bluuebunny/crossref_metadata_2025_split huggingface dataset:
RETRACTED: Estimating the Imaging in Medical Science Using Image Processing Techniques
Authors: Mathur Sandeep , Shantanu Aditya , Rana Ajay 
Published: January 2021

Abstract
Automatic image search is proving prominent in the medical imaging domain because it includes commands such as division, extraction of vital elements of the agent, coordination, layout, monitoring, the examination of movement, estimation of defacement, and three-dimensional recreation. The character of the input images takes on a polar job within the scope of any image review task. The higher image quality produces simplified and less advanced procedures for image processing. Consequently, inexpensive processes such as clamping, geometric adjustment, edge enhancement, differentiation, or brightness review will be required for the image processing. Despite the difficulties, automatic techniques for processing and searching for images are applicable for processing and searching for images is applicable for a good range of uses. In this paper, there are techniques we have appraised to process and examine objects in the images. In the following sections, these techniques will be introduced in applications from drugs and biomechanics to development and material sciences.
IOT Model - UV based system for Sanitization of package surfaces
Authors: Yadav Anil Kumar , Rajpoot Dharmveer Singh , Prasad Shukla Shiv Shankar 
Published: January 2021

Abstract
Global issue corona pandemic and lock down has stopped the human life or disturbed. But this situation will not continue for longer period. Normality will take place and life smoothen, but people will fear at workplace due to unknown factors of the corona pandemic, they will be in a dwell mind situation whether to touch the things or not. In this research to mitigate or avoid such situation to think develop IOT devices along with a programmable-Ultra-Violet (UV) based system for sanitization of package surfaces. In this paper, we proposed an emphasized artificial intelligence based IOT - UV system for Sanitization of package surfaces, also developed novel algorithm for the IOT-UV based devices to enhance the efficiency of the disinfection devices in the context of low energy consumption. In order to evaluate performance of IOT-UV will be more efficient than Programmable-UV light in the context of low energy consumption.
Diabetes disease prediction using significant attribute selection and classification approach
Authors: Tiwari P , Singh V 
Published: January 2021

Abstract
Data Mining performs a major role in healthcare services because disease recognition and investigation contains a vast amount of data. These conditions generate several data managing problems, and to operate efficiently. The healthcare datasets are undefined and influential and it is extremely monotonous to manage and to operate. To get better of the exceeding problems, numerous analyses present various ML algorithms for different disease examination and prediction. The undertaking of disease identification and prediction is an element of classification and forecasting. In this paper, diabetes is estimated by major characteristics and the relation of contradictory characteristics is also categorized. Significant features selection was done via the recursive feature elimination with random forest. The estimation of our system specifies a powerful alliance of diabetes with (BMI) and with glucose level was drawing out using the Apriori approach. XGBoost has examined for the estimation of diabetes. The XGBoost gives better accuracy of 78.91% compared to the ANN approach and might help support medicinal professionals through treatment decisions.
Utilization of Iron ore fines using flocculating reagents
Authors: Gajbhiye Pratima , Kumari Ajita 
Published: January 2021

Abstract
The wastewater treatment is being given more importance nowadays, especially those which are not from the biological processes. If the polymers used for flocculation purpose are so that they do not cause harm to the water bodies and are environment friendly then they are being given more importance. We propose here a very simple flocculent which is prepared by blending of Polyvinyl alcohol (PVA) and Polyacrylic acid (PAA) which is safe for the water bodies and effective too. The proposed polymer has been successfully tried upon the iron ores flocculation tests at 0, 15, 20 and 50ppm. The obtained results were analysed for its iron content; they indicated enhancement of iron ore grade from 52.6% to 70.37% at 50ppm flocculent dose. The percentage recovery was found to be more for 15% pulp density at 20 % flocculent dosage.
Identification of Underground Faults using Internet of Things (IoT)
Authors: Rengaraj R , Venkatakrishnan G R , Adithya Pillai R , Abinandhan R , Dev Ganesh S , Aravind K 
Published: January 2021

Abstract
This paper aims at the detection of the fault occurring in an underground cable system, pinpoint the location of the fault using Extreme Learning Machine and convey the parameters of the fault occurred using Internet of Things (IoT). The underground cables have seen a steep increase in usage due to its many inherent advantages compared to the overhead cables. However, various methods to pinpoint the presence of fault in the underground cables of large lengths has proved futile and the communication of the fault information has been proved to be expensive. Our proposed project uses Extreme Learning Machine to detect the type of fault and to pinpoint the location of the fault in the system. Extreme Learning Machine Classification and Regression Algorithms are utilized to predict the type of fault in the system and the distance of the fault from the sending end. The regression algorithm is compared to other ML algorithms relevant to the subject matter at hand. The fault location conveyed by the use of GSM is limited by the fact that only text messages in the form of Short Messaging Services can be sent to the user concerned increasing the cost incurred by the user. Our project uses the internet to communicate through a big arsenal of methods, like e-mail and other social media services possible, thus widening the scope of communication while decreasing the size of the product.
Internet of Things Information Analysis using Fusion based Learning with Deep Neural Network
Authors: Goyal S B , Bedi Pradeep , Yadav Dileep Kumar , Vakil Nargis A 
Published: January 2021

Abstract
The development of the Internet of Things (IoT) is driven by recent technical advances and a growing melding of fields including sensing and actuating technology, integrated networks, radio and data processing. The vast number of IoT sensors produce high volume data for a wide variety of applications, such as intelligent house, intelligent health, intelligent engineering, smart transport, intelligent grid and intelligent agriculture. In order to promote improved decision-making, efficiency and precision, reviewing these data is a vital mechanism that renders IoT a successful market concept and paradigm- enhancing quality of living. While it is promising to improve the quality of our lives to obtain covered knowledge and inferences from IoT data, this is a complex task which traditional paradigms cannot carry out. Deep learning can play a key role in developing smarter IoT, as it has demonstrated promising effects in a number of areas such as image recognition, knowledge gathering, voice recognition, natural language processing, indoor location, physiological and psychological condition identification, etc. In this context it becomes imperative to explore the capacity of Deep Learning for IoT data processing.
Realization of 8 x 4 Barrel shifter with 4-bit binary to Gray converter using FinFET for Low Power Digital Applications
Authors: Ashok Babu P. , Siva Nagaraju V. , Mariserla Ramya , Vallabhuni Rajeev Ratna 
Published: January 2021

Abstract
Barrel shifter architecture is well known for bit manipulation in a single clock cycle. Due to its various operations and advantages, it is most likely used in the Arithmetic logic unit of every processor. Gray code is also known as reflective code which is widely used in digital communication for the purpose of error correction and error detection. In this project, an 8 x 4 barrel shifter is designed which is further connected to 4-bit binary to gray code converter. The barrel shifter is cascaded with binary to gray code converter so that this combination can be useful for the application of encryption of binary data in digital communications. It is designed in cadence virtuoso tool using FinFET technology at 18 nm node. The simulation results proves that the power consumed by the proposed design with FinFET technology is 11.92% less when compared with the conventional design with MOS transistors. Hence, this design can be used in application of low power digital communications. The functionality testing and verification is done using cadence virtuoso tool.
Fault-Tolerant Metric Dimension of Cube of Paths
Authors: Saha Laxman 
Published: January 2021

Abstract
For a simple connected graph G = (V (G), E(G)), a set R ⊆ V (G) is said to be a resolving set of G if every pair of vertices of G are resolved by some vertices in R i.e., every pair of vertices of G are identified uniquely by some vertex elements in F. A resolving set of G containing the minimum number of vertices is the metric basis and the minimum cardinality of the metric basis is called the metric dimension of G. A resolving set F for the graph G is said to be fault tolerant if for each u
∈
F, F \ {u} is also a resolving set for G and the minimum cardinality of the fault-tolerant resolving set said to be the fault-tolerant metric dimension. In this article, we determine the exact value of fault-tolerant metric dimension of

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n

3

.
Analyzing Human Robotic Interaction in the Food Industry
Authors: Grobbelaar Wonda , Verma Amit , Shukla Vinod Kumar 
Published: January 2021

Abstract
The food chain from farmer to fork has grown into a very complex sector. Industrial robots are being integrated in every part of the food chain in order to increase production, create a higher quality product to exceed customer expectations. As the bar on quality standards raises higher year on year, food safety and hygiene becomes an even greater priority and customer’s demands value for money. Food manufacturing robots are used all aspects of the food chain. Although the food sector is slow to adapt robots, the Food sector is the fourth most automatable sector. Robots are used for farming, transport, food production, packaging and delivering. [1] Robots are especially convenient for packaging of food items, where speed, consistency or high levels of repetition are needed. Robots usually win over humans in terms of efficiency and accuracy. The latest robots are equipped with intelligent vision, can multi- task and understand verbal commands. More businesses see the value in automation especially robotics which plays a vital role in process improvement. A smaller minority is still hesitant, sees it as a threat to their business, and is reluctant to implement robots. They argue that it will reduce jobs and employees will lose their valuable skills. The purpose of this paper is to identify, analyze and understand robotics in one of the largest sectors, the food chain.
RETRACTED: Improved biometric iris recognition using watershed transform
Authors: Bharadwaj S , Deepika K , Upadhyay K 
Published: January 2021

Abstract
With the expanding accentuation on the security, individual ID and check dependent on biometrics have been gathering broad consideration over the previous years. Recognizable proof of person depends on remarkable conduct or physical component of the person. The present reality is making quick improvement in its journey to understand the fantasy about making an easy to use, client caring climate. On correlation with numerous other biometric highlights, iris because of its extraordinary natural properties are appropriate for distinguishing proof. That is shielded from the climate, interesting fit as a fiddle, stable after some time, and contains a high measure of segregating data. There is an impressive ascent in the examination of iris acknowledgment framework over a period. The vast majority of the scientist zeroed in on the advancement of new iris acknowledgment models and calculations for good pixels iris pictures. In this paper, iris acknowledgment framework utilizing watershed change and 4-level Haar wavelet. Also, the coordinating of the iris code with the one that is in put away information base is performed by hamming separation. Proposed model essentially diminishes FAR and FRR esteems when contrasted with past works. Trial results are showing critical upgrades in iris check measure.
A Deep Learning based Method for Image Splicing Detection
Authors: Meena Kunj Bihari , Tyagi Vipin 
Published: January 2021

Abstract
Image manipulation has become an easy task due to the availability of user-friendly multimedia tools. The images can be manipulated in several ways. Image splicing is one of such image manipulation methods in which two or more images are merged to obtain a single composite image. These manipulated images can be misused to cheat others. This paper proposes a deep learning-based method to detect image splicing in the images. First, the input image is preprocessed using a technique called ‘Noiseprint’ to get the noise residual by suppressing the image content. Second, the popular ResNet-50 network is used as a feature extractor. Finally, the obtained features are classified as spliced or authentic using the SVM classifier. The experiments performed on the CUISDE dataset show that the proposed method outperforms other existing methods. The proposed method achieves an average classification accuracy of 97.24%.
Analyzing Reliable Transport Layer Protocol Performance
Authors: Kushwah Deepika Singh , Kumar Mahesh , Verma Lal Pratap 
Published: January 2021

Abstract
Transmission Control Protocol (TCP) is a reliable protocol uses for transferring data end to end in the network. It is used by many internet applications. It was originally designed to handle congestion issue in the network. It has many variants like Tahoe, Reno, New Reno. This paper presents the performance of different variants of TCP to identify how they work with varying network characteristics. The simulation is done with the help of NS2. The results show how different variants give their performance on delay, packet drops, and throughput. This is immensely important analysis, to know which variant is better for a specific criterion. This paper covers many variants and their nature of handling congestion regarding to changes in the network.
Study on Energy Reduction Techniques in STT-RAM
Authors: Durga Eswar Vura Sai , Devi Bhavani K , Nandan Durgesh 
Published: January 2021

Abstract
Spin Transfer Torque Random Access Memory (STT-RAM) is suitable to be considered for cosmic memory. In STT-RAM the altercative period of attractive burrowing intersection is exchanged by the showing up of turn enraptured current over the intersection and it appear to be the most preparing elective with the more thickness and low introduction power, one of the major test for STT-RAM is the more write current, this paper proposes dual source write assist circuit method to reduce the equal compose vitality that prompts a diminishing in power utilization and the limit voltage of dynamic transistor to rising temperature. The MTJ temperature will increase than the write error rate is reduced. The final result is by effective use of VDD and threshold voltage values the write energy will be reduced. Right now, results utilizing a CMOS 65-nm get to transistor and the 40-nm MTJ innovation affirm that the projected compose help strategy prompts 81% of robustness is spared and its further incorporates just 9.6% territory excess to a 16-kb of STT-RAM cluster. And furthermore, another compose help technique is proposed to the end the compose activity in the wake of exchanging happens in the attractive burrowing intersection (MTJ), thus the both compose time vitality utilization of 1T-1MTJ piece cells will create.
Study on Power Minimization techniques in SAR ADC Devices by Using Comparators Circuits
Authors: Divya Sree P. , Jyothsna Raj B. , Srinivas B. 
Published: January 2021

Abstract
Comparators play an important role in designing of SAR ADC. In this paper we achieve the required performance of SAR ADC at minimum power usage. Using of comparators will reduce the power and noise, Dynamic latch circuit used in comparator increases the speed. The differential amplifier is also discussed. Here we will get to know about Ramp ADC and also about various DAC’s like M-DAC and AUX-DAC. The time-interleaving technique is the design technique that is used to increase the speed.
Common Vulnerabilities Exposed in VPN – A Survey
Authors: Bansode Rama , Girdhar Anup 
Published: January 2021

Abstract
In COVID-19 Pandemic, Internet traffic has been increased by up to 90%. Work- from-home culture is initiated by almost every organization. The technology adapted to access the Enterprises Intranet is VPN (Virtual Private Network). Infrastructure administrators implemented/updated VPN with the latest versions along with the security scripts to access Intranet. However, the contingencies faced by the organizations are out of their scope. Now VPN security is a big challenge for almost every organization. The Veracity is that no one claims the full prove security system in their Infrastructures. The latest Vulnerabilities have been exposed and indexed in context to VPN Hardware’s/Software’s/Configurations and Implementations. In this paper, it has been decided to analyze the exposed VPN vulnerabilities, along with the ongoing issues which have not been listed to date through the survey. The mitigation policies have been proposed based on observations.
Cognitive OFDM-NOMA System: A succinct Study
Authors: Vamsi Krishna Chavatapalli Tarun , Deepika Chandana Mani , Saranya B.S. , Neeladri Murrey 
Published: January 2021

Abstract
Integration of non-orthogonal and orthogonal multiplexing used to enhance the capacity of the system is presented here. This is also called as cognitive OFDM- NOMA. Here we overcome some problems which are divided into sub problems i.e., the power allocation optimization, user scheduling and sensing duration, respectively. Orthogonal frequency division multiplexing (OFDM) for multiusers can also be done by clustering based radio allocation (RA) scheme. This will improve maximum usage of wireless communications by optimizing the sum capacity of secondary users. The users in same group have the same OFDM sub channels to enhance spectrum utilization. Mobile networks have used time/frequency/code domain for multiple access, while in NOMA the power domain will be used.
A Review on Image Processing Sensor
Authors: RadhaKrishna M.V.V. , Venkata Govindh M. , Krishna Veni P. 
Published: January 2021

Abstract
Image sensors are used in all digital cameras, mobile phones and all other devices where images are to be captured. The most common parameter used by consumers to compare the different cameras is the pixel array size which is usually given in Mega pixels. The image quality is better with a higher megapixel count. Another parameter to distinguish between the different cameras is the type of imaging technology used like CMOS (Complementary metal oxide semiconductor) or CCD (Charge coupled devices). In this review we will present the working principles of an image sensor and conversion of light to electrical signals and subsequently to an image. The functional differences between the CCD and CMOS sensors will also be presented.
Detailed kinetic modeling of nitroglycerin low-temperature decomposition
Authors: Glorian J , Baschung B 
Published: January 2021

Abstract
Nitroglycerin (NG) is mostly used as an ingredient in double-base propellant formulations. In this study, a first automatically generated detailed kinetic model of NG decomposition has been developed. The construction of this model was made possible by performing computations with the open source software package Reaction Mechanism Generator (RMG). To enable a faster convergence, significant intermediate species of NG decomposition and optimized operating conditions were indicated in the RMG input parameters. Thermochemical data related to the significant NG decomposition species were derived from ab initio calculations at the B3LYP 6-31G(d, p) level of theory. To validate the RMG-built mechanism, simulations were performed with CHEMKIN-Pro. Computed species profiles from simulations were compared with flash pyrolysis measurements from the literature. Sensitivity analysis were performed and the most important elementary reactions were identified. Some rate constants were slightly adjusted to improve the predictivity of the model. The model is able to predict the species concentration profile of the main pyrolysis products. Although experimental data are scares, this automated kinetic generation approach, applied to energetic materials, seems to be highly promising.
Self-propagating combustion simulation of sputter-deposited nano-energetic multilayer films
Authors: Shi Anran , Zhang Wei , Shen Ruiqi 
Published: January 2021

Abstract
There are dependences of reactivity of nano reactivity multilayer films on scale, and the chemical pre-reactions at interface of reactivity multilayer films (RFMs) are avoided. The reactivity of Al/Ni, Al/Ti nano RFMs were analyzed by XRD and DSC. Analyzed results shown that the released heat of nRFMs depend on thickness of reactant layers, the thinner layer, the less released heat and the released heat is less than its theoretical heat. A pre-reaction region exists possibly at the interface of boundary layers by XRD analysis. A simple equation is derived to calculate the thickness of pre-reaction by the experimental data of RFMs reaction heat. The calculated results shown the thickness of pre-reaction layer depends on increasing of scale progressively.
Combustion performance with ap and boron addition in staged hybrid rocket
Authors: Lee Changjin 
Published: January 2021

Abstract
This study investigated the effect of ammonium perchlorate (AP) and boron addition on controllability of the combustion temperature in fuel-rich effluent and system specific impulse. In addition, a series of combustion tests was carried out to analyse and evaluate the effect of boron addition on fuel regression rate and radial temperature profiles. To keep the hybrid rocket engine advantages, upper limit of AP and boron contents in solid fuel was set to be 15 and 10wt% respectively. The results suggested that AP addition proved to be very effective in controlling the effluent temperature. Not only that, it also offers less injected oxidizer mass flow, and resulted in less O/F variation, and less combustion pressure while producing the same combustion in temperature fuel-rich effluent. With boron addition, it also provided more uniform radial temperature distribution. Also, boron addition increased specific impulse by 6.8-13.7%. Secondary combustion using different solid fuels showed a decrease in c* efficiency with increasing boron content in solid fuel. Combustor length and combustion pressure were introduced to improve the combustion of boron particles, however, combustion efficiency was decreased with increasing combustion pressure and combustor length for given test conditions.