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Some rheumatoid arthritis patients are not clinical response to Rituximab treatment, so the identification of candidate genes for Rituximab response is very important which might contribute to improve the response chance. This paper identifies the candidate genes in a module view, which is more robust and biologically meaningful compared to the conventional gene differentially expressed analysis....
Aiming at the lack of stability and slow convergence of rapidly random-exploring trees (RRT) algorithm, an improved RRT path planning algorithm is proposed. Firstly, based on bidirectional search path planning algorithm, an improved combination strategy is proposed. The combination strategy combines target point search strategy with random search strategy, which not only improve the efficiency of...
We consider the problem of link prediction in dynamic networks under the condition of a set of snapshots of the networks. To address the nonlinear transitional patterns in network structures, we propose an approach that incorporates the historical linkage and neighboring information into the restricted Boltzmann machine (RBM) model by adding temporal and neighboring connections between the hidden...
Many of the existing Leader Election algorithms don't deal with energy consumption and fault tolerance since they are not mainly dedicated to autonomous systems like wireless sensor and IoT networks. It is possible to use the classical Minimum Finding (MinFind) algorithm, where each node sends its value in a broadcast mode each time a better value is received. This process is very energy consuming...
Constant ransomware attacks achieve to evade multiple security perimeters, because its strategy is based on the exploitation of users-the weakest link in the security chain-getting high levels of effectiveness. In this paper, an in-depth analysis of the anatomy of the ransomware is develop, and how they combine technology with manipulation, through social engineering, to meet their goals and compromise...
This paper tackles the problem of finding the list of solutions with strictly increasing cost for the Semi-Assignment Problem. Four different algorithms are described and compared. The first two algorithms are based on a mathematical model and on a modification of Murty's algorithm, which was designed to find the list of solutions for the classical assignment problem. The third approach is a heuristic...
During last period, the energy harvested from solar power cells have arisen exponentially, being every day more important, because it is a clean energy presented in almost all over the globe. However, in order to track the maximum power point to maximize the drained energy, different algorithms are implemented to impose certain current and voltage at the solar module output. The maximum power point...
In this paper, a continuous-time distributed optimization algorithm based on multi-agent system is proposed for solving the distributed least absolute deviation problems subject to hybrid constraints. In the multi-agent network, each of the L1-norm functions is realized using the projection operator. Meanwhile, each agent must be subject to the local hybrid constraints. Then all the agents constitute...
Based on the problem of the multi-objective spectrum allocation on the joint optimization of maximal network utility and the fairness of users in the cognitive network, a novel adaptive fruit fly algorithm (FOA) for channel (i.e. spectrum) scheduling is proposed, which can make both of primary users (PUs) and cognitive nodes (CNs) access to the available wireless channels. In the present algorithm,...
H∞ consensus is investigated for multi-agent systems with linear dynamics and impulsive effects in this paper. First of all, by considering the effects of distributed impulses, the model of linear multi-agent systems with impulsive effects and external disturbances has been obtained. Then, in view of the average impulsive interval and the Lyapunov stability theory, an algorithm has been given to solve...
The well-known maximum torque per ampere (MTPA) strategy is usually integrated the field oriented control (FOC) to improve the efficiency of interior permanent-magnet (IPM) synchronous motor drives. As an alternative to the FOC, direct torque control (DTC) has attracted extensive attention from both academia and industry in the last few decades, due to its distinctive advantages, e.g., fast dynamic...
In this paper, a new type of TSP, i.e. PTSP (Polymorphic Traveling Salesman Problem) is proposed. The problem is discovered from the research of scan field route optimization. As for PTSP, every node is polymorphic, which means each node can have several states, but obtains only a determined state in a determined loop, moreover a path which connects a pair of nodes can be different and have different...
The photovoltaic (PV) source simulators are widely used to test solar inverters, evaluate their control algorithms and study their grid integration issues in the laboratory settings. Many commercial programmable dc power supplies can be re-programed to be PV simulators. Due to the bulky output dc capacitors, the dynamic response and the bandwidth of these PV simulators are significantly limited, which,...
This study presents a robust estimation control technique of single stage grid connected solar PV (Photovoltaic) energy conversion system with distribution static synchronous compensator (DSTATCOM) capabilities. The estimated perturb and observe (EPO) based maximum power point tracking (MPPT) algorithm is used to obtain crest power from solar PV array under varying atmospheric conditions. The proposed...
With the fast development of cloud computing and online business of Internet, the importance of data center is gradually increasing. Conventional Ethernet protocols can hardly meet the scalability and performance requirements of data centers (DCs). The traditional method solves the congestion problem by reducing the network throughput. In this paper, based on software-defined networks (SDNs) technology,...
Neural networks along with expert adaptive regulators and systems with associative memory form the basis of intelligent technologies for information management and processing [1], [2]. This paper introduces an algorithm for the dynamic measurement error correction based on a neural network (NN) inverse model of a measuring transducer (MT). It uses the reduction principle in the compensating filter...
One of the important things in the dynamic measurements theory is the task of dynamically distorted signal restoration. The existing algorithms demand a bigger amount of machine time. In the project the numerical algorithm of the optimum dynamic measurement problem solution with the use of parallelization and linear splines is presented. A distinctive feature of the algorithm is that one was able...
The paper describes a new scalable algorithm called NSLP for high-dimension, non-stationary linear programming problem solving on the modern cluster computing systems. The algorithm consists of two phases: Quest and Targeting. The Quest phase calculates a solution for the system of inequalities defining the constraint system of the linear programming problem under the condition of the input data dynamic...
The technique of Projection Mapping, which is useful for merging real-world geometry with an augmented appearance, is a promising core technology for augmented reality (AR). In recent years, dynamically changing environments, mainly a consequence of the growing demand for interactive user experiences, have contributed to a new style of AR applications. However, performance levels of current systems...
In this paper we analyze the applicability of onion routing on Predictable Delay-Tolerant Networks. We show that a simple approach for providing anonymity through the application of a simple onion routing can be feasible in some scenarios. To that end we evaluate our proposal on a network based on a city public bus transportation network.
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