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Vol. 06, No. 09 [September 2020]

Paper Title :: Continuous determination of inductance current in fractional order Buck-Boost converterand
Author Name :: Qin Rui || Su Zhi Peng
Country :: China
Page Number :: 01-03
In order to solve the adaptability problem of several fractional order calculus definitions in fractional order DC-DC converter and the continuous current mode of inductor current, In this paper, a buck boost steadystate characteristic analysis method in CCM is proposed, and the judging conditions of the converter operating in CCM are given. Compared with the parameter judgment condition of the converter operating in CCM defined by Caputo, the method proposed in this paper is more accurate.
Keywords: fractional order, Buck-Boost converter, harmonic balance, steady state analysis
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[3]. TRZASKA Z. Fractional-order harmonic oscillators[J]. Microwave & Optical Technology Letters, 2012, 21(3):201–205.
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[5]. CHEN X,CHEN Y F.A modeling and analysis method for fractional-order DC–DC converters, IEEE Transactions on Power Electronics,2017,32(9): 7034-7044.


Paper Title :: Early detection for infectious disease outbreaks using federate learning and blockchain
Author Name :: LI Daoxing || LIU Haiqing
Country :: China
Page Number :: 04-12
Early detection of infectious disease outbreak is important to confirm the outbreak of infectious diseases quickly. In recent years, in order to improve the real-time performance of early detection of infectious disease outbreaks, many studies using deep neural networks to extract information from medical data to forecast whether infectious disease outbreaks. However, due to the medical data contains a lot of the patient's privacy information, centralized model training mode will cause patient privacy problems. According to the above problem, we designed an infectious disease early warning model based on federate learning and blockchain, which decentralized trains symptom BERT model to extract symptom vectors by using local electronic medical record data and uses symptom vectors to detect infectious diseases outbreaks. To improve the effect of symptom BERT model training, we also use the reputation blockchain to ensure reliable data.
Keywords: early detection, disease outbreaks, federate learning, blockchain
[1]. Steele, L., E. Orefuwa, and P. Dickmann, Drivers of earlier infectious disease outbreak detection: a systematic literature review. International Journal of Infectious Diseases, 2016. 53: p. 15-20.
[2]. Bank, W. Update on the Economic Impact of the 2014 Ebola Epidemic on Liberia, Sierra Leone, and Guinea. 2015; Available from: https://www.worldbank.org/en/topic/macroeconomics/publication/economic-update-ebola-december.
[3]. Xia, H., et al., Synthesis of a high resolution social contact network for Delhi with application to pandemic planning. Artificial Intelligence in Medicine, 2015. 65(2): p. 113-130.
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[5]. Unkel, S., et al., Statistical methods for the prospective detection of infectious disease outbreaks: A review. Journal of the Royal Statistical Society. Series A: Statistics in Society, 2012. 175(1): p. 49-82.


Paper Title :: Probabilistic Bayesian Analysis and Inference using Geophysical well-logging
Case Four: Transit Time Data with Sonic Log and Gamma Log
Author Name :: M. Sc. Zenteno Jiménez José Roberto
Country :: Mexico
Page Number :: 13-31
The methodology was used to obtain new normal probability and extreme value distribution functions through Bayesian inference and stochastic mixture of Gaussians. The proposed methodology is oriented to data with Gaussian behavior and consists of fitting the normal distribution function to the time series data of the porosity data, transit time curves and the curve of the gamma geophysical record, to find the probability of the Minimum or estimated values to find areas of interest, then we use Bayesian inference for normal data, in this case they are looking for behavior and trend with new Gaussian and extreme value functions. To validate the model we use the following statistical estimators, measurement of the root of the squared error, squared error, coefficient of determination and prediction approximation.
Keywords: Bayesian Inference, Gaussian Mixing, Extreme Variable Distribution Functions.
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Paper Title :: Barriers for Women Participation in Building Construction Sector: A Case Study of Kebbi State Nigeria
Author Name :: Blrd. Nagande Umar || BldrMarafa Muhammad Ribah
Country :: Nigeria
Page Number :: 32-37
It has been a fact that, certain women have a required knowledge, experience and training and could perform efficiently in building construction industries and other related sectors, but yet they were not fully represented in the sector because some numerous barriers that hinders their carrier development in theconstructional Area. So, thispaper aimed to assess those challenges faced by female in building construction industry and other related sectors in kebbi state, Nigeria. The objectives of the paper are to identify the barriers and suggest necessary solution that suit the study area. The data for this research were obtained from structured questionnaire distributed to workers of some construction companies, construction sites, Academic personnel and students from the Tertiary institution in kebbi state. From findings it shows that, participations of womenin building construction sector is obstructed by culture and religious seclusion, Family responsibilities, inadequate security of job in private sector, work stress and fatigue, inadequate pay, insecurity in working environment and inflexible working hours. The paper suggests that, the assumption of construction industry is a male dominant industry should be de-emphasized, and also equal gender opportunity should be set to attract more women in the sector.Finally, the industry should improve the physical and sorounding factors in respect to women by initiating flexible work hours, reducing work load and making the work less boring and stressful, also the dignity of women in construction sites should be highly respected by discouraging the use of foul languages and harassment.
Keywords: Women, Barrier, Construction site, Challenges, Construction industry
[1]. Akomolafe, MA Mohammed, MA (2014) Gender barrier in construction industry: nternational.Journal of Modern Management Sciences: 4(1), (1-10)
[2]. Akomolafe Maryam Abidemi and Mohammed MulikatAyobami (2015) Gender Barrier in Construction Industry: A Review of Women Involvement: International Journal of Modern Management Sciences, 2015, 4(1): 1-10
[3]. Afolabi, AO Oyeyipo, OpeyemiOjelabi, Rapheal A Tunji-Olayeni, PF (2019) Balancing the Female Identity in the Construction Industry. Journal of Construction in Developing Countries. Volume 24 (1) pp 83-104.
[4]. Aguirre, D Hoteit, Leila Rupp, Christine Sabbagh, Karim (2012) Empowering the third billion. Women and the world of work in 2012: Booz and Company journal, (27)
[5]. Barsh, Joanna and Yee, Lareina (2012). Unlocking the full potential of women at work. McKinsey & Company/Wall Street Journal


Paper Title :: Electrical Conductivity of Conductive Polymer Polyaniline (PANI-ES) Preparation by Chemical Oxidative Method
Author Name :: Amer N. Jarad Al-Daghman
Country :: Iraq
Page Number :: 38-42
Conductive polymer as Polyaniline (PANI-ES) prepared by chemical oxidation polymerization method at room temperature and studied the effect the dopant sulfuric acid on the structure of the polymer, which prepared with molarity of sulfuric acid (1M), the changes taking place were follow-up by the following measurements: FESEM, FT-IR, I-V character. The diagnosis of the output polymer films by using infrared spectroscopy FT-IR, for doped samples with 1M of sulfuric acid observed change in the intensity of emission opposite the wave number corresponding to each bond, while not noticed any change in the position of the bonds with appearance anew peak return to SO4 compound. By the FESEM properties of the surface study using the topography FESEM (Field Emission Scanning Electronic Microscopic) and calculated the particle revealed, that the compound has micro granular affected with the presence of acid. Electrical characteristic study by using the two-probe manner, it found that the samples had ohmic plots in which high linear coefficients. The doped samples of polymer had a highest conductivity of 2.98x10-4 S.cm-1 at 383 K, which observed for the H2SO4 doped sample, which shows that was more prominent of localized salt in polymer.
Keywords: Electrical Conductivity, Acidic doped, PANi-ES.
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Paper Title :: BLDC Motor Drive for Electric Vehicle Application
Author Name :: Sonali Vidhate || Prof. Pawan Tapre || Prof. Amit Solanki
Country :: India
Page Number :: 43-48
Electric vehicles (EV), including Battery Electric Vehicle (BEV), Hybrid Electric Vehicle (HEV), Plug-in Hybrid Electric Vehicle (PHEV), Fuel Cell Electric Vehicle (FCEV), are becoming more commonplace in the transportation sector in recent times. As the present trend suggests, this mode of transport is likely to replace internal combustion engine (ICE) vehicles in the near future. Each of the main EV components has a number of technologies that are currently in use or can become prominent in the future. EVs can cause significant impacts on the environment, power system, and other related sectors. The present power system could face huge instabilities with enough EV penetration, but with proper management and coordination, EVs can be turned into a major contributor to the successful implementation of the smart grid concept. There are possibilities of immense environmental benefits as well, as the EVs can extensively reduce the greenhouse gas emissions produced by the transportation sector. However, there are some major obstacles for EVs to overcome before totally replacing ICE vehicles. Industrial Motor Drives mainly deals with operations at base speed of motor. Electric Vehicle Motor Drives deals with operations that require sudden start and stop, low speed operations and base speed operations as well. The system should meet the objective of variable speed, variable torque applications like Electric Vehicles (EVs). As per studies, BLDC motor is found to be a suitable motive element for EV application based on its suitable torque speed characteristics. The system needs to implement with a suitable control mechanism that will help to operate the motor in an efficient manner.
Keywords: Electric Vehicle; Energy Sources; Electric Motors; Motor Characteristics
[1]. GagandeepLuthra, “Comparison Of Characteristics Of Various Motor Drives Currently Used In Electric Vehicle Propulsion System”, International Journal of Mechanical And Production Engineering, ISSN: 2320-2092, Volume- 5, Issue-6, Jun.-2017
[2]. Adrian Bălţăţanu, Leonard Marin Florea“Comparison Of Electric Motors Used For Electric Vehicles Propulsion”, International Conference Of Scientific Paper, Afases 2013 Brasov, 23-25 May 2013
[3]. Yong, J.Y.; Ramachandaramurthy, V.K.; Tan, K.M.; Mithulananthan, N. A review on the state-of-the-art technologies of electric vehicle, its impacts and prospects. Renew. Sustain. Energy Rev. 2015, 49, 365–385.
[4]. Camacho, O.M.F.; Nørgård, P.B.; Rao, N.; Mihet-Popa, L. Electrical Vehicle Batteries Testing in a Distribution Network using Sustainable Energy. IEEE Trans. Smart Grid 2014, 5, 1033–1042.
[5]. Camacho, O.M.F.; Mihet-Popa, L. Fast Charging and Smart Charging Tests for Electric Vehicles Batteries using Renewable Energy. Oil Gas Sci. Technol. 2016, 71, 13–25.


Paper Title :: CFD Modeling of a Sedimentation Tank
Author Name :: Marcell Knolmar
Country :: Hungary
Page Number :: 49-54
An industrial sedimentation tank was selected for the examination. The tank is suffering from floating problems. We applied computational fluid dynamics (CFD) simulations to explore the weak points. The 3D simulations were assuring the anticipated strengths and weaknesses. The shared experiences are including practical and theoretical knowledges about the model building and flow simulation tasks. Evaluation and suggestions are also included.
Keywords: 3D simulation, CFD, Fluent, sedimentation tank
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Paper Title :: Modeling of the thermal fluid flow in stationary plasma arc cutting
Author Name :: Atilla Savaş
Country :: Turkey
Page Number :: 55-71
This work aims to analyze the thermal fluid flow in a stationary plasma arc cutting operation under the plasma gases argon, air and nitrogen. COMSOL software was utilized to solve multiphysics phenomena, including the laminar flow, the heat transfer, the electric and the magnetic field. The validation of the procedure was confirmed against papers found in the literature. The comparisons showed a good match.
When the plasma behavior of the plasma arc cutting operation is investigated, one can see that physical plasma constriction causes plasmas to flow faster in greater temperatures. The highest plasma inlet velocity makes the most stable arc in argon plasma arc whereas the lowest plasma inlet velocity causes the same result in air plasma arc. Plasma arc torch design can be performed with the proposed method in this work.
Keywords: Numerical Simulation, Plasma Arc Cutting, Plasma Constriction
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