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Full-Text Articles in Science and Technology Studies
A Hybrid Unsupervised Clustering-Based Anomaly Detection Method, Guo Pu, Lijuan Wang, Jun Shen, Fang Dong
A Hybrid Unsupervised Clustering-Based Anomaly Detection Method, Guo Pu, Lijuan Wang, Jun Shen, Fang Dong
Faculty of Engineering and Information Sciences - Papers: Part B
In recent years, machine learning-based cyber intrusion detection methods have gained increasing popularity. The number and complexity of new attacks continue to rise; therefore, effective and intelligent solutions are necessary. Unsupervised machine learning techniques are particularly appealing to intrusion detection systems since they can detect known and unknown types of attacks as well as zero-day attacks. In the current paper, we present an unsupervised anomaly detection method, which combines Sub-Space Clustering (SSC) and One Class Support Vector Machine (OCSVM) to detect attacks without any prior knowledge. The proposed approach is evaluated using the well-known NSL-KDD dataset. The experimental results demonstrate …
An Edge Based Multi-Agent Auto Communication Method For Traffic Light Control, Qiang Wu, Jianqing Wu, Jun Shen, Binbin Yong, Qingguo Zhou
An Edge Based Multi-Agent Auto Communication Method For Traffic Light Control, Qiang Wu, Jianqing Wu, Jun Shen, Binbin Yong, Qingguo Zhou
Faculty of Engineering and Information Sciences - Papers: Part B
With smart city infrastructures growing, the Internet of Things (IoT) has been widely used in the intelligent transportation systems (ITS). The traditional adaptive traffic signal control method based on reinforcement learning (RL) has expanded from one intersection to multiple intersections. In this paper, we propose a multi-agent auto communication (MAAC) algorithm, which is an innovative adaptive global traffic light control method based on multi-agent reinforcement learning (MARL) and an auto communication protocol in edge computing architecture. The MAAC algorithm combines multi-agent auto communication protocol with MARL, allowing an agent to communicate the learned strategies with others for achieving global optimization …
Ensemble Neural Network Method For Wind Speed Forecasting, Binbin Yong, Fei Qiao, Chen Wang, Jun Shen, Yongqiang Wei, Qingguo Zhou
Ensemble Neural Network Method For Wind Speed Forecasting, Binbin Yong, Fei Qiao, Chen Wang, Jun Shen, Yongqiang Wei, Qingguo Zhou
Faculty of Engineering and Information Sciences - Papers: Part B
Wind power generation has gradually developed into an important approach of energy supply. Meanwhile, due to the difficulty of electricity storage, wind power is greatly affected by the real-time wind speed in wind fields. Generally, wind speed has the characteristics of nonlinear, irregular, and non-stationary, which make accurate wind speed forecasting a difficult problem. Recent studies have shown that ensemble forecasting approaches combining different sub-models is an efficient way to solve the problem. Therefore, in this article, two single models are ensembled for wind speed forecasting. Meanwhile, four data pre-processing hybrid models are combined with the reliability weights. The proposed …
A Method Of Uncertainty Analysis For Whole-Life Embodied Carbon Emissions (Co2-E) Of Building Materials Of A Net-Zero Energy Building In Australia, Mehdi Robati, Daniel J. Daly, Georgios Kokogiannakis
A Method Of Uncertainty Analysis For Whole-Life Embodied Carbon Emissions (Co2-E) Of Building Materials Of A Net-Zero Energy Building In Australia, Mehdi Robati, Daniel J. Daly, Georgios Kokogiannakis
Faculty of Engineering and Information Sciences - Papers: Part B
The construction of new buildings requires the use of a substantial amount of materials, which have an associated embodied energy for manufacturing, transport, construction and end-of-life disposal. A number of inventories have been developed to collate the typical embodied energy or carbon emissions associated with different building materials and activities, and these can be used to quantify the environmental impacts of different construction methods. However, uncertainty exists in the estimation of embodied CO2-e emissions and other environmental impact results, due to i) inconsistencies in typical embodied carbon emissions values in inventories; ii) errors in estimations of material quantities; iii) assumptions …
Human Action Segmentation Based On A Streaming Uniform Entropy Slice Method, Cheng Peng, Sio-Long Lo, Jie Huang, Ah Chung Tsoi
Human Action Segmentation Based On A Streaming Uniform Entropy Slice Method, Cheng Peng, Sio-Long Lo, Jie Huang, Ah Chung Tsoi
Faculty of Engineering and Information Sciences - Papers: Part B
Segmentation of human actions is a major research problem in video understanding. A number of existing approaches demonstrate that performing action segmentation before action recognition results in better recognition performance. In this paper, we address the problem of action segmentation in an online manner. We first extend the clustering-based image segmentation approach into a temporal one, where hierarchical supervoxel levels for action segmentation are generated accordingly. We then propose a streaming approach to flatten the hierarchical levels into one based on Uniform Entropy Slice (UES), in order to preserve important information in the video. The flattened level contains the silhouette …
Integrated Condition Monitoring And Prognosis Method For Incipient Defect Detection And Remaining Life Prediction Of Low Speed Slew Bearings, Wahyu Caesarendra, Tegoeh Tjahjowidodo, Buyung Kosasih, Anh Kiet Tieu
Integrated Condition Monitoring And Prognosis Method For Incipient Defect Detection And Remaining Life Prediction Of Low Speed Slew Bearings, Wahyu Caesarendra, Tegoeh Tjahjowidodo, Buyung Kosasih, Anh Kiet Tieu
Faculty of Engineering and Information Sciences - Papers: Part B
This paper presents an application of multivariate state estimation technique (MSET), sequential probability ratio test (SPRT) and kernel regression for low speed slew bearing condition monitoring and prognosis. The method is applied in two steps. Step (1) is the detection of the incipient slew bearing defect. In this step, combined MSET and SPRT is used with circular-domain kurtosis, time-domain kurtosis, wavelet decomposition (WD) kurtosis, empirical mode decomposition (EMD) kurtosis and the largest Lyapunov exponent (LLE) feature. Step (2) is the prediction of the selected features' trends and the estimation of the remaining useful life (RUL) of the slew bearing. In …
Simulation Of The Melting Process Of Ice Slurry For Energy Storage Using A Two-Fluid Lattice Boltzmann Method, Qi Lin, Shugang Wang, Zhenjun Ma, Jihong Wang, Tengfei Zhang
Simulation Of The Melting Process Of Ice Slurry For Energy Storage Using A Two-Fluid Lattice Boltzmann Method, Qi Lin, Shugang Wang, Zhenjun Ma, Jihong Wang, Tengfei Zhang
Faculty of Engineering and Information Sciences - Papers: Part B
Ice slurry can be used as the thermal storage media in latent cool storage systems for both residential and commercial buildings. This paper presents the investigation of the phase change characteristics of the ice slurry using a two-fluid Lattice Boltzmann Method (TFLBM). The melting and migration processes of the ice slurry are simulated by improving the equilibrium distribution function and matching the relevant parameters such as the kinetic viscosity of ice particle cluster and cross-collision coefficient. The sensitivity analysis of the ice slurry viscosity and cross-collision coefficient are achieved through six numerical experiments, and the ice melting in the internal-melt …
Thermal Performance Evaluation Of An Integrated Photovoltaic Thermal-Phase Change Material System Using Taguchi Method, Haoshan Ren, Wenye Lin, Zhenjun Ma, Wenke Fan
Thermal Performance Evaluation Of An Integrated Photovoltaic Thermal-Phase Change Material System Using Taguchi Method, Haoshan Ren, Wenye Lin, Zhenjun Ma, Wenke Fan
Faculty of Engineering and Information Sciences - Papers: Part B
This paper presents the performance evaluation of an integrated photovoltaic thermal (PVT) collector-phased change material (PCM) thermal energy storage (TES) system. The PVT collectors can generate both electricity and low-grade thermal energy during the daytime, and the thermal energy generated can be temporarily stored in the PCM TES unit and used for space heating during the night-time. Taguchi method and analysis of variance are used for the simulation design and data analysis, respectively. The thermal performance of the proposed system was evaluated in terms of the useful energy stored in the TES system. The results showed that the outlet air …
Study On Micro Hydro-Mechanical Deep Drawing Using Finite Element Method, Xiaoguang Ma, Jingwei Zhao, Wei Du, Xin Zhang, Laizhu Jiang, Zhengyi Jiang
Study On Micro Hydro-Mechanical Deep Drawing Using Finite Element Method, Xiaoguang Ma, Jingwei Zhao, Wei Du, Xin Zhang, Laizhu Jiang, Zhengyi Jiang
Faculty of Engineering and Information Sciences - Papers: Part B
A numerical model was established to investigate the micro hydro-mechanical deep drawing process of austenitic stainless steel 304 foil (0.05 mm thickness). Due to the miniaturisation of the specimen size, the effect of grain size, gap distance and radial pressure during drawing process could be prominent. The results indicate that the appropriate radial pressure and gap distance could improve the limit drawing ratio (LDR) of manufactured cylindrical cups by reducing the friction resistance. The maximum LDR obtained in the present work reaches 3.2, which is much higher than that obtained by conventional deep drawing process.
A Practical Tuning Method For The Robust Pid Controller With Velocity Feed-Back, Emre Sariyildiz, Haoyong Yu, Kouhei Ohnishi
A Practical Tuning Method For The Robust Pid Controller With Velocity Feed-Back, Emre Sariyildiz, Haoyong Yu, Kouhei Ohnishi
Faculty of Engineering and Information Sciences - Papers: Part B
Proportional-Integral-Derivative (PID) control is the most widely used control method in industrial and academic applications due to its simplicity and efficiency. Several different control methods/algorithms have been proposed to tune the gains of PID controllers. However, the conventional tuning methods do not have sufficient performance and simplicity for practical applications, such as robotics and motion control. The performance of motion control systems may significantly deteriorate by the nonlinear plant uncertainties and unknown external disturbances, such as inertia variations, friction, external loads, etc., i.e., there may be a significant discrepancy between the simulation and experiment if the robustness is not considered …