bluuebunny/crossref_metadata_2025 huggingface dataset:
A study on die sinking EDM of Nimonic C-263 super alloy : an intelligent approach to predict the process parameters using ANN
Authors: Bhadri Raju Chekuri Rama , Kalluri Ramakotaiah , Siriyala Rajesh , Kumar Palakollu Jamaleswara
Published: April 2019

In current study, machining characteristics of Nimonic C-263 are analysed by TAGUCHI and modelled using Artificial Neural Networks (ANN). The response parameters under consideration are Material Erosion Rate (MER), Electrode Wear Rate (EWR), Surface Roughness (SR) and Dimensional Overcut (DOC). A regression mathematical model is also developed to verify the capabilities of ANN. The modelling of ANN includes identifying appropriate combination of hidden layers and number of neurons in each hidden layer. Study on machining characteristics revealed, peak current as the most influential process parameters affecting all the responses; followed by Pulse on-time. A contrary effect is observed for Pulse off-time. A rare process parameter named flushing pressure showed negligible influence on responses. Among various ANN architectures, 6-6 architecture is noted to possess phenomenal prediction accuracy of 99.71% compared to 93.55% of regression analysis.
Temperature based fan speed control and observing utilizing arduino
Authors: M. Nagabhushana Rao Dr , Lalitha Devi P , K. Mahitha K , Prem Kumar K
Published: April 2019

For the most part in various climatic conditions individuals will attempting to control the speed of the roof Fan in their room by physically controlling the Fan controller. Yet, by doing this physically is somewhat repetitive undertaking and not exact. Switching Fan regulator more often through manual control may damage the regulator and sometimes leads to current shock. The above discussed problems can be avoided by implementing the speed control mechanism of the fan in automatic way. A sensor is placed in the room to sense the room temperature in degree centigrade. As indicated by distinguished temperature a control circuit will control the speed of the fan. On the off chance that the room temperature is all the more, at that point the speed of the fan will increment. In the event that the room temperature is less, at that point the speed of the fan will naturally diminishes by the control circuit. The innovation OR the circuits utilized as a part of this undertaking are temperature sensor like LM35, and an aurdino UNO.
Modelling and implementation of Mppt (Inc) algorithm for Pv water pump applications using Matlab
Authors: Sivakumar S , Siddappa Naidu K
Published: April 2019

The presentdissertationhaggle by means of the configuration and enforcement proceeding from a common despite of a capable solar DC water pumping technique with battery backup by means of MATLAB SIMULINK software. The overall system depends on sunlight during daytime. It consists of subsystems like solar or photovoltaic (PV) panel, MPPT, Cuk converter, battery and DC motor and pump. This PV panel subsystem is designed by MATLAB range is 60W module with various irradiation rank and medium temperature. During daytime the clash of source and load, PV panel efficiency gets summarized.In some measures, to draw the zenith power to theammunition from PV panel, MPPT lives toput into effectin the Cuk converter manipulating by PWM Generator in addition to MPPT hill climbing (HC) algorithm which is also known as incremental conductance (INC). The result validates for MPPT put upessentially increases the system efficiency. The attainment of an overall solar power from the Photovoltaic (PV) water pump proposed system preserveindefinitely codified by a Simulink Paradigm. The MATLAB simulations ratify the DC-DC converter design. This allows a lower cost system. The battery was used as a backup during night time.
Phishing websites blacklisting using machine learning algorithms
Authors: G Nivedhitha , Mary Belinda M.J Carmel , N Rupavathy
Published: April 2019

The development of the phishing sites is by all accounts amazing. Despite the fact that the web clients know about these sorts of phishing assaults, part of clients move toward becoming casualty to these assaults. Quantities of assaults are propelled with the point of making web clients trust that they are speaking with a trusted entity. Phishing is one among them. Phishing is consistently developing since it is anything but difficult to duplicate a whole site utilizing the HTML source code. By rolling out slight improvements in the source code, it is conceivable to guide the victim to the phishing site. Phishers utilize part of strategies to draw the unsuspected web client. Consequently an efficient mechanism is required to recognize the phishing sites from the real sites keeping in mind the end goal to spare credential data. To detect the phishing websites and to identify it as information leaking sites, the system proposes data mining algorithms. In this paper, machine-learning algorithms have been utilized for modeling the prediction task. The process of identity extraction and feature extraction are discussed in this paper and the various experiments carried out to discover the performance of the models are demonstrated.
Lossless MRI compression utilizing prediction by partial approximate matching
Authors: David S Alex , S Ravikumar , Kumar K Antony
Published: April 2019

MRI is a medicinal imaging system utilized as a part of radiology to picture the inner structure of the human body for the analysis of various sorts of wounds and conditions in a non– obtrusive way. A standout amongst the most difficult issues in therapeutic imaging is pressure of the information to be sent over fitting transmission lines with no misfortune in data. Setting based displaying gives high spatial determination and differentiation affectability necessities for the analytic reason. Since, it is attractive to have exact lossless pressure of MRI picture, execute the Prediction by Partial Approximate Matching (PPAM). PPAM models the likelihood of the encoding image in view of its past settings, whereby setting events are considered in an inexact settings proficiently, store the settings that have been beforehand seen in a tree structure, called the PPAM setting tree.
Solar and Wind Power Forecasting with Optimal ARIMA Parameters
Authors: Veda Swaroop M , Linga Reddy P
Published: April 2019

The solar and wind renewable energy sources are gaining popularity to encourage green energy into the power system. The cost of generation of solar and wind energy sources are decreasing and competing with conventional coal-based generation. Therefore, it is very important to integrate these renewable sources into the power system. Integrating Solar and wind energy sources require to solve the uncertainty problem. Both the solar and wind energy generation is uncertain and not controllable. In this paper, sliding window optimal ARIMA forecasting algorithm is proposed to solve the uncertainty associated with solar and wind sources. The proposed forecasting method is used on the data collected from National Renewable Energy Laboratory website.
A secure dynamic adaptive routing technique using game theory in wireless sensor network
Authors: A Muruganandam. , R Anitha.
Published: April 2019

A Wireless Sensor Network (WSNs) is popular developing the field in industrial and other major markets. Wireless data security is the central theme in the WSNs application where security of transmitted data is more concerned. Due to the significant concentration of energy efficiency and performance analysis in WSN, providing secured communication is a challenging issue. To overcome this interdependent problem Game theory can be used. Game theory is applied here to select different routes to transfer the data from source to destination. The performance of the WSNs can be increased by providing security for transmitted data. The graph for throughput, end to end delay, delivery, and packet loss ratio are generated using NS2 simulation tool.
An optimal energy consuming protocol for localization using ANFIS residual energy for MANET
Authors: M Vasim babu , R Ramasamy
Published: April 2019

In recent years, the scientific community has acquired a fair amount of recognition on Mobile Adhoc Networks (MANETs). These devices are used in wide range of application scenarios due to its compact size, affordable devices consumed scarce energy and finite computing resources .These application includes biomedical health monitoring, environmental monitoring and target tracking where node localization is essentially another system parameter. Localization of nodes is mandatory in order to detail the emergence of events, routing and to respond queries regarding network coverage, oblige group enquiring of sensors. In this paper, a competent protocol is proposed that consumes less energy of nodes in MANET which is based on ANFIS residual threshold energy. The threshold value is determined based on the fuzzy membership functions. Primarily the neighborhood nodes of source are formulated using two factors: enclosed region and relaying region. The neighbor nodes deliberated by those factors adopt the maximum threshold value initiated using ANFIS. The node with maximum values of threshold and distance is preferred as the next hop for the transaction. The experimental outcome interprets that our protocol can prominently diminish the overall energy consumption considering for all environments.
Automation in supply chain management system using Internet of Things (IoT)
Authors: Laxmi Aishwarya Raj , Mishra Ayaskanta
Published: April 2019

An automated Supply Chain Management (SCM) System includes the real-time GPS position tracking of transport fleets as well as a RFID based shipment tracking at the entry and exit point of the warehouse. This paper has proposed a system architecture and implementation of the same using Arduino and SIM808 based GPS position tracking system for constrained power application. A Raspberry Pi and RC522 RFID Reader is used for a MQTT based shipment tracking system at the warehouse. Integration of both the modules makes a comprehensive Automated Supply Chain Management System, which can be used by logistic companies to monitor and manage their logistics using the web based GUI. Internet of Things (IoT) platform is used for data communication from Sensors to cloud platforms HTTP POST and PHP is prior and CloudMQTT in later case.
Sensor less control of PMSM fed from three phase four switch inverter based on back EMF observer and sliding mode controller with fast reaching law
Authors: R Ashok kumar , K Balaji
Published: April 2019

Closed Loop control of PMSM drives require rotor position and angular velocity information, the use of position sensor increases cost of the drive and increases complexity in motor construction. A position sensor less vector control technique is proposed where a back EMF observer is used to estimate motors speed and position signal. Back EMF observer method is simple and has high accuracy in estimating speed of PMSM motor. Permanent magnet synchronous motor is fed from a three-phase four-switch inverter and sliding mode controller is used as a speed regulator. Fast reaching law is added to sliding mode speed controller, which replaces constant switching gain function by variable switching function based on sliding surface. Variable switching function for SMC eliminates the chattering problem that occurs due to high value of constant switching gain. The proposed reaching law for sliding mode controller reduces the time taken for the controller to reach convergence and also increases robustness of the drive during parameter variation and full load conditions. Use of sensor less control technique and four-switch inverter reduced the overall cost of the drive whilst maintaining the performance of the system. Merits of pro-posed sensor less control technique and sliding mode controller with fast reaching law is verified by simulations using MATLAB/Simulink software.
Mathematical formulation of energy efficient routing with constraint in mobile ad hoc network
Authors: Sahu Rakesh , Chaudhari Narendra
Published: April 2019

Energy consumption of nodes during the transmission is an important factor for the efficiency and lifetime of a mobile ad hoc network. The reduction in consumption of energy can be achieved, only when its consumption at each step is known. The purpose of this paper is to formulate the mathematical model of energy consumption of network on the basis on links and available nodes in order to formulate the energy optimization function. The probability of link failure in route and innetwork have been taken into consideration as constraints while formulating the objective function of estimated energy consumption, as the low connectivity is one of the challenges due to mobility in ad hoc network.
Post content and its effect on consumer engagement rate in Indian life insurance Facebook brand pages
Authors: Jayasingh Sudarsan , Thiruvenkadam T. , Arunkumar S.
Published: April 2019

Indian insurance companies are new in adopting social media marketing and this research paper try to identify the post characteristics that drive consumer engagement in Facebook brand pages. The data used for this study was obtained from the post of five brands of Indian life insurance companies’ official Facebook brand pages. The data collection was gathered using Fanpage Karma over a period of three months, from the 1st of Jan to the 31st of March 2017. The posts collected during the period were 448 brand-initiated posts in total. This study calculated consumer engagement rate as total number of likes, comments and shares by total number of fans. The analysis is done using negative binomial regression statistical technique. The results show that media format and content type significantly affects the consumer engagement in Facebook brand pages. Content that provides brand related information was found to be one of important factor to increase the consumer engagement rate. The consumer engagement is found to be high for images of low vividness. The recommendations provided to marketers based on the research findings in this study.
Effect of The Building Maintenance and Resource Management Through User Satisfaction of Maintenance
Authors: Pontan Darmawan , Surjokusumo Surjono , Johan Johny , Hasyim Cholil , Ikhsan Setiawan Muhammad , Saleh Ahmar Ansari , Harmanto Dani
Published: April 2019

PD Pasar Jaya manages 153 markets spread across Jakarta. Market building is a place of public services, in order to provide excellent service to the community, it is important to maintain it properly. Maintenance management of PD Pasar Jaya is still far from the expected. The purpose of this study was to determine the effect of directly and indirectly from the condition of the building and maintenance resources to user satisfaction through maintenance management. The research method is by taking a sample of 14 buildings market, then use the check list building condition assessment visually and dissemination of survey questionnaires to 216 respondents, namely the market manager, the kiosk, and visitors. The questionnaire consisted of four variables: the condition of the building (X1), maintenance resources (X2), as an variable, independent maintenance management (Y) as variable, an intervening while user satisfaction (Z) as the dependent variable. Furthermore, assessment data is processed by the descriptive analysis of the building, while the questionnaire survey data processed by path analysis using linear regression with SPSS ver. 22. The results of assessment of 14 buildings is a market average of 78 of the highest value of 100, this means that the condition of the building is being with only minor damage. The total yield of the influence of the condition of the building (42.38%) and maintenance resources (25.01%) towards satisfaction of a user through maintenance management (1.26%) is 68.65%.
Modeling of Waste Material Costs on Road Construction Projects
Authors: Waty Mega , W. Alisjahbana Sofia , Gondokusumo Onnyxiforus , Sulistio Hendrik , Hasyim Cholil , Ikhsan Setiawan Muhammad , Harmanto Dani , Saleh Ahmar Ansari
Published: April 2019

Material waste is a term from the amount of waste material percentage and is one of the serious problems in the implementation of road construction project. The research objective is to calculate the average percentage of waste material in road construction projects and obtain waste material influencing profit and make a regression model of % material waste to % profit contractors. The data obtained are 158 projects in East and North Kalimantan divided into 51 road building projects and 107 road improvement projects. The percentage of waste material on road building project is B aggregate as the largest (26%) and ready mix concrete (5.3%) as the smallest. The percentage of waste material on road improvement project is B aggregate as the largest (24.2%) and ready mix concrete (6.14%) as the smallest. The influencing waste material on the road construction project is B aggregate, lean concrete and ready mix concrete with regression equation to determine the estimated % profit contractor as a function of % material waste is Y = 7.363 -0.032 X3 - 0.078 X4 - 0.066 X6. The influenced waste material on road improvement projects are cement, B aggregate, and Land Fill  with the regression equation to determine the estimated % profit of contractor as a function of % material waste is Y = 8,702- 0,037 X4-  0,054 X5- 0,044 X7.
Designing Early Warning System for The Impact of Industrial Development Waste by Using pH Control System
Authors: Sri Lestari Veronika Nugraheni , Cahyono Dwi , Susilowati Sri
Published: April 2019

Environment is inseparable from human life. Human negligence in building industry without caring the impact on environment can damage the physical and biological environment slowly and indirectly. Therefore an effort to preserve the quality of environment, especially for the environment adjacent to the settlement, is necessary and can be performed in various ways including technology utilization. Technology develops rapidly and electronic devices have become one compulsory device to be owned. Wastewater is industrial waste should be controlled prior to passing surrounding environment to avoid pollution. One way to control it is controlling its pH of, this is performed by early warning on pH level. This paper focused on designing control device for industrial waste water pH that is able to inform an early when on concentration of industrial waste water under normal limit water.
A Branch-and-bound algorithm for concave minimization problem with upper bounded variables
Authors: Ho Oh Se
Published: April 2019

This paper presents a branch-and-bound algorithm for solving the concave minimization problems with upper bounded variables. The algorithm uses simplex to construct the branching and the bounding procedure. The linear convex envelope (the objective function of the subproblem) is uniquely determined on the candidate simplex which contains the subset of the local minimal points. The optimal solution of the subproblem is a local optimum of the original concave problem and used in reducing the list of active subproblems. The branching process splits the candidate simplex into two subsimplices by fixing the selected branching variable at value 0 or upper bound. Then the subsimplices are one less dimensional than the candidate. It means that the size of the subproblems gradually decreases. Further research needs to be focused on the efficient determination method of the simplex. The algorithm of this paper can be applied to solving the concave minimization problems under knapsack type constraints.
Handling data analytics on unstructured data using mongo DB
Authors: Kanth Aluvalu Rajani , A.Jabbar M
Published: April 2019

This paper has been withdrawn.
Implementation of reconfigurable galois field multipliers over2m using primitive polynomials
Authors: Raj Narain B , T. Sasilatha Dr
Published: April 2019

The Galois field multiplier finds extensive use in cryptographic solutions and applications. The Galois field multiplier can be implemented as fixed bitwise or reconfigurable. For fixed length, the data is restricted to the fixed length. But in reconfigurable GF multipliers, the bit length of the multiplier is flexible and is independent of hardware architecture. This paper proposes a method to implement a reconfigurable GF multiplier for various bit values from 8 to 128 bits. This paper compares the area complexity of various bit size in Xilinx Spartan 3E family FPGA and estimates the resources required for the implementation.
A Study on Mechanical Properties of Conventional Concrete and Coconut Shell Concrete by Replacing Cement with Silica Fume
Authors: R.Prasath Kumar V , Gunasekaran K , K P Sreerag
Published: April 2019

High standing estimation of building materials utilized for development is a component of incredible concern. Coconut shell as a completely substitution in the place of coarse aggregate may totally effective for designers in construction industry. The coconut shell concrete is a light weight solid which may decrease the self-heap of a structure. The under taken project depends on inspecting attributes of coconut shell concrete when contrasted with conventional concrete. Coconut shells going from 10mm strainer and held on 6.3mm were considered to utilize for this study. For the current study M100 grade concrete is used to cast the specimens. The principle properties considered testing on coconut shell concrete and conventional concrete is compressive strength, split tensile strength and flexural strength. Examples were taken by supplanting coarse aggregate with coconut shells completely and cement is supplanted by silica fume with various extents of 5%, 10%, 15%, 20%, 25% for compressive strength test and tests were done at 3, 7, 28, 56 and 90 days of curing, it is observed that the ideal compressive strength outcomes were obtained at 10% of silica fume. The flexural strength and  split tensile strength of the specimens are calculated with replacement of cement by silica fume with  different extents of 0%, 5%, 10% and 15%, tests were done at 3, 7 and 28 days of curing. The optimum replacement percentage of cement by silica fume is 10% for compressive strength, split tensile and flexural strength. The primary principle is to lessen the utilization of natural aggregate by supplanting them with coconut shells and to decrease the density of concrete which makes concrete for simple dealing.
Unit regular inverse monoids and Cliford monoids
Authors: V K Sreeja
Published: April 2019

Let S be a unit regular semigroup with group of units G = G(S) and semilattice of idempotents E = E(S). Then for every there is a such that Then both xu and ux are idempotents and we can write or .Thus every element of a unit regular inverse monoid is a product of a group element and an idempotent. It is evident that every L-class and every R-class contains exactly one idempotent where L and R are two of Greens relations. Since inverse monoids are R unipotent, every element of a unit regular inverse monoid can be written as s = eu where the idempotent part e is unique and u is a unit. A completely regular semigroup is a semigroup in which every element is in some subgroup of the semigroup. A Clifford semigroup is a completely regular inverse semigroup. Characterization of unit regular inverse monoids in terms of the group of units and the semilattice of idempotents is a problem often attempted and in this direction we have studied the structure of unit regular inverse monoids and Clifford monoids.
Practical applications analysis and economic efficiency of the method on assessment of the sealing action from the tracked mover on the soil layer
Authors: E. Peregoodov N , A. Novak M
Published: April 2019

The article describes and evaluates the economic efficiency of applying a modern approach to solving the problem of soil compaction by tracked movers using a new method based on the theory of hereditary creep of elastoviscoplastic materials, taking into account new factors (the time of the impact of movers on the base, rheological properties of the soil, etc.), as well as using a new devices and techniques for determining the physico–mechanical characteristics of the soil layer and modern specialized software products.
Evaluation of Talud Technical Planning on River Regency of Aceh Singkil
Authors: Tanjung Darlina , Sarifah Jupriah , Pasaribu Bangun , Lubis Marwan , Lukman Anisah , Hasibuan Abdurrozzaq
Published: April 2019

Dynamics that occur in the city of Singkil impact on the development of the city both on socioeconomic aspects as well as in the physical manifestation of talud facilities, which can spur an increase in productivity of a region and the functioning of infrastructure of a city well and smooth. Effect of retaining wall against cliff reinforcement that can protect embankment or beach. By knowing the magnitude of the effect of the safety factor due to the slip, bolster, and the decrease due to the consolidation of the clay layer and the load of the embankment as well as the amount of time of the decline. The crumbling factor (FS guling = 14.97) is greater than the safety factor, for the stability of the slip where the maximum force, where the only force of thrust causing the active horizontal force component (Pa = 0.333) results in a FS (slip) greater than the safety factor of stability to the carrying capacity, the eccentricity value (e = - 0.081) more than 1/6 then the qmin value becomes positive, since the value of e <1/6, and the FS yield of soil bearing capacity (FS (carrying capacity) = 162.122) this value is greater than FS security means the talud safely holds load carrying capacity, safe against bolsters and slip.
Fiber Laminate Adding Effect to Tensile Strength, Hardness, and Fault Surface of Teki Grass (Cyperus Rotundus) Composite
Authors: Rafiq Yanhar Muhammad , R Harahap Muksin , Bachori Ahmad , Napid Suhardi , Sri Poneni Istu , Hasibuan Abdurrozzaq
Published: April 2019

The aim of this research is to know the fiber laminate adding effect to tensile strength, SEM photo, and hardness of teki grass (cyperus rotundus) composite specimen. Tensile and hardness test specimens were prepared by hand lay-up method with variations of 1, 2, and 3 fiber layers. Test results showed the highest tensile strength occurred in 1 layer fiber of 21.83 MPa and decreased in 2 layers of fiber and 3 layers of fiber of 17.95 MPa and 16.17 MPa. This is caused by random fibers that spread in all directions so that many fibers are not aligned with the tensile force. Addition of the fiber layer results in reduced resin volume so that the bond between fiber and matrix also decreases, which in turn will make the fiber cannot withstand tensile well. Analysis of SEM photographs also proves that the reduced volume of resin causes the bond between fiber and matrix to decrease resulting in cavities in 2 layer and 3 layers of composite. The results of the hardness test show that the addition of fiber layer decreases the hardness value. This is due to the soft grass fiber that is softer than the resin polyester, so that the added layer of fiber will reduce the hardness value.
Effective Sentence Assignment as the Key to Improve Skill of Writing Exposition with Online Learning Media Quipper
Authors: Saddhono Kundharu , Oktaria Dinari , Muflikh Raharjo Yusuf , Adi Nugroho Rudi , . Sudaryanto , Qomariyah U’um , Vidya Asteria Prima , Faizah Umi
Published: April 2019

This study aimed to determine the relationship between the mastery of effective sentences, activity of writing and writing skills exposition text using online learning media Quipper. This research was conducted in Vocational School Education of Surakarta. The method used is correlational survey method. The study population was all students in grade X Vocational School Education of Surakarta. Samples numbered 120 people were taken by proportional random sampling. Instruments for collecting data is a test of skill to write text exposition, effective sentences mastery tests, and questionnaires liveliness writing. The analysis technique used was the statistical technique of regression and correlation The analysis showed there is a positive correlation between mastery of effective sentences and liveliness writing together with the skills to write text exposition (Ry12 = 0.59 in the real level of α=0.05 with N=120, Rt=0.120,and F0=31 70˃Ft=3.0764). Based on the research results obtained concluded that jointly effective sentence mastery and liveliness write a significant contribution (34.81%) in the text writing skills exposition. It shows that these two variables can be a good predictor for text writing skills exposition.
Building Interactive Communication with Google Classroom
Authors: Subandi S , Choirudin C , Mahmudi M , Nizaruddin N , Hermanita H
Published: April 2019

Google Apps for Education (GAFE) is a technology is provided and designed for college by promoting the use of information technology and collaboration. One of Google Apps for Education products is Google Classroom being a learning media between for Lecturers and Students to build interactive communication. Interactive communication leads to good feedback in the form of educational transformation from learning source to learner. This is what improves the engagement for the students themselves. By the concept of digital classroom, students no longer just sit passively in the classroom, they are interested in themselves to explore the things offered by technology. Building interactive communication among students need a good strategy. Strategy not only serves as a concept map that shows only direction, but is able to demonstrate operational tactics to achieve the established goals. A teacher or lecturer who does not have a good teaching strategy will not be able to create good communication with students. Building interactive communication among students need a good strategy. Strategy not only serves as a concept map that shows only direction, but is able to demonstrate operational tactics to achieve the established goals. A teacher or lecturer who does not have a good teaching strategy will not be able to create good communication with students.
A review: towards practical attack taxonomy for industrial control systems
Authors: Saif Qassim Qais , Jamil Norziana , Jidin Razali , Ezanee Rusli Mohd , Nabil Ahmad Zawawi Md , Zaini Jamaludin Md , Reza Z’aba Muhammad , Azlan Wan Kamarulzaman Wan
Published: April 2019

Supervisory Control and Data Acquisition (SCADA) system is the underlying control system of most national critical infrastructures such as power, energy, water, transportation and telecommunication. In order to understand the potential threats to these infrastructures and the mechanisms to protect them, different types of cyber-attacks applicable to these infrastructures need to be identified. Therefore, there is a significant need to have a comprehensive understanding of various types of cyber-attacks and its classification associated with both Opera-tion Technology (OT) and Information Technology (IT). This paper presents a comprehensive review of existing cyber-attack taxonomies available in the literature and evaluates these taxonomies based on defined criteria.
A new multifunctional DVR for compensation of voltage sag
Authors: Rao N. Srinivasa , Priyadharson A. Selwin Mich
Published: April 2019

Today, power quality is considered as a significant application. i) Highly effectual variable speed drive, ii) sophisticated electronic equipment together with iii) power electronic controller, is utilized to enhance power quality (PQ). Voltage sags are the prevalent PQ disturbances on the distribution system. It occurs on account of the faults developed in the electrical network or by the working of a huge induction motor. It is resolved by utilizing the conventional power device termed DVR (Dynamic Voltage Restorer). It is of small size and also low cost. It proffers quick dynamic response to the disturbance. A multifunctional DVR is utilized here to augment the PQ with the aid of P+ Resonant and Posicast controllers to remove the steady-state error (SSE) and enhance the transient response. Simulation outcome displays that the DVR enables to restrain the emergency scenarios of the distribution systems. The prevailing limitation reinstate the PCC (i.e. point of common coupling) (i.e. the bus to which every feeders are linked) voltage and Defend the DVR itself. The DVR performs as virtual impedance with the chief target of shielding the PCC voltage all through the downstream fault without affecting real power injection in the DVR which is the significant innovation discussed here.
Recognition of Image Verification Using Lossless Predictive Coding
Authors: Leema Priyadarsini L , Femi D , Thylashri S , Prema K
Published: April 2019

Authentication of image plays a vital role in the end to end communication of file sharing system. In record sharing frameworks, there is a possibility for change of the first information by unapproved arbiters. In the proposed strategy, an exertion is advanced to perceive the vindictive assault in the first picture through prescient lossless coding. To approve the got picture, an encoded prescient quantized picture is utilized. This strategy gives the vital security other than honest to goodness varieties while identifying illicit changes. Lossless prescient coding gives productive encoding by misusing the connection between the projection of the first and got pictures.
Cloud Computing: Secure Transmission of High Definition Videos Using Cryptographic Approach
Authors: Basha.H Anwar , Amrit Sai S , A Sanjnah , M Srimathi
Published: April 2019

Cloud computing facilitates ubiquitous access to shared pool of configurable system resources and services over the Internet. Often due to shared access to this massive amount of data there is equal chances of risk. Transferring sensitive information in the form of text, audio or video, over the cloud one cannot guarantee the safety of the file. This paper assesses the effect of transmission of High Definition videos with the help of cloud-based servers that will improve the security of data being transmitted as well as enhance the quality of experience for end-users. We propose to share video contents to a selective group of people using the Time Domain Attribute based Access Control(TAAC) schema and generate keys using cryptographic method which gives the much needed protection to access these videos. Further stegnographic approaches are practised to maintain the data confidentiality.
E-Application and Dss for Farmers to Sell Food Crops Through E-Auction
Authors: M Dharmateja , Kothuri Sriraman , Venkateswararao Kuna.
Published: April 2019

Farmers have been facing issues while selling their food crops in market due to intermediate persons, who actually got profit by setting low price while buying from farmers and later sell the same at higher price to the customers. Through e-application is developed for farmers to set their own price to their products and allows buyers for e-auction. Farmers can set the initial bid amount based on quality, life time and current market price of the products before going for e-auction. The buyers can find nearest sellers through GPS navigation system. Choices locked once validity of bidding over and corresponding buyer, seller get notified through SMS. The interface also act as Decision Support System(DSS) for farmers to post their queries for getting advice's from agriculture specialists.
Data security and storage in cloud using hybrid algorithms
Authors: Archana L , P. K. Devan K , Harikumar P
Published: April 2019

Cloud Computing has already grabbed its roots in many industries. It has become a fascinating choice for small budget organizations, as On-demand resources are available on pay as you use basis. However, security of data being stored at cloud servers is still a big question for organizations in today’s digital era where information is money. Large organizations are reluctant to switch to cloud services since they have threat of their data being manipulated. Cloud service provider’s claim of providing robust security mechanism being maintained by third party, but still there are many reported incidents of security breach in cloud environment in past few years. Thus, there is need for ro-bust security mechanism to be adopted by cloud service providers in order for excelling cloud computing. Since there are n number of data’s in cloud, Storage of those data are to be placed with high rank of Significance. In Existing system, no efficient hybrid algorithms are used there by security and storage is compromised to significant ratio. We propose AES and Fully Homomorphic algorithm to encrypt the data, thereby file size get is compressed thereby increasing Data security and stack pile.
A hybrid elman neural network predictor for time series prediction
Authors: Mohana Sundaram N , N. Sivanandam S
Published: April 2019

Artificial Neural Networks have become popular in the world of prediction and forecasting due to their nonlinear nonparametric adaptive-learning property. They become an important tool in data analysis and data mining applications. Elman neural network due to its recurrent nature and dynamic processing capabilities can perform the prediction process with a good range of accuracy. In this paper an Elman recurrent Neural Network is hybridised with a time delay called a tap delay line for time series prediction process to improve its performance. The Elman neural network with the time delay inputs is trained tested and validated using the solar sun spot time series data that contains the monthly mean sunspot numbers for a 240 year period having 2899 data values. The results confirm that the proposed Elman network hybridised with time delay inputs can predict the time series with more accurately and effectively than the existing methods.
Investigation of Beam Column Joint with Beam Weak in Shear under Monotonic Loading
Authors: Mounika B , Poluraju P
Published: April 2019

Earthquake affected structures, mostly failure occur at beam column joints (BCJ). BCJs are categorized according to their geometrical grouping as Interior, Exterior, and Corner joints. Exterior beam column joint (i.e., terminating the beam on one of the column faces) was the most vulnerable one with respect to the plane of loading. The present study aims at ductility behaviour of exterior BCJ with conventional reinforcement using the code IS 456-2000 and with special confining reinforcement using the Code IS 13920-2016. Four number of beam-column joint specimens are considered in which the first one is detailed as per IS 456-2000, the second one as per IS 13920-2016 and the other two with 50% and 30% reduction of shear reinforcement was provided while compared with the first specimen. It is mainly to satisfy the strong column-weak beam concept as the main parameter. The test was carried out on the loading frame with hinged conditions to the column both ends, and the load is applied at the tip of the beam. The experimental studies are proven with an analytical study carried out by finite element model by using ANSYS and disparate parameters are assessed both experimentally and analytically.
A novel feature fusion based Human Action Recognition in 2D Videos
Authors: Rajendra Prasad K , Srinivasa Rao P
Published: April 2019

Human action recognition from 2D videos is a demanding area due to its broad applications. Many methods have been proposed by the researchers for recognizing human actions. The improved accuracy in identifying human actions is desirable. This paper presents an improved method of human action recognition using support vector machine (SVM) classifier. This paper proposes a novel feature descriptor constructed by fusing the various investigated features. The handcrafted features such as scale invariant feature transform (SIFT) features, speed up robust features (SURF), histogram of oriented gradient (HOG) features and local binary pattern (LBP) features are obtained on online 2D action videos. The proposed method is tested on different action datasets having both static and dynamically varying backgrounds. The proposed method achieves shows best recognition rates on both static and dynamically varying backgrounds. The datasets considered for the experimentation are KTH, Weizmann, UCF101, UCF sports actions, MSR action and HMDB51.The performance of the proposed feature fusion model with SVM classifier is compared with the individual features with SVM. The fusion method showed best results. The efficiency of the classifier is also tested by comparing with the other state of the art classifiers such as k-nearest neighbors (KNN), artificial neural network (ANN) and Adaboost classifier. The method achieved an average of 94.41% recognition rate.
A Survey on collusion resistant data sharing in cloud environment
Authors: Rajkumar N , Kannan E
Published: April 2019

Cloud Computing is an emerging technology that uses the internet and remote servers to save information and application. Cloud computing enables customers and organizations to utilize applications without establishment and access their own documents at any computer with internet access. Collusion Resistant Secured the way to deal the fulfillment of an abnormal state of security with complete protection. A large portion of these techniques depend on a presumption that semi-trusted and arrangement is absent. In this paper, we concentrate on the issue of conspiracies, in which a few gatherings may connive and share their record to find the private data of different gatherings. The other related works better than this is more secure. This paper reveals an overview and study of collusion resistance techniques in more secure and efficient way for data sharing in cloud storage.
A Survey on Data Anonymization Using Mapreduce on Cloud with Scalable Two-Phase Top-Down Approach
Authors: Dhasaratham M , P. Singh R
Published: April 2019

Endless forces anticipate that customers can cut non-public information like electronic prosperity records for information examination or mining, transferral security issues. Anonymizing instructional accumulations by ways for hypothesis to satisfy bound assurance necessities, parenthetically, k-anonymity may be a for the foremost half used arrangement of security shielding frameworks. At appear, the live of information in varied cloud applications augments massively consistent with the massive information slant, on these lines creating it a take a look at for habitually used programming instruments to confine, supervise, and method such large scale information within an appropriate snuck hobby. during this manner, it's a take a look at for existing anonymization approaches to manage accomplish security preservation on insurance sensitive monumental scale instructive files as a results of their insufficiency of skillfulness. during this paper, we have a tendency to propose a versatile 2 part top-down specialization (TDS) to anonymize broad scale instructive accumulations victimisation the MapReduce structure on cloud. In mboth times of our approach, we have a tendency to advisedly layout a affair of innovative MapReduce occupations to determinedly accomplish the specialization reckoning in an awfully versatile means. wildcat assessment happens demonstrate that with our approach, the flexibleness and adequacy of TDS may be basically redesigned over existing philosophies.
Probability Model for Intrusion Detection System in Mobile Adhoc Network
Authors: P Bharathisindhu , S.SelvaBrunda Dr
Published: April 2019

Wireless technologies increasingly exist everywhere in advanced networks; however, this new innovation accompanies its own set of challenges. The nodes in the wireless network are characteristically ‘open’ and viewable by all network scanners. Networks are protected using many firewalls and encryption software’s. Firewalls restrict access between networks to prevent intrusion and do not indicate an attack within the network. An Intrusion Detection System (IDS) is required which monitors the network, detects misbehavior or anomalies and notifies other nodes in the network to avoid or punish the misbehaving nodes. In this paper, we propose a probability based IDS model that provides generalized solution to detect set of malicious nodes to improve the detection speed and accuracy.
A Comparative Study of Flat Slabs Using Different Shear Reinforcement Parameters
Authors: Girish N , Lingeshwaran N
Published: April 2019

Punching shear failure is a brittle failure and it is one of the most important types of failure to be considered while designing a reinforced concrete flat slab. This paper aims to study the performance of reinforced concrete flat slabs equipped with different punching shear reinforcement parameters. Three flat slab specimens were cast where two specimens contain punching shear reinforcement in the form of shear stirrups and structural shearbands. The test specimens have length and width of 1000mm and thickness of 185mm for the slabs. The slabs are connected to a column at the center with length and breadth of 300mm and a depth of 700mm. The test specimens were supported by steel plates with length and breadth of 150mm and a thickness of 25mm at the four corners of the slab. The test specimens are loaded on the column face at the top. The deflection, strain and crack pattern were observed and recorded.
Cooperative Spectrum Sensing Based on HML and Vector Quantization for Cognitive Radio Networks
Authors: Alpna Shweta , Mukherjee Amrit , Datta Amlan
Published: April 2019

The proposed work illustrates a novel technique for cooperative spectrum sensing in a cognitive radio (CR) network. The work includes an approach of identifying secondary users (SUs) based on Hierarchical Maximum Likelihood (HML) technique followed by Vector Quantization. Initially, the arrangement of the SUs are been observed using HML with respect to a spatial domain and then the active SUs among them are identified using VQ. The approach will not only save the energy, but the decision of the real-time and dynamic cooperative communication network becomes more accurate as we can predict the behavior of SUs movement and spectrum sensing by each individual SU at that particular  place. The results and simulations of the real-time experiment justifies with the proposed approach.
Digital Watermarking using Lifting Wavelet Transform of Crowd Sourced Images
Authors: Kumar Shrivastava Shailesh , S.K. Mahendran Dr
Published: April 2019

Capturing of digital images through Mobile based e-governance applications are growing day-by-day and issue related to protection of copyrights of digital images has become very critical. Protecting these high-volume geo-tagged time stamped digital images captured through android apps and ensuring that these images are suitable for social audit are key challenge for today’s application development. Digital image watermarking is a process by which secret information can be  in digital images so that it is possible to guard copyrights. The paper discusses an efficient digital image watermarking system using lifting wavelet transform. The proposed algorithm aims to minimize distortion of selected watermarked image. The performance of the algorithm has been tested using available images with MATLAB and their results have been properly analyzed with existing methods. The variance value between coefficients of lifting wavelet transform (LFT) in a block with size 2 x 2 has been chosen for embedding the binary watermark and the blocks are also then shuffled randomly. The result of various experiments has demonstrated that the developed algorithm is robust against various types of attacks being applied.