1,833 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
Find your Way by Observing the Sun and Other Semantic Cues
In this paper we present a robust, efficient and affordable approach to
self-localization which does not require neither GPS nor knowledge about the
appearance of the world. Towards this goal, we utilize freely available
cartographic maps and derive a probabilistic model that exploits semantic cues
in the form of sun direction, presence of an intersection, road type, speed
limit as well as the ego-car trajectory in order to produce very reliable
localization results. Our experimental evaluation shows that our approach can
localize much faster (in terms of driving time) with less computation and more
robustly than competing approaches, which ignore semantic information
Expanding Navigation Systems by Integrating It with Advanced Technologies
Navigation systems provide the optimized route from one location to another. It is mainly assisted by external technologies such as Global Positioning System (GPS) and satellite-based radio navigation systems. GPS has many advantages such as high accuracy, available anywhere, reliable, and self-calibrated. However, GPS is limited to outdoor operations. The practice of combining different sources of data to improve the overall outcome is commonly used in various domains. GIS is already integrated with GPS to provide the visualization and realization aspects of a given location. Internet of things (IoT) is a growing domain, where embedded sensors are connected to the Internet and so IoT improves existing navigation systems and expands its capabilities. This chapter proposes a framework based on the integration of GPS, GIS, IoT, and mobile communications to provide a comprehensive and accurate navigation solution. In the next section, we outline the limitations of GPS, and then we describe the integration of GIS, smartphones, and GPS to enable its use in mobile applications. For the rest of this chapter, we introduce various navigation implementations using alternate technologies integrated with GPS or operated as standalone devices
Software architecture for self-driving navigation
Mención Internacional en el título de doctorThis dissertation is based on the development of the navigation software architecture for
self-driving vehicles. The goal is very wide in terms of multidisciplinary fields over the
different solutions provided, however, functional solutions for the implementation according
to the software architecture has been proved and tested in the real research platform iCab
(Intelligent Campus Automobile).
The problems that the autonomous vehicles have to face are based accordingly as the
three questions of navigation that each vehicle has to ask: Where am I, where should I go,
and how can I go there. These questions are followed by the corresponding modules to solve
that are divided into localization, planning, mapping, perception and control in addition to
multitasking allocation, communication and Human-Machine Interaction. One more module
is the self-awareness which is an optimal solution for detecting problems in the earliest stage.
Throughout this document, the solution provided in form of a complete architecture
for navigation describes the modules involved and the importance of software connections
between them, generation of trajectories, mapping, localization and low level control. Finally,
the results section describes scenarios and vehicle/software performance in terms of CPU for
each module involved and the generation of trajectories, maps and control commands needed
to move the vehicle from one point to another.Este documento es el resultado de cinco años de trabajo en el campo de los vehículos sin
conductor donde, en el, se recoge el desarrollo de una arquitectura software de control para la
navegación de este tipo de vehículos. El objetivo es muy ambicioso ya que para su desarrollo
ha sido necesario el conocimiento de múltiples disciplinas como ingeniería electrónica,
ingeniería informática, ingeniería de control, procesamiento de señales, mecánica y visión
por computador. A pesar del vasto conocimiento necesario para lograr un vehículo funcional,
se han alcanzado soluciones para cada uno de los problemas en que consiste la navegación
autónoma, generando un vehículo autogobernado que toma decisiones por si mismo para
evitar obstáculos y alcanzar los puntos de destino deseados.
Los problemas principales que los vehículos autónomos tienen que hacer frente, están
basados en tres preguntas principales: donde estoy, donde tengo que ir y como voy. Para
responder a estas tres preguntas se ha dividido la arquitectura en los módulos siguientes:
localización, planificación, mapeado del entorno y control junto con módulos extra para
dotar al sistema de mas aptitudes y mejor funcionamiento como por ejemplo la comunicación
entre vehículos, peatones e infraestructuras, la interacción humano máquina, la gestión de
tareas con múltiples vehículos o la propia consciencia del vehículo en cuanto a su estado de
baterías, mantenimiento, sensores conectados o desconectados, etc.
A través de este documento, la solución proporcionada a cada uno de los módulos
involucrados refleja la importancia de las conexiones de software y la comunicación entre
procesos dentro de la arquitectura ya sea para la generación de trayectorias, la creación de
los mapas a tiempo, la localización precisa en el entorno, o los comandos generados para
gobernar el vehículo. Así mismo, en el apartado de resultados se pone de manifiesto la
importancia de cumplir los plazos de compartición de mensajes y optimizar el sistema para
no sobrecargar la CPU.Programa Oficial de Doctorado en Ingeniería Eléctrica, Electrónica y AutomáticaPresidente: Felipe Jiménez Alonso.- Secretario: Agapito Ismael Ledezma Espino.- Vocal: Alessio Malizi
Teleoperated visual inspection and surveillance with unmanned ground and aerial vehicles,” Int
Abstract—This paper introduces our robotic system named UGAV (Unmanned Ground-Air Vehicle) consisting of two semi-autonomous robot platforms, an Unmanned Ground Vehicle (UGV) and an Unmanned Aerial Vehicles (UAV). The paper focuses on three topics of the inspection with the combined UGV and UAV: (A) teleoperated control by means of cell or smart phones with a new concept of automatic configuration of the smart phone based on a RKI-XML description of the vehicles control capabilities, (B) the camera and vision system with the focus to real time feature extraction e.g. for the tracking of the UAV and (C) the architecture and hardware of the UAV
Towards autonomous localization and mapping of AUVs: a survey
Purpose The main purpose of this paper is to investigate two key elements of localization and mapping of Autonomous Underwater Vehicle (AUV), i.e. to overview various sensors and algorithms used for underwater localization and mapping, and to make suggestions for future research.
Design/methodology/approach The authors first review various sensors and algorithms used for AUVs in the terms of basic working principle, characters, their advantages and disadvantages. The statistical analysis is carried out by studying 35 AUV platforms according to the application circumstances of sensors and algorithms.
Findings As real-world applications have different requirements and specifications, it is necessary to select the most appropriate one by balancing various factors such as accuracy, cost, size, etc. Although highly accurate localization and mapping in an underwater environment is very difficult, more and more accurate and robust navigation solutions will be achieved with the development of both sensors and algorithms.
Research limitations/implications This paper provides an overview of the state of art underwater localisation and mapping algorithms and systems. No experiments are conducted for verification.
Practical implications The paper will give readers a clear guideline to find suitable underwater localisation and mapping algorithms and systems for their practical applications in hand.
Social implications There is a wide range of audiences who will benefit from reading this comprehensive survey of autonomous localisation and mapping of UAVs.
Originality/value The paper will provide useful information and suggestions to research students, engineers and scientists who work in the field of autonomous underwater vehicles
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