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Effect of physiographic factors on qualitative and quantitative charac-teristics of Cornus mas L. natural stands in Arasbaran forests, Iran

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Journal of Forestry Research 2013年第1期24卷 69-74页

作者： ahmad Alijanpour Faculty of Natural Resources Urmia UniversityPardis-e-NazlooSero RoodZip code ***UrmiaI. R. Iran

Arasbaran forests are located in East Azerbaijan （northwest Iran）. Increasing of socio-economic problems in this area causes destruction of biodiversity and structure of these forests. Using multipurpose trees such as cornelian cherry （Cornus mas L） to encourage villagers to produce forest by-products is a basic approach for preserving these forests. This species grows naturally in Arasbaran forests and the fruit is annually exploited using traditional harvest methods. This study aims to assess the ecological requirements of cornelian cherry and the important factors affecting its distribution. For this purpose, 40 circular sampling plots （300 m2） on various slope aspects were demarcated for sampling the occurrence of cornelian cherry in forest stands. DBH and crown cover percentage on north aspects were significantly greater than on other aspects and 4.5% of all trees were cornelian cherry in mature forest stands. North aspects had more seed-origin trees （standards） of cornelian cherry than coppiced trees, while west facing aspects had more coppiced than standard trees. This species had the highest regeneration rate in the sapling stage of 0–2.5 cm DBH. Thus, I recommend cultivation and development of cornelian cherry as a multi-purpose tree in the Arasbaran region on degraded forest lands on north and west aspects.

关键词： Arasbaran forests aspect physiographical factors comelian cherry (Cornus mas L.)

Deep image retrieval using artificial neural network interpolation and indexing based on similarity measurement

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CAAI Transactions on Intelligence Technology 2022年第2期7卷 200-218页

作者： Faiyaz ahmad Department of Computer Engineering Jamia Millia IslamiaNew DelhiIndia

In content-based image retrieval(CBIR),primitive image signatures are critical because they represent the visual *** signatures,which are algorithmically descriptive and accurately recognized visual components,are used to appropriately index and retrieve comparable *** differentiate an image in the category of qualifying contender,feature vectors must have image information's like colour,objects,shape,spatial *** methods such as sketch-based image retrieval by salient contour(SBIR)and greedy learning of deep Boltzmann machine(GDBM)used spatial information to distinguish between image *** requires interest points and also feature analysis emerged image detection ***,a proposed model to overcome this issue and predict the repeating pattern as well as series of pixels that conclude similarity has been *** this study,a technique called CBIR-similarity measure via artificial neural network interpolation(CBIR-SMANN)has been *** collecting datasets,the images are resized then subject to Gaussian filtering in the pre-processing stage,then by permitting them to the Hessian detector,the interesting points are *** on Skewness,mean,kurtosis and standard deviation features were extracted then given to ANN for *** results are stored in a database for *** the testing stage,the query image was inputted that is subjected to pre-processing,and feature extraction was then fed to the similarity measurement ***,ANN helps to get similar images from the ***-SMANN have been implemented in the python tool and then evaluated for its *** show that CBIR-SMANN exhibited a high recall value of 78%with a minimum retrieval time of 980 *** showed the supremacy of the proposed model was comparatively greater than the previous ones.

关键词： Gaussian filtering Hessian detector image retrieval interpolation and similarity measurement repeating pattern

Interactive Effects of Silicon and Potassium Nitrate in Improving Salt Tolerance of Wheat

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Journal of Integrative Agriculture 2014年第9期13卷 1889-1899页

作者： ahmad Bybordi East Azerbaijan Research Center for Agriculture and Natural Resources Tabriz 53555-141 Iran

Adequate regulation of mineral nutrients might be effective to ameliorate the deleterious effects of salts and help to sustain crop productivity, particularly in glycophytes, under salt stress. In this study, laboratory and greenhouse experiments were carried out at Agricultural and Natural Resources Research Centre in East Azerbaijan, Iran, to investigate the interactive effects of silicon and potassium nitrate in alleviating NaCl induced injuries in wheat（Triticum aestivum L.）. In the laboratory experiment, three winter wheat cultivars Pishgam, Afagh and Alvand were grown on sterile filter paper moistened with 20, 40, 60, 80, and 100 mmol L-1 NaCl solution. Results revealed that wheat cultivars were significantly different in their growth response to different concentrations of NaCl and Pishgam was found to be the most tolerant to NaCl stress, and used in the second part of study. In the greenhouse experiment, Pishgam was grown in a hydroponic system subjected to different NaCl levels（20, 60 and 100 mmol L-1） and treated by silicon（0, 2 and 4 mmol L-1, final concentration in nutrient solution using K2SiO3） and potassium nitrate（0, 0.5, 1, and 2 mmol L-1, foliar application）. The experimental design was factorial based on a completely randomized design with three replications. It was found that NaCl stress significantly increased proline accumulation and sodium content in the plant tissues while decreased potassium uptake and accumulation by plants. Moreover, plant weight, 100-seed weight, relative water content, chlorophyll content, and photosynthesis were also significantly affected by varying levels of NaCl. However, exogenous application of silicon and potassium nitrate reduced sodium uptake, increased potassium and consequently improved plant weight, 100-seed weight, seed yield, ear length, and photosynthesis rate. This study suggested that utilization of the salt-tolerant cultivar（Pishgam） combined with proper foliar application of potassium nitrate（2 mmol L-

关键词： germination grain yield foliar application photosynthesis proline relative water content

Enhanced Adaptive Brain-Computer Interface Approach for Intelligent Assistance to Disabled Peoples

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Computer Systems Science & Engineering 2023年第8期46卷 1355-1369页

作者： Ali Usman javed Ferzund ahmad Shaf Muhammad Aamir Samar Alqhtani Khlood M.Mehdar Hanan Talal Halawani Hassan A.Alshamrani Abdullah A.Asiri Muhammad Irfan Department of Computer Science COMSATS University IslamabadSahiwal CampusSahiwal57000Pakistan Department of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Anatomy Department Medicine CollegeNajran UniversityNajran61441Saudi Arabia Computer Science Department College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Radiological Sciences Department College of Applied Medical Sciences and Information SystemsNajran UniversityNajran61441Kingdom of Saudi Arabia Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia

Assistive devices for disabled people with the help of Brain-Computer Interaction(BCI)technology are becoming vital bio-medical *** with physical disabilities need some assistive devices to perform their daily *** these devices,higher latency factors need to be addressed ***,the main goal of this research is to implement a real-time BCI architecture with minimum latency for command *** proposed architecture is capable to communicate between different modules of the system by adopting an automotive,intelligent data processing and classification ***-sky mind wave device has been used to transfer the data to our implemented server for command ***-Net Convolutional Neural Network(TN-CNN)architecture has been proposed to recognize the brain signals and classify them into six primary mental states for data *** collection and processing are the responsibility of the central integrated server for system load *** of implemented architecture and deep learning model shows excellent *** proposed system integrity level was the minimum data loss and the accurate commands processing *** training and testing results are 99%and 93%for custom model implementation based on *** proposed real-time architecture is capable of intelligent data processing unit with fewer errors,and it will benefit assistive devices working on the local server and cloud server.

关键词： Disable person electroencephalogram convolutional neural network brain signal classification

Evaluation of liquefaction-induced lateral displacement using Bayesian belief networks

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Frontiers of Structural and Civil Engineering 2021年第1期15卷 80-98页

作者： Mahmood ahmad Xiao-Wei TANG Jiang-Nan QIU Feezan ahmad State Key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalian 116024China Department of Civil Engineering University of Engineering and Technology Peshawar(Bannu Campus)Bannu 28100Pakistan Faculty of Management and Economics Dalian University of TechnologyDalian 116024China Department of Civil Engineering Abasyn UniversityPeshawar 25000Pakistan

Liquefaction-induced lateral displacement is responsible for considerable damage to engineered structures during major ***,an accurate estimation of lateral displacement in liquefaction-prone regions is an essential task for geotechnical experts for sustainable *** paper presents a novel probabilistic framework for evaluating liquefaction-induced lateral displacement using the Bayesian belief network(BBN)approach based on an interpretive structural modeling *** BBN models are trained and tested using a wide-range casehistory records *** two BBN models are proposed to predict lateral displacements for free-face and sloping ground *** predictive performance results of the proposed BBN models are compared with those of frequently used multiple linear regression and genetic programming *** results reveal that the BBN models are able to learn complex relationships between lateral displacement and its influencing factors as cause-effect relationships,with reasonable *** study also presents a sensitivity analysis to evaluate the impacts of input factors on the lateral displacement.

关键词： Bayesian belief network seismically induced soil liquefaction interpretive structural modeling lateral displacement

Nanocomposite superstructure of zinc oxide mesocrystal/reduced graphene oxide with effective photoconductivity

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Journal of Semiconductors 2024年第11期45卷 81-88页

作者： ahmad A.ahmad Qais M.Al-Bataineh ahmad B.Migdadi Department of Physical Sciences Jordan University of Science&TechnologyP.O.Box 3030Irbid-22110Jordan

Metal oxide mesocrystals are the alignment of metal oxide nanoparticles building blocks into the ordered superstructure,which have potentially tunable optical,electronic,and electrical properties suitable for practical ***,we report an effective method for synthesizing mesocrystal zinc oxide nanorods(ZnONRs).The crystal,surface,and internal structures of the zinc oxide mesocrystals were fully *** zinc oxide nanorods/reduced graphene oxide(ZnONRs/rGO)nanocomposite superstructure were synthesized also using the hydrothermal *** crystal,surface,chemical,and internal structures of the ZnONRs/rGO nanocomposite superstructure were also fully *** optical absorption coefficient,bandgap energy,band structure,and electrical conductivity of the ZnONRs/rGO nanocomposite superstructure were investigated to understand its optoelectronic and electrical ***,the photoconductivity of the ZnONRs/rGO nanocomposite superstructure was explored to find the possibilities of using this nanocomposite superstructure for ultraviolet(UV)photodetection ***,we concluded that the ZnONRs/rGO nanocomposite superstructure has high UV sensitivity and is suitable for UV detector applications.

关键词： mesocrystals superstructure mesocrystal zinc oxide nanorods(ZnONRs) meduced graphene oxide(rGO) ZnONRs/rGO nanocomposite superstructure UV photodetection

Investigating the Relevance of Arabic Text Classification Datasets Based on Supervised Learning

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Journal of Electronic Science and Technology 2022年第2期20卷 187-208页

作者： ahmad Hussein Ababneh the Computer Science Department American University of MadabaMadaba 2882

Training and testing different models in the field of text classification mainly depend on the pre-classified text document datasets. Recently, seven datasets have emerged for Arabic text classification, including Single-Label Arabic News Articles Dataset(SANAD), Khaleej, Arabiya, Akhbarona, KALIMAT, Waten2004, and Khaleej2004. This study investigates which of these datasets can provide significant training and fair evaluation for text classification(TC). In this investigation, well-known and accurate learning models are used, including naive Bayes(NB), random forest(RF), K-nearest neighbor(KNN), support vector machines(SVM), and logistic regression(LR) models. We present relevance and time measures of training the models with these datasets to enable Arabic language researchers to select the appropriate dataset to use based on a solid basis of comparison. The performances of the five learning models across the seven datasets are measured and compared with the performances of the same models trained on a well-known English language dataset. The analysis of the relevance and time scores shows that training the SVM model on Khaleej and Arabiya obtained the most significant results in the shortest amount of time,with the accuracy of 82%.

关键词： shortest enable neighbor

Singular integral operators on product domains along twisted surfaces

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Frontiers of Mathematics in China 2021年第1期16卷 13-28页

作者： ahmad AL-SALMAN Department of Mathematics Sultan Qaboos UniversitySultanateOman Department of MathematicsYarmouk UniversityIrbidJordan

We introduce a class of singular integral operators on product domains along twisted *** prove that the operators are bounded on L^(p) provided that the kernels satisfy weak conditions.

关键词： Singular integral operators on product domains rough kernels L^(p)estimates Hardy Littlewood maximal function truncated maximal singular integrals twisted surfaces block spaces

Weighted ebyev-Ostrowski type inequalities

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Applied Mathematics and Mechanics(English Edition) 2007年第7期28卷 901-906页

作者： Arif Rafiq Nazir ahmad Mir Farooq ahmad Mathematics Department COMSATS Institute of Information TechnologyIslamabad 44000Pakistan Centre for Advanced Studies in Pure and Applied Mathematics Bahanddin Zakariya UniversityMultan 60800Pakistan

In account of the famous Cebysev inequality, a rich theory has appeared in the literature. We establish some new weighted Cebysev type integral inequalities. Our proofs are of independent interest and provide new esti... 详细信息

关键词： Cebysev type inequalities L∞ (a b) spaces absolutely continuous functions weight functions