Volume 6, Issue 7, July 2015

A New Banded Iron Formations Deposit Discovery in the Eastern Anti Atlas of Morocco

Saoud N., Charroud M., Hinaj S., Dahire M., and Mounir S.

Geo-resources & Environment Laboratory (LGE), Faculty of Sciences & Technologies- Fez, Sidi Mohamed Ben Abdellah University, Morocco
Geological Department, Laboratory of Geo-resources & Environment (LGE), Faculty of Sciences & Technologies of Fez, Sidi Mohamed Ben Abdellah University Fez, Morocco
Faculty of Sciences and Technology-fez, Sidi Mohammed Ben Abdellah University, Morocco
Faculty of Sciences Dhar El Mahra-Fez, Sidi Mohammed Ben Abdellah University, Morocco

Abstract– The Moroccan structural domain of the Anti Atlas presents a deformed part of West African Craton (WAC). In this area, the succession of epeirogenic cycles has generated the development of different mineralization kind’s in several geodynamic contexts (Fe, Co, Ag, Au, Pb,…). During Ordovician, the Tafilalt basin characterizes an implementation of Iron mineralization which manifests as Banded Iron Formation (BIF) where the setting marks a significant geodynamic and tectonic activity in a delta and shallow sea environment. To that aim, our interests are based on the classification of iron mineralization using petrographic and metallogenic studies and the determination of an appropriated iron mineral implementation geodynamic model.

Keywords— BIF, Exploitable Deposits, Ordovician, Tafilalt Basin, Anti Atlas, Morocco and Gondwana

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Comparative Studies of a Two-Stage Cascade Output Filter Single and Three-Phase PWM Inverters Feeding Rectifier-Types Non-linear Loads

A.D. Ambakederemo, A.O.C. Nwokoye, U. Onochoja and J.I. Udoye

Department of Materials and Energy Technology, Projects Development Institute (PRODA), Federal Ministry of Science and Technology, Enugu, Nigeria
Department of Physics and Industrial Physics, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Nigeria
Department of Electrical, Power, and Electronics, Projects Development Institute (PRODA), Federal Ministry of Science and Technology, Enugu, Nigeria

Abstract– Uninterruptible power supply is essential to drive certain sensitive and critical loads that cannot afford to experience unexpected power failure such as computers, some laboratory and hospital equipments among others. These loads, called rectifier-types nonlinear loads because of the presence of rectifier circuits at their front ends, generate harmonics in the power systems. Sinusoidal voltages and currents are distorted by the harmonics generated and create potential problems to the power industry. This paper investigates and compared the performances of the two-stage cascade output filter single and three-phase voltage source PWM inverters (VSIs), feeding rectifier-types nonlinear loads. Simulation was done in matlab/simulink and hardware implementations were successfully done. A voltage total harmonic distortion of 3.44% was obtained for two-stage cascade output filter three-phase PWM inverter and 4.82% for the single-phase PWM inverter respectively, when feeding rectifier-types nonlinear loads. This shows and confirms that a two-stage cascade output filter three-phase PWM inverter has better performance characteristics, such as handling voltage and current harmonics distortions than its single-phase PWM inverter counterpart.

Keywords— Two-Stage Cascade Output Filter, Rectifier-types Nonlinear loads, Total Harmonics Distortions and Uninterruptible Power Supply (UPS)

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Factors Behind Brand Switching: Evidences from Pakistan

Zahra Zahid, Hira Javaid and Iqra Zahid

University of Gujrat, Hafiz Hayat Campus, Faculty of Management and Administrative Sciences

Abstract– The telecommunication industry of Pakistan is facing strict competition ahead. The dynamic environment is in constant flux. Now subscriber’s retention and acquisition has become the center of attention of the service providers. Due to the emergence of number of service providers, customers switching rate is increasing. Customer satisfaction established when brand fulfills the needs and desires of the customers. The present study is focus on identifying those factors that have direct impact on the switching behavior of customers. The data was collected from a sample of 250 people and a self ministered questionnaire was used to collect required data. The Data was collected from the cities of Gujrat, Wazirabad, Lala Musa and Kharian by using convenience sampling technique. Results of this study show that factors i.e., lower call and SMS rate, service quality, value added services, special offers, network coverage and service reliability significantly affect the switching behaviors of the respondents.

Keywords— Telecommunication, Customer, Services, Switching and Quality

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Transitivity Action of A_n (n= 5,6,7) on Unordered and Ordered Triples

Cedric W. Ndarinyo and Jane k. Rimberia

Department of Mathematics, Kenyatta University, P.O. BOX 43844-00100, Nairobi

Abstract– In this paper, we study some transitivity action of the alternating group An (n = 5,6,7) acting on unordered triples and ordered triples from the set X = { 1,2,3,---,n } through determination of the number of disjoint equivalence classes called orbits. When n ≤ 7, the alternating group acts transitively on both X⁽³⁾ and X^[3].

Keywords— Orbits, Alternating Group An, Ordered and Unordered Triples from the Set X

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Evaluation of Mixed Local Materials for Low Voltage Insulators

E. I. Ezenwabude and T. C. Madueme

Department of Electrical Engineering, Nnamdi Azikiwe University, Awka, Nigeria

Abstract– Varying compositions of stoneware clay, fire clay, feldspar and quartz were used to produce different specimens of porcelain insulators to investigate their resulting properties and suitability for mass production and commercial viability, comparing the specimens with Budnikov’s recommendation for electrical porcelain. The basic raw materials were separately prepared using a sieve to remove the iron content and other impurities before casting. The mixtures were formulated to produce porcelain samples by using sodium silicate to keep it in a slurry state, while the slip casting process was used in the production of the electrical porcelain insulator. Produced insulator samples were fired by means of bisque and glaze firing techniques respectively. The specimen with composition of 50% stoneware clay, 20% feldspar and 30% quartz (silica) was found to possess a high quality properties, corresponding to water of absorption (14.44%), porosity (25.23%), bulk density (1.75 g/cm3) at a very high temperature of 1200⁰C,with appreciable insulation breakdown voltage of 45V. The investigation had shown that high quality electrical porcelain insulators could be achieved from locally available sourced materials for distribution line insulators.

Keywords— Clay, Electrical Porcelain and Low Voltage Insulators

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A Novel Method Based on Artificial Neural Network for Medium-Term Load Forecasting

A. Amani, J. Moshtagh and M. Bayat Mokhtari

Department of Electrical Engineering, Faculty of Technical and Engineering, Saveh Branch, Islamic
Azad University, Saveh, Iran
Department of Electrical and Computer Engineering, University of Kurdistan, Sanandaj, Iran
Department of Electrical Engineering, Faculty of Technical and Engineering, Saveh Branch, Islamic Azad University, Saveh, Iran

Abstract– Electrical load forecasting depending on the forecast period, divided into short-term, medium-term and long-term categories. Several research groups have proposed various techniques for medium-term load forecasting. Accurate medium-term electrical load forecasting provides utilities information to better plan power generation expansion (or purchase), schedule maintenance activities, perform system improvements, negotiate forward contracts and develop cost efficient fuel purchasing strategies. Since the medium-term load forecasting playing a vital role in the economic and safe operation of the power systems, here this type of forecasting is presented. Since ANN (Artificial Neural Network) ability to find the mapping between input and output in complex and non-linear functions, it is one of the most appropriate tools to forecast medium-term electric loads. This paper describes a new approach to the medium-term load forecasting which uses ANN technique. The proposed approach is applied to a partial distribution network of Sanandaj, Iran. In this paper sampling for the eight low voltage posts in Sanandaj city with using registers is done. The study for two month including one month with temperate climate and one month with warm climate was done. The sampling consist of six posts with residential loads and two posts with commercial loads. The electrical loads are forecasted for the next year with ANN in the MATLAB software.

Keywords— Load, Artificial Neural Network, Medium-Term and Load Forecasting

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