bluuebunny/crossref_metadata_2025 huggingface dataset:
Blockchain and GDPR – A Study on Compatibility Issues of the Distributed Ledger Technology with GDPR Data Processing
Authors: Suripeddi Mani Karthik Suhas , Purandare Pradnya
Published: July 2021

This research work aims to investigate Blockchain technology and GDPR compliance studies. This will analyze the data privacy perspective with respect to distributed ledger technology. Blockchain has become one of the most frequently discussed technologies for its ability to allow for peer-to-peer transactions without a centralized intermediary. The GDPR was implemented in May 2018 for EU member states to maintain data privacy. DLT, the underlying technology of blockchain as is a decentralized system without any monetary authority. This research conducted a thorough literature review on prior conducted research to investigate the problems and determine the gaps of GDPR compliance with blockchain technologies and discuss the technical, use-case designs or solutions that make blockchain more compliant GDPR in terms of privacy. This systematic literature review addresses the gaps, feasibility, efficiency, and data privacy issues on compatibility problems that are primarily concerned with how a distributed ledger technology system in which recorded data or transaction cannot be changed or erased is challenging the GDPR data subject access rights (DSAR), where every data subject’s personal data which is compliant to GDPR has a right to exercise their Rights to rectify, delete or limit the processing of your personal data at any time if necessary.
Secure B-IoT Based Smart Agriculture– A Brief Review
Authors: Raveena S , Shirly Edward A
Published: July 2021

The future world is moving towards creating innovative technology where intelligent Smart lifestyles are created in homes, smart farming in the agriculture sector, and smart cities. The IoT is one of the world’s most famous inventions in the decade. Life is made comfortable by IoT by connecting devices and generating more than billions of data. However, a major concern in IoT is data security as it handles a large number of complex data. A security issue in IoT devices is a major concern. Blockchain IoT is a possible protection option. Blockchain IoT technology is used for enhancing protection in agriculture. The key focus is to resolve various phases of the farm supply chain by developing procedures. This paper discusses the security issues in IoT and how it overcomes by integrating IoT with Blockchain. Further, the discussion involves the application of IoT blockchain security in Precision farming.
Developing an Effective Graph Based Block Chain Framework
Authors: Ravi Prasad B , Saurav Swapnil , Sangeerani Devi A , Loganathan Venkateshwaran
Published: July 2021

Blockchain’s decentralized characteristic is recognized as a potential technology to deliver secure and safe resources. However, the existing blockchain networks cannot fulfil the transaction given the limited bandwidth for practical application demand. In this article, the cubic design of the conventional public blockchain is strengthened with the Directed Graph Probabilistic model. In the current structure, blocks of the lightweight structure are ordered in grades and width. We develop protocols to position newly created blocks in order to make them more effective and secure. It increases confidentiality and time for authentication of transactions in contrast with standard blockchain protocols and enjoys the accuracy and liveliness of blockchain. This paper introduces two potential methods for targeting opposition parties and we also show that the procedure against them is safe and stable. Experiments will generate three hundred inputs every second that is 64 times the output of Bitcoin’s transaction. This time Bitcoin’s production will hit 27 times its Ethereum’s.
An Improved Scheduling Algorithm for Cognitive Radio Networks under Different Traffic Patterns
Authors: Shyamala Bharathi P
Published: July 2021

In this paper we propose a spectrum sharing scheduling algorithm for an infrastructure based cognitive radio network. The problem is formulated to allocate channel to the secondary user (SU) based on the idle frequency band, distance, power, bit error rate and SINR. Two scheduling algorithms namely tournament scheduling (TMS) and optimized back–tracking scheduling (OBS) has been developed for the scenario where few primary and many secondary exist in a typical cognitive radio environment. The OBS and TMS algorithm has been implemented and simulated under different traffic patterns namely, Poisson and Pareto over constant bit rate (CBR), variable bit rate (VBR) and best effort services. The simulation result shows a considerable reduction in execution time for the OBS method under varying traffic load.
Transformation of Mobility Industry by Advanced Digital Technologies
Authors: Akash  , Kulkarni Prasanna
Published: July 2021

The world of mobility has always been a vanguard of scientific discovery. Artificial intelligence (AI) has already been used in motorsports, making the car more reliable and advanced. The digital transformation using AI and Machine learning in the automotive industry is fast, creating huge monetization opportunities. Autonomous cars, sophisticated self-control, safe, secure, and high-performance vehicles, and even flying cars may be the future of mobility. This research paper discusses how AI and Robotics will transform the mobility sector. It discusses the use of AI and Machine Learning (ML)in driverless cars. It also studies AI and Robotics’ convergence, creating a platform and ecosystems for human–robot partnerships, making humans free for more critical tasks. The digital technology disruption of the mobile industry is not free from challenges. The paper also discusses challenges, possible solutions, and how the transformation can benefit humanity.
Hybrid algorithm in identifying the plant disease and to suggest medical advice
Authors: Roopa D , Murukesh C , Rayavel P , Renukadevi B , Eswaran Malathi
Published: July 2021

Agriculture sector is the most important which is the reason for the life of every human being and every living objects in this world. The top tier problem of all formers in agriculture is to recognize the disease affected in a particular crop and their causes. Some disease spread easily and quick that may lead to disaster in the targeted production of that particular period. To overcome this problem, it would be best to recognize the diseases affected at initial stage. There are many systems exist for recognize the disease but these systems are concentrate only on the particular parts of the plant such as leaf, steam etc, and more over they did research using artificial neural networks (ANN) and some of the paper using support vector machines algorithm (SVMs). By using these algorithm, they can only detect whether it is affected or not and also they can concentrate only on the particular parts of the plant such as leafs. But this is not efficient. To overcome this demerit in our proposal we are aimed to concentrate on the entire plant for this purpose we are using the combination of following algorithms recurrent neural networks (RNNs), support vector machines (SVMs) and random forest algorithm. By using these algorithm, we can design a system which is more efficiently identify the plant’s diseases compare to the previous systems which is based on the image(plant) provided by the end user after identification process we provide complete information about the plant’s current condition and what type of pesticide should be used and how long it to used. In our system we are also plan to provide periodic intimation to the end user for the image of the affected plant for the purpose of tracking the diseases condition and provide complete agri assistant until the plant completely recovered from the disease. Our proposal mainly concentrates on the formers who are all not having sufficient knowledge about the plant disease, this system will save money and time of the formers.
Medical Quora Tagging using MATAR and LDA Algorithm
Authors: Elangovan G , Umamageswaran J , Indumathi G , Kalpana A V
Published: July 2021

The success of clustering or classification methods the detection of relevant textual formats is incredibly meaningful. The high dimensionality and irrelevance of textual materials was subjected to text records. Existing methods lack integration and are particularly vulnerable to original value. Metaheuristic algorithms are also applied to solve the challenges of standard classification algorithms. In this paper, an enhanced Latent Dirichlet Assignment clustering method & Inter Modeling for Tag Suggestion rating system is documented to boost correlation - based & identification efficiency to suggest labels with material modern web labels that promotes the exchange of medical information using unmonitored data through question-answering. For accurate tagging, Methods like POS marking, Hopping, Whistles& Stopping words are being used for speech recognition. The efficiency of the evolved architectures is compared to the standard methods, by using specificity of the recommendation, defining features, sensitivity, plain word and speed. The findings reveal that the classification and grouping scheme of the proposed structure succeeds traditional textual record approaches.
Design of Intelligent Control and Monitoring System for Agriculture Based on Renewable Energy and IoT
Authors: Ramasubramanian M , Rathish babu TKS , Anantha Krishna V , Syed Khasim
Published: July 2021

As the population rises, agriculture is becoming a big growth field worldwide. Improving production and farm efficiency without constant manual supervision to satisfy the rising demand for food is a major challenge in agriculture. Climate change is also a significant issue for the agriculture industry, aside from the growing population. The research aims to provide the Internet of Things (IoT) with an intelligent agriculture system. Intelligent farming that provides high precision crop management, helpful data collection and automatic farming techniques can be used. This work provides an intelligent framework to track ground moisture and temperature in agriculture. Without human interference, appropriate action is taken after analyzing sensed data dependent on these principles. Temperature & relative humidity are assessed and processed for further data analyses in the Thing Speak Database.
A Completely Distributed Blockchain Period Authentication Framework
Authors: Kavitha V , Geetha D , Karunkuzhali D , Manikandan G
Published: July 2021

The time capsule that would be opened in the future without third-party intervention was always a difficult issue. Although many researchers work on various systems, there are potential limitations, such as unreliable decryption period not entirely decentralised, which are difficult to estimate the needed data resources. In this post, we introduced a protocol and a safe cryptographic way to open a timely message in an advanced, decentralised environment to match in with several computing power conditions. The methodology also allows participants to gain extensive benefits of adding their computing resources, making our system more suited for applications in real life.
Study of the Usability Testing of E-Commerce Applications
Authors: Jain Samkit , Purandare Pradnya
Published: July 2021

Usability Testing determines the friendliness of the application to meet customers’ requirements. It must be adopted in the early stage of SDLC (Software Development Life Cycle) to avoid issues in a later stage. Today, E-commerce has revolutionized the mode of shopping, and thus, we need to focus on ways to improve the usability of e-commerce applications. We opted for survey questionnaires as our research methodology, along with testing websites using online tools based on the four parameters Connectivity, Readability, Accessibility, and Functional Performance. In the survey, the four most popular e-commerce applications were Amazon, Flipkart, Bigbasket, and Paytm. Out of which, Amazon was the most used e-commerce application by the consumers. Although, testing tools are depicted that applications need to improve in certain areas. From the analysis, we concluded that consumers are aware of the upcoming Jio-Mart, which can give tough competition to existing companies. Thus, all the existing e-commerce companies need to improve their web and mobile applications to retain their customer base.
A study of the cloud security attacks and threats
Authors: Sureshkumar V , Baranidharan B
Published: July 2021

Cloud storage has become an essential computational model today, providing flexible, defective resistant resources and dramatically reducing costs. However, there are major obstacles to protection issues in the wider adoption market. The multiformity of the cloud and the multi-location storing of data exacerbate these problems. The major issues to be discussed in protection are secrecy, authenticity, honesty, availability and auditability. Enabling more customers to switch to the cloud environment would allow for safe data and transfers from the service provider. Intrusion Detection Mechanisms, Cryptographic Methodology and Electronic Forensic Software are some of the assurance that a trustful service provider will have for the recuperation and collection of digital proof of intrusion activities. This paper provides a survey into some of the prevalent challenges, risks and ways to resolve these challenges in cloud platforms. We also discussed major cloud storage service for data storage and protection model.
Blockchain Confidence Protection and Cloud Chain Management Support
Authors: Nagalakshmi M , Saravanan K , Jabirullah Mohammad , Rajesh Kumar T
Published: July 2021

Verification and completeness are main challenges for today’s ever more diverse supply chains. Even with the ability to counter blockchain technologies by offering a trail of manipulation-resistant audit It does not address the confidence issue associated with the source chain activities also information related to a produce life cycle Information itself. Reputation mechanisms are a promising solution for this faith problem. Yet existing structures of credibility are Not ideal for supply chain applications based on blockchain as centred on restricted findings, lack of granularity and their overhead was not discussed and automation. We recommend the system as a three-layer faith in this job. Management platform is using a blockchain consortium tracking relationships between actors in the supply chain and Assign trust and prestige dynamically dependent on these interactions. Its novelty is based on a Model for credibility assessing product quality and the trust of individuals based on many observations funding for credibility qualities in supply chain incidents separating the member in the supply chain from the goods, enables brand credibility to be reserved for smart contracts for straightforward use by the same participant, Effective, secure, and automatic credibility scoring measurement, and the latency and throughput minimum overhead as compared to a straightforward supply chain model based on blockchain.
Artificial Intelligence in Cyber Security
Authors: Das Rammanohar , Sandhane Raghav
Published: July 2021

Without substantial automation, individuals cannot manage the complexity of operations and the scale of information to be utilized to secure cyberspace. Nonetheless, technology and software with traditional fixed implementations are difficult to build (hardwired decision-making logic) in order to successfully safeguard against security threats. This condition can be dealt with using machine simplicity and learning methods in AI. This paper provides a concise overview of AI implementations of various cybersecurity using artificial technologies and evaluates the prospects for expanding the cybersecurity capabilities by enhancing the defence mechanism. We may infer that valuable applications already exist after the review of current artificial intelligence software on cybersecurity. First of all, they are used to protect the periphery and many other cybersecurity areas with neural networks. On the other hand, it was clear that certain cybersecurity problems would only be overcome efficiently if artificial intelligence approaches are deployed. In strategic decision making, for example, comprehensive information is important, and logical decision assistance is one of the still unanswered cybersecurity issues.
Movie recommendation system using clustering mining with Python
Authors: Sadhasivam Jayakumar , Cera Juan Manuel , Deepa R , Satheshkumar K , Muthukumaran V , Satheesh Kumar S , Angeline Kavitha M
Published: July 2021

The research we are pursuing here is about building a system which we will use and mine a movie review database using concepts of statistics like Euclidean Distance algorithm. This will help us determine similar review according to the ratings. What we plan on achieving through this approach is to analyze the reviews to suggest a suitable critic according to one’s preferences and one’s taste. We will do this according to the review we select and our algorithm which we use upon it. This algorithm will be the key to find those similar reviews. We are going to use Python programming to program this experiment. We have chosen to pursue this because of not the reviewers being incorrect or correct but merely different according to their preferences and their lean towards a certain genre and we know that a reviewer should also match the taste of the person who want to feel benefited of the review itself. So, we plan to make system that could help with that.
Assessment of the Effects of Blockchain Based Protection in Network Performance
Authors: Murali Mohan Babu Y , Radhika K , Saravanan T R , Periasamy J K
Published: July 2021

Blockchain is popular as the distributed directory under Blockchain, which safeguards the transaction history in a completely linked network of peers. For double-dollar secrecy, a Bitcoin transaction is only called irrevocable after it’s on the blockchain, a chain comprising at least six mined blocks — shortly, “six confirmations.” In addition to the usage of blockchain technologies for securing funding, the Internet of Things and the ad hoc vehicle network are now paired with other new technologies (VANET). Nevertheless, these modern apps could have relatively poor Internet access because of the integration of handheld devices that may be placed outside network networks. This paper discusses the influence of latency on forking actions by blockchain and potential breaches of the above six transaction acceptance confirmations convention. We simplify the data structure of blockchain and prevent detailed calculations needed for proof of operating to speed up our simulations (Pow). By simulating, we prove that the convention of six confirmations is vulnerable to the latency of the peer-to-peer system besides also illustrate how easy it is disrupted by simpler mine-mining problems. It is not shocking that the lateness of the underlying peer-to-peer network has seriously impacted the tempo at which all nodes converge in the blockchain. It is also seen to the degree nodes with more regular Internet access will benefit unfairly from proof-of-work mining benefits. We therefore propose to track fairness with heterogeneous latency profiles across nodes, which can prohibit any nodes from being miners.
Some aspects of weak directoids and ortho complemented weak directoids
Authors: Sundarayya P , Ravi Kishore T
Published: July 2021

Directoids are introduced by Ivan Chajda.In this paper, a weak directoid is introduced. Some equivalent conditions to a weak directoid to be directoid are derived. Some properties of congruences on the commutative directoid and ortho complemented week directoids are derived.
A Data Centre Configurable Data Mining Document Management Information System
Authors: Gurusubramani S , Mouleeswaran S K , Srinivas Porandla , Aruna R
Published: July 2021

Data extraction is often a dynamic process that can be easily modelled as a workflow for data processing. When massive collections of data have to be evaluated and/or sophisticated data mining algorithms have to be performed, it can take very long to execute data analysis workflows. Effective technologies are also needed to incorporate flexible data collection workflows through the use of cloud-based storage platforms, where data is stored even more regularly. The paper attempts to show how cloud infrastructure is implemented to introduce an optimised framework in which scalable data analyzation workflows can be planned and performed. We explain how the Data Mining Cloud Architecture is built and applied and a data analytics method that incorporates visual workflow vocabulary, parallel to the Virtualized environment. DMCF is developed with a view to simplifying the creation of applications for data mining associated with generic system monitoring schemes that are not created especially for this area, in view of the specifications of actual data mining applications. The effects are a high-level environment that minimises the programming effort with an optimised visual workflow language, allowing the implementation of typical patterns meant to generate and execute data mining application in parallel simple to professional developers. The wall mounted of the workflow, device design and mechanisms of the DMCF are shown. We also address many DMCF-developed data mining business processes and the scalability achieved by running business processes in a cloud environment.
Random Forest-Based Method for Micro Grid System in Energy Consumption Prediction
Authors: Raj Murugananth Gopal , Pradip C , Saju N , Tresa Sangeetha S V
Published: July 2021

As a solution to mitigating rising energy needs, microgrids (MG) have arisen. But instead of microgrids are focused mainly on unconventional sources of energy. In their service, there is significant variability. Energy users will not know if their estimated load is long or short related to historical records. This paper aims to formulate a robust energy prediction of consumption in the microgrid system that uses random forest (RF) method theory as the mathematical framework. Effective MG energy forecast plays an essential role in power improvement MG efficacy. Comparing RF models with various parameter configurations and examining the parameters setting affects the model’s estimation efficiency.
Shift Learning by Integrating Image and Subsystem Training for Edge Detection in Medical Images
Authors: Ramapraba P. S. , Kishore Somala Rama , Jayanthi S. , Kumar R.
Published: July 2021

Several approaches for segmenting clinical data are focused on controlled vertex shade labelling. In particular, such strategies work well if the training set reflects the test pictures per chapter. However, issues can occur in the preparation and testing process, for instance, due to variations in scanners, procedures, otherwise patient classes, lead to distinct concentrations. In these situations, weighing images based on distribution similarities has shown a substantial improvement in inefficiency. To suggest that most of the training examples reflect the quiz information; it should not be similar to the deceiving information. Therefore, we examine the importance of kernel learning to weigh images to minimize discrepancies between training and test results. A local feature measurement scheme has been proposed to minimize the average distance between training and testing data that allows image weights and Kernel to be jointly optimized. Experiments on brain tissues, lesion of white material, and hippocampus division demonstrate because both kernel processing and image calculation boost the efficiency of heterogeneous data dramatically if used separately. MMD weighting here works similarly to the image weighting approaches previously proposed. The combination of image measurement and kernel processing, independently or jointly optimized, could result in a slight additional performance increase.
An Efficient Approach for Low Power RFID
Authors: Satyanarayana T , Lakshmi Devi N , SivaKumar Reddy B
Published: July 2021

RFID communication systems are increasing drastically in recent days, but main drawbacks of present systems limiting the customer needs. The main feature should have by the communication system is security. Maximum present systems are providing security but whereas communication is not error prone hence security also went back foot, more over waiting time of tokens is more because of serial accessing, all the problems can de-addressed by our proposed method. In our proposed method parallel two stage operation called pre and post stages are introduces hence waiting time can be reduced. CRC error checking can be used for the error determination.
Design and Implementation of Wide Band for Biconical Antenna for X Band Applications
Authors: Swamidas Anitha , Sudhakar Alapti
Published: July 2021

This paper reflects architecture and pattern synthesis for biconical antenna. The Biconical Antenna Radiation Pattern is identical to the half wave dipole antenna. The ramp shaped Radiation pattern is obtained by varying different antenna parameters such as amplitude distribution, phase distribution, spacing between the element and number of elements. Biconical antennas (2-14) GHz operating range gives reflection co-efficient- 0.46; return loss- 10dB, VSWR- 2.5:1, Gain (2-4) dB with 50Q input impedance.Biconical antenna was designed using CST Microwave Studio.
Design of Compact Multiband Antenna
Authors: Gollapalli Avinash , Sandeep Kumar P , Rokkesh G , Nithish S , Hirawat Vishal , Rahul
Published: July 2021

This paper presents the design and analysis of a compact multi-band antenna employing multiple radiators, each radiator of different frequencies. The frequencies covered are 900MHz, 1800MHz, 2600MHz, 3500MHz, and 5500MHz. The height of each radiator is different for each frequency. The higher the frequency, the shorter the radiator. For example, the radiator’s height of 5500MHz is only 13mm, while 900MHz is 83mm. The ground plane is placed on the backside of the substrate. The main challenge is to fit all the radiators on the single substrate while keeping the substrate’s size constant, compact.
Synchronized Multi-Rate Test Pattern Generation Using Hybrid Twisted Ring Counter and LFSR for BIST Application
Authors: Sri Priya C M , Sarada V
Published: July 2021

This work presents a new approach for built-in test pattern generation (BIST) based on the variable rate clock-driven linear feedback shift register (LFSR) and twisted-ring counters (TRCs). The proposed technique operates on different operating clocks for generating deterministic test pattern sequence for the circuit under test (CUT). The test vectors generated by LFSR are transformed and reproduced with TRC results. The TRC design constitutes of only flip-flops, which be used as a potential alternative to improved seed storage and complex multi polynomial configurations in LFSR.

Moreover, the control logic is simplified with synchronized multi-rate clock generation and can be easily extended for any test cubes among multiple CUTs. The randomness characteristics of LFSR are retained with improved memory efficiency and considerable complexity reduction. Experimental results validate the proposed test pattern generator (TPG) over existing well-known LFSRs models, and its randomness is proved with ISCAS benchmark circuits.
Diffraction Based Image Synthesis
Authors: Vijay Kumar Gowda B N , Gauni Sabitha , Maik Vivek
Published: July 2021

In this paper, we explore the analysis of optical lens systems by using diffraction-based image synthesis. The resolution and strong contrast are the major characteristics of the image produced from the high-quality optical lens system. To check the image’s quality using the PSF, Image Simulation (IMS) method with a fast Fourier transform convolution algorithm. The Strehl ratio is a measure of the quality of optical image formation from the imaging system. It is well-defined as the ratio of peak focal irradiance to the diffraction-limited peak irradiance. The image quality assessment is done by code V up to scent percentage if the image quality is too good and the Strehl ratio is more. Image quality is worse than the Strehl ratio percentage is low. Finally compute with the sample optical lens system Strehl ratio between automatic optical lens design Strehl ratios in Code V.
HNS Advanced Encryption Standard: An Enhanced Security Approach for IoT Communication
Authors: Kassab Mohamed , Nithya V , Mokyed Mohamad Sadek
Published: July 2021

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.