bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Water Contamination and Reporting Using Wireless Sensors Network
Authors: Thouhid Shaik , priya A 
Published: July 2021

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.