bluuebunny/crossref_metadata_2025 huggingface dataset:
Lifting wheelchair for limbless people
Authors: Harshavardhan A , Ramesh D , Pasha Syed Nawaz , Shwetha S , Mohmmad Sallauddin , Kothandaraman D
Published: December 2020

He impaired are denied of all open doors for social and monetary turn of events. They have an absence of essential offices like wellbeing, instruction, and business. One of the crippled classifications is individuals who don’t have appendages. Limbless individuals face numerous issues like moving starting with one spot then onto the next, climbing steps, taking things from the rack or racks, and so forth.

Our task intention is to answer the limbless individuals who are confronting issues in taking the things from the racks at the most extreme stature. We met our locale accomplice concerning this task talked about the issues looked by them. Because they collaborated with their issues, we thought of the most ideal arrangement which comforts and fulfills the client needs. Our item serves the genuinely impeded individuals in the general public in the most effective way.
Secure Deployment of Decentralized Cloud in Blockchain Environment using Inter-Planetary File System
Authors: Mendu Mruthyunjaya , Krishna B , Mohmmad Sallauddin , Sharvani Y , Reddy Ch Vinay Kumar
Published: December 2020

Nowadays, the entire globe with enormous resources is connected using web-based technologies. These integrations are implemented using an advanced network environment and need a higher degree of security and integrity. Most of the people are now using smart gadgets to access the corporate, social, and government services. The smart gadgets are having high performance operating systems including Android, iOS, Windows, Blackberry, Tizen, Lune OS, Kai OS, and many others. With the increase of such platforms, the need for security and integrity arises and because of this, the term “Blockchain” is getting huge prominence for multiple secured services. Blockchain was invented as the decentralised transaction chief of the Bitcoin crypto currency Satoshi Nakamoto was called in 2008 by a individual ( or group of people). Satoshi Nakamoto’s name appears to date uncertain. The blockchain inventor for Bitcoin made it the first digital currency to address the double dilemma without the need for a trustworthy regulator or a central server. This manuscript underlines the assorted features of the Inter-Planetary File System (IPFS) as the advanced implementation for a secured blockchain environment.
Enhanced ANN training model to smooth and time series forecast
Authors: Shaik Mohammed Ali , Verma Dhanraj
Published: December 2020

In the present era most of the researchers has done extensive research in forecasting the time series data using distinct “linear, nonlinear and hybrid linear models” that combines models like “Auto Regressive Integrated Moving Average (ARIMA)” using “Artificial Neural Networks (ANN)” by combining the “Time Series Forecasting (TSF)”. In this paper we proposed a new algorithm which will smooth the data and evaluate the error rate to obtain time series predictions by considering Telangana state rainfall dataset. Our experimental illustrations propose that the results attained are statistically promising with the datasets that are used for generating the acceptable prediction result set.
A Comparative Study of Interrupted Secondary User Buffer Mechanism with No buffer mechanism for Cognitive Radio Networks
Authors: Prasad B. B. V. Satya Vara , Kumar M. Ramesh , Kumar K. Kiran , Yadav Arvind
Published: December 2020

Cognitive Radio Networks is the focused research area where optimal usage of resources takes place. The spectrum scarcity is cause for searching new techniques to serve resources to the users other than privileged (primary) which are called as Secondary users. By using interleaving paradigm, the secondary users also served the license bands without interrupting Primary users. While serving the Secondary users, the preemption of secondary users takes place because of high priority of Primary users and they have to leave the system if no buffer is provisioned for the interrupted secondary users. The focus of this research paper is to compare the impact of keeping a buffer to hold the interrupted Secondary users with the case of providing no buffer in the System. A comparative study reveals the necessity and role of the buffer in the System for the provision of better service to Secondary users. The main focus of this paper is the consideration of the system performance with and without the buffer mechanism for interrupted secondary users and this scenario is modeled as M/M/C/K analytical queuing model. The differential difference equations are derived for both the cases and based on these equations, performance metric average queue length and waiting time are calculated. Finally numerical illustrations are carried out for different values of primary, secondary user arrival rates, service rate, buffer size and number of channels. The analytical results are presented through tables and graphs were shown to draw the conclusions.
Women Wellbeing Assessment in Indian Metropolises Using Machine Learning models
Authors: Yadav Bonthala Prabhanjan , Sheshikala M. , Swathi N , Chythanya Kanegonda Ravi , Sudarshan E
Published: December 2020

In recent times, women working in many metropolises have experienced harassment and nuisance in civic places. In this regard, the research centers taking place the responsibility of social media in endorsing care of these sensitive cases in indian metropolises with exceptional reference to Twitter, Facebook and Instagram platforms. This paper makes special efforts to understand how the sense of responsibility in indian society can advance the safety of these women around us.
A Coherent and Privacy-Protecting Biometric Authentication Strategy in Cloud Computing
Authors: Yadav Bonthala Prabhanjan , Prasad Ch. Shiva Sai , Padmaja Ch , Korra Seena Naik , Sudarshan E
Published: December 2020

The Biometric authentication has become progressively more desired in current years. With this expansion of cloud computing, database holders be influenced to expand this extensive volume of biometric information & detection operations to CLOUD for eradicate of this high-priced storage and result overheads, is still conveys possible dangers to users’ seclusion. In this document, we recommend an well-organized, well planned and confidentiality-protecting biometric classification strategy. Particularly, biometric information was encrypted & farmed out for Cloud database. For complete a biometric confirmation, server holder encrypts the inquiry information and proposes that to cloud. The Cloud implements recognition tasks on the encrypted server and sends this conclusion to the server holder. The systematic protection assessment specifies the recommended system is protected still if attackers can fake detection appeals and conspire through the cloud. Evaluated with previous protocols, investigational and new outcomes prove the recommended strategy accomplishes enhanced performance in both preparation and discovery measures.
Text categorization Performance examination Using Machine Learning Algorithms
Authors: Yadav Bonthala Prabhanjan , Ghate Sukhaveerji , Harshavardhan A , Jhansi G , Kumar Komuravelly Sudheer , Sudarshan E
Published: December 2020

Automated text categorization has been measured as a crucial technique for run and practice a huge quantity of papers in digital appearances that were extensive & constantly growing. In common, text categorization acts a significant responsibility in data mining and summarization, text recovery, and query responding. Interruption recognition scheme plays an vital responsibility in network protection. Intrusion recognition method was a analytical method utilized for forecasting network information collision is common or Intrusion. ML algorithms were utilized to construct exact methods to grouping, categorization & guessing. Labeled text papers were utilized for classify text with supervised categorizations. This article used these classifiers in many types for labeled papers & evaluates correctness to classifiers. An artificial neural network (ANN) method utilizing back propagation network (BPN) is worked by more than a few additional techniques to build a autonomous policy to labeled & supervised text categorization procedure. The obtainable standard mechanism was used for analyzing working of categorization utilizing labeled papers. Investigational examination on actual information discloses for mechanism runs good in stipulations of categorization exactness.
RETRACTED: A Comprehensive Study on the Various Applications of Deep Learning
Authors: Pranathi V. , Reddy G. Ranadheer , Sunil G. , Raghava Kumari D , Jamalpur Bhavana
Published: December 2020

Machine learning, using its analysis, is a region of computer technology that progressed stemming from examining style recognition as well as likewise computational learning concepts in an expert system. It is the learning as well as likewise building of protocols that might benefit from in addition to produce prophecies on data collections. These procedures operate by building and construction of a style coming from example inputs so regarding generating data-driven revelations or options rather than noting agency static device suggestions.
ECO Friendly Mask Guide for Corona Prevention
Authors: Tumuluru Praveen , Raju S. Hrushikesava , Baba CH. M. H. Sai , Dorababu S. , Venkateswarlu B.
Published: December 2020

At present, every live human being is worrying of COVID-19 and its varying forms to be attacked and its consequences. To invent the drug and vaccine, it is becoming a harder task that makes people hard to survive with this disease. Many people are getting this covid-19 because of contaminated environment as well as un-disciplinary actions. To avoid the spreading of COVID-19, the populace has to be aware with several sectors such as use of sanitizer, drinking of hot water, having of nutrition drink and hygiene food, and last but not the least consumption of immunity boosters. In this paper, we focus on developing an eco-friendly mask which not only prevents against COVID-19 but also purifies the air intake. The objective of this invention is to fight efficiently against COVID-19 pandemic in terms of preventing the spreading of Corona virus. The performance of this mask is validated against the conventional mask by considering and its maintenance will judge the success of this in the global mass society. Not only to face COVID, but also to face the pandemics to be raised in the future too. Hence, the proposed materialistic method using corona sensor will guide about corona surfaces and objects in the surrounding environment.
Multi Labeled Multi-Expressions to Explore Descriptive Documents
Authors: Thallapalli Ravikumar , Narasimha G. , Korra Seena Naik , Ravi Kiran K , Pallavi P.
Published: December 2020

Expressive Clustering contains ordinarily filtering through information occasions into get-togethers and making a practical plan for each get-together. The depiction should inspire a client to press ahead with no more prominent assessment of the specific occasions regarding the substance regarding each social occasion, enabling a client to channel quickly for suitable classes. Once in a while, the choice of delineations relies on anxious representation of heuristic data. We model and coordinate reasonable assembly that recognises highlights from bundle assignments and from a subset of highlights seeks bundle assignments. For updated extraction of Multi Labeled Multi-Word Phrases, we present a zone free clustering based way of thought (MLMWEs). The framework incorporates true information from Wikipedia articles from an all-around obliging corpus and connexions. We lace alliance checks to package MLMWEs through pieces of server homesteads and then the organising score for each MLMWEs subject to the closest model offered to a social affair after that process. Results of the assessment, A combination of association figures, achieved for two vernaculars, shows that an improvement in the organisation of independent and vital coefficient frequency controls and ultimately undeniable steps for MLMWEs is given.
Sentiment Analysis for Multi-Attribute Data in OSNs Using Hybrid Approach
Authors: Thallapalli Ravikumar , Narasimha G. , Pramod Kumar P. , Srinivas K , Pallavi P.
Published: December 2020

Increasing popularity of social networks like LinkedIn, MySpace and other networks in present days. Communication is also increased in between users present in social networks. Large amount of data being move on social media because of increase data outsourcing. Sentiment analysis is impressive and interest concept for online social networks, while different types of existing methods to find sentiment in online social networks to define communication between different users to categorize patterns with respect to similar attributes to analyze large data. We present and suggest the Hybrid Machine Learning method in this paper.(which is combination of Balanced Window and Classification based on Parts of Speech) to handle outsourced data of social networks from Face Book and other blogging services are trained and then classify the relation based on emotional aspect like positive or negative and other relations in social streams. The performance of our proposed approach is to extensively close to machine learning and identify important relevant features randomly and perform sentiment analysis in different data streams. Our experimental results show exhaustive level of classification results with comparison of existing approaches in real time environment.
Routing and data aggregation in wireless sensor networks by using clusters
Authors: Chythanya Kanegonda Ravi , Kumar Komuravelly Sudheer , Yadav Bonthala Prabhanjan , Madhuri P. M. , Mothe Rajesh
Published: December 2020

Due to the non-unique node distribution energy consumption existsdifferenceon the basis of clusters networks for wireless sensors. Based on this problem, we propose an effective communication and routing data aggregation tree based on the previous clustering architecture. Using fuzzy logic technology, cluster heads are chosen based on residual capacity, node density and heads for load clusters. Via modifying inter-cluster energy consumption, the algorithm for the energy usage of cluster heads between cluster routing balancing. Using the data correlation model, data compression is then applied to minimise energy consumption.
Survey on machine leaning based game predictions
Authors: Mohmmad Sallauddin , Nikhitha Madishetti V. , Nitin Yarra , Yadav Bonthala Prabhanjan , Sree Bommagani Sathya , Moses Beesupaka Marvel
Published: December 2020

In the world wide millions of people interested on games and competitive matches. The stakeholders stand for one team and produce the sponsorship to the players. Huge amount of money transferred from one hand to other hand. So that stakeholder wants to select a good players into his teams. Here Machine Learning based multi variant regression algorithms used to calculate the progress of each player based on previous datasets to predict the performance at on-going match. To extract the features from on-going match characterized with learned datasets by implementing the Support Vector Machine (SVM), Gaussian Fit-chime (GAU) and KNN algorithms which perform the optimal classification on trained datasets. Feature selection and game predictions are become critical analytical process. The performance of the model effected and produces the outcome based on the feature selection. In this process some irrelevant variables removed to reduce the burden of algorithms and input datasets dimensions. This process speed up the dataset learning using various algorithms to produce the game predictions. The machine learning models mostly preferred algorithms to implement in feature selection are Linear Regression, Decision Tree Regression, Random Forest Regression and Boosting Algorithm like Adaptive Boosting (AdaBoost) Algorithm. In this paper we discussed about how to predict the game score based on trained datasets using various algorithms on Machine Learning platform.
Study of threats associated with cloud infrastructure systems
Authors: Shiva Sai Prasad CH , Yadav Bonthala Prabhanjan , Mohmmad Sallauddin , Gopal M , Mahender K
Published: December 2020

Cloud infrastructure is the new euphemism in professional developers view these days round the clock. The rewards of cloud storage and its unique functionalities are absolutely massive and as such it is a concern of phenomenal significance. It offers various outstanding features such as Multi-tenancy, on-demand support, pay per use etc. This paper generates a report on the possible consequences of cloud computing. Processing infrastructure-as-a-Service illustrates the distribution of threats and how cloud doing so can affect their performance. The cloud infrastructure addresses the various situations where the attacks exist also the steps should be followed to mitigate the attacks. The research also tries at classifying steps have to take when using cloud services to reduce the impacts of undesirable consequences and to safeguard data integrity.
Fiscal Scam Illuminating Through Analyzing Human Behaviour
Authors: Sravanthi T. , Sruthi M. , Tharun Reddy S , Chandra Prakash T , Reddy Ch Vinay Kumar
Published: December 2020

Of these days, money fraud is turning into the employment of criminal practices wherever they will get involved, from senior managers till payroll workers, turning into a criminal sin. There are a vast number of methods that came into existence to analyze, find, and stop this behavior, which is the primary essential thing that is the fraud triangle linked with the standard evidence information model. By performing this study, a review of the connection works among the current literature was administered to build our framework. From this perspective, this paper explains about deception grasp; this framework allows the quality and exactness and disarray of people within a banking association who consign deception, reinforced by the fraud or deception triangle concept. This approach works amongst the permanent review, which can be liable for aggregating the agents to put into user’s assistance and encourage cybersecurity and the dropping of causes linked to financial fraud.
Data Integrity And Ensuring Computation Using MHT In Cloud Computing
Authors: Ghate Sukhaveerji , Yadav Bonthala Prabhanjan , Tharun Reddy S , Swathi N , Endla Purushotham
Published: December 2020

Basically, the architecture model of cloud computing provides the storage capacity as a service over the internet. The main intent of cloud computing is to provide services of security to the users and owners of data. Several security issues are appeared due to appropriate control of data. Hence in this paper the data integrity and ensuring computation using MHT in cloud computing is developed. In this first the data owner will select the initial parameters and choose the random function. The parameters are selected based on the generation of encrypted data blocks (EDB’s). After choosing function random key is computed. Now the Third Party Auditor (TPA) will initialize the data for verification. All this data is stored in the cloud server. This cloud server will follow the cloud service provider rules. Hence data which is obtained from server will computes and generate the signatures using MHT. After generation the path of the node will be identified. At last the obtained data is tested.
Analyze The Legislative Frameworkrelating to Surveillance and Right to Privacy: Issues and Challenges
Authors: Dule Chhaya S , Rajasekharaiah K. M , Prashanth B
Published: December 2020

India is world’s largest democracy of the world and accordingly protects free speech and expression through its laws and constitution, still freedom of speech and expression is not absolute and privacy in online sphere is being restricted for many reasons. There are several reasons for which speech and expression is being curtailed such as-defamation, maintenance of national security and communal harmony are major reasons for which they can be curtailed. Under the Indian Constitution, the scope of Article 21 is multi-dimensional. The laws of torts, criminal laws as well as property law also contain a right to privacy in this paper to examine the adequacy and balance between the privacy of the person and the protection and the safety of the country within the legislative structure relevant to surveillance. It is ironic that the majority of Indians were protected from cyber surveillance PRISM not because they were well shielded from any potential violation of their privacy, but actually because they were not yet able to be online. It also shows that even today, most Indians do not have computer access and do not have access to resources to ensure they are covered of any covert activity by surveillance agencies. But this is definitely not something that the government or the Indian people would stabilize.
RETRACTED: To Reduce Error Rate and Improve Performance of Classification Algorithm
Authors: Nagaparameshwara Chary S , Rama B.
Published: December 2020

In this paper, an improved method is introduced to reduce the error rate of the standard SD in the context of a two-class classification problem. The learning procedure of the improved method consists of two stages. Initially a shorter learning periodic carried out to identify an important space where all the misclassified samples are located. And the discriminative optimal criterion is computationally intractable as it involves probabilities that are not known a priori. And we have presented an algorithmic framework for feature selection based on nonparametric Bayes error minimization and our proposed framework offers sound interpretations over the existing approaches and also provides principled building blocks for establishing new algorithms. For example when weighted features are used as the search strategy as the framework reveals that the Relief algorithm greedily attempts to minimize Bayes error estimated by classification estimator. The new interpretation of Relief insightfully explains the secret behind the heuristically margin. the lower the error rate of the classifier. Consequently, the proposed improved method by its capability of achieving higher classification accuracy.
Tourism Enhancer App: User-Friendliness of a Map with Relevant Features
Authors: Dr. S. Hrushikesava Raju , Lakshmi Ramani Burra , Ashok Koujalagi , Waris Saiyed Faiayaz
Published: December 2020

There is many things to extract over a map that is dynamically available to the users. There are varieties of areas over a region in a map and are in traditional representation. To customize certain areas with own symbols from a pallet by providing prior guide, an environment that supports in user-friendly manner as well as rich built in libraries and simple graphical user interface is the python. With lot of built in libraries for this complex task, python takes less amount of code to bring the real time application compared with many other traditional programming environments. The guide to be intimated before using customized symbols for varieties of things in a particular location. This guide will easily help out how many are there according to category in that particular location. The end user might be aware of which country will be having highest number of that particular asset compared to other countries over a map. The information is worthy and is dynamic so, anybody will have accurate number of specific asset that required further analysis for their works. This information is similar to few apps like taking cursor over a region in a map, there playing radio or showing number of corona cases that are active. Information is wealth is the motto to make this paper as possible that demands the user to know anything over a region. So that, that region will be tagged with that specific asset which makes that location is popular and makes more tourism.
RETRACTED: Sturdy goals coverage for power harvesting Wi-Fi detector coterie
Authors: Chanti Yerrolla , Korra Seena Naik , Bhaskar Bandi , Harshavardhan A. , Srinivas V
Published: December 2020

Power harvesting Wi-Fi detectors Networks structure the dream of web of things frameworks. Vitality reaping hubs might be sent deliberately to screen at least one targets along with a valuable resource. Be that as it may, as these hubs depend on surrounding vitality assets along with sun oriented, they experience irregular power appearances. Subsequently, they may debilitate their collected force simultaneously as observing an objective. To this quit, network administrators require a tough arrangement that secure all goals are observed continually throughout whatever time length with a minded possibility. On this paper, we reckon three novel solid protection prerequisites; each essential safeguard with chance), where is the opportunity of fiascos. To start with, sensor hubs should now not go through more than their absolute collected vitality throughout T time allotments. Second, the power use of each detector hub need to no longer surpass the quality collected in each opening. Third the power consumption of sensor hubs should not surpass the power collected up to the current opening. We figure threat controlled stochastic applications that consolidate those necessities and cure them utilizing the example basic Approximation (SAA) technique. We affirm through tremendous reenactment examines that our applications are fit for figuring detector hubs actuation occasions that meet a given inclusion disappointment likelihood.
The comparative study on agglomerative hierarchical clustering using numerical data
Authors: Praveen P , Ranjith Kumar M , Shaik Mohammed Ali , Ravikumar R , Kiran R
Published: December 2020

In theconventional way of convert data into a singleton or merging has many drawbacks mainly computational complexity. In this context hierarchical clustering method for quantitative measures of similarity among objects that could keep not only the structure of categorical attributes but also relative distance of numeric values. For numeric data the number of clusters can be validated through integral data, the hierarchical and partitioning methods the relationships among categorical items. In This Paper we hereinvestigate linkage criterions in hierarchical clustering algorithm performance calculations using with Euclidian distance measure and some clustering techniques and their applications have been discussed. It also describes the necessities to be calculated for constructing a well-organized to handle the huge data sets. As the study initially investigates distinct issues for creating clusters with numeric attributes. The efficiency is obtained by clustering of datasets that comprises of numeric attributes related to distinct applications. Significant issues such merging object naturally uses Euclidean distance is resolved by using Agglomerative methods.
Innovative teaching practice on “software engineering laboratory course”
Authors: Harshavardhan A. , Ramesh D. , Kumaraswamy P. , Akarapu Mahesh , Jamalpur Bhavana , YerrollaChanti
Published: December 2020

Teaching Software engineering is very difficult because it includes theory and practical approach. Applying the theoretical knowledge is very complex. At the same time theory can’t be understood without applying. In this paper, we present an innovative teaching practice on the course “Software Engineering Practical” by which students will have a practical knowledge. We use different teaching steps and software tools to build an interactive lab atmosphere for the students to learn, recognize and understand the concepts of software engineering.
Secure Multiparty computation enabled E-Healthcare system with Homomorphic encryption
Authors: Vijaya Kumar A , Sujith Mogalapalli Sai , Sai Kosuri Tarun , Rajesh Galla , Yashwanth Devulapalli Jagannadha Sriram
Published: December 2020

With the spread of Covid–19 pandemic it is difficult for many patients to physically visit the Hospitals and get treatment. The Improved technology enable such patients to contact the concern doctors and get diagnosis information online. The security of the sensitive data of the Patients is vulnerable when the information is shared across the network. To address this, we are proposing a novel approach with the Privacy ensured self-care health management schema using Secure Multiparty computation (MPC). Through this approach the patient can share the sensitive data to the Hospital server through the online mode, the data will be shared in the encrypted format which will be matched with the existing data at the Hospital records and the best relevant match based on the smart Index of disease. The privacy preserving is key aspect in this model as the data is shared in the sensitive mode so the Homomorphic Encryption (HE) approach is used to perform computations on the Patient’s sensitive data in the encrypted mode and ensure the confidentiality from Intruders to access the information. This model also proposes a novel approach which can overcome many security threats. The patient’s data will be shared and used in a more secured manner so the patients specifically the elder who are not advised to visit the public places in this pandemic can also receive better treatment through online.
A Comprehensive Study On Evaluation Of Strategic Innovation In Creative Industries And Ensuring Strategic Innovations In Business
Authors: Rajya Laxmi Dr. M. , Kafila  , Pragathi Dr. B. , Sujatha KM , Ramesh Babu D
Published: December 2020

The tip of lively activities to the timely renovations in the outdoor setting to neutralize market disorder is not a brand-new. Considering that the early 1990s provider agility was translucent intellectuals and also practitioners and also a handy answer which shields companies in the manufacturing procedures coming from declines and enables their survival in conditions of unpredictable alterations in the working environment In health and wellness ailments of unpredictability along with a rising price of renovation, the prospective services to endure depends on their agility in replying to the issues of unforeseeable setup. This paper provides a comprehensive study on evaluation of strategic innovation in creativeindustries and ensuring strategic innovations inbusiness.
Identifying the Areas of Project Management Competences and Resources, Capabilities Facilitating Agility Development
Authors: Kafila  , RajyaLaxmi M. , Bhavana J. , Sujatha K M , VijayaSrinivas R.
Published: December 2020

Nowadays, along with the development of innovations, market setups are changing and also changing at an effortless cost challenging, thereby, ventures. Many ventures are finding themselves in exceptionally inconstant markets as well as additionally experience the demand for re-conceptualizing their market techniques. While markets come to be unstable, the concentration of business is placed much more above premium, price, circulation, and additional development all at once. The last is encountered not clear business shapes, which improve all of them in the direction of finding the most effective suitable exits if you would like to survive in a challenging temperature. This paper identifies the areas of project management competences and resources, capabilities facilitating agility development.
Technology based startups pivoting for sustainability: case study of startups
Authors: Satheesh Raju G , Kumar Dr N Suman , Nikkat Soni
Published: December 2020

The startups around the world in their early-stage needs to sustain and grow. Global entrepreneurship monitor report revealed that many startups faced problems in the early stage and only a few have moved ahead. Pivoting is the decision startups should understand and should know when to pivot. Indian startups face a set of challenges. Entrepreneurship and startups are recent phenomenon in the country. It is only the last few years’ people started to move from job seekers to job providers. Starting a venture is tough were every country sees more failures. This paper is a result of study done by interviewing ten startups out of which two of them were constructed as case studies. It has been carried out to identify the issues and challenges faced by startups. The study is focused on the key issues the startups are facing and the challenges they have faced in the startup journey. The interview has been showcased as case studies. The preliminary findings suggest that the startups have found it difficult with their initial ideas, their monetary performance was not considered, but the way they changed as per the need has been presented. These case studies can be used by startups to understand how to reconstruct there venture ideas and avoid early barriers, interesting challenges that have been faced by these startups has been presented.
Experimental Study on Thermophysical Properties in AgCl
Authors: Madhusudhan Rao A. S. , Madhusudhan Rao P. Venkata , Kare Anno , Srinivas Anna
Published: December 2020

For the first time, an experimental study on
γ

- ray attenuation in AgCl has been taken up to determine the mass attenuation coefficient (m) and to investigate variation of linear attenuation coefficient, density (p), and the coefficients of linear and volume ((3) thermal expansions in AgCl in the temperature range 300K-700K..
X-Ray Debye temperature study of Gruneisen constant of Hexagonal Phase Cu1-x-Znx alloys
Authors: Endla Purushotham , Srivani N
Published: December 2020

Hexagonal Close Packed (HCP) phase Copper-zinc (Cu1-x Znx) alloys have been discussed with compositions (x = 79.20, 82.00, 84.30, 86.10, 97.10, 97.50, 98.10, 98.60, 99.50). These alloys have been prepared from spectroscopically pure copper (Cu) and zinc (Zn) metals by melting using the glass blowing and vacuum sealing process with appropriate quantities in evacuated quartz tubes. For the duration of melting process the alloy/mixture was systematically stirred to get homogenization alloy. The powder samples of all the Cu1-x Znx alloys were prepared by gently filing the ingots with jeweller’s file. The evaluated Debye temperature values were compared with Debye temperature values evaluated from Kopp-Neumann relation and other four relations composition dependence relation, specific heat relation, empirical relation, Gril and Mittra relation. Gruneisen constant of hcp phase Cu1-x-Znx alloys were evaluated utilizing a relation associated with Debye temperature values were measured from X-Ray diffraction method.
Electronic, NLO, and thermodynamic parameters and frontier molecular orbital investigation of pentafluoro phenol and pentachloro thiophenol with DFT approach
Authors: Venkata Ramana Rao P , Srishailam K , Rajesh Adla
Published: December 2020

UV-Visible spectra of Pentafluoro phenol (PFP) and Pentachloro thiophenol (PCTP) were estimated with the help of time-dependent density functional theory. Frontier molecular orbital (FMO) approach was used to understand origin of UV-Vis spectra of the molecules. Molecular electrostatic potential (MESP) surfaces were drawn for PFP and PCTP, to establish regions of charge accumulation. Non-linear optical (NLO) parameters (e.g. hyperpolarizability,) were computed. Thermodynamic parameters of these molecules were also calculated.
Estimation Of Coefficients For A Novel Subclasses Of Harmonic Mappings
Authors: Ravindar B , BharaviSharma R
Published: December 2020

Using the theory of q-calculus, in this article we consider certain classes on harmonic functions by subordination associated by the Ruscheweyh operator. Coefficient inequalities and extreme points of these classes are determined.
Association Constant And Free Energy Change Properties Of Sodium Salt Of 1-Butane Sulphonic Acid In Aqueous Meoh And Aqueous Dmso Composition
Authors: Jakkula Sunil Kumar , Veerati Radhika , Rajesh Adla
Published: December 2020

Various elements similar to density, viscosity, medium dielectric constant, ion-solvent relationships, and measurements of solvent-solvent, form properties of ion-conductance and ion solvation related to different solvent electrolytes. In solving it, ion-solvent relations pacify the ion. In the analysis of ion solvent associations and ion solvation activities, conductance data and association constant figures of distant electrolytes are used. Conductance and ion solving properties of 1-butane sulphonic acid sodium salt measured in aqueous methanol and aqueous DMSO of varying composition in the 298 K to 318 K-temperature range. Limiting molar conductance, ion pair interaction constants, KA using Shedlovsky limiting law to work out. With the percentage of water in the solvent mixture, ∧0 increases. In 80% aqueous-methanol mixture, KAvalue and free energy changes are maximum, indicating that ion-solvent interactions are maximum in this composition of solvent blend and ion conductance properties as a purpose of clear ion-solvent links, including structural influence.
Collaborative Learning Through Virtual Labs in Engineering Education
Authors: Jakkula Sunil Kumar , Endla Purushotham , Dugyala Praveena , Kumaraswamy T.
Published: December 2020

In education, virtual laboratories are a novel screening technique. Such virtual laboratories assume a critical job in the field of moulding engineering. There are different applications in the instruction arena where the use is traditional. This paper plans to captivate the engineering feat with the bang of a virtual laboratory in the design of teaching. In the course, entitled ‘Engineering Chemistry’ the fundamental point of this thesis is to investigate the effect of a virtual science laboratory on engineering deeds. It introduces the planned electronic assets for a virtual lab and explains the e-asset implementation strategy. Later, by comparability with the routine in class contexts, the work reviews the usefulness of virtual science laboratories connected with engineering education, research skills and practice. The examinations specify that the traditional style of combining both virtual and hands-on learning circumstances is likely to help the potential and practice of engineering research in structural science.
Eco-Friendly One Pot Synthesis Of Triazole Containing Pyrrolopyridine Derivatives Using PEG-600
Authors: Ravi Kumar B , Srivani K , Ramesh M , Thirumala Chary M , Laxminarayana E
Published: December 2020

PEG-600 was used as solvent to synthesize title compounds in one-pot, green and three component method. Compound4a-ederivatives were obtained by a three-component reaction of Pyrrolopyridine (1), propargyl bromide (2) and 1-(azidomethyl)-4-halobenzene (3) which is an eco-friendly method.
Analytical study on Air India Traffic Using Artificial Neural Networks
Authors: Sarla Pushpalatha , D Mallikarjuna Reddy , Ravi Kiran G
Published: December 2020

In the past few years, Artificial Neural Networks (ANNs) have become more popular as a revolutionary approach to forecasting the time series. The present paper discusses Artificial Neural Networks to forecast air traffic. In this study, we developed an Artificial Neural Network (ANN) model to predict the air traffic of Air India by using a Multi-Layer Perceptron network. For this, we have considered the number of passengers traveling monthly in different seasons from January 2012 to December 2019 by air India domestic flights. The results provided through the model were entirely satisfactory.
Eliminating products’ fake reviews using network parameters and geo location
Authors: Raja B , Malathy V , Shilpa N , Anand M
Published: December 2020

People purchase things based on the online reviews. But the reviews may not be trusted always. Sometimes there may be false information about the product and this may lead to loss for the sales. Customers also take wrong decision for purchasing the things. So, a system is proposed in this paper to eliminate false reviews. The product reviews are compared here. Using network parameters and geo location, the system identifies the IP address for PC and browser ID for mobile OS of the false review. Also it directs the admin to remove the review if it is attempted many times. By comparing the reviews, the level of the product can be increased. With the key boards the model divides the positive and negative reviews.
Real Time Fitness Analysis of Bitumen Road and Vehicle through Their Acoustic Signals
Authors: Venkatesulu S , Sudarshan E , Korra Seena Naik , Raghava Kumari D , Yadav Bonthala Prabhanjan , Mahender K
Published: December 2020

Accidents occur due to road and vehicle conditions. Need to know how fast the vehicle is traveling on the road and how fast the vehicle is running; what speed vehicle brake system is exactly applicable. Vehicle owners and riders need to know these two things. Knowing these two things will reduce the risks by a maximum of 96%. The main reason is that the roughness of the road and the condition of the vehicle can save the global economy, improve supply time and save millions of lives if these two things are adjusted. Hence vehicle efficiency and repair cost are greatly reduced. The road roughness is good when we are traveling on the road, at that time the vehicle noise is less and the movement of vehicles is very smooth. At that time when the road roughness is average the vehicle noise will increase slightly and the movement of the vehicles will be rough. At that time when the road roughness is less than average the vehicle makes more noise and the movement of vehicles becomes more difficult. We propose a mathematical analysis of the International Roughness Index (IRI) and road roughness impedance. Scale ranges from 1 to 5 to assess road condition according to IRI. The road condition scale was excellent on the 1st, very good on the 2nd, good on the 3rd, fair on the 4th and poor on the 5th. These measured values actually calculate the road roughness impedance (RRI). If the RRI value is low, the road condition is excellent, if the RRI value is low, the road condition is good, if the RRI value is medium, if the road condition is good, if the RRI value is high, the road condition is good and if the RRI value is high the condition is low. This information and vehicle condition are displayed on the vehicle dashboard. This will enable us and the government to find out the information of the damaged roads and take immediate action to rectify the problems without making extra effort.
Analysis of The Energy Efficiency of Wireless Communication When Receiving A Data Stream
Authors: Juraeva Nafisa Inoyatovna , Khayrullaev Alisher Fayzulla ugli , Hamraev Javlon Hoshim ugli
Published: December 2020

In this article, the tasks of energy efficient operation of a mobile station in wireless communication system were considered. At the same time, the main attention was paid to the consideration of ensuring energy efficient data delivery to the mobile station while meeting the transmission delay requirements. In particular, the operation of a standard power saving mode control algorithm in an IEEE 802.16m network was investigated. Issues related to the functioning of this algorithm when receiving data streams with variable intensity were studied. To conduct such a study, a model of a data transmission system was developed and a universal characteristic was introduced for comparing various control algorithms for the energy saving mode-the energy efficiency coefficient. In addition, an optimization problem was formulated for choosing the parameters of the energy saving mode. After analyzing the existing control algorithm for the energy saving mode, an effective control algorithm was proposed, the use of which makes it possible to achieve a gain in the energy efficiency coefficient of up to 20% when receiving a data stream with variable intensity.
Solar energy harvesting for smart farming using nanomaterial and machine learning
Authors: Vatti Rambabu , Vatti Nagarjuna , Mahender K , Lakshmi Vatti Prasanna , Krishnaveni B.
Published: December 2020

Farming is very labour intensive and needs timely action. In smart farming many activities of farming are conducted by machines which run on electricity. Electricity is one of the key elements of smart farming. The quality and cost of the agriculture produce are mostly determined by quality of the available energy and energy utilized. Though India is agriculture rich country, many rural areas are still not provided with sufficient electricity for the farming. In the current scenario of depleting natural energy resources like fossil fuels, using electricity generated from fossil fuels is expensive. Hence, there is a strong need to shift to nonconventional renewable and natural energy resources. Solar energy is one such energy available in abundance in India, however, the existing solar energy harvesting technologies which uses solar cell technology is able to convert very little portion of the available solar energy. The conversion efficiency of solar cells is found to be 16-18%. The authors in this paper present a more efficient solar energy harvesting technology which uses nanomaterial for improving conversion efficiency and machine learning technology to maximize the collection of solar radiation by continuously tracking the path of the SUN in all the seasons.
Smart Memory Management (SaMM) For Embedded Systems without MMU
Authors: Bukkapatnam Krishnaveni , Prashant  , Rekha Ch Kranthi , Kumaraswamy Eelandula , Vatti Rambabu
Published: December 2020

In the wake of extensible usage of IOT (Internet of Things) enabled Embedded Systems, it is of great importance to find ways of using Memory in the most efficient way. Embedded Systems are also space constrained, hence at various places, it may not be possible to deploy a Hardware based–(MMU) Memory Management Units. In MMU less Embedded systems, there are various principles of DMA being applied; however, they are all constrained in one way or the other. With this backdrop, this paper is exploring opportunities to achieve higher performance and efficiency in Memory Management by using Smart and Programmable methods. Proposed methods have achieved an overall improvement in Allocation speeds to the tune of 3-4 times, however there is a marginal drop in Deallocation speed. Overall a better bargain and another very good outcome is 0 defragmented memory. This paper also presents algorithms for Allocation, Deallocation and Defragmentation processes, which can be implemented within available Application Software.
Effect of physical parameters on the drain characteristics of Double gate MOSFET incorporating Quantum Mechanical Effects
Authors: Jha Shankaranand , Kumar Ritesh , Choudhary Santosh Kumar
Published: December 2020

Scaling of bulk MOSFETs in nanometre regime has several disadvantages. The electrical behaviour of the devices doesn’t show the anticipated characteristics if scaling is done beyond certain point. But in order to have smaller devices with higher density on chips, it is necessary to avoid short channel effects (SCE) which lead to unexpected electrical features. One of the methods to avoid SCE is to have multi-gate architecture of MOSFET. This paper investigates the behaviour of double-gate MOSFETs with respect to the variation of their physical dimensions. The analyses have been done taking into notice the quantum mechanical effects due to dimensions in nanometre scale. The results obtained highlight how subthreshold and above threshold regions are impacted due to the various physical quantities that have been varied.
Anti-Poaching of Trees in Forest-Based on IoT
Authors: Sanjay Kumar S. , Ravi V. , Rajendra Prasad Ch. , Ramchandar Rao P.
Published: December 2020

Sandalwood, sagwan trees are smuggling by the thieves in the present days. These trees are rarely available and more cost also. There are many uses of sandalwood trees such as we can utilize in skincare products and Ayurvedic medicine. The primary goal of this paper is to design a framework or system which will be utilized to restrict the sneaking of sandalwood trees. A system can be developed using a gyro sensor(to detect the inclination of the tree which are being cut), thermistor sensor(NTC 10k), esp8266 device(Wi-Fi device) and GSM Module, to restrict smuggling and to track the trees much easy. These sensors data will consistently check with the Thingspeak cloud platform. The obtained data is stored in Thingspeak Server with using of the esp8266 module. Forest officials get alert when any event occurs so that appropriate operation will be taken.