bluuebunny/crossref_metadata_2025 huggingface dataset:
Bonding few-layered graphene via collision with high-speed fullerenes
Authors: Shi Jiao , Hu Chunwei , Sun Sreykeo , Song Bo , Qin Qing-Hua
Published: April 2021

Graphene, as a typical two-dimensional material, is popular in the design of nanodevices. The interlayer relative sliding of graphene sheets can significantly affect the effective bending stiffness of the few-layered graphene. For restricting the relative sliding, we adopted the atomic shot peening method to bond the graphene sheets together by ballistic C60 fullerenes from its two surfaces. Collision effects are evaluated via molecular dynamics simulations. Results obtained indicate that the fullerenes’ incident velocity has an interval, in which the graphene sheet can be bonded after collision while no atoms on the fullerenes escaping from the graphene ribbon after collision. The limits of the interval increase with the layer number. Within a few picoseconds of collision, a stable carbon network is produced at an impacted area. The graphene sheets are bonded via the network and cannot slide relatively anymore. Conclusions are drawn to show the way of potential applications of the method in manufacturing a new graphene-based two-dimensional material that has a high out-of-plane bending stiffness.
Flexible fiber-shaped supercapacitors based on graphene/polyaniline hybrid fibers with high energy density and capacitance
Authors: Wu Yuntao , Meng Zijie , Yang Junhe , Xue Yuhua
Published: April 2021

Fiber-shaped supercapacitors (FSCs) are promising energy storage devices for portable and wearable electronics due to their miniaturized size, flexibility, and knittability. Despite the significant progress in this area, it is still a challenge to develop large capacitance and high energy density FSCs for practical applications. In this work, a hybrid fiber composed of reduced graphene oxide and polyaniline nanoparticles (r-PANI-GOF) is synthesized via in situ synthesis of polyaniline nanoparticles both on the surface and inside of graphene fibers. The areal specific capacitance of a single r-PANI-GOF electrode is as large as 1755 mF cm−2 in the three-electrode system. The r-PANI-GOF hybrid fibers were also used as electrodes for making an all-solid-state FSCs. This whole device has a specific areal capacitance of up to 481 mF cm−2 and a high areal energy density of 42.76 μWh cm−2. The hybrid fiber electrodes with a high capacitance, and excellent flexibility may become new candidates for the development of fiber-shaped high-performance energy storage devices.
Brachytherapy treatment verification using gamma radiation from the internal treatment source combined with an imaging panel—a phantom study
Authors: Fonseca G P , van Wagenberg T , Voncken R , Podesta M , van Beveren C , van Limbergen E , Lutgens L , Vanneste B , Berbee M , Reniers B , Verhaegen F
Published: April 2021

Brachytherapy has an excellent clinical outcome for different treatment sites. However, in vivo treatment verification is not performed in the majority of hospitals due to the lack of proper monitoring systems. This study investigates the use of an imaging panel (IP) and the photons emitted by a high dose rate (HDR) 192Ir source to track source motion and obtain some information related to the patient anatomy. The feasibility of this approach was studied by monitoring the treatment delivery to a 3D printed phantom that mimicks a prostate patient. A 3D printed phantom was designed with a template for needle insertion, a cavity (‘rectum’) to insert an ultrasound probe, and lateral cavities used to place tissue-equivalent materials. CT images were acquired to create HDR 192Ir treatment plans with a range of dwell times, interdwell distances and needle arrangements. Treatment delivery was verified with an IP placed at several positions around the phantom using radiopaque markers on the outer surface to register acquired IP images with the planning CT. All dwell positions were identified using acquisition times ≤0.11 s (frame rates ≥ 9 fps). Interdwell distances and dwell positions (in relation to the IP) were verified with accuracy better than 0.1 cm. Radiopaque markers were visible in the acquired images and could be used for registration with CT images. Uncertainties for image registration (IP and planning CT) between 0.1 and 0.4 cm. The IP is sensitive to tissue-mimicking insert composition and showed phantom boundaries that could be used to improve treatment verification. The IP provided sufficient time and spatial resolution for real-time source tracking and allows for the registration of the planning CT and IP images. The results obtained in this study indicate that several treatment errors could be detected including swapped catheters, incorrect dwell times and dwell positions.
RF shielding materials for highly-integrated PET/MRI systems
Authors: Yin Laiyin , Schrank Franziska , Gross-Weege Nicolas , Schug David , Schulz Volkmar
Published: April 2021

Integration of magnetic resonance imaging (MRI) and positron emission tomography (PET) into a simultaneous device calls for adaptations of the radio frequency (RF) shielding concept. Conventional PET module housings fully encase the entire PET detector to reduce mutual interference. Excluding passive components, i.e. scintillators, from the housings, offers integration advantages, e.g. by reducing the overall housing volume or utilizing bigger scintillators. However, locating the scintillator outside of the RF shielding requires an optically transparent RF shielding interface between the scintillators and the photodetector to close the aperture. Therefore, a careful evaluation and selection of RF materials is essential to ensure an excellent PET/MRI system performance. To this end, we examined 10 materials (coated glasses, coated foils, meshes). The shielding effectiveness (SE) was evaluated at 100 and 300 MHz. PET performance was tested for single event registration and coincident events by integrating the material into the PET detector stack between the digital silicon photomultiplier photodetector array and one-to-one coupled scintillator. We determined photon attenuation (PA), energy resolution (dE/E), and coincidence resolving time (CRT) and compared to reference measurements for each material group. MRI compatibility was assessed by analyzing the material influence on the main magnetic field (B0) homogeneity. The coated glasses and foils exhibited SEs of up to 25 dB at 300 MHz. Both had a PA < 23% with dE/E and CRT comparable to the reference measurements, and no measurable impact on the B0 field was registered. The meshes exhibited higher SEs up to 56 dB, but also a PA > 58% with a higher impact on dE/E and CRT. Only one mesh affected B0 homogeneity. Overall, we recommend the coated foil HS 9400 for integration concepts as it exhibited a good performance with SE = 25 dB, PA = 22%, resulting in a PET performance of dE/E = 12% and CRT = 274 ps.
Living magnetorheological composites: from the synthesis to the in vitro characterization
Authors: Nardecchia Stefania , Chocarro-Wrona Carlos , Sánchez-Moreno Paola , Zambrano-Marín José Rafael , Marchal Juan Antonio , de Vicente Juan
Published: April 2021

A new type of magnetorheological (MR) material is reported that brings together conventional MR composites (MRCs) and biomaterials. Living MRCs based on carbonyl iron microparticles (CIPs) as magnetoactive filler, sodium alginate as elastomer and cells as biological components were prepared and characterized. The effect of CIPs concentration in isotropic alginate composites was examined by using thermogravimetric analysis, infrared spectroscopy, swelling and degradation tests in culture medium (Dulbecco’s Modified Eagle’s Medium, DMEM). To self-assemble the CIPs within the polymer matrix, the cross-linking process took place under an external magnetic field (24 mT). The cytotoxicity experiments were performed with human mesenchymal stem cells and human fibroblasts loaded inside of the hydrogel. It was demonstrated that the living MRCs supported cell survival and proliferation. The rheological response of the MRCs was evaluated in dynamic oscillatory tests in the absence and presence of magnetic fields. The viscoelastic response of the living MRCs improved when a magnetic field was applied. This work demonstrates the possibility to use CIPs in the fabrication of living composites with MR response. Results could be of interest in smart biomedical applications.
Trapping a magnetic field of 14.8 T using stacked coated conductors of 12 mm width
Authors: Suyama Masahiro , Pyon Sunseng , Iijima Yasuhiro , Awaji Satoshi , Tamegai Tsuyoshi
Published: April 2021

We fabricated a compact (13

×

12

×

12.5 mm3) trapped-field magnet by stacking 200 pieces of EuBa2Cu3O7 coated conductors (CCs) with BaHfO3 nanorods as artificial pinning centers. It was magnetized by field-cooling method using a 18 T superconducting magnet, and the maximum field of 14.8 T was trapped at 10 K at a field-ramp rate of 0.1 T min−1. At higher temperatures, although the trapped field was decreased, we could trap the field with much faster ramp rate. In order to understand these results, we also performed calculations of the trapped field based on

J

c

−
H

characteristics of the CC. The calculated trapped field value was larger than the experimental value at 10 K. This discrepancy can be understood by considering the reduction of the effective size of the stacked CCs due to the existence of extended regions of irregular flux penetration called ‘flux jets’.
Cascaded generation of isolated sub-10 attosecond half-cycle pulses
Authors: Shou Yinren , Hu Ronghao , Gong Zheng , Yu Jinqing , Chen Jia erh , Mourou Gerard , Yan Xueqing , Ma Wenjun
Published: April 2021

Sub-10 attosecond pulses (APs) with half-cycle electric fields provide exceptional options to detect and manipulate electrons in the atomic timescale. However, the availability of such pulses is still challenging. Here, we propose a method to generate isolated sub-10 attosecond half-cycle pulses based on a cascade process naturally happening in plasma. A backward AP is first generated by shooting a moderate overdense plasma with a one-cycle femtosecond pulse. After that, an electron sheet with the thickness of several nanometers is formed and accelerated forward by the electrostatic field. Then this electron sheet goes through unipolar perturbations driven by the tail of the first-stage AP instead of the initial laser pulse. As a result, a half-cycle sub-10 AP is cascadedly produced in the transmission direction. Two-dimensional particle-in-cell simulations indicate that an isolated half-cycle pulse with the duration of 7.3 attoseconds can be generated from the cascaded scheme. Apart from a one-cycle driving pulse, such a scheme also can be realized with a commercial 100 TW 25 fs driving laser by shaping the pulse with a relativistic plasma lens in advance.
Twisted light-induced spin–spin interaction in a chiral helimagnet
Authors: Goto Yutaro , Ishihara Hajime , Yokoshi Nobuhiko
Published: April 2021

We theoretically investigate how the orbital angular momentum of light can affect a chiral magnetic order. Here, we consider a metallic chiral helimagnet, which is under stationary radiation of a resonant optical vortex beam. We propose a novel interaction between local spins considering microscopic interactions between an optical vortex and electrons. This vortex-induced interaction modulates the chiral magnetic order in an entirely different way than an external magnetic field does. Our spin modulation technique may pave a route to create a unique topological or chiral structure for future opto-spintronics devices.
Bi-state switch based on two-dimensional guided-mode resonance
Authors: Taheri Atefe , Shokooh-Saremi Mehrdad
Published: April 2021

In this paper, a bi-state (on/off) switch is proposed utilizing a two-dimensional, all-dielectric periodic guided-mode resonance (GMR) structure. Employing a conceptual MEMS mechanism, switching is performed by modifying the Fourier series coefficients of the refractive index distribution. This switch operates in the visible region. In the ‘on’ state, the switch exhibits a narrow linewidth reflection resonance at λ = 541 nm; this resonance disappears in the ‘off’ state. In fact, in the ‘off’ state, the condition for supporting a GMR is lost. This element exhibits a reversible switching action and can be a potential candidate for narrowband optical switches, light modulators, and laser systems.
Factorization of radiative leptonic D-meson decay with sub-leading power corrections *
Authors: Lu Long-Sheng
Published: April 2021

In this work, we calculate the sub-leading power contributions to radiative leptonic

decay. For the first time, we provide the analytic expressions of next-to-leading power contributions and the error estimation associated with the power expansion of

. In our calculation, we adopt two different models of the D-meson distribution amplitudes

and

. Within the framework of QCD factorization as well as the dispersion relation, we evaluate the soft contribution up to the next-to-leading logarithmic accuracy and also consider the higher-twist contribution from the two-particle and three-particle distribution amplitudes. Finally, we find that all the sub-leading power contributions are significant at

MeV, and the next-to-leading power contributions lead to 143% in

and 120% in

corrections to leading power vector form factors with

GeV. As the corrections from the higher-twist and local sub-leading power contributions are enhanced with increasing inverse moment, it is difficult to extract an appropriate inverse moment of the D-meson distribution amplitude. The predicted branching fractions are

for

and

for

.
Compliant peripheral nerve interfaces
Authors: Paggi Valentina , Akouissi Outman , Micera Silvestro , Lacour Stéphanie P
Published: April 2021

Peripheral nerve interfaces (PNIs) record and/or modulate neural activity of nerves, which are responsible for conducting sensory-motor information to and from the central nervous system, and for regulating the activity of inner organs. PNIs are used both in neuroscience research and in therapeutical applications such as precise closed-loop control of neuroprosthetic limbs, treatment of neuropathic pain and restoration of vital functions (e.g. breathing and bladder management). Implantable interfaces represent an attractive solution to directly access peripheral nerves and provide enhanced selectivity both in recording and in stimulation, compared to their non-invasive counterparts. Nevertheless, the long-term functionality of implantable PNIs is limited by tissue damage, which occurs at the implant–tissue interface, and is thus highly dependent on material properties, biocompatibility and implant design. Current research focuses on the development of mechanically compliant PNIs, which adapt to the anatomy and dynamic movements of nerves in the body thereby limiting foreign body response. In this paper, we review recent progress in the development of flexible and implantable PNIs, highlighting promising solutions related to materials selection and their associated fabrication methods, and integrated functions. We report on the variety of available interface designs (intraneural, extraneural and regenerative) and different modulation techniques (electrical, optical, chemical) emphasizing the main challenges associated with integrating such systems on compliant substrates.
Driver Distraction Detection and Early Prediction and avoidance of accidents using Convolutional Neural Networks
Authors: Christy A. , Shyry Prayla , Meera Gandhi G. , Anto Praveena M.D.
Published: April 2021

In this fast-moving world, accidents in four wheeled vehicles occur due to the break failure or because of the carelessness or the fatigue of the driver. The driver pattern of the driver plays a major role in providing road safety as well as in fuel consumption. The distraction of drivers is found by installing various sensors which is used for gathering real time data. The behaviour of drivers under stress condition and their behavioural patterns for early detection and avoidance of accidents are found using convolutional neural networks. Convolutional Neural Networks are efficient classifiers in handling image processing and computer vision problem. The input dataset is a collection of driving behaviour of 10 different drivers collected from Kaggle. The behaviour of drivers under 7 distracted situations like texting, talking through phone, playing music, drinking, eating, doing make up and talking to passenger are considered. The batch normalization is used at the right of the input layer in order to avoid skewing of data at a direction. It is shown, the convolutional neural networks at 4 epochs have shown 99% accuracy.
Detecting Cardiac Arrest Based on Image Processing
Authors: Muthamreddy Veeranna Chowdary , Viji Amutha Mary A , Selvan Mercy Paul , Jancy
Published: April 2021

In the world, about 21 percent of death occurs in the age group of 28-72 years because of a cardiac arrest. Many people among us lose their life because of heart-attack. After the occurrence of heart-attack only, the patient can be monitored. To help our society from heart-attack, I am developing a system that helps to decrease the death rate and early detection of a heart attack. Thus, this system is used to save the life of many people. We detect the prior occurrence of heart-attack of a patient using their monitored lungs datasets using image processing along with IoT.
Research on Cosine Similarity and Pearson Correlation Based Recommendation Models
Authors: Mana Suja Cherukullapurath , Sasipraba T.
Published: April 2021

Recommendation models are based on data mining and machine learning techniques to suggest product and services to users. Advancement in the machine learning field results in the growth of more efficient recommendation models. Recommendation systems can contribute a lot to increase the business of internet based companies. Techniques for making recommendations generally fall into two categories namely collaborative filtering based models and content based recommendation models. The first techniques explores similarity based approaches like cosine similarity, Pearson correlation similarity etc. The second approaches uses predictions based on explicit and implicit ratings given by users. Recommendation systems try to suggest products to the users based on their previous purchases or general nature. A successful recommendation system is capable of improving the product sales to a large extend. This paper reviews about various recommendation models and performs a comparison of these models.
Smart Health Care Pathology
Authors: Saikumar Nama , Nitesh N. T. V. , Mary A. Viji Amutha , Selvan Mercy Paul
Published: April 2021

Wireless sensor networks have wide use in different fields such as medical, military defense. This paper discusses the primary hidden protection framework for data privacy. The hidden key, remote node, and base station are used to connect and hack through secrets. We used fiber labeling technologies to secure data transmission Between the base station and the far node. We combined those techniques with Data slice, homomorphism, data privacy and data security defense encryption technology. The only way to obtain more than a sufficient number of different secrets That can decode data from base station to remote node. To order to protect data privacy, the homomorphism encryption technology Sets up a safe and powerful network of wireless sensors.
A Fuzzy based technique for Pattern Recognition & Classification
Authors: Praveena M. D. Anto , Christy A. , Helen L. Suji , Jancy S. , Nandini D. Usha
Published: April 2021

A pattern can either be seen genuinely or it tends to be watched numerically by applying calculations. Pattern classification is worried about the capacity to discover absolute names for a lot of perceptions. A pattern classification task was viewed as an example determination issue where a meager subset of test from the marked preparing set was picked. We proposed a versatile learning calculation using the least square capacity to address this issue. Utilizing these chose tests, which we call educational vectors, a classifier equipped for perceiving the test tests was built up. This epic calculation is a mix of looking through systems that, in light of forward looking through advances, yet Adaptive finds a way to address the blunders presented by before forward advances. This paper reviews cost-delicate fuzzy standard based frameworks for pattern classification. Weighted preparing patterns are utilized to build cost-touchy fuzzy principle-based frameworks. A fuzzy classification framework is built from a given arrangement of preparing patterns. It is accepted that a weight is appointed to each preparation pattern from the earlier. The heaviness of preparing patterns can be determined dependent on their dispersion.
Examining and Predicting Helpfulness of reviews based on Naive Bayes
Authors: Praveena M. D. Anto , Christy A. , Helen L.Suji , Krishna R.Sathyabama , Nandini D. Usha
Published: April 2021

Online reviews give a significant asset to potential clients to settle on buy choices. Be that as it may, the utmost extent of accessible reviews just as the enormous varieties in the review standard present a major hindrance to the compelling utilization of the reviews, as the extreme accommodating reviews might be covered in the huge measure of poor-standard reviews. The objective of this framework is to create models and calculations for anticipating the supportiveness of reviews, which gives the theorize for finding the extreme accommodating reviews for given items. We initially exhibit that the supportiveness of reviews depending upon the three significant variables: the commentator mastery, the composing approach of review, and the practicality of reviews. Contrasted with different all around examined conclusion investigation and feeling rundown issues, less exertion has been made to break down the nature of online reviews. The target of this paper is to fill right now naturally assessing the “supportiveness” of reviews and subsequently creating novel models to distinguish the most accommodating reviews for a specific item.
An Approach to Remote Condition monitoring of Electrical Machines based on IOT
Authors: Memala W.Abitha , Bhuvaneswari C. , Mana Suja Cherukkullapurath , Selvan Mercy Paul , Maniraj M , Kishore S
Published: April 2021

With the progress and development of national economy, the power system reliability and safety issues of power system is also to be considered important. Predictive maintenance is preferred in many of the systems as it reduces the downtime, increase efficiency and reliability. Condition monitoring is important to identify the fault early in distribution transformer and generator. If any fault occurs in the generator or transformer it may affect the entire process of the generating and distributing system. And it results in unexpected shut down of power supply and expenses. Therefore real-time monitoring of transformer/generator is mandatory for supplying the constant supply to the consumers. IOT based monitoring of transformer and generator system is proposed in this paper, which could monitor the most important parameters such as temperature, current and voltage in transformer & fuel level, oil level, temperature in generator with help of sensors and the information is also updated to server via Wi-Fi module. If Any abnormal conditions is detected it will automatically result in tripping off of the system and the information is send to the server via Wi-Fi. Therefore remote condition monitoring protection becomes possible with the proposed technology.
Video Information recantation using picture characteristic method
Authors: Saravanan D. , Immanuel Y.
Published: April 2021

Information withdrawal is one of the art for many researchers, especially extracting the images one of the most inspiring for many investigators nowadays, because the complexity of the data set. Image semantic features, because these features tell how to use the corresponding patterns during the process of editing the viedo. The video arrangements which is a formal and explicit specification of events. Specifically, an event is combination of Position, period, moving, and image capturing practise. Extracting the similar contentment from the stored data set is called interpretation template. Here, a semantic design is a mixture of little –smooth structures such color, motion and audio. This video arrangement bring the new set of information that not extracted previously.
A Modern Automatic Cooking Machine Using Arduino Mega and IOT
Authors: Mary Livinsa Z. , Mary Valantina G. , Godwin Premi M. S. , Merlin Sheeba G.
Published: April 2021

In day to day life, still the majority of the household having an extremely hectic schedule for cooking. The time taken to cook food in kitchen is very huge, which formulate them exhausted. Currently the technology has grown and automation process was introduced to society for human welfare. The proposed model of a new automatic cooking machine which is fully automated totally based on Arduino Mega. The fundamental inspiration behind this is to create a modernization in kitchen. Such innovation in kitchen will help reducing human efforts which is extraordinarily favorable to every person. This machine having following functions: pumping raw ingredients into pan, stirring then cooking. Also this machine maintains the quality with quantity of cooking food. The main aim of this model is to create the cooking very simple, trouble-free and a lesser amount of time consuming.
An Automated Underwater Wireless Communication System Using Li-Fi with IOT Support and GPS Positioning
Authors: Krishnamoorthy N R , Gerald Ajit , Rajalakshmi G , Marshiana D. , Thaj Mary Delsy T.
Published: April 2021

The most difficult medium for data communication is the underwater medium. It is due to its characteristics. The various existing mode of the communication in water medium are electromagnetic waves, acoustic waves and optical signal. But all these have its own drawbacks. The loss will be huge for Electro-Magnetic (EM) waves, so it is limited to the short range communication, optical waves has line of sight issues. To overcome these, in this paper, a Li-Fi technique is used for data transmission in water medium. It uses Light Emitting Diode (LED) sources for transmission of data. This will ensure the maximum transmission rate and it is more efficient and cheaper than the other existing methods. In this paper, automation via Bluetooth, IoT and it has GPS tracking capabilities are also incorporated.
High Density Concrete Using Different Aggregates With Addition of Geo Polymers and Rice Husk Ash
Authors: Eshanthini P , Praba M. , Priyadharshini B.
Published: April 2021

S Cement Concrete is one of the most important material used in construction, as it provides good ductility and can be moulded into any shape. Normal cement concrete holds a very short tensile strength, limited ductility and little resistance to cracking. It has been initiated that various types of fibers added in exact percentage to concrete expands the mechanical properties, durability and serviceability of the structure. The main aim of the study is to study the strength of M20 grade of concrete by adding rice husk ash and barite comparing with conventional concrete. The admixtures are added from replacing cement with fly ash and GGBS at 25%, 50% & 75% to the volume of cementious material. The mechanical properties namely compressive strength, split tensile strength were carried for concrete specimen at different age level and the basic test was conducted for cement, coarse aggregate and fine aggregate.
Corrosion resistance of Structural Steel using Waste Plastic Oil
Authors: Nirmala R. , Priyadharshini B. , Manoj Kumaar C. , Eshanthini P
Published: April 2021

The failure of reinforced concrete structures is due to various surface damage or structural damage. The common problem identified for the repair of concrete structures is mainly because of Corrosion. In order to prevent the steel from corrosion effect, the various methodologies are being adopted. Core-shell theory was used to protect the steel material from the effect of corrosion by the application of cobalt oxide with zinc oxide on silica and alumina layer. According to this theory, the formation of effective protective layer is made to behave an anticorrosive coating. The combined effect of core and shell compounds enhances the efficacy of properties as a film of coating material for the steel used in the construction industry. The present study is an attempt on coating the steel reinforcement used in the construction industry using plastic oil extracted from the waste plastic which possesses the property of adhesion and resistance against corrosion.
Development of PLC Program for Multi-Process Parameter and Multi Profile-based Control Logic for Heat Treatment Industrial Applications
Authors: Pullaiah D , GunaSekaran S , Jerry Alexander T , Krishnamoorthy N.R
Published: April 2021

The industrial heat treatment application is very critical generally. The implementation of process parameters like Temperature, Pressure, and vacuum should be controlled precisely along with pre-defined time slot, otherwise, it may impact the product quality in some applications. The process of vulcanization related to rubber, glass and aerospace products is done by hot air or steam autoclaves. The Temperature and Pressure are to be controlled with ramped setpoints and in some of the applications Vacuum is also considered. By using Industrial Autoclaves, there are two types of processes that can be carried out, namely the Vulcanization and Pre-Heating. Most of the Autoclaves were used for sterilization of medical equipment in the medical field also. The process parameters are controlled based on the Process time and pre-defined profile paths which are defined by the type of application used. Whatever the applications are available, the use of a control logic program remains same in all applications. The main agenda of control logic was to achieve the process set points and minimizing the amount of error and executing the Profile steps and logging the process data were purely depending upon the Control logic program and efficiency of logic. The development of the PLC program for Controlling the Autoclaves or Ovens, should capable to handle the Data acquisition, control and monitoring of Process parameters with the smooth functioning of associated sub-systems.
Energy saving in street lighting system
Authors: Elisabeth Jebaseeli E.Annie , susitra D. , Sundaram
Published: April 2021

A street lighting system should be very efficiently designed to provide good visibility, safety and comfort to the users. It must be energy efficient with reduced cost. Generally Street lights are not operated robotically. During summer, the lights are on even during the day resulting in wastage of electricity. In the existing street lighting system, power consumption is more since the lamps glow with full illumination even in the nonappearance of vehicles or pedestrians. To overcome this, an attempt has been made to propose a system which is totally automatic. Thus an efficient and comprehensive scheme for energy saving in illumination is proposed in this paper. The energy saving is implemented using three main methods namely Dawn Dusk Method, Reduced voltage method and one phase cut off randomly and other two phases with reduced voltage method. This idea can exploit the capabilities of energy saving on the street light in well planned township in a systematic manner.
Stratification and MHD Effects on Narrow Channel Problems
Authors: Venkatesh L.Prasanna , Swetha J.
Published: April 2021

In this paper we analyze viscous oscillatory MHD inhomogeneous fluid flow through the channel which is narrow and rectangular with one wall being porous through which suction or injection is taken place with constant rate and the other wall being rigid. The equation pertaining to the motion of fluid are simplified by using narrow channel approximation and the simplified equation are solved using similarity transformation and the graphical representation are analyzed for velocity profiles. The results reveal that stratification and MHD effects are found predominantly at the centre of the channel while stratification suppresses the flow in vertical direction. For B
0=0 and N=0 the results are in accordance with that already available in literature.
Numerical Analysis of 2d Rectangular Plate
Authors: Bai H Girija , Jeyanthi M Prasanna , Ashmi Dev D A
Published: April 2021

In this article two dimensional heat equation is solved using finite difference method for the metals such as gold, zinc, tin, marble and bronze. Dirichlet conditions are applied on the boundaries of the rectangular plate. The problem is solved for different metals and the comparison is made for reaching the steady state.

The first section in your paper.
An Application of Interval Valued Fuzzy Matrix in Modeling Clinical Waste Incineration Process
Authors: Bakar Sumarni Abu , Kamal Solehah Normaly
Published: April 2021

This paper exploits an interval valued fuzzy matrix in representing combustion process of clinical waste incineration system which previously modelled by using Fuzzy Autocatalytic Set (FACS). We defined a membership degree of interval-valued fuzzy edge connectivity using concept of infimum and supremum and proposed a mapping from FACS of clinical waste incineration process to an interval valued fuzzy matrix of FACS. Basic characteristics of the matrix are observed and some proven theorems are derived.
Fuzzy Path Homotopy in Fuzzy Peano Space
Authors: Sugapriya K. , Amudhambigai B.
Published: April 2021

The concepts of fuzzy path connected homotopy in fuzzy Peano Space, Contiguous position of fuzzy path connected homotopy and fuzzy path connected homotopy equivalence in fuzzy Peano space are introduced in this paper. Also several interesting properties of fuzzy path connected homotopy in fuzzy Peano space are discussed.
Triangular and Octagonal Array Grammars
Authors: Kuberal S. , Bhuvaneswari K. , Kalyani T.
Published: April 2021

Hexagonal Array Grammars (HAG) were introduced by K.G. Subramanian [4]. HAG increased the capacity of generating the hexagonal arrays on triangular grid. In this paper, using the Triangular Array Grammars (TAG) and Octagonal Array Grammars (OAG), we increasing the generative capacity for triangular and octagonal arrays. A system of the family of Triangular Array Language (TAL) and Octagonal Array Language (OAL) are presented.
Edge D-Centro Dominating Sets in Graphs
Authors: Ananthi P.Siva , Anto Kinsley A.
Published: April 2021

A subset S ⊂ E(G) of a graph G is said to be Edge D-centro dominating set of G, if for every e ∈ E – S, there exists an edge f in S such that D(e, f) = Rad

e
(G). The minimum cardinality of the Edge D-centro dominating set is called Edge D-centro domination number, denoted by (G). The Edge D-centro dominating set with cardinality DCeγ
(G) is called DCeγ
-set of G and some bounds are determined.
Arc domination in digraphs
Authors: Anbunathan R. , Rajeswari R.
Published: April 2021

Let D = (V, A) be a digraph. A subset S of arc set in a digraph D is called an arc dominating set of D if for every arc(v, w) ∈ A/S, there exists an arc(u, v) ∈ S such that {(u, v), (v, w)} ∈ A. The minimum cardinality of an arc dominating set of D is called the arc domination number of D and is donated by γ′ (D). In this paper, arc domination number for various digraphs were determined and also derived a characterization for minimal arc dominating sets of digraphs.
Expander Graphs – A Study
Authors: Angel D , Mary Jeya Jothi R , Revathi R , Raja A.
Published: April 2021

Expander graphs are highly connected graphs that have numerous applications in statistical physics, pure mathematics and in computer science. The increased connectivity in expanders are useful to model connections between interconnecting systems which can be considered as a graph composed of particles as vertices and edges represent interactions. This paper focuses on the fascinating and highly active area of research on expander graphs. In this article, different classes of expander graphs such as Schreier graphs, Ramanujan graphs and Lp-expanders are categorized and various constructions of an explicit family of expanders are explored. Based on their construction the chromatic number of these are graphs are obtained.
Integer Cordial and Face Integer Cordial Labeling of Some Flower Graphs
Authors: Parameswari R. , Saradha Pritha K. , Rajeswari R.
Published: April 2021

Let G (V, E) be a graph, where V denotes vertex set with |V| = p and E denotes edge set with |E| = q. This paper addresses the labeling of graphs in such a way that the vertices are labeled with an injective mapping g:V→[−p2,…,p2]* or[└−p2┘,…,└p2┘]as p is even or odd respectively which actuate an edge labeling g* such that g*(uv) =1, if g(u) + g(v) > 0 and g* (uv) = 0 if not. The mapping is called an integer cordial labeling if | eg* ( 0 ) − eg* ( 1 ) | ≤ 1, where eg* (j ) signifies the edges labeled with j where j = 0, 1. Based on the integer cordial labeling the faces are labeled with g**: F (G)-→ {0, 1} such that g** (f) = 1 ifg**(f)=∑j=1ng(vj)≥0and g** (f) = 0 if not where Vj are the vertices of f. The mapping is called a face integer cordial labeling if | eg* ( 0 ) − eg* (1) | ≤ 1, where eg* (j ) signifies the edges labeled with j where j = 0, 1 and |fg**(0 ) − fg** ( 1 ) | ≤ 1 where fg**(j) signifies the faces labeled with j where j = 0, 1 is satisfied.
Optimization of Harmonious Coloring Problem in Mesh Derived Architecture
Authors: Franklin Thamil Selvi M. S , Amutha A.
Published: April 2021

Labelling of graphs has been the allocation of integers to the nodes or edges, or perhaps both, liable to revision. Graph coloring is indeed a specialized version of graph labelling, which is an allocation of labels consists of assessment to as colors to graph that are subject to several limitations. From its simplified sense it is indeed a method to color the nodes of a graph. This article deals with the harmonious coloring of central graph of some Mesh derived Architectures. A coloring is a harmonious coloring if it is a proper coloring with the intension of a couple of colors emerges towards one edge at the most.
Generative capacity of kolam patterns using Tile pasting rules
Authors: Metilda M.I.Mary , D Lalitha
Published: April 2021

Kolam is the art introduced and developed by south Indian People to entertain themself during the festival seasons. Even now it is regularly followed by the villagers especially by women every day morning In front of their houses using the rice flower. This paper gives an over view of drawing such patterns using colored petri nets and tile pasting system.
Certain subclass of harmonic univalent functions associated with generalized hypergeometric functions
Authors: Banu S S Sumaiya , Vijayalakshmi S P
Published: April 2021

In this paper, we introduce and define a new subclass of harmonic univalent functions involving generalized hypergeometric functions which are sense-preserving in the open unit disc. Further we obtain the coefficient bounds, extreme points, convex combination, growth bounds, distortion bounds and integral operator for this class.
Cryptography using Multiple – Chaos
Authors: Raja Kumar R. , Pandian R. , Prem Jacob T. , Pravin A. , Indumathi P.
Published: April 2021

Seemingly random, chaotic dynamic systems have state variables that move about in a non periodic, bounded fashion. The sensitivity to initial conditions of chaotic signals also holds an interesting pattern. A seemingly tiny change in the values of initial condition, can greatly affect the values of output. This means that the cross-correlation of two chaotic functions of same source is very low. This pattern of chaotic functions makes their use in the field of cryptography more interesting. A more complex version of chaos is the multiple-chaos, where two or more chaotic functions are used, enhances the security of the procedure. Additionally the dynamically varying look-up table, which is being transmitted along with the encrypted message, ensures high reliability in transmitting the data. Overall, this method ensures high security and high reliability in transmitting the data.
Cryptography Using Chaos In Communication Systems
Authors: Raja Kumar R. , Pandian R. , Prem Jacob T. , Pravin A. , Indumathi P.
Published: April 2021

A new and unexplored area in the field of cryptography is the use of chaotic systems to encrypt data. The purpose of this paper is to present how the principles of chaos theory can be applied in the field of cryptography. A cipher that uses chaos dynamics is presented that has very good statistical properties.
Numerical Modeling as an Effective tool for Artificial Groundwater Recharge Assessment
Authors: Abraham Marykutty , Ann Mathew Riya , Jayapriya J.
Published: April 2021

Quantification of distribution of groundwater recharge in spatial and temporal scale is a precondition for operating groundwater system effectively. Groundwater in aquifers depends on rainfall-recharge and percolation from water storages. Groundwater extraction at rates higher than its recharge rates, results in receding water tables at alarming rate. The study is to assess groundwater recharge capability of various structures in the Cuddalore aquifer, Tamil Nadu, India. The groundwater flow model was developed using MODFLOW, a finite-difference model with the support of GMS graphical user interface. Calibration, validation and the χ
2 test proved that there is no significant difference amid observed heads and modeled heads. Modelling results indicate that artificial recharge could augment groundwater levels in the area by 2 m.
Optimum buyer-vendor inventory model with coordination and price breaks
Authors: Ismail A.Mohamed , Muniappan P. , Kirubhashankar C.K.
Published: April 2021

This study develop optimum inventory model for buyer-vendor with coordination and price breaks situation. We develop the production inventory model with screening for deteriorating product and disposed for damaged items. The coordination strategy the buyer takes decision for the damaged products. Integrated inventory total cost is developed for system optimum values are found by using Lagrange’s multiplier technique. Various examples are given to illustrate the developed model.
Analysis of heart disease using statistical techniques
Authors: Priyadarshini E. , Raj Gayathri G. , Chakravarthy Samuel E , Vidhya M. , Memala W.Abitha
Published: April 2021

Binary Logistic Regression analysis is one of the popular method used for prediction and forecasting of medical related data. The aim of this paper is to build a logistic model by identifying the various factors that trigger the heart disease of a person. The interaction effects of the various factors influencing the heart disease of a person was evaluated and the performance of the method were evaluated based on standard statistical measures such as MAPE, RMSE, etc. The results obtained shows that BLR model can be used to monitor the heart disease conditions satisfactorily.
Time Series Analysis of Air Quality in Chennai city
Authors: Nirmala M. , Mallika M. , Gomathi M.
Published: April 2021

A prime issue faced in India is the quality of air. As per World Health Organization (WHO) report, 2.4 million people die each year as a result of Air Pollution globally. In this study, the Air Quality Index (AQI) is analyzed based on the database monitored at different monitoring centres in Chennai in India. For this purpose, a data set consisting of monthly Ambient Air Quality data of Chennai city with various air pollutants for commercial, residential and industrial area were collected from Central Pollution Board, Chennai. This research article aims to understand air pollution aspects in the Chennai city by identifying an appropriate time series model and the result were analyzed.
Analysis of onion prices at wholesale level in India – an application of Rescaled Range Analysis
Authors: Priyadarshini E , Jayalakshmi K , Shalini M , Chakkravarthy Samuel E , Vidhya M , Govindarajan A
Published: April 2021

India is the second largest producer of onions next to China contributing to about 22.4% of world’s production. The sharp rise in the price of onion has caused much concern in the country. This sudden price rise is due to the failure of new kharif and late kharif crops which was unprecedented. This paper evaluates the persistence level of the onion prices using Rescaled Range Analysis to find out if there is bais behaviour in the onion price. The investigation was carried out on the onion prices for the period of 7 years stating from Jan 2013 till Dec 2019.
Research on Digital Identity Authentication Technology Based On Block Chain
Authors: Chen Zaixing , Wu Shaofei
Published: April 2021

In the traditional digital identity authentication, there are potential security threats caused by the user’s personal privacy data being too centralized and vulnerable to attack, and data centralization will lead to data redundancy, poor permeability, user’s lack of master control, high overall cost, and potential threats of abuse of central rights. The digital identity authentication technology based on block chain can perfectly solve the problem of appeal. The main innovative work includes the design of a new digital identity ID and a new asynchronous Byzantine fault-tolerant algorithm dsbft using cryptography, computer network, asynchronous Byzantine fault-tolerant algorithm and other technologies, Block chain is designed based on ID and dsbft, and a decentralized identity authentication system is designed based on block chain. Hash algorithm is used for signature and acceptance to improve authentication efficiency and scalability. In order to solve the dust attack and quantum computation, the elliptic curve digital signature algorithm (ECDSA) encryption algorithm can be combined with other cryptography. The results show that the appeal identity authentication scheme can resist a variety of attacks and has high efficiency and security.
Design of a new cloud-based standardised container preservation system for moving vehicles
Authors: Sun Zhanpeng
Published: April 2021

Since the beginning of the 20th century, advanced business enterprises have focused on strengthening logistics management as a "third source of profit". In this context, that is, since the 1950s, the beginning of container sea transport, the superiority of container transport has been recognised worldwide, and become the main form of transport in domestic and foreign trade, the containerisation of such goods transport has become an irreversible direction of development. In the domestic occupy the transport of the mainstream of the car logistics is a greater demand for containers, in particular, can self-adjust the temperature of the container to achieve fresh demand, and the emergence of cloud servers and the Internet of things for this container design provides the possibility.
Dynamic RCS Modelling of Launch Vehicle Prior to Launch for Estimation of Real-time SNR
Authors: Surender Veerabathini , Sudhakara Reddy P. , Ramana Reddy P.
Published: April 2021

The Radar Tracking System plays a crucial role in tracking launch vehicles by providing continuous trajectory information in order to assess their performance in real-time for range safety purpose. The target Radar Cross Section (RCS) determines radar tracking efficiency and highly depends on both the target characteristics and the radar parameters. A good amount of RCS is warranted for space-based applications for easy detection and continuous tracking by the radar. It is essential to model and simulate the RCS fluctuations of the launch vehicle prior to launch for estimating the real-time received Signal to Noise Ratio (SNR) variations for its dynamic trajectory. This modelling will aid in selecting the best radar configuration to obtain a good amount of SNR in real-time and it also provides guidance for the radar operation in tracking the target. This paper analysed the RCS fluctuations of the launch vehicle for its dynamic trajectory prior to launch by software simulation and also compute the expected real time launch vehicle SNR variations.