bluuebunny/crossref_metadata_2025 huggingface dataset:
Order-of-magnitude beam current improvement in compact cyclotrons
Authors: Winklehner Daniel , Conrad Janet M , Schoen Devin , Yampolskaya Maria , Adelmann Andreas , Mayani Sonali , Muralikrishnan Sriramkrishnan
Published: January 2022

There is great need for high intensity proton beams from compact particle accelerators in particle physics, medical isotope production, and materials- and energy-research. To address this need, we present, for the first time, a design for a compact isochronous cyclotron that will be able to deliver 10 mA of 60 MeV protons—an order of magnitude higher than on-market compact cyclotrons and a factor four higher than research machines. A key breakthrough is that vortex motion is incorporated in the design of a cyclotron, leading to clean extraction. Beam losses on the septa of the electrostatic extraction channels stay below 120 W (40% below the required safety limit), while maintaining good beam quality. We present a set of highly accurate particle-in-cell simulations, and an uncertainty quantification of select beam input parameters using machine learning, showing the robustness of the design. This design can be utilized for beams for experiments in particle and nuclear physics, materials science and medical physics as well as for industrial applications.
Time-dependent POVM reconstruction for single-photon avalanche photo diodes using adaptive regularization
Authors: Fitzke Erik , Krebs Robin , Haase Thorsten , Mengler Max , Alber Gernot , Walther T
Published: January 2022

We report on the first realization of time-dependent quantum detector tomography for commercially available InGaAs avalanche photo detectors. For the construction of appropriate time-dependent POVMs from experimentally measured data, we introduce a novel scheme to calculate the weight of the regularization term based on the amount of measured data. We compare our POVM-based results with the theoretical predictions of the previously developed model by Gouzien et al.. In contrast to our measurement-based construction of a time-dependent POVM for photon detectors, this previous investigation extends a time-independent POVM to a time-dependent one by including effects of detector timing jitter and dead time on the basis of particular model assumptions concerning the inner physical mechanisms of a photon detector. Our experimental results demonstrate that this latter approach is not sufficient to completely describe the observable properties of our InGaAs avalanche photo detectors. Thus, constructing the time-dependent POVM of a detector by direct quantum tomographic measurements can reveal information about the detector's interior that may not easily be included in time-independent POVMs by a priori model assumptions.
All fiber structured supercontinuum source based on graded-index multimode fiber
Authors: Zhang Ting , Zhang Wei , Hu Xiaohong , Pan Ran , Wang Zhenguang , Wang Hushan , Wang Yishan
Published: January 2022

We provide an all fiber spectrally flat supercontinuum (SC) source generated by pumping a 20 m graded-index multimode fiber (MMF). The fiber pigtails of the all-fiber pump pulse laser and the MMF fused with a special method. After measuring the spectrum and the power, the output power extending from the visible to the mid-infrared is 2 W. To the best of our knowledge, this is the first watt-class and spectrally flat all fiber structured SC source based on graded-index MMF. Finally, we studied the evolution of the SC with increasing output power, which permitted us to more clearly recognize the nonlinear phenomena in the generation of the SC.
Synthesis BaFe12O19 based on natural iron sand with Cu and Ni doping using coprecipitation method
Authors: Elinda B U P , Susilawati  , Kosim  , Doyan A
Published: January 2022

Synthesis of BaFe12O19 based on natural iron sand with Cu and Ni doping using the coprecipitation method has been done. This research was conductedat the Chemistry Laboratory, Faculty of Teacher Training and Education, Mataram University. The synthesis was carried out through the variation of doping ions and calcination temperature. The concentration of doping ion used is x = 0.0; 0.4; 0.8; and 1.0 with variations in calcination temperature of 200, 600, and 1000 0C. The materials used are BaCO3, Fe3O4, CuSO4, and NiCl2.6H2O powder. This synthesis process aims to obtain BaFe12-2xCuxNixO19 powder that will later be used as a microwave absorbent material. To obtain sample powder of BaFe12-2xCuxNixO19, thisresearch is carried out through three stages: natural sand separation, magnetic minerals separation, and synthesisand calcination. The separation is to attach magnetic materials from the sand using a permanent magnet. After that, the magnetic mineral is detached from the separated sand to obtain Fe3O4 powder, which will later be used for synthesis. The results of synthesis and calcination showed that the more doping ions applied, the more concentrated the resulting powder. Similarly, according to the temperature variation, the higher the temperature, the more black the sample powder is.
PIMCA: A New Alternatives to Physics Learning Model
Authors: Poluakan C , Katuuk D
Published: January 2022

The general development of knowledge in physics particulary, requires the ability to understand the right and obey the principles. This study purposed to carried out the use of learning models to ensure a quality learning process with the right concepts and avoid misconceptions. The learning model is also adaptive to the 4.0 era demands and the special situation of the pandemic era. The learning model is PIMCA (presentation-idea mapping-conceptualization-assessment formative). The PIMCA learning model is based on the main theories of educational psychology, such as behavioristic, cognitive, constructivist, and humanistic. It was conducted to students in the physics education department at Manado State University, used experimental study in various fields of physics studies such as waves, optics, electricity, and magnetism, it was found that the average achievement of learning progress from the pre-test and post-test was 73.14%. Likewise, in terms of conceptual understanding of physics, namely from idea maps and concept maps, an average increase of up to 84% is obtained. The major findings of this study indicate that the PIMCA learning model can be effectively used as an alternative in learning physics. Study using PIMCA learning models needs to be continued to be applied to the learning of physics in the field of mechanics and modern physics, as well as in the learning of mathematics, science, including biology-chemistry-geology and astronomy, and engineering.
Electrical impedance analysis of NaCl and CaCl2 solutions based on equivalent electric circuit
Authors: Rahmawati E , Santoso D R , Noor J A F , Nadhir A
Published: January 2022

In this paper, we report the behaviour of electrical impedance of sodium chloride (NaCl) and Calcium chloride (CaCl2) with the concentration of 1.25 to 100 mM/L in frequencies ranging from 10 mHz to 1 MHz. The complex electrical impedance (real and imaginary parts) is obtained using the electrical impedance spectroscopy (EIS) technique. The experimental data had been fitted with three models of equivalent electrical circuit (EEC), model-a is Randles circuit, model-b consist of R solution (Rs) in series with constant phase element (CPE) and model-c consist of Randles circuit in series with CPE. Best fit data is obtained from model-c with goodness of fit less than 0.005. The CPE in this circuit associated with the electric double-layer. As expected from the experimental and fitting spectra, even for a low concentration for both salts, an inverse relationship was observed between impedance and salt concentration. The number of ions contains in CaCl2, which are more than NaCl is estimated to be the cause that CaCl2 impedance is lower than NaCl. The total impedance influenced by the CPE component increased significantly at frequencies about 100 Hz, indicating that the equivalent electric circuit used can estimate the effect of double-layer on the measurement.
Designing and constructing mini refrigerator with thermoelectric module
Authors: Tamami F , Doyan A , Susilawati  , Hikmawati  , Ayub S , Azhar  , Hudha L S
Published: January 2022

Cooling Engine is one application of the laws of thermodynamics. Cooling machines such as refrigerators are a necessity for everyone. Thermoelectric which has a Peltier effect can be used as an electronic component to cool objects. This research is an experimental research and the object of research is a mini-size refrigerator with thermoelectric. The purpose of this research is to analyse the performance coefficient of the mini refrigerator that has been made. The research method used is a literature study and data are taken by measuring the temperature produced from the refrigerator. The results obtained from this study are that the refrigerator can reduce the system room temperature from 28.5 °C to 13.6 13 within 10 minutes. In the next experiment with a time of one hour, the temperature in the system room was lowered to 7.7 °C. After measuring the outside temperature in the container (reservoir) and inside the refrigerator, the coefficient of performance is 0.3. The coefficient number is relatively low, because the higher the number obtained, the more efficient the refrigerator is made.
Digital calorimeter for measuring the specific heat of liquids
Authors: Azhar  , Melita A S , Doyan A , Susilawati  , Ayub S , Hudha L S
Published: January 2022

The purpose of developing this digital calorimeter is to make a temperature measuring device using Arduino Uno that can be used for physics practicum at the Physics Laboratory of the University of Mataram. This tool is designed according to the function of the calorimeter. Calorimeter is a tool used to determine the heat capacity, specific heat capacity, and latent heat capacity of an object or material. In making this digital calorimeter, the ds18b20 sensor is used to measure the temperature of the liquid, when the sensor is inserted into the calorimeter, it will be able to read the temperature rise that occurs in it. The graph is obtained from the relationship between time (t) and heat energy (Q), it can be seen that the longer the liquid is given electrical energy, the higher the heat generated.
The effectiveness of exposure to magnetic fields of extremely low frequency 300T and 500T in inhibiting the proliferation of pathogenic bacteria to increase physical resistance of vannamei shrimp
Authors: Sudarti  , Qumairoh U , Prihandono T
Published: January 2022

Vannamei shrimp is a type of fish that rots easily, only able to survive about 6 hours at room temperature. This study aims to examine the effectiveness of exposure to an Extremely Low Frequency (ELF) magnetic field with an intensity of 300 T and 500 T in inhibiting the proliferation of pathogenic bacteria to increase the physical resistance of white vaname shrimp. The research design used a completely randomized design and was carried out at the Physics Laboratory of the Faculty of Teacher Training and Education, University of Jember. The Extremely Low Frequency (ELF) magnetic field in this study is a component of the ELF electromagnetic wave generated by the Current Transformer by minimizing the exposure to the ELF electric field to about 30 V/m. The study sample was 210 fresh vaname shrimp and divided into 7 treatment groups, namely the control group (K), the group exposed to the ELF magnetic field intensity of 300 T for 60 minutes (E-300.60’), 90 minutes (E-300.90’), 120 minutes (E-300.120’), and the group exposed to an ELF magnetic field of 500 T intensity for 60 minutes (E-500.60’), 90 minutes (E-500.90’), 120 minutes (E-500,120’). As an indicator of vaname shrimp resistance at room temperature is the population of pathogenic bacteria, color, aroma, texture, mucus, and pH. The research data were analyzed using One Way Anova analysis. The results showed that the population of Salmonella bacteria was significantly lower than the control in the vannamei shrimp sample exposed to an ELF magnetic field of 500 T, but the population of E.Coli bacteria increased significantly in the vannamei shrimp sample exposed to an ELF magnetic field of 300 T and 500 T compared to control. Naturally, vaname shrimp stored at room temperature showed the appearance of the shrimp getting paler, and the texture getting softer, smelling rotten and slimy after the 6th hour. However, the color, smell, and texture of shrimp exposed to an ELF magnetic field of 500 T intensity for 120 minutes were able to survive at a score of 8 at the 5th hour observation and 7th at the 10th hour observation. Conclusion: Exposure to an ELF magnetic field with an intensity of 500 T was effective in suppressing the proliferation of salmonella Sp bacteria but was less effective in suppressing the proliferation of E.Coli bacteria. This condition affects the physical condition of white shrimp until it lasts at the 10th hour. The results of this study serve as the basis for developing food security technology by the ELF magnetic field.
CIPP vs kirkpatrick in the evaluation of physics teacher competency development programs: literature study
Authors: Muqorobin  , Komarudin  , Badrujaman A , Arthur R , Prayogi S
Published: January 2022

This study aims to systematically review and analyze the results of research on CIPP and kirkpatrick models in the evaluation of phisycs teacher competency development programs. This literature review is specifically intended to determine the advantages and disadvantages of both evaluation models in the implementation of program evaluation. The research method uses systematic studies through four stages, namely; identification, selection, feasibility and inclusion. Search articles using the Google Scholar, ERIC, Sciencedirect and SpringerLink databases. Based on the results of the study found 1115 research articles that discuss the use of CIPP and Kirkpatrick models in the evaluation of competency development programs. The articles are mostly published in the form of proceedings and international journals and research comes from several countries. The final results showed there were 18 studies discussing the use of CIPP and Kirkpatrick models to evaluate competency development and training programs. Recommendations of the results of the study, in order to be able to combine two models namely CIPP and Kirkpatrick as an alternative evaluation model, the goal is to get an overview of the results of the evaluation of phisycs teacher competency development programs more comprehensively especially in the program that contains training components.
Flipped classroom using e-module to improve understanding of light concepts: needs analysis of e-module development to empower scientific explanation
Authors: Cari  , Nasir M , Sunarno W , Rahmawati F
Published: January 2022

This study aims to determine the effectiveness of the flipped classroom using e- module to improve understanding of the light concept, analyze the trend of increasing student concept understanding, and analyze the weaknesses of e-module instructional activities. This research method is the concurrent embedded mix method. The research design is a one-group pretest-posttest design. The subjects involved 22 students of IAIN Palangka Raya and Hamzanwadi Selong University. The sample was selected by cluster random sampling. Quantitative data were collected using a two-tier test. Qualitative data were collected through interviews and observations. Quantitative data analysis technique using t-test. Qualitative data were analyzed descriptively qualitatively. The results showed that: 1) There was a significant increase in student’s conceptual understanding after the implementation of the flipped classroom using e-module, 2) The trend of increasing concept understanding in the low category was 18%, the medium category was 68%, and 14% in the high category, and 3) The weakness of this e-module is that there are no hand-on and scaffolding-oriented instructional activities to empower explanations. scientific in elaborating concepts.
Usage of e-portfolio as an assessment tool in physics learning
Authors: Sarwandi  , Wibawa Basuki , Wibawa Redisa
Published: January 2022

An e-portfolio is a digital data collection of trainees that can advance learning by providing a way to organize, archive, and display individual or group work. The purpose of writing this article is to explain the use of e-portfolios as an assessment tool in training activities. E-portfolio as an assessment tool is more effective than standardized assessment tests which are many and complex because they facilitate the learning process and assessment. The method used is a literature study. As a result, the e-portfolio assessment using the LMS device was used as a learning medium, especially to store all of the participants’ learning activities during the training. E-portfolio assessment can support the learning process well, because it can assess the data collection of the work of trainees during the training process, both cognitive, affective and psychomotor assessments.
Impact of The STEM approach with formative assessment in PjBL on students’ critical thinking skills
Authors: Parno  , Nur’aini D A , Kusairi S , Ali M
Published: January 2022

Critical thinking skills (CTS) are skills that need to be developed in the 21st century. However, building students’ CTS through a STEM approach with formative assessment in project-based learning (PjBL-STEM-AF) is rarely done. This study aims to investigate the impact of STEM-AF in PjBL in constructing students’ CTS in the topic of fluid statics. This study used a quasy experiment with a pretest-posttest control group design with students of class XI in Malang, Indonesia, as subjects. PjBL-STEM-AF model and the PjBL model was applied to the Experimental and Comparison classes, respectively. Students made two projects, namely a pressure element HARTL and a simple boat project. The research instrument was 9 essay items of critical thinking skills test with a reliability of 0.625. The data were analyzed by t-test, N-gain, and d-effect size. The results showed that the CTS in the Experimental class with a mean of 65.19 and an increase of 0.52 (medium) was significantly higher than the comparison class with 52.36 and 0.35 (medium). Experimental class’ students have different levels of improvement on the likelihood and uncertainty analysis indicator. However, the two classes had almost the same increase in the indicator of problem-solving and decision-making, and an increase in the low category on the hypothesis testing indicator. The value of effect size at 1.13 (Very Large category) suggests that PjBL-STEM-AF learning should be done more frequently in the field. The Experimental class students gave a more positive learning response than the Comparison class. It is recommended in future studies to add an “Art” aspect to the STEM approach to develop students’ CTS further.
The influence of causalitic-learning model on problem-solving ability in terms of students’ mastery of physics concepts
Authors: Rokhmat J , Hikmawati  , Kosim  , Wahyudi  , Sari Y
Published: January 2022

This study aims to investigate the effects of (a) the causalitic-learning Model (CLM) on (a) Problem-solving Abilities (PSA), (b) mastery of physics-concepts on PSA, and (c) the interaction between CLM and mastery physics-concepts on PSA. This research is a quasi- experimental design with an untreated control group design with a pre-test and post-test. The population is all students of class X Public Senior High School (PSHS) 1 Narmada, amounting to 396 people. Samples were taken using cluster random sampling technique and obtained students class X-1 as the experimental class (14 men and 16 women) and X-2 as the control class (9 men and 21 women). The data were collected using a PSA test and analyzed using parametric statistics two-way ANOVA test. With a significance of 0.05 and the criteria if the sig value <0.05 then Ha is accepted, it found that: (a) CLM affects PSA (sig. score = 0.02), (b) mastery physics-concepts affect PSA (sig. score = 0.007), but (c) there is no interaction effect between CLM and mastery physics-concepts on PSA (sig. score = 0.740).
Design and Development of Virtual Simulation Teaching Resources of “Safe Electricity” Based on Unity3D
Authors: Zheng Qing-Sheng , Li Ke
Published: January 2022

While electricity brings convenience to people’s production and life, it also has certain hazards. It is imperative to popularize common sense of safe electricity use. For non-electrical majors, offering electrical and electronic technology courses is one of the ways. Electrical and electronic technology is a technical basic course with high practical requirements. It is mainly taught through a combination of theory and experiment. However, in actual teaching, there are still some teaching contents that are not experimental and experience teaching difficulties, which give teachers and students brings teaching problems. This article takes the teaching content of “Safe Electricity” as an example. Explain the design, development and application of virtual simulation teaching resources. Experimental research results show that virtual simulation teaching resources play a positive role in improving the shortcomings of traditional teaching, promoting students’ interest in learning, and improving learners’ learning effects.
Discrete Population Competition Model of Poisonous Weed Invasion and Spatial Distribution
Authors: Liu Hua , Li Yexuan , Wei Yumei , Ming MA , Ma Gang
Published: January 2022

Poisonous weeds invade ecosystems and compete with edible forage grassland, changing the population spatial distribution. In this paper, a discrete population competition model for the interaction between poisonous weeds and edible forage grass is established, and a diffusion coefficient to describe the invasion and diffusion effect of poisonous weeds is introduced. By using cellular automata methods, the influence of invasive diffusion of poisonous weeds on the spatial distribution of poisonous weed and edible forage populations is simulated. These findings indicated that the invasion of poisonous weeds affected the ecological distribution of grassland, and that the spatial distribution of poisonous weeds also changed from initial uniform distribution to aggregated distribution.
Equivalences in Variables Refinement for Differential Semi-algebraic Hybrid Systems
Authors: Liu Bai , Wang Yitong , Nie Liming
Published: January 2022

Differential semi-algebra hybrid system is a new formalized hybrid system model; it is widely used in engineering technology. In this paper we proposed differential semi-algebraic event structure as the system model, and then build the variables refinement theory of differential semi-algebraic hybrid system. Based on the various equivalence relationship, we researched the keeping equivalence after variables refinement.
Analysis of COVID-19 Based on SEQR Dynamic Model in Xiaogan City, Hubei Province
Authors: Shen Jiayu , Zhang Jiehao , Wen Yongxian
Published: January 2022

In this study, we established a SEQR model for the spread of COVID-19. The impact of city lockdown measures and other factors on the spread of the epidemic was discussed in this paper through dynamic analysis and numerical simulation of the model. The research results showed that the input ratio of the exposed population should be controlled to at least 0.001 if the government wanted to effectively control the epidemic. Closing the city was the most effective way. The exposed population of COVID-19 in Xiaogan City was hoping to be cleared on February 29 under strict control. The closed city could be released around March 28. But at the same time, we should pay attention to prevent the virus from entering it again. The peak number of existing patients would reduce by about 1,400 if city lockdown measures were taken in Xiaogan City four days in advance.
Soliton Solutions of Kaup-Kupershimdt Equation Using HPTM
Authors: Chen Tiejun
Published: January 2022

In this paper, we employ the idea of homotopy perturbation transform method(HPTM), which is a combination of Laplace transformation and homotopy perturbation method(HPM) for solving nonlinear ordinary and partial differential equations. The equations are Laplace transformed and nonlinear terms are represented by He’s polynomials. The solutions are obtained in the series form which converges at fast rate with easily computable terms. Comparison of standard perturbation method shows that HPTM is appropriate even for system without any small/large parameters and therefore it can be applied more extensively than traditional perturbation techniques. HPTM is used to obtain soliton solution of Kaup-kupershimdt(KK) equation, which is modified form of fifth order KdV equation. Numerical results are presented in tabular form to show the accuracy, efficiency and reliability of this method.
Incentive and Game of Information Sharing Based on Blockchain Technology
Authors: Xin Yuhong , Ran Cheng , Liu Dehui
Published: January 2022

With the development of the information age, the efficiency of information resource sharing has not been fully released, and the willingness of participants to share information needs to be improved. It is of great significance to promote the willingness of participants to share information and increase the value of information utilization. Aiming at the problem of low information sharing rate of participants, this paper constructs an evolutionary game model between information sharing and non-sharing participants under the blockchain technology platform and introduces the critical value corresponding to the initial proportion of participants under the condition of a stable strategy as a trigger Conditions, dynamic adjustment of incentive coefficients to maintain a stable strategy of information sharing, simulation with MATLAB. Research shows that the use of blockchain smart contract technology to dynamically adjust the evolutionary stability strategy is shown as: When the initial proportion of participants is lower than the critical value, the incentive parameters are transformed into shared incentive benefits to motivate the participants to actively participate in information sharing; when it is higher than the critical value, the incentive parameters are transformed into sharing costs and dynamically adjusted to reach the initial participants. The proportion is maximized, which provides a strategy for participants to choose information-sharing strategies.
Underwater Sonar Image Segmentation by a Novel Joint Level Set Model
Authors: Wang Yue , Zhou Kefa , Tian Wei , Chen Zhe , Yang Dewei
Published: January 2022

This paper proposes a novel joint level set model for underwater sonar image segmentation. Combining features in points and regions in our novel joint level set (LS), it can achieve excellent performance for underwater sonar image segmentation. Regional information guides the model to locate the object of interest, whereas the point information accurately delineates contours. In addition, the unified Markov random field (UMRF) is taken to measure the neighboring relation between points and regions, which can overcome the problems of the high speckle noise, strong bias and low resolution of underwater sonar images. Our novel model can segment underwater sonar images into three partitions, such as the objects of interest, shadow and backgrounds. In contrast to current segmentation methods, outstanding results are demonstrated by our model. Moreover, another advantage of our model lies in its high efficiency.
Mechanical Analysis of Structural Damage Detection Device for Cylinder Tower
Authors: Wang Zhiyuan , Sun Changle , Wang Jian , Zhao Kang , Liu Tingrui
Published: January 2022

Wind turbines suffer from severe weather and complex environment for a long time, so wind turbine towers can cause structural damage. As an important part of wind turbine, tower damage detection is particularly important. In this study, a structural damage detection device for cylinder tower is introduced and its mechanical analysis is carried out. Due to the special structure design of the device, it has the characteristics of comprehensive detection, accuracy and efficiency.
Fault Diagnosis Method of Rotating Machinery Based on CEEMDAN-LSTM Model
Authors: Wang Peng , Zhou Yiren , Zhang Lan
Published: January 2022

To overcome the shortcomings of traditional feature extraction methods that rely on prior knowledge and expert experience in the field and the problems of shallow machine learning in fault diagnosis, such as inability to extract deep features, low accuracy of model recognition and poor generalization ability, a fault diagnosis method based on complete ensemble empirical mode decomposition with adaptive noise and long short-term memory (CEEMDAN-LSTM) model is proposed. Firstly, the original signal is decomposed by complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN); secondly, the temporal features of selected component signals are extracted by long short-term memory (LSTM); thirdly the temporal features of each component are concatenated into feature vectors according to the order of high and low frequencies; finally, the feature vectors are input into the softmax layer to get the fault classification category. The results of gear box fault diagnosis test show that the model can effectively identify the fault location. Compared with empirical mode decomposition and support vector machine (EMD-SVM) model and LSTM model, CEEMDAN-LSTM model can obtain the highest fault identification accuracy.
Measurement and Analysis Method of Light Intensity Distribution for Street Lamps
Authors: Du Wei , Cheng HaoJie , Wang Lin , Feng DiGuan , Wang XiaoKe
Published: January 2022

In order to evaluate the actual illumination effect of high-pressure sodium lamp on the road, a high-pressure sodium lamp illuminance test system is developed in this paper. In the testing of sodium lamp illumination, light intensity distribution is the most important evaluation index. It is also one of the most difficult physical parameters to test due to its large amount of data and high accuracy requirements. This thesis investigates a fast and high-precision testing method for light intensity distribution of high-pressure sodium lamps, so as to improve the measurement of sodium lighting. The system performs light intensity distribution testing in the laboratory, studies the test method of light intensity illuminance distribution of high-pressure sodium lamps, uses Matlab to optically model high-pressure sodium lamps, uses various methods to model the data obtained from the experiments, and analyzes the resulting illuminance data, the system is able to quickly test and evaluate the illuminance of high-pressure sodium lamps after installation.
Optimization Algorithm Design of Laser Marking Contour Extraction and Graphics Hatching Based on Image Processing Technology
Authors: Luo Haoyang , Luo Jun , Li Ruimin , Yu Meiqi
Published: January 2022

On the premise of solving the problem in a specific situation, this paper aims at the laser marking machine for the design and optimization of the outline extraction of the two-dimensional composite curve figure and the figure hatching scheme. The scanning line algorithm based on computer graphics and the polygon hatching are based on the algorithm theory. Based on the foundation, an improved polygon scan line algorithm model is established, and the contour extraction and graphic shadows of two-dimensional polygons are realized by MATLAB programming. The simulation results show that our algorithm model can meet our requirements well, and at the same time has a certain improvement effect. At the same time, compared with traditional two-dimensional polygon scanning and hatching algorithms, our algorithm model has strong analysis and processing capabilities and strong applicability. Compared with traditional two-dimensional polygon scanning and shading algorithms, model analysis can still run stably in a high refresh rate environment. We hope to further optimize the algorithm in the later stage, so that it can be better used in related engineering fields.
Solving Smallest Enclosing Circle Problem by Wading across Stream Algorithm
Authors: Gao Shang , Pan Hao
Published: January 2022

The feature of the smallest enclosing circle problem is analysed. According to idea of wading across the stream by feeling the way, a kind of fast efficient wading across stream optimization algorithm is put forward. For solving smallest enclosing circle problem, the improved wading across stream algorithm shrink the search space gradually. It is proved that wading across stream algorithm is a simple and effective algorithm.
Application of Improved Ant Colony Algorithm in Aerobat Structure Optimization
Authors: Jun Deng Jian , Tao Zhang Cheng , Wang Ning
Published: January 2022

This paper analysis the characteristics of two kinds of ant colony algorithm, some kind of aircraft structure dynamic optimization design model is established, based on the analysis of the model, two kinds of ant colony algorithm are combined with optimization calculation method respectively, the two kinds of ant colony algorithm is studied in the aircraft structure optimization design, the calculation results indicate that improved ant colony algorithm is scientific and feasible, it can effectively solve the optimization problems of aerobat and other structures.
Research on RCS Calculation for the Jet System of the Engine
Authors: Jiang Bingkun , Xu Liangfa
Published: January 2022

In order to improve the stealth ability of the jet system of the engine, RCS calculation had been achieved through three steps, which were preprocess, core calculation and reprocessing. Some engine set as reference, the RCS of tail jet pipes with difference shapes had been calculated. The results show that the plug type tail pipe can advance stealth capability of the jet system. The numerical examples indicated the RCS calculation could play notable function in stealth design and promotion of engines.
Variable Screening Optimization Algorithm for Mahalanobis-Taguchi System
Authors: Peng Xiaohong , Zheng Rui , Liu Jiufu
Published: January 2022

This paper proposes a Mahalanobis-Taguchi system variable screening optimization method based on binary quantum behavior particle swarm.The main procedures and methods are as follows, Firstly, the Mahalanobis distance value is calculated by the Gram-Schmidt orthogonalization method.We build the multi-objective mixed planning model. The binary quantum behavior particle swarm optimization algorithm is used to solve the optimal combination. A new prediction system based on Mahalanobis-Taguchi metric is established, and the task of accurate discrimination is accomplished.
HISAT2 Parallelization Method Based on Spark Cluster
Authors: Guo Jiannan , Gao Jing , Liu Zhenyu
Published: January 2022

Sequence alignment is one of the most important components in the Bioinformatics research field. It is of great significance to discover the functional structure and genetic information of nucleic acids and protein. With the rapid development and gradual maturity of high-throughput sequencing technology, the scale of gene data which have been discovered by that is going to increasingly large. Due to the gene sequence alignment calculation has high complexity and the sequencing gene data has large scale, the process of comparison computing will cause a plenty waste of computing time. HISAT2 is the one of most popular sequence comparison software. HISAT2 has better sensitivity and accuracy than other software, at the same time, the speed of process also has highly improved. According to those reasons, this passage implements the HISAT2 parallelization method based on Apache Spark cluster. Through the comparison experiment between single and cluster machine, the parallelization computing speed of HISAT2 parallelization method based on Spark cluster has increased obviously to 3.69 times, with the high rate of accuracy meanwhile.
Outlier Detection of Leaf Images Based on One-Class Support of Vector Machine
Authors: Yin Ming , Wang Liwei
Published: January 2022

In this paper, a novel approach was proposed to use the One Class Support Vector Machine (OCSVM). The growth status of fruit tree’s leaves reflects the health level of the plant. Using computer system to detect the abnormal condition of plant leaves will help producers take measures to maintain the health of plants. We focus on the outlier leaf images which are obviously different from with the health leaf. A modified One Class Support Vector Machine is presented as a very efficient method to detect the outlier data from massive data of the leaves image dataset. The results show it worked with the test dataset and with very good performance.
Machining Error Compensation Method for Thin Plate Parts Based on In-machine Measurement
Authors: Li Yuebo , Wang Aimin
Published: January 2022

Aiming at the problem of datum drift and dimension error compensation of machine tool in the machining process of plate parts.This paper presents a machining error compensation method for plate parts based on in-machine measurement.The parts are measured in situ in the clamping state by machine measuring equipment;The key features were reconstructed based on the measurement results, and the parts were divided into four quadrant regions, and the scaling errors of knife points in different quadrants were compensated according to different directions.Then, the reconstructed key feature model is discretized into point cloud data model.Based on binary tree and improved iterative nearest point algorithm, the margin optimization and datum correction rotation matrix and translation vector are obtained.The accuracy and quality of the machine tool are improved by adjusting the rotation matrix and translational vector according to the procedure of compensating the error of scaling.
Design of high precision angle measuring instrument based on Kalman filter
Authors: Guo Qing , Wang Xingjian , Xu Cuifeng
Published: January 2022

Angle parameters are common parameters in production and life. The main process is converting the inclination signal into other signals for measurement. In order to overcome the problems of low-cost, long-term, and high-precision angle detection that traditional angle measurement systems cannot solve, a high-precision, low-cost, and small-size angle measurement system is designed. The high-precision angle sensor signal used in this paper is based on MEMS angle sensor. The angle sensor has the characteristics of extremely low temperature dependence, low noise and high resolution. In terms of hardware, various methods are used on the circuit board to eliminate noise during signal transmission. These methods are used to improve the accuracy of the angle measurement system. The Kalman filter algorithm is used to filter out noise to reduce the influence of noise on high-precision angle signals in terms of software. Experiments on the system show that the accuracy of the angle measurement system reaches 0.0014°, which achieve the goal of system design, can solve the problem of long-term, high-precision angle measurement, and completes the system design.
Rotating Electromagnetic Actuator with Magnetic Fluid
Authors: Jin Sheng , Wang Xudong
Published: January 2022

Abstract:The performance of traditional electromagnetic actuator is limited by the high magnetoresistance of working air gap. Moreover, the working air gap decreases with the movement process, and the output of the actuator fluctuates greatly. In engineering, the driving force is generally improved by optimizing the structure or increasing the current, combined with the control method to reduce the fluctuation. In this paper, magnetic fluid is used to replace the air in the original working air gap, so as to improve the efficiency of magnetic circuit. While increasing the output, it also improves the output stability of the actuator. On the basis of establishing the mathematical model of the electromagnetic actuator, the response time is obtained through the dynamic equation. After adding the magnetic fluid, the driving force of the electromagnetic actuator increases greatly and the response time decreases.
Research on Modeling Technology of Aircraft Hydraulic System Based on AMESim
Authors: Yan Tanbao , Li Peng , Niu Wei
Published: January 2022

With the development of electro-hydraulic integration technology, the control accuracy, complexity and dynamic response characteristics of aircraft hydraulic system actions have become a hot topic in the field of hydraulics. The traditional hydraulic system design method mainly uses the designer’s knowledge and experience to construct a dynamic system with real components, and then tests on the system, this method is more difficult to adjust parameters. Therefore, taking the hydraulic system of an aircraft as an example, the simulation model of each component of the system is established by using modeling and simulation technology and graphical modeling method, so as to provide support for aircraft fault diagnosis and prediction.
Hardware Design of Online Monitoring Device for the High-voltage Vacuum Circuit Breaker
Authors: Yang Ze , Zhong Jianwei , Li Zhenwei , Wu Jianjun , Li Jiajun
Published: January 2022

In order to monitor the mechanical structure status of high-voltage vacuum circuit breakers in real time and diagnose faults online, a hardware design scheme of an online monitoring device for 10kV vacuum circuit breakers is proposed in this paper. From the perspective of practical application, this design scheme fully considers the practical working conditions of the monitoring device. The device not only monitors the mechanical vibration of the circuit breaker, the rotation stroke of the spindle and the position signal of the mechanical switch, but also monitors both the voltage and current of the opening (closing) coil, the energy storage motor and the closing lock coil. In this paper, in order to adapt the monitoring device to the actual application conditions, a modular design is adopted, the isolation and protection performance of the ports is strengthened and the integration degree of the device is increased.
A new online secondary path modeling method with white noise amplitude adjustment for excavator cab
Authors: Long Hongyue , Zhao Hongqiang , Liu Qiang
Published: January 2022

This article describes a new active noise control system to reduce the noise in the excavator cab. The noise in the excavator cab is mainly low-frequency noise. A digital signal processor (DSP) is selected to control the microphone and speaker for active noise control. In the traditional online secondary path modeling method, the amplitude of the white noise is fixed, and the amplitude of the white noise is still large after the modeling is completed, which will affect the reference microphone. In response to the above problems, I made improvements in the traditional algorithm and added a white noise amplitude adjustment module. After the iterative algorithm of the identification filter converges, the amplitude of the white noise is reduced. In addition, when the secondary path is disturbed, the amplitude of the white noise is increased in order to remodel the secondary path. That is to say, the white noise amplitude adjustment is based on the first-order forward difference of the square value of the error signal every 50 times. What’s more, the iterative algorithm of the control filter and the identification filter adopts the idea of variable step size, which can speed up the convergence of the algorithm. Finally, the feasibility of the algorithm is verified through matlab simulation and experiment. In the simulation, it can achieve a noise reduction of about 11dB. In the experiment, a noise reduction of 5dB can be achieved, and a noise reduction of 9dB can be achieved at the frequency with the largest noise amplitude. In a word, the proposed algorithm is superior to traditional online secondary path modeling algorithm.
Researches regarding the animal fats use at a truck diesel engine
Authors: Nicolici A , Pana C , Negurescu N , Cernat A , Lazaroiu G , Mihaescu L , Nutu C
Published: January 2022

The paper objectives answer to European Commission requires which decided for transport sector a 90% reduction of pollutants emissions till the year 2050. Alternative fuels like animal fats can represent a viable solution for diesel engines due to their good combustion properties, pollution reduction, and the possibility of raw state use in blends with diesel fuel or as biodiesel. A D2156 truck diesel engine is fueled with preheated raw animal fats, blend with diesel fuel in 5% and 10%. At the 55% engine load and 1450 rpm engine speed, for 10% animal fats-diesel fuel blend, the pollutant emissions levels decrease with 21% for NOx, with 50% for HC, with 66% for CO, with 30% for smoke due to the decrease of carbon content and increase of oxygen content. The CO2 emission level decrease by 14%. An important novelty aspect is a good correlation between engine running regime, diesel fuel, and animal fats cyclic dose, pollutants emissions level and exhaust gases temperature. The use of animal fats is a good opportunity to improve the environmental protection from pollutants emissions and greenhouse gases for diesel engines. The use of raw animal fats does not require significant changes to the diesel engine design.
Effect of injection system characteristics on performance, efficiency and emissions of agricultural tractor Diesel engines
Authors: Laurentiu Niculae Andrei , Chiriac Radu , Racovitza Alexandru , Ungureanu Vlad
Published: January 2022

The development and the control of Diesel engines combustion process are fundamentally influenced by the parameters of the injection system, namely by the fuel injection characteristic and the injection rate shape. This work comparatively evaluates, by numerical simulation the influences of the injection system characteristics on performance, efficiency, and emissions of two tractor engine types, with four and three cylinders, with similar energetic configuration and same piston displacement. Therefore, the simulation applied two AVL-BOOST computation models, each of them using the AVL-MCC combustion equations system, with the calibration of the models being based on experimental data obtained by testbed investigations. The corresponding specification of the injection systems, together with those of the fuel spray characteristics simulated by the AVL Hydsim tool and the appropriate injection parameters have been adapted for both engines. The results highlighted that for the 3-cylinders engine, presenting lesser total displacement compared to the 4-cylinders one, it is possible to achieve in the condition of similar performance per cylinder, higher efficiency and lower Soot emissions.
The effect of added ethanol to diesel fuel on performance and combustion of a Diesel engine
Authors: Benea B C
Published: January 2022

Diesel, as a fossil fuel, is widely used in industrial and agricultural fields. Added biofuels to fossil fuels affect the performance and combustion characteristics in the internal combustion engines. Ethanol is a renewable fuel, which is produced from plant, sugary and starchy biomass. Ethanol as an important additive to gasoline and diesel fuel can improve engine performance and reduce emissions. In this study, ethanol was added to pure diesel fuel with concentrations of 5, 8, 10, and 15%. The produced torque and power, brake thermal efficiency (BTE), and combustion were evaluated. The tests were made on a four cylinders CI engine at the six rotational speeds of 1200, 1700, 2200, 2700, 3200, and 3700 rpm, under full load mode. The results showed that the torque and power increase on average by 4.2% at fuel blend with a concentration of 8% ethanol (D92E8) as compared with those of pure diesel fuel. Although the power increases for the D92E8 fuel mixture, some irregularities are observed in the engine performance, and the engine runs more unevenly. Increasing the ethanol concentration by more than 8% in diesel increases the ignition delay and the engine runs erratically.