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L3 Report
L3 Report
Gliding is an efficient and versatile way to traverse large distances whilst expending as little energy as possible. Work done in the field of biomimetic robotics has demonstrated further benefits to gliding in increasing trajectory control and reducing landing impact loads. A small-scale micro-glider was built to fit a specific design envelope with the objective of maximizing its glide range. A linear dynamics model was used to design and predict the gliding performance of the robot. Once manufactured, it achieved a glide distance of 1.8m and the performance was accurately captured by the dynamics model.
Mansoor Aman
NOMBRE CÓDIGO - JERARQUIZACIÓN
NOMBRE CÓDIGO - JERARQUIZACIÓN
JERARQUIZACIÓN DE PRODUCTOS EN AMAZON
Kiara Lucas
Surabhi Bhargava's single page resume
Surabhi Bhargava's single page resume
Clone from https://github.com/surabhibhargava/LaTex-Resume in order to use this template.
surabhi bhargava
MOCO'16 Conference Proceedings Format
MOCO'16 Conference Proceedings Format
Downloaded from http://moco16.multimedia.uom.gr/index.php/papers/authors NOTE: The original template did not include a sample bibtex file
Moco 2016 Conference
El Laberinto en la Metodologia de la Diferencia Temporal
El Laberinto en la Metodologia de la Diferencia Temporal
La solucion a un problema dado consiste en encontrar un camino desde un nodo representando el estado inicial, hasta el estado final deseado.
grupos5j
Émade - A Dictionary
Émade - A Dictionary
Émadian Dictionary
tarheelscouse
GenNet: A Tool for Qualitative and Quantitative Modelling of Gene Regulatory Networks
GenNet: A Tool for Qualitative and Quantitative Modelling of Gene Regulatory Networks
Gene regulatory networks have an important role to study the behaviour of genes. By analysing these Gene Regulatory Networks we can get the detailed information i.e. the occurrence of diseases by changing behaviour of GRNs. Many different approaches are used (i.e. qualitative modelling and hybrid modelling) and various tools (i.e. GenoTech, GINsim) have been developed to model and simulate gene regulatory networks. GenoTech allows the user to specify a GRN on Graphical User Interface (GUI) according to the asynchronous multivalued logical functions of René Thomas, and to simulate and/or analyse its qualitative dynamical behaviour. René Thomas discrete modelling of gene regulatory network (GRN) is a well known approach to study the dynamics of genes. It deals with some parameters which reflect the possible targets of trajectories. Those parameters are priory unknown. These unknown parameters are fetched using another model checking tool SMBioNet. SMBioNet produces all the possible parameters satisfying the given Computational Logic Tree (CTL) formula as input. This approach involving logical parameters and conditions also known as qualitative modelling of GRN. However, this approach neglects the time delays for a gene to pass from one level of expression to another one i.e. inhibition to activation and vice versa. To find out these time delays, another modelling tool HyTech is used to perform hybrid modelling of GRN. We have developed a Java based tool called GenNet http://asanian.com/gennet to facilitate the model checking user by providing a unique GUI layout for both qualitative and quantitative modelling of GRNs. As we discussed, three separate modelling tools are used for complete modelling and analysis of a GRN. This process is much lengthy and takes too much time. GenNet assists the modelling users by providing some extra features i.e. CTL editor, parameters filtering and input/output files management. GenNet takes a GRN network as input and does all the rest of computations i.e. CTL verification, K-parameters generation, parameter implication to GRN, state graph, hybrid modelling and parameter filtration automatically. GenNet serves the user by computing the results within seconds that were taking hours and days of manual computation
LEEPIANS
알바예제
알바예제
1509평가원B30
kimdeoksoo
Video Surveillance for Road Traffic Monitoring
Video Surveillance for Road Traffic Monitoring
Computer vision systems can be applied to a wide variety of tasks, but some of the most interesting are those related with security and surveillance. Within this group, our application for Video Surveillance for Road Traffic Monitoring can be placed. We propose a solution based on machine learning and video analysis techniques that involves the whole process: database evaluation, background estimation, foreground segmentation, video stabilization and object tracking. As a result of this, our system will be able to monitorize some basic parameters of traffic flow as vehicles counting or speed estimation.
C. Carmona, A. Flores, A. Hernández, A. Imbernon, A. Mosella

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