Yang Tao
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View article: FreePRM: Training Process Reward Models Without Ground Truth Process Labels
FreePRM: Training Process Reward Models Without Ground Truth Process Labels Open
Recent advancements in Large Language Models (LLMs) have demonstrated that Process Reward Models (PRMs) play a crucial role in enhancing model performance. However, training PRMs typically requires step-level labels, either manually annota…
View article: Adaptive Dual-Domain Dynamic Interactive Network for Oriented Object Detection in Remote Sensing Images
Adaptive Dual-Domain Dynamic Interactive Network for Oriented Object Detection in Remote Sensing Images Open
Object detection in remote sensing images is an important research topic in the field of remote sensing intelligent interpretation. Although modern object detectors have made good progress, high-precision oriented object detection still fa…
View article: A Benchmark for Multi-Lingual Vision-Language Learning in Remote Sensing Image Captioning
A Benchmark for Multi-Lingual Vision-Language Learning in Remote Sensing Image Captioning Open
Remote Sensing Image Captioning (RSIC) is a cross-modal field bridging vision and language, aimed at automatically generating natural language descriptions of features and scenes in remote sensing imagery. Despite significant advances in d…
View article: From Coverage to Distribution: Exploring Lexical Features of the National Matriculation English Test
From Coverage to Distribution: Exploring Lexical Features of the National Matriculation English Test Open
Lexical feature has long been a pivotal element of almost all high-stakes language tests. Since the implementation of the “Experimental Curriculum Criteria” in China, few studies have reported investigating lexical features of the ensuing …
View article: An Evaluation Framework for Construction Quality of Bridge Monitoring System Using the DHGF Method
An Evaluation Framework for Construction Quality of Bridge Monitoring System Using the DHGF Method Open
Aiming at comprehensively evaluating the status of a bridge monitoring system, an evaluation framework based on the improved Delphi, analytic Hierarchy process, Grey relations analysis and Fuzzy integrated evaluation (DHGF) is selected. Fi…
View article: The Disadvantage of CNN versus DBN Image Classification Under Adversarial Conditions
The Disadvantage of CNN versus DBN Image Classification Under Adversarial Conditions Open
We compare Convolutional Neural Networks (CNN) and Deep Belief Networks (DBN) ability to withstand common image classification attacks. CNNs makes a strong inductive bias assumption about the relationship between pixels that are proximal t…
View article: Drift Compensation on Massive Online Electronic-Nose Responses
Drift Compensation on Massive Online Electronic-Nose Responses Open
Gas sensor drift is an important issue of electronic nose (E-nose) systems. This study follows this concern under the condition that requires an instant drift compensation with massive online E-nose responses. Recently, an active learning …
View article: An Unequally Clustered Multi-hop Routing Protocol Based on Fuzzy Logic for Wireless Sensor Networks
An Unequally Clustered Multi-hop Routing Protocol Based on Fuzzy Logic for Wireless Sensor Networks Open
Wireless sensor networks (WSNs) is associated with a new exemplification of a real-time embedded system used for various applications that make the traditional infrastructure-based network seem infeasible. Due to imbalanced energy consumpt…
View article: Study on Evaluation Index System of Urban Traffic Improvement Based on Analytic Hierarchy Process
Study on Evaluation Index System of Urban Traffic Improvement Based on Analytic Hierarchy Process Open
The double development of urbanization and motorization has made the traffic demand of our country grow rapidly and diversified. the improvement of urban traffic has become an important condition for the sustainable development of the city…
View article: Electronic Tongue Recognition with Feature Specificity Enhancement
Electronic Tongue Recognition with Feature Specificity Enhancement Open
As a kind of intelligent instrument, an electronic tongue (E-tongue) realizes liquid analysis with an electrode-sensor array and certain machine learning methods. The large amplitude pulse voltammetry (LAPV) is a regular E-tongue type that…
View article: An Unequal Clustering Algorithm for Wireless Sensor Networks Based on Interval Type-2 TSK Fuzzy Logic Theory
An Unequal Clustering Algorithm for Wireless Sensor Networks Based on Interval Type-2 TSK Fuzzy Logic Theory Open
Clustering is an effective method for reducing energy consumption in wireless sensor networks (WSNs). In a multihop clustered network scenario, each sensor node transmits data to its own cluster head (CH), and the CH aggregates the data fr…
View article: Wasserstein Distance Learns Domain Invariant Feature Representations for Drift Compensation of E-Nose
Wasserstein Distance Learns Domain Invariant Feature Representations for Drift Compensation of E-Nose Open
Electronic nose (E-nose), a kind of instrument which combines with the gas sensor and the corresponding pattern recognition algorithm, is used to detect the type and concentration of gases. However, the sensor drift will occur in realistic…
View article: Active Learning on Dynamic Clustering for Drift Compensation in an Electronic Nose System
Active Learning on Dynamic Clustering for Drift Compensation in an Electronic Nose System Open
Drift correction is an important concern in Electronic noses (E-nose) for maintaining stable performance during continuous work. A large number of reports have been presented for dealing with E-nose drift through machine-learning approache…
View article: Hybrid 3D Shape Measurement Using the MEMS Scanning Micromirror
Hybrid 3D Shape Measurement Using the MEMS Scanning Micromirror Open
A surface with large reflection variations represents one of the biggest challenges for optical 3D shape measurement. In this work, we propose an alternative hybrid 3D shape measurement approach, which combines the high accuracy of fringe …
View article: Applied to Mobile Multimedia Intelligent Speech System Interactive Topic Guiding Model
Applied to Mobile Multimedia Intelligent Speech System Interactive Topic Guiding Model Open
Recently, the rapid development of mobile multimedia intelligent voice systems has affected the rapid changes in user interaction. Meanwhile, the continuous optimization of recommended algorithms makes the change of interaction mode from t…
View article: D2D Relay Communication Scheme Incorporating Multi-Dimensional Information in Multimedia Transmission
D2D Relay Communication Scheme Incorporating Multi-Dimensional Information in Multimedia Transmission Open
The rapid development of mobile multimedia services integrated with online and offline social networks has made the mutual transmission of smart devices more frequent. Device to Device relay communication (D2D relay communication) can exte…
View article: Relay-Assisted D2D Transmission for Mobile Health Applications
Relay-Assisted D2D Transmission for Mobile Health Applications Open
Relay-assisted Device-to-Device (D2D) communication, one of the important transmission modes in mobile health systems, can provide high transmission quality for servicing users at the edge of system coverage. However, the quality of the D2…
View article: Gas-Sensor Drift Counteraction with Adaptive Active Learning for an Electronic Nose
Gas-Sensor Drift Counteraction with Adaptive Active Learning for an Electronic Nose Open
Gas sensors are the key components of an electronic nose (E-nose) in violated odour analysis. Gas-sensor drift is a kind of physical change on a sensor surface once an E-nose works. The perturbation of gas-sensor responses caused by drift …
View article: User-Information-Aware D2D Multicast File Distribution Mechanism
User-Information-Aware D2D Multicast File Distribution Mechanism Open
There are a large number of redundant transmissions in current D2D multicast content delivery systems, which seriously reduces the utilization efficiency of resources. This paper designs a novel user-information-aware D2D video distributio…
View article: Domain Correction Based on Kernel Transformation for Drift Compensation in the E-Nose System
Domain Correction Based on Kernel Transformation for Drift Compensation in the E-Nose System Open
This paper proposes a way for drift compensation in electronic noses (e-nose) that often suffers from uncertain and unpredictable sensor drift. Traditional machine learning methods for odor recognition require consistent data distribution,…
View article: Replication Strategy for Spatiotemporal Data Based on Distributed Caching System
Replication Strategy for Spatiotemporal Data Based on Distributed Caching System Open
The replica strategy in distributed cache can effectively reduce user access delay and improve system performance. However, developing a replica strategy suitable for varied application scenarios is still quite challenging, owing to differ…
View article: D2D-Assisted VR Video Pre-Caching Strategy
D2D-Assisted VR Video Pre-Caching Strategy Open
Along with the advances of virtual reality (VR) technologies, VR applications are found in various fields. For example, at many major exhibitions, VR is used to mimic the real world through utilizing a number of on-spot sensory equipment t…
View article: A Faulty Node Detection Algorithm based on Spatial-temporal Cooperation in Wireless Sensor Networks*
A Faulty Node Detection Algorithm based on Spatial-temporal Cooperation in Wireless Sensor Networks* Open
Wireless Sensor Networks (WSNs) consist of a large number of nodes with limited resources and widely used in social production and life, especially in harsh environments and real-time applications. The common sensor nodes transmit and send…
View article: Fuzzy Logic-Based Clustering Algorithm for Multi-hop Wireless Sensor Networks
Fuzzy Logic-Based Clustering Algorithm for Multi-hop Wireless Sensor Networks Open
To prolong the life of wireless sensor networks(WSNs) and reduce energy consumption, a clustering protocol based on fuzzy logic for Multi-hop WSNs(FLCMN) is proposed. The algorithm considers the residual energy of nodes, the number of neig…
View article: Social-Aware Relay Selection Scheme for Relay-Based D2D Communications
Social-Aware Relay Selection Scheme for Relay-Based D2D Communications Open
In order to improve the communication quality of relay-based D2D communication, this paper proposed a relay selection algorithm with the consideration of the information of the social domain and the physical domain. First, the transmission…
View article: Intrusion Detection System for Hybrid DoS Attacks using Energy Trust in Wireless Sensor Networks*
Intrusion Detection System for Hybrid DoS Attacks using Energy Trust in Wireless Sensor Networks* Open
In order to improve the detection rate of hybrid DoS attack in wireless sensor networks, a node energy consumption analysis technique is used to establish an intrusion detection method based on the trust of node energy consumption. A hybri…
View article: A secure routing of wireless sensor networks based on trust evaluation model
A secure routing of wireless sensor networks based on trust evaluation model Open
In order to counter the malicious attacks from internal nodes in Wireless Sensor Network(WSN), this paper proposes an Energy-optimized Secure Routing(EOSR) based on distributed trust evaluation model to identify and isolate Malicious node.…
View article: A Novel Intrusion Detection System based on IABRBFSVM for Wireless Sensor Networks
A Novel Intrusion Detection System based on IABRBFSVM for Wireless Sensor Networks Open
With the rapid development of wireless sensor technology, the application of Wireless Sensor Networks (WSNs) is more and more extensive, and has important military value and broad commercial application prospect. However, due to the limite…
View article: A Game Theoretic Approach for Balancing Energy Consumption in Clustered Wireless Sensor Networks
A Game Theoretic Approach for Balancing Energy Consumption in Clustered Wireless Sensor Networks Open
Clustering is an effective topology control method in wireless sensor networks (WSNs), since it can enhance the network lifetime and scalability. To prolong the network lifetime in clustered WSNs, an efficient cluster head (CH) optimizatio…
View article: Goodput Improvement for MPTCP Based on Controlling the Difference of Delay
Goodput Improvement for MPTCP Based on Controlling the Difference of Delay Open
Due to the out of order problem, the goodput is usually far lower than the aggregated throughput.How to improve the goodput is a focus of researches.However, lots of them hardly consider the influence of the congestion window on out of ord…