bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anomaly Detection Based on Locality Sensitive Hashing with Genetic Algorithm
Authors: Zhang Tao , Fan Zijuan , Yu Xiangyu 
Published: April 2020

Abstract
With the increase of public safety awareness, video anomaly detection has attracted researchers’ attention. In the paper, a novel approach is proposed to detect anomalies in the video. It is based on Locality Sensitive Hashing (LSH), which maps similar data to the same bucket with high probabilities, and non-similar data is mapped to the same bucket with a low probability to detect abnormal videos that are not similar to normal videos. In order to improve the probability of similar data mapping into the same bucket, the Genetic Algorithm (GA) is used to optimize the entire hash function group while maintaining the diversity of the hash function group. The algorithm gets AUC 0.78 on the dataset UCSD ped1 and AUC 0.94 on the dataset UCSD ped2, which confirmed the effectiveness of the algorithm.
Battery Equalization Strategy for LiMn2O4 Battery Based on Fuzzy Control
Authors: Zhang Songming , Ma Xiao , Qiu Danfeng 
Published: April 2020

Abstract
With the pollution of the environment and the shortage of energy, new energy vehicles, especially electric vehicles (EVs), have received more and more attention. Power batteries are the most important part of new energy vehicles. Electric vehicles usually require hundreds or even thousands of batteries as the power source, but there are inconsistencies between these batteries due to manufacturing process limitations. This situation will cause over-charging and over-discharging of the batteries, which seriously affects the safety of the battery packs. In order to solve this problem, this paper proposed a battery equalization strategy based on fuzzy control, and simulated the strategy in MATLAB/SIMULINK. The result proved that the scheme could automatically balance the batteries, which effectively prevented over-charging and over-discharging of the batteries.
Permanence, Extinction and Periodic Solution of a Non-autonomous Cooperative System with Stage Structure
Authors: Halik Azhar , Muhammadhaji Ahmadjan , Mahemuti Rouzimaimaiti 
Published: April 2020

Abstract
This paper studies a class of non-autonomous two-species cooperative system with stage structure. Some sufficient conditions on the boundedness, permanence, extinction, periodic solution of the system are established by using the comparison method.
Virtual Human Motion Extension Based on Bayesian Network
Authors: Qu Shi , Xu Tinxin , Ma Liang , Liu Jianxun 
Published: April 2020

Abstract
Aiming at the problem of virtual human motion reuse, the concept of motion extension is proposed, which includes lengthways extension and transverse extension. The lengthways extension extends motion along the time, and generates more frames from existing motion. The transverse extension extends motion to other characters, and multiple characters motion is generated by single character motion. Each motion in the group is similar and different from each other. Motion extension provides unified solution to important issues such as motion prediction, motion repair, and group motion. We construct the Bayesian network of the virtual human motion, which studies and reduces the dimension of the virtual human motion, and propose a method of motion extension based on Bayesian network. Experiments show that our method can generate more realistic virtual human motion based on existing motion, and provide support for the application of virtual human in the fields of bio-engineering, medicine and military.
Super-resolution Restoration of Single Vehicle Image Based on ESPCN-VISR Model
Authors: Xu Mengxi , Du Xinyu , Wang Danhua 
Published: April 2020

Abstract
In the process of image acquisition monitoring in vehicle license plate recognition system, the accuracy of license plate recognition will decrease which is caused by the complicated application scenarios, poor performance of the equipment and system, and the degeneration of surveillance images. In order to overcome the shortcoming, a super-resolution restoration method for single vehicle image based on efficient sub-pixel convolutional neural network (ESPCN) model is proposed (hereinafter referred to as ESPCN-VISR method). In the experiments, ESPCN-VISR method was proved to be superior by four indexes of quantitative assessment which are peak signal to noise ratio (PSNR), structural similarity (SSIM), vehicle license plate recognition accuracy (VLPRA), and calculation time of reconstruction (CTR). Compared with the methods based on sparse dictionary learning and deep convolutional neural network SRCNN, the ESPCN-VISR method can improve the performance of vehicle license plate recognition system with vehicle license plate sample image dataset LPI-1000.
Maneuvering Target Tracking Based on Multiple-model Multipath Bernoulli Filter
Authors: Qin Yong , Liu Yong , Li Kangjie , Zou Baojuan , Liu Baohong 
Published: April 2020

Abstract
Aiming at the problem of maneuvering single target tracking in over the horizon radar system under the clutter environment, a novel multiple-model multipath Bernoulli filter (MM-MPBF) algorithm is proposed. First, the multipath target measurement model is established based on the finite set statistics, and then combining the multiple models method with the multipath Bernoulli filter to deal with the single maneuvering target tracking problem in over the horizon radar system. Finally, the simulation experiment is used to verify the performance of the MM-MPBF algorithm.
Dynamic Trilateral Game Model for Attack Graph Security Game
Authors: Hu Chenao , Yan Xuefeng 
Published: April 2020

Abstract
Internal threats have a huge impact on the attack graph security game. The failure of the MTD model defence measures would be caused by the existence of internal users with certain authority. Dynamic trilateral game model was proposed to extend the original two-part game model. By materializing internal threats, the uncertainty of two-part game model was eliminated, which was expressed as the probability equation used by the players in the observation state process. And the relationship between the offensive and defensive sides became indirect. The user strategy, based on mixed strategy game model, was proposed to increase the coupling between stealth attack and internal threats. The income matrix was dynamically constructed to measure the behavioural outcomes of users and attackers. User behavioural references were obtained through dynamic programming. For the defender, the heuristic strategy in the model reduces the complexity of parties’s behaviour through random sampling. Experiments were carried out on the attack graph model under various game settings. Compared with the two-part game model, our model’s experimental results showed that the cyber security risks were reduced by 17.9% and 18.8% respectively on the strong and weak structural attack graph.
Visual Simulation of Building Wind Environment Based on Computational Fluid Dynamics
Authors: Ren Jiaqian 
Published: April 2020

Abstract
Wind environment visualization research is of great significance to building energy conservation. In this paper, the wind environment simulation of the building group is carried out by CFD software. The wind environment status of the building group is determined by the assumptions and analysis of the wind speed, building group layout, building height, and ground roughness in summer and winter. The results show that under the typical wind speed and wind direction in summer, the wind environment of the project is good, and there is basically no vortex or windless area of the site. About 70% of the open window can be opened. Under the typical wind speed and wind direction in winter, the wind speed of the pedestrian area is within 3m/s. Except for the first row of buildings, the wind pressure difference between the windward and leeward surfaces is basically between 1 and 6Pa.
Synchronization for a Fuzzy Cellular Neural Networks with Mixed Time Delays
Authors: Halik Azhar , Mahemuti Rouzimaimaiti 
Published: April 2020

Abstract
This paper investigates the general decay synchronization (GDS) for fuzzy cellular neural networks (FCNNs). Compared with previous research results, constant time delays and distributed time delays are taken into consideration. By using the Lyapunov function method and some inequality techniques, several sufficient conditions are derived on the GDS for FCNNs. Ultimately, a numerical example is also carried out to validate the practicability and feasibility of our proposed results.
Design and Implementation of Intelligent Singer Recognition System
Authors: Ge Can , Li Juanjuan , Liu Lina , Li Gukai , Yang Guoxing , Tang Hui , Yang Hanlin , Xia Yifan , Bao Rui , Zhang Haiyu 
Published: April 2020

Abstract
An intelligent singer recognition system was designed to identify the singer. The scheme established a song library at first, then used MATLAB to extract Mel Frequency Cepstral Coefficients (MFCC) from each song in the song library, moreover, set up characteristic parameters pattern base and trained the pattern base by Vector Quantization (VQ) to obtain the final codebook base. Finally, it can correctly classify the singer based on Dynamic Time Warping (DTW) matching reference characteristic parameters pattern with test pattern. Test results showed that the system’s recognition rate is up to 90%.
Design and Preliminary Evaluation of A Biomimetic Underwater Robot with Undulating Fin Propulsion
Authors: Liu Lei , Li Yaxin , Wang Yu , Ma Xinyu 
Published: April 2020

Abstract
Biomimetic undulating fin propulsion systems have the advantages for enhancing the maneuverability and efficiency of underwater robot when compared with conventional driving forms. However, there are still some defects existing in this approach, such as low speed and difficulty in depth control. This paper presents the mechanical design, control system design and experimental evaluation of a biomimetic underwater robot with undulating fin propulsion. First, a 3D model of the robot was established in CATIA. According to the kinematic model of the fins, the design of undulating fin propulsion system have been optimized and the phase control method has been proposed to fit with the design. Next, a control system with hybrid structure switching between autonomous mode and remote mode has been implemented to address the problem that the robot is out of control in underwater environment due to the attenuation of radio signals. Finally, the underwater locomotion performance of the robot has been validated in a swimming pool. The result indicates that the robot can achieve multiple degree of freedoms (DOFs) motions by controlling the kinematic parameters of the fin and was able to swim as fast as 31.6 cm/s (nearly 0.8 body length per second).
Automatic Segmentation for Virtual Human Motion
Authors: Qu Shi , Xu Tinxin , Ma Liang , Liu Jianxun 
Published: April 2020

Abstract
A technique of automatic segmentation for motion data has been proposed, which describes high-dimensional motion with low-dimensional motion character and automatically segments the motion capture data by detecting changes of motion character. Gaussian Process Latent Variable Models has been used to reduce dimension for motion data. In this model, the motion data has been mapped from observation space to latent space. The character function of motion has been constructed in the latent space, and it has excellence including sensitive to all joints, simple construction, and so on. The motion data segmentation points can be detected to complete motion segmentation after analyzing character function by geometry character. The technique in this paper has well adaptation and high correct rate as shown in experiments.
Fault Detection and Isolation of the Electro-Mechanical Actuator Based on BIT
Authors: Yang Tao , Cao Xinlei , Yang Jinpeng 
Published: April 2020

Abstract
Large UAV (Unmanned Aerial Vehicle) for scout and strike is a new trend in modern battlefield because of economy in use, high attendance and low casualty, whose safety is of top concern. EMA (Electromechanical Actuator), as the key component, impacts on UAV a lot. Its performance decides whether the flight is safe or not. In this paper, BIT (Built-In Test) function is designed according to characteristics of EMA with dual-redundancy used for scout and strike UAV. Based on the BIT analysis and BIT design principle, the BIT test methods are brought up. Thanks to the BIT design, the corresponding fault detection and fault isolation of EMA are available which are presented in details. The paper tells the faults that can be detected and then describe how to isolate them. In order to verify the validity of BIT design and the effectiveness of fault detection as well as fault isolation, the corresponding experimental platform is built and several experiments are conducted. The results show that the rates of fault detection, fault isolation and false alarm is desirable. The methods in this paper is feasible and effective.
Stacking Position Allocation Model Based on Automatic Rail Crane
Authors: Rong Jia , Ji Shouwen , Zhao Qianru , Guo Dong 
Published: April 2020

Abstract
In order to reduce the energy consumption of the automated container terminal, based on the operation of the container in the yard, this paper used the travel distance of the automatic rail crane to represent the energy consumption problem to study the problem of container allocation. Under the premise that the operating time of inbound container was known, this paper took the number of pressurized containers as a limiting condition, and established the allocation model of the storage space to minimize the travel distance of the automatic rail crane. Considering that the model had a large calculation scale and was an NP-hard problem, a genetic algorithm was used to solve it. Example analysis results show that the model and algorithm can effectively reduce the travel distance of the automatic rail crane by 17.02% under the premise of controlling the number of pressure boxes.
Research on Continuous Power Shift Process of Hydro-Mechanical Continuously Variable Transmission
Authors: Guo Zhanzheng , Sun Dongmei , Xu Liyou , Xu Ruiliang 
Published: April 2020

Abstract
Which through the state switch of shifting mechanism and combined with speed regulation of hydraulic transmission system, the shift of Hydro-Mechanical continuously variable transmission (HMCVT) is realized. The traditional method of shift is short intervals or cross, which will easily lead to power interruption and affects the shift quality. In this study, the continuous power-shift is realized in the method of short overlap between segments. The continuous power shift process of HMCVT is studied in theory. The result of theoretical research is verified on the test bench, which provided suggestions for better shift quality and making control strategy.
Research on Control Methods of Six-phase Permanent Magnet Synchronous Motor
Authors: Zhu Jianguang , Chu Xu 
Published: April 2020

Abstract
Compared with three-phase motors, multi-phase motor speed control systems have many advantages, which make them have good prospects in many fields, such as the control system of electric vehicle power equipment. In these control systems, it is necessary for the motor to have a wider speed range. This paper takes six-phase permanent magnet synchronous motors as the research object, and analyzes several control methods of vector control theory for permanent magnet synchronous motor control based on the derivation of its mathematical model, including i

d
= 0 control, maximum torque per ampere (MTPA) control, and flux weakening control. Finally, MATLAB / Simulink is used for simulation research, and the advantages and disadvantages of different control methods are compared. In this paper, a strategy of MTPA control below the base speed and flux weakening control above the base speed is proposed, which not only reduces the copper consumption of the motor, but also expands the speed-up range of the permanent magnet synchronous motor.
Precision Positioning Control Based on Two-coordinate Incremental Encoder
Authors: Mao Guangyang , Zhang Xianmin , Xie Lingbo 
Published: April 2020

Abstract
To increase the working space of atomic force microscopy, this article presents a precision positioning stage. The structure of this stage is optimized to decrease the largest deformation. The coreless linear motor and two-coordinate incremental encoder are selected to build full-closed loop control. The two-coordinate encoder can measure two-direction position signals which can be sent to the controller. Through the interpolation and digitizing electronics, resolution of control can satisfy precision positioning. The full-closed loop control can also decrease straightness error and improve trajectory tracking accuracy.
The Effect of the Ring on the Buckling of Stiffened Cylindrical Shells
Authors: Zhang Dong , Liu Mingkun , Wang Jun , Liang Wei 
Published: April 2020

Abstract
An analysis on the stringer-stiffened cylindrical shell with a large interval ring is described. The buckling of the shell under axial compression is forecasted by the method of the Ultimate Load Method, to simplify the interconnection on steadiness between shell and stringers. Although the shell between stringers is semi-empirical modeled, the buckling of the stringers which are bolstered with the other stiffened component ring is analytically solved. It is show that support effect of the ring on the stiffened cylindrical shell is quantized by a ring coefficient. The buckling load of the stringer-stiffened cylindrical shell is calculated on the different length. Finally, the ring coefficient is used to explants the so-called shielding panel effect ring. The present results could be an important reference for the design of stiffened shell under axial compression.
Effect of vegetable oils as cutting fluid on wear of carbide cutting tool insert in a milling process
Authors: Nasution Arya R. , Fuadi Z. , Hasanuddin I. , Kurniawan R. 
Published: April 2020

Abstract
This research focusses on the effect of vegetable oils, i.e. crude palm oil (CPO) and coconut oil (CO), used as the cutting fluid on the wear of carbide cutting tool insert in a face milling process. The performances of the tool, in term of wear and the surface roughness of the workpiece, were investigated and compared to those resulting from a similar milling process but using conventional cutting fluid, which is a commercial soluble oil emulsion (SOE). The results show that at the spindle speed of 360 rpm and the feed rate of 80 mm/min, the tool wear was smaller in the case of CO than that in the case of CPO cutting fluid, which is 0.16 mm2 compared to 0.40 mm2, respectively. The tool worn area in these cases are still larger than that in the case of SOE, which is 0.09 mm2. However, at higher spindle speed of 490 rpm and feed rate of 80 mm/min, the smallest tool worn area occurred for the case of CO cutting fluid, which is 0.04 mm2, compared to 0.1 mm2 and 0.11 mm2 for the case of CPO and SOE cutting fluids, respectively. As for the workpiece, the achieved surface roughness, Ra, were relatively similar for all the evaluated cases.
LEAN Production Management Model based on Organizational Culture to Improve Cutting Process Efficiency in a Textile and Clothing SME in Peru
Authors: Cespedes-Pino R , Hurtado-Laguna J , Macassi-Jaurequi I , Raymundo-Ibañez C , Dominguez F 
Published: April 2020

Abstract
In recent years, homegrown SMEs have had low production levels when compared with Chinese garment imports, losing their competitive advantage in the domestic market. SMEs represent 96% of garment companies in Peru and have a positive impact on the creation of jobs. The search for a technique to improve SME output was conducted in various studies; however, the efforts did not bear fruit over time. Thus, this article seeks to improve the low production efficiency in textile and clothing SMEs. Therefore, we proposed a model and validated it in the production area of a denim clothing manufacturing company in Peru. We conducted business diagnostics and found a production efficiency problem. Later, we adapted the Lean production management model to the prevailing organizational culture. The main result was that the company’s production efficiency increased from 68% to 71%. Finally, employee commitment, along with the combination of the Lean model and organizational culture, allowed the improvements to stand the test of time after their implementation.
Maintenance Management Model under the TPM approach to Reduce Machine Breakdowns in Peruvian Giant Squid Processing SMEs
Authors: Gallesi-Torres A , Velarde-Cabrera A , León-Chavarri C , Raymundo-Ibañez C , Dominguez F 
Published: April 2020

Abstract
In recent years, the giant squid processing industry in Peru exhibited a 59% increase in exports with respect to 2018. According to estimates, this industry generates approximately 30,900 jobs per year. However, some SMEs experience low productivity, such as the PECEPE company, due to plant downtime. This represents 26% of the available time, which translates into the loss of 1760 tons every year. The most constraining external factor the sector faces is uncertainty in resource availability caused by changing weather conditions and informal fishing activities. Although there is a large number of research studies on the fishing industry and resource extraction, literature on processing plant operations is scarce. Within this context, this study seeks to promote a high impact sector in Peru, as well as fostering processing plant competitiveness and productivity. Hence, to address these issues, the authors propose a maintenance management model under the TPM approach. As part of the results from model implementation, a 39% decrease was reported in plant downtime, while maintenance costs also decreased by 16%, which, in turn, increased machine availability and production by 784 tons per year.
A framework for developing lot-sizing and scheduling model for multiproduct
Authors: Badri Huda Muhamad , Khamis Nor Kamaliana , Jameelah Ghazali Mariyam 
Published: April 2020

Abstract
This paper considers the issue of lot-sizing and scheduling for multi-product production facilities using flexible flow lines. Flexible flow lines are also called flow lines with parallel machines at several or all stages of production with various products. The problem encountered in the company produce machine sparepart is a scheduling that is not optimal such as work rules that are not systematic causing a long of manufacturing time, but it also does not systematically result in scheduling a plan that is not optimal lot-sizing. In solving the problem, this paper proposes adjustments to scheduling planning and lot-sizing to improve the company performance. The objective of this study is to minimize processing time and production cost so as to satisfy customers. The expectation of the conceptual framework of the lot-sizing model and scheduling model is to be able to optimize lot-sizing and scheduling to achieve multi-objective goals of production time and production cost as a result of decisions related to many machine and lot size.