Dynamic Evaluation Model Research Articles

Dynamic Analysis of Dam-Break Loss Based on Unascertainty Theory

As the Water-retaining Structure of reservoir, Earth-Rock Dam was widely used because of a wide accommodation, local material and rapid construction speed .There are 86 thousand dams having been built in our country, 90% of which are earth-rockfill dams. However, the aging and disease of earth-rockfill dams are becoming more and more serious. As time goes by, its security problem gets more and more attention. The risk management of dam is a kind of new concept of safety management which is brought in from abroad. One of the most prominent characteristics is that it is conscious both of its own safety and the effect of downstream, which effectively overcomes the deficiency of today's management mode, and it has practical significance to improve earth-rockfill dams management level , ensuring construction and public safety. The study gives the analysis of the economic developments effect on the dam-break loss, and establishes the dynamic predication evaluation model based on uncertainty theory. The model can effectively reflect the time variant characteristics of dam-break loss, which provides new attempt to dynamic predication of dam-break loss.

A Driver Model for Dynamic Evaluation of the EPS Assistant Characteristics

A Driver Model for Dynamic Evaluation of the EPS Assistant Characteristics

Dynamic Software Testing and Evaluation With State Space Method

Abstract Dynamic software testing and evaluation are important software engineering subjects and can be used to improve reliability. In this paper, we propose a dynamic software testing and evaluation model based on the state space method. In this model, the run time features of software are quantified into one state vector; the program scale, difficulties, structures, and development expenses are quantified into one input vector; the total software complexity is quantified into one output vector; and the software testing and evaluation process is regarded as a feedback control process. Dynamic software testing and evaluation with the state space method can adaptively regulate the critical factors that drastically affect software reliability. Experimental results show that the proposed method is useful for reducing costs, shortening developing time, and improving reliability.

Turix, a dynamic mechanistic model for feed evaluation

The objective of this study was to use the Turix model (a new mechanistic dynamic model that can be used for feed evaluation under tropical conditions), along with in situ and in vitro sugar cane experimental data from a previous study, to evaluate sugar cane kinetics through estimation of three parameters associated with ruminal bacterial growth: kM,SmL, the substrate uptake; kLM, the bacterial growth from intermediate metabolite; and Y VFAP,FS, the products related to volatile fatty acid yield. Values of these parameters for the whole sugar cane and its neutral detergent fiber (NDF) and acid detergent fiber (ADF) fractions were: a) kM, SmL, 16.20, 50.47 and 21.97 mL h-1 (mg M)-1 ; b) kLM, 96.00, 543.00 and 1,680.00 h-1 ; and, 1.02, 0.40 and 0.23 g g-1 , respectively. Results from the model adjustment showed a slow microbial substrate uptake c) Y VFAP, FS and a low biomass yield for whole sugar cane. The highest substrate uptake was obtained for NDF, while the highest biomass yield was obtained for ADF. The interrelation between the parameters kM, SmL showed to be important for biological and Y VFAP, FS description of microorganism growth and VFAP and biomass production.

A Dynamic Comprehensive Evaluation Model Based on the Niche Theory

The paper conducts a research on dynamic comprehensive evaluation model from a view of syncretizing the state and the trend of evaluated objects based on the niche theory. The approach adopted in the paper is a quantitative technique based on use of mathematical modeling; the state evaluation is used for describing development state of evaluated objects from a view of integral, while the trend evaluation is used for describing development trend from a view of considering change speed of evaluated objects. On this basis, a dynamic comprehensive evaluation model is constructed, in which the state and the trend of evaluated objects are syncretized. Finally, a calculation example is pulled into to illustrate the feasibility and availability of dynamic comprehensive evaluation model from the empirical perspective.

Dynamic Evaluation Model of Networked Manufacturing Resources Based on Grey Target Decision

Dynamic Evaluation Model of Networked Manufacturing Resources Based on Grey Target Decision

A METRIC-BASED EVALUATION MODEL FOR APPLICATIONS ON MOBILE PHONES

A number of methods and measures have been used by researchers in software evaluation. Usability metrics is one of the approaches that has been used as a guideline to evaluate the quality of the system in many mobile applications. However, the metrics used for evaluation method keep changing due to new inventions of mobile phones. Thus, there is a need to create a dynamic model for evaluation that can grow together with new inventions and technology. In this paper, a dynamic usability metrics model for evaluation of mobile applications was designed. The model comprises usability goals, questions and metrics for evaluation of applications on mobile phones. To ensure that the model is reliable and effective, a usability study was conducted on two applications installed in different mobile phones. This model proves to be applicable for evaluation of mobile phone applications whereby its questions and metrics can be dynamically changed accordingly to comply with the requirements of the evaluators.

Human Papillomavirus Vaccines for Cervical Cancer Prevention: Translating Possibility Into Reality

Human Papillomavirus Vaccines for Cervical Cancer Prevention: Translating Possibility Into Reality

Dynamic priority evaluation model for IS adoption in construction management

The process of determining the order of Information Systems (IS) adoption in construction management processes, which are highly interrelated with one another, is generically dynamic because the IS adoption in one management process affects the other management processes, consequently changing the order of IS adoption throughout the entire process. In this paper, we discuss the Dynamic Priority Evaluation Model (DPEM). A priority evaluation criterion in DPEM is the expected IS benefits, which is represented by the efficiency increase of management processes through the IS adoption. The efficiency increase is determined as the most fundamental IS benefit through a survey. The prediction of the efficiency increase is based on four factors, namely the structurization level, beneficiary level, information utilization level, and information gain easiness level. These factors are verified through a case study. In addition to considering these four factors, the strategic importance of each management process and the relative importance of the four factors are incorporated into the calculation of the efficiency increase. Finally, the DPEM is expressed in a mathematical and process form to reflect the condition of the precedent IS adoption. Through another case study, the validity of the proposed DPEM method is verified for prioritizing the construction management processes for IS adoption based on the expected IS benefits. Ed: highlight — while the original is acceptable, the edited version is more fluent and legible. Further, DPEM is capable of considering more information than the experts are able to consider.

A New Evaluation Method Based on Dynamic Incentive Model and Its Application in Operation Performance Evaluation of Listed Companies

Previous studies of operating performance of listed companies usually adopt static comprehensive evaluation method but not dynamic evaluation method. Besides, the evaluation information is aggregated in a simple weighted method, without integration of management tool. Considering these two deficiencies, this paper puts forward a dynamic incentive evaluation model and applies it in the comprehensive evaluation of the operating performance of listed companies. The paper first introduces dynamic incentive evaluation model, and then carries out an empirical study, using the annual reports data (2005-2009) of 13 refrigeration and air-conditioning industry listed companies. The results indicate that, compared with the evaluation results of traditional static method and dynamic method, the evaluation results of dynamic incentive model can reflect the operating performance of listed companies more objectively and comprehensively. Thus this model achieves good evaluation effect and has practical value.

Composite Evaluation Model Analysis to Eco-Carrying Capacity of High-Density Residence Communities

This paper built a dynamic evaluation model of eco-carrying capacity of high-density residence communities by using state space representation and GPCA, and made an analysis of the model on dynamics vision,which enriched the content of residential ecological research and offered method for researches about eco-carrying capacity of residence communities.

A dynamic evaluation model of university leading cadre based on multivariate delay connection number

PurposeSince the present university leading cadre capability evaluations are mainly static, there is a lack of evaluation methods to address dynamic and multi‐scale‐based situations. Some important factors to address people's performances, such as the developing trends and potentialities are considered. The purpose of this paper is to attempt to propose a dynamic evaluation model based on multivariate delay connection number.Design/methodology/approachFirst, evaluation results of previous periods are taken into the current period and values of uncertain numbers are revised. Next, a dynamic evaluation model is built for university leading cadre. Last, a numerical example is used to prove its feasibility and effectiveness.FindingsThis paper promotes a corrected equal portion value method of uncertain numbers i1(τ), … ,in(τ) from the adjacent two periods to multi periods, and builds a dynamic evaluation model, which proved simple‐structured and easy to apply.Practical implicationsThe new model is applied in the evaluation of university leading cadre, and could give a more comprehensive, dynamic, scientific analysis for evaluation by model application.Originality/valueThe paper develops a novel evaluation model based on a multivariate delay connection number, which expands traditional methods from a static situation to a dynamic and multi‐scale‐based situation.

Visualization and dynamic evaluation model of corporate financial structure with self-organizing map and support vector regression

Prediction of financial bankruptcy has been a focus of considerable attention among both practitioners and researchers. However, most research in this area has ignored the non-stationary nature of corporate financial structures. Specifically, financial structures do not always present consistent statistical tests at each point of time, resulting in dynamic relationships between financial structures and their predictors. This characteristic of financial bankruptcy presents a significant challenge for any single artificial prediction technique. Therefore, this paper will propose a multi-phased and dynamic evaluation model of the corporate financial structure integrating both the self-organizing map (SOM) and support vector regression (SVR) techniques. In the 1st phase, the inputs to the SOM are financial indicators derived from listed companies’ public financial statements adopting the principle component analysis (PCA) to extract useful indicators with a strong influence that each year determines the company's position on the SOM. In addition, we used the SOM to visualize and cluster each corporate in the 2D map. We also investigated each cluster and classified them into healthy and bankrupt-prone ones based on their regions in visualizing the 2D map. In the 2nd phase, we drew the trajectory for the healthy and the bankrupt-prone companies for consecutive years in a 2D map. Therefore, several visualized and dynamic patterns of corporate behavior could be recognized. In the 3rd phase, we used the SVR method to forecast the future trend for corporate financial structure. In addition, this research also compared the hybrid SOM–SVR architecture with single SOM, SVR, and Learning Vector Quantization (LVQ) algorithms. The results showed that the proposed methodology outperformed the other methods in both prediction accuracy and ease of use.

A New Approach of Trust Relationship Measurement Based on Graph Theory

The certainty trust relationship of network node behavior has been presented based on graph theory, and a measurement method of trusted-degree is proposed. Because of the uncertainty of trust relationship, this paper has put forward the random trusted-order and firstly introduces the construction of trust relations space (TRS) based on trusted order. Based on all those above, the paper describes new method and strategy which monitor and measure the node behavior on the expectancy behavior character for trusted compute of the node. According to manifestation of node behavior and historical information, adjust and predict the trusted-order of node behavior. The paper finally establishes dynamic trust evaluation model based node behavior characters, and then it discusses the trusted measurement method which measures the connection and hyperlink for node behavior of network in trust relationship space.

Airlift column photobioreactors for Porphyridium sp. culturing: Part II. verification of dynamic growth rate model for reactor performance evaluation

Dynamic growth rate model has been developed to quantify the impact of hydrodynamics on the growth of photosynthetic microorganisms and to predict the photobioreactor performance. Rigorous verification of such reactor models, however, is rare in the literature. In this part of work, verification of a dynamic growth rate model developed in Luo and Al-Dahhan (2004) [Biotech Bioeng 85(4): 382-393] was attempted using the experimental results reported in Part I of this work and results from literature. The irradiance distribution inside the studied reactor was also measured at different optical densities and successfully correlated by the Lambert-Beer Law. When reliable hydrodynamic data were used, the dynamic growth rate model successfully predicted the algae's growth rate obtained in the experiments in both low and high irradiance regime indicating the robustness of this model. The simulation results also indicate the hydrodynamics is significantly different between the real algae culturing system and an air-water system that signifies the importance in using reliable data input for the growth rate model.

Evaluation of academic influence of medical statistics source journals in Heilongjiang province during 2005 - 2009

Objective To evaluate the academic influence of medical statistics source journals in Heilongjiang province during 2005 - 2009. Methods evaluation data of Chinese Science and Technology Citation Reports(2006 - 2010 periodicals) as a statistical source, the 7 indexes(literature sources, total cites, impact factor, immediacy index, he cited rate, ratio of overseas papers, ratio of funded papers) of medical statistics source journals in Heilongjiang province during 2005 - 2009 were analyzed. Dynamic evaluation model was used to evaluate the academic influence of journals and compute impact assessment score(Ⅰ), relative impact assessment score(Ir), and rate of growth. Results There were 5 kinds of medical statistics source journals in Heilongjiang province during 2005 - 2009, they were Journal of Harbin Medical University, Chinese of Endemiology, Chinese of Critical Care Medicine, Chinese of Preventive Veterinary Medicine,Chinese of Traditional Medical Science and Technology, respectively. Year by year, the total cites,impact factor and ratio of funded papers of above mentioned journals showed increase trend, literature sources, he cited rate and ratio of overseas papers showed stable trend, immediacy index showed greater fluctuations. Ⅰ values of above periodicals were 32 279.79, 379 379.20, 251 240.26, 117 576.00, and 83 156.65, respectively. Ir value of above periodicals were 0.19, 2.20, 1.45, 0.68, and 0.48, respectively. The rates of growth of above periodicals were 0.41, - 0.07, 0.24, 1.04, and 0.87, respectively. Conclusions The development of medical statistics source journals in Heilongjiang province is in good condition, the academic influence is an overall upward trend. Key words: Journal; Academic influence; Outcome assessment

Dynamic Evaluation Model of Enterprise Informatization Level and its Application

The existing evaluation models of enterprise informatization level are mostly static evaluation model. And they can’t meet the need of dynamic evaluation of enterprise informatization level. According to the principle of priority information, this paper proposes a new method to determine time series weights based on matrix norm. By using the driving principle of the difference, this paper gives a determination of index weights. And based on time series weights and determination of index weights, the paper establishes a dynamic evaluation model of enterprise informatization level, and gives the calculation steps. Through the case study, this paper tests the validity of the model.

Coupling Trending Analysis about Urbanization and Urban Resource in Beijing

Abstract Based on knowing the mechanism of urbanization and urban resource coupling situation, this article constructs urbanization composite index and urban resources comprehensive index, and build Static and dynamic coupling coordination degree evaluation model, calculate and distinguish the two systems in coordination development and coupling situation of Beijing in the past 24 years. It turns out that the degree of coupling the earlier Beijing urbanization and urban resource systems is being strengthen, but overall is being and balanced. But from now then, the degree of coupling is more strengthened, with the lower coordination and unbalanced. So strengthening resource protection, coordinate organization and urban resources have become the center of future urban construction in Beijing.

A dynamic multi-dimensional trust evaluation model to enhance security of cloud computing environments

High security of cloud computing is one of the most challenges to be addressed before the novel pas-as-you-go business paradigm is widely applied over the internet. Trust brings a novel means to improve the security of cloud computing platforms. However, there are few systematic works on trust in cloud systems. In this paper, the definition of trust in cloud systems is given and the properties of trust are analysed by referring to the fruits from social science. Based on the properties and semantics of trust, a dynamic multi-dimensional trust model named DMTC is proposed, which includes a time-variant comprehensive evaluation multi-dimensional method for expressing direct trust and a space-variant evaluation multi-dimensional method for calculating recommendation trust. To compute trust in cloud systems, an algorithm based on the DMTC model is given. Experiment results show that the proposed model can dynamically and effectively construct the trust relationship in cloud computing environment.

Empirical Research on Dynamic Evaluation Model of Reservoir Environmental Capacity

Empirical Research on Dynamic Evaluation Model of Reservoir Environmental Capacity