1,720,964 research outputs found
Development of obstacle detection and avoidance system based on integration of different based-sensor for small-sized unmanned aerial vehicle using cues from expansion of feature points and direction of flow field vectors
Achieving a reliable obstacle detection and avoidance system that can provide an
effective safe avoidance path for small unmanned aerial vehicle (UAV) is very
challenging due to its physical size and weight constraints. Prior works tend to
employ the vision based-sensor as the main detection sensor but resulting to high
dependency on texture appearance while not having a distance sensing capabilities.
Besides, vision-based sensor detection system suffers from creating a trusted safe
avoidance path due to inability to detect the free region. The previous system only
focused on the detection of the frontal obstacle without observing the environment as
a whole which is strictly not resemble the real environment. On the other hand, most
of the wide spectrum range sensors are heavy and expensive hence not suitable for
small UAV. In this thesis, integration of different based-sensor was proposed for a
small UAV obstacle detection and avoidance system. Cues from expansion of the
features points are used to extract the depth information of the environment and
classify the region in the predictable obstacle appearance situation. In the
unpredictable obstacle appearance situation, the detection of the obstacle is done by
analysing the flow field vectors in the image frames sequence. The proposed system
was evaluated by conducting the experiments in a real environment for both of the
observed situations, which consisted of different configuration of the obstacles. The
results show that the proposed system able to create the safe avoidance path
regardless of the texture appearance (e.g. poor texture or textureless) and size of the
obstacle. It also able to handle multiple obstacles with the distance of the introduced
side obstacle was up to 270 cm from the UAV platform. In addition, the success rate
for the sudden introduced obstacle experiments is high which is 70 % and above. It is
also found that the safe avoidance path by the proposed system will depend on the
situation and position of the obstacle in the environment. Finally, the obstacle
appearance in the image views plays a critical role in deciding the direction of the
safe avoidance path
Development Of Hydraulic Launch Assist Testbench
The hydraulic hybrid systems are design to reduce the fuel consumption of vehicle in
automotive industry. The secondary power source for hydraulic hybrid systems are hydraulic
component that is connected to energy storage. The energy use back to assist the vehicle during
acceleration by hydraulic motor. The focus of the research is to design a suitable configuration
for the Perodua Myvi to be modified to become a hydraulic hybrid vehicle. The configuration
that is plan to be installed on the rear wheel to avoid complexity since Perodua Myvi is front�wheel-drive the rear wheels are spin freely. Due to that, the hydraulic acceleration boost system
is implement onto the rear axle of Perodua Myvi. The performance of the hydraulic component
is measured and compared to the drive cycle by World Harmonised Light Vehicle Test
Procedure, (WLTP). The percentage different for the maximum acceleration from the result
and drive cycle is 65.412 %. For the average acceleration from the result and drive cycle is
38.412%.The energy recovery during the hydraulic acceleration boost is also being measured.
The energy that are able to recover is in the range 23% to 29 %
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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