Regression Cloud Models and Their Applications in Energy Consumption of Data Center by Yanshuang Zhou, Na Li, Hong Li, Yongqiang Zhang

“…A good energy model can reflect the relationships between running tasks and the energy consumed by hardware and can be further used to schedule tasks for saving energy. …”
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Application of Response Surface Methodology to Study the Combined Effect of Temperature, Time and pH on Antioxidant Activity of Cherry (Prunus avium) Honey by Nayik Gulzar Ahmad, Nanda Vikas

“…Response surface methodology (RSM) was employed to analyze the effect of independent variables viz. temperature, time and pH on antioxidant properties of cherry honey. Seventeen runs including five replicates were used to study the combined effect of temperature (60–80°C), time (10–15 min) and pH (3 to 6) on the antioxidant properties [radical scavenging activity (DPPH-RSA), total phenolic content (TPC) and total flavonoid content (TFC)] of cherry honey. …”
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A Design of CP-MIMO System with Elements of a Diamond-Ring Slot for 5G Mobile-Phone by Alyaa Sami Abdullah, Seham A. Hashem, Mahmood F . Mosleh

“…The paradigm results show that each port operated with an operating frequency of 3.74 GHz, with the overall system running at 3.84 GHz. Also, the results show that the MIMO system is suitable for operation in a sub-6 band that qualified for 5G smartphone applications. …”
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Research on the Utilization of Metro Regenerative Braking Energy Based on an Improved Differential Evolution Algorithm by Di Liu, Song-Qing Zhu, Yun-Rui Bi, Kun Liu, You-Xiong Xu

“…Urban metro trains have the characteristics of short running distance between stations and frequent starting and braking. …”
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Prediction of Metro Train-Induced Tunnel Vibrations Using Machine Learning Method by Zhuosheng Xu, Meng Ma, Zikai Zhou, Xintong Xie, Haoxiang Xie, Bolong Jiang, Zhongshuai Zhang

“…To acquire model training samples, the measurements were performed in 80 different running tunnel sections of Beijing metro lines. Two types of method, back propagation neural network (BPNN) and generalised regression neural network (GRNN) were employed, which can make full use of characteristics of measured samples and reduce the data noise. …”
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Direction of Groove Detection for Wear Image of Four-Ball Friction Test Based on Gray Difference of Inclination Angle by Mei Xiao, Ying Zhang, Haiming Wang, Lei Zhang

“…Compared with true angles determined manually, the simulation results of 200 samples show that the average absolute error is 2.1238° and the average running time is 1.3 s per frame. The influence of the algorithm parameters on detection precision is also analyzed.…”
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An Artificial Intelligence Method for Asphalt Pavement Pothole Detection Using Least Squares Support Vector Machine and Neural Network with Steerable Filter-Based Feature Extractio... by Nhat-Duc Hoang

“…Experimental results obtained from a repeated subsampling process with 20 runs show that both LS-SVM and ANN are capable methods for pothole detection with classification accuracy rate larger than 85%. …”
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A Chaotic Cryptosystem for Images Based on Henon and Arnold Cat Map by Ali Soleymani, Md Jan Nordin, Elankovan Sundararajan

“…The results of security analysis of five different images demonstrate the strength of the proposed cryptosystem against statistical, brute force and differential attacks. The evaluated running time for both encryption and decryption processes guarantee that the cryptosystem can work effectively in real-time applications.…”
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Condition Recognition of High-Speed Train Bogie Based on Multi-View Kernel FCM by Qi Rao, Yan Yang, Yongquan Jiang

“…Multi-channel vibration signals are collected by sensors installed on bogies and beneficial information are extracted to determine the running condition. Based on multi-view clustering and considering different views of complementary information, this study proposes a Multi-view Kernel Fuzzy C-Means (MvKFCM) model for condition recognition of the HST bogie. …”
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High-Accuracy and Low-Cost Attitude Measurement Unit of the CubeSat by Haining Ma, Zhengliang Lu, Xiang Zhang, Wenhe Liao, Klaus Briess

“…Using the proposed methods, the attitude measurement unit can continuously provide accurate and reliable attitude knowledge for attitude control unit when the CubeSat is running in orbit. Numerical simulation is performed to verify the effectiveness of the proposed methods, and it offers a reference for CubeSat developers from the perspective of engineering application.…”
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Physical Activity and Obesity: Biomechanical and Physiological Key Concepts by Julie Nantel, Marie-Eve Mathieu, François Prince

“…Special attention is given to the effect of OW and OB in youth during postural (standing) and various locomotor (walking, running, and cycling) activities.…”
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Lane-Changing Behavior Prediction Based on Game Theory and Deep Learning by Shuo Jia, Fei Hui, Cheng Wei, Xiangmo Zhao, Jianbei Liu

“…In the game theory component, the interaction between vehicles during lane changing is analyzed according to the running state of the vehicle, with the probability of lane changing as its output. …”
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ROLE OF THE AMERICAN SOCIETY FOR ENGINEERING EDUCATION IN ENCOURAGING DISTANCE EDUCATION AND OTHER METHODS TO REDUCE COSTS OF ENGINEERING EDUCATION by Walter W. Buchanan

“…Engineering education tends to be higher than education in many other disciplines due to the cost of running and equipping laboratories, which are very important in good hands-on engineering education. …”
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An advertisement dissemination strategy with maximal influence for Internet-of-Vehicles by Yanfei Lu, Zihan Zhao, Bowu Zhang, Qinghe Gao

“…Simulation results demonstrate that the proposed algorithm outperforms existing methods for influence maximization by running time and deliver ratio under different traffic scenarios.…”
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Joint Subchannel Pairing and Power Control for Cognitive Radio Networks with Amplify-and-Forward Relaying by Yanyan Shen, Shuqiang Wang, Zhiming Wei

“…Simulations have been conducted to verify the performance of the proposed algorithms in terms of sum rate and average running time under different conditions.…”
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Artificial Engine Sound Synthesis Method for Modification of the Acoustic Characteristics of Electric Vehicles by Dongki Min, Buhm Park, Junhong Park

“…Sound radiation from electric motor-driven vehicles is negligibly small compared to sound radiation from internal combustion engine automobiles. When running on a local road, an artificial sound is required as a warning signal for the safety of pedestrians. …”
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Study Karaj River And Currents torrential It And its role in groundwater shahriar Plain by Parviz kardavani, Farideh Asadian, mohammad reza Fallah

“…One way of artificial recharge of aquifers, infiltration of water from riverbeds or running water. In this study, we have tried By examining the characteristics of Karaj River and its flood flows, parameters infiltration GIS examined, For this purpose, The different factors affecting this environment GIS to prepare maps of each factor was prepared. …”
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An Adaptive Bacterial Foraging Optimization Algorithm with Lifecycle and Social Learning by Xiaohui Yan, Yunlong Zhu, Hao Zhang, Hanning Chen, Ben Niu

“…The bacteria could split, die, or migrate dynamically in the foraging processes, and population size varies as the algorithm runs. Social learning is also introduced so that the bacteria will tumble towards better directions in the chemotactic steps. …”
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Reliability Evaluation of Distribution Power Systems Based on Artificial Neural Network Techniques by Mohammoud M. Hadow, Ahmed N. Abd Allah, Sazali P. Abdul karim

“…The result obtained by proposed method gives acceptable reliability indices and can also found that the deviation of computed values by the proposed method is less than 1% and needs running time on ASUN network environment of less than 2 s. …”
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Analysis of the Impact of Magnetic Materials on Cogging Torque in Brushless DC Motor by K. Karthick, S. Ravivarman, Ravi Samikannu, K. Vinoth, Bashyam Sasikumar

“…The multiposition is simulated using a transient application that runs at constant speed. The results of cogging torque, rotational speed, angular position of BLDC motor, and magnetic flux density distribution have been presented. …”
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