bluuebunny/crossref_metadata_2025 huggingface dataset:
An adaptive sentimental analysis using ontology for retail market
Authors: Mannan J. Mannar , .J Jayavel
Published: May 2018

The growth of digital documents on web becomes the massive sources for online market analyzing at broad level. The study of market research over online incorporating new parameter called sentiment analysis.  The sentiment analysis plays a crucial role for identifying behavior of customers by means of natural language processing from customer feedback about product or services.  The opinion mining have done from the user data over web related activities such as search history, blog activities, forums, comments on the social network, express the opinion about the concept/product and suggestion or recommendations. The present system is non-adaptive relation identification system works on existing, predetermined set of relations and it cannot identify the new type relation for opinion mining. The existing system are also neglected the static sentiments of users. This paper proposed ontology based adaptive sentiment analysis system for extracting new features added on the user space. In our work, the ontology and 3D space clustering framework which allows incorporation of domain knowledge for predicting sentimental analysis via opinion mining.
Florence and the river: new urban perspectives
Authors: Alberti Francesco , Paloscia Raffaele
Published: May 2018

The upgrading of riverfronts is a theme that has long played a central role in the renewal programs of large, medium and small cities throughout Europe. The case study presented in this paper is Florence, whose Roman origins and development, from the Middle Ages to today, are closely linked to the Arno River, which runs from east to west. After briefly reviewing some salient moments in the history of the relationship between the city and the river, the paper illustrates some research and projects carried out within the Department of Architecture of the University of Florence, focused on the role that Arno can still play in the future of the Florentine metropolitan area, as a catalyst for interventions aimed at improving urban sustainability, livability and resilience to climate change.
Industrial method of Pre-Cast Construction technologies and its break-even point study
Authors: Judson Luke
Published: May 2018

The applications of precast concrete systems have attained accelerated progress worldwide, due to several aspects, such as good quality control, speedy construction, economy, minimizing waste, pollution free, modern construction equipment and advanced concrete technologies. Due to lack of systematic understanding and awareness in the Architecture and Construction industry this method is not majorly used. In this paper describes available technologies and bringing out the advantages and benefits of these technologies by bringing out the ‘breakeven point or equal cost component’ in comparison with a traditional construction. Comparison based on specific building components, labor cost and benefits due to early completion.
The urban bioregion as form and project of the co-evolution between urban and rural domain. the case of the Florence metropolitan area
Authors: Fanfani David
Published: May 2018

Urbanization processes entailed, especially in western countries, growing interaction between urban and rural domain alongside with ‘resilience’ problems also related to global economic, climate and ‘transition’ matters. That calls for a ‘re-embedding’ of cities in their surrounding regions. In such a framework, this article explores the opportunity of recovering, in planning practices, the ‘urban bioregion’ concept, as key feature for balanced and co-evolutionary polycentric urban regions. That allows to point out, as in the case described relatively to Florence MA, the need to adopt integrated and bottom-up approach, in order to overcome routine and path-dependent practices in periurban areas planning.
Security Constrained Unit Commitment in a Power System based on Benders Decomposition and Mixed Integer Non-linear Programming
Authors: Prasanta Gupta Pranda , Jain Prerna , Sharma Suman , Bhakar Rohit
Published: May 2018

In deregulated power markets, Independent System Operators (ISOs) maintains adequate reserve requirement in order to respond to generation and system security constraints. In order to estimate accurate reserve requirement and handling non-linearity and non-convexity of the problem, an efficient computational framework is required. In addition, ISO executes SCUC in order to reach the consistent operation. In this paper, a novel type of application which is Benders decomposition (BD) and Mixed integer non linear programming (MINLP) can be used to assess network security constraints by using AC optimal power flow (ACOPF) in a power system. It performs ACOPF in network security check evaluation with line outage contingency. The process of solving modified system would be close to optimal solution, the gap between the close to optimal and optimal solution is expected to determine whether a close to optimal solutionis accepetable for convenientpurpose. This approach drastically betters the fast computational requirement in practical power system .The numerical case studies are investigated in detail using an IEEE 118-bus system.
Semantic Ranking based on Keywords Extractions in the web
Authors: Sangeetha A , Nalini C
Published: May 2018

The collection of terminologies from text is animportant for several issues, i.e., the future extraction and also summarization of keyword in semantic network. Semantic Ranking is typically performed using statistical data from text. Our proposed strategy develops a semantic chart utilizing understood connections, which depend on semantic relatedness between content hubs and therefore positions hubsutilizing Ranking calculations. This research work focuses only Semantic Rank for keyword mining from text. This method for keywords extraction shows that Semantic Rank makesconstructivelyin the data set.
Information Management and PSM Evaluation System
Authors: Lazim Dhabitah , Ali Shah Zuraini , Rohmat Saedudin Rd , Kasim Shahreen , Alyani Azadin Ayu , Hidayat Rahmat , Saleh Ahmar Ansari , Arief Ikhwan
Published: May 2018

Information Management and PSM Evaluation System is a system developed to replace the existing system at the Faculty of Computing. The existing system at the Faculty of Computing is a manual system in which all the evaluation process still utilises paper forms. PSM is divided into two phases; PSM1 and PSM2 and each phase has a different form for evaluation. This process is seen to be less systematic and imposes much time on the evaluator, coordinator and supervisor who are also lecturers. Information Management and PSM Evaluation System is designed to automate information management and evaluation of PSM to keep the information in the database. The scope of these systems focuses on admin, supervisor, evaluator and coordinator bound to PSM1 and PSM2. Some of the functions that can be operated on the system are evaluation, updating PSM students’ information and generating reports. The chosen methodology is an Evolutionary Prototype which needs are taken care of the system during modifications. Requirements established during the interview is employed to form a common structure with the essential basic functions of the system. Therefore, Information Management and PSM Evaluation System was developed to automate the manual system to increase efficiency. The system was developed using ASP.net technology and Microsoft Visual Studio 2010 and has been successfully completed within the specified time.
A Comparison of α-Sutte Indicator and ARIMA Methods in Renewable Energy Forecasting in Indonesia
Authors: Saleh Ahmar Ansari
Published: May 2018

Humans in this world are very dependent on petroleum and energy. Petroleum and other energies are a major source in supporting human life. Regarding the reduced petroleum availability, a new energy is needed to replace the role of petroleum. Nowadays, there is much renewable energy that have been discovered and used. The purpose of this research is to predict the total primary energy supply in Indonesia by using α-Sutte Indicator and ARIMA method, and comparing those four methods which are effective in predicting data. Data from the research is renewable energy (total primary energy supply) which is obtained from OECD from 1971-2015. From the research, it is found that the α-Sutte Indicator method is more suitable to predict renewable energy (total primary energy supply) data in Indonesia compared to ARIMA (0,1,0).
An Optimal Panoramic Strategy for Women safety using IoT
Authors: Parveen begum Afiya , Sankeyala Satynarayana , K. Bhagavan
Published: May 2018

This paper provides you an idea about Internet of Things and reviews the origin of IoT, key enabling technologies, IoT architecture, IoT in industrial areas, applications of IoT, Operating system used in IoT devices. As the Internet of Things(IoT) at large will foster billions of devices, people and services to interconnect and exchange information and useful data. We have proposed a real-time application device of IoT useful for women safety in today’s world. Considering the issues increasing on women atrocities, the Universal key question raising in every girl’s mind is when they will have a freedom to walk freely in the society even in odd hours without worrying about their security. This paper will help you to use technology with a new perspective for women safety and to provide proof-based evidence against the perpetrators of crime against women. Every Day women around the world are Harassed, Raped, and Killed. The change in society should come and leads to the time when media broadcast more of women successes rather than harassment. Since we can't respond pertinently in perilous situations, we need a device which automatically senses and saves the victim is one of the idea of this paper.
Alleviation of VAr Impact on Critical Loading Margin with Redispatch in Deregulated Power Systems
Authors: A N Venkateswarlu , Ram Tulasi , S S , Raju.P Sangameswara
Published: May 2018

The stability management under deregulated environment has become typical task to the system due to random nature of load pattern and generation schedules. In addition, the regular uncertainties in system operation like line outage, generator outage or change in loading level are also causing to change in stability as well as security margins significantly. In order to manage transmission system security, the system operator can go for redispatch as a short term solution. In this article, an attempt is made to clear reactive power loading (VAr) impact on voltage instability margin or Critical Loading Margin (CLM). An Interior Point –Optimal Power Flow (IP-OPF) is applied to make system secured under (N-1) line contingencies. Using this secured schedule, the CLM is computed using Continuous Power Flow (CPF) for the two operating scenarios i.e., without VAr and with VAr loading on the system. The case study is simulated on IEEE 14-bus test network and outcome is validating that, the redispatch can also be apt for CLM enhancement even under contingencies as short term solution for stability management in real time.
Islanding detection for grid connected photo-voltaic systems for excess generation and under generation
Authors: E Sunanda , Spandana.S Divya , Swapna Ganapaneni
Published: May 2018

Islanding occurs  mostly in wide areas. The Dc-link-voltage method gives the effective results when compared to the Under/over Frequency/Voltage method and Rate of Change of Frequency (ROCOF) method. This paper describes the islanding detection based on observation of the DC-Link-Voltage Source Converter (VSC) and also proposes a method for detecting islanding for Grid-connected Photo-Voltaic system based on rise or fall of DC-Link-Voltage for excess generation and under generation conditions. The proposed technique is validated through experimental results.
WT-ANN based fault discrimination for transmission system
Authors: Venkata Lakshmi P , N. S. Poojitha P , Srinivasrao Y
Published: May 2018

Protection of transmission line is a complex in power system as the majority of the faults in power system are transmission faults. A proper protection is needed for transmission line for continuous power supply. To provide a strong as well as an efficient protection scheme, in this paper we are using wavelet technique and artificial neural network. By using these mentioned two techniques we can detect the faults in transmission line and also, we can classify the detected faults. Wavelet transform has strong mathematical, very fast and accurate tools for brief signal inside the transmission lines and synthetic neural network can make a unique between measured sign and associated signal that has different pattern.
DC capacitor voltage stabilization for five-level NPC inverter based STATCOM under DC offset in load
Authors: Ravi Teja S , Enamullah Md
Published: May 2018

DC voltage regulation of compensator plays a significant role in tracking performance of STATCOM. It is a common practice to employ voltage source inverter with split – capacitor topology for shunt compensator in three phase four wire systems. However, drift in each capacitor voltage is observed with the presence of dc component in zero sequence current although STATCOM control unit regulates total dc voltage, which results in poor tracking of reference current by the compensator.  An external voltage balancing circuit is identified to be a good solution to overcome this problem.  This paper proposes an improved controller for external voltage balancing circuit to restore the dc capacitors voltage. The effectiveness of the proposed control of external voltage balancing circuit is verified by simulation results showing restoration of capacitors voltage drift and there by the restoration of tracking performance of the compensator.
Matlab based simulation model of standalone DC Microgrid for Remote Area Power Applications
Authors: Srinivasa Rao G , Harinadha Reddy K , Ravi Teja B , Devasahayam B , Khaleel Shaik
Published: May 2018

DC microgrids are playing an important role in remote area power applications like power supply to off-grid tele communication towers, off-grid data centres, rural electrification etc. and moreover these are extensively used, as these appear as solutions for integrating two or more renewable energy resources. In this paper, photovoltaic (PV) and wind energy systems have been integrated along with batteries and a load to form an autonomous DC microgrid with high reliability and stability.  The primary aspects which are to be taken into consideration in a standalone DC microgrid are voltage regulation, load sharing and battery management. In this paper, an energy management strategy is proposed which includes maximum power point tracking (MPPT) algorithms and voltage droop control method. This strategy ensures optimal power sharing among the sources and increases reliability and stability profile of the microgrid. The operation of the microgrid in different modes and the behaviour of the system at different operating conditions is studied by varying the solar irradiance and wind speed for specific time periods. The simulation is done in Matlab Simulink software and the results are obtained.
Comparison of Different MPPT Algorithms for PV System
Authors: Verma Richa , Bhargav B , Varma P Srinivasa
Published: May 2018

This paper helps us analyze three different MPPT techniques like Perturb and Observe, Incremental Conductance and Particle Swarm Optimization method. As the output characteristic depends on temperature and irradiance, therefore the maximum power point (MPPT) is not always constant. Hence it is necessary to ensure that the PV panel is operating at its maximum power point. There are many different MPPT techniques but, the confusion lies in selecting which MPPT technique is best as every algorithm has its own merit and demerit. In order to extract maximum power from PV arrangement, PSO algorithm is proposed. Algorithms are implemented using the DC-DC converter as well as SEPI converter. Results of simulations are presented in order to demonstrate the effectiveness of PSO algorithm, when compared to Perturb and Observe (P&O) and Incremental Conductance (INC). To simulate the proposed system MATLAB/SIMULINK power system tool box is used.
IOT And Big Data Analytics In E-Learning: A Technological Perspective and Review
Authors: Kusuma S , Kasi Viswanath D
Published: May 2018

The internet of things & Big data analytics in eLearning brings tremendous challenges & opportunities to educational institutions & students. In recent trends, the growth of Pervasive computing, Social media, evolving IoT capabilities, technologies such as cloud computing, and big data and analytics are improving the core values of teaching and conducting research but also instilling a new digital culture and developing an IoT-centric society. The primary purpose of this paper is to provide an impact of IoT & Big data analytics in the area of E-learning and study on different E-learning approaches.
Detection of fault and current approximation by wavelet transform
Authors: Narasimha rao D , Polocherla Akhila , Arumalla Madhuri
Published: May 2018

This paper acquaints a strategy with perceive the region of the normal fault on the power line for fast and strong activity of confirmation designs. The model is made in MATLAB to deliver the important segment of the transient parameters at a similar period. Each cycle of waveform, covers before blame and after blame information is inaccessible for examination. The DWT is used for data pre-preparing. MATLAB writing computer programs is used to replicate uncommon. Working and blame conditions on high voltage transmission line, to be particular LG blame, LL blame, LLG and LLLG cut off.
Shadow dispersion of PV Array under variable irradiance for superior power Generation by Magic Square Configuration
Authors: Sreenivasa Reddy G , Bramhananda Reddy T , Vijaya Kumar M
Published: May 2018

The PV array generates smaller amount of the power compared with other electrical power generation components. There are many components that are adversely effected the output of PV array in such components, one is partial shading. Due to this, each module in PV array receives different solar irradiations causes different P-V characteristics of its peak values. This paper presents a pioneering method called as Magic Square configuration has been proposed to enhance the generated power of photovoltaic modules by configuring those are under affect of shade. Thus there is no change of electrical arrangement of PV modules in an array but only the objective location in the total cross tied (TCT) array is rearranged according to the magic square arrangement. Proposed paper gives comparison data with the conventional configuration method and hence the performance is calculated. The proposed technique provides a better solution that how shadow effect on the PV  modules has been reduced and how this shadow is distributed, and not only that also gives an idea  about how the inequality losses due to the partial shading is effectively reduced. The power loss of  various configurations of 3X3 and 4X4 array has been compared. The proposed technique is validated through MATLAB/Simulink environment.
Consensus Based Economic Dispatch including System Power Losses
Authors: Tejaswini K. Naga , Rao G. Kesava
Published: May 2018

Economic dispatch (ED) is an important class of optimization problem in Power System Operation. As both conventional and heuristic methods to solve EDP are centrally controlled, which may leads to some performance limitations, a Consensus based distributed algorithm is proposed in this paper to solve Economic Dispatch with inclusion of losses. Earlier, some papers dealt with the consensus based methods to solve Economic dispatch, but here in this paper the losses are included and the variation of losses at each iteration are also used to update the mismatch, which has some major prominence in the present day Power system environment. In this paper, the mismatch between load demand and total power generation is collectively learnt by the each generator, unlike the centralized approach, through the strongly connected communication network. MATLAB results in IEEE 6-bus system validate the potency and efficacy of the proposed technique
Spectrum-aware shared protection (SASP) algorithm for cognitive radio networks
Authors: Rajavel S. Esakki , Aruna T. , Devaraj S. Allwin
Published: May 2018

Cognitive radio (CR) has become a key technology for addressing spectrum scarcity. In CR networks, spectrum access should not interfere the incumbent networks. Due to the requirement above, common control channel approaches, which are widely used in traditional multichannel environments, may face serious CR long-time blocking problem and control channel saturation problem. Although channel-hopping-based approaches can avoid these two problems, existing works still have significant drawbacks including long time-to-rendezvous, unbalance channel loading, and low channel utilization. This paper tends to the issue of range mindful survivable methodologies with disappointment likelihood limitations under static activity in adaptable transfer speed optical systems. The joint disappointment likelihood amongst essential and reinforcement ways must be beneath the most extreme fair joint disappointment likelihood for each activity request. It creates whole number direct program (ILP) models for committed way security and shared-way assurance with a specific end goal to limit the aggregate number of recurrence spaces expended, and furthermore propose a range mindful devoted insurance (SADP) calculation and a range mindful shared security (SASP) calculation. This demonstrates the ILP show arrangements devour least number of recurrence spaces, however prompt higher normal joint disappointment likelihood contrasted with the SADP and SASP calculations. In addition, both the SADP and SASP calculations accomplish a superior execution as far as aggregate number of recurrence openings expended when contrasted with a customary devoted way insurance calculation and an ordinary shared-way assurance calculation, separately, however prompt higher normal joint disappointment likelihood.
Content characteristics based robust watermarking for relational database: a new approach to database security
Authors: Kumar Manoj , Verma O. P.
Published: May 2018

Digital data such as text, relational database, audio, video and software are intellectual property of creators/ writers/owners. The database services have become easily available and economical since the booming of internet. However, their outsourcing through the internet accompanies multiple threats like copying, modifying as well as unauthorized distribution. Relational Database has a wide-spread use in many real-life applications, hence, it is essential to maintain integrity and provide copyright protection. To counter the threats, watermarking techniques have been playing a vital role since the last decade. As a security measure, Relational Database Watermarking is becoming more popular and strengthened day-by-day. This is also one of the upcoming areas of interest among researchers of the Database Security. A technique earlier used for Image Watermarking is applied to watermark Relational Databases. In Image Watermarking technique, a pixel or a pair of pixels must satisfy certain characteristics. Usually, database watermarking techniques concentrate on hiding a watermark in database. Extraction and matching of hidden watermark with original watermark confirms ownership of database. This paper demonstrates the use of image watermarking technique for relational databases. Here we align some properties of attributes of database by changing some bit(s) in attribute value. Using secret key, we have ensured that values of two attributes of a tuples satisfy some bit-similarity property and to do so, we slightly alter values of attributes. Detection of such characteristic in a database using secret key can be done easily to verify the presence of a watermark.
Survey on security threats in mobile cloud computing
Authors: Iniyan S. , Senthilraja M. , Srinivasan R. , Palaniraj A.
Published: May 2018

Cell phones are turning into a basic piece of our day by day life because of most proficient and powerful specialized devices without time and space boundation. Everybody has a portable, tablet, tablet with calling office i.e. Fablet. Distributed computing (DC) has been broadly perceived as the cutting edge's registering foundation with the fast development of portable applications and the support of Cloud Computing for an assortment of administrations, the Mobile Cloud Computing (MCC) is presented as an incorporation of Cloud Computing into the Mobile Environment. Portable Cloud Computing is picking up stream. MCC is alluded to as the framework where both the information stockpiling and the information handling occur outside the cell phone. In MCC condition, Cloud Computing, Mobile Computing and Application confront a few difficulties like Mobile Computation Offloading, Seamless Connectivity, Vendor/Data Lock-in, Long WAN Latency, Live VM (Virtual Machine) relocation issues, Low Bandwidth, Energy-Efficient Transmissions and Trust-Security and Privacy Issues. In this paper, I have talked about around a few difficulties and issues identified with the Mobile Cloud Computing. This paper gives data about Mobile Cloud Computing Application, Security and Issues.
System capacity improvement by on demand channel allocation in Femto and macro cell networks
Authors: Bharagavi S. , Pv Banuprathap
Published: May 2018

Entire arrangement progress femtocells characterize a right likely response to the constantly increasing transmission constrain demand of adaptable areas. They could be clearly passed on without requesting a focal expecting to pass on the high information speed orchestrate through aim perfect scope. The Femtocells are low power, actuallesser and cost in real cell base district utilized in the inside condition. Regardless, the impact of the Femtocells is the introduction of the straight Macrocell structure indications impediment issue among the Femtocells also earlier Macrocellsby strategy for they can part of the similar approved rehash run. The Frequency Reuse is a centrality of sending the rehash supply distribution upon station's place to recuperate framework limit. This paper, a fit strategy to develop structure restrict through inter vent ionorganization in the current Femto Macro 2layer systems has been planned. In the planned system, a original rehash saving for 2layersthe cell organizes by systems for rehash reuse technique is utilized wherever Macro base placesallot rehash sub-groups portrayed out for the Femtocells operators on demand based one the Femtocells base places toward stop impedance.
A determinant fuzzy apparoach for intrusion detection system
Authors: Vimala S. , Khanna V. , Nalini C.
Published: May 2018

In MANETs, versatile hubs can impart transparently to each other without the need of predefined framework. Interruption location framework is a fundamental bit of security for MANETs. It is uncommonly convincing for identifying the Intrusions and for the most part used to supplement for other security segment. That is the reason Intrusion discovery framework (IDS) is known as the second mass of assurance for any survivable framework security. The proposed fluffy based IDSs for recognition of Intrusions in MANETs are not prepared to adjust up all sort of assaults. We have examined that all proposed fluffy based IDSs are seen as to a great degree obliged segments or qualities for data collection which is specific for a particular assault. So that these IDSs are simply recognize the particular assault in MANETs. The fluffy motor may perceive blockage from channel mistake conditions, and along these lines helps the TCP blunder discovery. Examination has been made on the issues for upgrading the steady quality and precision of the decisions in MANET. This approach offers a strategy for joining remote units' estimation comes to fruition with alliance information open or priori decided at conglomerating hubs. In our investigation work, the best need was to reduce the measure of information required for getting ready and the false alarm rate. We are chiefly endeavoring to improve the execution of a present framework rather than endeavoring to supplant current Intrusion recognition systems with an information mining approach. While current mark based Intrusion identification procedures have imperatives as communicated in the past region, they do even now give basic organizations and this normal us to choose how information mining could be used as a piece of a correlative way to deal with existing measures and improves it.
A headway methodology for online web-based social network against cybercriminal mining
Authors: Leela R.Josepine , Jayasree R.V. , Raj M. Krishna , Gopinath K.
Published: May 2018

Data mining is the way toward gathering information from various setting and condenses them into helpful data. Information mining can be utilized to decide the connection between inside elements and outside elements .It permits the clients to investigate, order and decides the connections deduced in them. Content mining as a rule alluded to as content information mining can be utilized be utilized to concentrate data from content. Content mining can be utilized as a part of data recovery, design acknowledgment and information mining systems. The presentation of online networking and interpersonal organizations has changed the open doors accessible for us as well as we should be careful about the dangers. Late explores demonstrate that the quantity of wrongdoings are expanding through online web-based social networking and they may bring about enormous misfortune to associations. Existing digital advancements are not viable to secure organizations. Existing mining techniques focus on dictionaries in which they can distinguish just a predetermined number of relations. Here a hereditary calculation approach is presented in which inert ideas can be removed. Hereditary Calculation is a straight pursuit which requires just little data from vast hunt zone.. At that point these ideas are subjected to separate the semantics which construes the comparing connections. Hereditary calculation gives a superior arrangement in which exactness and time effectiveness can be moved forward. The principle commitment of the paper demonstrates that they distinguish the relating cybercriminal systems.
E-mastering application utilizing pertinence heuristics evaluation for children
Authors: Lakshmi D , Ponnusamy R
Published: May 2018

Choosing ease of use assessment techniques (UEMs) to uncover convenience issues in e-learning projects is affected by time, cost, simplicity of use, and effectiveness. Heuristic assessment has turned into a generally acknowledged technique for ease of use assessment in programming improvement. This paper presents Heuristic Assessment for Tyke E-learning applications (HECE), an exhaustive arrangement of heuristics for kid e-learning alongside a definite clarification for the ease of use specialists on the most proficient method to apply them. These arrangements of heuristics depend on Nielsen's unique ten heuristics produced for programming. Nielsen heuristics are essentially nonexclusive, and won't not include ease of use credits particular to kids or e-learning. The new HECE set would conquer these weaknesses. The legitimacy and viability of these heuristics were assessed against two created e-learning programs composed by ReDSOFT for KG-2 and exceptional need understudies. The outcomes showed that HECE distinguished subjective likenesses and contrasts with client testing, and that HECE is most appropriate for assessing general and kid ease of use. Consolidated with client testing, HECE offers another track that can help with directing the kid e-learning industry to outline applications that are both instructive and pleasurable for youngsters.
Data mining techniques and algorithms in cloud environment a review
Authors: Rajamani K , Sheela D
Published: May 2018

Cloud Computing is resourceful in which computing resources are made available on- demand to the user as needed. Data mining is a process of discovering interesting patterns from a large amount of data. The difficulty is in collecting these data and carrying out compu-tations to get the significant information. Data mining techniques and applications can be effectively used in cloud computing environment. Data mining and the cloud computing are considered as major technologies. The data mining in cloud computing allows organizations to centralize the management of software and data storage. This paper provides a review of various data mining techniques and different types of algorithms in cloud computing which can be used for resource sharing.
Real time device control over voice recognition inoffline
Authors: Rukkumani C , Krishna Mohanta.S Dr , S Govindaraj
Published: May 2018

The consistent increase in the number and ownership population of mobile devices introduces a variety of limitations. A set of this limitations revolve around interactivity. The overly dependent haptic mechanism of interaction has caused device falls, slower time to interaction, health concerns, and limited support for the disabled among other problems. There is need to formulate innovative techniques that facilitate our interaction with these devices for users. In order to achieve this, a Real-time Voice Recognition Algorithm is formulated that lets users of mobile devices acquire freedom to move about and reduce the need for constantly glancing at their screen. This is achieved by allowing users to verbally command their devices to carry out ordinary tasks. An added unique feature is that it also offers offline access as any commands given by a user are processed and executed locally on the device.
Extraction of melanoma 3d features from tensor representation
Authors: S Sushmita N , Murtugudde Gururaj , Y Satheesha T
Published: May 2018

Melanoma is one of the unsafe growth to be dealt with too to recognize in introductory stage. Here we take the skin sore by ROI and after that we take out highlights of it then it should be sectioned whether the specific picture is malignant or not. In the event that it is destructive at that point group the extricated includes and examine about kind of stages. This paper presents a non-obtrusive electronic dermoscopy framework that considers the evaluated profundity of skin sores for determination. For test assessments, the PH2 and ATLAS dermoscopy datasets is considered. A novel 3D remaking calculation from 2D dermoscopic pictures is proposed. Here we remove the 3D highlights from tensor portrayal. The discovery of 3D picture shape and RGB are to be done. In this paper, we have proposed this work for 3D profundity parameter, which will improve the grouping rate.
Effects of pre-pregnancy maternal body mass index on gestational diabetes mellitus
Authors: Shirley Muller Priya , Nirmala M
Published: May 2018

The prevalence of both obesity and Gestational Diabetes Mellitus (GDM) is increasing worldwide. Overweight and obesity are abnormal or excessive fat accumulation that presents a risk to health. The presence of obesity has, in particular, a significant impact on both maternal and fetal complications associated with GDM. These complications can be addressed, at least in part, by good glycaemic control during pregnancy. The objective of the study is to classify GDM and non-GDM patients based on pre-pregnancy maternal Body Mass Index (BMI) and to assess and quantify the risk for GDM according to BMI.
Indian agritourism industry- an instrument of economic development
Authors: Bala Krishnan C , Radhikaa Shree M , Asrafi S
Published: May 2018

Tourism is also well recognized as an engine of growth in the various economics in the world. It has emerged as one of the largest global economic activities. Several countries have transformed their economics by developing their tourism potential. Tourism has great capacity to generate large scale employment and additional income source to the skilled and unskilled.As per the estimate of world Travel and Tourism council (W.T.T.C) tourism generated more than worth $5 trillion of output equivalent to about 8% of total world G.N.P India’s share of world tourist advent has been merely 4% W.T.T.O in its tourism vision 2020 has projected that there would be about 1.6 billion International tourists in all countries of the world by the year 2020. As per the same assessment India is expected to fuel 4.5 times growth international tourist destination thus playing a major role in the economy of the states.
Hiding audio file in video frames using wavelet technique
Authors: Raja R. Vinston , Senthamilarasi N. , Christal Mary S. Suma , Umashankar J. S.
Published: May 2018

Steganography derives covering private or enigma sound inside a transporter in impalpable way. In this paper we are wearing out avideo steganography calculation in context of Haar Integer Wavelet Transforms (IWT) and extraction in luminance and chrominance (YCbCr) bits of the video records. In this approach, the cover-video is disconnected into YCbCr charts and the sound perfectly healthy is implanted into the IWT coefficients. The presented sound is expelled from stego-video utilizing the switch method of information disguising. Haar wavelet change is related with get the low rehash sub-band in a photograph to cover information. The rehash sub-packs are (LL, LH, HL and HH).The work of different scientists is talked about video steganography and their strategies for embeddings and extraction of information. With the advance of progression and mixed media data, Videos and electronic pictures is expanding rapidly. A tremendous measure of data can be secured in video documents. It contains number of edges played over some dubious time apportioning. .Data can be secured in any or number of edges. Also, Attacker or Human eye can't see the closeness of message in video since video plot is unmistakable for a little measure of time.
A GA trained ANN model for maximum power point tracking in solar photo voltaic systems
Authors: Rajaji V. Dega , Sekhar K. Chandra
Published: May 2018

Sunlight based vitality is one of the imperative segment of sustainable power source assets and reaping of sun oriented vitality is an actually difficult assignment. Sunlight based PV cells display non liner conduct and their execution is affected by an assortment of components. Fluctuating insolation and temperature assumes a critical part in characterizing the working purpose of the PV cell. Most extreme Power Point Tracking (MPPT) calculations are important to amplify the yield control. The target of getting MPP in PV frameworks is to manage the real working voltage of PV boards. The fundamental reason for acquiring MPP in PV frameworks is to direct the real working voltage of PV boards. In this paper a Genetic Algorithm (GA) –Artificial Neural Network (ANN) MPPT approach is presented. GA is employed to adaptively change the weights during the course of ANN training. The proposed approach is validated by comparing its performance against a data set which contains voltages forecast by ANN approach, Adaptive Neuro Fuzzy (ANFIS) approach and reference voltage obtained through mathematical modeling. The results demonstrate the suitability of the proposed approach in maximum power point tracking through its better performance when compared to the other two approaches. Pearson product-moment correlation has also been calculated to compare the correlation between the predicted voltage and the reference voltage.
Content Characteristics Based Robust Watermarking for Relational Database: A New Approach to Database Security
Authors: Kumar Manoj , P. Verma O
Published: May 2018

Digital data such as text, relational database, audio, video and software are intellectual property of creators/ writers/owners. The database services have become easily available and economical since the booming of internet. However, their outsourcing through the internet accompanies multiple threats like copying, modifying as well as unauthorized distribution. Relational Database has a wide-spread use in many real-life applications, hence, it is essential to maintain integrity and provide copyright protection. To counter the threats, watermarking techniques have been playing a vital role since the last decade. As a security measure, Relational Database Watermarking is becoming more popular and strengthened day-by-day. This is also one of the upcoming areas of interest among researchers of the Database Security. A technique earlier used for Image Watermarking is applied to watermark Relational Databases. In Image Watermarking technique, a pixel or a pair of pixels must satisfy certain characteristics. Usually, database watermarking techniques concentrate on hiding a watermark in database. Extraction and matching of hidden watermark with original watermark confirms ownership of database. This paper demonstrates the use of image watermarking technique for relational databases. Here we align some properties of attributes of database by changing some bit(s) in attribute value. Using secret key, we have ensured that values of two attributes of a tuples satisfy some bit-similarity property and to do so, we slightly alter values of attributes. Detection of such characteristic in a database using secret key can be done easily to verify the presence of a watermark.
Review on Upcoming Innovative Technology in Big Data
Authors: Therasa M , M. Poonkuzhali S , Santhana Joyce M , Annie Shery S
Published: May 2018

This paper is a survey of the big data idea, its measurements, its design correlation between the prior idea and the most recent, the capacity conceivable i.e. the databases and starting point of enormous information. The social database, having unbending pattern, has been winning since quite a while yet it is hard to store the unstructured information in social database. The unstructured information has principally message nature or is as logs. Here comes the idea of No SQL databases. Enormous Data is little information with huge information estimate.
Hybrid harmony search algorithm & fuzzy logic for solving unit commitment problem with wind power uncertainty
Authors: P. Varghese Mary , Amudha A.
Published: May 2018

This work spotlights on fuzzy logic and hybrid harmony search algorithm based framework for solving the unit commitment problem in any electric utility. Here, the selection of fuzzy logic is because of its qualitative representation ability with respect to input attributes, cost-effective operating agenda and all the calculations of feasible schedules. A three-unit system is assumed here, to compute the above-mentioned aspects. In recent days, the meta-heuristic optimization algorithms are constructed because of its zero utilization and storage for making the search procedureas effective. Hybrid harmony search algorithm searches whether the load demand is met or not. If it is not satisfied an error is developed. The error and change in error is fed input to fuzzy logic unit. The output of fuzzy logic unit is given to a breaker. The breaker will cut off the system is the power output is more and if the power output is less than the required value additional power is fed to the system. Constant ouput power is thus maintained. To test and prove that the proposed HHS-FLresults a superior optimization, performance by analyzing the wind speed in Coimbatore region. The experimental results demonstrated that the proposed model is efficient even if the windgets changed and all simulations was performed with MATLAB.
A survey on existing IP trace back mechanisms and their comparisons
Authors: Shariff Vahiduddin , Ramya K Ruth , Renuka Devi B , Bhattacharyya Debnath , Kim Tai-hoon
Published: May 2018

Security is the one of the main point of focus in recent trends of computer science, as it has to determine the right people accessing the system and ones who are trying the bypassing it. IP spoofing is one of the prevalent attacks, where the attackers launch the attack by spoofing the source address, once this happens they can attack without revealing their exact location. The attacker uses a fraudulent IP address to conceal their identity. To reveal the attackers real locations many IP trace back mechanisms have been proposed but the attacker immediately gets away with the information. There is another problem which is to detect DDoS traffic and the precarious packets set up by the attacker, which are a threat to the victim as well as the whole network, here lies another hurdle which is to differentiate between the attacker’s data traffic from the normal data traffic. There are many solutions given for this but one among them is IP trace back which already has researched upon in the past and implemented then, but what is lacking in the solution such that the attacks are even now taking place. IP trace back if modified, strengthened would analyze the traffic faster and trace out the attacker with a faster pace, which is why a hybrid IP tracing and tracking mechanism if introduced could ease the current problem.
Utilization of Sustainable Materials to Enhance Geotechnical Characteristics of Soils
Authors: Subba Rao, G.V Rama
Published: May 2018

Geotechnical engineering can noticeably affect the sustainability of infrastructure development because of its beginning place in the construction practice. Utilization of waste materials for enhancing properties of the soil is a wise choice and is also one step towards accomplishing sustainable development. Application of by-products (viz., flay ash and rice husk ash) which could be defined as “sustainable materials”, find special place in the modern-day soil stabilization and modification exercise. The preset paper aims at enhancing properties of expansive soil with inclusion of industrial by-products namely Rice Husk ash and Fly Ash. Further the present paper focuses on improving geotechnical characteristics of fine sand upon reinforcing with ground shredded rubber tire. Fine sand has a low angle of internal friction and which in turn has low shear strength. Reuse of waste materials is one area of research which attempts to makes geotechnical engineering practice sustainable.
A Study on Volume, Speed and Lane Distribution of Mixed Traffic Flow by using Video Graphic Technique
Authors: Prakash Koganti Shyam , Hemantha Raja Kommineni , Sajja Satish , Sai Narendra M
Published: May 2018

Lane Distribution Factor (LDF) is an integral part of load calculations on urban and rural highways. LDF describes the distribution of vehicular traffic across the roadway. It depends on the traffic composition, speed and volume, origin destination patterns of drivers etc. LDF is developed for transportation planners and highway engineers based on an estimation of macro level utilization of each lane by the total traffic volume. The above information is absolutely necessary to understand the fatigue behaviour of the pavements through number of probable applications of wheel loads on a portion of the pavement which also decides the required thickness. Accordingly, the IRC: 37 - 2012 suggested a set of Lane Distribution Factor for use in the design of flexible pavements. A Two lane road and an Intermediate lane road in urban environment are evaluated using Video Graphic technique. Analysis is carried out for the collected data and the results are also presented in detail for each category of vehicles. Lane distribution factors and Directional distribution factors are developed for both Two lane and Intermediate lane roads.