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Cluster,

Cluster,的相关文献在1986年到2022年内共计440篇,主要集中在肿瘤学、自动化技术、计算机技术、化学 等领域,其中期刊论文414篇、会议论文5篇、专利文献21篇;相关期刊212种,包括计算机科学、结构化学、中国科学等; 相关会议5种,包括第六届苏皖两省大气探测、环境遥感与电子技术学术交流研讨会、第一届中国传感器网络学术会议(CWSN 2007)、中国空间科学学会空间探测专业委员会第十三次学术会议等;Cluster,的相关文献由1091位作者贡献,包括Boris Sedunov、姜敏、曹凌云等。

Cluster,—发文量

期刊论文>

论文:414 占比:94.09%

会议论文>

论文:5 占比:1.14%

专利文献>

论文:21 占比:4.77%

总计:440篇

Cluster,—发文趋势图

Cluster,

-研究学者

  • Boris Sedunov
  • 姜敏
  • 曹凌云
  • 王泽新
  • 黄旭
  • 张积树
  • Andrew Kuznetsov
  • Angela Besana
  • G. S. Anagnostatos
  • Jianzhong Wang
  • 期刊论文
  • 会议论文
  • 专利文献

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    • Samir Haddad; Jinane Sayah; Bachar El-Hassan; Chadi Kallab; Mohamad Chakroun; Nisrine Turkey; Jinan Charafeddine; Hani Hamdan
    • 摘要: In this paper, a routing protocol for wireless sensor network, baptized energy based protocol (EBP) is proposed. Wireless sensor network presents many challenges and constraints, and one of the major constraints is the routing problem. Due to the limited energy of sensor nodes, routing in this type of network shall perform efficiently to maximize the network lifetime. One of the proposed algorithms is the directional source aware routing protocol (DSAP) which, after simulation, showed a lot of limitations and drawbacks. The modified directional source aware routing protocol (MDSAP) was proposed by the authors of this paper to address some of the DSAP’s limitations but remains limited to a fixed topology, fixed source and stationary nodes. So EBP is proposed and operated under different scenarios and showed, after its simulation using TinyOS, many advantages in terms of load balancing, free looping, minimizing packet error rate and maximizing network lifetime.
    • Rashmi Baid
    • 摘要: The coronavirus disease 2019(COVID-19)pandemic is the biggest pandemic of its kind in modern times,and has been running for over two years.It has grown exponentially from a cluster of unexplained cases of pneumonia in December 2019 to a full-grown pandemic[1].With a sharp ascending limb in its initial stages,it was announced by the World Health Organization as public health emergency of international concern on January 30,2020,subsequently acquiring the definition of a pandemic on March 11,2020.
    • Revanasiddappa Manjunatha; Li Dong; Zibo Zhai; Jianyi Wang; Qianru Fu; Wei Yan; Jiujun Zhang
    • 摘要: Rational design and synthesis of low-cost trifunctional electrocatalysts with improved stability and superior electrocatalytic activity for oxygen reduction reaction(ORR),oxygen evolution reaction(OER),and hydrogen evolution reaction(HER) are highly desirable but remain as the bottlenecks at the current state of technology.In this paper,the cobalt-iron(Co-Fe) composite supported on nitrogen-doped carbon nanotubes(CoFe composite/NCNTs) is synthesized.The intrinsic OER and HER catalytic activities of this CoFe composite/NCNTs composite are significantly improved with palladium(Pd) nanocluster decoration [Pd-coated(CoFe composite/NCNTs)].The as-prepared Pd-coated(CoFe composite/NCNTs) catalyst exhibits excellent trifunctional electrocatalytic activity and stability due to the interfacial coupling between Pd and(CoFe composite/NCNTs).This catalyst is successfully employed in the water electrolysis cell as both OER and HER electrode catalysts,flexible rechargeable Zn-air battery as the bifunctional ORR and OER electrode catalyst.The cell voltage of this catalyst-coated electrodes requires only 1.60 V to achieve 10 mA cm^(-2) current density for water electrolysis cell,which is comparable to and even better than that of Pt/C and Ir/C based cell.The primary Zn-air battery using this catalyst shows a constant high open-circuit voltage(OCV) of 1.47 V and a maximum power density of 261 mW cm^(-2) in the flooded mode configuration.Most importantly,a flexible Zn-air battery with this catalyst runs very smoothly without a change in voltage gap during flat,bending,and twisting positions.
    • Ying Wang; Yamin Qi; Maohong Fan; Baojun Wang; Lixia Ling; Riguang Zhang
    • 摘要: C_(2)H_(2)semi-hydrogenation has been widely applied in industry to eliminate trace C_(2)H_(2)from C_(2)H_(4)feed.C_(2)H_(2)semi-hydrogenation to C_(2)H_(4)on a series of the newly designed catalysts,graphdiyne(GDY)as a new carbon allotrope supported different sizes of Pd_(x)M_(y)clusters(Pd_(x)M_(y)/GDY,M=Cu,Ag,Au,Ni;x+y=1-3),were studied using DFT calculations.The results found that C_(2)H_(2)semi-hydrogenation to C_(2)H_(4)on Pd_(x)M_(y)/GDY catalysts exhibits that both the activity and selectivity greatly depend on the composition and size of Pd_(x)M_(y)/GDY catalysts.Surprisingly,our results for the first time discovered the Pd_(1)/GDY catalyst with GDY supported the single atom Pd that presents the best selectivity and activity toward C_(2)H_(4)formation compared to the previously reported catalysts so far in C_(2)H_(2)semi-hydrogenation.This study would provide a theoretical clue for designing and screening out the potential catalysts with GDY supported small sizes of Pd_(x)M_(y)and other metal clusters in C_(2)H_(2)hydrogenation.
    • EHIZUELEN MICHAEL MITCHELL OMORUYI
    • 摘要: With their respective strengths and advantages, Greater Bay Area cities together make it an unmatched economic cluster China’s fastest growing economic cluster-the Guangdong-Hong Kong-Macao Greater Bay Area(GBA)-is a dynamic industrial and technological center of more than 70 million people(100 million expected by 2035) with a total GDP of $2.01 trillion(2021).
    • 摘要: Three years after the State Council of China issued the Outline Development Plan for the Guangdong-Hong KongMacao Greater Bay Area, the most dynamic metropolis cluster in China has taken on a new look, with greater development potential, greater economic aggregation, and greater economic strength.
    • Shuang FENG; CLPhilip CHEN
    • 摘要: Dear editor,Neural networks (NNs) and fuzzy systems are commonly used computational intelligence techniques, each with their own merits in terms of applications. The integration of NNs and fuzzy systems, which leads to a hybrid framework known as neuro-fuzzy systems, inherits the useful properties of its constituents:the learning power of an NN and the knowledge representation of a fuzzy inference system。
    • Hai-Ying Wang; Shu-Rong Li; Xing Wang; La-Sheng Long; Xiang-Jian Kong; Lan-Sun Zheng
    • 摘要: The construction of inorganic porous frameworks from discrete polyoxometalate(POM)units is a major research challenge.Herein,a three-dimensional(3D)all-inorganic porous structure{Mo_(154)}_n that consists of classic Mo_(154)rings connected by Mo–O–Mo covalent bonds was synthesized.Interestingly,the proton conductivity of the 3D-{Mo_(154)}_n framework is 1.1×10^(-2)S cm^(-1)at 22°Cand 100%relative humidity(RH),which is one of the highest proton conductivities reported thus far for POM-based conductive materials.Compared to the discrete{Mo_(154)}cluster and 1D-{Mo_(154)}_n,the enhanced conductivity of 3D-{Mo_(154)}_n suggests that assembling POM-based all-inorganic porous frameworks is a promising method for designing proton-conductive materials.
    • Wei Zhao; Lei He; Xing-Zhi Xie; Xuan Liao; De-Jun Tong; Shang-Jie Wu; Jun Liu
    • 摘要: BACKGROUND The onset symptoms of people infected by Chlamydia psittaci can mimic the coronavirus disease 2019(COVID-19).However,the differences in laboratory tests and imaging features between psittacosis and COVID-19 remain unknown.AIM To better understand the two diseases and then make an early diagnosis and treatment.METHODS Six patients from two institutions confirmed as psittacosis by high-throughput genetic testing and 31 patients confirmed as COVID-19 were retrospectively included.The epidemiology,clinical characteristics,laboratory tests and computed tomography(CT)imaging features were collected and compared between the two groups.The follow-up CT imaging findings of patients with psittacosis were also investigated.RESULTS The white blood cell count(WBC),neutrophil count and calcium were more likely to be decreased in patients with COVID-19 but were increased in patients with psittacosis(all P=0.000).Lymphocyte count and platelet count were higher in patients with psittacosis than in those with COVID-19(P=0.044,P=0.035,respectively).Lesions in patients with psittacosis were more likely to be unilateral(P=0.001),involve fewer lung lobes(P=0.006)and have pleural effusions(P=0.002).Vascular enlargement was more common in patients with COVID-19(P=0.003).Consolidation in lung CT images was absorbed in all 6 patients.CONCLUSION Psittacosis has the potential for human-to-human transmission.Patients with psittacosis present increased WBC count and neutrophil count and have specific CT imaging findings,including unilateral distribution,less involvement of lung lobes and pleural effusions,which might help us to differentiate it from COVID-19.
    • Mahmood ul Hassan; Amin Al-Awady; Khalid Mahmood; Shahzad Ali; Ibrahim Algamdi; Muhammad Kashif Saeed; Safdar Zaman
    • 摘要: Wireless Sensor Networks(WSNs)are an integral part of the Internet of Things(IoT)and are widely used in a plethora of applications.Typically,sensor networks operate in harsh environments where human intervention is often restricted,which makes battery replacement for sensor nodes impractical.Node failure due to battery drainage or harsh environmental conditions poses serious challenges to the connectivity of the network.Without a connectivity restoration mechanism,node failures ultimately lead to a network partition,which affects the basic function of the sensor network.Therefore,the research community actively concentrates on addressing and solving the challenges associated with connectivity restoration in sensor networks.Since energy is a scarce resource in sensor networks,it becomes the focus of research,and researchers strive to propose new solutions that are energy efficient.The common issue that is well studied and considered is how to increase the network’s life span by solving the node failure problem and achieving efficient energy utilization.This paper introduces a Clusterbased Node Recovery(CNR)connectivity restoration mechanism based on the concept of clustering.Clustering is a well-known mechanism in sensor networks,and it is known for its energy-efficient operation and scalability.The proposed technique utilizes a distributed cluster-based approach to identify the failed nodes,while Cluster Heads(CHs)play a significant role in the restoration of connectivity.Extensive simulations were conducted to evaluate the performance of the proposed technique and compare it with the existing techniques.The simulation results show that the proposed technique efficiently addresses node failure and restores connectivity by moving fewer nodes than other existing connectivity restoration mechanisms.The proposed mechanism also yields an improved field coverage as well as a lesser number of packets exchanged as compared to existing state-of-the-art mechanisms.
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