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3篇 您的检索式:作者名="Nurul Mu"
    题名 作者 年代 出处 被引量
1Least-Square Collaborative Beamforming Linear Array for Steering Capability in Green Wireless Sensor Networks显示文摘This paper presents a collaborative beamforming(CB) technique to organize the sensor node's location in a linear array for green wireless sensor network(WSN) applications. In this method, only selected clusters and active CB nodes are needed each time to perform CB in WSNs. The proposed least-square linear array(LSLA) manages to select nodes to perform as a linear antenna array(LAA), which is similar to and as outstanding as the conventional uniform linear array(ULA). The LSLA technique is also able to solve positioning error problems that exist in the random nodes deployment. The beampattern fluctuations have been analyzed due to the random positions of sensor nodes. Performances in terms of normalized power gains are given. It is demonstrated by a simulation that the proposed technique gives similar performances to the conventional ULA and at the same time exhibits lower complexity.NikNoordini NikAbdMali Mazlina Esa Nurul Mu'azzah Abdul Latiff 2016Journal of Electronic Science and Technology2016,14,2:1
2Zika virus infection and its emerging trends in Southeast Asia显示文摘Zika virus is a mosquito-borne flavivirus that represents a public health emergency at the ongoing epidemic.Previously,this rare virus was limited to sporadic cases in Africa and Asia until its emergence in Brazil,South America in 2015,where it rapidly spread throughout the world.Recently,a high number of cases were reported in Singapore and other Southeast Asia countries.A combination of factors explains the current Zika virus outbreak although it is highly likely that the changes in the climate and high frequency of travelling contribute to the spread of Aedes vector carrying the Zika virus mainly to the tropical climate countries such as the Southeast Asia.The Zika virus is known to cause mild clinical symptoms similar to those of dengue and chikungunya and transmitted by different species of Aedes mosquitoes.However,neurological complications such as Guillain-Barrésyndrome in adults,and congenital anomalies,including microcephaly in babies born to infected mothers,raised a serious concern.Currently,there is no specific antiviral treatment or vaccine available for Zika virus infection.Therefore,international public health response is primarily focused on preventing infection,particularly in pregnant women,and on providing up-to-date recommendations to reduce the risk of non-vector transmission of Zika virus.Ahmad Ruzain Salehuddin Haszianaliza Haslan Norshalizah Mamikutty Nurul Hannim Zaidun Mohamad Fairuz Azmi Mohamad Mu’izuddin Senin Syed Baharom Syed Ahmad Fuad Zar Chi Thent 2017Asian Pacific Journal of Tropical Medicine2017,10,3:1
3A Green Clustering Protocol for Mobile Sensor Network Using Particle Swarm Optimization显示文摘Energy consumption of sensor nodes is one of the crucial issues in prolonging the lifetime of wireless sensor networks. One of the methods that can improve the utilization of sensor nodes batteries is the clustering method. In this paper, we propose a green clustering protocol for mobile sensor networks using particle swarm optimization(PSO) algorithm. We define a new fitness function that can optimize the energy consumption of the whole network and minimize the relative distance between cluster heads and their respective member nodes. We also take into account the mobility factor when defining the cluster membership, so that the sensor nodes can join the cluster that has the similar mobility pattern. The performance of the proposed protocol is compared with well-known clustering protocols developed for wireless sensor networks such as LEACH(low-energy adaptive clustering hierarchy) and protocols designed for sensor networks with mobile nodes called CM-IR(clustering mobility-invalid round). In addition, we also modify the improved version of LEACH called MLEACH-C, so that it is applicable to the mobile sensor nodes environment. Simulation results demonstrate that the proposed protocol using PSO algorithm can improve the energy consumption of the network, achieve better network lifetime, and increase the data delivered at the base station.Nurul Mu'azzah Abdul Latiff NikNoordini NikAbdMalik Abdul Halim Abdul Latiff 2016Journal of Electronic Science and Technology2016,14,2:0
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