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When clustering incomplete datasets, data on cluster border (border data) are more likely to be misclassified. Aiming at this problem, the proposed algorithm focuses on the re-classification of “suspected misclassified” border data (abbreviated as SM border data). Based on the preliminary clustering results of classical FCM-based algorithm for incomplete data and the KNN (k nearest neighbor) principle,...
To address power-thermal-dark silicon issues in many-core chip, run time task-resource and voltage co-allocation with reconfigurable network-on-chip (NoC) framework for energy and hotspots minimization is proposed in this work. At runtime, the global manager with the help of proposed MinEnergy mapping algorithm reconfigures the NoC links bandwidth and nodes voltage-level and power-gated the resources...
This paper presents a novel Kriging surrogate model based optimization algorithm to solve the constrained optimal operation problem in unbalanced three-phase distribution system, which is a mixed-integer, no-convex and nonlinear programming problem. The objective function is to reduce the power loss and to lower the voltage deviation. Considering that the traditional solving methods, such as GA and...
To maintain energy balance and voltage stability is the basic function for normal operation of DC grid. Analysis and comparison of several commonly used multi-point voltage control methods, a cooperative control strategy is proposed based on improved particle swarm optimization, considering economic performance and voltage quality in both. The method established on traditional multi-point voltage...
The main notion of this paper is to identify the cognitive load during a mental arithmetic task experiment using fNIRS signals. The first objective is to classify the difficulty level and the state of inactivity during the given task. To identify the classes, the feature vectors have to undergo all the possible steps of a pattern classification problem. In this paper, we have developed a novel Feature...
We develop optimal algorithms for forming the intersection of geometric objects in the plane and apply them to such diverse problems as linear programming, hidden-line elimination, and wire layout. Given N line segments in the plane, finding all intersecting pairs requires O(N2) time. We give an O(N log N) algorithm to determine whether any two intersect and use it to detect whether two simple plane...
A number of seemingly unrelated problems involving the proximity of N points in the plane are studied, such as finding a Euclidean minimum spanning tree, the smallest circle enclosing the set, k nearest and farthest neighbors, the two closest points, and a proper straight-line triangulation. For most of the problems considered a lower bound of O(N log N) is shown. For all of them the best currently-known...
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