检索结果-南通市图书馆

SCALAR CURVATURE TYPE PROBLEM ON THE THREE DIMENSIONAL BOUNDED DOMAIN

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Acta Mathematica Scientia 2017年第1期37卷 139-173页

作者： Mohamed BEN AYED habib FOURTI Faculte des Sciences Universite de SfaxRoute SoukraSfaxTunisie Institut Preparatoire Aux Etudes d'Ingenieurs Universite de SfaxSfaxTunisie

In this paper we prove an existence result for the nonlinear elliptic problem：-△u = Ku5,u 〉 0 in Ω,u = 0 on Ω,where Ω is a smooth bounded domain of R3 and K is a positive function in Ω.Our method relies on stud... 详细信息

关键词： scalar-curvature critical point limiting Sobolev exponent variational prob-lems with lack of compactness blow up analysis

Identification of pulse-like ground motions using artificial neural network

在线全文

学校读者我要写书评

暂无评论

Earthquake Engineering and Engineering Vibration 2022年第4期21卷 899-912页

作者： Ahed habib Iman Youssefi Mehmet M.Kunt Department of Civil Engineering Eastern Mediterranean University99628 FamagustaNorth Cyprusvia Mersin 10Turkey

For more than 20 years,the concept of near-fault pulse-like ground motion has been a topic of great interest due to its distinct characteristics,particularly due to directivity or fling effects,which are hugely influenced by the rupture *** unexpected characteristics,along with their effective frequency,energy rate,and damage indices,create a near-fault,pulse-like ground motion capable of causing severe damage to *** of the most common approaches for identifying these ground motions is done by conducting wavelet decomposition of the ground motion time history to extract a pulse signal and eventually categorize an earthquake by comparing the original signal to the residual ***,to overcome the intensive calculations required in this approach,this study proposes using artificial neural networks to identify pulse-like ground motions through classification to predict their pulse period by means of regression ***,the study is intended to evaluate the reliability and accuracy of various artificial neural networks in identifying pulse-like ground motions and predicting their pulse *** general,the results of the study have shown that the artificial neural network can identify pulse-like earthquakes and reliably predict their pulse period.

关键词： pulse-like ground motions near-fault artificial neural network identification

Detection of PCV2 DNA by SYBR Green I-based quantitative PCR

在线全文

学校读者我要写书评

暂无评论

Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2007年第3期8卷 162-169页

作者： habib Mudasser Institute of Preventive Veterinary Medicine Zhejiang University

We developed an assay for the detection and quantitation of porcine circovirus type 2 (PCV2) with the SYBR Green I-based real-time PCR. The real-time PCR provides a broad dynamic range, detecting from 103 to 1011 copies of DNA per reaction. No cross-reactions were found in specimens containing PCV1. Because of the high sensitivity and specificity of the assay with a relatively rapid and simple procedure, real-time PCR can be used as a routine assay for the clinical diagnosis of PCV2 infection. In this study we applied real-time PCR assay to 80 clinical samples, collected from 40 pigs with postweaning multisystemic wasting syndrome (PMWS) and 40 healthy pigs in comparison with conventional PCR assay. In 56 of 80 samples, PCV2 DNA was de-tected by conventional PCR assay. All samples positive for PCV2 DNA in conventional PCR assay were also positive in real-time assay, and 12 of 24 samples that tested negative for PCV2 DNA in the conventional assay were tested positive in real-time PCR assay. Real-time PCR assay increased the number of samples in which PCV2 was detected by 15%. It is, therefore, considered to be a useful tool for the detection of PCV2.

关键词： Porcine circovirus type 2 (PCV2) Real-time PCR Sensitivity

Application of artificial neural network for calculating anisotropic friction angle of sands and effect on slope stability

在线全文

学校读者我要写书评

暂无评论

Journal of Central South University 2015年第5期22卷 1878-1891页

作者： Hamed Farshbaf Aghajani Hossein Salehzadeh habib Shahnazari School of Civil Engineering Iran University of Science and Technology

The anisotropy effect is one of the most prominent phenomena in soil mechanics. Although many experimental programs have investigated anisotropy in sand, a computational procedure for determining anisotropy is lacking. Thus, this work aims to develop a procedure for connecting the sand friction angle and the loading orientation. All principal stress rotation tests in the literatures were processed via an artificial neural network. Then, with sensitivity analysis, the effect of intrinsic soil properties,consolidation history, and test sample characteristics on enhancing anisotropy was examined. The results imply that decreasing the grain size of the soil increases the effect of anisotropy on soil shear strength. In addition, increasing the angularity of grains increases the anisotropy effect in the sample. The stability of a sandy slope was also examined by considering the anisotropy in shear strength parameters. If the anisotropy effect is neglected, slope safety is overestimated by 5%-25%. This deviation is more apparent in flatter slopes than in steeper ones. However, the critical slip surface in the most slopes is the same in isotropic and anisotropic conditions.

关键词： anisotropy artificial neural network sand principal stress rotation slope stability

Developing a Lagrangian sediment transport model for open channel flows

在线全文

学校读者我要写书评

暂无评论

International Journal of Sediment Research 2023年第2期38卷 153-165页

作者： Saman Baharvand habib Ahmari Poorya Taghvaei Department of Civil Engineering The University of Texas at Arlington Department of Civil Engineering Semnan University

A three-dimensional stochastic Lagrangian particle tracking sediment transport model is developed to solve the discrete advection-dispersion equation using a combination of empirical dispersion *** performance of three widely-used longitudinal dispersion coefficient equations was examined to select one of them as the primary dispersion equation term in the developed model. Also, a conditional empirical equation was used to consider the effect of vertical dispersion term in top layers near the water surface. The performance of particle tracking model(PTM) to calculate the sediment concentration was evaluated for various sediment classes(very fine sand, fine sand, and medium sand) using available laboratory dataset. Multiple statistical measures were calculated using the Taylor diagram for each dispersion equation. Based on the result, the developed particle tracking model estimated the suspended sediment concentration in a rectangular open channel with a correlation coefficient(R) of 0.96, standard deviation(STD) of 0.262, and root mean square deviation(RMSD) of 0.06 for three different sediment classes proving the acceptable accuracy of the developed model for different range of sediment gradations. In addition, the accuracy of PTM was compared to recently developed models. Comparison between the particle tracking model and the analytical solution of the advection-dispersion equation showed that the developed model predicted the maximum concentration of suspended sediment 6% and9.4% lower than the analytical solution result for 30 and 50 s simulation time in the straight channel,respectively. However, there was a good agreement between the longitudinal and transverse sediment concentration distribution from the model and the analytical solution approach. The result of the sensitivity analysis and validation process showed that the model could be used to simulate sediment transport in open channel flows.

关键词： Sediment transport Lagrangian particle tracking Stochastic approach Advection–dispersion Random walk

Two New Records of Snapper(Perciformes, Lutjanidae) from Saint Martin's Island, Bangladesh

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Ocean University of China 2021年第2期20卷 439-444页

作者： SARKAR Provakar ISLAM Md Jayedul habib AHMShafiullah NEOGI Amit Kumer habib Kazi Ahsan Department of Zoology Jagannath UniversityDhaka 1100Bangladesh Aquatic Bioresource Research Laboratory Department of Fisheries Biology and GeneticsSher-e-Bangla Agricultural UniversityDhaka 1207Bangladesh Department of Fisheries Biology and Genetics Faculty of FisheriesAquaculture and Marine ScienceSher-e-Bangla Agricultural UniversityDhaka 1207Bangladesh

The present work documented two snapper species, Lutjanus fulvus Forster, 1801 and Lutjanus erythropterus Bloch, 1790, recently collected from the Saint Martin's Island, Bay of Bengal, Bangladesh, during a survey on coral associated fishes of Bangladesh from July 2017 to September 2018. These two species were identified with morphological characteristics and by analyzing partial mitochondrial COI sequences. The document also included an updated checklist of snappers available in Bangladesh.

关键词： Lutjanus fulvus Lutjanus erythropterus DNA barcoding Bay of Bengal

Medical decision support systems based on Fuzzy Cognitive Maps

在线全文

学校读者我要写书评

暂无评论

International Journal of Biomathematics 2019年第6期12卷 147-180页

作者： Shaista habib Muhaiijmad Akram Punjab University College of Information Technology University of the.Punjab LahorePakistan School of Systems and Technology University of Management and Technology Lahore Pakistan Department of Mathematics University of the Punjab New CampusLahorePakistan

This paper determines the risk for cardiovascular diseases(CVDs).and nutrition level in infants aged 06 montlis using Fuzzy Cognitive Maps(FCMs).The aim of this study is to facilitates the medical experts to early detects these diseases with accuracy,so that overall death ratio can be ***,we have introduced the concepts of FCMs and briefly refer to the applications of these methods in *** that,two intel ligent decision support systems for cardiovascular and malnutrition are developed using *** proposed cardiovascular risk assessment system takes six inputs:chest pain,cholesterol,heart rate,blood pressure,blood sugar,and old peak and determines CVDs *** second decision support system of malnutrition diagnosis takes twelve inputs:breastfeeding,daily income,maternal education,colostrum intake,energy intake,protein intake,vitamin A intake,iron intake,family size,height,weight,head circumference,and skin fold thickness and diagnoses the nutrition level in *** have explained the working of both decision support systems using case studies.

关键词： Fuzzy sets fuzzy cognitive maps algorithm time complexity cardiovascular diseases malnutrition.

Diagnostic methods and risk analysis based on fuzzy soft information

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Biomathematics 2018年第8期11卷 1-34页

作者： Shaista habib Muhammad Akrarn Punjab University College of Information echnology University of the Punjab Old Campus Lahore Pakistan University of Management and Technology Lahore Pakistan Department of Mathematics University of the Punjab New Campus Lahore Pakistan

In our daily life problem we face uncertainties in making right decisions. In this study, we propose two different decision-making problems in medical field. The first problem is fever diagnosing and second problem is mouth cancer risk analysis. In the first problem, we use fuzzy soft similarity measures and fuzzy soft matrix operations to diagnose the type of fever. We consider a hypothetical case study and manipulate similarity measures on it. Our work diagnoses different patients having similar symptoms. We also develop a small application using JAVA. In the second problem, we perform risk analysis of mouth cancer. The proposed fuzzy soft expert system takes two biochemical parameters as inputs that is, serum total malondialdehyde (MDA), and serum proton donors capacity (donors_protons) and determines the risk of mouth cancer. Our study facilitates doctors by diagnosing mouth cancer at its earlier stages. There are four main components of our fuzzy soft expert system. The first component is named as fuzzification which converts crisp input into linguistic variables and formulates fuzzy sets. The second component transforms fuzzy sets into their respective fuzzy soft sets. The third coinponent determines indispensable parameters and perforins parameter reduction. The fourth component performs risk analysis by using algorithm. We use exemplary dataset and run all the components of fuzzy soft expert system to compute cancer risk.

关键词： Fuzzy soft set similarity measure fuzzy soft metrics algorithm time complexity chikungunya malaria dengue mouth cancer serum total malondialdehyde serumproton donor capacity

Cubic Spiral Transition Matching G^(2) Hermite End Conditions

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Numerical Mathematics(Theory,Methods and Applications) 2011年第4期4卷 525-536页

作者： Zulfiqar habib Manabu Sakai COMSATS Institute of Information Technology Department of Computer ScienceDefense RoadOff Raiwind RoadLahorePakistan Department of Mathematics&Computer Science Koorimoto 1-21-35Kagoshima 890-0065Japan

This paper explores the possibilities of very simple analysis on derivation of spiral regions for a single segment of cubic function matching positional,tangential,and curvature end *** are curves of monotone curvature with constant sign and have the potential advantage that the minimum and maximum curvature exists at their end ***,spirals are free from singularities,inflection points,and local curvature *** properties make the study of spiral segments an interesting problem both in practical and aesthetic applications,like highway or railway designing or the path planning of non-holonomic mobile *** main contribution is to simplify the procedure of existence methods while keeping it stable and providing flexile constraints for easy applications of spiral segments.

关键词： Path planning spiral cubic Bézier G2 Hermite Computer-Aided Design(CAD) computational geometry