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SEVENTH INTERNATIONAL SYMPOSIUM ON NEGATIVE IONS, BEAMS AND SOURCES (NIBS 2020)最新文献

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Analyze and develop a model for sentimental reviews of e-government services using deep learning algorithms with CNN framework 使用CNN框架的深度学习算法分析和开发电子政务服务情感评论模型
S. Alagumuthukrishnan, A. Nirmalkumar, G. Devi
Nowadays the government can introduce many new schemes through online and uploaded in their official web portal. Publics can able to access and avail those facilities on internet by reading news and notifications of such schemes. In order to improve their governance the reviews of the public will be very significant. Since these reviews will help the government to take better decisions. By achieving this, the government may get peoples reviews about such schemes. In the existing system reviews such as manual, oral and somewhere online modes were available for facilitating e-government services. But Artificial Intelligence based techniques like facial recognition and sentimental reviews of the public is not incorporated in the current scenario. So in order to facilitate the government to provide better decision the software based deep learning algorithm called Convolution Neural Networks (CNN) is implemented to analysing the sentimental reviews of e-Government services. In this framework three models were developed to implement a concept of multiple CNN models in which first model can recognize people’s hand written digits, second model can detect sentiments from text sentence which can be given by people about government services, third model can detect sentiment from person face image. This paper involves analyze some of the applications to make the user friendly. In order to make the application more accessible and navigations the well-suited browser, need to be selected. The navigations could be done from one screen to the other in sequence and also help the users to reduce the typing action. Using this method, we can reduce the human interventions in the analysing the reviews and consolidated the result which specifies the overall conclusion of the service.
如今,政府可以通过在线介绍许多新方案,并将其上传到官方门户网站。市民可透过互联网浏览有关计划的新闻和通知,使用这些设施。为了改善他们的治理,公众的评论将是非常重要的。因为这些审查将有助于政府做出更好的决定。通过实现这一点,政府可能会得到人们对这些计划的评价。在现有的系统检讨中,有手动、口头和网上等模式,以促进电子政府服务。但基于人工智能的技术,如面部识别和公众的情感评论,并没有被纳入当前的场景。因此,为了方便政府提供更好的决策,采用基于软件的深度学习算法卷积神经网络(CNN)对电子政务服务的情感评价进行分析。在这个框架中,我们开发了三个模型来实现一个多CNN模型的概念,其中第一个模型可以识别人们手写的数字,第二个模型可以从人们给出的关于政府服务的文本句子中检测情感,第三个模型可以从人脸图像中检测情感。本文对其中的一些应用程序进行了分析,使其对用户更加友好。为了使应用程序更易于访问和导航适合的浏览器,需要选择。导航可以按顺序从一个屏幕切换到另一个屏幕,也可以帮助用户减少输入操作。使用该方法,我们可以减少分析评论时的人为干预,并整合指定服务总体结论的结果。
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引用次数: 0
Design of an efficient crank shaft for four wheeler passenger vehicle by using FEA 用有限元法设计四轮乘用车高效曲轴
N. Prabhakar, S. S. Kumar, K. Rao
Crankshaft plays a vital role to transform reciprocating motion into rotary motion. The design and analysis of the crankshaft is very important to improve the performance of I.C. Engine. In general the crankshaft is subjected to different pressure loads with respect to crank angle, therefore design and analysis of the crankshaft is important to increase the life of the four stroke engine. The main objective of this paper is to increase the life of the crankshaft of four stroke diesel engine by changing the main bearing diameter and crank web height in the existing design. The design was done by using CATIA software and analysis was done by using ANSYS. Two types of analysis, i.e. modal analysis and fatigue analysis have been carried out.
曲轴是将往复运动转化为旋转运动的关键。曲轴的设计与分析对提高内燃机的性能具有重要意义。一般情况下,曲轴承受不同曲轴角的压力载荷,因此对曲轴的设计和分析对提高四冲程发动机的寿命具有重要意义。本文的主要目的是通过改变现有设计中的主轴承直径和曲柄腹板高度来提高四冲程柴油机曲轴的寿命。采用CATIA软件进行设计,ANSYS软件进行分析。进行了两种分析,即模态分析和疲劳分析。
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引用次数: 0
High-speed hybrid tree multiplier hardware using modified Wallace and Dadda method 高速混合树倍增器硬件采用改进的Wallace和Dadda方法
Rashmi Samanth, S. Pooja, S. G. Nayak
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引用次数: 1
Analysis of composite adsorber with graphite nanofiber based nanofluid as coolant 以石墨纳米纤维基纳米流体为冷却剂的复合吸附剂分析
Vaibhav N. Deshmukh, S. Radhakrishnan, R. Kulkarni
The use of composite adsorbent with nano particle additives having high surface area can lead to enhanced heat transfer, higher adsorption capacity and faster rate leading to better adsorber performance. The objectives of the present study were to investigate the effectiveness of nanofluid as a cooling fluid of a composite adsorber by carrying out nanofluid characterization and to investigate adsorption-desorption characteristics of a composite adsorbent for ammonia as an adsorbate.An experimental set up with tube-in-tube type configuration was constructed to monitor the thermal characteristics (heat transfer from and to the adsorber) and ammonia adsorption/desorption rates. The composite of calcium chloride with activated carbon and expanded graphite nanoparticles was made having different concentrations of CaCl2 ranging from 40 % to 80 % in the composite and expanded natural graphite (ENG) content ranging from 0-3 % by weight. The desorption characteristics were studied at different temperatures from 70° C to 110° C. The cooling fluid with and without graphite nanofibers (GNF) was circulated in the inner tube at different flow rates from 5 LPH to 25 LPH.From the experimentation on adsorption-desorption characteristics, it was found that the total amount of ammonia adsorbed increased from 133 g for 50:50 composition of CaCl2:AC to 156 g for CaCl2:AC composition of 50:50 with the addition of 3 % ENG nanoparticles. Also the adsorption process time reduced from 22 minutes to 18 minutes. For 50 % CaCl2 in the composite the temperature at which the maximum desorption occurred was 70°C.So, desorption could occur at lower temperature, which is advantageous as it increases the number of options for heat sources to be used. When nanofluid was used as a cooling fluid of the composite adsorber, the total amount of ammonia adsorbed increased from 79.411 g for basefluid to 90.206 g for 0.4 % graphite nanofiber nanofluid for flow rate of 25 LPH. With the use of composite adsorbent of CaCl2:AC of 50:50 composition and addition of expanded natural graphite (ENG) by 3% and when 0.4 % graphite nanofiber nanofluid was used as a cooling fluid, the maximum ammonia was adsorbed up to the bed length of 600 mm only out of the total bed length of 1 m indicating the possibility of reduction in the size of an adsorber.
复合吸附剂与具有高表面积的纳米颗粒添加剂的使用可以增强传热,提高吸附容量和更快的吸附速率,从而获得更好的吸附性能。本研究的目的是通过纳米流体表征来研究纳米流体作为复合吸附剂冷却流体的有效性,并研究复合吸附剂作为吸附物对氨的吸附-解吸特性。建立了一个管中管型的实验装置,以监测热特性(从吸附器到吸附器的传热)和氨吸附/解吸速率。制备了氯化钙、活性炭和纳米膨胀石墨的复合材料,复合材料中CaCl2的浓度为40% ~ 80%,膨胀天然石墨(ENG)的含量为0 ~ 3%(重量计)。在70℃~ 110℃的不同温度下,研究了石墨纳米纤维(GNF)和不含石墨纳米纤维(GNF)的冷却液在管内以5 ~ 25 LPH的不同流速循环。通过吸附-解吸特性实验发现,添加3% ENG纳米颗粒后,CaCl2:AC比例为50:50时,氨的吸附总量由133 g增加到156 g。吸附过程时间由22分钟缩短至18分钟。当CaCl2含量为50%时,复合材料的最大解吸温度为70℃。因此,解吸可以在较低的温度下进行,这是有利的,因为它增加了可供选择的热源的数量。当纳米流体作为复合吸附器的冷却流体时,当流量为25 LPH时,基液的氨吸附总量从79.411 g增加到0.4%石墨纳米纤维纳米流体的90.206 g。采用50:50的CaCl2:AC复合吸附剂,添加3%的膨胀天然石墨(ENG),并以0.4%的石墨纳米纤维纳米流体作为冷却液,在1 m的总床长中,最大氨被吸附到600 mm,这表明吸附器尺寸有缩小的可能性。
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引用次数: 1
Design and analysis of head expander of electrodynamic shaker for vibration testing 振动试验用电动振动筛头部膨胀器的设计与分析
Vinod Kumar Bandu, Venkata Narayana Yenugula, B. Shirish
Design of Head Expander (HE) for environmental vibration testing components with a required test frequency range has become very important, because it is an interface between electrodynamics vibration shaker and test specimen. The HE subjected to resonant and anti-resonant frequencies due to limitations of mass/stiffness properties. The random vibration and harmonic analysis of existing Head Expander was carried out and validated with tested results in the present work. The proposed new features Head Expander is designed by introducing three different hole-patterns which accommodates the different configurations of work pieces for vibration testing. Modal analysis, random vibration and harmonic analysis were carried out using generalized finite element software, ANSYS. The GRMS values of proposed HE design are compared with GRMS values of NAVMAT P-9492 work and found satisfactory.
环境振动试验部件的头部膨胀器(HE)是电动力激振器与试验试样之间的接口,其设计具有要求的测试频率范围变得非常重要。由于质量/刚度特性的限制,HE受到谐振和反谐振频率的影响。本文对现有膨胀机进行了随机振动和谐波分析,并与试验结果进行了验证。提出的新功能头部膨胀机的设计引入了三种不同的孔模式,以适应不同配置的工件进行振动测试。采用通用有限元软件ANSYS进行了模态分析、随机振动分析和谐波分析。将提出的HE设计的GRMS值与NAVMAT P-9492工作的GRMS值进行了比较,结果令人满意。
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引用次数: 0
The data intactness of efficient audit service outsourcing for data integrity in clouds 将数据完整性高效的审计服务外包给云中的数据完整性
U. Veeresh, G. Kumar, S. Asif
The cloud is the web-based computer which allows services to be exchanged. It enables users to use the application on any device with internet or intranet access without having an application installed and allows users to access their personal files and applications. Many people have recently used databases to store their data in the cloud. This is useful because it helps users to save data and allows users to access it anywhere and anywhere. The cloud has changed the way applications and databases are saved. Nowadays, running computing servers are stored in cloud computing. The main consideration of cloud information storage is the protection of cloud-specified information. The modern phenomenon used to store and handle data without investments in resources created many security problems that do not seem fully understood. This article focuses on cloud server information security and integrity. A third-party investigator is completed with the verification of data integrity who can sporadically check data integrity on behalf of his consumers.
云是一种基于网络的计算机,它允许服务交换。它使用户可以在任何具有internet或intranet访问的设备上使用该应用程序,而无需安装应用程序,并允许用户访问他们的个人文件和应用程序。最近,许多人使用数据库将数据存储在云中。这很有用,因为它可以帮助用户保存数据,并允许用户随时随地访问数据。云改变了应用程序和数据库的保存方式。如今,运行的计算服务器都存储在云计算中。云信息存储的主要考虑因素是对云指定信息的保护。用于存储和处理数据而不投资资源的现代现象造成了许多似乎尚未完全理解的安全问题。本文主要关注云服务器信息的安全性和完整性。第三方调查员完成了数据完整性的验证,他可以代表他的消费者偶尔检查数据完整性。
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引用次数: 0
Research activities of RF-based negative ion source in the ASIPP ASIPP中射频负离子源的研究活动
Yahong Xie, Hu Chundong, Wei Jianglong, Gu Yuming, Jiang Caichao, Yongjian Xu, Liang Lizhen, Yuanzhe Zhao, Xie Yuanlai
The Comprehensive Research Facility for Fusion Technology (CRAFT) is a large scientific programme that is preferentially deployed for the construction of major national science and technology infrastructures. A negative ion-based neutral beam injector (NNBI) with beam energy of 400 keV, beam power of 2 MW and beam duration of 100 s is one of the projects. A radio frequency (RF) based negative beam source was designed for the CRAFT NNBI system. In order to understand the physics and pre-study the engineering problems for RF negative beam sources, a prototype source with a single driver was developed. Recently, this source was tested on a test facility with RF plasma generation, negative ion production and extraction. The long pulse plasma discharge and negative ion beam extraction with a three electrode accelerator were achieved successfully. The extracted ion current is 153 A/m2 with Cs injection and the ratio of electrons to negative ions is around 0.3. It lays good foundations for the R&D of negative ion sources for the CRAFT NNBI system. The details of design and experimental results of the beam source are given in this paper.
聚变技术综合研究设施(CRAFT)是一项大型科学计划,优先部署用于建设国家重大科技基础设施。负离子基中性束注入器(NNBI)的束流能量为400 keV,束流功率为2 MW,束流持续时间为100 s。为CRAFT NNBI系统设计了一种基于射频的负波束源。为了了解射频负波束源的物理特性和预研究其工程问题,研制了单驱动器射频负波束源原型。最近,该源在射频等离子体产生、负离子产生和提取的测试设备上进行了测试。在三电极加速器上成功地实现了长脉冲等离子体放电和负离子束提取。注入Cs后提取的离子电流为153 A/m2,电子负离子比约为0.3。为CRAFT NNBI系统负离子源的研发奠定了良好的基础。文中给出了光束源的详细设计和实验结果。
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引用次数: 0
COVID-19 image classification techniques in medical analysis using deep representations 医学分析中基于深度表征的COVID-19图像分类技术
Morarjee Kolla, H. R. Rao, N. Kumar
Covid-19 is a fast-growing disease that affects human health with contacts nowadays. The medical community has not found any vaccine for immediate use, and some countries recently released vaccines. The human health and financial status of various countries spoiled recently with this virus. COVID-19 vaccine research is at the clinical trial stage in many countries. Mainly this disease affects the lungs of the patients. Recently deep learning approaches are widely using in radiographic image classifications with large-scale data. Convolutional Neural Networks (CNN) are widely used to diagnose COVID-19 pneumonia classification on Chest radiographic images to help radiologists in medical analysis. Recently some researchers developed tools to detect the virus, and they reduce the time of chest X-ray interpretation. This article discusses methods that can help protect themselves from those already infected with the virus by classifying the large-scale radiographic images with deep learning models. This study compares various methodologies and observes exciting insights for future research directions. © 2021 Author(s).
Covid-19是当今一种快速发展的疾病,通过接触影响人类健康。医学界还没有找到任何可以立即使用的疫苗,一些国家最近发布了疫苗。最近,这种病毒破坏了各国的人类健康和财政状况。COVID-19疫苗研究在许多国家处于临床试验阶段。这种疾病主要影响患者的肺部。近年来,深度学习方法被广泛应用于具有大规模数据的放射图像分类中。卷积神经网络(CNN)被广泛用于胸片图像上的COVID-19肺炎分类诊断,以帮助放射科医生进行医学分析。最近,一些研究人员开发了检测这种病毒的工具,减少了胸部x光检查的时间。本文讨论了通过深度学习模型对大规模放射图像进行分类,可以帮助保护自己免受已经感染病毒的人的方法。本研究比较了各种研究方法,并对未来的研究方向提出了令人振奋的见解。©2021作者。
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引用次数: 0
Plasma electrode shape suitable for plasma electrode performance study 等离子体电极形状适合于等离子体电极性能的研究
K. Bito, M. Sasao, M. Kisaki, M. Wada
A compact ECR ion source was used to investigate the effect that the shape of the plasma electrode (PE) has on the surface production of negative hydrogen (H−) ions. A C12A7 electride PE produced ten times more H-ion current compared with a molybdenum (Mo) PE of the identical design. Four times more H- ion current was obtained when the ion source plasma faces the 45-degree tapered hole opened on the surface of the electride PE as compared to the current obtained from a plasma facing the flat side of the PE. This enhancement in H- ion current may indicate larger surface production of H− ions by the enlarged surface area. A Mo PE also showed a similar effect but with less pronounced H- ion current enhancement. A beam trajectory study showed that the beam divergence was larger when the source plasma faced against the tapered side of the PE.
采用紧凑型ECR离子源研究了等离子体电极(PE)形状对负氢离子(H−)表面生成的影响。与相同设计的钼(Mo) PE相比,C12A7电极PE产生的氢离子电流多十倍。当离子源等离子体面向电极PE表面的45度锥形孔时,获得的氢离子电流是面向PE平侧等离子体获得的电流的四倍。这种氢离子电流的增强可能表明,由于表面积的扩大,氢离子的表面产量增加了。A Mo PE也表现出类似的效果,但氢离子电流增强不明显。束流轨迹研究表明,当源等离子体朝向PE的锥形侧时,束流发散更大。
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引用次数: 0
Investigation of the population density of excited atomic hydrogen in negative hydrogen ion sources based on a collisional-radiative model 基于碰撞辐射模型的负氢离子源中受激氢原子的居群密度研究
Z. Li, D. Li, J. Yang, P. Chen, C. Zuo, F. Song, D. Chen
Collisional-radiative (CR) models are useful to analyze the dynamic process of excited states and support the interpretation of excited population densities measured for example by optical emission spectroscopy (OES). A CR model of atomic hydrogen is described, in which the population densities of the excited states are coupled to the densities of ground state H, H2 and H2+. The three coupling channels, namely excitation of H, dissociative excitation of H2 and dissociative recombination of H2+, usually account for the main contributions to the excited hydrogen atoms in cesium free negative hydrogen ion sources. The population densities of excited hydrogen atom are presented for each channel. They have a similar dependence on electron density for the three channels. Furthermore, the influences of varying electron energy distribution function (EEDF) on the excited state density are discussed. Finally, the described CR model is applied to OES in an ICP hydrogen discharge and the estimated plasma parameters are given.
碰撞辐射(CR)模型有助于分析激发态的动态过程,并支持对发射光谱(OES)等测量的激发态密度的解释。描述了原子氢的CR模型,其中激发态的居群密度与基态H、H2和H2+的密度耦合。在无铯负氢离子源中,氢的激发、H2的解离激发和H2+的解离重组这三个耦合通道通常是激发氢原子的主要原因。给出了每个通道中受激氢原子的居群密度。它们对三个通道的电子密度有相似的依赖性。进一步讨论了电子能量分布函数的变化对激发态密度的影响。最后,将所描述的CR模型应用于ICP氢放电中的OES,并给出了估计的等离子体参数。
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引用次数: 1
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SEVENTH INTERNATIONAL SYMPOSIUM ON NEGATIVE IONS, BEAMS AND SOURCES (NIBS 2020)
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