bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigation of Electrical Properties of TiO2 Nanocomposite Based Polymer
Authors: Ameer Ali Anis Akilah Binti , Ahmad Hafisoh , Yap Hoon , Bin Ismail Hafizul Azizi
Published: December 2021

Past research has reported the challenges regarding on degradation and aging due to high localization of electric field at triple point areas of polymeric insulator. The different materials and designs of polymeric insulator have initiated the partial discharge and arching activities which eventually lead to the insulation failures. The compounding of nanomaterials in the polymer shows a promising result to overcome this problem by redistributing the uniformity of electrical field lines on the insulator. In the present work, ethylene-propylene-diene rubber (EPDM) and titanium dioxide (TiO2) is introduced as nano composites that been embedded into insulator’s housing made of 1) silicone rubber (SiR) and 2) Ethylene Propylene Diene Monomer (EPDM) Rubber. Titanium dioxide (TiO2) is a semiconductor material that can be formed in different sizes either micron or nano-sized filler and has high relative permittivity that be able to reduce the high electrical stresses on high voltage equipment. Meanwhile EPDM shows good mechanical profile, excellent resistance properties and low cost. Therefore, it brings to the new opportunity to fabricate the nanocomposite based on both materials which exhibits an improved electrical properties and good distribution of electric field on polymeric outdoor insulators. In depth investigation was carried out to analyze the effect of different nano-filler loading in the compound and behavior of nanocomposites at different polymer base. An 11kV polymeric insulator is modelled to be simulated by using COMSOL Multiphysics software under dry-clean surface conditions to investigate the electric field distribution at terminal ends and along the insulator creepage path. The Electrostatics interface from the AC/DC Module is used in the evaluation of electric field distribution of insulator model correspondingly with the variations in filler percentage in the host matrix.
The influence of continuous and periodic microwave drying on rosemary: drying and temperature kinetics
Authors: Ali A , Chua B L , Chow Y H
Published: December 2021

Continuous microwave is a heavily studied drying method known for its effectiveness and efficiency, however, it leads to overheating in most cases. The primary objective of the present research is conducting and evaluating a comparative study of continuous and periodic microwave drying on rosemary for various power levels (6, 9 and 12 W/g) and different pulse ratios to overcome the overheating challenge. The evaluation and assessment were based on drying and temperature kinetics. Drying kinetic study revealed that periodic and continuous microwave drying at 12 W/g had the least drying duration of 12.5 and 11 mins, respectively. Likewise, both processes had the highest drying rates of 0.364 and 0.461 kg H2O/ kg dry basis min. The temperature kinetic study showed that the periodic microwave drying (71.4°C) resulted in a lower maximum sample temperature than continuous microwave drying (79.2°C). The periodic microwave drying with higher pulse ratios had a more even heating throughout the drying process than lower pulse ratios. Thereby, periodic microwave drying at 12 W/g and the highest pulse ratio was deemed to be the most suitable drying process for rosemary. The four thin layer models, namely Page, Modified Page, Midilli & Kucuk and Modified Midilli & others, were the most suitable to describe the drying kinetics of rosemary.
Analysis of fault patters based on erarthquake data on the land of Sumatera island
Authors: Basid A , Munir B
Published: December 2021

Geodynamics of Sumatra is interesting to study because of the unique geological setting Geodynamics of Sumatra is interesting to study because of the unique geological setting and high seismicity. This high seismicity is caused by the many faults found on land and in the surrounding waters. This paper presents the results of research that aims to determine fault patterns both on land and in the waters around Sumatra based on earthquake data from 1960-2000. The area under study is at the coordinates of 6°N - 6°S and 95°E - 109°E at an epicenter depth of <60 km with a magnitude between 4-10. The area is divided into two zones, namely the front arc and the Barisan arc. Data were obtained from ISC and Global CMT. By using the Focal Mechanism Method, the results show that the fault pattern in the Sumatran forearc Basin zone is dominated by an Reverse Fault located in the accretion zone while on the mainland of Sumatra it is dominated by Strike Slip along the Sumatran Fault System. By knowing the position and pattern of the fault, especially on the mainland of the island of Sumatra, it can be used as a reference for spatial planning. In addition, further studies will also be able to learn about the dangers or disasters caused by the fault pattern.
Development of Simple Teaching Aid on Resonance Topic Using Audacity Software as Learning Media
Authors: Nurmiati  , Safira N , Saehana S , Wahyono U
Published: December 2021

This study aims to develop a simple prop of resonance topic using audacity software. The research was conducted based on the model from Borg and Gall, which involved only five main steps: analyzing the developed product, developing the initial product, expert validation and revision, small-scale field trials and revisions, and large-scale trials and final products. The small-scale and large-scale feasibility tests were given to 29 students of SMAN 5 Palu Class XI IPA6. The product quality data obtained were analyzed using a descriptive analysis from quantitative data into qualitative, then the average quality score was processed using category criteria. In the analysis results, the overall average score of media experts is 2.97, categorized as “Good”. The overall average score from material experts was 3.33, categorized as “Very Good”. While the average analysis result of the overall small-scale trials was 3.35, categorized as “Very Good”, and the result of the overall large-scale trials was 3.39, categorized as “Very Good”. The overall average score obtained in the transformation in table 2 shows that the simple teaching aid on resonance topic using the Audacity software developed by the researcher was feasible to be used as a medium for learning physics in the classroom.
Refractor telescope design using web camera
Authors: Karaeng M A , Saehana S , Wahyono U
Published: December 2021

The purpose of this study was to develop a refractor telescope using a web camera as learning media. It was the Research and Development (R&D) study which referred to the model modified by Sugiyono. The product was evaluated by a media expert and undergraduate students of Sub-Department of Physics Education, Tadulako University using questionnaires with a 4-point Likert scale. The product quality data obtained were analyzed using descriptive analysis. The quality of the product based on the analysis of the media expert’s assessment was good with the average score of 2.92. Meanwhile, the results of student responses to the limited trial obtained a score of 3.20 which indicated the agreement of usability. The test results and questionnaire analysis showed that the refractor telescope using the developed Web Camera (WebCam) is feasible to be used as learning media.
Students’ understanding of electric fields in the context of multiple representation
Authors: Rizkiyanti N , Mansyur J
Published: December 2021

This study aims to describe physics students’ understanding of the concept of electric fields through a multi-representation review in a qualitative way. This research is a qualitative research using test and interview techniques to obtain the data. The research subjects consisted of 6 students from Physics Education department. The test used is an essay test which includes indicators of translation, interpretation and extrapolation on the concept of an electric field. The more in-depth interviews with respondents related to the concept of the electric field were carried out in this study. Based on data analysis, it can be concluded that students’ conceptual understanding is in the moderate category. The highest scores obtained are in translation, interpretation, and extrapolation respectively, which show that the level of indicator complexity affects student achievement. This research implies that the poor conceptual understanding of students on extrapolation indicators caused by the lack of creativity in students’ thinking in exploring the whole information presented on a particular issue. Thus, a learning method that priorities high-level critical thinking skills is extremely needed.
Students’ scientific representation enhancement through “ECRA” techniques in formative examination design
Authors: Rizal Khoo Linda Nurul Jannah Mohd , Abdul Rahman Nor Farahwahidah , Othman Salmah , Sobri Noraidah
Published: December 2021

The recent studies in science learning has a specific interest with 4C’s which are communication, collaboration, critical thinking and creativity. This study explored the students’ 4C’s as they engage with physics concepts relating to alternating currents. This engagement entails students’ interpretation for descriptive questions. Following action research cycle, the study begin with planning the intervention using “ECRA” technique and conducted the activities with 38 Matriculation College students. The analysis attempt to make a connection between students’ ability to construct representational aspects of scientific description with formative achievement. This study systematically describes students’ understanding on the representations signify in the descriptive questions. Data collected from this study were Work Report, review of answers tutor questions, and interviews during observation stage. The finding suggests that, the ECRA technique is enabling students to obtain higher percentage in formative assessment by allowing them to developed richer conceptual understanding. Hence this study suggest that the representational issues in physics questions constructed in essay can be moderated with ECRA technique.
Simple Harmonic Motion Electronic Teaching Materials Based on Authentic Learning to Train Students’ Problem-Solving Skills: Aspects of Validity
Authors: Saputri S R , Wati M , Misbah M
Published: December 2021

The absence of teaching materials that can train students’ problem-solving skills optimally is the background of this research. This study describes the validity of simple harmonic motion electronic teaching materials based on authentic learning to train students’ problem-solving skills. This research is development research with the ASSURE model that focuses on the Utilization of Instructional Materials stage. The instrument used is the validity sheet of electronic teaching materials. The validity of electronic teaching materials is viewed from the aspect of content, construct, and appearance. The validation of electronic teaching materials is carried out by three validators: two expert validators and one practitioner validator. The data analysis technique used descriptive statistics. The results showed that the validity of electronic teaching materials with an average score of 3.87 was categorized as good. It was concluded that the simple harmonic motion electronic teaching material based on authentic learning was declared valid to train students’ problem-solving skills. Furthermore, these electronic teaching materials can be used as teaching materials in the classroom to determine the practicality and effectiveness of the developed teaching materials.
Development of nano physics learning media (physics monopoly game) based on software
Authors: Hendri M , Jarnawi M
Published: December 2021

This study aims to develop NaNo Physics learning media (Physics Monopoly Game) on work and energy topic. The type this research was research and development (R&D) with the ADDIE model. Data were analysed using the descriptive statistical analysis. The results indicated that the physics monopoly was feasible to be used as a learning media. The overall results of the assessments of material and media experts, and students from individual trials, small group trials and field trials showed that they had met the eligibility requirements of the developed physics monopoly learning media. In addition, according to the field testing, the developed product can increase students’ learning motivation from an average score of 3.19 which was in the “enough” category and increased to 4.39 in the “very high” category.
Langmuir and Freundlich isotherm equation test on the adsorption process of Cu (II) metal ions by cassava peel waste (Manihot esculenta crantz)
Authors: Nuryanti S , Suherman  , Rahmawati S , Amalia M , Santoso T , Muhtar H
Published: December 2021

This Study aims to determine the adsorption process of Cu (II) metal by cassava peel waste (Manihot esculenta crantz) meeting the Langmuir equation and Freundlich. Research method cassava peel made into activated carbon, then determine the mass, pH and optimum contact time. Then the determination of the maximum adsorption capacity was carried out by testing with the Langmuir isotherm and Freundlich isotherm equations. The results showed that the best conditions (optimal conditions) were obtained with the addition of 0.5 grams of active carbs from cassava peels. The percentage of Cu ion adsorption in these conditions was 97.72%, at pH 6 and a contact time of 60 minutes and the absorption capacity was 98.49%. The maximum adsorption capacity of cassava peel activated carbon to Cu(II) ions at the optimum condition was determined based on the Langmuir and Freundlich isotherm equations. The results obtained were-51.813 mg/g and 26,792 mg/g, respectively.
Research on the Influence of Haze Weather on Audible Noise of HVDC Transmission Line
Authors: Zhang Qingxia , Wang Fengxin , Fang Jizhong , Wu Yang , Qian Yong
Published: December 2021

In order to study the influence of haze weather on audible noise of HVDC transmission line, a calculation model of ion flow field of HVDC transmission line considering the influence of haze is established, and then the relationship between different haze levels, different haze particle concentrations and audible noise is analyzed by taking the maximum potential gradient on the conductor surface as the intermediary. Then a ± 800kV DC transmission line is simulated and the results show that the audible noise will be more prominent with the increase of haze concentration, and the increment is more obvious at higher haze concentration; The charging of haze particles is the principal origin for the increase of audible noise, and the effect of PM2.5 is the most significant.
Fault Diagnosis of Permanent Magnet Synchronous Motor Inter Turn Short Circuit Based on Deep Reinforcement Learning
Authors: Li Fangli , Wang Yanbo , Xu Song , Li Yuanjiang
Published: December 2021

With the increasing market share of Permanent Magnet Synchronous Motor(PMSM), the fault diagnosis and prediction technology for PMSM is becoming increasingly important. Firstly, in order to solve the problem of insufficient fault sample data consisting of negative sequence current, electromagnetic torque and other inter turn short circuit fault feature terms, the Conditional Generation Adversarial Network(CGAN) is used to expand the data set. Then, with sufficient data, Dueling_DQN algorithm of deep reinforcement learning is used to train and optimize the extended data set. Finally, the effectiveness of the algorithm in the field of PMSM fault diagnosis is verified by simulation training. The results show that the fault diagnosis accuracy of the algorithm can be reached 97.5%, while improved the convergence speed and saved the time cost of fault diagnosis.
Study on Side Collision of Battery Boxes Based on HyperWorks
Authors: Qiao Weigao , Zhang Zhanxi , Lu Dong , Yu Lei
Published: December 2021

To effectively improve the safety of battery boxes in side collision of electric vehicles, two measures are proposed: Firstly spread the boss evenly around the battery box. Secondly the upper and lower parts of the battery box are matched with the convex heads and groove structure. The finite element models of the battery boxes before and after the optimization, the vehicle and the movable barrier are established in this paper. According to the collision regulations, the side collision simulation of the vehicle body is carried out. The changes of the stress, deformation and lateral acceleration of the battery boxes are analyzed. The effectiveness of the measures is verified. The extrusion models of the battery boxes are established. The deformation and the changes of the internal energy of the battery boxes are analyzed. The effectiveness of the measures is verified again.
Wireless Charging and Endurance Platform of Patrol UAV Based on Inductive Power Collection of Transmission Line
Authors: Wang Xinyi
Published: December 2021

This project designs a wireless charging and endurance platform for patrol UAV based on inductive power collection. The main function is to solve the problems of short dead time and continuous inspection of ordinary patrol UAV. The system is mainly composed of transmission line inductive energy taking coil, inductive power supply, energy storage battery module, wireless charging module, energy management module and patrol UAV with wireless charging function.
Research on reliability evaluation of complex distribution network considering N-1 verification
Authors: Yan Yuehao , Bao Wei , Gao Shuai , Wang Quan
Published: December 2021

With the rapid development of power system, the distribution network structure is gradually mature and the connection situation is more complex. The traditional distribution network reliability calculation method can not accurately calculate the reliability index of complex distribution network. Based on the traditional simple power supply reliability evaluation method of radial distribution network, this paper completely considers the influence of circuit breaker, tie switch, branch line, standby transformer and other equipment, and puts forward an improved network equivalence method model. The model first treats the complex distribution system in layers, and then gradually equates it into a simple radial distribution network to calculate the reliability of the system. At the same time, this paper analyzes the distribution network with multi connection structure in a provincial capital city. The results show that this model simplifies the complexity of distribution system reliability calculation, improves the accuracy and speed of reliability calculation, and more truly reflects the reliability of actual distribution system.
Research and Implementation of SCD Precision Decoupling in Intelligent Substation for Single Equipment Replacement
Authors: Wang Liang , Jiang Yulei , Feng Teng
Published: December 2021

In the process of reconstruction and expansion of intelligent substation, it is difficult to accurately define the influence scope of SCD file upgrade. In the wake of each modification of SCD file, all configuration information contained in SCD needs to be re-verified, which greatly increases the workload of debugging, operation and maintenance of intelligent substation. Via decoupling SCD files, the problems of modification and re-verification of SCD files in the reconstruction and expansion stage can be tackled. In this paper, SCD precision decoupling method for smart substation with single equipment replacement is proposed, which makes SCD decoupling work more detailed, adaptable to various expansion and technical transformation of substation. The decoupling of SCD is refined from logical structure to physical link level, and the decoupling range of SCD is precisely determined, so as to minimize the modification and reverification range of SCD files and reduce the change risk caused by SCD modification.
Research on LCL-type three-phase photovoltaic grid-connected inverter based on passive damping
Authors: Gu Yifeng , Xu Xianglian , Yin Xiaobei , He Yu
Published: December 2021

The traditional LCL filter has resonance phenomenon in the working process of three-phase photovoltaic grid-connected inverter system. Based on the analysis of the frequency characteristics of LCL filter equivalent circuit before and after the introduction of passive damping resistor, it is concluded that the resonance of the system can be suppressed after the introduction of passive damping resistor. In the meantime, the current double closed-loop control strategy used in the system is introduced in detail. Finally, the simulation model is built by Matlab/Simulink simulation platform to verify the feasibility of the research method of LCL-type three-phase photovoltaic grid-connected inverter based on passive damping.
Identification of low-voltage connection relation in distribution platform based on similarity of voltage curve and grey correlation degree of entropy weight
Authors: Yan Yuehao , Bao Wei , Li Lijiao , Wang Zongjie
Published: December 2021

The correct low-voltage connection relationship in distribution area is of great significance to the safe operation and efficient management of power grid. As there are many reconstruction projects in the low-voltage platform area, the assets change frequently, and the interconnection perception ability of the low-voltage platform area is weak, which brings great difficulties to the identification of the user connection relationship. Traditional identification methods are heavy and inefficient. This paper proposes a method based on trend similarity and distance measure to identify low-voltage connection relation in distribution platform area. Firstly, Pearson correlation coefficient and discrete Fréchet distance are calculated to measure the trend similarity of voltage curve, and abnormal users are found out. GIS is used to search for adjacent stations, and finally, the correct station area of users is determined by analyzing the entropy weight grey correlation degree. The applicability and correctness of the proposed algorithm are verified by the application results of an example.
Risk Assessment of Power Monitoring System Based on Fuzzy Analytical Hierarchy Process
Authors: Li Huifeng , Li Tiecheng , Yao Qigui , Li Weixun , Yang Libo , Sun Guanghui
Published: December 2021

The security threat of power monitoring system is increasing, it is valuable to carry out effective risk assessment, which helps to find the security threats of the system in time, then carry out security management and avoid disasters. This paper presents a risk assessment method of power monitoring system based on Fuzzy Analytic Hierarchy Process (FAHP) and CVSS. Firstly, Considering the structure and security requirements of power monitoring system, the analytic hierarchy process (AHP) model is established, and CVSS is used to quantify the evaluation indicators. Then, the fuzzy consistent judgment matrix is constructed by using the results of index quantification by using AHP and fuzzy comprehensive evaluation theory, and the power monitoring system is comprehensively evaluated from the bottom to the top. Finally, the risk evaluation value and safety level of the system are obtained. The example shows that the method can effectively overcome the difficulty of AHP in checking the consistency of judgment matrix, and can effectively quantify the system risk, and provide reference and basis for risk management decision-making of power monitoring system.
Positive sequence pilot impedance protection of AC tie line based on MMC-HVDC system
Authors: Yang Zhiyong , Yang Bingyuan
Published: December 2021

MMC-HVDC has the characteristics of limited amplitude, controlled phase angle and unequal positive and negative sequence impedance. Therefore, the fault characteristics of flexible direct system and AC power grid tie line are quite different from traditional synchronous power supply, which may affect the performance of AC power grid sudden variable protection. Therefore, a new AC protection method based on positive sequence current sudden variable impedance is proposed. The results show that when an in zone fault occurs, the direction of current sudden changes at both ends is the same, and the positive sequence impedance may approach the line impedance; When an out of area fault occurs, the current abrupt variables at both ends have opposite directions and equal sizes, and the positive sequence impedance is much greater than the line impedance. Based on the above characteristics, the criteria of fault start up and fault type are constructed. The simulation results show that the protection method can realize fault discrimination quickly and reliably.
Reliability Study of Important Cross-Over Transmission Line System Based on Series System
Authors: Zhu Dengjie , Liao Yongli , Li Hao , Tang Jie , Huang Zenghao , He Jinqiang , Huang Zhidu
Published: December 2021

Transmission lines inevitably cross railroads, highways, and other facilities, and in order to ensure the safety and reliability of the cross-crossing section, the influence of various random factors on important cross-crossing transmission lines needs to be fully considered. In this paper, the transmission line crossing section is treated as a tandem system according to the force transmission route, and the reliability calculation method of the cross-crossing transmission line system based on the tandem system is proposed. The reliability calculation method of each component and the reliability calculation method of the tandem system are given. Finally, an example of the reliability calculation of a 220kV cross-crossing transmission line system is given, and the results show that the cross-crossing section has the highest reliability of tower FSJ404, with a reliability index of 8.61, the second highest reliability of insulators, with a reliability index of 7.22, and the lowest reliability of tower FSJ302, with a reliability index of 4.28. The failure probability of the cross-crossing section is 0.000009245, and the reliability index is 4.28.
Research on UHV Isolating Switch Technology with Multi-source Action Signal
Authors: Wang Xingxing , Zhang Yujie , Ni Hongjun , Lv Shuaishuai , Zhu Yu , Yang Guosheng , Cai Weidong
Published: December 2021

With the improvement of the voltage level of power transmission and transformation lines, the development of smart grids has highlighted a major demand, and relevant enterprises and scientific researchers in the UHV field at home and abroad have explored the research of water intelligent isolation switch equipment. This article explains the current problems of traditional substation isolation switches, and analyzes the advantages and disadvantages of UHV isolation switch technology and its application status through three aspects: isolation switch, isolation switch contact and isolation switch sensor. Studies have shown that the development and application of isolating switches with multi-source action signals, and further improving the proportion and accuracy of smart devices to replace manual labor are the development trends of UHV isolating switches.
Characteristic Analysis and Experiment of a Flow Distribution Valve
Authors: Cai Peng , Li Bin , Peng Yunfei , Guo Song , Yu Jian , Cai Biaohua , Qin Ziming , Deng Peng
Published: December 2021

The comprehensive characteristics of flow distribution valve in water system are analyzed. The flow balance valve can change the drag efficient according to the condition of system, and can measure the flowrate. The structure of the flow distribution valve is introduced, and the theoretical calculation formula for the regulating valve are derived. A rated flowrate from 10.65m3/h to 20.48m3/h are offered in the numerical work. Fluent CFX analyses show good behaviours: through the benefits of V-ball valve good linearity and regulation characteristics, when the valve throttling, the system flow can maintain a relatively stable state, it can be conducived to improve the measurement accuracy of the distribution valve. The experimental results show that the measure accuracy is less than 5.8%.
Design of double ring lock ring in extensible frequency clock generator chip
Authors: Xu Chao , Xie Yumeng , Zhou Yuan
Published: December 2021

With the continuous development of computer technology and the continuous improvement of interface data rate, the clock frequency has reached the demand of several gigahertz, which makes the electromagnetic interference problem very serious. Spread spectrum clock is an effective method to reduce electromagnetic interference of digital chips. Therefore, this paper designs a double-loop phase-locked loop that can spread spectrum and has strong anti-electromagnetic noise interference ability. The designed dual-loop phase-locked loop can be used in the clock generator chip. The overall structure of the circuit consists of a main loop and a secondary loop. The main loop is an adjustable phase-locked loop circuit that can provide an output with a center frequency of 500MHz. The secondary loop can realize the spread spectrum function by charging and discharging the filter capacitor of the main loop loop, and at the same time, the spreading depth can be set by the feedback based on the frequency division. The dual-loop phase-locked loop designed in this paper has a good effect in spread spectrum and anti-electromagnetic interference noise.
Multi-objective Optimization of Turning Tool Geometric Parameters Based on Kriging Model
Authors: Sun Jianxiang , Xie Huan , Zeng Wei , Tong Yaoyao , Cai Zhenyu
Published: December 2021

Cutting performance parameters of turning tool in different geometric parameters are obtained using finite element model, and the Kriging models of cutting stress and temperature are constructed, taking the cutting performance parameters as training samples. The multi-objective optimization model of turning tool geometric parameters is established based on the constructed cutting performance Kriging models, in which the design variables are rake angle, relief angle and cutting-edge radius, the objective parameters are cutting stress and temperature. The multi-island genetic algorithm is used to obtain the optimum turning tool geometric parameters: rake angle γo is 10.59°, relief angle λs is 6.15°and cutting-edge radius γE
is 0.73mm. The simulation results after optimization demonstrate that the corresponding cutting temperature reduces 263.1°C, cutting stress drops by 550.8MPa.
Analysis of the advanced oxygenate water level control scheme of the engineering supercritical unit
Authors: Liu En ren , Li Jun , Gao Song , Meng Xiang rong , Shi Shuo , Yu Qingbin , Li Yuan yuan , Yan Qing
Published: December 2021

The oxygenate water level is an important adjustment parameter in the operation of the fire generator set, and the water level may result in the safety of the water pump. The high water level will not only affect the oxygen effect, but it is also possible to cause the water shot to the steam turbine to cause a water shot or give the water tank full water, oxygenate vibration, drain and vapor with water. When the load is low (generally 35% rated load), the oxygenate water level is controlled by large and small valve, condensate pump variable frequency control condensed water drum pressure. When the unit load is high (greater than 35 rated load), the oxygenate water level is controlled by the condensed water pump, the large valve and small valve controls condensed water drum pressure.
A Two-domain Data Hiding Scheme for Data Signature in Integrated Online Services Applications
Authors: Yang Wei , Zhang Caijun , Zhang Jinqiu , Xian Kaiqiang , Wu Qianjun , Wang Xiaolong
Published: December 2021

There is confidential data in integrated online services applications. The data needs to be hidden before transmission on the Internet, and the data authenticity should be assured. Information hiding technology is an effective way of protecting the confidential data and may be used for assuring data authenticity. A Two-domain data hiding scheme (TDHS) is introduced in the paper to protect contract document authenticity in grid system. TDHS aims to embed confidential data into signature image in both spatial and frequency domain. LSB-like algorithm is used to generate a signature image Hs
by embedding feature data of contract document into the original signature image H in the spatial domain. Then DCT algorithm is adopted to embed the watermark in signature image Hs
in the frequency domain, and generate signature image Hs
ready
. The signature image Hs
ready
is inserted into the contract document. When received the document with signature, the recipient can verify its authenticity. The feasibility of TDHS is verified through experiments.
Research on Comprehensive Evaluation Method of Transformer Noise Based on AHP Matter Element Model
Authors: Li Yong , Yin Laibin , Heng Ping
Published: December 2021

Aiming at the problem of transformer condition evaluation, a comprehensive evaluation system for transformer noise is constructed according to the mechanism of transformer noise generation and propagation. Using matter-element theory and AHP, a state analysis method for transformer noise evaluation based on AHP matter-element model is proposed. The case analysis proves that the method is feasible for non-contact evaluation of transformer faults, and can accurately evaluate the state of the transformer, providing guidance for the operation and maintenance of the transformer.
Image processing of Casting defects based on Convolutional neural network
Authors: Wei Bowen , Gao Weixin
Published: December 2021

At present, there are numerous losses caused by corrosion cracking of metal castings in engineering in China. In order to detect the possible defects of metal castings in engineering, the laser ultrasonic vision inspection technology is used to image the castings, and then the identification efficiency is low. In order to process these images efficiently and quickly, convolutional neural network image processing technology is introduced. According to the actual needs, a convolutional neural network architecture is designed to recognize images, and whether the architecture meets the requirements is verified. Experimental results show that the performance of the architecture meets the design requirements. Under the same conditions, this structure provides a solution for casting defect detection combined with artificial intelligence.
An Efficient Extreme-Exposure Image Fusion Method
Authors: Zhang Jiebin , Zeng Shangyou , Wang Ying , Wang Jinjin , Chen Hongyang
Published: December 2021

Since the existing commercial imaging equipment cannot meet the requirements of high dynamic range, multi-exposure image fusion is an economical and fast method to implement HDR. However, the existing multi-exposure image fusion algorithms have the problems of long fusion time and large data storage. We propose an extreme exposure image fusion method based on deep learning. In this method, two extreme exposure image sequences are sent to the network, channel and spatial attention mechanisms are introduced to automatically learn and optimize the weights, and the optimal fusion weights are output. In addition, the model in this paper adopts real-value training and makes the output closer to the real value through a new custom loss function. Experimental results show that this method is superior to existing methods in both objective and subjective aspects.
Construction Method of Swimming Pool Intelligent Assisted Drowning Detection Model Based on Computer Feature Pyramid Networks
Authors: Li Keshi
Published: December 2021

Swimming pool intelligent assisted drowning detection is an important research content in the field of drowning rescue. A large number of scholars track drowning targets in real time through underwater intelligent monitoring system, and use it to build a reliable swimming pool intelligent assisted drowning detection model to reduce the risk of drowning. For the complex underwater environment of the swimming pool, the previous detection model has been difficult to adapt to the practical demand. In this regard, based on the summary of the previous swimming pool intelligent assisted drowning detection models and the computer feature pyramid networks, the feature stratification of the swimming pool intelligent assisted drowning detection image is completed, and then the final swimming pool intelligent assisted drowning detection results are obtained through the YOLO principle. After analysis, it is confirmed that the accuracy rate of swimming pool intelligent assisted drowning detection of this method is significantly improved, which can provide effective data theoretical guidance for swimming pool intelligent assisted drowning rescue and has significant practical advantages.
Fault diagnosis of gearbox based on ant colony algorithm optimized support vector machine
Authors: Sun Shilin , Lu Renxiang
Published: December 2021

The kernel function parameter g and penalty factor c in Support Vector Machine (SVM) will have an important impact on the fault classification and performance of the support vector machine. Based on this, a fault analysis and diagnosis model using ant colony algorithm to optimize support vector machine is proposed to improve the accuracy of gearbox fault diagnosis. First, the collected original vibration signal is decomposed by EEMD to obtain the modal function component IMF, and then the energy entropy of the IMF component is calculated as the feature vector of the original vibration signal. Finally, the feature vector is input to the support vector optimized by the ant colony algorithm identify and classify in the machine, and finally get the diagnosis result. Comparing ACO-SVM with SVM, the experimental results prove that the ACO-SVM model has a higher fault diagnosis rate, stronger optimization ability, and faster convergence speed.
Numerical Simulation of Internal Flow Field in Turbo-Expander
Authors: Li Chaojie , Mao Yanqin , Wang Xiaoyue , Zhan Zhixing , Cai Liang
Published: December 2021

As everyone pays more attention to energy consumption, it is very meaningful to use natural gas pressure energy for power generation and turbo-expander is an important part of power generation devices. In this paper, the turbo-expander model for pressure energy generation is meshed and numerically simulated based on fluent, and the pressure distribution and velocity distribution in the turbo-expander are obtained. The volute profile is Archimedes spiral, and the impeller is modeled by cfturbo. The main conclusions are as follows: when the number of grids is more than 2.2 million, the simulation results are less affected by the number of grids. The internal basin of the turbo-expander has obvious pressure gradient and velocity gradient. Due to the negative pressure at the elbow of the inlet pipe of the centrifugal effect, the existence of the blade leads to the change of the flow direction. Different watershed planes have different pressure and velocity distributions. The velocity and pressure of the watershed plane near the impeller outlet and the volute outlet are often smaller, but the flow vortex is more intense.
Intelligent face recognition system based on OpenMV
Authors: Yan Yinxin , Yang Houcheng , Yu Zhangsi , Zhang Ning
Published: December 2021

With the rapid development of e-commerce in Internet technology, online shopping has become the mainstream shopping method accepted and favored by people. E-commerce and online shopping not only bring convenience to people’s life, but also aggravate the surge of express delivery. In order to improve the pick-up efficiency, this paper designs an intelligent pick-up express system based on OpenMV face recognition. The system takes STM32 single chip microcomputer as the core controller, and reads and transmits express information based on OpenMV face recognition; The trolley tracks and avoids obstacles independently, and takes parts according to the planned path of the system. Experiments show that the system can realize express automatic pick-up, and has a broad application prospect.
Improved Immune Genetic Algorithm to Optimize the Design of Wing Structure of Competition Aircraft
Authors: Feng Xi , Zhang Yafeng
Published: December 2021

An improved immune genetic algorithm is used to design and optimize the wing structure parameters of a competition aircraft. According to the requirements of aircraft design, multi-objective optimization index is established. On this basis, the basic steps of using immune algorithm to optimize the main design parameters of aircraft wing structure are proposed, and the optimization of the wing parameters of a competition aircraft is used as an example for simulation calculation. The design variables in the optimization are the size of the wing components, and the optimization goal is to minimize the weight of the wing and the maximum deformation of the wing structure. Research shows that compared with traditional optimization methods; the improved immune genetic algorithm is a very effective optimization method. At the same time, a prototype is made to check the validity and feasibility of the design. Flight test results show that the optimization method is very effective. Although the method is proposed for competition aircraft, it is also applicable to other types of aircraft.
Symplectic embeddings, homotopy algebras and almost Poisson gauge symmetry
Authors: Kupriyanov Vladislav G , Szabo Richard J
Published: December 2021

We formulate general definitions of semi-classical gauge transformations for noncommutative gauge theories in general backgrounds of string theory, and give novel explicit constructions using techniques based on symplectic embeddings of almost Poisson structures. In the absence of fluxes the gauge symmetries close a Poisson gauge algebra and their action is governed by a P
∞-algebra which we construct explicitly from the symplectic embedding. In curved backgrounds they close a field dependent gauge algebra governed by an L
∞-algebra which is not a P
∞-algebra. Our technique produces new all orders constructions which are significantly simpler compared to previous approaches, and we illustrate its applicability in several examples of interest in noncommutative field theory and gravity. We further show that our symplectic embeddings naturally define a P
∞-structure on the exterior algebra of differential forms on a generic almost Poisson manifold, which generalizes earlier constructions of differential graded Poisson algebras, and suggests a new approach to defining noncommutative gauge theories beyond the gauge sector and the semi-classical limit based on A
∞-algebras.
Monitoring of beef cold chain to ensure quality, safety, and halal using RFID: A review
Authors: Syahputri B E , Sucipto S
Published: December 2021

The traceability application by the industry to ensure products along the supply chain include quality, safe and halal. Traceability is an essential part of the cold chain system for meat and meat products. The cold chain of beef, including a slaughterhouse, distribution, and retail, needs to be monitored. The decline in the beef quality is marked by sensory changes such as color, unpleasant odor, and mucus formation triggered by bacterial growth. Beef quality is easily damaged during distribution due to the complexity and length of the cold chain. Consumers also pay attention to the halalness of beef in the supply chain. The implementation of Radio Frequency Identification (RFID) can monitor changes in quality and halalness of beef when distribution utilizes various sensor and product information tags. RFID requires a transponder to store and retrieve data remotely, an antenna for transponders, and a reader. This article reviews the RFID traceability system, the cold supply chain for beef, and RFID development to maintain beef quality, safety, and halalness. RFID technology helps producers and consumers to get quality, safe, and halal beef information in real-time.
Halal and safety traceability of material, production, and serving of local food in Surabaya: A review
Authors: Prayudanti A A , Sucipto S
Published: December 2021

Indonesia has a very diverse culinary consisting of a variety of local food. Although the production process using ingredients and seasonings is quite complex, the serving is simple and traditional. This simplicity often leads to low consumer’s and manufacturer’s awareness of its safety and halal guarantees thus making this phenomenon very feasible to discuss. This research aims to review halal and safety traceability of local food in Surabaya, namely rujak cingur, rawon (traditional black soup), and kupang lontong (lontong mussels). These foods are most sought after by tourists when visiting Surabaya. Halal traceability and safety are carried out on materials, production, and serving of the food. Traceability results show that most street vendors selling rujak cingur, rawon, and lontong mussels in Surabaya have not implemented halal and save food traceability. The risk of safety and halal of these local foods are quite large due to the lack of concern of consumers and producers to the importance of safety and halal in their product. In fact, the food that is a specialty of an area should get greater attention to ensure the safety and halal of the product. Increased awareness and practicality to trace ingredients, production, and serving are very important to ensure the safety and halal of ready-to-eat local food, thus supporting culinary tourism development.
Development of electrochemical sensors for detection of organophosphate pesticides in fruits and vegetables: A review
Authors: Rostiyanti H , Mubarok A Z
Published: December 2021

The use of pesticides for agricultural cultivation may prevent losses due to pest attacks, but excessive and uncontrolled use of pesticides may cause contamination of pesticide residues in the fruits and vegetables. Organophosphate pesticides are highly toxic and their residue in fruits and vegetables may cause neurological disorders in humans. Organophosphate residues may enter the body of animals and humans through oral routes or respiratory systems. Common analytical methods to detect organophosphate require complex sample preparation and sophisticated equipment. Electrochemical detection methods are an alternative in developing organophosphate detection methods in fruits and vegetables. This review provides an overview of the development and performance of electrochemical sensor technology to detect organophosphate residues in fruits and vegetables.
The effect of pre-drying treatments on the quality of dehydrated ground beef
Authors: Afifah N , Ratnawati L , Indrianti N , Sarifudin A
Published: December 2021

Dehydrated ground meat is widely used as an ingredient in various instant products. This study was aimed to investigate the effect of pre-drying treatments on the physicochemical properties of dehydrated ground beef. The experimental design used a completely randomized design of 3 x 3 factorial, with 3 grinding times (1, 3, and 5 minutes) and 3 cooking methods (steaming, pressure cooking/presto, and roasting). The beef was sliced, milled and cooked according to the treatments, frozen for 24 h, then dried by using an oven drier at a constant temperature of 60°C for 3 h, and finally powdered. The physicochemical properties of dried ground beef were determined including the yield, particle size distribution, rehydration ratio, hygroscopicity, color, moisture content, and fat content. Results showed that the presto method produced the highest moisture content of the cooked beef. Longer grinding time increased the particle passed mesh-6, rehydration ratio, and color, but decreased the final moisture content and fat content. Grinding time of 5 minutes with pressure cooking was selected as the best treatment to prepare dried ground meat. This treatment had a yield of 22.26%, moisture content of 3.38%, rehydration ratio of 3.25, the hygroscopicity of 6,13%, lightness of 53.62, value ‘a’ of 5.52, value ‘b’ of 10.21, and fat of 6.36%.