bluuebunny/crossref_metadata_2025 huggingface dataset:
Compressive Strength By Partial Replacing of Sand with GBFS
Authors:   Department of Civil Engineering, Vignan’s Foundation for Science, Technology & Research, Vadlamudi, Guntur 522213, India., Nagarjuna* Y. , Kumar Jain Bohra Vinay ,   Department of Civil Engineering, Vignan’s Foundation for Science, Technology & Research, Vadlamudi, Guntur 522213, India., Ruben Dr. N. ,   Department of Civil Engineering, Vignan’s Foundation for Science, Technology & Research, Vadlamudi, Guntur 522213, India.
Published: January 2020

The natural sand used acquired from the river bed is everlasting supply, but now the sand resources are getting depleted and exhausted. They are driven by the acute need to find a product that can match the properties of natural sand in concrete, the sand manufactured by crushing the natural rocks. The by-product (stone dust) of the crushing and screening process of coarse aggregates is a fine aggregate. Since rock sand contains more fine particles, it requires more water; hence, quality suffers resulting in low compressive strength and durability. The quality problems caused many concrete manufacturers to think for an alternative source of sand in-place of Rock sand, Thus by using GBFS as fine aggregate in replace of natural/rock sand, we may able to conserve natural resources and its use in concrete, and compressive strength results revealed that it could be as an alternative to sand.
Electronic Nerve Stimulation Device for Drop Foot People
Authors:   Assistant Professor (Sr.G), Department of EEE, Kongu Engineering College,Perundurai, Maheswari* Dr.S. , Logesh S.K. ,   Assistant Professor, Department of EEE, Kongu Engineering College, Perundurai, Aruna S. ,   Assistant Professor, Department of EEE, Kongu Engineering College, Perundurai, Roshini S. ,   Department of EEE, Kongu Engineering College, Perundurai, Priyadharshini S. ,   Department of EEE, Kongu Engineering College, Perundurai
Published: January 2020

Drop foot syndrome is a general term for difficulty in raising the rear of the foot from the ground, a common problem that can lead to falls, trips, and accidents in human life. It is normally a neuromuscular disorder that causes peroneal neuropathy between the fibula and the neck. In other words, the cause of drop foot is the lack of contact between the peroneal nerve and the central nervous system which enables the dorsiflexion of the foot. The person is unable to lift the foot or the toes upward. Foot drop correction is usually accomplished by electrical stimulation of the common peroneal nerve by transmitting a sequence of pulses at a given amplitude, length and frequency. The proposed work is to develop a product to help people those who are affected by drop foot syndrome. The proposed method uses force sensor to identify the proper positioning of the foot, based on the output microcontroller will provide the signal to the driver circuit to operate the stimulator. The proposed work offers low-power, low-cost, battery powered, high-performance, and portable electronic stimulator for drop foot correction. The proposed stimulator is wireless and has been developed using sensors instead of eliminating cables from the device to the stimulator unit using the radio frequency transmitter/receiver pair. Hence it may heplful for the person affected by drop foot syndrome and make it has compact and portable one.
Using of Problem Tasks in Development of Creative Abilities of Pupils in Teaching Mathematics
Authors:   Faculty of Social Science, Department of Education, The National University of Uzbekistan after named MirzoUlugbek, Tashkent, Uzbekistan., Jurayevich* Sodikov Ulugbek
Published: January 2020

This article is written about the result of research on the using of problem tasks in development of creative abilities of pupils in teaching mathematics. The aim of the research is to improve the development methodology of students' creative abilities, through a task-oriented to teaching. The tasks of the research are following from and analytically study those about the practical basis for the development of students' creative abilities using the problematic tasks to teaching mathematics;to improve the methodology for the development of creative abilities of students by teaching them mathematical modeling in solving problems of a non-standard and practical-applied nature;to develop and scientifically substantiate the structural-functional model of the organization of educational and creative activities of students in the process of teaching mathematics; to develop guidelines for improving the methodology, based on the problem task skills development.The article consists of from introduction, literature survey, methodology, discussions,recommendation,and conclusion.
Experimented Examination of Power Produced for Dual Rotor Wind Turbine over Single Rotor Wind Turbine
Authors:   Department of Mechanical Engineering, Ambalika Institute of Management & Technology, Lucknow ,U.P.India, Mishra* Vinay , Paliwal Dr.H.K. ,   Department of Mechanical Engineering , Institute of Engineering & Technology Sitapur Road, Lucknow, UP, India
Published: January 2020

As that wind energy is the vital energy resource which can be used widely to facilitate humane being prolong till the time nature or so called wind is there main aim of this paper is increase extraction percentage of energy from wind using dual rotor wind turbine connected on same axis, analysis were carried out experimentally for the increased power coefficient CP. It has been compared and found that with respect to single rotor or turbine dual wind power is having larger value of CP and torque, moreover instead of using one turbine for two turbine on same axis the value of CP increases with the better balancing stability, further the comparison is made with the performance of single bare wind turbine . Compare to that of single rotor if we used two rotor on same shaft then the torque and power increases on the other hand we will also get large stability due to weight balance condition and was found that large amount of energy can be extracted with comparatively larger value of torque. Experiment have been carried out on single rotor wind turbine and then dual rotor wind turbine after turbine development in the real atmospheric condition due to which different torque ,power produced, rotor speed was achieved which was analyzed and found fruitful where a large amount of power or torque is required
High Precision Indoor VLC positioning Techniques
Authors:   School of Electronics Engineering, Vellore Institute of Technology, Vellore, India, A* Jabeena , Aarthi G. ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, India, Reddy Akash ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, India, Palabatla Supreet ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, India, Sasidhar Paidi ,   School of Electronics Engineering, Vellore Institute of Technology, Vellore, India
Published: January 2020

Visible light communication(VLC) has been gaining a good deal of attraction because of its ability to use the transmitter -LED’s for both communication and illumination. VLC can be used in an environment where wireless communication is not preferred such as hospitals and other chemical plants. Although Global positioning system (GPS) is generally acknowledged, within an indoor environment, VLC has the ability to provide results with better accuracy as it avoids attenuation and blocking. VLC positioning techniques such as Received signal strength (RSS) based trilateration and proximity method are currently being implemented, however the new proposed model which is the weighted k nearest neighbour(Wk-NN) models provides us with a better accuracy than some of the existing methods.
Super Capacitor-based Inverter control using Fuzzy Controller Wind Energy System connected to Weak Grid
Authors:   Bachelor’s Degree , Department of EEE, JNTUA University, Ananthapuramu, India, Lokeswaraiah* K , Manasa Y. ,   Bachelor’s Degree, Department of EEE, JNTUA University, Ananthapuramu, India.
Published: January 2020

In this article, a fuzzy based inverter control is applied to a weak grid connected wind energy system. Whenever Wind Energy system connected to battery storage or super capacitor, which is nothing but a Hybrid Energy System (HES). These Wind HES are sometimes subjected to transients and gives sluggish dynamic output as the wind speed varies and moreover the generator inertia doesn't allow quick rotation when wind is blown to turbine. So, these transients and dynamic results are modified using the fuzzy based inverter control technique. This controlling technique brings a Super-Capacitor (SC) quick charging/discharging features for buck-boost converter. The transient behavior and the frequency response of the system is improved with buck–boost converter that conducts bi-directionally. Fuzzy Logic Controller (FLC) used in the control technique produces the controlled reference output required for the inverter operation. Fuzzy based inverter control scheme designed and analyzed under the weak grid condition. The new control method used for weak grid/load like marine electrical system, this wind energy system decreases the fossil fuels use and the entire proposing work is to be analyzed in MATLAB Simulink environment. The outcomes are presented and compared to the traditional control technique to justify the reduced the oscillations and improvement in the quality of power.
Fuzzy Based Combined Feed-Forward and Feed-Back Controlled Dynamic Voltage Restorer for Enhanced Fault Ride through Capability in DFIG based Wind Turbines
Authors:   M.Tech (student), Dept. of Electrical Engineering, JNTUA, Ananthapuramu, Andhra Pradesh, India., Reddy* Siddu Balarami , Reddy M. Ramasekhara ,   Assistant professor, Dept. of Electrical Engineering, JNTUA University, Ananthapuramu, Andhra Pradesh, India.
Published: January 2020

In this paper, Fault ride through (FRT) capability is enhanced using dynamic voltage restorer (DVR) in a wind turbine-driven doubly fed induction generator (DFIG). For effective control of the DVR, Fuzzy based combined feed-forward and feed-back (CFFFB) voltage control is used. The performance of DVR using CFFFB with FLC control is observed during balanced and unbalanced conditions in terms of voltage sag mitigation, reduced THD, fault current control and dc-link voltage balancing. The advantage of control strategy is validated utilizing simulation of 1.5MW DFIG-WT and results shows better reactive power support during faults condition.
Implementation of Novel Image Restoration Technique from High Density Impulse Noise through Adaptive Max-Min Filter
Authors:   Assistant Professor, Department of ECE in R.M.K. Engineering College, has 12 years of teaching and research experience in the in the fields of Image Processing and Machine Learning, Sivakumar* Mr. A. , Shyam Mr. M. ,   Department of ECE in R.M.K. Engineering College. He has graduated from Tagore Engineering College, Chennai, in Electronics and Communication Engineering, Vignesh Mr. R. Sathya ,   Department of ECE in R.M.K. Engineering College. He has graduated from Coimbatore Institute of Engineering and Technology, Coimbatore, in Electronics and Communication Engineering., Yogapriya Mrs. J. ,   Programmer Analyst in Cognizent Technology Solutions, Chennai. He has graduated from Dr. N.G.P. Institute of Technology, Coimbatore, in Electronics and Communication Engineering.
Published: January 2020

Noise is ardent factor that reduces the quality of any system, disturbing the corresponding output. This is very noticeable especially in image processing techniques, wherein the image output is distorted to a very large extent. To reduce the effect of noise and to improve the quality of any image, it is mandatory to completely remove high density salt-and-pepper impulse noise. The salt-and –pepper impulse noise is a major hindrance that has to be eliminated by restoring the image using a specialized method that applies to all noise pixels. Involving edge protection and noise control, significant improves image quality compared to those restored by using just a nonlinear filter. The significant feature of the proposed idea is that removal of salt-and-pepper-noise as high as 95%.is obtained.
RANDOM-AODV: Efficient Adhoc on Demand Distance Vector Routing Protocol using Fuzzy Logic during Black Hole Attack
Authors:   Research Scholar, Department of Computer Engineering, Suresh Gyan Vihar University, Jaipur, India., Bansal* Mr. Bijender , Keswani Dr.Bright ,   Professor, Supervisor, Department of Computer Applications, Suresh Gyan Vihar University, Jaipur, India., Gupta Dr. Pankaj ,   Professor, Co-Supervisor, Department of CSE, Vaish College of Engineering, Rohtak, India., Goyal Dr. Deepak ,   Profeesor, Department of CSE, Vaish College of Engineering, Rohtak, India.
Published: January 2020

However the black hole attack prevention has been proposed earlier but it is observed that the packet dropping increases constantly as the number of black hole attack are increased. The proposed work is making use of fuzzy logic. This mechanism allows the random node selection so it is supposed to maintain the packet delivery ratio. Results of this research show that the proposed mechanisms do not allow packet dropping on constant rate. Many studies are made that are simulating influence of attack made by .black .hole in the network based on .AODV. It has been observed that there is constant fall in the packet dropping ratio if number of malicious packet increases. This paper has represented the Black Hole attack over AODV routing when random node selection mechanism is applied. Proposed work is allowing selection of nodes on random basis. Such mechanism is supposed to improve the ratio of delivery of packet. Results of Simulation indicates the impact of black hole attack over packet delivery ratio , packet .loss .ratio, .Average .end to .end delivery, and .routing over head. Moreover the comparative analysis of .traditional and .proposed model is made considering packet delivery ratio.
Design of Multiplier through Modified Booth Algorithm with Mig Gate
Authors:   M.Tech(VLSI System design) , VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India., Gurava* Ripunjai , babu P. Suresh ,   Ph. D, Acharya Nagarjuna University, Guntur, India.
Published: January 2020

This paper compares different Booth multipliers i.e., Radix-2, 4, 8 is designed using a new carry look-Ahead adder (CLA). In this Delay and Power have been compared and the main aim behind the project is developing Booth multiplier using Reversible Logic Gate (RLG).While comparing with the normal multiplication, Modified Booth Algorithm gives the less amount of delay as the number of partial products gets reduced. In this process CLA is used to reduce the overall multiplier Delay.The reversible logic is considered because it reduces the circuit complexity, loss of information and power consumption. In this paper a new CLA architecture is proposed in place of the existing CLA architecture which exhibits a high performance of computation, power consumption and area. In this architecture, Delay and power consumption of the design are reported. This new architecture is simulated and synthesized using Xilinx ISE environment.
Network-Simulated Generation of Human Faces with Expressions and Orientations for Deep Learning Classification
Authors:   Department of Computer Science, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand, Pikulkaew Kornprom , Boonchieng Ekkarat ,   Center of Excellence in Community Health Informatics, Department of Computer Science, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand, Boonchieng Waraporn ,   Faculty of Public Health, Chiang Mai University, Chiang Mai, Thailand, Chouvatut* Varin ,   Department of Computer Science, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand.
Published: January 2020

Human face recognition is a complex task, and it is important as it can be applied to assist people worldwide, such as those in the medical field or security. For example, human faces can be used for detecting pain or emotion. Nevertheless, a drawback of deep learning methods that need a lot of data to process is key. In this study, a deep-learning-based technique, which is used to classify, that generates a synthetic image of the facial expression and orientation by utilizing the Wasserstein generative adversarial network (WGAN) is presented. The WGAN can improve the performance of the deep learning method. The proposed system certainly generates images with a small number of datasets compared to the large datasets. This research aims to solve the problem of deep learning by increasing the accuracy of the system. The generated output coincides with the real image dataset. The application using ResNet-50 and RetinaNet as a pre-model for the prediction and detection of the human faces revealed a rapid prediction time and accuracy during the assessment test.
Characterisation of Mach number 1.5 and 2 Nozzle Jets using Computational Techniques
Authors:   Assistant Professor, Department of Aeronautical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India., G* Kannan , JAGANRAJ Dr. R. ,   Assistant Professor, Department of Aeronautical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India.
Published: January 2020

In this paper a supersonic nozzle was designed using the MOC method and the nozzle contour has been created. The computational model was developed to model the characteristics of the jet of Mach number 1.5 & Mach number 2 nozzles. The computational model was created with compressible flow field properties in order to get the most accurate result. The pressure inlet and outlet boundary conditions have been applied with viscous flow solver. In order to get the shock flow visualization and high-speed jet characteristics the exit has been extended to 5D vertical and 15D horizontal and the virtual atmosphere has been created. For both models, the CAA (computation acoustical analysis) carried out using flows, Williams and Hawkings acoustic solver to get far-field noise radiation. The experimental technique and future works were discussed. The Jet characteristics of two nozzles were examined and noise sources have been compared.
BLEH: Bit-Less Extendible Hashing for DBMS and Hard Disk Drives
Authors:   Department of ISE, SJB Institute of Technology, Bengaluru, India., Sridevi* G M , Ashoka Dr. D V ,   Department of ISE, JSS Academy of Technical Education, Bengaluru, India
Published: January 2020

Indexing techniques such as extendible hashing and B-trees are widely used to store, retrieve and search for data on files in most file systems. These techniques have been comprehensively explored to enhance the data structure for increasing the faster access to file contents. Extendible hashing is a dynamic hashing technique which handles dynamic files that keep changing in size. Traditional extendible hashing uses bit addresses to hash the data to buckets and restricts the directory size to be a power of 2 which has corresponding complications in implementation. Restriction on directory size also results in uneven distribution of data which increases the possibility of overflows. This in turn increases the cost of index maintenance. In this paper, an efficient and simpler to implement variation of Extendible hashing method named Bit-Less Extendible Hashing (BLEH) for dynamic files is proposed. The proposed method eliminates the need for binary representation of the hash address which reduces the complexity of implementation. Furthermore, it eliminates the need for the directory size to be a power of 2 providing flexibility in the choice of initial directory size. The experimental results show that the proposed method provides better performance in terms of split count upon insertion when compared to the traditional extendible hashing method with good space utilization.
Detection of Leukemia using Image Processing
Authors:   Assistant Professor, ECE Dept., Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist., A.P., INDIA, Mohammad* Ali Baig , Sainath P. ,   B.Tech. student, ECE Dept., Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist., A.P., INDIA, Babu K Chiranjeevi ,   B.Tech. student, ECE Dept., Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist., A.P., INDIA, Mouli N Chandra ,   B.Tech. student, ECE Dept., Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur Dist., A.P., INDIA
Published: January 2020

In olden days, cancer detection at early stage and its prevention became a difficult task to predict and enhance the stage and efficient image techniques were not available. Due to wrong analysis of cancer presence, patients are treated wrongly. In our method, we detect acute myeloid leukemia effectively. After plotting data from image histogram plot and knowing the segmented region, area of cancer can be obtained by classification of cancer and non-cancer cells. Wrong diagnosis leads to patient’s death, so adequate steps are taken to make diagnosis accurate and to know the features. Effective usage of image tools and regions of infected part are extracted, and detection of cancer based on respective growth of region is observed which is 91 accurate.
A Novel Design of Mealy Machine Equivalence in Vlsi Technology
Authors:   Department of Electronics and Communication Engineering, CMR Institute of Technology, Hyderabad, Telangana State, India., Alluri* Sudhakar
Published: January 2020

In this paper begin of a Novel Design of Mealy Machine Equivalence in VLSI Technology. The pattern in structure and assembling of extremely huge scale incorporated circuit shows a progressing move towards littler gadgets on expanding wafer measurements. CMOS has become a common innovation because of its rapid and pressing thickness combined with low power utilization. New advances have risen to additionally expand circuit speed and to lessen structure and innovation limitations. Models are joined bipolar-CMOS (BICMOS) and CMOS in silicon on the cover (SOI). Other than the mass delivered standard chips exclusively custom-fitted application explicit IC (ASICs) and framework approaches with on-chip coordinated sensors or high power actuators gain significance. These improvements present difficulties in the progression of pillar testing techniques, for example, rapid or high spatial goals on 200 mm width wafers. We have mapped this paper to the Mealy machine equivalence Verilog HDL Code in the Xilinx Vivado Compiler Version v2014.2 (64-bit) and find the Power, utilization report, and Area, Power in Table One, utilization report in Table Two and Area in Table Three.
Stabilization of Black Cotton Soil using Lime and G.G.B.S (Ground Granulated Blast Furnace Slag) As A Admixtures
Authors:   Undergraduate Students, Civil Engineering Department, KLEF, Vaddeswaram, Andhra Pradesh, India, Srinadh* D. , Praneeth P. ,   Undergraduate Students, Civil Engineering Department, KLEF, Vaddeswaram, Andhra Pradesh, India, reddy D.Manideep ,   Undergraduate Students, Civil Engineering Department, KLEF, Vaddeswaram, Andhra Pradesh, India, Chamberlin K.Shyam ,   Assistant Professor, Department of Civil Engineering, KLEF, Vaddeswaram, Andhra Pradesh, India, Kumar N.Sandeep ,   Assistant Professor, Department of Civil Engineering, KLEF, Vaddeswaram, Andhra Pradesh, India
Published: January 2020

Soil Stabilization is one of the modern techniques for modification of soil which are using in our daily life in construction. Due to increase in population land is also getting scarce so we need to build in the available area. So this technique we use is called Soil stabilization or modification of soil. As we know that some of the soils are not useful for construction. As a result while constructing pavements like national highways (NH) we should definitely build the pavement on soils like black cotton soil by improving its strength because the original nature of the soil will have poor bearing capacity and less strength. So by adding admixtures from Industrial wastes such as Ground granulated blast furnace slag(GGBS) which is the waste of iron ore i.e., in powder form and Lime which will increase the bearing strength of the soil, So that it will also increase the pavement design over long period of time which is the ultimate goal for the design of the pavement or any other construction purpose. So by adding these admixture using the industrial waste which is available in a low cost so that we can easily improve the strength of the soil because of the availability of admixtures in economy. After adding the admixtures Soil should be tested by some basic tests of U.C.C (Unconfined Compressive Strength) and also California bearing test (CBR) and also some basic tests like MDD (Maximum Dry Density) & OMC (Optimum Moisture Content), Plasticity index and liquid limit etc.., should be carried out in order to test the improved strength of the soil.
Taxonomy towards Security using Encryption Algorithms in IOT-Based Healthcare System
Authors:   Department of CSE, VIT, vellore, India., Jaiswal* Swati , Sisodiya Lakhan ,   Department of CSE, Medicaps Institute of Science & Technology, Indore, India., Sarkar Supriya ,   Department of CSE, VIT, vellore, India.
Published: January 2020

As IOT has emerged itself in multiple domains that allow proper communication and connectivity worldwide. Due to that multiple attacks and threats arises, which creates number of solutions towards the same. It also raises some important questions and challenges for the security of systems, devices and networks. Multiple algorithms have been devised earlier for wired, wireless, and M2M communication which are not feasible for IOT devices due to low battery life and short range devices. The author focuses on detail analysis of various algorithms, encryption techniques used for preventing and avoiding security threats in IOT-based healthcare systems.
Dimensionality Reduction using Machine Learning and Big Data Technologies
Authors:   Associate Professor, Department of Computer Science & Engineering, Vignan’s Institute of Management and Technology for Women, Kondapur, Ghatkesar., Sirisati* Dr Ranga Swamy , Rao Dr. PSV Srinivasa ,   Professor, Department of Computer Science & Engineering, Vignan’s Institute of Management and Technology for Women, Kondapur, Ghatkesar,, Raju Jvn ,   Assistant Professor, Department of Computer Science & Engineering, Sri Vasavi Institute of Engineering & Technology, Nandamuru, Nagavamsi Mireyala ,   Assistant Professor, Department of Computer Science & Engineering, Sri Vasavi Institute of Engineering & Technology, Nandamuru,
Published: January 2020

Machine learning and big data models are most useful constraints in software technologies. But these systems need very less data at processing time, also technology wise data dimensionality increases day by day. Any algorithm applicable for high dimensional data requires more processing time and storage resources. The curse of dimensionality refers to all the problems that arise when working with data in the higher dimensions that did not exist in the lower dimensions. Our paper attempts to deal with the issue of safety for information at low dimensionality. Addressing this trouble is equivalent to addressing the safety problem of the hardware and software platform. Decision tree (DT) ML model is helpful for these dimensional and clustering problems. DTML model has been reduced the duplicate data size and clustering achieved efficiency 94.3% and reduction ratio by 32.4%..
An Efficient Technique for Managing user Information using Ethereum Network
Authors:   Department of CSE, Raghu Institute of Technology, Visakhapatnam, India,, Akkinapalli* Koushik , Pappu Sasibhushana Rao ,   Department of CSE, Aditya Institute of Technology and Management, Tekkali, India,, Vankara Ramesh Babu ,   Department of CSE, Raghu Institute of Technology, Visakhapatnam, India,, Vella Manikanta ,   Department of CSE, Raghu Institute of Technology, Visakhapatnam, India,
Published: January 2020

Due to enormous increase in development of technology maintenance of user’s information has become major concern. However, user’s information has been effectively maintained by the third parties but the problems with the current system are cost has been increased for maintaining information, lack of transparency and fairness, overuse of power and nature of opaqueness in the current system. So distributed system/ledger i.e., Blockchain came into existence to solve the problems encountered with the current system. The advantages of the proposed distributed system are cost is negligible by eliminating the need of third parties, effectively enhancing the execution speed of transactions and facilitating its reconciliation, maintaining transparency thereby ensuring integrity of user’s information. In this paper, we introduce Ethereum based blockchain network for maintaining user’s information through smart contracts. Experimental results shows that how effectively user’s information has been maintained through blockchain based networks.
Lightweight Security Architecture for Iot Device Communication
Authors:   Assistant Professor, Department of Computer Science & Engineering , SJCIT, Chickballapur, India., S* Vikas Reddy. , Chandrashekara Dr. S N ,   Professor, Head of the Department of Computer Science and Engineering at CBIT, Kolar, India.
Published: January 2020

Internet of Things (IoT) becomes part of our daily life. IoT has greatly uplifted the human life and has touched many aspect in our life style. IoT devices are sophisticated low-end device having limited computational and energy resources. Most of the cryptographic algorithms are based on complex mathematical calculation which is not feasible to be computed on IoT devices. Hence presently IoT devices lack strong security features. Security and privacy are becoming the real concern for IoT devices. In this paper we are exploring the various cryptographic algorithm which can be used for IoT device authentication and secure communication. The overall system is designed considering the light weight factor, scalability, time complexity and ease of implementation
Smart Grid Control System using Solar Panel
Authors:   Electronics and Communication Engineering Department, Centurion University of Technology and Management, Bhubaneswar, India., Mohanta Harish Chnadra , Das* Rupanita ,   Electronics and Communication Engineering Department, Centurion University of Technology and Management, Bhubaneswar, India.
Published: January 2020

As the technology grows very fast, we need more and more power so one of the ultimate choices is renewable energy. Solar energy is the best one among all types of renewable energy. This paper presents a smart grid control system using solar energy. Here, the smart grid control system consists of source board, control board, Arduino board and load board. The solar panel is the source which provides input energy to the control system. The control board composed of relay, operational amplifier (OPAMP) and the bipolar junction transistor (BJT).An interface with Arduino board is done to take inputs and give controlled output, further; we can use battery for storing our solar power and can be reusable by the load which will again enhance our solar power usability. Sunlight based solar panel gives cost investment funds by not paying for power, particularly for power costs keep on rising where the expense of sun oriented keeps on falling. Cost reserve funds likewise can be determined by wiping out the need to channel in framework control, upsetting encompassing scenes and hardscapes, fixing zones, and so on.
Simulation and Experimental Substantiation of Beam Deflection under Guided End Conditions
Authors:   Research Scholar, Vellore Institute of Technology, Chennai, Tamilnadu, India., Gurumoorthy* S. , Rao L.Bhaskara ,   Associate Professor, Vellore Institute of Technology, Chennai, Tamilnadu, India.
Published: January 2020

This paper studies the nonlinear deflection characteristics of a rectangular cross sectional beam with guided support conditions. In this study two different end conditions namely guided – guided and guided – simply supported have been examined. Beams made with two dissimilar materials for instance, aluminum and steel have been considered for this study. Different loading conditions namely point load and the amalgamation of uniformly distributed load and point load have been taken into account in this study. The nonlinear response of a beam under static loading condition is influenced by various parameters like sectional properties of the beam, material, loading and boundary conditions etc. A separate loading fixture was fabricated using steel to apply the load (Point load and uniformly distributed load). The loading fixture was validated by performing an experimental measurement of the deflection under various loading conditions on a simply supported beam. The corresponding theoretical displacement values were calculated using the findings in literature and compared with test results .Both the results were found matching with each other with an average variation of just 10%. Based on this validation lesson, the loading fixture was incorporated in the actual study. Displacement values from the nonlinear static analysis were predicted using Finite Element Method and correlation was made with the experimental values for the actual beam setup. Close correlation among the numerical and physical test results was achieved and the maximum error was 8%.
Gold Price Prediction using Eight Neighborhood Non Linear Cellular Automata
Authors:   Professor, Dept of CSE, Shri Vishnu Engineering College for Women, Bhimavaram, Andhra Pradesh, India., Sreee* Dr P.Kiran , Ramu Prof Y. ,   Associate Professor, Dept of CSE, Shri Vishnu Engineering College for Women, Bhimavaram, Andhra Pradesh, India.
Published: January 2020

Gold price prediction is pronounced as one of the dynamic problems addressed by many researchers. Several researchers have proposed various methods to predict the gold price; still there is a potential room to a new novel method with more accuracy and precise prediction. This paper proposes a supervised classifier with an Eight Neighborhood -Non Linear Cellular Automata to predict the exact gold price. The input for this proposed classifier is taken from the time series data of the last ten years in India. The classifier is trained and tested to give daily predictions to the users, which helps many investors to decide the time to buy or sell gold. This classifier is trained to process large amount of statistical data, process the business decisions listed in news articles. Based on all these parameters it predicts the gold variations in future. The accuracy of the classifier tested with standard datasets was reported as 86.7%, which is considerably better when compared with the existing literature.
Non-Recursive DFT Based Model of Synchrophasor Unit
Authors:   School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, India., Priyadarshini* Subhashree , Panigrahi Chinmoy Kumar ,   School of Electrical Engineering, KIIT Deemed to be University, Bhubaneswar, India.
Published: January 2020

The Synchrophasor Unit or commonly called Phasor Measurement Unit (PMU) is the essential component in the modern power grid which plays a significant role in monitoring, control and protection of the power system. PMU offers synchronized measurements of voltage, current and frequency on a real-time basis. Therefore, it is necessary to install Phasor Measurement Devices in the power grid, which can provide a complete state of each bus system. In this paper, Non-recursive based Discrete Fourier Transform (DFT) approach is implemented for the modelling of PMU due to its stable nature. The entire work is done using the NI LabVIEW software, and the results obtained from the model are validated with mathematical analysis.
Signature Extraction and Recognition from Bank Cheque Image
Authors:   Research Scholar, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai, India., Neelima K * Bramara , Arulselvi S ,   Research Supervisor, Associate Professor, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education and Research, Chennai, India.
Published: January 2020

Automatic signature extraction and recognition from document images is an open research problem. Signature verification is of two types; static and dynamic, and has two approaches; writer dependent and writer independent. Signature verification system in case of bank cheque image should essentially be an error prone system to elude the fraudulent transactions. In this work, a three layer signature verification system is proposed, which is writer independent and offline signature verification system. Graphometrical and FAST features are extracted from the signature images and are given as inputs to the classification algorithms. The proposed signature verification model is a combination of three classification algorithms; artificial neural network, Gaussian mixture model and image matching models, to circumvent the fraudulent transactions. The overall performance accuracy of proposed process is 99%.
Multi Objective Multi Mode Project Management Problem in Triangular Fuzzy Environment
Authors:   Department of Science & Humanities, RNGPIT, Isroli-Afwa, Surat, India., Ketankumar* Rekh Riddhi , Dhodiya Dr. Jayesh M. ,   ASHD, SVNIT, Surat, India.
Published: January 2020

Execution of any project with optimum duration, cost, quality and risk is very significant for project administrators in recent very competitive commercial situation. Sometimes it is not possible to have detailed earlier statistics about project criteria. In such situations, estimation of different Decision makers are considered in linguistic variables and altered into triangular fuzzy numbers as fuzzy numbers have ability to deal with vagueness. In this paper, we frame a new multi-mode multi objective critical path problem and suggest a possibilistic methodology to find critical path for a project where three decision makers’ views are considered as three modes of execution in terms of linguistic variables. We have formulated model of multiple mode in project network problem and find its solution with fuzzy programming approach with exponential membership and linear membership function. The proposed approach is useful to solve multi-mode project management problem which calculates optimal critical path according to four criteria- time, cost, risk and quality with three activities modes of execution in fuzzy environment.
Smart Pollution Monitoring, Alert and Control System using IoT
Authors:   Department of Information Technology, Vignan’s Institute of Engineering for Women, Visakhapatnam, India., Badhan* Ajay Kumar , Kalyani S. ,   Department of Information Technology, Vignan’s Institute of Engineering for Women, Visakhapatnam, India.
Published: January 2020

One of the most important issues relating to the environment is Air Pollution. This is because it does not solely harm the environment in various ways such as ozone layer depletion, global warming but additionally affects the living beings adversely inflicting various health-related problems. The major contributors to Air Pollution apart from industries are vehicles. So, to observe and scale back air pollutants emitted from vehicles this paper proposes a design to develop a smart pollution monitoring system using IoT for detecting the over polluting vehicles. A semi-conductor sensor known as mq2 sensor is integrated with Arduino Uno and it is placed at the emission outlet of vehicle from where the smoke is emitted. The mq2 senor senses the different pollutants emitted from the vehicle and takes the reading of it. It is then compared with the pre-specified threshold value which is already programmed in Arduino Uno. Once the pollution level shoots on the far side beyond the set threshold level, various sorts of warnings such as textual warnings such as messages and, visual warning using LED are fabricated to point that the limit has been breached. Apart from it, if the owner of the vehicle is not taking necessary precaution then a message will be delivered to the traffic control office using GSM along with the GPS location including latitude and longitude values of the vehicle and will impose a fine on the owner of the vehicle as per traffic norms and may also cease the vehicle. This paper, when implemented in real time will be beneficial for the society as it is very economical and yields good result for measuring the air pollution mostly in urban areas.
Testing and Diagnosis of Delay Faults in Finfet VLSI Circuits using Non-Incremental Genetic Algorithm
Authors:   Scientist ‘G’ Head, Reliability Engineering Division, Research Centre Imarat, Vignyanakancha Po, Hyderabad, India, Rayudu* K.V.B.V , Jahagirdar D R ,   Scientist ‘G’ Research Centre Imarat, Vignyana Kancha Po, Hyderabad, India, Rao Dr P Srihari ,   Associate Professor, NIT Warangal, Telangana, India
Published: January 2020

FinFet transistors are used in major semiconductor organizations which play a significant role in the development of the silicon industries. Due to few embedded memories and other circuit issues the transistors have specific faults in manufacturing, designing of the circuit etc. This paper presents an advanced test algorithm to diagnose those faults. The circuit with different gates is designed to identify the places having faults. In addition, algorithms such as non-incremental algorithms is used to find critical path, path delay and PDF of Critical path delay and Genetic Algorithm for optimisation of Critical path delay for sensitive test vector and no of iterations. The transfer characteristics curve is plotted along with the delay curve which helps in finding out the simulation parameters such as noise margin, propagation delay. The results in the methodology calculate the probability density function of the critical path by estimating mean, standard deviation and variance. The advantages of the integration of the two algorithms in this paper help in analyzing the specific faults in the circuits and the error correction of the broken link in the path analysis and has enhanced performance. Furthermore, more complicated circuits are analyzed for fault detection with different approach. In this paper the research work on testing, diagnosis, estimation of Critical path and PDF of Critical path delay faults for FinFET based Combinational Circuits for 20nm and 32 nm Technologies are presented for the first time using latest Non Incremental Genetic algorithm.
Learning Compact Spatio-Temporal Features for Fast Content based Video Retrieval
Authors:   Department of Computer Science and Engineering, Graphic Era deemed to be university, Dehradun, India., Kumar* Vidit , Tripathi Vikas ,   Department of Computer Science and Engineering, Graphic Era deemed to be university, Dehradun, India., Pant Bhaskar ,   Department of Computer Science and Engineering, Graphic Era deemed to be university, Dehradun, India.
Published: January 2020

Videos are recorded and uploaded daily to the sites like YouTube, Facebook etc. from devices such as mobile phones and digital cameras with less or without metadata (semantic tags) associated with it. This makes extremely difficult to retrieve similar videos based on this metadata without using content based semantic search. Content based video retrieval is problem of retrieving most similar videos to a given query video and has wide range of applications such as video browsing, content filtering, video indexing, etc. Traditional video level features based on key frame level hand engineered features which does not exploit rich dynamics present in the video. In this paper we propose a fast content based video retrieval framework using compact spatio-temporal features learned by deep learning. Specifically, deep CNN along with LSTM is deploy to learn spatio-temporal representations of video. For fast retrieval, binary code is generated by hashing learning component in the framework. For fast and effective learning of hash code proposed framework is trained in two stages. First stage learns the video dynamics and in second stage compact code is learn using learned video’s temporal variation from the first stage. UCF101 dataset is used to test the proposed method and results compared by other hashing methods. Results show that our approach is able to improve the performance over existing methods.
Vertex Antimagic Edge Labeling of Cube of A Path Graph
Authors:   Assistant Professor, Department of Mathematics, Agurchand Manmull Jain College, Meenambakkam, Chennai, Tamil Nadu – 600114, India., Sreenivasan* R. , Paulraj M.S. ,   Associate Professor, Department of Mathematics, Agurchand Manmull Jain College, Meenambakkam, Chennai, Tamil Nadu - 600114, India.
Published: January 2020

There are many concepts in science that are very hard to understand and to make use of them in a effective way, it is atmost important to have a tool that best explains these complex concepts in a simpler way. Graph theory is one of the most interesting topics in mathematics that was used to explain many complicated concepts in a simpler and easier way. Graph theory is not just about points and lines and above all, there are many interesting topics in graph theory which has motivated many scholars to pursue research in different areas. One of the most interesting and elite topics in graph theory is the path. The researchers have discovered different types of concepts using paths and have proved different characteristics. Cube of a path graphs are one of those fascinating graphs that have evolved from paths and has been proved to admit a variety of properties. Like paths, labeling is also an area where graph theoretic researchers have shown great interest and have come up with different types of labeling. With the discovery of a spate of labeling, it has motivated and kindled the researchers to apply these labeling to a variety of graphs and check the admittance of different types of properties. One such intriguing type of labeling is the vertex antimagic edge labeling. In this paper, we will show that the cube of a path graph admits vertex antimagic edge labeling.
Adaptive Data Transmission Optimization in Internet of Things
Authors:   Department of Computer Science and Engineering, NIT Srinagar, India, Zahoor* Saniya , Naaz Mir Roohie ,   Department of Computer Science and Engineering, NIT Srinagar, India
Published: January 2020

In most of the IoT applications, exchange of data among various physical and virtual IoT devices having different data flows, energy and delay constraints is a challenging task in such environments. This imposes constraints in IoT applications at the node, network and application level, and to meet such constraints, we propose an adaptive IoT system that adapts to different data flows in IoT network having different time and energy constraints. The proposed scheme consists of two algorithms viz., coarse grain transmission path algorithm for low-deadline IoT applications, where time, traffic load and energy consumption are considered as the main parameters; and a fine-grain algorithm for high-deadline situations, where low latency and power constraints are the important performance parameters. Finally, the performance of proposed strategy is evaluated by simulation. The results of the proposed scheme in this paper outperform the existing algorithms in terms of energy, power, number of alive nodes and delay. The proposed scheme is used for data transmission optimization in delay-sensitive resource-constrained IoT applications.