bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interference analysis and suppression technology of converter transformer partial discharge test based on field measurement
Authors: Zhou Haibin , Wang Jingbao , Chen Wei 
Published: June 2020

Abstract
The field PD test of converter transformer is more difficult than that the test of common AC transformer. The most important difference is that the interference source in converter station is more complex. This paper measured the interference signals of the converter transformer field PD test in several converter stations, analyzed the characteristics of various typical interference, formulated the targeted interference suppression measures, simulation tests are carried out to verify the effectiveness of the suppression measures. Finally, the field application shows that the interference suppression measures proposed in this paper can effectively improve the efficiency and accuracy of field PD test of converter transformer.
Research on the Disadvantages and Countermeasures of Cross-subsidy for Sales Electricity Price
Authors: Zhang Jiaqi 
Published: June 2020

Abstract
In the context of deepening the reform of the power system and advancing the marketization of power, how to advance the price reform in an orderly manner has become an important issue in the reform process. Due to excessive consideration of economic structural adjustment and subsidies for agricultural residents’ electricity, the deviation between China’s sales price and electricity costs is very common, causing serious cross-subsidy problems. This paper applied Ramsey pricing theory, social welfare net loss theory, and cross subsidy application conditions to analyze the problems caused by cross subsidy of electricity price in China, and proposed several ideas and solutions to cross electricity subsidy.
Knowledge Transfer for Object Detection
Authors: Gong Chenggui , Zhang Xiao 
Published: June 2020

Abstract
Object detection is one of the basic tasks of computer vision. Although deep neural networks have greatly promoted the development of target detection, the training of deep neural networks often requires certain computing resources, especially when dealing with more complex detection tasks. It will become more complicated, and the increase in model complexity will increase its demand for computing resources. This is not desirable for platforms with limited computing resources. Without sacrificing excessive detection accuracy, how to make the model run efficiently on a platform with limited resources has become a big challenge. In order to solve this problem, we have introduced the idea of knowledge distillation in this work. We use the knowledge learned by complex models as prior knowledge, and pass the prior knowledge to the small-scale neural network model, so that the small-scale neural network model can acquire the similar functions of large-scale networks. Based on this, we proposed a framework for target detection based on knowledge distillation and conducted experiments on PASCAL VOC [1] and KITTI [2].
The experimental results show that the proposed framework can make the smaller student network show similar performance to the larger teacher network. This provides a possibility for the deep learning system to run efficiently on a resource-limited platform.
Research on Urban Distribution Network Planning and Optimization Measures Based on Real 3D Scenes
Authors: Fu Yaling , Li Chao , Qiu Kaifeng , Wang Yang , Zhang Chunhong 
Published: June 2020

Abstract
With the continuous advancement of smart grid construction, the structure of the power grid is becoming increasingly large and complex, and it is increasingly difficult to adapt to the requirements of grid development using traditional 3D drawings for grid design and operation and maintenance. The emerging 3D real-world modeling technology can visually and comprehensively display terrain, landforms, equipment appearance dimensions, wiring methods and other information. To promote the application of real-world 3D scene technology, electric power companies have repeatedly carried out 3D design of power grid projects and construction of data centers Optimized distribution network planning. Realize the linkage of real-world 3D scene plan maps, building information models, etc. through geographic connections, provide real feedback on site conditions, reduce the number of site surveys, save manpower and resources, and effectively implement urban power distribution network planning.
The Financial Analysis of Public Company in Stock Exchange Mergers Ratio
Authors: Gong Pei 
Published: June 2020

Abstract
The stock exchange mergers of public companies are the result of the modern market competition. Due to the advantages of the stock exchange mergers such as they are not limited by the scale of mergers, are able to prevent cash flow pressure, enjoy the policy of preferential tax and retain the owners’ equity, they are applied by more and more public companies. Based on CAPM (Capital Asset Price Model), the paper designs a model of the common stock in the capital market which integrates stock dividends into the process of bonus sharing. The stock exchange ratio of both companies who are going to merger is calculated by the equilibrium price through this model. It provides the preliminary reference for the operation of stock exchange mergers.
Selection of Input-Output Factors for Total Factor Productivity Evaluation of Chinese Power Grid Enterprises
Authors: Song Haiyun , Ma Li , Feng Xinxin , Xiao Hanxiong , Gao Guowei 
Published: June 2020

Abstract
In response to the call of the 19th CPC National Congress, China’s large-scale power grid companies have proposed in recent years to improve total factor productivity. Based on the analysis of the problems existing in the traditional efficiency evaluation methods of power grid enterprises and the importance of the evaluation of total factor productivity, combined with literature research, this paper focuses on the input-output factors with characteristics of power grid companies.
Research on Parallel Control Technology of Three-phase Inverter Based on Multiple Proportional Resonance Controller
Authors: Zhou Wei , Xu Xianglian , Tan Siyun , Mao Lukai , An Mengqiang , Luo Chenhu 
Published: June 2020

Abstract
The parallel operation of multiple inverters can increase the fault tolerance of the system and prevent the occurrence of major accidents. At the same time, it also has strong flexibility, which can reduce the volume and weight of the system and increase the capacity of the system, which is very attractive in the application of uninterruptible power supply. In the inverter parallel system, the circulation will be generated between the inverters due to the existence of the path. Circulation can cause current distortion, reduce system performance, and even damage equipment in severe cases. In order to effectively suppress the generation of circulation, this paper proposes a multiple proportional resonance control strategy for the parallel three-phase inverter system, that is, the voltage outer loop is controlled by PI+PR, and the current inner loop is controlled by PR. Two three-phase inverter parallel systems are built in MATLAB/Simulink simulation environment to compare and analyze the control effect of uncontrolled, traditional PI control and multiple PR control. The simulation results show that the proposed control method has a good suppression effect on the circulation generated in the inverter parallel system, even under the condition of unbalanced load.
Silicon Carbide devices for radiation detection and measurements
Authors: La Via F , Tudisco S , Altana C , Boscardin M , Ciampi C , Cirrone G A P , Fazzi A , Giove D , Gorini G , Lanzalone G , Muoio A , Pasquali G , Petringa G , Puglia S M R , Rebai M , Santangelo A , Trifirò A 
Published: June 2020

Abstract
In the last decades Silicon Carbide (SiC) received special attentions, in particular as semiconductor material, because is considered as alternative to Silicon for the future high-power, low consumption, radiation-hard microelectronics devices. This ambitious goal is particularly interesting also for the physics of the detectors. In this work are discussed some of the recent results obtained by SiCILIA collaboration, a joint research activity between INFN and IMM institutions to increase the level of technological development in the field of SiC detectors.
Investigation of convective heat transfer enhancement for nanofluid flow over flat plate
Authors: Klazly M M , Bognár G 
Published: June 2020

Abstract
In this paper, the laminar flow over flat plate of three different nanofluids is investigated. The fluid is considered as water with three different kind of solid particles Al2O3, TiO2, and Fe3O4 of different volume fractions (1, 2, 3, and 4%). The values of viscosity, heat capacity, density, and thermal conductivity depending on volume fraction for the three nanofluids are evaluated. Numerical simulation has been conducted for analysis the impact of the nanoparticles on the heat transfer properties, on the temperature and velocity profiles, on the wall shear stress and on the skin friction coefficient. The results show that as the value of volume fraction increases the values of the wall shear stress, skin friction, and heat transfer increase, but the velocity decreases. A comparison between the three nanofluids presents the difference in the thermal enhancement, velocity profiles, and thermal boundary layer. With the volume fraction for all three nanofluids polynomial connections has been obtained to describe for the relation of the wall shear stress, skin friction coefficient and average heat transfer coefficient.
CFD investigation of backward - facing step nanofluid flow
Authors: Klazly M M , Bognár G 
Published: June 2020

Abstract
Heat transfer enhancement of different nanofluid laminar flow over backward facing step is numerically studied in this paper. The expansion ratio is chosen according to the experimental setup suggested by Armaly H/h = 1.9432. The Reynolds number is taken in a range of 10 ≤ Re ≤ 400. The result showed a primary recirculation region developed after the sudden expansion before it starts to change to become fully developed flow downstream of the reattachment point. The length of the reattachment point increases as Reynolds number increases. The effect of the volume fraction has observed along the downstream wall for Al2O3 - water nanofluid. Moreover, the impact of the volume fraction on the thermal boundary layer and heat transfer is investigated.
Efficient checking of functional dependencies for relations
Authors: Sug Hyontai 
Published: June 2020

Abstract
Data consistency is very important in relational databases, because relational databases are adopted by most operational database and inconsistent data can generate inconsistent reports or search results. In order to avoid data inconsistency problem, the underlying relation variables should be at least in the third form. But, the relational variables may not be in the third normal form due to incorrect database design. In this paper an efficient method is suggested to prevent possible data inconsistency problem due to incorrect database design based on functional dependency checking on non-key attributes for stored data. The idea of the method is based on the principle of functional dependency on relational variables and sorting on non-key attribute values. An experiment was performed to show how we may detect possible functional dependencies in real database. A database called HR from Oracle is used for the experiment, where HR account has example relations designed by experts for practice. The experiment showed good results and found several possible functional dependencies between non-key attributes so that a database designer may use the found functional dependencies to improve the structure of the database.
Business and Economics: Metrics and Peer Review in the journal: “WSEAS Transactions on Business and Economics”
Authors: Bardis Nikos , Ekonomou Lambros , Borne Pierre , Ntalianis Klimis , Mercorelli Paolo , Katehakis Michael N , Kintzios Nikos , Bulucea Cornelia Aida , Planas Maria Isabella Garcia 
Published: June 2020

Abstract
The Conference MMCTSE 2020 was in collaboration with the Journal “WSEAS Transactions on Business and Economics”. In this paper, the Metrics, the Peer Review and some statistical results of this Journal: “WSEAS Transactions on Business and Economics” is outlined.
Some Scenarios on the impacts of the COVID-19 pandemic to automobile import demand function in Azerbaijan
Authors: Alikhanli Yegana 
Published: June 2020

Abstract
The article examines the possible scenarios of price changes in the car market of Azerbaijan as a result of Covid-19. In the study, the demand and supply functions were determined by the two-stage simultaneous equation method. The author concludes that the car market in Azerbaijan depends not only on domestic and world prices but also on household incomes. As Covid-19 pandemic reduces household incomes, as well as global incomes, it is likely that demand to import will be declined and domestic prices will be decreased. But by decreasing of supply amount the prices in the domestic market will not be declined strongly. As well as the demand function to import dependences on the world price.
Euclidean Jordan Algebras and Inequalities over the Spectrum of a Strongly Regular Graph
Authors: Vieira Luis 
Published: June 2020

Abstract
Let G be a primitive strongly regular graph of order n with three distinct eigenvalues and A its adjacency matrix. In this paper we associate to A the 3—dimensional real Euclidean Jordan algebra A spanned by In and the natural powers of A equipped with the Jordan product of matrices and with inner product of two matrices being the trace of their Jordan product and next, by the spectral analysis of some elements of A we establish some inequalities over the spectrum and the parameters of a strongly regular graph.
Dual Stage Network Intrusion Detection System Through Feature Reduction
Authors: Raj Raghuvansh , Gupta Somya , Lohia Manan , Taneja H C 
Published: June 2020

Abstract
With an exponential increase in the amount of data produced, transmitted, stored and exchanged over the internet, intrusion detection systems have formed an integral part of modern-day network security systems. Considerable expense, time and efforts are spent in ensuring timely detection and denial of malicious users in order to preserve the key objectives of system security; confidentiality, integrity, and availability. In this paper, we intend to propose a dual stage algorithm to tackle the problem of NIDS. Our aim in this paper is to construct an algorithm that results in few false positives and fewer false negatives, as any IDS should be.
Research into network intrusion detection systems dates back to the early 1990s where researchers initially developed rule-based algorithms such as SNORT and TCPDUMP. As the subject gained traction and importance, researchers began to shift efforts towards creating anomaly detection systems using benchmarked datasets to test their algorithms. In the early 2010s, several papers pertaining to NIDS were published, and a majority of the technological breakthroughs in this field were influenced by the theory of deep learning.
We have focused on building an IDS using the benchmarked NSL-KDD dataset. The dataset consists of 41 features, of which 3 are categorical and the remaining, numeric. Having opted for One-Hot Encoding of the categorical features, our feature space explodes to a sum of 122 features. Despite the obvious drawbacks, this was necessary as the categorical features do not contain any implicit ordering within their values. The aim is to develop an efficiently compressed feature space with the ultimate goal being to develop a computationally light classification model capable of operating on the compressed feature set using sequential models to our benefit.
First-order quantum phase transitions as condensations in the space of states
Authors: Ostilli Massimo , Presilla Carlo 
Published: June 2020

Abstract
We demonstrate that a large class of first-order quantum phase transitions, namely, transitions in which the ground state energy per particle is continuous but its first order derivative has a jump discontinuity, can be described as a condensation in the space of states. Given a system having Hamiltonian H = K + gV, where K and V are two non commuting operators acting on the space of states

F

, we may always write

F
=

F

cond

⊕

F

norm

where

F

cond

is the subspace spanned by the eigenstates of V with minimal eigenvalue and

F

norm

=

F

cond

⊥

. If, in the thermodynamic limit, M
cond/M → 0, where M and M
cond are, respectively, the dimensions of

F

and

F

cond

, the above decomposition of

F

becomes effective, in the sense that the ground state energy per particle of the system, ϵ, coincides with the smaller between ϵ
cond and ϵ
norm, the ground state energies per particle of the system restricted to the subspaces

F

cond

and

F

norm

, respectively: ϵ = min{ϵ
cond, ϵ
norm}. It may then happen that, as a function of the parameter g, the energies ϵ
cond and ϵ
norm cross at g = g
c. In this case, a first-order quantum phase transition takes place between a condensed phase (system restricted to the small subspace

F

cond

) and a normal phase (system spread over the large subspace

F

norm

). Since, in the thermodynamic limit, M
cond/M → 0, the confinement into

F

cond

is actually a condensation in which the system falls into a ground state orthogonal to that of the normal phase, something reminiscent of Anderson’s orthogonality catastrophe (Anderson 1967 Phys. Rev. Lett.
18 1049). The outlined mechanism is tested on a variety of benchmark lattice models, including spin systems, free fermions with non uniform fields, interacting fermions and interacting hard-core bosons.
Guidelines for Climate Change Adaptation in Brazilian Cities Through Urban Green Infrastructure
Authors: Almeida J , Engel C 
Published: June 2020

Abstract
One of the significant challenges for managers and urban planners today is adapting cities to climate change. Studies published in the Assessment Reports (AR) of the Intergovernmental Panel on Climate Change (IPCC) indicated several evidences of climate change and also showed possible impacts on urban infrastructure, service availability and natural resources. Thus, adaptation actions emerge as a necessary coping strategy and search for urban resilience. Green infrastructure refers to a set of interventions aimed to preserve natural ecosystems and to support for urban systems. This research aims to identify what are the main impacts projected for the Brazilians cities, due to climate change, and also provide guidelines to the green infrastructure adoption as an adaptation strategy. The methodology was based on the evaluation of the general panorama of climate change on the national context indicated by the Brazilian Panel on Climate Change (PBMC). In addition, a review of articles related to green infrastructure was made aiming for the selection of possible solutions focused on its applicability. As a result, guidelines for urban planning were settled as a contribution to reducing the vulnerability of Brazilians cities.
Thermal design and on-orbit performance of the ECOSTRESS instrument
Authors: Cha J , Carroll B , Rodriguez J , Maynard K , Romero M 
Published: June 2020

Abstract
The ECOSystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) instrument, launched on June 29, 2018, has completed nine months of operation in space. ECOSTRESS is a multi-spectral thermal infrared imaging radiometer and its primary mission is to investigate and understand how climate change affects water and carbon usage on Earth. The thermal control subsystem consists of a combination of active and passive components to maintain instrument components within the allowable flight temperature limits. Its focal plane detector is cooled to 65K by a pair of mechanical cryocoolers and a third mechanical cryocooler cools an intermediate cold shield to 130K. The heat dissipation generated by cryocoolers and electronics, is removed through non-planar cold plates and tube-on plate heat exchanger, which are cooled by a circulating fluid loop inside JAXA’s JEM-EF module. The heat collected by the JEM-EF fluid is exchanged with a fluid loop that circulates through radiators located on the exterior of the Space Station. This paper provides an overview of the thermal and cryogenic system design, thermal analysis results and reviews the on-orbit thermal performance.
Propellant liquefaction modelling compared against liquefaction testing
Authors: Kashani A , Hauser D , Desai P 
Published: June 2020

Abstract
Current proposed NASA missions to Moon and Mars involve producing cryogenic propellant in-situ to reduce launch mass and requirements. One technique for liquefaction of the gases produced through electrochemical processes is to circulate cold gaseous neon or helium through broad area cooling tubes attached to the outside of the propellant tanks. To determine the performance of this liquefaction process tests are being conducted at NASA Marshall Space Flight Center in a 4.25 cubic meter tank with a broad area cooling network. A transient computational fluid dynamic code coupled with a thermal model of the tank and its cooling loops is developed in Thermal Desktop to compare against the results of these tests. Details of the model and the model predictions and comparison to experimental data from recent liquefaction tests are presented here.
Thermal and exported vibration characterization of RICOR K508N cryocooler
Authors: Mok M A , McKinley I M , Mastropietro A J 
Published: June 2020

Abstract
The RICOR K508N is an upgraded version of the K508 that has extensive flight heritage. This paper reports on the thermal performance and exported force results for a COTS K508N for the ATACOI project as well as two K508N coolers filled to a higher fill pressure and with a high frequency motor for the CIRAS mission. The thermal performance of the coolers was measured in vacuum for -40°C, 20°C and 57°C heat reject temperatures. The coolers were operated in open-loop and in closed-loop mode during thermal performance testing. The K508N for ATACOI was put through Protoflight/Qualification thermal vacuum testing in order to satisfy JPL environment requirements for flight. Exported vibration results for the ATACOI, CIRAS and MASPEX coolers are presented and compared. Finally, the ATACOI K508N was tested with and without wire rope vibration isolators to validate the results presented in Ref. [11]. As a result of increased fill pressure and a high frequency motor, the CIRAS coolers showed a 22% performance improvement at 90 K compared to the ATACOI cooler.