bluuebunny/crossref_metadata_2025 huggingface dataset:
The Estimation of Risk on Cloud Computing Framework
Authors:   Assistant Professor, GD Goenka University, Gurgaon, India, Priya Dr. Rashmi
Published: February 2020

The Cloud Service which is provided generates access to the present resources by service level agreements (SLA) which is formal, and they require proper balanced infrastructures in order to maximize the quality of service (QoS). They try to minimize and provide offer to the count of violations that are offered by the Service Level Agreements. The paper emphasizesonaproper or area of risk assessment which is specific to the applications related to cloud computing. The methods which are present with in a frame work that is to beused by service providers related to cloudand consumers related servicein order toprovide assessment of riskin case of deployment of serviceand the related operation. The paper also puts emphasis onthedifferentstages which are involved in the life cycle of services where assessment of risk takes place. This leads in the design and implementation of risk models which are in correspondence. The risk puts an impacton the architectural components providing specialem passion management which is holistic to provides upport at operation of services has been described. The assessor which is related to risk has been proven coeffective various evaluation provided through the experiments and its implementation which needs to be integrated in a toolk it environment provided by cloud computing.
Feature Descriptors Applied to Slag Characterization on Casting Process
Authors:   Universidad Autónoma de Querétaro, Querétaro, México. E, Romero-González* Julio-Alejandro , Herrera-Navarro Ana M. ,   Universidad Autónoma de Querétaro, Querétaro, México., Jiménez-Hernández Hugo ,   Project leader, Centro de Ingeniería y Desarrollo Industrial, Querétaro, México.
Published: February 2020

Vision systems are increasingly entering the field of metallurgy, carrying out operations where a human operator is not possible due to the process conditions. The purpose of these systems is the monitoring and control of the process to improve the quality and manufacturing of the products. Nevertheless, the amount of slag, the presence of gases and high temperatures are the main problems that make this task difficult. In this proposal the characterization of the slag is treated, through the analysis of the light changes with the functions of Fourier and Gabor, which allow to identify or locate the location of the slag in the material, so that, in future works the slag It can be segmented, measured or used to detect the level of the metal in the refractory. In addition, results obtained when evaluating sensitivity and precision curves are presented, with which the information recovered by the algorithms is evaluated.
Hysteresiscontrolled Quasi Z-Sourceinverter Fed Induction Motordrivesystem with Enhanced Response
Authors:   Research Scholar, Department of EEE, JNTUA, Ananthapur, Andhra Pradesh, India., Himabindu* D. , Sreenivasan Dr. G. ,   Professor, Department of EEE, SRIT, Ananthapur, Andhra Pradesh, India., Kiranmayi Dr. R. ,   Professor &-Head, Department of EEE,JNTUA,-Ananthapur, Andhra Pradesh, India.
Published: February 2020

“-This-effort deals with-enhancement in-dynamic-response-of-QZSIfed-induction-motorframework”. The objective of this effort is to develop-a-closed-loop-controlled-QZSI-fed induction-motor-framework that provides a steady-rotor-speed. -This has been realized using -closed-loop-controlled-QZSI-IMDframework. The ‘QZSI’ is exploited to switch it to ‘three-phase-AC’. The yield of-3phase-inverter is sorted before it is applied to a ‘3phase-Induction-motor using a OTT--filter’. The methodology involves simulation of open-loop QZSI-IMD system and closed loop PR and HC controlled QZSI-IMD systems.The result obtained using Proportional-Resonant(PR) controlled QZSI-IMD system is compared with Hysteresis controlled QZSI-IMD system and it is proved that HC based QZSI-IMD system produces better dynamic-response than PR controlled QZSI-IMD system . The proposed Hysteresis controlled QZSI-IMD system has advantages like low settling time and less peak –over-shoot.
Human Activity Recognition using Deep and Machine Learning Algorithms
Authors:   Department of CSE, SSN College of Engineering, Chennai, India., B* Bharathi , J Bhuvana ,   Department of CSE, SSN College of Engineering, Chennai, India.
Published: February 2020

Activity recognition in humans is one of the active challenges that finds its application in numerous fields such as, medical health care, military, manufacturing, assistive techniques and gaming. Due to the advancements in technologies the usage of smartphones in human lives become inevitable. The sensors in the smartphones help us to measure the essential vital parameters. These measured parameters enable us to monitor the activities of humans, which we call as human activity recognition. In this paper, we have proposed an automatic human activity recognition system that independently recognizes the actions of the humans. Four deep learning approaches and thirteen different machine learning classifiers such as Multilayer Perceptron, Random Forest, Support Vector Machine, Decision Tree Classifier, AdaBoost Classifier, Gradient Boosting Classifier and others are applied to identify the efficient classifier for human activity recognition. Our proposed system is able to recognize the activities such as Laying, Sitting, Standing, Walking, Walking downstairs and Walking upstairs. Benchmark dataset has been used to evaluate all the classifiers implemented. We have investigated all these classifiers to identify a best suitable classifier for this dataset. The results obtained show that, the Multilayer Perceptron has obtained 98.46% of overall accuracy in detecting the activities. The second-best performance was observed when the classifiers are combined together.
A Hybrid DELGA Algorithm for Protein Ligand Docking
Authors:   Department of Computer Science, Bharathiar University, Coimbatore., Vishalini* E. Pavithra , Ramyachitra D. ,   Department of Computer Science, Bharathiar University, Coimbatore., Lakshmi P. ,   Department of Computer Science, Bharathiar University, Coimbatore.
Published: February 2020

Protein-ligand docking is a computational molecular modeling method that is used in drug design to predict the optimal binding pose between the ligand and receptor. AutoDock is an open-source freeware program used to predict docking poses. It uses LGA) Lamarckian genetic algorithm to enumerate the binding energy. In this research work, we proposed an approach of hybrid Differential evolution base Lamarckian genetic (DELGA) algorithm to calculate the lowest binding energy. The experiment conducted to compute the 65 molecular instances, the results exposed that our approach predicts lowest docking energy with minimum root mean square deviation (RMSD) in comparison to the LGA, SA and PSO algorithms.
3061 Retrieval Number: D1608029420/2020©BEIESP DOI: 10.35940/ijitee.D1608.029420 Journal Website: www.ijitee.org Published By: Blue Eyes Intelligence Engineering & Sciences Publication Design of Meta Material Inspired Series and Corporate Feed Network Antenna
Authors:   Department of Electronics and Communication Engineering, Sathyabama Institute of science and Technology, Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai, Tamil Nadu, India., Prabha R.* Sakthi
Published: February 2020

The present techniques are in the form of open literature used to work on selected frequency that has eight and sixteen rectangular patches. The size of it has become compact. Each approach offers different advantages, depending on the required applications. An array antenna is designed and analyzed using series and corporate feed network The FR4 substrate material which is of low cost and easily available in market is used to design the array antenna. An analysis is carried out for both series and corporate feed array antenna in terms of return loss, peak gain, VSWR, directivity, and bandwidth. The antenna’s size is reduced to a very compact size using optimization techniques without degrading the performance characteristics. The design is implemented to work for the multiband applications rather than a single application. Simulation is carried out in HFSS (High Frequency Structure Simulator) software tool. The design proposed is analyzed based on the performance and then it is fabricated.
Multiuser Detection and Channel Estimation for CDMA System under Flat Fading Channels
Authors:   GMR Institute of Technology, Rajam, Srikakulam, A.P, India., Raju* Dr. Guntu Nooka , Rao Dr. K. Srinivasa ,   GVP College of Engineering for Woman, Visakhapatnam, India., Ratnakanth Bethapudi ,   Vignan Institute of Technology & Science, Hyderabad, India.
Published: February 2020

For a level blurring code-division multiple access (CDMA), the numerous entrance framework is done by speech signal, and it shows the real framework by different conditions like comprising of state condition, multiplicative commotion condition , the nonlinear estimation condition, and an ideal separating calculation and these are used for joint recursive channel estimation and multi users separation. It ought to be focused on that the new calculation is pertinent to issues with a similar sort of nonlinear framework which shows that related commotions. Recreations process demonstrates that the new calculation performs are superior to the expanded Kalman channel estimation in faster merging rate and lower in bit mistake rate.
MEMS Based Microneedles in the Field of Drug Delivery
Authors:   Dept of Electronics, Akkamahadevi Women’s University, Vijayapura, India., Nagod* Shilpa , Halse Dr S. V ,   Vice-Chancellor, Davangere University, Davangere, India.
Published: February 2020

The technology of MEMS has paved way for many biomedical applications where a lot of new devices at microscale have emerged making the diagnosis and treatment of diseases more easy and efficient. Microneedles are one such example which have been used in drug delivery, vaccines as well and also in the field of cosmetology for skin treatments for scars, pigmentation, acne etc. Apart from penetration into the skin, the microneedles are also used in treating eye with some insertion of bioactives and also in the treatment of cells. The success of microneedles design and its application would depend solely on how it gets infused into the skin, skin recovery post the microneedle removal, how the drug stays stable during manufacturing and the delivery as well. Microneedle can pierce into the skin only when required amount of pressure is put for the insertion. This paper reviews on inception and the evolution of MEMS based microneedles and a microneedle is designed to show through the simulation that the force of 1.29N is required to break through the human skin for the reliable delivery of the drug.
Production, Perfomance and Emisions of Bio Diesel from Mixture of Animal Waste Fats and Degradation of Bio Diesel over Time
Authors:   Student Thermal Engineering Dept., Godavari Institute of Engineering and Technology, Rajahmundry, India., Pradeep* Vegivada Venkata Ganga , Jogarao Bikkavolu ,   Associate Professor, Thermal Engineering Dept., Godavari Institute of Engineering and Technology, Rajahmundry, India.
Published: February 2020

As the population increases day by day that makes the use of automobiles globally and hence the use of fuel increases especially diesel. Diesel fuel plays vital role due to immense working efficiency and less fuel consumption which increases the demand of diesel. As the crude oil going to be exhausted in few decades, so many researches are striving to find an alternate and finally found Bio-sources to manufacture Biodiesel whose properties are near to the Diesel fuel. These fuels are prepared from Crude oils. This paper deals with the production, performance and emissions of Biodiesel which is obtained after a chemical reaction called ‘Transesterfication’. It is a mixture of waste animal fats viz., fat from Pig called ‘Pork Lard’ and also fat from chicken called ‘Chicken Tallow’ are tested for different properties of the Biodiesel. The prepared bio diesel was tested in a Variable compression ratio diesel engine with different blend ratio of fuels (Bio diesel and normal diesel) and (bio diesel, diesel and ethanol) at different injection pressures. Also compared the performance of freshly blended biodiesel with degraded biodiesel for 2 years.
Full Adder for Low Power Applications
Authors:   University School of Information Communication and Technology, GGSIPU, New Delhi, India., Jhamb* Dr. Mansi , Kumar Manoj ,   University School of Information Communication and Technology, GGSIPU, New Delhi, India., Vishal  ,   University School of Information Communication and Technology, GGSIPU, New Delhi, India.
Published: February 2020

In an electronic processing system, addition of binary numbers is a fundamental operation. A one bit low power hybrid FA(full adder) is shown in showing performance improvisation by analysis and comparing with other conventional adders. 1 bit low power hybrid full adder is considered as a good way for enhancing the speed of the circuit in comparison with other conventional circuits of full adders. In that analysis paper, one bit low power hybrid FA(full adder) is implemented by EDA tool and the simulation is analysis by using generic 90nm CMOS technology at 5 volts and comparison is done at various voltages with other conventional full adders. For comparing 1 bit low power hybrid full adder with other conventional adders at various parameters such as static and dynamic power usage, delay & pdp (power delay product) are taken into consideration to show that 1 bit low power hybrid full adder is most suitable for various low power applications.
Prediction of Breast Cancer Disease using Machine Learning Algorithms
Authors:   Associate Professor, Department of Computer Science, GITAM Deemed to be University, Visakhapatnam., Srivenkatesh* Dr. M.
Published: February 2020

Background/Aim: Breast Cancer is the most often identified cancer among women and major reason for increasing mortality rate among women. The early strategies for estimating the breast cancer sicknesses helped in settling on choices about the progressions to have happened in high-chance patients which brought about the decrease of their dangers. Methods: In the proposed research, we have considered breast cancer data set from kaggle and we have done pre-processing tasks for missing values .We have no missing data values from the considered data set .The performance of the diagnosis model is obtained by using methods like classification, accuracy, sensitivity and specificity analysis. This paper proposes a prediction model to predict whether a people have a breast cancer disease or not and to provide an awareness or diagnosis on that. This is done by comparing the accuracies of applying rules to the individual results of Support Vector Machine, Random forest, Naive Bayes classifier and logistic regression on the dataset taken in a region to present an accurate model of predicting breast cancer disease. Results: The machine learning algorithms under study were able to predict breast cancer disease in patients with accuracy between 52.63% and 98.24%. Conclusions: It was shown that Random Forest has better Accuracy (98.24 %) when compared to different Machine-learning Algorithms.
New Forced Ventilation Technology for Inert Gas System on Tankers
Authors:   Professor, Chair of Ship’s Thermal Energy, National University “Odesa Maritime Academy”, Odessa City, Ukraine., Malakhov* Oleksiy V. , Kolegaev Milhail O. ,   Professor Dean, Department of Ship Mechanical, National University “Odesa Maritime Academy”, Odessa City, Ukraine., Brazhnik Igor D. ,   Postgraduate Student,t Department of Ship Mechanical, National University “Odesa Maritime Academy”, Odessa City, Ukraine., Saveleva Oksana S. ,   Professor and Head, Department of Education and Methodical Chair of Oil-Gas and Chemical Engineering, Odessa State Polytechnic University, Odessa. Ukraine., Malakhova Diana O. ,   PhD. Department of Chair of Oil-Gas and Chemical Engineering, Odessa National Polytechnic University, Odessa. Ukraine.
Published: February 2020

This investigation is devoted to the development of a new technology for cargo holds ventilation on tankers. The quality criterion for this process is the value of the residual oxygen concentration inside the hold. The long duration of the process and its high cost directly determine the quality of tanker operation. They directly affect the duration of the operating mode and the speed of tanker loading with a new type of cargo. Time reduction of the inertization of cargo holds and the use of information technology to monitor its current performance can increase the income from the operation of the tanker. It was stated that forced ventilation should be used during the supply of inert gases to the cargo holds of the vessel. When inert gases enter the cargo hold as a jet there could be increased a convective transfer between air and inert gases. In this case, inside the enclosed volume of the hold, the oxygen concentration decreases to standard values in a shorter period of time. A new forced ventilation technology has been developed for the vessels inert gas system. Its use is supplemented by information technologies that give an ability to control the basic parameters of the process.
The Optimal Power Flow Solution by Optimal Location of STATCOM Device using AHP Method
Authors:   Dept. of EE, AUCE( A), Visakahpatnam, (A.P}, India., Maru* Yeshitela Shiferaw , Padma K. ,   Dept. of EE. AUCE (A), Visakahpatnam, (A.P), India.
Published: February 2020

Optimum power flow is a useful tool for planning and operating the electrical system and maintains the economy and safety of the modern electrical system. Teaching, Learning-based Algorithm is one of the new Metaheuristic algorithms which can influence both teachers and students by expediting the interaction among them in sharing the necessary knowledge. The proposed TLBO is designed here to solve the problem of an optimum power flow with STATCOM FACTS device. The optimal location of STATCOM FACTS device on the weak bus is obtained by Analytical Hierarchy Process (AHP) method. The main objective of this study is to reduce fuel cost of generation, reduce active and reactive power loss, improve voltage deviation and enhance voltage stability index within the given control variable constraints. The proposed TLBO algorithm with STATCOM device is evaluated on the standard IEEE-57 bus system. From the simulation result, it shows that the Teaching Learning-based algorithm gives the optimal solution as compared to the recent algorithm mentioned in the literature with some IEEE-57 bus test system.
Compact Hexagonal Ultra Wide Band Fractal Antenna for Wireless Body Area Networks
Authors:   Assistant Professor, Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, India., Dinesh* V. , Vijayalakshmi J. ,   Assistant Professor, Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, India., Vignesh B. ,   Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, India., Vignesh G. ,   Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, India., saravanan S. Selva ,   Department of Electronics and Communication Engineering, Kongu Engineering College, Erode, India
Published: February 2020

A Hexagonal Microstrip Ultra Wide Band Fractal Antenna for wireless body area network applications is proposed. The Hexagonal antenna is powered through co-planar waveguide (CPW) feed structure. The proposed antenna uses a hexagonal fractal structures to achieve its Ultra Wide Band characterization. The addition of fractal elements introduces multi-resonance at different frequencies and covers a large bandwidth of 3.8GHz–10.1GHz respectively. This antenna creates a Fractal geometry inside the patch with similar in shape but difference in sizes. Electromagnetic Band Gap structures are introduced in order to improve gain and directivity of the antenna. Electromagnetic Bandgap Structure (EBG) is mainly focused on overcoming the limitation of Microstrip Patch antenna parameters such as low gain, excitation of surface waves. Electromagnetic Band Gap structures are defined as artificial periodic structures that exhibit unique electromagnetic features, such as frequency band gap for surface waves and in-phase reflection coefficient for incident plane waves, which makes them desirable for low-profile antenna designs. The Electromagnetic Band Gap structure is placed behind the antenna to suppress the propagation of surface wave and to improve gain, directivity and to reduce the side lobes of the radiation pattern. The effect of surface currents in the ground plane reduces the antennas operating bandwidth which is reduced by introducing defective ground structure. The size of the antenna is 25×25×1.588 . The proposed antenna has an average gain of 3.8dB. The radiation pattern obtained is unidirectional.
Latency Minimization using Mesochronous Scheduling in MPSoC Operation
Authors:   Department of E.C.E, TKR College of Engineering and Technology, Ranga Reddy, Telangana, India., K* Sukanya. , Laxminarayana G. ,   Department of E.C.E, Anurag College of Engineering, Ranga Reddy, Telangana, India
Published: February 2020

High speed computing is the upcoming challenge for next generation applications. To cope with high speed operations, new processing architectures are evolving. Multi processor design is one optimal design approach for such need. In the design development of multi processor unit, Multi-Processor System-on-Chip (MPSoC) has an outcome in the domain of VLSI design. MPSoC are designed to process multiple instructions and data handling simultaneously. The parallel processing feature make this unit faster and optimal design for upcoming applications. However, MPSoC operations have a latency issue in clock allocation and resource utilization, which effects the processing efficiency and introduces delay and resource overhead in MPSoC interface. This paper outlines a Mesochronous operation in MPSoC design for minimizing latency in clock allocation and resource allocation, hence improving the speed of operation.
To Design and Develop the Real-Time Watermarking Scheme which could be used in IPTV Applications
Authors:   PG Student, Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad-43, Telangana, India., Madhuri* A. , Nandigama Vasudeva Reddy ,   Associate Professor, Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad-43, Telangana, India., Prasad Dr. S.V.S ,   Head of Department and Professor, Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad-43, Telangana, India
Published: February 2020

In view that the utilization digital strategies for sending and storing pix are establishing; it is far changing into an indispensable most vital assignment a method to protect the confidentiality, integrity and believability of pictures. This valuate paper extends to the power parameters used in cryptography strategies and learning on their take care of problems that had been developed and are in acknowledge in as lots as a result of the second instances.
Mechatronics System Design for Weed Management and Soil Condition Monitoring Within the Rows of Vineyards
Authors:   Department of Mechanical Engineering, MKSSS’s Cummins College of Engineering for Women, Karvenagar, Pune-52, MH, India., Kolhalkar* Nilesh R. , Krishnan Dr.V.L. ,   Department of Mechanical Engineering, V.R.Siddhartha Engineering College Kaneru, Vijayawada, A.P, India.
Published: February 2020

Weed management always has been a vigorous task for farmers. Grapevines and weeds compete for water, nutrients, sunlight and have an unfavorable impact on berry size and sugar contents, if uncontrolled. More than 95% of herbicides are reported to reach a destination other than the targeted crops, resulting in wastage and many undesirable effects on the humans, other living organisms and the environment. Mechatronic system on agriculture vehicle is proposed for weed management and soil condition monitoring within the rows of the vineyards. Heavy and dense vegetation is first removed mechanically using a rotating knife and then herbicides are sprayed on the identified weeds, which enable it to reach up to the roots of the weeds for complete removal using image processing techniques. The designed Mechatronics system correctly identifies the different weed species and sprays the right quantity of herbicides at the right place and at the right time using the principle of Precision Agriculture. The proposed system also monitors the different parameters of the soil using a variety of sensors.
Sustainable use of Industrial Wastes as Replacement for Fine and Coarse Aggregate in Production of Self Compacting Concrete – A State of the Art
Authors:   Research Scholar, Civil Engg Dept, JNTUA Anantapuramu, India., kumar* K Sundeep , Reddy Dr. P V Subba ,   Professor, Department of Civil Engg, N.B.K.R Institute of Science & Technology, SPSR Nellore, India, Arunakanthi Dr. E ,   Professor, Department of Civil Engg, Jawaharlal Nehru Technological University Anantapuramu, India., Venkateswarlu M ,   National Institute of Technology, Warangal, Telangana, India.
Published: February 2020

From recent global research developments, lot of natural and artificial materials are coming from industries those are normally discarded or used as landfills are investigated for potential construction applications. There are different industry waste materials like steel slag, copper slag, electric furnace slag etc., which are used in various types of concretes such as conventional, geo-polymer self-compacting concretes. Now a day’s utilization of Self- Compacting Concrete (SCC) is increasing speedily because of its attractive characteristics like effective fresh, mechanical and durability properties and its large applications in construction. In addition to this, SCC materials are associated with sustainability issues. Necessity of SCC expected to continuously increases with increasing developments around the world. Therefore required an ideal solution and sustain technology; such as utilization of alternative materials. The present study explains application of industrial waste materials to replace fine and coarse aggregates in self-compacting concrete production. Also, effective limitations in using some of the waste materials as sustainable alternatives for coarse and fine aggregates have been mentioned. From this review, it is evident that factors like carbon emissions, energy for production and cost production of SCC can be notably decreased by incorporating of waste materials in place of fine and coarse aggregates in Self-Compacting Concrete.
User Specific Semantic Search for Encrypted Data
Authors:   Assistant Professor, Department of Computer Science and Engineering, Anurag Group of Institutions, Hyderabad, India., Amarnadh* Vadipina , Goud Parisa Premchand ,   M.Tech Student, Department of Computer Science and Engineering, Anurag Group of Institutions, Hyderabad, India.
Published: February 2020

Cloud computing is the one of the service oriented applications which is used for the various users according to the requirements. Searching is the most widely used in many applications for the retrieving of the various data or documents according to the user keyword search. Accessing of cloud data which is encrypted is most widely used with the help of many encryption and decryption algorithms. In this paper, the user specific semantic search for the various encrypted data (USSSED) is introduced to overcome the issues in the previous systems. Results show the performance of the proposed system in terms of security and searching data.
Smart Cart Obsonium based on Secure System
Authors:   Assistant Professor, Department of Computer Science and Engineering, Pravara Rural Engineering College, Loni, Pune University,India., M.D.* Mr. Nirmal , Khemnar Vikas M. ,   BE computer(Student), PREC, Loni (MS ) India., Aher ApekshaM ,   BE computer (Student), PREC,Loni (MS ) India., Aher Anjali A ,   BE Computer (Student), PREC, Loni (MS ) India., Dighe Rutuja B ,   BE Computer (Student), PREC, Loni (MS ) India.
Published: February 2020

Nowadays IoT has its influence over every sector of life ,striving hard to improve quality of life. Obsonium is a never ending business and to improve the quality of obsonium we can take the help of technology. In today’s technology, many companies are developing products that ensure convenience toward all people who needs a good obsonium experience from today’s hectic obsonium which takes a lot of time for billing and getting out. Thus, we have developed a Smart Obsonium Cart, that allows faster check-out. First the product will have a RFID card which will filled first by shop Admin with other de- tails of the product. Then cart uses the RFID reader technology to identify the products details which is already available in the database. The total cost will be displayed on the mobile attached to the cart as and when the product is added to the cart. The user can view the details of the product on his mobile. IoT helps to design such a cart which will automatically scan the product and add the respective amount to be paid in the bill on our own smart phone itself. Technologies used in this system are RFID tags and RFID reader for fetching the price of each unique item. Arduino microcontroller to perform the sum of the prices of the products and to prepare the final bill. Mobile application for the final display of bill and the complete obsonium list. Security is provided by the weight scanner and validating the products bought to avoid tag tampering. All the item’s information is stored in the cloud at first. Checkout verification is also done by passing the cart after payment through a lane with RFID readers.
Ransomware Threat, Attack, Prevention and Cure on Window Platform
Authors:   Department of Computer Science & Technology (Cyber Security), Central University of Punjab, Bathinda, India., Sharma* Shubham , Singh Satwinder ,   Department of Computer Science & Technology (Cyber Security), Central University of Punjab, Bathinda, India.
Published: February 2020

With the advancement of digitization in every domain, the dependency of individuals on these digitized softwares has also increased. Although these softwares can perform storage, transfer, and security of digital media easily, the threat of hardware/software failure, data tapping and breaching data has always been there. Most of these threats have been introduced by the development of malicious softwares that can provide unauthorized access of machine’s data. This malicious software was termed as malware. The development of any antimalware software to prevent the machine from malware triggers the attacker to generate new malicious operations to infect the machine. Ransomware is, however, a novel and one of the dangerous malware invented recently that restricts the user from accessing their system by locking the operating system files using strong encryption algorithms in the system unless and until a ransom is paid. Seeing the emergence of this ransomware threat and also the increasing usage of digital media, many techniques have been developed to detect the presence of different types of ransomware in different environments. Since the importance of developing techniques to prevent our machines from such attacks is increasing substantially, further research in the respective domain require thorough analysis of all the techniques that have been developed in this regard. This paper introduces the concept of ransomware and how it has been evolved. Along with various methods of handling the ransomware, thorough analysis of techniques that have been developed until now for the prevention and detection of different ransomwares is also performed. The analysis shows that there has been a big improvement in coding techniques utilized by ransomware which will eventually turn out a good detection system that considerably reduces the quantity of victim information loss.
Significance of Knowledge Reuse in the Three Dimensional Academic Environments
Authors:   Department of Computer Science & Engineering, Glocal University Mirzapur Pole Saharanpur, India., Khan* Mohammad Shuaib , Harsh O. K. ,   Department of Computer Science & Engineering, Glocal University Mirzapur Pole Saharanpur, India.
Published: February 2020

In the present research an effort is being made to understand the significance of knowledge reuse in an academic environment. For this we will require appreciating the role of knowledge reuse, sharing and its management. Quality of reusable tacit and explicit knowledge has also been discussed. Various issues of knowledge quality and reusability in contemporary age have been analyzed. For comprehend the above undertakings in greater details we apply the three dimensional model of knowledge reuse and management by Harsh based on Nonaka and Takeuchi model and present the discussion on the various issues of knowledge reusability and its applications in an academic environment. Suggestions to improve the reusable tacit and explicit knowledge for a country like India are being also detailed. In the present investigation the importance of reusable tacit and explicit knowledge in diverse learning situation which is extensively valuable for the country like India is being explored. In academic environment it is very much essential to analyze the flow of the knowledge. Reusability concept not only providing a way to achieve the desired objective but also encapsulating the tacit as well as explicit knowledge. Combination of the knowledge is quite interesting field in academic environment. This study helps in optimization of educational resources by simple a technique of reuse. Present discussion also point out the enhancement of quality of tacit and explicit reusable knowledge as a result of its refinement in a three dimensional knowledge environment. Application of Information and communication technology can further exploit not only the effortless confined reusable knowledge while it also opens the enormous opportunity for trouble-free applications of reusable knowledge.
Caloric Delineation of Gasoline Blends using Dsc
Authors:   Graduate Apprentice (Mechanical) Satish Dhawan Space Centre, Sriharikota, Andhra Pradesh, India., Bharath* Evvala Satya , Subramanyam Kothagundu ,   Department of Mechanical Engineering Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India.
Published: February 2020

Petroleum by-products are now contemporary utilization rate it will be consuming in upcoming periods. Ethanol usage is one of the transport sectors can fulfill the requirement and contribute to mitigating the greenhouse gas emissions of the vehicles. In order to expand the SI engine which can function on 100% ethanol or append ethanol in petrol and operate the blends of that. The intention of this project is going to prepare the thermal and rheological behavior of pure petrol, E5 and E10, E15 ethanol-gasoline blend. All thermograms of heat flow exhibited at a 35ºC-280ºC temperature range at air atmosphere. This contemplation concludes that ethanol blending is the lowest exhaust gasses with considerable improvement in the performance of the Spark Ignition (SI) engine and promising, Ethanol as a new fuel which can be fortunately replace petrol and its depletion problem
Pathogen Detection in Khasi Mandarin Orange using Serological and Electronic Nose Diagnostic Technique
Authors:   Dept. of Instrumentation & USIC, Gauhati University, Guwahati-781014, Assam, India., Hazarika* Sudipta , Choudhury Rajdeep ,   Dept. of Instrumentation & USIC, Gauhati University, Guwahati-781014, Assam, India., Saikia Sarat ,   Horticultural research station, Assam Agricultural University, Guwahati 781017, Assam, India., Sarma Utpal ,   Dept. of Instrumentation & USIC, Gauhati University, Guwahati-781014, Assam, India.
Published: February 2020

The inherent ability of most living organisms to perceive their immediate environment based on sensory responses has immensely contributed to their survival in the harshest of conditions. Animals rely on their olfactory sense to assess the quality of food before intake. This paper addresses a technique of using the electronic nose for distinguishing Khasi Mandarin orange plants infected by a virus called Citrus Tristeza Virus (CTV) in terms of their degree of infection. Leaves from 16 plants were collected and, tested for CTV infection using the standard serological test, Enzyme-linked Immunosorbent Assay (ELISA), prior to electronic nose (e-nose) analysis. Essential oil was extracted from the leaves using hydro distillation and the extracted oils were analyzed with commercial e-nose system Alpha MOSFOX 3000 system. Bootstrapped ensemble of support vector classifier was used for classifying the samples. The classifier model was optimized with the best parameters and a kernel specific performance evaluation was done for finding out the best model for classification. Among the linear, radial basis function and polynomial kernels, the linear kernel of the classifier performed the best among all the kernels with an accuracy of 97.67% and a Cohen’s Kappa score of 95.25%. Dimensionality reduction techniques like principle component analysis and linear discriminant analysis were also used for graphical visualization of the classification boundaries. The dimensionally reduced dataset was also fitted to the optimized bootstrap ensemble support vector classifier and the performance of the classifier was analyzed. The performance scores of the classifier models reveal the possibility of using e-nose technique in detecting CTV infected plants.
Optimization in Secure Routing and Power Efficient Communication in Wireless Adhoc Network
Authors:   Department of C.S.E, Guru Nanak Institutions Technical Campus Ranga Reddy, Telangana, India., Addagatla* Ugendhar , Janaki Dr. V. ,   Department of C.S.E, Vaagdevi Engineering College Warangal, Telangana, India
Published: February 2020

Security and data propagation are the two major concerns in wireless adHoc network. The optimal routing with power conservation and traffic monitoring defines the operational efficiency of the adHoc network. Wherein energy conservation and routing security are used as a measuring parameter in controlling the traffic flow, no two parameters are defined in together to optimize the route selectivity in the network. The monitoring of routing parameter in providing secure route is governed by the characteristic optimization of forwarding link and the approach of link selection. In this paper, an approach for optimal link selection for secure routing using multi attribute monitoring and controlling of traffic flow is presented. The proposed work defines a fairness factor based on multiple monitoring attribute to control the operational efficiency of the network. The multi attribute monitoring offers a more reliable and secure path in adHoc network in traffic flow modeling. The validations of the proposed approach were developed following the energy conservation and security provisioning in adHoc network.
Training a Deep Learning Network with an Insignificantly Small Dataset
Authors:   Research Scholar, Department of CSE, Periyar Maniammai Institute of Science & Technology, Vallam, Thanjavur-613 403, India., Kavitha* T. , Lakshmi K. ,   Professor, Department of CSE, Periyar Maniammai Institute of Science & Technology, Vallam, Thanjavur-613 403, India.
Published: February 2020

In the last few years, Deep Learning is one of the top research areas in academia as well as in industry. Every industry is now looking for a deep learning-based solution to the problems in hand. As a researcher, learning “Deep Learning” through practical experiments will be a very challenging task. Particularly, training a deep learning network with huge amount of training data will make it impractical to do this on a normal desktop computer or laptop. Even a small-scale application in computer vision using deep learning techniques will require several days of training the deep network model on a very higher end Graphical Processing Unit (GPU) clusters or Tensor Processing Unit (TPU) clusters that makes impractical to do that research on a conventional laptop. In this work, we address the possibilities of training a deep learning network with an insignificantly small dataset. Here we mean “significantly small dataset’ as a dataset with only few images (<10) per class. Since we are going to design a prototype drone detection system which is a single class classification problem, we hereby try to train the deep learning network only with few drone images (2 images only). Our research question is: will it be possible to train a YOLO deep learning network model only with two images and achieve a descent detection accurate on a constrained test dataset of drones? This paper addresses that issue and our results prove that it is possible to train a deep learning network only with two images and achieve good performance under constrained application environments.
Data Logger using PIC Micro Controller
Authors:   PG Student, Department of Electronics and Communication Engineering MLR Institute of Technology, Hyderabad-43, Telangana, India., Pranetha* Talluri , Arun V. ,   Associate Professor, Department of Electronics and Communication Engineering MLR Institute of Technology, Hyderabad-43, Telangana, India., Prasad Dr. SVS ,   HOD, Department of Electronics and Communication Engineering MLR Institute of Technology, Hyderabad-43, Telangana, India.
Published: February 2020

When transporting the goods from one place to another place the components should work perfectly according to our application. This project shows you how to get temperature and humidity values for particular components which are kept in a certain room or area or during the shifting process along with the real time clock. Sometimes due to room temperatures also we can observe a change in the component readings. So in that cases, data logger systems will be helpful. Here we are measuring various weather parameters like temperature, humidity, time and date. For this we require sensors for getting temperature and humidity values and a real time clock is used to get real time. We can retain previous values also by using previous records. Finally, we can display these parameters on the LCD display and save the records so that we can access the previous records. For this storage we can use controller memory or else externally we can connect the memory called SD-card.
A Measurement of Construct Validity and Reliability of Servant Leadership
Authors:   Master of Psychology, Ahmad Dahlan University, Yogyakarta, Indonesia., Arifah  , Tentama* Fatwa ,   Master of Psychology, Ahmad Dahlan University, Yogyakarta, Indonesia., Muhopilah Pipih ,   Master of Psychology, Ahmad Dahlan University, Yogyakarta, Indonesia
Published: February 2020

The purpose of this study is to test the construct validity and reliability on the scale of servant leadership and aspects and indicators that can form this variable. Servant leadership is measured by five aspects, namely humility, love, vision, empowerment and trust. The population in this study are all Early Childhood Education teachers in Jetis District, Bantul Regency, with a sample of 60 people. The sampling technique used in this study is cluster random sampling. The data collection method is servant leadership scale. Research data are analyzed using Structural Equation Modeling (SEM) through the SmartPLS 3.2.8 program. Based on the results of data analysis, the aspects and indicators that made up the servant leadership variable were declared valid and reliable. The most dominant aspect that reflects servant leadership was trust with a loading factor value of 0.779 and the weakest aspect that reflects this variable was humility with a loading factor value of 0.568. It shows that all aspects and indicators are able to reflect and shape servant leadership variable. Thus, the measurement model can be accepted because the theory presented by the servant leadership variable is in accordance with the empirical data obtained from the subject.
The Effect of M-Banking Service Quality and Customer Perceived Value to Satisfaction and Loyalty of Bank XYZ Customers
Authors:   Magister of Management Business Management, Binus University, Jakarta, Indonesia., Tumewah Elvriawati , Juniarta  ,   Magister of Management Business Management, Binus University, Jakarta, Indonesia., Kurniawan Yonathan ,   Magister of Management Business Management, Binus University, Jakarta, Indonesia.
Published: February 2020

Many banks in Indonesia have been conducting surveys to customers related to services at branch offices (Branch Service Quality) and Customer Engagement with results that continue to growevery year. With the advancement of digital technology, counter services have begun to shift to digital channels, especially mobile banking. Existing research related to the use of mobile banking uses e-servquality more often, which is generally used in research to see the excellence of services in internet banking, online shops, and digital marketplaces. Therefore, we consider it is necessary to carry on a research about the effect of mobile banking service quality on customer satisfaction and loyalty, the effect of customer perceived value on customer satisfaction and loyalty, and the effect of customer satisfaction with customer loyalty. The research was conducted by setting a sample of Bank XYZ customers who use Bank XYZ mobile banking, the total is 505 respondents. Structural equation modeling was used to carry outconfirmatory factor analysis and path analysis. From the results, it can be seen that mobile banking service quality and customer perceived value have a significant effect on customer satisfaction, but no significant effect on customer loyalty. Meanwhile, customer satisfaction has a significant effect on customer loyalty.
Issue and Challenges of Adopting Contraception Methods by Men and Women in Rural Uttar Pradesh
Authors:   Noida International University, Greater Noida, India., Kumari* Vimlesh , Khetwal Chitra ,   Noida International University, Greater Noida, India.
Published: February 2020

India stand second in the world in terms of population containing 17.50% of the world’s population. 70% population of India lives in village in which 64 % population’s occupational structure is primary. Due to this, so many problems are creating and increasing daily like unemployment, health related problem, starvation and poverty etc. To solve or rid from these problems, Government of India committed itself or started to bring about the sustainable development in rural India through various programs. The aim of these programs has to cover all the facts of rural life for improving the life of three- fourth of Indian who lives in the villages. But family planning and adopting contraception methods are so easier than others, and population or other population related problems can be control easily. In this paper we describe many issue and challenges spread in the society. There are main social, political and economic etc. Issues and challenges to adopting the contraception method among the people.