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Network clustering is an essential approach to finding latent clusters in real-world networks. As the scale of real-world networks becomes increasingly larger, the existing network clustering algorithms fail to discover meaningful clusters efficiently. In this paper, we propose a framework called AnySCAN, which applies anytime theory to the structural clustering algorithm for networks (SCAN). Moreover,...
Parkinson's disease is a debilitating and chronic disease of the nervous system. Traditional Chinese Medicine (TCM) is a new way for diagnosing Parkinson, and the data of Chinese Medicine for diagnosing Parkinson is a multi-label data set. Considering that the symptoms as the labels in Parkinson data set always have correlations with each other, we can facilitate the multi-label learning process by...
With the rapid development of green building, it is important to check the energy and environmental performance of the green building post occupation. This paper focuses on how to evaluate the energy performance of a green building's cooling/heating source of the air-conditioning system post occupation. The operation of the cooling/heating system is checked to find out the problems and optimal control...
The chiller system in a building accounts for the main part of the building's total energy consumption, so it is critical to optimize the operation of chiller system for the purpose of saving energy. A chiller system generally consists of evaporation side and condensing side. The condensing side includes chillers, cooling water pumps and cooling towers, which form a subsystem of cooling water. It...
Distributed controller architectures have been proposed for Software-Defined Networking (SDN) to ensure scalability and reliability. One major drawback of the existing architectures is the uneven load distribution among controllers stemming from the static binding between controllers and switches. To address this issue, several existing studies introduce dynamic binding by adopting some switch migration...
This paper describes the method of solving the optimization problem of running number of chilled water pumps using decentralized distributed calculation. The feasibility and effectiveness of solving the optimization problem by decentralized distributed algorithm are verified by case studies.
In this paper, Simulink model is built to simulate the chilled water system of a real building. The optimal chilled water flow rate and chilled water supply temperature are found out by traversing the constrained parameter values under different working conditions. The simple optimal control rules are developed based on the optimal solutions. Optimal control rules can reduce the total energy consumption...
In this paper, based on minimum-time consensus, a distributed algorithm is proposed to solve economic dispatch problem (EDP). Firstly, The EDP is transformed to the average consensus problem and the ratio consensus protocol is utilized to address the average consensus problem over unbalanced directed topology. The proposed algorithm is implemented in a fully distributed fashion without using any global...
In this paper, to increase the accuracy and the rate of convergence of the algorithm, by employing orthogonal experiment and mutation operation to the traditional Quantum-behaved Particle Swarm Optimization (QPSO), an improved QPSO (IQPSO) has been presented. The optimization criterion, the ITAE (Integral of Time and Absolute Error) tested that the efficiency of IQPSO is superior to the traditional...
A 29-channel receive-only dense dipole head array for 7T MRI was built, methods for isolating the coil elements from each other and detuning each coil element during transmit was explored, and its performance was evaluated and compared with a commercial 24ch head array (Nova Medical. Wilmington, MA).
Nowadays, multi-core processor architectures have been widely adopted in main domains e.g., embedded, general-purpose, real-time systems, etc. Diverse thermal managements have been proposed to manage the temperature under various constraints. This has made the selection of the right thermal management policy difficult. Designers need to validate any resource distribution decision in design phase on...
Nowadays, many embedded systems consist of a mix of control applications and soft real-time tasks. This paper studies how to ensure the worst-case quality of control for control applications under disturbances while providing maximal resource to soft real-time tasks. To solve this problem, we propose a mixed-criticality control system model in which the tasks can switch between two operating modes,...
In this paper, we analyze the optimal control policy to minimize the average costs in a retrial queueing system. At any decision epoch, the manager uses admission probabilities a's to control the arriving customers and determines a cancellation price c for the unsuccessful retrial customer, which will lead to him out of system with the probability of G(c) otherwise back to the orbit. We cast the problem...
Random access delay optimization of PDT digital trunking system is mainly studied by the methods of rolling access frame in this research. Based on Markov chain and queue theory models, the impact of random access frame length and waiting time on signaling delay in PDT protocol is analyzed. The results show that under light traffic load condition, the long waiting time caused by long access frame...
Compression is a design limiting for composites as its much lower strength than tension. And it is still a challenge to predict the damage process for open-hole composite laminate under compression precisely Therefore, we proposed a progressive finite element model to demonstrate the failure behavior of open-hole laminates under compressive loading(OHC) for high-modulus and high-strength fiber reinforced...
A convex optimization problem, which needs to minimize the sum of agents' cost function with equality constraints, is investigated in this paper. We provide a novel event-triggered distributed scheme to solve the equality constrained optimization problem based on consensus theory of multi-agent systems. While the event-triggered scheme is incorporated into the distributed algorithm, some sufficient...
In this paper, a distributed secondary control scheme is proposed to restore the frequency and voltage of droop-controlled inverter-based microgrid to their nominal values, and achieve the accurate active power sharing. The main advantage of the proposed distributed control scheme is that the secondary control objectives are achieved within a fixed-time independent of the initial conditions, which...
In this paper, inner tension distribution of fiber optic cable spool for underwater communication in winding process is studied which adopts the structure design of end plates on both sides. We consider the axial compression force of the cable caused by the structure limitation of the end plates on both sides, analyze the force of the cable and the end plate, study on the relationship between radial...
The percentage of gas-fired generating units in China is increasing rapidly in recent years. Due to the uncertainty in natural gas supply and the shared usage by other industries and residents, the available natural gas supply cannot be predicted day-ahead precisely. To represent the stochastic nature of natural gas supply of power plants, we propose a two-stage stochastic programming model for the...
Dynamic Job shop scheduling (DJSS) is a complex and hard problem in real-world manufacturing systems. In practice, the parameters of a job shop like processing times, due dates, etc. are uncertain. But most of the current research on scheduling consider only deterministic scenarios. In a typical dynamic job shop, once the information about a job becomes available it is considered unchanged. In this...
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