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The new distributed propulsion configuration (DPC) can effectively improve aircraft fuel efficiency and reduce pollution, but also brings in cross-coupling effects between the aircraft aerodynamics and propulsion system. To tackle this problem, an integrated flight/propulsion optimal control is required, which is a constrained optimization problem without an explicit objective function, and most traditional...
Current distribution network fault location system has a weak fault tolerance. When the information uploaded by FTU is wrong, the misjudgment will often appear. The ant colony algorithm has strong robustness, and it can solve the combinatorial optimization problems better, like distribution network fault location. This paper proposes a fault location method of error correction based on ant colony...
The task of person re-identification (re-id) is to match images of people observed in different camera views. Recent researches mainly focus on feature representation and metric learning. Many global metric learning approaches have achieved good performance. Since comparing all of the samples with a single global metric is inappropriate to handle heterogeneous data, some local metric learning approaches...
The developments of network infrastructures and personal intelligent devices, e.g., smart phones, makes the multimedia related services play an important role in network user applications. However, users are still troubled by limited bandwidth, burst of incoming service requests, and imbalance of content dissemination while enjoying the multimedia services. In this paper, we proposed a user grouping-based...
We consider a large-scale road network in Eastern Massachusetts. Using real traffic data in the form of spatial average speeds and the flow capacity for each road segment of the network, we convert the speed data to flow data and estimate the origin-destination flow demand matrices for the network. Assuming that the observed traffic data correspond to user (Wardrop) equilibria for different times-of-the-day...
At present, research of Mesos is in the early stage. Because of the two-level hierarchical scheduling, Mesos doesn't take the whole cluster into consideration in resource scheduling, which could cause load imbalance and low resource utilization. To solve above-mentioned problem, this paper proposed a resource adjustment plan based on an improved artificial fish swarm algorithm, it adopts a new behavior...
Base station sleep mode is an effective method to reduce the energy consumption of cellular networks. Taking into account a cellular network, its central base station (BS) can turn into sleep mode when the traffic is low and the users in this cell can access to neighbor active cells. A user offloading algorithm for the sleeping cell is investigated. The energy consumption of the cellular network in...
Cloud Map-Reduce (CMR) is an advantage Map-Reduce platform and has been aroused more and more attention. To further balance the performance of job secluding among job cost, execution time and energy consumption, a locality-aware and energy-aware job pre-assignment algorithm is proposed for Map-Reduce of CMR in this paper. Firstly, the importance of rack in data locality and energy saving is analyzed...
Deduplication technology has been increasingly used to reduce the primary storage cost. In practice, it often causes additional on-disk fragmentation that impairs the reading performance. Existing deduplication algorithms mainly focus on the static data layout design so that the random I/O requests are largely avoided and the harmful effect can be alleviated. However, our trace-driven emulations show...
This study investigated the application of energy-consume concept on a silicon resonant accelerometer (SRA) to address design issues. Constrained by micro-fabrication technology, structure of the SRA is formed by resonators, micro-lever mechanisms, proof mass and multi flexures. They are referred to as compliant mechanisms. Based on the energy conservation law, an energy theoretical model on the structure...
A strategy for improving the searching ability of the Evolved Bat Algorithm is proposed in this paper. Our proposed strategy utilizes a time dependent triangular signal to replace a fix parameter designed in the conventional Evolved Bat Algorithm to gain higher impact on the searching diversity. To test whether our proposed strategy provides positive contribution to the searching results, three test...
Evolved Bat Algorithm (EBA) is one of the optimization method in swarm intelligence published in recent years. However, the searching ability of the artificial agents are sometimes limited from its original design. To overcome this drawback, a mixture signal composed of a periodical signal and a level linearly decreased Direct Current (DC) signal is led into the process of the conventional EBA. The...
Energy efficiency (EE) of wireless communications has attracted growing attention in recent years. In this paper, we focus on the EE optimization in cognitive radio networks (CRN) from a perspective of designing MAC frame structure, namely scheduling the sensing-then-transmission time slots. Considering secondary users adopting channel handoff to avoid collisions with primary users, the EE of CRN...
Considering the facts that people access to item information more easily than to user information given user privacy, and the features of items selected by the user always imply his/her preferences, we hope to utilize item features to mine user preferences besides ratings. What is more, ratings are often linguistic labels and fuzzy set is tailor-made to represent them. Therefore, we propose a novel...
Out of step with the rapid growth of China's electricity load demand, the infrastructure of power grid in many areas is not strong enough to insure the security of power system operation. In this case, considering the strict N-1 conditions of lines and transformers, the situation that there is no feasible solution for the security-constrained unit commitment (SCUC) might occasionally occur. In order...
Deduplication technology has been increasingly used to reduce the storage cost. In practice, it often causes additional on-disk fragments that impair the reading performance. To reduce the impact of fragments, traditional thought of defragmentation that reallocating files on-disk to achieve contiguous layout has been widely used in many operating systems. Unfortunately, file defragmentation is highly...
Parameters selection of support vector machine (SVM) is a key problem in the application of SVM, which has influence on generalization performance of SVM. The commonly used method, grid search (GS), is time-consuming especially for very large dataset. By using coarse grid search and pattern search (PS) to select kernel parameters and penalty factor, a fast method of parameters selection of SVM based...
In order to solve problem of path planning for Unmanned Aerial Vehicle (UAV) in dynamic environment, a three-dimensional (3D) path planning algorithm of UAV which Based on improved artificial potential field is proposed in this paper. First, the problem of target unreachable in path planning is solved through the improvement of artificial potential field function. Then the improved algorithm can avoid...
With reference to current biology research achievements of hexapod insects, this paper presents the design and optimization of structure of the bionic hexapod robot, imitating the cockroach body shape and structure features. Tripod Gaits is chosen as the robot's gait which is the most stable and fast gait for hexapod robots. We evaluate the performance of our design by testing it on the simulation...
This paper provides an introduction to and an overview of type-2 fuzzy Logic system and its optimal computation. The difference between a type-2 fuzzy set (T2 FS) and a type-1 fuzzy set (T1 FS) is discussed. The need of optimal design for the type-2 fuzzy Logic system is presented. The important advance in the optimal computation for interval type-2 fuzzy sets (IT2 FLS) and systems is demonstrated...
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