3135083 documents found, page 313175 of 313509

Enhancing dynamic videos for surveillance and robotic applications: The robust ...

Over the last few decades, surveillance applications have been an extremely useful tool to prevent dangerous situations and to identify abnormal activities. Although, the majority of surveillance videos are often subjected to different noises that corrupt structured patterns and fine edges. This makes the image processing methods even more difficult, for instance, object detection, motion segmentation, tracking...

Using IT Based Exercises in Primary Math Teaching of Children with Cerebral Pal...

H-2 Sensing Based on a Pd-Coated Tapered-FBG Fabricated by DUV Femtosecond Lase...

An optical fiber probe sensor based on a tapered-fiber Bragg grating (FBG) coated with 150-nm-thick Pd film is proposed for hydrogen detection. The FBG was written in a 50-mu m-diameter tapered fiber by deep ultraviolet femtosecond laser technology. A second FBG was inscribed in the 125 mu m-fiber section for temperature compensation. The sensing head was able to detect H-2 concentration in the range 0%-1% (v/v...

Local management of the nonlinearity of Bose-Einstein condensates with pinched ...

We present a proposal for the local control of the nonlinearity in quasi-one-dimensional Bose-Einstein condensates induced by a local pinching of the transverse confining potential. We investigate the scattering of bright matter-wave solitons through a pinched potential using numerical simulations of the full three-dimensional Gross-Pitaevskii equation and the corresponding effective one-dimensional model with ...

Survey of Temporal Information Retrieval and Related Applications

Temporal information retrieval has been a topic of great interest in recent years. Its purpose is to improve the effectiveness of information retrieval methods by exploiting temporal information in documents and queries. In this article, we present a survey of the existing literature on temporal information retrieval. In addition to giving an overview of the field, we categorize the relevant research, describe ...

An experimental comparison of biased and unbiased random-key genetic algorithms

Random key genetic algorithms are heuristic methods for solving combinatorial optimization problems. They represent solutions as vectors of randomly generated real numbers, the so-called random keys. A deterministic algorithm, called a decoder, takes as input a vector of random keys and associates with it a feasible solution of the combinatorial optimization problem for which an objective value or fitness can b...

From information systems and technologies to a technological proposal for an ag...

The agri-food industry has been growing at a considerable pace over the recent years. An example of this growth is the mushroom production sector, whose specificities associated with the production process enforce a very controlled management of all the resources applied to that activity. Considering that the existing literature does not present a transverse solution to the referred activity sector, we have end...

From Single to Many-objective PID Controller Design using Particle Swarm Optimi...

Proportional, integrative and derivative (PID) controllers are among the most used in industrial control applications. Classical PID controller design methodologies can be significantly improved by incorporating recent computational intelligence techniques. Two techniques based on particle swarm optimization (PSO) algorithms are proposed to design PI-PID controllers. Both control design methodologies are direct...

Towards an Auto-Associative Topology State Estimator

This paper presents a model for breaker status identification and power system topology estimation based on a mosaic of local auto-associative neural networks. The approach extracts information from values of the analog electric variables and allows the recovery of missing sensor signals or the correction of erroneous data about breaker status. The results are confirmed by extensive tests conducted on an IEEE b...

Multiple manipulators path planning using double A

Purpose - Streamlining automated processes is currently undertaken by developing optimization methods and algorithms for robotic manipulators. This paper aims to present a new approach to improve streamlining of automatic processes. This new approach allows for multiple robotic manipulators commonly found in the industrial environment to handle different scenarios, thus providing a high-flexibility solution to ...