6,580 research outputs found
Tahap penguasaan, sikap dan minat pelajar Kolej Kemahiran Tinggi MARA terhadap mata pelajaran Bahasa Inggeris
Kajian ini dilakukan untuk mengenal pasti tahap penguasaan, sikap dan minat pelajar
Kolej Kemahiran Tinggi Mara Sri Gading terhadap Bahasa Inggeris. Kajian yang
dijalankan ini berbentuk deskriptif atau lebih dikenali sebagai kaedah tinjauan. Seramai
325 orang pelajar Diploma in Construction Technology dari Kolej Kemahiran Tinggi
Mara di daerah Batu Pahat telah dipilih sebagai sampel dalam kajian ini. Data yang
diperoleh melalui instrument soal selidik telah dianalisis untuk mendapatkan
pengukuran min, sisihan piawai, dan Pekali Korelasi Pearson untuk melihat hubungan
hasil dapatan data. Manakala, frekuensi dan peratusan digunakan bagi mengukur
penguasaan pelajar. Hasil dapatan kajian menunjukkan bahawa tahap penguasaan
Bahasa Inggeris pelajar adalah berada pada tahap sederhana manakala faktor utama yang
mempengaruhi penguasaan Bahasa Inggeris tersebut adalah minat diikuti oleh sikap.
Hasil dapatan menggunakan pekali Korelasi Pearson juga menunjukkan bahawa terdapat
hubungan yang signifikan antara sikap dengan penguasaan Bahasa Inggeris dan antara
minat dengan penguasaan Bahasa Inggeris. Kajian menunjukkan bahawa semakin positif
sikap dan minat pelajar terhadap pengajaran dan pembelajaran Bahasa Inggeris semakin
tinggi pencapaian mereka. Hasil daripada kajian ini diharapkan dapat membantu pelajar
dalam meningkatkan penguasaan Bahasa Inggeris dengan memupuk sikap positif dalam
diri serta meningkatkan minat mereka terhadap Bahasa Inggeris dengan lebih baik. Oleh
itu, diharap kajian ini dapat memberi panduan kepada pihak-pihak yang terlibat dalam
membuat kajian yang akan datang
An Intelligent Auto-Tracking Vehicle
With gas prices at historic highs and fuel-efficient cars in vogue, the time might be perfect to introduce the Smart Car. The chief goal of this paper is designing a smart car with transportation capabilities of a traditional car. The project introduces ways of making car to sense the environment and navigating on its own. The algorithm is implemented using a freescale’s32-bit MPC5604 microcontroller and CODEWARRIOR (IDE) software. It is based on Free Ranging on Grid Technology (FROG) which uses Automated Guided Vehicle Systems (AGV), which are driverless cars. An AGV is a robotic device that follows marks in the floor. The fundamental requirement for this smart car is to sense the given track in a most efficient and in a considerably very short time. The actuators used for lateral and longitudinal control were a servo and a D.C motor respectively. Thus a model car can be designed with electrical, electronic and mechanical systems and can be travelled in smoother and faster way in the track by electromechanical control. In such automated systems, vehicles are programmed to have various features to ensure smooth car navigation, traffic signal control, cameras to monitor and systems to maintain appropriate speed limits etc. Thus in future, this kind of smart cars acts as an intelligent transport system
Turn and Orientation Sensitive A* for Autonomous Vehicles in Intelligent Material Handling Systems
Autonomous mobile robots are taking on more tasks in warehouses, speeding up operations and reducing accidents that claim many lives each year. This work proposes a dynamic path planning algorithm, based on A* search method for large autonomous mobile robots such as forklifts, and generates an optimized, time-efficient path. Simulation results of the proposed turn and orientation sensitive A* algorithm show that it has a 94% success rate of computing a better or similar path compared to that of default A*. The generated paths are smoother, have fewer turns, resulting in faster execution of tasks. The method also robustly handles unexpected obstacles in the path
Fully automated urban traffic system
The replacement of the driver with an automatic system which could perform the functions of guiding and routing a vehicle with a human's capability of responding to changing traffic demands was discussed. The problem was divided into four technological areas; guidance, routing, computing, and communications. It was determined that the latter three areas being developed independent of any need for fully automated urban traffic. A guidance system that would meet system requirements was not being developed but was technically feasible
Collaborative Verification-Driven Engineering of Hybrid Systems
Hybrid systems with both discrete and continuous dynamics are an important
model for real-world cyber-physical systems. The key challenge is to ensure
their correct functioning w.r.t. safety requirements. Promising techniques to
ensure safety seem to be model-driven engineering to develop hybrid systems in
a well-defined and traceable manner, and formal verification to prove their
correctness. Their combination forms the vision of verification-driven
engineering. Often, hybrid systems are rather complex in that they require
expertise from many domains (e.g., robotics, control systems, computer science,
software engineering, and mechanical engineering). Moreover, despite the
remarkable progress in automating formal verification of hybrid systems, the
construction of proofs of complex systems often requires nontrivial human
guidance, since hybrid systems verification tools solve undecidable problems.
It is, thus, not uncommon for development and verification teams to consist of
many players with diverse expertise. This paper introduces a
verification-driven engineering toolset that extends our previous work on
hybrid and arithmetic verification with tools for (i) graphical (UML) and
textual modeling of hybrid systems, (ii) exchanging and comparing models and
proofs, and (iii) managing verification tasks. This toolset makes it easier to
tackle large-scale verification tasks
Design of an obstacle avoidance system for automated guided vehicles
Most Industrial Automated Guided Vehicles CAGV s) follow fixed guide paths embedded in the floor or bonded to the floor surface. Whilst reliable in their basic operation, these AGV systems fail if unexpected obstacles are placed in the vehicle
path. This can be a problem particularly in semi-automated factories where men and AGVs share the same environment. The perfonnance of line-guided AGVs may therefore be enhanced with a capability to avoid unexpected obstructions in the guide path. The research described in this thesis
addresses some fundamental problems associated with obstacle avoidance for utomated vehicles.
A new obstacle avoidance system has been designed which operates by detecting obstacles as they disturb a light pattern projected onto the floor ahead of the AGV. A CCD camera mounted under the front of the vehicle senses obstacles as they emerge into the projection area and reflect the light pattern. Projected light patterns have been used as an aid to static image analysis in the fields f Computer Aided Design and Engineering. This research extends these ideas in a
real-time mobile application. A novel light coding system has been designed which simplifies the image analysis task and allows a low-cost embedded microcontroller to carry out the image processing, code recognition and obstacle avoidance planning functions. An AGV simulation package has been developed as a design tool for obstacle avoidance algorithms. This enables potential strategies to be developed in a high level language and tested via a Graphical User Interface. The algorithms designed using the
simulation package were successfully translated to assembler language and implemented on the embedded system. An experimental automated vehicle has been designed and built as a test bed for the research and the complete obstacle avoidance system was evaluated in the Flexible Manufacturing laboratory at the University of
Huddersfield
Multi-sensor fusion for automated guided vehicle positioning
This thesis presents positioning system of Automated Guided Vehicles or AGV for
short, which is a mobile robot that follows wire or magnetic tape in the floor to
navigate from point to another in workspace. AGV serves in industrial fields to
convey materials and products around the manufacturing facility or warehouse thus,
time of manufacturing process and number of labors can be reduced accordingly. In
contrast, the limitation of its movement specified by the guidance path considered as
a main weakness. In order to make the AGV moves freely without guidance path, it
is essential to know current position first before starts navigate to target place then,
the position has to be updating during movement. For mobile robots positioning and
path tracking, two basic techniques are usually used, relative and absolute
positioning. Relative positioning techniques based on measuring travelled distance
by the robot and accumulate it to its initial position to estimate current position,
which lead to drift error over time. Digital compass, Global Positioning System
(GPS), and landmarks based positioning are examples of absolute positioning
techniques, in which robot position estimated from single reading. Absolute
positioning does not have drift error but the system cost is high and has signal
blockage inside buildings as in case of landmarks and GPS respectively. The
developed positioning system based on odometry, accelerometer, and digital
compass for path tracking. RFID landmarks installed in predefined positions and
ultrasonic GPS used to eliminate drift error in position estimated from odometry and
accelerometer. Radio frequency module is used to transfer sensors reading from the
mobile robot to a host PC has software program written on LabVIEW, which has a
positioning algorithm and graphical display for robot position. The experiments
conducted have illustrated that the developed sensor fusion positioning system can be
integrated with AGV to replace the ordinary guidance system. It will give AGV
flexibility in task manipulation in industrial application
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