bluuebunny/crossref_metadata_2025 huggingface dataset:
RETRACTED: Security Protection of Information Utilizing Halfway Speculation
Authors: Ishwarya M V , Suganya J , Nalini M , Kumaresan A , Suresh Anand M
Published: July 2021

Securing privacy in information-digging (data mining) has become indispensable for buying and selling labelled statistics in statistical evaluation, validation, and guide. In such cases, records are either released in published form for re(use) through others for research functions. Here, privacy takes an extensive role to secure the records from ever-escalating net phishing and different probable attackers. Significant upgrades for strong privateness upkeep and protection have emerged as mandatory. In this paper, we endorse the approach of partial speculation. This technique is essential to mask the information in this sort of manner that different facts mining strategies can be without difficulty applied to it. On the alternative hand, it makes the information okay-nameless for this reason, information cannot be re-identified at the same time as records remain almost useful. In partial speculation, simplest identifiers that are vital are speculated first. If this step, safeguards the records from external information linkage, then the technique no longer speculates besides, preventing extra speculation than important with minimal facts loss.
A Transparent Immutable and More Secured Voting System Using Blockchain
Authors: Nagajothi S , Shamrutha S S , Sreeja D , Tejeswini S J
Published: July 2021

Blockchain is a cryptocurrency system with a transaction record of several computers in a peer-to-peer network. Blockchain In this paper, we propose a transparent, immutable, and more secured voting system using blockchain that collectively approaches security and cost issues. In Ballot voting, there is no security, immutability between the voter and the system. The proposed system uses blockchain technology to increase the efficiency of the voting system. Here the algorithm used is blockchain which includes a private key and public key encryption, SHA-256, Merkle hashing tree, and for security, one-time password (OTP) authentication can be done. It permits the voter to vote from any place, which increases the overall attendance percentage. The proposed system gives improved security and manages several data in the blockchain. In this system, we proposed security voting by using blockchain technology. In the existing system easy to vote for the ones who have not voted? I, vote fraudulent is happening on every century, some securities have been implemented but in parallel fraudulent is also increasing.
An Innovative Algorithm for Cluster-Based Decision Support System Using the Fuzzy Soft Set Approach
Authors: Jayagowri P , Arockiaraj S , Karthik R
Published: July 2021

Hard sets and soft sets must be adopted for several unknown logistical problems. This paper seeks to solve the cluster-based decision-making dilemma effectively based on fumigated soft environments. First of all, we are introducing an adjustable approach to resolution of decisions focused on fuzzy soft solutions. Then, the information and the degree of divergence dependent on a-similarity are introduced to determine the weights of the experts. In addition, with uncertain expert weights, we can create an effective cluster-based decision-making strategy. Finally, sensitivity analysis and comparative analysis was conducted with other established approaches.
Design of IoT Based Smart Energy Meter for Home Appliances
Authors: Rupesh M , Anbu Selvan N
Published: July 2021

Communication technology development is increased day by day. Due to the development of communication technology, every product is manufactured with smart activities. From the past decade, most electric devices are executed automatically using the remote control. Internet of Things (IoT) is used to connect various devices easily with the help of sensors. All the connected devices are working automatically without any human interventions. The roles of human beings are only to manage and control the connected devices from a remote location. Electric meters also using the concept of IoT. This paper describes smart meter devices. This system’s main purpose is to au tomatically read the number of current consumption units with LED light, calculate the amount, and display the messages to the user’s website and user’s smartphone. This system also issues the user’s alert message when the current consumption unit crosses the limited level.
Microcontroller Based Automatic Irrigation and Fertilisation System Using Soil Moisture Sensor and Ph Sensor
Authors: Sruthi R , Swytha S , Varsha K , Kavitha P
Published: July 2021

Farmers are reportedly facing a lack of rain and water. The main aim of the paper is the automatic irrigation solution for farmers. This helps to save them precious time and resources. Conventional irrigation technology requires more human action. Human interference can be reduced to a degree with the proposed automatic irrigation and fertilisation technologies. There is still a chance to reduce risks and make work more meekly thanks to the development of technology. The devices focused on integrated and micro controllers have enormous resolutions to voluminous challenges. By using a sensor micro controller system, the proposed programme accurately controls irrigation systems for agriculture. In the field, sensors are mounted to measure PH of a field and relative humidity that transports the signal to the computer for the calculation of crop water requirements. The population of India exceeds 1.2 billion and the pace of population rises daily, so there will be a significant food issue after 2530 years, so it is important to improve agriculture that can be accomplished by introducing these devices in the region.
Improved Prediction of Wind Speed Using Machine Learning
Authors: Giftson Samuel G , Salimath Gangadharayya F , Porselvi T , Karthikeyan V
Published: July 2021

In wind energy systems, wind speed estimation plays an important role. For wind energy systems, accurate forecasting of wind direction is essential, but it is challenging because of its variability. In this paper, wind speed prediction is accomplished using a machine learning-based random forest (RF) method. For the production of wind energy, short-term wind speed prediction is a significant activity. However, it is difficult only to obtain deterministic estimation since wind supplies are erratic and unpredictable. It increases learning that helps to project future values. Average wind speed is a major feature that affects the atmosphere. This paper explains the estimation of wind speed with ML algorithm. It is valuable for assessing the prospects for abnormal climate events and wind energy in the future.
Machine Learning-Based Predictive the Forecasting of Short Term Wind Speed
Authors: Selvaraj Yoganand , Sathyanathan P , Ilango V. , Santhosha D.
Published: July 2021

As a possible emerging technology for electricity generation, wind power is rapidly evolving world’s mainstream influence. However, the inherent spontaneous wind instability poses great obstacles to stable grid usage and power supply stability. One way of efficiently addressing the wind instability problem is to enhance accurate wind velocity forecasts. However, the intrinsic regularity of wind speed data cannot be for the bulk of the wind speed estimation method. Therefore, this paper introduces machine learning (ML) based genetic algorithm (GA) and the Short-term Wind Speed Prediction Model, which can effectively improve wind speed prediction accuracy. The work of study will help evaluate the power grid risks adequately. The appropriate electricity system divisions are expected to create a realistic generation schedule, minimize cost effectively, and significantly encourage green-energy growth.
Dual-input DC/DC Converter for Solar Energy Harvesting Applications
Authors: Jenifer A , Sukhi Y , Nivethitha B P , Jagadeeswari  , Pavithra S
Published: July 2021

In this article, a high-level DC / DC converter is introduced with an external CVS circuit.Theory and experimental results indicate that the control mechanism has a double input design that in particular decreases the cost of the PV generation system;The ZVS auxiliary circuit suggested effectively increases the performance of the converter. The power and control system is straightforward, much like the traditional two-phase booster conversion system.
Grid Connected Bidirectional Converter Based Ems System with Model Predictive Control
Authors: Karthikeyan V , Porselvi T , Salimath Gangadharayya F , Giftson Samuel G
Published: July 2021

In this paper, the bidirectional converter that performs DC-DC power conversion is integrated with the variable speed wind energy conversion system’s grid system. Generally, the voltage quality is reduced, and fluctuation in outputs is performed in renewable energy sources. The stable operation and power generation with fluctuation and power demand in the variable are ensured by developing the energy management system (EMS). In this proposed method, the bidirectional converter’s control is accomplished using the proportional-integral-derivative (PID) controller, which controls the power fluctuation from the WECS to maintain constant. The DC-AC voltage conversion is achieved using the model predictive controller (MPC), which controls both power and voltage. This proposed power and voltage controller enhances the stable AC voltage supply and improves the proper power flow. The proposed method, which is validated in simulation is simple, and the results are obtained using MATLAB/Simulink.
Design of Digital Clock Manager Using Tunable BFD–True Random Number Generator
Authors: Chaitanya Krishna A , Priyanka Ch , Gampala Divya
Published: July 2021

By demanding authentication exercises for example communications, electronic cash frameworks, plate encryption, the cryptographic frameworks have become a core aspect in our daily lives. Random numbers are an significant factor in strengthening and anchoring the protection of e-mail messages used in multiple encryption applications, including key ages, encryption, convention coverage, web wagering. Random flight numbers for basic mystery keys are basic to the protection of criphotographical calculations. In a variety of cryptographic systems, actual random number generators (TRNGs), The part has been incorporated, including PIN / secret word age, validation agreements, key age, random cushions and age of nunce. The circuit uses an undetermined random mechanism as a fundamental source, largely as electric commotion. Programmable field door arrays (FPGAs) are the optimal stage for the success of equipment that offers substantial safety conditions. The TRNG suggested is subject to the Xilinx-FPGA Bit Recurrence Recognition Guideline.
Design and Optimization of CPW-Fed Bow-Tie Slot Patch Antenna
Authors: Malarvizhi C , Brenda M , Bas kar S , Joselin Jeya Sheela J
Published: July 2021

In this article, a mirror edged bow tie slot antenna is modelled and fed by a CPW fed with a finite ground plane. This design is calculated and its material properties such as its substrate FR4 is utilized which is easily available and less cost of fabrication. The height of the substrate is 2.96mm, with sr=2.The operating frequency is set at 2.45GHz which is ISM frequency band of operation. The antenna was simulated using CST Microwave suite and its results are inferred. The resonating frequency is at 2.581 GHz. This antenna is used for Wi-Fi applications.
Classification of FPGA Based Network Traffic Using Machine Learning
Authors: Gunasekaran K , Baskar Radhika , Dhanagopal R , Elangovan K
Published: July 2021

To successfully control infrastructure, the actual identification of internet activity is important. Including faster response times, classifiers automated segmentation strategies have demonstrated favourable performance. Throughout this document, utilizing regression analysis and decision tree features collection, the box and hydraulic model’s appropriateness is checked. Besides, the appropriate number of shipments found in a flow when obtaining flow-level characteristics is calculated by the tests conducted, showing that 46% of movement packages are a reasonable balance that guarantees high efficiency in the minimum time consumed. The tests’ findings show that randomized forests outperform other architectures with a peak precision of 35%. However, since software-driven classification algorithms do not fulfil the expected real-time specifications, we propose a statistical learning device based on the Field-Programmable Gate Array (FPGA) that uses an incredibly parallel architecture simplify the mechanism in this way. The proposed architecture achieves better performance, exceeding the recorded hardware-based classifier outputs using equivalent methods, which guarantees realistic driving management consistency in cluttered computer servers.
A Robust Jitter Noise Power Reduction in Ultra-Speed Optical OFDM Systems
Authors: Lakshmi Devi N , Anusha K , Mahesh AllamVenkata Naga
Published: July 2021

Recently, there is a tremendous growth in wireless communication networks for achieving ultra-high-speed data transmission to enhance the performance of optical communication system. In such systems, jitter is a serious drawback and will leads to impairments in transceivers that causes overall mitigation on the system performance. We used a robust noise reduction technique to minimise the jittering effect under various fading conditions of the channel such as white gaussian additives (AWGN), Rayleigh and Rician distribution to solve this problem. Extensive simulation analysis shown that the proposed approach mitigates the average jitter noise under considered channel circumstances. We also compared the channel performances in terms of sub carrier index versus power.
Design and Development of a Crop Quality Monitoring and Classification System using IoT and Blockchain
Authors: Sangeetha M , Thejaswini Goriparthi , Shoba A , Santoshi Gaikwad S , Amretasre R T , Nivedita S
Published: July 2021

In this paper, an Internet of Things (IoT) based Crop Monitoring and Classification system is proposed for automated sensing, storing, and monitoring real-time parameters that play an important role in determining a crop’s quality and yield. Sensors are placed in-situ in the field and the warehouse to monitor the crop. The long-Range wide area network (LoRa) module is used for communication between the sensing unit placed at the field, warehouse, and data processing unit. The yield is classified based on qualitative analysis posed by the imperative sensor data. Further, to enable an equitable gateway of resource sharing between the distributor and the farmer, a Blockchain-based transaction is taught to enhance trust and security. This proposed method aims to eliminate intermediaries in the trade, thereby helping farmers get the price for their product details stored in an immutable database, which also displays the farmer’s quality of the crop reaped.
Modelling of Multigate MOSFET Short Channel Structure for Low Power Application
Authors: Bantupalli Siva Surya Jaya Praveen , ArunaPriya P , Sharma Tanisha , Hariprasad R
Published: July 2021

The paper proposes a multi-gate structure for MOSFET and focuses on studying the structure with variations in parameters such as channel length, dielectric material, source material, and gate work function. By ensuring small device dimensions, the proposed structure has been simulated using the Silvaco-TCAD tool along with analysis of short-channel effects. The proposed structure can find its usage in low power and high-frequency applications due to high switching rates. The structure also possesses high transconductance at low gate voltages, increasing intrinsic gain and proving useful in RF devices. As the device is nano-scaled, it can prove worthy for fast switching applications with low losses.
Design and Analysis of Frequency Selective Surface for Ism and Lower Ultra-Wideband Antenna
Authors: Janakiram P , Ajith Srighakollapu , Bashyam S , Kamal Nikhil G , Akhil Teja R
Published: July 2021

A Compact, dual-layer Frequency Selective Surface (FSS) is presented for electromagnetic shielding applications. The square loop FSS is modified to provide band rejection characteristics for ISM band and lower Ultra-Wide Band (UWB) covering from 2.2 GHz to 7.1 GHz with the bandwidth of (S21 < -20dB) 4.9 GHz. The novel design exhibits symmetric property due to which it achieves polarization-insensitive stable band rejection of the desired frequency band for various angles of incidences up to 60°. The proposed FSS structure has compact dimensions of 0.170λ x 0.170λ x 0.0117λ. The design was fabricated on either side of the substrate made of FR-4 with a dielectric constant of 4.4 and loss tangent of 0.02. The measured results are well per the simulation results. The proposed FSS in this paper has various applications, including the aerospace industry, hospitals, random, and in the scope of electromagnetic filters, etc.
An Upgraded Design of High-Performance Dual-Band Metal Strip Antenna
Authors: Alwani Abduljalil , Mokaied Mohammad Sadek , Ahmad Ahmad Zakaria , Kassab Mohamed , Nithya V
Published: July 2021

This paper presents an analytical study and an upgrade of reference metal-strip antenna for laptop applications. In recent years, the laptop industry has seen a trend towards more compact designs. This orientation posed new limitations to both designers and manufacturers. Thus, the volume allocated to the internal antenna must be reduced. The results demonstrated in this proposal were obtained through a comprehensive study of the reference design dimensions.
Performance Analysis of UWOC using SISO and SIMO Techniques
Authors: Aravind Jinka Venkata , Kumar Sanjay , Prince Shanthi
Published: July 2021

Underwater communication technology is challenging and so far, there is no alternate to sonar technology for wireless communication. Recently, optical wireless communication is proposed to establish reliable communication link underwater. In this paper, underwater wireless optical communication link is simulated under SISO, SIMO communication model techniques using OptiSystem tool. Link distance is enhanced by increasing the number of receivers in the communication model technique for UWOC system. The performance parameters such as bit error rate, quality factor are analyzed under different UWOC model technique for different link lengths. It is observed that as the number of receivers is increased in the communication model technique, the UWOC efficiency improves in terms of Q factor and BER.
Pedestrian Detection System using Image Processing for Driver Assistance
Authors: Harshavardhan Reddy B , Gayathri N
Published: July 2021

Human beings are the main important reason of road accidents. In high way roads the vehicles are going very fast. Because of such reasons while crossing the roads animals and also humans falls as a prey to the accidents. To avoid such kind of accidents new system is proposed using image processing concepts. In this the system is embedded with the vehicle. Camera is the main part of the proposed system. Whenever the animal or human being tries to cross the road while driving, the camera captures the image. In this proposed system, object detection concept is used. If the people or animals are detected by the camera this system provides an alarm to the user and automatically controls the speed of the vehicle. The type of the images and position of an image are also displayed on the LCD. The entire system is controlled by Arduino controller.
An Effective Segmentation of Tissues from MR Brain Images
Authors: Papachary B , Amru M , Rama Kishore Reddy S
Published: July 2021

Segmentation of MR brain image is quite useful in detection of tissues and further diagnosis. However, precise segmentation of tissues plays a significant role in diagnosing the patient more effectively. Previously, there are plenty of approaches was implemented and however they were failed to detect the exact tissue which led to the failure diagnosis. Therefore, an accurate detection of tissue is required for effective diagnosis. Here, this article presented an efficient segmentation of MR brain image tissues. Our approach includes a hybrid clustering mechanism with pre-processed by median filter. In addition, tissue area also estimated for better diagnosis of patient. In terms of computational complexity and segmentation accuracy the superiority of proposed hybrid approach over conventional segmentation algorithms of simulation results was disclosed.
Analysis of Water Contamination and Reporting Using Wireless Sensors Network
Authors: Thouhid Shaik , priya A
Published: July 2021

In the recent overview says that the climate is influenced by the air and water pollution. The pollutions of C02, NO, CO, S02 these different gases and PH estimation of water decide the tainting. The main reason of the air pollution is the use of automobiles and forms the industries and for water pollution is the wastewater from leather and tanning industries. As the populace is getting expands the toxin is additionally increments at the same time. So to control the population we need to take preventive measures. In this paper we propose the automatic checking and control of air and water population. The sensors are associated with the microcontroller and supply power. At the point when the sensor detects the pollution substances noticeable all around then the detected information is sent to the regulator. On the off chance that the poison is over the edge esteem it will naturally shut the power of industries. The relay is utilized to shut down the by this the pollution of air is controlled and anticipation is made to evade these circumstances in future
Retinal Image Enhancement Using Curvelet Based Sigmoid Mapping of Histogram Equalization
Authors: Anilet Bala A , Aruna Priya P , Maik Vivek
Published: July 2021

Ophthalmologists generally use retinal fundus images to identify certain retinal diseases. However, fundus cameras frequently fail to capture high-quality retinal images due to improper camera settings, eye movement, uneven illumination, and pupil dilation that affect the diagnosis’s reliability. To enhance the fundus image’s visual clarity, we propose a combination of denoising and enhancement methods. This paper uses a multi-resolution curvelet transform and adaptive sigmoid mapping of histogram equalization for better image denoising and enhancement. Our hybrid technique enhances the quality of fundus image with improvement in Peak Signal to Noise Ratio (PSNR) of 6.85%, Structural Similarity Index (SSIM) of 0.89%, and Correlation coefficient (CoC) of 0.13%compared to existing methods with Gaussian noise of about 0.01.
A Novel Compression Framework for Electro Cardiac Signals
Authors: Siva Kumar Reddy B , Krishnamoorthi Raja , Priyanka Ch
Published: July 2021

Electrocardiography (ECG) is a method of measuring cardiovascular electrical movement over a span of time using skin-situated electrodes. In patient surveillance, large volumes of ECG information must be preserved. So as long as we essential to track a patient heart working condition, we should have to save more facts. However, it is very expensive to storage, transmit in addition distribute bandwidth. A powerful compression strategy has been practical to solve this problem so that all the excellent scientifically important functionality can be conserved. We used the MIT-BIH ECG information base for ECG research.
A Bat Optimized Reliable Elm (Bore) For an Efficient Throughput of Cap-VLC System
Authors: Prakash V. , Manimegalai C. T.
Published: July 2021

Indoor Visible light communication (VLC) is considered one of the most famous communication technologies in today’s industrial life, showing importance in data broadcasting and glowing instantly with the cost-effective source of light-emitting diode (LED). This kind of high-speed network’s properties is controlled by the source device’s shortened bandwidth (LED). Therefore, it is considering highly efficient modulation technique and extreme adaptive demodulation technique for better data rate in visible light communication. Carrier less amplitude-phase (CAP) modulation is an eminent modulation scheme that increases implementation ease and places good position inefficiency. Somehow, the CAP-VLC system’s impact is signal jamming, poor sensitivity, scattering, and noise issues. To overrule this problem, it witnesses the implementation of VLC system with CAP modulation using advanced neural network system of High-Speed Feed Forward Neural Network, which works based on the principle of Extreme Learning Machine (ELM). The same is adopted and extended using the BAT algorithm. Along with this, algorithm optimization technique has been integrated to enhance the entire CAP-VLC system’s performance. Altogether, it can be named as bat-optimized reliable ELM (BORE). The proposed new learning-based algorithm for CAP-VLC has shown better performance in received power distribution of 90.6% at various modulation indexes, better BER of about 97.6% in the voltage level of 3V, and different distances between transceivers, respectively.
Deblurring Algorithm Using Alternating Low Rank Augmented Lagrangian with Iterative Priors
Authors: Tojo Laya , Gurushankar K , Maik Vivek , Devi Manju
Published: July 2021

The paper focuses on the Enhanced Augmented Lagrangian method with sparse regularization for image deblurring. The method suggested by ALTERNATING LOW RANK AUGMENTED LAGRANGIAN WITH ITERATIVE A PRIOR is novel in the following ways. (i) Faster convergence leading to speeder execution through rank regulations (ii) using derivatives and low rank together as regularization priors (iii) penalty and regularization weights ensure that each iteration hits a global minimum with a steep descent. The proposed method begins with the lowest rank matrix, which is the sparsest matrix available. The final deblurred result is very successful in achieving good dB improvements through rank regulation.
A Supply Chain Framework for Identified Internet Services Based on Blockchain
Authors: Duraichi N , Sammeta Naresh , Lalitha V , Velmurugan P
Published: July 2021

The Named Data Networking is designed to ensure that each Data entity named allows its producer to digitally sign it. Therefore, the NDN project proposed to delivery of poisoned material an important management paradigm of Testing ground NDN for the actual data validation. This model, however, raises two problems in reality to search for false content: (1) a single point of failure is easily triggered by a centralised architecture, in particular where a root-key fails, because of its lack of dependency on keys across sites, and (2) an unnecessary certificate chain overhead for signing verification. This research suggests a key organization framework built on a blockchain in NDN, which addresses lack of mutual confidence among sites with no trust-based anchors. In particular both site nodes shape a licence blockchain to save public key hatches to guarantee validity, and the proxy gateway takes part to check that contacts among the router then the blockchain are overly regular. In accumulation, NDN is revamped to hold, validate and revoke a publicly important information object and scheme. The findings of our review and appraisal suggest that fewer verification numbers and greater verification reliability can be supported in the proposed arrangement.
A Simple Multiband Microstrip Circular Ring Antenna for Wimax, Wlan, X, and Ku Band Applications
Authors: Bhakkiyalakshmi R , Vasanthi M S
Published: July 2021

In this paper, a multiband concentric circular ring antenna that works at six frequency bands with wide bandwidth is presented. The proposed antenna contains four circular rings to provide multiband operation and a partial ground plane to increase the multiband frequency bandwidths. The designed antenna is compact in structure, having a dimension of 30x30mm2. The proposed antenna can serve six bands of frequencies, including 2.98-3.61GHz, 4.15-7.02GHz, 8.08-9.06GHz, 10.50-11.59GHz, 13.3-14.94GHz, and 15.4616.65GHz. The antenna achieved a peak gain of 4dB and radiation efficiency of 172%.
Performance Analysis of Retinex Based Algorithms for Enhancement of Low Light Images
Authors: Hari U , Ruhan Bevi A , Ramachandran B
Published: July 2021

The images captured under low and poor light conditions may suffer low contrast and blurring problems which will affect its interpretation and recognition. Hence it is important to enhance and restore such low contrast images. The enhancement of the captured images in the low light environment through various image enhancement algorithms is discussed in this work. The set of algorithms tested includes single scale retinex, multiscale retinex color preservation, multiscale retinex color restoration, contrast limited enhanced adaptive histogram equalization, dark channel prior, and gamma correction algorithms. This paper discusses the various variants of retinex models, which are considered powerful methods for image enhancement and restoration. The proposed work involves the study of various image enhancement algorithms and their comparison on the basis of a reference original low light image and human eye perception models. The performance of various retinex derivative algorithms is experimented with using the LIME dataset, and the histogram equalization is analyzed for metrics such as peak signal to noise ratio, structural similarity index, and discrete entropy.
Implementation of VLSI Based Efficient Lossless EEG Compression Architecture using Verilog HDL
Authors: Premalatha G , Mohana J , Suvitha S , Manikandan J
Published: July 2021

If In reality, electroencephalography signal data transfer through the Wireless Network is a frequently used device related to stability and performance problems. This study, the lossless EEG compression circuit architecture of an efficient VLSI device is suggested to increase both the capability of EEG signal transmission and reliability over WBAN. A new lossless data compression technique consisting of even a proposed neural prediction, a casting a vote solution and a quadra probability compression codec has been applied to the proposed architecture. The mid equilibrium encoder consists of a static coding table of multiple Binary and Areas such as training encoders using the comparator and multiplexer’s fundamental components. Help boost the efficiency of the proposed system; a pipelining method was applied. Produce the suggested specification, a 0.18 m CMOS technology containing 8215 gates under 100 MHz clock speed under an operating environment. To test the usefulness of the suggested compression rate technique, for 25 channels, this results in a mean value of 2.35. This work accomplished a 9.6 %increase in compression rate and a 24.1 % decrease in processing costs relative to new competition equipment lossless EEG compressed designs, although keeping a constant interface simplicity.
Design and Implementation of Roof Top Solar Panel Cleaner Robot Using IoT
Authors: Hema L K , Dwibedi Rajat Kumar , Ashwin Kumar J , Raj Pulkit , Shanmugavel M
Published: July 2021

Fuel is one of the main challenges which the world faces in current situation; water shortage for urban and rural households has been one of the major problems too. Fuel wood and crop residues meet about 60 to 70 percent of the country’s electricity demand. Solar energy is a green energy source with an immense potential & light from the sun. The use of electric energy generated by petroleum is important for renewable energy. Solar energy has become a clean energy option and the deployment of solar energy needs to be strengthened. For dusty climates, tropical nations such as India typically use Solar PV panels. On the front side of the frame the dust accumulates and filters the light from the sun. It reduces the ability of the module to produce electricity. If the device is not cleaned for one month, the power output is reduced by 50%. The cleaning device cleans the module via the PIC programming interface. To eliminate the dust in the panel for energy efficiency enhancement.
IOT based Soil Moisture Measuring System for Indian Agriculture
Authors: Vanitha V , Dwibedi Rajat Kumar , Painadthu Ben , Venugopal Kiran , Thomas Aby Varghese
Published: July 2021

In the field of agriculture Internet of Things (IoT) plays a vital role for the farmers in a high range with the help of these technologies soil moisture is measured and its accuracy is computed for further validation. IOT Technology has paved the way to gather knowledge about conditions such as wind, humidity, water, temperature, soil fertility and online cultivation tracking to identify weeds, the level of farmers connecting to the farm from everywhere. Wireless sensor network is used to track farms and to manage and automate the harvested farm using microcontrollers. An intelligent computer, namely a cell phone, can allow farmers, at all times and everywhere in the world, to keep up to date with the present conditions in the agricultural field. The use of IOT costs can be minimised and high precision efficiency increased in conventional farming.
IoT Based Moisture Control and Temperature Monitoring In Smart Farming
Authors: Karthikeyan P R , Chandrasekaran Gokul , Kumar Neelam Sanjeev , Sengottaiyan Elango , Mani Prabu , Kalavathi D T , Gowrishankar V
Published: July 2021

The Internet of Things (IoT) has made a revolution in all the fields of human life by making the work be smart and effective. The IoT devices like sensors, controller, Wi-Fi module and the cloud play a significant part in smart farming which acquires yield in the field of farming and lessens the wastage. The goal of this paper is to propose the IoT based framework for the farmers by analyzing the live information like (moisture, temperature) in the cloud. The agrarian device is equipped with Arduino innovation and can be received through web servers with different sensors and live information transmissions through Thingsspeak.com. The smart agriculture stick is proposed through this paper which is integrated with controller, sensor and live data that can be monitored through the cloud.
Spiral Structured Photonic Crystal Fiber-Based Plasmonic Sensor with Bimetallic Coating
Authors: Vijayalakshmi D , Manimegalai C T , Ayyanar N
Published: July 2021

We present a bimetallic coated, low-loss spiral lattice PCF sensor combined with SPR technology that achieves a high sensitivity. The sensing performance and properties of our recommended sensor are realized numerically by the Finite Element Method. Gold is utilized as the plasmonic layer and titanium Oxide (TiO2), which is sandwiched between the silica glass fiber and the gold coating, forming the bimetallic surface. As TiO2 has a high refractive index, they create a strong surface plasmon wave in the plasmonic region that attracts the evanescent field originating from the core region and increases the coupling effect plasmonic and core mode. Hence, the bimetallic coating is performed to achieve better sensing performance and strengthen the SPR process for the presented sensor. The presented sensor’s nominal tolerance is 12,000 nm/RIU for x-polarization to 11,000 MHz for y-polarization. The presented sensor is intended to be used in several applications and sensing fields due to its high sensitivity.
Wideband Spectrum Sensing in Dynamic Spectrum Access Systems Using Bayesian Learning
Authors: Madhavan Aravindan , Govindarajan Yamuna
Published: July 2021

The commercialization and growth of Cognitive radio technology demand a spectrum sensing system that reacts in real-time to smart resolution, unlike the current mobile standards that do not have inbuilt features. Spectrum utilization is heterogeneous in practice. Spectrum utilization in various bands shares the same sparsity level. A heterogeneous wideband will be grouped into an inherited block structure to design an efficient sub-Nyquist spectrum sensing technique. Block sparse Bayesian learning is used for the recovery of signals. Two methods adopted are 1) With prior knowledge of block partition and 2) Without knowledge of block partition. These methods will result in an a-posterior estimated recovery of signal. The algorithm has been developed to sense the wideband to identify its vacant spectrum irrespective of the vacant band’s sparsity level and location. Block Sparse Bayesian Learning (BSBL) method can provide good performance at all Signal to Noise ratio (SNR) compared to the state-of-art methods.
IoT Based Monitoring and Alert System for Patients with Chronic Obstructive Diseases
Authors: Rukmani Devi D , Rubesh Kumar T , Omkumar S , Mohandas R
Published: July 2021

Information and telecommunications infrastructure is based upon to play an essential part in the changes that must be made to health centres to cope with chronic conditions. This article discusses telemedicine’s perspective in residential treatment for chronic patients with chronic obstructive pulmonary disease (COPD) & an advanced framework developed to do so. The chronic care telemedicine method to assess the effect on wellbeing. The paper proposed a method to this unaddressed requirement by modelling & structurally constructing a model mobile device that constantly monitors the airflow rate, respiratory rate, physical exercise, nap quality, the likelihood of respiratory problems, & the degree of distress & exhaustion in a protected central server that can be accessed from a mobile globally.
Design of Dual Polarized Slot Antenna for UWB Communications
Authors: Sriram A , Manoj D , Yeshwanth Varma D , AkbarBasha S K , Vikas M
Published: July 2021

The design presents the dual-polarized antenna, which works on an ultra-wideband range of 3.1GHz to 10.1GHz. The overall configurations is square, with two adjacent arms being micro strip fed that are orthogonal to each other and are accountable for two opposite polarized fields. Two other slots are put in symmetry to minimize cross-polarization. The simulated impedance bandwidth is 10 GHz (from 3.1GHz to 10.1GHz) mainly in the UWB range. The 20 dB isolation is achieved from 4.2 GHz to 9.9 GHz. The mutual coupling between the two slots begins from 3.4 GHz. With good isolation and less cross-polarization, the MIMO antenna works very well in many UWB applications such as automotive radars, imaging, wearable devices, and wireless communication.
VLSI based Lossless ECG Compression Algorithm Implementation for Low Power Devices
Authors: Kuppusamy P G , Sureshkumar R , Yuvaraj S A , Dilliraj E
Published: July 2021

The research study presents a VLSI design of an effective electrocardiogram data encoding lossless data compression scheme to conserve disk system to minimize channel capacity. As the data compression can save disc space, reduce transfer time, and seized this ability by introducing a memory-less architecture when operating in VLSI at a high data rate. There are two components of the ECG classification technique: an adaptive frequency-domain methodology and bandwidth. An accurate and reduced VLSI compressed algorithm design has been introduced. The current VLSI architecture uses a few more procedures to substitute for the various mathematical functions to enhance performance and implemented the VLSI’s architecture to the MIT-BIH atrial fibrillation repository capable of achieving a 2.62 lossless bit compression rate. Also, the VLSI structure uses a gate count of 5.1 K.
Performance Investigation of digital filters for Image Enhancement
Authors: Bhavadharini K , Ruhan Bevi A , Hari U
Published: July 2021

In poorly lit environmental conditions, the camera does not capture clear images. There are many enhancement processes for low light images, considering all those factors, it is inferred that the main problem that arises even after the enhancement process is the noise. Haze removal method is taken for the enhancement of the image after performing various studies on the various processes. Guided, Median, Gaussian and Weiner filters are deployed for removing the noise which is enhanced during the process in the low light image set. The performance analysis of the filters is carried out to measure the rate of enhancement with metrics such as SNR, PSNR and SSIM. The experimental results here show the performance of various filters taken into consideration and found that guided filter, median filter and wiener filter showed good enhanced results.
Power Route Selection for Spatial Modulation and Multi-Hop Wireless Networks With Minimal Energy Supplies
Authors: Jabirullah Mohammad , Nagalakshmi M , Saravanan K , Anantha Raman G R
Published: July 2021

Concurrent w ireless and data transmission information and power transmits cellular nodes information and power with almost the same radio transmitter. The lifespan of the energy-reducing mobile networks can be increased. The focus on a single and double hop cellular network is currently being focused on. This essay simultaneously discusses and routing selection in order to check the efficiency of the energy-controlled wireless network in multi-hop operators, in which the energy received through the recipient node can be used to counteract energy transfer. We initial articulate the dataalso energy distribution problem in a possible through the development which depends on the following node; also overcome it through an iterative aspect algorithm, in order to reduce demand for energy. The power usage of the links distributed with or without a current routing metric evaluates. The energy conscious routing algorithm assigns knowledge and energy to the access control mechanism during the step of trajectory finding. This is the first approach to our understanding that takes care of the routing process. Our efficiency studies indicate that our existing methodology can efficiently harness node capital whose energy is inadequate and reduce energy consumption considerably.
FPGA Based Approximate Digital VLSI Circuit Validating Focused on Fault Diagnosis
Authors: Uthayakumar C , Jijina G O , Suresh G , Nagaraju V
Published: July 2021

In this report, a Duty Approximate Testing framework is introduced that generates modulation schemes for only separate faults. The fundamental idea is to draw up a list of flaws that may be overlooked or left unproven. The current issues are tested by generating modulation schemes for certain flaws. We examine the implications of skipping any faults by adding glued errors at the circuit’s proper position. With a system limitation standard, the output standard deviation is calculated. In the near past, the FPGA method was a leading method of addressing dynamic automated system architecture or systems. Multiple timers operate the devices in all full-duplex modes. This report examines responsibility to fix multipurpose structures on FPGA for just a grid of dynamic and partially located coordinated balanced regular intervals. For both the FPGA, throughout the irregular clock operation model, the modular component reconstruction system’s load balancing based on the remote monitoring method is used.Furthermore, DPR uses the open-goal approach’s proposed technique to eliminate the flaws throughout processing in the presence of damages. The DPR cuts the lifespan, and device storage is saved by limited restructuring in concurrent FPGA computing. The power consumption of the development method is very significant for many clock realms and throughout the grid. The balanced development consistency is compared with the concurrent balanced matrix to measure the DPR’s reliability. It is also noted that even the fault-tolerant DPR for FPGAs is highly efficient and reliable. The experimental finding shows that irrespective of the flawed findings obtained, such electronics can be used in some kinds of fault structures such as video editing, image recognition, and digital communication. The number of fault positions is reduced by 15-25% concerning both of those benefit, leading to a decline in the number of switching devices.
Automatic Solar Panel Cleaner Robot Using IoT
Authors: Kumar R , Ramapraba P S , Kishore Somala Rama , Jayanthi S
Published: July 2021

The solar panel operates by allowing light to penetrate solar cells. The more a panel is impacted, the more power it produces. The dust and bird drops are more likely to collect due to the solar windows’ upward angles. The mud that is not safe even with air. The same light effect is decreased on the panel, and sensor production is high. The producers and installers of solar panels claim the planned energy figures focused on optimum renewable solar panel efficiency. The radiation’s construction on a solar panel will impact the panel’s capacity to fulfill the predicted number. It is therefore essential and appropriate to clean the solar panel in order to secure and obtain further electricity. Thus, we build and clean the solar panel, and increase panel capacity, for the automated system.
Vehicular Formed Network Coding Conscious Connectivity for Sensor Networks
Authors: Sivakumar P , Lenin J , Asha Shiny X S , Vanisree K
Published: July 2021

With wireless communication, resource efficiency is an important issue. Routing protocols has considered to be a successful technology in recent years, reducing transmission numbers, saving energy and improving network efficiency, especially appropriate for Wireless Networks that drive network coding expertise. However, current network coding knowing routing issues with failed network coding due to faulty conditions. Established network coding, on the other hand, typically takes into account the ideal traffic planning schedule and overlooked resource and load checkpoints that are critical for wireless communication. Therefore, current network coding in the information of routings on wireless sensor networks cannot be implemented explicitly. With regard to the problems mentioned above, this paper proposes the TSCAR for wireless sensor systems for routing in the context of a traffic system. A standard network coding criterion is set out in TSCAR to overcome the fake sequencing problem. In order to produce further coding behaviour as coding openings occur, a method for influencing the transport of various flows is also suggested. Furthermore, the TSCAR delay is analysed by the network calculus. In order to quantify the tracks found, a codification, load, also energy-aware metrics are also planned. Extensive simulation findings show that the TSCAR improves the amount of coding possibilities in addition the percentage of coded packages, boosts system efficiency, then extends wireless network sensor network life.
Design of Low-Cost Object Identification Module for Culinary Applications
Authors: Pranav Vijay Chakilam B , Revanth  , Muppirala Vyshnavi , Anilet Bala A , Maik Vivek
Published: July 2021

Using up one’s fridge’s contents often requires touch creativity, which is typically hard to come by in a very busy world. This aim is to style a model that may scan the things in one’s fridge and recommend recipes that supported what one has got, even taking one’s preferences and dietary restrictions under consideration. Computers are commencing to process globe objects without the requirement for codes or human intervention in their language. This project aims to create a module that uses object recognition to detect vegetables and fruits and display recipes that include those foods. This concept uses a camera that is installed in a refrigerator to show it into a sensible one. The system identifies objects that are placed inside using complex object recognition algorithms using the camera. If a vegetable or fruit is placed inside, the system will identify it and displays its name on the screen. It creates an indication of the chances of object recognition. The platform enables users to put any number of various vegetables into the refrigerator. The system then checks a list of recipes that contain the ingredients inside the refrigerator and filters those that feature the vegetables available. Together with this, we also aim to watch the refrigerator’s contents and find the freshness and age using various sensors and provide inventory and warnings when they are on the verge of completion.