European Journal of Scientific Research

Volume 132 No 4
May, 2015

Performance of DVR and DSTATCOM with Multilevel Inverter for Sag Mitigation
G. Annapurna and G.Tulasiramdas
Voltage sags are the most commonly occurring power quality problems in a power system and their severe impact on sensitive loads may result in equipment failure and sometimes shut down of the system also. These sags can be mitigated by connecting custom power devices either in shunt or in series to the load. This paper presents voltage sag reduction using three and five level Neutral Point Clamped Inverter based DVR and DSTATCOM employing CBSVPWM scheme. Diode clamped multilevel inverters with CBSVPWM are most widely used because of their simple digital implementation. Conventional SVPWM gives good performance, but switching time calculation and sector identification is complex. In order to reduce the complexity involved in conventional SVPWM , carrier based SVPWM is presented in this paper. Simulation results carried out by MATLAB/ SIMULINK proves that the voltage sag compensation is perfect with negligible THD using CBSVPWM.
Keywords: DVR(Dynamic Voltage Restorer), D-STATCOM (Distribution static Compensator), Space Vector Modulation, Neutral Point Clamped Inverter, THD(Total Harmonic Distortion).

Data Mining Association Rules for Heart Disease Prediction System
R.Thanigaivel and Dr. K.Ramesh Kumar
Data mining techniques have been applied magnificently in many fields including business, science, the Web, cheminformatics, bioinformatics, and on different types of data such as textual, visual, spatial, real-time and sensor data. Medical data is still information rich but knowledge poor. There is a lack of effective analysis tools to discover the hidden relationships and trends in medical data obtained from clinical records. This paper reviews the state-of-the-art research on heart disease diagnosis and prediction.
Keyword: Data Mining, Association Rules, Heart Diseases, Prediction.

Wrapper Feature Selection Methods along with Support Vector Machine in Disease Classification
Divya Chandra Babu, Lekshmi A Kumar and M.V Judy Nair
Disease prediction is a task of Classification in data mining. Data mining offers many techniques for classification. In our study we have analyzed Support Vector Machine (SVM) along with Wrapper methods for feature selection to predict the case and controls within the datasets. Support Vector Machine is a popular machine learning technique. SVM are known to have high accuracy and works well with data which is not linearly separable .In this study we intend to show the significance of SVM by applying the different feature selection methods.Forward Selection, a greedy heuristic search and SVM-RFE, a weight based ranking selection have been applied on the datasets. The two feature selection methods have been applied on Pima Indian Diabetes dataset and Breast Cancer Wisconsin datasets from UCI repository in our study. The hyperparameter estimation was done using grid search,which has been performed to find the most optimal values for c and γ parameters. From our study we have found that SVM-RFE generates a higher classification accuracy rate and works well in a higher dimensional data when compared to that of Forward selection.
Keyword: Support Vector Machine, Forward Feature Selection, SVM-Recursive Feature Elimination (SVM- RFE)

Theoretization of Africapitalism Concept
Ezekiel Oseni and Elizabeth Funmi Oseni
The introduction of Africapitalism, a concept coined from Africa and capitalism throws up a lot of discussion among capitalists and policy makers in Africa who for a long time now have tried several strategies without success to attract and retain investments on the African continent. The concept which firmly states that for a continent that is well endowed with natural and human resources required for growth and development but being ravaged by poverty and wars, the solution lies in a home grown economic policy and strategy. The aim of the study was to examine the concept, its adaptability as Africa’s capital attraction and economic development strategy and the likelihood of its evolution into an investment and /or economic development theory. The study concludes that Africapitalism is distinct and possesses the qualities of a good investment and economic development policy that within a short time could stand side by side with earlier theories.
Keywords: Africapitalism, Economic growth, African continent, Investment, Theory
JEL Classification: F21, O1, O4, P1

A Novel Approach Employing RAKE Receiver and Sample-Based Despread-Respread Adaptive Beamforming for Multiuser Detection in CDMA systems
Raed S.H. AL-Musawi
In this paper, we present a novel combination of the three-finger RAKE receiver and the Normalized Least Mean Square-Despread Respread Multi Target Array (NLMS-DRMTA) beamforming algorithm for applications in multiuser detection in wideband Code Division Multiple Access (CDMA) systems. The proposed approach utilizes both temporal diversity of the RAKE receiver and the space diversity of smart antenna array, leading to a significant improvement in Bit Error Rate (BER) performance, as well as a reduction interferences and multipath effects. The BER of the proposed receiver was benchmarked against the conventional CDMA, the Block-Based (BB) Least Squares (LS-DRMTA) and BB Least Squares-Despread Respread Multi Target Constant Modulus Array (LS-DRMTCMA) receivers. Both the RAKE and non-RAKE cases were considered for the CDMA and the two block-based beamformer receivers. The BER results confirm that the proposed receiver outperforms all other methods considered in this paper by two orders of magnitude. In addition, our approach can handle cases in which the number of users exceeds that of the antenna array elements without sacrificing performance. Hence, it is a more efficient method for increasing channel capacity. Consequently, it opens the way for a more efficient solution for minimizing the effects of multipath fading and interference in multiuser detection, thereby improving the quality of services.
Keywords: CDMA receivers, Smart Antenna, RAKE receiver, DRMTA adaptive algorithms, combined adaptive beamformer-RAKE receiver

Hepatitis B Immunization Status of Primary and Secondary School Teachers in North Western Nigeria
The objective of this survey was to determine the immunization status of teachers in some primary and secondary schools in North-western Nigeria and to evaluate their knowledge and attitude towards the Hepatitis B (HBV) immunization program..

Classic Apriori:Implementation Of Modified Apriori Algorithm In MATLAB For Paddy Crops Disease Prediction Using Data Mining Techniques
S.A. Ramesh Kumar and Dr. K. Ramesh Kumar
Automation of essential processes in agriculture is becoming widespread, especially when fast actionis required. However, some processes that could greatly benefit from some degree of automation have such difficultcharacteristics, that even small improvements pose a great challenge. This is the case of paddy disease diagnosis, aproblem of great economic, social and ecological interest. Difficult problems like this often require a inter disciplinary approach to be tackled properly, as multifaceted issues can greatly benefit from the inclusion of different perspectives.In this context, this paper presents the most recent advances in research subjects such as data mining algorithm applied to paddydisease diagnosis, and give the solution,and discusses how those advances may be combined to support future developments towards more effective diagnosistools. The paper finishes suggesting a possible solution to increase the degree of automation of paddy disease diagnosistools.
Keywords: Classification, association set rules, K-nearest neighbor, apriori algorithm

Institutional Initiative in U.A.E to Promote Entrepreneurial Ventures in U.A.E
Rija Murtaza Sayeed, Sofia Khurshid, Fazeela Shah, Kulsoom Safdar, Hiba Amjad and Mateen Rabbani
One of the basic source of economic progress in a country is its entrepreneurial activities that helps in establishing foundations of economic growth in the world. This paper tends to explore the entrepreneurial activities initiated by the UAE and its state government by analyzing the problem statement and its objectives. The paper discusses about the research conducted by various institutions analyzing different institutions indulging in promoting entrepreneurial activities along with their support and relevant funds. It also shows the various state government and private institutions that have contributed their roles in prompting entrepreneurs and entrepreneurial activities within the United Arab Emirates.

Evaluation des composés nutritionnels et anti- nutritionnels du gland de chêne vert (Quercus ilex L.) du mont de Tessala (Algérie occidentale).
Zouaoui Hazem, Hachemi Benhassaini, Zoheir Mehdadi and Meriem Belarbi
Notre étude consiste à évaluer les composés nutritionnels et antinutritionnels existants dans la farine du gland de chêne vert (Quercus ilex L.), poussant à l’état spontané dans le nord d’Algérie.
L’étude biochimique nous a permis de mettre en évidence les différents métabolites issus du métabolisme basal tel que les composés nutritionnels (lipides, protéines, sucres, cendres, amidon et cellulose) et antinutritionnels (phénols totaux, tanins condensés et tanins hydrolysables) au niveau de la farine.
Les résultats obtenus montrent que les fractions glucidiques et lipidiques constituent la majeure partie des réserves du gland, avec un taux de 45 % pour l’amidon et 7,56 % pour les lipides. Cependant, les teneurs en matières minérales, protéines et cellulose brute sont relativement faibles et présentent respectivement des pourcentages de 1.49 %, 6.81 % et 2.56 %. Aussi, de faibles teneurs en phénols totaux (0,49%), tanins condensés (0.23%), tanins hydrolysables (0,0014%) et en acide phytique (80 mg/ml) ont été mis en évidence.
Keywords:Chêne vert (Quercus ilex L.), farine de gland, composés nutritionnels et anti nutritionnels.

Plantes médicinales utilisées pour le traitement des affections de l’appareil circulatoire dans le Gouvernorat de Hadhramout (Yémen)
Bahassan Ahmed, Zidane Lahcen and Rochdi Atmane
Une étude ethnobotanique des plantes médicinales Yéménites a été réalisée au moyen d’une recherche prospective et analytique parmi la population locale et quelques tradi-praticiens, dans 14 municipalités du gouvernorat de Hadramaout, afin d'identifier les plantes utilisées en médecine traditionnelle contre les maladies de l’appareil circulatoire. Les résultats obtenus montrent que 44 % des répondants utilisent la médecine traditionnelle seule et 54 % combinent la médecine traditionnelle et la médecine moderne, tandis qu'environ 2 % n'utilisent que la médecine moderne. La médecine traditionnelle à Hadhramout est très répandue, surtout dans les zones nomades et dans l'île de Socotra et elle est très originale grâce au nombre de la flore locale endémique.102 espèces de plantes médicinales, réparties en 86 genres et 49 familles botaniques, sont utilisées en phytothérapie pour le traitement des affections de l’appareil circulatoire. Les Fabaceae, Solanaceae, Apiaceae, Asteraceae et Brassicaceae sont parmi les familles les plus exploitée. Les résultats montrent aussi que les affections de l’appareil circulatoire sont traitées surtout par le feuillage qui est la partie végétale le plus utilisée (25.62 %) et que la décoction est le mode de préparation le plus dominant (44.05 %).
Keywords: Yémen, Île de Socotra, ethnobotanique, plantes médicinales, appareil circulatoire.