bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of an Intelligent Door Bell System Using Internet of Things
Authors: Ratna Kamala P. , Pavan Kumar P. , Anish A.
Published: August 2021

Security has become the most important issue in this modernized world. Especially in cases where nobody is available at home, residences dwelled with old age people and the residences of working citizens needs security as the residents and things within the home has become a severe issue of concern as many intruders are concentrating on these type of residences for easy way of earning. To eradicate such activities by the intruders to certain extent, several strategies and systems were developed and been into market. Most of the proposed smart home systems try to bring solutions for security problem, at the cost of usage of numerous sensor devices. Also threats to these security solutions are also increasing as technology is developing. Internet of Things (IoT), a giant network of connected devices is the latest technology being used everywhere. With the increasing threats to security issues, it is necessary to use such new technologies to achieve the same with increased security. This paper presents a real time Image based intelligent door system for home security that uses a pi camera. This is an efficient approach in providing security and thereby a reliable embedded system device developed utilizing the technology to meet the complex and challenging tasks. If a person clicks the door bell, picture of the person is captured and the image is sent to the owner through SMS and e-mail. Owner of the house can respond by opening the door if he is available in the house. If he is out of the house, a message is sent back to the person in the form of an audible voice and is made audible through a speaker. Proposed system offers several advantages in providing safety and security in terms of visualization and identification of people who visits the home.
Next Generation Computing Using Quantum Dot Cellular Automata Nano Technology, New Promising Alternative to CMOS
Authors: Viswadha Singathala Guru
Published: August 2021

CMOS technology is one of the most popular technology in the computer chip design industry and broadly used today to form integrated circuits in numerous and varied applications and it has transformed the field of electronics. Over the time the design methodologies and processing technologies of CMOS devices have greatest activity with the Moore’s law. Now CMOS technology has to face challenges to survive through the submicron ranges. The scaling in CMOS has reached higher limit, not only from technological and Physical point of view but also from economical and material aspects. This concept inspires the researches to look for new alternatives to CMOS which gives better performance and power consumption. One of the alternative technologies to digital designing in CMOS is the Quantum dot Cellular Automata (QCA). QCA is a technology it works on Electronic interaction between the cells. The QCA cell basically consists of Quantum dots separated by certain distance. The transmission of information done via the interaction between the Electrons present in these quantum dots. In this paper the limitations to CMOS in submicron range and concepts for designing in QCA have been discussed and also the building blocks are explained using QCA designer implementations with focus on cell interaction and clocking mechanism.
Role of Artificial Intelligence in Distinct Sector: A Study
Authors: Jindal Harsh , Kumar Devanshu , . Ishika , Kumar Santosh , Kumar Rakesh
Published: August 2021

The artificial intelligence (AI) plays a significant role in distinct fields to solve the complex problems. The digital technical field is increasing day by day in the world and it makes an internal part of our life. Hence, the knowledge of emerging technology is must for making our life easy. However, there are some major areas which are creating the problems to human such as agriculture field that comprises crop diseases, lack of storage management, pesticide control etc. These problems can be solved by artificial intelligence, IOT, machine learning and deep learning. Hence, the aim of this paper is to discuss the role of artificial intelligence to solve different issues of distinct sectors (medical, engineering, agriculture, business, defenses etc.) especially in medicine (COVID-19). Finally, future scope, challenges and application domain of artificial intelligence is also described.
An Efficient Reverse Converter for the Four Non Coprime Moduli Set {2n,2n-1,2n-2,2n-3}
Authors: Aveyom Valentine , Alhassan Abdul Barik , Wumnaya Paula Aninyie
Published: August 2021

In this paper, residue to binary conversion is presented for the four moduli setsharing a common factor. A new and efficient converter for the moduli set using multipliers, carry saves and modular adders is proposed based on a cyclic jump approach. A theoretical hardware implementation and comparison with a state-of- the- art scheme showed that the proposed scheme performed better. The 4- moduli set selected provides a larger dynamic range which is needed for Digital Signal Processing (DSP) applications [7].
Investigation of Flexural Behavior of Engineered Cementitious Composites
Authors: . V. Selvapriya
Published: August 2021

Traditional concrete is brittle, rigid and less durable. The search for the new material in construction industry results in the development of new class of Fiber Reinforced Concrete (FRC), known as Engineered Cementitious Composites (ECC). They impart ductility and durability to the structure. In concrete structural cracks develop even before loading, particularly due to drying shrinkage or other causes of volume changes. When loaded, the micro cracks propagate and open up, and owing to the effect of stress concentration, additional cracks form in places of minor defects. The development of micro cracks is the main cause of inelastic deformation in concrete. This paper deals with flexural behavior of ECC.
Assessment of Surface Water Quality of Noyyal River Using Wasp Model
Authors: . G. Mahalakshm
Published: August 2021

The Noyyal River is a tributary of river Cauvery has been one of the most predominant and important rivers of Tamil Nadu. Unfortunately, certain stretches of river Noyyal are polluted due to effluent discharge from the industries and domestic sewage. The effective water environmental management strategies required to be implemented in this river to upgrade the water quality and to ensure sustainable development in the region. The aim of this work was to provide a basis for water environmental management in process of making important decisions. In this study WASP (Water Quality Simulation Program) is used as a model to identify the processes that underlie river water quality problems in a basin. WASP was recommended by EPA used as water quality model. Simulated values of Nitrate (NO3), Dissolved Oxygen (DO), Total Dissolved Solids (TDS), Alkalinity and pH demonstrated the accuracy of the model and despite a significant data shortage in the study area. WASP model was found to be an acceptable tool for the assessment of water quality.
Investigation on Flexural Behaviour of Cold Formed Steel Latticed Built-Up I Section with Drop Web
Authors: . N. Nandhini , . K. Sudha
Published: August 2021

This paper deals with the study of flexural behaviour of cold formed latticed built-up I beam with drop web for various sections by varying depth, thickness and span length of the section. The numerical analysis was carried out by FEM software ABAQUS 6.13[11]. The experimental works carried out by Cheng Yu and Benjamin W. Schafer (2006) [1] were taken for validating the numerical analysis procedure. It provides a cost effective way to explore the performance of products in a virtual environment. The ultimate capacity is obtained by performing both linear and non-linear analysis. Theoretical investigation as per AISI specification was carried out for all the specimens to check the accuracy of the design proposal. Numerical finite element procedure is used to instruct the effect of various parameters on behavior of beams. The critical load and different modes of failure are studied by this numerical investigation. Comparison between deformed shape and load vs. displacement curves of I section with drop web were presented.
Mumbai Metro Line-3: Initial Drive of Tunneling Activities in Package 04
Authors: . Ojas Vora , . Avinash More
Published: August 2021

Mumbai Metro Line -3, indicated as the Colaba-Bandra-Seepz line, is a part of the metro system of the city and is the first underground covering, 33.50km metro line in Mumbai, India. The study area of the tunnel line is between Naya Nagar tunnellaunching shaft and Siddhivinayak Metro station, which is part of Package 04. The distance between these two locations is about 3.6km. The description about the initial drive of tunneling activities, which involves Installation of Piles, Anchoring, lowering of TBM(Tunnel Boring Machine), Mining, Shoving, Mucking, Ring Building and Grouting has been detailed in accordance with the site condition. From the environmental point of view, the problems such as deforestation and flooding have been discussed along with the remedial action.
Comparison on the Properties of Various Alternative Materials for Replacing River Sand in Structural Elements
Authors: . Theivabharathi
Published: August 2021

River sand is a non-renewable source of material which we have been utilizing it in construction for years. In this paper replacement of natural river sand by various by-products and waste materials obtained from different sources have been taken for the study to compare their properties with that of the river sand. The alternative materials considered for the study were M-sand, Eco sand, Copper slag, crushed glass, quarry dust, foundry sand, biomedical waste ash. Some of the materials have been already tested and the optimum percentage of usage in concrete has been determined. But the comparison of their properties with that of the river sand with 100% replacement have been carried out for the study in order to check their potential to act as fine aggregate in concrete or construction industry. The tests performed were sieve analysis, specific gravity, moisture contentand compressive strength of cement mortar cubes.The test results obtained would help us in projecting a newer dimension in use of these materials in structural elements too. If it’s proven successful, thenwe would be able to implement it in large scale which would help us to revolutionize the construction industry by economizing the construction cost and enabling us to conserve the natural resources.
Swell and Consolidation Characteristics of Fiber Reinforced Cohesive Soil
Authors: . Rajeena , . S. P. Jeyapriya
Published: August 2021

Naturally occurring expansive clays show detrimental changes in volume when subjected to variation in water content. It leads to significant damages in foundations that are seated on these materials used for the construction in pavement, bridges especially in light weight buildings. The improvement could be in terms of reducing the swelling and differential settlement or increasing the shear strength of clayey soil. Reinforcing soil using fiber is one of the ground improvement techniques in which fibers are mixed randomly with the soil, in similar fashion to mixing with lime, cement or other additives. It eliminates the potential weak planes and maintains the strength isotropy by random reinforcement. The main objective of this study is to investigate the effect of synthetic polypropylene fibers on the swelling and consolidation characteristics of clay soil. The parameters considered for the study include the swelling pressure, swell potential and consolidation characteristics. Polypropylene fiber with aspect ratio (l/d) 12 is varied at 0%, 0.1%, 0.25%, 0.50% and 0.75% by dry weight of the soil is used as reinforcement. The swell potential(S%) and the swelling pressure(P) decreased with the addition of fiber. From the experimental results, 0.5% of polypropylene fiber is considered to be optimum. The results also revealed that the rate of heave formation is very less compared to that of unreinforced soil. From the consolidation test, it was observed that compression index, co efficient of compressibility and co efficient of volume change are 0.22, 0.8 mm2/N and 0.48mm2/N at the optimum fiber percentage.
Influence of Nano Silica on the Geotechnical Properties of Clayey Soil Stabilized with Lime
Authors: . R. Iswarya , . V. Satheeskumar
Published: August 2021

The soil must be able to withstand the load and transfer it to ground within the range of allowable deformations, for which it must possess good physical and geotechnical properties. The conventional method of stabilization such as removal and replacement of ill – suited soils incur higher cost and is time consuming. A new method of stabilization, designated as chemical stabilization can be adopted. This method initiate chemical reactions such as cation exchange, pozzolanic activity etc., which consequently enhance the geotechnical properties of soil. In this study, the mechanical behavior of soil is improved by addition of nanoparticles i.e., nano silica along with cementitious material, lime. Considering economic issues of nano silica usage and results of this research in soil stabilization projects, in this study 0, 1, 3 and 5 % weight of nano silica is used as well as 0, 2 and 4 % weight of lime is used. The effect of these replacements is studied by Atterberg limits test, compaction test and unconfined compressive strength (UCS) test. The effect of curing time on samples at 3, 7 and 28 days of age has also been investigated. The optimum percentage replacement of nano silica in lime stabilized soil is determined. The microstructure of the stabilized soil is studied by Scanning electron microscopy (SEM) test. Thus the results proved that there is a significant improvement in the plasticity, compaction and strength properties with slight addition of nano silica in clayey soil mixed with lime.
Thermal Performance of Three Sided Artificially Roughened Double Duct Parallel Flow Solar Air Heater
Authors: Kant Chander , Kumar Prashant , Gill Ankur , Dhiman Dhiraj Parkash
Published: August 2021

A solar air heater is basically a heat exchanger, which intercepts the incident solar radiation, converts it into heat and finally transfers this heat to a working fluid for an end use system. The mode of air flowing in the ducts of a solar air heater is one of the most significant aspects concerned with solar air heater which dominantly affect. A double duct parallel flow artificially roughened solar air heater with three sides of the absorber plate is investigated in the current study. Unlike the conventional model of solar air heater with only one sided roughened absorber plate, a novel solar air heater with three artificially roughened absorber plate is used so that the surface area of the absorber plate is increased which ultimately increases the rate of heat transfer. Additionally, a double duct parallel flow arrangement through inner and outer duct of solar air heater is considered order to enhance the heat transfer rate. A numerical investigation of the heat transfer and friction factor characteristics of a double duct parallel flow three sided artificially roughened solar air heater has been carried out. A commercial finite volume CFD code ANSYS FLUENT is used to simulate turbulent air flow through artificial roughened solar air heater. Governing equations of the fluid flow and heat transfer i.e. Navier-Stokes equation and energy equation are solved with RNG k-ε turbulence model. Nine different configuration of square rib are studied with relative roughness pitch (P/e = 5-10) and relative roughness height (e/D = 0.03-0.06). The Reynold number of the flow is varied from 2500 to 16000.
Mathematical Modeling and Simulation of Enzyme Assisted Bioactive Compound Extraction from Allium Cepa Using Response Surface Methodology
Authors: Thirugnanasambandham K.
Published: August 2021

In this present study, an attempt was made to investigate the enzyme assisted extraction process to extract the phenolic compounds from onion (Allium cepa) under various operating conditions such as temperature, extraction time and enzyme concentration. Three factors three level Box-Behnken response surface design (BBD) coupled with desired function methodlogy was used to optimize and model the extraction process. Optimum extracting conditions for the maximum phenloic compounds were determined and it was found to be: temperature of 40 0C, extraction time of 16 hour and enzyme concentration of 2 %. Under these conditions, 9.25 % of phenolic compound was extracted. Extracted phenolic compounds can be regarded as the promising antioxidants to scavenge the DPPH free radicals.
Simulation and Implementation of Microcontroller Based Printed Circuit Board Ready Circuits for Technical Training and Demonstration
Authors: Oyebola Blessed Olalekan , Eze Blessing E.
Published: August 2021

The paper presents designed and constructed microcontroller based PCB ready on five automation circuits as an attempt to aid technical education on microcontroller circuits’ simulation in Computer Engineering Technology. The designs were of three stages that include circuit design and simulation by using Proteus software, printed circuit board (PCB) production using manual techniques and construction of five selected circuits (Seven Segment to Display Number 0-9, seven Segment Counter to Count 0-99, Matrix Led to Display A-Z, Digital Thermometer and Motion Sensor to Switch 10 Points of Loads) for purpose of training. The microcontroller programing were done in Mikro C programming platform. The presented hand-on circuits have proved to be instructive to trainees.
Task Scheduling Algorithm Based on Bacterial Foraging Optimization (BFO) in Cloud Computing
Authors: Gupta Anupama , Kaur Kulveer , Kaur Rajvir
Published: August 2021

Cloud computing is the architecture in which cloudlets are executed by the virtual machines. The most applicable virtual machines are selected on the basis of execution time and failure rate. Due to virtual machine overloading, the execution time and energy consumption is increased at steady rate. In this paper, BFO technique is applied in which weight of each virtual machine is calculated and the virtual machine which has the maximum weight is selected on which cloudlet will be migrated. The performance of proposed algorithm is tested by implementing it in CloudSim and analyzing it in terms of execution time, energy consumption.
Influence of Tillage Depth and Plough Speed on Performance of Primary Tillage Tools
Authors: Singh Jagseer , Chatha Sukhpal Singh , Sidhu Buta Singh
Published: August 2021

In India near about 60% population is engaged in agriculture. Soil loosening is a primary method of cultivation before seeding. There are number of tillage tools used for primary cultivation i.e. cultivators, rotary tillers, moldboard plough and chisel plough, rotavators etc. During soil cultivation wear occurs due to interaction of tillage implement and soil particles, which in turn decreases tillage quality and increase draft forces and fuel consumption of tractor. Tool wear reduces farmer’s efficiency, costing millions of dollars per year to Nation’s economy. Knowledge of tillage depth and ploughing speed save the tillage time and improves tractor efficiency. In this study it is attempted to relate the influence of tillage depth and tractor speed on primary tillage tools.
Current Status of Prevention of Hot Corrosion of Boiler Steels with Thermal Spray Coating
Authors: Singh Gurdeep , Singh Indermeet , Goyal Khushdeep
Published: August 2021

In the thermal power plant, various conventional steels are used to manufacture boiler components. Due to high operating temperature of these boilers, these conventional steels are unable to resist hot corrosion. In recent years researchers have used various techniques to resist hot corrosion out of these techniques, thermal spray coating process have gained lot of interest due to the ease of coating, low operating cost, and various other advantages. With these coating processes a thin layer of coating material is developed over steel alloys surface which creates hindrance to penetration of corroding element and hereby reduce corrosion. This paper is an attempt to present a comprehension the study related to hot corrosion of thermal spray coating on boiler steels at high temperatures.
Fabrication and Characterization of Bioglass
Authors: Singh Dalveer , Singh Sandeep , Singh Gurpreet
Published: August 2021

Glasses are common in use now days. These are used in different applications like domestic, automobile, telecommunication etc. The glasses are very useful materials because of their impressive properties. Few years back a new generation of glasses were developed i.e. bioactive glasses and bioactive glass ceramics. The glasses are used for bone grafting now-a-days because of their impressive bioactive properties. These glasses have tendency to form bonds with the living tissue organs. The future of these glasses will be bright in dental, orthopedics and prosthetic applications. In the present work borosilicate glasses of different compositions have been studied. The different elements were added with appropriate mol% to compose a new bioglass composition. The samples were prepared by melt quench route. The samples were immersed for 21 days in SBF. The samples were characterized before and after immersion in SBF by different techniques. The XRD technique was done to confirm the amorphous nature of glass before immersion and after immersion. The SEM and EDX were done to check the changes on the surface after immersion. The sample S1 has better biocompatibility results than S2 andS3. The formation of apatite on the glass samples were confirmed by all techniques mentioned above.
Multi-Walled CNT Reinforcement to Thermal Spray Coatings
Authors: Goyal Rakesh , Sidhu Buta Singh , Chawla Vikas
Published: August 2021

Thermal spraying coating techniques have emerged as very effective surface protection technology to apply protective coatings for corrosion and wear resistance applications. These coatings have gained more importance in recent past. Advances in powder and wire production have resulted in development of various types of surface coatings with excellent wear and corrosion resistance properties. Because of excellent mechanical, thermal and electrical properties of Carbon Nanotubes, CNTs reinforced composite coatings are being developed for various applications, e.g. automotive, aerospace and sports equipment industry. It is observed that if properly deposited, these CNTs ceramic composite coatings can provide improved properties like wear and corrosion resistance. It has been found that CNTs composite coatings can be successfully deposited by thermal spraying techniques, and these coatings provide better performance than conventional coatings. This paper reviews the performance of such coatings developed by various researchers.
Corrosion of Stainless Steel and its Prevention through Surface Modification for Biomedical Application: A Review
Authors: Tiwar Srikant , Mishra S. B.
Published: August 2021

Living habits of the young as well as old age people is changing with the advancement of technology. The number of accidents of young age group is increasing due to faster life causing bone fracture whereas bone fracture or misalignment of joints is common amongst the old aged people. Various natural and artificial materials such as (Stainless steel (SS), titanium alloys, cobalt alloys, nickel alloys etc.) are used as biomaterials to replace the damaged body parts. Among the various biomaterials, stainless steel is widely used due to its ease of processing, shaping, low cost and availability. However, its behavior is quite different in human body condition and faces several problems such as wear, lack of biocompatibility, corrosion, etc. Corrosion is reported to be a serious concern related to biomaterials especially stainless steel as it releases toxic elements which are harmful to human body and causes several others serious problems. This paper presents a critical review on the corrosion behavior of stainless steel biomaterial, others problem/issues associated with the stainless steel and surface modifications techniques/methods to improve the corrosion resistance, wear resistance, biocompatibility and overall life of such implants.
Current Trends in Bio-Implants’ Research
Authors: Singha Balraj , Singh Gurpreet , Sidhu Buta Singh
Published: August 2021

Biomaterials are used for making devices that can interact with biological systems of peoples who not only suffers from congenital heart, bone or dental diseases but even sometime young and dynamic people such as sportspersons need replacements due to fracture and excessive strain. The biomaterials are commonly used in dentistry, orthopedics, plastic and reconstructive surgery, ophthalmology, cardiovascular surgery, neurosurgery, immunology, histopathology, experimental surgery, and veterinary medicine etc. Biomaterials when placed inside the human body are called bio-implants. In spite of the technological advancements in the field of medical sciences, the infection and osteomyelitis are still noteworthy after implantation. Therefore, it is need of the hour to improve the performance of traditional biomaterials. This paper summarizes some recent trends and studies, in the research field of bio-implants, which are aimed at the enhancement of current generation biomaterials.
Friction Crush Welding of Similar Metals: An Overview
Authors: Singh Prem , Deepak Dharmpal , Brar Gurinder Singh
Published: August 2021

Friction Crush Welding (FCW) is a newly developed technique which can be used for welding of similar materials with or without filler metal. In this process, welding between two work pieces occurs due to relative motion between work pieces and rotating cylindrical tool, which causes crushing of material to produce weld. Similar weld which include welds of aluminium, steel and copper and their alloy have been successfully produced by few researchers. This review covers the work conducted in the field of FCW and throws light on the future use of FCW for welding similar and dissimilar materials.
A Review on Applications of Kenaf Fibre Reinforced Composites
Authors: Gnanasekaran Sasikumar , Ayyappan Sivasangari
Published: August 2021

Natural fibres namely sisal, jute, kenaf, hemp, abaca and banana are mainly used in industries for developing Natural fibres composites. They find many applications such as automobiles, furniture, packing and construction due to many merits such as their low cost, good mechanical properties, non-toxic, low weight, less damage to processing equipment, improved surface finish, abundant and renewable resources. The objective of this paper is to review the applications of various kenaf fibre reinforced polymer composites which will provide a base for further research in this area.
Role of Dietary Pattern on the Microbial Diversity in the Gut of the Experimental Mice
Authors: Samuel Rosa J. , Joy Omana , Piruthiviraj Prakash
Published: August 2021

Animal models are important for biomedical research as they help us to understand the mechanisms and functions similar to humans. Microbiological analysis is an integral part of animal studies especially when looking for gut microbiota changes. Several factors such as diet, antibiotics etc. have an impact on the composition of the gut. While many conventional and molecular methods are used for the identification of microbiota, this study aimed at evaluating the usefulness of flow cytometry for identification of bacteria based on their ability to scatter light. Fresh gut samples from mice were collected and cultured on nutrient agar followed by plating on selective media. The isolates were characterized and differentiated by biochemical tests and FACS (fluorescent activated cell sorter) analysis. The major group of isolates obtained from culture methods and biochemical characterization were identified as Proteus and Klebsiella species. Forward and side scatter analysis of the samples showed two distinct patterns in the plots and correlated with the microbiological results. From the results it was found that flow cytometry can be effectively used as method of rapid detection of microorganisms from animal samples.
Impact of Total Quality Management Practices on Quality Performance: A Case Study on Armament Manufacturing Industry
Authors: Berhane Hagos , Maganti Pramila Devi
Published: August 2021

Total quality management (TQM) has been widely considered as the strategic, tactical and operational tool in the quality management research field. It is one of the most applied and well accepted approaches for business excellence besides continuous quality improvement, six sigma, just-in-time, and supply chain management approaches. This study investigated impact of TQM practices on quality performance in an armament manufacturing industry in Ethiopia. The quantitative approach and the survey method of collecting data were used. The five point Likert scale structured questionnaire was administered through the face-to-face method of collecting data. 340 questionnaires were randomly distributed to employees who are working in different factories in the two armament manufacturing industry. Eight factors related to TQM practices were initially selected as independent variables viz., leadership, customer focus, continuous improvement, employee involvement, training and education, supplier management, strategic quality planning, information analysis, and quality performance as dependent variable in the proposed model. Raw data was analysed with the help with SPSS software (version – 20). Mean, standard deviation, exploratory factor analyses, correlation, and multiple regression analyses were used to find the impact of TQM practices on quality performance. The results of this study supported the model proposed (R2 = 0.378, F = 36.292, p = 0.000). This study has shown that only three (viz., leadership, customer focus, and information analysis) of TQM practices significantly (p < 0.05) have positive impact on quality performance. It is recommended that industry should continue to implement TQM practices with all variables to improve quality performance. Industry should improve continuous improvement, employee involvement, training and education, supplier management, strategic quality planning more to overcome the barriers that prevent effective implementation of TQM practices.
Effect of Materials in Life Cycle Energy Assessment: A Case Study of a Single Storey Building
Authors: . C. Sivapragasam , . PL. Meyyappan , . Rithu Christy , Akila Reddy V. , Karthiga S.
Published: August 2021

Life Cycle Energy Assessment (LCEA) of buildings is commonly being adopted as a tool to evaluate the environmental effects of a building throughout its entire life cycle to enhance the building sustainability. The different phases in the LCEA of a building involve the extraction & manufacturing of building materials, construction, operation, maintenance and demolishing. It measures all inputs to a building and all outputs (emissions) released to the environment in all the phases. This study particularly focuses on the ‘operational’ phase of the LCEA and recommends what materials changes in some of the building components under Indian conditions can lead to lower energy consumption. The case study considered is a single storey building with a plan dimension of 10m x 7m. eQuest software is used for energy simulation. An attempt is also made to study the influence of environmental impacts of the building key assembly components such as roofs and infill walls etc. It is strongly recommended that all structural designs should consider LCEA before it is approved.
Differential Evaluation Based Secure Ad-Hoc Protocol for Vanets
Authors: Gandotra Tamanna , Singh Gurpadam
Published: August 2021

VANET is a special category of MANETs which is composed of moving vehicles, acting as nodes. Vehicular Ad-hoc Networks is aimed at increasing inter-vehicular communication, so that information collected in a vehicle can be shared with other vehicle users, with the aim of improving driving experience. Many studies have indicated that appropriate attack algorithms are essential to provide secure operation of a network. It has been observed that the use of optimum or sub-optimum values are ignored while detecting the wormhole attacks in VANETs. The use of differential evolution is ignored in existing literature which can find optimum values for attack detection based VANETs. It has been observed that the proposed technique outperforms existing techniques in terms of packet collision and throughput.
Mechanical Assisted Modification of Halloysite Nano Clay: Characterization and Its Effect on Mechanical Properties of Halloysite-Epoxy Nano Composites
Authors: Rudresh M. , Maruthi B. H. , Nagaswarupa H. P. , Surendra B. S.
Published: August 2021

Modificationof Halloysite nano clay has been done using 3-aminopropyltriethoxysilane in the presence of distilled water as solvent media. Untreated and modified nano clay was characterized by Powder X-ray diffractometer (PXRD), Scanning Electron Microscope (SEM), Fourier Transform Infrared Spectroscopy (FT-IR). Functionalization of Halloysite nano clay is also strongly affected the morphological parameters and enabling the application in epoxy nano composite. However, the influence of modified clay concentration on the mechanical properties of epoxy/nanoclay composites, with different concentrations (2%, 3%, 4% and 5%) of nano clay in the epoxy resin was investigated. Experimental results showed that the mechanical properties of epoxy were improved upto 4 wt% of HNP’s, evidently because of the loading of modified clay. The tensile strength, tensile Modulus, flexural strength, flexural modulusand fracture toughness of the nanocomposites increased by 13%, 17%, 9%, 14%and 27% respectivelythis demonstrated that the composites were strengthened.
The Different Strategies used for the Early Diagnosis of Alzheimer’s Disease
Authors: Sandeep C. S. , Sukesh Kumar A.
Published: August 2021

Gerontology or the scientific study of old age deal with the many clinical problems that are common in the elderly population and many of these follow the orthodox pattern of clinical practice. Patients characteristically have poor insight and often attribute their early symptoms of amnesia to normal aging. Alzheimer’s disease (AD) is a common form of senile dementia that makes disabilities in cognitive behavior and performs routine functions. There are several causes for the disease. Although our understanding of the key steps underlying neurodegeneration in Alzheimer’s disease (AD) is incomplete, it is clear that it begins long before symptoms are noticed by the patient. The aim of this paper is to give an overall idea of the hallmarks, stages of the disease, signs or symptoms and the different methods used for its diagnosis. Any disease-modifying treatments which are developed are most likely to be successful if initiated early in the process, and this requires that we develop reliable, validated and economical ways to diagnose Alzheimer’s−type pathology. However, despite comprehensive searches, no single test has shown adequate sensitivity and specificity, and it is likely that a combination will be needed. There are several clinical tests and neuroimaging techniques used in clinical practice for the diagnosis of Alzheimer’s – type pathology. Prominent of them are biomarkers, Magnetic Resonance Imaging Scan (MRI), Positron Emission Tomography (PET) and Single−Proton CT Scanning (SPECT). Using the new advanced Biomedical Engineering Technologies to the clinical practices stated above, we can develop a computer-aided tool for the early diagnosis of AD. The different soft computing tools in Biomedical Engineering for developing a computer-aided tool are Neural Networks, Genetic algorithm, Wavelet Networks, Support Vector Machines, and Fuzzy Logic. In this paper, we have focused on the different causes as well as the different strategies used for the early diagnosis of Alzheimer’s disease (AD).
Thrice Filtered Information Energy Based Particle Swarm Feature Selection (TFIE-PSFS) Method Based Artificial Neural Network Classification for Improving Heart Disease Diagnosis
Authors: Umasankar P. , Thiagarasu V.
Published: August 2021

Diagnosing the existence of heart disease is really tedious process, as it entails deep knowledge and opulent experience. As a whole, the forecast of heart disease lies upon the conventional method of analysing medical report such as ECG (The Electrocardiogram), MRI (Magnetic Resonance Imaging), Blood Pressure, Stress tests by a Medicinal expert. Nowadays, a large volume of medical statistics is obtainable in medical industry and turns as a excessive source of forecasting valuable and concealed facts in almost all medical complications. Thus, these facts would really aid the doctors to create exact predictions. The innovative methods of Artificial Neural Network models have also been contributing themselves in yielding the main prediction accuracy over medical statistics. This paper targets to predict the presence of heart disease utilizing Back Propagation MLP (Multilayer Perceptron) of Artificial Neural Network. The proposed ANN design targeted to generate the three outputs Yes (Patient having heart disease), No (Patient not having heart disease), and Hesitant (Patient those who are in between yes and no category).
Fuzzy Linear Labeling
Authors: Mathew Varkey T. K. , Sreena T. D.
Published: August 2021

A fuzzy linear labeling of a graph is the existence of two injections which assigns values in [0,1]. This labeling fuzzifies the crisp graph. In this paper we show the admissibility of fuzzy linear labeling in some path related graphs.
Identification of Novel Drug-Like Compounds from Momordica cymbalaria as PPAR-γ Agonists: A Molecular Docking Study
Authors: Abbirami E. , Selvakumar M.
Published: August 2021

Peroxisome Proliferator-Activated Receptor – γ (PPARγ) is a ligand-activated transcription factor, has become a main target for the treatment of diabetes. It is a member of the nuclear receptor superfamily that regulate the gene expression of proteins involved in glucose, lipid metabolism, adipocyte proliferation and differentiation and insulin sensitivity. Thiazolidinediones (TZDs) are one important class of synthetic agonists of PPAR-γ. TZDs are antidiabetic agents that target adipose tissue and improve insulin sensitivity, and they are currently being used in the treatment of type 2 diabetes. This work was designed to find out the bioactive compounds from Momordica cymbalaria that have the ability to stimulate the PPAR-γ using molecular docking procedure. Six metabolites namely 2-Methoxy-4-vinylphenol, Guaiacol, Carbinoxamine maleate, Azulene, 4N Ethylcytosine and Methyl cinnamate were docked with PPAR-γ using AutoDock and the results were determined using binding affinity. Among the six compounds three compounds (Carbinoxamine maleate, 2-Methoxy-4-vinylphenol and 4N Ethylcytosine) showed significant binding affinity towards the PPAR-γ. Based on the findings of this study these phytochemicals can serve as source of anti-diabetic drugs via agonizing PPAR-γ.
Investigation of Effect of Pore Shape, Position and Passivation on the Thermoelectric Properties of Porous Armchair Silicene Nanoribbons
Authors: Kumari Rajneesh , Randhawa Deep Kamal Kaur , Kaur Sukhdeep
Published: August 2021

In this paper, thermoelectric properties of porous armchair silicene nanoribbons (ASiNRs) have been investigated as a function of pore shape, position and passivation using the Non-equilibrium Green’s function (NEGF) method and Extended Huckel Technique (EHT). Here, nanopores of circular, rectangular, rhombus and triangular nature at different positions have been incorporated with an intention to optimize the structure for maximum thermoelectric figure of merit. In addition, the effect of passivation of the pore edges on the thermoelectric performance has been studied for all the shapes. Further, the effect of temperature variation on the thermoelectric efficiency has been studied. Ballistic transport regime and semi-empirical method using Huckel basis set are used to obtain the electrical properties, while the Brenner potential is used for the phononic system.
Modeling and Optimization of Carbon Dioxide Removal in Packed Bed Column Reactor
Authors: Thirugnanasambandham K.
Published: August 2021

Global warming due to greenhouse gases has become a serious global issue. Extensive efforts are being made to fighting this phenomenon through carbon capture as carbon dioxide (CO2) is its major contributor. This study focused on CO2 capture in packed bed column reactor using Poly-(D) glucosamine under the various process parameters such as temperature, feed flow rate and mass of the adsorbent. Statistical design of experiments was carried out in order to analysis the effect process parameters on the capacity of CO2 capture in packed bed column. The obtained results show that feed flow rate has the significant affect compared to others. The maximum of 956 mg of CO2 is captured under the following operating conditions; temperature of 40oC, feed flow rate of 30 ml/min and 0.25 g of the Poly-(D) glucosamine. The ability of Poly-(D) glucosamine to capture the CO2 in packed bed column is confirmed.
A Study on Emerging Methods and Ways in Agricultural Sciences: With Reference to Organic Farming
Authors: Paul P. K. , Sinha R. R. , Bhuimali A. , Aithal P. S. , Saavedra Ricardo
Published: August 2021

Agricultural Sciences is an Applied Science but has its touch with social science due to its nature. It uses various kinds of tools, techniques, procedure, methods, principles of science; that is responsible for the cultivation of plants, crops, vegetables, livestock as well as animals. Agriculture is dedicated to the sedentary human civilization and by this people can meet their food demand. As far as the history of agriculture it is noted that agriculture as a concept emerged thousands of years before about 105,000 years ago and regarding the nascent farmers, it was about 11,500 years ago. Initially, animals were not considered within this but gradually various animals such as pigs, sheep and cattle became part of agricultural sciences since 10, 000 years ago. Farming normally considered as the cultivation in a small area whereas Agriculture is treated for a large area with huge place and expenditure. In today’s context, about 11 regions of the world are cultivating commercially. Agriculture as an interdisciplinary field is concerned with various disciplines and subjects; and this trend is growing rapidly. There are diverse areas and emerging nomenclatures emerged in Agriculture viz. Chemical Agriculture, Green revolution & Agriculture, Genetic engineering-based Agriculture, Organic Agriculture /Farming, Corporate Agriculture /Farming, Vertical Farming /Agriculture, etc. This paper is theoretical and empirical in nature. It analyzed various aspects of agriculture with special reference to the aspects, features, role, and emergence of three emerging types of agriculture viz. Organic Agriculture.
University Performance Satisfaction: A Student Experience in the Philippines
Authors: Micabalo Kingie G. , Cano Jesszon B. , Montilla Ryan D.
Published: August 2021

Student satisfaction is a factor to consider for a University in estimating its productivity and adequacy. It impacts not just how much an understudy appreciates time at college yet also estimates scholastic execution. This examination assesses the degree of understudy satisfaction in a College. The investigation respondents were the 183 understudies from the University of Cebu Lapu and Mandaue utilizing descriptive technique on simple random inspecting. The examination uncovered that most understudies were happy with the nature of schooling, current scholarly encounters, and understudy administrations. It was presumed that although general understandings were fulfilled, an area for development is still evident. Besides, to guarantee the greatest satisfaction, the division instructors must not lose sight of reasonable incentives for nonstop quality schooling improvement endeavors. The college must give an opportunity to emphatically vie for candidates and take care of inquiries quicker than any time in recent memory through an enlistment framework, installment framework, and the accessibility of web-based media augmentation for understudy concerns.
Assessment of Demographic Characteristics and Self-Actualization Dimensions of Academic Leaders in Tamil Nadu Universities: An Empirical Study
Authors: Gopinath R.
Published: August 2021

The main aim of the research is to find out the details of demographic characteristics and priorities of self-actualization dimensions of academic leaders in Tamilnadu Universities. This report targets in identifying significant self-actualization dimensions and their importance. The conceptual framework of the paper is based on self-actualization and academic leader’s demographic characteristics. The demographic factors analyzedusing mean & standard deviation of self-actualization. For this purpose, a sample survey has been conducted taking a sample size of 419 using techniques multistage random sampling. In our research academic leaders belonging to different age groups, gender, educational qualification, different designation, salary and years of experience were surveyed. From the descriptive analysis most of the academic leaders is male and their age group is 49-53 years.
Most of the academic leader’s qualification is Ph.D. and their designation are SCAA/AC/Chair/Co-ordinator. Most of the academic leader’s monthly income is Rs 150001 to 210000 and their experience 21 to 26 years. The further analysis is Equanimity has been ranked as top most self-actualization Dimensions. This implies that academic leaders give more importance to self-actualization. Academic leader’s role is important at any institution of higher education. Their demographic profile is influence to develop the institutions and job tasks they perform everyday have a directly influence on the organization’s ability to meet stakeholder expectations.
Person Re-Identification Using Deep Learning Approach: A Survey
Authors: Mallika Pandeeswari R. , Shargunam S. , Rajakumar G.
Published: August 2021

Person Re-identification proof crosswise over various observation cameras with disjoint fields of view has turned out to be one of the most intriguing and testing subjects in the zone of wise video observation. Albeit a few techniques have been created, what's more, proposed, certain confinements and uncertain issues remain. In the majority of the current Re-identification proof approaches, highlight vectors are separated from sectioned still pictures or video outlines. Distinctive similitude or disparity measures have been applied to these vectors. A few strategies have utilized basic consistent measurements, while others have used models to acquire streamlined measurements. Some have made models dependent on neighborhood shading or surface data, and others have constructed models dependent on the stride of individuals. When all is said in done, the primary goal of every one of these methodologies is to accomplish a higher-exactness rate and lower computational costs.
Image Compression Techniques Using Linear Algebra with SVD Algorithm
Authors: Karthigai Selvam S. , Selvam S.
Published: August 2021

In recent days, the data are transformed in the form of multimedia data such as images, graphics, audio and video. Multimedia data require a huge amount of storage capacity and transmission bandwidth. Consequently, data compression is used for reducing the data redundancy and serves more storage of data. In this paper, addresses the problem (demerits) of the lossy compression of images. This proposed method is deals on SVD Power Method that overcomes the demerits of Python SVD function. In our experimental result shows superiority of proposed compression method over those of Python SVD function and some various compression techniques. In addition, the proposed method also provides different degrees of error flexibility, which give minimum of execution of time and a better image compression.