European Journal of Scientific Research

Volume 138 No 3
March, 2016

Structural Interpretation of Lineaments by Remote Sensing and GIS using Landsat 8 Data: A case study of Akreuch area (Morocco)
216-224
Meryem TAOUFIK, Bouamar BAGHDAD, Hassan EL HADI, Meriem LAGHLIMI
Abstract:
The aim of this study is to map lineaments in the Akreuch area, for a purpose of developing strategies for the rehabilitation or restoration of 10 abandoned quarries (former marl and limestone extractions). The methodology of this work is based on the use of Landsat 8 image, remote sensing enhancement techniques and GIS approaches. Three different methods were used to extract lineaments in the Akreuch region; Principal Component Analysis (PCA), directional filters and band combinations. A statistical analysis of the resulted lineaments was performed and show ascendancy of NW-SE and NE-SW directions with respectively 39% and 27% of the overall total of linear structures. These latter are totalizing 51 segments and a global length of 22000m. Results obtained join the main directions of digitized faults from the published geological map of the region, totalizing a length of 22625m. Lineaments are then superposed to the hydrographic network of the study area and illustrate the relation between fractures and water circulation.
Keywords: Lineament, Filter, Landsat 8, GIS, Image processing, Morocco

Design and Simulation of Free Energy Permanent Magnet Motor (FEPMM)
225-234
Amel A. Ridha
Abstract:
The objective of this work is to study the free energy permanent magnet motor, where the natural repulsion or the attraction characteristic of magnet poles creates a perpetual motion which can be harnessed by the magnet motor. In the present work, a magnetic motor employing two parts of stator and rotor was designed and its operation was analyzed. The essential idea of this work have started by taking advantage of permanent magnet properties in these machines when replacing electric coils by permanent magnets, to build a free energy magnetic motor . These magnets were selected according to the characteristics and influencing factors such as temperature and stored energy. A two-dimensional computer model of the motor was designed in order to perform a finite element magnetic analysis.
The building engineering models using simulation software (FEMM4.2) ,Then implementation the prototype by putting a disc(internal rotor part) between two discs (external stators parts), the two motor's parts consist of magnets type (Nd Fe 38) which spaced by equal distances . Series of internal and external parts were organized with different opposite polarity that created a series of free movement of rotor.
Keywords: Attraction, Flux Density, Free Energy , Permanent Magnet Motor,Repulsion

Predicting of Stress for Teens According to Parental Behavior Using Classification Algorithms
235-240
Ms.Sumalatha.V and Dr.Santhi.R
Abstract:
In today world, stress is a major issue for teenagers. Mental stress leads to attempt suicides or committing to any illegal activities etc . In many cases the stress leads to addicting to drug. To avoid all these situation and also the successful future of teens, parents should have more responsibility. In this research the work is carried out to find the stress level of teens if parents are working (Father & Mother). Researches are made using some knowledge based classifier techniques in the area of Academic, Medical, Bio Science, Bioinformatics , bio- computing etc. Using the supervised learning methodology to analyze and evaluate the teenagers from the dataset . Based on the evaluation to find the teenagers stress level according to behavior of parents. This research will be useful to control or avoid stress factors among teenagers. We can also improve the parental care to teens. Using the classification algorithm we can predict and classify the stress level of teens. In this research work data preprocessing can be done using research tools. Further using the preprocessed data the work is implementing with the model of classification algorithms.
Keywords: Supervised learning , Classification algorithm , Stress Classification ,Naïve Bayes classifier , Probabilty.

Trade Openness and Exchange Rate Fluctuations Nexus in Nigeria
241-246
Nelson C. Nkalu, Nathaniel E. Urama and Fredrick O. Asogwa
Abstract:
This study investigates the trade openness and exchange rate fluctuations Nexus in Nigeria using time series data covering from 1984 to 2013. The rational for this study is the realization that a viable exchange rate regime that is stable and predictable presents rich vista for economic growth and development through liberalization of trade. The study employed the Ordinary Least Square (OLS) method after a battery of preliminary investigations which include the Augmented Dickey-Fuller (ADF) test for stationarity, and pairwise correlation matrix technique. Our findings include among others that; trade openness impact positively about 59% magnitude on the exchange rate fluctuations or volatility in Nigeria. The causality test conducted using Granger causality procedure shows that there exist unidirectional causality between trade openness and exchange rate fluctuations without a feedback response.
Keywords: Trade Openness, Exchange Rate Fluctuations, Causality, Nigeria.
JEL Code:E32, E37

A New Look to the Phenomenon of the Conservation of Energy and Emergence of Space-Time: An Accelerated Conservation of Energy
247253
Agaddin Kh. Mamedov
Abstract:
In this paper, we suggest an alternative concept on non-uniform conservation of energy within the emerged non-uniform space-time manifold. This concept unifies all the interactions of nature within the asymmetric space-time manifold carrying the non-uniform conservation of energy. In the non-uniform energy conservation concept, energy and mass appear as two forms of the same unit as they are distributed differently within asymmetric space and time fields. Based on this concept, acceleration of the expansion of universe is the result of the acceleration of energy conservation. Space appears as the materialization phase of energy while time phase destroys everything material by returning the space matter to the initial state of energy. All the forces, which appear as the product of non-uniform energy-mass exchange interaction, are non-invariant while gravity, as a uniform force, carries conservation of energy to the initial state in the form of gravitational waves of superconductive fluid of the bosonic condensate. Therefore, gravitation is the reverse uniform flow of the electromagnetic waves due to the distortion of space-time frame and reversing to the initial state of its generation.
We present a model of space-time frame, which emerges from the non-uniform splitting of photons and became the fundamental building block of energy, matter and nature: the space-time frame generates ordinary matter, which in the energy-mass exchange interaction carries the accelerated conservation of energy. While energy is non-uniformly conserved within the space-time frame, unification of electromagnetism with the space-time frame became an obvious concept.
Keywords: Non-uniform conservation of energy, space-time, Higgs boson, generation of mass.

Thinker Home by Wireless Sensor Network Based Neural Network Learning Rule
254-264
Osama Qasim Jumah Al-Thahab, Ali Shaban hasoony and Mohammad Qasim
Abstract:
Automated Home System now days be a promise technology for users to live a comfortable life and reducing cost. This idea can be accomplished by optimize a control scheme for heating, air conditioning, ventilation, shading and lightening, also improving the efficiency of the consumed energy with the existing of a protection system. So a home thinking system is proposed in this work, which making a control to a most appliances in the home and discover any undesirable movement especially when the person is out of his home by taking a decisions instead of homeowners.
A central computer is use for a control unit, and three nodes are used to gather informations about heating, lightening, and movements. A Microcontroller uses especial sensors to collect these informations, which send them to the computer for manipulation and take a suitable decision of what to do. A Delta Learning Rule is used to take a decision for the sensor readings and making the automated system more smart system so that for example if there is any movement in the house it take a decision of sending a GSM message to the owner tell him the new situation and if it is danger or no, In addition to take decisions to operate a convenient home appliances for each state.
The program that used for manipulation process is MATLAB Program version 2015, the computer is HP core i3, and the Microcontroller is Arduino with GSM and Xegbee shield.
Keywords: home automation, smart home system, neural network, GSM mobile

A Research About Different Characteristics of 12-14 Year Old Middle School Students
265-275
Cetin Ayhan Seyfullahogullari
Abstract:
School is one the important steps for child’s development. The most important characterisitics which separates school from other institutions is that its input and output is human. To start school for a child is to gain a new and complex social environment, to take place a society as an individual and to open to the outer world. Child’s attempt to establish a personality increases as the school process begins. In this study, creativity, leadership, happiness, anxiety and popularity levels of primary school students between 12 and 14 ages; their changes due to the students descriptive characteristics and relationship between these characteristics has been tested by using parametric and nonparametric statistical techniques. At the and of the study, it is concluded that there is a significant relationship between the children’s happiness level and ages and also there is a significant relationship between children’s happiness and anxiety levels.
Keywords: Personal Characteristics, Analysis of Relationship

The Role of Organic and NPK Compound Fertilizers on Growth of Two Years Old Oil Palm (Elaeis guineensis Jacq.)
276-283
Sudradjat, Putri Irene Kanny and Sugiyanta
Abstract:
Palm oil is a major commodity for Indonesia as a major source of foreign exchange. Indonesia and Malaysia produce 86 per cent of Crude Palm Oil (CPO) world production. The productivity level of oil palm plantations managed by the small holders is a relative lower than that produced by a private or public companies. The low productivity due to lack of awareness of farmers on the benefits of using organic and inorganic fertilizers to increase it’s productivity. The objective of this research was to study and to determine organic fertilizer and NPK compound fertilizer rate and to obtain the best organic-NPK fertilizer combination to increase the effectiveness of the use of NPK compound fertilizer for the growth of two year old oil palm. The research was conducted at IPB-Cargill Teaching Farm Jonggol, Bogor West Java Indonesia, from April 2014 to March 2015. The experiment was arranged in a two factors randomized complete block design with three replications. The first factor consisted of 0, 45, and 90 kg organic fertilizer plant-1 year-1. The second factor was the NPK compound fertilizers rate consisted of 0, 3.45 and 6.9 kg plant-1 year-1. The result of the application organic fertilizer rate of 90 kg plant-1 year-1 increased leaf greenness, photosynthesis rate, and leaf nutrient content. The application of 6.9 kg NPK compound fertilizer plant-1 year-1 increased plant height, girth, frond production, leaf area, photosynthesis rate, leaf greenness, and leaf nutrient content of oil palm. The best combination treatment of 45 kg organic fertilizer rate and 6.9 kg NPK compound fertilizer rate produced the highest relative agronomic effectivenes value of 242.2%.
Keywords: effective value, leaf greenness, NPK compound fertizer.

Equivariant Isometric Folding
284-286
E. ELKholy and F. Alghamdi
Abstract:
In this paper we introduced the definition of the equivariant isometric folding of Riemmanian manifolds. Then we proved that the only equivariant isometric folding of the unit sphere sn is the isometry.


Application of Hidden Markov Models and Viterbi Algorithm to Characterize the Unemployment in Jordan for the Period (2000-2014)
287-294
Dr. Hasan Yasien Tuama
Abstract:
This study aimed to application of Hidden Markov Models (HMM) and Viterbi algorithm to characterize the unemployment in Jordan for the period (2000-2014). To achieve the study objectives, the study is mainly based on the secondary data related to Unemployment selected from the annual reports of the Jordanian Department of Statistics for the period (2000-2014). The study findings a number of results, including the following: a. The unemployment rate system (Yt) (Observed) is relatively unstable because the variance (fluctuations) (σ21 = 0.976) between its observations bigger than the variance of the uncertain unemployment system (e2) (Hidden) (σ20 = 0.326),
b. The unemployment rates estimation in Jordan for the period (2000-2014), seems decreases in the short term. Upon the foregoing results, the study reached to a number of conclusions.
Keywords: Hidden Markov Models, Viterbi Algorithm, Unemployment, Transition Probabilities, Maximum Likelihood Estimation.

Depression and Factors Associated With the Quality of Life Among the Elderly in Numpong and Somsoong District, Khonkean Province, Thailand
295-301
Korravarn Yodmai and Ratana Somrongthong
Abstract:
This cross-sectional study aims to assess the quality of life (QOL) and depression among the elderly in two districts in the Khonkean province, and to determine the factors associated with QOL. Two hundred people of aged between 60 – 75 years were randomly selected. QOL was measured with a WHOQOL-OLD questionnaire. Depression was measured with the Thai Geriatric Depression questionnaire. Logistic regression was used to determine the association between potential factors and QOL. The results showed that the QOL among older people was fair (55.0%), 44.5% of them have good QOL and only 0.5% of them have low QOL. Most of them (84.5%) have no depression, followed by mild depression (13%), moderate depression (2%), and severe depression (0.5%). It found that having a friend as a consultant for stress (OR = 12.36, 95% CI = 1.58 - 96.54) and access to information by mass media (OR = 2.74, 95% CI = 1.17 - 6.48) were associated with QOL. In contrast, being a member of the village committee (OR = 0.098, 95% CI = 0.02 - 0.51), inadequate monthly income and being indebted (OR = 0.400, 95% CI = 0.17 – 0.96) had a negative association with QOL.