bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Reliable Gait Analysis Using Fuzzy Logic
Authors: Ahmed Abouel Kassem Taher , Tamazin Mohamed E. , Aly Moustafa H. 
Published: January 2020

Abstract
In this paper, an artificial intelligence technique which is fuzzy logic is used as an online prediction of a patient (especially Alzheimer patient) motion status. It depends on the input variables: GPS, GPRS, accelerometer, gyroscope, temperature, heartbeat rate, and the motion status (standing, walking, and running) as an output variable. Fuzzy logic can detect the motion status based on 385 rules for all inputs and output variables. A low-cost smart shoe with embedded positioning tracking is implemented based on sensors and microcontrollers to help Alzheimer patients. The first phase of the experimental work is based on GPS, GPRS, GSM, accelerometer, heartbeat rate sensor, temperature sensor, and a microcontroller, mounted on the shoe side to navigate according to the pedestrian or patient movement. All sensors data are collected by the microcontroller and are transmitted to the GSM receiver in SMS message. The GSM module is connected to the PC via a USB serial port. Transmitting data is periodically sent upon a specific time. The detected data is stored in the database as a function of time. The data includes the position of the patient (latitude and longitude) located on the Google map software, health status (heartbeat rate), gyroscope and accelerometer (x, y, z) of movement as a function of time.
Sparse Indexed OFDM Modulation Technique For Visible Light Communication (VLC) With reduced Peak-to-Average Power Ratio (PAPR)
Authors: Aziz Amgad F. , Aly Omar A. M. , Mohammed Usama S. 
Published: January 2020

Abstract
In this paper, diversity sparse activated subcarriers OFDM index modulation (DSASOFDM-IM) is proposed to improve the Energy Efficiency (EE) of interpolated sparse activated subcarriers OFDM index modulation (ISAS-OFDM-IM), which was proposed to improve spectrum efficiency (SE) and bite error rate (BER) of the OFDM modulation technique in visible light communication (VLC) systems. The EE improvement using DSAS-OFDM-IM resulted from improving the peak to average power ratio (PAPR) for the transmitted signal. DSAS-OFDM-IM and ISAS-OFDM-IM are considered as time domain interpolated version of the sparse activated subcarriers OFDM index modulation (SAS-OFDM-IM). SAS-OFDM-IM, improves the SE of the classical index modulation OFDM (IM-OFDM). Unfortunately this is done on the cost of degrading the BER due to burst errors. ISAS-OFDM-IM solves for the problem of burst errors by introducing zeros between samples in the time domain signal, which leads to a good improvements in BER at low values of signal to noise ratio (SNR). ISAS-OFDM-IM solves for the problem of the burst errors but degrading the PAPR due to the reduction in the average power. The proposed DSAS-OFDM-IM solves for the problem of burst errors and reducing the BER without affecting the PAPR of the SAS-OFDM-IM as was occurred by ISAS-OFDM-IM. Results indicate good improvements in SE, EE and BER of OFDM, which are considered as important requirements for VLC as a new trend in optical wireless communication. An improvement about 6 dB in BER was achieved by using DSAS-OFDM-IM technique.
FWM Mitigation in DWDM Optical Networks
Authors: Ullah Manzoor Habib , Manzoor Tareq , Hussain Ashiq , Aly Moustafa H. 
Published: January 2020

Abstract
In this paper, three optical communication systems have been proposed to mitigate Four Wave Mixing (FWM). Three techniques are used, namely; low input power with high gain amplifier, a collective Optical Time Division Multiplexing (OTDM) and Dense Wavelength Division Multiplexing (DWDM) system, and the use of alternative circular polarization. The first technique involves reduction in input power to -20 dBm and then amplifying it 40 dB before demultiplexing. The second technique divides the input signal into four time slots and then combine them with a power combiner. In the third technique, the polarization of light coming from input channels is changed after modulation into right and left handed circular polarization. Exhaustive sets of simulations are performaed using Optisys. The performance analysis includes Q-factor, Optical Signal to Noise Ratio (OSNR), received optical power, minmum Bit Error Rate (BER) and eye diagram.
A Study on Biological Sample Preparation for High Resolution Imaging of Scanning Electron Microscope
Authors: Rahmah Aid Siti , Nur Anis Awadah Nik Zain Nik , Nadhirah Mohd Rashid Nur , Hara Hirofumi , Shameli Kamyar , Koji Iwamoto 
Published: January 2020

Abstract
Green chemistry has drawn attention for synthesizing nanoparticles as it utilizes an eco-friendly nontoxic chemical in the synthesis protocol. In addition, researchers start looking into the potential of organism such as bacteria, fungi and plants for synthesizing nanoparticles. Synthesis of nanoparticles requires details on structural analysis before/after synthesis in order to evaluate and control the quality of nanoparticles. Scanning electron microscope (SEM) has been widely used as an imaging instrument to structurally characterize nanoparticles before/after synthesis process. Maintaining the vacuum level in SEM system and controlling contamination originated from the sample are crucially important to enable high resolution imaging. In addition, sample surface need to be conductive to prevent image distortion due to the electron charging effect. Hence, raise the importance to study the method in preparing biological sample for SEM imaging. This work focuses on the three approaches of drying process for plant, bacteria and algae samples. Proper selection of preparation method on each samples involving air-drying using HMDS, CPD and FD methods have been done in order to prevent surface tension effect during drying process, which will result in the modification of the original structure. Comparison was made to get insight on the suitable sample preparation method for the specific biological sample. It is found that air-drying or CPD methods are suitable for the liquid-rich biological sample, while FD method can be a preference for biological sample that contains less liquid.
Efficient Linearized Model of Pressurizer System in Pressurized Water Reactors for Control Purposes
Authors: Sheta A A , Ali E H , Fikry R M , Mahmoud T A , El-Araby S M , Mahmoud M I 
Published: January 2020

Abstract
The pressurizer has an important role to ensure the protected operation of pressurized water reactor (PWR) by keeping the reactor coolant system pressure among allowed tolerances. In this paper, a non-equilibrium two-region nonlinear pressurizer (PZR) model was linearized using Taylor technique to introduce the linear models of pressurizer transients for the controller design purposes. Taylor series expansion of functions around an equilibrium point was calculated. The same assumptions of the reference model are considered in linearized model. The linearized model consists of five states; rate of changes for: mass of steam &water in the PZR, mass of water in the PZR, mass of water in the PC, steam temperature in PZR, and water temperature in PZR. The nonlinear and linear PZR models was implemented in MATLAB/Simulink. The linearized model of PZR is verified. The performance of linearized model of PZR and nonlinear model is consistent with small and acceptable errors. The closed-loop of the linearized model of PZR pressure and water level is implemented and investigated using standard Proportion-Integration-Differentiation (PID) controllers. Simulation results and the evaluation performance indicate that the proposed linear model of PZR is efficient, and it can be used for control purposes.
Self-Cleaning and Hydrophobic Pineapple Peel Fibre based Biocomposite
Authors: Rasit Ali Roshafima , Mohd Raffae Solehah , Wahyuny Che Jusoh Nurfatehah , Kaur J , Ibrahim Norazana , Md Kasmani Rafiziana , Hasbullah Hasrinah 
Published: January 2020

Abstract
Biocomposite has been widely used as plastics replacement for its biodegradability. However, the water absorptivity defeats its purpose as food packaging. The water absorption analysis for pineapple peel fiber (PAPF) was done according to ASTM D570-98 and it has been proven that the water content increases to 7.2% with the 50% content of PAPF in the bio-composite (50% PAPF). For that matter, hydrophobic coating was synthesized and applied on PAPF based bio-composite. The bio-composite was produced using Low Density Polyethylene (LDPE), pineapple peel fibre (PAPF), Linear LDPE grafted maleic anhydride (LLDPE-g-MA) as compatibilizer and Refined, Bleached Deodorized Olein (RBDOL) as plasticizer. The coating was synthesized by using polydimethylsiloxane (PDMS) and decamethylcyclopentasiloxane as hydrophobic component, silica nano-particles as nanostructured particles and non-organic solvent and non-ionic surfactant p-octyl polyethylene glycol phenyl ether as surfactant. The emulsion was homogenized and after that sprayed onto the surface of PAPF bio-composite and dried in the oven at 50-60˚C for 24 hours. Through the 100µm magnification using field emission scanning electron microscope (FESEM), the hydrophobic coating was proven to conform the Cassie-Baxter hydrophobic property. C-O bond from the PAPF disintegrates after the production of bio-composite from the Attenuated Total Reflectance Fourier Transform Infrared (ATR FTIR) spectrometry transmittance. The application of the coating onto the surface of PAPF bio-composite gave the surface hydrophobic property where the contact angle changes from 82.27±2.66˚ which is hydrophilic to 122.63±2.17˚ which is hydrophobic. The bio-composite with the highest PAPF content will also exhibit self-cleaning ability which makes it suitable for the usage of hydrophobic food packaging material.
Dynamic modelling and simulation of clean coal power generation
Authors: Abdul Manaf N , Abbas A 
Published: January 2020

Abstract
Retrofitting coal-fired power plant (PP) with carbon capture technology can be used as an effective transition solution towards clean coal-based energy production. Thus, this study analyses the operational/behavioural performance of retrofitting carbon capture to a coal-fired power plant (PP-PCC plant). A real-time data-driven model representing PP-PCC plant is developed in Matlab/Simulink software facility. The model simulates the dynamic response of integrated plant subjected to operational uncertainty and unprecedented perturbation. A positive variation (increment of flowrate) of air, coal and lean solvent flowrates exhibit significant dynamic responses toward the power plant load, carbon capture efficiency (CC) and energy performance (EP). Where, variation of these variables contribute to the elevation of capture percentage and improvement of energy performance. This study is beneficial for preliminary understanding of the transient variable behaviours of clean coal power generation as one of the mitigation measure to ensure proposed integration is feasible in term of environmental and economic performances.
LNA Design Optimization Using DNA Computing
Authors: AbdelRassoul Roshdy , IEEE SM , Abd El-Bary Abd El-Menem , El-Ebshihy Aya 
Published: January 2020

Abstract
A noise model for heterojunction transistors using a new technique for prediction was introduced using a neural network model, and was applied to get higher accuracy for transistor noise parameters. The new model is employed in designing of a wideband Low-Noise Amplifier (LNA), which resulted higher accuracy for the four noise parameters required, using only one neural network for simulation of noise figure parameters. The accuracy of this model has been demonstrated by coordinating anticipated and estimated values of heterojunction transistors for a specific data set of noise parameters at various frequencies, temperatures and bias points.
DNA computing was used to design a Low-Noise Amplifier (LNA). The DNA computing method demonstrates good and very accurate results and also shows a very high accurate results in prediction of the noise parameters by using it as FFNN to determine a threshold level value, which consequently increased the gain leading to higher bandwidth.
Comparison of the new method (DNANN) to other classical optimization techniques shows that the DNA computing method results in optimized noise parameters, which consequently leads to higher LNA gain which consequently leads to improved bandwidth. Copyright © 2017 Penerbit Akademia Baru - All rights reserved.
Feedback Recommendation System Based on Structured Feedback Acquisition
Authors: Hassan E , Sherief N , Abdelmoez W M , Saad A A 
Published: January 2020

Abstract
Users’ feedback are increasingly becoming a vital factor during the software evolution process. Users’ feedback are widely considered to be an indication of how satisfied are the system’s users. It was found that large percentage of feedback represents problems reported by users who face problems in using the system. Users’ feedback are usually communicated in an ad-hoc manner with no defined structure. The ad-hoc nature of the feedback makes it difficult to study and analyse feedback. Also, it usually happens that similar problems are reported by different users, so engineers spend wasted time and effort in duplicate issues. In this paper we propose a recommendation system which recommends to the user reported problems that are similar to his from prevoius feedback threads to reuse existing solutions. We based our work on a structured feedback system to ensure we get better results. Structured feedback ensures minimum level of useful and meanigful information that helps enhance the analysis results. Initial evaluation was conducted and the results are promising.
Transmission of 128 Gb/s Optical QPSK Signal over FSO Channel under Different Weather Conditions and Pointing Errors
Authors: Adel M. , Seleem H. , Nasr M. , El-Khobby H. 
Published: January 2020

Abstract
Free space optics (FSO) is a promising technology for high data rate transmission where data is transmitted wirelessly from one place to another. It has a variety of applications nowadays including indoor, outdoor, underwater, and deep space communications. However, the availability of link under various atmospheric conditions is a major concern. In this study, we evaluate the transmission of 128 Gb/s optical quadrature phase shift keying (QPSK) signal under different weather conditions and pointing errors. Simulation parameters such as FSO link range, atmospheric attenuation, pointing loss, and wavelength are taken into consideration. The system performance evaluation parameters including eye diagram, constellation, and received signal to noise ratio (SNR) are compared to find the best performance under different weather conditions. Numerical simulations show that the pointing errors up to 10 µrad and bad weather conditions up to 15 dB attenuation has sever effects on the system performance and we should use digital signal processing and equalization to enhance it.
Solar cell performance enhancement with optimized CIGS absorber bandgap and buffer layer
Authors: Osman Yasmina , Fedawy Mostafa , Abaza Mohamed , Aly Moustafa H. 
Published: January 2020

Abstract
In the past years, record efficiency of copper-indium-gallium-diselenide (CIGS) based solar cells has improved reaching 22.6%. This result shows that CIGS absorbent is idealistic for thin-film solar cells. The most attractive feature in CIGS is the tunable bandgap of the absorber layer that varies from 1.06 eV to 1.7 eV depending on the gallium fraction. This feature leads to best match the solar spectrum. In the present work, the influence of the bandgap of the absorber is investigated using solar cell capacitance simulator (SCAPS). An optimum bandgap of 1.39 eV results in a maximum efficiency of 24.288%. In order to get a Cd-free CIGS based thin film solar cell the CdS buffer layer is replaced by In2S3. The results show that In2S3 is a proper alternative that does not degrade th
3
e cell performance.
Enhanced Thermoelectric Performance in Li Doped SnS via Carrier Concentration Optimization
Authors: Niu Yi , Chen Yide , Jiang Jing , Pan Yan , Yang Chengcheng , Wang Chao 
Published: January 2020

Abstract
Tin sulfide (SnS) has attracted increasing attentions due to its similar band structure and crystal structure to tin selenide (SnSe). The layered structure and strong anharmonicity of these materials result in an ultralow lattice thermal conductivity, which is advantageous for the thermoelectric performance. Further enhancement in thermoelectric properties is expected to improve the carrier concentration and power factor by band structure optimization. In this work, lithium (Li) is proved to be an efficient dopant for SnS and the carrier concentration is increased to 1.3 × 1018 cm-3 at room temperature for Sn0.98Li0.02S. Calculations show that Li doping flattens the edge of the valence band and increases the number of carrier pockets in SnS, which collectively enhance the electronic transport properties. Moreover, the phonon scattering was enhanced by the nano-precipitates and increased boundaries in Sn1-xLixS, resulting in 40% reduction in thermal conductivity at room temperature. Combined with the enhanced power factor (∼3 μW cm-1 K-2 at 848 K) and low thermal conductivity (0.36 W m-1 K-1 at 848 K), the maximum ZT of 0.66 is achieved in Sn1-xLixS bulk samples at 848 K.
Synthesis of Fe3O4/PAM Superparamagnetic Nanoparticles by Using Electrostatic Interaction
Authors: Huang Qingyu , Wang Shuzhi 
Published: January 2020

Abstract
In the study, two kinds of emulsions were prepared, respectively containing nano water droplets (NWDs) with positive and negative charges on the surface. The positive charges nano water droplets, called Fe-NWDs contained Fe2+ and Fe3+ ions and negative charges nano water droplets, called OH-NWDs, contained OH- ions. After the above two kinds of emulsions were mixed, Fe3O4/PAM superparamagnetic nanoparticles (SMNPs) were synthesized in the integrated NWDs by means of electric interaction, co-precipitation and polymerization reaction. The shapes of Fe3O4/AM SMNPs were spherical or ellipsoid ranged in diameter from 80nm to 360nm tested by TEM and the Fe3O4/AM SMNPs had superparamagnetic character tested by VSM. The magnetic saturation value of Fe3O4/PAM SMNPs was 27.38emu/g. The XRD graph indicated Fe3O4 was contained in the SMNPs. The infrared spectrum proved that Fe3O4 was coated by PAM exactly.
Study on Feed Processing and Application of Renewable Plant Humulus Scandens
Authors: Zhou Guangjiao , Feng Xuehua 
Published: January 2020

Abstract
In order to study the feed processing and development technology of the renewable plant Humulus scandens, Humulus scandens were collected, dried and comminuted at the stage of leaf unfolding, flower opening, flower blooming and yellow withering, and processed into direct raw material group, silage natural fermentation group and silage plus bacteria fermentation group. The contents of main nutrients and total flavonoids in Humulus scandens feed were determined and compared. The microbial quantity and fermentation quality of Humulus scandens in withered and yellow period in silage natural fermentation group and silage plus bacteria fermentation group were detected. The results showed that there was no significant change in calcium and phosphorus content in the three groups. The other nutrients in silage natural fermentation group and silage plus bacteria fermentation group were slightly lower than those in direct raw material group. The content of total flavonoids in silage plus bacteria fermentation group was significantly higher than that in other groups. In terms of fermentation quality and microbial quantity, the fermentation of silage natural fermentation group was not obvious, the pH value was on the high side, the fermentation of silage plus bacteria group was obvious, and the quality was also higher. In conclusion, if Humulus scandens is directly used as feedstuff, the best collection time is the blooming period of flowers. If silage and lactobacillus fermentation are used, the value of feedstuff is the highest, but the value of silage natural fermentation is the lowest, so it is not recommended to choose.
Research on Short-term Power Load Forecasting Method Based on Temperature Accumulation Effect Embedded in Time Series
Authors: Jinchang Duan , Zhiyong Li , Haicheng Yao , Bao Li , qiang Zhou 
Published: January 2020

Abstract
Short-term power load forecasting is an important link in power grid dispatching, which has an important impact on unit combination, economic dispatching, optimal power flow, etc. As meteorological factors have great influence on load, the influence of meteorological factors should be considered reasonably in short-term load forecasting. The accuracy of short-term electric charge prediction results can help senior personnel of the power system to make accurate and feasible power operation methods. In order to ensure the safe and stable operation of power grid in various special periods and to ensure the economic benefits of related power enterprises to the greatest extent, it is imperative to establish a highly accurate prediction model. The accuracy of power load forecasting will directly affect the position of each power enterprise in the market. Based on the function of time series embedding, this paper analyzes the rule of cumulative effect on load. The correlation between temperature and load is greatly improved after considering the cumulative effect to deal with temperature correction.
Calculations of factors that affect thermal conductivity in epoxy composites with hybrid carbon nanotube and graphene nano platelet
Authors: Wang Han , Xiao Ercong , Fan Taotao , Li Xiaotuo , Xiao Wenkai 
Published: January 2020

Abstract
Carbon Nanotubes (CNTs) and Graphene Nano Platelets (GNPs) had been used to enhance the thermal conductivity of the epoxy composites and show a synergistic effect. Complex service conditions also put forward the requirements for the structural design of the composites to get better performance. Researches should be done to further understand the mechanism of enhancement in composites and find ways to assist the design and optimization of the structure. In this research, epoxy composites with CNTs, GNPs and hybrid CNTs-GNPs (5:2) were prepared, whose total content of fillers was kept constant at 0.4 vol%. Test of specific surface area shew the hybrid fillers had less aggregation and the composites with hybrid fillers had the highest thermal conductivity. Observing the microstructure of the composites, CNTs were absorbed on the surface of GNPs, forming a cross-network which could improve aggregation and provide channels for the heat. A series of finite element models were established using scripts to find the factors that affect the forming of network and heat flow. A parameter was created to reflect the distribution of the fillers: distance of non-network(DNN). Positions, orientations, ratios, shapes, and sizes are all factors. The effect of angles depends on the relative positions of the fillers. A proper bending degree of CNTs would have better enhancement. The vertical-structure network was created manually and heat flux on the network was shown: GNPs expanded the area of network for the acceptance and release of heat. CNTs provide efficient channels for the multidirectional heat flow. The combination of the geometry expanded the influence region of the network.