• Title/Summary/Keyword: Integrated research method

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Retrieval and Analysis of Integrated Water Vapor from Precise GPS Data Processing at IEODO Ocean Research Station

  • Lee, Hungkyu;Musa, Tajul Ariffin;Choi, Yunsoo;Yoon, Hasu;Lee, Dong-In
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.33 no.6
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    • pp.537-546
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    • 2015
  • This paper deals with the retrieval of integrated water vapor (IWV) from the zenith tropospheric delay estimated by precisely processing GPS observations at IEODO ocean research station in the East China Sea. A comparison of GPS-IWV with the radiosonde profiling from June and November in 2014 was made to confirm the method and the procedure, adopted for the IWV determination. A series of analysis of these IWV values was performed to capture characteristics of their seasonal and diurnal variations. Furthermore, the troposphere around the ocean research station during typhoon events was spatiotemporally analyzed by including thirteen GPS sites over the Korean Peninsula, indicating correlation between the typhoon location and the tropospheric density.

Integrated Model of Inventory and Waiting Time in EV Battery Switching Stations (배터리 교체식 전기차의 배터리 재고-차량 대기시간 통합모형)

  • Seo, Yong Won
    • Journal of the Korean Operations Research and Management Science Society
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    • v.37 no.4
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    • pp.51-65
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    • 2012
  • Battery switching EVs are considered to be a promising alternative to overcome long charging time problems in the EV adoption. The purpose of this research is to develop integrated model for battery inventory and battery switching waiting times. Due to complexity of exact analysis, a practical approximation method is developed, which provides close results to exact values. Numerical experiments show that there exist trade-offs between the battery inventory level and the number of switching stations. The proposed model can be applied to evaluate and select the minimum cost alternative in implementing the battery switching stations.

Synthesis and Non-Isothermal Crystallization Behavior of Poly (ethylene-co-1,4-butylene terephthalate)s

  • Jinshu Yu;Deri Zhou;Weimin Chai;Lee, Byeongdu;Le, Seung-Woo;Jinhwan Yoon;Moonhor Ree
    • Macromolecular Research
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    • v.11 no.1
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    • pp.25-35
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    • 2003
  • A series of random poly(ethylene-co-1,4-butylene terephthalate)s (PEBTs), as well as poly(ethylene terephthalate) (PET) and poly(1,4-butylene terephthalate) (PBT), were synthesized by the bulk polycondensation. Their composition, molecular weight, and thermal properties were determined. All the copolymers are crystallizable, regardless of the compositions, which may originate from both even-atomic-numbered ethylene terephthalate and butylenes terephthalate units that undergo inherently crystallization. Non-isothermal crystallization exotherms were measured over the cooling rate of 2.5-20.0 K/min by calorimetry and then analyzed reasonably by the modified Avrami method rather than the Ozawa method. The results suggest that the primary crystallizations in the copolymers and the homopolymers follow a heterogeneous nucleation and spherulitic growth mechanism. However, when the cooling rate increases and the content of comonomer unit (ethylene glycol or 1,4-butylene glycol) increases, the crystallization behavior still becomes deviated slightly from the prediction of the modified Avrami analysis, which is due to the involvement of secondary crystallization and the formation of relatively low crystallinity. Overall, the crystallization rate is accelerated by increasing cooling rate but still depended on the composition. In addition, the activation energy in the non-isothermal crystallization was estimated.

A Development of Integrated Evaluation Criteria for Level of Service on Urban Roadways (도로 서비스수준 평가를 위한 통합적 지표 개발)

  • Lee, Heeseung;Lee, Sooil;Won, Jaimu;Heo, Ec
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.4D
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    • pp.473-481
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    • 2009
  • This research developed integrated service assessment index on satisfaction with road use in consideration of not only quantitative parts, such as the existing traffic speed and delay but also qualitative parts, such as traffic information and traffic safety, etc. The newly devised assessment index developed assessment items and weight using ANP analysis method through the existing research results and questionnaire survey on traffic experts and road users. To verify the developed assessment index, this research measured the feeling degree of road users in time of their driving and analyzed the reasons using the brain waves tester; as an analysis result, the speed shown in the existing assessment index was found to have a 35% effect and further, the factors, such as traffic safety and traffic information were also found to have a lot of effects on the road $users^{\circ}{\emptyset}$ feeling degree. Accordingly, the integrated assessment index suggested by this research has its significance in that it is available to assessment in view of users rather than the existing satisfaction with the service in road use, and this index was developed to reflect the needs of the times, such as a fine view of roads, traffic information, and traffic safety.

FAULT DETECTION, MONITORING AND DIAGNOSIS OF SEQUENCING BATCH REACTOR FOR INTEGRATED WASTEWATER TREATMENT MANAGEMENT SYSTEM

  • Yoo, Chang-Kyoo;Vanrolleghem, Peter A.;Lee, In-Beum
    • Environmental Engineering Research
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    • v.11 no.2
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    • pp.63-76
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    • 2006
  • Multivariate analysis and batch monitoring on a pilot-scale sequencing batch reactor (SBR) are described for integrated wastewater treatment management system, where a batchwise multiway independent component analysis method (MICA) are used to extract meaningful hidden information from non-Gaussian wastewater treatment data. Three-way batch data of SBR are unfolded batch-wisely, and then a non-Gaussian multivariate monitoring method is used to capture the non-Gaussian characteristics of normal batches in biological wastewater treatment plant. It is successfully applied to an 80L SBR for biological wastewater treatment, which is characterized by a variety of error sources with non-Gaussian characteristics. The batchwise multivariate monitoring results of a pilot-scale SBR for integrated wastewater treatment management system showed more powerful monitoring performance on a WWTP application than the conventional method since it can extract non-Gaussian source signals which are independent and cross-correlation of variables.

A Genetic Algorithm for Integration of Process Planning and Scheduling in a Job Shop (Job Shop 통합 일정계획을 위한 유전 알고리즘)

  • Park, Byung-Joo;Choi, Hyung-Rim;Kang, Moo-Hong
    • Journal of the Korean Operations Research and Management Science Society
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    • v.30 no.3
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    • pp.55-65
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    • 2005
  • In recent manufacturing systems, most jobs may have several process plans, such as alternative sequence of operations, alternative machine etc. A few researches have addressed the necessity for the integration of process planning and scheduling function for efficient use of manufacturing resources. But the integration problem is very difficult and complex. Many prior researches considered them separately or sequentially. It introduces overlapping or partial duplications in solution efforts. In this paper, Integration problem of jobs with multiple process plans in a job shop environment Is addressed. In order to achieve an efficient integration between process planning and scheduling by taking advantage of the flexibility that alternative process plans offer, we designed GA(Genetic Algorithm)-based scheduling method. The performance of proposed GA is evaluated through comparing integrated scheduling with separated scheduling in real world company with alternative machines and sequences of operations. Also, a couple of benchmark problems are used to evaluate performance. The integrated scheduling method in this research can be effectively epplied to the real case.

A real-time unmeasured dynamic response prediction for nuclear facility pressure pipeline system

  • Seungin Oh ;Hyunwoo Baek ;Kang-Heon Lee ;Dae-Sic Jang;Jihyun Jun ;Jin-Gyun Kim
    • Nuclear Engineering and Technology
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    • v.55 no.7
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    • pp.2642-2649
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    • 2023
  • A real-time unmeasured dynamic response prediction process for the nuclear power plant pressure pipeline is proposed and its performance is tested in the test-loop system (KAERI). The aim of the process is to predict unmeasurable or unreachable dynamic responses such as acceleration, velocity, and displacement by using a limited amount of directly measured physical responses. It is achieved by combining a well-constructed finite element model and robust inverse force identification algorithm. The pressure pipeline system is described by using the displacement-pressure vibro-acoustic formulation to consider fully filled liquid effect inside the pipeline structure. A robust multiphysics modal projection technique is employed for the real-time sensor synchronized prediction. The inverse force identification method is also derived and employed by using Bathe's time integration method to identify the full-field responses of the target system from the modal domain computation. To validate the performance of the proposed process, an experimental test is extensively performed on the nuclear power plant pressure pipeline test-loop under operation conditions. The results show that the proposed identification process could well estimate the unmeasured acceleration in both frequency and time domain faster than 32,768 samples per sec.

Multimodal audiovisual speech recognition architecture using a three-feature multi-fusion method for noise-robust systems

  • Sanghun Jeon;Jieun Lee;Dohyeon Yeo;Yong-Ju Lee;SeungJun Kim
    • ETRI Journal
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    • v.46 no.1
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    • pp.22-34
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    • 2024
  • Exposure to varied noisy environments impairs the recognition performance of artificial intelligence-based speech recognition technologies. Degraded-performance services can be utilized as limited systems that assure good performance in certain environments, but impair the general quality of speech recognition services. This study introduces an audiovisual speech recognition (AVSR) model robust to various noise settings, mimicking human dialogue recognition elements. The model converts word embeddings and log-Mel spectrograms into feature vectors for audio recognition. A dense spatial-temporal convolutional neural network model extracts features from log-Mel spectrograms, transformed for visual-based recognition. This approach exhibits improved aural and visual recognition capabilities. We assess the signal-to-noise ratio in nine synthesized noise environments, with the proposed model exhibiting lower average error rates. The error rate for the AVSR model using a three-feature multi-fusion method is 1.711%, compared to the general 3.939% rate. This model is applicable in noise-affected environments owing to its enhanced stability and recognition rate.

A Finite-element Method Analysis of Electromagnetic Noise Absorption in a Coplanar Transmission Line Integrated with a Magnetic Film

  • Sohn, Jae-Cheon;Han, Suk-Hee;Lim, Sang-Ho
    • Journal of Magnetics
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    • v.11 no.2
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    • pp.90-94
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    • 2006
  • A finite-element method is used to analyze loss generation and electromagnetic noise absorption characteristics of a coplanar waveguide transmission line integrated with a magnetic thin film. Parameters used in the analysis are the electrical resistivity of the magnetic layer and the thickness of both magnetic and insulating layers. The results indicate that L-C resonance is the main loss mechanism of the electromagnetic noise absorption.

Integrated Dynamic Simulation of a Magnetic Bearing Stage and Control Design (자기베어링 스테이지의 동적 거동 통합 시뮬레이션을 통한 제어 설계)

  • Kim, Byung-Sub
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.22 no.4
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    • pp.730-734
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    • 2013
  • The dynamic simulation of machine tools and motion control systems has been widely used for optimization, design verification, control design, etc. There are three main streams in dynamic simulation: structural dynamic analysis based onthe finite element method, dynamic motion analysis based on equations of motion, and control system analysis based on transfer functions. Generally, one of these dynamic simulation methods is chosen and employed for specific purposes. In this study, an integrated dynamic simulation is introduced, in which the structure, motion, and control dynamics are combined together. Commercially well-known software is used in the integrated dynamic simulation: ANSYS, ADAMS, and Matlab/Simulink. Using the integrated dynamic simulation, the dynamics of a magnetic bearing stage is analyzed and the causes of oscillation and noise are identified. A controller design for suppressing a flexible dynamic mode is carried out and verified through the integrated dynamic simulation.