bluuebunny/crossref_metadata_2025 huggingface dataset:
Semi-Analytical Methods and Simulation for Temperature Distribution of Helium Purification System for Reaktor Daya Eksperimental
Authors: Setiawan Muksin Aji , Rosidi Ainur , Bakhri Syaiful
Published: February 2021

Reaktor Daya Eksperimental (RDE) or Indonesian Experimental Power Reactor has been started from 2014 in term of conceptual design. The reactor design as modified of HTR-10, it’s a High Temperature Gas-cooled Reactor. RDE using Pebble bed fuel type and will be built to 10 MWth and 3 MWe. In future usage, RDE would be uses as reactor model in Indonesia. It can be scale up to generate more power or it’s can be modified as small modular reactor to supply electricity for home consumption. In the end of 2018, the project targeted to be finish all detail engineering design. One of the system that design is helium purification system. The helium purification was important to reactor because it’s affect directly to cooling mechanism of the reactors. This research aim to simulate the temperature distribution on this system to make sure that there is no overheating in some part of system. The research will considering heat from system and environment. This research using analytical methods and matlab software to simulate the problem. Visualization of temperature change and distribution can be shown in function of time. The temperature set as factor to decide which material the best to uses in the future infrastructure of RDE.
Preliminary Development of Online Remote Multipurpose Reactor Monitoring System
Authors: Bakhri Syaiful , Yulanda Erik Agustian , Subekti Muhammad , Taryo Taswanda , Sunaryo Geni Rina , Segeng
Published: February 2021

RSG-GAS is the largest research reactor owned by Indonesia which has been operating for 31 years since August 18, 1987. RSG-GAS has employed the Simatic S7-400 Siemens PLC. However, the PLC system has not been optimized for remote online monitoring reactor purposes. Therefore this paper aims to design a wireless reactor monitoring system using LabVIEW. LabVIEW software is selected due to the flexibility and reliability for the software and hardware integration. Monitoring is carried out for the parameters of temperature, pressure and flow rate. The research covers the design interface on LabVIEW, wireless communication analysis, the verification process and validation of the monitoring system. The results obtained from this study are monitoring systems of RSG-GAS process diagram, verification of data communication and the analysis of the correctness the received data. The full paper will show that the RSG-GAS monitoring system using LabVIEW can applied in the RSG-GAS monitoring system.
Preliminary Development of the FPGA based Reactor Protection Systems for Reaktor Daya Eksperimental (RDE)
Authors: Bakhri Syaiful , Susilo Joko Tri , Maerani Restu , Sudarno  , Ardiyanto Doni Agus
Published: February 2021

The reactor protection system is a very vital and essential system to ensure the safe operation of the Reaktor Daya Eksperimental (RDE). The current reactor protection system mostly uses a lot of analog components. The analog system is more sensitive to the noise, and more expensive compared with the digital system. Therefore, this study aims to design and model the reactor protection system based on a digital platform using Field Programmable Gate Array (FPGA). The FPGA platform is selected because of the high reliability, easy for reprogrammed and having high loop rate execution. This research method covers the preliminary design of the reactor protection system using FPGA CompactRIO. The verification and validation are then employed to ensure the reliability of RPS. Furthermore, this system is tested with various postulated initiating event of the RDE’s design basic accident. The result of this research is that FPGA has excellent reliability and has a fast response. It can be concluded that the simulation of the reactor protection system using FPGA can be used in the reactor protection system after being verified and validated.
Natural Convection Flapper Valve Design for the Bandung Research Reactor Conversion
Authors: Sudjatmi K.A. , Kamajaya K. , Reinaldy N. , Fitriana Rian , Santiko T.S.
Published: February 2021

National Nuclear Energy Agency has planned to convert the Bandung TRIGA reactor by replacing the rod-type into plate-type fuel elements. The calculation results show that Bandung TRIGA Plate reactor with 2000 kW power requires forced convection cooling system. According to the calculation results using the Coolod-N2 computer program the minimum required cooling flow rate is 70 kg/s. Consequently, it is necessary to modify the reactor primary cooling system. In this modification required a flapper valve design that can a double function. The valve closed when the primary pump is powered and the flow rate on the primary coolant is 70 kg/s. However, when the pump is off because of the power outages and the reactor will scram, so the flapper valve will open. The residual heat in the reactor core will be cooled by natural convection. There is reversal flow from a downward to an upward cooling direction, and the upward natural convection heat removal throughout the flapper valve. In addition, the reactor also will scram if the cooling flow rate drops below 85% of 70 kg/s. The flapper valve is equipped with a ballast pendulum to open the flapper valve. The pendulum load must be greater than the flapper valve force plus the pump force due to forced flow. The flapper valve will open, if the flow rate is smaller than 85% of the required flow. Conversely, the flapper valve load must be smaller than the amount of flapper valve force and flow due to the pumps attractiveness, so that the flapper valve can be closed tightly and the reactor can operate with a forced convection flow. The design of natural convection flapper valve considers the following of a reliable, a work based on passive systems, a simple, an easy to make, an easy maintenance and it can be observed from the top of the reactor tank deck. As a redundancy, the operation of natural convection a flapper valve is added by mechanical operation, so the operation of the valve is truly reliable.
Microstructure and mechanical properties of flash butt welding joint of high nitrogen austenitic stainless steel
Authors: Yu Y , Ji Q J , Yang H F , Cui X J , Zhao H Y , Ding Y H
Published: February 2021

The microstructure and properties of high nitrogen stainless steel welded joints under different flash currents were studied by flash butt welding. The results show that, the flash welding parameters have obvious influence on the joint structure and mechanical properties. The joint is organized into symmetrical distribution, and the grains obtained in the interface area are small, mostly pearlite and ferrite. With the increase of flash current, grain coarsening in overheated zone (OZ) and welding zone (WZ) of joint, which was mainly attributed to the increase of welding heat input. Martensite exists on both sides of the weld, in which the hardness reaches the peak. The tensile strength of welded parts can reach up to 97% of the base material, and the fracture is in the form of ductile fracture.
Effect of epoxy emulsion on properties of ultra-high toughness cementitious composites
Authors: Zhou J W , Yu B Y , Gao Y X , Yang W , Cheng B J
Published: February 2021

The ultra-high toughness cementitious composites (UHTCC) was modified by different types of epoxy emulsion, the effect of the emulsion on working performance, mechanical properties and impermeability of UHTCC were studied. The result showed that compared with the control without epoxy emulsion, the type I and type II epoxy emulsion improved the working performance of UHTCC with low dosage. However, the type III epoxy emulsion exhibited an improvement effect on working performance of UHTCC only when the dosage was high. The addition of epoxy emulsion to UHTCC caused a decrease in compressive strength and flexural strength, but epoxy emulsion and hydration products formed an excellent energy absorption mechanism in the specimen and enhanced the elastic modulus of UHTCC. Type I and II epoxy emulsion had little effect on the tensile properties of UHTCC. Type III epoxy emulsion greatly increased the ultimate tensile strength of UHTCC, and the strain hardening phenomenon disappeared at low dosage level, however, the effect of strain hardening had been improved by increasing its dosage.
Effect of limestone powder on mechanical properties and microstructure of phosphogypsum
Authors: Ma P F , Li S , Cheng B J , Yu B Y , Gao Y X
Published: February 2021

In order to enhance the large-scale and high-quality application of limestone powder (LP) and phosphogypsum in the construction industry. Therefore, this paper mainly studies the effect of LP on the physical and mechanical properties of phosphogypsum-based composites, and clear the mechanism of action from the micro level. Based on the results, the conclusions were as follows: LP has the effect of reducing the standard consistency water requirement and shortening the setting time of fresh phosphogypsum-based composites slurry; LP can increase the bulk density and reduce 24-hour water absorption of hardened phosphogypsum-based composites matrix; In addition, the strength of the matrix increases first and then decreases with the increase in the amount of LP and the recommended amount of LP is 5%-10%. Microscopic tests have shown that when the amount of LP is less than 10%, it can effectively reduce the porosity, refine the pore size, and play the role of a dense hardened matrix. In addition, the appropriate amount of LP particles can be adsorbed on the surface of dihydrate crystals, increasing the bonding force between the crystals, which is conducive to increasing the strength of the composite matrix.
Stability analysis of H-section steel arch considering effect of welding residual stress
Authors: Chen S H , Chi M Z , Fu X M , Mao J W , Ju J S
Published: February 2021

The steel arches with weld H-shaped sections are frequently used in various engineering structures. The welding procedure will produce residual stress, which affects the stability of the arches. This paper presented a numerical model to explore the influence of welding residual stress on the stability behavior of the steel arch. Then, the buckling load and structural deformation of the steel arch under uniform load were obtained through the static analysis, and the stability performance of entire structure was discussed. Furthermore, in order to compare the mechanical properties of the arch simulated by different elements, the shell element and beam element were used respectively in the finite element modal to obtain ultimate bulking load of the structure with the same section. It is concluded that the existence of welding residual stress reduced the ultimate bearing capacity of steel arch under uniform load.
Estimating Al 1230 clad thicknesses over Al 2024 alloys using apparent eddy current conductivity measurements
Authors: Ansari Zain A , Abu-Nabah Bassam A , Alkhader Maen , Muhammed Adnan
Published: February 2021

The recent developments in apparent eddy current conductivity (AECC) spectroscopy have made it a viable candidate for clad thickness estimation where both clad and substrate are nonmagnetic metals. It negates the previous requirement of establishing a probe characteristic curve with a consistent lift-off distance between the measured sample and the calibration blocks. This eliminates the adverse effects in measurement uncertainty that occurred earlier due to liftoff variations. This study presents a practical approach for clad thickness estimation using AECC spectroscopy targeting clad thicknesses relevant to the industry. The technique once validated both numerically and experimentally has shown to deliver a measurement uncertainty of 3% over the entire coating thickness range of interest at a ±25.4μm lift-off range. Furthermore, it also reduces the coil diameter requirement to as low as 3 mm without the need of any correction factors.
The inverse design and optimization for composite materials with random uncertainty
Authors: Song S F , Wang Z Q , Cheng Y L
Published: February 2021

The inverse design is a contemporary novel modern design method and it can provide strong theoretical support for composite materials. The GMDH-NN and Kriging surrogate models are carried out to construct the transfer relations between input variables and output responses by combining finite element analysis and sensitivity analysis. In view of the objective existence of random uncertainties, structural mechanical behaviors of composite are considered as deterministic and uncertainty responses respectively, and then the corresponding optimization mathematical models are constructed. Meanwhile, genetic algorithm (GA) is employed to solve the presented inverse optimization design. Furthermore, several examples of laminated and 2D-woven composite materials are delivered to show that presented procedures are reliable and effective to obtain the dispersive of input parameters, which are of great significance in practical engineering.
Coupled thermomechanical analysis of stress distributions in a ceramic matrix composites turbine vane considering the anisotropic properties
Authors: Fang G W , Gao X G , Song Y D
Published: February 2021

The prediction of the stress distribution plays a key role when replacing conventional metallic components with ceramic matrix composites (CMCs) ones in the turbine engine. Furthermore, the complete thermal-mechanical properties of a CMCs component cannot be obtained through experimentation. Accordingly, a numerical method to calculate the thermal-mechanical properties of a CMCs component should be established. In this work, a 3D finite element model of CMCs turbine vane was applied. Then, the stresses due to thermal and pressure loads were simulated. Based on the simulation results, the maximum thermal residual stresses are about 40MPa and occur at the surface of the vane. It can be concluded that the thermal residual stresses should not be neglected for the studied CMCs turbine vane. The load cases have significant effects on the stress distributions. The maximum spanwise stress reached the level of 300MPa and it was larger than the hoop stress and through thickness stress. The locations of maximum and minimum stresses also vary with load cases.
Study on the modeling and application of arc structure’s profile tolerance
Authors: Yan Z H , Qiu N Y , Hu J C , Li X G
Published: February 2021

Profile tolerance can play a comprehensive control role, and then it can replace some other kinds of geometric tolerances, so it is widely used in practical engineering. However, there are few studies on profile tolerance modeling. There are only several papers in public, and the modeling methods in these papers all have certain deficiencies. In addition, the arc structure is much more used in practical engineering to deal with approximation of free-form surfaces, and the arc structure is often controlled by profile tolerance. Therefore, a modeling method specifically for the arc profile tolerance is given, and a tolerance analysis method including arc structure is given by combining the profile tolerance modeling method and Vector Loop and Monte Carlo method. Statistical distribution of each tolerance is included in the tolerance analysis method, and an example is given.
Shuffled Frog Leaping Algorithm Based Neural Network and Its Application in Big Data Set
Authors: Shan Wei , Cui Shaohua , Wang Jiangtao
Published: February 2021

This paper studies the random optimization algorithm to reorganize the leapfrog algorithm. The big data challenge requires an effective optimization algorithm to explore potential data structures using deep neural networks. At first, we introduce the neural network classifier and compare it with the support vector machine. Neural networks are suitable for large data sets and have the complex ability to extract high-level abstract data. And then we have to introduce a large dataset covering cancer data and voice data. Both datasets have large numbers of samples with complex low-level variance. At last we have to use the reorganized leapfrog algorithm to optimize neural network parameters. The random leapfrog algorithm is efficient and robust to a local minimum. The experimental results show that the algorithm has extensive application prospects and is suitable for the classification of big dataset. The neural network parameters can effectively optimized by the improved shuffled frog leaping algorithm.
A Hybrid Method of Cascaded Features for RGB-D Semantic Segmentation
Authors: Wang Chenxu , Jiao Jichao , Li Ning , Deng Zhongliang , Xu Wei
Published: February 2021

Fully Convolution Network and its following works has achieved the state-of-art performance on the task of RGB semantic segmentation. However, there still lacks an effective method to sufficiently leverage geometric information of depth image to accomplish RGB-D semantic segmentation. To this end, this paper proposed a new method containing two parts: 1) a simple but useful way based on Fast Marching Method to inpaint area of no-measured-depth pixels, which produces better result than standard dataset we used in this paper; 2) a new fusion architecture of CNN in which we fuse RGB and depth features in shallow layers to make geometry information from depth image a better assistant to RGB semantic segmentation. Besides, we add a feature filter architecture to help model choose the most discriminative features and punish useless or repeating features for better hierarchical expression. The original RGB image and inpainted depth image are fed into two feature extracting streams, one for each modality, and get fused in the fusion layer which is consecutively followed by deeper encoder network and decoder network. We evaluate our method on SUN RGB-D and NYUD dataset and experimental result shows that the proposed model has priority on RGB-D semantic segmentation.
Edge Detection Algorithm Used in a 3D Sketching & Photogrammetry System
Authors: He Jizheng
Published: February 2021

A clear 3D representation is vital to prototyping in design. 3D modeling is a popular approach to design structures in 3D, resulting in accurate models that can be viewed from multiple perspectives. However, 3D modeling is too costly and rigid for designers because it has a steep learning curve. Existing heavy-weight 3D software packages are usually not suitable for ideation. Therefore, we consider using sketches to convey ideas in 3D as a more natural way for prototyping. Even if most sketches are loose and 2D, people can still identify 3D structures from them. However, most sketching tools only support drawing in 2D, motivating us to find a solution to bridging 2D sketches and 3D structures. To fill the gap, we propose a 3D sketching system that facilitates sketch creation in 3D. Users can create a sketch in 3D and view it from multiple perspectives, without having to create multiple 2D sketches. This application also supports reconstructing a point cloud from images taken from existing structures. We designed a novel edge detection algorithm derived from the Hough transform to extract borders as strokes from a point cloud reconstructed from captured images. This includes fitting multiple planes to the point cloud and creating strokes by projecting points to the planes. We also present real-world use cases to evaluate our system. Our application allows designers to prototype more rapidly, opening a gate to more user-friendly ideation processes.
Sea surface wind speed retrieval and validation with future SWOT data
Authors: Wang Dan , Kong Xiaojuan , Cheng Pu , Wang Zhanju , Xu Chuandong
Published: February 2021

The paper focuses on the sea surface wind speed retrieval and validation using the future SWOT data. Ka band backscatter coefficient and wind speed were simulated by using theoretical model of Quasi-specular scatter and the simulated position of observation point. The Ka band model function of incident angles from 1° to 4° was proposed based the form of KuLMOD2. Wind speed was retrieved by using Ka band model function, and the results of validation show that the RMSE (Root Mean Squared Error) is 0.35. Therefore, the wind speed retrieval was validated with the ECMWF, which showed good coincidence. Ka band model function was proposed for applicable to the future SWOT data.
Research on Intelligent Identification Method for Access Equipment of Grid Information System
Authors: Wang Seng , Zhang LingHao , Zhang Jie , Tang Chao , Wang Hai
Published: February 2021

Establishing a controllable information network security access management mechanism is the key task of power supply enterprise management, and it is also a key link to ensure enterprise information network security. In this article, we use a technology to intelligently obtain information about access devices. This technology is based on active and passive information collection. At the same time, it uses device portrait technology to intelligently identify network topology, device type and device status. And use an intelligent access mechanism to improve the controllability of information network security access.
Security assessment of power data link based on dynamic weight change
Authors: Zhu Hongbin , ShuoCui  , Jin Ming , Jiang Lina , Huang Shasha , Zhang Yifan , Zhang Wenting
Published: February 2021

The Data link security assessment is to ensure the security of data transmission, data storage and data usage in the link. It is an important standard to reflect the safety of data link in time and accurately. We proposed a data link security assessment model based on dynamic weights. The model is evaluated from four aspects: intrusion detection, data content detection, data storage index detection, and data usage permission detection. For each aspect, we used the method of setting dynamic weights to score and evaluate. By setting dynamic weights, we can promptly reflect the potential safety hazards and remind the staff. At present, the security evaluation system for data links is not perfect. The model we proposed can evaluate and score from multiple aspects to reflect the security status of the link.
Name-based Approach to Identify Suspicious Return Statements
Authors: Li Guangjie , Tang Yi , Zhang Xiang , Yi Biyi
Published: February 2021

Identifier names account for 70 percent of source code in characters. Meaningful identifier names convey valuable natural language information of the corresponding software entities, and thus they can be exploited to analyse the program and comprehend the semantics of it. However, existing bug detection approaches often ignore such natural language information and semantics encoded in identifier names. To this end, we propose a name-based approach to identify suspicious return statements. The recent study suggests that source code elements are often lexically similar to their corresponding semantic related elements. Based on this assumption, we design a sequence of heuristic rules to determine whether the return statement of a given method matches the signature of it. Evaluations on 100 open-source Java projects suggest that the proposed approach detects 16 out of 60 real return bugs. The precision and recall of the proposed approach are 31% and 27%, respectively.
Forest Fire Compound Feature Monitoring Technology Based on Infrared and Visible Binocular Vision
Authors: Sun Fei , Yang Yangzhao , Lin Chuanwen , Liu Zhenhua , Chi Linghong
Published: February 2021

Forest fire prevention is the basic guarantee for building ecological civilization. At present, the main problems of forest fire monitoring based on video are that the algorithm recognition generality is not strong, the algorithm has poor real-time performance, and the rate of missing and false alarm is relatively high. In order to improve the fire recognition rate and real-time, in this project we intend to carry out the following research work: (1) using the ratio of infrared radiation energy of adjacent channels to determine the temperature of ignition point hidden under vegetation in forest areas, screening for the image feature processing of smoke flame in the later stage;(2) combining with infrared spectral feature analysis, the image color characteristics, area characteristics and roundness of forest smoke and flame are studied, and a multi-feature analysis algorithm is established;(3) to build a monitoring platform for forest fire detection based on infrared and visible binocular vision. According to the different characteristics of infrared and visible images, the multi-feature recognition algorithm of video images and the infrared spectral features are studied to detect whether the current monitoring area is abnormal in temperature, smoke or flame. Finally, the ground coordinates of current fire alarm are located by GIS map data, so as to realize the early automatic alarm display of fire situation. Therefore, the solution of forest fire compound feature recognition algorithm based on infrared and visible light can realize the early recognition of forest fire, reduce disaster loss, and help to promote the construction of ecological civilization in China.
Moan Noise Diagnosis and Research of Certain E-axle BUS
Authors: Wenhui Jin , Xin Deng , Longyang Duan , Chengping Zhong , Xianzhong Yu
Published: February 2021

As the mainstream power system of new energy commercial vehicles, the E-axle system directly drives the wheels. Since there is no suspension, the drive motor and reducer are directly assembled on the axle, connected to the body or frame through leaf springs and shock absorbers. Without the traditional engine noise masking, the NVH problem of E-axle poses a great challenge to NVH engineers. This article is aimed at the obvious Moan problem in a commercial passenger vehicle with E-axle under medium and high speed conditions, with the “source-path-response” theory used in analysis. Based on the investigation and analysis of test results and CAE methods, the main reason is that the imbalance excitation of the first axis of the E-axle is too large. By changing the speed ratio of the reducer, the first axis rotating speed of the E-axle corresponding to the same vehicle speed is reduced, then the high-speed Moan noise of this vehicle can get reduced.
An investigation on data switching technology in mode division multiplexing networks
Authors: Yang Beichang
Published: February 2021

With the rapid growth of people’s demand for communication speed and capacity, optical communication technology has developed vigorously with its advantages of high transmission rate, large capacity and low power consumption. In order to increase transmission capacity and bandwidth, multiple multiplexing technologies such as wavelength division multiplexing (WDM), time division multiplexing (TDM), polarization division multiplexing (PDM) have been widely studied. However, there is a capacity crisis in standard single-mode optical fibers. Mode division Multiplexing (MDM) technology is considered to be an effective way to solve the capacity crisis because it can keep the bandwidth of a single transceiver constant and effectively increase the total transmission capacity. Data exchange is an important function in optical communication system, which can effectively increase the flexibility of the network. However, the data exchange function in MDM system is rarely reported. In this paper, data exchange technologies in MDM networks are studied in detail, including OAM mode exchange based on optical devices and spatial light modulator (SLM), and TE mode exchange based on asymmetric directional coupler (ADC), micro-ring resonator (MRR) and Y-waveguides. The principles, advantages and disadvantages of each mode switching technology are analyzed and discussed in detail.
A Data-sharing Model Based on Blockchain for Power Grid Big Data
Authors: Zhang Xudong , Zhao Linlin , Gao Xiaoxin , Zhang Xu
Published: February 2021

In the existing smart grid, wireless sensor networks are widely deployed to monitor the entire grid’s status to ensure the safe, reliable, and efficient operation of the grid. However, due to the storage mode of the infinite sensor network perception data based on the trusted central node in the smart grid, the smart grid exists information security issues such as the central node’s vulnerability to malicious attacks and deliberate data tampering. In response to these information security issues, this paper proposes a data-sharing model based on blockchain technology and digital digest matching algorithm, which has the characteristics of decentralization, security and credibility, non-tampering, and protection of private data. The model uses the consortium blockchain technology to build a smart grid Data Storage Consortium Blockchain (DSCB). The data capability is taken as a unique token through the method of data capability to control the data access to achieve fine-grained access control with a resource as the unit. The capability update is convenient, and the capability withdrawal is supported to ensure the data security sharing between sensor nodes. Security analysis shows that the model can realize safe, effective, and privacy-protected data storage and sharing.
Research on Urban entity boundary and virtual boundary based on GIS——Taking Dujiangyan City as an example
Authors: Xiao Hai , Hu Binjun , Zheng Yuan
Published: February 2021

This paper uses the Point of Information (POI) point of interest and population distribution feature data in Dujiangyan City as the basic data, and uses spatial analysis methods, such as nuclear density analysis, contour analysis and standard deviation ellipse, to study the correlation between the entity and virtual boundaries of Dujiangyan. The results show that the urban entity and online activity intensity of Dujiangyan spreads around Xingfu, Guankou, and Puyang. The entity boundaries of the city and the virtual boundary in these three areas overlap basically, except for the city of Dujiangyan. The entity and online activities are not balanced in intensity, and there are obvious dividing lines in the area near Longchi. The entity and virtual boundaries of the city are quite different in Qingcheng Mountain and Juyuan.
Improved A-star algorithm for robot path planning in static environment
Authors: XiangRong Tang , Yukun Zhu , XinXin Jiang
Published: February 2021

A-star algorithm is a kind of simple path planning algorithm without solving the calculus, which has a high application. However, compared with other path planning algorithms, it occupies a large memory space. To solve this problem, this paper proposes three new concepts such as the bidirectional search, a guide line and a list of key points. A-star algorithm is optimized and rasterize on indoor environment modeling method, finally through the MATLAB simulation experiments prove that the optimized algorithm feasible experimental results show that the improved algorithm in target different under the two kinds of experiment are able to reduce memory footprint by more than 60%.
Design and Innovation of Asynchronous Serial Communication Interface Conversion System of Field Bus
Authors: Chen Ding
Published: February 2021

Since the traditional asynchronous serial communication interface conversion system has a series of problems in data reliability, CPU utilization and so on, this paper, starting from the design idea of fieldbus, uses CAN, PROFIBUS-DP, power conversion module, core control module and other software programs to study the conversion process, so as to innovate the conversion system and realize the reliability of data, which greatly improves the utilization rate of CPU.
Utilizing Energy Efficiency and QoS awareness for Receiver-Arbitrated and Sender-Predicted MAC Protocol in Wireless Sensor Network
Authors: Yang Huan , Bao Lingyan , Luo Jia , Deng Biao , Wang Hui
Published: February 2021

In this paper, we exploit energy-efficiency and QoS-awareness for receiver-arbitrated and sender-predicted MAC Protocol (EQAP-MAC) in wireless sensor network. EQAP-MAC improves the transmission concurrency by separating control stream from data stream; minimizes energy consumption by sender by predicting receiver’s wake-up time; supports priority-based QoS through priority-based data flow selected, arbitrated and interrupted mechanisms; reduces transmission interference between the nodes by interleaving neighbor nodes’ wake-up time; improves system throughput and reduces the data stream transmitting delay by pipelining mechanism and optimizing send sequence. We have implemented EQAP-MAC on TinyOS and evaluated its performance on testbed. The result shows EQAP-MAC achieves higher concurrent performance and priority-based QoS guarantee with lower energy consumption compared with RI-MAC and X-AMC.
A Dual-band uniform circular array for Generating vortex electromagnetic waves
Authors: Yang Cheng , Haitao Wang , Qin Fan , Liu Yi , Wan Cheng Tao
Published: February 2021

A novel dual-band uniform circular array (UCA) is presented to generate vortex electromagnetic waves. The proposed antenna is designed to operate in C- and X-bands with center frequency of 5.8 GHz and 10 GHz, respectively. To construct a shared-aperture structure, two UCAs operating in different frequencies are combined in a common aperture with different radius. Each UCA is composed of 8 antenna elements in the proposed design. The specific phase shifts for generating vortex waves are obtained by carefully designing the feed networks at the two working frequencies. One prototype is simulated, fabricated and measured to verify the concept. Good agreement between simulated results and measured results are obtained. +1 mode vortex beams are successfully penetrated with the gain of 12.3 dBi in the both C- and X-bands with good vortex phase fronts.
Development of Wheatstone bridge and Kelvin bridge Simulation Experiment System Based on LabVIEW
Authors: Tie-Zhu Yang , Xiao-Lei Lai , Qian-Xin Long
Published: February 2021

The method of circuit bridge for measuring resistance is one of the very important contents in experiment physics teaching. Taking DC bridge for example, by using LabVIEW through programming, CTL interface beautification, local variables and Property Node setting, the experiment of measuring resistance by DC bridge is simulated. In the process of development, the galvanometer current formula in the Wheatstone bridge and Kelvin bridge is unified, the calculation is carried out with matlab. The system realizes the whole process of experiment operation, processing and simulation of experimental data and expression of complete experimental results in the same simulation software.
Research on the optimization strategy of college sports placement based on deep neural network
Authors: Miao Ning , Wang Ying Xu , Zhang Shu Hua , Zhu Xiao Yong
Published: February 2021

College students are busy with their schoolwork and activities. They spend most of their spare time playing games and watching TV dramas and have little time to do physical exercise. Therefore, it is difficult for many college students to reach the standard in the physical education test, and the bodyside data is not well used. This paper uses the physical test data provided by the Physical Education Department of Zhujiang College of Tianjin University of Finance and Economics to classify and process the physical test data of colleges and universities DNN. A scientific physical education class allocation strategy is proposed to optimize the existing college physical education class allocation.
QT display interface design of new retail system based on computer vision
Authors: Wang Yali , Ma Jinghao , Zhang Xinke , Jiang Jun , Shen Ming
Published: February 2021

With the rapid development of science and technology, the application of computer vision is more and more widely, and there are great changes in all walks of life. New retail can rely on this advantage to improve the intelligent settlement of supermarket and reduce the workload of supermarket staff. In this paper, we use deep learning to train the goods that need to be settled, and identify the goods in the video during the settlement. At the settlement interface, Alipay two-dimensional code is generated to sweep the code for customers. QT is used to display the process of commodity identification and settlement.
Digitalization of the process of postoperative care for a patient on the example of hip replacement
Authors: Kaplunov O A , Frolov Yu , Orlova Y A , Zubkov A V , Sibirny N D
Published: February 2021

The work is devoted to the analysis and improvement of the existing business process of patient patronage during rehabilitation. The article analyses the existing software tools that are currently used in medical practice, and also identifies their shortcomings regarding the process of patient support during the rehabilitation period. A service that includes an app for the Android mobile operating system and a website was developed. The work describes the main functionality of this system, as well as shows the changes that occurred during the integration of the service into the existing process of patient patronage.
Biomaterial impedance model for medical risk classifiers in in vivo experiments
Authors: Miroshnikov A V , Shatalova O V , Zhilin V V
Published: February 2021

As a result of the study, fundamentally new results were obtained that allow creating intelligent decision support systems for the classification of medical risk. A bioimpedance analysis model has been created based on multifrequency bioimpedance measurement, which allows decomposition of the biomaterial impedance into structural elements. On the basis of the proposed model, descriptors were formed, intended for classifiers executed on trained neural networks. To obtain descriptors, multifrequency sounding of the biomaterial was carried out, on the basis of which Cole’s graphs were constructed. Using iterative algorithms and these graphs, Voit models of biomaterial impedance were obtained. The parameters of these models are used as descriptors for the trained classifiers. In modern healthcare, the task of long-term monitoring of a person’s condition is almost always associated with either his hospitalization, which is unacceptable both for the working-age population and in some cases for sick people, or with the rent of expensive monitoring systems for a period not exceeding, as a rule, 24 x hours, which is not always enough for diagnostic tasks.
Software and data visualization platform for groundwater level and quality monitoring system
Authors: Oppus C , Guzman M A L , Monje J C , Guico M L , Ngo G , Domingo A , Kwong J C , Retirado M G
Published: February 2021

Rapid urbanization and increasing population come with the increased extraction and use of groundwater resources. To track the effect of these activities on groundwater level and quantity, a system for real-time monitoring is devised. In this paper, we present a software system design that enables a locally-developed groundwater level and water quality monitoring hardware setup to gather water quality parameter data, send it to a cloud server, and present organized data for better visualization. The hardware setup consists of an Arduino microcontroller. Upon deployment, the hardware setup is linked to an Android application that connects to the web-based platform.
Two-Phase Fuzzy System for Multiple Hydro-Meteorological Spatial Risk Mapping in Surabaya, Indonesia
Authors: Prasetyaningrum I , Fariza A , Falah N D
Published: February 2021

Disaster in Indonesia is caused by hydro-meteorological factors dominate disasters in Indonesia every year. Surabaya is the capital of East Java, which has population growth problems and a high incidence of hydro-meteorological disasters. Surabaya has a high vulnerability to floods, drought, and strong winds. The mapping of the risk of hydrometeorological hazards in cities with rapidly growing populations is used as a guide for preventive measures. The map can provide information on disaster risk which consists of 3 aspects, they are a hazard, vulnerability, and capacity. A multi-disaster map is needed because it provides a complete picture of the potential and history of disasters in an area. The hydro-meteorological multi-disaster map can be used by policymakers to weigh benefits or risks and to resolve contingent disasters. In this study, we proposed a multiple hydro-meteorological spatial risk mapping in Surabaya city using a two-phase Fuzzy system. The first phase assesses the risk of each flood, drought, and wind disaster in each sub-district based on multi-criteria, such as hazard, vulnerability, and capacity. The second phase calculates the risk assessment of the three disasters and divides it into three levels of risk, consist of the low, medium, and high for each sub-district. In 2014 and 2015, there are 16.1% of low risk, 77.4% of medium risk, and 6.5% high risk sub-districts for multiple hydro-meteorological risk assessments. The results of the analysis show that there are three districts in the city of Surabaya that are at high risk of hydro-meteorological disasters, consisting of Tambaksari, Wonokromo, and Sawahan.
Production of Briquettes to Utilize Woody Cutting Waste at Universitas Internasional Semen Indonesia (UISI)
Authors: Arifianti Q A M O , Rahmat A , Anggarini U , Nugrahani E F , Ummatin K K
Published: February 2021

Universitas Internasional Semen Indonesia (UISI) disposes abundant amount of woody waste, such as leaves, twigs, and brunches from the pruning of woody plants. The aim of this research is to convert of this waste into combustible biomass briquettes by varying the particle size and binder ratio. A hydraulic press with 2 tons power and a cylindrical iron mold with diameter of 3.5 cm and height of 3 cm were used for the briquetting process. The physical characteristics of woody waste briquette, such as moisture content, ash content, volatile matter and carbon fix were evaluated using proximate analysis. The caloric value of briquetted fuel was measured by bomb calorimeter. The combustion test was conducted to determine the combustion characteristic of briquettes. The general result shows that the caloric value of developed briquettes was between 3402 and 3630 kcal/kg. The moisture content of briquette ranged from 1.080-1.16 %. Volatile matter was found in the range of 22.2 to 39.4 %. Ash content was 31.2-35.9 %, and carbon fix was 23.54-45.52%. The shortest ignition time was 229 s. The longest burning time was 78 minutes. Based on TG/DTA results, woody waste briquette decomposition occurred from 49°C to 801°C.
Malaria Detection Using Local Composition Pattern
Authors: Ovi J A , Haque M E , Kalam A , Jarin S A , Ali M S , Hasan M
Published: February 2021

Malaria is a major global health problem. Every year thousands of people have been died because of this harmful disease. It is a life-threatening disease that is triggered by the “night-biting” mosquitoes known as the Anopheles mosquitoes. They normally bite at day time. In this paper, to detect malaria parasite in the bloodstream, an image processing algorithm has been developed. Our proposed approach can classify malaria-infected images from patient’s blood samples by extracting red blood cells (RBCs) from the images. Malaria detection using Local Composite Pattern (LBP) outperforms in comparison with the existing traditional approaches.
Prediction Modelling of COVID-19 Outbreak in Indonesia using a Logistic Regression Model
Authors: Wibowo F W , Wihayati
Published: February 2021

The COVID-19 outbreak has changed the world at large since it was announced by the World Health Organization (WHO). Many policies in various countries were then implemented to control its spread. Most aspects of human life and the environment are affected by this pandemic. This paper aims to determine the prediction model for the COVID-19 outbreak in Indonesia. The approach used for this modelling employs a logistic regression model. The data modeled in this paper is data on the distribution of COVID-19 sufferers and data on patients who have recovered from COVID-19 in Indonesia. The data obtained as research material were taken from March 2, 2020, to November 12, 2020. From the results of this paper, this prediction model obtained logistic regression coefficient values for data on COVID-19 sufferers in Indonesia of 8.114748 and 0.750743, while the coefficient values for data on sufferers who recovered from COVID-19 were 9.360925 and 0.788334. The results of the prediction model for sufferers and people who have recovered from COVID-19 have the same accuracy value, namely mean absolute error (MAE) of 0.02, mean square error (MSE) of 0.00, and R2 of 0.99.
Dynamic modeling and simulation of the rooftop PV system for the First Passive House in Newfoundland
Authors: Manzoor S , Iqbal M T
Published: February 2021

This paper presents the design and modelling of a photovoltaic (PV) system for the first house in Newfoundland built under the guidelines of the Passive House Institute United States (PHIUS+2015). The proposed PV system is optimized with the use of HomerPro software to get 9.75kW of PV panels with a battery storage system. Detailed modelling of the system is finally completed in MATLAB/Simulink with the implementation of a charge controller, MPPT controller, and 8kW of single-phase DC to AC converter. The simulation results show the stability of the system and the advantage of the Grid-connected PV system with a battery backup. System design, detailed modelling and some simulation results are included in the paper. Finally, the cost of the designed system has been compared with the electricity bills considering saving and using Homer optimized results; the feasibility of the proposed system is presented.
Methodology to evaluate the effectiveness of opening a local route as a solution to Bottleneck congestion
Authors: Gutierrez V , Gutarra A , Bravo A
Published: February 2021

The phenomenon of vehicle congestion “Bottleneck”, is a problem that exists in every city focus of trade. The continued increase in vehicle demand is an immediate factor in the emergence of this phenomenon, especially in connections between states. This phenomenon of vehicle congestion may be due to inefficient track design, poorly programmed traffic lights, tight bends and vehicle accidents. The most effective solution for placating this phenomenon is the opening of new parallel collecting or local routes, in order to redistribute the vehicular flow of a pathway affected by the Bottleneck phenomenon. In this research, it was taken as a case of studying an intersection formed by an arterial pathway and a collecting pathway. This crossing is already saturated and without the possibility of increasing lanes, so it was feasible to open a parallel local track through a geometric redesign modelled in Synchro 10.0 software, with the purpose of redistributing the vehicle flow of the congested manifold, without impairing the quality of the transfer of nearby users and intersections. Critical ratio results “v / c” lower than 0.85 were obtained, which is synonymous with admissible capacities according to the criteria of states of the HCM 2010.