bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tendon constrained inflatable architecture: rigid axial load bearing design case
Authors: Kim Ellen , Luntz Jonathan , Brei Diann , Kim Wonhee , Alexander Paul , Johnson Nancy 
Published: February 2021

Abstract
Inflatables can provide advanced functionality such as structural support, controlled compliance, posability, self-actuation, etc when they are architecturally constrained. Unfortunately, some of the key benefits of inflatables, including their low architectural complexity and high deploy-and-stow capability, are typically adversely affected as functionalities become more sophisticated. A new architectural approach, a tendon constrained inflatable (TCI), is introduced to decouple functionality from deploy-and-stow capability. A TCI is a structure composed of a soft inflatable bladder with rigid end caps connected by inextensible internal constraint tendons. When a TCI is inflated, the tendons under pure tension impose constraints on the inflatable by pre-tensioning the TCI to be able to resist external loads, but when not pressurized, the soft bladder and flexible tendons collapse and provide a compact stow. This paper develops the fundamental case of TCI functionality, rigid axial load bearing, by providing predictive models, validation experiments, design space plots, and a design case study. A model predicting the rigid load-bearing capacity as a function of pressure for varying TCI architectural design parameters is derived through (a) an unconstrained inflation model, based on an axisymmetric nonlinear membrane deformation model and a hyperelastic material model, and (b) a constraint model that bounds specific inflation directions depending on the applied constraint. This axial rigid load-bearing TCI performance model is validated through experiments measuring TCI deformation due to pressure and external load. This model serves as the basis to develop versatile design space plots that provide various views of the design parameter dependencies. These plots are demonstrated in the context of a deployable modular support design case study. The insights gained enable the design of TCIs with rigid load-bearing functionality in a deployable and stowable package as well as setting the foundation to develop more sophisticated architecture with decoupled functionality and deploy-and-stow capability.
Mean exit time for diffusion on irregular domains
Authors: Simpson Matthew J , VandenHeuvel Daniel J , Wilson Joshua M , McCue Scott W , Carr Elliot J 
Published: February 2021

Abstract
Many problems in physics, biology, and economics depend upon the duration of time required for a diffusing particle to cross a boundary. As such, calculations of the distribution of first passage time, and in particular the mean first passage time, is an active area of research relevant to many disciplines. Exact results for the mean first passage time for diffusion on simple geometries, such as lines, discs and spheres, are well-known. In contrast, computational methods are often used to study the first passage time for diffusion on more realistic geometries where closed-form solutions of the governing elliptic boundary value problem are not available. Here, we develop a perturbation solution to calculate the mean first passage time on irregular domains formed by perturbing the boundary of a disc or an ellipse. Classical perturbation expansion solutions are then constructed using the exact solutions available on a disc and an ellipse. We apply the perturbation solutions to compute the mean first exit time on two naturally-occurring irregular domains: a map of Tasmania, an island state of Australia, and a map of Taiwan. Comparing the perturbation solutions with numerical solutions of the elliptic boundary value problem on these irregular domains confirms that we obtain a very accurate solution with a few terms in the series only. MATLAB software to implement all calculations is available at https://github.com/ProfMJSimpson/Exit_time.
Application of feedforward predictive control in DC furnace coordination system
Authors: DENG Zhiguang , Zhengxi HE , Biwei ZHU , Jialiang ZHU , Xin LV , Qian WU 
Published: February 2021

Abstract
In order to solve the control difficulties such as large dynamic delay, serious coupling between machine and furnace and strong nonlinear, the feedforward and feedback predictive control is proposed to control the coordinated system on the basis of multi-model predictive control, and the static feedforward part designs the feed line feedforward of coal quantity against coal quality disturbance on the basis of the accurate balance of energy. Thus, the reference total fuel quantity under the target load instruction is determined, and the dynamic part fully considers the dynamic compensation of the unit energy storage, gives a certain overshoot fuel quantity to the boiler regulation, speeds up its response, and ensures the rapidity of the unit. The real-time simulation results of virtual DPU (Distributed Processing Unit) show that the designed feedforward-feedback predictive control can quickly respond to load change, improve the resistance to fuel disturbance, reduce the fluctuation of main steam pressure, and better ensure the safe, economic and stable operation of the coordination system.
Design of formaldehyde concentration detection system for smart home based on STM32 controller
Authors: Liu Meili , Zhang Caizhong 
Published: February 2021

Abstract
It is a well-known thing that formaldehyde can seriously endanger human health. During decoration, some decoration materials, including furniture, will contain a large amount of formaldehyde, and some wall paint will also emit a lot of formaldehyde. Therefore, how to judge that the harmful gas in a house exceeds the standard has become a headache. In response to this problem, this article has designed an intelligent formaldehyde detection system, which can accurately detect the concentration of harmful gases in the room and then alarm. The operation is simple.The system consists of STM32F103C8T6 microcontroller circuit, LCD1602 liquid crystal display circuit, and formaldehyde detection sensor circuit. The voltage value and formaldehyde concentration value before formaldehyde conversion can be displayed in real time as the formaldehyde concentration changes. If the concentration of formaldehyde in the air is higher than the body’s tolerance range, the buzzer will sound a “beep” alarm, otherwise it will not sound.
A FPGA-based end-to-end acceleration framework for fast deployment of Convolutional Neural Networks
Authors: Zhang Lin , Li Bing , Liu Binfeng 
Published: February 2021

Abstract
Nowadays, CNNs has delivered the state-of-the-art performance in the field of computer vision, image classification, etc. As CNNs going deeper, it becomes more difficult to implement CNNs applications based on general-purpose computing platforms. Recently, many FPGA-based CNNs accelerators have been proposed, these accelerators achieved high performance on specific CNNs models, however they are somewhat lack of reconfigurability to fit different applications. To deal with this problem, an end-to-end acceleration framework was proposed in this paper, which consists of a parameterized hardware accelerator and a fully automatic software framework. Parallel computation and pipeline optimization are deployed in the hardware design to achieve high performance. Simultaneously, runtime reconfigurability is implemented by using a global register list. By encapsulating the underlying driver, a three-layer software framework is provided for users to deploy their pre-trained models. A typical CNNs model used for handwritten digital recognition was selected to test and verify the accelerator. The experimental result shows that the accelerator can reach a recognition speed of 22.65FPS under the clock frequency of 100MHz, comparing with ARM Cortex-A9 working at 650MHz, it can achieve 25.9 times of acceleration effect, with only 1.59W power consumption.
System identification and adaptive control of micro helicopter
Authors: Xu Weixiong , Zhang Fubiao , Lin Defu 
Published: February 2021

Abstract
This paper copes with the controller design problem of a micro helicopter, which is a multivariable and strongly coupled nonlinear system. The state-space model near the hovering condition of pitch and roll channels is acquired by least-square system identification method, with flight test verification. Based on the identified model, model reference adaptive control is designed as angular rate controller, and PID controller is used to stabilize attitude loop. State-space model helps to decouple the roll and pitch channels, and model reference adaptive control can address external disturbances, model uncertainties and nonlinearities of the dynamics, which can be estimated and further eliminated online. Eventually, both simulations and actual flight tests are conducted to verify the effectiveness of the proposed control scheme.
Evaluation of an error correction function using correlation characteristics of spread codes in CDMA-based transmission methods
Authors: Mochizuki Hiroshi , Nakamura Hideo 
Published: February 2021

Abstract
In previous researches, we have proposed novel modulation methods such as the CDMA-QAM method in which Code-Division Multiple Access (CDMA) and Quadrature Amplitude Modulation (QAM) are combined, and applied these methods for improvement of railway signalling systems. Although a rail is used as a transmission medium, there are severe conditions for transmission, such as strong attenuation at frequencies above about 10 kHz. To overcome this restriction, we attempted to improve the S/N characteristics in our proposed method. Specifically, we focused on correlation characteristics of spread codes which are used in CDMA. In this paper, we show that an error correction function that does not require additional bits for such correction can be realized by using the correlation characteristics. We evaluated the effectiveness of this correction method and conducted computer simulations in which the method was employed for CDMA-based transmission.
Biocompatibility of nanomaterials and their immunological properties
Authors: Kyriakides Themis R , Raj Arindam , Tseng Tiffany H , Xiao Hugh , Nguyen Ryan , Mohammed Farrah S , Halder Saiti , Xu Mengqing , Wu Michelle J , Bao Shuozhen , Sheu Wendy C 
Published: February 2021

AbstractNanomaterials (NMs) have revolutionized multiple aspects of medicine by enabling novel sensing, diagnostic, and therapeutic approaches. Advancements in processing and fabrication have also allowed significant expansion in the applications of the major classes of NMs based on polymer, metal/metal oxide, carbon, liposome, or multi-scale macro-nano bulk materials. Concomitantly, concerns regarding the nanotoxicity and overall biocompatibility of NMs have been raised. These involve putative negative effects on both patients and those subjected to occupational exposure during manufacturing. In this review, we describe the current state of testing of NMs including those that are in clinical use, in clinical trials, or under development. We also discuss the cellular and molecular interactions that dictate their toxicity and biocompatibility. Specifically, we focus on the reciprocal interactions between NMs and host proteins, lipids, and sugars and how these induce responses in immune and other cell types leading to topical and/or systemic effects.
Spectral curves of hyperbolic monopoles from ADHM
Authors: Sutcliffe Paul 
Published: February 2021

Abstract
Magnetic monopoles in hyperbolic space are in correspondence with certain algebraic curves in mini-twistor space, known as spectral curves, which are in turn in correspondence with rational maps between Riemann spheres. Hyperbolic monopoles correspond to circle-invariant Yang–Mills instantons, with an identification of the monopole and instanton numbers, providing the curvature of hyperbolic space is tuned to a value specified by the asymptotic magnitude of the Higgs field. In previous work, constraints on ADHM instanton data have been identified that provide a non-canonical realization of the circle symmetry that preserves the standard action of rotations in the ball model of hyperbolic space. Here formulae are presented for the spectral curve and the rational map of a hyperbolic monopole in terms of its constrained ADHM matrix. This extends earlier results that apply only to the subclass of instantons of JNR type. The formulae are applied to obtain new explicit examples of spectral curves that are beyond the JNR class.
Research on short-time Prediction of driving behaviour at unsignalized intersections based on machine learning
Authors: Zhang Yunfan , Yan Xuedong 
Published: February 2021

Abstract
The unsignalized intersections are the important nodes in the road network, and also the sections with a high incidence of serious collision accidents. Based on the driving simulation experiment, the interactive driving behaviours of multiple drivers were collected. The data were input to the machine learning model, training for predicting the short-time driver’s decision-making. The results showed that the Random Forest model has a better prediction effect than the Support Vector Machine (SVM) model, and the shorter prediction interval also has a better prediction effect. This study was helpful to give timely warning to drivers in danger and provided a new idea for the research of collision prevention warning strategies and control methods.
Study on emergency response model during construction of Sichuan-Tibet Railway
Authors: Cui Yunxiao , Zhi Danyue , Lv Ying 
Published: February 2021

Abstract
During the construction of The Sichuan-Tibet railway, there is a risk of sudden natural disasters. Rapid and effective rescue to the affected areas can reduce casualties and property losses. Based on the interval planning theory, this paper studies the emergency rescue plan in the construction of Sichuan-Tibet railway considering the coordinated rescue of various transportation modes. We constructs a two-stage model of distributing relief materials to the disaster areas and bringing the injured back to the facilities. In the first stage, the facility storage centre point responsible for rescue is decided, and the facility storage centre point opening scheme that conforms to the constraints of the actual time window is obtained. The second stage logistics vehicle distribution problem, to the disaster areas to deliver relief supplies and bring back the injured, the optimized distribution route plan. Finally, an example analysis is carried out to verify the feasibility of the model by solving GAMS.
Research on Guiding Technology for Ecological and Sate Driving of Vehicles
Authors: Wang Kun , Tian Na 
Published: February 2021

Abstract
Based on the vehicle-road coordination technology, the decision-making model of vehicle entering signalized intersection and the optimization model of eco-driving speed guidance are studied. Using vehicle speed guidance technology to provide drivers with guidance information can effectively reduce vehicle fuel consumption and enhance vehicle safety. This paper establishes an engine fuel consumption model based on power demand and an optimization model of vehicle speed guidance based on exponential function. Then conduct simulation tests on the energy-prioritized vehicle speed guidance optimization model designed in this paper and obtain the speed optimization curve under different traffic conditions. The test results show that after the vehicle is guided by the vehicle speed guiding model, its driving speed and acceleration are relatively smooth, which can effectively reduce the fuel consumption. When the initial speed is the same, the vehicle passes through the intersection just when the signal lamp changes. At this time, the fuel consumption of the vehicle is lower than the other guidance modes that meet the model and when the vehicle is properly accelerated, the fuel consumption rate has little effect. But at the time of deceleration, the fuel consumption rate suddenly changes and the fuel consumption increases rapidly.
Container slot allocation and dynamic pricing considering overbooking and market segmentation
Authors: Yu Mingzhu , Liao Jiajing 
Published: February 2021

Abstract
In this paper, we study the problem of slot allocation and dynamic pricing for container liner with uncertain demand. We consider the carrier’s overbooking strategy and market segmentation. A two-stage mathematical model is proposed for container liner slot allocation and dynamic pricing. After linearizing the model, CPLEX can be used to solve it. The results of numerical experiments show that the model considering both overbooking and market segmentation can significantly improve the revenue of container liner companies.
Study on Seismic Resistance and Isolation Method of Concrete Frame Structure
Authors: Wu Minhao 
Published: February 2021

Abstract
.Earthquake, as a natural phenomenon that can bring enormous energy, usually causes buildings collapses and has brought great losses to human beings in recent years, so seismic design is closely related to social stability and economic development. As a basic kind of building structure, frame has been prevalent in our daily life, so the seismic resistant design of frame structure becomes essential. This paper firstly introduces a preliminary understanding of this phenomenon of earthquake, analyzes the forms of damage of frame structures caused by earthquake, and then analyzes the updates of Chinese seismic design codes and the specific measures corresponding to earthquake hazards (shock absorber/damper, seismic isolation), finally makes a prospect for the development of seismic design in the future.
Optimization of earth gravity field model and its application in elevation fitting
Authors: Haicheng Zhu , Xidong Ma , Zhen Wang , Zhixiong Guo , Zhanying Luo 
Published: February 2021

Abstract
Based on the non-statistical theory, this paper proposes a new technique for the optimization of the earth gravity field model based on the maximum membership degree and the principle of information entropy, combined with the “removal and recovery” algorithm. On the basis of theoretical analysis, eight earth gravity field models were selected and 33 elevation points in the same region were selected. Combined with the new technology adopted in this paper, model optimization and precision analysis were carried out, and it was found that the model based on the optimal model was more suitable for elevation fitting. Further data analysis shows that the remove-recovery algorithm based on the optimal model can improve the feasibility of GPS elevation measurement in high-precision measurement.
Dynamic Evaluation Technology of Bridge Based on Multi-source Heterogeneous Data Fusion
Authors: Pang Rong , Yang Yan , Zhang Peng , Yuan Yuan , Yu Zhibin , Tang Guangwu , Sun Caizhi , Huang Aiguo , Han Kunlin , Jiang Yongquan , Liu Dayang 
Published: February 2021

Abstract
Based on the multi-source and heterogeneous characteristics of massive state sensing data of bridges, this paper establishes a multi-source heterogeneous bridge state sensing data feature extraction and analysis method. A dynamic evaluation model of bridge technology based on multi-source heterogeneous data fusion is proposed. For the first time, the relationship between multi-source perceptual data and bridge infrastructure technology is established, the knowledge graph of bridge infrastructure technology is constructed, and the relationship between various state-aware data and bridge technology is explicitly expressed by the map. This collaborative association is used to dynamically evaluate and predict bridge technology.
A time-varying distributed unit hydrograph and its application in flood simulation of small mountainous watersheds
Authors: Wang Yali , Mei Guodong , Wang Sha 
Published: February 2021

Abstract
Flood forecasting is an important non-engineering measure to reduce flood damage. Small mountainous watersheds are characterized by rapid flow concentration and steeply rising and falling floods. Their flow concentration process exhibits strong time dependence, which is not well-captured by conventional unit hydrographs. In this paper, four mountainous watersheds were studied, and an algorithm for generating a time-varying distributed unit hydrograph (TVDUH) was proposed. The algorithm was integrated with the China Flash Flood Hydrological Model (CNFF-HM) to simulate small watersheds in the study area. The results showed relatively large Nash-Sutcliffe efficiency (NSE) of about 0.8 for the watersheds during the calibration and validation periods. Then the TVDUH was compared with the time-invariant one. The results showed that the TVDUH could better reflected the flow concentration characteristics of small mountainous watersheds, as the method took into account the effect of rainfall intensity on flow concentration during the computation process. And the TVDUH has great application potential in flood forecasting in mountainous watersheds to reduce the loss of flood disasters.
Analysis on Security Risks in Tunnel Construction Based on the Fault Tree Analysis
Authors: Yang Ruijuan , Deng Yousheng 
Published: February 2021

Abstract
Since tunnel engineering, as a kind of underground construction, has huge security risks, it is very important to evaluate the safety risk of tunnel construction stage. It cannot only provide basis for risk control but ensure construction safety. Taking Qingpingchuan tunnel as an example, the WBS-RBS method is employed to identify the construction risk of the tunnel and the identified risk sources are used to analyzed qualitatively and quantitatively with fault tree theory. Finally, we can conclude that the critical factor affecting the collapse of Qingpingchuan tunnel is the instability of surrounding rock, and that the secondary critical factor lies in the inconsistence of the soil quality with the survey documents, low effect of waterproof and drainage facilities, weak strength of pre reinforcement, excessive steps of excavation cycle, unqualified support construction, inaccurate advanced geological prediction, etc.
Accident Causing Theory in Construction Safety Management
Authors: Chen Yijiao , Wang Zeming 
Published: February 2021

Abstract
The accident rate of construction industry has been very high, so the construction safety management is particularly important. Accident causation theory is a common theory, which can improve the safety management of construction. Based on this, this paper studies the application of accident causing theory in construction safety management. This paper compares the common accident causing theories, selects the relatively more advantageous “4M“ theory, applies it to the construction safety management, establishes the safety evaluation system, selects two unfinished projects in the construction site for analysis, and selects the safety fuzzy comprehensive evaluation model in the evaluation method. This study found that after applying the accident cause theory, the human factor index score of item 1 is 91, the material factor index score is 86, the management factor index score is 89, and the environmental factor index score is 91. The human factor index score of item 2 is 90, the material factor index score is 85, the management factor index score is 86, and the environmental factor index score is 88. The security of both projects has changed from general to safe. In this way, we know that the application of accident cause theory can effectively improve the safety of construction.