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Sindh University Research Journal 

University of Sindh
About: Sindh University Research Journal is an academic journal. The journal publishes majorly in the area(s): Population & Routing protocol. Over the lifetime, 656 publications have been published receiving 1605 citations.

Papers published on a yearly basis

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Journal Article
TL;DR: The aim of this exploration work is to analyze the presentation of ISODATA(Iterative Self-Organizing Data Analysis Technique Algorithm) andK-Means in remote sensing, to evaluate statistically by iterative techniques to automatically group pixels of similar spectral features into unique clusters.
Abstract: The aim of thisexploration work is to analyze the presentation ofunsupervised classification algorithms ISODATA(Iterative Self-Organizing Data Analysis Technique Algorithm)andK-Means in remote sensing, to evaluate statistically by iterative techniques to automatically group pixels of similar spectral features into unique clusters. This investigation used SUPARCO(Space and Upper Atmosphere Research Commission (Pakistan)) obtained remotely sensed patch of Abbottabad Pakistan. The test patch of Abbottabad is divided into Five bands i.e. NDVI (Normalized Difference Vegetation Index), green, near infrared, far infrared, and green. The ROIs (regions of interest) selected for classification of Land Cover data comprises five different types of classes i.e. water bodies, agriculture, settled area, forest and barren land. In this research of remote sensing the first step was to preprocess Abbottabad test patch by filtering, to improve performance of classification andneighboring pixels homogeneity. The next step was to assess the accuracy of Two pixel based unsupervised classifiers i.e. ISODATA and k-means on the said test patch. Finally, the mentioned classifiers performance is evaluated by varying their different parameters to categorize the effect of the clustering algorithms and their class statisticson whole classification outcomes.

52 citations

Journal Article
TL;DR: This manuscript presents a face identification method based on the theory of Sobel Local Binary Pattern and Laplacian filters edge detectors to represent face images with enriched information and shows better results as compared to previously developed face recognition methods.
Abstract: This manuscript presents a face identification method based on the theory of Sobel Local Binary Pattern and Laplacian filters edge detectors to represent face images with enriched information. Thereafter, to refine images for less sample size, Discrete Cosine Transform is used to represent these face images in low dimension space. The proposed method of facial recognition performs well to a considerable amount under small sample problem and is also invariant to illumination changes. It shows better results as compared to previously developed face recognition methods after performing experiments on many well known databases.

24 citations

Journal Article
TL;DR: In this paper, the authors developed a mathematical model to identify the most critical factors that influence the causes of delay in construction projects and presented four delay factors: client problems, contractor problems, resources problems, and general problems.
Abstract: The aim of this paper is to develop a mathematical model and identifying the most critical factors that influence the causes of delay in construction projects. Delay is one of the most common, important and serious problem which impacts the time factor with relation to cost of projects in the Construction Industry, Conducted analysis acquired through survey of the delays experienced in very high rise building construction projects in every country of the world. We have presented four delay factors representing reason of late in development projects. The factors are client problems, contractor problems, resources problems, and general problems.

22 citations

Journal Article
TL;DR: Balochistan province represents Triassic to recent strata with different tectonometallic and sedimentary basins like Balochistan basin, part of Indus Suture (Axial Belt), Sulaiman and Kirthar basins as mentioned in this paper.
Abstract: The Balochistan province represents Triassic to recent strata with different tectonometallic and sedimentary basins like Balochistan basin, part of Indus Suture (Axial Belt), Sulaiman (middle Indus) and Kirthar (lower Indus) basins. Indus Suture separates the Balochistan basin (part of Neotethys) in the west and Sulaiman and Kirthar (part of Indo-Pakistan subcontinent) in the east. Balochistan basin represents Cenozoic flysch, accretionary wedge complex and magmatic island arc system, Indus Suture includes the igneous, sedimentary and metamorphic melanges. The Sulaiman and Kirthar basins consist of Triassic to recent strata. Balochistan is the richest mineral province of Pakistan. The Chagai-Raskoh magmatic arc and Indus Suture are the richest metallogenic zones in the Balochistan province and also in Pakistan, however the Sulaiman and Kirthar are trying to lead in sedimentary minerals. Balochistan province has large proven reserves of indigenous iron, copper (associated some gold, silver, molybdenum), lead, zinc, barite, chromite, coal, gypsum, imestone (marble), ochre, silica sand, etc, small deposits of antimony, asbestos, celestite fluorite, magnesite, soapstone, sulphur, vermiculite, etc. Some commodities are being utilized and some are being exported but most of the commodities are waiting for their utilization and developments. Cement raw materials are common and also at one place, so the installation of more cement industries can help a great for the country economy by exporting. Further water resources are two much and water is going into sea after creating flood and loss in the agricultural lands and population, so smaller dams are necessary due to population increasing. The first and huge gypsum deposits of Pakistan are found in Sulaiman foldbelt of Balochistan but not utilizing. Coal production is 58% of country is from Balochistan. The orogeny/tectonics, stratigraphy and fauna of Pakistan show isolation of Indo-Pakistan as island during probably Late Jurassic, or most probably Early Cretaceous to middle Late Cretaceous. Indo-Pakistan shows association with Madagascar and South America (via corridor or Antarctica) before Late Jurassic or Early Cretaceous, and early seed radiation and common heredity show relatively high degree of similarity between Late Cretaceous fauna of Indo-Pakistan, Madagascar and South America, otherwise titanosaurian show cosmopolitan. Here most of known informations and newly field data collected by author on stratigraphy, mineral potential, geological history and paleobiogeography of Balochistan province with basinwise are being presented.

18 citations

Journal Article
TL;DR: The various crude solvent extracts were found to be effective against test organism but the chloroform and the aqueous extracts appeared to be most effective antifungal agents as compared to ethanol, methanol and ethyl acetate extract.
Abstract: Antifungal activity of crude solvent extract of Cressa cretica have been investigated against Dermatophytic fungi, Aspergillus niger, Aspergillus flavus, Paecilomyces varioti, Microsporum gypseum, and Trichophyton rubrum. The various crude solvent extracts were found to be effective against test organism but the chloroform and the aqueous extracts appeared to be most effective antifungal agents as compared to ethanol, methanol and ethyl acetate extract. More over in present study some basic elements, Al, Ca, Cu, Fe, Mg, Mn, P, S and Zn have been determined from the medicinal plant Cressa cretica. by using atomic absorption spectrophotometry and U.V spectrophotometry. The medicinal plant Cressa cretica contains considerable amount of elements which have therapeutic effects in skin diseases.

17 citations

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Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
20202
201997
201824
201765
2016129
2015124