scholarly journals Environmental Function Evaluation and Preparation of Green Decorative Materials in Indoor Design

2021 ◽  
Vol 45 (5) ◽  
pp. 423-430
Author(s):  
Jing Liang
Keyword(s):  
Stochastic Dominance ◽  
Preparation Method ◽  
Evaluation Model ◽  
Evidence Theory ◽  
Experimental Results ◽  
Prediction Algorithm ◽  
Function Evaluation ◽  
Environmental Function ◽  
Overall Evaluation ◽  
Environmental Functions

With the growing environmental awareness, there is a rising demand for green decorative materials in furniture and indoor design. However, the existing studies lack the overall evaluation of environmental functions for green decorative materials in indoor design. To make up for the gap, this paper evaluates the environmental function and explores the preparation method of green decorative materials in indoor design. Firstly, the types and purchase principles of green decorative materials were expounded, and the preparation flow of wood product coating was given for green decorative materials in indoor design. Then, an evaluation model was established for the environmental functions of green decorative materials, the stochastic dominance matrix was constructed for the indices, and the order value of each index was computed. Finally, fuzzy Dempster–Shafer (D-S) evidence theory was adopted to develop a prediction algorithm for the environmental function of indoor decorations, and thus realize the evaluation of the greenness of decorative materials in indoor design. Experimental results demonstrate the effectiveness of our algorithm, and the good performance of the prepared super-hydrophobic and oleophobic coatings.

High-Tech Spin-Offs’ Operational Risk Assessment System

2010 ◽  
Vol 40-41 ◽  
pp. 968-973
Author(s):  
Li Ma ◽  
Li Hua Li
Keyword(s):  
Evaluation Model ◽  
Operational Risk ◽  
Sustainable Growth ◽  
Assessment System ◽  
High Tech ◽  
Mathematical Methods ◽  
Operational Risks ◽  
Overall Evaluation ◽  
Hierarchical Index ◽  
Hierarchy Process

This paper analyzes the sources of high-tech spin-offs’ operational risks, establishes a multifactor hierarchical index system and applies Analytical Hierarchy Process and fuzzy mathematical methods to build a fuzzy overall evaluation model. This research can provide a useful tool to help high-tech spin-offs scientifically assess their operational risk degree in order to formulate corresponding countermeasures to evade the risks, and realize sustainable growth.

scholarly journals EVALUATION OF MICRO, SMALL AND MEDIUM ENTERPRISES DEVELOPMENT PROGRAM IN PT FREEPORT INDONESIA

2017 ◽  
Vol 1 (02) ◽  
pp. 19-26
Author(s):  
Theresia Oktavia
Keyword(s):  
Small And Medium Enterprises ◽  
Evaluation Model ◽  
Development Program ◽  
Secondary Data ◽  
Product Evaluation ◽  
Primary Data ◽  
Small And Medium Enterprise ◽  
Overall Evaluation ◽  
Medium Enterprise ◽  
Medium Enterprises

This research is aimed to evaluate  the implementation of Micro, Small and medium enterprise development Program in PT Freeport Indonesia. The method used for this research was qualitative descriptive, using CIPP (Context, Input, Process, and Product) evaluation model. Primary data was obtain through interviews and observation, and secondary data document study. The results showed that Program Context, Input and process were classified as high category, while   outcomes as moderate categories. The overall evaluation shows Moderate categories.The Program was rendered effective to achieve the goal of enhancing the Micro, Small and Medium enterprise Development.It should be continued and further enhanced by the management to acquire better enterprise graduates.Keywords: Evaluation of Program, Micro, small and medium enterprise, PT Freeport Indonesia

Study on Automobile Comprehensive Performance of D-S Evidence Theory

2013 ◽  
Vol 448-453 ◽  
pp. 3181-3184
Author(s):  
Zhi Hong Wang ◽  
Yi Ming Shao ◽  
Chu Cao
Keyword(s):  
Environmental Protection ◽  
Questionnaire Survey ◽  
Evaluation Model ◽  
Dynamic Performance ◽  
Evidence Theory ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Braking Performance ◽  
Comprehensive Performance ◽  
Passing Ability

Since there are many indexes of a car, we can ?t use a single index to evaluate the performance of a car. In order to fully evaluate the performance of a car, an evaluation index system of the automobile comprehensive performance was constructed from five aspects: dynamic performance, braking performance, operational stability, riding comfort and passing ability, economy and environmental protection. The evaluation model of the automobile comprehensive performance was established based on D-S evidence theory, which was applied to the evaluation of the automobile comprehensive performance based on the data from the questionnaire survey. The result of an analyzed example proved the theory to be effective and feasible.

A Fast Intra Prediction Algorithm Based on WMSE for 360-Degree Video

2020 ◽  
Vol 34 (13) ◽  
pp. 2054032
Author(s):  
Fuqi Mao ◽  
Renbo Su ◽  
Zhi Liu ◽  
Mengmeng Zhang ◽  
Wen Yue
Keyword(s):  
Virtual Reality ◽  
Video Coding ◽  
Rate Increase ◽  
Intra Prediction ◽  
Experimental Results ◽  
Prediction Algorithm ◽  
Effective Solution ◽  
Fast Intra Prediction ◽  
Time Reduction

With the increased demand for virtual reality, 360-degree video coding becomes challenging. A 360-degree video should be projected as a planar video before encoding, but this process causes distortion whose degree depends on the latitude. Traditional coding algorithms cannot effectively adapt to this feature. In this study, a fast intra prediction algorithm based on WMSE for 360-degree video is proposed. The similarity between the mother block and child blocks can reflect whether the mother block needs to be divided. Spherical weights are introduced in WMSE, and the similarity expressed by WMSE can distinguish the video of different latitude, which is consistent with the weight characteristics of ERP projection. Experimental results show that the proposed algorithm achieves 32% time reduction, with only 0.29% luma Bjontegaard delta rate (BD-rate) increase on average. The proposed algorithm provides a more effective solution to reduce the coding complexity of 360-degree video.

scholarly journals Coal Mine Gas Safety Evaluation Based on Adaptive Weighted Least Squares Support Vector Machine and Improved Dempster–Shafer Evidence Theory

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Zhenming Sun ◽  
Dong Li
Keyword(s):  
Coal Mine ◽  
Evaluation Model ◽  
Weighted Least Squares ◽  
Evidence Theory ◽  
Safety Evaluation ◽  
Mine Safety ◽  
Sensor Data ◽  
Support Vector ◽  
Coal Mine Safety ◽  
High Conflict

Gas safety evaluation has always been vital for coal mine safety management. To enhance the accuracy of coal mine gas safety evaluation results, a new gas safety evaluation model is proposed based on the adaptive weighted least squares support vector machine (AWLS-SVM) and improved Dempster–Shafer (D-S) evidence theory. The AWLS-SVM is used to calculate the sensor value at the evaluation time, and the D-S evidence theory is used to evaluate the safety status. First, the sensor data of gas concentration, wind speed, dust, and temperature were obtained from the coal mine safety monitoring system, and the prediction results of sensor data are obtained using the AWLS-SVM; hence, the prediction results would be the input of the evaluation model. Second, because the basic probability assignment (BPA) function is the basis of D-S evidence theory calculation, the BPA function of each sensor is determined using the posterior probability modeling method, and the similarity is introduced for optimization. Then, regarding the problem of fusion failure in D-S evidence theory when fusing high-conflict evidence, using the idea of assigning weights, the importance of each evidence is allocated to weaken the effect of conflicting evidence on the evaluation results. To prevent the loss of the effective information of the original evidence followed by modifying the evidence source, a conflict allocation coefficient is introduced based on fusion rules. Ultimately, taking Qing Gang Ping coal mine located in Shaanxi province as the study area, a gas safety evaluation example analysis is performed for the assessment model developed in this paper. The results indicate that the similarity measures can effectively eliminate high-conflict evidence sources. Moreover, the accuracy of D-S evidence theory based on enhanced fusion rules is improved compared to the D-S evidence theory in terms of the modified evidence sources and the original D-S evidence theory. Since more sensors are fused, the evaluation results have higher accuracy. Furthermore, the multisensor data evaluation results are enhanced compared to the single sensor evaluation outcomes.

Evaluation Method of Coal Mine Safety Based on Evidence Theory

2012 ◽  
Vol 524-527 ◽  
pp. 426-430
Author(s):  
Gang Xu ◽  
Yang Ding ◽  
Tian Jun Zhang
Keyword(s):  
Coal Mine ◽  
Evaluation Method ◽  
Production Systems ◽  
Evaluation Model ◽  
Evidence Theory ◽  
Mine Safety ◽  
Coal Mine Safety ◽  
Mine Production ◽  
Set Up ◽  
Decision Making Rule

Coal mine safety assessment is an important ways for identification and elimination of danger in coal mine production systems. This paper introduce D-S evidence theory in evaluation of coal mine safety to solve the uncertainty problem of randomicity and faintness in evaluation of coal mine safety. The evaluation model of coal mine safety is set up based on evidence theory and the detailed arithmetic of evidence theory is brought forward, and according to some decision making rule the Chaohua Coal Mine has been evaluated. The results show that the model can solve the problem of uncertainty preferable and evaluation results with more accuracy and reliability.

Condition Assessment for Power Transformer Based on Improved Evidence Combination Rule

2014 ◽  
Vol 1003 ◽  
pp. 135-139
Author(s):  
Fei Miao ◽  
Jian Wen Ren ◽  
Jun Jiao Wei
Keyword(s):  
Clustering Analysis ◽  
Power Transformer ◽  
Evaluation Model ◽  
Evidence Theory ◽  
Clustering Coefficient ◽  
Combination Rule ◽  
Comprehensive Index ◽  
Grey Clustering ◽  
Basic Probability ◽  
Hierarchical Evaluation

In view of the uncertainty transformer state information, state of transformer hierarchical evaluation model is established. Firstly, index system of transformer state is formed; Secondly, in order to get comprehensive index of state, grey clustering method is used for monomial index clustering analysis; Finally in the basis of improving synthesis rules of conflict evidence of D - S evidence theory , clustering coefficient is used as the basic probability assignment function to evaluate the overall state of transformer. Example analysis results show that the proposed evaluation model can accurately grasp the running state of transformer and provide guidance for transformer condition overhaul.

Study on Function Zoning and Evaluation of Shallow Groundwater in Jinjiang City

2014 ◽  
Vol 675-677 ◽  
pp. 830-841
Author(s):  
Mingyao Yu ◽  
Suo Zhong Chen ◽  
Chu Yu Chen
Keyword(s):  
Evaluation Model ◽  
Shallow Groundwater ◽  
Indicator System ◽  
Scientific Basis ◽  
Function Evaluation ◽  
Technical Requirement ◽  
Analytic Hierarchy ◽  
Assessment Index ◽  
Assessment Indicator ◽  
Secondary Function

Based on the comprehensive analysis about the hydrogeological condition, ecological environment, and the characteristics of geological environment, energy is devoted to constructing a function evaluation indicator system of shallow groundwater with Jinjiang regional characteristic in the light of the assessment indicator system proposed in technical requirement for function evaluation and zoning of shallow groundwater issued by ministry of Land and resources. By dint of expert’s knowledge and experience, efforts are spent in assigning different weight values to the indicators, classifying function evaluation grading standards, and putting forward a secondary function zoning rating system. Besides, focus is put on building a comprehensive function evaluation model of shallow groundwater by means of analytic hierarchy process based on the constructed assessment indicator system of shallow groundwater. In order to guarantee assessment accuracy, the studied region is split into regular discrete grid for the purpose of calculating the comprehensive assessment index of grid unit. Meanwhile, based on GIS’ spatial analysis function, a research is conducted on the overall function zoning map of the shallow groundwater in the studied region to accurately reveal its spatial distribution and exploitation and provide scientific basis for groundwater management.

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