China's operational roadbed diseases show a growing trend in terms of both diversity and quantity, leading to an increasing frequency of road safety accidents caused by these diseases. It is of significant importa...
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China's operational roadbed diseases show a growing trend in terms of both diversity and quantity, leading to an increasing frequency of road safety accidents caused by these diseases. It is of significant importance to identify the location, morphology, and developmental degree of hidden roadbed diseases and address them accordingly for the safe operation and maintenance of highways during their operational period. Current non-destructive testing methods such as ground-penetrating radar heavily rely on subjective experience for data processing and interpretation, which no longer meet the growing demand for precise and rapid identification of disasters in roadbed engineering. In this study, we established a training set and a test set using images of common roadbed diseases, specifically roadbed looseness and roadbed voids, in a 1:4 ratio, and labeled the disease types in each image. We improved the Faster R-CNN algorithm and obtained two enhanced versions, namely faster_rcnn_inception_v2 and faster_rcnn_resnet50. Both algorithms were trained and indicators such as loss value, test recognition area, and accuracy were analyzed. The results showed that the faster_rcnn_inception_v2 algorithm outperformed the faster_rcnn_resnet50 algorithm with a total loss value of 0.0235, a total of 425 recognized regions, and an accuracy of 91.1% for region recognition. Therefore, the faster_rcnn_inception_v2 algorithm is chosen for the image detection and recognition of roadbed diseases in urban roads.
With the development of quantum computing, quantum processor demonstrates the potential supremacy in specific applications, such as Grover's database search and popular quantum neural networks (QNNs). For better c...
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ISBN:
(纸本)9798350380415;9798350380408
With the development of quantum computing, quantum processor demonstrates the potential supremacy in specific applications, such as Grover's database search and popular quantum neural networks (QNNs). For better calibrating the quantum algorithms and machines, quantum circuit simulation on classical computers becomes crucial. However, as the number of quantum bits (qubits) increases, the memory requirement grows exponentially. In order to reduce memory usage and accelerate simulation, we propose a multi-level optimization, namely Mera, by exploring memory and computation redundancy. First, for a large number of sparse quantum gates, we propose two compressed structures for low-level full-state simulation. The corresponding gate operations are designed for practical implementations, which are relieved from the longtime compression and decompression. Second, for the dense Hadamard gate, which is definitely used to construct the superposition, we design a customized structure for significant memory saving as a regularity-oriented simulation. Meanwhile, an ondemand amplitude updating process is optimized for execution acceleration. Experiments show that our compressed structures increase the number of qubits from 17 to 35, and achieve up to 6.9x acceleration for QNN.
The method of constructing a schedule for parallel algorithm execution is considered in the article. This algorithm takes into account the execution time of each operation of the algorithm and the relationship of oper...
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ISBN:
(纸本)9783319951713;9783319951706
The method of constructing a schedule for parallel algorithm execution is considered in the article. This algorithm takes into account the execution time of each operation of the algorithm and the relationship of operations on the data. The method is based on an information graph in which the nodes are the operations of the algorithm, and the edges are the directions of the data transfer. As a result of the interchange of operations between computing nodes, it is possible to achieve a reduction in the execution time of the algorithm by reducing the time spent on data transfer between computing nodes and reducing the downtime of computational nodes. The algorithm can be applied both in parallel programming and in adjacent areas, for example, when scheduling tasks in distributed systems.
This paper provided a new high-precision spectrum analysis algorithm based on polyphase filter banks namely the double-path polyphase filter bank (DPPF) algorithm. The traditional single-path polyphase filter bank alg...
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ISBN:
(纸本)9781479919802
This paper provided a new high-precision spectrum analysis algorithm based on polyphase filter banks namely the double-path polyphase filter bank (DPPF) algorithm. The traditional single-path polyphase filter bank algorithm could be replaced by double-path polyphase filter bank algorithm, thereby making sub-channel transition bands of the first path fully coincide with sub-channel pass bands of the second path. Simulation results showed that the new algorithm had overcome the channelized digital receiver blind areas generated by D tunes decimation as well as realized high-precision real time spectrum analysis.
Navigating indoor mobile robots in dynamic environments poses significant challenges due to obstacles and uncharted terrain. This study explores autonomous navigation systems within a laboratory-scale Flexible Manufac...
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ISBN:
(纸本)9798350372113;9798350372106
Navigating indoor mobile robots in dynamic environments poses significant challenges due to obstacles and uncharted terrain. This study explores autonomous navigation systems within a laboratory-scale Flexible Manufacturing System (FMS), addressing the need for more reliable and real-time navigation. Objectives include designing a 2D map using SLAM, creating an autonomous indoor navigation system with real-time obstacle avoidance, and establishing a multi-robot navigation framework. Performance of A*, D*, TEB, and DWA algorithms is evaluated in single and multi-robot scenarios. Findings highlight A*'s effectiveness in static environments, D*'s adaptability in dynamic settings, and TEB's superiority in obstacle avoidance over DWA. The study concludes by discussing the potential of A* and TEB in multi-robot applications and suggests future research in algorithm optimization and multi-robot coordination.
Distributed optical fiber sensing system (DOFS) has great potential in areas of petroleum exploration and ocean defense. By algorithm optimization in different coding environment, the multi-point and real-time heterod...
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ISBN:
(数字)9781510609181
ISBN:
(纸本)9781510609181;9781510609174
Distributed optical fiber sensing system (DOFS) has great potential in areas of petroleum exploration and ocean defense. By algorithm optimization in different coding environment, the multi-point and real-time heterodyne demodulation of DOFS is achieved. In experiments, the length of the optical fiber is 500m, the spatial resolution is 5m and the system sampling rate is 200kHz, under which condition the data rate reaches up to 160MB/s and the system can stilled be demodulated timely. Based on this, by plotting the three-dimensional diagram (vibration intensity versus time and space), the whole DOFS can be detected continuously and accurately.
The use of the Walsh transform in DC-AC PWM waveform generation allows the calculation of the switching angles by means of linear equations which depend on the fundamental amplitude. However, when it is needed a wide ...
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ISBN:
(纸本)9781424488070
The use of the Walsh transform in DC-AC PWM waveform generation allows the calculation of the switching angles by means of linear equations which depend on the fundamental amplitude. However, when it is needed a wide regulation of the fundamental amplitude, conventional application of Walsh transform forces to switch among different equation sets, due to the range limitation of each one of them. In this paper it is described an advanced method to obtain the switching angles that permits full regulation of the fundamental amplitude, with only a switching interval vector, in single phase systems. The paper shows Matlab simulation results that proof the efficiency of the advanced method algorithm.
In this paper, we explore face detection and face recognition algorithms for ubiquitous computing environment. We develop algorithms for application programming interface (API) suitable for embedded system. The basic ...
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ISBN:
(纸本)9783642027093
In this paper, we explore face detection and face recognition algorithms for ubiquitous computing environment. We develop algorithms for application programming interface (API) suitable for embedded system. The basic requirements include appropriate data format and collection of feature data to achieve efficiency of algorithm. Our experiment presents a face detection and face recognition algorithm for handheld devices. The essential part for proposed system includes;integer representation from floating point calculation. optimization of memory management scheme and efficient face detection performance on complex background scene.
In the case of Joseon, the social development in the last millennium, the increasing aesthetic awareness, the admiration for Chinese literature and culture, the strong spread of advanced Chinese thought and culture, a...
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In the case of Joseon, the social development in the last millennium, the increasing aesthetic awareness, the admiration for Chinese literature and culture, the strong spread of advanced Chinese thought and culture, and the active exchanges between Joseon students and Chinese literati have provided the main soil for the emergence of literary theories in Joseon, and there are sufficient data to prove that Chinese literary texts and literary ideas have had an influence in Joseon. So far, numerous materials indicate that the formal essence and dialectical philosophical thought of Chinese literature have significantly influenced Korean culture and the mindset of Koreans. Moreover, in the process of fusion and evolution with Korean literature and philosophical thought, Chinese literature and philosophical ideas are influenced by native Korean culture, leading to variations. It can be said that without Chinese classical literature and philosophy, there would be no Korean classical literature and philosophy. Based on the evolution of Korean literature and the optimized ItemCF algorithm, this paper analyzes in depth the influence of Chinese classical literature on the literary creation of the Korean peninsula and accurately grasps the relationship between the origin and flow of Chinese and Korean classical literature. The experimental results indicate that the optimized ItemCF algorithm can accurately identify Chinese literary stories present in Korean literature, along with the underlying philosophical and dialectical ideas from Chinese literature. Moreover, through similarity analysis, the algorithm computes the potential evaluative value of Chinese stories within Korean literature, aiding in evaluating and analyzing philosophical and dialectical thinking within these narratives. The experiments prove that the optimized algorithm can significantly improve the data cleaning efficiency compared with ItemCF, and its user similarity matrix generation speed and efficiency are
This paper proposes a scheduling algorithm based on fast edge resource placement, so as to further improve the effect of bilateral resource integration of the mergers and acquisitions (M&A). Among them, the random...
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ISBN:
(纸本)9798350388732;9798350388725
This paper proposes a scheduling algorithm based on fast edge resource placement, so as to further improve the effect of bilateral resource integration of the mergers and acquisitions (M&A). Among them, the random demand model is taken as the basic resource scheduling method, and the algorithm is optimized by introducing edge computing and user random demand, thereby further improving the resource scheduling effect of mergers and acquisitions. The simulation results show that under different merger and acquisition resources, Zipf values, and types of resources, compared with traditional mean-based scheduling algorithms, the scheduling algorithm based on fast edge resource placement have higher resource scheduling benefits and significantly reduced time complexity. Therefore, it can be concluded that the scheduling algorithm based on fast edge resource placement has good performance, and it can carry out resource scheduling with good effect. In addition, applying the proposed algorithm in the actual enterprise M&A scenario can help enterprises to carry out better resource management, which is feasible and has certain practical application value.
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