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    Section two of the paper discusses the potential effects of these assaults on burgeoning packaging techniques, including the integration of 25D/3D structures. Threat models for 25D/3D ICs, employing covert channels, are also put forward.

    Employing an array of silicon ridges on a membrane, we propose a phononic crystal design to detect the acoustic properties of a liquid. Immersed within the liquid, the ridges stand in contrast to other concepts. The introduction of a well-suited cavity within the periodic array fosters a confined defect mode with a substantial degree of localization within the cavity. This localized mode, alongside robust solid-liquid interactions, leads to increased sensitivity towards the acoustic properties of the surrounding liquid medium. Through finite element method simulation, we examine the theoretical transmission and excitation of an incident flexural membrane wave within a cavity. One can observe the vibrations of this mode from a point outside the phononic crystal or just above the cavity. A discussion regarding resonant modes, encompassing their quality factor and their response to liquid properties, is presented within the context of geometric parameters. The proposed sensor was subsequently tested for its performance in identifying variations in NaI concentration when placed in a solution of NaI-water.

    This paper proposes a novel relay selection and hybrid beamforming strategy to achieve maximum spectral efficiency in a non-regenerative multi-relay multi-input multi-output (MIMO) system. Due to the element-wise constant modulus requirement, the analog beamforming component in the radio-frequency domain encounters a mathematically intractable design problem, precluding the identification of a global optimal solution. Maximizing the end-to-end signal-to-noise ratio (SNR) under power restrictions at the source and each relay node leads to the derivation of phase-only precoding/combining matrices to resolve this issue. By breaking down the intricate optimization problem into two independent components, this task is accomplished. The first component’s role involves designing the RF precoder/combiner at the source and relay nodes, optimizing for maximum received SNR at the relay nodes. With the goal of maximizing the received signal-to-noise ratio (SNR) at the destination, the second component works to derive the analog precoder/combiner at intermediate relay nodes and the final destination. The procedure for acquiring digital baseband processing matrices entails deriving a closed-form expression that minimizes interference among disparate sub-channels. Lastly, the relay is chosen based on the objective of achieving the maximum signal-to-noise ratio from the initial point to the ultimate location. Computer simulations suggest that the proposed algorithm’s performance is comparable to its fully digital counterpart, exhibiting roughly 6% greater performance than the standard relay-assisted hybrid beamforming methods. Importantly, the proposed approach outperforms the given relay selection strategies, demonstrating a performance increase exceeding 15% in sparse scattering environments.

    Within the Internet of Things (IoT) domain, low-power wide-area networks (LPWANs), like IQRF, are witnessing expanded usage across a spectrum of applications, ranging from intelligent urban environments to industrial automation and domestic automation. Nevertheless, LPWAN networks are susceptible to cyberattacks, potentially disrupting normal network functionality and jeopardizing confidential data. The deployment of an LPWAN necessitates a preliminary assessment of its cybersecurity risks, allowing for the identification of potential vulnerabilities and threats and enabling the creation of proactive measures to secure the network and protect it from potential attacks. This paper employs the FMEA method to conduct a security risk analysis of the IQRF technology. The findings of this study suggest four critical failure modes representing the highest level of risk, including compromised end nodes, a compromised coordinator, a compromised gateway, and compromised communication links between nodes. gsk2118436 inhibitor In addition, the method employed includes a qualitative risk evaluation to recognize possible security hazards within the IQRF network and propose preventive actions to lessen the risk of cyber-attacks on IQRF networks.

    Innovative strategies and approaches are employed for illicit web intrusion, leading to the harm, theft, and destruction of data. System security is consistently tested by threats like DDoS, SQL injection, and cross-site scripting, presenting a demanding challenge. By comparing normal HTTP traffic with attack traffic, this research work pinpoints attack-indicative parameters and features. By considering different parameters, a comparative study was conducted on attack and normal traffic within the distinct characteristics of the standard datasets ISCX, CISC, and CICDDoS. From a dataset collected in a simulated environment, a layered architectural model for DDoS, XSS, and SQL injection attack detection was formulated. Employing a layered LSTM network, the initial layer was dedicated to DDoS detection, achieving a remarkable accuracy of 97.57%; the second layer, focused on XSS and SQL injection detection, attained an accuracy of 89.34%. The high-volume HTTP traffic was the initial focus of investigation, subsequently filtered and then directed to the secondary layer. By implementing application-level filtering, the web application firewall (WAF) fortifies the security posture of web applications, a capability unavailable to traditional network firewalls.

    Undesirable outcomes like creeping, jitter, and reduced tracking precision can arise from the inherent nonlinear friction present in an electro-hydraulic servo system. This paper employs the LuGre friction model to provide a comprehensive description of the dynamic and static friction forces observed in a servo system. Implementing friction compensation hinges on the precise determination of model parameters. Despite their widespread use, traditional genetic identification algorithms are deficient due to premature solutions, slow convergence, and poor accuracy in their results. This paper develops an improved adaptive genetic identification algorithm as a solution to these limitations. The algorithm’s adaptive selection of evolutionary processes is contingent upon the initial population’s density during its evolutionary stage. Additionally, it dynamically modifies the crossover probability and mutation rate to discover a precise local optimum and swiftly approach the global one. Reducing the scope of identification parameter searches can improve the accuracy of the global optimum solution during the later stages of population evolution. The proposed algorithm’s performance, as evidenced by simulation results, has yielded model parameter values with a relative error below 1% and an accelerated convergence. Compared to the established traditional and adaptive genetic algorithms, the proposed method achieves a superior overall performance. This investigation demonstrates a practical and extremely precise technique for the parameter identification of friction models used in electro-hydraulic servo systems.

    The deployment of force sensors spans a broad range of professional fields. The need for distinct measurement ranges and sensitivities stems from the operating environment, which is typically governed by a trade-off between these two parameters. This research describes the creation of a force sensor with adjustable sensitivity and measurement range. The sensor’s adaptability stems from structural alterations, namely, modifications to the distance between the point where force is applied and the sensing area, and changes to the cross-sectional dimensions. The ability to easily change and fix the sensor structure is provided by the use of shape-memory materials, contingent on temperature control. A foundational aspect of our discussion is the theory behind the proposed sensor. Thereafter, we demonstrate the prototypes and the experimental approaches used to ascertain the sensor’s operational capability. Using two strain gauges, prototypes were fabricated by their application to the opposing surfaces of shape-memory alloy and shape-memory polymer plates. Prototypes subjected to experimentation reveal a modifiable correlation between applied force and detected strain through the act of plate bending. This characteristic enables the sensor’s detection threshold and measurement span to be customized.

    The simplification of sensor installation is a crucial step toward widespread use of wireless sensing nodes for intelligent water quality and quantity monitoring in distribution networks. This aspect is addressed by demonstrating the use of two fundamental contactless sensors, piezoelectric transducers and strip electrodes (longitudinally interdigitated to measure impedance both inside and outside the pipe, possibly enabling impedimetric leakage detection), which can be readily clamped onto plastic pipes. This allows for the measurement of multiple parameters without fluid contact, preserving the pipe’s integrity. Measurements of water flow rate (up to 24 cubic meters per second) and temperature using ultrasound are reported, along with impedance-based determinations of pipe filling fraction (capacitance at 1 MHz, approximately cubic centimeter resolution) and ionic conductivity (resistance at 20 MHz, from 700 to 1400 Siemens per centimeter). We delve into the intricacies of the sensor’s equivalent impedance model. Experimental results corroborate the lumped models, which were verified by numerically-driven finite-element simulations aimed at optimizing sensing parameters like frequency. A demonstration hydraulic loop, measuring 6 meters in length and 30 liters in volume, was implemented to validate the sensors in conditions mimicking actual water flow (1 m/s). The monitored pipe segment was 0.45 meters long, featuring a 90 mm diameter – one of the largest such studies in the literature. Discussions encompass the trade-offs associated with sensor accuracy, deployment methods, and fabrication processes, specifically considering the utilization of single-sided flexible PCBs as electrodes, protected externally by Kapton, and verified experimentally.

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