bluuebunny/crossref_metadata_2025 huggingface dataset:
Systematic Literature Review of Information Security Compliance Behaviour Theories
Authors: Kuppusamy Puspadevi , Samy Ganthan Narayana , Maarop Nurazean , Magalingam Pritheega , Kamaruddin Norshaliza , Shanmugam Bharanidharan , Perumal Sundresan
Published: June 2020

The paper aims to identify behavioural theories that influence information security policies compliance behaviour. A systematic review of empirical studies from eleven online databases (ACM digital library, Emerald Insight, IEEE Xplore digital library, Springer link, Science direct, Scopus, Web of Science, Oxford academic journals, SAGE journals, Taylor & Francis and Wiley online library) are conducted. This review identified 29 studies met its criterion for inclusion. The investigated theories were extracted and analysed. Total of 19 theories have been identified and studied concerning to security policy compliance behaviour. The result indicated that the most established theories in information security compliance behaviour studies are the Theory of Planned Behavior and Protection Motivation theory. Meanwhile, General Deterrence Theory, Neutralization theory, Social Bond Theory / Social Control Theory are used moderately in this research area. Less explored theories are namely Self Determination Theory, Knowledge, Attitude, and Behavior, Social Cognitive Theory, Involvement Theory, Health belief model, Theory of Interpersonal Behavior, Extended Parallel Processing Model, Organisational Control Theory, Psychological Reactance Theory, Norm Activation Theory, Organizational Behaviour Theory, Cognitive Evaluation Theory and Extended Job Demands-Resources. The results from this review may guide the development and evaluation of theories promoting information security compliance behaviours. This will further contribute in the development of an integrated theory of information security compliance behaviour.
Comparative Study of Icon Design for Mobile Application
Authors: Kamarulzaman Nor Azura , Fabil Norasikin , Zaki Zulkifly Mohd , Ismail Roesnita
Published: June 2020

Icons are widely used in mobile applications as visual displays that can assist the acquisition and understanding of information. An icon creates better visual perception with the ability to communicate meaning. Icon design is an approach of designing a graphic icon that can express a specific meaning. Icon design principles and elements are considered as major factors for mobile user interface that would lead to higher icon usability and acceptance of mobile applications. The study is undertaken to conduct a systematic review of published scientific literature on icon design elements for mobile applications. The chosen articles were published between 2014 and 2019, with full text provided and written in the English language. The electronic databases used were Google Scholar, Scopus, ProQuest, and Research Gate. Other sources include secondary data through books and web pages. The search terms used were “mobile icon design”, “mobile icon design principle”, “mobile icon design element” and “apps icon design”. The outcomes of this paper are a comparative study and proposed elements for icon design that will contribute to the field of icon design for mobile application. The proposed elements for icon design consist of recognizable, colour, simple, semantics, familiarity, shape, aesthetic, consistency, uniqueness and concreteness. These proposed elements for icon design can assist designers and researchers in designing icons for mobile application that would improve user experience by enhancing the meaning of icons to users.
An Early Warning System for Reservoir Water Release Operation Using Agent-Based Negative Selection Model
Authors: Doi Siti Mazura Che , Norwawi Norita Md , Ismail Roesnita
Published: June 2020

An early warning system is one of the best solutions for flood management. It enhances the reservoir floodgate operation, flood proofing, flood insurance, and flood plain zoning processes. The timeline and accuracy of the decision to open the reservoir gate are critical. Any delay might damage the dam caused by the excess water, leading to flash flood to the surrounding areas. Consequently, huge losses could be incurred, such as the loss of lives, properties, and financial ruins. At this point, the reservoir floodgate operator would sometimes be hesitant to make an early decision due to inconsistency in getting heavy rainfall data readings, which are under manual control. Therefore, this paper proposes the use of an autonomous agent-based system based on the Artificial Immune Systems (AIS). This system would immediately send readings to the reservoir operator so that gradual release of water from the reservoir can be done to prevent it from bursting. This task requires a certain level of experience and expertise in decision making to ensure no water shortage due to the volume of water to be released. This proposed early warning system is based on the immune negative selection and intelligent agent to monitor the changes in the reservoir water level. This autonomous early detection mechanism can support the domain expert’s job to recognise the threats early on, which is required to improve the monitoring procedure.
Empirical Study on the Influence of Security Control Management and Social Factors in Deterring Information Security Misbehaviour
Authors: Hamid Hanifah Abdul , Dali Nuradli Ridzwan Shah Mohd
Published: June 2020

Complying with the security rules and standard is important to safeguard valuable information in the organisation. Failure to prevent security breaches costs the organisation huge losses and bad reputation. Technical solutions are abundant but nonetheless still unsuccessful to deter information security incidents. The root cause of incompliance is humans as they are the weakest link of security chain. This paper examines the information security control management particularly on information security awareness, training and education, risk analysis and management, information security policies and procedures as well as physical security monitoring, and cognitive factors which give impact towards the employees’ information security compliant behaviour in the organization. Based on convenient sampling, a survey was conducted to employees of public and private sectors in Malaysia who are the Software as a Service (SaaS) cloud users. Data was collected online and was analysed using PLS-SEM. Result shows that information security control management and cognitive factors have high significant impact in deterring information security misbehaviour in the context of cloud users.
The Attendance Marking System based on Eigenface Recognition using OpenCV and Python
Authors: Puthea Khem , Hartanto Rudy , Hidayat Risanuri
Published: June 2020

Attendance of students in a large classroom is hard to be handled by the traditional system, as it is time-consuming and has a high probability of error during the process of inputting data into the computer. This paper proposed automated attendance marking system using face recognition technique. The system deployed Haar cascade to find the positive and negative of the face and eigenface algorithm for face recognition by using python programming and OpenCV library. The proposed method using PCA to resolved the problems such as lightning of the images, noise from the camera, and the direction of the student faces. The attendance of the student was updated to the Excel sheet after student’s face has been recognized.
Study on the Sensitivity of Bare Fiber Bragg Grating for Ultrasonic Frequencies Response Under Various Temperature
Authors: Mukhtar Wan Maisarah , Zailani Nurul Syazwani Mohd
Published: June 2020

This work presents a study on the sensitivity of bare fiber Bragg grating (FBG) to detect ultrasonic frequencies under various temperature. Two infrared (IR) laser with excitation wavelength, λ=1310nm and λ=1550nm were employed. Various types of FBG with operating wavelength of 1546nm, 1550nm and 1554nm were used to identify the optimum design of sensor in detecting range of ultrasonic frequencies between 5kHz until 30kHz under various surrounding temperature from 20°C until 30°C. The principle of FBG vibration detection lies in the fact that spectral shift would occur due to the acoustic-induced variations in the medium. In this study, the ultrasonic signal had been investigated by monitoring the amplitude of optical output power. At 30°C, the bare FBG with operating wavelength of 1554nm using 1310nm light source exhibits the optimum performance in detecting ultrasonic vibration frequency, in which its sensitivity was obtained as ∆P=0.10dBm. We believe that the sensitivity of the proposed sensor can be enhanced by introduce nanomaterials onto the FBG or by altering the physical structure of FBG.
A Preliminary Study of Catalytic Hydrothermal Conversion of Cellulose to Lactic Acid: Effects of Reaction Temperature and Metal Ion Catalyst
Authors: Shahrul Nizan Shikh Zahari S. M. , Zulastry Nurfaheera Aiza , Azman Hazeeq Hazwan
Published: June 2020

Cellulose biopolymer was converted to lactic acid by catalytic hydrothermal method. The conversion was studied under various temperatures (120 to 190 °C) and types of metal ion catalyst (Pb2+ and Al3+), while the reaction period remained fixed at 3 h. Following the reaction, the recovery of untreated cellulose and the mass loss were determined by gravimetric means. Meanwhile, the resultant liquid products were analysed by high performance liquid chromatography (HPLC) for detecting the targeted products: lactic acid, glucose, and fructose. The study reveals useful insights; elevating the reaction temperature was found to increase the mass loss, so did the yield of the targeted products. On the other hand, using a metal ion catalyst, possessing stronger Lewis acidity character, further enhanced lactic acid production.
First-principles calculation of hot carriers in black phosphorus
Authors: Villegas Cesar E. P. , Rocha Alexandre R.
Published: June 2020

Black Phosphorus (BP), a layered semiconductor, has atracted enormous attention due to its singular anisotropic electronic, optical and thickness-dependent direct bandgap properties. As a consequence, BP has been envisioned as a promising material for several technological applications including photonics electronics and optolectronics. Nonetheless, most of the materials that integrate these devices undergo scattering and decay processes that are governed by quantum mechanical effects. From this point of view, the correct understanding and prediction of hot carriers dynamics in prospective materials as BP is crucial for its succesfull integration in future technology. In this work, based on ab initio calculations, we study the carrier relaxation rates in BP. Thus, the electron-electron and electron-phonon scattering contributions are investigated. Our results suggest that for the near-infrared and visible light spectrum [1.5 to 3.5 eV], the carriers in BP follow an ultrafast dynamics with relaxation times of the order of few to tens of femtoseconds while for the far-infrared range the relaxation times is of the order of hundreds of femtoseconds. Our reults are consistent with previous studies of pump-probe measurements on carrier dynamics.
Radial pulsation of a compact object in d dimensions
Authors: Arbañil José D. V. , Malheiro Manuel
Published: June 2020

The influence of the extra dimensions on the equilibrium and radial pulsation of a compact object is investigated. For such purpose, we solve the stellar structure equations and radial pulsation equations, both modified from their original version to include the extra dimensions (d ≥ 4) taking into account that spacetime outside the object is depicted by a Schwarzschild-Tangherlini metric. In addition, we consider that the pressure and the energy density are connected by a linear relation. Some properties of compact objects are analyzed, such as mass and period of the fundamental mode and their dependencies with the spacetime dimensions. We found that the maximum mass marks the begining of the instability, indicating that in a sequence of equilibrium configurations, the regions constitute by stable and unstable compact objects are distinguished by the relations

d
M

/

d

ρ

c
d

>
0

and

d
M

/

d

ρ

c
d

<
0

, respectively.
The projection effect on the measurement of the angular BAO scale
Authors: de Carvalho Edilson , Bernui Armando , Carvalho Joel C.
Published: June 2020

The baryon acoustic oscillations (BAO) imprinted a geometric spherical pattern in the distribution of cosmic structures, like quasars or galaxies. Such pattern can be detected by analyzing the 2-point correlation function of a large sample of cosmic objects, where it appears as a small excess of probability to find pairs of objects separated by a comoving distance: the radius of the sphere rs
. This signature appears in a 3-dimensional (3D) scrutiny, but also in the 2-dimensional (2D) study, with the data located in a thin redshift bin. Differently from the 3D case, in 2D analysis, the angular BAO scale is not directly obtained from the 2-point angular correlation function due to the projection effect, which arises because the size of the redshift bin is not null, and therefore a small shift-correction is needed. Here we estimate the magnitude of such shift-correction for several redshift epochs of the Universe, in the linear and nonlinear approaches.
Closed Strings in the Skyrme Gauge Model
Authors: Rybakov Y. P. , Benavente Ramirez E. , Grandez Lopez José
Published: June 2020

In the framework of the skyrme gauge SU(2) model, closed chiral strings (vortices) are considered, whose closure radius a is considered large in comparison with the characteristic size of the vortex determined by the parameters of the model. In this approximation, it is possible to find the chiral and gauge fields inside the vortex, estimate its radius and energy as functions of the topological charge Q.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Patient health monitoring using soft computing techniques
Authors: Pawan YVR Naga , Prakash Kolla Bhanu , Kumar Vadla Pradeep
Published: June 2020

Due to exponential growth and rapid modernization in urban areas, there is a disparity in the socio-economic urban and rural populace. The wellbeing of these population is peril change in lifestyle affecting the health of an individual or their families. Moreover, the many countries has health issues in Communicable and Non-Communicable Diseases and malnutrition. As per World Health Organization (WHO), the Doctor to Patient Ratio (DPR) is 1:1000. It is an apprehensive task for a Doctor to monitor health concerns of the patients. The time to spent by a doctor to a patient is an average of 7-10 min, where most of the time, the doctorsare busy in taking notes symptoms or feeding the data to the Health Care System. The smart devices and Computational Intelligence (CI)and Soft Computing Techniques (SCT) may help the doctors to monitor the data of their patients suffering with various health care issues and also to diagnose and to provide state-of-the-art treatment. The collected data may be used by theconglomeration of doctors for their superfluous analysis and predictions, local government authorities may use the data to improve sanitation and controlling the outbreak of epidemics and also for other health care predictions. Applying SCT, identification of correlated features, feature ranking or importance and feature selection are performed on UCI Machine learning Datasets and also classification and prediction are performed on the Datasets to examine the accuracy of the predictions for the classification algorithms - rpart, knn and svm.
Bayesian networks applied to climate conditions inside a naturally ventilated greenhouse
Authors: Silva Jesús , Navarro Evaristo , Varela Noel , Pineda Lezama Omar Bonerge
Published: June 2020

The prediction of gradients in a naturally ventilated greenhouse is difficult to achieve, due to the inherently stochastic nature of the airflow. Bayesian networks are numerical uncertainty techniques that can be used to study this problem. A set of experimental data was obtained: air temperature, air humidity, wind speed, and CO2 concentration at one and three meters above the ground in the growing space. The data set was discretized and used to develop a Bayesian Network model that describes the relationships between the studied variables. The model shows the differences that allow to identify the degree of dependence of the variables, as well as to quantify their inference.
Solving the problem of optimizing wind farm design using genetic algorithms
Authors: Viloria Amelec , Lobo Hugo Nuñez , Pineda Lezama Omar Bonerge
Published: June 2020

Renewable energies have become a topic of great interest in recent years because the natural sources used for the generation of these energies are inexhaustible and non-polluting. In fact, environmental sustainability requires a considerable reduction in the use of fossil fuels, which are highly polluting and unsustainable [1]. In addition, serious environmental pollution is threatening human health, and many public concerns have been raised [2]. As a result, many countries have proposed ambitious plans for the production of green energy, including wind power, and consequently, the market for wind energy is expanding rapidly worldwide [3]. In this research, an evolutionary metaheuristic is implemented, specifically genetic algorithms.
Influence of lighting and noise on visual color assessment in textiles
Authors: Silva Jesús , Rondon Carlos , Cabrera Danelys , Pineda Lezama Omar Bonerge
Published: June 2020

Color is a human perception of the light reflected by an object. It is an appreciation that depends on the way the human’s eyes detect the reflected light and the way the brain processes it. However, for industry, it is an attribute of product appearance and its observation allows the detection of certain anomalies and defects [1]. Therefore, color is a characteristic that allows to judge an object by creating conditions for its acceptance or rejection [2]. In this research, a laboratory experiment was carried out to analyze different factors involved in visual color evaluations in textiles. A complete factorial experiment design was carried out in which the analyzed factors were lighting, noise, color and participants.
Thermographic imaging for use in artificial intelligence and vision algorithms
Authors: Silva Jesús , Echeverría Ana María , Varela Noel , Pineda Lezama Omar Bonerge
Published: June 2020

The constant technological innovation in devices for the acquisition of digital images such as: energy-efficient and high-pixel sensors, memories with greater storage capacity and processors capable of sampling digital signals more quickly, have made it possible to digitize with greater reliability real life scenes in an instant of time, making it possible to analyze and interpret different physical phenomena [1][2][3] such as fractures in materials, evasion of obstacles, weather conditions, injury detection, among others, giving rise to a new line of research called Artificial Vision (AV) focused on generating algorithms to improve image quality, segment characteristics of interest and eventually recognize patterns, in order to make more efficient image processing for the solution of problems in robotics, automation, security, medicine, veterinary, and others. The research aims to develop a database of thermographic images of pregnant and non-pregnant sheep, providing a tool for specialists in the area of computer intelligence and artificial vision.
Self-charging Peripherals with inbuilt Power Harvesting System
Authors: Azman Mohamed , Babu Sahil , Reddy Thalla Harish
Published: June 2020

Most of the computer peripherals around us require an active power source; they are either wired while some are wireless and are powered by DC batteries. The majority of these devices consume significantly less power when compared to the main device’s power consumption patterns. One may observe that we perform physical activities on the input devices in specific, and since these devices anyway just sip on power, we might as well consider harvesting some energy from the actions performed on the device to power the device itself. In this paper, we explore and discuss the mechanisms that could be potentially used in order to design and produce computer (input) peripherals that would practically last forever without the need to recharge, or swap batteries. We have designed and made prototypes of harvesting mechanisms based on electromagnetic induction, as well as the piezoelectric effect. The work presents a potentially exhaustive system for the next generation of self-powered devices over which any physical human input is expected, and not necessarily confined to the application discussed here.
A survey of digital down converter architecture for next generation wireless applications
Authors: Abinaya A , Maheswari M
Published: June 2020

This article presents a brief survey of Digital down Converter (DDC) architecture and its extensive applications. The distinctive feature of the DDC architecture is its frequency translation from real data signal at an intermediate frequency to a complex baseband signal at zero frequency. The architecture of DDC comprises of Numerically Controlled Oscillator (NCO) and decimation filters. The components of ultra efficient DDC architecture have been implemented in Field Programmable Gate Array (FPGA) device. This down converter provides high malleability, customizability and bearable cost. Due to its amenities, digital down converter was utterly studied and applied in many wireless communication technologies.
Design, simulation, and analysis of a 6-axis robot using robot visualization software
Authors: Talli Amit , V Meti Vinod Kumar
Published: June 2020

In this advanced technological world, robots play an important role in achieving the tasks of a human. Robots have become an essential aspect of the industry, need well-trained engineers to optimize the robot manipulator. To obtain the optimum elements of the work to be carried, a systematic approach required to design, simulate, and analysis of customized robots. This paper presents the design, simulation, and analysis of a 6-axis robot for n-number of applications using solid works simulation and RoboAnalyzer visualization software. The SolidWorks software is used to design the robot and analyzed using the SolidWorks Simulation Xpress and motion study. The robot visualization software: RoboAnalyzer used to analyze the robot kinematics and dynamics. This 3-dimensional software’s help to improve the skills and knowledge of industrial robots. Robot design, simulation, and analysis require the use of 3-dimensional software in the event of an invention needed to develop the high-quality design and improved speed where the industry needs.
Automatic forecasting of student’s province towards Information and communication technology awareness
Authors: Verma Chaman , Kumar Deepak , Illés Zoltán , Stoffová Veronika
Published: June 2020

An experimental study is conducted to forecast the residence state of the students based on their response provided in the ICT survey held during the academic year 2015-2016 at two universities of India. The dataset consists of 560 instances and 59 features. We considered the state as the response variable and 35 features as predictors after self-reduction. The dataset is trained and tested with k-fold cross validation using three popular supervised machine learning classifiers named Artificial Neural Network (ANN), Sequential Minimal Optimization (SMO) and random forest (RF) in the Weka 3.8.1 workbench. The outcomes of the study reveal that RF classifier outperformed with highest accuracy (83.39%) the ANN and SMO at 6-Fold of Cross-Validation (CV). Finally, the authors presented state forecast models which accurately forecasting the state of the student based on their answers during the survey with stabilizing the value of k=6 of CV. The maximum accurate forecasting count for Punjab student is found 239 out of 282 and for Haryana student is found 228 out of 278 with k=6. The findings of study prove a significant difference between the RF and the ANN, the SMO in accuracy and there is no significant difference between accuracy gained by SMO and ANN for state forecasting against student’s response during the survey.
A novel rescuebot for borehole accidents
Authors: Shakthi Murugan K H , Vijithra A Jasmine , Padmavathi B , Jacintha V , Sumathi K
Published: June 2020

Major reports are saying that many children were dead due to the unclosed bore wells. The rescue process cannot be handled smoothly because the environment inside the bore well cannot be predicted by easy means. A less expensive robot can be developed with simple mechanisms for controlling will simplify the rescue process. A movable robot capable of adjusting to the bore well dimensions is constructed. The robot has two arms that can be adjusted to rescue the child with the support of camera also aiding in the survival of the baby. Some additional features are also introduced to enhance and ease the comfort of the rescue operation. A compressor is used to fill an air bag that is implemented in this robot to make the rescue operation easy and be comfortable to lift the victim safely. The gas and temperature inside the bore well can be measured using gas sensor and temperature sensor respectively.