EVALUATION METHODOLOGY ON TRAJECTORY OF INBOUND SINGLE SHIP USING SIMILARITY MEASUREMENT BETWEEN PLANAR CLOUDS

2021 ◽  
Vol 159 (A3) ◽  
Author(s):  
C Fang ◽  
H Ren ◽  
Y Jin ◽  
C Dong
Keyword(s):  
Evaluation Method ◽  
Quantitative Information ◽  
Evaluation Methodology ◽  
Similarity Measurement ◽  
Reference Tracking ◽  
New Approach ◽  
Measurement Results ◽  
Sample Data ◽  
Quantitative Score ◽  
Score Evaluation

In order to evaluate the ship trajectory more reasonable based on the quantitative information. This paper presents a new approach to evaluate the inward-port single ship trajectory quantitatively based on ship-handling simulator. First, a ship tracking points generating algorithm is proposed to generate sufficient tracking points in order to address the issue that the sample information is not enough on the ship simulator. Second, three reference tracking belts are established based on the sample data and cloud drop contribution degrees for the scenario that the collected samples information are enough. Finally, a quantitative score evaluation method that combines the qualitative information and the quantitative information is proposed, the similarity measurement results verify that the MES algorithm is more reasonable, the evaluation results of inward-port single ship trajectory illustrative that the proposed method is effective when applied to quantitative evaluation problems.

Evaluation Methodology on Trajectory of Inbound Single Ship Using Similarity Measurement Between Planar Clouds

2017 ◽  
Vol Vol 159 (A3) ◽  
Author(s):  
C Fang ◽  
H Ren ◽  
Y Jin ◽  
C Dong
Keyword(s):  
Evaluation Method ◽  
Quantitative Information ◽  
Evaluation Methodology ◽  
Similarity Measurement ◽  
Reference Tracking ◽  
New Approach ◽  
Measurement Results ◽  
Sample Data ◽  
Quantitative Score ◽  
Score Evaluation

In order to evaluate the ship trajectory more reasonable based on the quantitative information. This paper presents a new approach to evaluate the inward-port single ship trajectory quantitatively based on ship-handling simulator. First, a ship tracking points generating algorithm is proposed to generate sufficient tracking points in order to address the issue that the sample information is not enough on the ship simulator. Second, three reference tracking belts are established based on the sample data and cloud drop contribution degrees for the scenario that the collected samples information are enough. Finally, a quantitative score evaluation method that combines the qualitative information and the quantitative information is proposed, the similarity measurement results verify that the MES algorithm is more reasonable, the evaluation results of inward-port single ship trajectory illustrative that the proposed method is effective when applied to quantitative evaluation problems.

scholarly journals Nuclear Data Uncertainty Quantification in Criticality Safety Evaluations for Spent Nuclear Fuel Geological Disposal

2021 ◽  
Vol 11 (14) ◽  
pp. 6499
Author(s):  
Matthias Frankl ◽  
Mathieu Hursin ◽  
Dimitri Rochman ◽  
Alexander Vasiliev ◽  
Hakim Ferroukhi
Keyword(s):  
Uncertainty Quantification ◽  
Nuclear Fuel ◽  
Evaluation Method ◽  
Spent Nuclear Fuel ◽  
Nuclear Data ◽  
Data Uncertainty ◽  
Evaluation Methodology ◽  
Geological Disposal ◽  
Fuel Assemblies ◽  
Criticality Safety

Presently, a criticality safety evaluation methodology for the final geological disposal of Swiss spent nuclear fuel is under development at the Paul Scherrer Institute in collaboration with the Swiss National Technical Competence Centre in the field of deep geological disposal of radioactive waste. This method in essence pursues a best estimate plus uncertainty approach and includes burnup credit. Burnup credit is applied by means of a computational scheme called BUCSS-R (Burnup Credit System for the Swiss Reactors–Repository case) which is complemented by the quantification of uncertainties from various sources. BUCSS-R consists in depletion, decay and criticality calculations with CASMO5, SERPENT2 and MCNP6, respectively, determining the keff eigenvalues of the disposal canister loaded with the Swiss spent nuclear fuel assemblies. However, the depletion calculation in the first and the criticality calculation in the third step, in particular, are subject to uncertainties in the nuclear data input. In previous studies, the effects of these nuclear data-related uncertainties on obtained keff values, stemming from each of the two steps, have been quantified independently. Both contributions to the overall uncertainty in the calculated keff values have, therefore, been considered as fully correlated leading to an overly conservative estimation of total uncertainties. This study presents a consistent approach eliminating the need to assume and take into account unrealistically strong correlations in the keff results. The nuclear data uncertainty quantification for both depletion and criticality calculation is now performed at once using one and the same set of perturbation factors for uncertainty propagation through the corresponding calculation steps of the evaluation method. The present results reveal the overestimation of nuclear data-related uncertainties by the previous approach, in particular for spent nuclear fuel with a high burn-up, and underline the importance of consistent nuclear data uncertainty quantification methods. However, only canister loadings with UO2 fuel assemblies are considered, not offering insights into potentially different trends in nuclear data-related uncertainties for mixed oxide fuel assemblies.

Evaluation method for energy parameters and energy saving potential of oil reservoir pressure maintenance pumps operating beyond permissible limits

2021 ◽  
Vol 6 ◽  
pp. 35-38
Author(s):  
Rashid Kafiatullin
Keyword(s):  
Energy Saving ◽  
Evaluation Method ◽  
Evaluation Methodology ◽  
Design Parameters ◽  
Oil Reservoir ◽  
Reservoir Pressure ◽  
Original Design ◽  
Energy Parameters ◽  
Energy Saving Potential ◽  
Basic Parameters

Oil reservoir pressure maintenance pumps are often pushed to operate significantly outside of their original design parameters. This can cause operating problems which impact their reliability and efficiency. The author offers the evaluation methodology for energy parameters and energy saving potential of oil reservoir pressure maintenance pumps in order to develop major pump parameters like efficiency, pressure, and specific electric power. The methodology was tested on 42 pump units. The values of variations of basic parameters indicate the energy saving potential of pump units.

Optimal Robust Fixture Configuration Design Using Computer Experiment

Manufacturing ◽  
2003 ◽  
Author(s):  
L. Shelley Xie ◽  
Agus Sudjianto
Keyword(s):  
Evaluation Method ◽  
Robustness Analysis ◽  
Optimal Solution ◽  
Computer Experiment ◽  
System Response ◽  
New Approach ◽  
New Information ◽  
Reliability Method ◽  
Fixture Configuration

A new FEA based design approach of optimal robust fixture configuration is proposed in this paper, which employs a surrogate model through computer experiment to significantly reduce the intensive computing effort involving numerous FEA system response evaluations. The effects of the fixture variability to the workpiece performance variability are assessed through an efficient robustness evaluation method, First Order Reliability Method (FORM), based on the surrogate computer model. Not restricted to primary datum surface, this new approach enables simultaneous determination of robust locator/clamp locations and clamping forces for a deformable workpiece and thus captures interaction between locating and clamping. The effectiveness of this approach is illustrated though an application example. The results of robustness analysis reveal new information and suggest that the optimal solution resulted from deterministic optimization may not be the best solution when the design is subjected to variability.

Characterization and Combination of Agronomical Entities in Accordance with Spatial and Quantitative Imprecision

2015 ◽  
Vol 6 (3) ◽  
pp. 1-16
Author(s):  
Karima Zayrit ◽  
Eric Desjardin ◽  
Cyril de Runz ◽  
Herman Akdag
Keyword(s):  
Quality Evaluation ◽  
Agricultural Practices ◽  
Quantitative Information ◽  
New Approach

One of the objectives of the authors' studies on the monitoring of agricultural practices is to deal with imperfect spatial and quantitative information, and to always associate a quality evaluation with acquired or computed data from each location in the territory being studied. In order to produce quantitative information for each location and to consider the imprecision of data, this paper introduces the notion of fuzzy agronomical entities that consider both fuzzy spatial and quantitative information. Then, it proposes a new approach for propagating spatial imprecision to fuzzy quantitative values using two fuzzy combination operators. This method produces the fuzzy quantity of spatially disseminated chemicals for each location.

scholarly journals A New Approach for Land Degradation and Desertification Assessment Using Geospatial Techniques

2017 ◽  
Author(s):  
Masoud Masoudi ◽  
Parviz Jokar ◽  
Biswajeet Pradhan
Keyword(s):  
Land Degradation ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Evaluation Method ◽  
Low Cost ◽  
United Nations Environment Programme ◽  
Geospatial Techniques ◽  
New Approach ◽  
Khuzestan Province ◽  
Current State

Abstract. Land degradation reduces production of biomass and vegetation cover in every land uses. The lack of specific data related to degradation is a severe limitation for its monitoring. Assessment of current state of land degradation or desertification is very difficult because this phenomena includes several complex processes. For that reason, there is no common agreement has been achieved among the scientific community for its assessment. This study was carried out as an attempt to develop a new approach for land degradation assessment based on its current state by modifying of FAO1/UNEP2 index and normalized difference vegetation index (NDVI) index in Khuzestan province, placed in the southwestern part of Iran. The proposed evaluation method is easy to understand the degree of destruction due to low cost and save time. Results showed that based on percent of hazard classes in current condition of land degradation, the most widespread and minimum area of hazard classes are moderate (38.6 %) and no hazard (0.65 %) classes, respectively. While results in the desert area of study area showed that severe class is much widespread than other hazard classes, showing environmentally bad situation in the study area. Statistical results indicated that degradation is highest in desert and then rangeland compared to dry cultivation and forest. Also statistical test showed average of degradation amount in the arid region is higher than other climates. It is hoped that this attempt using geospatial techniques will be found applicable for other regions of the world and better planning and management of lands, too. 1 Food and Agriculture Organization 2 United Nations Environment Programme

scholarly journals Analysis of multipath and DOA detection using a fully polarimetric automotive radar

2018 ◽  
Vol 10 (5-6) ◽  
pp. 570-577 ◽  
Author(s):  
Tristan Visentin ◽  
Jürgen Hasch ◽  
Thomas Zwick
Keyword(s):  
Multipath Propagation ◽  
Radial Distance ◽  
Doa Estimation ◽  
Complex Environments ◽  
Angle Of Arrival ◽  
Automotive Radar ◽  
New Approach ◽  
Measurement Results ◽  
Radar Measurements ◽  
77 Ghz

AbstractMultipath propagation occurs in many situations of radar measurements in complex environments. The unwanted effects range from interference over the radar channels, which causes amplitude fading and a corrupted direction of arrival (DOA) estimation, to the detection of ghost targets in an angle of arrival of the multipath direction. Due to the different number of reflections, polarimetric radars are capable to separate certain multipaths from direct paths if the target is known in advance. Furthermore, it is possible to separate objects with different polarimetric features in DOA that are located in the same radial distance to the radar. In this paper, a new approach to DOA detection based on the coherent Pauli decomposition is presented. With this approach, important multipath and DOA effects are analyzed and measurement results at 77 GHz on canonical objects in an anechoic chamber are presented. The results prove the feasibility of the approach and demonstrate the occurring effects.

scholarly journals A Convolutional Neural Network (CNN) Based Approach for the Recognition and Evaluation of Classroom Teaching Behavior

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Guang Li ◽  
Fangfang Liu ◽  
Yuping Wang ◽  
Yongde Guo ◽  
Liang Xiao ◽  
...  
Keyword(s):  
Evaluation Method ◽  
Identification Accuracy ◽  
Classroom Teaching ◽  
Support Vector ◽  
Decision Matrix ◽  
Teaching Behavior ◽  
Sample Data ◽  
Characteristic Sample ◽  
Relationship Of ◽  
Behavior Characteristic

To improve classroom teaching behavior recognition and evaluation accuracy, this paper proposes a new model based on deep learning. First, we obtain the classroom teaching behavior characteristic data through the SVM’s linear separable initial and determine the relationship of the characteristic sample data in the hyperplane. Then, we obtain the heterogeneous support vector of the online learning behavior characteristic sample data in the SVM’s hyperplane and complete the extraction of data with the help of convolutional neural networks. We then use a decision matrix to analyze the hierarchical process, determine the weight of classroom teaching behavior indicators, verify their consistency, and complete the evaluation by calculating the membership of evaluation factors. The experimental results show that the identification and evaluation method of classroom teaching behavior in this paper can effectively improve the identification accuracy of the classroom teaching behavior.

scholarly journals Optinalysis: A New Approach of Symmetry Detection and Similarity Measurement through a Looking-Glass

2019 ◽  
Author(s):  
Kabir Bindawa Abdullahi
Keyword(s):  
Sequence Comparison ◽  
Genomic Sequences ◽  
Similarity Measurement ◽  
Symmetry Detection ◽  
New Approach ◽  
Alternative Approach ◽  
Simple Alternative ◽  
Looking Glass

Optinalysis, as a method of symmetry detection, is a new algorithm that intrametrically (within elements or variables) or intermetrically (between elements or variables) computes and compares two or more univariate or multi-clustered or multivariate sequences as a mirror-like reflection of each other (optics-like manner), hence the name is driven. Optinalysis is based by the principles of reflection and moment about a symmetrical line which detects symmetry that reflects a similarity measurement. This proposed methodology was validated in comparison with Pearson method of skewness detection, and also with some algorithms for pairewise alignment and comparison of genomic sequences (Needle, Stretcher, Water, Matcher) on EMBL-EBI website. A results comparison shows that optinalysis is more advance, more sensitive, more inferential and simple alternative approach of skewness detection and pairewise sequence comparison.

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