bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Carleman regularization technique in the modelling of the plane E‐polarized electromagnetic wave scattering by a flat system of impedance strips
Authors: Koshovy George I. , Koshovy Andrew G. 
Published: May 2021

AbstractThe Carleman method of analytical regularization is used to model the plane E‐polarized electromagnetic wave scattering by flat grating of a finite number of impedance strips. It is based on a modification of the singular integral equation technique, the perturbation method and the Carleman inversion formula for the simplest logarithmically singular integral equation. Attention is focussed on the asymptotic model of the plane E‐polarized electromagnetic wave scattering by a sparsely filled impedance strip grating. In this case, the corresponding singular integral equation system has an explicit solution. This result is important to verify direct numerical methods. The scattered electromagnetic field in the far zone is successfully analysed with the aid of the asymptotic solution derived for electrically narrow strips.
Opening the air‐chamber of an oscillating water column spar buoy wave energy converter to avoid parametric resonance
Authors: Davidson Josh , Henriques João C. C. , Gomes Rui P. F. , Galeazzi Roberto 
Published: May 2021

AbstractThe oscillating‐water‐column (OWC) spar‐buoy is a type of wave energy converter that may exhibit undesirable large roll and pitch amplitudes caused by a dynamic instability induced by parametric resonance. The occurrence of this phenomenon not only reduces the power extraction but significantly increases the structural loads on the buoy, the turbine rotor and on the mooring system. The paper compares the parametric resonance behaviour of two configurations of an OWC spar‐buoy using experimental data obtained in a wave flume at a scale of 1:100. The configurations investigated were: (1) closed and (2) fully open‐air chamber. The experimental tests covered a wide range of regular and irregular waves, as well as in free decay experiments. Results showed that opening the air chamber reduces the coupling between the buoy and the OWC within, thus shifting the damped natural heave frequency of the system in comparison with the closed chamber configuration. This effect changes parametric resonance characteristics of the two configurations due to the coupling between roll/pitch and heave modes. Moreover, for specific wave frequencies, the occurrence of parametric resonance observed when the chamber is closed do not occur while the air chamber is fully open. These results suggest the possibility of controlling a pressure relief valve installed on top of the device to reduce parametric resonance whenever this dynamic instability is detected.
Macroscopic on-site evaluation (MOSE) of specimens from solid lesions acquired during EUS-FNB: multicenter study and comparison between needle gauges
Authors: Mangiavillano Benedetto , Frazzoni Leonardo , Togliani Thomas , Fabbri Carlo , Tarantino Ilaria , De Luca Luca , Staiano Teresa , Binda Cecilia , Signoretti Marianna , Eusebi Leonardo H. , Auriemma Francesco , Lamonaca Laura , Paduano Danilo , Di Leo Milena , Carrara Silvia , Fuccio Lorenzo , Repici Alessandro 
Published: May 2021

Abstract
Background and study aims The standard method for obtaining samples during endoscopic ultrasonography (EUS) is fine-needle aspiration (FNA), the accuracy of which can be affected by the presence of a cytopathologist in endoscopy room (rapid on-site evaluation [ROSE]). With the introduction of fine-needle biopsy (FNB), macroscopic on-site evaluation (MOSE) of a acquired specimen has been proposed. Only a few studies have evaluated the role of MOSE and in all except one, a 19G needle was used. Our primary aim was to evaluate the diagnostic yield and accuracy of MOSE with different needle sizes and the secondary aim was to identify factors influencing the yield of MOSE.
Patients and methods Data from patients who underwent EUS-FNB for solid lesions, with MOSE evaluation of the specimen, were collected in six endoscopic referral centers.
Results A total of 378 patients (145 F and 233 M) were enrolled. Needles sizes used during the procedures were 20G (42 %), 22G (45 %), and 25G (13 %). The median number of needle passes was two (IQR 2–3). The overall diagnostic yield of MOSE was of 90 % (confidence interval [CI] 86 %–92 %). On multivariable logistic regression analysis, variables independently associated with the diagnostic yield of MOSE were a larger needle diameter (20G vs. 25G, OR 11.64, 95 %CI 3.5–38.71; 22G vs. 25G, OR 6.20, 95 %CI 2.41–15.90) and three of more needle passes (OR 3.39, 95 %CI 1.38–8.31).
Conclusions MOSE showed high diagnostic yield and accuracy. Its yield was further increased if performed with a large size FNB needles and more than two passes.
A case of Helicobacter pylori-negative early gastric adenocarcinoma with gastrointestinal phenotype
Authors: Takatsuna Masafumi , Azumi Rie , Mizusawa Takeshi , Sato Hiroki , Mizuno Ken-Ichi , Kato Takashi , Yokoyama Junji , Ajioka Yoichi , Terai Shuji 
Published: May 2021

AbstractA 40-year-old man with slightly depressed (0-IIc) type gastric cancer of the pyloric anterior gastric area underwent pre-operative screening for tetralogy of Fallot and endoscopic submucosal dissection (ESD) and was tested for Helicobacter pylori antigens and antibodies. Both tests were negative. He did not have a history of eradication. Pathological diagnosis of ESD showed a well-differentiated adenocarcinoma. The tumor was CD10-positive, MUC5AC-negative, and MUC6-confocal positive; it showed differentiation with gastrointestinal phenotype. Moreover, the tumor cells were lysozyme-positive, resembling Paneth cells. Mucosal glands exhibited intestinal metaplasia on the anal side of the tumor lesion. On the oral side of the tumor, metaplasia was non-existent, with normal pyloric glands present in the mucosal layer. The patient was not infected with H. pylori; however, intestinal metaplasia existed around the early gastric cancer. This suggested that the intestinal metaplasia occurred due to bile reflux, and the gastric neoplasia arose with the metaplasia without an H. pylori infection. This case may potentially help explain gastric cancer development in the absence of H. pylori infection.
Analysis and Classification of Active Sludge in wastewater
Authors: Selvan Shirley , Joseph J Ferin , Dinesh Raj KT , Bertlyn Joseph S 
Published: May 2021

Abstract
Active Sludge particles in wastewater or sewage water treatment plants are analyzed. Based on the analysis report, the water is treated to improve the quality of water so that it can be reused. Microscopic images of water samples are obtained from municipal Active Sludge wastewater treatment plants for analysis, so that particles can be viewed clearly. A method that exactly determines the length of filamentous bacteria and flocs segmented from the images is proposed in this paper. Texture and shape features are extracted from the filaments and flocs. An SVM classifier is used to classify the flocs and filaments using the features extracted. Based on the distribution of sludge particles in a particular area, Artificial intelligence is used to find the process of chemical treatment. This helps in treatment of wastewater for further reuse.
BSO feature selection based machine learning solar radiation prediction
Authors: Kumar T Rajesh , Harshini A , Mirunalini S , Mohana L 
Published: May 2021

Abstract
Benefits of solar power production is constantly increasing to the electrical power grid. Renewable energy sources are becoming alternatives for energy resource around the world. In order to reduce environmental pollution and CO2 emissions, an ideal solution is provided to overcome the energy crisis. Renewable energy forecasting improves the accuracy and significantly improved by developing more solar forecasting models using numerical weather predictions. The solar radiation value reaching the system is very important in determining the energy production potential of the solar energy system. In this, we discuss the development of the project with machine learning combined with multiple metrological models to improve the accuracy of solar radiation forecasting. To implement combination of two models, Bird Swarm Optimization algorithm for select features and for classification Convolutional Neural Network is used. CNN is a system prediction which are including numerous atmospheric based on satellite images or several other weather prediction products.
Underwater cable monitoring system using Bot
Authors: Saravanan S , Pugalhanthi P Lenin , Sathiyapriya S , Sridhaniksha M , Swetha B 
Published: May 2021

Abstract
Underwater fiber cable carries lot of sensitive information between countries so, it is important to continuously monitor the quality of the cable. The principle of reflection of an echo signal is proposed for detecting damages in the submarine cable. Through the process of an ultrasonic sensor, the faulty part can be identified and monitored. It describes a wireless controlled submarine bot that can move underwater and can be controlled by a mobile application. An Arduino-based IoT platform is used to process, transmit and receive all the information to the control room, about the submarine cables. A camera is used to detect the status of the cables. The damaged spot and the distance of the fiber cable’s dislocation are also measured and indicated to the control room for further analysis. This robot can be used for various purposes such as oceanographic surveys, underwater monitoring, pipeline monitoring, and subsea inspection.
An Intelligent communication system for fisherman
Authors: Sureshkumar R. , Ilakkiya C A 
Published: May 2021

Abstract
In our day-to-day life we hear a lot of news about fishermen, once out on the sea the fishermen are subjected to various oceanographic and climatic conditions. The fishermen are unable to get the help from the government during emergency situations. This project gives them a solution to get rid of those problems. The Raspberry pi model 3B, DHT22 (temperature and humidity) and BMP180 (pressure) are the sensors connected, to indicate the formation of cyclone. Neo 7m GPS module is interfaced to monitor the location of the boat all the time. It compares the current data with the reference data fed within the processor, in case of any deviation the buzzer will indicate that they have crossed out Nation’s border. We have also fed the location of the islands in the particular zone, so that they can land safely when the cyclone is severe. We can also use a series of transmitters and receivers to transfer the message from the land mass or the coastal guards to the fishermen in the boat. In future, ISRO is planning to make marine communication successful with the help of launching a satellite. This helps to communicate their nearby land location to the rescue team or their family members.
Metro Cable Negligence Disclosure using IOT
Authors: Margret M Kavitha , Kuma P M Arun , Abishek R , Nair Abhishek V 
Published: May 2021

Abstract
Underground links are inclined to a wide assortment of flaws because of underground conditions, mileage, rodents and so on diagnosing the shortcoming source is troublesome, and whole link ought to be taken out from the beginning check and fix flaws. The venture work is proposed to identify the area of deficiency in underground link lines from the base station in km utilizing an Arduino regulator. To find an issue in the link, the link should be tried for flaws. The current would fluctuate contingent on the length of flaw of the link. In the metropolitan regions, the electrical links run in underground rather than overhead lines. At whatever point the flaw happens in underground link it is hard to distinguish the specific area of the issue for interaction of fixing that specific link. In case of fault, the voltage across changes accordingly, which is then fed to an develop precise digital data to a programmed Arduino that further displays fault location in distance. The fault occurring distance, phase, and time is displayed on a LCD interfaced with the microcontroller. Internet of things (I.O.T.) is used to display the information over Internet using the personal computer (P.C).
Secure Ring Signature based privacy preserving of Public Auditing mechanism for outsourced data in cloud computing paradigm
Authors: Srivaishnavi D , Arjun T , Dhyaneshwaran K , Deepak R 
Published: May 2021

Abstract
Cloud computing offers a high scalable environment for data outsourcing in the cloud. This allows a user to access all the cloud applications of any complexity, without thinking about the limitations of the local system infrastructure. It also provide medium to share the data among others. However originality and authenticity of data that is stored in cloud is an open challenge as it has large provision for data lose and date correction. In order to prevent the outsourced against various challenges, many tradition data auditing mechanism on employing third party auditor has been provided in the literatures with computation and communication capabilities. A portable data management system to will be able to perform auditing process, so that we can ensure the accuracy of the data which is stored on a unreliable third party server. This process is done without even, retrieving all the data. Despite of various advantage of public auditing, preserving the identity privacy from third party auditor has become vital task for the current research. In this paper, we have proposed a reliable and secure ring signature for preserving the privacy of data that is outsourced and shared, using public auditing in the computing paradigm. In this work, ring signature is exploited to privacy preserving of the data auditing of common outsourced data. Further the idea of ring-signatures has to be used to build the authenticator on each block of the data that is outsourced, while keeping maintaining the authenticity of the shared-data to be audited. Finally this model can support multi auditing task simultaneously. Experimental analysis on the proposed system proves that it is more secure and highly efficient against data based attacks. Evaluation the performance of the proposed model has been validated that it outperforms state of arts approaches on computation cost and time.
Intelligent Appliance Control System Using IoT
Authors: Samitha B , Santhosh Kumar E , Saravana Kumar C , Srinath B , Dhivya Devi R , Venkatesh T 
Published: May 2021

Abstract
Automation systems have recently gained popularity due to their user-friendly design and ability to manage energy waste. This automation system is linked with “Internet of Things (IoT)” in order to be operated remotely. “Smart Home Automation System (SHAS)” is the name given to this system. In this paper, we take an approach to design a system that uses less resources and can be targetted and managed remotely. For this system, the Internet networking module Node MCU (ESP8266) is accessed through the Internet is connected with main control unit of the supply. The Blynk framework, which is multimodal and web-based, is used for home automation system. The main subject of this paper is to boost our home automation intelligence.
Security Aware High Scalable paradigm for Data Deduplication in Big Data cloud computing Environments
Authors: Anitha P , Dhanushram R , Harihara Sudhan D , Indhresh T R S 
Published: May 2021

Abstract
The challenge of data deduplication has piqued the interest of the research community in order to provide effective and efficient solutions for cloud data centres to remove bottlenecks caused by duplicate data on the exponential growth of outsourced data. An Imminent challenge is the presence of high redundant existence in the storage memory of the cloud environment. Traditional algorithm has been employed to mitigate the data duplication in the cloud environment but it is a daunting task since it requires an effective solution to manage the duplication in the application basis to eliminate the privacy violation on sensitive data. In order to tackle above mentioned issues, a new paradigm named as Security Aware High Scalable has been proposed on large scale computing data centres. Proposed method employed to secure the data Deduplication process using access control mechanism on data of the privileged authorities. Outsourced data will be in the form of encrypted files. Access control mechanism is provided to the secure authorities to conduct the data deduplication on the data that was outsourced. Access Control Mechanism is employed using encryption techniques. It uses randomised encryption that is convergent and stable distribution of ownership party keys to enable the cloud service provider to handle outsourced access to data even though control changes on a regular basis This prevents data from being leaked not just to to those who have had their rights removed who previously owned the data, but even to a degree trustworthy yet suspect server for cloud storage. Furthermore, the proposed technique protects integrity of data from attacks based on label inconsistencies. As a measure, the proposed technique has been modified that enhances security. The efficiency review reveals that the proposed system is nearly as successful as the existing ones, with just a small increase in computational overhead.
A Compact UWB Antenna Design for Breast Cancer detection
Authors: Venkateshkumar Udayamoorthy , Yamunadevi S , Yogitha U , Ponraj S 
Published: May 2021

Abstract
There are many diseases in the world. The mostcommon and dangerous disease is cancer and the number ofcancer patients is increasing and the number of deaths alsoincreased. If we detect the cancer at early stages, we can beable to reduce the deaths. In this paper, a rectangular fix receiving wire is intended to identify the disease at beginning phases and this increment the higher opportunity to recuperate from disease. The compact low profile wearable antenna is used to detect cancer. Microstrip patch antenna is used in this project because of lowprofile, low cost, miniaturization of antenna, high bandwidthand high gain. This antenna is compact because, IR can beeasily fabricated on the printed circuit board unlike otherantennas. The square fix is utilized to defeat the complex construction. The substrate utilized is FR4 epoxy with dielectric steady of 4.4 and digression deficiency of 0.02.
Bluetooth Based Home Automation and Security System
Authors: Anitha G , Sathya M , Suganeswar S , Vignesh Raja G 
Published: May 2021

Abstract
In this paper, we have made a home robotization and security framework that will be extremely useful for the old matured individuals and truly tested individuals. For security reasons, we have also added a fingerprint scanner app to get access for the automation system. The possibility of this venture is to control home apparatuses by evading the threats of electric stun and make an agreeable life. And one of the prime ideas of this project is to eradicate the idea of ‘There is nothing without internet’ by replacing Internet with Bluetooth as the transmission medium.
A Safety Measuring Tool to Maintain Social Distancing On COVID-19 Using Deep Learning Approach
Authors: Pooranam N , Sushma Priya P N , Sruthi S , Sri Dhanya K 
Published: May 2021

Abstract
Due to this recent wave of the Deadly corona virus disease, which has spread widely all over the world, so physical or Social distancing has become a mandatory precaution to avoid close contact. As of January 2021, the count of affected cases is 10.8 million and recovered cases are 10.5 million and the death rate is 155 thousand. In conformity, we have proposed a system that elucidates the usage of Python, computer vision, and deep learning to monitor whether people are maintaining Social distance at public areas in roads, pathways, work places and, even in hospitals. For the purpose of monitoring social distances among people, we have developed a social distancing detection tool that can keep track of safe distance and determine the distance between people in order to reduce the impact of the corona virus pandemic by analyzing real-time video Streaming, such as CCTV or Camera which can be added with the security camera system at hospitals, workplaces, markets, Jewelers shop etc. As an output, the detection tool will throw A Voice alert or a Notification, so that people would be remained to maintain a social distance.
Optimization of Fuzzy Model for Signed Distance Method
Authors: Ranganayaki S , Kasthuri R , Vasanthi P 
Published: May 2021

Abstract
The research involves the estimation of minimum total cost of an inventory under both stable and imprecise environment. Demand related to unit cost is assumed here. Cost parameters and decision variables are uncertain in nature that are defuzzified by signed distance method. The KKT conditions are applied to optimize the objective function.. Numerical example is contributed to describe the comparison between crisp and fuzzy solutions.
A Comparative Study on minimum skew Clock tree distribution algorithms for high-speed Digital Integrated Circuits
Authors: Mathew Dominic , Sophia S , Pasupuleti Kiran Kumar 
Published: May 2021

Abstract
In this paper an extensive analysis on clock tree synthesis algorithms are carried out with conventional cts, Mesh based cts, Meshless Multi-source and flexible H-tree multisource cts with mesh. The algorithms are analysed with industry standard placement benchmarks. Latency, clock power, wirelength, number of buffers, and clock skew are observed. The clock distribution algorithm which provides a single digit least skew is picked, the pros and cons of that algorithm is elaborately discussed.
Interactive Internet of Things for real time crime reporting
Authors: Srividhya R , Nair Suma , Aishwariya Lakshimi N , Kushwaha Rajnikant , Bhattacharjee Sayantan 
Published: May 2021

Abstract
The purpose of the paper works as an emergency alert system for PROB detection using commercially electronic devices available commonly in the market for both detect and alert authorities’ functionality. PROB is a very useful and powerful device which is specially designed for women safety. It is designed in such a way that whenever somebody is in trouble they don’t have to sit and find contacts or find ways to send SMS, or message the near ones because with the single shake of their mobile device above the threshold value will automatically turn on our design application that get current location and send alert message to predefined two contacts. Continuously their location is monitored in case any changes made in previous location once again send location change information will be sent to predefined contacts. That process is made until manually stops the application.
Automatic teller machine abnormality detector using machine to machine technology
Authors: Prabaakaran K , Senthil Kumar R , Katta Pradeep , Abdul Riyas O S , Kavikumar K , Monish Kumar V 
Published: May 2021

Abstract
The Automatic Teller Machine (ATM) anomaly detection is an area of research aimed at preventing physical and electronic theft from ATMs as well as securing their installations. This is achieved by using Machine to Machine (M2M) technology. M2M is a communication technology. It allows for real-time tracking without the need for human interference. Using an anti-skimming defence device, we can detect fraud invisibly. An individual wearing a helmet or mask can be recognized using recognition technology, and anomalies can be identified using vibration and flame sensors. This application is used in ATM centres to improve security.