantics which is taken as important in workflow system with the guide provided by OMG to the UML activity diagram. This paper suggests workfolw system modelling methodology by applying ASM semantics to the activity diagram after extending its semantics to correspond to workflow system characteristics. Through the exact definition to formal semactics based on ASM it is possible to effectively model workflow.

• Journal of Crop Science and Biotechnology
• /
• v.11 no.2
• /
• pp.127-134
• /
• 2008

Tobamoviruses are the major viral pathogens of tomato and bell pepper. The preliminary results showed that Acibenzolar-Smethyl(ASM; S-methylbenzo(1,2,3) thiadiazole-7-carbothiate) pre-treatment to tomato and tobacco plants reduces the concentration of Tomato mosaic tobamovirus(ToMV) and Tobacco mosaic tobamovirus(TMV) in tomato and bell pepper seedlings, respectively. Pre-treatment of the indicator plant(Nicotiana glutinosa) with the ASM followed by challenge inoculation with tobamoviruses produced a reduced number and size of local lesions(67 and 79% protection over control to TMV and ToMV inoculation, respectively). In order to understand the mechanism of resistance the gene expression profiles of antiviral genes was examined. RT-PCR products showed higher expression of two viral resistance genes viz., alternative oxidase(AOX) and RNA dependent RNA polymerase(RdRp) in the upper leaves of the ASM-treated tomato plants challenge inoculation with ToMV. Further, the viral concentration was also quantified in the upper leaves by reverse transcription PCR using specific primer for movement protein of ToMV, as well as ELISA by using antisera against tobamoviruses. The results provided additional evidence that ASM pre-treatment reduced the viral movement to upper leaves. The results suggest that expressions of viral resistance genes in the host are the key component in the resistance against ToMV in the inducer-treated tomato plants.

• Journal of Korea Multimedia Society
• /
• v.9 no.11
• /
• pp.1465-1473
• /
• 2006

In this paper, we present an approach for facial expression recognition using Active Shape Models(ASM) and a state-based model in image sequences. Given an image frame, we use ASM to obtain the shape parameter vector of the model while we locate facial feature points. Then, we can obtain the shape parameter vector set for all the frames of an image sequence. This vector set is converted into a state vector which is one of the three states by the state-based model. In the classification step, we use the k-NN with the proposed similarity measure that is motivated on the observation that the variation-regions of an expression sequence are different from those of other expression sequences. In the experiment with the public database KCFD, we demonstrate that the proposed measure slightly outperforms the binary measure in which the recognition performance of the k-NN with the proposed measure and the existing binary measure show 89.1% and 86.2% respectively when k is 1.