In this paper, we study the task of generating financial news articles related to stock price fluctuations. Traditionally, reporters manually write these articles by identifying the causes behind significant stock pri...
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The current global traffic situation, especially in densely populated urban areas, faces severe challenges, including significant economic burdens and environmental impacts. Carpooling, where multiple riders share a s...
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This paper proposes a measurement technique for an integrated complex filter. The proposed method is based on two measurement methods with integrated circuitry for calibration. It is accomplished by applying square wa...
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Distributed renewable energy systems are emerging in communities and buildings in response to global warming. Concurrently, the frequency of large-scale power outages, which are often triggered by natural disasters an...
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Ports are transportation hubs located along coasts, rivers, lakes, and reservoirs, with water and land transport facilities that allow ships to enter, exit, and berth safely. The port bay numbers are located on the la...
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ISBN:
(数字)9798331521165
ISBN:
(纸本)9798331521172
Ports are transportation hubs located along coasts, rivers, lakes, and reservoirs, with water and land transport facilities that allow ships to enter, exit, and berth safely. The port bay numbers are located on the land side of the port and are rectangular frames of specific sizes designated by port management, containing unique codes. These codes identify where containers are stacked under various weather conditions. Therefore, the ability to quickly and accurately recognize bay numbers in all weather conditions has become a significant issue affecting work efficiency, especially in rainy ports. However, collecting images of bay numbers during rainy days is not permitted due to safety restrictions. In this article, we first generate images of rainy scenes based on images collected in sunny weather. We then compare two detection algorithms and select the one with a smaller decrease in detection metrics but fewer model parameters. Finally, we incorporate an attention mechanism into the chosen algorithm to optimize and enhance target detection performance across various weather scenarios.
This paper describes the implementation and evaluation of an RC polyphase filter (RCPF) and circuitry for measuring its frequency characteristics. The integrated circuit is fabricated on a 0.6 µm CMOS process and...
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Hardware-based, high-throughput data compression is a promising approach to reduce data movement costs in largescale systems and networks, thereby improving overall performance and power efficiency. However, since a d...
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ISBN:
(数字)9798331534844
ISBN:
(纸本)9798331534851
Hardware-based, high-throughput data compression is a promising approach to reduce data movement costs in largescale systems and networks, thereby improving overall performance and power efficiency. However, since a data compression algorithm is only effective if it is suitable for the characteristics of the target data, data compression hardware with a fixed algorithm is unrealistic for use in general-purpose environments. To address this challenge, we have been researching adaptive bandwidth compression (ABC) hardware that flexibly provides an effective algorithm depending on the input data. This paper presents the design and the Chisel-based implementation of the ABC hardware platform for encoding compressed data and generating output blocks, as well as introducing a quantization parameter to reduce the circuit area. Our evaluation shows that the proposed quantization parameter can not only reduce the hardware cost, but also control the trade-off between the effective compression ratio and the hardware cost. In addition, based on the evaluation results, we discuss the design optimization of the ABC hardware platform.
It is estimated that 3.5-10 percent of the population are afraid of injections. These people are at risk of vasovagal syncope, a condition in which the patient faints during the injection. To help overcome this respon...
Self-Organizing Map (SOM) is one of the neural networks employed, particularly in data mining and related fields. Like Deep Learning, SOM requires iterative calculations of a vast number of high-dimensional vectors. C...
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In this study, a directional relay driving of flexural waves in a long acoustic radiator panel is studied. When a flexural wave whose propagation velocity is faster than the sound velocity in air propagates in the pan...
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