We propose an extension of the chaotic evolution algorithm into the discrete domain to address combinatorial optimization problems. In this study, we leverage the discrete chaotic evolution algorithm to tackle the Tra...
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We present a full-pose end-effector control approach on Lie groups for free-floating space manipulators with non-zero momentum while tracking a moving target during proximity operations. We model space-manipulators as...
Electrocardiogram (ECG) signal classification is an important task in healthcare as it plays a vital role in early prevention and diagnosis of cardiovascular diseases. In this work, we propose an attention-based hybri...
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From search engines like Google to advanced applications such as Retrieval Augmented Generation integrating Large Language Model (LLM), Information Retrieval (IR) serves a crucial role. To facilitate the development o...
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ISBN:
(纸本)9781665410205
From search engines like Google to advanced applications such as Retrieval Augmented Generation integrating Large Language Model (LLM), Information Retrieval (IR) serves a crucial role. To facilitate the development of increasingly large and complex code program projects, researchers introduce IR systems into the code domain. Unfortunately, although IR systems achieve significant success in retrieving natural language corpus and query, they face challenges when tasked with retrieving corpus consisting of code sequences. Primarily, in practical applications, most code sequences lack corresponding natural language annotations, which are known as low-resource scenarios, hindering the training of neural network-based retriever in IR systems. Furthermore, modern IR systems often overlook the structural features of code sequences, which may be beneficial for understanding these sequences. Additionally, the length of most code sequences exceeds that of equivalent natural language expressions, complicating the processing of relationships between code and natural language sequences. To address these challenges, we propose a novel IR system CSFIR, which leverages Code-Speclflc Features to augment IR. For the prevalent issue of unlabeled code sequences in low-resource scenarios, we employ a supervised fine-tuned LLM as a generator to generate natural language queries for unlabeled code sequence. Subsequently, we extract structural features from the abstract syntax tree of code sequence using graph convolution networks and integrate these features to enhance the original retriever. Finally, given the adverse effects of lengthy code sequences on generators, we propose a subtree segmentation algorithm, which reduces the length of code sequences without compromising their original meaning, thereby enhancing the quality of queries generated by the generator. We conduct comparative experiments to ascertain the efficacy of our method. Regarding Recall@100, our CSFIR system improves f
Patients with hand paralysis have motor and sensory dysfunction in their hands. They can neither flex/extend their fingers nor feel gripping force or finger posture. To allow patients with hand paralysis to perform gr...
Hydroponic systems rely on healthy root growth for efficient nutrient absorption, but prolonged submersion in contaminated water can lead to plant death. This project proposes the development of a smart IoT-based hydr...
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ISBN:
(纸本)9798350372113;9798350372106
Hydroponic systems rely on healthy root growth for efficient nutrient absorption, but prolonged submersion in contaminated water can lead to plant death. This project proposes the development of a smart IoT-based hydroponic plant water level system to monitor water flow in a hydroponic tank, ensuring optimal aeration for healthy root systems. In addition to enhancing root development, this project also enhances user convenience and minimizes manpower effort. This project employs a NodeMCU Wi-Fi module (ESP8266) to connect to a cloud platform, integrating TDS and ultrasonic sensors for monitoring nutrient levels and root growth in hydroponic systems, using the Arduino IDE for software compilation and the Blynk platform for monitoring. Crucially, the system automatically controls water pumps based on sensor data. When the TDS sensor detects nutrient levels below a set threshold or the ultrasonic sensor indicates insufficient water depth, the corresponding water pump is activated to maintain optimal conditions. This system presents a comprehensive solution for maintaining ideal hydroponic conditions, fostering healthier crops and sustainable farming practices.
Online voting is a topic that companies have been dealing with for many years. Several countries tried and are still trying to implement such voting system instead of a classical paper election system we know the most...
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This paper investigates a novel approach for properly modeling Hydraulic Servo Actuators (HSAs) based on ON-OFF switching valves. HSAs represent very high efficiency and small size-to-power ratio hydraulic actuators. ...
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Capacity limitation and communication delay in satellite communication are issues in the development of remote ship control system. This study proposes a system that receives ship's motion data instead of images f...
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Cloud services are becoming increasingly popular in social life. Collaboration in the cloud is critical for teams in different locations and organizations. However, the current collaborative decryption scheme requires...
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