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Aimed at the research on freeway detection algorithm has great significance for improving efficiency and effectiveness of freeway traffic management, this paper based on the freeway traffic flow's characteristics, in accordance with the incident detection's basic principle, researches on freeway incident detection based on Support Vector Machine (SVM). This paper designs four different simulation...
Chaotic Ant Swarm is a recently new and promising algorithm of Optimization Problem based on the chaotic theory and foraging food processing of ants. This paper proposes a Multi-Objective Optimization version of CAS, named MOCAS, by changing the colony behavior organization. The proposed algorithm also introduced a re-distribution operation that ensures the uniform distribution of final result. We...
This paper describes a graphical method for the optimization of Quadrature Voltage Controlled Oscillators (QVCOs) based on the coupling of two LC-tank VCO. A three-dimensional phase noise analysis diagram and graphical optimization approach is presented, to optimize QVCO phase noise while satisfying design constraints such as power dissipation, tank amplitude, tuning range and start up condition....
This brief proposes a novel multi-objective heuristic. It is a transformation of a mono-objective heuristic into a multi-objective one by addition of an archive and some non dominance computing routines. Performances of the proposed heuristic are demonstrated thru test functions. An application to the optimal sizing of a class AB second generation CMOS current conveyor is presented. Comparison with...
The identification of defect parameters in thermal non-destructive test and evaluation (NDT/E) was considered as a kind of inverse heat transfer problem (IHTP). However, it can be farther considered as a shape optimization problem then a structure design optimization problem, and the design results should meet the surface temperature profile of the apparatus with defects. A bacterial colony chemotaxis...
Particle filtering is known as a robust approach for motion tracking by vision, at the cost of heavy computation in a high dimensional pose space. In this work, we describe a number of heuristics that we demonstrate to jointly improve robustness and real-time for motion capture. 3D human motion capture by monocular vision without markers can be achieved in realtime by registering a 3D articulated...
Refined Oil demand has great influence on the planning, operation and control of Refined Oil systems. A combined forecasting model based on the principle of gray theories was put forward to optimize Refined Oil demand forecasting models. The example shows that combined gray forecasting model can overcome the disadvantages of individual model, raise the precision.
The partition clustering problem is the one of the hardest problems in nowadays research. Also Partition clustering problem is the basic problem in data mining. In most cases, the partition clustering algorithm is NP problem. In this paper, there introduced an algorithm to solve partition clustering problem in polynomial time by using some reduction technology. This algorithm is availability after...
Unlike traditional routing schemes that route all traffic along a single path, multipath routing strategies split the traffic among several paths in order to ease congestion. It has been widely recognized that multipath routing can be fundamentally more efficient than the traditional approach of routing along single paths. aiming at the increasing network traffic and the deficity that the former Ant...
Scientific task allocation and knowledge workers scheduling is an important part of rational human resources management in enterprises. In this paper, ant colony algorithm is used to research task allocation and knowledge workers scheduling. Ant colony optimization algorithm can reduce the number of optimization iteration and computing time. Elite solution retention tactics is used in iterating process...
Take a research in depth on the modeling problem of service path selection based on SON. Firstly, the optimal model is built with the optimal goal of balanced loading and with the functional constraints of users for composed service and multi-QoS constraints. Then the layered method and improved Ant algorithm are adopted to solve this problem. Finally, a simulated emulation is made to the algorithm,...
Recently, a strong demand on high data rate wireless communication can be observed. The development of multi-gigabit wireless transmission systems has become very attractive. For achieving such data rates, the exploitation of 60 GHz mm wave is a very promising technical approach and has been adopted in IEEE 802.15.3c. Except for physical layer (PHY) designs, the Medium Access Control (MAC) layer design...
The WiMAX channel access is controlled by one of the several available Medium Access Control (MAC) procedures. This paper studies the contention-based bandwidth request procedure based on our original analytical model, facilitated by numerical analysis and simulation. We optimize the key parameters of the contention procedure in order to minimize the average bandwidth access delay, thus ensuring the...
This paper introduces a solution to enable self-optimization of coverage and capacity in LTE networks through base stations' downtilt angle adjustment. The proposed method is based on fuzzy reinforcement learning techniques and operates in a fully distributed and autonomous fashion without any need for a priori information or human interventions. The solution is shown to be capable of handling extremely...
Received video quality is dependent on the available link rate and the packet loss rate, which are inter-related in a busy network link. Even low packet loss ratios (PLRs) can significantly reduce the video quality. In this paper, a packet level parity FEC is applied to the video stream in order to reduce the video PLR. A constant gross data rate is assumed, such that adding a FEC leads to a decrease...
The capacity and coverage area of a cell may vary due to changed environment, insertion or deletion of base stations, or malfunctioning base stations, and wrong parameter selection in the network planning phase. Suboptimal capacity and coverage area leads to the waste of network resources and the lower quality. Reacting on the changed situation manually is very expensive and time consuming. Therefore,...
Amplify-and-forward (AF) is one of the most common and simple approaches for transmitting information over a cooperative multi-input multi-output (MIMO) relay channel. It has recently been demonstrated that the spectral efficiency of AF scheme can be maximized by using the relay as a smart precoder. However, source node precoding has not been included in the overall maximization problem. In this paper,...
We concentrate on the sum power minimization problem for the uplink of wireless cellular systems in this paper. Given a certain quality-of-service (QoS) constraint per mobile station (MS), the optimal power control and receiver beamforming are jointly considered with adaptive multi base station set (MBS) selection for joint reception. An iterative optimization algorithm is proposed accordingly. Although...
In wireless sensor networks where nodes are powered by batteries, it is critical to prolong the network lifetime by minimizing the energy consumption of each node. In this paper, the cooperative multi-input-multi-output (MIMO) and data aggregation techniques are jointly adopted to improve energy efficiency in a cluster based wireless sensor network. Using the energy model derived, the average energy...
In this paper, we apply distributed optimization dynamics of the mutually connected neural networks to RAN selection in heterogeneous type cognitive wireless networks. We evaluate the performance of the proposed approach by implementing it on an experimental heterogeneous wireless network system called Cognitive Wireless Cloud, which supports vertical handover between different radio access networks...
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