bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dependence of the mechanical properties of Cr-DLC films on the acetylene flow and substrate bias
Authors: Calderon N Z , Ampuero J L , La Rosa-Toro A , Gacitúa W , Pujada B R 
Published: June 2020

Abstract
Internal stress and hardness of chromium-diamond like carbon (Cr-DLC) films deposited by reactive sputter deposition from a chromium target in argon/acetylene atmosphere have been studied as a function of the acetylene gas flow and substrate bias. The Cr-DLC films were deposited using a dc current of 150 mA and substrate temperature of as-deposited. The films were characterized by Raman spectroscopy, Auger electron spectroscopy (AES), scanning electron microscopy (SEM), wafer curvature for stress determination and nanoindentation. The internal stress changes from tensile to compressive for acetylene flow higher than 0.3 sccm. Also, the internal stress and hardness increase with the substrate bias. From Raman spectroscopy the ratio ID/IG changes with the acetylene flow and the substrate bias. From AES the chromium content decreases with both, the acetylene gas flow and substrate bias. Based on the experimental results, it is concluded that the variation in compressive stress and hardness are associated to changes in the chemistry and microstructure of the Cr-DLC coatings.
Influence of the substrate bias on the stress in Ti-DLC films deposited by dc magnetron sputtering
Authors: Ponce S , Calderon N Z , Ampuero J L , La Rosa-Toro A , Talledo A , Gacitúa W , Pujada B R 
Published: June 2020

Abstract
Internal stress of titanium-diamond like carbon (Ti-DLC) films deposited by reactive sputter deposition from a titanium target in argon/acetylene atmosphere have been studied as a function of the substrate bias voltage from 0 to -80 V. The Ti-DLC films were deposited using a DC current of 150 mA and substrate temperature of as-deposited. The films were characterized by Raman spectroscopy, Auger electron spectroscopy (AES), scanning electron microscopy (SEM) and wafer curvature for stress determination. It has been observed that the compressive stress increases with increasing the substrate bias. From AES the titanium content increases with the substrate bias whereas the carbon content decreases. Raman spectroscopy indicates that line spectra and the ratios ID/IG changes for bias voltages higher than -50 V. Based on the results, it is concluded that the variation in compressive stress is associated to changes in the chemistry and internal structure of the films.
Study of the optical and photovoltaic properties in nanoparticles of BiFeO3
Authors: Ayala Z B , Peñalva J , Hernández J M , Loro H , Eyzaguirre Carmen 
Published: June 2020

Abstract
Bismuth ferrite ceramic powders (BiFeO3) were synthesized by a combustion reaction in solution, using the mixture of urea and glycine as fuels, whose objectives were to improve their optical, electrical and photovoltaic response properties. X-ray diffraction analysis indicated the formation of the single phase BiFeO3. Transmission electron microscopy (TEM) shows images of uniform nanoparticles of 70 nm on average. Through diffuse reflectance we obtain a band gap with a direct electronic transition of 2.14 eV, this value presents an improvement compared to that reported by other authors in BiFeO3 ceramic powders. The value of the resistivity obtained by the 4-pointed method was ρ = 0.486 × 106 Ω.cm, checking that our material is a semiconductor. Finally, by building a prototype of Ag/BiFeO3/Ag, with visible light (λ = 405 nm), a photovoltaic response of 0.2 nA at room temperature was achieved.
Some results on natural numbers represented by quadratic polynomials in two variables
Authors: Cerna Maguiña B. M. , Blas H. , López Solís V. H. 
Published: June 2020

Abstract
We consider a set of equations of the form Pj
(x, y) = (10x + mj
)(10y + nj
), x ≥ 0, y ≥ 0, j = 1,2,3, such that {m
1 = 7, n
1 = 3}, {m
2 = n
2 = 9} and {m
3 = n
3 = 1}, respectively. It is shown that if

(
a
(

p
j

)
,
b
(

p
j

)
)
∈
ℕ
×
ℕ

is a solution of the j’th equation one has the inequality

p
j

100

≤
A
(

p
j

)
B
(

p
j

)
≤

121

10

4

p
j

, where

A
(

p
j

)
≡
a
(

p
j

)
+
1
,
B
(

p
j

)
≡
b
(

p
j

)
+
1

and pj
is a natural number ending in 1, such that

{
A
(

p
1

)
≥
4
,
B
(

p
1

)
≥
8
}
,
{
A
(

p
2

)
≥
2
,
B
(

p
2

)
≥
2
}

, and

{
A
(

p
3

)
≥
10
,
B
(

p
3

)
≥
10
}

hold, respectively. Moreover, assuming the previous result we show that

1
≤

(

A
(

p
j

+
10
)
B
(

p
j

+
10
)

A
(

p
j

)
B
(

p
j

)

)

1
/
100

≤

e

0
,
000201

×

(

1
+

10

p
j

)

(
0
,
101
)

2

, with

{
A
(

p
1

)
≥
31
,
B
(

p
1

)
≥
71
}
,
{
A
(

p
2

)
≥
11
,
B
(

p
2

)
≥
11
}

, and

{
A
(

p
3

)
≥
91
,
B
(

p
3

)
≥
91
}

, respectively. Finally, we present upper and lower bounds for the relevant positive integer solution of the equation defined by pj = (10A + mj
)(10B + nj
), for each case j = 1, 2, 3, respectively.
Deformations of KdV and soliton collisions
Authors: Blas H , Ochoa R , Suarez D 
Published: June 2020

Abstract
Some deformations of the integrable Korteweg-de Vries model (KdV) are associated to several towers of infinite number of asymptotically conserved charges. It has been shown that the standard KdV also exhibits infinite number of anomalous charges. In [9] there have been verified numerically the degrees of modifications of the charges around the soliton interaction regions, by computing numerically some representative anomalies, related to lowest order quasi-conservation laws, depending on the deformation parameters

{

∈
1

,

∈
2

}

, such that the standard KdV is recovered for

(

∈
1

=

∈
2

=
0
)

. Here we present the numerical simulations for some values of the pair

{

∈
1

,

∈
2

}

around

∈
1

≈
0
,

∈
2

≈
0

, and show that the collision of two and three solitons are elastic. The KdV-type equations are quite ubiquitous and find many applications in several areas of non-linear science.
Asymptotic interaction between solitons in the Nielsen - Olesen model
Authors: Vasquez M R , Ochoa R 
Published: June 2020

Abstract
The objective of this paper was to find the interaction between two vortex solitons in the Nielsen – Olensen model, these solitons are the asymptotic solutions in said model, in order to calculate this interaction it was assumed that these solitons are quasi-static and that they are very far between if and with the help of the momentum energy tensor, this interaction could be found in the z direction in a plane that symmetrically divides these two solitons, which presents two cases since there are two possible asymptotic solutions for the field function according to the coefficient β, the possible cases are for β < 4 and β > 4, in each of the cases interaction is found that depends on exponential functions, the distance between these solitons and the parameters found at the time of calculating said asymptotic solution that are constants {1, −1}. Furthermore, this force is similar to the force experienced by two turns with current that are very far from each other.
Matrix Coding Technique on Sunflower Graphs with Edge Product Cordial Labeling
Authors: Prasad G , Uma Maheswari G 
Published: June 2020

Abstract
In this paper we develop a technique of coding a secret messages using Sun Flower graphs SFn
by subdividing edges and applying edge product cordial labeling. The induced vertex labeling function defined by the product of labels of incident edges to each vertex is such that the number of edges with label 0 and 1 differ by atmost 1. Here, we discuss edge product cordial labeling for sunflower graphs subdivided edges and developed a coding technique of transforming plain text (Text message) in to Cipher Text (Matrix code) and established algorithm. By recent development in coding theory involving programming concepts in any computer languages, this article will revisit without programming method, the matrix coding technique is developed.
Blockchain technology in food industry ecosystem
Authors: Chopra Ashok 
Published: June 2020

Abstract
Food industry is unique from the point of view of Efficient Consumer Response (ECR) which is a supply chain management initiative specific to the food industry and reflects organizations’ efforts to achieve quick response to reaching to market and ultimately consumer using Electronic Data Interchange, RFID (Radio Frequency Identification and bar codes. This paper would focus on looking at pros and cons of evaluating traditional traceability (is an important link in protecting public health since it allows health agencies to more quickly and accurately identify the source of contaminated food, fruit or vegetables believed to be the cause of an outbreak of foodborne illness, remove them from the marketplace, and communicate to the supply chain) matrix versus newly introduced disruptive technology called blockchain. This report outlines various components of traceability and its relation to other parts and methodologies in ensuring food product authenticity the paper further outlines detailing of blockchain technology its various types, implementation with examples and application in food industry. The concluding part of paper compares traditional vs. blockchain methods in regard to cost benefit analysis and implementation perspective of blockchain. The paper through reasoning and arguments justifies that how blockchain bases systems of food traceability are more suitable from speed, confidentiality and ease of implementation perspective as compared to traditional electronic traceability and current systems. From limitation perspective this paper highlights how lack of interoperability is currently the biggest one obstacle preventing system-wide, farm-to-fork food product traceability.
Review of research issues and challenges of maturity models concerning industry 4.0
Authors: Vijaya Kumar N , Karadgi Sachin , Kotturshettar B B 
Published: June 2020

Abstract
Over the years, technological developments and innovation in the area of manufacturing have evolved which is known as industry 4.0(I4.0), and has increased the consideration of all the researchers, enterprises and countries. Manufacturing enterprises are facing manifold challenges arising due to their internal and external situations. Similarly, choices have to be made among various available disruptive technologies, like IoT (Internet of Things), CPS (Cyber-Physical Systems) and cloud-based production. Thus, the need of the hour for manufacturing enterprise is to understand Industry 4.0, subsequently, it is necessary to assist the manufacturing enterprises to assess their Industry 4.0 preparedness. German’s National Academy of Science and Engineering (acatech) has developed Industry 4.0 Maturity Assessment for establishing manufacturing enterprises Industry 4.0 maturity and identifying areas where actions are required to realize higher maturity stage in implementation of Industry 4.0. In this article, a review of literature is made to comprehend the concept of Industry 4.0, and with focus on maturity models. Furthermore, the articles discuss the challenges, research gaps between the current status of manufacturing and I4.0. The findings of this review article may be the basis for understanding the challenges and designing a maturity model considering various dimensions of I4.0.
Inverting the organic solar cell
Authors: Vaishnav M S , Sarang P , Harikrishnan V R , Gopinadh Abhiraj , Jayaraj S , Predeep P 
Published: June 2020

Abstract
The immediate requirement to reduce Green House Gas emissions and the diminishing petroleum reserves are forcing the world to switch into greener sources of energy. Organic Solar Cells are one of the most impressive solutions for the clean energy demands. They have interesting advantages which can be translate into potential applications in the future. It is due to this reason, that efforts to improve both the efficiency and stability of OSCs are garnering worldwide attention. But the conventional architecture has crippling disadvantages which impacts the performance of OSCs. This has led to a growing interest in OSCs with inverted architecture-a structure with the transparent electrode acting as cathode and high work function metal as anode. This review will go over the existing mechanisms and researches taking place in the fabrication of Inverted OSCs.
Effect of residual stress on resonant frequency in Nitinol based thin film resonator
Authors: Bale Ajay Sudhir , Reddy Suhaas V , Tiwari Subhashish 
Published: June 2020

Abstract
This current work focuses on the study of residual stress introduced in thin surface micromachined films due to the thermal stress. A model is presented here to study the change in thermal residual stress as the temperature changes and in turn how this change affects the resonant frequency of the resonator. The model uses two design; a resonator with straight and folded cantilevers. This work also involves in analysing the resonator performance as the material properties are changed. The analyses is done on Nitinol which is a Shape Memory Alloy (SMA). The simulation is carried out on COMSOL Multiphysics.
Transmission of data, audio and text signal using Li-fi technology
Authors: Madhuri G , Anjali K , Sakthi Prabha R 
Published: June 2020

Abstract
The light fidelity technology refers to visible light communication that uses light as a medium to deliver high speed data which is much greater than that of WiFi. LiFi data is transmitted in several bit streams and the receiver side consisting an IR detector decodes the message. The transmission happens in the form of binary data where 0 means LED in ‘OFF’ state and 1 means that the LED is in the ‘ON’ state. Transmitter and receiver sections contain Arduino which is programmed using Arduino IDE. High power intensity led’s are used in the LiFi transmitter. In receiver section photodiode module is used to detect the light signal generated by the LiFi transmitter. In this we are transmitting the 2 different data using light they are Audio signal and Text signal. Hence the study of various topologies to understand the characteristics a LiFi system.
Design and optimization of operating parameters for areca nut de-husker
Authors: Madhusudhana H K , Satish G Jangali , Vijayakumar N , Sachin Patil 
Published: June 2020

Abstract
Areca nut is one of the major commercial crops grown in South India. The raw areca nut has to be peal (de-husked) to get its nut. The manual peeling practice is laborious process and is not safe for labor. Manual de-husking is time-consuming, and there is a shortage of labor. The exisiting machines developed are not so capable to completely remove the outer layer of the areca nut due to the difference in the size of the area nut, and the areca nuts damaged due to the non-availability of the optimal process parameters, and they are expensive. Damaged areca nuts have lesser value in the market. This paper deals with the design and development of an areca nut de-husking machine which can de-husk areca nuts of different sizes without damaging it. The flow of paper starts with the definition of the problem, relevant need analysis, field survey, and literature survey based on these data areca nut de-husking machine designed. Finally, the factor effect study using the Design of Experiment (DOE) method is presented in this paper.
Comparison of multiple regression and radial basis artificial neural network models in turning of mild steel components
Authors: Gadagi A H , Adake C V , Sangolli S I , Halligerimath Shashidhar 
Published: June 2020

Abstract
In the present work, an attempt is made to develop the numerical models to predict the Material removal Rate (MRR) in a turning process of mild steel specimens using the computational methods namely Multiple regression Analysis MRA and Radial Basis Artificial Neural Network. The machining parameters dealt were Spindle speed, Feed rate and depth of cut. The experiments were conducted in accordance with the Taguchi’s L16 orthogonal array on a conventional lathe using single point HSS Tool. The results as predicted by the computational methods were compared with the experimental results and it was found that a Radial Basis ANN model performed better in comparison with MRA Nomenclature F Feed rate (mm/rev) DOC Depth of cut (mm) N Spindle Speed (rpm) MRR Material Removal Rate (m3/min)
Performance traits of a newly proposed modularity function for spatial networks: Better assessment of clustering for unsupervised learning
Authors: Kishore Raj , Swayamjyoti S , Nussinov Zohar , Sahu Kisor K 
Published: June 2020

Abstract
The “best” partition of a given network helps in revealing its naturally identifiable structures. The most modular structure is often considered as the best partition. Modularity function, is an objective measure of the quality of partitioning in a given network with that of a random graph (“Null model”), where edge between any two nodes is equally probable, are inappropriate to use for spatially embedded networks. Earlier we have proposed a new modularity function, which does not compare the network with a null model. We have analyzed a 2D and 3D granular networks which can be considered as a spatially embedded network. In all considered systems new method identifies the better partition. New function properly detects the better modular partition in 2D as well as in 3D granular assemblies as compared to the most commonly used modularity function, known as Newman modularity function, and thus is more suitable for unsupervised machine learning.
Women Technology Parks: A novel solution for women entrepreneurship and empowerment through location specific technologies and waste material utilization
Authors: Mahesh V , Rao P V Ramana , Kiran K , Condoor Sridhar 
Published: June 2020

Abstract
Social and economic development of women will lead to the progress of any society. Particularly, empowering empower women in rural areas is both challenging and essential. Women entrepreneur faces many barriers to success such as a lack of financial independence and education, family, work-life balance, male-dominated society, and social-culture barrier. The Women Technology Park (WTP) is an initiative that leverages the use of appropriate technology to catalyze economic growth and development of rural women by raising their productivity, generating sustainable income, and improving their livelihoods. This paper uses a WTP model to illustrate the process of developing, training and enabling of rural technologies related to metal art, banana fiber extraction, weaving, construction and habitat services, and food processing technologies. It presents how a WTP acts as a resource center and a catalyst to translate opportunities into reality to empower rural women.
3-D Comparative Analysis of 3-phase Transformer core Using CRGO Silicon Steel, Amorphous and FINEMET for Low Losses using ANSYS
Authors: Kaur Sarpreet , Kaur Damanjeet 
Published: June 2020

Abstract
A transformer correspond electric power among various circuits without change in frequency. It comprises essentially two types of windings i.e. primary and secondary. Design and selection of material to construct a transformer is a very crucial process. To select a suitable material for transformer design there are various limitations in terms of usage of the materials like impendence, effectiveness, flux solidity, current & voltage losses needs to be taken care which is totally influenced on the construction process and material selection. This paper deals with the 3-D analysis and usages of the effective materials to design transformer so that losses in the real time can be reduced. The materials studied in this paper are CRGO silicon steel, Amorphous, Finemet and their comparative analysis is done. The comparison is made between the proposed work and configured design and losses of the three phase transformer installed at PGIMER Chandigarh (Post Graduate Institute of the medical education and research).
Impact of the diaphragm structure on the linearity and temperature sensitivity of low-pressure piezo-resistive MEMS pressure sensors
Authors: Nithin  , Rao Rathnamala , Bhat K N 
Published: June 2020

Abstract
This paper presents result of a detailed simulation study aimed at optimizing the different diaphragm structures of silicon micro machined MEMS pressure sensor for operation and measurement of the low-pressure ranges(600mbar). We first show that the conventional arrangement of the Wheatstone bridge resistors realized using the “Flat diaphragms” give rise to large temperature dependence of the offset voltage which affects the sensitivity and linearity of the pressure sensors during operation in the temperatures ranging from-40°Cto+80°C, thus making the temperature compensation of the sensor output voltage rather tedious and impossible in certain instances. We further demonstrate that, this issue can be circumvented and excellent linearity with minimum dependence of the offset-voltage, sensitivity and linearity can be achieved by using “sculptured diaphragms” with optimized diaphragm dimensions. Towards this goal, in this paper, we present a set of simulation studies involving optimization of the pressure sensor diaphragm dimensions and structures with single and multiple boss structures to achieve better sensitivity, linearity, and at the same time minimize temperature drift, and to achieve better repeatability.
E-healthcare monitoring using internet of things
Authors: Swapna B , Gayathri S , Kamalahasan M , Hemasundari H , SiraasGanth M , Ranjith S 
Published: June 2020

Abstract
Internet of Things has given a lot simpler answer for remote continuous wellbeing checking of patients from the clinic just as home. Sensors secure the information of different parameters in regards to patients’ wellbeing, and the Internet of Things stores that information and shows through the site, which gives access to remote observing. Utilization of Sensor decreases the human mistake, and the span of the framework lessens the involved space of the room. The extraordinary piece of this proposed arrangement is the alert age to give the recommended prescription to the patient in time. The other gainful zone of the framework is the plan of sending the warning through email and SMS alert if any of the wellbeing parameters crosses the limit esteem. Notice plan will keep the separate expert aware of the circumstance. Another huge region of the proposed arrangement is to make the ideal surroundings according to the necessity of patient’s wellbeing condition. In this paper, we have talked about the checking of pulse, circulatory strain, breath rate, body temperature, body development and saline dimensions.