Rapid freshness prediction of crab based on a portable electronic nose system
In this paper, an automatic freshness prediction system for the living Chinese mitten crab was explored, which was formed from an electronic nose based on seven metal oxide semiconductor sensors. Prediction system acquired test data from the ...
Low-frequency structure-borne noise refinement based on rigid-flexible coupling model of powertrain mounting system
The refinement of low-frequency structure-borne noise generated by automotive powertrain mounting system usually adopts Transfer Path Analysis (TPA) and vehicle body plate optimisation, which require a lot of simulation or experiment work based on the ...
Analysis of an approach to reducing drops of secondary user on primary user emulation attack
In this paper, we propose a method for a Cognitive Radio Network (CRN) to reduce the drop probability of Secondary User (SU) due to the Primary User Emulation Attack (PUEA) of Malicious User (MU). Instead of abandoning the current channel, a novel method ...
Broad learning system for human activity recognition using sensor data
In a multi-sensor environment, it is efficient to record and reflect people's information of activities, using the large amount of data. However, the data cannot directly display the form of activity itself so that it is necessary to do the further job of ...
An adaptive multi-threshold segmentation algorithm for complex images under unstable imaging environment
Images acquired from actual manufacturing practice are difficult to segment for uncertainty surface quality of work-piece and unstable imaging environment, which may result in limited robustness for traditional image segmentation algorithms. Nevertheless, ...
Multiple cell tracking by generalised labelled multi-Bernoulli filter
Cell detection and tracking in microscopy images are of great importance to medical research and related fields. In this paper, a generalised labelled multi-Bernoulli (GLMB) track-before-detect (TBD) filter is proposed for the tracking of multiple cells. ...
Multi-threading parallel reinforcement learning
With respect to the problem of the slow convergence of the traditional reinforcement learning algorithm in practical applications, we propose a novel multi-threading parallel reinforcement learning algorithm - MPRL. MPRL is mainly composed of two parts. ...
A new topology and power control of grid-connected photovoltaic array
Under the partial shading, the series photovoltaic modules will generate additional power loss and present a multi-peak power-voltage curve which brings difficulties to the maximum power point tracking. By using a novel grid-connected topology and power ...
A model for target acquisition and edge detection under complex scenes
For the needs of target acquisition and edge extraction under complex scenes, a method based on layer by layer segmentation is proposed. First of all, morphological reconstruction technology is combined with ant colony edge detection method to execute pre-...
Development of shipbuilding safety information monitoring and management system
The production safety accidents in the shipbuilding industry in China frequently occur nowadays. Based on the key technology of the Internet of Things (IoT) as the communication basis, this paper designs a new type of shipbuilding safety monitoring system ...
Automatic selection of lexical features for detecting Alzheimer's disease using bag-of-words model and genetic algorithm
Early detection of Alzheimer's disease is the key to treatment. Neuropsychological testing has the advantages of being non-invasive and low-cost, but the need for manual selection of features and expert diagnosis is not conducive to the popularity of this ...
An operation sequence-based temporal multilayer networks model for production process in flexible manufacturing systems
This paper focuses on flexible manufacturing systems, which is a typical discrete event system. Different from traditional approaches for the system, this paper provides a multidimensional, ordinal, temporal topology structure to depict the dynamic ...
Crowd counting via scale-adaptive convolutional neural network in extremely dense crowd images
Crowd counting, a high accuracy and high-speed technology, has been applied in new retail, shopping mall, underground, rail station and vehicle surveillance systems. However, due to the inconsistent sizes of human heads, there are a lot of counting errors ...
Design of a new type of float flowmeter and remote monitoring system based on ARM microcontroller
A new type of float flowmeter remote monitoring system developed in this paper has been optimised in terms of system integration, software and hardware. The system uses a cost-effective 32-bit ARM microcontroller as the control processing unit to achieve ...
Research on robot location based on an improved method of map feature matching
With respect to robot self-positioning, this study reports that the map feature extraction algorithm based on Euclidean distance is improved, the processing of outliers and class division points in line segment landmark fitting is added, and the slope and ...
