TitleControl of Electric Drive fed by Matrix Converter using Soft Computing Techniques
Paper IDgm5ty
KeywordsMatrix converter(MC), Induction Motor(IM), Direct Torque Control, Fuzzy PI Control, ANFIS, PSO, \nACO.
Abstract
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A matrix converter is an ac-ac power converter topology that has received extensive research attention as
an alternative to traditional ac-dc-ac converter. A matrix converter is able to convert energy from an ac source to ac
load without the need of bulky and limited-lifetime energy-storage elements. This paper discusses the novel
techniques for controlling matrix converters using intelligent techniques, thereby controlling an electrical drive. PI
controllers are employed for speed control (Direct Torque Control) of 3Φ Induction Motor drives. Various
intelligent techniques adopted in this paper for control are Fuzzy Logic and Adaptive Neuro Fuzzy Inference System
(ANFIS). Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) are the various optimization
techniques proposed to optimize the gains of PI controllers of the process. The performance of the system is
compared in terms of time domain specifications using intelligent and various optimization techniques and
simulation results are presented. The investigation in this paper reveals that ACO based optimization is better in all
aspects than PSO based techniques.

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TitleUltra Fast Lithium Cell Charging Architecture for Mission Critical Applications
Paper ID0wQdV
KeywordsLithium Cell, Fast Charging, PWM\nCharge Pump, Mission Critical Application
Abstract
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This research presents design and
implementation of the ultra fast parallel lithium
charging architecture with an embedded algorithm
using an active PWM charge pump supported by a
hybrid control mechanism consisting of
Temperature, humidity and current sensors. The
new architecture guaranties the ultra fast parallel
charging cycles of lithium cells without lifespan
reduction due to possible overheat side effects in
mission critical applications.

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TitleParenting Styles and Attachment Models among Iranian Pre-university students
Paper IDjtkx4
KeywordsAttachment models, children, Parenting styles, Gender differences, Pre-university students
Abstract
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The present study set out to evaluate the role of parenting styles in developing attachment models among Persian students. The participant pool for this research included the whole population of male and female students (n= 240, aging 17-18) selected by cluster sampling from the available pre-university centers in Sabzavar ( a city in Iran) during the school year of 2011-2012. Data was gathered from the survey packet including questionnaires of Demography, Attachment and Parental Authority (P. A. Q.) for fathers as well as mothers in separate forms, filled out by each participant. Performing SPSS version 16, descriptive statistics, correlation and regression analysis were used to analyze the data. Findings revealed that from among 81 formulated hypotheses just 13 were retained. Put differently, the results provided some support to confirm the meaningful relationship between the father\'s authoritative parenting style and the secure attachment model in the whole sample as well as in the girls and also with the anxious- ambivalent insecurity attachment model in the girls. Further, it was indicated that the mother\'s authoritarian parenting style correlated with the avoidance attachment models in the whole sample, boys as well as girls.

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TitleAn Integrated Data Clustering method Based on KHarmonic Means and Imperialist Competitive Algorithm
Paper IDJhRLo
Keywordsdata clustering, k-harmonic means algorithm, imperialist competitive\nalgorithm, optimization
Abstract
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Data clustering is one of the most important tasks of data mining. In this paper, we
proposed a new data clustering method so called ICAKHM based on Imperialist
Competitive Algorithm (ICA) and K-Harmonic Means (KHM) algorithm. Our proposed
method combined the advantageous aspects of ICA and KHM in data clustering
process. ICAKHM not only helps the KHM to escape from local optimal but also
requires less runtime to achieve the global optimal. Based on reported experimental
results on popular data sets, we can say that ICAKHM is an efficient method for data
clustering.

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TitleEARLY WARNING SYSTEM LANDSLIDE
Paper IDvlasO
KeywordsATMEGA8535, Landslide, Extensometer, Disaster Eearly Warning
Abstract
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Indonesia is a country that a lot of valleys, hills and volcanoes. So every year, Indonesia many natural disasters landslides. A landslide is the movement of slope-forming materials such as rocks, debris material, soil, or a mixture of materials, moving down or off the slopes. This research tries to build an early warning system of landslides using microcontroller ATMEGA8535. At ground shifted over 4 cm then this system will sound sirens and danger will contact the village to evacuate its citizens. The results showed that for a landslide early warning system based on microcontroller ATMEGA8535 work well with a resolution of 2 mm shift ground.

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TitleANALYSING THE IMPORTANCE OF LEARNING STYLES’ KNOWLEDGE FOR A TEACHER AT DEGREE LEVEL IN MARDAN, PAKISTAN
Paper ID95Iac
Keywordsstudents’ learning styles, teachers’ knowledge, Mardan (KPK)
Abstract
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The purpose of this paper is to analyze the fact that a learning group is a combination of different types of learners and a teacher should first find out each learners individual style of learning and then mold his teaching style according. A group of 200 students were selected through random sampling for purpose of this research. The questionnaire used (VAK Learning Styles Self-Assessment Questionnaire by Chislett and Chapman, 2005) consisted of 30 objective type questions. The purpose of this questionnaire was to find out the ratio of auditory, visual, kinesthetic or a combination style learners in a degree level class room. The data of the questionnaire was analyzed through MS Excel by calculating the percentage for the frequency counts in respect of each category of the responses i.e auditory, visual or kinesthetic.

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TitleAntimicrobial efficacy of orchid extracts as potential inhibitors of antibiotic resistant strains of Escherichia coli
Paper IDErTxu
KeywordsAerides odorata; Acampe papilosa; Acampe ochracea; Escherichia coli; antimicrobial activity; orchids.
Abstract
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Antibiotic resistance is a growing problem. Multidrug-resistant E. coli infection is attaining alarming situation amongst the scientists as the resistance decreases efficacy of other susceptible drugs. Plants including orchids are used in medicinal purposes from the time immemorial to treat dreaded diseases of microbial origin. In this work, three orchid species viz., Aerides odorata, Acampe papilosa & Acampe ochracea that are ethnic to North-East India were investigated for their antimicrobial efficacy against three different strains of Escherichia coli (E. coli) out of which two are resistant to Kanamycin and Ampicillin. Disc plate method was employed for determination of antimicrobial activity of the orchid extracts. Extracts were prepared in different solvents and discs were prepared. The zones of inhibition were measured.

The results suggest that all the three orchid species has good antimicrobial activity against the three strains of E. coli. The work may be further validated using extracts in other solvents and their chromatographic separation followed by structure determination. Although, the work is a preliminary study on antimicrobial screening, but this showed the possible efficacy of the ethnic orchid species and opens a new area for antimicrobial drug design.

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