bluuebunny/crossref_metadata_2025_split huggingface dataset:
On Subclass of Meromorphic Analytic Functions Defined by a Differential Operator
Authors: Al-Khafaji Aqeel Ketab 
Published: March 2021

Abstract
In this work, using the differential operator and the concept of meromorephic analytic functions we introduce and investigate the class

Σ

β
,
λ

α
,
m

(
A
,
B
,
Y
,
β
)

, of functions of the form

f
(
z
)
=

z

−
1

+

∑

n
=
1

∞

a

n

z

n

,

a

n

≥
0

, which are analytic and meromorphic univalent in the punctured unit disk

U

*

=
{
z
∈
C
:
0
<

|

z

|

<
1
}

, satisfying

|

A

[
γ

z

2

(

D

β
,
λ

α
,
m

f
(
z
)
)

′
′
′

+
z
(
3
Υ
+
β
)

(

D

β
,
λ

α
,
m

f
(
z
)
)

′
′

+
(
Υ
+
β
)

(

D

β
,
λ

α
,
m

f
(
z
)
)

′

]

B

[
Υ
z

(

D

β
,
λ

α
,
m

f
(
z
)
)

′
′

+
(
Υ
+
β
)

(

D

β
,
λ

α
,
m

f
(
z
)
)

′

]

|

<
1

. Further, coefficient bounds, Hadamard product, radius of close to-convexity, inclusive properties and neighbourhoods of functions in our class are obtain.
Maximum Likelihood Estimation and Bayesian Estimation of three-parameter Weibull Distribution Based on Interval-Censored Data
Authors: Ameen Abdullah A. , Akkash Uday A. 
Published: March 2021

AbstractThe interval-censored data is that represents adjacent inspection times that surround an unknown failure time. This paper gives a review of the classical approach of the maximum likelihood estimating method to parameters of three-parameters Weibull distribution with interval-censored data. It also considers the Bayes’ estimators under asymmetric three loss functions squared error loss (SEL), linear-exponential (LINEX), and generalized entropy loss (GEL) functions. For the unknown parameters of three-parameters Weibull distributions with interval-censored data. We use Lindley’s approximation to compute the Bayes estimates. Then we will apply a Monte Carlo simulation study is carried out to compare the performances of the methods using the R programming language to compute and compare the performance of the proposed estimators. A real data application is also presented. The study observed that the Bayesian estimator under generalized entropy loss (GEL) functions is preferred over the classical maximum likelihood estimator for all parameters of scale, shape, and location.
Novel Methods to acceleration Simpson’s 3/8 Rule
Authors: Hassan Adel Mohamed , Aflook Salah Mahdi 
Published: March 2021

Abstract
The main goal of this report is to find new accelerations of Newton-Coates methods. Especially the Simpson 3/8, Boole’s and Weddle’s rules and use them to find numerical results for continuous integrations. The results are faster and more accurately. The error rate is less than previous methods. The derivation of new accelerated laws is trigonometric, hyperbolic and exponential for each of the Simpson 3/8, Boole’s and Weddle’s rules.
Gait and Full Body Movement Dataset of Autistic Children Classified by Rough Set Classifier
Authors: Al-Jubouri Ahmed A. , Ali Israa Hadi , Rajihy Yasen 
Published: March 2021

Abstract
Gait and body movement are a window to human brain which make these activities unique for each person. These activities are used to diagnose some disorders related to parts of brain which causes have not been known such as Autism Disorders (AD). The traditional diagnostic methods of AD are time-consuming and highly dependent on clinician’s judgment which is based on behaviour assessment. This approach leads to subjective interpretations that differ from doctor to another and affect by strengths and weaknesses of patient. Therefore this paper aims to diagnosis of AD based on gait and body movement analysis. At first, Kinect v2 uses to create a 3D dataset, which includes three dimensional joints positions, joints trajectories video, skeleton movement video captured by Kinect v2, and color videos captured by Samsung Note 9 camera. This paper also aims to classify children with autism from normal children by proposed system based on four stages: Augmentation of the database by using seven transformations to deal with small number of autism cases; Extracting features that we think play an important role in classification; Reducing data dimensions using Principal Component Analysis; using Rough Set to classify dataset. Results show that classification is 92% after augmentation.
ON Socale-Prime Submodules
Authors: Shahad Haithab Abood , Al-Muthafar Nuhad Salim 
Published: March 2021

Abstract
Let R be a commutative with non-zero identity, let A be a R-module. In this paper submodule H of an R-module A to be Soc-prime if whenever r ∈ R, a ∈ A with < a > ≤ Soc(A) and ra ∈ H then either a ∈ H or r ∈ [H: A]. We give a number of characterizations of Soc-prime submodules.
Common Fixed Points Results of Self-Mapping Satisfies Ĉλ Condition on N-Banach Spaces
Authors: Salman Enas Dawood , Jamil Zeana Zaki 
Published: March 2021

Abstract
In this paper, we proved the existence of common fixed point for a pair of self mappings satisfies (Ĉλ) condition, using iteration scheme to compute the common fixed points of two mappings which is one of Ishikawa type iteration scheme.
Electronic and Spectral Properties of (PMMA-C102) by Using DFT
Authors: Talib Zahraa Abbas , Najeeb Hussein Neama 
Published: March 2021

Abstract
In this research, the electronic and spectral properties of PMMA with coumarin dye were studied. The suggested compounds are designed at the Gauss View 5.0.8 program and then relaxed by performing the three parameters Lee-Yang-Parr B3LYP hybrid functional density functional theory DFT method together with SDD basis sets at the Gaussian 09 package of programs to study of their ground state and spectroscopic properties. The electronic properties study included the ionization potential, electronic affinity, hardness, and electrophilicity, while the spectral properties included studying the IR spectra of the suggested compounds.
IoT Based Smart Garbage Collection Using RFID Andsensors
Authors: Ranjana P. , Varsha S , Eliyas Sherin 
Published: March 2021

Abstract
Most of the places in India suffer from poor garbage disposal. In Indian cities due to the growth of population garbage disposal has become a challenging task for the municipality authority. Trashes are spread over the roads and vacant land in most of the places. This is due to disposal of garbage on the road instead of garbage bins. People are not able to dispose the garbage in garbage bin due to garbage overflow and not disposing the garbage frequently. If a city is aiming for smart city then it has to maintain the hygienic condition of the city, if garbage is not disposed properly then it becomes a crucial health issues since maintaining hygiene becomes a challenging task. So to overcome this and to maintain the garbage system the dust bins are attached with sensors and the data collected through the sensors are sent to the corporation office control room. This is enabled used a wireless communication technology. The level of the garbage is supervised using an Graphical user Interface which is integrated with the Android application. The dust bin location is traced with a help of GPS enabled in the garbage bin. The location of dustbin information is also tracked using the GPS system integrated with the garbage bin. If these devices are integrated then it will enable to reduced the overall time in tracking and disposing the dustbin on time, thus the dustbin in regularly monitored. The bin is attached with RFID reader, load cell, gas sensors, and humidity sensors. The bin is operated based on the RFID reader and sensors which opens the bin according to the dry and wet waste. The RFID tag is given to the public. The public needs to display the RFID tag to throw the trash in to the dustbin. The person who is throwing the maximum number of garbage is rewarded with points. The weight of the garbage thrown by the user is calculated by the load cell placed in the dustbin. By this way we can avoid the public throwing the garbage on streets. The humidity sensor is placed to separate the wet and dry waste. Thus it helps in the disposal of the garbage and avoid in spreading of diseases due to the trashes spread across the streets.
Design of Modified Counter based PWM generator for closed-loop DC-DC Voltage Regulation
Authors: Prathap Joseph Anthony , Shanmugasundaram Ravivarman , Kranthi Kiran Reddy M. , Harika K. 
Published: March 2021

Abstract
This paper proposes the design of a novel Modified Counter based Digital Pulse Width Modulation generator to analyze the performance of the closed-loop DC-DC buck converter. The closed-loop DC-DC buck Converter uses the Proportional Integral controller to regularize the output voltage and the bio-inspired algorithms namely Particle Swarm Optimization and Ant Colony Optimization are considered for the generation of the optimal values for the PI gains namely KP and KI. Conventionally, the switching of the buck converter is controlled by the PWM signals that exhibit complexity in design. The updated Digital Pulse Width Modulation techniques were suitable for voltage regulation at the cost of high clock frequency requirement, increase in the design area for real implementation, and the trade-off between the switching frequency and the component size of the buck converter. To overcome these, the modified Counter based Digital Pulse width modulation that generates the high switching frequency DPWM is developed in HDL. Then the proposed technique is validated in the closed-loop PI-based DC-DC buck converter using the System Generator MATLAB SIMULINK. To regularize the voltage output, the PI controller is included along with the optimization algorithms such as Particle Swarm Optimization and Ant Colony Optimization to optimize the PI gains. The time transient analysis of the proposed method exhibits improvement in the ACO based design compared to the PSO based method. The power and area are manipulated by using the Cadence and Xilinx tools
Voltage Sag Mitigation in PV Boot-Strap Converter Inverter System
Authors: Jyothi Kesa , Ravikishore D. , Jain H.S. 
Published: March 2021

Abstract
This-effort displays an idea to straightforwardly mitigate sag in PV-Inverter system. ‘This effort deals with designing, modeling &comparison of PV fed Bootstrap converter and three phase inverter (PVBSCTPI) system with and without LVRT (Low voltage ride through). Here, PV is utilized as a source.„_The-Simulink-models for-PVBSCTPI with and without LVRT have been-developed using the-elements of Simulink&-investigations are executed. The outcomes are compared-in terms-of output voltage, Real & Reactive power. The outcomes represent that voltage sag of PVBSCTPI system is mitigated using a DVR. The improved performance-in terms-of voltage has been obtained with LVRT based - PVBSCTPI system. The output voltage and power are found to be higher with LVRT.
The what, why, and how of changing cooling energy consumption in India’s urban households
Authors: Khosla Radhika , Agarwal Anna , Sircar Neelanjan , Chatterjee Deepaboli 
Published: March 2021

Abstract
India’s urbanising middle class is at the brink of an unprecedented increase in residential cooling demand, yet little is understood about the dynamics of changing cooling consumption. Based on empirical analyses, this research examines a set of fundamental questions around India’s cooling transition. How is cooling conceptualised and what cooling strategies do households use? How, when and why are people purchasing and using their air conditioners (ACs)? Who is buying energy-efficient ACs? Is cooling consumption gendered? Using descriptive statistics, machine learning, and regression analysis to characterize AC usage, we examine a sample dataset (n = 2092) that is representative of areas in Delhi with above average AC penetration. We unpack perceptions of thermal comfort, and characterize the conditions under which households have greater AC use and make energy efficient purchase choices. AC usage is found to be a function of household habits (such as exposure to ACs in the workplace or schools), structural factors, and socio demographic features. While most ACs are in the middle energy-efficiency range, preferences, behaviours and awareness around energy efficiency are found to affect AC use as well as influence the purchase of more efficient ACs. Notable gender differences are observed, and women are found to be less involved in decision-making around cooling appliances and less aware of the technical know-how or energy-efficient schemes. Policy recommendations for a low-carbon cooling trajectory are discussed.
Local number variances and hyperuniformity of the Heisenberg family of determinantal point processes
Authors: Matsui Takato , Katori Makoto , Shirai Tomoyuki 
Published: March 2021

Abstract
The bulk scaling limit of eigenvalue distribution on the complex plane

C

of the complex Ginibre random matrices provides a determinantal point process (DPP). This point process is a typical example of disordered hyperuniform system characterized by an anomalous suppression of large-scale density fluctuations. As extensions of the Ginibre DPP, we consider a family of DPPs defined on the D-dimensional complex spaces

C

,

D
∈
N

, in which the Ginibre DPP is realized when D = 1. This one-parameter family (

D
∈
N

) of DPPs is called the Heisenberg family, since the correlation kernels are identified with the Szegő kernels for the reduced Heisenberg group. For each D, using the modified Bessel functions, an exact and useful expression is shown for the local number variance of points included in a ball with radius R in

R

2
D

≃

C

D

. We prove that any DPP in the Heisenberg family is in the hyperuniform state of class I, in the sense that the number variance behaves as R
2D−1 as R → ∞. Our exact results provide asymptotic expansions of the number variances in large R.
Rice yield estimation in An Giang province, the Vietnamese Mekong Delta using Sentinel-1 radar remote sensing data
Authors: Hoang-Phi P , Nguyen-Kim T , Nguyen-Van-Anh V , Lam-Dao N , Le-Van T , Pham-Duy T 
Published: March 2021

Abstract
Rice production in Vietnam has been developing rapidly and sustainably in recent years, contributing to ensuring national food security. However, it is facing the effect of climate change, sea-level rise, salinity intrusion, drought, and flood which threatens food production, especially in the Vietnamese Mekong Delta. For this reason, building a tool that allows estimating rice yield is necessary. SAR (Synthetic Aperture Radar) remote sensing data from Sentinel-1 satellites is provided by European Space Agency (ESA) with no cost, large coverage, and high spatio-temporal resolution, which has the advantage of observation in cloudy, foggy, rainy weather and independent of solar radiation. Therefore, this data is suitable for rice monitoring in countries with tropical monsoon climate like Vietnam. This paper presents the results of estimating the Winter-Spring rice yield in 2018 by using multitemporal Sentinel-1 data with C-band. The estimated rice yield was compared with the in-situ yield, which shows that the average values of the samples of estimated and surveyed yield were equivalent with 6.5 ton/ha and 6.6 ton/ha respectively, and the standard deviation between the estimated and surveyed yield was 0.80 ton/ha. The results demonstrate the applicability of the multitemporal SAR Sentinel-1 data for estimating rice yield in the study area, An Giang province, the Vietnamese Mekong Delta.
The influence of satellite image spatial resolution on mapping land use/land cover: a case study of Ho Chi Minh City, Vietnam
Authors: Nguyen-Van-Anh V , Hoang-Phi P , Nguyen-Kim T , Lam-Dao N , Vu TT 
Published: March 2021

Abstract
Different spatial resolutions of optical satellite imagery provide different details in land use/land cover (LULC) mapping. Therefore, it is essential to decide the appropriate classification system for specific spatial resolution. This study used the same classification system to extract land use/land cover for District 2 and District7 of Ho Chi Minh City, Vietnam in 2018 from two different spatial resolutions, Sentinel-2 (10 m) and VNREDSat-1 (2.5 m), images. Using the same set of ground truth data, the accuracy of the classified maps was assessed to select the right image for the study area corresponding to the given classification system. The outcomes revealed that both optical satellite images produced high overall accuracy (83% for Sentinel-2 images and 86% for VNREDSat-1 images) on the same classification system. It is easier to classify the cropland, grassland, roads, and industrial zones with VNREDSat-1 image whereas perennials, bare land, and aquaculture were easily classified with Sentinel-2 due to their homogeneity at a lower spatial resolution. This shows the importance of choosing the right spatial resolution following the requirements of the classification system.
Rapid determination of mixed soil and biochar properties using a shortwave near infrared spectroscopy approach
Authors: Darusman D , Juwita I R , Munawar A A , Zainabun Z , Zulfahrizal Z 
Published: March 2021

Abstract
Presented study aimed to apply the near infrared spectroscopy approach in determining some related properties of soil mixed by biochars. Spectra data of soil samples were acquired using a self-developed NIRS instrument (PSD NIRS i16) in shortwave near infrared (SW-NIRS) range from 1000 to 1750 nm with optical gain 4x and co-added of 32 scans per acquisitions. Spectra data were corrected and enhanced using mean centering and peak normalization. Multivariate analysis namely principal component regression (PCR) were employed to develop NIRS based models followed with leverage validation. The results showed that mixed soil samples with biochar properties (K and N) can be determined simultaneously with maximum correlation coefficient are 0.86 and 0.77 for K and N respectively. Based on this obtained performance, it may conclude that SW-NIRS approach can be applied to determine related properties of mixed soil biochar samples rapidly.
Screening of biological control agent fungi against peanut stem rot (Sclerotium rolfsii Sacc.) in the peatlands of Kuala Pesisir Nagan Raya, Aceh, Indonesia
Authors: Subandar I , Hakim L , Suliansyah I , Syakur S 
Published: March 2021

Abstract
Peanut stem rot disease caused by Sclerotium rolfsii Sacc. is a problem that needs special attention in peatlands. Peatlands that are wet, acidic and contain high organic matter should be able to support and increase the pathogenicity of S. rolfsii. However, this is not the case for the peatlands of Kuala Pesisir Nagan Raya, have been other components cause these pathogens not to develop. Here we try to examine the biological elements, namely the existence of biological control agents from the fungal group, which generally like the same environmental conditions as pathogens. This study aims to obtain peat soil antagonistic fungi that can control S. rolfsii. This research was conducted in Kuala Pesisir, Nagan Raya Regency, Aceh, Indonesia. Research activities include isolation, morphological identification, pathogenicity testing, antagonist testing, and molecular identification. The results obtained 46 fungal colonies from three sources, namely weed rhizosphere around peanut farming, peanut rhizosphere, and groundnut roots. The results showed that there were antagonistic fungi that could suppress S. rolfsii, namely Trichoderma asperellum.
Removal of methylene blue from water using sugar palm agro industry waste adsorbent
Authors: Hakim H M A , Supartono W 
Published: March 2021

Abstract
This research was batch experiment conducted using palm powder waste (SPPW) from the palm agro industry. Variables studied were initial of solution pH and SPPW dose. Langmuir and Freundlich isotherm models were used for equilibrium analysis. For kinetics analysis, this study used Lagergren's pseudo-first-order kinetics model, Ho’s pseudo-second-order kinetics, ritchie and intraparticle diffusion. The study was found that the increase solution pH would increasing of adsorption capacity from 30.31 mg g-1 at pH 2 to 66.70 mg g-1 at pH 8. The dye removal was increase from 83% to 95% for the adsorbent dose from 0.5 gL-1 to 2 gL-1 while adsorption capacity was reduced from 66.70 to 19.01 mg g-1. The equilibrium studies well interpreted by the Freundlich and maximum adsorption capacity (qm) is 312.5 mg g-1. The kinetic studies found that the adsorption followed the pseudo second order.
Classification of Gayo Arabica coffee ethanol extract using FTIR-PCA
Authors: Akbar Z , Idroes R , Yusuf M , Karma T , Ginting B , Rahimah S , Idroes G M , Paristiowati M , Tallei T E 
Published: March 2021

AbstractThe classification of the bean and powder ethanol extracts of Gayo Arabica coffee has been carried out using Fourier Transform Infrared (FTIR) and Principal Component Analysis (PCA). Coffee samples were obtained from 3 locations in Bener Meriah Regency, namely Pegasing, Celala, Jagong, and 3 locations in Aceh Tengah regency, namely Permata and Bandar and Wihpesam. Each extract was analyzed by FTIR at wavenumbers in the range of 4000 - 400 cm-1. The obtained FTIR spectra were identified by PCA. The results showed that only the PCA plot of coffee powder extract showed a grouping pattern based on the sample location, namely Bener Meriah and Aceh Tengah. This showed that the ethanol extract of coffee powder could be used as a reference in the classification of coffee samples using FTIR-PCA.
The effectiveness of rice flow in large-scale rice refineries in Bireuen Regency
Authors: Kasimin S , Desparita N , Zakiah  
Published: March 2021

Abstract
Effective rice supply chains are needed to continuously increase activity in customer service including fulfilment of demand, punctuality in delivery, and rate of return of goods by consumers for certain reasons (return). The purpose of this study was to determine the effectiveness of rice supply chains in large-scale rice refineries in Bireuen Regency. The descriptive qualitative method was used to identify effectiveness of rice flow using the Food Supply Chain Networking (FSCN) framework. The results showed that the characteristics of the rice procurement process at large-scale rice refineries will be more efficient in producing and distributing rice if each party within the supply chain is a member of the procurement process, including farmers, collectors, wholesalers, and retailers. These parties should rely on a formal partnership contract so that the financial flow can be completed quickly to reduce late payments which are detrimental to the large- scale rice refineries in Bireuen Regency.
Genetic diversity of the pathogenic fungus Sarocladium oryzae causing sheath rot on rice using rep-PCR
Authors: Pramunadipta S , Widiastuti A , Wibowo A , Priyatmojo A 
Published: March 2021

Abstract
Rice becomes the main commodity cultivated in Asia. Sheath rot disease becomes one of the challenges in increasing rice production. Sarocladium oryzae is known to be one of the major pathogens in causing sheath rot disease. This pathogen has been reported in several rice production countries, such as Brazil, India, Taiwan, Philippines, Thailand, including Indonesia, and causing yield loss of up to 85%. The study of genetic diversity is important to investigate the rapid shift in genetic structures. A total of six S. oryzae strains showed diverse in molecular using repetitive-PCR (rep-PCR). The isolate SO8 and SO13 isolate SO2 and SO11 and isolate SO3, and SO5 has the relatively same the band patterns in BOX, ERIC, and REP sets of primers. The results of the UPGMA analysis show that S. oryzae in the various primers can be divided into three different group consistency. This result indicates that the rep-PCR method can genetically distinguish S. oryzae. The use of the three main sets, BOX, ERIC, and REP, suggested differentiating the other fungal species.