1,439 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
Mobile robot transportation in laboratory automation
In this dissertation a new mobile robot transportation system is developed for the modern laboratory automation to connect the distributed automated systems and workbenches. In the system, a series of scientific and technical robot indoor issues are presented and solved, including the multiple robot control strategy, the indoor transportation path planning, the hybrid robot indoor localization, the recharging optimization, the robot-automated door interface, the robot blind arm grasping & placing, etc. The experiments show the proposed system and methods are effective and efficient
A robot swarm assisting a human fire-fighter
Emergencies in industrial warehouses are a major concern for fire-fighters. The large dimensions, together with the development of dense smoke that drastically reduces visibility, represent major challenges. The GUARDIANS robot swarm is designed to assist fire-fighters in searching a large warehouse. In this paper we discuss the technology developed for a swarm of robots assisting fire-fighters. We explain the swarming algorithms that provide the functionality by which the robots react to and follow humans while no communication is required. Next we discuss the wireless communication system, which is a so-called mobile ad-hoc network. The communication network provides also the means to locate the robots and humans. Thus, the robot swarm is able to provide guidance information to the humans. Together with the fire-fighters we explored how the robot swarm should feed information back to the human fire-fighter. We have designed and experimented with interfaces for presenting swarm-based information to human beings
RFID Localisation For Internet Of Things Smart Homes: A Survey
The Internet of Things (IoT) enables numerous business opportunities in
fields as diverse as e-health, smart cities, smart homes, among many others.
The IoT incorporates multiple long-range, short-range, and personal area
wireless networks and technologies into the designs of IoT applications.
Localisation in indoor positioning systems plays an important role in the IoT.
Location Based IoT applications range from tracking objects and people in
real-time, assets management, agriculture, assisted monitoring technologies for
healthcare, and smart homes, to name a few. Radio Frequency based systems for
indoor positioning such as Radio Frequency Identification (RFID) is a key
enabler technology for the IoT due to its costeffective, high readability
rates, automatic identification and, importantly, its energy efficiency
characteristic. This paper reviews the state-of-the-art RFID technologies in
IoT Smart Homes applications. It presents several comparable studies of RFID
based projects in smart homes and discusses the applications, techniques,
algorithms, and challenges of adopting RFID technologies in IoT smart home
systems.Comment: 18 pages, 2 figures, 3 table
GUARDIANS final report part 1 (draft): a robot swarm assisting a human fire fighter
Emergencies in industrial warehouses are a major concern for fire fighters. The large dimensions together with the development of dense smoke that drastically reduces visibility, represent major challenges. The Guardians robot swarm is designed to assist re ghters in searching a
large warehouse. In this paper we discuss the technology developed for a swarm of robots assisting re ghters. We explain the swarming algorithms which provide the functionality by which the robots react to and follow humans while no communication is required. Next we discuss the wireless communication system, which is a so-called mobile ad-hoc network. The communication network provides also the means to locate the robots and humans. Thus the robot swarm is able to provide guidance information to the humans. Together with the fire fighters we explored how
the robot swarm should feed information back to the human fire fighter. We have designed and experimented with interfaces for presenting swarm based information to human beings
GUARDIANS final report
Emergencies in industrial warehouses are a major concern for firefghters. The large dimensions together with the development of dense smoke that drastically reduces visibility, represent major challenges. The Guardians robot swarm is designed to assist fire fighters in searching a
large warehouse. In this report we discuss the technology developed for a swarm of robots searching and assisting fire fighters. We explain the swarming algorithms which provide the functionality by which the robots react to and follow humans while no communication is required. Next we
discuss the wireless communication system, which is a so-called mobile ad-hoc network. The communication network provides also one of the means to locate the robots and humans. Thus the robot swarm is able to locate itself and provide guidance information to the humans. Together with
the re ghters we explored how the robot swarm should feed information back to the human fire fighter. We have designed and experimented with interfaces for presenting swarm based information to human beings
Coordination and Control for a Team of Mobile Robots in an Unknown Dynamic Environment
This research presents a dual-level control structure for controlling a mobile robot or a group of robots to navigate through a dynamic environment (such as an object is moving in the workspace of a robot). The higher-level controller operates in cooperation with robot’s state estimation and mapping algorithm, Extended Kalman Filter – Simultaneous Localization and Mapping (EKFSLAM), and the lower-level controller (PID) controls the motion of the robot when it, encounters an obstacle, i.e., it reorients the robot to a predefined rebound angle and move it straight to maneuver around the obstacle until the robot is out of the obstacle range. The higher-level controller jumps in as soon as the robot is out of the obstacle range and moves the robot to the goal. The obstacle avoidance technique involves a novel approach to calculate the rebound angle. Further, the research implements the aforementioned technique to a Leader-Follower formation. Simulation and Experimental results have verified the effectiveness of the proposed control law
Cooperative strategies for the detection and localization of odorants with robots and artificial noses
En este trabajo de investigación se aborda el diseño de una plataforma robótica
orientada a la implementación de estrategias de búsqueda cooperativa bioinspiradas.
En particular, tanto el proceso de diseño de la parte electrónica como
hardware se han enfocado hacia la validación en entornos reales de algoritmos
capaces de afrontar problemas de búsqueda con incertidumbre, como lo es la búsqueda
de fuentes de olor que presentan variación espacial y temporal. Este tipo
de problemas pueden ser resueltos de forma más eficiente con el empleo de enjambres
con una cantidad razonable de robots, y por tanto la plataforma ha sido
desarrollada utilizando componentes de bajo coste. Esto ha sido posible por la
combinación de elementos estandarizados -como la placa controladora Arduino
y otros sensores integrados- con piezas que pueden ser fabricadas mediante una
impresora 3D atendiendo a la filosofÃa del hardware libre (open-source).
Entre los requisitos de diseño se encuentran además la eficiencia energética
-para maximizar el tiempo de funcionamiento de los robots-, su capacidad de
posicionamiento en el entorno de búsqueda, y la integración multisensorial -con la
inclusión de una nariz electrónica, sensores de luminosidad, distancia, humedad
y temperatura, asà como una brújula digital-. También se aborda el uso de una
estrategia de comunicación adecuada basada en ZigBee. El sistema desarrollado,
denominado GNBot, se ha validado tanto en los aspectos de eficiencia energética
como en sus capacidades combinadas de posicionamiento espacial y de detección
de fuentes de olor basadas en disoluciones de etanol.
La plataforma presentada -formada por el GNBot, su placa electrónica GNBoard
y la capa de abstracción software realizada en Python- simplificará por
tanto el proceso de implementación y evaluación de diversas estrategias de detección,
búsqueda y monitorización de odorantes, con la estandarización de enjambres
de robots provistos de narices artificiales y otros sensores multimodales.This research work addresses the design of a robotic platform oriented towards
the implementation of bio-inspired cooperative search strategies. In particular, the
design processes of both the electronics and hardware have been focused towards
the real-world validation of algorithms that are capable of tackling search problems
that have uncertainty, such as the search of odor sources that have spatio-temporal
variability. These kind of problems can be solved more efficiently with the use of
swarms formed by a considerable amount of robots, and thus the proposed platform
makes use of low cost components. This has been possible with the combination
of standardized elements -as the Arduino controller board and other integrated
sensors- with custom parts that can be manufactured with a 3D printer attending
to the open-source hardware philosophy.
Among the design requirements is the energy efficiency -in order to maximize
the working range of the robots-, their positioning capability within the search environment,
and multiple sensor integration -with the incorporation of an artificial
nose, luminosity, distance, humidity and temperature sensors, as well as an electronic
compass-. Another subject that is tackled is the use of an efficient wireless
communication strategy based on ZigBee. The developed system, named GNBot,
has also been validated in the aspects of energy efficiency and for its combined capabilities
for autonomous spatial positioning and detection of ethanol-based odor
sources.
The presented platform -formed by the GNBot, the GNBoard electronics and
the abstraction layer built in Python- will thus simplify the processes of implementation
and evaluation of various strategies for the detection, search and monitoring
of odorants with conveniently standardized robot swarms provided with artificial
noses and other multimodal sensors
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