An important government activity of all nation states is building and maintaining a land administration system (LAS) with the primary objective of supporting an efficient and effective land market. This includes cadastral surveys to identify and subdivide land, land registry systems to support simple land trading (buying, selling, mortgaging and leasing land) and land information systems to fac...

The modern engineering structures require the advanced engineering materials to resist the high temperatures and to provide high stiffness. In particular the functionally graded porous materials (FGPMs) introduced are expected to have these desired properties, consequently eliminating local stress concentration and de-lamination. In the present paper, a new shear strains shape function is chose...

Studying the differences in township gradient of rural construction land structures at microscale is beneficial for adjustment structure based on local conditions and differentiation, classification guidance scientific planning management land, improving level intensive use land. In this study, we took 268 administrative villages Yuzhong County Loess Hilly Region as research object conducted in...

New Zealand has a legal 3D cadastre, and has done since the inception of its cadastral survey and tenure systems around 150 years ago. However, the digital representation of the cadastre is 2D with 3D situations handled via static plan, section and elevation images and supporting textual information. Work is currently underway to develop a 3D digital cadastre that will enable the 3D spatial ext...

In recent years, with the frequent occurrence of global climate problems, China has paid great attention to sustainable development and ecological environment governance. Sichuan Province is a significant grain production reserve base in western China, its agriculture an important foundation for healthy regional agricultural economy food security. this study, we divided land into cultivated lan...

The classification problem derived from information extraction (IE) has an imbalanced training set. This is particularly true when learning from smaller datasets which often have a few positive training examples and many negative ones. This paper takes two popular IE algorithms – SVM and Perceptron – and demonstrates how the introduction of an uneven margins parameter can improve the results on...

In order to deal with the problem of low categorization accuracy of minority class of the uneven forestry information text classification algorithm, this paper puts forward the uneven forestry information text classification algorithm based on weighted Gauss-Newton neural network, on the basis of weighted Gauss-Newton algorithm, the algorithm is proved via singular value decomposition principle...

This paper presents a simulation framework for evolution on uneven terrains for a wheeled mobile robot such as a synchronous drive robot. The framework lends itself as a tool capable of solving various problems, such as forward kinematic based evolution, inverse kinematic based evolution, path planning and trajectory tracking. This framework becomes particularly useful when we understand that t...

This paper proposes a novel algorithm for humanoid robots to walk on unknown uneven terrain by using the Modifiable Walking Pattern Generator (MWPG). The proposed algorithm runs with a finite state machine including ascending and descending states. If the landing time of a swinging leg on unknown uneven terrain is shorter than the assigned single support time, the state is switched to the ascen...