Recent Implementation of Malaysian National Axle Load Policies via Weight Restriction Orders 1989, 2003 and 2017

2021 ◽  
pp. 123-132
Author(s):  
M. N. Shahruddin ◽  
C. C. Lim ◽  
S. K. Ng ◽  
K. M. S. Ku Mahamud ◽  
M. H. Uzir
Keyword(s):  
Weight Restriction

WEIGHT RESTRICTION IN PREGNANCY

1956 ◽  
Vol 2 (16) ◽  
pp. 605-605
Author(s):  
W. Ivon Hayes
Keyword(s):  
Weight Restriction ◽  
In Pregnancy

scholarly journals Robust Template Decomposition without Weight Restriction for Cellular Neural Networks Implementing Arbitrary Boolean Functions Using Support Vector Classifiers

2013 ◽  
Vol 2013 ◽  
pp. 1-9
Author(s):  
Yih-Lon Lin ◽  
Jer-Guang Hsieh ◽  
Jyh-Horng Jeng
Keyword(s):  
Neural Networks ◽  
Boolean Function ◽  
Past Research ◽  
Cellular Neural Network ◽  
Decomposition Methods ◽  
Cellular Neural Networks ◽  
Support Vector ◽  
Decomposition Algorithms ◽  
Weight Restriction ◽  
The Given

If the given Boolean function is linearly separable, a robust uncoupled cellular neural network can be designed as a maximal margin classifier. On the other hand, if the given Boolean function is linearly separable but has a small geometric margin or it is not linearly separable, a popular approach is to find a sequence of robust uncoupled cellular neural networks implementing the given Boolean function. In the past research works using this approach, the control template parameters and thresholds are restricted to assume only a given finite set of integers, and this is certainly unnecessary for the template design. In this study, we try to remove this restriction. Minterm- and maxterm-based decomposition algorithms utilizing the soft margin and maximal margin support vector classifiers are proposed to design a sequence of robust templates implementing an arbitrary Boolean function. Several illustrative examples are simulated to demonstrate the efficiency of the proposed method by comparing our results with those produced by other decomposition methods with restricted weights.

scholarly journals Influence of body weight restriction in a body-weight-selected line of turkeys on response to challenge with Pasteurella multocida

1999 ◽  
Vol 78 (9) ◽  
pp. 1263-1267 ◽  
Author(s):  
KE Nestor ◽  
MS Lilburn ◽  
YM Saif ◽  
JW Anderson ◽  
RA Patterson ◽  
...  
Keyword(s):  
Body Weight ◽  
Pasteurella Multocida ◽  
Weight Restriction

scholarly journals Consequences of Sport-Imposed Weight Restriction in Childhood

2006 ◽  
Vol 64 (2) ◽  
pp. 77-84 ◽  
Author(s):  
Nathalie Boisseau
Keyword(s):  
Weight Restriction

Comprehensive Cross-Efficiency Methods with Common Weight Restrictions in Data Envelopment Analysis

2020 ◽  
Vol 37 (05) ◽  
pp. 2050019
Author(s):  
Qing Wang ◽  
Keke Wei ◽  
Yang Zhang ◽  
Xuan Wang
Keyword(s):  
Data Envelopment Analysis ◽  
Geometric Mean ◽  
Data Envelopment ◽  
Weight Restrictions ◽  
Aggregation Method ◽  
Self Evaluation ◽  
Weight Restriction ◽  
Restriction Methods ◽  
Common Weight ◽  
The Stability

Considering both self-evaluation and peer evaluation, the traditional data envelopment analysis (DEA) cross-efficiency method has been widely used to evaluate efficiency scores. However, it has several defects such as excessive weight flexibility, unstable evaluation, and aggregation irrationality. This paper proposes a novel comprehensive DEA cross-efficiency method where two novel weight restriction methods are used to enhance the stability and feasibility of evaluation. Then, final efficiency scores were calculated through the geometric mean aggregation method. Finally, an empirical example is used to demonstrate that the proposed methods are more reasonable and scientific.

scholarly journals Aircraft Takeoff Performance in a Changing Climate for Canadian Airports

Atmosphere ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 418
Author(s):  
Yijie Zhao ◽  
Laxmi Sushama
Keyword(s):  
Climate Change ◽  
Climate Model ◽  
Regional Climate ◽  
Daily Maximum ◽  
Daily Minimum ◽  
Weight Restriction ◽  
South Central ◽  
Aircraft Performance ◽  
Maximum Temperatures ◽  
Projected Changes

Temperature and wind are major meteorological factors that affect the takeoff and landing performance of aircraft. Warmer temperatures and the associated decrease in air density in future climate, and changes to crosswind and tailwind, can potentially impact aircraft performance. This study evaluates projected changes to aircraft takeoff performance, in terms of weight restriction days and strong tailwind and crosswind occurrences, for 13 major airports across Canada, for three categories of aircraft used for long-, medium- and short-haul flights. To this end, two five-member ensembles of transient climate change simulations performed with a regional climate model, for Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios, respectively, are analyzed. Results suggest that the projected increases in weight restriction days associated with the increases in daily maximum temperatures vary with aircraft category and airfield location, with larger increases noted for airfields in the south central regions of Canada. Although avoiding takeoff during the warmest period of the day could be a potential solution, analysis focused on the warmest and coolest periods of the day suggests more weight restriction hours even during the coolest period of the day, for these airfields. Though RCP8.5 in general suggests larger changes to weight restriction hours compared to RCP4.5, the differences between the two scenarios are more prominent for the coolest part of the day, as projected changes to daily minimum temperatures occur at a much faster rate for RCP8.5 compared to RCP4.5, and also due to the higher increases in daily minimum temperatures compared to maximum temperatures. Both increases and decreases to crosswind and tailwind are projected, which suggest the need for detailed case studies, especially for those airfields that suggest increases. This study provides useful preliminary insights related to aircraft performance in a warmer climate, which will be beneficial to the aviation sector in developing additional analysis and to support climate change adaptation-related decision-making.

Weight Restriction and Control Questionnaire

2014 ◽  
Author(s):  
Caroline Leanne Donovan ◽  
Dianne Chew ◽  
Rhiannon Penny
Keyword(s):  
Weight Restriction ◽  
And Control

Supplier selection considering sustainability measures: an application of weight restriction fuzzy-DEA approach

2018 ◽  
Vol 52 (3) ◽  
pp. 981-1001 ◽  
Author(s):  
Atefeh Amindoust
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Social Issues ◽  
Selection Process ◽  
Essential Element ◽  
Dea Model ◽  
Weight Restriction ◽  
Proposed Model ◽  
Automotive Parts ◽  
Fuzzy Dea

With the growing of consumer awareness in environmental and social issues sustainable development has become an essential element in supply chain management. Supplier evaluation and selection is one of the main strategic decisions for purchasing management in supply chain. This paper use Data Envelopment Analysis (DEA) to propose a new model for evaluation and ranking of a given set of suppliers from sustainable point of view. The proposed model integrates the fuzzy set theory and DEA to consider the decision makers’ preferences and handle the ambiguity and uncertainty in supplier selection process. For this purpose, linguistic values in the form of triangular fuzzy numbers are used to assess the weights of criteria, sub-criteria, and the ratings of suppliers’ performance with respect to sub-criteria. Then, a fuzzy-DEA model, using α-cut approach, is developed considering weight constraints. An application from Supplying Automotive Parts Company (SAPCO) Company, which is one of the largest suppliers of automotive parts in the Middle-East, is presented to show the applicability of the proposed model. Finally, the proposed weight restriction fuzzy-DEA model is validated through comparing with one of the recent supplier selection methods.

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