Zhezhuang Xu

Fuzhou University · Department of Automation

Dear Editor, This letter is concerned with wood crack detection which is important to guarantee the quality of wooden products. In the wood industry, the crack detection is one of the most challenging tasks in the wood defects detection, since the detection accuracy may be reduced due to the stains on the boards, the tiny cracks, and some cracks th...

With the development of cloud manufacturing, the automation of storage scheduling becomes popular in the steel industry. However, the high customization of steel plates makes the storage scheduling too complex to be optimized. To overcome this challenge, we propose to utilize the big data of steel plate orders and warehouse status to optimize the s...

Wi-Fi fingerprint-based indoor localization has recently attracted significant research interest since Wi-Fi devices are widely deployed and practical, and no additional infrastructure is required. However, the Received Signal Strength (RSS) is significantly different on heterogeneous devices, and this difference has a negative impact on localizati...

Due to the pressure of environmental pollution and energy crisis, the integrated energy system (IES) with multiple energy hubs (EH) has been widely promoted. This paper proposes a distributed coordinated robust optimal scheduling method for multi-EH-based IES. Firstly, a two-stage robust optimization (TRO) model is developed for multi-EH-based IES...

The millimeter-wave (mmWave) radar technology has attracted significant attention because it is susceptible to environmental lighting, wall shielding, and privacy concern. This article proposes a novel noninvasive human activity recognition system using a mmWave radar. The proposed framework first transforms mmWave signals into point clouds. Genera...

High peak-to-average power ratio (PAPR) is one of the major drawbacks of orthogonal frequency division multiplexing (OFDM) communication system, which causes signal distortion and affects communication performance. Partial transmission sequence (PTS) is an effective method to reduce the PAPR, but it cannot adaptively select processing parameters fo...

The estimation for state variables of systems with non-linear or unknown signals has great significance. In comparison with traditional NNs algorithm, the ELM algorithm has much shorter training time. Adopting kernel function and on-line update method, the OS-KELM algorithm can obtain better performance than ELM algorithm. In this paper, an on-line...

In biaxial contouring control applications, the inherent structural flexibility of machines can lead to position discrepancies between the manipulator and actuator, and thus deteriorate the manufacturing performance, especially when the controller is designed without available end-effector side feedback. In this work, we focus on the end-effector c...

The robots have been used in the inspection of industrial wireless sensor networks (IWSNs), that includes data collection and wireless charging. The sensor nodes are always densely deployed and their appearances are similar, thus it is a non-trivial challenge to identify a specific node by the machine vision. To solve this problem, we propose to us...

Wooden boards are widely used as raw materials for furniture. Detecting defects on the wooden is significant to improve the quality of products. In this paper, we propose an improved YOLOv4-tiny target detection algorithm with feature extraction and utilization tailored for wood defect recognition. The proposed algorithm replace the residual networ...

Energy consumption is an important part of highway tunnel operation. In this paper, we propose a method to evaluate the potential of energy-saving based on the data collected by vehicle detector and electricity meter deployed in the tunnel. Two energy saving strategies are also proposed based on fuzzy control: strategy 1 based on traffic flow and s...

Wireless power transfer network (WPTN) can provide efficient, timely, and dynamic charging service for multiple devices wirelessly by adopting mobile chargers. However, there are still urgent requirements to reduce the cost and improve the charging performance of WPTN. Therefore, this paper proposes the charging scheduling strategy for linear WPTN...

The accuracy of manufacturing highly characterises the performance of industrial motion control. However, detrimental effects such as nonlinear coupling, model uncertainty and unknown external disturbances severely affect trajectory tracking performance. In this paper, we proposed an ADRC and feedback linearisation-based control algorithm for the h...

This study presents two dynamic models, namely recurrent neural network and long short-term memory (LSTM) models, for predicting PM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2.5</sub> concentrations in Taiwan by using PM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www....

Color classification of wooden boards is helpful to improve the appearance of wooden furniture that is spliced from multiple wooden boards. Due to the similarity of colors among wooden boards, manual color classification is inaccurate and unstable. Thus, supervised learning algorithms can hardly be used in this scenario. Moreover, wooden boards are...

The accurate control of automotive fuel cell oxygen excess ratio (OER) is necessary to improve system efficiency and service life. To this end, an anti-disturbance control driven by a feedback linearization model predictive control (MPC)-based cascade scheme is proposed. It considers strong nonlinear coupling and disturbance injection of fuel cell...

Industrial wireless sensor networks (IWSNs) are the fundamental component in the next-generation factories. Due to massive heterogeneous data generated from large-scale IWSNs, it is still challenging to achieve predictable, deterministic, and real-time transmission scheduling. In this paper, a framework of priority-aware packet transmission schedul...

The mobile industrial human-machine interaction plays an important role in the industrial internet of things, since the engineers can use a mobile device to interact with machines that greatly improves the efficiency and safety. Nevertheless, connecting to a specific machine becomes a non-trivial problem due to the massive machines in the network t...

Location service is an efficient solution to handle actor mobility in wireless sensor and actor networks. Geographic hashing location service (GHLS) is a flat hashing-based protocol which has better energy efficiency than other location service protocols. Nevertheless, GHLS suffers from unbalanced energy consumption due to the fixed hashed region....

Geospatial big data analytics are changing the way that businesses operate, and have enabled various intelligent services in smart cities. User mobility plays an important role in many context-aware applications such as location-based advertisement, traffic planning, and urban resource management. This study proposes CityTracker, a hidden markov mo...

With the rapidly increasing demand for security and E-health applications, device-free human detection has attracted interest because it does not require a wearable device or camera setup. This paper proposes a deep-learning-based approach that monitors wireless signals to learn three human modes, i.e., absence, working, and sleeping, in realistic...

In wireless sensor and actor networks, when an event is detected, the sensor node needs to transmit an event report to inform the actor. Since the actor moves in the network to execute missions, its location is always unavailable to the sensor nodes. A popular solution is the search strategy that can forward the data to a node without its location...

In recent years, the importance of user information has increased rapidly for context-aware applications. This study proposes a deep learning mechanism to identify the transportation modes of smartphone users. The proposed mechanism is evaluated on a database that contains more than one thousand hours of accelerometer, magnetometer, and gyroscope m...

Due to the limited energy of wireless sensor nodes, the energy efficiency of data collection is a key issue in wireless sensor network (WSN). Dynamic clustering is a scalable and energy efficient solution for data collection in WSN. However, it suffers from the imbalanced energy consumption in the intercluster communication. To solve this problem,...

Multi-hop data collection in wireless sensor networks (WSNs) is a challenge issue due to the limited energy resource and transmission range of wireless sensors. The hybrid clustering and routing (HCR) strategy has provided an effective solution, which can generate a connected and efficient cluster-based topology for multi-hop data collection in WSN...

For multi-hop data collection in wireless sensor network, a fundamental problem is to improve the energy efficiency with the constraint of network connectivity. The HCR protocol combines the gradient routing with dynamic clustering to provide connected and efficient inter-cluster topology with limited transmission range. However, it suffers from th...

Dynamic clustering provides a scalable and energy efficient solution for data transmission in wireless sensor networks. Observing the fact that the cluster reorganization can not solve the problem of imbalanced energy consumption in the inter-cluster communication, we propose an adaptive routing strategy for cluster-based wireless sensor networks (...

For data collection in large-scale wireless sensor networks (WSNs), dynamic clustering provides a scalable and energy-efficient solution, which uses cluster head (CH) rotation and cluster range assignment algorithms to balance the energy consumption. Nevertheless, most existing works consider the clustering and routing as two isolated issues, which...

In wireless sensor and actor networks, when an event is detected, the sensor node needs to transmit an event report to inform the actors. Due to the actor's mobility, its location is always unavailable to sensor nodes. Therefore, the search strategies are always used to transmit data without the actor's location information. In this paper, we study...

Due to the actor mobility and duty cycle of sensor nodes, the data forwarding from sensor nodes to mobile actors is a challenging issue. Motivated by the research results in multi-agent systems, we consider the search packet as an agent moving in the network to search mobile actors. Then a strategy called ballooning is proposed to control the searc...

Due to the high density of node deployment in wireless sensor network, the sensing data of nodes in spatially proximate locations are highly correlated. By effectively exploiting this spatial correlation in the data collection process, unnecessary energy costs for redundant data transmission can be largely reduced. In this paper, we focus on collec...

It is a very important and challenging task to localize an audio-source in wireless sensor networks (WSNs). One of efficient methods for audio-source localization is the so-called time difference of arrival (TDOA) based approach. In this paper, we propose a novel localization method based on Generalized Cross Correlation-Genetic Algorithm (GCC-GA)....

Dynamic Clustering is an efficient topology management approach for sensor networks. Observing the fact that the clustering has tight relations with inter-cluster routing problem, we propose a hybrid clustering and routing protocol (HCR) that considers both the cluster head selection and routing discovery problems. Random backoff and gradient routi...

Applying wireless techniques in the greenhouse is one of the most important trends of the agricultural development. In the clustered wireless network with definite network level, the deployment of cluster head nodes has a great influence on the performance of the network. This paper discusses a three-level network model of the wireless monitoring a...

With the development of the technology of wireless network, the application of the wireless network in the greenhouse for monitoring and control has become popular. One of the key issues of establishing a high-efficient wireless network in the greenhouse is the hierarchy of the network. Based on wireless sensor network and ad-hoc network technology...

Energy efficiency is an essential design issue for wireless sensor networks (WSNs). Single-hop dynamic clustering proposed by LEACH (Low-Energy Adaptive Clustering Hierarchy) is a simple and energy-efficient approach in WSNs. Due to the particular requirements of RF power of wireless sensors, LEACH may only be applicable to small-scale WSNs. In thi...