The concept of multi-vector policy underlies Kazakhstan’s foreign strategy. However the implementation this strategy in UN General Assembly has not yet been studied. In work, author analyzes voting cohesion Kazakhstan and Russia, China, U.S., Germany 2007-2022, also studies behavior when above countries voted oppositely. Based on a quantitative qualitative analysis more than thousand resolution...

this paper aims to assess the application of support vector machine (svm) regression in order to analysis flexible pavements. to this end, 10000 four-layer flexible pavement sections consisted of asphalt concrete layer, granular base layer, granular subbase layer, and subgrade soil were analyzed under the effect of standard axle loading using multi-layered elastic theory and pavement critical r...

In this paper, we present a method for fully automatic facial expression recognition in facial image sequences using feature extracted from tracking of facial landmarks. The facial landmarks at the first frame of the image sequence under examination are initialized using elastic bunch graph matching (EBGM) algorithm and tracked in the consecutive video frame over time. At first, the most discri...

by minimizing the total potential energy function and deploying the virtual work principle, a higher-order stiffness matrix is achieved. this new tangent stiffness matrix is used to solve the frame with geometric nonlinear behavior. since authors’ formulation takes into account the higher-order terms of the strain vector, the convergence speed of the solution process will increase. in fact, bot...

A large number of interesting visual semantic concepts occur at a sub-frame granularity in images and occupy one or more regions at the sub-frame level. Detecting these concepts is a challenge due to segmentation imperfections. We propose multi-granular detection of visual concepts that have regional support. We build a single set of support vector machine based binary concept models from the t...

A new non-predictive video codec for mobile applications is presented. The scheme omits the prediction step in the temporal axis and increases robustness of its transmission in the mobile channel. The same subbands from each frame in the group of frames (GOP) are joined together to exploit their spatial-temporal redundancies. The significant vectors of the joined subbands within the GOP are qua...

in some statistical process control applications, the quality of the product is characterized by thecombination of both correlated variable and attributes quality characteristics. in this paper, we propose anovel control scheme based on the combination of two multi-layer perceptron neural networks forsimultaneous monitoring of mean vector as well as the covariance matrix in multivariate-attribu...

In this paper, we propose multi-layer objectionable video classification system using local information and global information simultaneously. We also analyze the additional information of video files through the Internet for use in the objectionable video classification from a statistical point of view. The proposed system consists of 3 analyzers and uses MPEG-7 visual descriptors as features ...

In this work, we propose a scheme to estimate two-dimensional full-body human poses in a monocular video sequence. For each frame in the video, we detect the human region using a support vector machine, and estimate the full-body human pose in the detected region using multi-dimensional boosting regression. For the human pose estimation, we design a joints relationship tree, corresponding to th...

Fault diagnosis has always been an essential aspect of control system design. This is necessary due to the growing demand for increased performance and safety of industrial systems is discussed. Support vector machine classifier is a new technique based on statistical learning theory and is designed to reduce structural bias. Support vector machine classification in many applications in v...