A laboratory automotive air conditioning (AAC) system was set up and tested for the cases of employing refrigerants R134a and R1234yf. Two different empirical correlations were developed to predict the steady state pe...
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A laboratory automotive air conditioning (AAC) system was set up and tested for the cases of employing refrigerants R134a and R1234yf. Two different empirical correlations were developed to predict the steady state performance parameters of the AAC system based on some experimental data. The air stream temperatures entering the evaporator and condenser and the relative humidity of the air stream at the evaporator inlet were selected as the input parameters of the proposed correlations, while the output parameters were the cooling capacity, power absorbed by the refrigerant in the compressor, condenser heat rejection rate, coefficient of performance, conditioned air temperature, compressor discharge temperature and the rate of total exergy destruction in the AAC system. Then, the predictions of these correlations were compared with the experimental results which were not used in developing the correlations. The findings suggest that both correlations can be used for accurately predicting the performance parameters of the AAC systems.
Molecular dynamics simulations have been extensively used to study phonons and gain insight,but direct comparisons to experimental data are often difficult,due to a lack of accurate empirical interatomic potentials fo...
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Molecular dynamics simulations have been extensively used to study phonons and gain insight,but direct comparisons to experimental data are often difficult,due to a lack of accurate empirical interatomic potentials for different *** a result,this issue has become a major barrier to realizing the promise associated with advanced atomistic-level modeling ***,we present a general method for specifically optimizing empirical interatomic potentials from ab initio inputs for the study of phonon transport properties,thereby resulting in phonon optimized *** method uses a genetic algorithm to directly fit the empirical parameters of the potential to the key properties that determine whether or not the atomic level dynamics and most notably the phonon transport are described properly.
The complexity of Business Intelligence activities has driven the proposal of several approaches for the effective modeling of Extract-Transform-Load (ETL) processes, based on the conceptual abstraction of their opera...
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The complexity of Business Intelligence activities has driven the proposal of several approaches for the effective modeling of Extract-Transform-Load (ETL) processes, based on the conceptual abstraction of their operations. Apart from fostering automation and maintainability, such modeling also provides the building blocks to identify and represent frequently recurring patterns. Despite some existing work on classifying ETL components and functionality archetypes, the issue of systematically mining such patterns and their connection to quality attributes such as performance has not yet been addressed. In this work, we propose a methodology for the identification of ETL structural patterns. We logically model the ETL workflows using labeled graphs and employ graph algorithms to identify candidate patterns and to recognize them on different workflows. We showcase our approach through a use case that is applied on implemented ETL processes from the TPC-DI specification and we present mined ETL patterns. Decomposing ETL processes to identified patterns, our approach provides a stepping stone for the automatic translation of ETL logical models to their conceptual representation and to generate fine-grained cost models at the granularity level of patterns.
This study investigates the feasibility and presents an assessment of probabilistic rainy season onset forecasts for Sao Paulo, Brazil, located in a region with a well-defined wet season from mid-austral spring (Octob...
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This study investigates the feasibility and presents an assessment of probabilistic rainy season onset forecasts for Sao Paulo, Brazil, located in a region with a well-defined wet season from mid-austral spring (October) to austral autumn (March/April). The probabilistic forecasts were produced with (1) a simple empirical Cox-regression model using July Nino-3 index as predictor, (2) the dynamical coupled atmosphere-land-surface-ocean-sea-ice model used in the UK Met Office Global Seasonal Forecast System (GloSea5) and (3) a procedure that combines the empirical and dynamical model onset probabilistic forecasts. The probabilistic forecast assessment was performed over the 1996-2009 retrospective forecast period for the event rainy season onset earlier (or later) than the historical (mean) onset date. The three investigated approaches resulted in similar discrimination ability of around 80%, which represents the probability of the probabilistic forecasts correctly distinguishing earlier from a later than mean onsets, suggesting good potential for rainy season onset forecasts for Sao Paulo. The robustness of this assessment for an extended period (longer than 1996-2009) and for a region (20 degrees S, 25 degrees S, 45 degrees W, 55 degrees W) that includes the city of Sao Paulo was checked, reinforcing the validity of the obtained results at both local and regional scales.
Promoting the transformation of scientific and technological achievements of universities and colleges in Beijing, Tianjin, and Hebei is an important measure to enhance the level of scientific and technological develo...
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Promoting the transformation of scientific and technological achievements of universities and colleges in Beijing, Tianjin, and Hebei is an important measure to enhance the level of scientific and technological development in universities, enhance the scientific and technological synergy of Beijing-Tianjiii-Hebei urban agglomeration, practice the coordinated development strategy of Beijing, Tianjin and Hebei, and promote the construction of Xiong'an New District. Based on the scientific and technological input of colleges and universities, the development of science and technology and the output of science and technology, this paper uses Delphi and AHP to construct a Beijing, Tianjin, Hebei University Science and Technology Achievement Transformation Performance Evaluation System from the perspectives of transformation potentials, scientific research activities and achievements transformation of university scientific and technological achievements. An empirical analysis was carried out to provide reference for the government's efficient decision-making and improvement of strategies for transforming scientific and technological achievements in universities.
Last 2016, Typhoon Nina with the international name NOCK-TEN made landfall over Lubang Island. Damage to both infrastructure and agriculture reached ₱6.2 billion as reported by the National Disaster Risk Reduction and...
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Last 2016, Typhoon Nina with the international name NOCK-TEN made landfall over Lubang Island. Damage to both infrastructure and agriculture reached ₱6.2 billion as reported by the National Disaster Risk Reduction and Management Council (NDRRMC). Among the infrastructure, an estimated damage of ₱1.1 billion was attributed to the education sector. Damage to non-structural components such as furniture, learning materials, and computer units were estimated to reach at least ₱34.8 million. Aside from functioning as educational facilities, school buildings also serve as evacuation shelters for post disaster recovery operations. Hence strengthening of these structures are of high importance. The Department of Education Bicol Region reported that around 625 schools were totally damaged, 1,082 schools were partially damaged and needed major repairs, and 988 schools needed minor repairs. Most of the damage were observed at the roof coverings, roof frames, wall openings and the walls. Hence these comprise the building components where the damage will be quantified. Field surveys were conducted through region IV and V of the southern part of Luzon, Philippines. From the field survey, damage of every building component are quantified as the percentage of damaged elements to the total number of units of the corresponding building component comprising one building. Each percent damage to building component is converted to an equivalent ratio of the repair cost to the total building construction cost, defined as the damage ratio. Each damage ratio is plotted against the corresponding maximum local wind speed, forming the empirical vulnerability curves. The wind speed data was retrieved from an open source wind speed data map provided by Professor Mark Saunders from the University College of London. Vulnerability curves were curve-fitted using a cumulative lognormal distribution for wind speeds ranging from 96 – 242kph (26 – 68mps). Results can then be used by the local government
Multi-agent systems (MAS) literature often assumes decentralized MAS to be especially suited for dynamic and large scale problems. In operational research, however, the prevailing paradigm is the use of centralized al...
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Multi-agent systems (MAS) literature often assumes decentralized MAS to be especially suited for dynamic and large scale problems. In operational research, however, the prevailing paradigm is the use of centralized algorithms. Present paper empirically evaluates whether a multi-agent system can outperform a centralized algorithm in dynamic and large scale logistics problems. This evaluation is novel in three aspects: (1) to ensure fairness both implementations are subject to the same constraints with respect to hardware resources and software limitations, (2) the implementations are systematically evaluated with varying problem properties, and (3) all code is open source, facilitating reproduction and extension of the experiments. Existing work lacks a systematic evaluation of centralized versus decentralized paradigms due to the absence of a real-time logistics simulator with support for both paradigms and a dataset of problem instances with varying properties. We extended an existing logistics simulator to be able to perform real-time experiments and we use a recent dataset of dynamic pickup-and-delivery problem with time windows instances with varying levels of dynamism, urgency, and scale. The OptaPlanner constraint satisfaction solver is used in a centralized way to compute a global schedule and used as part of a decentralized MAS based on the dynamic contract-net protocol (DynCNET) algorithm. The experiments show that the DynCNET MAS finds solutions with a relatively lower operating cost when a problem has all following three properties: medium to high dynamism, high urgency, and medium to large scale. In these circumstances, the centralized algorithm finds solutions with an average cost of 112.3% of the solutions found by the MAS. However, averaged over all scenario types, the average cost of the centralized algorithm is 94.2%. The results indicate that the MAS performs best on very urgent problems that are medium to large scale.
The pivotal aim of this study is to evaluate the rock mass characterization and deformation modulus. It is vital for rock mass classification to investigate important parameters of discontinuities. Therefore, Rock Mas...
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The pivotal aim of this study is to evaluate the rock mass characterization and deformation modulus. It is vital for rock mass classification to investigate important parameters of discontinuities. Therefore, Rock Mass Rating (RMR) and Tunneling quality index (Q) classification systems are applied to analyze 22 segments along proposed tunnel routes for hydropower in Kandiah valley, Khyber Pakhtunkhwa, Pakistan. RMR revealed the range of fair to good quality rocks, whereas Q yielded poor to fair quality rocks for investigated segments of the rock mass. Besides, Em values were acquired by empirical equations and computer-aided program RocLab, and both methods presented almost similar variation trend of their results. Hence, the correlations of Em with Q and RMR were carried out with higher values of the regression coefficient. This study has scientific significance to initially understand the rock mass conditions of Kandiah valley.
For social workers who are interested in research associated with validating methodology for the amelioration of human problems,or the mastery of intervention models,used in direct practice;definitive consensus,on gui...
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For social workers who are interested in research associated with validating methodology for the amelioration of human problems,or the mastery of intervention models,used in direct practice;definitive consensus,on guidelines,remains *** has been written in recent years about the necessity of the profession to be guided by either empirical research,which has validated specific interventions,or by the theory,heuristic rules,and the decision‐making schema of experienced *** debate is not simply limited to clinical practice issues,or factions defending or refuting,a particular theoretical *** one hand,social research has in recent years,invalidated some long held practice models,and has modified our understanding of core social ***,social research is an often difficult and arduous pursuit,which may require some time to make thorough evaluation,as compared to the immediacy of emerging social *** transmission of scholarly research findings takes time and considerable effort to disseminate and gain understanding and acceptance within the practice community even when well *** the other hand,practitioners serve as the wellspring of observations,which are often translated into models or theory,and frequently become the subject matter of empirical ***,few in the practice community are encouraged or committed,to systematically review research findings so as to modify practice approaches,which have not been well validated by recent research findings.
Maximum Entropy empirical Likelihood (MEEL) methods are extended to bivariate distributions with closed form expressions for their bivariate Laplace transforms (BLT) or moment generating functions (BMGF) without close...
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Maximum Entropy empirical Likelihood (MEEL) methods are extended to bivariate distributions with closed form expressions for their bivariate Laplace transforms (BLT) or moment generating functions (BMGF) without closed form expressions for their bivariate density functions which make the implementation of the likelihood methods difficult. These distributions are often encountered in joint modeling in actuarial science and finance. Moment conditions to implement MEEL methods are given and a bivariate Laplace transform power mixture (BLTPM) is also introduced, the new operator generalizes the existing univariate one in the literature. Many new bivariate distributions including infinitely divisible(ID) distributions with closed form expressions for their BLT can be created using this operator and MEEL methods can also be applied to these bivariate distributions.
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