178 Result(s)
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Chapter and Conference Paper
Deep Motion Flow Estimation for Monocular Endoscope
For monocular endoscope motion estimation, traditional algorithms often suffer from poor robustness when encountering uninformative or dark frames since they only use prominent image features. In contrast, dee...
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Chapter and Conference Paper
Gait Time Parameter Analysis-Based Rehabilitation Evaluation System of Lower Limb Motion Function
Aiming at the problems of low accuracy and high time cost of existing motion function rehabilitation evaluation methods, this paper proposes a rehabilitation evaluation method and system of lower limb motion f...
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Chapter and Conference Paper
Structural Design and Control of a Multi-degree-of-freedom Modular Bionic Arm Prosthesis
Due to various reasons of natural disasters, car accidents, diseases and so on, different levels of amputations such as hand, wrist and shoulder disarticulation have been caused. A modular structural design of...
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Chapter and Conference Paper
Robotic Replacement System for Thermocouple Components in the Nuclear Power Plant
Aiming at leakage, crystallization and deformation of RIC (In-Core Instrumentation) system, the thermocouple is mainly used to measure the outlet temperature of the reactor core coolant in the RIC system, whic...
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Chapter and Conference Paper
Spatial Dependency in Software-Defined Networking In-Band Monitoring: Challenges and Future Perspective
Software-Defined Networking (SDN) enhances the current networking infrastructure to be more flexible and manageable. The traditional networking infrastructure is heavily reliant on the hardware devices resulte...
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Chapter and Conference Paper
An Improved Certificateless Partial Blind Signature Scheme Based on Homomorphic Encryption
A modified Paillier homomorphic cryptography-based partial blind signature scheme is proposed to address the problems of centralized key generation in traditional blind signature schemes and the fact that the ...
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Chapter and Conference Paper
Identifying Factors Limiting the Prevalent Use of BIM Technology in the Turkish Construction Industry
BIM can be defined in many ways such as system, approach, method, process, and information model. BIM technology has been adopted and used worldwide in recent years and continues to become widespread with its ...
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Chapter and Conference Paper
Machine Learning Inspired Fault Detection of Dynamical Networks
Dynamical networks are a framework commonly used to model large networks of interacting time-varying components such as power grids and epidemic disease networks. The connectivity structure of dynamical networ...
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Chapter and Conference Paper
Correction to: Performance Analysis of V2V-Based Vehicular Platoon with Modified CACC Scheme
In the originally published chapter 52 the Figure 3 did not present the information correctly. The Figure 3 has been corrected by adding a blue dotted line to the graph.
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Chapter and Conference Paper
Performance Analysis of V2V-Based Vehicular Platoon with Modified CACC Scheme
By exploiting vehicle-to-vehicle (V2V) communication in vehicular platoon system, the platoon members could receive the real-time vehicle dynamics information of the leader vehicle and the preceding vehicle, w...
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Chapter and Conference Paper
Deep Reinforcement Learning Based Collaborative Mobile Edge Caching for Omnidirectional Video Streaming
Omnidirectional virtual reality video streaming requires high data rate and low latency to provide immersive experiences. Caching video contents at collaborative wireless edge servers is a promising approach t...
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Chapter and Conference Paper
A Hybrid Data-Driven Approach for Predicting Remaining Useful Life of Industrial Equipment
Guaranteeing the safety of equipment is extremely important in industry. To improve reliability and availability of equipment, various methods for prognostics and health management (PHM) have been proposed. P...
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Chapter and Conference Paper
Atomic Cross-Chain Swap-Based Decentralized Management System in Vehicular Networks
Blockchain-based applications in VANETs could improve traffic safety and efficiency by dynamic key management and distributed trust management. However, the limited performance of a single blockchain cannot me...
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Chapter and Conference Paper
Automatic Detection of Solar Radio Spectrum Based on Codebook Model
Space weather can affect human production and life, and solar radio burst will seriously affect space weather. Automatic detection of solar radio bursts in real time has a positive effect on space weather warn...
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Chapter and Conference Paper
HCI Design Education at Hunan University: A Practical Case in Chinese Design Schools
HCI design education is rapidly develo** in China, and HCI design and interaction design are in the process of becoming the main areas of specialty in Chinese design schools. This paper presents an overview...
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Chapter and Conference Paper
Design of Personal Credit Information Sharing Platform Based on Consortium Blockchain
The technical features of blockchain, including decentralization, data transparency, tamper-proofing, traceability, privacy protection and open-sourcing, make it a suitable technology for solving the informati...
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Chapter and Conference Paper
Application of Blockchain Technology to the Credit Management of Supply Chain
Blockchain technology has been extensively applied to Supply Chain Management (SCM). Based on technological innovations such as distributed ledgers, symmetric encryption, authorization, consensus mechanisms, a...
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Chapter and Conference Paper
Research on Equipment Fault Diagnosis Classification Model Based on Integrated Incremental Dynamic Weight Combination
This study proposes a classification model of equipment fault diagnosis based on integrated incremental learning mechanism on the basis of characteristics of industrial equipment status data. The model first p...
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Chapter and Conference Paper
The Discourse Structure Recognition Model Based on Text Classification
Discourse structure recognition is an important aspect of the disco...
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Chapter and Conference Paper
KM \(^{3}\) SVM: A Efficient Min-Max Modular Support Vector Machine Based on Clustering
In recent years, more and more scholars have begun to study the problem of multi-label learning. In this paper, we propose a multi-label learning method called KM