Welcome to Journal of Beijing Institute of Technology

2019 Vol. 28, No. 2

Display Method:
Optimization Strategy Using Dynamic Metamodel Based on Trust Region and Biased Sampling Method
Jianqiao Yu, Fangzheng Chen, Yuanchuan Shen
2019, 28(2): 191-197. doi:10.15918/j.jbit1004-0579.17195
Abstract:
Combining a trust region method with a biased sampling method, a novel optimization strategy (TR-BS-KRG) based on a dynamic metamodel is proposed. Initial sampling points are selected by a maximin Latin hypercube design method, and the metamodel is constructed with Kriging functions. The global optimization algorithm is employed to perform the biased sampling by searching the maximum expectation improvement point or the minimum of surrogate prediction point within the trust region. And the trust region is updated according to the current known information. The iteration continues until the potential global solution of the true optimization problem satisfied the convergence conditions. Compared with the trust region method and the biased sampling method, the proposed optimization strategy can obtain the global optimal solution to the test case, in which improvements in computation efficiency are also shown. When applied to an aerodynamic design optimization problem, the aerodynamic performance of tandem UAV is improved while meeting the constraints, which verifies its engineering application.
Investigation and Simulation of CNG Bus Emissions Based on Real-World Emission Measurement
Lijun Hao, Chunxiao Hao, Taihua Qiu, Hang Yin, Jianwei Tan, Xin Wang, Yunshan Ge
2019, 28(2): 198-208. doi:10.15918/j.jbit1004-0579.18058
Abstract:
The regulated gaseous emissions from 2 China-V compressed natural gas (CNG) buses and 2 China-V diesel buses were investigated using a portable emissions measurement system (PEMS) under real road driving conditions. Compared to diesel buses, CNG buses emit less NOx pollutants, but more HC and CO pollutants based on the test results obtained in this paper. In order to evaluate the pollutant emission status of CNG buses in Beijing, an instantaneous emission model as a function of vehicle speed and vehicle specific power (VSP) was developed and validated based on emission data taken from one CNG bus. The input of the instantaneous emission model consists of driving cycle, vehicle parameters, road conditions, ambient conditions and accessory use, all of which were used to calculate the instantaneous vehicle specific power (VSP). For the core model, a group of pollutant emission maps represented as functions of vehicle speed and VSP were used to calculate the second by second emission rates. Finally, the instantaneous emission rates, emission factors and fuel consumption over the selected driving cycle could be obtained as the model outputs. The predicted results for the emissions and fuel consumption of the CNG bus were very close to the tested emission data. The prediction errors for emission factors and fuel consumption varied in the range of -1.62% to -5.8%.
Error Analysis on the Positioning Accuracy of a Pneumatic Vibration Isolator
Qiang Yu, Dengfeng Xu, Yu Zhu, Gaofeng Guan, Qiang Li
2019, 28(2): 209-217. doi:10.15918/j.jbit1004-0579.17188
Abstract:
A method of error analysis on the positioning accuracy of a pneumatic vibration isolator was proposed. First, the necessity of positioning accuracy was studied, in addition to the key factors associated with positioning accuracy. These analyses indicated that the positioning accuracy of the pneumatic vibration isolator was mainly attributed to the position error of the push button and the gap between the spindle and valve stem. Second, the error model of the positioning accuracy of the pneumatic vibration isolator was established through geometric simplification and geometric calculation. There are different methods used to calculate the position error of the push button for the different valves. Finally, an example analysis evaluating the impact of a specific two-position three-way valve on the positioning accuracy was given by means of error distribution. Experimental results validated the accuracy of the error model and the example analysis. This error model can be used to guide the structural parameter optimization design according to the requirements for positioning accuracy.
H infinity Control for Sandwiched Maglev Stage with Dynamic Damping
Ningran Song, Shuyuan Ma, Zongqing Zhang, Shansi Zhang, Changmeng Liu
2019, 28(2): 218-225. doi:10.15918/j.jbit1004-0579.17186
Abstract:
An H infinity (H∞) controller for a sandwiched maglev positioning stage is proposed. The maglev positioning stage has a special structure:a sandwiched maglev stage, consisting of repulsive linear motors and attractive linear motors, which have better levitation performance. Forces on the sandwiched maglev stage are analyzed and modeled. The positioning controller is designed based on the feedback linearized model with a dynamic damping system. The design of the H infinity controller for stage positioning is derived as a series of linear matrix inequalities (LMIs) which are efficiently solved in Matlab. The proposed controller and its effectiveness is demonstrated compared to PID method.
Numerical Investigation of the Effects of Rate-Shaped Main Injection on Combustion and Emission in an OPOC Two-Stroke Diesel Engine
Lei Zhang, Tiexiong Su, Yunpeng Feng, Fukang Ma, Yangang Zhang, Jun Wang
2019, 28(2): 226-233. doi:10.15918/j.jbit1004-0579.17170
Abstract:
The effects of various split injection strategies on the opposed-piston opposed-cylinder (OPOC)diesel engine combustion and emission characteristics have been studied numerically using AVL-Fire CFD tools. The five rate-shaped main injections were used in split injection strategies. The results show that ignition delay from a rectangular injection rate is the shortest. Maximum pressure of the trapezoid injection rate is the largest. And the NOxemission of the rectangular injection rate is the largest. Meanwhile, the soot emission of the trapezoid injection rate is the least among the five injection rates.
Birkhoffian Formulations of Bessel Equation
Wen'an Jiang, Lili Xia, Yanli Xu
2019, 28(2): 234-237. doi:10.15918/j.jbit1004-0579.17115
Abstract:
The Birkhoffian mechanics is more general than the Hamilton mechanics, but only some dynamical systems can be realized as a Birkhoffian formulation. This paper proposes a novel Birkhoffian formulation for the classical Bessel equation. Based on the first method of Santilli, the Birkhoffian formulation of Bessel equation is established under the assumption that the Birkhoffian describes the total physical energy of the corresponding conservative systems. Zero andn-th order classical Bessel equations are studied to verify the effectiveness of the proposed formulation.
Stress-Blended Eddy Simulation of the Turbulent Flow Around Circular Cylinder with Dynamic Hybrid RANS/LES Model
Chunbao Liu, Jing Li, Weiyang Bu, Dong Xu, Wen Wu
2019, 28(2): 238-247. doi:10.15918/j.jbit1004-0579.17192
Abstract:
In order to verify the effectiveness and superiority of the dynamic hybrid RANS/LES (DHRL) model, the flow around a cylinder with sinusoidal fluctuating velocity at the inlet was used as the test case. The latest computational fluid dynamics (CFD) model can flexibly choose any existing large-eddy simulation (LES) method combined with RANS method to calculate the flow field. In addition, the DLES model and DDES model are selected as typical representatives of the turbulence model to compare the capture ability of the flow field mechanism. The internal flow field including they+value, velocity distribution, turbulent kinetic energy and vortex structures is comprehensively analyzed. Finally, the results show that the new model has enough sensitivity to capture the information of the flow field and has more consistent velocity distribution with the experimental value, which shows its potential in practical engineering applications to some extent.
Influences of Rifle Weight, Weight Distribution and Layout on Aiming Comfort
Yang Yang, Yaping Wang, Cheng Xu, Liqing Cheng
2019, 28(2): 248-256. doi:10.15918/j.jbit1004-0579.17185
Abstract:
A rifle in a soldier's system is often equipped with a grenade launcher, aiming device, etc., which increases the weight of the rifle and changes its center of gravity. This study explores how the rifle weight, weight distribution and layout (e.g. stock length, position of grip and forestock) affect aiming comfort. In the paper, the upper extremity muscle activity was used to characterize the aiming comfort. A human-rifle musculoskeletal model was developed, which was validated by the surface electromyography (EMG) data. The results showed that the design parameters of rifle (weight, distance of gravity center to body and layout) had a significant influence on aiming comfort. The greater the weight was, the stronger the muscle activity was. With the distance increasing, first the muscle activity decreased, and then increased when the distance is exceeding a certain value. In addition, the combined influences of weight and distance illustrated that there was an optimal distance to make the slightest muscle movements for certain weight. For designing a rifle's layout, more muscular exertions were required to maintain the holding posture with the stock length increasing, which was suggested to be in the range of 0.18.m to 0.27.m. Results can be used to optimize the ergonomics design of rifle, improving the comfort of the rifle aiming process and the shooting accuracy.
Preliminary Study on Broadband Resonance of Shaking Table Based on the Compressibility of Gas
Xinghua Zhou, Xiao Sun, Kehong Tang, Lili Cheng, Dingxuan Zhao
2019, 28(2): 257-264. doi:10.15918/j.jbit1004-0579.17189
Abstract:
In order to improve the performance of the shaking table, a vibration-enhanced shaking table which exploited broadband resonance was constructed. The broadband resonance was realized by an adjustable stiffness mechanism which exploited gas compressibility. Different from the traditional device, a gas filled cylinder (GFC) was mounted between the shake table and the exciter, and a pressure regulator was designed to regulate the gas pressure of the GFC. The natural frequency of the designed shaking table can be adjusted based on the compressibility of gas during the test. The principle of stiffness adjustment was theoretically analyzed and a series of experiments were carried out to investigate the effects of regulating the natural frequency. The experimental results indicate that the amplitude can be twice amplified and the natural frequency can be regulated between 20.Hz and 60.Hz.
Multidimensional Visualization of Bikeshare Travel Patterns Using a Visual Data Mining Technique: Data Cubes
Xinwei Ma, Yanjie Ji, Yang Liu, Yuchuan Jin, Chenyu Yi
2019, 28(2): 265-277. doi:10.15918/j.jbit1004-0579.18046
Abstract:
In order to explore the travel characteristics and space-time distribution of different groups of bikeshare users, an online analytical processing (OLAP) tool called data cube was used for treating and displaying multi-dimensional data. We extended and modified the traditionally three-dimensional data cube into four dimensions, which are space, date, time, and user, each with a user-specified hierarchy, and took transaction numbers and travel time as two quantitative measures. The results suggest that there are two obvious transaction peaks during the morning and afternoon rush hours on weekdays, while the volume at weekends has an approximate even distribution. Bad weather condition significantly restricts the bikeshare usage. Besides, seamless smartcard users generally take a longer trip than exclusive smartcard users; and non-native users ride faster than native users. These findings not only support the applicability and efficiency of data cube in the field of visualizing massive smartcard data, but also raise equity concerns among bikeshare users with different demographic backgrounds.
Experimental Study on Dynamic Mechanical Properties of Sprayed Concrete-Surrounding Rock Combined Body
Dongming Guo, Pengyang Yan, Longfei Fan, Yingshi Zhang, Xiaoye Wang
2019, 28(2): 278-285. doi:10.15918/j.jbit1004-0579.17154
Abstract:
To investigate the dynamic response problem of the double medium formed by the adherence of sprayed concrete and surrounding rock in the tunnel, a split Hopkinson pressure bar of 75 mm in diameter was adopted at the ages of 3,7 and 10 d. Experimental results showed that dynamic compressive strength and dynamic increase factors (DIF) of the combined bodies increase with the strain rate. With the growth of strain rate, the critical strain of the combined bodies first increases, then deceases. Furthermore, the combined bodies of 3 d reveal the plastic property and brittle property for 7 d and 10 d when the strain rate is over 80/s. The failure characteristic of the sprayed concrete changes from tearing strain damage to crushing damage as the growth of strain rate, and the failure characteristic of rock presents the tensile failure mode as demonstrated by the scanning electron microscope (SEM).
Micro-Doppler Parameter Estimation Method Based on Compressed Sensing
Jiayun Chang, Xiongjun Fu, Wen Jiang, Min Xie
2019, 28(2): 286-295. doi:10.15918/j.jbit1004-0579.18021
Abstract:
A micro-Doppler parameter estimation method based on compressed sensing theory is proposed in this paper. The micro-Doppler parameter estimation algorithm was improved for micro-motion targets with translation in this paper. Relatively ideal micro-Doppler parameter estimation results were obtained. The proposed micro-Doppler parameter estimation was compared with the traditional micro-Doppler parameter estimation algorithm. Requirements for return signal length were analyzed with this new algorithm and its performance was also analyzed in various environments with different SNR.
Time-Hopping Sequence Design for Virtual Full Duplex via Rapid On-Off-Division Duplex
Qiuyuan Lu, Lin Guo
2019, 28(2): 296-304. doi:10.15918/j.jbit1004-0579.17197
Abstract:
To achieve virtual full-duplex (VFD) communication using half-duplex radios, the rapid on-off-division (RODD) technique has been proposed in recent years. The time-hopping (TH) sequence is critical to controlling self-interference introduced in the paradigm. By constructing the collision model with a symbol level time scale, the periodic collision correlation function properties are introduced as the performance metric for the TH sequence in the RODD system. To achieve the best VFD performance, an optimization-based method for TH sequence design is proposed. In addition, the conventional TH frame structure design for RODD system is improved. Numerical simulations are presented to demonstrate that the proposed approach can significantly increase system performance. Results indicate that the TH sequence design is very effective for the RODD system.
VisQAC: Visual Analytics for Online Q&A Communities
Jing Liang, Ruoyu Jia, Min Zhu, Henry B L Duh
2019, 28(2): 305-317. doi:10.15918/j.jbit1004-0579.17196
Abstract:
Online question and answer (Q&A) communities, which allow users to exchange knowledge by asking and answering questions, have become increasingly popular. As a result of user active participation, these communities store overwhelming volumes of information. However, existing related methods are unable to meet community operators' needs for analyzing multi-dimensional Q&A sequences and understanding user behavior. In this paper, collaborating with domain experts in online community,we present a system, VisQAC, which explores the patterns of Q&A sequence and user behavior. In the system,a novel visual design is proposed, which is combined with flexible mapping measures for analyzing critical characteristics of sequence data. Moreover, a timeline visualization method is designed to visualize data with categorical attributes and its correlation can be displayed flexibly by choosing time mode and time granularity. The usefulness and effectiveness of the system are demonstrated with several case studies of VisQAC with community operators based on the Zhihu dataset. Our evaluation shows that VisQAC is beneficial to the understanding of Q&A sequence and associated user behavior.
Improved Qualitative Trajectory Calculus for Pair-Activity Analysis
Shengsheng Wang, Guangyao Wang, Yungang Zhu, Jingwen Shao
2019, 28(2): 318-326. doi:10.15918/j.jbit1004-0579.17122
Abstract:
Trajectory provides the most robust feature for activity recognition in far-field surveillance videos, in which increasing attentions have been given to the use of qualitative methods with symbolic rather than real-value features. Qualitative trajectory calculus(QTC) showed a good performance in pair-activity from video. However, QTC and similar works are not good at dealing with noise, since they are all considering short-term features. To deal with the problems mentioned above, two types of long-term features, including sub-trajectory feature and point-trajectory feature, are designed. The sub-trajectory feature is a long-term feature in a coarse granularity, while the point-trajectory feature is a long-term feature in a relatively fine granularity. Using the sub-trajectory feature, a couple of trajectories are segmented into sub-trajectories and enveloping boxes are used to substitute the original sub-trajectory for capturing the major attributes. The point-trajectory feature describes the relationship between a single point in one trajectory and all parts of the other trajectory. The experiments on the human activity classification data demonstrated that our proposed methods are better than the original QTC and previous short-term features.
Communication Resource Planning Algorithm Based on Time Triggered DIMA Architecture
Hongchun Wang, Buqun Luan, Wensheng Niu
2019, 28(2): 327-335. doi:10.15918/j.jbit1004-0579.18171
Abstract:
Traditional scheduling algorithms for avionics communication have the shortcoming of messages accumulation, the efficiency and reliability of the service can be improved by combining the distributed integrated modular avionics(DIMA) system with a time trigger mechanism. To further improve the utilization of system resources, the static scheduling algorithm of time triggered service is studied. By making the time trigger message schedule dispersedly, the stabilities of both the available time slots for the event triggered messages and the system will be improved. An improved two-dimensional bin packing algorithm is also presented to achieve the above-mentioned purpose with an extra benefit of better delay performance.
Exploiting Spectral-Energy Efficiency Tradeoff with Fairness in Non-Orthogonal Multiple Access Systems
Zhengyu Song, Xin Sun
2019, 28(2): 336-343. doi:10.15918/j.jbit1004-0579.17178
Abstract:
The spectral efficiency (SE) and energy efficiency (EE) tradeoff while ensuring rate fairness among users in non-orthogonal multiple access (NOMA) systems is investigated. In order to characterize the SE-EE tradeoff with rate fairness, a multi-objective optimization (MOO) problem is first formulated, where the rate fairness is represented with theα-fair utility function. Then, the MOO problem is converted into a single-objective optimization (SOO) problem by the weighted sum method. To solve the converted non-convex SOO problem, we apply sequential convex programming, which helps to propose a general power allocation algorithm to realize the SE-EE tradeoff with rate fairness. We prove the convergence of the proposed algorithm and the convergent solution satisfies the KKT conditions. Simulation results demonstrate the proposed power allocation algorithm can achieve various levels of rate fairness, and higher fairness results in degraded performance of SE-EE tradeoff. A pivotal conclusion is reached that NOMA systems significantly outperform orthogonal multiple access systems in terms of SE-EE tradeoff with the same level of rate fairness.
Business Process Dynamic Reengineering Technology Based on Mode
Ming Ding, Shuling Zhang, Chen Zhang
2019, 28(2): 344-355. doi:10.15918/j.jbit1004-0579.18170
Abstract:
To ensure the efficiency and quality of complex business process design, a mode-based dynamic business process reengineering approach is proposed in this paper. Firstly, the composition of business process is divided into five levels. Business process modes from three levels of mission, content and resource are defined, and the transition relationships between modes are given. Secondly, the architecture model of business process is defined based on the architecture analysis and design language (AADL). The dynamic reengineering framework and implementation procedure are designed. Finally, the AADL architecture models are analyzed and verified to evaluate the business process performance, and a blueprint for reengineering is formulated. Under the guidance of the blueprint, the detailed design and development of attributes such as business processes, activities, resources and cost are completed. Case studies are presented to validate that the mode analysis and dynamic reengineering approach based on the AADL architecture is able to improve the efficiency, reliability and reusability of business process design.
Entity Burst Discriminative Model for Cumulative Citation Recommendation
Lerong Ma
2019, 28(2): 356-364. doi:10.15918/j.jbit1004-0579.18141
Abstract:
Knowledge base acceleration-cumulative citation recommendation (KBA-CCR) aims to detect citation-worthiness documents from a chronological stream corpus for a set of target entities in a knowledge base. Most previous works only consider a number of semantic features between documents and target entities in the knowledge base, and then use powerful machine learning approaches such as logistic regression to classify relevant documents and non-relevant documents. However, the burst activities of an entity have been proved to be a significant signal to predict potential citations. In this paper, an entity burst discriminative model (EBDM) is presented to substantially exploit such burst features. The EBDM presents a new temporal representation based on the burst features, which can capture both temporal and semantic correlations between entities and documents. Meanwhile, in contrast to the bag-of-words model, the EBDM can significantly decrease the number of non-zero entries of feature vectors. An extensive set of experiments were conducted on the TREC-KBA-2012 dataset. The results show that the EBDM outperforms the performance of the state-of-the-art models.
Target Tracking Algorithm Based on Meanshift and Kalman Filter
Hua Li, Jia Zhu
2019, 28(2): 365-370. doi:10.15918/j.jbit1004-0579.17180
Abstract:
Directed at the problem of occlusion in target tracking, a new improved algorithm based on the Meanshift algorithm and Kalman filter is proposed. The algorithm effectively combines the Meanshift algorithm with the Kalman filtering algorithm to determine the position of the target centroid and subsequently adjust the current search window adaptively according to the target centroid position and the previous frame search window boundary. The derived search window is more closely matched to the location of the target, which improves the accuracy and reliability of tracking. The environmental influence and other influencing factors on the algorithm are also reduced. Through comparison and analysis of the experiments, the modified algorithm demonstrates good stability and adaptability, and can effectively solve the problem of large area occlusion and similar interference.
Accurate Registration of Remote Sensing Images Based on Local Optimal Transformation
Bo Wang, Changqing Li, Shi Tang, Zhiqiang Zhou, Hong Zhao
2019, 28(2): 371-382. doi:10.15918/j.jbit1004-0579.17190
Abstract:
As the basic work of image stitching and object recognition, image registration played an important part in the image processing field. Much previous work in registration accuracy and real-time performance progressed very slowly, especially in registrating images with line feature. An innovative method for image registration based on lines is proposed, it can effectively improve the accuracy and real-time performance of image registration. The line feature can deal with some registration problems where point feature does not work. Our registration process is divided into two parts. The first part determines the rough registration transformation relation between reference image and test image. Then the similarity degree among different transformation and modified non-maximum suppression (MNMS) algorithms are obtained, which produce local optimal solution to optimize the rough registration transformation. The final optimal registration relation can be obtained from two registration parts according to the match scores. The experimental results show that the proposed method makes a more accurate registration relation and performs better in real-time situation.
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