bluuebunny/crossref_metadata_2025 huggingface dataset:
Individual Variance Component of Fresh Semen Quality in Bali Cattle (Bos javanicus) Bull
Authors: Prastowo S , Widyas N , Ratriyanto A , Kusuma M S T , Dharmawan P , Setiawan I A , Bachtiar A
Published: November 2019

Semen quality is an important factor influencing the success of a cattle breeding program, therefore an effort to continuously evaluate semen quality is needed. Indonesia has Bali cattle; it is indigenous, tropically adapted, robust, and has high fertility. Bali cattle need to be developed into meat producer by selecting best traits from bulls and disseminate their sperm through artificial insemination program. To obtain the desired improvement, semen quality became one of the keys to ensure. This study aimed to determine the factor (s) affecting fresh semen quality of Bali cattle bull. In total, 742 ejaculates were collected from nine bulls in 2016-2017 over a 12-month period. Semen was collected twice a week, followed with semen quality evaluation as semen volume (ml), sperm concentration (x106/ml), sperm motility (%), and pH. A linear model was built to obtain the significant fixed factor of season and/or age affecting sperm quality followed by mixed model procedure including individual bulls as random effect to estimate the variance components. The result showed that season didn’t give any effect (p>0.05) in all fresh semen quality observed, while there was a significant effect of age (p<0.05) on volume, sperm concentration and pH. There is no interaction (p>0.05) between season and age in this study. The variance component of individual bulls contributed 71.15, 67.92, 48.22, and 11.76% of the total variance of semen volume, sperm concentration, sperm motility, and pH respectively. This study shows that there is a wide variation of semen quality resulted due to the variation between individual of the Bali cattle bull, which mirroring the diverse of Bali cattle genetic. In bull’s selection as semen source, careful selection and the application of genetic standard need to be concerned.
Adaptability and Productivity of Local Holstein – Frisien Cows in Banyumas Disrict
Authors: Subagyo Y , Wahid M A N , Astuti T Y , Setianto N A
Published: November 2019

The purpose of this study was to measure the adaptability and productivity of local dairy cows in Banyumas district. About 29 lactation dairy cows from two groups of dairy farmers in the Baturraden and Sumbang sub-districts of Banyumas district were used in this study. To find out the adaptability is done by measuring the rectal temperature and the frequency of respiration at 06.00 am, 10.00 am and 14.00 am. Milk productivity was measured by measuring milk every day. Measurement of all parameters was carried out for one month. The results showed that there were no significant differences (P> 0.5) between the two sub-districts for all variables, namely: rectal temperature, respiratory frequency, HTC Benezra and Rhoad, and daily milk production. It can be concluded that the adaptability of local Holstein – Frisiendairy cows in Banyumas district is good, while milk production is moderate.
Estimation of Greenhouse Gas (GHG) Emission from Livestock Sector by Using ALU Tool: West Java Case Study
Authors: Zuratih  , Widiawati Y
Published: November 2019

Livestock sector contributes to the increase of global warming through gas released from enteric fermentation and manure management. National estimation still uses a manual calculation. The aim of this study was to estimate the contribution of greenhouse gas (GHG) emission from livestock sector by using ALU tool version 6.0.1, in West Java Province in year 2016 as the case study. The emission were calculated by using Tier-1 and Tier-2 methodologies. Data used were livestock population and emission factors (EF) of CH4 and N2O of any livestock. The results showed that emission from enteric fermentation was 94.754 Gg CH4/year or 2,368.850 Gg CO2e/year with the highest emission from sheep (50.194 Gg CH4/year or 1,254.850 Gg CO2/year). While emission of CH4 from manure was 6,767 Gg CH4/year or 169,175 Gg CO2e/year with the highest emission from dairy cattle (2,870 Gg CH4/year or 71,750 Gg CO2e/year) and direct N2O emission from manure was 0.366 Gg N2O/year or 109.138 Gg CO2e/year with the highest emission from sheep (0.189 Gg N2O/year or 56.212 Gg CO2e/year). As a conclusion, total emission from the livestock sector in West Java Province was 2,647.163 Gg CO2e/year with the largest emission was from enteric fermentation (2,368.850 Gg CO2e/year). This study suggests that ALU tool is applicable to estimate GHG emission for Livestock in Indonesia with limited data available.
Artificial Neural Network Model to Predict Crude Protein and Crude Fiber from Physical Properties of Feedstuffs
Authors: Sholikin MM , Alifian MD , Purba FM , Jayanegara A , Nahrowi
Published: November 2019

The aim of this research was to build artificial neural networks model to predict crude protein and crude fiber content from physical properties of feedstuffs. The 91 data were obtained from https://repository.ipb.ac.id using keywords, e.g., sifat fisik and pakan. To reduce the dimensional of the data had been transformed. The independent variables consist of specific gravity (SG), bulk density (BD), compacted bulk density (CBD) and angle of repose (AoR). The dependent variable was crude protein (CP) and crude fiber (CF). Artificial neural networks (ANN) model built by R programing language 3.6.0 using library R-base and neuralnet. The correlation and accuracy used to compare predicted and actual. ANN model of crude fiber has an accuracy of 75.08% and Pearson’s signification correlation (0.7529; P <0.01). ANN model of crude fiber has an accuracy of 75.08% and Pearson’s signification correlation (0.7529; P <0.01). The artificial neural networks model generally can perform better to predict crude protein and crude fiber from physical properties of feedstuffs.
Nutritional Manipulations and Its Effects on Yield and Quality of Beef
Authors: Jelan Z A , Sumarmono J
Published: November 2019

In recent years, innovations in animal nutrition have yielded several products in the forms of feed additives/supplements for improving feed utilization and also producing novel meat products and quality to meet the demand of consumers. Consumption of meat from ruminant animals and its derivatives is also on the increase. In addition, nowadays, consumers are exceedingly interested in the quality of the products they eat, especially when this refers to meat, either white or red. A large amount progress is completed in the exploitation of the nutrition of pigs and poultry than in the ruminant animals. Beef quality can be manipulated by a variety of nutritional manipulations and many have been implemented successfully in finishing operations world-wide. This paper provides a brief overview of beef quality and the manipulation of beef quality through feeding.
Optimization of Metagenome Sequence Identification with Naive Bayes and Certainty Factor
Authors: Utami Dian Kartika , Herfina  , Mulyana Iyan
Published: November 2019

Metagenome studies are an important step in taxonomic grouping. Taxonomic grouping can be done using the binning method. Binning is a process to determine the contigs of each group of phylogenetic species. In this study, Binning was carried out using the Supervise Learning approach. We use the Naïve Bayes Classifier method and Certainty Factor. The classification process is carried out on phylum taxon levels. many of the organisms used were 50 organisms and the length of the fragments used was 500 bp and many readings were 1000 readings. The accuracy results obtained by the Naive Bayes method are 62.5%. While the accuracy obtained in the Certainty Factor method is 54.45%. From the results of the two methods of testing, it can be concluded that Naive Bayes is the best method of classification compared to Certainty Factor.
Environmental Investigation and Category Analysis of Solid Wastes in Heavy Metal Pollution Industrial Sites- Taking an industrial contaminated site in a city of Jiangxi Province as an example
Authors: Song Shuang
Published: November 2019

Whether certain pollutants would remain after the relocation of heavy metal contaminated industrial sites? It required environmental investigation of the site, determined the scope of investigation of contaminated sites, and conducted site identification. This paper took an industrial contaminated site in a city of Jiangxi Province as an example. After identifying the site, the solid waste was sampled, analyzed and measured, and the solid waste category was determined to determine whether it had potential risks. It was the same type of contaminated site solid waste. It would provide technical ideas for the identification and identification of environmental impacts.
Study on Rheological Properties of Vibrating Mixing Concrete Based on Orthogonal Test
Authors: Zhao Wu , Liu Kun , Chen Yang , Wang Xuanfeng , Yang Yanyan
Published: November 2019

In order to study the different effects of amplitude, vibration frequency, mixing linear velocity and mixing time on the rheological properties of C60 high-performance concrete, the orthogonal test study was carried out. Through the method of range and variance analysis to analyse the yield stress and plastic viscosity of the fresh concrete, the main order of the influence of various factors on the rheological properties of the fresh concrete was the amplitudeₒmixing timeₒmixing linear velocity ₒ vibration frequency. The influence of various factors on the rheological properties of concrete and its influencing mechanism were analyzed by test data. The results show that the application of vibration during the mixing process can significantly improve the fluidity of fresh concrete.
Effects of Process Parameters on the Structure and Hardness of Components in Laser Direct Metal Forming
Authors: Wang H , Liu X H , Han B , Lin J Y , Han X R
Published: November 2019

As a typical additive manufacturing (AM) technology, Laser Metal Direct Forming(LMDF) integrates the characteristics of laser cladding technology and rapid prototyping technology. Because LMDF process has important application value in the field of rapid mould manufacturing and additive remanufacturing process, the effects of main technological parameters (laser power, powder feeding rate and scanning speed) on the microstructure and hardness in the process of forming were studied. To verify this influence rule, the experimental study on LDMF with different process parameter combinations were carried out with 45 steel as matrix and iron-based alloy powder as cladding material. Experimental results was consistent with the theoretical analysis results. In a word, experiments show that LMDF process can obtain uniform and compact metal cladding layer. The forming process parameters and their reasonable matching are closely related to the structure and performance of components. With the increase of laser power, the grain size of metallographic structure increases and the hardness decreases. To a certain extent, properly increasing the scanning speed and powder feeding rate can refine the grain size of metallographic structure, which increased the hardness of the component and enhancing its surface wear resistance.
Effect of graphenene nanoplatelets on microstructure and properties of cement mortar under simulated acid rain
Authors: Yang Mingqian , Chen Guofang , Cao Naixing , Zhang Yingzi , Wang Yanze
Published: November 2019

The mortar loses strength under acid rain conditions, causing cracking, weight loss and damage to the structure. This paper studies the effects of graphenene nanoplatelets(GNP) mortar under simulated acid rain conditions. A control sample without GNP and the addition of GNP were ranging from 0.2% to 0.6% by weight of ordinary Portland cement were prepared. In different corrosion days, the mechanical properties of the GNP cement mortar were measured, scanning electron microscopy also applied. Results showed that the mechanical properties of cement mortar added with graphene are improved. Compared with the control sample, the compressive strength and flexural strength of specimens containing 0.2wt% GNP are increased by 10% and 8%, respectively. Adding GNP can improve the acid resistance and durability of cement mortar.
The influence of fly ash on the bending characteristics of cost-effective cementitious composites
Authors: Qi Zhanfeng , Chen Wenhua , Zhang Lei , Huang Zhiyi
Published: November 2019

In order to popularize the cost-effective strain hardening cementitious composites (SHCCs) in the tunnel reinforcement, SHCCs were prepared with domestic fibers in this paper. the crack propagation, load-deflection curve, and bending stiffness of SHCCs were studied by using the four points bending test, digital image correlation technology (DIC) and scanning electron microscopy (SEM). The results indicate that all the samples exhibit the characteristics of multi-cracking, and accordingly, the load-deflection curves present the strain hardening behavior. With the content of fly ash ranging from 40% to 60%, the number of cracks, captured by DIC technology, increased from 6 to 12. Meanwhile, the hardening phase of the bending stress-deflection curve became steady along with the flexural strengths dropping from 12.27 MPa to 9.49 MPa. In addition, through fitting the load-deflection curve, there is a good linear rule of stiffness in all the samples during hardening stages, and the stiffness also degenerates linearly with the increase of the fly ash. It is expected that the experimental outcomes are useful to design the target stiffness of cost-effective SHCCs in practical applications.
Effect of Early Strength, Retarding and Slump-retaining Components of Polycarboxylic Acid Admixture on Workability of Fresh Concrete
Authors: You Renliang
Published: November 2019

The effects of the amount of early strength components, retarding components and slump-retaining components of concrete admixtures on initial fluidity, slump loss and initial setting time of concrete are compared through experiments, so as to adjust the workability of fresh concrete more pertinently.
The research of data retention of HfO2 as trapping layer: First-principles study
Authors: Jiang Xianwei , Wang Feifei , Wang Haibo , Yang Jin , Lu Shibin
Published: November 2019

The influence of the Charge Trapping Memory storage feature was researched by doping the substitutional impurity Al and introducing oxygen vacancy within HfO2. Materials studio and Vienna Ab-initio Simulation Package were used to investigate the influence of doping Al on the formation of the oxygen vacancy in HfO2 as trapping layer. At the same time, the interaction energy of two defects under different distances was calculated. The calculation results show that doping the substitutional impurity Al reduces the formation energy of oxygen vacancies in the HfO2, and the reduced formation energy of the three-fold-coordinated O vacancy is larger than that of the four-fold-coordinated O vacancy. After having studied three different defect distances between substitutional impurity Al and three-fold-coordinated O vacancy, the results indicate that the system acquires the largest charge trapping energy, the most quantum states when the distance of the defects is 2.107Å. As a conclusion, the data retention in the trapping layer of monoclinic HfO2 can be improved by doping the substitutional impurity Al. This work will provide a theoretical guidance for the performance improvement with respect to the data retention of Charge Trapping Memory.
Research on synthesis and properties of amphoteric early strength polycarboxylate superplasticizer
Authors: Lai Guangxing
Published: November 2019

The amphoteric early strength polycarboxylate superplasticizer (AE-PCE) was synthesized by free radical aqueous solution polymerization, and using acrylic acid (AA), isobutylene alcohol polyoxyethylene ether (HPEG, molecular weight 4000) and dimethyl diallyl ammonium chloride (DMDAAC) as monomers. In this work, the structure of AE-PCE were characterized by FTIR, the hydration behavior of concrete were investigated by using TAM AIR isothermal microcalorimetry and scanning electron microscope, and properties of AE-PCE were studied by cement paste and concrete experimental. The results show that the quaternary ammonium cationic functional group has been successfully introduced into the molecular structure of polycarboxylate superplasticizer. The synthesized amphoteric early strength polycarboxylate superplasticizer (AE-PCE) can accelerate the hydration rate, significantly shorten the setting time and improve the early strength of concrete, and the effect of promoting coagulation and early strength is better than similar foreign products. Applied to the production process of subway shield segments, AE-PCE can effectively shorten the demoulding time of shield segments and improve the production efficiency under low temperature conditions in winter.
Study on Preparation and Performance of Steel Slag Asphalt Mixture Based on Steel Slag Aggregate
Authors: Yan Zhou , Hao Zhang
Published: November 2019

The comprehensive utilization of steel slag has always been a worldwide problem. Under the background of vigorous development of highways in China, the application technology of steel slag in asphalt concrete will make the steel slag resources hopefully get a large number of reasonable utilization. Based on the application of steel slag in asphalt concrete, the basic physical and chemical properties of different types of steel slag were investigated. The blast furnace slag was used as the aggregate to prepare the asphalt mixture. The mixture was tested by research and test. The uniaxial compression test and the indirect tensile test were used to evaluate the low temperature crack resistance and fatigue resistance. The test results show that the surface texture of steel slag is rough and the embedding effect is good, which is beneficial to enhance the adhesion with asphalt and improve the shear resistance. The steel slag asphalt mixture has good low temperature deformation ability and small expansion ratio, which can be paved to meet the driving conditions. Required asphalt concrete pavement.
Design of a Time Discriminator in a Low-background, Anti- Compton Spectrometer
Authors: Li Xin-Chi , Zeng Guo-qiang , Yan Lei , Bai Bin , He Li , Ge Liang-Quan , Hu Chuan-Hao , Hou Yang
Published: November 2019

Compton scattering leads to the incomplete deposition of particle energy and produces a Compton scattering background, which decreases the measurement accuracy of low-energy rays. The low-background, anti-Compton spectrometer outputs 7-channel time signals through coincidence detector. The Compton events can be identified and reduced by the inverse coincidence of these time signals with the energy signals coming from the High Purity Germanium (HPGe) Detector. The precise-time measurement circuit can pulse shape the signal from the coincidence detector and accurately draw the arrival time of the signal. This is the key for a low-background, Compton-suppressed spectrometer to realize accurate anticoincidence measurements. In this study, a constant fraction discriminator (CFD) circuit was designed to replace the traditional leading-edge timer. A constant fraction discriminator-based all-pass filter without a delay line was used as the delay module. The advantages of the proposed method include the integration of circuits, low power consumption, and low cost. The simulation nuclear signals with different amplitudes, which were measured using the proposed CFD design, were outputted using the signal generator. The maximum deviation of the circuit triggering ratio was 2.5% and time jitter was 1.6 ns. The anti-Compton spectrometer with constant fraction discriminator has good Compton suppression effect. The peak-to-Compton ratio of the Compton-suppressed spectra is 1333:1 and the Compton-suppressed coefficient is 6.3.
Impact of vessel activities in the surrounding waters of China on mainland air quality
Authors: Zheng Wang , Cuihong Qin , Wei Zhang , Ying Liu
Published: November 2019

Based on the WRF-CMAQ air quality model, quantitatively simulate the impact of the main air pollutant emissions from the ship transportation activities in the surrounding waters on the urban ambient air quality in coastal areas. The results show that in 2014, the annual average contribution rates of NOx, SO2, PM2.5 and PM10 generated by ship activities in coastal areas of China were 5.95%, 2.20%, 1.46% and 1.41%, respectively. The time difference between ship emissions and air quality impact is significant. The average contribution of ships in April and July is about 10% and 3.5%, and the contribution in January and October is only 2% and 0.93%. The contribution rate of ship activities to the annual average concentration in the coastal waters of China is less than 6%. The impact of coastal ship operations on ambient air quality is generally small..
Current Research and Prospect of Cloud Application in Manufacturing Equipment Design
Authors: Wang Miao , Zhang Zhenming , Zhang Zhicheng
Published: November 2019

Equipment manufacturing industry leads the development of manufacturing industry, which is the pillar industry of the country. Its design process is long-term and complex. This paper summarizes the characteristics of equipment manufacturing industry and its design, summarizes and analyses the mainstream design methods in recent years, describes the key technologies, and preliminarily discusses the development trend of cloud design in equipment manufacturing industry.
Experimental investigation of effect of the surface texture configuration on hydrodynamic performance under oil lubricated rotating condition
Authors: Chen Juan , Zeng Liangcai , Lu Yan , Chen Kuisheng , Zhan Congchang
Published: November 2019

A series of experiments is conducted to investigate the hydrodynamic performance of samples with different surface texture configurations. Two kinds of dimple texture configurations are designed: circumferential radiation distributed partial texturedsample and equal distance distributed fully textured sample. The none textured sample is taken as a contrast one. In the test, gap between tested specimen and the geometric probe is set at 20 μm. By changing the rotating speed of the geometric robe, the load-carrying capacity measured is constantly changing. It is found that the load-carrying capacity is strongly influenced by the surface texture configuration and the operation condition.
Nonlinear numerical analysis of a thin current-carrying frustum shell based on magnetic-mechanical coupling
Authors: Bian Yuhong , You Qun , Zhang Chen
Published: November 2019

A nonlinear magnetoelastic problem for a thin current-carrying frustum shell under the interaction of an electromagnetic field and a mechanical field is studied, and the numerical calculation method is given. The magnetoelastic basic equations of the thin frustum shell are derived. The linearized iterative equations are developed. The stresses and deformations in a thin current-carrying frustum shell under the interaction of electromagnetic field and mechanical loads are calculated by considering a specific example. The magnetoelastic effect on the thin frustum shell by electric current density and magnetic induction intensity is studied. The results show that the stresses and deformations in thin shells can be controlled by changing electric current density or magnetic induction intensity.
STUDY ON OPERATION AND MAINTENANCE RESOURCE SCHEDULING METHOD OF POWER GRID MARKETING SYSTEM BASED ON SENSITIVITY CLUSTERING
Authors: Qiao Lin , Song Qing , Wang Xue
Published: November 2019

Aiming at the problem of low precision in operation and maintenance resource scheduling of traditional power grid marketing system, a method of operation and maintenance resource scheduling of power grid marketing system based on sensitivity clustering is proposed. Use operation and maintenance technology to collect key data of power grid, application operation state and online data of operation supporting environment, and integrate resources. On this basis, resource scheduling processing is carried out after analyzing resource scheduling requirements. The resource table and corresponding resource fields are selected to obtain the operation and maintenance resource scheduling set of the power grid marketing system, so as to realize the operation and maintenance resource scheduling of the power grid marketing system. The experimental results show that this method is more accurate than the traditional one and has practical application significance.
AN OUTLIER DETECTION METHOD OF LOW-VOLTAGE USERS BASED ON WEEKLY ELECTRICITY CONSUMPTION
Authors: Xiao-feng Tang , Rui Huang , Qi Chen , Zhao-yi Peng , Hao Wang , Bi-heng Wang
Published: November 2019

A method of detecting abnormal electricity consumption behavior of low-voltage electricity consumption users based on weekly electricity consumption is proposed. Firstly, features of weekly electricity consumption curve data are extracted from the actual daily consumption data. Fuzzy C-means clustering algorithm is used to classify electricity consumption behavior. Typical weekly electricity consumption characteristic curves of low-voltage power users are obtained, and then low-voltage users with abnormal electricity consumption are marked based on distance. The effectiveness and feasibility of the algorithm are verified by the actual electricity consumption data of 15 stations in Yang-Zhou City.
Research on Environmental Risk and Hidden Dangers in Civil Engineering Field
Authors: Wang Haiyan , Liu Leilei
Published: November 2019

Based on the related results of accident causation research and the characteristics of engineering construction environment in civil engineering field, this paper puts forward the research method of integrated prevention and ore-control integration for engineering environmental risk in civil engineering field and hidden danger investigation, including the basic concepts and engineering connotations, and proposes the first process. The environmental risk list, then determine the monthly control plan according to the progress of the project, and finally implement the three-stage dynamic such as the daily hidden danger investigation according to the in civil engineering field and control requirements, and modify and update the environmental risk in civil engineering field and control list according to the situation of the hidden dangers on the spot.
Simulation Analysis for Deployment Motion of SMPC Deployable Antenna
Authors: Jia Baoxian , Bian Wenfeng , Peng Ning
Published: November 2019

In order to predict the deployment time of deployable antenna and whether the deployment of the antenna meets the overall design requirements of the satellite, it is necessary to analyze the whole movement process of the antenna from folding to final unfolding. Before the ground simulation experiment of antenna deployment, the motion analysis of the deployment process is of great significance. In this paper, the deployment process of deployable antenna is analyzed by kinematics. Based on the theoretical model of a single antenna, the differential equation of motion of the deployment process is established. Based on ADAMS virtual prototyping technology, the prototype model of satellite and antenna is established, and the deployment process of the single antenna is simulated. The time-varying curves of the angle and moment during the deployment of the antenna are obtained by simulation. The changes of the position and velocity of the satellite mass center during the deployment of the antenna are studied. The influence of antenna deployment on the position and attitude of satellite body is analyzed.
Experiments on Simulation Microgravity of Composite Deployable Antenna
Authors: Jia Baoxian , Bian Wenfeng , Peng Ning
Published: November 2019

After the satellite is launched into a special orbit in space, its space environment is zero gravity or microgravity. Therefore, in ground simulation experiments, it is necessary to consider overcoming the gravity of the earth and try to reduce or eliminate the influence of gravity. In this paper, the method of counteracting gravity by air-floating platform is used to simulate the space microgravity environment, and to do the unfolding experiments for single deployable antenna. After the deployment of the single antenna, the connection structure of single antenna is tested by modal experiment. The microgravity simulation experiment shows that the shape memory hinge can normally satisfy the folding and unfolding of a single antenna. The whole unfolding process is smooth and there is no obvious vibration. The first six modes and natural frequencies are obtained and compared with the simulation results. The comparison shows that the experimental results are in agreement with the simulation results.
Research and application of low voltage ride through capability of wind turbines in microgrid
Authors: Li Guanglei , Yuan Shuai , Jin Fei , Liu Xiaoliang , Zhao Peng
Published: November 2019

In order to adapt to the stable operation of microgrid operating conditions, asynchronous constant speed wind turbines need to have low voltage ride through capability. For the characteristics of a certain type of asynchronous wind turbine,the technical control of full-power back-to-back converter is proposed. The machine-side converter stabilizes the stator voltage, the grid-side converter stabilizes the DC bus voltage and controls the active and reactive decoupling. The 750 kW wind turbine simulation model is established in MATLAB/Simulink, and the rectified unit is field tested and verified to have low voltage ride through capability.
Application Analysis of LS Channel Estimation for Transform Domain Communication System
Authors: Li Xiazhao , Ren Qinghua , Li Ming , Wu Jialong
Published: November 2019

To reduce the influence of wireless transmission channel on transform domain communication system (TDCS) and improve the channel estimation accuracy, a system model of Least Square (LS) channel estimation on TDCS is established. In this paper, the influence of the unavailable frequency existing in basic function is analysed for the LS channel estimation, then the expression of mean square error (MSE) is derived. After that, the frequency pilot insertion pattern and the interpolation algorithm suitable for TDCS is proposed. The simulation results verify the paper’s theoretical analysis, and the effectiveness of the proposed algorithm is proved by the comparison of the MSE and BER performance.
Dynamic Reactive Power Coordination Control Method for UHVDC Converter Station
Authors: Li Hui , Wang Zhen , Liu Pengfei , Wang Wen , Zhou Ting , Mao Wenqi , Liu Haifeng , Wang Xiaofei
Published: November 2019

In recent years, UHVDC transmission has developed rapidly. However, large-capacity DC converters generally use semi-controlled devices. The receiving converter station consumes a large amount of reactive power, which is easy to change when the AC bus voltage drops. The commutation failure happened, and more reactive power is absorbed from the AC system, which threatens the stability of the bus voltage. In order to study the dynamic reactive power coordination control strategy of UHVDC converter station, this paper compares the commonly used reactive power compensation equipment, and points out that synchronous condenser (SC) has significant advantages in reactive power regulation. This paper proposes a DC control system and SC coordination control scheme, and simulates the strategy through the electromagnetic transient simulation software PSCAD. The simulation shows that the synchronous condenser can provide continuously adjustable dynamic reactive power support during the change of the system switching filter, avoiding the risk of grid voltage drop exceeding the limit and improving the stability of the AC bus voltage.
A Design for Medium Voltage Inverter DC Bus Sampling Circuit
Authors: Ma Shufang , Xue Bin
Published: November 2019

This design is aimed at a 1140V medium voltage converter for mining industry, which can sample the high voltage DC bus voltage of the frequency converter by voltage reduction and A / D conversion optical fiber transmission. Because the DC bus voltage of frequency converter is high, which brings great danger to detection and maintenance, the DC sampling scheme greatly solves this problem, and highlights photoelectric isolation through appropriate circuit design. The problem of isolation between high voltage area and low voltage area of frequency converter is solved, and the accuracy of sampling and the safety of maintenance personnel are guaranteed.
Blind Dereverberation Wideband Multi-Source 2-D DOA Estimation Method Based on Single Channel Nonnegative Matrix Factorization
Authors: he Pengju , Qi Mi , Yu Zijiang , Fu Qiang , Tang Mengyang
Published: November 2019

There are many algorithms for DOA estimation based on blind source separation (BSS), which assumes that each sensor perceives a linear instantaneous mixed narrowband signal with known number of sources in noise-free or low noise environments. However, in practical applications, the number of mixed signal sources is unknown, and the perceived signals are often acquired in strong noise and reverberant environments. This paper proposes a novel noise reduction single-channel nonnegative matrix factorization deconvolution (NRSNMFD) wideband multi-source 2-D DOA estimation algorithm. Firstly, LMS adaptive filtering is used to remove the noise of the observation signal. Secondly, the single channel observation signal is decomposed into multi-channel signals composed of multiple intrinsic mode functions (IMFs) by empirical mode decomposition (EMD). The number of signal sources is estimated and the determined signals are reconstructed. Thirdly, the dereverberation of the signals are realized by NMFD method. The GCC-PHAT method is used to estimate the delay of the signal source. Finally, signal source location is realized based on the delay. The simulation and actual test results show that the proposed algorithm can estimate 2-D DOA with high accuracy under noise and reverberation environment, providing a new method for engineering application.
Applying fractional order system to design coordinated control system in primary frequency and automatic generation control for large coal-fired units
Authors: Wang Li , Liu Guohua , Jie Qiliang , Li Zhiyong
Published: November 2019

The large coal-fired units should have the ability of primary frequency (PF) and automatic generation control (AGC) to meet the requirements of grid security. In this paper, coordinated control system (CCS) with fractional order control (FOC) is designed in PF and AGC for large coal-fired units. An implementation of fractional order PID (FOPID) controller in distributed control system (DCS) is proposed. The engineering application results show that the algorithm is easy to implement in engineering, which can overcome the large delay and inertia of the fuel system, and effectively improve the performance of PF and AGC.
Design of 100A High Stability Sampling Resistance
Authors: Ningzhao Luo , Feng Yang , Yao Zhang , Jiangyuan Qu
Published: November 2019

In this paper, multiple manganese-copper resistance wires are connected in parallel as the basic structure of the sampling resistor. The stability of the resistance wire is analysed when the conductor is connected in parallel and twisted, and the resistance wire of the sampling resistor is determined to be connected in a twisted manner to reduce the influence of interference on the measurement. Sampling resistance is annealed in a thermostat to release the internal stress of the stranded wire. Experiments show that the resistance has a stability of 7 ppm for 8 hours. The resistance is connected to a high stability constant current source for testing. The short-term stability of the constant current source is better than 10 ppm, which meets the design requirements.
Damage detection of multi- source excitation based on FBG sensor
Authors: Huang Li Cai Wei , Chi Xingqiang
Published: November 2019

The Vibration detection is one of the key technologies of structural reliability. Traditional detection methods mainly focus on the analysis under single excitation, while the actual engineering problems mostly present the resonance phenomenon of multi-source excitation. Therefore, in this paper, based on the characteristics of FBG sensor, the vibration response characteristics under multi-source excitation are studied, including theoretical simulation and experimental research under multi-source excitation. On this basis, the experimental system for damage detection is built and its results show that this method by multi-excitation detection is feasible and it is sensitive to crack damage.
Research on data consistency of LED based on temperature step stress acceleration test
Authors: Lin Jingdong , Zhao Yue , Ma Chenyu
Published: November 2019

At present, whether electronic equipment can maintain the reliability of modeling under different temperature conditions is an urgent problem to be solved. This paper studies LED under stepping temperature stress. Firstly, the luminous flux of LED method is established based on the Arrhenius temperature degradation path model. Secondly, the criterion of temperature step stress is determined., and then the MATLAB is used to select the distribution model which best fits the LED flux degradation trajectory. Finally, we check the consistency of the LED data, so as to realize the establishment of the LED flux degradation trajectory model. The result show that this model has high reliability and can calculate the normal life data of LED accurately.
Prediction high frequency parameters based on neural network
Authors: Zhang Wenhe , Huang Guoce , Wang Guisheng , Wang Ye
Published: November 2019

Aiming at the shortcomings of the current high frequency communication frequency parameter prediction method, the frequency parameter prediction method based on Gated Recurrent Unit Recurrent Neural Networks (GRU RNN) is proposed. Through the analysis of the ionospheric parameter f0F2 data, the GRU can predict the f0F2 value by long-term memory of the historical data when processing the time series related data. Compared with other prediction methods, the error between the predicted value and the true value is only 2%. The research results show that the model to predict the f0F2 value in advance is feasible.
An Improved Data Rate Change Algorithm based on Adaptive Frame Length
Authors: Ye Wang , Jian Li , Guoce Huang , Wenhe Zhang
Published: November 2019

In order to solve the high bit error rate (BER) caused by rate oscillation in traditional Data Rate Change (DRC) algorithm, an improved DRC algorithm based on Adaptive Frame Length (AFL) was proposed. Firstly, the frame length and transmission rate of the initial transmission were determined by the parameters of the current channel and the information of previous empirical values. Then, if two frames with the same length were successively sent in the transmission process, the frame length would be accordingly increased. If the retransmission failed twice in a row, the frame length would be halved in the next transmission. Finally, the frame error rate was calculated based on the current frame length. The data rate would be updated If the value was less than the present threshold. Compared with RapidM DRC, the average bit error rate of the link decreased by 4.8 percentage points, and the link availability increased by 10 percentage points. The experimental results show that the proposed algorithm can eliminate the rate oscillation and improve the communication capability of the HF communication system.
Design of Autonomous Vibration Monitoring System
Authors: Rui Wu , Zhao Yang
Published: November 2019

The design of the vibration monitoring system is based on the hardware of vibration sensor and signal conditioning circuit, virtual instrument as a diagnosis and alarm platform, auxiliary data acquisition card and alarm equipment. When the outside intrudes into the detection range, the vibration signal is generated and collected. The alarm is realized through the linkage of security monitoring system, so the video surveillance and video recording of the detection area are completed. In addition, the system opens the illumination equipment in the detection range to compensate for the environment of the video and deter the illegal intruders. The system includes acquisition of weak vibration signal by vibration sensor,amplification and adjustment of vibration signal by CCTV. This system has high feasibility and wide coverage. It is worth popularizing in security system in the future.
Tailoring of electrical properties in nanostructured (NiO)0.25(Fe2O3)0.75 composite and compound for sensing applications
Authors: Farooq Omer , Anis-ur-Rehman M , ul Haq A
Published: November 2019

Compound and composite of the (NiO)0.25(Fe2O3)0.75 nanoparticles have been prepared by without water and surfactants (WOWS), Sol-gel method. Synthesized nanoparticles are calcined at 500 °C/2 h and pellets are sintered at 550 °C/1 h. The compound and composite showed cubic lattice and rhombohedral crystallographic lattices respectively. Morphological analysis is done by Scanning electron microscope and Transmission electron microscope. UV characterization was done to calculate band gap energies for both samples. DC electrical conductivity as a function temperature from 373.15 to 703.15 K was done by two-probe method. DC conductivity has been explained by hopping mechanism. Activation energies were calculated from Arrhenius plots. AC electrical properties namely; dielectric constant, dielectric loss tangent, ac conductivity and impedance were measured as a function of frequency (20 Hz–3 MHz). AC electrical properties were explained by Maxwell-Wegner model, Koop’s theory and Johnsher’s power law. Composite of (NiO)0.25(Fe2O3)0.75 showed enhanced properties as compared to compound.
Electronic and lattice structure of CaFe1−xCoxAsF probed by x-ray absorption spectroscopy
Authors: Huang Hui , Ji Ping , Xie Yu , Han Hui , Ge Binghui
Published: November 2019

The local lattice and electronic structures of CaFe1−xCoxAsF (x = 0, 0.15) are investigated by Fe K-edge and As K-edge x-ray-absorption near-edge structure and extended x-ray-absorption fine structure from 10 to 300 K. A redistribution of electron density of state between Fe(Co) and As atoms with decreasing temperature has been found in CaFe0.85Co0.15AsF, resulting in the increase of local density of state near the Fe site. It is found that the doping of Co introduces large static local lattice disorders of the As–Fe(Co) bonds. When we examine the local lattice structure around the Co dopants, we find the static local disorder is much more serious in the Co–As bonds comparing to that of As–Fe(Co) bonds. These facts suggest that strong electron-lattice interaction coexists with superconductivity in Fe-based superconductors.
The other side of the Sahulian coin: biogeography and evolution of Melanesian forest dragons (Agamidae)
Authors: Tallowin Oliver J S , Meiri Shai , Donnellan Stephen C , Richards Stephen J , Austin Christopher C , Oliver Paul M
Published: November 2019

New Guinea has been considered both as a refuge for mesic rainforest-associated lineages that contracted in response to the late Cenozoic aridification of Australia and as a centre of biotic diversification and radiation since the mid-Miocene or earlier. Here, we estimate the diversity and a phylogeny for the Australo-Papuan forest dragons (Sauria: Agamidae; ~20 species) in order to examine the following: (1) whether New Guinea and/or proto-Papuan Islands may have been a biogeographical refuge or a source for diversity in Australia; (2) whether mesic rainforest environments are ancestral to the entire radiation, as may be predicted by the New Guinea refuge hypothesis; and (3) more broadly, how agamid ecological diversity varies across the contrasting environments of Australia and New Guinea. Patterns of lineage distribution and diversity suggest that extinction in Australia, and colonization and radiation on proto-Papuan islands, have both shaped the extant diversity and distribution of forest dragons since the mid-Miocene. The ancestral biome for all Australo-Papuan agamids is ambiguous. Both rainforest and arid-adapted radiations probably started in the early Miocene. However, despite deep-lineage diversity in New Guinea rainforest habitats, overall species and ecological diversity is low when compared with more arid areas, with terrestrial taxa being strikingly absent.
ZPR1 prevents R-loop accumulation, upregulates SMN2 expression and rescues spinal muscular atrophy
Authors: Kannan Annapoorna , Jiang Xiaoting , He Lan , Ahmad Saif , Gangwani Laxman
Published: November 2019

Spinal muscular atrophy (SMA) is a neuromuscular disorder caused by homozygous mutation or deletion of the survival motor neuron 1 (SMN1) gene. A second copy, SMN2, is similar to SMN1 but produces ∼10% SMN protein because of a single-point mutation that causes splicing defects. Chronic low levels of SMN cause accumulation of co-transcriptional R-loops and DNA damage leading to genomic instability and neurodegeneration in SMA. Severity of SMA disease correlates inversely with SMN levels. SMN2 is a promising target to produce higher levels of SMN by enhancing its expression. Mechanisms that regulate expression of SMN genes are largely unknown. We report that zinc finger protein ZPR1 binds to RNA polymerase II, interacts in vivo with SMN locus and upregulates SMN2 expression in SMA mice and patient cells. Modulation of ZPR1 levels directly correlates and influences SMN2 expression levels in SMA patient cells. ZPR1 overexpression in vivo results in a systemic increase of SMN levels and rescues severe to moderate disease in SMA mice. ZPR1-dependent rescue improves growth and motor function and increases the lifespan of male and female SMA mice. ZPR1 reduces neurodegeneration in SMA mice and prevents degeneration of cultured primary spinal cord neurons derived from SMA mice. Further, we show that the low levels of ZPR1 associated with SMA pathogenesis cause accumulation of co-transcriptional RNA-DNA hybrids (R-loops) and DNA damage leading to genomic instability in SMA mice and patient cells. Complementation with ZPR1 elevates senataxin levels, reduces R-loop accumulation and rescues DNA damage in SMA mice, motor neurons and patient cells. In conclusion, ZPR1 is critical for preventing accumulation of co-transcriptional R-loops and DNA damage to avert genomic instability and neurodegeneration in SMA. ZPR1 enhances SMN2 expression and leads to SMN-dependent rescue of SMA. ZPR1 represents a protective modifier and a therapeutic target for developing a new method for the treatment of SMA.
REToma: a cancer subtype with a shared driver oncogene
Authors: Kohno Takashi , Tabata Junya , Nakaoku Takashi
Published: November 2019

RET (REarranged during Transfection), which encodes a receptor tyrosine kinase for members of the glial cell line-derived neurotrophic factor, plays a role as driver oncogene in a variety of human cancers. Fusion of RET with several partner genes has been detected in papillary thyroid, lung, colorectal, pancreatic and breast cancers, and tyrosine kinase inhibitors (TKIs) for RET (particularly RET-specific inhibitors) show promising therapeutic effects against such cancers. Oncogenic mutations within the extracellular cysteine-rich and intracellular kinase domains of RET drive medullary thyroid carcinogenesis; the same mutations are also observed in a small subset of diverse cancers such as lung, colorectal and breast cancers. Considering the oncogenic nature of RET mutants, lung, colorectal and breast cancers are predicted to respond to RET TKIs in a manner similar to medullary thyroid cancer. In summary, cancers carrying oncogenic RET alterations as a driver mutation could be collectively termed ‘REToma’ and treated with RET TKIs in a tissue-agnostic manner.