model-based evaluation environment

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Using Kirkpatrick’s Evaluation Model in a Multimedia-based Blended Learning Environment

Using Kirkpatrick’s Evaluation Model in a Multimedia-based Blended Learning Environment

Over the years, there has been much research in blended learning. However, research regarding its use and evaluation is inconsistent, not following any specific evaluation method, and may not be applicable to local students. In this research, a case study was conducted to evaluate the environment based on three levels of Kirkpatrick’s model. Methodological triangulation was the principle of data collection used in which multiple sources of evidence were triangulated to provide insights into this study. Instruments used include surveys, interviews, questionnaires and pre- and post-tests that are guided by Kirkpatrick’s model. The results revealed that students were positive with the learning environment. Students enjoyed learning with multimedia and motivated to learn as well as engaged in the environment. The tests showed significant difference in their learning. Students also perceived that they have transferred their learning from face-to-face lecture into problem-based learning and learning outcome. This research contributes to the field by providing deeper insights into assessments in multimedia-based blended learning environment and empirical evidence on views, attitudes, learning and knowledge transfer of students in higher education.
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Life Cycle Assessment based method of Excessive  Commodity Packaging on Energy Conservation and  Emissions Reduction

Life Cycle Assessment based method of Excessive Commodity Packaging on Energy Conservation and Emissions Reduction

Nowadays, with the continuous development of the economy, people's living standards is gradually improving. Excessive packaging has become a serious social economic phenomenon. At present, there are lots of researches about the environmental impact of commodity packaging, and the typical model of LCA can be found in [1-3]. But in most researches, only the simplified mathematical models were used which can lead to subjectivity, striking differences in assessment and limited use as a role of guiding the practice. Based on a Life Cycle Assessment model, the effect of the whole life cycle of excessive commodity packaging on the environment was analyzed from production through circulation. The cost evaluation system and environment impact model of its three main processes, that is, material production, product machining and waste management, was established to identify the main environmental impact corresponding indicators and the influence on energy conservation and emissions reduction of excessive packaging life cycle.
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Trust evaluation model with entropy based weight assignment for malicious node’s detection in wireless sensor networks

Trust evaluation model with entropy based weight assignment for malicious node’s detection in wireless sensor networks

been regarded as an effective complementary mechan- ism to ensure the security of sensor networks. Based on historical behavior, the trust value of a node can be eval- uated to estimate the reliability based on the perform- ance of specific tasks. At present, many typical trust models have been proposed for WSNs, which derives from game theory [6], Bayesian estimation [7], D-S evi- dence [8], fuzzy logic [9], etc. The above models all iden- tify malicious nodes through trust evaluation to a certain extent and provide a theoretical basis for further re- search. Under the open network environment, the trust between sensor nodes will vary dynamically with time and behavior The trust value obtained by the trust model should also change with the communication be- havior between nodes, thus effectively restrain the ab- normal increase or decrease of trust value and resist the influence of flattery or slander between nodes. How to define the trust relationship in the model as well as im- prove the efficiency of the model implementation be- comes an important issue.
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A risk evaluation model for channel navigation based on the gray fuzzy theory

A risk evaluation model for channel navigation based on the gray fuzzy theory

Determining the weight of risk evaluation of channel navigation is an important process for evaluating the research object. At the same time, whether the weight determined is reasonable has a direct impact on the accuracy of the final evaluation results. Many scholars have studied calculation methods of index weights from both subjective and objective perspectives. After refer- ring to related literature and comparatively analyzing weight calculation methods, two commonly used methods at present are AHP and entropy weight. Of which, AHP mainly calculates the index weight of evalu- ation with human’s subjective experience, while the en- tropy weight calculates the index weight of evaluation through correlation analysis of data. It is difficult to ob- tain accurate index weights via using traditional weight calculation methods due to the complexity of channel navigation environment. Hence, a method of set-valued statistics is adopted in this paper to determine index weights. The method of set-valued statistics is a fuzzy interval instead of a definite value in the classical statis- tics, which can accurately reflect experts ’ scoring criteria and increase the credibility of evaluation results. There- fore, the set-valued statistics is adopted in this paper to determine the weight of each index of evaluation.
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Reliability Evaluation Model of Embedded System Based on Machine Learning Method

Reliability Evaluation Model of Embedded System Based on Machine Learning Method

adaptation to reach satisfactory, literature [13] describes the non-parametric artificial neural networks and other learning methods improved evaluation model of reliability based on the results, and put forward a dynamic weight before based on the feedback of multilayer learning network. In order to adapt to the complex changes of the future environment, the paper [14] uses Bayesian rules to optimize the dynamic neural network, and constructs a reliability evaluation model for solving the complex environment of large data.
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Beyond PBL: preparing graduates for professional practice

Beyond PBL: preparing graduates for professional practice

An analysis of practitioner studies concludes that a gap exists between industry expectations of IT graduates and formal education, in particular in non-technical skills and knowledge. This paper reports on the final cycle of an Action Research project to examine and implement alternative learning environments for Software Engineering. A model based on reflective practice, founded on the evaluation of previous cycles applying Cognitive Apprenticeship and Problem-based Learning, was developed and implemented. This study looked at the alignment between student approaches to learning and the environment developed, in particular student disposition towards deep or surface learning. Although evaluation shows the student cohort achieved significantly higher scores in their assessment that those of previous offerings, it was notable that students who reported themselves as adopting surface approaches were less comfortable with the environment. However, they still exhibited deep learning characteristics when observed in a subsequent course.
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Evaluation of network service model based on network convergence

Evaluation of network service model based on network convergence

As seen from the Table 14, we get that in the environ- ment with high frequency of change, the value proposition negatively relates to the CA, while value creation, value transfer, and the interface rule positively relate to the CA. In the environment with low frequency of change, the value proposition, value creation, and interface rule posi- tively relate to the CA, while the value transfer negatively relates to the CA, but the value transfer did not pass the significance test ( p ≤ 0.05). Meanwhile, with the technical changing degree changes from a low level to a high level, the relation degree of the service model and the enter- prise’s competitive advantage increases, indicating that the fiercer the competition degree, the influence of the service Table 11 Evaluation of the internal structure
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Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning

Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning

As the observation-prediction model is difficult to build for the environments with large observation space, some en- vironment models are learned in the abstract state space and predict future rewards or values instead of future observa- tions. Predictrons (Silver et al. 2017) learn an abstract en- vironment model to predict rewards and values over multi- ple planning depths. However, it can only be used for policy evaluation. Value Prediction Networks (VPNs) (Oh, Singh, and Lee 2017) is on the basis of the similar idea but uses the abstract model to construct a look-ahead tree and aggre- gate the predicted rewards and values to estimate Q-values. And these Q-values are used to calculate targets and choose actions. Like VPNs, TreeQN (Farquhar et al. 2017) also builds a tree for planning, but it replaces convolutional tran- sition functions with full-connnected ones to simplify train- ing. What’s more, the environment model is embedded in the planning algorithm to optimize.
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A Fuzzy Comprehensive Evaluation of Public Satisfaction with Urbanization Based on Social Media Monitoring

A Fuzzy Comprehensive Evaluation of Public Satisfaction with Urbanization Based on Social Media Monitoring

The paper presents a method of identifying satisfaction with Urbanization based on studying the content of comments on the social networks. The analysis of public opinions revealed areas of concern and priority areas in the public Satisfaction with Urbanization. This paper analyses the influencing factors of urbanization satisfaction. Through Latent Dirichlet Allocation (LDA) Model and Sentiment Analysis, the evaluation of urbanization satisfaction in social media environment is realized.

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Study on the Efficiency Evaluation Method of Command and Control System via the Fuzzy Analytic Hierarchy Process

Study on the Efficiency Evaluation Method of Command and Control System via the Fuzzy Analytic Hierarchy Process

Abstract. In this paper, the efficiency evaluation method of command and control system is presented via the Fuzzy Analytic Hierarchy Process (FAHP). The evaluation indicator system for command and control system is constructed in terms of the liveware, the software, the hardware and the environment on the efficiency of command and control system. The fuzzy evaluation model is proposed by using the FAHP procedures. This novel proposal can be used to evaluate the whole efficiency of command and control system based on the various factors effects of command and control in aviation operations. Meanwhile, some relative treatments could be presented to improve the efficiency and security of command and control system in terms of the efficiency evaluation results.
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RATIO BASED CREDIT EVALUATION MODEL

RATIO BASED CREDIT EVALUATION MODEL

Only application of sound credit management practices by experienced risk managers will ensure success in today’s competitive environment. There are several reasons for using the new approaches to analysis and new approaches reflects the thought that credit analysis is actually risk analysis. One of the most important reasons of interest in and concern with risk management is escalating is that, in recent years the business world has become more and more competitive and the scenario is changing rapidly. Staying ahead in the competition, protecting market share and to secure economise business has witnessed increasing numbers of mergers, buy ones and acquisitions that converted small businesses into divisions of large corporations. This consists of many diversified entities that deal in a variety of products and services. This is reflected in the increasing demand for objective information to help make profitable decision. As organisation grows or is acquired by larger companies, the decision making process becomes more centralised and the traditional methods of credit analysis used by the credit managers are no longer feasible as well as cost efficient. This motivation has helped to stimulate intense credit management focus.
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A Broker Based Trust Model for Cloud Computing Environment

A Broker Based Trust Model for Cloud Computing Environment

Trust establishment is based on the facts of experiences collected from the previous interactions of entities. In general, if the interactions conform to the purpose of the cloud service provider, then trust evaluation will be correspondingly high in perception of service providers. Otherwise, it will be accordingly low. In this paper, a formal trust model has been proposed for cloud environment from the basic concepts of trust. In the proposed approach, moreover time based experience, reputation concepts and also has been considered trust relationship (direct or recommended trust) for calculating the rating based of both entities in cloud environment. In the model, it has been perceived that before providing or accessing the service from/to the cloud environment. Service user as well as service provider will ensure the trustworthiness of each other with different level of access according to SLAs, data security, performance, utilization etc. Further, the model is capable to update the rating value dynamically for each entity of the cloud.
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Workload-aware Reliability Evaluation Model in Grid Computing

Workload-aware Reliability Evaluation Model in Grid Computing

Abstract—To address the issue of reliability evaluation in dynamic grid environment, a workload-aware reliability evaluation model is proposed, in which queuing system is applied to describe the dynamic workload and working of grid resources. Meanwhile, a new type of resource fault, namely Deadline-Miss fault, is introduced to evaluate the reliability of real-time jobs. The validity of the proposed model and its approach to calculate real-time job’s reliability are presented theoretically. Extensive experiments are conducted to verify its performance, and the results show that the proposed model can significantly improve the accuracy of reliability evaluation in presence of dynamic workload. Also, scheduling algorithm based on this model can reduce the jobs’ mean response time and the deadline-miss rate.
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halshs , version 1-27 Dec 2008 Author manuscript, published in "World Sustainable Building Conference, Melbourne : Australie (2008)"

halshs , version 1-27 Dec 2008 Author manuscript, published in "World Sustainable Building Conference, Melbourne : Australie (2008)"

Three evaluation models have been developed by the members of the HQE2R project for evaluating urban projects: the ENVI model (Committee on the Environment, Public Health and Consumer Policy) on the environmental impact of projects or scenarios, the INDI model (INDicator based sustainability Impact assessment) for project evaluation and selection, the ASCOT simulation model (Assessment of Sustainable Construction and Technologies cost) that enables the comparison of a sustainable building with a benchmark building in terms of overall cost. These tools make it possible to meet respond to the requirements of European Directive 2001/42/CE pertaining to the environmental evaluation of programmes and plans.
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Evaluation and Prediction of Urban Entrepreneurship Environment in China: A Case of Guangzhou City

Evaluation and Prediction of Urban Entrepreneurship Environment in China: A Case of Guangzhou City

Studying the urban entrepreneurship environment has guiding significance for the development of urban economy and employment. Based on the PSR (Pressure-State-Response) model framework, this paper constructs an index system for evaluation of urban entrepreneurship environment, and uses the multi-factor weighted method to systematically quantitatively analyze and comprehensively evaluate the state of entrepreneurship policies, service sys- tems, and hardware facilities, and use GM(1, 1) model to predict the devel- opment trend of urban entrepreneurship environment in Guangzhou. The study shows that the policy measures to optimize the entrepreneurship envi- ronment have effectiveness, time lag and accumulation effect, and the gov- ernment’s response measures are the core factors for the stable development of the urban entrepreneurship environment. It is expected that the entrepre- neurship environment in Guangzhou will continue to improve in the future. Finally, it is pointed out that optimizing the urban entrepreneurship envi- ronment should start from innovation, attracting talents, increasing financial support, and highlighting regional industrial characteristics to form an en- trepreneurship economy.
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Performance Evaluation Model according to Performance Improvement and Satisfaction of the Staff in the Individual Sports Federations and Federations with Historical Aspect

Performance Evaluation Model according to Performance Improvement and Satisfaction of the Staff in the Individual Sports Federations and Federations with Historical Aspect

Payment component had a meaningful relationship with all the components of performance improvement, except for the ability and incentive. The relationship between promotion and progress was also significant with performance improvement but the relationship between promotion and progress was not significant. It was shown that a significant relationship existed between supervisor and all components except for the ability and incentive. The nature of work also had a significant relationship with all the components of performance improvement as well as its overall state. Investigating the relationship between colleagues also showed that it had a meaningful relationship with all components except for the ability and incentive. Overall satisfaction of employees was also positively correlated with improving performance and its components. Ghamari and Pourfarzad (2010) suggested that evaluation has a positive effect on achievement of organizational goals (23). According to the findings from the main hypothesis of the research, it can be concluded that the conceptual model of research can be explained based on research data. The values of the factor load imply the fitness of the model. Its means: ability, clarity, assistance, incentive, evaluation, credibility, and environment are factors that affect the improvement of job performance while payment, promotion and progress, supervisor, job or the nature of work and colleagues are factors that affect job satisfaction. A two-way relationship also exists between job satisfaction and job performance. Finally, the proposed model of the research is confirmed as a model of job performance evaluation (Integrated Self- Assessment Model Based on Acu & GDI Indicators). According to the findings of Soltani (2012), the growth and promotion, the nature of the job, and the incentive and motivation are factors affecting the performance of employees (24). According to Jamalzadeh et al. (2016), there is a direct relationship between job satisfaction of individuals and their performance, and those who are satisfied do their job better. When job satisfaction is created that employees feel, the content and field of work provides what is valuable to the employee; therefore, in order to
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Secure Cloud Computing with Brokered Trusted Sensor Networks

Secure Cloud Computing with Brokered Trusted Sensor Networks

Abstract—This paper investigates a novel approach to paral- lelization of machine learning algorithms using model rotation as an effective parallel computation model. We identify the importance of model rotation owing to its ability to shift the latest model updates to a neighboring computation, thereby guaranteeing model consistency which is hard to achieve in other computation models. We distinguish computation model, programming interface and implementation as design principles, and give new optimizations for the model rotation approach to parameter updates using Intel multi-/many-core architectures. Our pipeline and time control optimizations further allow us to obtain fine-grained parallelism and load balance which are necessary to achieve reliable scaling results. We show our solution to be effective in two representative algo- rithms: Collapsed Gibbs Sampling (CGS) for Latent Dirichlet Allocation and Stochastic Gradient Descent (SGD) for matrix factorization, and give better performance than previous work by us and others. Our model rotation solution leads to a general approach for parallelizing machine learning algorithms efficiently.
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Differences between software and web based systems development

Differences between software and web based systems development

It has been found that the conventional software engineering models such as for example Waterfall model, Prototyping, Incremental, Spiral, Rational Unified process (RUP) and Extreme programming (XP) cannot be used directly or not applicable for the development of web based systems (Kumar and Sangwan 2011). This is because Web applications have unique characteristics that make Web development different and more difficult than traditional software development. In this paper, the reasons of why software development methodologies failed in developing web based systems will be shown.
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The Evaluation of Hospital Performance in Iran: A Systematic Review Article

The Evaluation of Hospital Performance in Iran: A Systematic Review Article

In 6 of the 51 selected studies, the hybrid me- thods had been used for evaluating hospital per- formance. The results of using the DEA and PL models are also contradictory, so that in the Mehrtak et al. the larger number of studied hos- pitals was efficient using the DEA (54). However, in the Marnani et al. the larger number of studied hospitals was inefficient according to the results of DEA model (55). According to these contra- dictions, the researchers have suggested that use of models including several indicators is neces- sary and more realistic. Asadi et al. used a com- bination of the BSC, DEA and SERVQUAL, and tried to reduce the disadvantages of each models and strengthen the advantages of each ones (56). This model is too complex because the hospitals do not have the complete experience of imple- menting the BSC yet to integrate it with the other models.
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A hybrid approach to supplier performance evaluation using artificial neural network: a case study in automobile industry

A hybrid approach to supplier performance evaluation using artificial neural network: a case study in automobile industry

Utilization of a standard supplier evaluation system based on past experiences is vital to establish strong partnerships with suppliers (Choy, Lee, and Lau, 2005) (Temur, Özdemir and Kaya, 2009). The main goal of supplier selection is to minimize purchasing risk and costs by choosing the most appropriate suppliers and the main goal of supplier performance evaluation is to simplify decision making process on extending or discontinuing cooperation with a supplier. Despite the difference in their goals, supplier selection and supplier performance evaluation are similar in their processes. The major difference is in selecting suitable criteria for each process e.g. geographical distance might be a suitable criterion for the supplier selection process but it is not important in the supplier performance evaluation process. Although there are some common criteria such as price that might be a suitable criterion for both processes. Therefore, in order to have a more complete review and enrich the bases of this research, the supplier selection literature is also considered. Table 1 illustrates criteria and methods proposed in five distinct papers recently.
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