bluuebunny/crossref_metadata_2025 huggingface dataset:
Do Technology Advanced Modern Banks Outperform Traditional Banks in India? - an Empirical Insight
Authors:   Associate Professor, Department of Management Studies, Ramaiah Institute of Technology, Bangalore, Karnataka,, Mohanasundaram T. , Karthikeyan* P. ,   Assistant Professor (Sr. Grade), School of Management Studies, Kongu Engineering College, Perundurai, Erode, Tamilnadu,, Krishnamoorthy V. ,   Assistant Professor, School of Management Studies, Kongu Engineering College, Perundurai, Erode, Tamilnadu,
Published: November 2019

This research paper examined whether modern banks viz., foreign origin banks in India and the Indian new generation private banks outperform the conventional banks viz., public sector banks and old generation private banks. The modern banks are technology driven and have a upper hand in offering ancillary services vis-à-vis traditional banks. The study explores theperformance of different banking groups by analysing the interconnections among asset quality, financial soundness, profitability and credit growth of different bank groups in India since 2005 to 2018. Asset quality signifies an important role in the financial health of the banks. Reserve Bank of India (RBI) levied severe asset quality measures on banks operating in India during 2015-16.This unfolds the long hidden financial miseries. The regulators and central banks across the world worked persistently towards enhancing the banks’ ability to observe the inherent and external risks. As a result of this, stringent capital norms based on risk-weighted classification of assets were implemented to ensure financial soundness of the banks. These two policy measures brought a drastic changes in the Indian banking sphere. These changes perhaps lead to interesting research questions viz., do they affect profitability and credit growth of the banks? We addressed this research question through empirical analysis. Further, to identify whether the technology-based modern banks performs better in comparison to traditional banks, the paper measures the effect of these norms on different bank groups viz., public sector banks, private old sector banks, private new generation banks and banks from foreign origin by drawing comparisons between pre-implementation period and post-implementation period of these norms. The study comprised all banks in different banking groups which were operating since 2005. The data were collected from CMIE prowess IQ and various Reserve Bank (RBI) reports. The study outcome is expected to disclose possible nexus among the chosen variables with reference to different bank groups and also reveals whether modern banks better than traditional banks.
Agent-Based Ergonomic User Interface Development Environment: Analysis Phase
Authors:   MANUU Polytechnic Darbhanga, Satellite Campus of Maulana Azad National Urdu University, Hyderabad, India., Khan* Md. Abdul Muqsit
Published: November 2019

Internet around the world has become the prime source to satisfy the requirement of Entrepreneurs, customer and end users. As user comfort is the primary goal of all the entrepreneurs, the end user interacts through the internet to mine the knowledge. The user interacts the internet by apps and web. To attract the users, the user interface (UI) designers focus on Visual presentations to abet users to interact, comprehend, and navigate to the information. The work presents that how visual perceptions of Web page intricacy by perceptive users' behavior, the indispensable cognitive effort for interaction with the UI can be understood. The work presents an extension of current methods for designing UI using model-based technics, with the methods essential for the design of adaptive capacities required in different phases of development. These developments can be fused in Agent-Based Ergonomic User Interface Development Environment. This technique is bolstered by a solution based on Multi-Agent System (MAS) which offer adaptive capabilities to users, designed using the anticipated technique of Agent-Based Ergonomic User Interface Development Environment (AB-EUIDE). In [27] author has presented the various phases of the AB-EUIDE Framework. In this article author presents the analysis phase of the AB-EUIDE and explains how a compromise is done between Adaptation and Ergonomics while designing the user interface.
Mechanical Behaviour of Fibre Reinforced Concrete using Shape Memory Alloys
Authors:   Head of the Department Civil Engineering Department, Pace Institute of Technology and Sciences, Vallur, Prakasam Dist., Andhra Pradesh, India., Naidu* G.Ganesh , Prasad M.Sri Durga Vara ,   Assistant Professor, Civil Engineering Department, Pace Institute of Technology and Sciences, Vallur, Prakasam Dist., Andhra Pradesh, India., Mani E. ,   PG Scholar, Institute of Technology and Sciences, Vallur, Prakasam Dist., Andhra Pradesh, India.
Published: November 2019

Usage of smart materials in concrete is extensively increasing. This study focuses on behavior of fiber reinforced concrete, using shape memory alloys (SMA) fibers. SMA adopted for this study is NiTi shape memory alloy crystals. Concrete is tested for slump and mechanical properties tested are compressive strength for 7 and 28 days. Flexural strength is tested for 28 days. Constant rates of 1% of SMA fibers are added to the concrete mix. Also regular steel fiber reinforced is prepared and test values are compared with SMA fiber reinforced concrete.
Performance of Recycled Aggregate in Pervious Concrete
Authors:   Civil Department, VTU PG Center, Kalaburagi,Karnataka, India., Ramana* N.Venkata , Dana Siddu Shivaraj ,   P.G Student, Highway Technology Department VTU PG Center, Regional Office Kalaburagi, Karnataka,India., Pallavi K.Yuva ,   Ph.D Research Scholar, JNTUA, Anantapuramu, Andhra Pradesh, India.
Published: November 2019

Pervious concrete can be noticed as a gap-graded concrete. This type of concrete treats a new way to control or manage of storm water. The pervious concrete is important to address bionomical issues and confirmable growth. In beside, demand for aggregate to producing concrete is still high while natural resources are reducing. In this connection at attempts has been made for utilization of recycled aggregate in the concrete mix, by replace the natural coarse aggregate in the ratio of 0, 25, 50, 75 and 100%. To obtain the behavior of pervious concrete compressive, split and bearing strength are evaluated. In the addition to those strengths, coefficient of permeability also found. In this experimental work total five mixes are taken to evaluate strengths. A regression model has developed to assess the split tensile strength and ANSYS software has been used to know the stress and strain variation for the cube specimens. From experimental work, it is noticed that, the pervious concrete with recycled aggregate is viable for pavement works.
Rain Fall Prediction using Data Mining Techniques with Modernistic Schemes and Well-Formed Ideas
Authors:   Research Scholar, Department of Computer Science and Applications, MD University, Rohtak, India., Sharma* Deepak , Sharma Dr. Priti ,   Assistant Professor, Department of Computer Science and Applications, MD University, Rohtak, India.
Published: November 2019

Weather forecasting is essential because it helps to deal with the environment related future anomalies. Accurate and timely predications can contribute largely for taking safety measures in the ongoing projects such as agriculture tasks, flight operations, transportation tasks and many others. There are large number of meteorologist all over the world who are trying their level best to predict the aspects of environment using data mining techniques. This paper contains some of the best work done in rain fall prediction using data mining techniques. This paper helps the researchers to study the literature of this field in a crisp, summarized and encapsulated way.
IoT Based Horn Control and Oil Purity Monitoring System in Vehicles
Authors:   Assistant Professor, R.M.K. Engineering College, Chennai, Tamil Nadu, India., Jeevitha* Ms.K. , Iyswariya Ms.A. ,   Assistant Professor, R.M.K. Engineering College, Chennai, Tamil Nadu, India., Ramkumar Mr.V. ,   Assistant Professor, R.M.K. Engineering College, Chennai, Tamil Nadu, India., Kumar Mr.V.Praveen ,   Senior Engineer, Nagman Instrumentation and Electronics Pvt. Ltd, Chennai, Tamil Nadu, India.
Published: November 2019

Nowadays, we use intelligent devices in every part of our lives mainly in automobiles. Horn is one of the important parts of the vehicle but at the same time, it creates excess noise to the surroundings. To use it wisely, we have restricted the number of the horn to be pressed. The driver can only use a certain number of horns per hour. If the horn exceeds, then fine will be charged from the concerned and also the duration of the horn is limited. During the emergency time, the fine amount is relaxed. To make sure we use a camera which will closely watch the situation of the person. The cautions will be given to the driver through the help of LCD display and speaker. If the additional cost is not paid then the car will be locked automatically by blocking the engine so after paying the charge it will be released. This all details will be uploaded in both companies as well as in the government's server. One more feature is, a sensor will be used to sense the purity of the oil and will be updated in the server for the change of oil.
An Exploration on Privacy Concerned Secured Data Sharing Techniques in Cloud
Authors:   Research Scholar., KLEF, Vaddeswaram, AP, India., Reddy* P Raja Sekhar , Ravindranadh K ,   CSE, KLEF, Vaddeswaram, AP, India.
Published: November 2019

Cloud service is the most popular environment utilized by millions of users for different kind of service utilization. Cloud services needs to be provided with the concern of satisfying user requirements to increase their popularity level. The main issues associated with cloud service handling are maintaining integrity of data, user management, secured data transmission and so on. These issues are addressed by various authors by introducing the different methodologies. In this analysis work, discussion about those research techniques has been given with the detailed explanation. This paper provides the overview about the different research techniques whose main goal is to achieve the increase the data integrity level of the shared data. This paper also provides the discussion about various dynamic grouping techniques which tends to provide more flexible access to the user revocation. Different research techniques proposed by various authors has been described and compared their performance in terms of merits and demerits each research technique. The overall evaluation of the research technique is done based on numerical outcome present in each research technique and best research technique has been found
Present State-of-The-ART of Dynamic Association Rule Mining Algorithms
Authors:   Department of CSE, Vaagdevi college of Engineering, Warangal ,India., Satyavathi* N. , Rama Dr.B. ,   Department of Computer Science, Kakatiya University,Warangal, India., Nagaraju Dr.A. ,   Department of Computer Science, School of Mathematics, Statistics and Computational Science,Central University of Rajasthan, Ajmer, India.
Published: November 2019

Association Rule Mining (ARM) is a data mining approach for discovering rules that reveal latent associations among persisted entity sets. ARM has many significant applications in the real world such as finding interesting incidents, analyzing stock market data and discovering hidden relationships in healthcare data to mention few. Many algorithms that are efficient to mine association rules are found in the existing literature, apriori-based and Pattern-Growth. Comprehensive understanding of them helps data mining community and its stakeholders to make expert decisions. Dynamic update of association rules that have been discovered already is very challenging due to the fact that the changes are arbitrary and heterogeneous in the kind of operations. When new instances are added to existing dataset that has been subjected to ARM, only those instances are to be used in order to go for incremental mining of rules instead of considering the whole dataset again. Recently some algorithms were developed by researchers especially to achieve incremental ARM. They are broadly grouped into Apriori-based and Pattern-Growth. This paper provides review of Apriori-based and Pattern-Growth techniques that support incremental ARM.
Disruptive Technology Enabled Healthcare 4.0 Model for Lesion Identification with Reduced Latency
Authors:   Ph.D, Department of Electronics and Communication Engineering, Amity University, Lucknow Campus, Uttar Pradesh, India., Tiwari* Kumud , Kumar Sachin ,   Assistant Professor in Department of Electronics & Communication, Amity University, Lucknow Campus, Uttar Pradesh, India., Tiwari R.K. ,   Professor, Department of Physics and Electronics, Dr. RML Avadh University, Faizabad, Uttar Pradesh, India.
Published: November 2019

Advancement and innovations in technology have resulted in ease of accessibility and availability of resources, resulting in an increased liability on health-care services. However, the application of healthcare services in rural and undeveloped areas remains a foremost challenge, despite the investments made, largely due to unreliable communication infrastructures. Machine learning (ML) has witnessed a terrific amount of attention over the last few years in the field of medical imaging research for the lesion detection through a biomedical application such as Magnetic Resonance Images (MRI), CT scan, X-rays and Ultrasound etc. Normally, an MRI or CT scan are used by the experts to produce images of the soft tissue of the human body. Early detection of the lesion is a crucial part of follow-up care after completion of primary treatment. The goal is to reduce the mortality rate by early detection and treating the disease while it is still curable assuming a more effective salvage surgery and treatment. This paper presents a comprehensive review of the automated classification learning algorithms to identify lesion; indicates how learning algorithms have been applied to biomedical applications from data acquisition to image retrieval and from segmentation to disease prediction. This paper provides a brief overview of recent innovations and challenges associated with learning algorithms applied to medical image processing and analysis. Lastly, the paper concludes with a concise discussion and tries to predict direction for upcoming trends on more advanced research studies on lesion detection.
Performance Parameters in FDM 3D Printed Parts
Authors:   Dept. of Mechanical Engineering, Chandigarh University, Chandigarh, India., Singh* Lovepreet , Gill Harjot ,   Dept. of Mechanical Engineering, Chandigarh University, Chandigarh, India.
Published: November 2019

Rapid changes and evolutionary market has demanded the new ways of production such as adaptive manufacturing techniques. In this research work different response characteristics such as ultimate tensile strength, surface roughness and energy consumed have been investigated from the work piece fabricated using of three dimensional printing. Taguchi based L27 orthogonal array was used to carry out the investigation study using Minitab software. From experimental investigation it has been depicted that layer resolution is the most significant parameter.
Experimental Analysis of Mechanical Properties, Wear and Corrosion Characteristics of IS500/7 Grade Ductile Iron Casting
Authors:   Associate Professor, Mechanical Engg. Deptt. VCE, Rohtak, Haryana, India., Agrawal* Mr. Mohit Kumar , Kumar Dr. Vineet ,   Dean (Faculty of Engineering & Technology, MDU, Rohtak) , Professor, Mechanical, UIET, MDU, Rohtak, Haryana, India.
Published: November 2019

In the present research investigation, ductile iron castings conforming to IS500/7 grade casting were produced using green sand moulds. The castings were produced in a regular production foundry using 1.25T Induction Furnace. The molten metal was subjected to standard desulphurisation and modularisation to get graphite in the nodular form. Based on the earlier investigation by the above group the castings were austenitised at 900oC for 120minutes and quenched in a salt bath consisting of potassium nitrate and sodium nitratein the ratio of 55:45 and maintained at 310oC for 120 minutes to bring about austempering treatment. The result in austempered ductile iron will consist of graphite nodules in a matrix of bainite[1,2]. The effect of austempering heat treatment on microstructure, mechanical properties[13,14] andwear characteristics were studied and compared with the as-cast condition. Mechanical properties such as ultimate tensile strength, % elongation, hardness and impact strength were determined. Wear tests were carried out to determine the weight loss of specimens; using pin on disc type machine. Wear test was held for different loads viz. 300 gm, 400 gm and 500 gm and different speeds conditions viz. 950 r.p.m, 1430 r.p.m and 2130 r.p.m. Corrosion tests were carried out to determine corrosion rate at different viz. 35°C & 45°C temperature for increasing duration viz. 2 hours to 24 hours. The results of the research investigation indicate that the heat treated castings shows higher Ultimate Tensile Setength values (54.86% increase), elongation values (64.32% increase) and Brinell hardness values (19.03% increases) as compared to the ascast condition of casting. From the dry sliding wear studies, it is seen that heat treated specimen’s shows higher resistance to wear compared to the ascast specimens and corrosion rate & weight loss due to corrosion in heat treated condition is less compared to ascast ones.
Compositional Effect of Barium Ions (Ba2+) on Ultrasonic, Structural and Thermal Properties of LeadBorate Glasses
Authors:   PG and Research Department of Physics, Thiru Kolanjiappar Govt. Arts College, Virddhachalam, Tamil Nadu, India., Pavai* R. Ezhil , Sangeetha P. ,   Department of Physics, Annamalai University, Annamalai Nagar, Tamil Nadu, India., Balu L. ,   PG and Research Department of Physics, Govt. Arts College, C. Mutlur, Tamil Nadu, India.
Published: November 2019

Glasses of the formula 68B2O3-(32-x)PbO-xBaO (0≤ x ≤ 12) were synthesized by standard melt quench technique and investigated their properties using XRD, ultrasonic, FT-IR and DTA studies. No sharp peaks are existing in the XRD spectra and the broad halo appeared around 2θ≈30o, which reflects the characteristics of amorphous nature. Density decreases due to the replacement of higher molar mass by lower molar mass. The ultrasonic velocity varies with the gradual substitutions of barium ions in leadborate host glass matrix. The variations in elastic moduli such as L, G, K and E), Poisson’ sratio(), acoustic impedance(Z), microhardness (H) and Debye temperature (θD)were observed which resulted in compact glasses. The functional groups of prepared glasses were studied by FTIR analysis and BO4 structural units enhanced with decreasing BO3 structural units. Characteristic temperatures of DTA increase because of the higher bond strength of barium ions and also strength of the glasses.
Pregnancy Leave Wages Compensation based on Data Mining: Clients of Iran’s Social Security Organization
Authors:   Department of Computer Engineering, Velayat University, Iranshahr, Iran., Rajaei* Amir , Sedighie Mahshid ,   Department of Computer Engineering, Velayat University, Iranshahr, Iran.
Published: November 2019

Data mining is an interdisciplinary science which exploits different methods including statistics, pattern recognition, machine learning, and database to extract the knowledge hidden in huge datasets. In this paper, we sought to develop a model for paying pregnancy period wages compensation to the Social Security Organization (SSO) clients by using data mining techniques. The SSO is a public insurance organization, the main mission of which is to cover the stipendiary workers (mandatory) and self-employed people (optional). In order to develop the proposed model, 5931 samples were selected randomly from 11504 clients. Then the K-Means clustering algorithm was employed to divide data into cluster 1, consisting of 2732 samples, and cluster 2, consisting of 3199 samples. In each cluster, the data were divided into training and test sets with a ratio of 90 to 10. Then a multi-layer perceptron neural network was trained separately for each cluster. This paper utilized the MLP network model. The tanh transfer function was used as the activation function in the hidden activation layer. Numerous tests were conducted to develop the best neural network structure with the lowest error rate. It consisted of two hidden layers. There were 5 neurons in the first layer and 4 neurons in the second. Therefore, the neural network structure was in the 5-4-1 format. Finally, the best model was selected by using the error evaluation method. The MAPE and R2 criteria were employed to evaluate the proposed model. Regarding the test data, the result was 0.96 for cluster 1 and 0.95 for cluster 2. The proposed method produced a lower error rate than the other existing models.
K- Means Based Probabilistic Neural Network (KPNN) For Designing Physical Machine – Classifier
Authors:   Assistant Professor, School of Computing, SASTRA Deemed University, Thanjavur, India., Subramanian* N.Venkata , Saravanan N. ,   Assistant Professor, School of Computing, SASTRA Deemed University, Thanjavur, India., Bhuvaneswari S. ,   QET Engineer, TCS, Chennai, Thoraipakkam, Chennai, India.
Published: November 2019

Cloud Computing necessitates virtual machines that can deploy users to a machine in a sub-optimal fashion for effective and maximum utilization of resources conserving overall energy within the specified duration. PNN is an effective probabilistic classifier which has been applied for a wide variety of computer application problems. However, for big data applications, we need either pre-processing algorithms for efficient classification with lower computing time or Mathematical tracking operators to speed up a parametric approach. This paper focuses to combine the traditional K means algorithm and a PNN to process the data obtained from Google cluster to classify them into pre-specified groups so as to implement PM classifier design to monitor the Cloud usage pattern. It is found after validation of KPNN with different data sets that KPNN works better than PNN in terms of accuracy even when the number of classes increases and turns out to be a computationally attractive tool.
Application of Good Corporate Governance Principles in Public Regional Hospital of Haji, Makassar
Authors:   Doctoral Program Student of Faculty of Public Health, Universitas Hasanuddin, Makassar Indonesia & Lecturer in Faculty of Public Health, Moeslim University of Indonesia Makassar, Indonesia, Rusydi Arni Rizqiani , Palutturi Sukri ,   Professor, Department of Health Policy and Administration Faculty of Public Health, Universitas Hasanuddin, Noor Noer Bahry ,   Senior Lecturer in Department of Hospital Management Faculty of Public Health, Universitas Hasanuddin Makassar, Indonesia, Pasinringi Syahrir A. ,   Senior Lecturer in Department of Hospital Management Faculty of Public Health, Universitas Hasanuddin Makassar, Indonesia, Multazam Andi ,   Lecturer in Faculty of Public Health, Moeslim University of Indonesia Makassar, Indonesia, Zuardin  ,   Faculty of Psychology and Health Sciences, UIN Sunan Ampel Surabaya, Indonesia, Wiranto Andriana ,   Moeslim University of Indonesia Makassar, Indonesia, Yani Ahmad ,   Department of Health Promotion, Faculty of Public Health Universitas Muhammadiyah Palu, Indonesia
Published: November 2019

The newest development proves that hospital management is not sufficient to ensure that hospital management is efficient. A new instrument is needed to be called Good Corporate Governance to ensure that hospital management is implemented well. Public Regional Hospital of Haji is state-owned hospital type B. This hospital applied Hospital By-law, which is the internal regulation compiled in implementing Good Corporate Governance in a hospital. To analyze the application of Good Corporate Governance principals in RSUD Haji Makassar. This research is quantitative research through descriptive approach. Samples used are all staffs involved in organization structure of RSUD Haji Makassar, as many as 61 people. Sampling used was exhaustive sampling. Data collection was performed using questionnaire, completed with secondary data in the forms of hospital document and literature review. The research data was processed and analyzed using SPSS software. Transparency principle indicated that 47 people (76.48%) from the total respondents of 61 people obtained positive value. Accountability showed that 50 people (82.38%) from the total respondents of 61 people stated positive value, while in the fairness principle, most of the respondents, as many as 45 people (70.81) people also stated positive value. GCG principles have been applied well in RSUD Haji Makassar. The Good Corporate Governance needs to be maintained in order to increase the performance of RSUD Haji Makassar. There were still big intervention in this hospital, making the independency principal in this research could not be reviewed in depth.
Control System for Smart Traffic Signal using LTE, GPS, RFID for Ambulance
Authors:   Professor, Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India., Jagadeesan* Dr. J. , Azhagiri M ,   Assistant Professor, Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India., RP Maheshraj ,   Student, Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India., B Sanjay ,   Student, Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India., Srikanth T ,   Student, Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Chennai, India.
Published: November 2019

Nowadays, Ambulance services are the most affected by the Traffic Jams. This can threaten the health state of the person within the ambulance. It can be resolved by using the Control System for Smart Traffic Signal using LTE, GPS, RFID for Ambulance. This system creates a connection between the ambulance and the traffic signal. So, as to assist the ambulance for a stop free travel to the destination. This system uses Radio Frequency Identification (RFID), Global Positioning System (GPS), Long Term Evolution (LTE) as its key components to implement the control system. The GPS helps in live tracking the ambulance movement in order to change the traffic signal only when the ambulance is nearby the traffic signal. Once the GPS confirms the ambulance is nearing a traffic signal, the cloud instructs the change in traffic signal’s mode and the ambulance’s lane is granted green signal. Once, the ambulance crosses the signal, it reverts back to its original flow. The RFID tag assists in confirming the passage of ambulance from the traffic signal. Also, this method warns the upcoming signal and changes their signal time based on factors such as ambulance speed, distance and expected arrival time which helps in clearing out the traffic in advance. This is continued until the ambulance reaches its destination hospital. All these processes happen without any human intervention.
An Adaptive Secret QR Code Message Passing Method Using Video Steganography
Authors:   Research Scholar, Computer Science and Engineering, Vinayaka Missions Research Foundation, Salem, India., Dcouth* Jeswin Roy , Jaichandran Dr. R ,   Computer Science and Engineering, AVIT, Vinayaka Missions Research Foundation, Chennai, India
Published: November 2019

Steganography is covert communication between the sender and the intended receiver with no evidence to the outer world that the communication has happened. The paper proposes an multi-layer protection approach in steganography to adaptively embed the message in the cover medium and exploit the efficiency of the Diffie-Hellman key exchange method to be passed on to a secure channel and to be extract the secret data without being detected. Hence the proposed system has a shade of hybrid crypto stego scehme. The study proposes a new and adaptive steganography method that provides multiple layers of security and adaptiveness in passing secret data which emphasizes on Imperceptibly and robustness.
Dual Band Wearable Antenna for IOT Applications
Authors:   Assistant Professor, Department of Electronics & Communication Engineering in Rustamji Institute of Technology, Gwalior, India., Kumar* Devendra , Mathur Dr Dhirendra ,   Head, Center of Nanotechnology and Dean Research, RTU Kota, Rajasthan, India.
Published: November 2019

A dual band wearable antenna operating on 2.6 GHz (2570-2620 MHz FDD/TDD) and 5.2 GHz (802.11a) bands for Body Area Network (BAN) application is presented. The stack substrates of Felt and ethylene-vinyl acetate (EVA) foam are used to make the structure flexible. Maximum gain of 2.75 and front to back ratio of 8.35 is achieved on industrial scientific and medical (ISM) band. Additional bandwidth enhancement has been achieved by creating slots on partial ground plane. The calculated specific absorption rate (SAR) value is 1.33 W/kg for 1 g of body tissue. Simulated and measured results are presented for the proposed structure.
Design and Analysis of Sierpinski Carpet Fractal Antenna for UHF Spaced Antenna Wind Profiler Radar
Authors:   Department of Electronics and Communication Engineering, S. V. University College of Engineering, Tirupati,A.P ,India, Jayapal* Elluru , Varadarajan S. ,   Professor, Department of Electronics and Communication Engineering, S. V. University College of Engineering, Tirupati, A.P, India.
Published: November 2019

This paper emphasizes the design of Sierpinski carpet fractal antenna to miniaturize the antenna array of UHF Spaced antenna Wind profiler radar that operates at 445 MHz. The proposed antenna is designed using High Frequency Structure Simulator (HFSS) where aluminium is used as a patch and ground with air as dielectric substrate due to it’s zero loss tangent .patch is separated from ground with help of hinges and fed with 50 ohm coaxial probe. The Sierpinski fractal antenna is designed till third iteration so as to reduce its size and weight by 33 percent.
Robotic Model for Unmanned Crack and Corrosion Inspection
Authors:   Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Papua New Guinea., Oyekola Peter , Mohamed* Aezeden ,   Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Papua New Guinea., Pumwa John ,   Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Papua New Guinea.
Published: November 2019

After prolonged usage of materials, the formation of cracks and corrosion initiates due to stress, loading condition, the environment of operation, etc. and this affects the structural integrity of structures. Periodic inspection of structures is usually planned, especially in industries where the impact of failure could be devastating, such as oil and gas pipelines, storage tanks, vessels, and airplanes, etc. which are just a few amongst others. This inspection is often aimed at detecting cracks and corrosion of internal and external components using several forms of non-destructive testing mechanism usually performed by a specialist at a high rate. To reduce the cost of inspection as well as downtime due to inspections and maintenance, deployments of mobile robots with fault tracking and identification purpose are steadily increasing. This paper, therefore, details the implementation of an image processing technique using MATLAB to identify defects of structural elements.
An Authentication Scheme for an IoT Environment using Advanced Multiple Encryption System
Authors:   Department of Computer Science and Engineering, Periyar Maniammai Institute of Science & Technology, Thanjavur, India., Sundarrajan* M. , Narayanan A.E. ,   Department of Computer Science and Engineering, Periyar Maniammai Institute of Science & Technology, Thanjavur, India.
Published: November 2019

Internet of Things (IoT) has become one of the most important fields of research as it plays a vital role in performing an assigned task with various smart devices. These connected devices work together to achieve a common goal. Numerous researchers have been working in various sectors of IoT for obtaining a betterment in the entire function of an IoT environment. Securing the data being transmitted or stored in these smart devices in one of the major fields of research. Some of the security challenges faced in an IoT environment are in the areas of user authentication, user privacy, access control, information confidentiality, trust, mobile security and policy enforcement. To overcome all these challenges. In this paper, we have proposed a system called AMES (Advanced Multiple Encryption System) which also secures the overall communication of the network. The paper briefs an overview of an IoT environment, consisting of some hackers where the user connection with the controller is blocked without the presence of integrity and confidentiality. The paper also discusses the various security benefits of RSA and SHA. The proposed AMES system is based on Hardy Wall Algorithm and MQTT protocol. The differentiation of the proposed protocol and HTTP protocol is stated clearly The experimental results are obtained for the proposed authentication scheme using NS3 simulator by showing the comparison between existing hybrid security system with our proposed authentication system. The results also state that the designed AMES authentication system using MQTT protocol can minimize the level of security threats and other complications in transmission of the data in IoT environment.
Clout of Colours on Consumer Food Choices
Authors:   DOMS, SRMIST, Chennai, India., V* Kiruthiga.
Published: November 2019

Colour is a phenomenon that is stimulated by light. It is considered as a source of information. Generally it has been observed that 62-90 per cent of the assessment of people or object is through colour, as it paves way in making judgment within 90 seconds. Product colours not only help in differentiating it from the competitors but also in influencing the people mood in a positive and negative aspect. Colour plays a major role in influencing people emotion and mood because generally the mood of people is unstable. Colour helps in influencing the attitude of the customers. Marketers should select the right colour as it results in enormous sales. The consumer behavior is dynamic and although many factors influence the food choices, colour also plays a crucial role in influencing the purchase. The study was conducted to study the impact of colour on the food choices of people across the Chennai city. Primary data was collected through questionnaire and analysed using statistical tool. Results indicate that colour helps identifying the flavor of the food correctly.
Contextualization using Context-Aware Publish and Subscribe (CAPS) based on IoT
Authors:   School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India., K Deeba , Saravanaguru* RA.K. ,   School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India.
Published: November 2019

The Internet of Things (IoT) activates massive data flow in the real world. Each computer can presently be linked to the internet and supply useful decision-making information. Virtually sensors are implemented in every aspect of life. From different sources of sensors can produce raw data. Due to the various data sources, the method of extracting information from the flow of data is mostly complicated, networks inadequate and criteria for real-time processing. In addition, an issue of context-aware data processing and architecture also present, despite the fact that they are essential criteria for stronger IoT structure. In order to meet this issue, we recommend a Context-aware Internet of Things Middleware (CAIM) architecture. This enables the incorporation of highly diverse IoT application context information by using light weigh protocol MQTT (Message Queue Telemetry Transport) for transmitting basic data streams from sensors to middleware and applications. In this paper, we propose a contextualization which means that obtain data from sensors of different sources. First have to create a context profile with the help of context type like user, activity, physical, and environment context. Then also is create a profile by using attributes. Finally, raw data can be change into contextualized data through CAPS (context-aware Publish-Subscribe) hybrid approach. This paper discusses the current context analysis strategies that use either rational models or probabilistic methods exclusively. The evaluation of identifying contextualization methods shows the shortcomings of IoT sensor data processing as well as offers alternative ways of identifying the context
Utilizing Of Wastewater and Biomass Generated In Jordanian Sewage Treatment Plants
Authors:   Civil Engineering Department – Faculty of Engineering - Middle East University. Amman, Jordan, Awad* Aymen
Published: November 2019

This paper aims to produce and transfer data to a decision-maker so as to help within the creation of correct property sewer water biosolids management and utilization in Jordan. Jordan has around 31 wastewater treatment plants with annual total capacity of 350 Mm3. The deficiency of water demand in the country could be reduced by treating this quantity of wastewater. Treatment will produce a total amount of sludge waste around 20000 tons annually. Wastewater sludge could be utilized in different usages such as; biogas production (methane gas), organic fertilizers, additives in material construction and other applications. Considering these amounts of reclaimed water and biomass produced, they require an extremely high budget to operate different equipment to treat wastewater, utilize the sludge and finally to dispose of residual in landfills. This study will provide and help to adopt best practice technologies (BPT) and related techniques to generate energy from sludge in different wastewater treatment plants efficiently and economically while taking environmental impacts into consideration. It is concluded that the high percentage of the energy can be produced and reused, while the transportation cost and the disposal cost of the unwanted sludge will be reduced. A total amount of reclaimed water of 240-260 Mm3 may be achieved by 2025, while daily electricity of 57128804 kWh will be generated from wastewater sludge. Wastewater utilization and management will reduce the environmental pollutions as well as providing economic value for the waste material as well. The results of suggested techniques and methodology for utilizing wastewater and sludge in this study will save about 10,683,086 JOD /Year ( 15 million $/Year).
583 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number A4437119119/2019©BEIESP DOI: 10.35940/ijitee.A4437.119119 Journal Website: www.ijitee.org Fake Account Detection using Machine Learning and Data Science
Authors:   Assistant Professor, SRM Institute of Science and Technology, Chennai, India., Maniraj* S. P. , Krishnan G Harie ,   UG Scholar, SRM Institute of Science and Technology, Chennai, India., T Surya ,   UG Scholar SRM Institute of Science and Technology, Chennai, India., R Pranav ,   UG Scholar SRM Institute of Science and Technology, Chennai, India.
Published: November 2019

Nowadays, Online Social Media is dominating the world in several ways. Day by day the number of users using social media is increasing drastically. The main advantage of online social media is that we can connect to people easily and communicate with them in a better way. This provided a new way of a potential attack, such as fake identity, false information, etc. A recent survey suggest that the number of accounts present in the social media is much greater than the users using it. This suggest that fake accounts have been increased in the recent years. Online social media providers face difficulty in identifying these fake accounts. The need for identifying these fake accounts is that social media is flooded with false information, advertisements, etc. Traditional methods cannot distinguish between real and fake accounts efficiently. Improvement in fake account creation made the previous works outdated. The new models created used different approaches such as automatic posts or comments, spreading false information or spam with advertisements to identify fake accounts. Due to the increase in the creation of the fake accounts different algorithms with different attributes are use. Previously use algorithms like naïve bayes, support vector machine, random forest has become inefficient in finding the fake accounts. In this research, we came up with an innovative method to identify fake accounts. We used gradient boosting algorithm with decision tree containing three attributes. Those attributes are spam commenting, artificial activity and engagement rate. We combined Machine learning and Data Science to accurately predict fake accounts.
ICONS: a Mobile Application for Introduction Culture of North Sulawesi
Authors:   Department of English Education, Universitas Negeri Manado, Tondano, Indonesia,, Mogea* Tini , Joshua Salaki Reynaldo ,   Department of Informatics Engineering, Universitas Sam Ratulangi, Manado, Indonesia
Published: November 2019

Indonesia has a very artistic and cultural diversity. Currently the lack of knowledge about the culture and art of their own country is an issue that is being experienced. Now the lack of means of support in getting information about Indonesian art and culture, thereby lowering the curiosity about the culture and art of Indonesia itself. North Sulawesi is a province in Sulawesi islands where lies the province on the northern tip of Sulawesi island directly adjacent to the Philippines Country. North Sulawesi as an area that has a lot of cultural diversity begins from historic sites, traditional houses, traditional clothing, to the beautiful tourism place in North Sulawesi. With provided a means of education in the information provider will provide a media to share information about the culture in North Sulawesi. Therefore, it is necessary to develop applications Introduction to Cultural North Sulawesi, which is the application of information systems to the concept mobile based application that is expected to attract interest in giving and receiving information about the cultures that exist in North Sulawesi. In the development of this application using methods developed Multimedia Development Life Cycle (MDLC) which starts from the concept phase to the distribution phase.
Tradition in the Architecture of Wooden Churches in the South Urals
Authors:   Scientific-Research, Institute of Architecture and Urban Planning Theory and History, Russia., Ponomarenko Elena Vladimirovna
Published: November 2019

The subject of this paper seems to be important due to the ever-increasing interest in architectural traditions of Russia’s regions. The purpose of the article is to identify the characteristic features of the architecture of modern wooden temples in the territory of the South Urals. The key approach I chose for this study was historical architectural analysis and integration of data from archives and field surveys. A novel systematic analysis of the evolution of church design in the region since ancient times till nowadays is offered. For the first time, a study is made of churches building based on ‘model church design projects for Orenburg the Orenburg defence lines’ and exemplary albums. Descriptions and analyses of the region’s lesser known little known specimen of religious architecture are introduced for the scientific use based on the author’s own in situ investigations. Many archival materials from Russia's central and regional repositories are considered and published at for the first time. Key properties of modern region Eastern Orthodox churches built in different architecture styles are formulated and classified.
A New Plug in EV Strategy for Mitigation of Power Variations in Distribution systems
Authors:   Assistant Professor, Department of Electrical and Electronics Engineering, S V Engineering College, Tirupati, India., Ramalingeswar* J T , Subramanian K. ,   Associate Professor, Department of Power Electronics and Drives Division, School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India.
Published: November 2019

Increasing penetration levels of renewable energy sources in electrical grid distribution systems causes raped power variations drawing from the penetration levels variation in electrical vehicle charging creates the problem in the unity grid. In this paper a new artificial intelligence control technique is introduced in electrical vehicles in order to reduce the power variations caused by the solar power and high low demand. The fluctuations in electrical vehicle scheduling with energy storage has been studied the main effort is the minimizing of power variations in slack bus from the specified value and high utilization storage capability. Energy forecasting and renewable power generation are major considerations in electrical vehicle scheduling. The fuzzy technique is used to define power storage rate of electrical vehicles. Buttery life time was taken as key aspect and parameters that cause buttery degradation are considered while prioritizing PEVs for grid support. However, primary purpose of PEV (to travel) is given highest priority by ensuring maximum energy level before starting a trip.
Technological Needs of Farm Women in Varied Farming Systems of Tamil Nadu.
Authors:   Department of Agricultural Extension, Faculty of Agriculture, Annamalai University, Chidambaram, Tamil Nadu, India., Vengatesan* Dr. D. , Govind Dr. Santha ,   Department of Agricultural Extension, Faculty of Agriculture, Annamalai University, Chidambaram, Tamil Nadu, India., Dr. Ramesh  ,   Department of Agricultural Extension, Faculty of Agriculture, Annamalai University, Chidambaram, Tamil Nadu, India., Kavaskar Dr. M. ,   Department of Agricultural Extension, Faculty of Agriculture, Annamalai University, Chidambaram, Tamil Nadu, India., Kalidasan Dr. T. ,   Department of Agricultural Extension, Faculty of Agriculture, Annamalai University, Chidambaram, Tamil Nadu, India.
Published: November 2019

Technological base for improving productivity and income of the rural population in the field of agriculture has broadened with the success of Green revolution. As a result of this research and transfer of technology programmes, the national production has increased over time in the decades, thus balancing the population growth and food production of our country. There is a serious and valid criticism that the modern technologies served only male farmers and not the resource poor small farm women who account for nearly 89.00 per cent of the women farmers. It has now been realised that participation of all sections of the farming community in particular the farm women, can be brought by developing appropriate technologies, keeping other issues of stability, sustainability, equity and productivity. The study was taken up in three districts of Tamil Nadu viz., Nagapattinam, Cuddalore and Perambalur districts comprising of maximum area under three different farming systems viz., wet land, garden land and dry land respectively. The respondent of 60 small farm women was selected from each of the selected farming systems by using proportionate random sampling technique. The technological needs of small farm women in farm operations were measured with the help of a specially constructed schedule, which was prepared by discussing with experts. The collected data were tabulated and analysed using statistical tools viz., percentage analysis, mean and analysis of variance. The majority of the farm women expressed high level of technological need in dairy farming, goat rearing and poultry farming with the overall mean score (2.752, 2.554 and 2.516) respectively.