bluuebunny/crossref_metadata_2025 huggingface dataset:
The comparison of essential oil concentration to maximum air quality produced by diffuser based on Internet of Things (IoT) technology to create a healthy room
Authors: Hikmah I , Ramadhani A D , Syifa F T
Published: March 2021

The efforts to maintain indoor air quality from dangerous viruses need to be improved. One way is by sterilizing the room using a disinfectant which has a weakness, namely that it is unsafe if the disinfectant is exposed to the body, especially, when entering the respiratory system, it will become dangerous toxins. Therefore, an innovation of a healthy room that is safe for the respiratory system is needed by applying essential oil as a natural antiseptic liquid which is converted into gas through a diffuser that is connected to a gas sensor equipped with the Internet of Things (IoT) technology. It can record air quality data and connect to an Internet server to monitor indoor air quality easily and practically. The research was conducted by making different variations in the concentrations of essential oil to obtain maximum air quality. From the results we obtained, the level of air quality is getting better when the oil concentration is increased because more gas particles can bind contaminant molecules in the air.
Thermal conductivity of coconut shell particle epoxy resin composite
Authors: Ismail I , Hatta Z N , Mursal  , Jalil Z , Md Fadzullah S H S
Published: March 2021

Coconut shell is one of the agricultural wastes that are widely available in Indonesia and other tropical countries. Unfortunately, the coconut shell waste has not been used optimally for new materials, especially for thermal insulation material. In this work, the composite from coconut shell particles using epoxy resin adhesives has been prepared. The particle sizes of coconut shells for composite samples were 60, 80, 100, and 120 mesh. The compositions of samples for each particle size (ratio between coconut shell and epoxy resin) were 70/30, 75/25, 80/20, and 85/15 (vol %). The thermal conductivity of each composite sample has been examined by using a single-plate method. The density of each sample has also been measured. The results showed that the thermal conductivity of composite sample for 60 mesh of particle size with 70/30 vol.% composition was 0.071 W/m K. As the composition of coconut shell was increased to 85 vol.%, the value of thermal conductivity decreased to 0.062 W/m K. It was found that the thermal conductivity of composite sample decreased as the composition of coconut shell was increased. For the composition of 70/30 vol.%, the thermal conductivity increased to 0.078 W/m K for 120 mesh of particle size. This behavior was also the same for other compositions, where the value of thermal conductivity of composite increased as the coconut shell particle size decreased. The density of the composite was found in the range of 0.799 – 0.938 g/cm3. As the particle size of the coconut shell was reduced, the density of the composite increased. This study revealed that both thermal conductivity and density of coconut shell epoxy composite are dependent on the particle size of the coconut shell. The thermal conductivity of all samples was less than 0.1 W/m K indicating that the coconut shell epoxy composite is quite potential for thermal insulation.
Causalitic-learning model to improve reasoning-ability in learning physics in terms of student creativity during the covid-19 pandemic
Authors: Nurjamilah  , Rokhmat J , Sahidu H , Harjono A , Hikmawati
Published: March 2021

This study aims to examining the effect of 1) the causalitic-learning model (CLM) on reasoning-ability (RA), 2) creativity on RA, and 3) the interaction between the CLM and creativity on RA. This research is quasi-experimental with a 2x2 factorial design. The population is all students of class X-IPA. Sampling uses purposive-technique with consideration of the ability and support of parents in facilitating students and obtained students of class X-IPA-3 (31-students) as an experimental class and class X-IPA-4 (30-students) as a control class. The data of RA and creativity were gathered by using four description-tests. The results show that the data is normally distributed and homogeneous as indicated by chi-square counted (10.87) < chi-square table (11.07), Fcount (1.57) < Fcount (1.85) (for RA) and Fcount (1.50) < Fcount (1.85) (for creativity). The hypothesis was tested using two-way ANOVA with the help of the SPSS 18 application. The conclusion is that in learning physics during the Covid-19 pandemic: 1) there is an influence of the CLM on RA, 2) there is an influence of creativity on RA, and 3) there is no interaction effect between the CLM and creativity on RA. Recommendation: In implementing a CLM to improve RA, it is better to use creativity-related phenomena in the form of pictures to facilitate students to do causality-thinking and argument formulation.
Theoretical study of complex susceptibility of Pd and Pt
Authors: Sitorus R M , Azhar A , Cahaya A B , Nugraha A R T , Majidi M A
Published: March 2021

Spin transfer torque in a multilayer magnetic system can be understood in terms of interaction between a normal metal and a ferromagnetic layer on the multilayer, in which the interaction is characterized by the magnetic susceptibility. Most of experimental studies on this subject utilizes heavy metals, such as Pd and Pt, while a recent theory assumes a light metal as the normal metal. We aim to reconcile this discrepancy and achieve consistency with the experiments by studying magnetic susceptibility of Pd and Pt. We theoretically investigate the complex magnetic susceptibility of Pd and Pt by combining Tight-binding Approximation, Hubbard Model, and Density Functional Theory. We calculate a single band susceptibility for Pd and Pt. Our results show that the band structure is dominated by the d-orbitals and the susceptibility is enhanced by its large repulsive interaction.
The influence of the Ag nanostructures dimensions on the pattern of electric field distribution in cases of blood cancer
Authors: Farahdina U , Zulfa V Z , Firdhaus M , Endarko E , Rubiyanto A , Nasori N
Published: March 2021

Above normal concentrations of leukocyte can indicate blood cancer in humans. This study uses a finite difference time domain (FDTD) based on the Ag nanostructure array experiment from previous study. The influence of leukocyte and blood medium and also Ag nanostructures dimensions the on the pattern of electric field distributions in Ag nanostructure arrays was described on this study. The electric field distribution and transmittance of Ag nanostructure arrays using different medium was analysed. The electric field in Ag nanosquare with side size 50 nm irradiated with electromagnetic wave at a wavelength of 350 nm has value 1.78 × 10−5 V/m and has the highest electric field value compared to the other dimensions and wavelengths of electromagnetic wave. The maximum difference value of transmittance Ag nanosquare array between blood and leukocyte is 8.06 a.u. This value is resulted from Ag nanosquare with side size 50 nm irradiated with electromagnetic wave at a wavelength of 250 nm. These result provide an initial interpretation of optimum wavelength of electromagnetic wave and size of Ag nanosquare arrays for therapy and detection of blood cancer.
Crystallographic and optical bandgap study of LaFe1-xMgxO3 (x=0.01 and 0.05) nanoparticle
Authors: Dwimivanusa R R H , Triyono D , Abdillah M N
Published: March 2021

In this study, material with x = 0.01 and x = 0.05 have been successfully synthesized using the sol-gel method. Characterization of the material was carried out by X-ray Diffraction spectroscopy (XRD), Ultraviolet-Visible Spectrophotometry (UV-VIS), and Fourier Transform Infrared Spectroscopy (FTIR). The XRD data of LaFe1-x
MgxO3 was confirmed single-phase with orthorhombic structure and Pbnm space groups for all samples. The lattice parameter value increases with increasing Mg content, which is predicted due to the larger ionic radii Mg2+ successfully substituted Fe3+. The crystallite size indicated that samples were nano-scale particles. FTIR spectra confirm that the increased Mg substitution increases the distortion of LaFeO3 lattice, which correlates with XRD results. The UV-Vis characterization aimed to measure the optical bandgap energy. The optical bandgap energy value decreases with increasing Mg doping. Lower optical bandgap value makes a positive impact as promising candidates for photocatalytic applications.
A numerical study of Hydro-Hydraulic energy on Undular Tidal Bore phenomenon
Authors: Putra Y S , Noviani E , Nurhasanah  , Nurhanisa M , Azwar A
Published: March 2021

A preliminary study of hydro-hydraulic energy on undular bores may support the invention of various kinds of technology related to renewable energy sourced from the potential of natural resources of Indonesia. Energy could be generated from one type of hydraulic jump that occurs in the river channel, namely undular tidal bore. The tidal bore phenomenon also exists in Indonesia, which occurs in the Kampar River, Riau, known as Bono. A numerical study of energy on wave-like tidal bore has been done for one type of bores, namely undular bores. The simulation of undular bores has been generated using the Computational Fluid Dynamics (CFD) approach assisted by the open-source CFD software, OpenFOAM which applied a turbulent model, namely one-equation Large Eddy Simulation (LES). The undular bores simulation in this study has been validated using experimental and numerical data from selected scientific references. Six simulations of undular bores have been performed based on six different values of Froude number, Fr = 1.04, 1.13, 1.20, 1.27, 1.34, and 1.41. Furthermore, the free surface of undular bores simulation was analyzed by emphasizing on the depth of upstream and downstream flows (d0
and d2
respectively). The rate of change of flow depth ( ), energy dissipation ( ), the rate of energy dissipation ( ), and hydraulic power dissipated of undular bores (PUB
) will increase as a function of the Froude number.
Plasmon effects in the two-photon Rabi oscillations in a strongly coupled semiconductor quantum dot–metal nanoshell composite
Authors: Nugroho B S , Arman Y
Published: March 2021

We theoretically study two-photon Rabi oscillations (TPRO) in a nanocomposite comprising a semiconductor quantum dot (SQD) strongly coupled to a metallic nanoshell (MNS), which undergoes a pulsed excitation. The SQD is modeled as a three-level ladder-like quantum system (ground, one-exciton, and bi-exciton states). Its optical dynamics is described quantum-mechanically within the density matrix formalism framework, while the MNS is treated classically through its frequency-dependent polarizability. We find two effects of the presence of a MNS in close proximity to the SQD: (a) - a sufficient increase of the number of Rabi cycles as compared to the case of an isolated SQD and (b) - incoherent population of the one-exciton state giving rise to the destruction of the TPRO.
Molecular dynamics study of hydrogen diffusion in the C2 Hydrogen Hydrates
Authors: Arman Y , Nugroho B S
Published: March 2021

We performed molecular dynamics calculation to study hydrogen molecules’ diffusion in the voids of C2 hydrogen hydrate with varied occupancy at 291K and 4GPa. The same hydrate systems under pressure conditions of 76MPa to 174.2MPa at 77K to 150K were also investigated. LAMMPS molecular dynamics program is employed to the 3×3×3 unit cells with periodic boundary conditions of C2 hydrogen hydrate. TIP4P/Ice and three sites were used to model water molecules and the encapsulated hydrogen gas, respectively. The whole system was simulated for 10ns. The diffusion coefficient calculations show conformity with the experimental results, with the highest of 9.07 × 10−9 cm2s−1 shown by a system of 80% hydrogen gas occupancy under 291K and 4GPa of temperature and pressure, respectively. Hydrogen gases are actively diffuse between voids in every simulated system configuration.
Designing A Rainstorm Over AL-Zafran Valley Basin and Modelling Surface Runoff Using Modern Geographic Techniques
Authors: Farakid Ubaid Kazim Al-Masoudi A.T. , Nasser Wali Frih Al-Rikabi P.DR
Published: March 2021

Initially, the research includes building a geographic information base for the basin. Moreover, the DEM satellite imagery was used to map the drainage network in AL-Zafran Valley, and these maps were entered into Arc GIS 10.7. A map of the river basin and the water network was produced, classified according to the method of introduction and application of valley analysis within Arc GIS and mapping software. Digital elevations and contour lines of the study area. Digital maps were produced and various linear measurements were taken and some spatial relationships were made between the various features of the basin. The natural characteristics that affect the basin were also studied, especially the rocky nature, climatic and topographical characteristics. The total area of the basin was (612.4 km2), and a topographic model was drawn that reflects its topographical characteristics and the extent of its impact on the characteristics of the river network. Therefore, the adoption of new technologies played a role in knowledge. The precise details of the study area without resorting to the field study as rainstorms (modeling) after designing a rainstorm, and its intensity varies and shows the correlation of flood waves, modeling and simulation with realistic data with the intensity of rain. This was done using recent software, including the 10.1W (watershed) watershed model program, the WMS10.1 program (HYDROCAD (HEC-HMS)) to find rainfall intensity and its relationship to surface runoff in AL-Zafran Valley Basin, and the Surfer 13 program and system. Geographic Information - ARC10. Scene 7 and QGIS 3.8 geo-modelling program.
Identification of Analogue Modulated Signal via Artificial Intelligence
Authors: Khalaf Mohammed S. , Wahab Aeizaal Azman A. , Alhady S.S.N. , Husin H. , Othman W.A.F.W.
Published: March 2021

Referring to a huge usage of the analogue modulated signal in both civilian and military applications, and impotency of identification it, the importance is came from many reasons also to how to get an algorithm to recognize an analogue modulated signal via AI for high performance of identification and simple to use. The identification is a middle-step between recognizing and signal demodulation. Selecting the most suitable variables are for input modulated signal and with (AI) assistant to identify some of analogue modulated signals such as (AM, DSB, SSB, and FM). Using simulation with Gaussian noise (0 dB to 10 dB) and AI. Classification system consisting from 3 parts: 1-Pre-processing stage which is talking about Feature keys extraction did. The element keys extraction did so as to get input include keys for the AAMR classifier, 2-Training stage which talked about the preparation, and Analog programmed adjustment acknowledgment (AAMR) classifier advancement., and 3-Testing stage which talked on the classifier performance evaluated using 25% of all generated data as a test data. Using two algorithms (SCG and CONJGRAD), In the SCG, the possibility of each single key feature for each single modulation scheme with variance SNR results got. A couple of methods compared and the results show that the performance of the AI based recognition system is superior to the decision classifiers based on way with less SNR values. Both of the suggested identification systems are capable to discriminate (AM, DSB, SSB, and FM) at SNR>5 dB with a success rate 100%.
The cyclic Decomposition of the Factor Group ∁F(2
2k×D4, ℤ)/

ρ¯

(2
2k×D4) When κ is a prime Number
Authors: Jabir Naba Hasoon
Published: March 2021

In this paper we find the Circular Divison of The ℱactor Group cℱ(2
2κ×D4, ℤ)/

ρ

¯

(2
2κ ×D4) when κ is a prime number, where 2
2κ is denoted to Quaternion group of order 4k, such that for each positive integer n, there are two generators X and Y for 2
2κ satisfies Q2k={ X i Y j, 0≤ i ≤ 2κ − 1, j=0, 1} which has the following properties{ X 2k=Y 4=I, Y
X k Y -1=X -k} and D4 is the Dihedral group of order 8 is generate by a rotation e of order 4 and reflection f of order 2 then 8 elements of D4 can be written as: {I*, e, e2, e3, f, fe, fe2, fe3}.
Some Results in Grűnwald-Letnikov Fractional Derivative and its Best Approximation
Authors: Hassan Sura Khayoon , Ali Alazzawi Saad Naji , Ibrahem Nadia M.J.
Published: March 2021

In This paper, we have been approximated Grűnwald-Letnikov Derivative of a function having m continuous derivatives by Bernstein Chlodowsky polynomials with proving its best approximation. As well as we have been solved Bagley-Torvik equation and Fokker–Planck equation where the derivative is in Grűnwald-Letnikov sense.
Preparation and (TiO2-ZnO) Polyethelene for Food Preservation
Authors: Hilal Zahraa Hadi , Jabbar Shorouq Jasim
Published: March 2021

The polymer nanocomposite was prepared using low-density polyethylene and each of (titanium oxide and zinc oxide) nanoparticles by casting method. The nanoparticles were synthesized via the UV-irradiation method. structural properties of TiO2 and ZnO nanoparticles studied by x-ray diffractions so the grain size of nanoparticles ranged between (10-12) nm. mechanical properties of the nanocomposites improve as the ratio of nanoparticles in polymer increased, compared to pure LDPE. Given that studies show that using this 2.5 Gy of gamma Rayes irradiated of nanocomposites improved that fantastic for use as food packaging. Besides, the polymer nanocomposites proved that antimicrobial properties against the E. coli, since it releases the nanoparticle’s cations.
Using Digital Image Processing in analyzing Air Pollutants’ Effects for two Smoke Types Upon a Colored Tested Image
Authors: Ahmed Harith M. , Al-Obaidi Fatin E. M. , Al-Zuky Ali A. D. , Al-Saleh Anwar H.
Published: March 2021

Local environmental problems such as noises, red tides, air pollution and water clarity that obstructed the comfortable human lives take an attension through the last few decades. Air pollution as an example can cause a variety of health problems, and may cause haze, smog, reduces visibility, dirties, damages buildings, other landmarks, and harms trees, lakes and animals. So, in order to study smoke effect, a comparison study for two smoke types had been taken into considerations to study air pollutants upon a colored scence inside a wooden system designed for this purpose. In such system two kind of smoke sources had been utilized, a burning incense is used as a white smoke emission and the second one is by burning a piece of rubber and nylon with crude oil as a source for black smoke emission. Results show a similar behavior of the wavelength spectrum of all ink colors for both smoke types. The particulate oil in the black smoke affects strongly upon an ink absorption/reflection spectrum through shifting the spectrum toward the lowest values of gray level intensities (i.e. darker pixels) and this is due to the higher scattering efficiency which is dominant in this case.
Asymptotic for Lasso Estimator in High-Dimensional Repeated Measurements Model
Authors: Jassim Naser Oda , Saber Al-Mouel Andul Hussein
Published: March 2021

In this paper, we propose high-dimensional repeated measurements model and using the Bridge estimator as penalized method that minimizes the residual sum of squares plus penalty term ∑|θj|γ. After that, under appropriate conditions, we discuss the consistency and asymptotic behavior of lasso estimator whenγ= 1 as especial case and also study the consistency and limiting distribution of the Bridge estimators whenγ< 1 andγ> 1. Moreover, we discuss the asymptotic of estimators by using small parameter and local asymptotic. In other words, we discuss the asymptotic behavior in a triangular array of observations.
Effect of Diabetes on Laboratory Markers in Patients with Non-ST Elevation Acute Coronary Syndromes
Authors: Mohammed Sadiq Suad Mahdi , Dakhil Mohammed Atiyah , Dakhil Zainab Atiyah
Published: March 2021

Background: Diabetic population are at high cardiovascular risk especially in the setting of acute coronary syndromes. This study aimed to investigate the role of diabetes in affecting the main biochemical and haematological markers in patients with non-ST elevation acute coronary syndromes (NSTE-ACS). Methods: A multicentre cross-sectional study recruited patients who were admitted and diagnosed as NSTE-ACS, data were collected from patients using a prepared printed form that recorded patients′ age, comorbidities and results of investigations. Patients were categorized into diabetics and non-diabetics. Results: Ninety-nine patients were enrolled, 39.4% were diabetic, mean age of diabetics was (61.3±10.9) years vs (57.7±12.6) years in non-diabetics, diabetic patients were more to be females 23.1% vs 21.7%, more to have IHD history 58.97% vs 35%, more be hypertensive 69.2% vs 55%, less to be smokers 33.3% vs 38.3% and hyperlipidaemic 30.8% vs 33.3% when compared to non-diabetic counterparts, however, the differences in baseline characteristics between the two groups did not reach statistical significance apart from the more reported history of IHD in diabetics; p=0.019. Diabetic patients tend to be presented more with dyspnoea compared to non-diabetics 41% vs 26.7%. Positive troponin was more to be positive in diabetics (48.7% vs 40%), diabetic patients tend to have higher urea (46.2±19.2 vs 39.6±23.6) and higher creatinine (1.07±0.37 vs 0.95±0.37). Random blood sugar (268.3±115 vs 125.5±50.2, p<0.001) and serum potassium (4.4±0.63 vs 4.12±0.52, p=0.015) were significantly higher in diabetic patients. Conclusion: Apart from higher blood glucose and serum potassium levels, in the setting of NSTE-ACS; presence of diabetes has no remarkable impact on biochemical and haematological markers when compared to non-diabetic population. This needs larger studies in the future to validate these findings and to assess the prognostic significance of laboratory markers in diabetics with acute coronary syndromes especially in low-resources countries where more sophisticated markers are not feasible.
Exact and Hybrid Metaheuristic Algorithms to Solve Bi-Objective Permutation Flow Shop Scheduling Problem
Authors: Motair Hafed M.
Published: March 2021

In this paper, we consider 2-machine permutation flow shop scheduling problem with bi-objective of minimizing the makespan (C

max
) and maximum tardiness (T

max
). The aim is to minimize the two objective functions lexicographicaly, which is minimize maximum tardiness subject to that the makespan is optimal. We introduce a Branch and bound algorithm with two dominance conditions to find the optimal solution of the problem for job sequence with up to 14 jobs. For moderate and large sized problems we apply a simulated annealing algorithm to develop a metaheuristic algorithme based on the first level branch and bound and variable neighborhood search. To compare with the original algorithm, numerical experiments provided, the rusults shows the efficiency of the dominance conditions also the efficiency of proposed modification of the original metaheuristic algorithm.
Study of the Effect of Doping with Alumina and Silica the Structural and Electrical Properties of Epoxy
Authors: Esmaeel Suroor N. , Raoof Lamyaa M. , Dagher Hala F. , Hussein Itab F.
Published: March 2021

Crystalline structure of a sample of Alumina (Al2O3 – reinforced epoxy) at (4% and 8%) has two prominent peaks at point (17°) and (19.5°) with miller vectors (111) and (220), respectively. These results are corresponding to crystalline cubic and notes growing of crystallization. The spectrum of (XRD) showed increase in crystalline size which means an increase in randomization and a lack of crystallization amorphous at (6%) (Al2O3). This result showed increase in crystalline size which means an increase in randomization and a lack of crystallization amorphous. Epoxy matrix reinforced by particles of silica (SiO2) and alumina (Al2O3) with different fractions were investigated for electrical properties such as dielectric constant, conductivity and dielectric loss index. This result showed effect of additional (SiO2, Al2O3) is small concentration except (2% SiO2) has large effect.
Furfural Removal from Simulated Wastewater Using Zno Nanoparticles / H2O2 in Solar Photocatalysis Reactor
Authors: Abduljabbar Aseel T. , Dhahir Saadiyah A. , Abood Waleed M.
Published: March 2021

Furfural is aromatic compounds that can cause a significant environmental problem particularly through discharged iindustrial water of oil processing. In this study, the using of the advanced oxidation methods (AOPs) were applied. The results of the experimental work indicated that the degradation of furfural in simulated wastewater and real wastewater from oil refinery was affected by using different concentrations of H2O2, the dosage of nanoparticles of ZnO with nanoscale (36 nm), pH and taking into consideration the effect of the solar radiation intensity with the exposure period. The optimal conditions (H2O2=600mg/l, ZnO NPs=80mg/l, pH=7, Temp=25±5°C and flow rate=50ml/min) at 100mg/l of furfural concentration. Furfural removal efficiency for the type of (APOs) treatment (UVA Photolysis), (UVA/photocatalyst), (UVA/H2O2) and (UVA/H2O2/photocatalyst) were recorded (38%, 55%,68%,96%) respectively after 240 minutes exposure time using simulated wastewater and the rate constant K of furfural degradation was increased at the same conditions (0.0023, 0.0041, 0.006, 0.022) min−1respectively while for real wastewater from petroleum refinery units, the removal efficiency has been reached to (97.5%) under the same conditions with applied (UVA/H2O2/photocatalyst) option. HPLC was utilized to detect the degradation of the furfural.
Effects of Thickness on the Structural and Optical Properties of Mn3O4 Nanostructure Thin Films
Authors: Shano Ahmed M. , Habeeb Ammar A. , Khodair Ziad T. , Adnan Suzan K.
Published: March 2021

In this work, nanostructured Mn3O4 thin films at different of thickness (200, 250, 300, 350) nm were deposited on substrate made from glass by chemical spray pyrolysis technique with substrate temperature at 400 °C. However, during this process, The structural and optical properties of these films have been investigated using XRD, and UV-Visible spectroscopy. The X-ray Diffraction (XRD) results showed that all films are polycrystalline in nature with tetragonal structure and preferred orientation along (211) plane. The crystallite size is determined by Scherer’s formula and W-H analyses and it is found that it decreases as the thickness increasing. The optical energy gap for allowed direct electronic transition was calculated using Tauc equation. It was found that the band gap decreases when the thickness increasing. The variables of the optical properties containing (coefficient of absorption, parts of real and imaginary for dielectric constant) and estimated as a function of the photon energy. Coefficient extinction of thin film was valued as a wavelength function.
Use Some Spectral Indices to Follow the Flooding of The Diyala River
Authors: Khalaf Ahmed Bahjat , Mohi Thakra Jassem
Published: March 2021

The examination was directed on the Diyala River Basin, situated inside the territory of Diyala in focal Iraq between longitudes 44º20′ 10.19 ‘-45º 23′ 32.46″ and two latitudes 34º 7′ 56.26″ - 33º 23′ 2.82″ and an area of 5279 km2, the satellite imagery of Landsat 8 OLI_TIRS And derived them spectral indices, using the supervised classification method for the study area and comparing it with the maps prepared from the spectral indices, the study found that the MNDWI guide is the best for monitoring and monitoring the flooding of Diyala River. The statistical values of Kappa showed a good classification for the study area, it ranged between 86-88%.
Design and Implementation of a Moving Robot Equipped with an Arm and an FPGA to Deliver Objects between Two Positions
Authors: Saadoon Asma T. , AbdulQader Dina A. , Naser Marwa T. , Jadian Zahraa R.
Published: March 2021

In this paper a system is designed and implemented using a Field Programmable Gate Array (FPGA) to move objects from a pick up location to a delivery location. This transportation of objects is done via a vehicle equipped with a robot arm and an FPGA. The path between the two locations is followed by recognizing a black line between them. The black line is sensed by Infrared sensors (IR) located on the front and on the back of the vehicle. The Robot was successfully implemented by programming the Field Programmable Gate Array with the designed system that was described as a state diagram and the robot operated properly.
Cubic Curves Over the Finite Field of Order Twenty-Five
Authors: Naji S. H. , Al-Zangana E. B.
Published: March 2021

An arc of degree three is a set of points in projective plane no four of which are collinear but some three are collinear, and a cubic curve is a non-singular projective plane cubic curve. There are cubic curves formed an arc of degree three over a finite field. The aims of this paper are to give the inequivalent cubic curves forms over the finite field of order twenty-five according to its inflexion points, and the incomplete curves have been extended to complete arcs of degree three. As a conclusion over F
25, the largest arc size of degree three constructed from the points of cubic curves is 36; that is, 36≤ m

r
(2,25) ≤51.
fMRI and Artifact computation and Analysis
Authors: Nasser Marwa Taher , Al_Sudani Ahlam Hanoon , Alhilli Hanady Mohammad
Published: March 2021

Over the years, the field of Medical Imagology has gained considerable importance. The number of neuroimaging studies conducted using functional magnetic resonance imaging (fMRI) has been exploding in recent years. fMRI survey gives to rise to large amounts of noisy data with a complex spatiotemporal correlation structure. Statistics play great role in clarifying the features of the data and gain results that can be used and explain by neuroscientists. Several types of artifacts can happen through a functional magnetic resonance imaging (fMRI) scanner Because of software or hardware problems, physical limitation or human physiologic phenomenon. Several of them can negatively affect diagnostic image goodness, and confused with various pathology. Artificial Characteristics is show in an image not found in the real actual object it is the necessary to recognize these artifacts according to a basic perception of their origin, especially those simulating pathology, as they can be sing to wrong diagnostic medical. As a result, it causes dangerous effects on the patient’s health. We discuss the study of fMRI data in this paper; we highlight important and significant problems where statistics already play a major role. It is include a sequence of programs for processing, analysing, and offer fMRI data. Of special regard to statisticians might be its use of functions from the statistical software package. The conventional methods are FSL and SPM. The most generally applied software is SPM (Statistical Parametric Mapping), which include groups of MATLAB functions for pre-processing, analysing, and display fMRI data.
Cryptanalysis Using DNA-Sticker Algorithm
Authors: Abdulmehdi Noora Amir , Kadum Sahar Adel
Published: March 2021

Sticker model is one of the basic computer models of filtering model which is part of Non-Autonomous DNA computing models. This model inputs are represented by encoded one of a double (single - double) strand of DNA molecules, which is annealed with a short fraction of strings at some positions, and therefore these strands called memory complexes. Since its inception, DNA computing has provided a highly efficient and energy efficient technology for solving complete NP problems because of its really high data density and inherent parallels. In this paper, we explain how to use the sticker model, which is one of the types of molecular computations in DNA computing, to design an algorithm for coding analysis of the coded text in an unsystematic cipher method. The cipher text is broken by employing the idea of brute force attack, which works to represent all possible keys and then try it to break the encrypted text until reaching the correct key from among the total keys group representing by solution space. Theoretically, both the cipher text and all possible keys are represented using memory complexes of the DNA strands. Then, using sticker operations, as separation, combination, and proposed operation named length, we can remove the incorrect keys from the solution space of memory complexes, by taking advantage of the parallel processing of DNA computing, therefore this model is classified as filtering model.
Volts/Hz Control of Three Phase Induction Machine: Matlab Simulink
Authors: Al-Asady Heba Abdul-Jaleel , Fakhruldeen Hassan Falah
Published: March 2021

Due to the ratios of the power to the speed in the industrial applications, three phase induction motors are Broadly utilized. high reliability and low cost. A Space Vector pulse width modulation (SVPWM) are used for controlling scheme. The modified PI and V/F scalar controller are used to confirm the execution of both the speed and torque. A simple method control the magnitude of constant speed application is scalar control which is state on the controlling the values of voltage and frequency of the machine. The control of V/F implement in matlab/simulink and compared withthe PI controller as a mathematical model of the system is described in the next sections. The simulation results provides high performance and smooth speed response under various dynamic operations.
UV-Spectroscopy for Original Honey and Comparing with Some Types of Honey in Iraqi Market to Investigate the Cheat in Them
Authors: Lateef Abbas Abed , Alhashimy Ayad Khalaf
Published: March 2021

Honey is a medication material and its very expensive, so some people try to cheat honey by adding sugar solution to it. In this work, a method was done to investigate the ratio of cheat or sugar solution in honey. UV-spectroscopy was done for original honey. UV-spectroscopy for several mixtures containing different ratios for honey and sugar solution was done to make normalization curve. Different types of honey were collected from Iraqi market and UV-spectroscopy was done for these types. For every graph done for these honey types collected from Iraqi market, maximum absorbance point was taken and applied on the normalization curve. After application on the normalization curve, the ratios of honey and sugar solution were found for every type of honey collected.
Atan Regularized in Quantile Regression for High Dimensional Data
Authors: Yousif Ali Hameed , Housain Wafaa Jaafer
Published: March 2021

In this article, we proposed using a new version of penalty functions to estimate of parameters and variable selection in quantile regression. This version of the penalty depends on arctangent function called the atan penalty. Ridge and elastic-net are the penalties that are used to compare with the proposed estimator in quantile regression. A simulation study and the real data application showed that the proposed estimator is the best compred to the other estimators.
Solvent Effects on The Nonlinear Refractive Index of Bromocresol Purple at Three Excitation Wavelengths
Authors: Halboos Sarah H. , Sharba Ahmed. B.
Published: March 2021

In this study, the linear properties and the nonlinear refraction of Bromocresol purple (BCP) dye are studied in water and ethanol at three different wavelengths (405, 473 and 532 nm). The study is to assess the effect of the solvent properties on the dye optical characteristics at different wavelengths. Beside the differences in the linear response, the nonlinear refractive index n

2
of the dye changes by changing the solvent. The type of the solvent-induced change in n

2
depends on the excitation wavelength. In addition, the value of n

2
in the same solvent depends on the wavelength of light. The changes in n

2
in the two solvents are not likely to be due to the differences in the linear absorption or the thermal effects. The polarity and the hydrogen bonding ability of the solvent can be the main reason of the solvent effects on the nonlinearity of the dye. The effect of wavelength on the nonlinearity of the dye can be due to the change in the physical mechanisms that originate the nonlinear refraction or the change in their individual contributions to the overall nonlinear refraction of the dye.
Application of Value Stream Mapping in HEESCO
Authors: Jebur Zainab Taha , Ibrahim Sura Khalil , Dawood Lamyaa Mohammed
Published: March 2021

Value stream mapping (VSM) applies to all consumer operations engaged in the design, production and distribution of products and services. Objective of this research is to draw up the existing state diagram for the products in Heavy Engineering Equipment State Company (HEESCO) as a case study, that deals with job-shop production to Identify and minimize the additional tasks that are not appreciated and recommend a potential state to reduce the lead time of production and maximize the time of value added.
Detection of Misuse Attack in NFV Networks Using Machine Learning
Authors: Ali Ali Khalid , Bhaya Wesam S.
Published: March 2021

Network Function Virtualization (NFV) represents a virtual network whose service is provided by virtual parts of virtual machines. This type of network is easy to implement and update. In addition, NFV leading to low cost due to sharing the same resources. As is the case with other networks, NFV is not safe from attacks. Since all parts of this NFV network share the same resources, misuse attack is regarded to be the most common attack in NFVs, particularly because the attack use one or more of the resources which affect all parts of the NFV. This paper is based on using machine learning to extract rules of misuse attack detections. The tree decision C4.5 algorithm has been used to extract these rules, with nine features of network data flow. When testing the propose work with a server traffic data having more than 5 million network connections, the results show that a comparatively higher performance of the algorithm C4.5 with an accuracy of about 96%.
Manufacturing Three Different Solar Heaters Operating in Shattra City 31° 24’ 35“N - 46° 10’ 18”E and Comparison Between Them
Authors: Mankhi Kawthar Kazem
Published: March 2021

Solar water heating is designed in Shattra city 31° 24’ 35“N 46° 10’ 18”E in south of Iraq. The research deals with a comparison in terms of performance and production of three different solar heaters in terms of primary components and the number of parts. The experimental data have been analysis (2019-2020). The importance of this study lies in obtaining the ideal model for the heater in terms of increase in production, low costs and ease of design
Combinatorial Optimization and Nonlinear Optimization
Authors: Salman Abbas Musleh , Al-Jilawi Ahmed Sabah
Published: March 2021

The objective of this paper is to locate a superior method that merges quicker of maximal independent set problem (MIS). One methodology is to the correlation between The Penalty and Augmented Lagrangian Methods. We have likewise built up the hypothetical combination properties of these methods.
Improving Theoretical Line Search Techniques of Practical Numerical Optimization
Authors: Al-Shimari Nofl Sh. , Al-Jilawi Ahmed Sabah.
Published: March 2021

The paper aims to shed light on some important concepts in optimization so that the reader can have a broad knowledge and awareness of idealism, In addition to that we bring the reader closer to know the line of research and how to employ to solve various problems of optimization.
The Effect of Al2O3 Oxygen Sub-Lattice on Femon2 Phase Stability
Authors: Richi Wissem , Zanat Kamel , Hazourli Hamza , Daoui Abdelkader , Oudjertli Salah , Zelmati Djamel
Published: March 2021

All Magnetic phase transition in Iron Molybdate Nitride (FeMoN2) has been studied within the framework of density-functional theory, using generalized gradient approximation (GGA) as exchange correlation functionals. In this study, we suppose that, under the application of pressure, a uni-axial out-of plane structure optimization were done, where the in plane lattice parameters are fixed, within the pressure range of -50Kbar to 600Kbar. We found that the compound save the same structure (P6

3

/mmc) with a volume collapses. The volume and magnetic moment of FeMoN2 in its spin polarized case as well as none spin polarized case, have also been computed as ground state properties. The Magnetic moment of the FeMoN2 undergoes an anomalous variation accompanied by volume collapse. This volume collapse is attributed to a large variation in the out-of-plane lattice parameter.
Extracting Influential Nodes for Maximization Influence in Social Networks
Authors: Attuah Zainab Naseem , Miften Firas Sabar , Huzan Evan Abdulkareem
Published: March 2021

Influence maximization (IM) is the process focuses on finding active users who make that maximizes the spread of influence into the network. In recent years, community detection has attracted intensive interest especially in the implementation of clustering algorithms in complex networks for community discovery. In this paper the social network was divided into communities using the proposed algorithm which is called (CDBNN) algorithm, CDBNN stands for Community Discovery Based on Nodes Neighbor. The seed nodes(candidate nodes) were extracted using the degree centrality in each community. The propagates model (PSI) was used to information propagates through the network. Finally, using closeness centrality to extract the influential nodes from the network. Experimental results on the real network are efficient for influence propagates, compared with two known proposals.
New Approach for Solving (2+1)-Dimensional Differential Equation
Authors: Hussein N. A. , Tawfiq L. N. M.
Published: March 2021

This article presents an exact analysis solution for (2+1) dimensional differential equations by using new approach based on coupled method via LA-transform with decomposition method to overcome the computational difficulties. Convergence of series solution has been discussed with two illustrated examples, and the method has shown a high-precision, fast approach to solve non-linear (2+1) dimensional PDEs with initial conditions, there is no need any discretization of domain or assumption for a small parameter to be present in the problem. The steps of suggested method are easy implemented, high accuracy and a rapid convergence to the exact solution compared with other methods can be used to solve this type of PDEs.
On Differential Subordination of Higher-Order Derivatives of Multivalent Functions
Authors: Abdul Ameer Mays S. , Juma Abdul Rahman S. , Al-Saphory Raheam A.
Published: March 2021

The main objective of this paper is to study the concept of dependency and introduce a new subclass linked to derivatives of higher order for polyvalent functions with a different operator. Thus, the results were important it was obtained with respect to different types of some geometric properties of which coefficient estimate, distortion and growth bounds, radii of starlikeness, convexity, and close-to-convex.
The Ciliary Propulsion of An Electrically Conducting Johnson-Segalman Physiological Fluid Through A Porous Medium in An Inclined Symmetric A Channel with Slip
Authors: Salman Mohammed R.
Published: March 2021

The bionic systems are distinguished by electromagnetic pumping, which offers important advantages over the well-known traditional designs, whose clever ideas are inspired by the vital characteristics of many channels in living organisms. The complex features and characteristics that we observe in the mechanism of fluid transport in channels for the bodies of living organisms and the presence of cilia in the moving of these fluids and simulate this in the design of channels for non-Newtonian fluids. In our paper, we discussed this simulation in a mathematical model of the movement of a viscous, flexible, electrically conductive fluid in an inclined channel contains cilia in which a porous medium under the influence of a magnetic field. The fluidity conduct of the fluid is emulation through the Johnson-Segalman constituent model which allows interior wall slip. The coordinated and uniform motion of the ciliated brinks (which line an interior wall of the channel) is exemplified by a converging wave motion which generates a 2-dimensional velocity of the fluid. The system of partial differential equations obtained from this mathematical model with exists boundary value conditions through long wavelength and Reynolds number concepts is solved using a perturbation method.
⊕-RadJ-supplemented modules
Authors: Hussein Abdlkareem Ali , Khalid Wasan
Published: March 2021

Let R be any with identity and let M be a unitary left R–module. As a generalization of the Jacobson-supplemented module, we introduce RadJ-supplemented module, ⊕-RadJ-supplemented module and cofinitely ⊕-RadJ-supplemented module. Some properties of these types of modules are given.
Enhancement of Thermoelectric Properties of Porphyrin-based Molecular Junctions by Fano Resonances
Authors: Al-Utayjawee Rasool M. , Al-Owaedi Oday A.
Published: March 2021

Single-molecule porphyrin applications gain attention by using molecules as elementary blocks of electronic components involving metallic atoms. Theoretically, one type of molecular-scale porphyrin device is used in this article, consisting of organometallic single molecules with different metals (Zn, Mg, Cu and Fe), sandwiched between gold electrodes bound by thiol anchor groups. The transmission and Seebeck coefficients for Au|molecule|Au configurations were computed by using density functional theory (DFT). The findings show that there is a robust Fano resonance in the transport behaviour around the Fermi energy, only for the porphyrin-based device with Fe metal. This result is attributed to the destructive quantum interference between continuous and discrete states. This work not only indicates that there is a relationship between the electrical conductance and thermopower but also it introduces a promising strategy to affect and control these characteristics via creation of Fano phenomenon.
Security Evaluation for Stream Cipher Cryptosystem Based on Soft Computing and Theoretic Parameters
Authors: Al-Shuwaili S. R. , Al-Ibraheemi K. H.
Published: March 2021

Security evaluation means an examination of a system to determine its degree of compliance with a stated security model, security standard, or specification. There are different models for security assessment, and the operation of selecting the appropriate model depends on the type of the cryptosystem. Consequently, the criteria for assessing security differ from one model to another. Information security contributes directly to increase the level of trust between users by providing an assurance of confidentiality, integrity, and availability. The main goal of this paper proposing an evaluation model of the cryptography systems. in this paper focuses the stream cipher started from its simple component LFSR and then add more than one register and using a linear feedback shift register (LFSR) with Langford arrangements to generate system to achieve randomness and complexity and evaluated based on statistical tests, information theory, soft computing (fuzzy logic), game theory. The results were acceptable and successfully passed the required tests.