Regression between headmaster leadership, task load and job satisfaction of special education integration program teacher

Managing school is a daunting task for a headmaster. This responsibility is exacerbated when it involves the Special Education Integration Program (SEIP). This situation requires appropriate and effective leadership in addressing some of the issues that are currently taking place at SEIP such as task load and job satisfaction. This study aimed to identify the influence of headmaster leadership on task load and teacher job satisfaction at SEIP. This quantitative study was conducted by distributing 400 sets of randomized questionnaires to SEIP teachers across Malaysia through google form. The data obtained were then analyzed using Structural Equation Modeling (SEM) and AMOS software. The results show that there is a significant positive effect on the leadership of the headmaster and the task load of the teacher. Likewise, the construct of task load and teacher job satisfaction has a significant positive effect. However, for the construct of headmaster leadership and teacher job satisfaction, there was no significant positive relationship. This finding is very important as a reference to the school administration re-evaluating their leadership so as not to burden SEIP teachers and to give them job satisfaction. In addition, the findings of this study can also serve as a guide for SEIP teachers to increase awareness of the importance of managing their tasks. This study also focused on education leadership in general and more specifically on special education leadership

Design of an Adaptive Neurofuzzy Inference Control System for the Unified Power-Flow Controller

This paper presents a new approach to control the operation of the unified power-flow controller (UPFC) based on the adaptive neurofuzzy inference controller (ANFIC) concept. The training data for the controller are extracted from an analytical model of the transmission system incorporating a UPFC. The operating points' space is dynamically partitioned into two regions: 1) an inner region where the desired operating point can be achieved without violating any of the UPFC constraints and 2) an outer region where it is necessary to operate the UPFC beyond its limits. The controller is designed to achieve the most appropriate operating point based on the real power priority. In this study, the authors investigated and analyzed the effect of the system short-circuit level on the UPFC operating feasible region which defines the limitation of its parameters. In order to illustrate the effectiveness of the control algorithm, simulation and experimental studies have been conducted using the MATLAB/SIMULINK and dSPACE DS1103 data-acquisition board. The obtained results show a clear agreement between simulation and experimental results which verify the effective performance of the ANFIC controller

Microcontroller based implementation of a fuzzy knowledge based controller

In recent times, fuzzy logic has been used and applied in wide areas, starting from consumer electronics like washing machines to robotics to many industrial control systems like temperature controllers for process plants. Our work describes an implementation of fuzzy logic control algorithm using inexpensive hardware to control the temperature of a system, without any special software tools. A cooling system generally involves complex and time-variant plant, with delays and non- linearity, and often with poorly defined dynamics. Fuzzy logic control algorithm solves problems that are difficult to address with traditional control techniques, and at the same time provides us with a response better than conventional PID controllers. In the present work, this has been proved with the help of MATLAB simulations. Thereafter the program for the fuzzy control algorithm is written in C++ language and implemented through ARDUINO UNO tool kit. Further system functional is tested and the performance is evaluated taking several set-points and disturbances into account. The performance of the hardware is compared with that of MATLAB simulations of the same case and the results are verified

Konflik pengambilan tanah Orang Asli: kajian kes di Johor dan Selangor

Orang Asli merupakan golongan minoriti yang terdapat di Semenanjung Malaysia. Sistem Torrens yang diamalkan oleh Malaysia melalui Kanun Tanah Negara 1965 hanya memberi kepentingan terhadap tanah yang didaftarkan di Pejabat Pendaftaran Tanah, manakala tanah saka Orang Asli yang diwarisi dari generasi ke generasi tidak termasuk dalam sistem pendaftaran. Objektif kajian ini adalah (1) Mengenalpasti konflik yang berlaku akibat daripada pengambilan tanah Orang Asli yang terlibat, (2) Menganalisis kesan pengambilan tanah terhadap masyarakat Orang Asli yang terlibat dan (3) Menjelaskan usaha penyelesaian konflik pengambilan tanah Orang Asli yang terlibat. Bagi mencapai objektif kajian ini, kaedah kualitatif telah digunakan melalui kaedah temubual semi struktur. Temubual ini telah dijalankan ke atas lima belas responden utama daripada pihak berkepentingan iaitu enam orang Tok Batin dan Penolong Batin bagi setiap kampung yang terlibat, dua pegawai daripada pejabat tanah Negeri Johor dan Selangor, tiga pegawai daripada Jabatan Kemajuan Orang Asli , seorang pegawai daripada Suruhanjaya Hak Asasi Malaysia (SUHAKAM), seorang wakil badan bukan kerajaan iaitu Persatuan Orang Asli Semenanjung Malaysia , dan seorang ahli akademik. Hasil kajian mendapati bahawa terdapat konflik di antara masyarakat Orang Asli, konflik di antara Orang Asli dan Pihak Berkuasa serta konflik di antara agensi kerajaan Negeri dan Persekutuan. Kesan pengambilan tanah dapat dilihat melalui kesan terhadap sosiobudaya, persekitaran dan ekonomi masyarakat Orang Asli yang terlibat. Kaedah penyelesaian bagi pengambilan tanah Orang Asli yang terlibat adalah melalui rundingan, bayaran pampasan, menggunakan saluran mahkamah, Dasar Pemberi Milikan Tanah Orang Asli oleh Jabatan Kemajuan Orang Asli dan Inkuiri Nasional oleh Suruhanjaya Hak Asasi Kemanusiaan Malaysia

Application of matlab-based interface for the control of microbioreactor operation

This work presents the use of Arduino-based embedded system interfaced to MATLAB software packages as an alternative cost-effective solution for the control of the microbioreactor operation. In the presented work, a microbioreactor platform with a working volume of approximately 1.5 mL have been fabricated using a low-cost poly (methylmethacrylate) (PMMA) and poly(dimethylsiloxane) (PDMS) polymers. The reactor have been integrated with stirring control, fuzzy logic temperature control, and aeration feature via a miniature air compressor. Control program of the microbioreactor system was established using Simulink, MATLAB software were executed by interfacing the program with Arduino Mega 2560 microcontroller for input and output of signals. Numbers of experimentation were performed to validate and demonstrate the potential of the proposed method. Satisfactorily degree of control and supervision was achieved (± 1-3% of the set-point values). The entire microbioreactor system can be operated stably for a least 48 hours. The work demonstrated the usefulness of MATLAB software in establishing a microbioreactor operating interface that consisted merely few Simulink program block sets and executed on a low-cost Arduino board

A Novel Real-Time MATLAB/Simulink/LEGO EV3 Platform for Academic Use in Robotics and Computer Science

Over the last years, mobile robot platforms are having a key role in education worldwide. Among others, LEGO Robots and MATLAB/Simulink are being used mainly in universities to improve the teaching experience. Most LEGO systems used in the literature are based on NXT, as the EV3 version is relatively recent. In contrast to the previous versions, the EV3 allows the development of real-time applications for teaching a wide variety of subjects as well as conducting research experiments. The goal of the research presented in this paper was to develop and validate a novel real-time educational platform based on the MATLAB/Simulink package and the LEGO EV3 brick for academic use in the fields of robotics and computer science. The proposed framework is tested here in different university teaching situations and several case studies are presented in the form of interactive projects developed by students. Without loss of generality, the platform is used for testing different robot path planning algorithms. Classical algorithms like rapidly-exploring random trees or artificial potential fields, developed by robotics researchers, are tested by bachelor students, since the code is freely available on the Internet. Furthermore, recent path planning algorithms developed by the authors are also tested in the platform with the aim of detecting the limits of its applicability. The restrictions and advantages of the proposed platform are discussed in order to enlighten future educational applications

A modified particle swarm optimization based maximum power point tracking for photovoltaic converter system

This thesis presents a modified Particle Swarm Optimization based Maximum Power Point Tracking for Photovoltaic Converter system. All over the world, many governments are striving to exploit the vast potential of renewable energy to meet the growing energy requirements mainly when the price of oil is high. Maximum Power Point Tracking (MPPT) is a method that ensures power generated in Photovoltaic (PV) systems is optimized under various conditions. Due to partial shading or change in irradiance and temperature conditions in PV, the power-voltage characteristics exhibit multiple local peaks; one such phenomenon is the global peak. These conditions make it very challenging for MPPT to locate the global maximum power point. Many MPPT algorithms have been proposed for this purpose. In this thesis, a modified Particle Swarm Optimisation (PSO)-based MPPT method for PV systems is proposed. Unlike the conventional PSO-based MPPT methods, the proposed method accelerates convergence of the PSO algorithm by consistently decreasing weighting factor, cognitive and social parameters thus reducing the steps of iterations and improved the tracking response time. The advantage of the proposed method is that it requires fewer search steps (converges to the desired solution in a reasonable time) compared to other MPPT methods. It requires only the idea of series cells; thus, it is system independent. The control scheme was first created in MATLAB/Simulink and compared with other MPPT methods and then validated using hardware implementation. The TMS320F28335 eZDSP board was used for implementing the developed control algorithm. The results show good performance in terms of speed of convergence and also guaranteed convergence to global MPP with faster time response compared to the other MPPT methods under typical conditions (partial shading, change in irradiance and temperature, load profile). This demonstrates the effectiveness of the proposed method

Control and monitoring of solar photovoltaic panel using PLC

A renewable energy source plays an important role in electricity generation. Various renewable energy sources like wind, solar, geothermal, ocean thermal, and biomass can be used for generation of electricity and for meeting our daily energy needs. Energy from the sun is the best option for electricity generation as it is available everywhere and is free to harness. On an average the sunshine hour in Malaysia is about eight hours annually also the sun shine shines in Malaysia for about nine months in a year. Electricity from the sun can be generated through the solar photovoltaic modules (SPV). The SPV comes in various power output to meet the load requirement. Maximization of power from a solar photo voltaic module (SPV) is of special interest as the efficiency of the SPV module is very low. A peak power tracker is used for extracting the maximum power from the SPV module. The present work describes the potential system benefits of simple tracking solar system using stepper motor and light sensor. This method increases power collection efficiency by developing a device that tracks the sun to keep the panel at the right angle to its rays. A solar tracking system is designed, implemented and experimentally tested. The design details and the experimental results are shown

Pembinaan enjin pencariodits (online database for information technology student) di Politeknik Ungku Omar

Kajian ini adalah berkisar tentang pembelajaran rnelalui pencarian maklumat pembelajaran menggunakan enjin pencari. Terdapat banyak jenis enjin pencari yang popular di dalam internet seperti Yahoo, Google, Altavista, Infoseek dan Excite. Namun begitu, enjin pencari tersebut mempamerkan keputusan carian secara meluas dan ada kalanya tidak berkaitan dengan carian topik. Oleh sebab itu, pengguna internet perlu mempunyai kemahiran untuk melakukan carian bagi mendapatkan keputusan carian yang bersesuaian dengan carian ke atas topik. Pengguna internet juga mesti mengkaji dan mempraktikkan beberapa teknik untuk memperincikan keputusan carian dalam memperolehi maklumat yang relevan. Alternatif kepada masalah ini adalah membangunkan enjin pencari ODITS untuk kegunaan pelajar. Di dalam enjin pencari ini, aspek-aspek yang dikaji adalah rekabentuk antaramuka, penggunaan enjin pencari dalam mendapatkan bahan pembelajaran, pembelajaran kendiri dan rujukan tambahan untuk kegunaan pelajar. Seramai 28 orang pelajar Diploma Teknologi Maklumat semester III dipilih sebagai responden. Instrumen kajian yang digunakan adalah borang soal selidik. Ia dibahagikan kepada 5 bahagian iaitu bahagian A (demografi), bahagian B (bahan pembelajaran), bahagian C (pembelajaran kendiri) dan bahagian E (rujukan tambahan). Data-data yang diperolehi dianalisis dengan menggunakan perisian SPSS (Statistical Packages for the Social Sciences). Data-data dipaparkan di dalam bentuk min, peratusan dan sisihan piawai. Keputusan dibentangkan dalam bentuk jadual dan rajah. Dapatan kajian menunjukkan bahawa rekabentuk antaramuka enjin pencari ODITS adalah menarik dan enjin pencari ODITS boleh dijadikan bahan pembelajaran. Selain itu, pembelajaran kendiri dapat dilaksanakan dan penggunaan enjin pencari ini boleh dijadikan sebagai rujukan tambahan kepada para pelajar. Akhir sekali, beberapa cadangan untuk kajian lanjutan telah dikemukakan

Robust Fuzzy Controllers Using FPGAs

Electro-mechanical device controllers typically come in one of three forms, proportional (P), Proportional Derivative (PD), and Proportional Integral Derivative (PID). Two methods of control are discussed in this paper; they are (1) the classical technique that requires an in-depth mathematical use of poles and zeros, and (2) the fuzzy logic (FL) technique that is similar to the way humans think and make decisions. FL controllers are used in multiple industries; examples include control engineering, computer vision, pattern recognition, statistics, and data analysis. Presented is a study on the development of a PD motor controller written in very high speed hardware description language (VHDL), and implemented in FL. Four distinct abstractions compose the FL controller, they are the fuzzifier, the rule-base, the fuzzy inference system (FIS), and the defuzzifier. FL is similar to, but different from, Boolean logic; where the output value may be equal to 0 or 1, but it could also be equal to any decimal value between them. This controller is unique because of its VHDL implementation, which uses integer mathematics. To compensate for VHDL's inability to synthesis floating point numbers, a scale factor equal to 10(sup (N/4) is utilized; where N is equal to data word size. The scaling factor shifts the decimal digits to the left of the decimal point for increased precision. PD controllers are ideal for use with servo motors, where position control is effective. This paper discusses control methods for motion-base platforms where a constant velocity equivalent to a spectral resolution of 0.25 cm(exp -1) is required; however, the control capability of this controller extends to various other platforms