High-Throughput UAV Video Processing: A Multithreaded Architecture for Real-Time Deep Learning-Based Image Analysis

With the rapid development of Synchronous Digital Hierarchy (SDH) technology, it has been more and more widely used in power communication networks. The power communication network has high requirements on the reliability of data transmission, and the self-healing ring has the advantages of automatic fault recovery, high reliability, flexible networking, and simple implementation, thus becoming an indispensable part of the construction of power communication SDH networks. How to effectively evaluate the self-healing ability of SDH and improve the performance of the transmitted services has become an urgent problem to be solved. In the actual operation of the network, the selfhealing capability of SDH cannot be accurately and effectively evaluated. Therefore, on the Exata simulation platform, the SDH transmission network equipment, network, services and other resources and self-healing behavior are modeled to achieve the SDH. Transmission network "fault occurrence -fault detection -fault recovery" this self-healing process simulation. Finally, a comparative evaluation of the availability of access networks and backbone networks was carried out for a protection network in a certain area, verifying that the channel protection function of SDH self-healing rings can effectively improve the security and reliability of the power grid.

The mismatch negativity as a measure of auditory stream segregation in a simulated “cocktail-party” scenario: effect of age

Mismatch negativity (MMN) elicited by abstract regularity violations in two concurrent auditory streams

NoC (Network on Chip) is an emerging paradigm for design of VLSI/ULSI circuits to overcome communication bottleneck of traditional bus based systems. NoC communication framework consists of regularly placed routers, which are connected to processing cores. NoC performance is determined by latency and throughput for communication requirements. NoC communication traffic modelling plays an important role in design of NoC simulators and/or prototypes. This paper presents a framework for modelling source traffic for multipoint communication from one source to different destinations as is required for multicasting. Such a traffic model captures real-world scenarios such as multicasting, execution of concurrent multiple tasks on a single core (each task requiring communication with different destinations). The model proposes how concurrent traffic streams from a single core to different destinations can be mathematically characterized as a single stream at source end. The model is derived from statistical behaviour of probabilistically demultiplexing of a single traffic stream. In its nascent stage, the method is proposed for a scenario of one source concurrently communicating with two destinations as shall be required for mapping two concurrent tasks to same core or simultaneous broadcast to two destinations.

Network-on-Chip (NoC) is an emerging paradigm for design of VLSI/ULSI circuits. Communication bottleneck of traditional bus based systems has necessitated shift towards NoC framework. NoC consists of a communication layer of regularly placed routers connected to processing cores. NoC performance is determined by how it meets communication requirements of core applications and evaluated in terms of latency and throughput. NoC communication traffic modelling plays an important role in design of NoC simulators and/or prototypes. This paper presents a framework for modelling source traffic for multipoint communication from one source to multiple destinations. Need for such a traffic model arises as in a real-world scenario, an IP core is likely to execute multiple tasks concurrently, each task requiring communication with different destinations. The model proposes how concurrent traffic streams from a single core to different destinations can be mathematically characterized as a single stream at source end. The model is derived from statistical behaviour of probabilistic demulti plexing of a single traffic stream. In its nascent stage, the method is proposed for a scenario of one source concurrently communicating with two destinations as shall be required for mapping two concurrent tasks to same core.

A grid computing system provides high performance computing power, large storage space, or high communication bandwidth, to suit user requirements. The major concern in a grid computing system is the reliability, as a single node failure fails all running applications on the node. We proposed a fault-tolerance framework to improve the reliablity of a grid system. The proposed framework is novel in the sense that it uses the peer-to-peer replication model instead of a traditional client-server replication model, which reduces the replication time overhead and provides better degree of resiliency. Essentially, the checkpoint data file is split into chunks and distributed among a number of backup peers in parallel such that each chunk is replicated at two backup nodes. Moreover, the survival of the backup with the backup data redundancy in case of any one of the backup nodes in the group fails is also maintained. Detailed algorithms of modules of the complete framework are provided including group-forming, fault detection, replication, and fault recovery. Comparative performance evaluation of the replication time between the proposed peer-to-peer model and the client-server model has been conducted by using simulation over a wide range of chunk sizes and checkpoint data size. Our results show that, for a large enough chunk size, the replication time of the peer-to-peer replication model is reduced by half compared to that of the client-server model.

With the continuous development of the Internet, people have put forward higher requirements for the stability and availability of the network. Although we constantly strive to take measures to avoid network failures, it is undeniable that network failures are unavoidable. Therefore, in this situation, enhancing the stability and reliability of the network to cope with possible network failures has become particularly crucial. Therefore, researching and developing high fault protection rate intra-domain routing protection schemes has become an important topic and is the subject of this study. This study aims to enhance the resilience and service continuity of networks in the event of failures by proposing innovative routing protection strategies. The existing methods, such as Loop Free Alternative (LFA) and Equal Cost Multiple Paths (ECMP), have some shortcomings in terms of fast fault detection, fault response, and fault recovery processes, such as long fault recovery time, limitations of routing protection strategies, and requirements for network topology. In response to these issues, this article proposes a new routing protection scheme, which is an intra-domain routing protection scheme based on the minimum cross-degree backup path. The core idea of this plan is to find the backup path with the minimum degree of intersection with the optimal path, in order to avoid potential fault areas and minimize the impact of faults on other parts of the network. Through comparative analysis and performance evaluation, this scheme can provide a higher fault protection rate and more reliable routing protection in the network. Especially in complex networks, this scheme has more performance and protection advantages than traditional routing protection methods. The proposed scheme in this paper exhibits a high rate of fault protection across multiple topologies, demonstrating a fault protection rate of 1 in the context of real topology. It performs commendably in terms of path stretch, evidenced by a figure of 1.06 in the case of real topology Ans, suggesting robust path length control capabilities. The mean intersection value is 0 in the majority of the topologies, implying virtually no common edge between the backup and optimal paths. This effectively mitigates the risk of single-point failure.

As the proportion of wind power generation systems in power systems continues to rise, their dynamic response during system malfunctions has gained significant importance. As the grid short-circuit ratio continues to decrease, traditional fault ride-through algorithms for wind power generators may no longer be applicable. This is evidenced by voltage oscillations under significant disturbances and overvoltage issues during low-voltage ride-through, which are further aggravated during asymmetric fault conditions. Therefore, this paper focuses on the low-voltage ride-through issues of doubly fed induction wind power generators in weak power grids. It investigates the steady-state operation and transient control schemes and proposes a smooth transition strategy for steady-state and fault transient operations of doubly fed wind power generators. This approach guarantees the synchronization of active and reactive power, mitigates steady-state reactive power imbalance, and prevents voltage fluctuations triggered by recurring low-voltage ride-through occurrences. Furthermore, during fault recovery, a ramped active power restoration approach is employed to mitigate the coupling of active and reactive power introduced by the phase-locked loop, enabling rapid and stable restoration of active and reactive power outputs. As a result, superior dynamic performance is achieved during both symmetric and asymmetric fault processes. Finally, the superiority of the proposed smooth transition strategy under different fault scenarios is validated through simulations with the RTLAB platform.

he flexible interconnection technology based on soft open point(SOP)brings great changes to the construction and operation of conventional distribution networks. The paper focuses on the key issues of SOP based flexible interconnection in a smart distribution network. The technical concepts, characteristics and advantages are introduced in detail. The future typical application of SOP in a smart distribution network is analyzed. The research and development on SOP based flexible interconnection technology is forecasted in key aspects as operation optimization, fault recovery, optimal configuration and equipment implementation.

This research presents a study on enhancing the localization and orientation accuracy of indoor Autonomous Guided Vehicles (AGVs) operating under a centralized, camera-based control system. We investigate and compare the performance of two Extended Kalman Filter (EKF) configurations: a standard EKF and a novel Blended EKF. The research methodology comprises four primary stages: (1) Sensor bias correction for the camera (CAM), Dead Reckoning, and Inertial Measurement Unit (IMU) to improve raw data quality; (2) Calculation of sensor weights using the Inverse-Variance Weighting principle, which assigns higher confidence to sensors with lower variance; (3) Multi-sensor data fusion to generate a stable state estimation that closely approximates the ground truth (GT); and (4) A comparative performance evaluation between the standard EKF, which processes sensor updates independently, and the Blended EKF, which fuses CAM and DR (Dead Reckoning) measurements prior to the filter’s update step. Experimental results demonstrate that the implementation of bias correction and inverse-variance weighting significantly reduces the Root Mean Square Error (RMSE) across all sensors. Furthermore, the Blended EKF not only achieved a lower RMSE in certain scenarios but also produced smooth trajectories similar to or less than the standard EKF in some weightings. These findings indicate the significant potential of the proposed approach in developing more accurate and robust navigation systems for AGVs in complex indoor environments.

With the wide application of UAV, in the actual flight process, UAV needs to calculate the safe path according to its own position, environment, obstacles and other information. Due to the complex and changeable scene and environment of UAV mission execution, it is very important to select an appropriate UAV path planning algorithm. This paper aims at the path planning problem of multiple UAVs in a complex three-dimensional environment to ensure that multiple UAVs reach the mission location from different angles. Taking the chaotic genetic algorithm in network security protection as the main body, the operation difficulty of the algorithm is reduced, and the solution speed and accuracy of the algorithm are improved. The path length obtained by the proposed algorithm is 8.4% less than that of the ABC algorithm, 11.3% less than that of the PSO algorithm, and 4.2% less than that of the BABC algorithm. The system running time of the improved algorithm is also reduced by 27% to 45% compared with other algorithms. In terms of unmanned cooperation, this paper proposes a system capability based on network modeling to improve the cooperative combat capability of multiple UAVs. By establishing a network model, information sharing, collaborative decision-making and collaborative decision-making between drones are realized, thereby improving the effectiveness of the entire system. At the same time, this paper also considers the problem of network survivability. By introducing redundant design and fault recovery mechanism, the robustness and reliability of the system are enhanced.

There is the need to divide Mongolia's lake research into trends of development stages and to provide a detailed analysis of modern lake research. The aim of this study is to identify the development stages of lake research in Mongolia and to analyse lake research development. This study provides a comparative analysis of the development trends of lake research carried out in the country. The historical development of lake research in Mongolia was divided into 4 stages in chronological order, highlighting the current research direction, scope, and contribution to geography. Since 1990, researchers from many countries have been able to conduct extensive research in Mongolia, and especially since the 2000s, lake research intensified owing to global warming and environmental change. Studies, in particular, focus on paleogeography, paleoclimate changes, lake water regimes and water level fluctuation. Mongolian lake-based studies have tended to identify environmental evolution from the Pleistocene to the Holocene. The investigated areas were primarily Khuvsgul Lake and Darkhad Basin, Lakes Valley and Gobi Lakes, the Great Lake Depression, Mongolian Altai and Khangai Mountain lakes. Since 1990, scientists from Russia, Mongolia, Germany, China, Japan, USA and South Korea have been increasingly focusing on research into lakes in Mongolia. Paleogeographic and paleoclimatic reconstruction, based on the lakes of Central Asia, is being conducted in an innovative manner. Dividing Mongolia's lake research into development stages and identifying research trends will help determine which areas of research can be developed in the future.

Attitude and Orbit Control System (AOCS) is one subsystem of the Service Module of a satellite which mostly endures faults in space operations. The criticality and complex nature of the subsystem demands an extensive effort in its integration and controller's software testing, mainly for validating the Fault Detection, Identification and Recovery (FDIR) requirements. This paper presents a proposal of characterization of the mechanisms of FDIR in order to apply model-based testing methodologies to address the AOCS robustness aspect. Two testing methodologies named CoFI and InRob using respectively Finite State Machine and Timed Input Output Automata formalisms to model critical services will be used, highlighting the robustness properties of the services. The testing methodologies support integration testing and acceptance phase of AOCS software. This paper aims in describing the selection of the two test methodologies and presenting the approach for modelling FDIR.

In recent years the application space of reconfigurable devices has grown to include many platforms with a strong need for fault tolerance. While these systems frequently contain hardware redundancy to allow for continued operation in the presence of operational faults, the need to recover faulty hardware and return it to full functionality quickly and efficiently is great. In addition to providing functional density, FPGAs provide a level of fault tolerance generally not found in mask-programmable devices by including the capability to reconfigure around operational faults in the field. In this paper, incremental CAD techniques are described that allow functional recovery of FPGA design configurations in the presence of single or multiple operational faults. Our preferred approach to fault recovery takes advantage of device routing hierarchy in architectural families such as Xilinx Virtex [2] and Altera Apex [3] to quickly swap unused logic and routing resources in place of faulty ones within logic clusters. These algorithms allow for straight-forward implementation within a local fault-tolerant system without the need to access a remote processing location. If initial recovery attempts through localized swapping fail, an incremental router based on the widely-used PathFinder maze routing algorithm [10] can be applied remotely in an attempt to form connections between newly-allocated logic and interconnect based on the history of the initial design route.

An investigation of distance protection function applied for shunt reactors