bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluating the effect of different biochar application sizes on methane emission reduction from rice cultivation
Authors: Sriphirom P , Chidthaisong A , Yagi K , Boonapatcharoen N , Tripetchkul S , Towprayoon S 
Published: April 2020

Abstract
Application of biochar to the soil has been reported as one of the mitigation technologies of CH4 emission from rice cultivation due to its unique characteristics of high porosity and surface area. The application of small particle size of biochar is rich in surface area that may enhance the mitigation potential. Rice cultivation and soil incubation experiments were conducted to evaluate the effect of two groups of biochar particle size on CH4 emission and production in order to show the mitigation potential. This experiment consists of three treatments including no biochar (CT), small particle size (0.5-2 mm) biochar (SB), and large particle size (2-4 mm) biochar (LB). Both biochar sizes were amended at 10 t ha−1 equivalent rate and all treatments were applied chemical fertilizer at 100 kg N ha−1 equivalent rate. The results demonstrated that SB and LB reduced cumulative CH4 emission by 24.0% and 17.1% and cumulative CH4 production by 24.6% and 15.0% as compared to CT, respectively. Our results showed that SB achieved higher mitigation potential than LB by an average of 8.47%, although it was not significant. The mitigation of both biochar sizes was supported by the significant change of soil methanogens and methanotrophs abundances. The suppression of methanogens abundance and the stimulation of methanotrophs abundance indicated in the ratio of mcrA to pmoA was significantly reduced in SB (68.0%) which higher than in LB (56.3%) as compared to CT. Both application sizes also increased soil oxidation capacity through soil Eh increase which no difference between SB and LB. In term of grain yield, SB and LB were not different and both did not show the significant change as relative to CT. The application of small size biochar in this study affected more mitigation potential of CH4 emission as compared to larger size, therefore there is a need of further study on typical size of biochar in order to recommend the most mitigation potential of biochar application.
A fluid-structure interaction modelling of roof mounted renewable energy installations in low rise buildings for extreme weather and typhoon resilience
Authors: Jay Pantua Conrad Allan , Calautit John Kaiser , Wu Yupeng 
Published: April 2020

Abstract
Super typhoon Haiyan made landfall in the Philippines last 2013 where an estimated 1.1 million homes were damaged. There was massive roofing damage in the houses due to strong winds. With the increasing number of roof-mounted renewable energy installations, there is a clear need to review the current systems to respond to future climactic events. The current approach for building performance analysis under typhoon wind loads involves a lot of wind tunnel tests, full scale testing and finite element modelling which is heavily reliant on wind tunnel data which are costly and time consuming. Current renewable energy mounting technologies with its different installation methods, and mounting locations consequently affected by wind loads differently. Using the proposed framework, this study evaluated solar panels attached to the gabled roof of a single detached low-rise building. The stress and deformation of the structure and the panels was determined using the typhoon’s Atmospheric Boundary Layer flow simulation. Building energy simulation was used to determine the appropriate site orientation to maximise solar energy generation. Results show areas of high failure rate in the panels in the 0 degree wind angle direction and in the panels closer to the edge. Maximum solar energy generation was determined at the 90 degree site orientation.
Effect of fire flame exposure on basalt and carbon fiber reinforced concrete
Authors: Abd Razak Siti Nooriza , Shafiq Nasir , Azmi Yasmin Mohd , Guillaumat Laurent , Farhan Syed Ahmad , Ayesha Wan Farra , Grampeix Guillaume 
Published: April 2020

Abstract
Concrete in general is a poor conductor of heat, but it can suffer significant damage when exposed to fire. Investigation of concrete behaviour when exposed to fire has generated interest where most of the fire cases take place in buildings and tunnels. Incorporation of fiber in concrete can improve the mechanical performance as it acts as crack arresters, resisting the development of cracks, hence making the concrete composite matrix stronger. In this study, mechanical behaviour of basalt and carbon fiber reinforced concrete for different characteristic strengths at 28 days were investigated for its performance when exposed to fire flame. Fire flame test using methane gas was developed to simulate real fire phenomena. Concrete specimens were subjected to fire flame at the temperature of 1000 °C for a period of 90 minutes. Visual observation (colour change, cracking and spalling), loss of density and residual compressive strength of the concrete specimens were performed. The results obtained were compared with reference specimens. Test results showed that tested samples experienced cracking and spalling, reduction of mass and compressive strength. All samples experienced compressive strength loss except for G20 OPC which recovers 7.8 % compressive strength. Addition of carbon fiber showed an increased in strength before exposure compared to basalt fiber. Minor damages were observed for carbon fiber in concrete after fire exposure compared to basalt fiber.
Medical waste treatment and electricity generation using pyrolyzer-rankine cycle for specialty hospitals in Quezon City, Philippines
Authors: Manegdeg F , Coronado L O , Paña R 
Published: April 2020

Abstract
Acquisition, treatment, and final disposal of health-care waste is a vital public concern. Improper disposal has heightened this concern as it could lead to a widened risk of transmission of agents associated with blood-borne diseases. One of the ways to address these concerns is waste disposal and waste-to-energy plant. This facility is envisioned not only to manage hazardous wastes from hospitals with the least emissions of toxic substances and greenhouse gases but also to generate electricity. This study investigated the feasibility of developing waste disposal and waste-to-energy plant which involved: the selection of hospital type and location, waste composition, energy conversion, and power plant technology, and financial viability of the plant. The sampling design process identified the hospitals to be surveyed. The criteria include proximity of the hospitals, number of beds, and type of hospitals. A survey of waste generation across the specialty hospitals was then conducted and determined the type of waste, the quantity of the wastes produced, the percentage by weight, bulk density, and composition of the wastes. A selection was done to determine the energy conversion technology. The electric power plant technology was then selected knowing the characterization of the synthetic gas. The average waste generation was found to be 579 kg waste per day which has 29,062 kJ/kg calorific value. The study shows that electricity could be generated from this waste by utilizing a Pyrolyzer - Rankine Cycle power plant and is viable with a payback period of 5 years, and a Benefit-to-Cost ratio of 4. A business plan and enabling environment for the establishment of the Pyrolyzer – Rankine Cycle power plant is recommended to be studied.
A Shallow Prediction Model with Enhanced Features for Video Time Series
Authors: Zhang Yifei , Bie Hongxia 
Published: April 2020

AbstractFast video time series prediction is an important part in video anomaly detection in deep learning framework. Time series deep learning models have good performance in time-series data prediction, such as traffic flow, rainfall and network traffic. The models, such as ConvLSTM, ConvGRU with complex structure and large amount of computation, are difficult to fit the video time series prediction. In this paper, we analyze data characteristics of video sequences and propose a shallow video series prediction model. We not only consider the spatial correlation in continuous video frames, but also investigate the interval video frames, which also maintain spatial correlation. We explore the gray scale pixel values of the interval frames which appear specific trend properties when we connect the context pixels together. Based on the enhanced features, we design a shallow 2D convolutional video time series prediction model with good prediction performance and much less total parameters.
Application Research of “Edge-Cloud Collaboration” Architecture in Security Protection of Ubiquitous Power Internet of Things
Authors: Song Hu , Chen Yuhang , Dong Qingquan , Wang Xiaolong 
Published: April 2020

Abstract
With the planning and construction of the ubiquitous power Internet of Things(UPIOT), how to achieve secure connection and interaction between the platform and the terminal becomes a crucial issue. Based on cloud computing and edge computing, this paper constructs the “edge-cloud collaboration” architecture of UPIOT to meet the functional requirements of grid-side intelligent services and core-side data analysis and low-latency, high-bandwidth, and large-access performance. According to the actual deployment situation of Jiangsu electric power, the firewall and VPN application scenario security protection scheme is proposed to provide a theoretical basis for the UPIOT security protection.
A Novel Multiuser Detector for LDPC-Coded DS-UWB Space Formation Flying
Authors: Ma Bo , Liu Qingzhi , Wu Zhilu , Jiang Xu 
Published: April 2020

Abstract
Space formation flying has attracted a lot of attention recently. In this paper, we using direct-sequence ultra-wideband (DS-UWB) as the physical layer of inter-spacecraft communications. The traditional multiuser detection method like soft-input soft-output (SISO) cost too much computation. The proposed multiuser detector no longer uses interleaving, and the computational complexity has a linear relationship with the number of users. The bit error ratio (BER) simulation result shows that the proposed method approaches the single-user system with increasing signal-to-noise ratios (SNRs).
Research and Design of LED Light Suppression Flicker Technology in Visible Light Communication Technology
Authors: Si Yuncheng , Pan Yu , Li Tao , Dong Guangzhi 
Published: April 2020

Abstract
“Lighting communication integration” is a key technology research for the future application of visible light communication(VLC). However, the bandwidth characteristics, dynamic modulation range and linear modulation performance of existing white LED still do not meet the requirements of high-speed communication. After adding the dimming function, the naked eye It is noticeable that flicker is felt. In order to solve the problem of LED flicker caused by high-speed communication, this paper proposes a “lighting and communication integration” technology scheme based on visible light communication(VLC), which studies from the aspects of suppressing flickering VLC scheme, LED communication dimming, and high-efficiency modulation driving circuit design. A PWM dimming control technology based on optical OFDM system is used for VLC and LED dimming scheme. Finally, the technology is applied to the typical application scenario of the power grid—cable tunnel, which realizes the two-way real-time voice communication of cable tunnel inspection personnel. And accurate positioning to ensure the personal safety of the inspectors and the safety of the grid production.
Software Practice of Orderly Charging Information Communication System
Authors: Wang Weiguo , Li Tao , Pan Yu 
Published: April 2020

Abstract
At present, SGCC actively implements the national New Energy Strategic Policy, vigorously promotes the construction of electric vehicle charging piles, and actively guides electric vehicles to participate in orderly charging through multiple ways. Combined with the construction objectives and requirements of SGCC for orderly charging business, based on the functions of the original charging pile operation management system, our company(Beijing Smart-chip Microelectronics Technology Ltd.) has realized the orderly charging system of charging pile through structural transformation and function upgrading. The system is realized by distributed and microservice architecture mode, which can support large-scale charging piles fast access. This paper describes the orderly charging system of charging pile and the practice of distributed and microservice architecture in the system.
Design, Simulation and Failure Influence of Tape Spring Hinges in a Large Deployable Antenna
Authors: Wang Pengpeng , Zheng Shikun , Wang Feng 
Published: April 2020

Abstract
The design, simulation and failure influence of tape spring hinges in a large deployable antenna is studied. By sensitivity analysis between modal frequencies of the large deployable antenna and stiffness coefficients of the tape spring hinge, it is found that compression stiffness along longitudinal axis and bending stiffness about transverse axis are the key points of tape spring design. Stiffness coefficients, buckling loads and bending moments of the tape spring hinge are obtained by mechanical simulation. By in orbit disturbance analysis, disturbance loads applied on the tape spring hinge result from satellite attitude control and scanning mechanism operation are presented. Finally, failure influences of the tape spring hinges on both antenna modal frequencies and pointing accuracy are studied.
A New Dynamic Parameters V-RC Model of Battery Parameter Identification
Authors: Zhang Liguo , Gao Jing , Liu Le , Miao Guangxuan , Qi Jintao , Xu Haichao , Luan Jiacui 
Published: April 2020

Abstract
Different state of charge (SOC), batteries have different model parameters. This paper proposes a dynamic parameter identification method for battery models under different SOC. Firstly, dynamic parameter V-RC model of battery was designed according to the hysteresis loops characteristics and the polarization characteristics of the battery voltage during the charge-discharge process. Next, the test program was designed which can complete the lithium battery charge and discharge data acquisition, including identification of battery model parameters for AC signal injection. The relationship between OCV and SOC are obtained by using the least squares curve fitting method, which realizes the function fitting of the model’s parameters. Then, battery transient response experiment indicating that have different parameters under different SOC. Finally, test results can show that open-circuit voltage (OCV) error of the new model is lower than constant parameter model OCV error. The error of the fixed parameter model OCV is 2.6%, while the OCV error of the dynamic parameter model is 1.6%. Dynamic parameter VRC model can more accurately reflect the actual state of the battery.
The Application of FTA and FCE on Navigation Safety Assessment
Authors: Yan Langtao , Tan Jiawan , Ai Jian , Zhang Shuang 
Published: April 2020

Abstract
In order to analysis the impact of ship state on the navigational safety, the fuzzy comprehensive evaluation method based on fault tree of ship safety state is to be present in this paper. The fault tree of ship navigation state to be established using the software named Easydraw, after analyzing systematically influence factors of ship safety navigation, and the structure important degree of the basic event is calculated based on the fault tree, which made the main factors influencing the ship navigation safety clear.. With the analyzing results of the navigation state fault tree, several important factors such as speed, channel and visibility, to be regard as the main correlation factor evaluating ship safety state, and the mathematical model of fuzzy comprehensive evaluation on ship safety state to be established. The experiment is conducted in the YouShui river, the relevant parameters is obtained, using the GPS navigation system on board, and the navigation state is to be analyzed and evaluated by the mathematical model. The evaluation results shows that the evaluation model applied to the ship safety state is reliable and effective.
Research on the Influence of Torque, Speed and Allowable Loss Deviation on the Optimized Current in the Efficiency Optimization Control of IPMSM
Authors: Pang Likun , Wu Qinmu , Ma Senquan , Li Jiahao 
Published: April 2020

Abstract
In the efficiency optimization control of IPMSM, the working state of the search should be determined by using the search method to obtain the initial optimized current set. For any system, it is expected that the working state of the search should be as little as possible. Meanwhile, according to the initial optimized current set, the interpolation method can be used accurately to realize the efficiency optimization of the whole state. Based on the total loss model of IPMSM, various constraints of running and optimization theory, the equation satisfying the optimization current was obtained, and the influence of motor speed and torque on the optimization current was theoretically analyzed. Through the simulation test of electric drive system of electric vehicle, the optimization current of motor in various states is searched. The simulation results verify the correctness of the theoretical analysis results. Then the number of states to be searched under different allowable loss deviations is analyzed to obtain the initial optimized current set.
Research on Server Health State Prediction Model Based on Support Vector Machine
Authors: Jin Dan , Li Ce , Wang Qiong , Chen Yuhang 
Published: April 2020

Abstract
With the development of artificial intelligence, machine learning methods have been widely applied to predictive modelling in various fields. Support vector machine is a linear classifier with the largest interval defined on the feature space. In order to improve the current status of server operation and maintenance, and improve the accuracy and efficiency of server health prediction, this paper studies the feature quantity selection based on grey relational analysis, studies the support vector machine applied to data generalization and classification, and establishes a health prediction model. The simulation training of historical data shows that the method has fast learning, high prediction speed, high efficiency, high accuracy and wide application prospects.
An Intrusion Prevention Scheme for Malicious Network Traffic Based on SDN
Authors: Xu Xiaofeng , Dai Jiahao , Zhi Yifang 
Published: April 2020

Abstract
In recent years, SDN technology has developed rapidly, and the security of SDN is the key to its further development and application. Intrusion prevention system possesses both the features of intrusion detection and protection, which is one of the important methods to ensure the security of SDN network. In this paper, we proposed a SDN-based intrusion prevention scheme for SDN security. The scheme utilizes the programmability of SDN to create four modules on the application plane of the controller, including the network monitoring module, IP address detection module, destructive packets detection and Snort linkage module. The scheme also provides users with Web UI and manual/automatic operation mode. Finally, we deployed the scheme on the Mininet platform with the Floodlight controller.
Design and Development of Campus Environment Display System Based on Augmented Reality Technology
Authors: Wang Shijie , Liu Huaqun , Shu Hou , Zhang Xinzhe , Zhang Yu 
Published: April 2020

Abstract
With the rapid development of augmented reality technology and the continuous improvement of people’s needs in various aspects, people are more looking forward to interactive, real-time augmented reality systems. In the field of physical display, Augmented Reality Technology provides a more convenient channel for people to experience various objects at zero distance, and reforms a new form of physical display. Including campus display, AR augmented reality technology creates a new display experience for users. This project uses Beijing Institute of Graphic Communication as the research model. In the early stage, the scene was modeled using Cinema 4D software. In the later stage, the scene was interactively designed using Unity 3D. The Vuforia engine was used to detect and track feature points and match them. After superimposing on the scene, we explored the optimization strategy of AR augmented reality technology in campus display applications.
A Scheme of Anomalous Detection Based on Reinforcement Learning for Load Balancing
Authors: Kim Hye-Young 
Published: April 2020

AbstractIn recent, both researchers and developers have great interests in anomalous detection. However, it is still difficult to implement a uniform framework for anomalous detection. Also, the network anomalous detection using deep learning methods has been discussed with potential limitations and interests. An anomalous detection in wireless or wired network is extremely important because it is caused by flood traffic of network and intrusion. Patterns of malicious network loads are defined, while anomalous detections is more suitable for detecting normal and anomalous network loads by means of deep learning. The important goal of these issues is to recognize the anomalous detections for better preparation against future load balancing of networks. In this paper, we propose an agent Detectbot that processes anomalous detection for load balancing based on reinforcement learning. Our simulation results show that the reinforcement learning scheme is effective for anomalous detection in load balancing.
Accelerating k-Means on GPU with CUDA Programming
Authors: Yang Can , Li Yin , Cheng Fenhua 
Published: April 2020

Abstract
We accelerate basic k-Means algorithm using CUDA GPU, a new programming model by NVIDIA, and experiment data shows we achieve a maximum speedup of 67.752, while other teams claim 20 to 40. Also we find that the basic k-Means algorithm is most sensitive to the cluster size k, and less to the datasets size b and least to the dimension d. In addition, we find the CUDA shared memory improves the performance, but also depends on which factor we scale.
Analysis and Implementation of Improved Software Phase-Locked Loop for Single-phase Grid-connected Inverter
Authors: Zhou Defang , Fang Yu , Cao Songyin , Yao Yong 
Published: April 2020

Abstract
For single-phase grid connected inverter, based on the traditional closed-loop structure of three-phase phase-locked loop (PLL), an improved software PLL was proposed. The basic principle of the phase-locked loop was analyzed and its mathematical model was deduced. In addition, the software implementation method of the phase-locked loop was presented. Then, the influence resulted from the change of amplitude, frequency and phase on the grid voltage was simulated with PSIM software. The results show that the software phase-locked loop can realize the phase tracking at any time in the cycle effectively and quickly, without waiting for the zero crossing of the grid. Finally, the software phase-locked loop proposed in this paper was implemented respectively by using TI’s DSP TMS320F28035 and TMS320F2808 and applied to the 500W dual-channel single-phase grid-connected micro-inverter and 5kW single-phase grid-connected inverter. The simulation and experiment results verify the proposed software phase-locked loop.