bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preliminary Study of DLOFC Accident in HTGR using GRSAC
Authors: Husnayani Ihda , Kuntjoro Sri , Setiawan M.Budi , Udiyani P.Made 
Published: February 2021

Abstract
High Temperature Gas-cooled Reactor (HTGR) is one of the Generation-IV reactors that has many advantages and very promising to be utilized in the future. National Nuclear Energy Agency of Indonesia (BATAN) has a program to build a non-commercial power reactor (RDE) that will be based on the pebble-bed type of HTGR. To support this program, the research and development activities in HTGR have been conducting recently. One of the important aspects to be studied is accident analysis to assess the behavior of HTGR during the accident and to anticipate the consequences that might be caused. The purpose of this work is to study the Depressurized Loss of Force Coolant (DLOFC) accident on HTGR by using Graphite Reactor Severe Accident Code (GRSAC). The type of HTGR used as a case study is PBMR-400. This work was begun with the preparation of GRSAC input for reactor parameter including reactor design, core layout design, primary cooling loop design, graphite properties and material properties, cavity design, vessel design, and fission product release. It was assumed that there is an initial event that causes the reactor depressurization and the coolant loss during the time range of 13 seconds. During this time, the reactor pressure dropped from 91.75 kg/cm2 to 1.05 kg/cm2 and the coolant flow reduced from 192.53 kg/s to 0.29 kg/s. Two types of DLOFC event were studied which are DLOFC with scram and DLOFC without scram. The behavior of the fuel temperature was then analyzed during the time range of 100 hours after the DLOFC accident. It was obtained that the maximum fuel temperature was reached at the time of 60 hours after the accident. The maximum temperature after the DLOFC with and without scram accident is 1545oC and 1740oC, respectively. The results of this work were also compared to the results of benchmark work on PBMR-400 conducted by American Nuclear Society and it showed a good comparison. At the end, this work will be very beneficial to be implemented in the RDE program.
Performance Analysis Of The Helium Purification System In The Indonesia Experimental Power Reactor
Authors: Irianto Ign. Djoko , Sriyono  , Bakhri Syaiful , Dibyo Sukmanto , Kusumastuti Rahayu , Kadarno Purwo 
Published: February 2021

Abstract
Indonesia’s experimental power reactor (RDE) is a reactor design based on the high-temperature gas-cooled reactor (HTGR) technology with the power of 10 MWth. According to the reactor safety, helium gas as the primary coolant has to be purified to assure the thermal characteristic. There are several stages of the purification process in the helium purification system (HPS). One stage in the train of HPS for removing N2 and O2 gas from the primary coolant system is the cryogenic unit. The cryogenic unit operates in the temperature about - 196 C. The objective of the research is to analyze the cryogenic unit performance in the helium purification system for removing N2 and O2 gas from the primary coolant system in the design of RDE. The performance analysis has been done by simulation using ChemCAD with variations in mass flowrate in the helium purification system and variations in the concentration of N2 and O2 gas in the helium coolant. The pressure in the cryogenic unit and all units of HPS is set in the same pressure of the primary coolant system is 3 MPa. The result showed that helium can be purified from the impurities N2 and O2 gas about 99 % at the mass flow rate of 0.45 kg/s. This result is important to support the design of HPS for RDE.
Forced Convection Heat Transfer of Zirconia-water Nanofluid in Vertical Triangular Sub-channel
Authors: Kamajaya Ketut , Umar Efrizon , Kustituantini Sudjatmi 
Published: February 2021

Abstract
Recently, the researchers in nuclear technology are thinking about the use of nanofluid as an alternative cooler, besides using the base-fluids or water and gas. The idea of using nanofluid is already being considered to be applied in nuclear power plants in the future. This nanofluid is expected to be applied in cooling systems, both primary cooling systems and emergency core cooling systems. Therefore, this study was conducted to determine the characteristics of the thermo-physical properties of ZrO2-water nanofluid in the forced convection flow. Recent studies showed that ZrO2-water nanofluid has a good prospect to be used in the nuclear reactor technology due to its low neutron absorption cross section. Although several papers have reported the physical properties of ZrO2-water nanofluid, practically there is no correlation equation for predicting forced convection heat transfer in a vertical triangular sub-channel in ZrO2-water nanofluid. This experiment used ZrO2–water nanofluid at a constant nanofluid concentration of 0.10 wt.%. The results showed that the average increase in ZrO2-water nanofluid heat transfer coefficient was greater than 20% compared to the base-fluids or water heat transfer coefficient as coolant. It is expected that this nanofluid will support the current trend especially in cooling system applications.
Effects of solid waste on the mechanical properties and hydration products of cement mortar
Authors: Guo Z H , Zhu X L , Yang W , Gao Y X 
Published: February 2021

Abstract
The existence of a large number of solid wastes has caused great pollution to the environment. In this study, different solid waste such as steel slag, water-quenched manganese slag, red mud and coal gangue was used in cement mortar, and the mechanical properties and hydration products were studied. Results showed that water-quenched manganese slag and high-calcium coal gangue after spontaneous combustion showed higher activity. Coal gangue has the highest activity of 102% and red mud has the lowest activity of 69%. Both steel slag and manganese slag added samples showed higher strength than that of manganese slag and steel slag separately added samples. The composite admixture of steel slag, manganese slag, red mud and coal gangue showed the highest strength at 7%, 8%, 8%, 7% and 7%, 12%, 4%, and 7%, respectively.
Eutectic fracture model and damage localization band of composite ceramics with reinforced lamellae
Authors: Yu J F , Ni X H , Liu X Q , Cheng Z G 
Published: February 2021

Abstract
The two-scale cell model is constructed based on the microstructure of composite ceramics with reinforced lamellae eutectic. The cohesive bond fracture stress between the matrix and reinforced phase is obtained considering the conditions of the rupture of the cohesive bond. The microcosmic damage fracture stress is obtained through introducing the damage variables and the cohesive bond fracture stress. The analytic results agree well with the experimental ones. According the Dugdale-Barenblatt model and regarding the microcosmic damage fracture stress of eutectic as residual intensity, the damage localization band model at crack tip is built. Quantitative analysis show that when the damage variable is high, the length of the damage localization band increases with the volume fraction of the reinforced lamellae increasing. The increases volume fraction of the lamellae leads to the declining residual intensity and the break of the strong binding force of the interphase. Reducing the material damage and selecting suitable volume fraction of reinforced lamellae phase can increase the fracture stress of eutectic and reduce the length of damage zone. So that the threshold of crack propagation and enhance the material strength would become high.
Influence of different materials of electric vehicle body on low frequency electromagnetic exposure for driver
Authors: Dong X W , Lu M 
Published: February 2021

Abstract
For electric vehicles(EVs), in addition to the power system is its core technology, the use of the new body materials with stronger hardness, lighter weight and better shielding performance is also one of the important issues concerned by the EVs industry. The distribution of induction field in the trunk and the central nervous system (CNS) of the driver’s is studied with the vehicle body materials are aluminum alloy, non-magnetic steel, metal X and permalloy. The results show that the maximum values of induced electric field intensity(E-field) and induced current density(J-field) in the driver’s trunk only reach 2.27% and 67% of the International Commission on Non-Ionizing Radiation Protection(ICNIRP) limits respectively, and the maximum values of E-field and J-field in the driver’s CNS only reach 0.29% and 0.62% of the ICNIRP limits respectively. So, the electromagnetic exposure levels of the driver’s body are within the safe range in this situation. In short, the EVs body material with the higher resistivity and relative permeability would make the electromagnetic exposure level for the driver’s body in a much lower level, and it is also much safer for the driver’s body from the perspective of electromagnetic dosimetry.
Preference of Corporate Charitable Donation Field Based on AHP-Topsis Model
Authors: Zhixiang Gu 
Published: February 2021

Abstract
According to the characteristics of corporate charitable donation behavior, the evaluation system of charitable donation field is established from the donation field and corporate business relevance, the social media attention, the number of potential customers and the willingness of leaders and employees. The weight of each evaluation index is determined by Analytic Hierarchy Process (AHP), and then the preferential model of corporate charitable donation field is established by combining Technique for Order Preference by Similarity to an Ideal Solution (Topsis). Finally, the AHP-Topsis model is used to compare and select the six fields to which a green technology real estate company may make donations. According to the results, the comprehensive superiority in the field of ecological environment is the best, up to 76.9%. The evaluation results match the actual corporate donation field, and the model can be applied to the preference decision in the corporate charitable donation field.
Photoluminescence enhancement of CsPbBr3 quantum dots on Au island fiber film surface for optical communication and quantum information communication
Authors: Han Xueting , Jiang Mingyue , Xu Ran , Ma Xinrui , Yi Jie , Liu Chunxia , An Limin 
Published: February 2021

Abstract
Compared with the glass surface, the photoluminescence intensity of CsPbBr3 quantum dots excited by 1200 nm femtosecond laser on the surface of Au island fiber film (AIF) is significantly enhanced. On the other hand, the photoluminescence intensity decay of CsPbBr3 quantum dots on the AIF surface shows a fast decay of the average photoluminescence lifetime. The Photoluminescence enhancement effect of CsPbBr3 quantum dots was analysed by photoluminescence spectrum, transmission electron microscope, absorption spectrum and photoluminescence decay. The spectral changes of CsPbBr3 quantum dots on the AIF surface are related to surface plasmon resonance. The enhanced photoluminescence of CsPbBr3 quantum dots on the AIF surface can be used in optical communication and quantum information communication.
Rolling bearing fault diagnosis method based on VMD and LSSVM
Authors: Zhu Xingtong , Huang Zhiling , Chen Jinfeng , Lu Junhao 
Published: February 2021

Abstract
The vibration signal of rolling bearing is complex, it is difficult to extract fault features and diagnose accurately. In this paper, a rolling bearing fault diagnosis method based on variational mode decomposition and GWO-LSSVM is proposed. The variational mode decomposition algorithm is used to decompose the bearing vibration signal, and the fuzzy entropy of each component signal is calculated. GWO is used to optimize the parameters of LSSVM. The least square support vector machine is used to identify the bearing fault.
Research on network security risk analysis method based on full traffic
Authors: Tang Yong , Liang Yunhui , Xiong Xiaowen , Liu Tao , Liu Chun 
Published: February 2021

Abstract
In the application process of industrial Internet, network security threats and malicious attacks occur from time to time. In order to improve the ability of network perception of unknown threats and the level of network security protection, this paper proposes a network security detection method based on full flow. Through online intelligent detection of network malicious traffic, unknown threats and malicious attacks can be found, provide guarantee for improving enterprise network security level.
Research on flow and pressure prediction of urban water supply pipeline network based on GA-BP algorithm
Authors: Xia Wei , Wang Yongyou , Liu Runhao , Wang Shi 
Published: February 2021

Abstract
In order to realize the optimal scheduling and energy saving of urban water supply pipeline system, a method of flow and pressure prediction of water supply pipeline network based on genetic algorithm and BP neural network is proposed in the paper. The flow and pressure prediction models of urban water supply network are built, then tests and verifies the models by the dates obtained from the water supply monitoring system, so as to provide control basis for optimal operation of urban water supply pipeline network.
X-ray Image Processing Method for Buffer Layer Defect in High Voltage Cable
Authors: Jun Zhang , Fuyong Huang , Sanwei Liu , Zeyu Zeng , Chao Feng , Yi Xie 
Published: February 2021

Abstract
The original X-ray image of the high voltage XLPE insulated cable has low contrast due to its complexity and the limited imaging conditions. Therefore, an X-ray image processing method is proposed to address the high voltage cable’s buffer layer defect detection. One hundred seventy-seven high-resolution images from a cable tunnel are collected. The results indicated that our method could efficiently detect buffer layer defects.
Research on Information System Risk Analysis and Security Situation Assessment Method
Authors: Wang Sheng , Zhang LinHao , Zhang Jie , Tang Yong , Liang YunHui 
Published: February 2021

Abstract
Enterprise information system is the fundamental guarantee and important means of enterprise production and management, the security of the information system is the foundation of the stable and reliable operation of the information system. In order to improve the security and anti-risk ability of the information system, it analyzes the possible risks of the information system and gives an assessment of the security situation of the information system. When there is a risk, it will provide security situation assessment and early warning to avoid unnecessary losses and risks.
Application of improved CNN in SAR image noise reduction
Authors: Lu Li , Zhang Ganchun , Nie Ying , Liu Jiayi , fang Yibiao , Zhang Guoling , Wu Yahui 
Published: February 2021

Abstract
Aiming at the problem of coherent speckle noise in SAR image processing, this paper improves the network based on the convolutional neural network method, adjusts the hierarchical relationship in the network hierarchy, and introduces the principles of batch normalization and residual network to eliminate. The gradient disappears when the network level is too deep. The loss function is improved by using multiple convolution kernels of different sizes which are used to extract a variety of different levels of feature information. Finally, based on the peak signal-to-noise ratio (PSNR) and edge index two parameters, the experimental comparison with PPB, SAR-BM3D and NL-SAR three types of denoising methods, The experimental results show that the SAR image generated by the improved CNN network can better achieve despeckle and denoising, and the edges of the image are kept intact.
Design of bus temperature measurement system based on OFDM multi-carrier modulation
Authors: Jiang Qingyang , Ding Yunguang , Jia Yunfei 
Published: February 2021

Abstract
In order to meet the requirements of multi-measurement nodes and high temperature resistance, this project draws extensive experience from relevant industries based on the relevant requirements. A bus temperature measurement system based on two-bus technology is developed. The system is based on two buses and combines OFDM technology to modulate signals on carriers with different frequencies. Through parallel transmission, the original signal is demodulated using differential coherent demodulation. The simulation results show that the system can effectively deal with channel signal interference.
Research on the Practical value of intelligent tax control technology in tax planning of flexible employment industry - Take The YouZhongLeHuo Platform as an example
Authors: Yuan Cheng , Li Zengyao , Zhou Yang , Zhou Ziming 
Published: February 2021

Abstract
Relying on Internet technology and the progress of financial technology development, derived “smart tax-controlled” technology solving the shortcomings of the traditional fiscal and tax payment process, together around the national tax system reform, the paper aims at labor-intensive enterprise employee structural contradictions and risks, to help to achieve flexible employment enterprise itself during the tax reduction, reduce the risk of employment, promote the personal salary income, stimulate the labor market balance between supply and demand of human resources, and drive the improvement of labor employment, economic flexible employment.
Artificial Intelligence Aided Course Scheduling System
Authors: Huang Minchuan , Huang Hsianglin , Chen Iping , Chen Ke , Wang Aiguo 
Published: February 2021

Abstract
College and department courses are broad, elegant and diversified. The demand for interdisciplinary elective courses is increasing, and the teaching management work is becoming increasingly heavy. Therefore, the administrative work of arranging and adjusting courses cannot be increased. We should carry out reform according to the actual difficulties. In the preliminary study of different educational administration work between colleges, the action research case study was started. This paper discusses how to apply the thinking of software engineering in educational administration system, innovate the current operation procedure, find out the solution, and realize the Artificial Intelligence Aided course scheduling system. This paper discusses the difficulties and difficulties of the current course scheduling system, and designs the new core principle and algorithm. Based on the problems collected by action research, the entity relationship between system analysis and system design is discussed, and the correct relation diagram is drawn to realize the function module of system design. After discussion, the group decided to adopt browser / server mode architecture, run the prototype of Artificial Intelligence Aided course scheduling system, and gradually test and eliminate problems, so as to realize the feasibility of the system and share the successful experience.
A path optimization algorithm based on multi-objective monitoring scenario analysis for UAV
Authors: Wang Xi , OuYang Chengtian , Shao Xiangling , Xu Hui 
Published: February 2021

Abstract
The path planning of UAV monitoring task was used to a case study, a path optimization algorithm based on multi-objective monitoring scenario analysis for UAV was proposed. In the proposed algorithm, the UAV multi-objective task monitoring scenario was analyzed and modeled, Markov decision-making process model was established by model checking tool prism, two different sub-algorithms for MPOA_LRTP and MPOA_RR were provided to verify and analyze the model of UAV multi-objective task monitoring scenario. Compared MPOA_LRTP and MPOA_RR, the results of formal verification show that MPOA_LRTP with eight direction selecting was an effective way to complete the monitoring task for UAV, it spent shorter time and had higher efficiency, and the probability of completing the task in a certain time was greater. Besides, the smaller the workload and the less fatigue of the operator, the better the system performance and the higher the efficiency of completing the task.
Research on the Pricing of Chinese Artwork Based on Unascertained Measure and GM (1, N) Model
Authors: Tang Dongping , Chen Hongqian , Zhang Ziyi 
Published: February 2021

Abstract
The Chinese art market has developed rapidly in recent years, but the problem of fuzzy and irregular art pricing has always perplexed the participants in the art market. This article proposes a new idea of dividing the influence factors of artworks according to the static and dynamic dimensions, so as to study the attributes and external factors of artworks and analyse the causes of price fluctuations of artworks better. The pricing model proposed in this paper applies the Unascertained Measure Model to the comprehensive evaluation of static attributes of artworks. In addition, the GM (1, N) Model is constructed by combining the static attribute comprehensive evaluation score with other dynamic influencing factors, so that the model has the characteristics of qualitative and quantitative combination, scientific and objective. Finally, this paper proves the validity of the model through empirical research.
Target Birth Intensity Estimation in Dense Clutter
Authors: Yujie Jiang , Xiaoxiao Jiang 
Published: February 2021

Abstract
In order to solve the problem of unknown target birth intensity in multi-target tracking, an improved GM-PHD filtering algorithm based on virtual track is proposed. According to the measurement set in the monitoring area, the virtual tracks of the birth targets are established by using the motion model of the targets. The false tracks modeled by the clutter are eliminated by PHD filter, and the states of the birth targets are extracted. The simulation results show that the algorithm performs well in dense clutter environment.
The check-bits-weight-adjustable scheme of rate compatible modulation based on the systematic Polar code
Authors: Peng Bin , Liu Wei , Zhu Jinkun 
Published: February 2021

Abstract
Rate compatible modulation is a novel adaptive transmission technology that does not require channel state information feedback, can achieve rate adaptive adjustment, and smoothly approach channel capacity. However, due to the nature of incremental decoding, the decoding complexity is too high and the transmission performance is reduced under bad channel conditions. Based on the feature of the systematic Polar code that separates the information bits and the check bits, this paper optimizes the design of the hybrid cascade of the systematic Polar code and rate-compatible modulation, and proposes a feasible scheme for adjusting the corresponding weight of check bits. The simulation results show that the proposed scheme can achieve better transmission performance in a wider range of signal-to-noise ratio with relatively lower decoding overhead.
Conceptual framework of intelligent decision support based on user digital life traces and ontology-based user categorisation
Authors: Levashova T V , Smirnov A V , Pashkin M P , Ponomarev A V 
Published: February 2021

Abstract
The paper presents conceptual framework and information model of intelligent decision support based on traces of user digital lives and ontology-based user categorisation. The conceptual framework defines components that provide information revealed from the traces of user digital lives, generalize this information, and make ontology inference. The information model defines information flows between the components of the conceptual framework. The novelties of this research are grouping users with common preferences and decision making behaviours based on the user digital traces, and context-sensitive ontology-based categorization of users into the user groups.