bluuebunny/crossref_metadata_2025_split huggingface dataset:
HNS Advanced Encryption Standard: An Enhanced Security Approach for IoT Communication
Authors: Kassab Mohamed , Nithya V , Mokyed Mohamad Sadek 
Published: July 2021

Abstract
AES is considered as synchronize encryption whose keys are the same in the sender and the receiver. All the researches work to enhance the security in this type of encryption by making the keys nonlinear. If attackers know any one of the sub-keys, this will lead to knowing other keys in a not difficult way. To make it more nonlinear and more difficult to be attacked, it should be more balanced between some ones and zeros in the ciphertext. We make some changes in the key expansion function to get results more balanced than the original design AES.
Quantum-Dot Cellular Automata Based On Trainable Associative Memory Neural Network for Implementing Reconfigurable Logic Gates
Authors: Saravanan M 
Published: July 2021

Abstract
CMOS technology has reached its physical scaling limits, power consumption limits, and hence CMOS technology has to be replaced by other emerging technologies. Quantum-Dot Cellular Automata (QCA) has proven to be a better solution since it offers better scaling and low power consumption for processing digital signals. However, due to a lack of optimization support improvements, dynamical QCA paradigms require multi-layer designs and increased computations. Hence in this paper, a reconfigurable logic gate based on QCA paradigms is proposed. The design utilizes training of memory cells associated with QCA paradigms and hence can be switched between AND, OR, and MUX logic circuit designs dynamically. Compared to traditional dynamical QCA, the model is designed on a single-layer substrate with a minimum number of cells and size.
Design and Analysis of Compact Diversity Antenna for Wearable Applications
Authors: Mishra Anshuman , Sandeep Kumar P , Shrestha Rikesh , Malathi K , Phani Kumar Kanaparthi V 
Published: July 2021

Abstract
A new compact Ultra-Wideband (UWB) antenna is designed for wearable applications using jeans fabric as the substrate. The proposed antenna has an impedance bandwidth from 3.1 to 11.1 GHz. The antenna footprint is of size 18mm x 26 mm, and the thickness of the substrate is 0.8mm. It is based on a simple patch antenna configuration where the radiator consists of a simple rectangular structure and an ellipse added on top. Circular and elliptical notches are removed from the radiator, and rectangular notches are removed from the feed line for bandwidth enhancement. A partial ground plane of size 18mm x 9mm with a square notch is present on the other side of the antenna. Two such antennas are placed side by side as unit cells, one horizontal and the other vertical, to obtain a 2-port diversity set. The unit cells are placed at a distance such that minimal mutual coupling is present between the cells, and the size is also not compromised. The final diversity set so obtained is of size 44mm x 26 mm. The simulation results for reflection coefficients, SAR, and radiation pattern for both unit cell and diversity port are presented. Diversity parameters like ECC and diversity gain are also simulated for diversity antenna. The results obtained by testing the fabricated prototype are found to be matching reasonably with the simulated results. The antenna is also subjected to bending analysis.
Double Talk Detection in hands-free mobile communication- A comprehensive survey
Authors: Hannah Pauline S , Samiappan Dhanalakshmi , Kumar R B 
Published: July 2021

Abstract
In modern teleconferencing systems, echo cancellation is a mandatory requirement. Echoes arise in Loudspeaker Enclosure Microphone devices because of coupling between loudspeaker and microphone signals. To remove these unwanted echoes from microphone signals, Acoustic Echo Cancellers are used. Several techniques exist for acoustic echo cancellation. Acoustic echo cancelling an adaptive FIR/IIR filter can predict the path of echo and cancel it. The adaptive algorithms give good performance when only the far-end signal is present. But when the near-end signal is present, the adaptive filter tends to diverge. Such a situation creates a double talk scenario. The filter adaptation must be prevented during the double talk period. Accurate detection of double talk is quite difficult and computationally complex. Hence the algorithms for detecting Double Talk are not easy to implement. Increased detection accuracy is achieved at the cost of computational complexity. Further, it is desired to cancel out the far end echo signal, thus giving a good quality of near-end speech signal as output. Here, we provide a detailed study of the different algorithms existing for double talk detection, and future direction of research in the field of double talk detection is proposed.
An efficient transfer learning-based Super-Resolution model for Medical Ultrasound Image
Authors: Suseela K , Kalimuthu K 
Published: July 2021

Abstract
There are many imaging modalities for clinical diagnosis, but we heavily use ultrasound imaging; some of the ultrasound images are low resolution because of the body’s internal weakness. This paper presents a novel unsupervised super-resolution framework for ultrasound image enhancement without considering any large sets of training samples which is the major concern in many single image super-resolution techniques. Here, the most powerful nonlinear mapping is introduced within convolutional neural networks to restore potentially useful and prominent spatial information generated from the model sets considered for image enhancements. Here, two techniques are used: dilated convolution and residual learning to increase the convergence and reconstruction accuracy in terms of quality measures. The potential metrics of dilated convolution in extract spatial information and residual learning are used to narrow the convergence time by learning only the difference between the test input and distorted input image. By evaluating the proposed framework on real ultrasound image sets, the performance metrics are validated. The proposed model outperformed the other competitive image enhancement models in the USSR field.
RETRACTED: Solar Based Water Quality Management System in Agriculture
Authors: Sai Prasanth S , Vidhya K 
Published: July 2021

Abstract
The huge expansion in worldwide mechanical yield, country to metropolitan float and the over-use of land and ocean assets, the nature of water accessible to individuals has crumbled incredibly. The high utilization of fertilizers in agricultures and furthermore different synthetic substances in areas, for example, mining and development have contributed massively to the general decrease of water quality universally. A sun light based Smart water system framework has been proposed. The horticultural land is checked with the assistance of five sensors and water system is computerized with the assistance of Microcontroller. The status of the water system of the specific land is suggested to the clients Mobile utilizing GSM Technique. By utilizing this water system framework, assets like water and Electricity can be minimalistic ally utilized with increment in water system productivity, and decrease in labour cost. The entire unit is given force flexibly with the assistance of solar panels which is been connected to the battery. The battery will be getting charged by this solar panel. We also use ultrasonic sensor to check any illegal entry of animals or birds into our land.
Segmentation Based Biomedical Image Retrieval with Low-Level Feature Extraction
Authors: Vani K , Papachary B , Lavanya L 
Published: July 2021

Abstract
Content based image retrieval (CBIR) is an imperative and testing errand in numerous fields, for example, military, common, restorative and even in web applications. Here, we implemented medical image retrieval focused on novel material with decimated bi-orthogonal spline wavelet filter banks. Proposed algorithm is an extension for the existing low-level feature extraction method done by using spline wavelet filters, also utilized iterative partitioning (IP) for extracting the similar patterns of Pictures of query & database. In terms of consistency & memory, simulation results indicate that the approach suggested was better than the current scheme.
Performance Enhancement in Multicore Fiber Using Trench Assisted Technique
Authors: Salma Fathima T , Manimegalai C T 
Published: July 2021

Abstract
Analysis of crosstalk in multi-core fiber is using the trench-assisted technique. To reduce the crosstalk between the cores in the fiber, coupled-mode theory and coupled power theory are adopted for crosstalk estimation and considering different design parameters such as core pitch, bending radius, and wavelength to optimize the crosstalk performance. The homogeneous fiber, which works under single-mode operation, has been considered. The study of performance by varying the trench width is also analyzed. Crosstalk variation in outer cores and center cores of the fiber is studied. The numerical simulation results of crosstalk behavior over bending radius and wavelength are obtained.
Wireless Temperature Read Out System in an Industry to Prevent Outbreak of COVID Cases
Authors: Vimal Kumar M N , Shakunthala M , Padmavathy T V , Muthu Krishnammal P 
Published: July 2021

Abstract
The 2019 Corona Virus Disease (COVID-19), announced as an epidemic by the World Health Organization (WHO in March 2020, is a significant problem in 175 countries worldwide. This disease is very easily transmitted by near interaction and through droplets in the air formed when people sneeze or cough. Established in Wuhan, it has expanded quickly to several other nations. The recent pandemic corona virus surprised the world’s medical systems. Although tests are underway on possible vaccines, it would take a long time before they can be used publicly. The government has made most of its efforts to prevent the spread of the corona virus and predict likely hot zones. First & foremost, the body temperature is the measure performed to assess this epidemic. In this article, we have outlined the implementation of a read-out Wireless Temperature system capable of noting the worker’s body temperature of the worker & updating the information on the organization portal’s online repository. The study characterizes the appropriate use of scrapping methods for network security, model prediction, implementation of the mobile application platform and cloud storage.
Translation of Gesture-Based Static Sign Language to Text and Speech
Authors: Gauni Sabitha , Bastia Ankit , Sohan Kumar B , Soni Prakhar , Pydi Vineeth 
Published: July 2021

Abstract
As human beings, most of us convey our thoughts by speech and facial expressions, but according to the latest survey conducted, it was found that roughly 1% of the population in India is deaf and mute. These people communicate with others using hand gestures and facial expressions. However, most people find it difficult to understand gestures. To eliminate this gap, we develop static gesture classification based on sign language standards and then converting to text and speech of a given local dialect.
Air Quality Monitoring System Based on IoT
Authors: Dineshkumar T , Suresh Babu V , Partheeban Pachaivannan , Puviarasi R 
Published: July 2021

Abstract
The system presented in this paper is an advanced real-time air quality reporting system supported by the Internet of Things (IoT) architecture. Air quality in an environment heavily affected by the community’s state in a region may affect human, animal, and plant safety. Therefore, air quality levels in a region should be tracked regularly. This study aimed to build an IoT-based air quality system to evaluate air quality conditions in a given region. The device can track the air rates of different substances including O3, SO2, CO and particulate matter using sensors. Read the Arduino microcontroller sensor detail. The data sent to the cloud system then accessed the cloud system through a WIFI module on Arduino. The effects of the tracking are available through a cloud Site page. The current model is implemented successfully and can be deployed for real system implementations.
Internet of Things Based Indoor Smart Surveillance and Monitoring System using Arduino and Raspberry Pi
Authors: Sendhilkumar N C , Malarvizhi C , Anand M , Periyarselvam K 
Published: July 2021

Abstract
Security now constitutes a big concern for a day & is rising fast every day. Save your house, records, money & other valuable things like jewellery is vital to all. The methodologies used by offenders have now strengthened with the advancement of very recent technology. Therefore, the appropriate monitoring strategies for global transformation are very critical to develop. Video detection and tracking system are the latest and powerful technologies used against burglary and stealing. However, some individuals can not bear the cost of building and running such devices. A new and efficient system has been suggested for motion detection rather than applying different complex algorithms. When the PIR sensor senses the action, it records the image with the camera & sends it to the user. The cost of construction can be that, and the energy-efficient program can be used with this approach.
VLSI Based Architecture in ECG Monitoring for Adaptive Power Management In Wireless Bio Signal Acquisition Network
Authors: Baskar Radhika , Dhanagopal R , Elangovan K , Gunasekaran K 
Published: July 2021

Abstract
For the diagnosis and elimination of cardiovascular diseases, the ECG system has evolved as smarter healthcare professionals. As almost all of these networks are battery-operated, the whole device’s total life is greatly shortened by self-centred communication connections. This paper will present a power control technique and the accompanying VLSI design to improve the Asic ECG heart monitor’s lifespan powered by the battery. The suggested power control strategy dynamically adjusts between two transmission modes, i.e. high performance / lower energy modes, available for a device’s energy level. Because localized storage is energy, for true monitoring of QRS complexity and breathing rates assessment, a streamlined methodology focusing on slopes improvement with runtime adaptive thresholding is intended to guarantee maximum energy usage throughout limited energy level. The required communication mode is chosen based mostly on batteries and pulse rate consistency, which essentially fulfils the Wireless Body Sensor Communication network objective. Collecting appropriate ECG collections from a single customer and enhancing the longevity of the device. Response and efficiency are evaluated for the proposed method The ultra - low - power signal generator with a relaxing scope range of 1-3 m will be built to retain a bigger battery. Any transmitter and receiver for remote private communication standards have been established lately. It is not the best option for ultra-low power WBAN implementations. The Spartan 6 FPGA design has been introduced with a peak clock frequency of 269 MHz with an energy demand of 0.3mW, specially designed for actual ECG measurement techniques.
Green Power Electricity Generation Devices Using Blockchain-Based Accent
Authors: Arul T. G. , Perumal Varatharaja , Guruprasad B. , Murugan K. 
Published: July 2021

Abstract
Power storage systems offer numerous attractive characteristics of contemporary smart grids such as improved system stability, efficient demand response, and lower bills. Uncoordinated loading of ESUs, though is exhausting and can lead to an end of the power system. This paper uses blockchain and intelligent agreements to create a decentralised loading system with no need for a centralised load coordinator. The first ESU tokens can be used for authenticating itself anonymously in the blockchain. The ESU will give a request to charge the clever agreement address for the blockchain. This includes the state-of-charge (SoC), time to comprehensive chariots (TCC) and the quantity of charge required. This smart contract will then run the charge coordination process self-running, to postpone stresses for lower priority ESUs on potential time slots. ESUs with the top priorities are paid on the current slot. Each ESU should ensure the accurate measurement of charging schedules. Finally, our study indicates that performance costs can be appropriate in terms of gas usage while allowing de-central charge coordination, while increasing transparency, trustworthiness, and privacy conservation. We applied the projected gadget for the Ethereum test bed blockchain.
Designing of Tele-Health Smart Sensor Device to assist home care staff
Authors: Chandrasekaran V , Vijendra Babu D , Thanikaiselvan V , Somasundaram K 
Published: July 2021

Abstract
The use of mobile devices in the medical and healthcare world has been a determining factor. The whole region has a mobile health sticker (mHealth). For mHealth, it is important to develop and use mobile applications. In turn, mHealth applications have innumerable targets and objectives. As a result, in the app stores, mHealth apps can be found in MediBuddy names, doctors on demand etc. While these applications are readily accessible in the google play store, this creative application’s primary aim is lacking, which is the accuracy of medical details. One does not communicate to the doc who is, on the other hand, exactly with his body temperature or pulse rate or pressure level. Therefore, we propose a prototype in this article that provides the mobile application with the necessary information through serial communication using the Bluetooth, which is sufficient for the doctor to prescribe medicines.
Queue Time Estimation in Checkout Counters Using Computer Vision and Deep Neural Network
Authors: Rajvanshi Aseem , Pramod Dhanya 
Published: July 2021

Abstract
In this busy world, everyone wants to make decisions that are more efficient and save their time and not cause/ incur them loss. Sometimes they even get skeptical about making the decision. A similar situation arises when we are required to decide which queue, we should join for billing of the items during the weekend rush in a posh supermarket. To crack this problem, this paper recommends using Computer Vision and Deep Learning Algorithms to estimate the time closely, a customer will take to reach the counter if they join a particular queue. The algorithm will estimate the number of items present in the trolley or the basket and the number of such trolleys in the queue. The next thing the program will measure is the employee’s efficiency who is present in the checkout/billing counter in terms of scanning the items, accepting the payment, and handing over the bill. This will help the customers to make better decisions and save time; it will also make the supermarket look less crowded and use all the counters/resources effectively.
Impact of Behavioural Biometrics on Mobile Banking System
Authors: Banga Lavanya , Pillai Samaya 
Published: July 2021

Abstract
The rise of online mobile banking systems has given customers a convenient and better way to interact with the bank as and when they want. Smartphones have revolutionized the world of payment. People now use mobile phones more often to make payments. But with increasing frauds and cybercrimes, customer experience and security become the major concern for any bank. In such situations, biometrics, especially behavioural biometrics, can be used. In this paper, we are going to discuss how behavioural biometrics can be widely adopted to reduce fraud. To increase the adoption of mobile payment acceptance, solutions need to be prioritized and reduce unnecessary obstacles. Customers demand mobile payments that are easy and quick. This is also used for fraud detection and prevention due to increased amounts of identity fraud attempts. Currently used methods for authentication such as passwords and email verification are quite problematic for security and user experience. This gives rise to behavioral biometrics. It is very important nowadays to authenticate the user throughout the session, and this is exactly what behavioral biometric do. Behavioral biometrics achieves this by invisibly running in the background and not interfering with the user experience. Fraud is significantly reduced by removing the setup authentication and risk-based authentication completely.
Perception Study on IOT Based Waste Management System
Authors: Kumar Atul , Dasgupta Hirak 
Published: July 2021

Abstract
The concern over proper waste management has been there for decades, but the increasing population and immense urbanization have made the masses accept it as a serious issue. The unhygienic surrounding originating due to over spillage of dustbins is degrading the environment, which gives birth to numerous health issues. With the conceptualization of the internet of things (IoT) over the last decade and enhancement in internet infrastructure, these have become an integral part of the human lifestyle. The upcoming 5G technology will revolution the way of communication between static and mobile IoT devices. This will enhance community access to IoT devices. Thus, this has led to the concept of a “Smart Waste Management System,” an embedded system consisting of modern sensors, microcontrollers, memory, communication devices, etc. enabling real-time Monitoring for smart bins leading to reduce garbage collection cost and fuel consumption. This paper discusses a variety of IoT device’s implementation and societal perception on challenges and opportunities concerning India. Descriptive research was carried out upon data collected, and statistical analysis was done to study the differences concerning demographic, psychographic, behavioral, and geographic segmentation. The research will also provide insight to companies as well as to the waste management authorities into the commercialization of the “Smart Waste Management System”.
Internet of Things (IoT) on E-commerce Logistics: A Review
Authors: Sharma Vikas , Gandhi Madhup Kantilal 
Published: July 2021

Abstract
A revolutionary technology Internet of Things in the global infrastructure of e-commerce business that provides extreme transparency to supply chain management and other related departments. In RFID technology, network transmission interconnection, signal processing, and computing information are common, and the continuous link is achieved between products or customers and products. The actual-time data achieved through RFID further helps in monitoring activities of products from production to warehouse to end customer, and thus efficiency in managing the system and methodical management is possible. In this review, the trends of expansion of IoT in e-commerce through different phases or stages have been studied, starting from when e-commerce meant telesales. Also, this study talks of various advantages this IoT technology has brought to the e-commerce industry, then talking of challenges in e-commerce enterprises which includes both technical and personal perspectives. This study also considers the working of IoT in production and warehousing logistics which are crucial for any type of supply chain work.