The development of autonomous driving (AD) algorithms and their testing would be very expensive when real-world vehicles and environments would be used from the very beginning of development. That is why in the initia...
The development of autonomous driving (AD) algorithms and their testing would be very expensive when real-world vehicles and environments would be used from the very beginning of development. That is why in the initial development phases simulators are often used, in which it is possible to achieve realistic simulations of the real world. Therefore, many different simulators for AD have been developed. One of the main tasks of a fully autonomous vehicle is steering angle prediction (SAP). This paper explores SAP using a PilotNet CNN-based algorithm that recognizes essential features from input images to predict vehicle trajectory. After training on real-world images, the algorithm’s performance is evaluated in both CARLA and AirSim simulators, achieving 91.65% autonomy in CARLA and 71.87% in AirSim. The algorithm is further trained on the images obtained from the simulator, resulting in improved performance of 96.34% in CARLA and 78.99% in AirSim in terms of total autonomy. The study demonstrates the benefits of simulators for the development of AD algorithms and highlights the importance of testing in multiple simulators to achieve reliable performance across different environments and scenarios, including different lighting and weather conditions, types of road markings, and track configurations. The paper also highlights the advantages and disadvantages of individual simulators, which can be useful for the development and testing of future SAP algorithms.
Medical image analysis systems can help radiologists in reading images accurately and promptly. The systems are expected to be robust to images obtained with any imaging systems by different vendors and at different f...
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The cellulose acetate replication technique is an important method for studying material fatigue. However, extracting accurate information from pictures of cellulose replicas poses challenges because of distortions an...
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The use of Intelligent Reflecting Surfaces (IRSs) is considered a potential enabling technology for enhancing the spectral and energy efficiency of beyond 5G communication systems. In this paper, a joint relay and int...
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ISBN:
(数字)9798331517786
ISBN:
(纸本)9798331517793
The use of Intelligent Reflecting Surfaces (IRSs) is considered a potential enabling technology for enhancing the spectral and energy efficiency of beyond 5G communication systems. In this paper, a joint relay and intelligent reflecting surface (IRS)-assisted communication is considered to investigate the gains of optimizing both the phase angles and selection of relays. The combination of successive refinement and reinforcement learning is proposed. Successive refinement algorithm is used for phase optimization and reinforcement learning is used for relay selection. Experimental results indicate that the proposed approach offers improved achievable rate performance and scales better with number of relays compared to considered benchmark approaches.
The radial topology of the Multi-terminal High Voltage Direct Current (MTDC) power system is a preferred connection for the gigawatt- renewable power due to its scalability and reliability. However, a radial topology ...
The radial topology of the Multi-terminal High Voltage Direct Current (MTDC) power system is a preferred connection for the gigawatt- renewable power due to its scalability and reliability. However, a radial topology with a metallic return bipolar converter configuration MTDC network possesses technical challenges regarding DC fault current interruption and grid expansion. Furthermore, such HVDC networks are energized in a specific manner, usually involving a separate energizing controller. This paper proposes a design of DC Hubs with direct current circuit breakers (DCCBs) along with a network energization sequence without requiring a separate controller. Additionally, a PI-based controller for post-DC fault circulating current in MTDC’s metallic return is proposed. This control operates after DCCB recloses, removing any offset in the metallic cable by regulating the power setpoint in the converters. The proposed control is investigated under a pole-to-ground fault occurrence in the DC Hub. The proposed solution is validated by RSCAD/RTDS @ simulation by applying detailed and average equivalent models of turbines, DCCBs and converters. The results of this simulation show a successful suppression of the DC circulating current, which results in a balanced operation of the MMCs in the post fault steady state conditions.
The primary focus of this study is to examine delay optimization problems, subject to a dynamical system that involves (Formula presented.) -Caputo fractional derivative. The generalized hat functions are applied to d...
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In this paper, a new method for designing a reconfigurable $4 \times 4$ Butler matrix is proposed with digital phase shifters (PSs). The equation for the relationship between digital PSs and phase differences (PD) of ...
In this paper, a new method for designing a reconfigurable $4 \times 4$ Butler matrix is proposed with digital phase shifters (PSs). The equation for the relationship between digital PSs and phase differences (PD) of the sequenced ports is derived and discussed. With these derived equations, more PDs can be achieved by changing the value of the PSs. The design concept is demonstrated by a Butler Matrix composed of 4 transformer-based couplers and 4 PSs based on open-/short-circuit microstrip line-loaded slotline, which produce total of 16 PDs with compact size approximately to 4th order Butler matrix.
We propose and experimentally demonstrate a full-duplex fiber-space-fiber system in the 5G sub-6 GHz frequency bands for simultaneous transmission of multi-Gb/s downlink and uplink signals. In the downlink direction, ...
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ISBN:
(数字)9798350348743
ISBN:
(纸本)9798350348750
We propose and experimentally demonstrate a full-duplex fiber-space-fiber system in the 5G sub-6 GHz frequency bands for simultaneous transmission of multi-Gb/s downlink and uplink signals. In the downlink direction, transmission of a 2.4-Gb/s 64-quadrature amplitude modulation (64-QAM) signal at 5-GHz over a seamless optical link of 10-km standard single-mode fiber (SSMF), 1.2-m free-space optics (FSO) and 1.4-km SSMF with error-vector magnitude (EVM) lower than 4% is achieved by using external modulation. In the uplink direction, a directly modulated laser is employed to transmit 2-Gb/s 4-QAM signal at 3.5-GHz over the same hybrid channel with the measured EVM below 11% and thus value satisfying the 3GPP limit. The proposed system provides a practical solution for extension or recovery of broadband wireless connectivity.
A Clinical Data Repository (CDR) is a dynamic database capable of real-time updates with patients' data, organized to facilitate rapid and easy retrieval. CDRs offer numerous benefits, ranging from preserving pati...
A Clinical Data Repository (CDR) is a dynamic database capable of real-time updates with patients' data, organized to facilitate rapid and easy retrieval. CDRs offer numerous benefits, ranging from preserving patients' medical records for follow-up care and prescriptions to enabling the development of intelligent models that can predict, and potentially mitigate serious health conditions. While several research works have attempted to provide state-of-the-art reviews on CDR design and implementation, reviews from 2013 to 2023 cover CDR regulations, guidelines, standards, and challenges in CDR implementation without providing a holistic overview of CDRs. Additionally, these reviews need to adequately address critical aspects of CDR; development and utilization, CDR architecture and metadata, CDR management tools, CDR security, use cases, and artificial intelligence (AI) in CDR design and implementation. The collective knowledge gaps in these works underscore the imperative for a comprehensive overview of the diverse spectrum of CDR as presented in the current study. Existing reviews conducted over the past decade, from 2013 to 2023 have yet to comprehensively cover the critical aspects of CDR development, which are essential for uncovering trends and potential future research directions in Africa and beyond. These aspects include architecture and metadata, security and privacy concerns, tools employed, and more. To bridge this gap, in particular, this study conducts a comprehensive systematic review of CDR, considering critical facets such as architecture and metadata, security and privacy issues, regulations guiding development, practical use cases, tools employed, the role of AI and machine learning (ML) in CDR development, existing CDRs, and challenges faced during CDR development and deployment in Africa and beyond. Specifically, the study extracts valuable discussions and analyses of the different aspects of CDR. Key findings revealed that most architectural mod
This article introduces a novel method for efficiently and promptly operating protection relays within a power system, with a specific emphasis on adaptive overcurrent (OC) protection in a power grid. The approach uti...
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