• Title/Summary/Keyword: combined systems

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A Study on Efficient Test & Evaluation Methods in Naval Ship Acquisitions (함정사업 시험평가의 효율적 수행방안에 관한 연구)

  • Kim, Jaeyong;Choi, Woensug;Hong, Sukyoon;Chung, Hyungyun;Song, Jeehun;Im, Wooseok;Kwon, Hyunwung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.19 no.6
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    • pp.703-711
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    • 2016
  • The purposes of this study is to identify the problems arising from current Test & Evaluation process of the naval ship acquisition program and to suggest methods to increase the acquisition efficiency. Considering that the present rule of developmental test &evaluation(DT&E) and operational test & evaluation(OT&E) has caused an inefficiency effect on the acquisition procedures due to the limited practices on it, the DT&E and OT&E procedures through test & evaluation master plan(TEMP) is proposed based on the selective practices of the defense instruction articles. Also, considering characteristics of naval ship acquisitions, efficient procedure systems are derived through case analysis results by comparing each performances of the system. The suggested methods are able to meet the requirements of the changed acquisition environments and also increase efficiency of acquisition systems by adoption of DT&E and OT&E combined test scheme.

Nano-delamination monitoring of BFRP nano-pipes of electrical potential change with ANNs

  • Altabey, Wael A.;Noori, Mohammad;Alarjani, Ali;Zhao, Ying
    • Advances in nano research
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    • v.9 no.1
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    • pp.1-13
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    • 2020
  • In this work, the electrical potential (EP) technique with an artificial neural networks (ANNs) for monitoring of nanostructures are used for the first time. This study employs an expert system to identify size and localize hidden nano-delamination (N.Del) inside layers of nano-pipe (N.P) manufactured from Basalt Fiber Reinforced Polymer (BFRP) laminate composite by using low-cost monitoring method of electrical potential (EP) technique with an artificial neural networks (ANNs), which are combined to decrease detection effort to discern N.Del location/size inside the N.P layers, with high accuracy, simple and low-cost. The dielectric properties of the N.P material are measured before and after N.Del introduced using arrays of electrical contacts and the variation in capacitance values, capacitance change and node potential distribution are analyzed. Using these changes in electrical potential due to N.Del, a finite element (FE) simulation model for N.Del location/size detection is generated by ANSYS and MATLAB, which are combined to simulate sensor characteristic, therefore, FE analyses are employed to make sets of data for the learning of the ANNs. The method is applied for the N.Del monitoring, to minimize the number of FE analysis in order to keep the cost and save the time of the assessment to a minimum. The FE results are in excellent agreement with an ANN and the experimental results available in the literature, thus validating the accuracy and reliability of the proposed technique.

Adaptive Call Admission and Bandwidth Control in DVB-RCS Systems

  • Marchese, Mario;Mongelli, Maurizio
    • Journal of Communications and Networks
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    • v.12 no.6
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    • pp.568-576
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    • 2010
  • The paper presents a control architecture aimed at implementing bandwidth optimization combined with call admission control (CAC) over a digital video broadcasting (DVB) return channel satellite terminal (RCST) under quality of service (QoS) constraints. The approach can be applied in all cases where traffic flows, coming from a terrestrial portion of the network, are merged together within a single DVB flow, which is then forwarded over the satellite channel. The paper introduces the architecture of data and control plane of the RCST at layer 2. The data plane is composed of a set of traffic buffers served with a given bandwidth. The control plane proposed in this paper includes a layer 2 resource manager (L2RM), which is structured into decision makers (DM), one for each traffic buffer of the data plane. Each DM contains a virtual queue, which exactly duplicates the corresponding traffic buffer and performs the actions to compute the minimum bandwidth need to assure the QoS constraints. After computing the minimum bandwidth through a given algorithm (in this view the paper reports some schemes taken in the literature which may be applied), each DM communicates this bandwidth value to the L2RM, which allocates bandwidth to traffic buffers at the data plane. Real bandwidth allocations are driven by the information provided by the DMs. Bandwidth control is linked to a CAC scheme, which uses current bandwidth allocations and peak bandwidth of the call entering the network to decide admission. The performance evaluation is dedicated to show the efficiency of the proposed combined bandwidth allocation and CAC.

Size Estimation of Microalgal System for Nitrogen Removal (미세조류를 이용한 질소제거 장치의 크기)

  • 김한욱;이우성;이철균
    • KSBB Journal
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    • v.19 no.3
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    • pp.236-240
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    • 2004
  • Korean wastewaters have higher nitrogen concentrations than typical wastewaters of other countries. Most treatment processes such as activated sludge processes will need to supplement extra carbon sources for a complete removal of remaining nitrogen after the initial wastewater treatment, Because of these difficult matters, we have searched wastewater treatment methods that require no additional carbon sources. Wastewater treatment by microalgae in photobioreactors, using a green eukaryotic microalgae, Chlorella kessleri, showed a promising results and thus was selected to study further. This system is not intended to replace the conventional system but is to assist the existing biological treatment systems as a supplemental nitrogen removal process. Thus the secondary treated livestock wastewater was tested. Column type photobioreactors developed in our laboratory were used. When aerated with 5% CO$_2$ balanced with air at 1 vvm and illuminated at 100 ${\mu}$mol/㎡/s under 25$^{\circ}C$ and PH 7-8 by CO$_2$ buffering effect, the maximum nitrogen removal rate was 2.6 mg/L/hr. The results confirmed a possibility of microalgal wastewater treatment system as a secondary system to remove extra nitrogen sources. Based on these experimental results, the size of the optimal microalgal wastewater system was calculated. For the wastewater whose initial nitrogen concentration of 150 mg/L, the optimal batch system was found to be a 2 stage system with a combined retention time of 4.6 day. From the continuous experiments, nitrogen removal rates were examined under different dilution rates and 2 stage system was also found to be the optimal system. The combined retention time for the continuous system was 3.5 days. It is expected that conventional biological wastewater treatment systems followed by microalgal systems would reliably decrease the nitrogen concentration below the government criteria even for the livestock wastewater with low C/N ratio.

A Study on the Optimal Solar Power System for 10kW Wind Power in the Mokpo Seaside (목포해안지역의 10kW급 풍력과 최적의 태양광 복합발전시스템에 관한 연구)

  • Cho, Dong-Hoon;Bae, Cherl-O;Park, Young-San
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.13 no.1 s.28
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    • pp.69-73
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    • 2007
  • As the interest in environmental pollution increases, the use of renewable energy is uprising. Among the renewable energy resources, wind and solar energy have no environmental impact and they can be used as unlimited resources. The two power systems are mutual supplementary systems. So the two systems are usually combined for generation. We have measured several data about wind and solar. These data can be used the foundation data for the construction of wind and solar power generation plants. Also we analyzed the possible optimal solar power system for 10[kW] wind power.

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Effects of Ground Faults on the Safety of Persons and Low-voltage Installations in 22.9 kV-Y Distribution Systems (22.9 kV-Y 계통에서 지락고장이 인체 및 저압설비의 안전에 미치는 영향)

  • Kim, Han-Soo;Chung, Jae-Hee;Kang, Kae-Myung
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.22 no.1
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    • pp.141-148
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    • 2008
  • This paper presents experimental results on the safety of persons and protection of low-voltage equipments of the sub-station due to a single-phase ground fault in 22.9 kV-Y distribution system. In order to evaluate the hazard voltages and the stress voltage of the low-voltage(LV) equipment due to faults between high-voltage systems and earth based on the newly prescribed KS C IEC 60364 standard series, the verification tests in a 22.9[kV] neutral multiple grounding system were carried out. From the experimental results, we introduce serious problems causing some discomfort when applying KS C IEC 60364 standard series to the existing domestic distribution system and the effective protective measures against temporary overvoltages due to a ground fault in the common grounding which is combined the 22.9 kV-Y grounding and the customer's installation grounding are proposed. As a consequence, it was found that the equipotential bonding is an important prerequisite for the effectiveness of the protective measures for the safety of persons and LV equipment in the combined 22.9 kV-Y and low-voltage grounding system.

The Design of Adaptive Fuzzy Polynomial Neural Networks Architectures Based on Fuzzy Neural Networks and Self-Organizing Networks (퍼지뉴럴 네트워크와 자기구성 네트워크에 기초한 적응 퍼지 다항식 뉴럴네트워크 구조의 설계)

  • Park, Byeong-Jun;Oh, Sung-Kwun;Jang, Sung-Whan
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.2
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    • pp.126-135
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    • 2002
  • The study is concerned with an approach to the design of new architectures of fuzzy neural networks and the discussion of comprehensive design methodology supporting their development. We propose an Adaptive Fuzzy Polynomial Neural Networks(APFNN) based on Fuzzy Neural Networks(FNN) and Self-organizing Networks(SON) for model identification of complex and nonlinear systems. The proposed AFPNN is generated from the mutually combined structure of both FNN and SON. The one and the other are considered as the premise and the consequence part of AFPNN, respectively. As the premise structure of AFPNN, FNN uses both the simplified fuzzy inference and error back-propagation teaming rule. The parameters of FNN are refined(optimized) using genetic algorithms(GAs). As the consequence structure of AFPNN, SON is realized by a polynomial type of mapping(linear, quadratic and modified quadratic) between input and output variables. In this study, we introduce two kinds of AFPNN architectures, namely the basic and the modified one. The basic and the modified architectures depend on the number of input variables and the order of polynomial in each layer of consequence structure. Owing to the specific features of two combined architectures, it is possible to consider the nonlinear characteristics of process system and to obtain the better output performance with superb predictive ability. The availability and feasibility of the AFPNN are discussed and illustrated with the aid of two representative numerical examples. The results show that the proposed AFPNN can produce the model with higher accuracy and predictive ability than any other method presented previously.

Survey on Grade System and Job Types of Dental Hygienists in Dental Hospital (치과병원 근무 치과위생사의 직급체계와 직무유형 조사)

  • Lee, Jeong-Suk;Cho, Young-Sik
    • Korea Journal of Hospital Management
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    • v.22 no.4
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    • pp.24-32
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    • 2017
  • Purpose: This study is to provide basic data for establishing successful organization management strategies of organizations by understanding rank systems and duty types of dental hygienists who work in dental hospitals. Methodology/Approach: The study conducted a survey and an interview survey two times targeting the entire dental hospitals. The first survey secured the response results of 113 hospitals in the result that conducted the survey targeting 190 dental hospitals in the whole country except 24 ones including dental college hospitals, dental hospitals affiliated with medical colleges or general hospitals, military dental hospitals, and dental hospitals for the disabled among the 214 ones which were registered in the Health Insurance Review & Assessment Service as of December 2015. The second survey conducted the interview survey targeting persons in charge of personnel management by selecting 34 dental hospitals with rank systems of 4 rank systems and above. Finding: The dental hospital has found that dental hygienists-centered human resources were composed. The number of ranks has found that 1 to 6 levels are shown and level 3 is highest. Titles of staff levels have found that 32 places are highest in order of 'employees

A study of Heat & Smoke Extraction Effects by the Various Operation of funnel Fan Shaft Ventilation (터널팬 샤프트 환기 방식에 따른 열 및 연기배출효과에 관한 연구)

  • Rie, Dong-Ho;Yoo, Ji-Oh
    • Fire Science and Engineering
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    • v.18 no.2
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    • pp.49-56
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    • 2004
  • Today's popular ventilation systems include the combined jet fans and electrostatic precipitation systems or the combined jet fans and vertical shaft system. Tunnels with these two ventilation systems applied have been designed and opened, more and more interest has been put in maintenance of a tunnel after opening. Therefore. it is to become more important to come up with the optimal operation mode and the method for the evaluation of ventilation system. In this study, to evaluate a tunnel ventilation and its economy, a dynamic simulation program was developed which can simulate the unsteady-state tunnel air velocity and concentration of pollutants according to the traffic flow variations and operation condition of a ventilation system. We clarified the effectiveness usage on tunnel ventilation by using it and also we could found the most economical ventilation operation mode by application in real exit tunnel. We obtained that combination of fan system and electrostatic precipitation system was more economical than jet fan priority operation mode.

Probabilistic Analysis of JPV Prime Generation Algorithm and its Improvement (JPV 소수 생성 알고리즘의 확률적 분석 및 성능 개선)

  • Park, Hee-Jin;Jo, Ho-Sung
    • Journal of KIISE:Computer Systems and Theory
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    • v.35 no.2
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    • pp.75-83
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    • 2008
  • Joye et al. introduced a new prime generation algorithm (JPV algorithm hereafter), by removing the trial division from the previous combined prime generation algorithm (combined algorithm hereafter) and claimed that JPV algorithm is $30{\sim}40%$ faster than the combined algorithm. However, they only compared the number of Fermat-test calls, instead of comparing the total running times of two algorithms. The reason why the total running times could not be compared is that there was no probabilistic analysis on the running time of the JPV algorithm even though there was a probabilistic analysis for the combined algorithm. In this paper, we present a probabilistic analysis on the running time of the JPV algorithm. With this analytic model, we compare the running times of the JPV algorithm and the combined algorithm. Our model predicts that JPV algorithm is slower than the combined algorithm when a 512-bit prime is generated on a Pentium 4 system. Although our prediction is contrary to the previous prediction from comparing Fermat-test calls, our prediction corresponds to the experimental results more exactly. In addition, we propose a method to improve the JPV algorithm. With this method, the JPV algorithm can be comparable to the combined algorithm with the same space requirement.