Volume 3, Issue 2, February 2012

Assessment of Wood Waste Dumpsite on Dynamics of Soil Physico-Chemical Characteristics in Njoku Timber Market, Imo State, Nigeria

Dr. Ubuoh, E. A., Dr. Akande, S.O.C., and Dr. Akhionbare, S.M.O.

Department of Geography, University of Nigeria, Nsukka(UNN), Nigeria
Department of Environmental Management Technology, Federal University of Technology Owerri (FUTO), Nigeria

Abstract– The study focus on the effects of wood wastes generated on the changing pattern of the soil quality in order to combat some of the environmental problems like air , land and water pollutions, because wood waste represents a significant proportion of the waste stream in Njoku Timber Industry in Owerri. The study of soil dynamics from the wood waste and without wood waste disposal sites was conducted through soil sampling at different depths for physico-chemical components. The results indicated that soil quality varied between soil profiles A and B, with (A) having better soil quality than B due to availability of wood wastes deposit. Overall results show that the wood waste exerted appreciable influence on physico-chemical parameters such as sand, silt, clay, pH, organic matter, total nitrogen, available phosphorus, aluminum, calcium, magnesium, potassium, sodium, cation exchangeable capacity and base saturation, hence improvement in the fertility status of the soil in soil profile A. It is then recommended that wood waste should be encouraged in organic agriculture to combat emission of green house gases which is detrimental to environment through ozone layer depletion and acid rain formations.

Keywords—Soil Dynamics, Soil Quality, Wood Waste and Biodegradation

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Machine Learning– Defect Prevention of In-Appendage and Under Development Process of Quality Projects

B. Dhanalaxmi

Institute of Aeronautical Engineering College, India

Abstract– Society has become increasingly dependent on software controlled systems (e.g., banking systems, nuclear power station control systems, and air traffic control systems). These systems have been growing in complexity – the number of lines of source code in the Space Shuttle, for instance, is estimated to be 10 million, and the number of lines of source code that will fly aboard Space Station Alpha has been estimated to be up to 100 million. As we become more dependent on software systems, and as they grow more complex, it becomes necessary to develop new methods to ensure that the systems perform reliably. One important aspect of ensuring reliability is being able to measure and predict the system’s reliability accurately. The techniques currently being applied in the software industry are largely confined to the application of software reliability models during test. These are statistical models that take as their input failure history data (i.e., time since last failure, or number of failures discovered in an interval), and produce estimates of system reliability and failure intensity. To better control a system’s quality, we need the ability to measure the system’s reliability prior to test, when it is possible to influence the development process and change the system’s structure......

Keywords—Software Quality, In-Appendage, Machine Learning and Defect-Tracking

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Studying and Diagnosing the Main Causative Agent of Onychomycosis through Laboratory Procedures

Nuzhat Qureshi

Department of Micro-Biology, University of Karachi, Karachi-Pakistan

Abstract– Onychomycosis is a localized infection of the nail caused by pathogenic dermatophytes, yeasts and molds. In this study we diagnose through our laboratory procedures the main causative agent of onychomycosis. Our study included diabetic and non-diabetic patients. We found high incidence of Candida species (91.5%) to be responsible for onychomycosis in diabetic patients. There can be some factors involved in Candida species being the major causative agent of onychomycosis in diabetic patients in our region. Proper diagnosis is very important before the initiation of antifungal therapy. Treatment of onychomycosis is long and recurrence may occur, therefore; maintenance of good hygiene is very important.

Keywords—Diagnose, Disease, Onychomycosis, Treatment and Diabetic

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Image Classification Decreasing of Principal Component Analysis

Afshin Shaabany and Fatemeh Jamshidi

Science and Research Branch, Islamic Azad University, Fars, Iran

Abstract– This paper presents the application of Image Classification Decreasing of Principal Component Analysis. Recently, research in image procedure has excited much interest in the security systems community. In this paper, we take advantage of the simplified features and classifier to categorize images object with the wish to detect weapons effectively. In order to legalize the efficiency of the classifier, several classifiers are used to compare the overall accuracy of the system with the express admiration from the features decreasing. These classifiers include most remote First, Density-based Clustering and k-Means methods. The final result of this research clearly shows that model has the ability in improving the classification accuracy using the extracted features from the multi-dimensional feature decreasing. Besides, it is also shown that model is able to quickness the computational time with the reduced dimensionality of the features compromising the frail decrease of accuracy.

Keywords—Accuracy, Classification Decreasing, Principal Component Analysis and Imaging Procedure

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An Experimental Study of Ability of Similarity Theory to Predict Water Evaporation Rate for Different Convection Regimes

Amin Jodat

Bojnourd Branch, Islamic Azad University, Bojnourd, Iran

Abstract– In the present study, the applicability of standard model (similarity theory) has been experimentally investigated for natural, forced and combined convection regimes. A series of experimental measurements are carried out over a wide range of water temperatures and air velocities for 0.01≤〖Gr〗_m⁄〖Re〗^2 ≤100 in a heated rectangular pool. The results show that for forced convection regime due to ripples appear on the water free surface, similarity theory under predicts the evaporation rate. In the free convection regime, the similarity theory considers correctly the effects of both vapor pressure difference and vapor density difference. For mixed convection regime, although the similarity theory is not able to predict the mild non-linearity behavior between water evaporation rate and vapor pressure difference, but satisfactory results can be achieved by using the modified correlation proposed in this study.

Keywords—Evaporation Rate, Forced Convection, Mixed Convection, Free Convection and Similarity Theory

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Cloud Computing: History, Issues and Discussions

Noor Gul, Qazi Ahmad Faraz, Amin ul Haq, Junaid Khan, Amir Shahzad, Waseem Khan, Ihsan Ilahi Jan, Shahzad Hameed and Usman

Gandhara University of Sciences, Peshawar, Pakistan

Abstract– In this research paper, we analysis and overview the emergent progresses in the field of Cloud Computing as a burly contributor in many grounds such as academic research, industrial prospects, technological growth and communication information. We addressed and identified the different issues regarding the computing resources delivery, its interfaces, modeling and standards and suggest some solutions to improve its visibility, performance and affirmed cloud computing as a driving force.

Keywords—Analysis, Issues, Performance, Cloud Computing and Solution

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Effects of Pesticide Application on Soil Microbial Spectrum: Case Study- Fecolart Demonstration Farm, Owerri-West, Imo State, Nigeria

Dr. E.A. Ubuoh, Dr. Akhionbare, S.M.O., and Engr. W.N. Akhionbare

Department of Environmental Management Technology, Federal University of Technology, Owerri (FUTO), Nigeria
Department of Project Management, Federal University of Technology, Owerri (FUTO), Nsukka

Abstract– A study was conducted to determine the effects of pesticide application on soil microbial spectrum at different application rates ranging from ½ litre, 1litre with the control soil samples having no pesticide injection. The herbicide, Glysphosphate (the active ingredient in roundup) was used for the study. The fungal and bacterial species were investigated to know their susceptibility to pesticide application. Microbiological analyses were conducted through the use of Nutrient Agar medium. Soil samples were taken at the depth of 0-20cm from college demonstration farm with the aid of auger. The results revealed that pesticide applications caused drastic reduction in microbial population present in the soil when comparing with the control. Also, despite the reductions, some fungal species like Mucor miehei, Mucur hiemalis, Aspergillus fumigates and Aspergillus niger developed tolerance levels, while others like Heruncola grisea and Alternonia terins were extinct due to their susceptibility to Glysphosphate. Also, using paired t-, calculated value 1.34 is < t-table value at 0.01 and 0.05 confidence level which signify that HO is rejected for HA, indicating that there is a great difference between microbial population in treated soil and non-treated soil with pesticide confirming the effects of microbial deduction and extinction due to indiscriminate ways of applying pesticide in the soil.

Keywords—Glysphosphate, Soil Microbial Spectrum and Integrated Pest Management

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Object Oriented Model for Ontology Engineering

Afzal Ahmad, Amjad Farooq, Yasir Saleem and Asim Rehmat

Department of Computer Science and Engineering, University of Engineering and Technology, Lahore-Pakistan

Abstract– Ontology engineering gets vital importance after the idea of semantic web. The huge amount of data on current web makes information retrieval most difficult and complex process. This problem brings the idea of semantic web in which data will be in a structured form so that machine can understand and integrate data from different sources to retrieve required information for the end user. Ontology makes this possible to have data in structured form, so success of semantic web heavily depends on the successful development of ontology. Ontology development from scratch is most difficult and time taking process. So there is need to use existing, mature and accepted object oriented models of software engineering for development of ontology. This will reduce effort and time because constructing complex ontology required lot of effort, time and expertise in knowledge engineering. This paper investigates the development of ontology from object oriented models.

Keywords—Semantic Web, Ontology Engineering, Object Oriented Paradigm and Class Diagram

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Data Mining: Application, Handling and Future

Junaid Khan, Amin-ul-Haq, Muhammad Ishfaq Ahmad Khan, Waseem Khan, Ihsan Ilahi Jan, Fayyaz Gul and Shahzad Hameed

Gandhara University of Sciences, Peshawar, Pakistan

Abstract– In this research work, our purpose is to study and provide the solution for the challenges which come across in the field of data mining processes such as database handling, data transformation, data processing (selection, detection, correction) etc. Due to the essence of data mining applications, it appears as the main topic of the current research.

Keywords—Databases, Processing, Data Mining and Application

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