• 제목/요약/키워드: DOS model

검색결과 58건 처리시간 0.025초

종합 교통수요 예측모형 "사통팔달:윈도우즈"의 개발 (Development of a Transportation Demand Analysis Model ${\ulcorner}$AllWayS-Windows Version${\lrcorner}$)

  • 심대영;조중래;김동효
    • 대한교통학회지
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    • 제22권2호
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    • pp.19-26
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    • 2004
  • 사통팔달(AWS:AllWayS)은 교통계획의 중요성이 날로 부각되는 추세에서 네트워크 편집 및 데이터베이스 분석 기능을 갖춘 국내에서 최초로 개발된 종합적인 교통수요 예측모형이다. 과거에 일부 개별적인 모형의 수행을 위해 개별 기능의 수행을 위한 수요예측모형들이 국내에서 개발되어 사용되어온 바 있으나, 사통팔달 모형은 과거동안 축적된 교통계획 및 전산기술에 대한 이론적, 경험적 성과들을 바탕으로 국내 실정에 적합한 전통적인 4단계 수요예측과정에 대해 전체적으로 수행이 가능하도록 체계화함으로써 기존 외국의 교통계획모형들이 비판없이 사용되고 있는 국내 현실에서 본 모형의 유용성이 있다고 사료된다. 아울러 교통수요 예측을 위해 필요한 가로, 대중교통 등의 교통 네트워크 자료의 작성 기능을 모형의 내에서 갖추고 있으며 모형의 수행에 필요한 모든 자료들을 데이터베이스화함으로 대상 분석 시나리오에 대해 종합적이고 일관적인 수요예측 과정을 수행할 수 있도록 모형을 개발하였다.

MnO2의 전자상태 및 화학결합에 미치는 천이금속 첨가의 효과 (Effect of Transition Metal Dopant on Electronic State and Chemical Bonding of MnO2)

  • 이동윤;김봉서;송재성;김양수
    • 한국전기전자재료학회논문지
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    • 제17권7호
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    • pp.691-696
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    • 2004
  • The electronic state and chemical bonding of $\beta$-MnO$_2$ with transition metal dopants were theoretically investigated by DV-X$_{\alpha}$ (the discrete variational X$_{\alpha}$) method, which is a sort of the first principles molecular orbital method using the Hartree-Fock-Slater approximation. The calculations were performed with a $_Mn_{14}$ MO$_{56}$ )$^{-52}$ (M = transition metals) cluster model. The electron energy level, the density of states (DOS), the overlap population, the charge density distribution, and the net charges, were calculated. The energy level diagram of MnO$_2$ shows the different band structure and electron occupancy between the up spin states and down spin states. The dopant levels decrease between the conduction band and the valence band with the increase of the atomic number of dopants. The covalency of chemical bonding was shown to increase and ionicity decreased in increasing the atomic number of dopants. Calculated results were discussed on the basis of the interaction between transition metal 3d and oxygen 2p orbital. In conclusion it is expected that when the transition metals are added to MnO$_2$ the band gap decreases and the electronic conductivity increases with the increase of the atomic number of dopants. the atomic number of dopants.

A novel radioactive particle tracking algorithm based on deep rectifier neural network

  • Dam, Roos Sophia de Freitas;dos Santos, Marcelo Carvalho;do Desterro, Filipe Santana Moreira;Salgado, William Luna;Schirru, Roberto;Salgado, Cesar Marques
    • Nuclear Engineering and Technology
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    • 제53권7호
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    • pp.2334-2340
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    • 2021
  • Radioactive particle tracking (RPT) is a minimally invasive nuclear technique that tracks a radioactive particle inside a volume of interest by means of a mathematical location algorithm. During the past decades, many algorithms have been developed including ones based on artificial intelligence techniques. In this study, RPT technique is applied in a simulated test section that employs a simplified mixer filled with concrete, six scintillator detectors and a137Cs radioactive particle emitting gamma rays of 662 keV. The test section was developed using MCNPX code, which is a mathematical code based on Monte Carlo simulation, and 3516 different radioactive particle positions (x,y,z) were simulated. Novelty of this paper is the use of a location algorithm based on a deep learning model, more specifically a 6-layers deep rectifier neural network (DRNN), in which hyperparameters were defined using a Bayesian optimization method. DRNN is a type of deep feedforward neural network that substitutes the usual sigmoid based activation functions, traditionally used in vanilla Multilayer Perceptron Networks, for rectified activation functions. Results show the great accuracy of the DRNN in a RPT tracking system. Root mean squared error for x, y and coordinates of the radioactive particle is, respectively, 0.03064, 0.02523 and 0.07653.

Validation and comparison of volume measurements using 1 multidetector computed tomography and 5 cone-beam computed tomography protocols: An in vitro study

  • Juliana Andrea Correa, Travessas;Alessandra Mendonca, dos Santos;Rodrigo Pagliarini, Buligon;Nadia Assein, Arus;Priscila Fernanda Tiecher, da Silveira;Heraldo Luis Dias, da Silveira;Mariana Boessio, Vizzotto
    • Imaging Science in Dentistry
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    • 제52권4호
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    • pp.399-408
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    • 2022
  • Purpose: The purpose of this study was to compare volume measurements obtained using 2 image software packages on Digital Imaging and Communications in Medicine (DICOM) images acquired from 1 multidetector computed tomography and 5 cone-beam computed tomography devices, using different protocols for physical volume measurements. Materials and Methods: Four pieces of bovine leg were prepared. Marrow was removed from 3 pieces, leaving cortical bone exposed. The resulting space of 1 piece was filled with water, another was filled with propylene glycol, and the third was left unfilled. The marrow in the fourth sample was left fully intact. Volume measurements were obtained after importing DICOM images into the Dolphin Imaging 11.95 and ITK-SNAP software programs. Data were analyzed using 3-way analysis of variance with a generalized linear model to determine the effects of voxel size, software, and content on percentage mean volume differences between tomographic protocols. A significance level of 0.05 was used. Results: The intraclass correlation coefficients for intraobserver and interobserver reliability were, respectively, 0.915 and 0.764 for the Dolphin software and 0.894 and 0.766 for the ITK-SNAP software. Three sources of statistically significant variation were identified: the interaction between software and content (P=0.001), the main effect of content (P=0.014), and the main effect of software (P=0.001). Voxel size was not associated with statistically significant differences in volume measurements. Conclusion: Both content and software influenced the accuracy of volume measurements, especially when the content had gray values similar to those of the adjacent tissues.

A Digital Forensic Framework Design for Joined Heterogeneous Cloud Computing Environment

  • Zayyanu Umar;Deborah U. Ebem;Francis S. Bakpo;Modesta Ezema
    • International Journal of Computer Science & Network Security
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    • 제24권6호
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    • pp.207-215
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    • 2024
  • Cloud computing is now used by most companies, business centres and academic institutions to embrace new computer technology. Cloud Service Providers (CSPs) are limited to certain services, missing some of the assets requested by their customers, it means that different clouds need to interconnect to share resources and interoperate between them. The clouds may be interconnected in different characteristics and systems, and the network may be vulnerable to volatility or interference. While information technology and cloud computing are also advancing to accommodate the growing worldwide application, criminals use cyberspace to perform cybercrimes. Cloud services deployment is becoming highly prone to threats and intrusions. The unauthorised access or destruction of records yields significant catastrophic losses to organisations or agencies. Human intervention and Physical devices are not enough for protection and monitoring of cloud services; therefore, there is a need for more efficient design for cyber defence that is adaptable, flexible, robust and able to detect dangerous cybercrime such as a Denial of Service (DOS) and Distributed Denial of Service (DDOS) in heterogeneous cloud computing platforms and make essential real-time decisions for forensic investigation. This paper aims to develop a framework for digital forensic for the detection of cybercrime in a joined heterogeneous cloud setup. We developed a Digital Forensics model in this paper that can function in heterogeneous joint clouds. We used Unified Modeling Language (UML) specifically activity diagram in designing the proposed framework, then for deployment, we used an architectural modelling system in developing a framework. We developed an activity diagram that can accommodate the variability and complexities of the clouds when handling inter-cloud resources.

Flavonoids Modulate the Proliferation of Neospora caninum in Glial Cell Primary Cultures

  • Matos, Rosan Barbosa De;Braga-de-Souza, Suzana;Pitanga, Bruno Pena Seara;Silva, Victor Diogenes Amaral Da;Jesus, Erica Etelvina Viana De;Pinheiro, Alexandre Morales;Costa, Maria De Fatima Dias;El-Bacha, Ramon Dos Santos;Ribeiro, Catia Suse De Oliveira;Costa, Silvia Lima
    • Parasites, Hosts and Diseases
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    • 제52권6호
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    • pp.613-619
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    • 2014
  • Neospora caninum (Apicomplexa; Sarcocystidae) is a protozoan that causes abortion in cattle, horses, sheep, and dogs as well as neurological and dermatological diseases in dogs. In the central nervous system of dogs infected with N. caninum, cysts were detected that exhibited gliosis and meningitis. Flavonoids are polyphenolic compounds that exhibit antibacterial, antiparasitic, antifungal, and antiviral properties. In this study, we investigated the effects of flavonoids in a well-established in vitro model of N. caninum infection in glial cell cultures. Glial cells were treated individually with 10 different flavonoids, and a subset of cultures was also infected with the NC-1 strain of N. caninum. All of the flavonoids tested induced an increase in the metabolism of glial cells and many of them increased nitrite levels in cultures infected with NC-1 compared to controls and uninfected cultures. Among the flavonoids tested, 3',4'-dihydroxyflavone, 3',4',5,7-tetrahydroxyflavone (luteolin), and 3,3',4',5,6-pentahydroxyflavone (quercetin), also inhibited parasitophorous vacuole formation. Taken together, our findings show that flavonoids modulate glial cell responses, increase NO secretion, and interfere with N. caninum infection and proliferation.

Methodologies for the Determination of Endogenous Phosphorus Losses in Growing Pigs

  • Alves, Debora Aline;da Rocha, Leonardo Tombesi;dos Santos Camargo, Claudiele Aparecida;Figueiredo, Andriele Medianeira;Ceron, Marcos Speroni;Lucca, Walter;Zanella, Irineo;de Oliveira, Vladimir
    • Asian-Australasian Journal of Animal Sciences
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    • 제29권11호
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    • pp.1632-1638
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    • 2016
  • A study was conducted to compare the endogenous basal losses of phosphorus (EBLP) in pigs fed diets containing gelatin (GEL) or spray-dried porcine plasma (SDPP) as protein sources and to determine the standardized total tract digestibility (STTD) of phosphorus (P) in SDPP. The trial was carried out at the Federal University of Santa Maria, Brazil. Twelve castrated pigs with an initial body weight of 55 kg were individually allotted in metabolic crates during two 12-day periods, each with 7 days of adaptation and 5 days of total fecal collection. The beginning and the end of the collecting periods were determined according to the marker-to-marker approach, using ferric oxide as an indigestible marker. Pigs were submitted to four semi-purified diets, one being a P-free diet with 30% of GEL as the protein source and three were diets with 10%, 20%, and 30% inclusion of SDPP respectively. Data were subjected to analysis of variance and the model included the effects of period, animal and treatments; the results of the three diets with increased levels of SDPP were subjected to linear regression analysis. The intercept of the relation of between ingested P and absorbed P represented the EBLP, while the slope indicated the STTD of P in SDPP. The EBLP means obtained by P-free diet and regression method were compared with the Student t test. The EBLP were 128.95 mg/kg dry matter intake (DMI) and 153.63 mg/kg DMI (standard error = 77.0; p<0.06) using the P-free diet with GEL as the protein source and the regression method, obtained with diets containing increased levels of SDPP, respectively. The apparent digestibility of P was 87.9%, 94.2%, and 92.9% for the treatments containing 10%, 20%, and 30% inclusion of SDPP, respectively. The estimated STTD of P obtained with the linear regression was 97.4%. When the EBLP estimated by the P-free diet was used to corrected the apparent digestibility of P in diets containing SDPP, the STTD of P in SDPP was 96.9%, 98.8%, and 95.9% for 10%, 20%, and 30% SDPP, respectively. Therefore, it can be concluded that SDPP can replace GEL to estimate the endogenous losses of P. In addition, the STTD of P in SDPP estimated with the P-free diet was 97.2% and it was 97.4% by the regression method, utilizing SDPP.

국내산 계면활성제를 이용한 오일회수증진용 알칼리-계면활성제-폴리머용액의 제조 및 특성평가 (Preparation and Characterization of Domestic Alkali-Surfactant-Polymer Solution for Enhanced Oil Recovery)

  • 이상헌;김상겸;박지윤;이도균;황순철;배위섭;김인원;이영우
    • 청정기술
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    • 제19권4호
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    • pp.481-486
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    • 2013
  • 국내산 계면활성제를 이용하여 오일회수증진용 알칼리-계면활성제-폴리머(alkali-surfactant-polymer, ASP)용액을 제조하였다. 계면활성제는 현재 애경에서 사용되고 판매되어지는 리니어알킬벤젠술폰산(linear alkylbenzene sulfonic acid, LAS)과 디옥틸설포석신나트륨(dioctyl sulfosiuccinate, DOSS)을 사용하였으며 LAS와 DOSS를 1:1, 2:1의 비율로 섞어 합성계면활성제를 제조하였다. 염도는 0.8 wt.%에서 3.6 wt.%까지 변화시킨 뒤 계면활성제 용액과 오일모사로 쓰인 데칸(decane)을 섞어서 마이크로에멀젼 형성을 알아보았다. 염도가 변하면서 마이크로에멀젼 층은 증류수에서 오일로 이동하였으며 최적의 염도일 때 가용화 값을 측정하였다. 또한 표면장력 측정기를 이용하여 표면장력을 측정하였으며 Huh 방정식을 이용하여 계면장력을 측정하였다. 이후에 각각의 계면활성제 비율에 대한 마이크로에멀젼의 특성을 비교하였다.