In the assessment of neuromuscular illnesses, the motor unit action potentials (MUPs) in an electromyographic (EMG) signal are an important information source. Many methodologies in the time and frequency domains have...
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DASOM (computer aided SDL-oriented methodology) is a system development tool which provides computer support to specification and design, and also provides support for implementation, production, and maintenance of so...
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ISBN:
(纸本)0818606207
DASOM (computer aided SDL-oriented methodology) is a system development tool which provides computer support to specification and design, and also provides support for implementation, production, and maintenance of softwaresystems in the communication and process control areas. the tool is based on a softwareengineering methodology called SOM (SDL-oriented methodology). this includes the internationally standardized Specification and Description Language (SDL) defined by CCITT. the use of DASOM increases productivity and quality significantly. the estimated productivity increase is 20-70%. Higher quality is achieved because a formalized methodology is used in combination with syntax and consistency checks provided by the tool.
Withthe dramatic increase in the number of software security problems, a growing body of research in how to integrate security within software development is notable. Many security approaches have appeared to solve s...
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Robustness of Unmanned Aerial Vehicles (UAV) depends on the ability to detect upcoming obstacles. Dependency on range sensors that are only able to detect the distance of the object from the UAV will restrict the robu...
Robustness of Unmanned Aerial Vehicles (UAV) depends on the ability to detect upcoming obstacles. Dependency on range sensors that are only able to detect the distance of the object from the UAV will restrict the robustness of UAV especially Micro -Sized UAV (MAV) that are limited in terms of payload and energy consumption. On other hand, certain range sensors are expensive and sensitive to surroundings. Hence, implementing simple LIDAR and lightweight monocular camera sensor with appropriate free region detection method will give better combination to overcome robustness problem as camera sensor will provide various inputs of surrounding related to the obstacles. this method will segmentized input image of first and second frame via K - Means. then the second image frame will be subtracted by the first image frame. Next the subtracted image frame will be divided into 12 regions. then, the least pixel expansion will be selected from the regions. Finally, further sub regions to find least pixel expansion will be executed from the previously selected free region. the method is tested with experiment for texture and texture-less obstacles for free region detection. the method successfully obtained the best free region area for the MAV to avoid the obstacle.
the increase in size and complexity of power system networks with a large number of interconnections has exposed the system to various contingencies, which lead to system instability. therefore, it is necessary for a ...
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作者：
Turski, W.M.Imperial Coll
Dep of Computing London Engl Imperial Coll Dep of Computing London Engl
Logic - a calculus of formal systems - plays an important role in software development from specification to implementation. It also can play a minor role in validation of specifications, insofar as the validation may...
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ISBN:
(纸本)0818606207
Logic - a calculus of formal systems - plays an important role in software development from specification to implementation. It also can play a minor role in validation of specifications, insofar as the validation may be seen to include derivation of consequences. that logic plays no discernible role in descriptive theory formation - an act always serendipitous and contingent on invention - should not worry us too much, as long as we do not wish to claim the possession of the philosopher's stone.
software reliability estimation for systems operating in the field has been extensively discussed in the literature and several models have been developed. However, this approach of reliability estimation is a reactiv...
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Withthe continuous development of electrification and intelligence in ships, the importance of the ship power system in maritime safety has become increasingly prominent. To enhance the safety performance of the ship...
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Improper disposal of e-waste poses global environmental and health risks, raising serious concerns. the accurate classification of e-waste images is critical for efficient management and recycling. In this paper, we h...
Improper disposal of e-waste poses global environmental and health risks, raising serious concerns. the accurate classification of e-waste images is critical for efficient management and recycling. In this paper, we have presented a comprehensive dataset comprised of eight different classes of images of electronic devices named the E-Waste Vision Dataset. We have also presented EWasteNet, a novel two-stream approach for precise e-waste image classification based on a data-efficient image transformer (DeiT). the first stream of EWasteNet passes through a sobel operator that detects the edges while the second stream is directed through an Atrous Spatial Pyramid Pooling and attention block where multi-scale contextual information is captured. We train both of the streams simultaneously and their features are merged at the decision level. the DeiT is used as the backbone of both streams. Extensive analysis of the e-waste dataset indicates the usefulness of our method, providing 96% accuracy in e-waste classification. the proposed approach demonstrates significant usefulness in addressing the global concern of e-waste management. It facilitates efficient waste management and recycling by accurately classifying e-waste images, reducing health and safety hazards associated with improper disposal.
A system to insert visual objects into real image sequences in real time is presented. the system consists of off-the-shelf hardware and software. the system uses a region tracking algorithm based on a normalized affi...
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A system to insert visual objects into real image sequences in real time is presented. the system consists of off-the-shelf hardware and software. the system uses a region tracking algorithm based on a normalized affine warp that accounts for the motion of smooth planar patches and compensates for changes in illumination.
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