bluuebunny/crossref_metadata_2025 huggingface dataset:
Measuring the Relationship among Personal Network with Japanese Language Skill and Fit Well with Life in Japan
Authors: Ridwan Vita Fajriani , Matsumura Nobuhiko
Published: November 2020

The trends of the diverse city spread across the world, not only megacities but also the city where become a destination to study. Challenge for the international student as a new community to accept and connect to the new place and new community. Culture, social and experience influence our perspective of place and region. Language is a tool of communication to connect to others. Personal network influences our perception of the environment. This paper wants to explore the relationship between personal network with Japanese language skill and fit well with life in Japan. One hundred and three international students became respondents to fill out the randomized questionnaire (year, age, country and gender). The data from the questionnaire were analysed with SPSS using the Spearman’s rank correlation. The results showed that there was a positive correlation between personal network and Japanese language skill also between personal network and feel fit well with life in Japan. This research founded that to get the feel in well with life in Japan, more important to connect with Japanese people than Japanese language skill.
Utilization of Corncob Cellulose Isolate (Zea mays) as Adsorbent of Heavy Metal Copper and Cadmium
Authors: Isa Ishak , Setiawati Eka , Mohammad Erni , Kunusa Wiwin
Published: November 2020

This study aims to determine whether the cellulose result of isolation compounds from corn cobs can adsorb heavy metals Copper (Cu) and Cadmium (Cd), as well as to determine the ability of adsorption of cellulose result of isolation. The type of this research is experimental research in chemical laboratory. The method used is quantitative research. The sample used in this research is corn cob waste. The cellulose isolation stage of the corn cob consists of dewaxing, dehemicellulose, delignification and bleaching. Cellulose characterization through water content test, ash content, pH, solubility test, and using Fourier Transform Infrared (FTIR) instrument, Scanning Electron Microscope (SEM) and X-Ray Diffraction (XRD). The cellulose result of isolation was used as a heavy metal adsorbent of Cu and Cd using atomic absorption spectrometry. Based on the results of the research, it is found that cellulose result of isolation from corn cobs has the ability to absorb Cu and Cd heavy metals with adsorption capacity of Cu and Cd is 68.20 and 95,98 mg.L-1.g-1
The Effect of Chitosan of Ark Clam Shells to Reduce Pb and Hg Level and Amount of Bacteria in the Blood Cockles Meatball
Authors: Solang Margaretha , Lamondo Djuna , Kumaji Syam S , Kandowangko Novri Y
Published: November 2020

Chitosan of ark clams shell is regarded as untapped waste; it has potential as a heavy metal chelating agent and anti-bacterial. The objective of this research is to examine the effect of chitosan of the ark clams shell as a chelating agent to decrease of Pb and Hg level in the blood cockles meatball. This research is also aimed at exploring the capability of chitosan of the shell in decreasing the bacteria within blood cockle meatball. This research conducted complete randomized design with the provision of five-level of chitosan concentration, i.e., 0%, 0.5%, 1%, 1.5%, 2.0%. Atomic-Absorbent Spectrophotometric (AAS) method used to examine the level of Pb and Hg within the meatball, while the total of bacteria was determined by using Total Plate Count (TPC) method. The data were analyzed by using Analysis of Variance (ANOVA) and Least Significant Difference (LSD) test. The results reveal that the administration of chitosan of ark clam on blood cockle meatballs reduced Pb levels from 0.195 ppm to 0.168 ppm, while Hg levels reduced from levels of 0.018 to 0.008 ppm, and the number of bacteria from 2.4 × 102 to 1.4 × 102 colony/g. In conclusion, the chitosan of the ark clams shell can ensure the safety of the meatball product.
A Novel design of the solar central receiver to improve the performance of the central solar power tower plant
Authors: Mahmoud Mahmoud Sh. , Khudheyer Ahmed F. , Abdul Ghafoor Qusay J.
Published: November 2020

A novel design for a central receiver prototype was manufactured with dimensions of (50*50) cm staggered configuration using copper pipes of 9.5 mm diameter was tested to produce thermal energy from solar energy, had been analyzed numerically and experimentally. central solar tower receiver prototype was manufactured and mounted at Al-Nahrain University in Baghdad - Iraq, were high solar radiation is available. Heliostats with automated dual axes tracking systems were attained to capture the solar rays. Heliostats used to redirect the sun rays to a central receiver which is constructed using coated copper tubes to convert solar to heat and transfer it to the receiver working thermo-fluid.

According to a precise design consideration presented procedure in this study, a numerical and experimental investigation was performed. Also, an automated tracking system was installed on the heliostat to govern the title and azimuth movements.

The working fluid used is water. The supply tank was manufactured from plastic equipped with a digital flow meter to control flow rate to the receiver. In this study, a detailed layout, investigation for each part is shown. It’s found that optimum tower height is 4.5m, optimum heliostat horizontal distance from the tower is 7m and the offset angle is 30°. Receiver thermal performance enhanced by 6.17% from the one-row receiver and about 12.98% for the evacuated tube receiver.
Autonomous Mobile Robot Navigation Based on PSO Algorithm with Inertia Weight Variants for Optimal Path Planning
Authors: Abaas Tahseen Fadhel , Shabeeb Alaa Hassan
Published: November 2020

Motion planning is an important domain since its performance can significantly affect the utilization of robots. This paper addresses our work to developing a path planner for wheeled a mobile robot using a swarm Intelligence technique for optimal path planning within a short computational time to get better path planning results. Through this technique, we developed particle swarm optimization (PSO) for generating fast and optimal path planning. Inertia weight technique is used for performance comparison of PSO Algorithms to get optimal path planning within a complex environment, PSO with a time-varying mechanism for the inertia weight values (TV-IWPSO), to analyze the performance proposed approach on the of PSO algorithm performance. Finally, the comparison has been done in between TV-IWPSO with both particle swarm optimization with constant inertia weight (B-PSO), and standard particle swarm optimization (S-PSO), in two different maps to performing analysis for algorithms through various environments. The simulation results, which carried out using Matlab 2018a showed that the PSO algorithm with inertia-weight strategy made good results for generating optimal path planning and efficiently than (S-PSO) and (B-PSO) in terms of path distance, execution-time
Safe and Optimum Navigation of Wheeled Mobile Robot using Grey Wolf Optimization Algorithm
Authors: Abaas Tahseen Fadhel , Shabeeb Alaa Hassan
Published: November 2020

This paper discusses our research in developing a track planner for a mobile robot using a swarm intelligence technique for optimal track planning in a short computational time to achieve better results in track planning. Through this technique, we proposed grey wolf optimization (GWO) for generating fastest and optimal path planning. this paper introduces an algorithm for rapid and global motion preparation for a mobile robot in a complex environment with static obstacles. the performing analysis for GWO algorithm was evaluated in two different maps. Finally, A comparative study was evaluated between the algorithm built and the other algorithm exist, the simulation results, which carried out using Matlab 2018a showed that the GWO algorithm made results for generating optimal path planning and efficiently in terms of path distance, execution-time.
The Effect of Water Mixing Temperature on Concrete Compressive Strength Containing Different Ratios of Silica Fume
Authors: Naser Maryam H. , Naser Fatimah H. , Almamoori Ali Hameed Naser
Published: November 2020

This paper presents the experimental study about the effect of water mixing temperature on concrete compressive strength containing different ratios of silica fume by compressive testing of 108 cubes of (150 × 150 × 150) mm dimensions. The parameters were studied; temperature of water mixing, ratio of silica fume and age of test. The specimens were divided into four groups having different temperature of mixing water (20, 40, 60, and 80)° C, each group consisting of three set with different ratio of silica fume (0%, 10%, and 20%), each set having nine cubes tested in a different age (7, 14, and 28 days). In fresh state, the results showed that different water temperatures give different values of slump when the percentage of silica fume is constant, where the slump value decrease by about (2-4) mm for each 20° C increase in temperature. Also, the slump of the concrete decrease about (5-10) mm at each replace 10% from weight of cement by silica fume. In hardened state, the greatest increase in compressive strength obtained at 40° C by about (20-30) % in compared with 20° C and then began to drop slightly at 60° C, but at a temperature of 80° C observed a great decrease in compressive strength. It is also found that as advanced the age of test, compression strength increases but rate of increase fall at high of temperatures due to early curing causing by high temperature of hydration. it was observed in this study when the water temperature increased above 60° C, the presence of SF resulted to decreasing in the concrete strength.
Heat Transfer and Fluid Flow Over a Bank of Circular Tubes Heat Exchanger Using Nanofluids: CFD Simulation
Authors: Kamel Mohammed Saad , Najm Sherwan Mohammed
Published: November 2020

In the present work, the influence of the basefluids and nanoparticle types on the fluid flow and the heat transfer behavior were studied. Numerical investigation has been done over a bank of tubes heat exchanger in a triangular arrangement. Turbulent forced convection of Al2O3 and SiO2 nanoparticles-based water and glycerin nanofluids was predicted, spherical nanoparticles with a diameter of 30 nm and a volume fraction of 3% were assumed in this simulation. Commercial software so called Ansys fluent used as a computational fluid dynamics code to solve steady (2-D) Navier-Stokes and energy equations adopting finite volume techniques. The k-ε model was used to modelling the effect of turbulent. The obtained results demonstrated that the heat transfer for SiO2 nanoparticles based deionized water nanofluids was higher than the other types of nanofluids, which means that this working fluid could be promising cooling liquid in many heat exchange systems. The friction coefficient for all nanofluids reduced with increasing Reynolds number for all tubes. Furthermore, the results showed that the heat transfer enhancement increased with increasing the Reynolds number in all nanofluids with constant volume concentration and nanoparticles size.
Performance of Artificial Neural Networks (ANN) At Transportation Planning Model
Authors: Naser Ishraq Hameed , Mahdi Alaa Muhssin , jasim yousif hashim
Published: November 2020

This study based on Artificial Neural Networks (ANN) in modeling trip production, which represent the first stage at transportation planning. The study analyzed the performance of ANN based on data that collected for central business district (CBD) of the city of Nasiriyah by calculating the all trips (y) that produced from this sector. As results, The ANN model gave a high performance comparative with Statistical Techniques in predicting trips. The coefficient of determination R2 for the number of all trips (y) is (0.948 ) and (0.871) for ANN and Statistical Techniques approaches respectively which is considered as an acceptable relationship obtained; also the ANN prediction model is more accurate for prediction process.
Codigestion of Food Waste with Used Lipids as Substrate Material to Produce Biogas
Authors: Ahmed Ghaidaa M. , Hussien Fawziea M. , Hamad Ahmed J.
Published: November 2020

Anaerobic co-digestion of food wastes process is represents an active technique to enhance the production of biogas as one of the clean energy sources. The effects of adding lipids as substrate material to the food waste mixture for producing biogas by anaerobic co-digestion are experimentally investigated and evaluated at various mixing ratios in the present work. The influence of lipids and food waste (potatoes, tomato, Carrots, Cellulose) mixing ratios, digestion time and other factors on production of the biogas and CH4, CO2 and H2S percent are investigated experimentally. Seven samples of substrate mixtures (used edible oil, waste food, cow dung and water) with various mixing ratios were tested during 32 days as digestion period to investigate the influence of lipids percent compared to food waste on biogas yield. The results show that, average biogas production was in range of 100-160 ml per day and the maximum percent of Ch4 and CO2 were 52% and 46% respectively for the produced biogas. Increasing the lipids percent in the substrates mixture could enhanced the biogas and CH4 production. The mixing sample containing 70% lipids and 30% food waste percent was produced significantly higher biogas and CH4 yields compared to the other mixing samples. Best digestion time of the food waste-lipid mixtures was observed in range of 12-16 days for the tested samples. The maximum cumulative biogas was 5120 ml which was produced by substrate mixture (70% lipid and 30% solid waste) during digestion time 32 days.
Study of Two Layers Horizontal Ground Heat Exchanger Performance Under a Different Operation Mode
Authors: Omran Harith Essa , Hussain Tahseen Ali , Hachim Dhafer Manea
Published: November 2020

This paper presents the thermal performance of two-layer horizontal ground heat exchanger at various mass flow rates of water in cooling mode of alternating and continuous operations. Multi-layer composite pipe (MLC) was chosen as the ground heat exchanger tube material. Effects of mass flow rate variation and mode of operations on ground heat exchanger (GHE) performance are discussed. For this purpose, two-layer experimental GHE was fabricated. In alternative operation mode, heat exchange rate was always higher than continues operation mode in GHE. The outcomes achieved from this experimental investigation are utilized to measure the COP of the GHEs. The experimental results showed that the COP values at the alternating operation mode and after six hrs of operation period were ranged from 2.48 at 0.5 ℓ/min to 8.17 at 3 ℓ/min. While in continuous mode, the COP values ranged from 2.28 at 0.5 ℓ/min to 7.37 at 3 ℓ/min. The results also revealed that the GHEs can be used in cooling applications as ground source heat pump system in Iraq that is considered as a hot weather country.
Combined Vacuum Sensor For Measuring the Density and Composition of the Ionosphere
Authors: Mohammed Al Kadhimi Ali Noori
Published: November 2020

A design of an electron-ion trap for a sensor of the density and composition of the upper atmosphere (ionosphere), intended for placement on nanosatellites, is proposed. It allows you to capture charged particles of any energy and direction of their speed, dividing them by the sign of charge and energy. This ensures the correct operation of the vacuum gauge Converter of this sensor and the ability to register the density of charged particle flows, dividing them by sign and energy. The calculation of the maximum energy captured by the upper system of the trap electrodes and the estimation of the values of the trap currents in the required range of heights was performed. High-energy particles that pass through the upper system of electrodes are captured by the lower system of electrodes.
Self-Powered 6LoWPAN Sensor Node for Green IoT Edge Devices
Authors: Al-Kaseem Bilal R. , Ahmed Anas F. , Abdullah Aws M. , Azouz Tariq Z. , Al-Majidi Sadeq D. , Al-Raweshidy Hamed S.
Published: November 2020

In this paper, a simulation model and practical testbed for green Internet of Things (IoT) edge devices are proposed based on solar harvester with constant voltage-maximum power point tracking (CV-MPPT) technique. Billions of connected edge devices represent the essential part of the IoT through the IP-enabled sensor networks based on IPv6 over Low power Wireless Personal Area Network (6LoWPAN). In traditional IoT edge devices, the stored energy in the non-rechargeable battery determines the node lifetime while it is being depleted with time. Therefore, purchasing billions of such batteries is costly and must be disposed of efficiently. This paper is aimed at simulating and implementing a new class of green IoT edge devices that can report data wirelessly and powered perpetually using clean energy. The developed edge device utilizes solar energy harvesting mechanism through photovoltaic (PV) module, this approach will avoid periodical battery replacement and hence, the energy supplied to the sensor mode is not limited anymore. The implemented testbed is based on open-source hardware and software platforms while the simulation environment is based on MATLAB/SIMULINK 2019a. The effects of temperature and solar irradiance on the performance of the developed approach are examined in order to confirm the leverage of the proposed methodology scheme. The lifetime of the developed green IoT device is predicted based on the device’s activities, current consumption, and energy storage capacity. The obtained results showed that the battery lifetime is extended by 38-49% when the edge device runs on an independent power source.
IoT-Based Monitoring and Management Power Sub-Station of the University of Mosul
Authors: Mohammed Emad A. , Al-Allaf Ahamad F. , Altamer Bilal R.
Published: November 2020

Managing power plants usually involves monitoring many data and parameters that occur within minutes, hours, or days. Nowadays, a mount of digital data can be exchanged, analyzed and easily accessed through modern technology called the Internet of Things (IoT). In this paper, an IoT (using Wi-Fi development kit called Photon) is used to remote control and monitor the performance of the University of Mosul power plant. This includes monitoring the Power Factor, supplied voltage and total load current of each sub-station within the university area. The system also applies a safety feature to completely close the power plant in the event of a serious condition such as a fire. ThingSpeak is used in this paper as an IoT analytics platform service which lets the programmers collect, visualize and analyze incoming data streams to the cloud. The collected data is sent to the ThingSpeak by the Photon devices, create instant visualization of live data related to the monitored station, and send the required alerts. The engineers responsible for the station can monitor the progress of the work of the station through any connected device - a computer or a smartphone - from anywhere in the world and even reprogram the system during operation, if necessary.
Variations Size Investigation in Vegetation and Surface Water Body for Central Part of Iraq using Satellite Imagery Bands
Authors: Abbas Malik R. , Hason Mahir Mahmod , Ahmad Baharin Bin , Rasib Abd Wahid Bin , Abbas Talib R.
Published: November 2020

The variations in vegetation and surface water body sizes play a huge role in the central region of Iraq, which includes three lakes: Al-Tharthar, Al Habbaniyah and Al-Razzaza Lakes. Several temporal satellite images Landsat TM (1990, 2000 and 2007), Normalized Difference Vegetation Index (NDVI) and supervised classification technique were utilized. The current research herein aims to investigate, evaluate and map the changes of vegetation and surface water bodies throughout the period of time for the study area, to know and explain the influential factors for these environmental changes. The final results would help the authorities for assessment and environmental management. The results showed a significant gap in the environmental variations in the study area from 1990 to 2000 and from 2000 to 2007. The period from 1990 to 2000 showed the highest vegetation cover difference. The year 2007 showed the highest vegetation re-growth. The total water surface area of the three lakes decreased for the years 1990, 2000 and 2007. The surface water area percentages of all three lakes in August of 1990, 2000 and 2007 were about 10.6%, 2.5% and 7.6% respectively. The highest water surface area was in 1990.
Study of the effect adding the polypropylene fibers and chemical additives on the behavior of Ultra-High-Performance Concrete
Authors: Al-Mwanes Ammar Oudah. , Aghayari Reza
Published: November 2020

Ultra-High-Performance Fiber-reinforced concrete (UHPFRC)is an improved best of types of concrete containing fibers randomly distributed inside it, and high resistance give. The mechanical properties of concrete have been developed namely, compressive, flexural, and tensile strength by adding the fibers, and some chemical additives (superplasticizers) to reduce the percentage of water, and to ensure suitable workability. Also, the fiber makes the concrete very durable, tougher, and lower permeability. This paper aims to enhance the concrete mechanical properties by adding polypropylene fibers in combination with superplasticizers as a partial cement replacement. Test results give a good improvement by using both polypropylene fibers and superplasticizers. The split tensile strength and the flexural strength are increased significantly from 14.1 to 18.3 MPa, and from 14.28 to 20.85 MPa, respectively. While concrete strength of compression increased from 124.05 MPa to 145.87 MPa due to the inclusion of polypropylene fibers and superplasticizers. This will be seen as the experimental results showed a big improvement within the residual mechanical properties of the UHPFRC which contain the fibers compared to concrete mixes without fibers.
Seepage and Slope Stability Analysis of Haditha Dam using Geo-Studio Software
Authors: Malik Mohammed Karim , Karim Ibtisam Raheem
Published: November 2020

The current study is designed to model seepage and slope stability analysis of Haditha dam (Iraq) using finite element method by GEOSTUDIO 2012 software. GEOSTUDIO software is capable to carry out analysis such as, stress-strain, seepage, slope stability, dynamic analysis. SEEP/W and SLOPE/W are sub programs of GEOSTUDIO which can simulate the movement and pore-water pressure distribution within permeable materials like soil and rock. In the present study Haditha dam, which is an earth dam constructed on the Euphrates River in the middle west of Iraq 7 km upstream from Haditha city in Al Anbar governorate with a total length of the barrier 9064 m was chosen as a case study to simulate the seepage and slope stability analysis. The input data given to the software are the geometry of the dam and its material properties. The flow net is generated by SEEP/W software showing phreatic line, equipotential line, and stream line. Also, the seepage influx is computed by the software. The dam at its actual design was investigated by inspected the water in the reservoir to be at maximum, minimum and normal water level. It was concluded that the dolomite core and the presence of asphaltic-concrete diaphragm and the grout curtain have an important effect on decreasing the seepage quantity through the dam body and the factor of safety values of upstream and downstream slopes stability satisfy the minimum limits for all levels of water.
Groundwater Impact of Samarra city agriculture areas
Authors: Al-Samarrai Ghassan. F. , Khaleel Rana Ibrahim
Published: November 2020

The high population density and land wide variation use led to environmental problems in Samarra city, for this purpose the environmental assessment became an urgent need for underground water rising on some soils properties at study area. Experiment carried out to study effect of rising underground on some properties of soil in Samarra city. Five locations of outskirts in Samarra city, the samples were collected and analysed by standard methods of FAO (2000) and Atomic Absorption Spectrometer (AAS) according the Standard methods (APHA, 2005).The result showed higher percentage in location 5 with value reached (79 and 84 %) and (7.9 and 8.2) on depth 15 and 30cm of humidity and pH respectively. While lower values were (17 and 14) and (6.8 and 7) of humidity and pH with location number one(1) sequentially. Analysis results of EC and HCO3 in recorded high values with location 4 were (4.2 and 4.2 dS/m) and (22 and 20 ml/L) at 15 and 30cm depth, while location No.1 less values given (5 and 3.9 dS/m) and (21 and 16ml/L) for 15, 30 cm respectively.
CFD Simulation of the CO Emissions of Pollutants Contained in Flames H2-C3H8/Air
Authors: Attia Mohammed El Hadi , Chaichan Miqdam T , Driss Zied , Khechekhouche Abderrahmane
Published: November 2020

A mathematical simulation was developed using CFD in this study for the nonpremixed combustion of two co-axial jets of a mixture consisted of propane, hydrogen, and air. The combustion chamber is represented in a three-dimensional cylindrical shape. The study aimed to evaluate the chemical and thermal properties of the mixture in the burner by adopting the following variables: temperature, axial velocity, and emitted CO. The study aims to identify and reduce carbon monoxide emissions to the environment as it is toxic pollutant. The addition of hydrogen to propane because it is a clean fuel that does not emit carbon monoxide as is the case with propane. In this study, the flame propagation velocity of hydrogen gas was compared to that of propane fuel.
An Investigation to the Effects of Impact Strength on Laminated Notched Composites used in Prosthetic Sockets Manufacturing
Authors: Abbas Ehab N. , Al-Waily Muhannad , Hammza Tariq M. , Jweeg Muhsin J.
Published: November 2020

The sockets used in prostheses manufacturing are normally made from materials of high strength/weight ratio for durability and comfort wearing purposes. The sockets may be subjected to impact loading and cause a fracture due to this loading if the material has a low toughness energy. Therefore, the current work is directed to investigate experimentally the determination of impact energy and the toughness of different types of fibers and resins to assess their effectiveness in sustaining the impact loading. Samples were prepared according to the ASTM standard using the fiberglass, Kevlar and carbon fibers with three types of resins araldite, polyester and Orthocryl lamination resin 80:20 with 2-3% hardener. All types of fibers are mat types and 12 layers were manufactured with thickness approximately 4 mm. The layers of the samples were arranged (4 perlon+4 kevlar+4 perlon), (4 perlon+4 glass+ 4 perlon), (4 perlon+4 carbon+4 perlon) and three mixed samples (3perlon+2 kevlar+2 perlon+2 carbon+3 perlon), (3 perlon+2 kevlar+2 perlon+2 carbon+3 perlon), and (3 perlon+2 kevlar+2 perlon+3 carbon+2 perlon). The sample with the lamination (4 perlon+4 kevlar+4 perlon) layers has shown a good ultimate stress=124.7 MPa, and modulus of elasticity = 25.6 GPa with an acceptable of impact energy 13.7 Joule, toughness 147.9 KJ/m2 and a fracture toughness of 65.77 MN/m3/2 using the orhocrylic resin.
The Effects of Honeycomb Parameters on Transient Response of an Aircraft Sandwich Panel Structure
Authors: Sadiq Sadiq Emad , Jweeg Muhsin J. , Bakhy Sadeq H.
Published: November 2020

In this paper, an experimental and numerical investigation were conducted to develop an understanding of the importance and role played by honeycomb design parameters in transient response of aircraft sandwich with honeycomb core under the transient load. Forced vibration under transient load test was implemented on sandwich panel with honeycomb core specimens. Vibration rig with specific equipment was manufactured. Finite element simulation for the sandwich panel with honeycomb core were developed and analyzed by Ansys software package. Modal analysis and transient response analysis have been carry out to obtain the numerical transient response. The obtained results show a good agreement between above approaches with conformity by 85% percentage. The core high, cell size and cell wall thickness were selected to explore the effect of honeycomb parameters on the transient response of sandwich structure. In order to obtain the optimum condition, Response Surface Methodology (RSM) was used. Results showed that minimum transient response were found at 20 mm core height, 25 mm size cell and 1.5 mm cell wall thickness. Where, the optimal value minimum transient response equal to 0.0019 mm.
Effect of using engine oil waste on the characteristics of asphalt binder
Authors: Khalid A M , Ahmed N A , Omar M h
Published: November 2020

Recycled asphalt mixtures (RAM), which are obtained by mixing reclaimed asphalt pavement (RAP), virgin bitumen and mineral additives, grant a range of advantages, consisting of useful resource recycling, rate reductions in costs, and decreased terrible environmental impacts. However, more than one organizations have expressed issues about the utilization ratio of RAP. The principle feature of this learn is to describe and evaluate materials of modified asphalt binder mixes by the use of Fourier Transform Infrared Spectroscopy (FTIR).

This study aims to analyze the effect of waste fuel oil WFO on the characteristics of asphalt binder using Fourier transform infrared FTIR spectroscopy.

The findings of the treatise indicate that the good validity will add a lot of waste oil. This also offered a method for developing oils to create new rejuvenating agent to achieve complex synergism etc. In addition, the waste cyclic consumption and protection of the environment would be realized.
An approach for contingency ranking analysis of electrical power system
Authors: Al-Anbarri Kassim A.
Published: November 2020

This paper presents an algorithm for ranking the critical contingencies in a high voltage power system. The presented approach based on a hybrid weighted performance index. The hybrid performance index measures the overloaded transmission lines and bus voltage deviation out the permissible limits. A linear technique is used in computing the hybrid performance index. The proposed algorithm is applied to the IEEE24 bus reliability test system. There is a good match between the results obtained with the proposed algorithm with those obtained by applying a full AC load flow iterative method.
Nonlinear Finite Element Analysis of Reinforced Concrete Beams Subjected to Torsion
Authors: Handhal Mohammed M. , Jawad David A. M.
Published: November 2020

This work aims to investigate the behavior of rectangular-section of reinforced concrete beams subjected to torsion by using the finite element method. An analytical study is presented in the current work on thirty-four beam specimens divided into two series. Compressive strength of concrete is the main parameter for first series which contains sixteen specimens (high strength concrete HSC and normal strength concrete NSC), the spacing of the stirrups is also investigated in this series. Second series, includes eighteen beams investigated for the effect of some parameter on the torsional capacity. These parameters are amount of longitudinal and transverse reinforcement, yield strength of longitudinal and transverse steel, reinforcement stresses, and crack patterns of HSC and NSC beams.

The results showed that for RC beams, the transverse reinforcement is more effective in resisting the applied torque, it is preferable to use a higher ratio of transverse reinforcement for the NSC and HSC beams, where the increase in ultimate torque was about 94% for an increase in the ratio from 6% to 16%, the effect of yield strength of steel is about 4.1% by changing the yield strength by 13.6% from 440 MPa to 500 MPa. The increasing of transverse reinforcement spacing significantly improves and increases the ultimate twisting angle. The mode of failure for the RC beams is more affected by the reinforcement ratio and the typical mode of failure for rectangular section beams is diagonal tension failure for both concrete grades.
Image Processing Encryption
Authors: Shabeeb Dhulfiqar Mohammed Saad , Ahmed Saadaldeen Rashid Ahmed , Ibrahim Abdullahi Abdu
Published: November 2020

The aim of this research paper is to develop a new approach of image processing encryption using machine learning techniques in python So that the human cannot understand the images because it is in encrypted form and can be securely transfer to its destination. We also used the computer-generated Holography (CGH) technique to encrypt and decrypt images. We first implement an existing algorithm and verify the claims of the authors. We then investigate higher dimensional Baker maps for image encryption. For this, we first propose a new interpretation for the Baker map in terms of a path function S. We then apply the higher dimensional maps for image encryption and experimentally conclude that 3D Baker map suffices for encryption. That is, there is no perceptible performance gained when using higher dimensional Baker maps. Next, in an attempt to use chaotic maps for the diffusion mechanism in the encryption scheme, we embed the diffusion process into the confusion process. For this, we first propose an alternative view of a 2D image as a 3D structure using the binary representation of the image intensity values. We extend this scheme from grayscale images to color images and show its immense value in color image encryption. Lastly, we propose a Baker map based on random walk of the image. Here, we employ sparse decomposition of images as a method of generating the random paths. Random walk-based Baker maps would be more difficult to break than traditional Baker maps because of the chaotic behavior in the walk itself. The significance of images and their sharing is increasing day by day. Their security is becoming an important issue while transferring over a public network. To protect images from hacker’s secret sharing is one of the best techniques. The secret sharing is a way to share a secret with n participants and then setup is made for t or more number of participants who must contribute to revealing the secret. Here t < n is known as a threshold which must be achieved for secret reconstruction.
A Dimensional Analysis of Local Sandy Soil Erosion Induced By Leaky Sewer Pipes
Authors: Nile Basim Kh. , Al-Baidhani Jabbar H. , Ghulam Ali N.
Published: November 2020

Soil erosion is the most important reason that leads directly to the formation of sinkholes in the roads of urban areas. Soil erosion occurs due to the movement of water from and into the surrounding soil through defects in sewer pipes. In the present study, dimensional analysis of the erosion process was carried out and a dimensionless model was proposed to estimate the rate of erosion for local sandy soil. Model tests were conducted under a varying matrix of influencing parameters including: leak size, soil particle size, initial water content, water flow rate, height of water level above the defect in soil, and number of water flow cycle. The experimental model involved soil exposed to cyclic water flow through leaks located at the bottom of the model. Eroded soil is collected, dried, weighted and sieved for each cycle. From the results, it was found that the proposed dimensional analysis prediction model can reasonably estimate the rate of erosion for the local sandy soil.
Study the effect of different types impellers on the transfer coefficient in photobioreactor.
Authors: Thamer Abdulrahman A. , Issa Al haboubi Naseer A.
Published: November 2020

In this research, study the effect of different types of impellers on the overall volumetric mass transfer coefficient, (determination of KLaO2 is very important for photobioreactor design and process analysis, Where through measuring KLaO2, the volumetric mass transfer coefficient of carbon dioxide is calculated based on the following relationship klaCO2 = 0.9 klaO2 Which is one of the most key factors that depend on it in the design of the photobioreactor )then make comparison between them, the impellers type which used in this research is 4-blade propeller, mixed flow impeller, 2-blade propeller(plastic), a hybrid photobioreactor type has been used in this research, which is a mixture of a bubble column and the stirred tank photobioreactor, The variables that studied in this research are the impeller speed (100-500) rpm, the rate of airflow into the reactor (1-4) L/min, and the type of impeller used. KLaO2 can be measured by static gassing out method. Through practical experiments, it was found that the highest value of KLaO2 in the 4 blade propeller was at a flow rate of 2 liters per minute and impeller speed 500 rpm, which equals 0.0091 (1 / s). As for the impeller (mixed flow impeller), the highest value of KLaO2 was at a speed of 500 rpm and a flow rate of 4 L / min which equals 0.0118 (1 / s). The highest value of KLaO2 in the impeller 2 blade propeller (plastic)) was at a flow rate of 4 liters per minute and impeller speed 500 rpm which was equal to 0.0101 (1 / s).A comparison is made between the three impellers on the basis of their efficiency in giving high values of KLaO2, where it was found that the mean value of the KLaO2 for the impeller (mixed flow impeller) is higher than the other impellers, where the average value of the KLaO2 at a speed of (100-500) rpm and the flow rate(1-4)L/min is 0.00806 (1 / s). This means that the type of impeller (mixed flow impeller) has a high efficiency of mixing and mass transfer between gas and liquid. In this study, correlation equations were developed for each impeller to see the correctness of the results according to specific exponents and constants within the range of previous studies and research, and it was found that theoretical volumetric mass transfer coefficient values are close to practical volumetric mass transfer coefficient values.
Study of Shallow Groundwater in Al-Diwaniya City / South Iraq
Authors: Hadi Saad H. , Alwan Husam H.
Published: November 2020

Al-Diwaniya city suffers from shallow groundwater levels, which cause serious problems on the foundation of builds in the area and affect the general health of citizens in residential areas. For investigating this problem, four different paths perpendicular to Shatt Al- Diwaniya were selected, along 11 hand-dug wells in the city to observe groundwater levels during a whole year (2019-2020). The work included observation boreholes water levels and comparing results with water levels in the Shatt al-Diwaniya. Along each of the four selected paths (A, B, C, and D), two boreholes are observed on each side of the Shatt al-Diwaniya. Depths of boreholes are from 6 to 12 m. All boreholes paths that represent shallow groundwater within residential districts. The water level of Shatt Al-Diwaniya and groundwater levels is monitored twice-per-month, especially over high and low water conditions within Shatt Al-Diwaniya. Hydrometric results showed a relationship between shallow groundwater and Shatt Al-Diwaniya levels in track A. The nature of this interaction along with the track A due to many local factors such as depth of water in Shatt Al-Diwaniya, amount of rainfall, factors of high water levels, conditions and climatic changes, soil factors and the current state of the deterioration of the sewage network in Diwaniya city. Finally, the results of the rest tracks indicated that the city is flooded with shallow groundwater due to the large sewage leakage in addition to the rainwater and that Shatt Al-Diwaniya does not affect groundwater in the area. Still, it works discharge groundwater in the city.
Sustainable tourism planning (case study of Al-Manar City - Republic of Iraq) study of potentials and means of development
Authors: Razzaq Al-Adday Ahmed , Valentinovich Prokopenko Vyacheslav
Published: November 2020

This paper examines the possibility of investing in tourism components in the marshes, which, if optimally exploited, makes Iraq an advanced tourist country, especially after the return of water to it and its revival again, by choosing a model in the marshes of the city of Al-Manar to plan a typical tourist village in it and can be generalized In other marsh areas where different tourism components will be exploited and used because this village is similar to the residential villages in the region in terms of the structural form and the method of using transportation to reflect the image of the traditional village of the river, however, it is in line with the requirements of tourist resorts in terms of providing various tourism services that The tourist feels comfortable, and through this tourist village there will be a tourist movement in the region for Arabs and foreigners, which helps in the exchange of information, learn about the heritage of the region, learn about its civilizations and practice various activities, as well as its economic returns through tourism and commercial activity in the tourist village and the region in general, Villages will provide many job opportunities for residents of the region, which reduces the unemployment rate and contributes to social change Cultural in the marsh community.
Modified Advanced Encryption Standard algorithm for fast transmitted data protection
Authors: Ali Huda H , H Shaker Shaimaa
Published: November 2020

With the exponential growth of digital data exchange over the computer network in recent times, protection of information content is becoming a major concern. There are many security risks, which can easily compromise the data transmitted over the network. Cryptography plays an important role in ensuring the security of digital data transmission over these unsafe networks,so in order to ensure secure and fast data transmitted over the network, an enhanced modification for Advanced Encryption Standard (AES) algorithm is proposed and implemented using additional key which generated using linear feedback shift register(LFSR), which provide an efficient technique to pseudo random number generation,also rounds number are decreased . The proposed method give promised result comparing with original AES algorithm result for different data type text, image, and video.
Study of the influence of the unauthorized blocks number on the speed and RAM expenses during the data analysis process
Authors: Maxim Olegovich Tanygin , Vyacheslav Porfirevich Dobritsa , Yahya Alshaeaa Hyder
Published: November 2020

In order to the proper operation of the hardware and software systems and for increase of the reliability of legal data, it is necessary for the hardware device to receive data only from the corresponding software. Otherwise, the data received from extraneous device can lead to errors in the operation of the device or even to a complete loss of its functionality or data. In order to identify the challenges of the transfer of blocks, this study focuses on the influence of the number of unauthorized blocks, on the speed and RAM expenses during the data analysis process. The described method allows to reduce the costs of hardware, which exchanges and analyzes blocks of information. This is done with the help of a buffer to store information and with a set of mathematical equations. And measure the extent of the effect of intensity of receiving unauthorized blocks and hash field length.
Real Time Sleep Onset Detection from Single Channel EEG Signal Using Block Sample Entropy
Authors: Zobaed Talha , Ahmed AHMED Saadaldeen Rashid , Musa Miah Abu Saleh , Masuda Binta Salma , Ahmed AHMED Mohammed Rashid , Rashid Mamunur
Published: November 2020

In recent years, driver’s temporary state has been one in each of the foremost causes of road accidents and would possibly lead to severe physical damaging, mortality and necessary and noticeable economic losses. Maximum road accidents possible to avoided, if possible, to properly monitored driver’s drowsiness and a system are given warnings. In this work, a simple and inexpensive method has been offered to detect driver’s drowsiness or sleep onset detection with single channel EEG signal analysis. The key novelty of this work is to identify the sleep onset detection from a publicly available graph signal dataset by exploitation only one feature, simply implementable filter in any microcontroller device or smartphone and a threshold based mostly classification. Since, threshold-based classification techniques don’t need to train the classifier, hence, new subject adaptation is comparatively easier and real time implementation is more feasible. This novel approach can be easily implemented in smartphone to design and expand a drowsiness detection and alarming system for vehicle’s driver. On a variety of subjects, the experimental results show 95.68% accuracy.
Management of Mobile Knowledge Base
Authors: Salal Hasan Luma
Published: November 2020

In the past years, Most organization have been disconnected management technologies. Now a day, organization seeking to increase innovation with models of business that moving to out sourced solutions, improving processes.

Knowledge management process today is increasing especially the acquisition and discovery carried out in mobile environment by the customers houses out of ever or through the road, bus train as where the mobile device are used instead of computer device for accessing to the high band width the network. Mobile knowledge management (mkm) is understand as usage of mobile accessing for establishing knowledge and document management system with user interface design.

In this paper show how the knowledge will be managed for mobile environment. then describe the types of mobile knowledge database which differs on the basic of knowledge processes on database. Aslo, show how built the mobile management system. In addition, define the technical media that’s used in the mobile environment.
Android application to retrieve car details from car plate numbers
Authors: Rashid Ahmed Saadaldeen , Rashid Ahmed Mohammed , Abdulwahhab MAJEED Doaa , Hazim Hammed Azal , salam Daham Asayel , Hazim Hammed Elaf
Published: November 2020

Computer vision is a field in computer science that has had great success due to the increasing popularity of machine learning. Instead of having a human look at images and decide what they depict, we are able to teach computers to recognize patterns of previous images and see the resemblance in new images. In this paper we will get car all information from his number plates through an Android Application which use image preprocessing and YOLO (You only look once) technique to detect the plates and then optimal character recognition to read the plates and Arabic numbers of the cars in Iraq and we have trained it using darkflow. Every Car has its unique Licensed number plate which will be scanned and give the details about the car. Computer vision can also be used to read alphanumeric characters in images and turn them into text. We have implemented API to detect the text and number in the plates. The purpose of this project is to develop a system for our Government and Police So that If police need details about any car he would easily access it. We have achieved the accuracy of 92.23% which means out of 3500 number plates 3220 read correctly.