bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
For the first time, an experimental study on
&#x03B3;

- 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

Abstract
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

Abstract
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.
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

Abstract
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

Abstract
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

AbstractPEG-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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
Radio frequency identification based electronic voting machine using fingerprint module
Authors: Malathy V , Shilpa N , Anand M , Elavarasi R 
Published: December 2020

AbstractRadio frequency identification (RFID) based electronic voting machine (EVM) with fingerprint module overcomes the challenges of wired electronic voting. Finger print module is to authenticate the voters. In this paper the system is constructed with microcontroller, Liquid Crystal Display (LCD), RS232 cable, RFID reader, RFID tag, fingerprint module and buzzer alarm. Dishonest voting will be avoided if the government uses the biometric based system. The details of all voters with their fingerprint will be stored in the database. Database is kept in microcontroller. Microcontroller verifies the voter by comparing the database during polling. If a person with RFID comes for second time voting, immediately the buzzer gives sound. The RFID base EVM will reduce time consumption. When compared to the existing voting system, the system in this paper is expected to be fast and reliable. The voters’ details will not be revealed out. For every polling end, the button should be pressed for getting the number of votes polled.
Review on EEG-BCI classification techniques advancements
Authors: Janapati Ravichander , Dalal Viswas , Govardhan N. , Gupta Rakesh Sen 
Published: December 2020

Abstract
A BCI is a system of hardware and software integrated as an interface between the brain and the computer. A BCI translates the EEG signals, originating from the brain, into computer commands, commands that help the user interact with the external real world in a useful manner. The possibility that EEG signals can translated into any open-ended computer command, opened endless possibility. What a person can do with EEG-based BCI is now just limited by imagination. This paper will discuss advances in the practical aspects of different classifiers for EEG-based BCI, as well as the theoretical advances in signal processing and user relevance of these advance in EEG-based BCI in real-time applications.
Microcontroller Based Monitoring and Controlling of LPG Leaks Using Internet of Things
Authors: Anuradha P , Arabelli Rajeshwar Rao , Rajkumar K , Ravichander J 
Published: December 2020

Abstract
This paper aims to monitor LPG gas leakage continuously at home or in industry. In the event of gas leakage, this information will be updated via IoT communication to the web browser. The user can continuously monitor the data using IoT. The gas sensor that can detect LPG gas is called the MQ06 sensor. IoT, the LPG leak detection system in Arduino senses LPG gas using a LPG gas sensor. This project implements LPG gas sensor interfacing with Arduino. The signal is sent to the Arduino microcontroller from this sensor. A LED, buzzer and IOT module (ESP8266) are connecting the microcontroller. The design for the IoT LPG leak detector implemented using the ESP8266 chip. This Wi-Fi module is designed to connect microcontrollers to a Wi-Fi network and to connect to TCP / IP and send data. Emotion data is then sent to the IoT. The IoT module sends data to the web. The detector is switched on when a gas leak is detected and a “leak” message is displayed on the site. LPG leak detection system based on IoT and Arduino can be installed in homes, hotels and storage areas of LPG cylinder. The main benefits of this project are that it is possible to determine the leakage and to send the data to a website to monitor it and to take corrective measures. When adequate action is taken quickly after reporting on the IoT, it can help save lives and property losses.
Area-Delay-Power analysis of Carry Look-AheadAdder Architecture
Authors: Rajendra Prasad Ch. , Srikanth Y. , Ramchandar Rao P. , Sanjay Kumar S. 
Published: December 2020

Abstract
The addition is common in hardware for the microprocessor and digital signal processor (DSP), and an adder is used to execute the addition. The Adder should feature high speed and low power for real-time applications. An effective adder architecture principally advances the performance of microprocessors and DSP systems. The carry propagation delay (CPD) is the main apprehension in the design of adder architecture. To address CPD, a new Carry Look-Ahead architecture is proposed, in which the carry propagation is scheduled before the calculation of the final sum using carry look–ahead (CLA) method. A quantitative estimate shows that the Area Delay Product (ADP) of proposed adder architecture is minimized by 10% as compared with the existing adders’ architectures.