bluuebunny/crossref_metadata_2025 huggingface dataset:
On The Possibility of Improving the Reliability of Communication in Fiber Optic Systems with Spectral Compaction
Authors:   Doctoral Department of Telecommunications Engineering, Urgench branch of Tashkent University of Information Technologies named After Muhammad al-Khwarizmi., Matyoqubovich Masharipov Otoboy
Published: March 2020

In the article, the authors present a concrete example of a block diagram of a signal transmission device at WDM. Operation of this device with the representation of plots of pulse diagram of operation at standard characteristics of services and evaluation of their quality indicators depending on the fault tolerance in the whole system under study. Recommendations for practical use in various types of network topology are given. Spectral compaction technologies such as CWDM, DWDM, HDWDM, principles of construction of these technologies, as well as advantages and disadvantages are considered. The functional schemes of the signal transmission device and the functional scheme of the optical transceiver and the principle of operation of these devices are given. The frequency plan for CWDM systems is defined by ITU G. 694.2. The scope of CWDM technology is urban networks with a distance of up to 50 km. The advantage of this type of WDM systems is low (compared to other types) the cost of equipment due to lower requirements for the constituent equipment of the fiber optic network. The frequency plan for DWDM systems is defined by ITU G. 694.1. The field of application — backbone network. This kind of WDM systems has higher requirements for components than CWDM (radiation source spectrum width, source temperature stabilization, etc.). The impetus for the rapid development of DWDM networks was given by the appearance of inexpensive and efficient fiber erbium amplifiers (EDFA) operating in the range from 1525 to 1565 nm (the third window of transparency of quartz fiber). For simplicity, the model is limited to a frequency plan DWDM with a step of 100 GHz, and CWDM has eight main channels in the range of 1470-1610 nm. The calculations of reliability indicators of the basic version and the modified version of the signal transmission device are given.
An Implementation of Genetic Algorithms in Big Data Processing for Medical Data
Authors:   Research Scholar, Department of Computer Science & Engineering, Annamalai University, TN, India., Renukadevi G. , Selvakumar K ,   Department of Information Technology, Annamalai University, TN, India., Tamilarasan S. ,   Department of Computer Science, Bharathiar University, TN, India, Venkatakrishnan S. ,   Department of Computer Science, Annamalai University, TN, India.
Published: March 2020

The large amount of real time medical measurement parameters stored in the SQL server needs processing using a specific algorithm. One of the big data processing techniques is available for medical data is Genetic algorithm. The acquired medical parameters are combined together to predict or diagnose the disease using the genetic algorithm. In this paper, the genetic algorithm is used to process the medical measurements data. The medical parameters are posted temporarily in the Representational Structure (REST) Application Program Interface (API) using a gateway protocol MQTT. The genetic algorithm can easily diagnose the disease using the existing stored parameters. The medical parameters of the patient like ECG, Blood pressure and skin temperature are posted frequently in the cloud server for continuous monitoring, and the huge data is also processed using this proposed method.
Student Reminder Android Based System
Authors:   Associate Professor, Sharad Institute of Technology College of Engineering, Ichalkaranji, Kolhapur, Maharashtra, India, Turukmane Anil V.
Published: March 2020

Now a day’s usage of android applications has become a part of our life. By using these applications our work becomes simple and easier in our day to day activities. This paper suggests an android application which is generally useful for the students and parents. It contains various features like notifying the student about the renewal date of library books, alerting students and their parents about the percentage of attendance and reminds them about number of classes they should present to maintain the specified attendance threshold. This application also alerts the students and parents about various events like examinations, workshops to be held, student activities to be conducted etc. This application is user friendly and can be installed in any android smart phone.
A Suggested Module for Risk Framework of Water Control Construction Projects using Qualitative and Quantitative Techniques
Authors:   Ph.D. Student of Irrigation and Hydraulics Engineering Department / Faculty of Engineering – Ain Shams University, Cairo, Egypt., Mohamed Omar , Nour Mohamed ,   Professor of Irrigation and Hydraulics Engineering Department / Faculty of Engineering – Ain Shams University, Cairo, Egypt., Elazizy Iman ,   Professor of Irrigation and Hydraulics Engineering Department / Faculty of Engineering – Ain Shams University, Cairo, Egypt., Hagras Mona ,   Associated Professor of Irrigation and Hydraulics Department /Faculty of Engineering – Ain Shams University, Cairo, Egypt.
Published: March 2020

Managing risk is an integral part of sound management and risk management helps to achieve projects objectives. Although the process of risk management is standardized to a great extent, risk control strategies depend on project circumstances and feature. One of the essential humanity’s challenges in the future, is surely ensuring water needs. Equitable and sustainable management of water resources is a major global challenge, and supply of clean fresh water is decreasing around all nations. Egypt is one of the countries hardest affected by climate change. Also challenges include population growth, increase in food demand and Lack of water and energy Leads to let managing risk for construction of water control structures projects on water streams in Egypt becomes more challenging and essential than ever before. Moreover, this study aims to show the effect of risk on cost and time targets for water control structure projects in Egypt .This study mainly identify a list of significant risk factors effecting on cost and time for these type of projects in Egypt through studying pervious publishing for risk management in construction projects and a questionnaire survey , then conducting a qualitative analysis using a Severity and Probability matrix (S/P matrix) techniques to assess the influence of risk factors and to isolate critical risk factors for a quantitative analysis. Finally, conducting a quantitative analysis by mean of Analytical Hierarchy Process (AHP) to determine the cost and time contingency, s the conclusion of this study shows that the cost contingency needed to account for the different critical risk factors is to increase the estimated cost by 12.35 % on the total estimated budget of the project. In addition that the time contingency needed to consider for different critical risk factors is to increase the scheduled time by 11.25% over the total originally scheduled of the project.
Major Hurdles of Cyber Security in 21st Century
Authors:   CSE Department, GITAM School of Technology, Bangalore, India., M Deepak D , S Bhavin Kumar ,   CSE Department, GITAM School of Technology, Bangalore, India, Lal Dayanand ,   CSE Department, GITAM School of Technology, Bangalore, India.
Published: March 2020

A digital assault is an attack propelled by cybercriminals utilizing at least one PCs against a solitary or numerous PCs or systems. A digital assault can perniciously handicap PCs, take information, or utilize a ruptured PC as a dispatch point for different assaults. Cybercriminals utilize an assortment of strategies, including malware, phishing, ransomware, refusal of administration, among different techniques. Albeit most government offices and significant enterprises have completely sent individual devices as data safety efforts, focuses of assaults have extended to incorporate, other than government foundations, basic frameworks and explicit ventures and partnerships, calling for increasingly powerful counter measures. In this paper we have discussed about Cyber Attack and its types, its initiated and a major cyber-attacks in 21st century.
Design and Implementation of a Smart House System with Voice Control
Authors:   Department of Automation of Power Processes and Systems Engineering, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Kyiv 03056, Ukraine, Konkina Nataliia
Published: March 2020

Smart House is an intelligent management system that integrates all equipment into a single complex. It solves various tasks in the field of security, life support, entertainment, and communication. This paper presents a complete design and implementation of a Smart House system with voice control, describes the hardware and software parts as well as the interaction between them. Voice control performed with simple instructions using Microsoft Speech Platform. Recognized commands will be encrypted on the software side and then will be sent via Bluetooth HC-06 module to the hardware side for execution. Among the developed features for the created prototype are lighting control, home temperature control, sleep mode control, the possibility of setting an alarm clock, security mode and gas leakage check. In case of problems, a user will receive a notification via email and/or SMS. Finally, this paper presents the results of experiments for voice control, which shows that voice control in Smart House is the next step in improving this intelligent system, is the next step in improving human-machine interaction and it provides great help for people with special needs and disabilities.
K Means Cluster Based Undersampling Ensemble for Imbalanced Data Classification
Authors:   Research Scholar, Madurai Kamaraj University, Madurai, Tamil Nadu, India,, Subbulaxmi S. Santha , Arumugam G. ,   Professor & Head, Department of (Retd.), Computer Science, Madurai Kamaraj University, Madurai, Tamil Nadu, India.
Published: March 2020

Imbalanced data classification is a critical and challenging problem in both data mining and machine learning. Imbalanced data classification problems present in many application areas like rare medical diagnosis, risk management, fault-detection, etc. The traditional classification algorithms yield poor results in imbalanced classification problems. In this paper, K-Means cluster based undersampling ensemble algorithm is proposed to solve the imbalanced data classification problem. The proposed method combines K-Means cluster based undersampling and boosting method. The experimental results show that the proposed algorithm outperforms the other sampling ensemble algorithms of previous studies.
Development of an Innovative Education System Mathematical Model
Authors:   Global Lab, LLC, Moscow, Russia., Tatiana Krupa
Published: March 2020

With the development of the scientific progress in the different spheres the countries all over the world need the highly educated and talented young people who will be able to develop the science and to achieve big results in it. Now, the major task of the educational system is to develop and implement such educational process that will allow achieving high academic results for the students and giving them the opportunity to find out at which sphere they will achieve the best results and for the teachers to find out the sphere of the lack of the knowledge. In the current article, there is given the way to develop the student mathematical model (as a subject of the learning trajectory). The model was developed with taking into account the external variables that reflected the students’ characteristics influencing on the learning process and getting the education. The usage of the student mathematical model for the individual education will allow reducing the expenditures for this kind of education and at the same time will give all the advantages of the individual studies. Also, the usage of the neural networks to study and predict the properties of the educational trajectory will provide the new and effective research methods in the field of learning theory.
Design of 10 Bit ADC of SAR Type to Increase the Accuracy for Biomedical Applications
Authors:   Research Scholar, Department of ECE,Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, A.P. India., Sajja Amrita , Rooban S. ,   Associate Professor, Department of ECE,Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, A.P. India
Published: March 2020

In this paper a low power consuming 10 bit SAR ADC which is suitable for Biomedical applications is presented. It was designed with 180nm technology using cadence tool. SAR ADC is made of dynamic comparator, sample and hold circuit, SAR logic, and DAC block. The designed circuit works on a supply voltage of 1V. The proposed SAR design, with the use of dynamic comparator circuit will help to reduce power and even at the same time with the use of binary weighted CDAC also provides low power dissipation. In order to decide the next significant bit by the knowledge of previous bits the successive approximation algorithm runs over several clock cycles for analog to digital conversion. Power usage and complexity of the circuit is minimized by low conversion rate i.e permitting one clock for each bit in the proposed method.
An Efficient Architecture of Vedic Multiplier using FinFet Based Pass Transistor Logic
Authors:   Professor and Head, Department of ECE, Hindusthan Institute of Technology, Coimbatore., Paulchamy B. , Kalpana K. ,   Research Scholar, Department of ECE, Hindusthan Institute of Technology, Coimbatore., Jaya J. ,   Principal, Akshaya College of Engineering and Technology, Coimbatore.
Published: March 2020

Multiplies is an important component in Digital Signal Processing (DSP) and communication systems. It is utilized in signal and image processing applications including convolution, Fast Fourier Transform (FFT) and correlation. Therefore, it is necessary to develop a multiplier with power efficient and speed to reduce the cost of the system. Vedic multiplier has been introduced to solve the problems of existing multiplier. It is based on 16 algorithms. These algorithms use algebra, arithmetic operations and geometry. Urdhva Tiryabhyam is widely employed formula which provides high speed and efficient. Vedic multiplies generates partial sums and products in single step. It has been designed using pass transistor logic which reduces the number of components utilized to build logic gates by removing unwanted transistors. This paper design a vedic multiplier with FinFET based pass transistor logic. The developed multiplies provides better performance and suitable for high speed applications. 2x2 and 4x4 vedic multipliers are developed and executed 180nm approach with Tanner EDA Tool 3.0.
Workspace Identification of Stewart Platform
Authors:   Assistant Professor, Mechanical Engineering Department, Kalyani Govt. Engg. College, Nadia, WB, India., Dasmahapatra S , Ghosh M ,   Assistant Professor, Mechanical Engineering Department, Bengal College of Engineering and Technology, Durgapur, WB, India.
Published: March 2020

The workspace identification of 6-DOF Stewart Platform has been done in this paper through inverse kinematic modeling. This Stewart Platform has six linear cylinder–piston actuators connected within fixed and the moving platform. The motions of the moving platform such as surge, sway, heave, roll, pitch and yaw have been generated from the combined motions of piston of actuators. The mathematical formulations for Inverse-Kinematic modeling of Stewart Platform have been formulated to find out the individual piston motion for the required platform motion. The platform motions and the actuator motions have been studied for the workspace identification of the Stewart Platform.
Simultaneous Scheduling of Machines and AGVs in FMS Through Ant Colony Optimization Algorithm
Authors:   Department of Mechanical Engineering, K L E F University, Guntur, AP, India., Rao M. Nageswara , Kumari S. Vara ,   , Department of E C E, K L E F University, Guntur, AP, 522501, India., Manohar P. ,   Department of Mechanical Engineering, K L E F University, Guntur, AP, India, Madesh B. ,   Department of Mechanical Engineering, K L E F University,Guntur,AP, India, Krishna P. Naveen ,   Department of Mechanical Engineering, K L E F University, Guntur, AP, India, Sai R. Suraj Krishna ,   Department of Mechanical Engineering, K L E F University, Guntur, AP, India.
Published: March 2020

High amount of flexibility and quick response times have become essential features of modern manufacturing systems where customers are demanding a variety of products with reduced product life cycles. Flexible manufacturing system (FMS) is the right choice to achieve these challenging tasks. The performance of FMS is dependent on the selection of scheduling policy of the manufacturing system. In Traditional scheduling problems machines are as considered alone. But material handling equipment’s are also valuable resources in FMS. The scheduling of AGVs is needed to be optimized and harmonized with machine operations. Scheduling in FMS is a well-known NP-hard problem due to considerations of material handling and machine scheduling. Many researchers addressed machine and AGVs individually. In this work an attempt is made to schedule both the machines and AGVs simultaneously. For solving these problems-a new metaheuristic Ant Colony Optimization (ACO) algorithm is proposed.
Boundary Detection to Segment the Pectoral Muscle from Digital Mammograms Images
Authors:   AIIT, Amity University Rajasthan, Jaipur, India., Saxena Sameer , Singh Yudhveer ,   AIIT, Amity University Rajasthan, Jaipur, India., Agarwal Basant ,   Department of CSE, IIIT Kota, Jaipur, India.
Published: March 2020

Breast cancer is class of cancer that sets off when the breast cells grow out of proportion and control. The radiologist recognizes the sign of breast cancer by performing a kind of X-ray called screening mammography. During analysis of mammography the biggest problem arise because of the presence of pectoral muscle. The mass of tissue on which the breast is rest called the Pectoral muscle. The primary problem is that pectoral muscle area density is almost similar to the tumour cell and this condition generates confusion to recognize the tumour cell. For analysis the Medio-Lateral oblique (MLO) views of mammograms is being taken so that the complete breast image can be viewed. Some part of the pectoral muscle also gets visible along with the breast in the MLO view which must be segmented from the mammogram. Pectoral muscle involvement can lead to false positive or false negatives. The workforce shortages of Radiologist with respect to growing demands and to declare the result in a very short time have also increased the pressure. Consequently, a radiologist is sometimes unable to detect an anomaly. This is the time where CAD system can help radiologists to detect breast cancer at an earlier stage. Numerous strategies for the selection of the pectoral muscle have been suggested and developed so far. This article reviews the different segmentation techniques for pectoral muscle removal in mammograms through digital images..
The Influences of Parasocial Relationship and Sources Credibility in Promoting Sustainable Fashion in Social Network Sites
Authors:   Azman Hashim International Business School (AHIBS), Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor, Malaysia,, Hasbullah Nornajihah Nadia , Sulaiman Zuraidah ,   Azman Hashim International Business School (AHIBS), Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor, Malaysia., Mas’od Adaviah ,   Azman Hashim International Business School (AHIBS), Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor, Malaysia.
Published: March 2020

Fashion industry is the second most polluted industry in the world that has caused social and environmental issues. Pointing to the fact, sustainable fashion has been designed to reduce pollution and to improve working conditions in the industry. Concurrently, many consumers have claimed that they are concerned about the impact of major fashion brands on the planet. However, beyond the concerned, the market share produced on this fashion concepts are still lagging. In reaching potential consumers, advertisement via social network sites (SNS) appears to be the most effective medium to reach them. Due to this reason, this study designed the most persuasive ways of promoting sustainable fashion advertising. By engaging the Persuasion Knowledge Model (PKM), this conceptual paper demonstrates the relationships between parasocial relationship, sources credibility, and sustainable fashion consumption. This study proposes three hypotheses based on the growth of sustainable fashion within the Malaysian context. As this study will involves with quantitative analysis, the researchers will employ the PLS software for data analyses in future. Although the sustainable fashion scene in Malaysia is still slow, its growth is promising. The findings can be leveraged to gain deeper understanding on how to create effective digital advertising with the implementation of persuasive knowledge, parasocial relationships, and sources credibility. Accordingly, the study outcomes contribute to various practical implications that may be beneficial for marketing, policy making, and non-governmental action aimed at stimulating sustainable fashion consumption from a dyadic perspective.
Performance Assessment of Domestic Wastewater Treatment Plants Operating on Different Technologies
Authors:   M. Tech. (Environment), Department of Civil Engineering, Rajasthan Technical University, Kota, India., Kumar Sudhir , Choudhary Mahendra Pratap ,   Associate Professor, Civil Engineering, Rajasthan Technical University, Kota, India.
Published: March 2020

Delhi, the most populated city in the country, is the capital of India. The huge population, urbanization and industrial processes contribute to degradation of water quality which is further aggravated by direct disposal of untreated domestic wastewater into the river Yamuna. In Delhi, the sewerage system is badly affected by improper management of the drainage system and insufficient installation of sewers in undeveloped as well as slum areas of the city which degrade the surface water quality of Yamuna River and create unhygienic conditions for the increasing population. In this study, three sewage treatment plants (STPs) have been selected which are situated at Najafgarh, Delhi Gate and Shahdara based on different technologies like Extended Aeration (EA), Biological Filtration and Oxygenated Reactor (BIOFOR) and Phytorid in order to assess the quality of wastewater before and after treatment and determining the removal efficiencies of various parameters. The study reveals that the performance of Delhi Gate and Shahdara STPs based on BIOFOR and Phytorid technologies are more efficient for the treatment of the municipal wastewater which can be further be safely disposed off into surface water and can be used for non-domestic purposes like irrigation, agriculture, cleaning of parks and streets. The effluent quality of Najafgarh STP based on EA technology is found to be less efficient as compared to the BIOFOR and Phytorid technologies. Hence, it is required to be operated and maintained properly with close supervision so as to achieve effluent quality standards as prescribed by the Indian standards.
The Effect of Alum as Filter Conditioner on the Performance of Conventional Rapid Sand Filter
Authors:   Research scholar, Rajarambapu Institute of Technology, Rajararamnagar,Islampur Assistant professor, Civil Engineering,Sharad Institute of Technology, College of Engineering, Yadrav. India, Mota M. H. , Patil P.S. ,   Professor, Civil Engineering, Rajarambapu Institute of Technology, Rajararamnagar, Islampur India
Published: March 2020

Filtration is a one of the most important and critical unit process followed worldwide which removes dirt particles from water. As the water quality standards are changing and becoming more stringent, the improvement in the performance of existing rapid sand filters is unavoidable. The use of filter conditioning to improve filter performance is a relatively recent development in drinking water treatment. Different advantages claimed by such use of filter aid includes lessening ripening period, superior turbidity removal and relatively stable filtrate quality. It also has limitations like reduction in filter run and comparatively higher back washing requirement. To assess the suitability of such method,under the existing conditions is of enormous importance.12 Current research explains the impact of filter media conditioning on the overall performance of conventional rapid sand filter. The study was carried out by installing a pilot plant at Ichalkaranji municipal water treatment plant. Different doses of alum as filter conditioner were tested and the comparison was made with the performance of conventional filter without filter aid. The parameters for evaluation were turbidity removal, filter run and backwash requirements. The dose of alum as filter conditioner was given as slug dose. The effect of zeta (ζ) potential change was observed to be one of the major reasons of the performance improvement, accelerating the surface removal since initial phase.
An OTP Integrated Optimal Key RSA Based Secure Data Communication
Authors:   , ECE, Bankura Unnayani Institute of Engineering, Bankura, W.B., Sarkar Mrinmoy , Kumar Asok ,   ECE, Name MCKV Institute of Engineering, Howrah,W.B., Maji Bansibadan ,   ECE, NIT, Durgapur, India.
Published: March 2020

System security is a basic aspect of data sharing. Aspires have been made to exhaust particular defects over the web. For this, different creative usage and security methods have been made. The measure of information exchange isn't a factor. The major factor is, how much it's secure, the channel gives while transmitting information. Cryptography is one such structure, which grants secure information transmission without losing its protection and uprightness. In light of the key circulation, cryptography is also assembled into two critical forms Symmetric Key Cryptography as well as Asymmetric Key Cryptography. RSA is one of the best conspicuous public-key cryptography based algorithms is unequivocally utilized for encryption/decryption. It's far based on the logical arrangement of factorization of strongly enormous whole numbers which is a compute-intensive way. In this paper, we have provided a novel, secure and profitable information communication system dependent on the RSA algorithm. Mystery updating signal dealing with systems have been proposed in the exploration for the two data transmission and the channel estimation stages. The proposed one facilitates the advantages of both RSA calculation and One Time Password (OTP) produced by the sender and got just by the endorsed customer. Despite that not at all like conventional RSA algorithm, in this work we embrace perfect key assurance by particle swarm optimization (PSO) during both encryption and decryption. The use of PSO for perfect key decision makes the general technique proficient by extending the security level and making the computation procedure very easy.
Impact of Threshold Voltage roll off in Ultra Thin Fully Depleted Silicon on Insulator MOSFET
Authors:   Department of Electronics and Communication Engineering, Noida International University, Noida, U.P. INDIA, Tyagi Chandra Shakher , Sharma R.L. ,   Department of Electronics and Communication Engineering, Noida International University, Noida, U.P. INDIA, Mani Prashant ,   SRM Institute of Science and Technology, U.P. INDIA
Published: March 2020

This article is discussing about threshold voltage roll off effect in Ultra Thin Fully Depleted Silicon on Insulator MOSFET. The device performance is improved due to the reduction in threshold voltage roll off. The thickness of oxide layer is optimized to 2nm which also have a vital role in improvement of device’s throughput. The effect of oxide thickness on parasitic parameter also discussed. Device conductance and transconductance also take in account on simulating the ultra thin fully depleted SOIMOSFET.
A Compact Integrated Small Disk Monopole Antenna with DGS for Wireless Applications
Authors:   Assistant Professor, Department of Electronics and Communication Engineering, KITS Warangal, Telangana, India., Chandrasekhar M. , Raja M.Suneel ,   JRF, Department of Electronics and Communication Engineering, KITS Warangal, Telangana India.
Published: March 2020

The structure of a compact Micro strip feed circular monopole antenna working in the frequency range of (2.5GHz-4GHz) and wideband of frequency ranging from 4.9GHz to 19.93GHz is proposed in this paper. Using a circular radiating monopole with terrible ground wideband frequency operation is possible. Two frequency bands can be accomplished by separating the middle part of the patch and further engraving a circular arc r=4.4 and a loss tangent of 0.02 was utilized to realize and simulate this antenna. It can be operated in both the frequency bands 2.5-4GHz and 4.9-19.93GHz [wideband] possessing less than -10dB reflection coefficient. The whole WB and also in the low-frequency band as mentioned above shows a sturdy radiation pattern.
Trust Based Secure Routing Mechanism in Mobile Adhoc Networks for Enhancing the Routing Performances
Authors:   Associate Professor of Computer Science, Nehru Memorial College, Puthanampatti, Trichirapalli, India, Mani K. , Sivasubramanian S. Prasath ,   Research Scholar,, Nehru Memorial College, Puthanampatti, Trichirapalli, India,
Published: March 2020

Mobile Adhoc Networks enforces certain level of challenges for the researchers since they operate without a fixed infrastructure. Moreover the constant movement of nodes gives additional challenges while implementing any type of solutions. Similarly enforcing secure mode of routing in mobile adhoc networks creates lot of hurdles for the implementers. This paper addresses these issues, by computing the trust of each node and updating the trust tables of the respective nodes and the cluster head. This paper focus in designing a trusted secure mechanism for routing. The objective of this work is to calculate the trust of nodes using various trust methods. Later the calculated trust is updated with the trust table of the cluster head by forming a web of trust. This will enable a secure channel of communication among the adhoc nodes. After incorporating the newly computed trust, the routing performance of well known routing protocol say AODV, is evaluated for various routing parameters and it is compared with the performance of Trusted AODV(TODV).
An Efficient DWT DAPM Technique for PAPR Reduction in OFDM System
Authors:   Research Scholar, Visveswaraya Technological University, Belagavi, India., N. Puneeth Kumar D. , Eshwarappa M. N. ,   Professor, Department of ECE, SSIT, Tumkur, India.
Published: March 2020

In this paper, Discrete Wavelet Transform (DWT) Orthogonal Frequency Division Multiplexing (OFDM) system is compared with Discrete Cosine Transform (DCT) and Discrete Fourier Transform (DFT) OFDM systems. The channel noise is modelled with A white Gaussian Model (AWGN), the fading is the impairment in the channel and modelled by Rayleigh fading which is frequency selective fading channel and flat fading channel. The comparisons of Peak to Average Power Ratio (PAPR) and Bit Error Rate (BER) are made using modulation techniques such as Differential Amplitude and Phase Modulation (DAPM), Quadrature Amplitude Modulation (QAM) and Pulse Amplitude Modulation (PAM). Simulation results shows that PAPR is 4.497 dB for DWT-DAPM combination, 4.684 dB for DWT-QAM combination and 6.211 dB for DWT- PAM combination at 10-3 Complementary Cumulative Distributive Function (CCDF).The performance Analysis with the combination of DFT, DCT with DAPM, QAM and PAM are also compared. The BER is 0.01816, 0.01806 at 20 dB SNR in frequency selective channel, flat fading channel for DWT-DAPM and for DWT- QAM, AWGN channel BER is 0.01765 at 20dB SNR.
Measuring Accounting Professionals Perception on use of AI Based Accounting Practices in India
Authors:   Assistant Professor, School of Management, Sir Padampat Singhania University, Udaipur, Rajasthan, India,, Chouhan Vineet , Shakdwipee Pushpkant ,   Associate Professor, PIM, Pacific University, Udaipur- Rajasthan., Vasita M. L. ,   Associate Professor, University of Rajasthan, Jaipur., Chand Punam ,   Assistant Professor, Head, Department of Commerce, SMCC Government College, Abu Road, Rajasthan, India.
Published: March 2020

Accounting as a progressive domain of knowledge is now ready to adapt new changes and understand how to effectively respond. Artificial intelligence (AI) has brought new challenges and solutions of old problems. It is intense technology not for replacing people but for improving importance of purely human skills like enthusiasm, creativity or empathy: all essential aspects of profession. AI is used for enhancing the human experience for decision making. This means deleting the monotonous work out from employee’s schedule and converting their skills towards managerial decision making. It deals with Large volumes of information that previously used to be succeeded by workforces are now controlled by AI while they can contentedly examine it. Composite altering patterns can be accustomed very easily in the data. These arrangements are extremely dependable than the previously tracked techniques. This research paper analyses measures the use of AI in accounting, auditing and recruiting with measuring its benefits and challenges. For this purpose a sample of 104 accounting professionals were taken and analysed by using regression method with SPSS software and revealed the hidden potentials of AI in the area of accounting profession.
Force Calculation by Reluctance Method in Triangular Air Gap Magnetic System
Authors:   M. Tech, Electrical Power Systems, Institute of Technology, Nirma University, Ahmedabad, Gujarat., Khese Pooja , Patil Rohit ,   Senior Design Engineer, SDDC At Larsen And Toubro Limited (E & A), Vadodara., Jani Swapnil N ,   Assistant Professor, Electrical Engineering Department, Institute of Technology, Nirma University, Ahmedabad, Gujarat.
Published: March 2020

Magnetic circuit in MCCB should be reliable as Reliability is the main concern if MCCB used as the protection to the main appliances. Air-gap plays critical role in any magnetic system as increase and decrease in it will cause shift in saturation level. In this paper we are going to see the effect of air-gap variation in case of triangular air-gap. Here, Ansys software is used for magneto static analysis of the magnetic system. Relation between analytic formulation and ansys data is given by variation factor, which is used to establish force in given triangular system by just mathematical formulation. This paper will help in driving force for any triangulate air-gap system and relation between system and simulating software. Formulation of force generation is very important at design point of view as it will help in analyzing required force generation.
Identifying Land Usage from Aerial Image using Feature Fusion of Thepade’s Sorted n-ary Block Truncation Coding and Bernsen Thresholding with Ensemble Methods
Authors:   Computer Engineering Department, Pimpri Chinchwad College of Engineering, Pune, India., Thepade Sudeep D. , Chaudhari Piyush R ,   Information Technology Department, Xavier Institute of Social Service, Ranchi, Jharkhand, India., Das Rik ,   Information Technology Department, Xavier Institute of Social Service, Ranchi, Jharkhand, India.
Published: March 2020

Automatic Land Usage Identification is one of the most demanded research areas in Remote Sensing. One of the primitive sources for Land Usage Identification is Aerial images. Automatic Land Usage Identification is implemented by exploring different feature extraction methods whereas, these features are categorized into local and global content description of image. Fusion of local and global features may be a potential approach for land usage identification. Accordingly, the major contribution of work presented here is fusion of global color features extracted using TSBTC n-ary method (applied on entire image) and local features extracted using Bernsen thresholding method applied on 3*3 windows of image for land usage identification. Consideration of more than one machine learning classifiers as an ensemble has shown better results than that of individual machine learning classifiers. In proposed work here, Thepade’s Sorted n-ary Block Truncation Coding (TSBTC n-ary) is explored in aerial image feature extraction with nine variations from TSBTC 2-ary till TSBTC 10-ary. The performance appraise of proposed Land Usage Identification technique is done using UC Merced Dataset having 2100 images categorized into 21 land usage types. In consideration performance measures like Accuracy, F Measure and Matthews Correlation Coefficient (MCC); the TSBTC 10-ary global features extraction method has given better land usage identification as compare to Bernsen thresholding local feature extraction method. The proposed method enhances the identification of land usage through feature level fusion of TSBTC 10-ary global features and Bernsen thresholding local features. Along with nine individual machine learning algorithms, ensembles of varied machine learning algorithms are used for further performance improvement of the proposed land usage identification technique.
Throughput Maximization in Cognitive Radio Network Under Constant Fading using Hierarchical Neural System
Authors:   Pursuing Ph.D., Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, India, Goyal Neetu , Mathur Sanjay ,   Professor in the Department of Electronics and Communication Engineering, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar
Published: March 2020

Cognitive radios (CRs) predominantly reuse the spectrum holes to proficiently utilize the scarcely available radio spectrum. In the CRs, the throughput limitation is a major difficulty among the key limitations such as energy consumption, processing resources, cost, and quality of service limitations, that affects a wide range of telecommunication applications nowadays. Moreover, attaining high throughput will overcome the bottleneck of CRs applications. To overcome this emerging throughput limitation issue in the CRs, this paper proposes the best channel prediction algorithm using Multilayer Feed forward Neural Network (MFNN) which tackles the throughput limitations.
Skolem Mean Labeling of Four Star Graphs
Authors:   Research Scholar, Department of Mathematics Reg .No. 12310, St. Xavier’s College, Palayamkottai, Tirunelveli-627002, Affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627 012, TamilNadu, India, Vinolin J. , Ramesh D. S. T. ,   Department of Mathematics, Nazareth Margoschis College, Pillaiyanmanai,Thoothukudi-628617, Affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627 012, TamilNadu, India, Athisayanathan S. ,   Department of Mathematics, Loyola College, Nungambakkam, Chennai -600034, Affiliated to University of Madras, Chennai – 600005, Tamil Nau, India
Published: March 2020

Skolem mean labeling of the four star G = K K K K ∪ ∪ ∪ 1 1, ,η η 1,τ 1,τ 1 2 1 2 where 2 η η  1 and  1 2   is a skolem mean graph if 2 2 1 1        1 2 i i i i   is the main purpose of this article . Here we partite the four star into two pairs and then found the labeling function which proves the four star to be skolem mean using mathematical calculations.
Node Localization using Naive Bayes Classifier and Trilateral Algorithm
Authors:   Assistant Professor, Department of BCA, Anna Adarsh College for Women, Chennai,, Madhumathi K. , Suresh T. ,   Associate Professor, Department of Computer Science and Engineering, Annamalai University, TN, India., Maruti R. ,   Professor, Ponnaiyah Ramajayam Institute of Science and Technology, Chennai.
Published: March 2020

Node localization is an important problem considered among the researchers in the area of Wireless Sensor Networks (WSN). The WSN is formed by a group of sensor nodes having limited energy and other resources that transfers data among each other or to a base station in an ad-hoc fashion. The estimation of the geo location (co-ordinates in the two-dimensional space) of the sensor nodes is essential for ensuring the QoS within the network. The different applications of WSN require varied level of accuracy in the estimation of the location of the sensor nodes. Different localization schemes are adopted in the literature for better estimation of the node location and each of them has both merits and demerits. This paper focuses on analyzing the different node localization mechanism used in the WSN and to identify various issues and challenges in the estimation of the node location. This paper also proposes an optimal approach with less computational effort and high accuracy in prediction based on trilateration algorithm and the RSSI (Received Signal Strength Indicator) values extracted from the target nodes antennas. The network is segmented in to different blocks of unequal size and the block number in which the node is present will be identified using the naive bayes classifier.
Fuzzy Logic Based Control of Multilevel Inverter for Railway Traction System
Authors:   Electrical Engg. Department, Maulana Azad National Institute of Technology, Bhopal, India., Lakwal Jaydeep , Dubey Manisha ,   Electrical Engg. Department, Maulana Azad National Institute of Technology, Bhopal, India.
Published: March 2020

This research especially focus on Railway Traction System of Electrical Multiple Units (EMUs) and illustrate the approaching of an Asymmetric Cascaded H-bridge (ACHB) 9-level MLI controlled by the Fuzzy Logic Controller (FLC) to enhance the quality of output by sinking the harmonic contents in the output result. As in the railway, traction system desires high power and voltage for its operation. So it is proficient to utilize recent introduced Multilevel Inverter (MLI) instead of Conventional Inverter. MLI which is discussed here uses two H-bridge modules with unequal DC sources and it is competent to generate multilevel results at output side. Here proposed MLI uses limited semiconductor switches and voltage source. Therefore expenditure and dimensions of the system is condensed. Thus the system effectiveness will enhance. Simulation has done by MATLAB software to authenticate the performance and functional study of proposed MLI. The simulated output shows very favourable result. Comparison has been made between the two (Conventional and Multilevel) power circuit configurations.
Wake Induced Power Losses in Wind Farms
Authors:   Institute of Applied Data Analytics, Faculty of Integrated Technologies, University of Brunei Darussalam, Brunei Darussalam., R Veena , M Manuel S ,   Institute of Applied Data Analytics, Faculty of Integrated Technologies, University of Brunei Darussalam, Brunei Darussalam., S Mathew ,   Faculty of Engineering and Science, University of Agder, Norway, I Petra M ,   Faculty of Integrated Technologies, University of University of Brunei Darussalam, Brunei Darussalam.
Published: March 2020

With the steady growth in the wind power sector in the past decade and the projected expansions in the future, wind energy plays a significant role in the Global clean energy scenario. When wind turbines operate in clusters as in wind farms, downwind turbines experience wake losses caused by the upwind turbines. For the efficient design and successful management of wind energy projects, these wakes induced power losses within the turbine arrays are to be analyzed and understood. In this paper, we review different approaches, both based on kinematic and flow models, in quantifying the wake induced velocity and power deficits within wind farms. Under the kinematic approach, Jensen, Larsen and Frandsen models are described. Ainslie, RANS, DNS and LES models are covered under the CFD based flow approach. The deep array effect, which is being experienced in large sized wind farms, are also discussed and models developed to estimate the deep array wake losses are reviewed. Need for new methods and approaches in quantifying the deep array losses are highlighted in the paper.
Fault Diagnosis in Multi Phase Induction Machine using Mind Evolution Computation Algorithm Optimized Neural Network
Authors:   Research Scholar, Dept. of EEE, Sathyabama Institute of Science and Technology, Tamil Nadu, India, Annamalai Balamurugan , Swaminathan Sivakumaran Thangavel ,   Professor & Principal, Dept. of EEE, Sasurie College of Engineering, Tiruppur, Tamil Nadu, India.
Published: March 2020

This article proposes a new solution method for diagnosing faults in a multi phase induction motor using least mean square filter (LMS) and a new hybrid neural network with mind evolution computation algorithm. The entire procedure for teaching an artificial neural network (ANN) is popularly thought of among the toughest activities in system learning and also it has lately attracted lots of research workers. The proposed hybrid fault diagnosing method includes an efficient feature extractor based on LMS and a fault classifier based on a hybrid neural network. First, the LMS method is used to extract the effective features. The mind evolution computation algorithm is employed to train the neural network. The performance and efficiency of the presented hybrid neural network classifier is estimated by testing a total of 600 samples, which are modeled on the basis of the failure model. The average correct classification with and without mind evolution computation algorithm is about 98% and 96.17% for various fault signals respectively. The outcome got from the simulation analysis shows the potency of the proposed hybrid neural network for fault diagnosis in multi phase induction motor.
Control Strategies of Power and Power Factor using PID Controller in Hybrid Energy System
Authors:   Assistant Professor, EEE, Noorul Islam Centre for Higher Education, S Bindhu V. , Prabha D.M. Mary Synthia Regis ,   Associate Professor, EEE, Noorul Islam Centre for Higher Education
Published: March 2020

Now a days maximum rise of power can be done by the usage of wind ,solar and diesel system. To get reliable electricity supply and to control the interruption and contingency hybrid power systems are used. The hybrid systems are more advantageous because both the wind and solar are renewable energies which is more convenient to the environment. The work presented in this paper consists of a combination of a wind system ,a PV system and an AC load with a back up of battery source and a diesel generator. Inorder to reduce the transmission cost this system is applicable and it can be used in remote areas. PID controller with PLL technique is used to maintain the power factor constant even when one of the source is in OFF condition. The ON/OFF condition is given manually on the input side and accordingly the energy sources will produce the voltage/current output thereby power factor is maintained constant with the irradiance and temperature. One of the advantage of this system avoids penalty by maintaining the power factor constant.