{"title":"Ranking of Fuzzy Numbers by using Scaling Method","authors":"Ayad Mohammed Ramadan","doi":"10.24271/psr.24","DOIUrl":"https://doi.org/10.24271/psr.24","url":null,"abstract":"In this paper, we presented for the first time a multidimensional scaling approach to find the scaling as well as the ranking of triangular fuzzy numbers. Each fuzzy number was represented by a row in a matrix, and then found the configuration points (scale points) which represent the fuzzy numbers in . Since these points are not uniquely determined, then we presented different techniques to reconfigure the points to compare them with other methods. The results showed the ability of ranking fuzzy numbers","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":"358 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86802072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yadgar Ali Mahmood, Halgurd Nasraden Hassan, Masood Saber Mohammed
{"title":"Yield Performance of Barley Hybrids (Hordeum vulgare L.) under Drought stress and non-stressed Conditions","authors":"Yadgar Ali Mahmood, Halgurd Nasraden Hassan, Masood Saber Mohammed","doi":"10.24271/PSR.20","DOIUrl":"https://doi.org/10.24271/PSR.20","url":null,"abstract":"This study was carried out at the experiment field, Kalar Technical Institute, Garmian Region in two growing seasons of 2016-2017 and 2017-2018 in order to evaluate the growth and yield potentials of barley under water stressed using hybrids as a source of wide range of genotypic variations. Therefore, five F2 barley hybrids (Hordeum vulgare L.) were screened for grain yield, biomass dry matter, plant height and harvest index under irrigated and drought conditions. Results showed that there was no effect of drought on grain yield (P>0.05) in 2017, while significantly reduced yield in 2018 and across-year mean (P-2 (3//14) under irrigated condition, and 267.8 (3//5) to 302.3 g m-2 (3//4) under unirrigated condition (P=0.001), biomass dry matter was ranged from 1099.1 (3//1) to 1370.5 g m-2 (3//14) under irrigated condition, and 892.6 (3//1) to 1153.9 g m-2 (3//14) under unirrigated condition (P=0.05), and harvest index were from 25.1 (3//14) to 28.0 (3//1) under irrigated conditions, and 25.9 (3//14) to 31.2 (3//1) under unirrigated conditions (P=0.04). Regression analysis, averaging over years, showed a positive relationship between grain yield and biomass under irrigated (R2=0.76; P=0.05), despite that, any positive relation was not found under unirrigated conditions (R2=0.43; P=0.23) due to post-anthesis drought stress. A strong relationship was also found between plant height and biomass dry matter under both irrigated (R2=0.89; P=0.02) and unirrigated (R2=0.97; P=0.003) conditions due to the high contribution of plant height in increasing plant biomass. It is concluded that genotypes had different response to drought due to their genetic diversity, and relatively low impact of water stress was appeared on growth and grain yield of barley in this semi-arid region compared to worldwide expected range of yield reduction.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68881991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Effect of Laser Shots on Morphological and Optical Properties of Copper Oxide NPs Prepared by Nd-Yag Laser of 1064 nm Wavelengths in Distilled Water","authors":"M. M Kareem","doi":"10.24271/psr.33","DOIUrl":"https://doi.org/10.24271/psr.33","url":null,"abstract":"This study examines the synthesis of copper oxide nanoparticles (NPs) by using a Q-Switched Nd-Yag (1064 nm) laser on copper foil immersed in Distilled Water (DW). The solution color changed to light green refers to the production of copper oxide NPs. The generated nanoparticles were studied to determine their characteristics as a function of pulse laser shots and the NPs were obtained by taking 500 and 1000 laser pulse shots on Cu target. Thin films deposited on both (glass and silicon) substrates were characterized by X-Ray Diffraction (XRD), Field Emission-Scanning Electron Microscopy (FE-SEM), and Atomic Force Microscopy (AFM) techniques. Later, regarding the colloidal nanoparticles, NPs were instantly characterized by UV-vis spectroscopy and examined by TEM microscopy. The production rate of Cu-NPs concentration in the colloidal solution was measured by atomic absorption spectra type (ICP-OES), which increased by increasing the number of laser shots in the liquid volume. The Energy Dispersion Spectroscopy (EDS) analysis resulted in the presence of copper (Cu) and oxygen (O) elements in the film structure with a nearly stoichiometry ratio. The optical energy gap was decreased to (2.44 eV) with increasing the number of laser shots in the colloidal solution.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68882303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Comparison Study of Data Mining Algorithms for blood Cancer Prediction","authors":"Noor Bahjat, Snwr Jamak","doi":"10.24271/psr.29","DOIUrl":"https://doi.org/10.24271/psr.29","url":null,"abstract":"Cancer is a common disease that threats the life of one of every three people. This dangerous disease urgently requires early detection and diagnosis. The recent progress in data mining methods, such as classification, has proven the need for machine learning algorithms to apply to large datasets. This paper mainly aims to utilise data mining techniques to classify cancer data sets into blood cancer and non-blood cancer based on pre-defined information and post-defined information obtained after blood tests and CT scan tests. This research conducted using the WEKA data mining tool with 10-fold cross-validation to evaluate and compare different classification algorithms, extract meaningful information from the dataset and accurately identify the most suitable and predictive model. This paper depicted that the most suitable classifier with the best ability to predict the cancerous dataset is Multilayer perceptron with an accuracy of 99.3967%.","PeriodicalId":33835,"journal":{"name":"Passer Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68882223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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