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Given a database of spatial trajectories reporting the movement of a set of objects in a time frame, the problem is to discover the groups of objects that stay in close proximity within a geographical area for a significant time. To deal with the problem, techniques for the discovery of collective patterns, e.g. the meeting pattern, have been proposed. Such techniques, however, impose stringent constraints...
Pairwise protein structure comparison has taken significant scientific research effort in last two decades. Even though it all started with alignment-based comparison methods, recently there are several non-alignment based methods that have shown good potential. One such approach is based on shape descriptors. These methods use histograms or vectors to represent the molecular shapes. They have shown...
A novel procedure to validate the existence of clusters of the Malaysian lady foot shape measurement is proposed in this study. The Cophenetic Correlation Coefficient (CPCC) index is used to determine the optimal linkage method and distance measure. Mixture distribution confirmed the number of clusters. Three foot shape features that are Left Foot Length (LFL), Left Foot Breadth (LFB) and Left Ball...
We present a novel, low-cost haptic feedback device for spatial design tasks that provides proprioceptive and tactile feedback. It uses the Manus VR datagloves and a custom VR CAD environment. Here, tactile feedback is provided to the index finger through a vibrating motor, which helps users in identifying points on a grid. This grid allows for alignment during the creation and manipulation of geometric...
Cell nucleus characterization is essential for pathological image analysis. In this article, we propose a shape characterization of the cell nucleus based on some selected shape descriptors. In order to separate automatically the different cell nucleus shapes, we focus our effort on the feature extraction and classification processes. The main contribution of our work is the creation of a new shape...
High precision results in structural with the shortest time consumption are expected when methods are introduced to solve FEM(Finite element method). Solving of stiffness matrix assembled by isoparametric elements and solving the assembled stiffness matrix are the most time-consuming. In the previous serial algorithms, there is always a time limitation for some applications and it is hard to achieve...
Clustering is a well-recognized data mining technique which enables the determination of underlying patterns in datasets. In electric power systems, it has been traditionally utilized for different purposes like defining customer load profiles, tariff designs and improving load forecasting. Some surveys summarized different clustering techniques which were traditionally used for customer segmentation...
This article presents the weighted data features of the standard deviational curve (SDC). Similar data features exist for the standard deviational ellipse (SDE). This paper presents weighted data features for the SDC which include the angle of rotation, the minimum and maximum standard deviation, the area, and the circulatory index. Performed correctly, weighted features give a better use of the areal...
In this paper, we address the problem of gender classification based on facial images. The Speeded Up Robust Feature (SURF) algorithm descriptors are used as features to built dictionaries and a multi-task Sparse Representation Classification (SRC) is used as classifier to determine the gender of an individual face. Our approach uses smaller and compact dictionaries by removing the redundant atoms...
Characterizing the smart growth of a landscape in terms of the change pattern evolved in the region has been the focus of study for quite some time. The characterization of the growth of a region is essential for officials and city planners for the sake of planning and management perseverance. This paper attempts to characterize the smart growth of a region through landscape metrics. The traditional...
Feng Shui is a traditional philosophy of Chinese culture. In the Feng Shui theory, the dragon vein is an important element. In this paper we study the relationship between the fractal dimension and the dragon vein. Our experiment results show that the fractal dimensions of dragon veins is accordance with our prior knowledge of dragon veins. We argue that the fractal dimension could be used as a quantitative...
A cluster validity index is to evaluate the correct number of clusters when partitioning a dataset. In this paper, we propose a new cluster validity index based on two measures called dispersion and overlap for Gaussian-distributed clusters. The dispersion measure is used to estimate the situation of data spreading in a cluster. A small dispersion measure for a cluster means that data points are distributed...
We propose a novel concept of asymmetric feature maps (AFM), which allows to evaluate multiple kernels between a query and database entries without increasing the memory requirements. To demonstrate the advantages of the AFM method, we derive a short vector image representation that, due to asymmetric feature maps, supports efficient scale and translation invariant sketch-based image retrieval. Unlike...
In this paper, we propose a persistent scatterer clustering method for high-resolution structure displacement analysis. Persistent scatterer interferometry can monitor millimetric displacement of structures like bridges, buildings, and roads by analysis at persistent scatterers (PSs), pixels with high coherence in synthetic aperture radar (SAR) images. However, it requires great time and effort to...
This paper deals with the optimal fault-tolerant operation of a 5-phase permanent magnet (PM) brushless DC (BLDC) drive. In particular, the companion paper (Part I) proposes the optimization of the current supply to obtain the maximum power in healthy conditions and its analytical solution. In the present paper (Part II), by constraining the proposed model with healthy and fault specific conditions,...
Isotropy analysis of workspace plays a critical role in improving the quality of workspace for parallel manipulators. Although various workspace determination approaches have been studied intensively for parallel manipulators in the past decades, workspace isotropy analysis for parallel manipulators has been seldom touched. This paper proposes two novel workspace geometric shape isotropy indices,...
Object-Based Image Analysis (OBIA) has gained swift popularity in remote sensing area mainly due to the increasing availability of very high resolution imagery. Image segmentation is a major step within OBIA process. Image segmentation quality remarkably influences the subsequent image classification accuracy. It is necessary to implement advanced and robust methods to increase image segmentation...
Occupancy detection is playing a critical role to improve the efficiency of building management system and optimize personalized thermal comfort, among many other emerging applications. Conventional occupancy detection methods, such as Passive Infra-Red (PIR) and camera, have several drawbacks including low accuracy, high intrusiveness and extra infrastructure. In this work, we propose FreeDetector,...
Signal coordination is one of the most widely employed strategies to efficiently operate signal plans in a network. The impact on a network varies depending on signal plans as well as the spatial shape of coordination groups. Improper coordination groups may worsen the traffic flow and level of service Finding ideal decomposition points of an arterial is critical in a system-wide perspective. This...
In this paper we propose the algorithms that can be used to determine the values for several parameters that characterize the dynamic regime of operation of a DC motor. These parameters values are determined by simulation based on a state-space model by means of a virtual instrument made in LabView. In this way is possible to observe the dynamic characteristics of the DC motor in different operating...
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