Computer networks and power transmission networks are treated as capacitated flow networks.A capacitated flow network may partially fail due to maintenance.Therefore,the capacity of each edge should be optimally assig...Computer networks and power transmission networks are treated as capacitated flow networks.A capacitated flow network may partially fail due to maintenance.Therefore,the capacity of each edge should be optimally assigned to face critical situations-i.e.,to keep the network functioning normally in the case of failure at one or more edges.The robust design problem(RDP)in a capacitated flow network is to search for the minimum capacity assignment of each edge such that the network still survived even under the edge’s failure.The RDP is known as NP-hard.Thus,capacity assignment problem subject to system reliability and total capacity constraints is studied in this paper.The problem is formulated mathematically,and a genetic algorithm is proposed to determine the optimal solution.The optimal solution found by the proposed algorithm is characterized by maximum reliability and minimum total capacity.Some numerical examples are presented to illustrate the efficiency of the proposed approach.展开更多
In the distributed networks,many applications send information from a source node to multiple destination nodes.To support these applications requirements,the paper presents a multi-objective algorithm based on ant co...In the distributed networks,many applications send information from a source node to multiple destination nodes.To support these applications requirements,the paper presents a multi-objective algorithm based on ant colonies to construct a multicast tree for data transmission in a computer network.The proposed algorithm simultaneously optimizes total weight(cost,delay and hop)of the multicast tree.Experimental results prove the proposed algorithm outperforms a recently published Multi-objective Multicast Algorithm specially designed for solving the multicast routing problem.Also,it is able to find a better solution with fast convergence speed and high reliability.展开更多
Chronological age estimation using panoramic dental X-ray images is an essential task in forensic sciences.Various statistical approaches have proposed by considering the teeth and mandible.However,building automated ...Chronological age estimation using panoramic dental X-ray images is an essential task in forensic sciences.Various statistical approaches have proposed by considering the teeth and mandible.However,building automated dental age estimation based on machine learning techniques needs more research efforts.In this paper,an automated dental age estimation is proposed using transfer learning.In the proposed approach,features are extracted using two deep neural networks namely,AlexNet and ResNet.Several classifiers are proposed to perform the classification task including decision tree,k-nearest neighbor,linear discriminant,and support vector machine.The proposed approach is evaluated using a number of suitable performance metrics using a dataset that contains 1429 dental X-ray images.The obtained results show that the proposed approach has a promising performance.展开更多
In this research,influence of adding Li_(2)CO_(3)(at 0%,2%,4%,6%)on electrical and magnetic properties of Ni_(0.6)Mg_(0.4)Fe_(2)O_(4)(with 60%Ni and 40%Mg)ferrite has been studied.The samples are prepared by solid sta...In this research,influence of adding Li_(2)CO_(3)(at 0%,2%,4%,6%)on electrical and magnetic properties of Ni_(0.6)Mg_(0.4)Fe_(2)O_(4)(with 60%Ni and 40%Mg)ferrite has been studied.The samples are prepared by solid state reaction method and sintered at 1300℃ for 6 h.X-ray diffraction(XRD)patterns show the samples belong to single-phase cubic structure without any impurity phase.The magnetic properties(saturation magnetization and coercivity)of the samples have been investigated by VSM and found that the higher concentration of Li_(2)CO_(3)reduces the hysteresis loss.DC resistivity increases with Li_(2)CO_(3)contents whereas it decreases initially and then becomes constant at lower value with temperature which indicates that the studied samples are semiconductor.The dielectric dispersion occurs at a low-frequency regime and the loss peaks are formed in a higher frequency regime,which are due to the presence of resonance between applied frequency and hopping frequency of charge carriers.Notably,the loss peaks are shifted to the lower frequency with Li_(2)CO_(3)additions.展开更多
文摘Computer networks and power transmission networks are treated as capacitated flow networks.A capacitated flow network may partially fail due to maintenance.Therefore,the capacity of each edge should be optimally assigned to face critical situations-i.e.,to keep the network functioning normally in the case of failure at one or more edges.The robust design problem(RDP)in a capacitated flow network is to search for the minimum capacity assignment of each edge such that the network still survived even under the edge’s failure.The RDP is known as NP-hard.Thus,capacity assignment problem subject to system reliability and total capacity constraints is studied in this paper.The problem is formulated mathematically,and a genetic algorithm is proposed to determine the optimal solution.The optimal solution found by the proposed algorithm is characterized by maximum reliability and minimum total capacity.Some numerical examples are presented to illustrate the efficiency of the proposed approach.
文摘In the distributed networks,many applications send information from a source node to multiple destination nodes.To support these applications requirements,the paper presents a multi-objective algorithm based on ant colonies to construct a multicast tree for data transmission in a computer network.The proposed algorithm simultaneously optimizes total weight(cost,delay and hop)of the multicast tree.Experimental results prove the proposed algorithm outperforms a recently published Multi-objective Multicast Algorithm specially designed for solving the multicast routing problem.Also,it is able to find a better solution with fast convergence speed and high reliability.
文摘Chronological age estimation using panoramic dental X-ray images is an essential task in forensic sciences.Various statistical approaches have proposed by considering the teeth and mandible.However,building automated dental age estimation based on machine learning techniques needs more research efforts.In this paper,an automated dental age estimation is proposed using transfer learning.In the proposed approach,features are extracted using two deep neural networks namely,AlexNet and ResNet.Several classifiers are proposed to perform the classification task including decision tree,k-nearest neighbor,linear discriminant,and support vector machine.The proposed approach is evaluated using a number of suitable performance metrics using a dataset that contains 1429 dental X-ray images.The obtained results show that the proposed approach has a promising performance.
文摘In this research,influence of adding Li_(2)CO_(3)(at 0%,2%,4%,6%)on electrical and magnetic properties of Ni_(0.6)Mg_(0.4)Fe_(2)O_(4)(with 60%Ni and 40%Mg)ferrite has been studied.The samples are prepared by solid state reaction method and sintered at 1300℃ for 6 h.X-ray diffraction(XRD)patterns show the samples belong to single-phase cubic structure without any impurity phase.The magnetic properties(saturation magnetization and coercivity)of the samples have been investigated by VSM and found that the higher concentration of Li_(2)CO_(3)reduces the hysteresis loss.DC resistivity increases with Li_(2)CO_(3)contents whereas it decreases initially and then becomes constant at lower value with temperature which indicates that the studied samples are semiconductor.The dielectric dispersion occurs at a low-frequency regime and the loss peaks are formed in a higher frequency regime,which are due to the presence of resonance between applied frequency and hopping frequency of charge carriers.Notably,the loss peaks are shifted to the lower frequency with Li_(2)CO_(3)additions.
