Landscape classification system based on climate, landform, ecosystem：a case study of Xinjiang area

2014 ◽  
Vol 34 (12) ◽  
Author(s):  
师庆东 SHI Qingdong ◽  
王智 WANG Zhi ◽  
贺龙梅 HE Longmei ◽  
师庆三 SHI Qingsan ◽  
阿斯姆古丽·阿纳耶提 Asimuguli. ANAYETI ◽  
...  
Keyword(s):  
Classification System ◽  
Landscape Classification

Quality inspection of complex-shaped metal parts by vibrations and an integrated Mahalanobis classification system

2020 ◽  
pp. 147592172097970
Author(s):  
Liangliang Cheng ◽  
Vahid Yaghoubi ◽  
Wim Van Paepegem ◽  
Mathias Kersemans
Keyword(s):  
Feature Selection ◽  
Mahalanobis Distance ◽  
Classification System ◽  
Gravitational Search Algorithm ◽  
Particle Swarm ◽  
Classification Performance ◽  
Decision Boundary ◽  
Particle Swarm Optimizer ◽  
Selection Phase

The Mahalanobis–Taguchi system is considered as a promising and powerful tool for handling binary classification cases. Though, the Mahalanobis–Taguchi system has several restrictions in screening useful features and determining the decision boundary in an optimal manner. In this article, an integrated Mahalanobis classification system is proposed which builds on the concept of Mahalanobis distance and its space. The integrated Mahalanobis classification system integrates the decision boundary searching process, based on particle swarm optimizer, directly into the feature selection phase for constructing the Mahalanobis distance space. This integration (a) avoids the need for user-dependent input parameters and (b) improves the classification performance. For the feature selection phase, both the use of binary particle swarm optimizer and binary gravitational search algorithm is investigated. To deal with possible overfitting problems in case of sparse data sets, k-fold cross-validation is considered. The integrated Mahalanobis classification system procedure is benchmarked with the classical Mahalanobis–Taguchi system as well as the recently proposed two-stage Mahalanobis classification system in terms of classification performance. Results are presented on both an experimental case study of complex-shaped metallic turbine blades with various damage types and a synthetic case study of cylindrical dogbone samples with creep and microstructural damage. The results indicate that the proposed integrated Mahalanobis classification system shows good and robust classification performance.

scholarly journals An ecologically based landscape classification system for monitoring and assessment of pastures

2014 ◽  
Vol 69 (1) ◽  
pp. 17A-21A ◽  
Author(s):  
S. Goslee ◽  
M. Sanderson ◽  
K. Spaeth ◽  
J. Herrick ◽  
K. Ogles
Keyword(s):  
Classification System ◽  
Landscape Classification

Estimation of streams order according to strahler classification system using GIS. Case study: streams of the Republic of Moldova

2019 ◽  
Author(s):  
Ana Jeleapov ◽  
Keyword(s):  
Water Resources ◽  
Classification System ◽  
River Basins ◽  
Drainage Density ◽  
Drainage Network ◽  
Republic Of Moldova ◽  
Rivers And Streams ◽  
The Republic

The paper contains the results of classification of rivers and streams of the Republic of Moldova according to classic Strahler method. Mentioned method was applied to estimate the hierarchical rank of the stream segments situated in 50 pilot basins using modern GIS techniques and drainage network of the GIS for Water Resources of Moldova. It was estimated that the maximal order of segments is 7 specific for the Raut and Ialpug rivers. Overall, length of 1st order streams forms 50%, while that of 7th order streams - < 1%. Additionally, stream number and frequency as well as drainage density were calculated for pilot river basins.

scholarly journals Exploring Indigenous Landscape Classification across Different Dimensions: A Case Study from the Bolivian Amazon

2014 ◽  
Vol 40 (3) ◽  
pp. 318-337 ◽  
Author(s):  
Carles Riu-Bosoms ◽  
Teresa Vidal ◽  
Andrea Duane ◽  
Alvaro Fernandez-Llamazares Onrubia ◽  
Maximilien Gueze ◽  
...  
Keyword(s):  
Landscape Classification ◽  
Bolivian Amazon ◽  
Different Dimensions

Nonverbal Learning Disorder

2015 ◽  
pp. 68-105
Author(s):  
Joseph E. Casey
Keyword(s):  
Classification System ◽  
Treatment Plan ◽  
World Health ◽  
Learning Disorder ◽  
Nonverbal Learning ◽  
Nonverbal Learning Disorder ◽  
Health Related ◽  
Definition Of ◽  
Assessment Procedures

Since the first description of nonverbal learning disorder (NLD) was published in 1967, much research has been conducted elucidating its key features, its neuroanatomical associations, and the assessment procedures essential to establishing a diagnosis and treatment plan. Although there is theoretical and empirical evidence supporting the validity of NLD, awareness of this disorder is lacking, arguably in large part due to its absence in any formal classification system. This chapter reviews the scientific literature that has given rise to our current conceptualization of NLD. Clinical practice considerations are discussed as related to its assessment, diagnosis, treatment, and prognosis. These considerations are illustrated by a case study. The chapter continues with a discussion of issues in need of further research and the benefits of considering NLD in the context of the World Health Organization's classification system for describing health and health-related conditions. The chapter ends with a proposed definition of NLD.

Landscape classification in a small area for soil series survey and mapping: a case study in the Ningzhen hills, China

2014 ◽  
Vol 34 (9) ◽  
Author(s):  
卢浩东 LU Haodong ◽  
潘剑君 PAN Jianjun ◽  
付传城 FU Chuancheng ◽  
尹正宇 YIN Zhengyu ◽  
王恒钦 WANG Hengqin ◽  
...  
Keyword(s):  
Small Area ◽  
Landscape Classification ◽  
Soil Series
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