bluuebunny/crossref_metadata_2025 huggingface dataset:
Modeling and real time simulation of micrograms using RT-lab platform: application in south algerian
Authors: Ghomri Leila , Khiat Sidahmed , Khiat Mounir , Chaker Abdelkader , Belaidi Abdelkader
Published: April 2019

Microgrids are, as their name implies, real-time networks operating between producers, distributors and consumers. Aim of this work is to model and simulate operation of microgrids, including micro power plants, photovoltaic panels, wind farms, diesel power and storage energy, and finally we will apply the model in real time simulation thanks to MEGASIM of the RT-LAB platform Application of this work will be in southern Algeria area, where climate is hot, sunny and arid, and daytime temperatures are very high. It means that both of wind and photovoltaic energies are widely suitable in this location. Results obtained by this tool will allow us to have a very accurate vision of Micro grid operation, in term of power flow or fault responses.
Improvement of large power system with facts devices placement to maxim-IZE the system load ability
Authors: L. Bekri O , Mekri F
Published: April 2019

Voltage instabilities and/or collapses have been recognized as one of the major causes of power system blackouts. The main objective of this paper is to provide some solutions to prevent large power systems from voltage collapse. The FACTS (Flexible AC Transmission Sys-tems) devices placement gives new opportunities for enhancing voltage stability. The calculation of the loadability point is based on the con-tinuation power flow technique (CPF) to choosing the optimal placement of STATCOM (Static Synchronous Compensator) in order to improve voltage stability by increasing the loading parameter, maintaining bus voltages at desired level and minimizing losses in a power system network.A 39-bus New England power system is chosen as test case in order to illustrate this approach. The obtained results show the efficiency of the proposed method for the planning of the Static Synchronous Compensator optimal placement and the voltage stability enhancement.
The Advanced Effectveness And Efficiency of New Testing Analysis
Authors: S.Srinivasa rao Dr , Moulika G , G Lalitkumar , Naga Yeshwanth D
Published: April 2019

Testing is the most widely used by the many software companies to develop the product or the project with most reliable. Testing will calculate the efficiency and effectiveness of the product to improve the performance of the project and work with proper way. Based on the testing results the product can be developed more effectively without showing any complications when the product is released. In this paper, the new integrated testing is developed to calculate the testing effectiveness and testing efficiency of the product at the time of releasing and at the time of development of the project. The existing system of this testing shows the early testing which is at the time of the development and the proposed system of the testing shows the late testing of the project i,e after the completion of the project. From the proposed system the cost, penalty, and benefit of a software during its development phase for finding the expected faults and predicted faults to release the product.
Analysis on Software Project Planning and Control Using Case Tools
Authors: Naga Malleswari D , Sai Sowmya T , Mukhul K , Venkatesh Reddy D
Published: April 2019

In software ventures, we go through the progression of issues in arranging and dominant procedure. To avoid all these Strategic Management Process (SMP) is used to recognize and measure risks. The programming joint checking arranging and undertaking for all sided quality that uses circulation capacities in aggregate manner for delivering message alarm which will be very normal for hazard factor. First step to away form the risks of are arranging and controlling, which helps the product designs by overseeing the nature of programming venture as well as to create chance free programming items, subsequent to distinguishing the hazard. Each module can be checked in Programming venture to detecting quality in many-sided quality at major level. Assessing the hazard by positioning the product and observing the imperative exercises of programming venture director is one answer for take care of the issues. CASE apparatuses (Computer-Aided Software Engineering) are an arrangement of use devices and programming framework techniques with the coveted final product of superb, deformity free, and viable programming items. CASE instrument likewise allude to improvement of data frameworks techniques together with computerized apparatuses which is utilized as a part of the product venture advancement process. In CASE instruments, PC based help is utilized by engineers keeping in mind the end goal to create and keep up the product ventures. CASE apparatuses likewise empower programming designers to turn out from the genuine complexities of code when taking a gander at the complex endeavors. This paper presents programming wanders organizing and control threats. With offer assistance of CASE devices the threats are recognized, orchestrated and controlled in the item wanders. This paper furthermore improves the capability and lessens the danger in the framework.
A Survey on Prevention of Overfitting in Convolution Neural Networks Using Machine Learning Techniques
Authors: M.R.Narasinga Rao Dr , Venkatesh Prasad V , Sai Teja P , Zindavali Md , Phanindra Reddy O
Published: April 2019

Deep neural nets with a vast quantity of parameters are very effective machine getting to know structures. However, overfitting is an extreme problem in such networks. Massive networks are also sluggish to use, making it difficult to cope with overfitting by combining the predictions of many distinct large neural nets at test time. Dropout is a method for addressing this problem. The important thing concept is to randomly drop units (at the side of their connections) from the neural network for the duration of education. This prevents units from co-adapting an excessive amount of. during schooling, dropout samples from an exponential quantity of various "thinned" networks. At take a look at the time, it is simple to precise the impact of averaging the predictions of plenty of these thinned networks through in reality using a single unthinned network that has smaller weights. This considerably minimize overfitting and provides fundamental enhancements over other regularization techniques. We show that dropout enhance the overall performance of neural networks on manage gaining knowledge of obligations in imaginative and prescient, speech reputation, document type and computational biology, acquiring today's effects on many benchmark facts sets.
Applying Distribution Functions to GWO Algorithm
Authors: G. Krishna Mohan Dr , N. Sai Prasanna Ms , K. Siva Sai Krishna Mr , I. Vamsi Krishna Mr
Published: April 2019

GWO is an Optimization algorithm. It depends on the different distribution functions. The features of Optimization algorithm are as follows Convergence, precision, and performance. These Characters will generalize this optimization algorithm. In this paper, we explored GWO algorithm for different distributing functions. There are many distribution functions that are kept practical to the GWO algorithm. We evaluated three different distribution functions which are the Gold Stein function, Beale function and the Booth function. To show the effectiveness of the GWO algorithm we have used the above three distribution functions.
Data Management in IOT Applications
Authors: Sanakkayala SatyaNarayana Dr , V. Sai Bharath G , Sri Lakshmi Sahithi Katakam , Sai Rutwik Adusumilli
Published: April 2019

With the technology leaping towards a new phase the next big that is happening is IOT and managing the huge amount of data that is being produced. To apprehend the real Internet of Things in which the entirely is interconnected, direct interactions between sensors and actuators, also known as bindings, are essential. As more and more devices are getting connected to the internet there is a lot of data that is being generated. We need to maintain the quality of data and it should be manageable for future use. Consequently, in evaluation to subsisting studies on smart cities we give a information driven edge depicting the central information administration methodologies employed to check consistency, interoperability, granularity and re-convenience of the information created by strategies for the fundamental Internet of Things( IoT) for smart cities. We try to find the proper communication between the devices and finally try to implement the details for a system. In this paper we are trying to do survey on how the large amount of data is being stored and various strategies for handling the data by using some architectures for the smart traffic system. We are trying to use the SWIFT architecture for analyzing the traffic in smart cities.
PQ improvement of Micro-Grid by Using DG and Power Quality Conditioner with BESS
Authors: Sekhar Mishra Chandra , Kumar Jena Ranjan , Ranjan Nayak Soumya
Published: April 2019

DG Grid interfaced system has been focused through this paper. The objective is to improve power quality of the grid, which was polluted by various means. The improvement of power quality of the micro grid includes uses of a specially designed DG, BESS and Power Quality conditioner. The system consists of a two-stage power conversion. Solar PV supplies power for both DC and AC loads. Manufacturer datasheet is used for modeling the PV panel. In order to keep the BUS voltage stable a BESS is joined to DC BUS through power electronic converter, which is used to absorb the excess power whenever production is high and deliver power to the load on low production. The system continues to supply the local loads, incase of grid discontinuity. Thus it eliminates threats of islanding. This paper also focuses on control and stability of DC bus voltage and energy management scheme. The project uses Matlab/Simulink platform for efficient verification. For power quality improvement of Micro Grid it uses 3leg inverter, which is coupled with SPV and MPPT with Battery storage, which is used as compensator for the whole system. For prevention to reduce voltage current and power flow between DG and Grid, it is necessary to have an optimum control. Through the adjustment of power circulation between shunt paired DG ensures current voltage and power on micro grid. +ve, -ve and Zero sequence components of currents and voltage can be adjusted   by the suggested methodology in Grid tied DG system. The said PQC have multiple uses. Firstly as a power converter and secondly as a shunt APF for harmonic compensation on voltage, current and power (both active and reactive) for both balanced and unbalanced loads in the Grid tied DG system. It also cares for the neutral conductor. Either individually or in grid connected mode all the above objectives can be achieved. For the entire Grid, it is realized that after compensation three phase four wired un-balance loads looks as balanced linear resistive load for the Grid. All these task significantly replicated on MATLAB/Simulink. After compensation the total harmonic distortion on input voltage and current reduced drastically. IEEE519 in the range of 5% suitably accepts it.
An Advanced Sentiment Embeddings with Applications to Sentiment Based Result Analysis
Authors: Srinidhi K , L.S Tejaswi T , Rama Rupesh Kumar CH , Sai Siva Charan I
Published: April 2019

We propose an advanced well-trained sentiment analysis based adoptive analysis “word specific embedding’s, dubbed sentiment embedding’s”. Using available word and phrase embedded learning and trained algorithms mainly make use of contexts of terms but ignore the sentiment of texts and analyzing the process of word and text classifications. sentimental analysis on unlike words conveying same meaning matched to corresponding word vector. This problem is bridged by combining encoding opinion carrying text with sentiment embeddings words. But performing sentimental analysis on e-commerce, social networking sites we developed neural network based algorithms along with tailoring and loss function which carry feelings. This research apply embedding’s to word-level, sentence-level sentimental analysis and classification, constructing sentiment oriented lexicons. Experimental analysis and results addresses that sentiment embedding techniques outperform the context-based embedding’s on many distributed data sets. This work provides familiarity about neural networks techniques for learning word embedding’s in other NLP tasks.
Improving Efficiency of Nearest Neighbor Search by Utilizing Spatial Inverted Index
Authors: Vijay Kumar V , V.L. Gayathri S , Roshini K , Rohith E
Published: April 2019

Spatial queries with regular strategies like range request or closest neighbor Search include just the utilization of geometric properties of the items. An up-to-date answer for looking troublesome inquiries utilizes IR-tree technique and we have examined it in the paper. We propose another strategy with a goal of finding the closest neighbor of the inquiry while decreasing the delay time caused in looking what's more, enchasing the of the aftereffect of a question. Many web indexes are utilized to appear everything from everywhere; this framework is utilized to quick closest neighbor seek to utilize a watchword. Previous works, generally, emphasis on searching top-k Near Neighbors, each center point needs to facilitate the total addressing the Key words. The thickness over information protests over the space is not reflected. In the same manner, these methods are little proficient for an incremental query. Information Retrieval R Tree having a few disadvantages. The output of Information Retrieval R Tree gravely was pretentious due to rare disadvantages. Overcome with problem must to be observed. The resultant record is the technique of getting response over this issue.
Analytic Method for Estimating the User Behavior Patterns in Multimedia Social Networks
Authors: Kowshik Kesavarapu , V S S Sandeep M , Gottipati Mounika Sai , Adhikari Animesh
Published: April 2019

Now a days the multimedia social networks plays major role in our daily life. All the earlier MSNs are validated and developed very well. The past decade has witnessed the emergence and progress of multimedia social networks (MSNs), which have explosively and tremendously increased to penetrate every corner of our lives, leisure and work. As well as, the users are enabled by Mobile internet & terminals for accessing the MSNs where ever they are and when they want with the help of any identity. It may be a group or a role. So, it become very complicated & comprehensive to provide the behavior’s interaction between MSNs as well as in users. The implemented system having the advancements and developed framework of the analytics in a particular domain; which is called as SocialSitu, And We implemented an algorithm which is named as novel for the analysis of the serialized users intention according to the typical GSP which is the short form of Generalized Sequential Pattern. An enormous number of user’s behavior records were broken for exploring the usual sequence mode. It is mandatory for guessing the intention of the user. We considered the two types of intentions. Those are playing multimedia & sharing multimedia. These 2 are widely used in regular MSNs with the help of intention serialization algorithm in control of various min support threshold (Min_Support). With the help of microscopic behavior analysis of the users, we find out the each user behavior patterns which are in optimized manner in control of the Min_Support. Based on the different identities of the user, the behavior patterns of the users may be varied in session data which is very large.
Parametric study on heat transfer characteristics of waste heat recovery heat exchanger for automotive exhaust thermoelectric generator
Authors: Hyun Kim Ki. , Suresh Patil Mahesh , Hyeong Seo Jae , Jung Kim Chan , Soo Lee Gee , Yeon Lee Moo
Published: April 2019

Background/Objectives: The parametric study on heat transfer characteristics of waste heat recovery heat exchanger was carried out by varying different geometry parameters to suggest optimum model for automotive exhaust thermoelectric generator.Methods/Statistical analysis: The numerical analysis method was applied to compare the heat transfer characteristics of various heat exchanger models. For numerical analysis, various models were created using computer aided drawing considering different fin arrangements and guide plates. Commercial code ANSYS 17.0 was used to analyze the heat transfer and fluid flow behavior of various models. Mesh independency was conducted to enhance the accuracy of the results.Findings: The thermal performance analysis of waste heat recovery heat exchanger was conducted considering pressure drop and heat flux at cooling side. As the fin spaces were increased, the heat flux at cooling side increased, but pressure drop also increased.Improvements/Applications: The developed geometry can be further optimized considering other geometry parameters and efficient system could be developed for power generation using waste heat with heat recovery exchanger and the present study provides detailed numerical analysis considering pressure drop and heat flux.
The framework of user information protection via secure SSO and PKI
Authors: Oh Kim Jeong , Woo Park Min , Seung Jo Woo , Seok Choi Ki
Published: April 2019

Background/Objectives: There has been a necessity of a new system to protect and share user information with cooperative research institutes and manage subjects for managing and providing national R&D information.Methods/Statistical analysis: The National Science & Technology Information Service (NTIS) used the SSO API to share user information with cooperative research institutes safely. The API included minimum information only to prevent personal information such as user ID and authorization code from being leaked and observed related laws. For the authorization and management of user information targeted to open R&D information, moreover, 2-stage authentication has been established, using the certificate authentication system.Findings: Since information is collected and provided in diverse manners by multiple institutes, user information has been scattered, and there has been a risk of the leak of personal information. With the centralized collection and management of user information, however, the protection of personal information and observance of laws have become more convenient. Furthermore, the information is provided to the authorized managers only through the construction of a security system and utilization of access control system, and security has been secured. To make users utilize information properly at access to raw data, authorization procedures were strengthened, keeping national R&D information and users more reliable.Improvements/Applications: Through this framework, secure information-sharing & management systems were applied, improving the safety of information management.
Attacker standard for secure routing protocols
Authors: Divya Ms , R. Gobinath Dr
Published: April 2019

The secured routing protocol expresses an underlying elementary unit confide in information interchanging system. Miserably, presently no anatomy remains to supports in the layout and inquiry of secured routing protocols. This work investigates the structured approaches of secured routing and the interrelating attacker standards to contribute a structure for modeling prime protocols. Based on this anatomy, it is detected that the powerful attacks are targeting the data in the control plane. In this paper the strength of attackers are classified with respect to the locations under its direct control.
Analysis on Al6061-NI-graphite composite using squeeze casting method
Authors: Arunkumar S , Chandrasekaran M , Vinod Kumar T , . .
Published: April 2019

In recent years, aluminum based composites have gained popularity in all the popularity in all emerging fields of technology owing to their superior stiffness and strength. This is because of the less wetting nature between the fortification and the framework and the difficulty of higher level of support expansion in to the grid. Notwithstanding, metal covered fortifications have possessed the capacity to beat these confinements to an exceptionally degree. NCG particles strengthened Al6061 network with different weight rates were manufactured by crush throwing strategy. The main advantages of composite materials are their high strength and stiffness, combined with low density, when compared with bulk materials, sanctioning for a weight reduction in the culminated part.Aluminium based composite materials are leading ones in this area; they are fabricated using many methods, including squeeze casting pro-cesses. Squeeze casting makes materials properties relatively easy to control by mixing materials with different properties in various propor-tion. Samples of [5] and 10-wtpercentage reinforcement additament were synthesized and characterized. Heat transfer coefficients during squeeze cast of commercial aluminium were determined, by using the solidification temperature versus time curves obtain for varying applied pressure during squeeze casting process.
3D interactive visualization using image color distribution
Authors: Lee Chaelin , Seo Sanghyun
Published: April 2019

Background/Objectives: Technologies related to image processing such as transforming the atmosphere of images or adding effects to images have been making rapid progress owing to the recent advancement of media.Methods/Statistical analysis: We need to devise methods to easily identify color composition and distribution in 3D space. This study introduces a method of visualizing the color distribution in 3D using standard color models so that the distribution pattern of color information in images can be easily understood.Findings: The distribution of colors that make up these images provides people with various stimuli and cognitive information. In order to convert images according to the user's intention in image manipulation research, the process of analyzing the images is very important, yet it is also significant to confirm that they have been converted as intended.Improvements/Applications: Our proposed method enables the user to intuitively understand and recognize color information of image.
A novel simulation of bellman-dymo protocol in vanet’s ad-hoc network
Authors: Pavithra L , Sivakumar V , Anuja S
Published: April 2019

Vehicular Ad-hoc Networks (VANET’s) is the recent technology to facilitate the study of simulators. The mobility model and physical layer are the issues in the simulator which impact the output greatly. The simulations of the routing algorithm in the VANET’s are still the major problem. The comparison between the routing protocols is addressed by only some few works. In order to overcome these issues and problems we made a comparison between the hybrids, reactive, geographic routing and pro-active routing protocols by using a simulation platform by integrating the mobility and the physical layer models. It also performs a comparison between the multi-path routing protocols with Ad-hoc network which allows adapting the faster performance. By using the BDYMO protocol in the VANET communication, the overhead in the network is minimized and the performance is improved.
Delay metric in wireless body area sensor net-works
Authors: E. Ramya Mrs. , R. Gobinath Dr
Published: April 2019

Wireless Sensor Networks have the potential to greatly impact many aspects of medical care. This paper focuses on fundamental idea about the Protocols, standards, Technologies and measurements taken by the Researchers in the area of Wireless Body Area Sensor. This paper also listed various constraints in Wireless Body Area Sensor Networks and noticed the best suitable techniques for analyzing the Sensor Data. The quality of service is the most fundamental characteristics of any applications like Wireless Network, Wireless Sensor Network and Wireless Body Area Network. The performance factor in WBAN still remains trivial whereas performance issues are also a great concern. This paper given the effort to analyze and present some of the protocols and technologies developed toward performance issues in WBAN.
Motives for information gathering, learning and online technology engagements of small and medium tourism enterprises in kerala
Authors: Tintumol P. Joseph Ms , ArunPrem Mr , Merlin Thanga Joy Dr
Published: April 2019

Considerable differences are acknowledged with regard to the nature of information, use of information and source of information between commercially oriented and non-commercially oriented SMTEs. While commercially, groups are more active in to the formal tourism forums and engage more with online source of information, non-commercially group are satisfied with the current learning environment and they are keener in making satisfied customers. However, both group seeks less information related to legal rather they concentrate more on fetching information related to marketing, sales, finance, and management. The present study is an attempt to gain insights upon the motives that drive small and medium tourism enterprises, understand the desired information and learning process needed to develop business, and to know the online Technology engagements in the development of business.
Analysis of sentiment in twitter using logistic regression
Authors: Lakshmi Rayasam , R. B. Divya Satya , Valarmathi R
Published: April 2019

Social Platforms such as Twitter, Facebook are not always the good places and when explored there exists a dark side to it. The main objective of this research is to identify the sentiment of a tweet in twitter and also further analyse a twitter accounts activity. Logistic regression and text blob are used to identify the sentiment of the tweets, as for the taken datasets they provided the highest accuracy when compared with other algorithms such as GaussianNB, BernoulliNB, SVM. The datasets are extracted from twitter and split into training and testing data using which the model is trained to classify the sentiments of a tweet and then the analysis of a twitter account is done.
Improvement of the performance of wearable textile antenna
Authors: Loni1 Janabeg , K. Singh V , Kumar Tripathi Anand , Soo Chae Gyoo , Sharma Ashis , Kumar Bhoi Akash
Published: April 2019

In this article low cost wearable textile receiver antenna with copper ground is proposed. The anticipated antenna has the ability to receive the frequency between 2.185 GHz to 6.625 GHz. The antenna parameters have been improved through the optimization technique. A com-parison is studied and described among some existing and anticipated antenna. The proposed wearable receiver antenna is applicable to re-ceive radio wave energy available in the range 2.185 GHz to 6.625 GHz.
An inventive arrangement for accident prevention detection and caution using image mining
Authors: Raj. S Stephen , P Sripriya.
Published: April 2019

Driver aware is more main cause for the majority accidents connected to motor vehicle crashes. Lethargic, tried, heavy-eyed driver identification methods can form the base of a classification to potentially decrease accidents linked to driver tiredness. It obtain visual cue such as eyelid progress, look movement, skull movement, and facial look that naturally distinguish the intensity of awareness of a human being are extract in actual time and analytically united to assume the exhaustion intensity of the driver. A probabilistic model is used for predict human being in-alertness based on the image cues obtained. The real-time use of several image cues and their regular arrangement yields a much more healthy and exact exhaustion and distress characterization than by a single image cue. Percent eye conclusion is also unwavering. It is deemed to be logically robust, dependable and faithful in exhaustion and fright categorization, finding and caution.
Machine Learning Approaches for Credit Card Fraud Detection
Authors: Venkata Suryanarayana S , N. Balaji G , Venkateswara Rao G
Published: April 2019

With the extensive use of credit cards, fraud appears as a major issue in the credit card business. It is hard to have some figures on the impact of fraud, since companies and banks do not like to disclose the amount of losses due to frauds. At the same time, public data are scarcely available for confidentiality issues, leaving unanswered many questions about what is the best strategy. Another problem in credit-card fraud loss estimation is that we can measure the loss of only those frauds that have been detected, and it is not possible to assess the size of unreported/undetected frauds. Fraud patterns are changing rapidly where fraud detection needs to be re-evaluated from a reactive to a proactive approach. In recent years, machine learning has gained lot of popularity in image analysis, natural language processing and speech recognition. In this regard, implementation of efficient fraud detection algorithms using machine-learning techniques is key for reducing these losses, and to assist fraud investigators. In this paper logistic regression, based machine learning approach is utilized to detect credit card fraud. The results show logistic regression based approaches outperforms with the highest accuracy and it can be effectively used for fraud investigators.
Analysis and visualization of airport network to strengthen the economy
Authors: P Saleena. , Swetha P. K. , Radha D.
Published: April 2019

The world’s eminent airports are directly or indirectly connected to many other airports. Every airport is considered as a node and the route can be considered as edge connecting them. The work analyzes the USA airport network using different centrality measures of social network analysis. The centrality measures calculated on airport network help in identiﬁcation of certain characteristics of the airports. Some of the characteristics are like the busiest airport and the airports which inﬂuence trade, alternate path, fastest route, nearest airports, etc. The characteristics helps to find the designated airports meant for improving the economy. The results of this paper say about the prominent communication and connections among the airports in the U.S.A. The tools used for the analysis are UCINET 6 and NetDraw.
Fuzzy logic-based improved ventilation system for the pharmaceutical industry
Authors: Rahman Sam Matiur , Rabbi Mohammad Fazle , Altwijri Omar , Alqahtani Mahdi , Sikandar Tasriva , Abdelaziz Izzeldin Ibrahim , Ali Md. Asraf , Sundaraj Kenneth
Published: April 2019

Indoor air quality in pharmaceutical industry plays a vital role in the production and storing of medicine. Stable indoor environment including favorable temperature, humidity, air flow and number of microorganisms requires consistent monitoring. This paper aimed to develop a fuzzy logic-based intelligent ventilation system to control the indoor air quality in pharmaceutical sites. Specifically, in the proposed fuzzy inference system, the ventilation system can control the air flow and quality in accordance with the indoor temperature, humidity, air flow and microorganisms in the air. The MATLAB® fuzzy logic toolbox was used to simulate the performance of the fuzzy inference system. The results show that the efficiency of the system can be improved by manipulating the input-output parameters according to the user’s demands. Compared with conventional heating, ventilation and air-conditioning (HVAC) systems, the proposed ventilation system has the additional feature of the existence of microorganisms, which is a crucial criterion of indoor air quality in pharmaceutical laboratories.
An Efficient and Novel Design of Loop Filter, Charge Pump and VCO for PLL Using CMOS Technology
Authors: AshokKumar N , Kavitha A
Published: April 2019

This article presents an occasional energy charge pump, low pass filter and voltage supervised generator for little energy section loop. PLL are generally used for synchronization and regulate of grid- associated power electronic techniques. The article enfolds the whole circuit figure of circle filter, charge pump and voltage restrict oscillator through 1.8v energy stock. This kind uses 0.18um CMOS technology. In recent times, voltage restricted oscillator are employed for phase lock loop. A great viable loop-bandwidth plan method, derivative from a distinct -time PLL model, additional complements the jitter attributes of a PLL previously somewhat evolved via optimizing precisecircuit elements. The expressed system no longer simplest guesstimates the timing jitter of a PLL, but additionally attains the most reliable bandwidth reducing the at the whole PLL jitter.
Conformal Antenna for Aerodynamic Drag Reduction in Airborne System
Authors: U Namrutha , Raaza Arun , S Ramesh
Published: April 2019

The conformal antenna receives more consideration towards the coverage augmentation of contemporary wireless communication systems. The foremost unprejudiced of conformal antenna is to reduce aerodynamic drag in aircraft. Consequently designing frequency reconfigurable conformal antenna has become a key concern in the airborne system. This article reviews the state-of-the-art conformal antenna design by considering the challenges of reducing the aerodynamic drag in the airborne applications. Microstrip patch antennas represent compact antenna that offer a conformal nature and capability of equipped integration with communication system. In this work, microstrip patch antenna is designed for airborne system for drag reduction. The hybrid particle swarm and cuckoo search optimization algorithm is utilized for the length and width. Then the algorithm values are used for the calculation of effective length. The performance of the proposed method is compared with hybrid artificial neural network and firefly, genetic algorithm and analyzed.
Limiting the Excess Broadcast in Multipath Routing Using Ant Colony Optimization
Authors: Kaur Amanpreet , Singh Gurpreet , Gupta Rohan
Published: April 2019

Single path routing in mobile adhoc network (MANET) suffers from frequent disconnections due to movement of nodes. So, multipath routing evolves as a solution to the single path routing. Many researchers are working on devising multipath routing protocols with new features and strategies. Ant colony optimization is also used by many investigators for developing new solutions for multipath routing in MANET. In this paper we have worked on controlling the broadcast being done by the intermediate nodes. We improved on our work done in Amanpreet Kaur et al. titled “ACO Agent Based Routing in AOMDV Environment” by making use of channel contention and backoff technique. We compared the newly designed algorithm with three broad categories unipath, multipath and ant based algorithm. The new algorithm performs better as compared with other algorithms on the basis of various QoS metrics like throughput, jitter, end to end delay, and number of packets send, lost in packets and delivery ratio.
Buckling Analysis of Stiffened Panels Under Fuselage Bending
Authors: Rajan.R.R Neela , Prince Raja.D Bino , G Ramanan. , Sherin.S Muthu
Published: April 2019

The utmost important characteristics in aircraft design were the structure load and safety. One of the main part of an aircraft is Fuselage. Depending on mass scattering of fuselage, the inertia forces will change along the length of the fuselage. Fuselage tends to bend down about axis wing due to Inertia force scattering. This bend will generate tension in upper part of fuselage simultaneously fuselage bottom part will experience compression. This work reveals the issue of the compression buckling of stiffened panels in the bottom portion of the fuselage. A linear static analysis will be carried out on a part of fuselage structure with scattered inertia load. The panels with extreme compression load is recognized for buckling analysis. From static analysis, compression load acting on each panel can be extracted and buckling factor is discovered. MSC PATRAN and MSC NASTRAN are used for this study. From the value of Buckling Factor for both Global and Local analysis of fuselage with different cross-sections, it is clear that the design of the fuselage stiffened panel with ‘L’ and ‘Z’ cross-section is safe one.
Bonding capacity of GFRP sheet for concrete beams strengthening under saline water environment
Authors: Amir Sultan Mufti , Djamaluddin Rudy
Published: April 2019

Structures built in aggressive environments such as in the sea/marine environment need to be carefully designed, due to the possibility of chloride ion penetration into the concrete. One way to reduce the strength degradation in such environment is to use FRP, which is                  attached to the surface of reinforced concrete using epoxy. A series of the specimen of reinforced concrete beams with dimension 100×120×600 mm were cast. Beams were immersed in the saline water for 3 months (B3), 6 months (B6) and 12 months (B12). Three specimens were prepared to control beam without immersion in the saline water (B0). Write the study presented is focused on determining the effect of the saline water environment to the capacity of GFRP as flexural external reinforcement elements. The result indicated that the bonding capacity of B3, B6, and B12 compared to B0 decrease of 7.91%, 11.99%, and 37.83% respectively. The decreasing was caused by the weakening of the bonding capacity GFRP due to the influence of the saline water environment.
Breast Cancer Detection Using Combination of Feature Extraction Models
Authors: Suneetha Rani T , J Soujanya S , Anjaiah Pole
Published: April 2019

Recognition of either masses or tissues in a mammogram digital images is a key issue for radiologist. Present methods uses medial filter and morphological operations for detection of suspected cases in a mammogram. They use region of interest (ROI) segmentation for extraction of masses and classification of levels of severities.  Classification of large number of mammogram images based on breast cancer cases takes longer computation time for performing of ROI segmentation.  This is addressed by multi-ROI segmentation and it retrieves the textual properties of large mammogram images for effectively determining the breast cancer mammogram images.Experimental results shows the better performance of proposed method than existing ROI based texture feature extraction.
Intelligent Lighting System and Garbage Monitoring System
Authors: M.Prakash U , Madan Priyanshu , R. GokulAnand K , Prabhakaran S
Published: April 2019

This paper aims at designing a system that focusses on two major societal issues in India i.e. improper garbage management and loss of energy from existing street lighting systems. We designed an intelligent lighting system Using embedded systems and machine learning algorithm we predict the environmental lighting conditions and accordingly change the behavior of the street lights. The present street lighting systems use timer or manual interaction to turn on and off the lights. But these methods are not energy efficient. In our model, we used Light Dependent Resistor LDR and algorithm to eliminate those drawbacks. In Garbage monitoring system, alerting the concerned authorities about the level of garbage collected was the most important aspect. In this system, an Ultrasonic sensor along with machine learning algorithm was used to solve the above situation.
Optimization on Cryogenic Co2 Machining Parameters of AISI D2 Steel using Taguchi Based Grey Relational Approach and TOPSIS
Authors: Balaji V , Ravi S , Naveen Chandran P
Published: April 2019

The Machinability, and the process parameter optimization of Cryogenic CO2 machining operation for AISI D2 steel have been investigated  based on the Taguchi based grey approach and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).In this examination work, the measure of the work materials utilized was AISI D2 Steel of size is 150mm × 50 mm × 50m with SANDWIK influence CVD To TiN coated carbide cutting insert tool device embed was utilized. The time taken for machining is 5 min and profundity of cut were kept up steady with various lower cutting velocities, and diverse encourage rate. An L27 orthogonal array was selected for planning the experiment. Cutting speed, depth of cut and feed rate were considered as input process parameters. Cutting force (Fz) and surface roughness (Ra) were considered as the performance measures. These performance measures were optimized for the improvement of machinability, quality of product. A comparison is made between the multi-criteria decision making tools. Grey Relational Analysis (GRA) and TOPSIS are used to confirm and prove the similarity. To determine the influence of process parameters, Analysis of Variance (ANOVA) is employed. The end results of experimental investigation proved that the machining performance can be enhanced effectively with the assistance of the proposed approaches.
Class Monitoring System Tools MTCNN and Haarcascade Classifier
Authors: Vikram Bhattacharya Aditya , Khanna Mrinalini , Tripathi Akshay , Murugaveni S
Published: April 2019

The project aims towards the assistance of teachers at the time of taking attendance. The system solely focuses on face detection and recognition. The tools used to device the system are API’s offered by Python 3.6, Open CV(for detection) and a few cognitive tools provided by Azure.The basic idea behind the project is face recognition linked to a database backend. The information of the student attending the class is stored here. The entire attendance is associated with two types of time stamps incorporated at the server end. The time stamp helps to keep a track of the hour conducted and the time for which number of people attended the class. Exceptions in the time stamp would be incorporated in order to cater for the students leaving the class or trying to bunk the class. In case of further exceptionsin the time stamp will be scope of further development of the system. All queries or conditions of the students will be answered by the system on communication with the admin. If the admin finds that the system was at fault then it can always be fixed by the admin for smooth functioning of the class monitoring system.
Predictions for Startups
Authors: Ramalakshmi Eliganti , Reddy Kamidi Sindhuja
Published: April 2019

In general 90 out of 100 startups fail to gain expected funding. There can be several reasons like bad management, lack of sufficient funds, good working team etc. which leads to failure of startup. This work aims to create a machine learning model for predicting the range of funding for the startups based on many key attributesthat are involved at different stages in the startup functioning. It is very important to predict the range of funding prior to the implementation of project and till today not much work is done in this respect. This paper proposes implementing a model to predict the funding of a startups based on many important factors like idea of the startup, place where the startup established, domain vertical to which the startup belongs, prior investors, type of funding the organization is expecting. A model is developed by working on real time data of startups from 2015 to 2017. Classification and regression algorithms are used to build the model.
Energy Efficiency Optimization in Cooperative Spectrum Sensing by NOMA
Authors: Awasthi Meenakshi , Nigam J.Madhav , Kumar Vijay
Published: April 2019

Energy efficiency improvement is a major point of concern in cooperative scenario of cognitive radio networks, so as to compensate the overhead occurred due to power consumed by multiple numbers of secondary users. Non-orthogonal multiple access (NOMA) is a potential technique to get the higher spectrum efficiency for 5G systems. The basic feature of NOMA is to utilize the same channel, time and code but at different power levels, which results in higher spectrum efficiency (SE). In this article, firstly the cognitive radio (CR) inspired NOMA is generalized by multiple primary users. Then, energy efficiency (EE) is optimized for the proposed system. An efficient algorithm is proposed for the non-convex fractional programming problem. Simulation results show the superior performance over conventional multiple accesstechniques.
Prototype of Slotted Microstrip Patch Antenna for Multiband Application
Authors: Sharma Ragini , Kumar Aghwariya Mahesh , Agrawal Tanvi , Tyagi Sachin
Published: April 2019

In this paper a slotted microstrip patch antenna has been designed that works for two frequencies 1.42GHz and 2.65GHz. Since a microstrip patch antenna works only on one resonant frequency so converting that into a multiband patch antenna would enhance the bandwidth  and also utilizes the multiple frequencies of operation. This multiband slotted patch antenna is fabricated on FR4 lossy dielectric substrate whose dielectric constant is 4.3 and height is 1.6mm. The length and width of patch are taken as 51.16mm and 39.86mm respectively. we cut out the slots so that the patch antenna works at multiple frequencies. Another advantage of presented design is it reduced the size of antenna actually required for 1.42GHz frequency. Simulation and analysis of slotted patch antenna is done by CST software. Simulation and fabrication results show that the presented antenna design characteristics meet with the standard characteristics of antenna.
A Review on Forest Fire Detection Techniques: A Decadal Perspective
Authors: Chowdary Vinay , Kumar Gupta Mukul , Singh Rajesh
Published: April 2019

Forest fire disasters have always been mankind’s constant and inconvenient companion since time immemorial. In the recent past years, managing crisis for example a large scale fire has become a very difficult and challenging task. Things that are common in most of the forest fire that occur at large scale are loss of life (human or animal), loss of vegetation, loss of flora and fauna, and communication failure (if any). Apart from causing a great loss to valuable natural resources of nature forest fire pose a greater risk not only to life of human being but also to the inhabitant’s such as wild life living in the forest. As per National Fire Danger Rating System (NFDRS), if a fire is detected within 6 minutes of its occurrence then it can be easily disposed-off before it turns into a large scale fire. For this a network that can detect fire at a very early stage is required. There are numerous techniques to detect the occurrence of forest fire and this article is dedicated towards reviewing detection techniques present in the literature. This work will give a bird’s eye view of the technologies used in automatic detection of forest fires and reviews almost all the detection techniques available in the literature. To the best of our knowledge this is the first time that almost all the techniques available in the literature are reviewed and considering almost all the parameters.
Forest Fire Prevention Using WSN Assisted IOT
Authors: Vimal Vrince , Ji Nigam Madhav
Published: April 2019

Internet of Things is the mainstay of the new era since its application becomes the future of day-to-day life. This work targets the IoT network assisted by WSN to prevent forest fire. We propose two-layer architecture of sensor network assisted by IoT enabled UAVs. The data flows in the proposed architecture in bottom-up fashion i.e., data is sensed by the nodes, which are deployed in the forest area (and sense temperature continuously). This data is transmitted to upper layer consisting of UAVs, which take appropriate action (to sprinkle water to bring temperature down to prevent fire). All the UAVs are interconnected to each other as well as to base station. The sensor nodes are clustered using two-step clustering algorithm, which takes care of the isolated nodes. The scheme has been equated to another WSN assisted IoT clustering technique. The proposed scheme outperforms the existing in terms of congestion at the UAV stations, number of alive nodes and remaining energy of the network.