bluuebunny/crossref_metadata_2025_split huggingface dataset:
A MAP/PH(1), PH(2)/2 Production Inventory System with Multiple Servers and Varying Service Rates
Authors: Beena P. , Jose K. P. 
Published: July 2021

Abstract
The paper comprises an (s,S) production inventory facility in which multiple vacations and varying service rates are considered for the multiple servers. The arrival of customers constitutes a Markovian Arrival Process (MAP) and service completion times follow the phase type distributions with representations (
α, S
) and (
β, T
) respectively. Manufacturing needs to begin at the moment when the stock position falls to s. Service is offered at a lower rate if the stock level ranges from 0 to s and the service time distribution has the representations (α, η
1
S) and (β, η
2
T ), 0 <
η
1, η
2
< 1 respectively. If the stock level reaches the maximum S, production is ceased to operate. 1-limited service policy, Bernoulli service schedule, and Exhaustive service disciplines are considered for the servers. A suitable cost function is outlined as per performance assessment. The impact of negative correlated inter arrival times on cost function is illustrated. Also, a relative study of expected cost function on different service modes is presented.
Computational modeling and water analysis of parameter estimation by uncertainty quantification in water resources
Authors: Judith Kiruba R , Geethalakshmi G , Ida Malarselvi R , Irene Hepzibah R , Deepika A. , Priscilla R , Ramachandra Raja C 
Published: July 2021

Abstract
Falling losses from aquatic disease is the main public condition goal in developed countries. The present study terms the application of Physical Sciences and Environmental Sciences techniques to solve the real-life problem associated with the society. Water samples are taken from a river, pond, bore well, and municipality at Kabisthalam in Kumbakonam Taluk, Tanjore District, Tamil Nadu, South India. The current work defines the expansion of mathematical typical to expect the interaction parameters which were used to determine the quantitative characteristics of the water. Analysis of Variance (ANOVA) was employed to identify the level of importance in interaction parameters on their characteristics. The effect of these parameters on interaction has been investigated using experimental designs. The new results have been correlated using the Fuzzy Evidence Theory. The salient aspect of the work is that a very simplified analytic output of the fuzzy model is achieved when all fuzzy sets in the fuzzy partition of the output space have the same power (the area under the membership function), and the determination of basic probability assignments associated with fuzzy Dempster-Shafer belief structure using fuzzy focal elements.
Solving Non Linear Differential Equations By Using A G - Homotopy Analysis Method
Authors: Saratha S R , Bagyalakshmi M , Sai Sundara Krishnan G 
Published: July 2021

Abstract
This paper proposes an efficient hybrid analytical method named the Generalized Homotopy Analysis Method (GHAM) for solving nonlinear differential equations. The proposed hybrid method consists of topology based Homotopy Analysis Method (HAM) and Laplace typed integral transform (G-transform). Compared with HAM, GHAM does not require the effort to perform repeated integration and differentiation, when it is applied to solve higher order differential equations. Compared with G-transform, GHAM serves as an effective approach to tackle higher-order nonlinear differential equations. The effectiveness of GHAM is illustrated through the analysis of numerical examples, and the obtained results are graphically depicted. Also, GHAM is effectively utilized to analyze the density of the forest cover incorporating various parameters, which include the seed reproduction, seed deposition, seed establishment rates, old trees due to aging and the coefficients of mortality due to space variables.
Nonclassicality of Photon Added Bipartite Glauber Lachs State
Authors: Ramanujam Sathiyabama , Ahmed A. B. M. 
Published: July 2021

Abstract
Mixture of coherent state with thermal noise is known as the Glauber Lachs state, which is taken into consideration. Nonlocal photon addition is imposed on the two mode Glauber Lachs state by the application of bosonic creation operators. This nonlocal photon addition induces nonclassicality, revealed in the single mode and two mode squeezing properties. The ratio of the coherent noise to thermal noise is the key factor in observing the nonclassical features. The tolerance limit of the noise for the nonclassicality is discussed in single mode squeezing and two mode squeezing quadrature operators. The results show that the squeezing properties are less pronounced even for the low level of thermal noise.
b-COLORING ON GRAPH OPERATORS
Authors: Nagarathinam R. , Parvathi N. 
Published: July 2021

AbstractGiven a graph G, b coloring seeks a proper coloring of G with the descriptive property that every color class in the graph contains a dominating vertex. We have to minimize the number of colors in proper coloring. In this paper, we show how chromatic and b-chromatic number of a graph changes with the graph operators and relation between chromatic and b-chromatic number has been explored.
Multi-criteria decision making process using complex cubic interval valued intuitionistic fuzzy set
Authors: Chinnadurai V , Thayalan S , Bobin A 
Published: July 2021

Abstract
This paper presents a new notion of complex cubic interval valued intuitionistic fuzzy set (CCIVIFS) which is an extension from the innovative concept of a cubic interval valued intuitionistic fuzzy set (CIVFS). The novelty of CCIVIFS is to achieve more range of values with the combination of interval-valued membership, interval-valued non-membership and fuzzy membership. We define some basic operations namely complement, union, intersection and notions of

α

˜

-internal,

b

˜

-internal,

α

˜

-external and

b

˜

-external complex cubic interval valued intuitionistic fuzzy set are introduced. Also P-union, P-intersection, R-union and R-intersection of

α

˜

-internal and

b

˜

-external complex cubic IVIF sets are discussed. Furthermore, a group decision-making method is discussed to illustrate the applicability and validity of the proposed approach.
Novel conditions for finite-time stability of neural networks with time varying delay
Authors: Emharuethai Chanikan 
Published: July 2021

Abstract
In this paper, the problem of finite-time stability of neural networks with time varying delay is considered by using improved reciprocally convex inequalities and some integral inequalities, combined with Wirtinger’s inequalities and some useful integral inequality. New sufficient conditions for finite-time stability are established to guarantee finite-time stability for the system are given in terms of linear matrix inequalities(LMIs). Numerical examples are given to illustrate the effectiveness of the obtained result.
OSCILLATORY AND ASYMPTOTIC SOLUTIONS OF QUASILINEAR THIRD-ORDER DELAY DIFFERENCE EQUATIONS
Authors: Revathy S , Kodeeswaran R 
Published: July 2021

Abstract
In this research, we deals with the quasilinear third order delay difference equations of the term

Δ

(
ρ
(
n
)

(

Δ

2

y
(
n
)
)

α

)

+
q
(
n
)

y

α

(
n
−
σ
)
=
0
,

n
⩾

n

0

. We establish the sufficient conditions for all solutions of studied equation to be oscillatory or almost oscillatory. The criteria improve and complement of existing results. We provide some examples to describe the major results.
Analytical Modeling of AIN-Based Film Bulk Acoustic Wave Resonator for Hydrogen sulfide Gas detection Based on PiezoMUMPs
Authors: Ba Hashwan Saeed S , Khir M H Md , Al-Douri Y , Ahmed Abdelaziz Y , Algamili Abdullah S , Alabsi Sami S , Junaid Mohammed M 
Published: July 2021

Abstract
Aluminium nitride (AIN) thin film bulk acoustic resonator (FBAR) sensor for hydrogen sulfide gas detection has been designed and mathematically modelled using CoventorWare and MATLAB software, respectively. The designed FBAR sensor is based on the PiezoMUMPs fabrication technology. The detection principle of the FBAR gas sensor is based on the resonant frequency changes detection due to the mass change on the top electrode of the sensor induced by the absorbed gas molecules by the nanomaterial deposited on the surface of the top electrode device. Reduced graphene oxide hybrid with copper oxide was considered as the sensitive nanomaterials and their mass loaded was evaluated in the theoretically calculation. The resonant frequency of the shear mode of the FBAR sensor has been calculated theoretically and found to be 9.4524 GHz. The effects of the gas molecules on the resonant frequency have been investigated using a mathematical equation and it shown that the increasing of the gas mass on the sensor surface will reduce the sensor resonant frequency. Furthermore, the sensitivity of the sensor was calculated to be 0.22615 Hz/fg.
Investigation on The Mutual Coupling Reduction in MIMO Antenna using Dual Split CSRR EBG
Authors: Alsayaghi Ali , Sabapathy Thennarasan , Jusoh Muzammil , Hossain Kabir , Ahmad R Badlishah , Osman Mohamed Nasrun , Jayaprakasam Suhanya , Rahim Hasliza A , Raghava N. S. 
Published: July 2021

Abstract
In many applications, it is now desirable to prevent a device from being affected by an external electromagnetic field or prevent the device’s intrusion into the electromagnetic field. The elimination or reduction of coupling between neighbouring systems is desired, and this is achieved through the use of electromagnetic shields and absorbers. This project focuses on an investigation that analysed the band-gap region for unit cell EBG simulation and unit cell array simulation. It is revealed that unit cell simulation provides an accurate result where the band-gap region is from 2 GHz to 3.5 GHz. The performance of the EBG is validated using a microstrip MIMO antenna. Using EBG, the S21 is reduced from -18.63 dB to -28.80 dB. Meanwhile, the MIMO antenna gain with the proposed EBG is 2.78 dBi, greater than MIMO antenna without EBG (2.47 dBi).
Moment Invariants Technique for Image Analysis and Its Applications: A Review
Authors: Nasrudin Mohd Wafi , Yaakob Nizam Shahrul , Abdul Rahim Nazren Amir , Zahir Ahmad Mohd Zamri , Ramli Nuraminah , Aziz Rashid Mohd Shaiful 
Published: July 2021

Abstract
The Moment invariant is a feature extraction technique used to extract the global features for shape recognition and identification analysis. There are many types of Moment Invariants technique since it was introduced. To date, many applications still use the Moment Invariant technique as feature extraction technique to extract the features of any images. The reason why the Moment Invariants still valid till today because its capabilities to analyze the image due to its invariant features of an image based on rotation, translation and scaling factors. Therefore, this review paper focuses to elaborate the history of Moment invariants and its applications in related fields. The summary about the advantages and disadvantages of Moment Invariants techniques will be described at the end of this review paper.
Experimental study of Bipolar PV Inverter for nonlinear load
Authors: Aihsan M. Z. , Fahmi M.I. , Liew H F , Mustafa W.A. , Rohani M.N. K. H. , Jamlos M. A. 
Published: July 2021

Abstract
One of the attractive options for converting solar PV DC/AC modules is a bipolar inverter as bipolar technique provide easy control and theoretically low-priced technology. A few drawbacks to this bipolar method, since it has a high voltage DC-link ripple, which can cause high harmonic inverter distortion. A smooth DC voltage is then needed to preserve the unstable voltage of the PV device in such a way that the overall harmonic distortion of the inverter is preserved at the regular stage. This paper will demonstrate the impact of unstable voltage from PV and connecting to the nonlinear load. The performance of the converter in term of efficiency and THD performance are monitored and reported.
A Tuned Version of Ant Colony Optimization Algorithm (TACO) for Uniform Strength T-way Test Suite Generator: An Execution’s Time Comparison
Authors: Ahmad Mohd Zamri Zahir , Othman Rozmie Razif , Ali Mohd Shaiful Aziz Rashid , Ramli Nuraminah , Nasrudin Mohd Wafi , Halim Ahmad Ashraf Abdul 
Published: July 2021

AbstractSoftware testing is one of important phase in software development. The capabilities of t-way testing to cater bugs due to interactions while reducing the test suite size compare to exhaustive testing has been proven in past decades. However, the execution’s time of the t-way strategy also should be given attention as it could increase the productivity of the testing phase. Thus, this paper proposed a tune version of ant colony optimization algorithm (TACO). TACO is metaheuristic strategy where it adopts ant colony optimization in generating test suites. As further improvement, TACO also integrated with fuzzy logic to dynamically select amount of ant in the algorithm. TACO able to supports uniform strength t-way testing. Experiment result shows that TACO produce a remarkable result of test suite size and execution’s time compared to other strategy for uniform strength t-way testing.
SNN-SB: Combining Partial Alignment Using Modified SNN Algorithm with Segment-Based for Multiple Sequence Alignments
Authors: Ali Aziz Nasser Boraik , Hassan Hassan Pyar Ali , Bahamish Hesham 
Published: July 2021

Abstract
Multiple sequence alignment (MSA) is an essential tool in the area of bioinformatics. Many MSA algorithms have been proposed last decade, however there is still opportunity for improvement in accuracy. Including partial alignment into MSA has been proved to be an effective approach to improve the quality of results of final Multiple sequence alignment. This paper presents a novel algorithm known as SNN-SB, which used to detect the related residue of protein sequences to build partial alignments using modified Shared Near Neighbors algorithm and segment-based alignments. The partial alignment is used as guide for DIALIGN-TX algorithm to build the final MSA. In order to evaluate the effectiveness of the SNN-SB, we compared the final result with 10 outstanding MSA tools. The results of SNN-SB got the maximum mean Q score and mean SP score on IRMBASE 2.0 benchmark. Moreover, it got around 8% improvement in BAliBASE 3.0 benchmark regarding to Q score compared to DIALIGN-TX.
Gain Enhancement of CPW Antenna for IoT Applications using FSS with Miniaturize Unit Cell
Authors: Azemi Saidatul Norlyana , Beson Mohd Rashidi Che , Amir Amiza , Azhari Mohd Syahir Bin Ahmad , Jiunn Ng Kok 
Published: July 2021

Abstract
Wireless connectivity is a critical enabler for many IoT applications. Antennas are often required to be installed inside the device cover, which usually occurs in small sizes with optimal performance. On the other hand, a suitable antenna should also have high efficiency, gain and adequate bandwidth covering the desired frequency range. Here, we proposed new type of Frequency Selective Surface (FSS) with miniaturized resonator element to enhance the gain of an CPW antenna. Furthermore, the miniaturization of the Frequency Selective Surface unit cell is attained by coupling the two meandered wire resonators. The wire resonator is separated by thin and single substrate layer. The structure of the FSS is shown to have a FSS unit cell dimension that is miniaturized to 0.057λ. The CPW antenna size is only 28.8mm × 46.5mm operating at 2.45 GHz frequency. With the additional of the FSS, the antenna’s gain reaches up from 1.8 dBi to 2.6 dBi with omnidirectional radiation pattern.
IOT Smart Guidance Parking Search System for Open Space Parking Area
Authors: Iszaidy I. , Ngadiran R. , Nazren A.R.A. , Wafi N.M , Ramli N. , Vijayasarveswari V. , Leow W.Z 
Published: July 2021

Abstract
Open parking facilities can be automated and parking spaces can be easily operated by the implementation of IoT technology (Internet of Things). In this article, we present the evolution and prototyping of the open space smart guidance-parking search system, an IoT-based smart parking search system. The Smart Guidance Parking Searches System consists of i) An IOT module to monitor the availability of a parking slot and to update the parking lot status; and (ii) A web-based software allows users to view parking spaces available for a specific open space area. This paper addresses the existing system, device description, its functional specifications, the methods, and technologies used, the development/deployment of prototypes, along with the findings from the demonstration. This device serves as a guide for the user/driver to search for the parking slot occupancy in open/outdoor environments.
Some Entropies and Stress-Strength model for Exponentiated Inverted Gamma Phenomena
Authors: Abid Salah H. , Kadhim Fadhl J. 
Published: July 2021

Abstract
Since Gupta et al. (1998) [8] suggested the Exponentiated class of distributions, a lot of published papers based on this class to derive new distributions for representing set(s) of real data more flexibly. In this paper, we present Exponentiated Inverted Gamma distribution (EIGD). The rth raw moments function form derives for new densities. Stress-strength reliability, Shannon and relative entropies have also been discussed.
Real-life Dynamic Facial Expression Recognition: A Review
Authors: Saleem Sharmeen M. , Zeebaree Subhi R. M. , Abdulrazzaq Maiwan B. 
Published: July 2021

Abstract
In emotion studies, critiques of the use of a static facial expression have been directed to its resulting from poor ecological validity. We conducted a study of studies in the present work, which specifically contrasted recognizing emotions using dynamic facial expressions. Brain imaging experiments and behavioural studies with associated physiological research are also included. The facial motion appears to be connected to our emotional process. The findings of laboratory brain injury experiments also reinforce the concept of a neurological dissociation between static and dynamic expression mechanisms. According to the findings of electromyography studies of dynamic expressions of affective signals, those expressions evoke more extreme facial mimic physiological responses. Studies significantly affirm the essence of dynamic facial gestures.
Influence of copper addition on the properties of equiatomic NiTi shape memory alloy prepared by vacuum induction melting method
Authors: Mohammed Safa H. , Mohammed Mudhafar A. , Aljubouri Ali A. , Shahatha Sara H. 
Published: July 2021

Abstract
In this study the effect of Cu addition on the phase transformation behavior, microstructure, and micro hardness of equiatomic Ni-Ti shape memory alloy was investigated. NiTiCu SMA prepared with the composition (52.119 % at. Ni, 41.731% at. Ti and Cu 6.15 % at.) and compared with the properties of the equiatomic NiTi SMA with composition (50% at. Ni, 50% at. Ti). Vacuum induction melting method used in the preparation of Both SMAs. The Differential Scanning Calorimetry, Scanning Electron Microscope, X-ray Diffraction Analysis, optical microscope and vicker’s microhardness test was used to investigate the characteristics of the equiatomic NiTi and NiTiCu SMAs. The results revealed that when Cu element was added the phase transformation temperatures decreased below body temperature. NiTi matrix phase and Ti2Ni secondary phase exist in both SMA samples, also Cu-rich phase appeared in NiTiCu SMA and this is one of the reasons that lead to increasing the microhardness of alloy when Cu element was added. The value of equiatomic NiTi increases from 238.74 to 329 when Cu element was added (for NiTiCu alloy) after heat treatment.
Estimate the median lethal dose using the exponential model
Authors: Hussein Iden Hasan , Abood Haneen Jawad 
Published: July 2021

Abstract
In this research, biological assays for testing toxins in the disinfection jungles Roanstar are studied on a group of fish. The dose-response relationship was estimated using an exponential model, applied the MLE method to estimate the parameters of the exponential distribution. The Fisher’s information was used and the cumulative distribution function to estimate the median lethal dose LD50 which extracted confidence limits for it at specific time intervals.
Spectroscopic diagnostic and structural characterization for (Selenium, Zinc oxide and Manganese oxide) prepared by laser induce plasma
Authors: Aadim K A , Jassim R H 
Published: July 2021

Abstract
.In this paper, the plasma parameters of the three materials (selenium, zinc oxide, and manganese oxide) were calculated using laser induced breakdown spectroscopy, where the plasma is generated by this technique through the interaction of the laser with the solid target and the calculation of the electron temperature and electron density. Also, the structural properties of the prepared thin films were studied. It was found from the standards that the crystal size (XRD) of the three materials decreases with increasing energy, and this corresponds to measurements of (AFM) where the average diameter decreases with increasing energy
Some Relations On Fuzzy δg-ס pen Set in Fuzzy Topological Space on Fuzzy Sets
Authors: Al-Khafaji Munir A , Al-Mayali Ahmed A 
Published: July 2021

Abstract
The aim of introduce and study the notion of a ᵮuzzy δg-סpen set, and the relationships between it and (iuzzy regular g-סpen set, iuzzy Ag-open set, ᵮuzzy Δg-סpen set, ᵮuzzy θg-סpen) in ᵮuzzy topological space on ᵮuzzy set.
Effect of Adding Titania and Alumina on the Bioactivity Properties of Porous Hydroxyapatite via Replication Method for Bone Reconstruction
Authors: Shahatha Sara H. , Mohammed Mudhafar A. , Mohammed Safa H. , Jaffer Lina Mohammed 
Published: July 2021

AbstractIn this investigation, Hydroxyapatite/Titania and hydroxyapatite/Alumina porous composites at five various proportions were manufactured by replication method A.K.A the polymeric sponge method. HAp powder was fabricated by a “solid-state reaction” in molar proportion between (TCP)Tri calcium phosphate and Ca(OH)2 Calcium hydroxide. The microstructures were examined by utilizing (XRD), (SEM) and EDX”. Incubated for thirty days in SBF (Simulation Body Fluid),a thin layer like apatite formed completely on a bone specially on the surface of the samples was.. There’s a very low degeneracy degree when amount of the reinforcements materials increased..
Transition state application to simulate CO gas sensor of pristine and Pt doped tin dioxide clusters
Authors: Abdulsattar Mudar Ahmed , Jabbar Rashid Hashim , Abed Hussein H. 
Published: July 2021

Abstract
Carbon monoxide sensitivity of pristine and Pt doped tin dioxide (SnO2) is investigated in the present work using transition state theory. The use of transition state theory leads to a double exponent function formula for the concentration and sensitivity of the material. The method uses Gibbs free energy, enthalpy, and entropy of activation to formulate sensitivity, response time, and recovery time. The results showed that the activation energy of Pt doped SnO2 nanocluster is lower than the pristine SnO2 nanocluster. The Pt doped clusters promote higher reaction rates than pristine clusters. However, the activation energy of recovery with oxygen reaction is lower for the pristine cluster. The results also showed that the activation energy and reaction rates increase with temperature. The concentration of oxygen-deficient molecules in pristine and doped tin oxide as a function of temperature that represents the sensitivity of the sensor has the highest value at 225 °C. The theoretical results also show that response time decreases while recovery time increases with the increase of CO concentration. The results agree with experimental results.