bluuebunny/crossref_metadata_2025 huggingface dataset:
Scene Labeling using H-LSTM by Predicting the Pixels using Various Functions
Authors:   Assistant Professor, Oxford Engineering College, Trichy, Tmailnadu, India., Shanmugapriya* N. , Chitra Dr. D. ,   Professor and Head, Department of Computer Science and Engineering, P.A. College of Engineering and Technology, Pollachi, Tmailnadu, India.
Published: October 2019

Scene Labeling plays an important role in Scene understanding in which the pixels are classified and grouped together to form a label of an image. For this concept, so many neural networks are applied and they produce fine results. Without any preprocessing methods, the system works very well compared to methods which are using preprocessing and some graphical models. Here the neural network used to extract the features is Hierarchical LSTM method, which already gives greater result in Scene parsing in the existing method. In order to reduce the computation time and increase the Pixel accuracy H-LSTM is used with Makecform and Softmax functions were applied. The color transformation is applied using the Makecform function. The color enhancement of images has given object as input to H-LSTM function to identify the objects based on the referential shape and color. H-LSTM constructs the neural network by taking the reference pattern and the corresponding label as input. The pixels present in the neighbourhood identified with the help of neural network. In this method, the color image is converted into greyscale and then the Hierarchical LSTM method is applied. Therefore, this method gives greater results when it is implemented in Matlab tool, based on pixel accuracy and computation time when compared to other methods.
Improved Framework for Bug Severity Classification using N-gram Features with Convolution Neural Network
Authors:   Department of Computer Science, NITTTR, Chandigarh, India., Kaur* Sarbjeet , Dutta Maitreyee ,   Department of Information Management and Co-ordination Unit,
Published: October 2019

Foreseeing the seriousness/severity of bugs has been established in former research study in order to recover triaging and the process of bug resolution. Therefore, numerous prediction/classification methodologies were developed throughout the years to give an automated reasoning over the seriousness classes. Seriousness or severity is a significant trait of a bug that chooses how rapidly it ought to be measured. It causes designers to comprehend significant bugs on schedule. Though, manual evaluation of severity is a dreary activity and could be off base. This paper comprises of using the text/content mining together along with the use feature selection and bi-grams to improve the order of bugs in six classes. In the proposed methodology the features are refined by the use of convolution layers. Here, the process of convolution-based refining indicates mapping of the features utilizing non-linear methods of all the classes as compared to the existing methodologies.
Implications of Deep Learning-Based Methods for Face Recognition in Online Examination System
Authors:   Assistant Professor, Department of Computer Science, Dr. D. Y. Patil ACS College, Pimpri, Pune, India., Patil* Ms. Sujata , Sharma Dr. Yogesh Kumar ,   Associate Professor, and Research Coordinator, Department of Computer Science and Engineering, Shri JJT University, Jhunjhunu, Rajasthan., Patil Dr. Ranjit D. ,   Vice-Principal, and H.O.D, Dr. D.Y. Patil ACS College, Pimpri, Pune, India.
Published: October 2019

In the recent era, the importance of surveillance-related applications is increasing rapidly. In such applications, Face Recognition is becoming an emerging, fast-growing research field in the security authentication systems. Face recognition becomes one of the biometric techniques for identifying individuals face in digital images or in the stored image. It has various applications in biometrics, military, video surveillance and so on. In an earlier age, face recognition techniques implemented using a traditional approach like holistic based, hybrid and feature-based. In the traditional system, there are a number of issues like light illumination, occlusion problem, different facial expressions, and poses of the particular individual. These factors are affecting the accuracy and efficiency of the face recognition system. Nowadays there is an advancement in the technology and methods which are used in the face recognition system. The new methods and techniques of face recognition are devised by deep learning methods. The research focuses on a proposed model developed by using some Deep Learning methods and frameworks for face recognition. This model plays an important role in the authentication of an individual in the online examination system in educational institutes. Multi-level authentication is used for authenticating individual and to have crosschecked over throughout the examination period. The Deep Learning methods and frameworks overcome the issues raised in face recognition by traditional methods. This proposed model used for the authentication of an individual in educational institutes where online examinations are conducted.
Stock Market Prices Prediction using Random Forest and Extra Tree Regression
Authors:   Research Scholar, Dept Of CSE, University college of Engineering, JNTU Kakinada, East Godavari, AP, INDIA.., Polamuri* Subba Rao , Srinivasi Dr. K. ,   Professor, Dept Of CSE, V R Siddhartha Engineering College, Vijayawada, INDIA, Mohan Dr. A. Krishna ,   Professor, Dept Of CSE, University college of Engineering, JNTU Kakinada, East Godavari, AP., INDIA.
Published: October 2019

Prediction of Stock price is now a day’s an existing and interesting research area in financial and academic sectors to know the scale of economies. There did not exists any significant set of rules to estimate and predict the scale of share in the stock exchange. Many evolutionary technologies are existing such as technical, fundamental, time, statistical and series analysis which help us to attempt the prediction process, but none of the methods are proved as reliable and accurate tool to the society in the estimation of stock exchange or share market scales. Here in this paper we attempted to do innovative work through Machine Learning approach to predict or sense the behaviour tracking of the stock market sensex. Linear regression, Support Vector regression, Decision Tree, Ramdom Forest Regressor and Extra Tree Regressor are the Machine Learning models implemented effectively in predicting the stock prices and define the activity between the exchanges the securities between the buyers and sellers. We predicted the price of the stock based on the closing value and stock price. An algorithm with high accuracy we do the process of comparison for the accuracy of each of the model and finally is considered as better algorithm for predicting stock price. As share market is a vague domain we cannot predict the conditions occur, and also share market can never be predicted, this job can be done easily and technically through this work and the main aim of this paper is to apply algorithms in Machine Learning in predicting the stock prices.
Thermophysical and Ultrasonic Properties on Magnesium Oxide
Authors:   Assistant Professor,Deptt.of Physics,Amity university,Noida-India., Srivastava* Dr U C , Singh Dr S P ,   Assistant Professor,Deptt.of Physics, Swami Vivekanand Govt.P.G. College, Lohaghat, Champawat , Uttrara khand, India,
Published: October 2019

In present manuscript phonon dynamics of alkaline-earth oxides, MgO by including the three-body interconnections in the framework of ‘van der Waals three-body force shell model’ (VTBFSM) is based on my thorough theoretical study of the relevant research papers on this topic. The studies of lattice energy and other properties made by Huggins and Sakamoto [1] .The instigate work of Kellerman [2] for lattice dynamics of the alkali halides has provided attentive theoretically as well as experimentally. The thermal properties, densities of states (DOS), structure analysis, direction-dependent ultrasonic velocities and Debye velocity of magnesium oxide have been evaluated in present investigation. However, a considerable improvement in computational results has been obtained by the use of the present model and successfully predicted the lattice dynamic of MgO for the study of bulk thermo-elastic properties. The results of this investigation are discussed successfully with available experimental data.
Predicting Travel Behaviour of International and Domestic Tourists using Big Data
Authors:   Research Scholar, Department of Computer Science and Engineering, School of Engineering & Technology, Sri Padmavati Mahila Visvavidyalayam, 517502, Andhra Pradesh, India, Padmaja* N. , Sudha T. ,   Professor, Department of Computer Science, Sri Padmavati Mahila Visvavidyalayam, 517502, Andhra Pradesh, India
Published: October 2019

Tourism is one of the most important sectors contributing towards the economic growth of India. Big data analytics in the recent times is being applied in the tourism sector for the activities like tourism demand forecasting, prediction of interests of tourists’, identification of tourist attraction elements and behavioural patterns. The major objective of this study is to demonstrate how big data analytics could be applied in predicting the travel behaviour of International and Domestic tourists. The significance of machine learning algorithms and techniques in processing the big data is also important. Thus, the combination of machine learning and big data is the state-of-art method which has been acclaimed internationally. While big data analytics and its application with respect to the tourism industry has attracted few researchers interest in the present times, there have been not much researches on this area of study particularly with respect to the scenario of India. This study intends to describe how big data analytics could be used in forecasting Indian tourists travel behaviour. To add much value to the research this study intends to categorize on what grounds the tourists chose domestic tourism and on what grounds they chose international tourism. The online datasets on places reviews from cities namely Chicago, Beijing, New York, Dubai, San Francisco, London, New Delhi and Shanghai have been gathered and an associative rule mining based algorithm has been applied on the data set in order to attain the objectives of the study.
Economic Load Dispatch in Power System by Hybrid Swarm Intelligence
Authors:   Department of Electrical Engineering ,M.Tech Research Scholar, Alakh Prakash Goyal Shimla University, Mehli Shoghi Bypass Road, Shimla-171009, Himachal Pradesh (India)., Giri* Shashi Kant , Mohan Anand ,   Department of Electrical Engineering, Professor, Alakh Prakash Goyal Shimla University, Mehli Shoghi Bypass Road, Shimla-171009, Himachal Pradesh (India)., Sharma Arun Kumar ,   Department of Electrical Engineering, Assistant Professor, Alakh Prakash Goyal Shimla University, Mehli Shoghi Bypass Road, Shimla-171009, Himachal Pradesh (India).
Published: October 2019

Conserving energy and efficient power systems are very important for us to reduce pollution levels and also reduces wasted fuel resources which are already depleting on the planet. In power operation system, the potential of energy conservation and also much less emission of greenhouse gas because of the wise usage of cleaner non-renewable fuels burned in combined heat and power (CHP) models like the natural gas which provide them benefit from the usual electric power systems. Mixed generator systems have been widely employed by the industry. The industry which requires both power and heat can supply the demands with cogeneration of heat-power systems. Co-generation (CHP) systems could be constructed in cities and used in the form of distributed electricity sources. To get the optimal usage of CHP devices, economic load dispatch (ED) should be requested more for the process of energy conservation. Economic load dispatch plays a vital role and a large number of different approaches and methods have been used in solving such kind of problems. The methods like lambda-iteration and Gradient are used for finding out the optimized solution of non-linear problem. The purpose of this thesis is to utilize the algorithmic optimization approaches like particle swarm optimization (PSO), genetic algorithm (GA) and PSO-GA. In this work, the method of PSO-GA Optimization is used to find out the minimized cost at four of the generating units of heat and power. The base of the work is already published where in the loss coefficients are also presented with max-min cost function and power limit. This work is implemented in the MATLAB simulation environment. The work starts by initializing the load/power and then generators load power flow. The generators are allocated to initialize the cost and this cost is optimized by PSO with GA. At the end the experimental results of GA ,PSO and PSO-GA algorithm is equated with each other and it seems better convergence is achieved by PSO-GA Algorithm.
An Efficient Signcryption Scheme for Secure Authentication using Hyper Elliptic Curve Cryptography and Keccak Hashing
Authors:   Dept of CSE, Kongu engineering college, Perundurai, Erode, India., Rajasekar* Vani , Premalatha Dr.J. ,   Dept of IT, Kongu engineering college, Perundurai, Erode, India., Sathya K. ,   Dept of CT/UG, Kongu engineering college, Perundurai, Erode, India.
Published: October 2019

The need for security is a challenging task nowadays due to the transition from wired to wireless networks, emergence of Internet of Things (IoT), Mobile Networks, Wireless Sensor Networks (WSN) and Radio Frequency Identification System (RFID). Generally wireless systems are prone to insecurity and resource (power) constraint, to deal with these challenges many solutions has been proposed in cryptography. One such important development is light weight cryptography particularly signcryption.Signcryption is a logical combination of digital signature and encryption in a single step therefore the cost of communication and computation is very less compared to the existing signature then encryption scheme. Till date many signcryption techniques were raised based on El-Gamal, RSA and Elliptic Curve Cryptography (ECC). The proposed research work highlights the limitations of existing signcryption based on ECC and it proposes the efficient light weight cryptographic scheme of signcryption based on Hyper Elliptic Curve Cryptography (HECC) and Keccak hashing. Further the proposed research work achieves all the security metrics such as confidentiality, integrity, non- repudiation, forward secrecy and public verifiability.
Extraction and Characterization of Biofuel from Industrial Waste organic Pupae-Silkworm
Authors:   Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST (Deemed to be University), India, R* Ravikumar , kumar M Harish ,   Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST (Deemed to be University), India., K Kiran ,   Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST (Deemed to be University), India., Hebbar Gurumoorty S ,   Department of Mechanical and Automobile Engineering, Faculty of Engineering, CHRIST (Deemed to be University), India.
Published: October 2019

The current work carted out of analysis on the production of fuel from pupae fat extracted from silkworm, and exhaustive investigations were conducted to determine the characteristics of obtained fuel and its blends. The oily organic compounds derived from silkworm is effectively adopted to produce biofuel. The soxhlet extractor is utilized here to separate the oil content from pupae and obtained oil processed into biofuel by undertaking the transesterification process using NaOH as a fast reactive agent along with methanol. The rate of biofuel derived from pupae oil has been noticed to be 65- 70 by vol%. The extracted fuels from the transesterification process were mixed with high-speed diesel at a rate of B10, B20, B30 and B40 on volume base. The most important physical and chemical characteristics of generated fuel and their mixture with conventional diesel were examined. The investigation results reveal that the fuel sample B20 satisfies all the requirements of ASTM standards. Pure biofuel shows that the lesser heating value, higher KV, flash point, fire point and density than that of conventional diesel. The blended samples reveal that all the properties are keep moving towards higher value with an increasing percentage of biofuel presence except calorific value. Finally results in evidence that, well suitable biofuel can be generated from organic waste material like silkworm and effectively use it in practical applications.
Gas Condensate Stabilization Methods: Optimum Operating Conditions
Authors:   Chemical Engineering and petroleum refining department, Suez University, Alsharkia, Egypt., Samir* Ahmed , Ali Nadia ,   Chemical Engineering and Petroleum Refining department, Suez University, Suez, Egypt., Ali Said ,   Chemical Engineering and Petroleum Refining department, Suez University, Suez, Egypt.
Published: October 2019

Gas condensate is a hydrocarbon mixture. It could be converted to petroleum products like jet fuels and gasoline or used as a fuel. Processing of the condensate should be done to meet the storage and transportation standards. Reid Vapor Pressure (RVP) is used to determine the condensate vapor pressure and it must be in the range that doesn't allow the light components to separate as a gas phase in the storage tanks or transport pipelines. The optimum value of Reid Vapor Pressure in winter is usually 12 psia and in the summer is 10 psia. In our case study, we tried to find the optimum operating conditions for a current condensate stabilization unit as the Reid Vapor Pressure of the produced condensate is high and the plant is suffered from high gases emissions from the storage tank besides the problems which faced during condensate shipping. The current technique of condensate stabilization which is already used is flash vaporization technique. This study will show if this method is practical in the current conditions or applying the other method of fractionation (distillation) will be more practical or economic. That will help how to choose the practical method for your case. It is shown from the results that one of the methods or both of them could be practical. That is depending on the properties of feed that need to be stabilized. In general, the distillation method is preferred more than the flash vaporization method.
Implementation of Seven Finger RAKE Receiver using MRC Technique
Authors:   Dept. of ECE, University college of engineering and technology, Acharya Nagarjuna University, Nagarjuna Nagar, Guntur, India., Kavya* D. Sri , Siddaiah Dr. P. ,   Principal, University college of engineering and technology, Acharya Nagarjuna University, Nagarjuna Nagar, Guntur, India.
Published: October 2019

The radio receiver that counters the effects of the multipath fading is known as a rake receiver. Rake receiver used to combine the multipath signals by number of ‘sub receivers’ known as ‘fingers’. Rake receiver uses a multipath diversity principle; it rakes the energy from the multipath propagated signal components. This paper gives the review on implementation of MRC (Maximal Ratio Combining) for the seven fingers rake receiver. It gives the same information to receiver as transmitter, it eliminates the multipath fading and the time offset estimation to seven fingers of rake receiver. In the simulation results we observed that both the signals that is input and output signal resembles the same with the help of MRC.
A Novel Multi-Parameter Tuned Optimizer for Information Retrieval Based on Particle Swarm Optimization
Authors:   CSE Department, Bharati Vidyapeeth’s College of Engineering New Delhi India and ASET Amity University Uttar Pradesh, Noida, India., Thakur* Narina , Mehrotra Deepti ,   IT Department ASET Amity University Uttar Pradesh, Noida, India., Bansal Abhay ,   CSE Department, ASET Amity University Uttar Pradesh, Noida, India., Bala Manju ,   CS Department, IP College for Women, Delhi University, Delhi.
Published: October 2019

Tuning multi-parameter and parameter optimization in Information Retrieval has been a huge area of research and development, especially with BM25F scoring functions having a 2F+1 feature with F fields in the documents. The scoring and ranking function conventionally uses multiple input parameters, to augment the quality of results even at the value of huge calculation time. The searching and ranking documents in the medical literature encompass high recall rates, which are difficult to satisfy with multiple input parameters. The performance of the BM25F depends upon the choice of these F parameters. Particle Swarm Optimization (PSO) searches through the solution- space independently and discovers an optimal solution as opposed to improving and optimizing the gradient; henceforth it can straightforward optimize Mean Average Precision (MAP) a non-differentiable function. In this paper, the usage of PSO to tune multi-parameters is proposed to deal with the gaps in BM25Fscoring function. Also, the advantage of the proposed technique by directly optimizing the MAP has been discussed. Experimental results of quantitative performance metrics MAP and Mean Reciprocal Rank of the proposed PSO-optimized BM25F and most recent ranking algorithms have been compared. The performance measure results demonstrate that the proposed PSO-optimized BM25F performance measure outclasses the standard ranking methods for the OHSUMED data set.
Combined Influences of Particular Exercises with Digital Equipment Practices on Selected Skill Variables and Overall Playing Ability of Badminton Novice Players
Authors:   Assistant Professor, Faculty of General & Adapted Physical Education and Yoga(FGAPEY), Ramakrishna Mission Vivekanada Educational and Research Institute (RKMVERI) Periyanaickenpalayam Coimbatore - 641020,Tamil Nadu, India., Ramajayam* Dr. M.
Published: October 2019

To attain the aim of the research thirty badminton novice players were taken from Maruthi sports training centre, Periyanaickenpalayam ,CBE. The age of the subjects between 13 -16 years. The subjects are divided in two groups with equal number of novice players. Training group-I with (n=15) novice players were given particular exercises with digital shuttle feeding machine practices with 12 weeks continuously, weekly 5 days allowed for practices given. other group-II acted with their regular activities. The training group tested on skill components like long service, short service and overall playing ability. The selected criterion variables long service was tested Poole long service, short service was tested with French short service and overall playing ability was tested with qualified judges. The collected scored of test before and after the training have taken for statistical analysis with paired ‘t’ test and ANCOVA. The significant level is fixed 0.05. The outcomes of the research showed that training group improved selected skill components like long service, short service and all efficiency ability was due to the combined influences of particular exercises with digital shuttle feeding machine practices programme. The second group which one acted with regular activities did not show any improvement on selected skill components with overall playing ability of badminton novice players.
Alzheimer’s Disease Classification using Leung-Malik Filtered Bank Features and Weak Classifier
Authors:   Research Scholar, Department of Electronics and Communication Engineering, Acharya Nagarjuna University Guntur, Andhra Pradesh, India, Basheera Shaik , Ram Dr M Satya Sai ,   Associate Professor, Department of Electronics and Communication Engineering, RVR&JC College of Engineering Guntur, Andhra Pradesh, India.
Published: October 2019

We propose a frame work to classify Brain MRI images in to Alzheimer’s Disease (AD), Cognitive Normal (CN) and Mild Cognitive impairments (MCI). We use 114No’s of T2 weighted MRI Volumes. We extracted relative texture features from Leung-Malik Filter bank, k means is used to generate Bag of Dictionary (BoD) from LM Filtered images. We performed binary classification and Multi class Classification using different Classifiers, Adaboost Classifier gives better performance both in binary and multi class classifications in comparison with other classifiers. Performance of proposed system is enhanced than compared to the existing techniques. It has Sensitivity for AD-CN 89.8, AD-MCI 78.82, AD-CN-MCI 77.77, Specificity for AD-CN79.22, AD-MCI 80.00, AD-CN-MCI 58.88, and positive prediction value for AD-CN 79.48, AD-MCI 83.75, AD-CN-MCI 68.47 and Accuracy AD-CN 84.24, AD-MCI 79.33, AD-CN-MCI 72.88.
Performance Evaluation of Genetic Algorithm & Fuzzy Logic for Portfolio Optimization
Authors:   Department of Mathematics, Maulana Azad National Institute of Technology, Bhopal (M.P.), India, Panwar* Darsha , Jha Manoj ,   Department of Mathematics, Maulana Azad National Institute of Technology, Bhopal (M.P.), India, Srivastava Namita ,   Department of Mathematics, Maulana Azad National Institute of Technology, Bhopal (M.P.), India
Published: October 2019

Teaching-learning based optimization (TLBO), biogeography-based optimization (BBO) and fuzzy multi-objective linear programming (FMOLP) are compared in this paper for portfolio optimization. A hybrid approach has been adopted for this comparative study which is a combination of a few methods, such as investor topology, cluster analysis, analytical hierarchy process (AHP) and optimization techniques. Return, risk, liquidity, coefficient of variation (CV) and AHP weighted scores are used as the objective function for optimization.
Diffusion of Fillers in the Structure of Chrome Leather and the Impact on Their Air and Water Performance
Authors:   (Bukhara, Uzbekistan) – PhD student of Bukhara Engineering – Technological Institute, Bukhara city, K. Murtazaev, Shokhrukh* Shoyimov , Тulkin Kodirov ,   Professor, Department of Constructing and technology of leather goods, Tashkent institute of textile and light Industry
Published: October 2019

The main results of the study of the diffusion of fillers in the structure of chrome leather are presented. The effect of fillers on the air - and water permeability of leather is shown. The products of protein hydrolyzate of chrome-plated leather wastes and modified protein hydrolysates with acrylic acid and plasticized with glycerin were prepared. Leather prototypes are filled with protein hydrolyzate products. The control leather is filled with barium chloride, molasses and potassium alum. The diffusion of the fillers of experimental and control samples of leather with both the front and the bahtar side was investigated. The water resistance of the leather treated with the studied fillers confirms that repeated cycles of watering and drying of the leathers practically do not change the indicators of wettability. Uniform diffusion is observed when using barium chloride and alumino-potassium alum. In the leather samples of used molasses, its uneven distribution over the thicker leather and salinity is observed. The porosity of the prototypes of the leather and, consequently, their air permeability after filling is reduced in comparison with the control samples.
An Insightful Foray into Odisha’s Education Sector
Authors:   Research Scholar, School of Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India., Ahya* Ms. Nikita , Samanta Dr. Achyuta ,   Founder, KIIT & KISS, Deemed to be University, Bhubaneswar, Odisha, India., Misra Dr. Satya Narayan ,   Dean, School of Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India.
Published: October 2019

Gross Enrollment Ratio (GER) has witnessed a significant improvement in primary education in Odisha; thanks to the Right to Education (RTE) Act and Sarva Shiksha Abhiyan (SSA) initiative. While Odisha lags behind the better performing states like Kerala, Tamil Nadu& Maharashtra in terms of infrastructure and enrolment, the overall quality remains dismal as per the independent survey of Annual Status of Education Reports (ASER). The paper brings out how an extremely alienated section of the society receives the tender care of inclusive education and empowerment in a centre called Kalinga Institute of Social Sciences (KISS) in Odisha, which can form a templates for emulate, all over the country. The paper laments the tendency to outsource, basic education, which is a merit good, to the private sector, which can at best cater to the needy of the affluent few. There is a need to significantly bolster public allocation to primary education, invest it with the highest priority for capability development in future to improve India’s HDI. The quest for high growth rates, must give way to inclusive growth, which puts a premium on public investment quality teaching through suitable training, pedagogical training, IT familiarity of the teachers.
Neuro Fuzzy Controllers Based Multipath Routing Technique in Mobile Adhoc Networks (MANETs)
Authors:   Assistant Professor, Department of Electronics and Communication Engineering, Government College of Engineering, Bargur, Tamilnadu, India., Kannan* V.Rajesh , Charles Dr.A. ,   Assistant Professor, Department of Electronics and Communication Engineering, Government College of Engineering, Bargur, Tamilnadu, India.
Published: October 2019

Mobile ad hoc networks (MANETs) comprise a set of wireless mobile nodes that communicates data between them with no infrastructure. The nature of restricted communication range of wireless network nodes leads to the requirement of multi-hops to communicate data in the network. Multipath routing discovers many routes among an individual source and destination. MANET possesses a network that has a tendency to change its structure frequently; hence the task of accomplishing a prescribed number of pathways between a prescribed source and destination nodes appears to be tedious. A new Neuro fuzzy oriented routing algorithm in MANET (NFRA) has been proposed in this work. The ultimate objective of the NFRA algorithm is to suitably create the fuzzy type controllers with the aim of minimizing the quantity of reconstructions in the wireless ad hoc network. The obtained simulation results have been found to portray both the efficiency and effectiveness of the applications incorporated into the Mobile ad hoc networks.
Aspect Category Extraction for Sentiment Analysis using Multivariate Filter Method of Feature Selection
Authors:   Research Scholar, Department of Computer Science & Engineering, Sathyabama Institute of Science & Technology, Chennai, India., Bhamare* Bhavana R. , Jeyanthi P. ,   Department of Information Technology, Sathyabama Institute of Science & Technology, Chennai, India., Subhashini R. ,   Department of Information Technology, Sathyabama Institute of Science & Technology, Chennai, India.
Published: October 2019

Aspect-oriented sentiment analysis is done in two phases like aspect term identification from review and determining related opinion. To carry out this analysis, features play an important role to determine the accuracy of the model. Feature extraction and feature selection techniques contribute to increase the classification accuracy. Feature selection strategies reduce computation time, improve prediction performance, and provides a higher understanding of the information in machine learning and pattern recognition applications etc. This work specifically focuses on aspect extraction from restaurant review dataset but can also be used for other datasets. In this system, we proposed a multivariate filter strategy of feature selection which works on lemma features. This method helps to select relevant features and avoid redundant ones. Initially, the extracted features undergo preprocessing and then the “term-frequency matrix” is generated which contains the occurrence count of features with respect to aspect category. In the next phase, different feature selection strategies are applied which includes selecting features based on correlation, weighted term frequency and weighted term frequency with the correlation coefficient. The performance of weighted term frequency with correlation coefficient approach is compared with the existing system and shows significant improvement in F1 score.
An Efficient Void Routing in Geo-Graphics Routing Networks Depend on Virtual Co-Ordinates in WSN
Authors:   Assistant Professor, Dept. of IT, SNIST, Hyderabad, Telangana, India, S* Nirupama , Bhutada Dr.Sunil ,   Professor, Dept. SNIST, Hyderabad, Telangana, India
Published: October 2019

For overcoming the obstacle of void routing on Geo-graphical routing, maximum controlling overheads and transmissions delayed have been used over wireless sensors network. Impress with the structures of composing edges node is don’t void routing, an adequate bypassings routings void protocols depends upon the virtual coordination is proposed. The simple ideas over the protocols is to sends a randomly structures of void edge over the regular once using mapping by edges node coordination into a virtual cycle. By using the virtual cycle, we can avoid the greedy forwardings from fail, such that there will not be routings void in forwardings protocols from sources to destinations and we can reduce the controlling overheads. Further, we can reduce the common lengths of routings path and minimize the transmissions delaying by using the virtual circle. Simulation highlights the higher delivery ratios; shorten the paths lengths, low controlling packets overheading and very less energies consumptions.
Modeling and Evaluation of EDM Process Parameters using Taguchi Method and Fuzzy Logic Technique
Authors:   Mechanical engineering department, Anurag group of institutions, Hyderabad, India., Rajender* O. , Krishna K. ,   Mechanical engineering department, Anurag group of institutions, Hyderabad, India., Krishnaiah Dr. T. ,   Mechanical engineering department, Anurag group of institutions, Hyderabad, India.
Published: October 2019

In present day years, the mechanical results no longer call for high exactness and incredible, anyway furthermore should be created in negligible time to help inside the fairly forceful commercial center. Subsequently it's far required to accomplish the exact yield by method for following the framework and parameters according to the necessity. The information parameters play imperative position in making sense of the surface harshness, instrument put on rate and also material end cost. Among the various machining procedures of EDM is one of the most extreme pleasant substitutes for the business because of its pleasant astounding of no touch between the apparatus and work piece. In the predominant watch the unmistakable writing assess of various contemporary machining procedures is brought. The prevalent center is at the displaying normal for assorted parameters of the EDM methodologies and therefore just such research works are secured in this work wherein the use of favors demonstrating procedures come to be finished. This assess look at has been ordered in accordance with special framework as EDM and different total and ventured forward assessment. The assess depictions on relating immense scale was presently not endeavored early by means of thinking about numerous methodology at once, and in this manner, this assess work may likewise wind up the prepared data at one region and it might be very utilizing full for the ensuing specialists to decide their course of studies.
Revival of Indian Telecom PSUs through Mergers and Acquisitions (M&As) and Corporate Innovation
Authors:   Department of Commerce and Business Administration, University of Allahabad, Prayagraj, India., Anant* Srijan , Raghuvanshi Anvita ,   Department of Commerce and Business Administration, University of Allahabad, Prayagraj, India.
Published: October 2019

There was a time when BSNL was the king of the Indian telecom industry and today it is not even able to pay the salaries to its employees. There are some series of causes like un-updated technology, huge employee cost, lack of management, hyper-competition, impaired marketing strategies that has led BSNL, a state-owned PSU, into deep trouble. This paper covers the present status of BSNL in comparison to its competitors. The study finds out the relevance of innovation and the importance of mergers and acquisitions in the telecom sector of India. In line with this, the study provides a strategic revival plan for BSNL to strengthen its financial position and performance. The outcome of the study is that the BSNL can revive itself by acquiring MTNL, by incorporating continuous innovation and by adopting innovative marketing strategies in its business.
Ethnopolitical Processes in the North Caucasus: Dynamics and Stabilizing Factors
Authors:   Doctor of Philosophy, Professor, Chief Researcher, Federal Research Center Southern Scientific Center of Russian Academy of Sciences, Rostov-on-Don, Russia, Avksent’ev Viktor A. , Gritsenko Galina D. ,   Doctor of Philosophy, Professor, Chief Researcher, Federal Research Center Southern Scientific Center of Russian Academy of Sciences, Rostov-on-Don, Russia, Ivanova Svetlana Yu. ,   Doctor of Philosophy, Professor, Chief Researcher, Federal Research Center Southern Scientific Center of Russian Academy of Sciences, Rostov-on-Don, Russia, Shul’ga Marina M. ,   Doctor of Sociology, Professor, Leading Researcher, Federal Research Center Southern Scientific Center of Russian Academy of Sciences, Rostov-on-Don, Russia
Published: October 2019

The paper is based on the results of an expert survey conducted in 2016-2017 in all territories located in of the North Caucasian Federal District. A detailed analysis of the results of the study, obtained by the method of expert assessments (Delphi group) is presented. The hierarchy of risks and threats was worked out and specified. The major risk factors include: the persistency of ethno-clan structure, the deterioration of the socio-economic situation of a large part of the population and extremism, based on external factors. It is concluded that the ethnopolitical situation in the region is characterized by a combination of both positive and negative trends with a certain prevalence of stabilizing processes, but the regional situation can gain the reverse direction at any time.
Malicious Node Detection on Routing Via Certificate Authority and Optimal Fuzzy for Wireless Ad-Hoc Network
Authors:   Research Scholar, Dept. of Computer Science and Engineering , Noorul islam Centre for Higher Education, Kumaracoil-629180, Tamilnad,India, K* Rajkumar. , Jeyakumar Dr. M. K. ,   Professor, Dept. of Computer Applications, Noorul islam Centre for Higher Education, Kumaracoil-629180, Tamilnadu. India.
Published: October 2019

Wireless Ad-Hoc network has a set of nodes which designed with wireless transceivers. These nodes communicate with each other by accessing the common channel. In the ad-hoc network, security is one of the main challenges. Due to the behavior of malicious nodes, the security of the network is compromised. So, the major objective of this paper is to improve the security of the network by combining both malicious node detection and cryptography techniques. In this paper, an optimized fuzzy system is presented for the detection of malicious nodes which are malfunctioning in the routing path between source and destination. To optimize the performance of the fuzzy system, Particle Swarm Optimization (PSO) algorithm is presented. After the detection of malicious nodes, each normal behavior node in the network is authenticated by the Certificate Authority (CA). Then the authenticated nodes transmit the data packets to the destination with the Elliptic Curve Cryptography (ECC) algorithm. Simulation results show that the performance of the optimized fuzzy system is improved than that of the conventional fuzzy system for malicious node detection in terms of delivery ratio, detection time and energy efficiency.
Code Knowledge Acquisition for Knowledge Management Trajectory Framework
Authors:   Research Scholar, Department of Computer Science, Bharathiar University, Coimbatore, India., Priya M.A. Krishhna , Selwyn Justus ,   Professor, School of Computer Science and Engineering,, VIT University, Chennai, India.
Published: October 2019

Knowledge and its related techniques cater the need of many tools and frameworks for software development, testing and management. Accurate usage of code according to the software requirement is prevalent in this regard, as inappropriate development of code with conceptual misunderstanding might lead to waste of time and effort. This paper describes a new approach to automate code acquisition task. This gives the advantage of using the coding knowledge that is already encoded which in turn reduces developer s task and their knowledge and effort could be utilized for further enhancement of their work. Using the existing coding knowledge eradicate the errors which are introduced at the time of naïve development activity. Furthermore, this technique can be utilized by software development applications. In this paper, a new knowledge execution technique to acquire code knowledge from software application is implemented. Code extraction gathers code segments from projects organize and logs it for future use. Here, Source Code Extraction algorithm is described that captures code.
Automated Diabetic Retinopathy Detection using CS Based SVM Techniques
Authors:   Computer Science and Engineering, MET’S School of Engineering, Thrissur,India, S S* Mr.Sunil , Anusuya Dr.S ,   Computer Science and Engineering,Saveetha School of Engineering, Chennai, India
Published: October 2019

Diabetes is one of the metabolic maladies where a patient has high glucose either brought about by body inability to create enough insulin or the cells inability to react to deliver insulin. This ceaseless ailment may prompt long haul inconveniences and death. It can cause high danger of kidney disappointment, nervous system harm, visual impairment and coronary illness. During the ongoing years there have been numerous examinations on programmed finding of diabetic retinopathy utilizing a few features and techniques. In this work at first the color fundus image can be utilized for processing, methods, for example, Median filtering, Morphological transformation, or Histogram equalization used to improve the nature of the image. Then to detect microaneurysms, blood vessels and optic disc using the techniques like morphological thresholding transformation, and the features are extracted from Grey level Co-occurrence Matrix (GLCM), Gabor Feature extraction and Linear Binary Pattern (LBD).At long last, for classify the various phases of diabetic retinopathy, SVM (support Vector Machine) Algorithm will be utilized, the outcomes are optimized by Cuckoo Search (CS) calculation.
The Surface Hardness of Mild Steel and Plywood Coated With Different Blending Ratio of Rice Husk Ash-Based Geopolymer
Authors:   Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, Abdullah* Mohd Na’im , Muda Mohd Khairul Hafiz ,   Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia, Mustapha Faizal ,   Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia., Mohd Alim Mohd Shamsul Azmi ,   Faculty of Manufacturing Engineering Technology, TATI University College (TATIUC), 24000 Kemaman, Terengganu Darul Iman, Malaysia, Ismail Mohd Halim Shah ,   Department of Chemical and Environmental Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia
Published: October 2019

Malaysia has a great potential to reuse the agro-waste and reduce the environmental issues generated from the painting industry and agro-waste and achieve the objective of sustainable development. The objective of this work is to analyse physical effects of different blending ratio of rice husk ash based geopolymer binder (GB) surface coating on the hardness of mild steel and plywood. Geopolymer is an inorganic material produced by activated alkaline solution and aluminosilicate sources. Since Malaysia has been producing abundant of rice husk, this rice husk as the aluminosilicate source is used to form geopolymer. As it is known that filler is one of the combinations in paint including epoxy paint, the rice husk ash which has an abundant of silica content can be a ground-breaking source. Thus, an efficient eco-friendly coating that have a good fire resistance properties are very demanding. An optimum coating was formed by optimizing different ratio of GB with water-based or oil- based paint in term of hardness of surface coated. Based on the Rockwell hardness test, the result showed that 2:1 ratio of water-based coated mild steel plate has the highest Rockwell hardness number of 53.08, which meant the lowest depth of impression of 0.1538mm due to 150kgf major and minor load. This implies that different blending ratios addition of GB on plate surface have an effect on the hardness of mild steel and plywood.
O modelo político de Norberto Bobbio
Authors: Cattaneo Fabrizio
Published: October 2019

Reconstrução do modelo da democracia constitucional no pensamento de Norberto Bobbio, a partir do que ele mesmo nomeia, tomando emprestada uma expressão kantiana famosa, como a revolução copernicana da modernidade política e jurídica, que é colocada pelo autor turinense como fundamento da sua teoria dos direitos fundamentais. Depois se procede à análise do elemento “democracia” do modelo, examinando a famosa teoria da democracia “procedimental”. O passo seguinte é a correlação dos dois elementos do modelo, democracia e constituição, sublinhando como os direitos fundamentais e a articulação dos poderes constitucionalmente estabelecida desempenham também um papel no estabelecimento daquelas que foram designadas por alguns intérpretes de Bobbio como “pré-condições da democracia”. Finalmente, compara-se o modelo bobbiano da democracia constitucional com os modelos de alguns autores, estes também claramente inspirados pelo “iluminismo”, como o de Jürgen Habermas e o de Luigi Ferrajoli, abrindo caminho para quaisquer desenvolvimentos ou acréscimos ao modelo.
Bobbio e os dualismos democráticos
Authors: Cadermartori Daniela Mesquita Lutchuk de
Published: October 2019

This essay seeks to realize in Bobbio’s democratic theory, dualisms, paradoxes and what he called unfulfilled promises of democracy. Among the dualisms, the first is to expose the theme through the conflict between ideals and “rude matter”. Is also analyzes the increasing demands of contemporary society, the relations between democracy, bureaucracy and technocracy, and what the author considered as mistaken perceptions of the problems that involves the privatizations of the public ant the survival of the oligarchies. The analyses is based on a multifaced perspective, so as to enable a provisional synthesis of studies and research, establishing a dialogue about common issues between the current problems of democracy and the contribution of Bobbian thought.