The detection and characterization of human veins using infrared (IR) image processing have gained significant attention due to its potential applications in biometric identification, medical diagnostics, and vein-bas...
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The detection and characterization of human veins using infrared (IR) image processing have gained significant attention due to its potential applications in biometric identification, medical diagnostics, and vein-based authentication systems. This paper presents a low-cost approach for automatic detection and characterization of human veins from IR images. The proposed method uses image processing techniques including segmentation, feature extraction, and, pattern recognition algorithms. Initially, the IR images are preprocessed to enhance vein structures and reduce noise. Subsequently, a CLAHE algorithm is employed to extract vein regions based on their unique IR absorption properties. Features such as vein thickness, orientation, and branching patterns are extracted using mathematical morphology and directional filters. Finally, a classification framework is implemented to categorize veins and distinguish them from surrounding tissues or artifacts. A setup based on Raspberry Pi was used. Experimental results of IR images demonstrate the effectiveness and robustness of the proposed approach in accurately detecting and characterizing human. The developed system shows promising for integration into applications requiring reliable and secure identification based on vein patterns. Our work provides an effective and low-cost solution for nursing staff in low and middle-income countries to perform a safe and accurate venipuncture.
A Susceptible-Infectious-Recovered (SIR) model is a popular and fundamental epidemiological model often used to assess the efficacy of disease prevention and control measures. SIR disease model, with the implementatio...
A Susceptible-Infectious-Recovered (SIR) model is a popular and fundamental epidemiological model often used to assess the efficacy of disease prevention and control measures. SIR disease model, with the implementation of various optimal control methods, is investigated to determine the optimal ways to lessen the effects of an infectious disease. In this research work, a non-linear, closed-loop, finite-horizon, optimal regulation with state-dependent Riccati equation (FH-SDRE) is implemented in an epidemic model called SIR model with vaccination to minimize the infected and susceptible population. Given the nonlinear dynamics of the SIR epidemic model, initially, this method converts the nonlinear equations into a state-dependent coefficient (SDC) matrix, which holds the nonlinearities of the dynamical system. After that, SDRE is solved at every small time instant over a specified finite time period. The core idea here is to utilize an approximate analytical approach that transforms the differential Riccati equation (DRE) into a differential Lyapunov equation (DLE) during every time period. Then, the real-time solution of the DLE at each of these time steps will result in the control law required to achieve the desired system performance. The effectiveness of the FH-SDRE regulation for the SIR model is demonstrated by minimizing the infected and susceptible population within a desired 30-day time period.
One type of wheeled mobile robot widely used in public transportation and for carrying high payloads is the tractor-Trailer wheeled robots (TTWRs). This study considers a differentially-driven tractor under pure rolli...
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The popularity of small wind turbines would rise in future, because of electricity prices are still growing. Next generation of small wind-turbines can have higher efficiency values. Under wind gusts and turbulences, ...
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p-diamond is a strong contender for sub-THz and THz applications specifically due to its large hole effective mass, high optical phonon energy, and, therefore, high momentum relaxation time, and high mobility. It has ...
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p-diamond is a strong contender for sub-THz and THz applications specifically due to its large hole effective mass, high optical phonon energy, and, therefore, high momentum relaxation time, and high mobility. It has the potential for efficient operation in the 300 GHz band targeted for future 6G communications. We review some of the recent works on p-diamond TeraFETs demonstrating their potential to detect and transmit sub-THz and THz radiation. We also report on the potential of n-diamond TeraFETs or emerging terahertz applications. One of the main factors in our research that account for the plasma wave dampness of the electron stream is the viscosity of the charge carrier medium in the channel.
This paper considers the problem of learning safe policies in the context of reinforcement learning (RL). In particular, we consider the notion of probabilistic safety. This is, we aim to design policies that maintain...
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A novel hollow-core anti-resonant fiber (HC-ARF) design is presented for low-loss, single polarization, and single-mode operation at 2 µm for the first time to the best of our knowledge. The proposed fiber shows ...
A novel hollow-core anti-resonant fiber (HC-ARF) design is presented for low-loss, single polarization, and single-mode operation at 2 µm for the first time to the best of our knowledge. The proposed fiber shows a low loss and polarization-extinction ratio of <0.02 dB/m and >500, respectively.
A decentralized application runs on the blockchain network without the intervention of a central authority. Transparency in transactions and security in vehicular networks are the issues for central systems. The propo...
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Detection of cyber attacks in smart power distribution grids with unbalanced configurations poses challenges due to the inherent nonlinear nature of these uncertain and stochastic systems. It originates from the inter...
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The growing interest in location based service and wireless security in WLAN necessitates the development of an effective scheme which can locate an attacker in a WLAN to make him account for his misdemeanors and expe...
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The growing interest in location based service and wireless security in WLAN necessitates the development of an effective scheme which can locate an attacker in a WLAN to make him account for his misdemeanors and expel him out of the network. On the other hand, while localization has been an active area of research recently, current research of secure localization mostly focuses on getting correct locations of legitimate users despite the existence of malicious attacks. There is little effort on how to locate an attacker who is equipped with advanced radio technologies to distort traditional localization system's location estimation. To fill in this challenging technical void, in this paper, a novel localization scheme is proposed, called ALD, which can locate the attacker with traditional range-free localization equipments. The main idea here is to use coordination of multiple APs to locate the attacker and optimize the process with a finite horizon discrete Markov decision process (MDP). An approximation algorithm is proposed to pre-compute the MDP efficiently. The solution then can be stored in APs without requiring any strong computation capability and special hardware. The ALD scheme can be supported by IEEE 802.11 and many other wireless network standards.
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