bluuebunny/crossref_metadata_2025 huggingface dataset:
Estimation of the annual effective doses from direct ingestion of 226Ra and 228Ra in the Disi groundwater for different age groups
Authors: Al-Bedri Mohammed B H
Published: July 2021

The total annual effective doses (TAED) from ingestion of naturally occurring radionuclides (NOR) in Disi groundwater for infants, children, and adults have been calculated,The ranges of the estimated annual effective dose reported in this study from direct ingestion of radium (226Ra and 228Ra) were found to be from 0.085±0.021 to 0.532±0.205 mSv y–1, with a mean value of 0.322 ± 0.095 mSv y–1 for infants, from 0.144±0.011 to 0.828±0.203 mSv y–1, with a mean value of 0.519 ± 0.102 mSv y–1 for children and from 0.087±0.024 to 0.383±0.130 mSv y–1, with a mean value of 0.252 ± 0.067 mSv y–1 for adults. The present results of this study were compared with the minimum recommended limits (MRL) reported by the World Health Organization (WHO, 2008) and the International Commission on Radiological Protection (ICRP, 2000), and the previously published data in different countries. The mean annual effective dose from direct consumption of Disi groundwater for infants and adults found to be about three times higher than the MRL of 0.1 mSv/y suggested by WHO, 2008. The average TAED for children found to be five times higher than that recommended limits by WHO, 2008.
Distributive Rings and Some Domains
Authors: Moteea Shahad Mohammed , Mahmood Muthana A.
Published: July 2021

: In this paper, we study many relationships about Distributive ring and other domain such as Dedekind domain and Noetherian domain. We prove if any divisible module over a ring T, then T is Distributive ring. Also we satisfy if T is invariant ring have multiplication ideal this imply T is a Distributive ring. Finally, we study strongly duo ring and related to Distributive ring.
Comparative Study of the Structural Properties for Thin and Thick ZnO Films Deposited on PPC Plastic Substrates
Authors: Jandow N. N. , Abbas A.A. , Mohammed Kh. G. , Habubi N. F. , Yam F.K.
Published: July 2021

ZnO films with various thicknesses (0.4, 0.6, 0.8, 1 and 1.3 μm) had been prepared on PPC plastic bases by using DC sputtering. XRD results showed that all the films displayed principally ZnO (002) peak at 2θ = 34.115°, 34.01, 34.16, 34.07 and 34.12° with FWHM of 0.41°, 0.34, 0.27, 0.21 and 0.368° respectively, which is coincide with wurtzite hexagonal phase, indicated that films were preferentially grown along c-axis. XRD results also showed that the lattice constant and the crystallite size for the deposited thin films became larger than those for the thick film 1.3 μm; while the stress and microstrain increased for the thick films.
Water Pollution Fiber Sensor Based on Surface Plasmon Resonance Technique; Implementation and Characterization
Authors: Ibrahim Maher Khaleel , Kadhim Shehab A. , Fawaz Nabeil Ibrahim
Published: July 2021

In this work, a single fiber optic fiber was developed as a water pollution sensor based on the Surface Plasmon Resonance Phenomenon based upon the Mach - Zehender Interferometry (MZI) technology. The sensor submitted was developed to detect water pollutants. The SPR sensors were prepared by coating a golden metallic film which thickness 42 nm on a chemically etched single-mode fiber with a thickness of 20 micrometers, which achieved the best results of sensitivity to water pollution, the results of the high sensitivity of the optical fiber sensor were obtained based on the surface plasmon resonance phenomenon. The experimental results showed high sensitivity, reaching 1315 pm/mol.l−1 for a salty solution with distilled water, 1705 pm/mol.l−1 for the salty solution with tap water, as well as 2222 pm/mol.l−1 for sugar solution with distilled water, and 1925 pm/mol.l−1 for sugar solution with tap water. This means that these sensors which are based on SPR could be very useful in the field of water pollution detection.
Some Classes Of Analytic Functions For The Third Hankel Determinant
Authors: Hameed Mustafa I. , Ali Muna H.
Published: July 2021

We investigated the Hankel determinantH3(1) for functionals in the analytic function class and obtained the sharp bound for the third Hankel determinant|e3e5−e42|for a subclass of analytic functions in this paper.
Study of the effect of Ultraviolet UV-induced oxidative stress in male white rats (Rattus rattus)
Authors: Al-khateeb Su’adod Osama , Khalil Omar Karim , Salam Marwan Ahmed Abdel , Razzaq Rehab Hatem Abdel
Published: July 2021

The present study was designed to investigate some of the physiological effects in the blood of white male rats exposed to oxidative stress induced by hydrogen peroxide in drinking water at a concentration of 0.5% for a period of 50 days and to compare it with the group exposed to ultraviolet rays at a rate of 6 watts per candle for a period of 50 days

First:-The results showed a significant increase (P≤0.05)in the group of rats exposed to radiation in the group of ultraviolet rays (18 watts) UV3 and hydrogen peroxide both when compared with the control group. In radical Peroxy nitrite level and in total white blood cell count and for both Ly % and GR%. The results also showed a significant increase (P≤0.05) in the level of glucose.

Second:-There was a significant decrease at a significant level (P≤0.05)in the level of glutathione in the group of rats exposed to UV3 radiation and the hydrogen peroxide group alike when compared with the control group, with a significant decrease at a significant level of (P≤0.05)in the activity of the enzyme glutathione. Glutathione peroxidase and a significant decrease (P≤0.05)in the volume of packed blood cells, the hemoglobin value, the red blood cell count, and the platelet value, with a significant decrease of MO..%

Third:-The occurrence of signs of blurred vision in the eyes of the ultraviolet rays group with a strength (3 candles) in addition to the darkening of the tail in a clear and striking way and the lack of movement and activity compared to the hydrogen peroxide group and the rays group, the strength of one candle.
Using a New Modification of Trust Region Spectral (TRS) Approach to Solve Optimization Problems
Authors: Mueen Hussain Ali , Shiker Mushtak A.K.
Published: July 2021

A trust-region spectral (TRS) technique is important strategy to solve optimization problems. In this work, a new modification of (TRS) is introduced by using a new trust-region radius (TRR). We proved the global convergence of the new algorithm. The numerical experiment were made by comparing the proposed algorithm with famous algorithms depending on the number of iterations, time required to find the solution and functions evaluation. Based on these results, we can conclude that the proposed algorithm is better than the three algorithms that were compared with.
TD
– Spaces And Its Proprerties
Authors: Awad Bushra Kadhim
Published: July 2021

In this work we try to learm TD
– space and reach to relation between TD
– space with T0 – spaces and T0 - Alexandroff spaces and then try to get some properties of TD
– spaces and prove them.
Neural Network Based Home Energy Management for Modelling and Controlling Home Appliances under Demand Response
Authors: Abdullah Afiaa Najm , Mutlag Ammar Hussein , Ahmed Maytham S
Published: July 2021

Nowadays, the consumption of homes is around 40% of the total world consumption. Furthermore, 21% of the total greenhouse gas emissions are produced by homes. The emergence of smart grids has presented new opportunities for home energy management (HEM) systems for the purpose of reducing energy in the residential sector. Demand response (DR) tool that curtails and shifts demand to enhance the consumption of energy at home. It usually creates optimal schedules for energy consumption by considering load profiles, the cost of energy, level of comfort people, and environmental concerns. The deployment of smart meters, it is possible to control the load by using HEM system with demand response (DR) enabled appliances. Without a proper system, it is difficult to efficiently control the energy in houses. In this work, a Neural Network technique as a controller to control the energy in the building with DR strategy is developed to control and reduce peak demand load. Reduce the electricity cost and power consumption for the appliances while maintaining customer comfort is the motivation of this work. The electrical appliance such as air conditioning (AC), electric water heater (WH), washing machine (WM), and refrigerator (RF) were modeled using the Matlab program. The designed model can make an accurate decision in scheduling and shifting the operation of the electrical appliance at the peak time by scheduling the s domestic household at a specific time with no affecting the customer’s preference.
A New Technique for Finding the Optimal Solution to Assignment Problems with Maximization Objective Function
Authors: Kadhim Haleemah Jawad , Shiker Mushtak A. K. , Al-Dallal Hussein A H
Published: July 2021

The assignment problems (AP) are an important part of linear programming problems (LPP) that deal with the allocation of different resources for different activities based on one to one. The assignment problem is established in a variety positions when decision makers need to determine the optimal allocation and this means assigning only one task to one person to achieve maximum profits or imports or achieve less time or less cost based on the type of problem. In this work, a new technique has been provided to find an optimal solution for the assignment problems of maximization objective function. Comparing the proposed technique results with the Hungarian method indicates that the new technique has easier and less steps to find the optimal solution and thus the time is reduced and the effort is largely reduced.
Text Steganography in Image depending on Radon _ Barker code Transforms
Authors: Jabbar Rafal Fadhil , Jumah Al-Thahab Osama Qassim
Published: July 2021

- With the widespread usage of the internet around the world, both public and private data are now widely disseminated on the internet. The security of these online records is a pressing issue that must be addressed immediately. Text watermarking is a technique for adding watermarks to text documents to help preserve their authenticity and credibility. For many years, text watermarking has been a hot topic of research. This paper describes a new method for embedding text in a picture that uses a radon transform-based Barker code to make the device more reliable and ensure that the text is returned without error. The main advantages of this research are the high security and the big capacity of data to be hiding since the use of radon transform is very helpful in extracting the data. All the image noise does not effect on the stego-image except the paper and salt noise effect on Root Mean Square (RMS) since its value is 0.274 and contract enhancement effect on RMS and Mean Square Error (MSE) by the values 0.586 and 0.343 respectively. Also the SSIM value is very acceptable since there is an obvious similarity between the original image and the stego-image (after stegonagraphy process).
The impact of deposition time on the morphological and structural characteristics of silver nanoparticles using the DC sputtering process
Authors: Awad Hind Dhari , Abd Algaffar Alaa Nazar , Khalaf Mohammed Khamas
Published: July 2021

Silver nanoparticles were prepared on glass substrates at room temperature using four different deposition times (10, 15, 20, and 25 minutes). The dc magnetron sputtering technique is used to prepare the surface, with thicknesses of (30, 40, 50, and 60) nm, respectively. The effect of deposition times on the microstructure and morphology of the surface of deposited thin films was examined. Moreover, X-ray diffractometer (XRD) and atomic force microscopy were used to examine the structural properties and morphological characterization of sputtered films. Parameters such as crystallite size are also measured. The research indicates that the XRD pattern has a polycrystalline structure with a preference for orientation along the (111) axis. The AFM images confirmed that the thin films shaped uniformly distributed spherical particles (in terms of size). Finally, increasing the film thickness causes the average surface roughness of the films to increase between (2.6-11.6) nm.
Potential of Fuzzy Methodology for Investigation in Nanofluids Heat Transfer
Authors: Mutlag Sattar A. , Abed Kadhum A. , Abdllah Al-janabi Abdulsattar A.
Published: July 2021

In this paper, the Fuzzy Nanofluid Model (FNFM) used to develop a fuzzy analysis investigation on heat transfer optimal performance at different Nanofluids flow rate. The fuzzy Nanofluid model is applied to examine the effects of heat transfer parameters on heat transfer performance. Silicon Oxide SiO2 Nanofluid is used to explain their effects on heat transfer by two methods traditional and fuzzy (with two shapes of member ship function triangular and trapezoidal). This study evaluates the effects of nanoparticles SiO2 with different value of particle concentration PC (0.0-4.0%) using the water as a base fluid. This investigation covers a Reynolds number (Re) in the range of (100-500) as a flow rate (FR) for laminar flow. The main objective of present research, first one, compared a developed FNFM model with traditional model (TM) and determines how fuzzy model plays a significant role in prediction of Heat Transfer performance. Second one, to provide developed methodology for performance evaluation of heat transfer by connecting more than one parameter to a single output which is invaluable supplements relative to classical models. Third one, a developed FNFM can be used as a help tool for decision making to get the best judge (optimum) the performance of any system. The results of fuzzy model showed the heat transfer of SiO2/H2O Nanofluids significantly increased the PC compared with the increase in FR. However, however, using this method, there will be no need to resort to solving complex equations to arrive at a representation of the performance of any system. Finally, the study shows that fuzzy model plays significant role in prediction of heat transfer investigation without the complexity of mathematical tradition models. The correlations coefficients R2 between TM and FNFM models for heat transfer coefficient (0.97) and the average relative error (ε) is ((4.4%). FNFM models can predict heat transfer characteristics with higher accuracy than that of the traditional model.
Method for Analyzing the Problem of Determining the Dynamics of Changes in the Structures of Temporal Directed Tree
Authors: Ibrahim Ali Rashid
Published: July 2021

Problem determining the dynamics of changes in the structures of temporal directed tree is one of the central problems of graph dynamics, i.e. the changes in the similarity of temporal directed tree structures, which is the subject of this research. Two types of problems associated with determining the distance or similarity index for a pair of structures of temporal directed tree are identified. A method for solving these problems is proposed, and example of solution is given.
Investigation of third order nonlinearity of Ethidium bromide doped deoxyribonucleic acid) DNA)
Authors: Fakher Alfahed R. K. , Badran Hussain Ali , Abbas Abu Talib Y. , Saleh Noor Al-Huda
Published: July 2021

The concentrations-dependent refractive index n
2 and the nonlinear absorption coefficient β of Ethidium bromide dye-doped deoxyribonucleic acid (biological polymer DNA) solutions in the SDL regime at 532 nm are reported. The Z-scan technique was performed in two ways and two different wavelengths, 532nm and 473nm, the open aperture technique and the closed aperture technique. From open aperture Z-scan measurements it is found that the Ethidium bromide doped deoxyribonucleic acid films exhibited reverse saturable absorption. The coefficient of nonlinear refraction and nonlinear absorption coefficient at 473nm wavelength is greater than at 532nm.
On Generalized N*-Closed Set in NANO-N*Topological Spaces With Some Properties
Authors: Aziz Nabila I. , Jasim Taha H.
Published: July 2021

In this paper a class of sets called generalized N*-closed set introduced and its properties were studied. Further the notation of relationships among them were discussed.
Nonlocal problems for controllability of functional differential equation
Authors: Selvamani C , Loganathan C
Published: July 2021

The present work addresses the nonlocal problems for a controllability of functional differential equation in Banach spaces. Sufficient conditions are derived by using Schaefer’s fixed point and semigroup theory.
Operations Research for Supply chain management – An Overview of Issue and Contributions
Authors: Amulu Priya S , Maheswari V , Balaji V.
Published: July 2021

The Logistics and Production Network Administration agrees that this is a mandatory research area, although there are some written reviews and examinations on this field. Operations research, which is also known as ‘Science of Better’ deals with mathematical models in order to take better decisions with better alternative options. A review of chronological progresses in Supply Chain Management (SCM)and SC modeling is offered to provide an insight into the development and possibilities of SCM modeling. This article is set out to suggest some serious issues in SCM research by means of several reviews related to the policy of Operations Administration. This paper focuses on the reviewing of various mathematical models proposed and suggested for SCM and SC operations. The article intends to study and analyze journals, books and articles published from the most known and comprehensive international journal on operations management and logistics. The purpose of this work is to identify trends in the literature and identify strategic results, financial strictures, limitations and related issues in strategic planning and model chain design. Finally, certain guidelines and recommendations are provided for supporting future work in this area.
A secure public key cryptosystem based medical records using non-commutative group
Authors: Ramamoorthy A , Jayagowri P
Published: July 2021

Tolerant records, including specialists’ conclusions of illnesses, hint of medicines and patients’ conditions, nursing activities, and assessment results from united wellbeing calling offices, are the main clinical records of patients in clinical frameworks. With understanding records, clinical staff can comprehend the whole clinical data of a patient so that, as indicated by the patient’s conditions, more exact analyses and more fitting top to bottom medicines can be given. By and by, in such a cutting-edge society with blasting data advances, customary paper-based understanding records have confronted a great deal of issues, for example, absence of uniform organizations, low information versatility, slow information move, indecipherable penmanship styles, tremendous and inadequate capacity space, trouble of preservation, being handily harmed, and low adaptability. In this article we propose new public key cryptosystem for securing medical record based on non-commutative group. The securities of our key exchange protocol based on hybrid of group root extraction problem and Conjugacy Search Problem in non-commutative group implement our key exchange protocol in special matrix group.
Gini Index Test Metric Based Collaborative Sensing of Spectrum for Cognitive Networks
Authors: Bharathy G T , Rajendran V , Bhavanisankari S , Balaji V
Published: July 2021

The key confront for a cognitive radio network is to identify the presence of primary users consistently so as to curtail the intrusion to license approved communications. Consequently, sensing of spectrum is a main significant requisite of a cognitive network. Nevertheless, because of the ambiguity in the channel, local interpretations don’t provide a trustworthy solution and therefore collaboration is needed between the users. Collaborative spectrum sensing is a competent scheme to enhance the spectrum utility in wireless networks, which utilizes cooperation between multiple nodes to prevail over the inadequacy of single-node to improve the performance of detection. In this paper, a detailed investigation, simulation and comparative analysis of collaborative scheme for sensing the spectrum of cognitive networks based on Gini Index test metrics is done and the results are compared with various other detecting schemes. The simulation is accomplished by means of Matlab R2014 software.
An Efficient Cryptosystem Using Playfair Cipher Together With Graph Labeling Techniques
Authors: Deepa B , Maheswari V , Balaji V
Published: July 2021

Cryptography is the branch of Discrete Mathematics which deals with the transmission of secret communications between intended parties without the knowledge of third party. Graph theory is the enchanting field if Mathematics that designate integers to edges and vertices through some established functions. In current scenario security of communication plays a crucial role in any telecommunication or network applications. In this paper we have proposed an efficient cryptosystem using play fair cipher together with graph labeling to safeguard our secret text from unauthorised persons. Here we employ the substitution cipher namely Play fair cipher for plaintext encryption and ourencrypted text in the form of Cipher Graph is forwarded to the receiver which on application of graph labeling yields our plaintext. Thus a fusion of the techniques Cryptography with Graph labeling provides ultimate security for secure transmission of data or information at various levels.
A conceptual rainfall-runoff mathematical model to simulate runoff using daily amount of rainfall for arid and semi-arid region
Authors: Shende Sheetal
Published: July 2021

The structure of water resources needed long-term runoff. Because of the huge operating and maintenance costs of sites collecting large quantities of data, it is always a problem for developing countries. Data collection apart from these estimates of runoff from the river basin, irrigation schedules, flood control and dam design and other engineering structures have been very important to plan and manage. In hydrology, various models are available for understanding and predicting the Runoff process. The tank model is often favored for its simplicity among several conceptual precipitation runoff models. However, due to the calibration of too many parameters of the model, it requires a lot of time and effort to get better results. In fact, the price has gone up for product calibration. In this case, a new mathematical model is being developed to analyze the amount of runoff, which is rainfall. The paper illustrates the application of Ordinary Differential Equation the field of Mathematics which helps to relate the value of function itself for an unknown function of one or several variables.
Intuitionistic fuzzy stability results of additive functional equation by two different approaches
Authors: Tamilvanan K , Deepa B , Muthu selvi S , Prakash R , Sathish Kumar R
Published: July 2021

In this current work, we examine the Hyers-Ulam(H-U) stability results for a finite variable additive functional equation (Ref.[6]) in Intuitionistic Fuzzy Normed space(IFN-space) is discussed by means of direct and fixed point methods.
GMJ Coding Using Even Felicicitous Labeling and Two Star Graphs
Authors: Sudhakar S , Ranjani T , Swathy V , Balaji V
Published: July 2021

In this paper, we have found a technique for coding a secret messages by applying the even felicitous labeling on the two star graph K
1,φ ∪ K
1,ψ using GMJ (Graph Message Jumbled) code. We provided two illustrations for converting plain text into cipher text (picture coding) and method for labeling the felicitous graph is described.
Privacy Preserving Message using Padovan Sequence
Authors: Angel Sherin D A , Maheswari V , Balaji V
Published: July 2021

An evolution of wireless technology created tremendous change in this era. Large quantities of messages are registered, altered and transmitted through wireless or network cable by fixed devices. Privacy of the transmitted message is a main concern in networks. A diversified encryption algorithm has been suggested in these years to preserve the message. We take the cyclic graph and label the edges with the Padovan sequence. The computation of the closed trail matrix is applied in matrix inversion algorithms to get the cipher text. The usage of the symmetric key is applied in the encryption and decryption process. This paper proposes matrix inversion algorithms to transfer the message from sender to receiver. And also we applied SageMath algorithm for drawing the cyclic graphs. The result shows that the proposed algorithm gives enhanced security and efficiency when correlated with existing algorithms.
A Qualitative Research on the Impact and Challenges of Cybercrimes
Authors: Krishna Viraja V , Purandare Pradnya
Published: July 2021

We are in the digital era where we cannot imagine our lives without the Internet. Technology has become an integral part of our daily routine, and with the significant rise in technology, we see huge growth in cybercrimes. The use of information is increasing every day with the advent of more social media platforms that utilize millions of data per second globally. These data include sensitive information such as trade secrets, privacy, and security issues. The number of crimes is increasing day by day, and these cyber crimes can impact an individual, an organization, or even a whole nation. The research study aims to spread awareness about cybercrimes by offering a detailed analysis of the awareness, impact, and challenges to anyone vulnerable to cybercrime. The methodology adopted to study and analyze the impact and challenges caused due to cybercrimes is qualitative research. On a concluding note, the study will present suggestions to overcome the challenges and talk about the research’s future scope.
Assessment of the Impact of the Hybrid Software Development Approach
Authors: Gawade Shyam , Ramteke Vidyavati
Published: July 2021

The paper focuses on enhancing the current or modern software development practices in Information Technology (IT) organizations. The research paper aims to address the gap between various hybrid software development approaches and existing practices that contribute to software development practices. The methodology adopted here is to obtain data from software professionals and understand how the current practices in the software development industry have contributed to the productivity of the employees and the IT organization, which has been done with the help of a survey questionnaire and by analyzing existing research articles and papers on the software development practices. This research is a conceptual model focused on a modern hybrid approach for software development, rather than focusing on a single software development approach, which can help IT organization increase productivity and deliver business value beyond customer expectations. The cost to build and time to market a software product or a software service can reduce by integrating the required software development practices. Today, staying relevant in the competitive market can be made easier by choosing the best available software development practices, frameworks, and models to fit an organization’s value and knowledge system. The conceptual model aims to reduce the gap between various hybrid software development approaches and existing practices contributing to software development. The paper concludes by discussing the benefits of the hybrid software development approach and urge IT organizations to adopt it as per their software development requirements and customer requirements.
An Improved Scheme for Vehicular Platooning using Adaptive Acknowledgement Timeout method
Authors: Farooq Mohd Umar , Pasha Mohammad , Khan Sara
Published: July 2021

Platooning provides the potential for substantial benefits in terms of safety, energy conservation and cost reduction. Early analysis has already demonstrated that 65 percent of existing long-haul freight miles could feasibly form platoons, lowering the usage of cumulative vehicle fuel by 4 percent. The emergence of newer communication technologies like the vehicle-to-vehicle networking in the short-range paradigm and device to device communication in 5G paradigm can be used to setup virtual links among multiple vehicles like trucks to form platoons. The vehicular networks are prone to varying channel conditions due to high mobility of nodes. The present work addresses the issue of forming platoons using an adaptive acknowledgement scheme to offer better channel usage and less packet loss. It outperforms existing schemes that uses a static model for message exchange to form vehicular platoons.
Boltzmann–Dirichlet Process Mixture: A Mathematical Model for Speech Recognition
Authors: Rajesh Kumar T , Vijendra Babu D , Malarvezhi P , Velu C M , Haritha D , Karthikeyan C
Published: July 2021

This article deliberates a mathematical model for the estimation of speech signals probability density function. Speech recognition is analyzed using an integration of Boltzmann equations with Dirichlet Process Mixture sequences. Usually, environmental noise, white noise, echo noise interferes with the speech signal. So, the speech identification rate decreases abruptly. By estimating the noise sequences in the speech signal, the speech identification rate increases. Rather than using a conventional Gaussian Mixture Model (GMM) procedure to recognize a pure speech, an integration of mathematical equations of Boltzmann and Dirichlet Process Mixture is proposed in this article. An uttered speech signal is identified using mean, variance, and standard deviation generated by Boltzmann-DPM. For an added white, particle, shaver percentage of noises, the speech signal to noise ratio is improved and proved experimentally using the Nil filter, GMM filters, and Extended Kalman filter.
Flexible and Proficient Routing in Mobile Ad-Hoc Network
Authors: Padmanaban K , Velmurugan A K
Published: July 2021

Mobile ad hoc networks (MANETs) can be distinct as a gathering amount of mobile nodes which build the irregular network lacking assist of several network structures. Every mobile node entering together as host as well as a router also it transmits the data to receiver via multi-hop manner. The dynamic topography, node mobility, offers large amount of degree, self-organizing capacity that is a features of MANET. Owing to the scenery intends to improvement of routing is disputing chore for communication surroundings. In this paper, Flexible and Proficient Routing in MANET is introduced. Here, Routing can be achieved both multi-hop and multipath. In an efficient network, care to achieve both in the most optimized manner is essential. An analysis of when multi-hop data transmission is required and when multipath transmission can be used for efficient communication is analyzed. The results provide better routing efficiency in MANET.
Investigation of DSR protocol performance in Wireless MANET using Correlation Method
Authors: Rastogi Umang , Pattanaik Balachandra , Barani Sundaram B , Mishra Manish Kumar , Thirumoorthy Dhanabal
Published: July 2021

As we know already MANET means Mobile ad-hoc network that works made by two words Mobile and Ad-hoc Network collection of moving nodes shows mobile and kind of temporarily network which do not have any fixed point or centralised administration. Here assortment of nodes forms a network.it can be adjust mobility to bandwidth in high or low level. In this paper, we evaluate performance of DSR protocol. In this unique design shows the results in terms of how protocol changes quickly according to nodes movement along with compare by correlation method. The result of this paper is coming after analysing of different behaviour of DSR can be applied in other new protocols that are using DSR framework. In this paper I showed results in term of break time, PDF, delay, throughput etc by simulation. These simulation results are applied on correlation method and finding out in which point DSR protocol parameters are performing good performance. In this result shows when pause time is increases along with no of nodes then correlation will be high.
Best Practices for Ensuring Security in DevOps: A Case Study Approach
Authors: Desai Rajavi , Nisha T N
Published: July 2021

DevSecOps is an advancing area that is highly preferred in the field of Information technology. The main idea of DevSecOps revolves around how security could be integrated with DevOps. There exist certain tools and practices for implementing DevSecOps, but this area is not fully explored. The research serves to find out the best practices that could be implemented to enhance security in DevOps. The main objective is to provide best practices covering all the aspects of DevOps.The solutions provided in the research papers that were referred to, the results of these research papers, and reviews were considered for the study. From the data gathered a descriptive review of literature is formed and overviewed to develop all the possible effects and most widely used practices to implement DevSecOps the challenges that could be faced during DevSecOps implementation.

This paper aims to provide a range of options that could be implemented for enhancing the security of the system.
Smart survey on recent trends in water level, drought and water quality analysis system
Authors: Balajee J , Saleem Durai M A
Published: July 2021

Over 200 million yearly reports of diseases identified with scarce water and sanitation conditions, 5-10 million deaths occurred worldwide. Water quality checking has subsequently gotten important to supply clean and safe water. This survey work depicts the fundamental explanation behind the requirement for robust and productive Water level, Drought, and water quality control in the level framework, which will keep human assets healthy, sustainable and diminish water use for household purposes. Climate change and variability have so many significant impacts caused by the natural environment’s water system. Incredible methods, collection of water samples are tested alone and analyzed in water laboratories. However, it is not always easy to capture, analyze, and rapidly disseminate information to relevant users to make timely and well-informed decisions. The review work encompasses traditional methods based on Machine Learning (ML), and Deep Learning (DL) approaches.
Network Virtualization Incorporation and Projection System Technologies Using Block Chaining
Authors: Prasanna Srinivasan V , Viswanathan C , Sailaja P , Manimala G
Published: July 2021

With the proposed time-lock encryption method, mutually untrustworthy users will create a shared public key for the implementation in a completely distributed and asyncratic setting like internet or blockchain networks with time-critical privacy conservation applications such as e-voting or online auction. A “putting puzzles inside another puzzle” construction mechanism was proposed to resolve the probabilistic characteristics of the predicted key crack time. Experimental findings indicate that the solution proposed will deliver a more precise main break time, which would make it faster and more exact to reach the expected time limit. As described above, we can further estimate computing power by combining our scheme and the blockchain, to decode time-sensitive message. Miners are ready to supply under the updated PoW scheme.
Blockchain Infrastructure with Fragments Dependent Security Deposit Solution
Authors: Jaya R , Thirukkumaran R , Saravanan S , Sivabalan N
Published: July 2021

Blockchain is considered a shared ledger technology to be a viable alternative for heavily focused control process applications. However, most of the current blockchain networks are used for the proof of work called the Hash-Puzzle-Solving Consensus Protocol. The competition to solve the puzzle leads to high latency, leading directly to a lengthy cycle of transaction processing. One solution to this problem is the establishment of a shards blockchain network. In this article, we concentrate on the blockchain network and follow a consensus protocol on security deposits to explore the issue of how to reconcile the economic reward and incentive. The knowledge asymmetric dilemma between beacon and users is also posed by the intrinsic features of the blockchain, i.e. transparency and decentralization. The philosophy of the contract is used to describe the dilemma. The optimum incentives for the various types of validators as well as the required deposits will also be obtained. The flexible deposits may provide ample economic stimulus for participants relative to fixed deposits without sacrificing the safety incentives. Moreover, the results of simulation suggest that the contract theory strategy will optimize the effectiveness of the beacon chain and fulfil the participants’ reward compatibility and individual rationality.
Forex exchange using big data analytics
Authors: Sadhasivam Jayakumar , Arun M. , Deepa R , Muthukumaran V , Lokesh Kumar R , Prasanna Kumar R B
Published: July 2021

Analysis and Prediction of forex has gained immense value in today’s economy. The stock price prediction is a difficult process owing to the irregularities in stock prices. Every trader wants to know if the pattern has been repeated in past to know what the possible output of the current situation will be. The primary objective is to propose a methodology that will use a historical dataset and provide a more accurate prediction on stock price. In this paper, we will be using machine learning pattern recognition algorithm on forex tick dataset. The learned model then will produce pattern from the given dataset and on the pattern of increasing or decreasing, the buyer will initiate a buy or sell the stock respectively. We will use python coding to execute the algorithm in jupyter notebook. Matplot library will help us to perform graphing in the process and Numpy will be helpful in doing statistical analysis of data.
An Information and Predictive Credibility Control System Using Blockchain Technique
Authors: Shakkeera L , Arumugam S S , Jegan Amarnath J , Narasima Venkatesh A
Published: July 2021

Since then, the use of the blockchains for emerging technologies such as AI has been explored by leading community science, where several actors or agents work together to settle for consensus. To do this, data must be converted into blockchain information in blockchain storage. This blockchains are referred to as blockchains based on information. Information blockchains can be useful for effective implementation of risk management. A previous work implemented the blockchain probabilistic which renders blockchains dependent on information simpler. This article suggests an extension of the definition of the stochastic blockchain. It is suggested that a social marketing system should be developed for such blockchains. It is planned to satisfy the needs of a wide variety of applications. In general, we use it to detect relevant nodes and reduce its effect on the consensus mechanism of the stochastic blockchains. We test the system using multiple adversary tactics by applying it to a benchmark. We also evaluate unilateral decisions both with and without identification of malicious nodes. Both outcomes indicate a sustainable efficiency, in which the planned work outcomes and results are outstanding.
Smart Monitoring at the Surface of a Compact Blockchain Privacy Defence
Authors: Anantha Raman G R , Srinivas Porandla , Ashok Maram , Kiran Kumar Reddy P.
Published: July 2021

As surveillance video tracking (VSS) is being more and more deployed, more and more people are struggling with concerns related to breaches of data protection. While monitoring for crime dissuasion is favourable for the majority of the population, citizens do not embrace intrusive private life oversight. However, there is currently no easy-to-use and secure video monitoring system privacy preservation solution. This difficult topic has been shed light on the new progress of blockchain (BC) technology besides their Internet of Things (IoT) implementations. In this article we suggest a Blockchain based Lightweight Confidentiality Framework for edge cameras surveillance. It helps the VSS to monitor the discretion of individuals caught in the videos without violating them. The Lib-Pri system converts the used VSS into a system, which acts as a amalgamated blockchain system that controls integrity, handles bubbly keys, shares functions and endorses video entry. The policy implementation of data protection controls on the edge of computers is done without intervening with the network for real-time video analytics.
Intelligent MPPT Control for Wind Energy Conversion Systems Based on Reinforcement Learning
Authors: Pallekonda Arun Kumar , Muthukrishnan S. , Meenakshi B. , Saravanan R.
Published: July 2021

This article gives the best intellectual strength wind energy variable-speed point detection algorithm systems of transfer focused on improving instruction. Since reinforcing learning (RL) helps the variable - speed wind method to learn by direct contact with the environment. Awareness of factors of wind turbines or wind speed is not concerned. The first proposed MPPT control scheme facilitates a mix of the ANN and the Q-learning method to ensure the optimal coordination between PMSG engine speed and power. The proposed ANN-based RL MPPT control algorithm is supplied with simulation and experimental data.
A survey on modern day trends in water level and quality analysis system
Authors: Revathi N , Sengottuvelan P , Thimmia Raja J
Published: July 2021

Our goal is to explore consistent water quality systems, the dry season, and the water quality standard structure. In fact, river water will be destroyed by a variety of hazards such as capital sewage, agricultural waste and current waste, making it unusable for anthropological practice. Employees are expected to add web water testing and submit it to the evaluation office and then conduct assessments at different water boundaries, which is an exaggerated and long-term relationship. The light display shows the distribution of information between the central lights. Information is transmitted to the cloud via a mobile screen to reduce energy consumption. In addition, these assessments can be used to configure IoT infrastructure so that a decision can be made whenever there is a dramatic change in the assessment of any water quality toilets. The project is proposed for natural water observations under a network of remote sensors. It consists of three parts: information bulbs, a basic information center and a remote authentication focus. Valid multi-temperature sensor sensors must be aware of the bulbs to meet the requirements of the multi-water display and access to rest areas. Water is one of the basic compounds that affects the environment inside and out. In this way, the water control center is important to see water quality in large areas such as lake, stream, and hydroponics. Looking at the level of pollution, water surveys are becoming more widespread. Guidelines for identifying water quality essentially exacerbate the deterioration of water quality. To think about this substance, we need a web control center for water quality integration.
Novel Approach of Designing of a Low-Cost Artificial Ventilators
Authors: Narendra M , Sabhanayagam T , Martin Sahayaraj J , Senthil Kumar T
Published: July 2021

In addition to expected ventilator scarcity, induced by the disease outbreak of COVID-19, several organizations have Low-cost emergency breathing apparatuses have been developed. Pressure-cycled pneumatic ventilators are some of these devices that are easy to be using. The signaling or alert features are produced but often not included, on industrial ventilators. This article reports a simplified, simple electronic pressure-cycled respirator sensor & alert device that measures theoretically efficient parameters such as strain & respiratory rate & sounds of alarm; when the respirator malfunctions. A signal processing is for low complexity. A set of time-varying recursive envelope trackers are used in the algorithm to Signal control from a wired digital pressure sensor Trachea of the client. Measurements on each specimen such that it can operate on virtually every test on a microcontroller.
Machine learning based recommendation system on movie reviews using KNN classifiers
Authors: Ananda babu J , Vinay D R , Kumaraswamy B V , Basavaraddi Chethan Chandra S
Published: July 2021

Recommender systems are the systems that are designed to recommend items to the consumer depending on several different criteria. These systems estimate the most possible product that the consumers are most likely to buy and are of interest to. Companies like Netflix, Amazon, etc. use recommender services to allow their customers to find the right items or movies for them.In the current system recommendations, the content of ltering and collective ltering typically fall into two groups. The method is formerly Periment in our paper in all methods. We take film features such as stars, directors, for content-based ltering. Movie definition and keywords as inputs use TF-IDF and doc2vec for measuring the film resemblance. For the first time, Input to our algorithm is the film ranking encountered by users, and we use neighbours nearest K, as Factorization of matrix to estimate film scores for consumers. We find that teamwork functions better than content. Predictive error and estimation time ltering.
A Hybrid Structural Building Data Mining System Based On the Data Tracking Through Devices
Authors: Sangeerani Devi A , Ravi Prasad B , Loganathan Venkateshwaran , Saurav Swapnil
Published: July 2021

One of several traditional megaprojects is underground construction, given its long building time high building expense and possible risks. In tunnel engineering, trench boring devices are generally used to increase work performance and safety. During the tunnelling process, system has recorded vast volumes of tracking data to ensure building safety. The processing of vast real-time surveillance data also lacks successful techniques, and, in many situations, it must be performed manually that pose possible safety hazards. This paper suggests an approach for hybrid data mining (DM) to automatically process the TBM data for real-time tracking. Three separate DM strategies are merged in order to improve the operation of mining also to help security management. The sequential pattern method is executed to remove connections between TBM parameters in order to give people the expertise needed for an irregular on-site judging. A random forest model is built to identify training data in order to complement knowledge needed for building decision-making system. Finally, neural network models measure the penetration rate (ROP) in order to detect irregular data and to alert early. In the case of a tunnel project in China, the suggested technique was applied, and the findings of the application concluded that the approach offered a reliable and effective way of evaluating TBM protection management data in real time during buildings.
Confidentiality Guaranteed E-Health Treatment for Cloud Cover Enhanced Systems Based on IoT
Authors: Kiran Kumar Reddy P , Narasima Venkatesh A , Arumugam S S , Jegan Amarnath J
Published: July 2021

The advances made with Internet-of- Things (IoTs) on networking technologies and hardware has made for an at the moment more relaxed human life. In addition to the so -called “intelligent” settings, e-healthcare services, as well as real-time diagnoses and diagnostic consulting, have increasingly been integrated into IoT. Cloud cover layers have also been hired, and have demonstrated their utility by offering quick response time and low latency to increase the capability of IoT based health systems. Such a development, however, retains the privacy of users as a serious obstacle, to some degree solving security/privacy problems. Such technology still had less privacy controls when it was at a childhood stage. Therefore, our latest work is on an eHealth System for the security of privacy problems in electronic medical reports (EMR). In addition, we have interacted with and compared work on the proposed work in terms of reaction time and delay. The findings demonstrate the complete work in conjunction with normal network parameters is effective to provide privacy.