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Brain Tumor Segmentation through Level Based Learning Model

computer Systems Science & Engineering 2023年第1期44卷 709-720页

作者： k.Dinesh Babu c.Senthil Singh Department of Electronics and communication Engineering Adhi College of Engineering and Technology631605India Department of Electronics and communication Engineering Infant Jesus College of EngineeringVallanaduThoothukudi628851India

Brain tumors are potentially fatal presence of cancer cells over a human brain,and they need to be segmented for accurate and reliable planning of *** process must be carried out in different regions based on which the stages of cancer can be accurately *** patients exhibit a different level of challenge in terms of cancer or tumors detection as the Magnetic Resonance Imaging(MRI)images possess varying sizes,shapes,positions,and *** scanner used for sensing the location of tumors cells will be sub-jected to additional protocols and measures for accuracy,in turn,increasing the time and affecting the performance of the entire *** this view,convolutional Neural Networks deliver suitable models for efficient segmentation and thus delivered promising *** previous strategies and models failed to adhere to diversity of sizes and shapes,proving to be a well-established solution for detecting tumors of bigger *** tend to be smaller in size and shape during their premature stages and they can easily evade the algorithms of convolutional Neural Network(cNN).This proposal intends to furnish a detailed model for sensing early stages of cancer and hence perform segmentation irrespective of the current size and shape of *** size of networks and layers will lead to a significant weightage when multiple kernel sizes are involved,especially in multi-resolution *** the other hand,the proposed model is designed with a novel approach including a dilated convolution and level-based learning *** the convolution process is dilated,the process of feature extraction deals with multiscale objective and level-based learning eliminates the shortcoming of previous models,thereby enhancing the quality of smaller tumors cells and *** level-based learning approach also encapsulates the feature recon-struction processes which highlights the sensing of small-scale tumors ***,segmenting t

关键词： Glioma detection segmentation smaller tumour growth machine learning feature analysis

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Seasonal variation of caligus rotundigenitalis infestation on the host fish Etroplus suratensis from the cochin Backwaters,southwest coast of India

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Acta Oceanologica Sinica 2022年第6期41卷 132-136页

作者： Jemi Job N A A Mohamed Hatha c k Radhakrishnan Department of Marine Biology Microbiology and BiochemistrySchool of Marine SciencesCochin University of Science and TechnologyCochin 682016India

Investigation of four edible fishes(Etroplus suratensis,Oreochromis mossambicus,Lates calcarifer,chanos chanos)collected from a fish landing center along cochin Backwaters has done for caligid *** these,caligids were detected only from Etroplus suratensis and was identified to be caligus *** were attached to the inner side of operculum of host which indicates strong site *** annual observation of prevalence,mean intensity and abundance were found to be 19.21%,1.051 and 0.202 *** of prevalence with respect to the different length groups of *** has discussed in this *** of the inner side of operculum and increase in mucous production were noticed as a result of copepod attachment.

关键词： caligidae caligus rotundigenitalis copepod crustacean parasites Etroplus suratensis

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Effects of Boron Nitride Nanopowder on Thermal, chemical and Gas Barrier Properties of Starch

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chinese Journal of Polymer Science 2014年第10期32卷 1311-1318页

作者： Gopal c. Pradhan Lingaraj Behera Sarat k. Swain Department of chemistry North Orissa University Takatpur Baripada 757003 India Department of chemistry Veer Surendra Sai University of Technology Burla Sambalpur 768018 India

Starch/boron nitride （starch/BN） bionanocomposites were prepared with the reinforcement of boron nitride nano powder by solution technique. The dispersion of BN in the starch was achieved by a continuous sonication process. The interaction between starch and boron nitride nanopowder was investigated by Fourier transform infrared （FTIR） spectroscopy. The structural properties of starch/BN bionanocomposites was studied by X-ray diffraction （XRD）. The high resolution transmission electron microscopy （HRTEM） was used for the study of dispersion of boron nitride in starch matrix and diffraction patterns were studied by selected area electron diffraction （SAED）. Thermal stability of the starch was increased with rising concentrations of boron nitride due to incorporation of rigid nano BN with starch matrix. The substantial reduction in oxygen permeability was obtained by increasing the concentration of BN. The biodegradability of synthesized bionanocomposites was measured by using activated sludge water. Further, it was noticed that, starch/BN bionanocomposites are resistant towards inorganic acids and bases. The tensile strength of starch/BN bionanocomposites was increased whereas; the water resistance property of the materials was decreased with increasing BN loading.

关键词： Starch Boron nitride Bionanocomposites Oxygen permeability.

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Fabrication,characterization and optimization of high conductivity and high quality nanocrystalline molybdenum thin films

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Journal of Materials Science & Technology 2019年第11期35卷 2734-2741页

作者： Anil k.Battu Nanthakishore Makeswaran c.V.Ramana center for Advanced Materials Research(cMR) University of Texas at El PasoEl PasoTX 79968USA Environmental Molecular Sciences Laboratory(EMSL) Pacific Northwest National Laboratory(PNNL)RichlandWA 99352USA

The present study investigated the influence of substrate temperature(Ts)and working pressure(P(Ar))on tailoring the properties of nanocrystalline(nc)molybdenum(Mo)films fabricated by radio-frequency magnetron *** structural,morphological,electrical and optical properties of nc-Mo films were evaluated in *** Mo films exhibited(110)orientation with average crystallite size varying from 9 to 22(±1)nm on increasing *** with structural data,the electrical resistivity decreased from 55μΩcm to 10μΩcm,which is the lowest among all the Mo *** Mo films deposited under variable P(Ar).the(110)peak intensity decrement coupled with peak broadening on increasing P(Ar).Lower deposition pressure yielded densely packed thin films with superior structural properties along with low resistivity of 15μΩ*** conditions to produce high quality Mo films with excellent structural,morphological,electrical and optical characteristics for utilization in solar cells as back contact layers were identified.

关键词： Molybdenum Thin films Microstructure Electrical characteristics Optical properties Solar cells

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cFD Simulation of a Hydrogen/Argon Plasma Jet Reactor for coal Pyrolysis

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chemical Research in chinese Universities 2004年第4期20卷 446-451页

作者： cHEN H. G. XIE k. c. Taiyuan University of Technology Taiyuan University of Technology Taiyuan 030024 P. R. China City University London EC1V 0HB UKand Taiyuan 030024 P. R. China

A computational Fluid Dynamics(cFD) model was formulated for Dc arc hydrogen/argon plasma jet reactors used in the process of the thermal H_2/Ar plasma pyrolysis of coal to acetylene. In this model, fluid flow, convective heat transfer and conjugate heat conductivity are considered simultaneously. The error caused by estimating the inner-wall temperature of a reactor is avoided. The thermodynamic and transport properties of the hydrogen/argon mixture plasma system, which are usually expressed by a set of discrete data, are fitted into expressions that can be easily implemented in the program. The effects of the turbulence are modeled by two standard k-εequations. The temperature field and velocity field in the plasma jet reactor were calculated by employing SIMPLEST algorithm. The knowledge and insight obtained are useful for the design improvement and scale-up of plasma reactors.

关键词： Plasma Reactor computational fluid dynamics coal pyrolysis

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Residential building performance analysis at near extreme weather conditions in Hong kong through a thermal-comfort-based strategy

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Building Simulation 2023年第1期16卷 13-25页

作者： k.F.Fong c.k.Lee kevin ka-Lun Lau Edward Yan Yung Ng Division of Building Science and Technology College of EngineeringCity University of Hong KongHong KongChina Department of civil Engineering and Natural Resources Lulea University of TechnologySweden School of Architecture The Chinese University of Hong KongHong KongChina

The precise building performance assessment of residential housings in subtropical regions is usually more difficult than that for the commercial premises due to the much more complicated behavior of the occupants with regard to the change in indoor *** conventional use of a fixed schedule for window opening,clothing insulation and cooling equipment operation cannot reflect the real situation when the occupants respond to the change in thermal comfort,thus affecting the appropriateness of the assessment *** rectify the situation,a new modeling strategy in which the modification of the various operation schedules was based on the calculated thermal comfort(Tc),was developed in this *** this new Tc-based strategy,the realistic building performances under different cooling provision scenarios applied to a high-rise residential building under the near extreme weather conditions were investigated and *** was found that sole provision of ventilation fans could not meet the zone thermal comfort by over 68%of the time,and air-conditioning was *** optimal use of ventilation fans for cooling could only help reduce the total cooling energy demand by less than 12%at best which could only be realistically evaluated by adopting the present *** studies were conducted which revealed that some design factors could offer opportunities for reducing the total cooling energy under the near extreme weather conditions.

关键词： predicted mean vote thermal comfort ventilation potential building performance simulation residential housings

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AR-assisted robot welding programming

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Advances in Manufacturing 2020年第1期8卷 40-48页

作者： S.k.Ong A.Y.c.Nee A.W.W.Yew N.k.Thanigaivel Department of Mechanical Engineering Faculty of EngineeringNational University of SingaporeSingapore

Robotic welding demands high accuracy and ***,robot programming is often a tedious and time-consuming process that requires expert *** paper presents an augmented reality assisted robot welding task programming(ARWP)system using a user-friendly augmented reality(AR)interface that simplifies and speeds up the programming of robotic welding *** ARWP system makes the programming of robot welding tasks more user-friendly and reduces the need for trained programmers and expertise in specific robotic *** AR interface simplifies the definition of a welding path as well as the welding gun orientation,and the system;the system can locate the welding seam of a workpiece quickly and generate a viable welding path based on the user *** developed system is integrated with the touch-sensing capability of welding robots in order to locate the welding path accurately based on the user input,for fillet *** system is applicable to other welding processes and methods of seam *** system implementation is described and evaluated with a case study.

关键词： Augmented reality(AR) Robot programming Welding Seam tracking

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A Novel Approach Based on Hybrid Algorithm for Energy Efficient cluster Head Identification in Wireless Sensor Networks

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computer Systems Science & Engineering 2022年第10期43卷 259-273页

作者： c.Ram kumar k.Murali krishna Mohammad Shabbir Alam k.Vigneshwaran Sridharan kannan c.Bharatiraja Department of Electronics and communication Engineering Dr.N.G.P.Institute of TechnologyCoimbatore641048India Department of Electronics and communication Engineering Vignan’s Institute of Information TechnologyDuvvadaVisakhapatnam530049India Department of computer Science College of Computer Science and Information TechnologyJazan UniversityJizan45142Kingdom of Saudi Arabia Department of Electronics and communication Engineering K.Ramakrishnan College of EngineeringTiruchirappalli621112India Department of computer Science and Engineering JKK Munirajah College of TechnologyErode638506India Department of Electrical and Electronics Engineering SRM Institute of Science and TechnologyChennai603203India

The Wireless Sensor Networks(WSN)is a self-organizing network with random deployment of wireless nodes that connects each other for effective monitoring and data *** clustering technique employed to group the collection of nodes for data transmission and each node is assigned with a cluster *** major concern with the identification of the cluster head is the consideration of energy consumption and hence this paper proposes an hybrid model which forms an energy efficient cluster head in the Wireless Sensor *** proposed model is a hybridization of Glowworm Swarm Optimization(GSO)and Artificial Bee colony(ABc)algorithm for the better identification of cluster *** performance of the proposed model is compared with the existing techniques and an energy analysis is performed and is proved to be more efficient than the existing model with normalized energy of 5.35%better value and reduction of time complexity upto 1.46%.Above all,the proposed model is 16%ahead of alive node count when compared with the existing methodologies.

关键词： Wireless sensor network cluster cluster head hybrid model glowworm swarm optimization artificial bee colony algorithm energy consumption

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Long-term overlap of social and genetic structure in free-ranging house mice reveals dynamic seasonal and group size effects

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current Zoology 2021年第1期67卷 59-69页

作者： Julian c.EVANS Anna k.LINDHOLM Barbara köNIG Department of Evolutionary Biology and Environmental Studies University of ZurichWinterthurerstrasse 190Zurich8057Switzerland

Associating with relatives in social groups can bring benefits such as reduced risk of aggression and increased likelihood of *** among relatives over limited resources,on the other hand,can induce individuals to alter their patterns of *** density might further affect the costs and benefits of associating with relatives by altering resource competition or by changing the structure of social groups;preventing easy association with ***,the overlap between genetic and social structure is expected to decrease with increasing population size,as well as during times of increased breeding ***,we use multi-layer network techniques to quantify the similarity between long-term,high resolution genetic,and behavioral data from a large population of free-ranging house mice(Mus musculus domesticus),studied over *** infer how the benefit of associating with genetically similar individuals might fluctuate in relation to breeding behavior and environmental *** found a clear seasonal effect,with decreased overlap between social and genetic structure during summer months,characterized by high temperatures and high breeding *** the effect of overall population size was relatively weak,we found a clear decrease in the overlap between genetic similarity and social associations within larger *** well as longer-term within-group changes,these results reveal population-wide short-term shifts in how individuals associate with *** study suggests that resource competition modifies the trade-off between the costs and benefits of interacting with relatives.

关键词： genetic relatedness long-term data multilayer networks seasonal social behavior

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cFD-based analysis of urban haze-fog dispersion—A preliminary study

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Building Simulation 2021年第2期14卷 365-375页

作者： Yu Zhang Yong Yu k.c.S.kwok Feng Yan School of Medicine Tsinghua UniversityBeijingChina School of Aerospace Engineering Beijing Institute of TechnologyBeijingChina Faculty of Engineering School of Civil EngineeringThe University of SydneySydneyNew South WalesAustralia First Hospital of Tsinghua University BeijingChina

This paper proposes a computational fluid dynamics(cFD)model,along with dimensionless quantitative assessment standard—air pollution residual time(APRT)for the evaluation of local haze-fog(HF)dispersion in a built environment.A low APRT value ensures good ventilation.A building group model that comprises high-rise business building,mid-rise office buildings,low-mid-rise residential buildings(at the center of the building group),a mid-rise recreational center,and a local road(open terrain),was scaled down(1:100)to simulate the HF dispersion *** orientation of the building group was numerically modified to generate a wind incidence normal to the high-rise building,mid-rise buildings,recreational center,and *** results showed that the orientation of the building group largely determines the *** most favorable orientation can reduce APRT by more than 50%.Our results strongly suggested that in order to reduce the consequential negative effect of air pollution,future urban designs should undergo a comprehensive ventilation assessment to ensure a low APRT value.

关键词： air pollution residual time urban environment high-rise building wind direction computational fluid dynamics

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