In wide area backup protection of electric power systems, the prerequisite of protection device’s accurate, fast and reliable performance is its corresponding fault type and fault location can be discriminated quickly and defined exactly. In our study, global information will be introduced into the backup protection system. By analyzing and computing real-time PMU measurements, basing on cluste...

Graphs have so many applications in real world problems. When we deal with huge volume of data, analyzing data is difficult or sometimes impossible. In big data problems, clustering data is a useful tool for data analysis. Singular value decomposition(SVD) is one of the best algorithms for clustering graph but we do not have any choice to select the number of clusters and the number of members ...

The Urban spatial structure is affected by spatial interactions among various activity locations, and land uses in the city over the transportation system. Each city has its unique circulation pattern of passengers and freight due to its unique geographic conditions and the distribution of locations of economic activities. In that sense, it is claimed in this chapter per the authors that urban ...

Class fragmentation is an essential phase in the design of Distributed Object Oriented Databases (DOODB). Horizontal and vertical fragmentation are the two commonly used fragmentation techniques. We propose here two new methods for horizontal fragmentation of objects with complex attributes. They rely on AI clustering techniques for grouping objects into fragments. Both methods take into accoun...

The Wireless Sensor Network has gained advancement in new era technology. Beside a small size, sensors have the feature of sensing and collecting the data and small and are used in many areas ranging from detecting temperature to providing security for the home. Other than these, sensors are also used for traffic management and military applications. To extend the network lifetime, sensor nodes...

Abstract In hierarchical cluster analysis dendrogram graphs are used to visualize how clusters are formed. I propose an alternative graph named “clustergram” to examine how cluster members are assigned to clusters as the number of clusters increases. This graph is useful in exploratory analysis for non-hierarchical clustering algorithms like k-means and for hierarchical cluster algorithms when ...

In recent years, underactuated nonlinear dynamic systems trajectory tracking, such as space robots and manipulators with structural flexibility, has become a major field of interest due to the complexity and high computational load of these systems. Hierarchical sliding mode control has been investigated recently for these systems; however, the instability phenomena will possibly occur, especia...

The analysis of changes in water quality in a monitoring network system is important because the sources of pollution vary in time and space. This study utilized analysis of the water quality index calculation, hierarchical cluster analysis, and mapping. This was achieved by assessing the water quality parameters of the samples collected from Galma River in Zaria, Northwestern Nigeria in wet an...

The aim of the present study is to reveal hidden relationships between bone density, biogenic elements content, and level oxidative stress female patients with osteoporosis osteopenia. Additionally, specific links are sought in order interpret different similarity patterns objects (patients) helping a better understanding significance clinical variables for each identified pattern. Material Met...

An algorithm is presented, which exhibits a computed number of rigid conformers of an input small molecule, covering the geometric diversity in the conformational space, with minimal structural redundancy. The algorithm calls a conformer generator, then performs an agglomerative hierarchical clustering with the modified clustering gain as the stop criterion. The number of classes is computed wi...