bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical Investigation on the Effect of Radiant floor panels configuration on Thermal comfort condition in Occupied zone
Authors: Kassim Muna S. , Abdulghafor Israa A. 
Published: March 2020

Abstract
Radiant floor heating panels of a room with different locations is modeled by using CFD. All cases is simulate by employing k-ε equation turbulence model. After validation of code, average room air temperature, vertical air temperature difference and velocity of room air are used to predict the thermal comfort conditions in the occupied zone. Effect of indoor room air temperature and radiant floor heating panel locations on thermal conditions in occupied zone is studied. The results present that both the indoor room air temperature and radiant floor heating panels locations have effect on thermal comfort conditions and at low indoor temperature the radiant floor heating panel is insufficient to achieve thermal comfort conditions but can be reduced heating load.
Experimental and Numerical Assessment of a Multi-Cylinder Engine Exhaust Manifold
Authors: Assi Wisam Nasser , Ali Mohammed A. N. , Allawee Aseim S. 
Published: March 2020

Abstract
This research presents an experimental and numerical analysis to examine the thermal loading of the exhaust manifold of a multi-cylinder gasoline engine operating under steady-state conditions. The local skin temperatures and surface heat fluxes variation are focused throughout the external surface of the exhaust manifold. A 3D modeling and simulation are employed in the numerical analysis using Solidworks software for modeling and ANSYS software for simulation. The generated numerical results are in good agreement with the measured exit gas temperatures and skin temperatures experimentally.
An experimental investigation on the effect of hybrid Nano fluid (Al+Al2O3/distilled water) on the thermal efficiency of evacuated tube solar collector
Authors: Salman Ahmed M. , Anead Hosham S. , Sultan Khalid F. 
Published: March 2020

Abstract
The objective of this research is to explore experimentally the impact of using (Al+Al2O3/distilled water hybrid Nano fluid) as the working fluid on the thermal efficiency of the evacuated tube solar collector with inner cylindrical coil within the vertical tank. The nanoparticles volume fraction was 1,3 and 5 % with the( 50 nm) dimension of nanoparticles. The performance of the evacuated tube solar collector (ETSC) utilizing (Al+Al2O3) hybrid Nano fluid and water was compared to the flow rate within the coil ranged from 15, 30 and 45 l/h.rm2. The results of the current research showed that the highest effectiveness of the solar collector 24.89% for mass flow rate of Nano fluid 45 l/hr.m2 and nanoparticles volume fraction of 5% vol. Findings show that (Al+ Al2O3) hybrid nanofluids could be utilized in an ETSC as working liquids to absorb heat from solar radiation and effectively transform solar energy into thermal energy.
Experimental study of the effect of impeller blades different shape on centrifugal pump performance
Authors: Jurmut Hasan Ali , Al-Hamadani Haider , Hashim Walaa Mousa 
Published: March 2020

Abstract
The influence of two different shapes impeller blades on performance of centrifugal water pump is experimentally investigated under different operational conditions. Test rig is designed and used to operate the required pump during different conditions. The centrifugal water pump is tested under different flow rate with two types of impellers each one consists different blades angle. The experimental results showed that the impeller blade different geometry could improve the water pump mechanical efficiency, the head, the power, and the volumetric efficiency by 11.7, 15.38, 24.2, and 12.9% respectively. The experimental results showed better centrifugal water pump performance when impeller blade with higher outlet angle is used.
Free vibration of isotropic plates with various cutout configurations using finite elements and design of experiments
Authors: Jadee Khudhayer J , Abed Balsam H. , Battawi Ali Adel 
Published: March 2020

Abstract
This work represents a finite element analysis of free vibration of isotropic plates with different cutout shapes, areas, locations and aspect ratios. Modal analysis was carried out using the ANSYS APDL software to evaluate the fundamental frequencies. ANSYS model was validated in the first stage and showed good agreement with the selected literature works. Furthermore, the selected cutout parameters were investigated to assess which parameter is more effective on the frequency. It is found that these parameters was overlapping, therefore Design of Experiments was conducted. Results revealed that the aspect ratio of the cutouts is the most significant factor on the fundamental frequency.
Numerical analysis for enhancing transferred heat in porous counter flow heat exchanger
Authors: Maid Isbeyeh W. , Hilal Kifah H. , Lafta Noor Samir 
Published: March 2020

AbstractThe numerical analysis is accomplished to simulate the heat transfer in double tube heat exchanger with and without porous media by utilizing ANSYS FLUENT 14.1. A geometry system is used to predict the heat transfers and pressure drop characteristics of the flow. Alumina (2.5mm diameter) as a porous media were added in to: inner tube (IP), outer tube (OP) and both tube of heat exchanger (IOP) were tested with the variation of hot and cold fluid inlet temperature, mass flow rate ratio (mr) to evaluate their influence on effectiveness of heat exchanger, Nusselt number, number of heat transfer unit. The evaluating has been performed in the steady-state. Water was used as a working fluid in a double tube heat exchanger. The study was conducted at the hot and cold water mass flow rates between ( 0.0166 - 0.0833kg / s), ( 0.05-0.116 kg/s) respectively. The inlet temperatures of cold and hot water were (20, 25 °C), (47, 55 °C) respectively. Noted from results that adding pad of porous increases effectiveness of the heat exchanger and the increasing rate of transferring heat as mass flow rate ratio increases and the highest value are obtained when alumina is in double pipe. Effectiveness decreases with increase in mass flow rate ratio but increases when using alumina as a porous media and the better value is obtained when alumina is in IOP, IP, OP and NP respectively. Effectiveness increased as the NTU increases.
Synthesis of Chitosan-Silica Nanocomposite for Removal of Methyl Orange from Water: Composite Characterization and Adsorption Performance
Authors: Mohammed Mohammed I. , Ismael Mustafa K. , Gönen Mehmet 
Published: March 2020

Abstract
Commercial chitosan (CH) was compositing with nanosilica prepared by the sol-gel method and was applied as an adsorbent for removal of Methyl-Orange (MO) dye from wastewater. Chitosan-Silica (CHS) was characterized by scanning electron microscopy (SEM), X-ray diffraction (XRD), atomic force microscopy (AFM), fourier transforms infrared spectroscopy (FTIR) and BET. The adsorption capacity of MO on CHS reached maximum 7.0mg.g−1 on pH range 2.5 to 5, at equilibrium time 20 min. The effects of parameters, such as contact time, the adsorbent dosage of adsorbent, initial dye concentration on the removal of MO dye were examined. In general, the short time of MO dye removal, high adsorption capacity high, and dispensability in water, easy to remove by filtration suggests that CHS possesses high potential application for removal of MO from water, and can be considered as an eco-friendly adsorbent in water treatment processes.
Experimental and Numerical Analyses of Different Boundaries Conditions on Composite Spherical Shell Cup by using APDL programmed
Authors: Al-Shamma Fathi A. , Kassab Ban Hussein 
Published: March 2020

Abstract
Many researches have been done to obtain the factors that affect the value of the natural frequency for composite shell. The free vibration of composite spherical shell cap under impact loading is investigated in this study. The analysis is carried out theoretically using the higher-order shear deformation theory for composite spherical shell under impact loading, the results obtained was compared with numerical analysis using APDL program in the ANSYS software and experimentally using the hummer impact testing system and sigview program. The effects of radius of curvature, Thickness and boundary conditions (built in, quarter built in (arc), simply supported) on the basic frequency of orthotropic composite spherical shell cap have been investigated. The results show the dynamic characteristic it must be seen the rate of decreasing or increasing in the natural frequency of the composite material to take into consideration the effect of duration of impact loading on the dynamic properties of spherical composite shell. Selective composite material and its composition are 50% (0-90) woven fiber glass and 50% polyester resin.
Improved Prosthetic Hand Control with Synchronous Use of Voice Recognition and Inertial Measurements
Authors: Alkhafaf Omer Saad , Wali Mousa K. , Al-Timemy Ali H. 
Published: March 2020

Abstract
Voice control is one of the easiest means of interacting with machines, as no extra effort is required to generate a control signal. In addition, voice control is more intuitive than other control methods. Many studies use voice recognition to control medical devices and hand prostheses in real-time, but its use has some limitations. Furthermore, some studies take advantage of inertial measurement of the body organ to control the hand prostheses. By reviewing the advantages and limitations for each control method faces, a new synchronised control system proposed, that combines voice recognition and inertial measurement based on three combination strategies to render the prosthetic hand more dexterous, feasible, and easy to use. Five participants tested the control system based on the combination strategies to perform simple and complex prosthetic hand movements. The results showed that voice recognition had about 99% accuracy and rapid response time. Moreover, the inertial measurement control system improved the accuracy of the system, increased the degrees of freedom, and made the use of the prosthetic hand easier and more feasible.
Analysing and Distinguishing Images of Failed Skin Cancer using Modern Swarm Intelligent Techniques(MSITs)
Authors: Aljanabi Mohanad , Abed Jameel Kaduim , Ali Mohammed Sabah , Jasim Jasim Mohmed , alani Nadia 
Published: March 2020

Abstract
One of the damaging diseases among people in the world is skin cancer. Skin cancer leftovers an important scientific, clinical and public task. Swarm intelligence techniques (SITs) are new, improved and modern methods for optimization algorithms. Failure of detection in skin cancer images can be seen in SITs. This work proposes an efficient image and examines for some samples in this disease. The study presents a simple technique for a pre-processing and an automatic detection of SITs to make the needed analysis. This paper estimated all these various models using the PH2, Dermis, ISIC (2016, 2017, 2018) segmentation challenge dataset. The input images are improved for better processing than, the lesion sampling is segmented from the improved image by using Otsu thresholding and median filter operations. In the earlier studies, skin cancer is analyzed by means of several optimization algorithms. Now, the outcomes of the above algorithms were compared with the dice coefficient and it was demonstrated that the value of 97.35% which is nearer to manual segmentation. The accuracy the value of 98.58% when used for solving the same problem. To this end, a somewhat comprehensive analysis was showed to compare the effectiveness of many parameters’ combinations.
Wheelchair Control System based on Gyroscope of Wearable Tool for the Disabled
Authors: Jameel Huda Farooq , Mohammed Salim Latif , Gharghan Sadik Kamel 
Published: March 2020

Abstract
A wheelchair control system based on Gyroscope of wearable tool can serve the disabled, especially in helping them move freely. The recent evolution of new technology means that unassisted, free movement has become possible. For this purpose, human–machine interface hands-free command of an electric-powered wheelchair can be achieved. In this paper, an electroencephalogram instrument, namely the EMOTIV Insight, was implemented in a human–computer interface to acquire the user’s head motion signals. The system can be operated based on the user’s head motions to carry out motion orders and control the motor of the wheelchair. The proposed system consists of an EMOTIV Insight brain-based gyroscope to sense head tilt, a DC motor driver to control wheelchair speed and directions, an eclectic-powered wheelchair, microcontroller, and laptop. We implemented the system in practice and tested it on smooth and rough surfaces in indoor/outdoor settings. The experimental results were greatly encouraging: disabled users were able to drive the wheelchair without any limitations. We obtained a significant average response time of 2 seconds. In addition, the system had accuracy, sensitivity, and specificity of 99%, 99.16%, and 98.83%, respectively.
UWB Pentagonal Shaped Fractal Patch Antenna for Wireless Capsule Endoscopy
Authors: Nizar Hammed Mayss Alreem , Fayadh Rashid Ali , Farhan Hamid Mohammed 
Published: March 2020

Abstract
The capsule endoscopy device is one of the most important devices that have been invented recently because of its importance in facilitating the process of imaging the digestive system. The process of developing and improving the transmitter in the capsule is one of the most important things to improve images and accelerate the process of imaging. Microstrip antenna will be used because it has several benefits such as small size, ease of manufacture and low cost. In this paper, the microstrip antenna was designed with ultra-wideband technology (UWB) by using fractal geometry. The proposed antenna has a return loss of -25.1 at 5.45 GHz and VSWR of 1.13. Also, the radiation patterns are Omni-directional radiations over the UWB bandwidth.
Real Time Pacemaker Patient Monitoring System Based on Internet of Things
Authors: Abdul-jabbar Hassnaa Mustafa , Abed Jameel Kadhim 
Published: March 2020

Abstract
Daily, the Internet of things is becoming increasingly popular in the field of remote monitoring as well as the increasing number of patients with cardiac pacemakers, especially those who need a pacemaker. In this research, a new method of monitoring ECG has been developed for patients who are implanting pacemakers. the develop system is the ability to transfer of the display screen that exist in the special website (www.thinger.io) by using the Wi-Fi protocol, Also, helping them to transmit their data over long distances and different places in real time depending on Internet objects (IoT). The system helps to transfer the ECG, temperature and the detector of magnetic field across the website to solve the problem of the inability of the doctor to monitor the patient from home continuously, as well as in the case of a doctor in another country. In the end of paper the system will be reliable to display ECG data with 70 beats, temperature with 37.12c and warning in the form of light if a magnetic field comes near the system, which can help facilitate patient follow up after implantation of the pacemaker.
Free Battery-based Energy Harvesting Techniques for Medical Devices
Authors: Mahmood Mustafa F. , Mohammed Saleem Lateef , Gharghan Sadik Kamel 
Published: March 2020

Abstract
Many wearables or portable medical devices have limited battery energy. Such batteries cannot operate for a long time and require recharging or periodic replacement. A piezoelectric transducer (PZT), ultrasonic sensor (USS), and magnetic resonator coupling (MRC) are potential technologies for solving this problem, being promising technologies that can be used to generate free power for low-power medical applications. The USS and MRC optimize transfer power, efficiency, and distance between the transmitter and receiver. These three technologies can generate power to wearable and implantable medical devices (IMDs). To validate the proposed PZT, USS, and MRC, we supplied electromyography (EMG) sensor, a heart rate sensor, and oxygen saturation (SpO2) sensor with adequate power to measure the subject’s muscle activity, heart rate (beats per minute, bpm), and SpO2 rate, respectively. The proposed system consists of four parts: power system, measurement part, wireless transmitter, and monitoring part. We found that 5 V could be used for charging 0.25, 0.33, 0.5, and 1 Farad supercapacitors based on the PZT at duration. Furthermore, the 0.25 F supercapacitor was fully charged in 41 min; compared with previous closed-circuit studies, it achieved high power of 197 μW at resistive load 15 kΩ. In addition, USS-based transfer efficiencies and powers could be used with 1, 4, and 8 F supercapacitors. The system had transfer efficiency and power of 69.4% and 0.318 mW, respectively, at 4 cm when 4 F was adopted. Furthermore, the MRC system had transfer efficiency and power of 21.14% and 2.079 W, respectively, at 7 cm at resistive load 70 Ω. Our results show that the PZT, MRC, and USS in the present study outperformed previous works in terms of power generation, transfer power, and efficiency.
An Elderly First Aid System Based-Fall Detection and Unmanned Aerial Vehicle
Authors: Fakhrulddin Saif Saad , Gharghan Sadik Kamel 
Published: March 2020

Abstract
A first-aid system is proposed for monitoring elderly patients who risk falling based on fall detection system (FDs) and for providing the first aid kit from an emergency call centre (ECC) to them by using an unmanned aerial vehicle (UAV). In previous studies, the measurement accuracy of falls and heart rate was not sufficiently accurate. In addition, determination of UAV delivery time is also crucial and can save lives. In this work, the proposed system aims to determine patient falls and accurately measure heart rate and reduce UAV delivery time to patients. The FDs was practically implemented based on heartbeat and accelerometer sensors, a microcontroller, a GSM module, and GPS. While, a UAV, a first aid kit, and Smartphone were adopted in an ECC. Falls were accurately detected based on elderly fall detection (EFD) algorithm. The result showed that the proposed FDs was succeeded in monitoring elderly patients’ vital signs with a fall detection accuracy of 99.11%. In addition, the UAV succeeded in all missions and arrived at the patient’s locations before the ambulance in urban areas, with an average time saving of 1.75 min. The proposed elderly first aid system outperformed previous systems presented in terms of fall detection and UAV arrival time.
A review ABCDE Evaluated the Model for Decision by Dermatologists for Skin Lesions using Bee Colony
Authors: Aljanabi Mohanad , Enad Mahmood H. , Chyad Radhi Muhssin , Jumaa Fadhel A. , Mosheer Ahmed Daud , ali Altohafi Alaa Sami 
Published: March 2020

Abstract
Systematic self-skin check-ups for patients have been exposed to reduce the deepness of skin lesions at the time of analysis and simplify a lower hazard of stages of skin cancer when joined with normal visits with a doctor of medicine. Images of skin lesions are also taken with a camera or introduced from public databases. Loading investigational outcomes within a robust databases set-up, which is broadly maintained by study tools, affords supplementary-edibility and agrees various examination tools to the admission databases in the same effective style, because of above-mentioned hurdles, the automation of lesion border detection in dermoscopy are required. To solve this problem, this paper developed ABCDE skin lesions boundary technique with a healthy control pointer function, which is based on colony bees’ scheme (ABC method). The estimated performance parameters and calculation times are equivalent or improved than above-mentioned approaches. This all-ABCDE application is planned to be informal navigate for the end user, which is imperious for the final democratization of such medical diagnostic classifications. The resulting segmentations that can be used as an input to test the skin lesions are benign, suspicions and melanoma classification system.
Design and Implementation of Breathing Rate Measurement SystemBased on Accelerometer Sensor
Authors: Shabeeb Ali Ghazi , Al-Askery Ali J , Humadi Abbas Fadhal 
Published: March 2020

Abstract
Respiratory rate is considered as an important factor in analyzing disease disorders, such as sleeping disorders and other respiratory illness. Researchers have considered the detection of respiration presence, however, calculating the respiration rate as an assessment factor to the respiratory disorders was not fully utilized. According to that, detecting the abnormality in the respiration rate will not be possible due to ignoring this important parameter. In this paper, developing a virtual instrument in laboratory virtual instrument engineering workbench (LabVIEW) by using an accelerometer sensor was mandatory. Accelerometer sensors are attached to the chest and abdominal wall to collect the respiration data while breathing. Then, without losing the measured signals, a converter is used to achieve a measured waveform from the collected signals, and by using a threshold level detector, the abnormality for each case can be detected and saved with the measured data on an Excel sheet. The proposed system provides the possibility of observing the breathing rate by monitoring the patients continuously for long time and concerns to the patient recording comfort with data storing possibility and with the possibility of calculating the breath to breath interval.
Enhancing the Prediction Accuracy for Cardiotocography (CTG) using Firefly Algorithm and Naive Bayesian Classifier
Authors: Ali Kadhim Noora Jamal , Kadhim Abed Jameel 
Published: March 2020

Abstract
Recently, there is a huge amount of data accessible in the field of medicine that enables physicians diagnose diseases when analyzed. Data mining technology can be used to obtain knowledge from these medical data in order to make disease prediction accurate and easier. In this study, cardiotocography (CTG) data is analyzed using an integrated Naive Bayesian classifier nbc with firefly algorithm. Firefly algorithm is suggested to find the most relevant subset of features, which maximize the performance accuracy of nbc and minimize the time required for classification process. It was discovered that the nbc was capable of defining the Normal, Suspicious and Pathological state of the type of the CTG data with very good classification accuracy. the proposed method achieved accuracy with (86.547%).
Localization Techniques for Blind People in Outdoor/Indoor Environments: Review
Authors: Al-kafaji Rasha Diaa , Gharghan Sadik Kamel , Mahdi Siraj Qays 
Published: March 2020

Abstract
One of the major challenges frequently encountered by blind people is an inability to determine their location accurately in unfamiliar outdoor and indoor environments. Localization accuracy in indoor environments and energy consumption are two of the major problems facing the localization systems. Numerous outdoor/indoor localization methods have been proposed with a view to solving this problem. A review of the published research, giving an overview of recent developments and applications of pervasive localization systems for blind people, is presented in this paper. In addition, the review highlights a number of experiments involving the deployment and operation of localization systems. The research considered in this review includes current prototypes, experimental studies, and employed algorithms over the period from 2014 to 2019. The paper identifies 29 articles describing 29 different systems which aim to improve the lifestyle of blind people. For each system, the type of implementation, type of wireless network, and employed algorithms are detailed and their problems, solutions, limitations, and gaps are highlighted. A new system is proposed to tackle the shortcomings of the existing solutions found in previous work. Thus, an integrated easy, flexible, wearable, low power consumption, and high localization accuracy system can be obtained.