bluuebunny/crossref_metadata_2025_split huggingface dataset:
STRENGTHENING OF SELF-COMPACTED CONCRETE TWO WAY SLABS WITH OPENING USING NEAR SURFACE MOUNTED (NSM) FIBER REINFORCED POLYMERS (FRP) TECHNIQUE
Authors: Hamad Azhar G. , Mohamad Ali Anis A. 
Published: November 2020

Abstract
The effectiveness of near-surface-mounted carbon-fiber-reinforced polymers on strengthening of self-compacted concrete two-way slabs with opening was investigated experimentally. The experimental work included testing eighteen specimen two-way slabs with an opening, which included 6 control specimens and 12 strengthened with CFRP strips and tested under four-line load around the opening. The dimensions of the slab specimens are (1000 × 1000) mm, (100) mm depth. The reinforced concrete slabs containing a single concentric opening with 3 different skew angles (0°, 30° and 45°) strengthened by CFRP strips. Strengthening effectiveness was investigated on slabs using near-surface-mounted carbon-fiber-reinforced polymer strips with inclined and combined configurations. The results showed, firstly, that the load-carrying capacities of the self-compacted concrete slabs with openings have been decreasing with skew angle increasing and secondly that using near-surface-mounted carbon-fiber- reinforced polymers increases the ultimate strength of two way slab selfcompacted concrete slabs by (1%—32%) for both strengthening configurations, with the combined configurations performing better. Also, the cracking load and stiffness increased, while deflection and toughness decreased.
Experimental study for steel arch beams of compact section with circular web openings
Authors: Hemzah Sadjad A. , Abdul Rasoul Zainab M. R. , Naser Zahraa A. 
Published: November 2020

Abstract
An experimental study for the behavior of steel arch beams with and without web circular openings, non-strengthened and strengthened using steel stiffeners had been investigated. Seven models of simply supported I shape steel compact section arch beams have been tested in laboratory. One of the models was without opening as control beam and the other six models were with openings and divided into two groups: Group (1) consist of three arch beams with different numbers of non-strengthened circular openings in various locations, Group (2) consist of three arch beams with circular opening and strengthened with steel stiffeners. There are four parameters considered in the test: existence of circular opening, location of opening, number of openings and strengthening effect using steel stiffeners. The test results showed that the presence of openings in the web at midspan of steel beams decrease the ultimate load capacity by about (12%) while edges openings had no significant effect on ultimate strength with same opening diameter.
Investigation and study of hydraulic fracturing and the efficiency of this in oil reservoirs naturally fractured and caven
Authors: Obeidavi Abdolrahman , Alattabi Abdulhuseeien N. , Salemi Ebrahim 
Published: November 2020

Abstract
Hydraulic fracture operation is one of the key technologies for the development of caven reservoirs. Modeling of hydraulic fracture processes to factors such as Situation of tensions, Shear strength and Orientation of natural fractures in the reaction(In particular, the potential for opening cracks in areas that are growing along the path of a hydraulic fracture) And also the length and height of the hydraulic fracture. Due to the presence of natural fractures with diffuse penetration and different orientations, the operation is complicated in caven reservoirs. For this purpose, two numerical methods are proposed for simulating the hydraulic fracture in caven reservoirs.In this paper, the hydraulic fracture model is considered in terms of the state of tensions, On the reaction between the hydraulic fracture and the natural fracture (45 °) And also the effect of length and height of hydraulic fracture, Developed and how to distribute induced stress around the well, In order to determine the direction in which the hydraulic fracture is formed in that direction The finite difference method and theindividual element for numerical solution are used and simulated.An inverse suction is an important parameter And in the operation of the hydraulic fracture will reduce production,This simulation is being studied. In every length of the hydraulic fracture, The rate of production is measured and the causes of changes in the input rate to the wells are discussed based on the natural fractures cut by the hydraulic fracture and the induction of the fracture. Finally, it can be seen that the optimum hydraulic fracture time will be The hydraulic fracture is able to connect natural fractures with large and large streams And finally, it is connected to the well, and there is a fundamental difference between the tensile and shear opening. The analyzes indicate that the growing hydraulic fracture, the tensile and shear stresses applied to the natural fracture.
Modified PRESENT Encryption algorithm based on new 5D Chaotic system
Authors: Jawad Kubba Zaid M. , Hoomod Haider K. 
Published: November 2020

Abstract
Cryptography is a major concern in communication systems. IoE technology is a new trend of smart systems based on various constrained devices. Lightweight cryptographic algorithms are mainly solved the most security concern of constrained devices and IoE systems. On the other hand, most lightweight algorithms are suffering from the trade-off between complexity and performance. Moreover, the strength of the cryptosystems, including the speed of the algorithm and the complexity of the system against the cryptanalysis. A chaotic system is based on nonlinear dynamic equations that are sensitive to initial conditions and produce high randomness which is a good choice for cryptosystems. In this work, we proposed a new five-dimensional of a chaotic system for a lightweight cryptographic algorithm. The proposed new chaotic system considers as super chaos. The NIST suite of all 15th tests is examined the proposed algorithm and showed high randomness and complexity.
Hybridization Method Based ECG Signals Classification
Authors: Al-din M. N Saif , Shawkat Abdulbaqi Azmi , Yusuf Panessai Ismail@Ismail 
Published: November 2020

Abstract
The ECG (Electrocardiogram) is the common reliable and easiest to utilize tool for diagnosis of cardiac arrhythmias. Manually diagnosing the arrhythmia beats is very hectic, as the ECG signals are non-linear and produce long records for analysis. It is very difficult for specialists to evaluate time domain features of minute variations, such as lines, intensity & intervals of ECG Signals in pure human judgments. This manuscript discusses an automatic approach to machine learning and the outcome of the initial algorithm identification of five separate heart rhythms. Support Vector Networks (SVN) is utilized to remove the features and besides that Independent Component Analysis ( ICA) is the technique utilized to provide reduction of dimensionality. The kernel support vector machine function works for the tenfold classification and the ECG Signal cross validation. The concept of variance analysis is utilized to select significant features, and accuracy reliability is measured by the assist of Cohen’s kappa statistics. The publicly available MIT-BIH database on arrhythmias is utilized to analyze various types of arrhythmias. This is a massive ECG data collection of various types of records and it includes five separate groups of classification arrhythmia such as SupraVEB, Non-ectopic, VEB, Unknown Beat(Ubeat) and Fusion beat(Fbeat). This methodology will produce an efficient tool to check a person’s cardiac health which will produce a smart, automated technology for the specialist and paramedics to deal with heart arrhythmia.
Virtual Environments Utilization for ECG Signals Analysis and Evaluation: Towards Heart Condition Assessment
Authors: Shawkat Abdulbaqi Azmi , Yousif Enas S. , Al-din M. N Saif , Yusuf Panessai Ismail@Ismail 
Published: November 2020

Abstract
The utilization of heart Electrocardiograms (ECGs) is to measure irregular heart rate and regularity and detection of an arrhythmia. Various ways are submitted and utilized for cardiogram feature extraction with a reasonable percentage of right detection. Although the problem stays open, especially with respect to superior detection accuracy in ECGs. In nature, The ECG signals are very sensitive signals, having voltage-level as low as 0.5-5 mv and frequency-elements fall into the range of 0.05-100Hz and the largest amount of the information received in the range of 0.05-45Hz. The recorded ECG signal includes various kinds of noises such as baseline wander, channel noise which becomes very critical to eliminating for the best clinical finding which assists in the patient. The utilization of the discrete wavelet transform (DWT) as wavelet transforms can be utilized to be a two-dimensional time scale process technique for feature extraction and classification task, therefore it’s appropriate for the non- stationary ECG signals (because of the sufficient range values and the shift in a timely) in LabVIEW. To implement the feature extraction and classification tasks, a separating wavelet transformation (consonant), and the wavelet transform can be two-dimensional time-scale practical technique was utilized. Hence, it is relevant for non-constant ECG signals (because of sufficient scale-values and transformation in timely) in LabVIEW. The flexibility, standard nature and simplicity to utilizing programming possible with LabVIEW, makes it less complex. The pro-posed algorithm is executed in two steps. First step, de-noises the signal from the cardiogram signal to get rid of the noise, then detects the pulse, our extracted parameters are heart rate, P wave amplitude, T wave amplitude, S value, Q value, R-value, P offset location, P onset location, T onset location, T offset location and the location of P, Q, R, S and T wave.
Various Denoising Techniques Utilization For Qualitative Analysis of ECG Signal: Towards the Proper Diagnosis of Cardiovascular Disease
Authors: Alawi Ahmad Tahseen 
Published: November 2020

Abstract
Electrocardiogram (ECG) is an extremely powerful method for cardiovascular disease identification. Nevertheless, the ECG data is corrupted during the recording of ECG signals by several forms of noises as for example, power lines interference, base lines wandering, electrode movement, muscle movement (EMG) etc. Such noises / artifacts confuse the proper diagnosis of heart ailments and therefore their removal is much needed. Up to some degree traditional filters exclude the artifacts, but these filters are static and cannot adjust their coefficients to environmental change. Adaptive filtering algorithm and EMD are also utilized to exclude artifacts from the ECG signals. To decompose a signal whose IMFs represents the mean of a set of measurements, each consisting of a signal plus a white finite amplitudinal noise.
Classifying Facial Expression using Convolution Neural Network
Authors: Raqim Raheem Khamael , Hadi Ali Israa 
Published: November 2020

AbstractThe human-computer interaction system is a success by deriving an effective facial expression recognition function. But it remains a difficult activity to understand facial speech. This paper sets out a novel Recognition of facial expression approach to the task. The approach proposed is motivated by the performance of the Convolutional Neural Networks (CNN) on the face trouble with identification. Unlike other plays, we focus on having good accuracy while requiring only a small sample data for training. The proposed approach is tested on Japanese Female Facial Expression (JAFFE). The accuracy increased compared with state-of-art results on the JAFEE dataset, where it achieved 95%.
Vision-Based Obstacle Avoidance for Small Drone using Monocular Camera
Authors: Raheem Nhair Retaj , Al-Assadi Tawfiq A. 
Published: November 2020

AbstractThis paper proposes an obstacle avoidance technique for small size drones by using a monocular camera. This method can assist the drone for doing their mission and avoid hitting any obstacle or minimise the collision as possible. For avoiding an obstacle while the drone is doing its mission, We use a computer vision technique to determines the free zone along with the obstacle that may cause a crash and send feedback control to the drone. The small size drone receives feedback about the obstacle and commands the drone to moves to a safe area then resume its trajectory.
Face Recognition and Emotion Recognition from Facial Expression Using Deep Learning Neural Network
Authors: Hussien Mary Ali , Bilal Kadhim Zubaidah , Saad Sharqi Zainab 
Published: November 2020

Abstract
Face recognition, emotion recognition represent the important bases for the human machine interaction. To recognize the person’s emotion and face, different algorithms are developed and tested. In this paper, an enhancement face and emotion recognition algorithm is implemented based on deep learning neural networks. Universal database and personal image had been used to test the proposed algorithm. Python language programming had been used to implement the proposed algorithm.
Encrypt Audio File using Speech Audio File As a key
Authors: Hassan Najwan A , Saad Al-Mukhtar Farah , H Ali Esraa 
Published: November 2020

Abstract
in this research, a new method for audio (.WAV) file encryption is propose using a random modification with two secret key applications. The proposed method provided a highly secure audio.WAV files and efficient audio files which have very high-frequency band. The proposed system is to convert speech audio file to text form, this text creates password seed with two keys using hash function, the first key encrypted using proposed algorithm then these keys used to encrypt the original audio (.WAV) file by using Rijndael algorithm.
Fingerprint Recognition
Authors: ghali Fatima , Ali Noor , yousif Atheer 
Published: November 2020

Abstract
Fingerprint identification is one of the most popular and reliable personal biometric identification methods. This paper describes an is to characterize the fingerprint using Matlab 2010 program and is working on reading fingerprint then being on a set of processes to derive characteristics, (converting the image to the gray level and then to binary image and then process, one conformation processes where to find internal and external borders of the image (fingerprint) and filtered edges and find minutiae. fingerprint properties, which include the forest and the endings are segmenting the image into blocks 3 * 3 and extraction of whether these blocks contain end or fork and stored the coordinates of these characteristics in the two-dimensional matrix to coordinate the x and coordinate y and delete the undesirable characteristics and determine its direction because (it is likely that the match imprint in the coordinates of the fingerprint Although fingerprint different in terms of imprint direction) and then compare them with a database include a range of Fingerprint characteristics were extracted in the same way to recognition the existence or non-existence within this group .
The GIS based Criminal Hotspot Analysis using DBSCAN Technique
Authors: Mohammed Abbas F. , Baiee Wadhah R. 
Published: November 2020

Abstract
Spatially Data mining used efficiently to extract any potential patterns and associations to detect hidden information from multiple sources data. In this paper, data mining Density-based spatial clustering of applications with noise DBSCAN algorithm is emphasised. The importance in this work was using a prototype software to process the giving data into an understandable outcome throw clustering technique, it is a powerful method for criminal activities detection and pattern recognition to get useful information that can help police to reduce crimes. Spatial data mining is practical with geographical crimes data set and processing a large amount of crimes data. Police conventional way was manual and time-consuming using a pin on the wall. Therefore, it has to be developed and merged with advanced techniques. In this study, data mining clustering method was used to examine Baltimore, Maryland’s crimes information. The processed criminal data from the state of Maryland, Baltimore City was 340,924 cases and 16 attributes to reflect the cases between 2012-2018. DBSCAN algorithm is utilized to cluster crimes incidents focused on certain predefined events and the outcome of these clusters employed to find hotspots. The clustering findings are visualized by the GIS to make crimes distribution on the map at real-time for the law enforcement to understand and interact
Predicting International Adoption Visas in the United State
Authors: Saleh Noora N. , Miner Kaitlyn 
Published: November 2020

Abstract
For Americans who wish to adopt children from other countries, international adoption visas are issued to the child for entrance into the United States. With the Laws and regulations are changing so often, the number of international adoptions fluctuating with these changes. We are interested in forecasting future visa values from prior visa value data. Our results support that it is possible to predict future international adoption visa numbers but for only a few years into the future due to the laws and regulations changing frequently.
On Some Types of Fuzzy δ-Connected Spaces in Fuzzy Topological Space on Fuzzy Set
Authors: Abdulkhalik Alkhafaji Muner , Raad Abd Dalia 
Published: November 2020

Abstract
In this paper we introduced and study some types of fuzzy connected spaces like (Ω- connected space, α – Ω-connected space, feebly-connected space, α-connected space, β- connected space, Sp-connected space, a-connected space) and the relationships between them and fuzzy δ-connected space in fuzzy topological space on fuzzy set. And We give counter examples if they are invalid And introduce Some theorems are included about this object.
On a Smarandache Closed and Completely Filter of a Smarandache BH-algebra
Authors: Mohsin Luhaib Qasim , Hadi Abbass Husein 
Published: November 2020

Abstract
In this paper, the notions of a Smarandache closed filter and Smarandache completely closed filter of a Smarandache BH-Algebra are introduced Also, Some properties of these notions are studied.
The Action of Hesienberg Group on Finite Dimention Manifold
Authors: Ibrahim Lafta Hana , Mohammad Alwan Bahaa , Fahad Ahmad Rasha 
Published: November 2020

Abstract
Our goal in this paper is introduce the action of hesienberg group on finite dimention manifold M. the interrelation ship between hesienberg group and the finite dimention manifold M is an old and vast subject. To simplify this treatment we work with liealgebra defined on a finite dimention manifold M, the heisenberg group forned an action over these liealgebra on finite manifold M.
No doubt, anotion on the heisnberg group can constitute avery important situation in the a differential finite manifold M, therefore, our work presents a key role mainly in some properties and characteriztions of the action of heinberg group on finite dimention manifold M, and also we study characterization on the relation between heisnberg group and finite dimention manifold M, then we introduce an an action of heisnberg group by the tensor product of the two repersentation which are (Acolyte groups) on hom (V2, V1’) be the tensor product of two representations of heisberg group and construct the definition of AC-heisnberg group, also study the properties of this action.
A study of Chemical Composition and determination of acrylamide in fried potato chips
Authors: S. Yaseen Sabraa , A.Khalf Anwar , I. AI-Hadidy Yasmeen 
Published: November 2020

Abstract
This study was designed to investigate the chemical composition and estimation of acrylamide in fresh and fried potato chips for the models under study. This study was conducted at the Food Science Laboratories, college of Agriculture, Tikrit University, Iraq. After selecting the potato class used in this research, deep frying was carried out at different temperatures (100, 130, 150, 170, 180), and the time period for frying was (4) minuets..After the process of deep frying of the samples was completed, several analyzes processes were conducted to determine the causes of the formation of acrylamide and the factors affecting it. Potato samples were analyzed for the chemical composition before and after the frying process of the potato chips. The moisture content was measured by a drying oven, and the protein content was measured by Kjeldahl method, the fat content was measured by the speculate method, sugar and ash. The chemical composition of the fresh potato was found to be 76.3%, 0.2%, 2.7%, 1% and 19.8%). The results of the chemical composition of fried potato chips found that the highest humidity at 100 ° C for 4 minutes was 53.2% and the lowest moisture content was 10.12% at 180 ° C for the same period. The highest fat content was 34.04% at 180 ° C and the lowest fat content was 18.03%. The highest protein was at 130 ° C and 1.50%. The highest ash was at 180 ° C and was 3.11% for 4 minutes. As for sugars, the highest percentage was 51.79% when treated 180 ° C for the same period. As for the estimation of acrylamide in the samples of this study, acrylamide was extracted with water (because it has high water solubility) and alcohol Results showed that the formation of acrylamide in fresh potato chips was 5 mg / kg at a time of 4 minutes. As for the formation of acrylamide in fried potato chips at the same period and at different temperatures was (100, 130, 150, 170, 180 ° C), the highest ratio of acrylamide was 2416 μg / kg at 180 ° C compared to the lowest of 136 μg / Kg at 100 ° C and for the same duration of 4 minutes.
Synthesis, Characterization and antibacterial Study of some Complexes Derivatives from1,3,4– Thiadiazole Schiff base
Authors: Basher Naeem A. , Flifel Ibrahim A. , Mashaf Abdulateef A. 
Published: November 2020

Abstract
The present study included preparing a new ligand from the thiadiazole derivatives from react between 1,2,5-dihydrazine, 1,3,4-thiadiazol with 4-Dimethyl amino benzaldehyde with a ratio of (1:2) to preparing the ligand (L1) Transition ions complexes (Co+3, Cu+2) were prepared with ligand (L1), the ligand and its complexes were characterized using the elemental analysis (C.H.N.S), Infrared spectrum (FTIR), proton nuclear magnetic resonance spectrum (1H-NMR), Mass spectroscopy, magnetic sensitivity, and molar conductivity, the practical results were exactly in line with the molecular formula and structural formulas for the compounds. The program (Hyper Chem) was used to draw ligands and their complexes and to show the distribution of electron density.
The results obtained from the study of magnetic sensitivity and molar conductivity of the prepared ligand complexes confirmed that the geometry shape of [L1CoCl3] is an octahedral complex, while [L1CuCl2] is a square planner complex. The results of molar conductivity also confirmed that the prepared cobalt complex is electrolytic, while the [L1CuCl2] complex is non-electrolytic.
The biological activity of the prepared ligand and its complexes were tested against two types of bacteria Staphylococcus aureus and Escherichia Coli in comparison with the standard inhibitor (Ciprofloxacin), the obtained results confirmed the biological activity of the prepared ligand was more than the standard inhibitor (Cipro) against Escherichia coli also the complexes (A1, A2) showed higher biological activity than the standard inhibitor (Cipro) against Escherichia coli (Gram-negative), the ligand and its prepared complexes don’t show biological activity against Staphylococcus aureus(Gram-positive).