Business and design decisions regarding software development should be based on data, not opinions among developers, domain experts or managers. The company running the most and fastest experiments among the customer ...
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A new visual contour tracking model based on Lagrangian dynamics is proposed in this paper. First the dynamical affine invariant template associated with the active contour at each time step is derived according to or...
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A new visual contour tracking model based on Lagrangian dynamics is proposed in this paper. First the dynamical affine invariant template associated with the active contour at each time step is derived according to orthogonal projection theorem of sub-space. Then the tracking model is presented by using Lagrangian dynamics. Furthermore, the stability of the system in the sense of Lyapunov is analyzed. To detect features robustly, a novel technique is introduced, which combines multiple image information, including edge gradients, the direction of the contour and the region consistency of the object Experiments with real image sequences are done to demonstrate the effectiveness of the new model.
As technology grows rapidly, new innovations have emerged in our generation. Unfortunately, the rate of fraudulent activities has also increased, and as a result great deal of innocent individuals are in misery. Prior...
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We focus on solving two-player zero-sum extensive-form games with perfect information and simultaneous moves. In these games, both players fully observe the current state of the game where they simultaneously make a m...
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ISBN:
(纸本)9781577356332
We focus on solving two-player zero-sum extensive-form games with perfect information and simultaneous moves. In these games, both players fully observe the current state of the game where they simultaneously make a move determining the next state of the game. We solve these games by a novel algorithm that relies on two components: (1) it iteratively solves the games that correspond to a single simultaneous move using a double-oracle method, and (2) it prunes the states of the game using bounds on the sub-game values obtained by the classical Alpha-Beta search on a serialized variant of the game. We experimentally evaluate our algorithm on the Goofspiel card game, a pursuitevasion game, and randomly generated games. The results show that our novel algorithm typically provides significant running-time improvements and reduction in the number of evaluated nodes compared to the full search algorithm.
Speech is the primary form of communication, and being able to identify the language used in an audio sample is crucial in numerous fields. Language identification serves a purpose in speech recognition, language tran...
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We have demonstrated how an attribute grammar, augmented with operational constraints, can be used to specify the static semantics of an object-oriented language. The operational constraints have side-effects which ma...
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In this paper, two improved digital signature schemes are presented based on the design of directed signature scheme. The peculiarity of the system is that only if the scheme is specific recipient, the signature is au...
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In this paper, two improved digital signature schemes are presented based on the design of directed signature scheme. The peculiarity of the system is that only if the scheme is specific recipient, the signature is authenticated. Since the scheme adds the screen of some information parameters, the difficulty of deciphered keys and the security of digital signature system are increased.
The occurrences of accidents in mining industries owing to the fragile health conditions of mine workers are reportedly increasing. Health conditions measured as heart rate or pulse, glycemic index, and blood pressure...
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This paper models the chip and the package power distribution network in the simplified SPICE-level. The model is successfully validated by experiments using Vector Network Analyzer. By using the SPICE-level model, th...
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In the healthcare systems, usage of advanced integrated technologies like Internet of things (IoT) and Machine learning (ML) techniques were limited. Different amalgams of IoT devices and ML mechanisms are available f...
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ISBN:
(纸本)9789380544441
In the healthcare systems, usage of advanced integrated technologies like Internet of things (IoT) and Machine learning (ML) techniques were limited. Different amalgams of IoT devices and ML mechanisms are available for medical sector but are limited to certain domains only. These models either provide patients current state data or specific domain analyzing and surveillance pre/post treatment data like heart or brain functions with corresponding medical aid. Also data available is used as clinical study for medical professionals and for better understandings of patients about their state. Specific domain gadgets' like wrist bands or smart bands uses some sensors about vital, temperature and pulse etc., checkups are available but they were not meant for diagnosing or for treatments. In this paper, we proposed an integrated model to use IoT and ML algorithms for a healthcare system. Tracking of patients' status can be done using some sensors such as lightweight, portable, and low-powered sensor nodes. These Sensors sense the patient's status and send the parametric data to the central controller, to take actions during the critical condition of the patients. The data sent to the controller always provided in secure and encryption form. At the same time, patient data is sent to doctors, so that they can provide the instructions to the caretakers of the patients with quick and proper solutions in real-time. For disease prediction, our model uses supervised machine learning algorithms, In order to get the efficient feature set and improve the better accuracy, and pre-processing techniques to eliminate features that are irrelevant, missing values and outliers from biomedical data which aids in better disease prediction. To further strengthen the proposed integrated model design is compared with various traditional classification algorithms to specify its improved accuracy and computational time for accurate prediction of the patient's disease and acts as a decision suppo
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