bluuebunny/crossref_metadata_2025_split huggingface dataset:
Augmented reality for history education
Authors: Raghaw Manu , Paulose Joy , Goswami Bhargavi 
Published: May 2018

Augmented Reality is live, direct or indirect view of a physical real world environment whose elements are augmented by personal computers (PC) that produces the information such as sound, video, designs or GPS data. This paper shows an instructive mobile application based system model on Augmented Reality which is used to learn subjects like history through augmented videos. The objective of development of this system model is to make the learning interesting for the young generation. Unity 3D and Vuforia Augmented Reality Software Development Kit (SDK) is used for the development of this model. The prime purpose of this application model is to enhance the learning process with digital technologies. This paper has step by step implementation instructions for the development of augmented reality modeling that can supplement the current teaching-learning environment to generate interest among young generation in less interesting subjects such as History, Geography, etc.
Poly-phase signal generation and optimizationof LPI Radar: A new approach
Authors: Kamble Jayshree , A Pasha I , Madhavilatha M 
Published: May 2018

Low Probability of Intercept (LPI) Radar own certain positive characteristics make them nearly undetectable by Intercept Receivers. In a battle field, this present a considerable strategic problem. New digital receivers required complex signal processing techniques to detect these types of Radar. This paper address the problem of constructing a new hybrid waveform design using Poly-Phase modulation technique to optimize the detection performance of LPI Radar. Phase coded Pulse compression waveforms using Frequency Hopping Spread Spectrum (FHSS) are designed to evaluate the detection performance of LPI radar in terms of Discrimination factor (DF).The difference in DF of the Poly-phase coded and Binary phase coded signals is increasing with the increase in the phase values.The effect of noise on Hybrid Poly-Phase waveforms examined using the signal to noise ratios of -10dB,-15dB and -20dB and extract the parameter necessary for the LPI Radar system.
Multiclass classification of motor imagery EEG signals using ensemble classifiers & cross-correlation
Authors: Hari Krishna D , A.Pasha I , Satya Savithri T 
Published: May 2018

To communicate without any muscle movement and purely based on brain signal has been the goal of Brain computer interfacing (BCI). Recent BCI based studies reported more and more accurate detection of brain states. This paper proposes a study that detects EEG signal belonging todifferent imaginary motor activities (Right leg, right hand, left leg and left hand). The Electroencephalogram (EEG) signal has been conditioned by band pass filter (BPF) to improve signal to noise ratio (SNR). The proposed method is based on similarity between signals to extract features. For measuring the similarity between signals, Cross correlation (CC) is used. An ensemble set of five classifiers (Linear Discriminant Analysis (LDA), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Naïve Bayes (NB) and Binary Decision Tree) was used collectively. As the similarity measurement was binary in nature, one versus rest (OVR) approach was used for multi class classification. Random subset of features was used to train the ensemble of classifiers. The classification label was obtained by using majority voting. An average accuracy of 89.57% was observed among all 10 subjects.
Comparison between Different Queue Management Techniques in Mobile Ad-Hoc Network: A Survey
Authors: Kumar Sahu Prabhat , Mahapatro Susrita , Kumar Dash Pradeep 
Published: May 2018

The world is running in a lightning speed with the rapid up gradation of technology. In fraction of second human civilization experiences a unique set of technologies and for this human sentiment started to demand better quality of service in almost all the areas which provides ease to it by minimizing human work efforts. Communication becomes an integral part of this rapidly changing technology. From the introduction of internet, the taste and preferences of virtual communication has been changed. A new technology called as Mobile Ad Hoc Network (MANet) is also getting its popularity due to its infrastructure less and mobility property. The rapid increase in demand for use of MANets tends it to further development to provide better quality of service. However Congestion in these networks creates a challenge to achieve desired Quality of Service. Different Queue Management techniques such as Passive and Active Queue management techniques are used to minimize the congestion in these networks which uses the concept of managing the buffers though algorithms. The Passive Queue Management technique Droptail, in the introduction stage, somehow manages to increase its efficiency. However in later stage, when data traffic increases, due to global synchronization problem many other algorithms including active queue management techniques such as RED and variants, REM have been developed to increase the efficiency by decreasing the congestion. The concepts even travel from congestion control to congestion avoidance. In this paper we have taken into account different passive and active queue management techniques and compared them based on our literature review to find out the best among them by considering different situations.
Kannada word sense disambiguation by finding the overlaps between the concepts
Authors: Manjunatha Kumar B , M.Siddappa Dr , J.Prakash Dr 
Published: May 2018

We propose three approaches for disambiguating the Kannada word based on an adaptation of dictionary-based Lesk’s word sense disambiguation technique. Instead of making use of the regular dictionary as the repository of glosses, we used Indo – WordNet lexical database as the source of senses. Here we adopt a current method of measuring semantic relatedness between the concepts of the Kannada words taken from Indo – WordNet. This measure is dependent on identifying and counting the number of common words present between the glosses of a pair of concepts in accordance with Indo – WordNet.
Session Hijacking and Prevention Technique
Authors: Kumar Baitha Anuj , Smitha Vinod Prof. 
Published: May 2018

Session Hijacking is an attack which is basically used to gain the unauthorized access between an authorized session connections. This is usually done to attack the social network website and banking websites in order to gain the access over the valid session as well as over the website too. These attacks are one of the commonly experienced cyber threats in today’s network. Most of the websites and networks are vulnerable from this kind of attack. For providing the protection I have given the multiple ways to protecting from this session hijacking attack. I have especially focused on one of the major attacks in this session hijacking attack SSL Strip attack which play very vital role in this kind of attack. Sometimes this session hijacking attack is also known as the Man in the Middle attack (MIMA).In this paper, I have covered many security mechanisms to stay away and protect you and the network. This session hijacking attack is very dangers for the security perspective. Even it can steal all users’ most sensitive data. This can create a big loss for the users financially. From all these types of attack, I have proposed many mechanisms to help the users to stay away from the attack. The main objective of this paper is to give detail information of session hijacking and countermeasure from session hijacking attacks.
solution for the future: small file management by optimizing Hadoop
Authors: Achandair O , Bourekkadi S , Elmahouti E , Khoulji S , L. Kerkeb M 
Published: May 2018

Hadoop Distributed File System (HDFS) is designed to reliably store very large files across machines in a large cluster. It is one of the most used distributed file systems and offer a high availability and scalability on low-cost hardware. All Hadoopframework have HDFS as their storage component. Coupled with map reduce, which is the processing component, HDFS and Map Reduce (a processing component) have become the standard platforms for any management of big data in these days. HDFS however, in terms of design has the ability to handle huge numbers of large files, but when it comes to its deployments to handle large amounts of small files it might not be very effective. This paper puts forward a new strategy of managing small files. The approach will consists of two principal phases. The first phase will deal with the consolidating of aaclients input files, storing it continuously in a particular allocated block, that is a SequenceFile format, and so on into the next blocks. In this way we avoid the use of multiple block allocations for different streams, this reduces calls for available blocks and also reduces the metadata memory on the NameNode. Note the reason for this is that groups of small files packaged in a SequenceFile on the same block require one entry instead of one of each small file. The second phase will involve analyzing the attributes of stored small files so they can be distributed them in a way that the most called files will be referenced by an additional index as a MapFile format to reduce the read throughput during random access.
A lightweight hybrid encryption technique to secure IoT data transmission
Authors: Kunchok Tenzin , Kirubanand V. B Prof 
Published: May 2018

Internet of Things(IOT) is the rising innovation without bounds is required to associate billions of devices. IoT is the future where many low power resources and constrained devices are connected by means of the internet for communication, compute process and take actions in the communication network. The increased number of communication is relied upon to produce heaps of information and the security of information can be a threat resulting a secure solution for communication is necessitates among heterogenous devices. Focus of the work is to provide confidentiality, authentication and integrity of data in transit between IoT edge devices and back-end systems. This paper proposes a lightweight hybrid encryption system using ECDH key exchange mechanism for generating keys and establishing connection, digital signature for authentication, thereafter AES algorithm for encryption and decryption of user data file. The proposed combination is referred to as “three way secured data encryption mechanism” which interpret all the 3 protection schemes of authentication, info security and verification with the characteristics of lower calculation cost and faster speed makes it robust for hackers to crack the security system, thereby protective data in transmission.
Liver tumour classification using average correction higher order local autocorrelation coefficient and legendre moments
Authors: H.L Aravinda , Sudhamani M.V 
Published: May 2018

The major reasons for liver carcinoma are cirrhosis and hepatitis. In order to identify carcinoma in the liver abdominal CT images are used. From abdominal CT images, segmentation of liver portion using adaptive region growing, tumor segmentation from extracted liver using Simple Linear Iterative Clustering is already implemented. In this paper, classification of tumors as benign or malignant is accomplished using Rough-set classifier based on texture feature extracted using Average Correction Higher Order Local Autocorrelation Coefficients and Legendre moments. Classification accuracy achieved in proposed scheme is 90%. The results obtained are promising and have been compared with existing methods.
Incremental gradient algorithm for multiuser detection in multi-carrier DS-CDMA system under modulation schemes
Authors: N. Motade Sumitra , V. Kulkarni Anju 
Published: May 2018

Nowadays, Multicarrier Direct sequence code division multiple access (MC DS-CDMA) systems are used in mobile communication. Performance of these systems are limited by multiple access interference (MAI) created by spread-spectrum users in the channel as well as background channel noise. This paper proposes an incremental gradient descent (IGD) multi-user detection (MUD) for MC DS-CDMA system that can achieve near-optimum performance while the number of users is linear in its implementation complexity. The IGD algorithm make an effort to perform optimum MUD by updating one user's bit decision each iteration in the best way. This algorithm accelerates the gradient algorithm convergence by averaging. When a minimum mean square error (MMSE) MUD is employed to initialize the proposed algorithm, in all cases tested the gradient search converges to a solution with optimum performance. Further, the iterative tests denote that the proposed IGD algorithm provides significant performance for cases where other suboptimum algorithms perform poorly. Simulation compares the proposed IGD algorithm with the conventional detectors.
Inflated Portable Cold Storage House with Solar Cells as facilities to support the fisheries production and marketing
Authors: Ikhsan Setiawan M , Dhaniari Iswachyu , Hasyim Cholil , . Yuniningsih , Abdullah Dahlan , Nugraheni Sri Lestari Veronika , Mulyo Utomo Wahyu , Sukoco Agus , Wiwoho Mudjanarko Sri , Alimudin Arasy , Harmanto Dani , Saleh Ahmar Ansari 
Published: May 2018

The global fish production currently reaches 158 million tons to 91.3 million tons. However the largest contribution is provided by the fisheries sector. An estimated 136.2 million tons of fish are used directly for consumption and then for fish and livestock. In the fishery sector, Indonesia was ranked second after China, while in the fish cultivation sector Indonesia was ranked fourth after China, India, and Vietnam. The result of increasing exports reached 35.4 billion dollars in 2012. The Technology Inflated Portable Cold Storage House with Solar Power as facilities to support fisheries production and marketing, can be built and applied in a residential location/ specific housing easily, safely, quickly and lightly (0,55mm PVC Tarpaulin). The development program of this technology in supporting fisheries production and marketing meet the requirements of strength, speed, flexibility and comfort. This technology also increased the absorption of the National Fish stock. Specific targets on this research is to provide Cold Storage House Prototype with solar in supporting fisheries production and marketing with cheap and profitable so that can be mass-produced. This research used experiments and action research. The process of research is starting with the development of the design, manufacture, testing and repair of Inflated Portable Cold Storage House with Solar Power Prototype, included first, a technical test of strength and endurance of Portable inflated Structure materials to the weather; second, testing the speed of the manufacture, transportation, assembly, installation, disassembly of Portable Inflated Structure; third, testing temperature, humidity and air pressure in the Inflated Portable Cold Storage House with Solar Power; fourth a technical test, related to the fishery from frozen and market in Inflated Portable Cold Storage House with Solar Power in order to obtain hygienic, inexpensive and profitable fisheries.
Application of newton Raphson and steepest descent method for precise positioning for mobile communications
Authors: Yamini Surya Teja Ch , Vijay Gopal Reddy B , Sri Harsha S , Uday Kiran K , S.Koteswara Rao Dr 
Published: May 2018

GSM is a wireless networksystem. GSM mostly uses TDMA and most uses three digital wirelessmobile network technologies to compresses data, sends by using a channel along with other samples of data, in different time slots. It makes use of 900 to 1800MHz band frequency for transmission. Very accurate and exact wireless algorithms are difficult in all environmental conditions. Wireless communications use various parametric measurements to determine the sensor position. TOA is the time taken by the signal from source to reach the receiver’s position. Newton Raphson method is an iterative numerical method uses partial derivatives of a functions or a system of equations in a suitable search direction. Newton Raphson consider two fundamental arguments: The first one is considering a good starting or initial point which is approximate to the solution and the secondary thing is to consider a distinguishable error which plays important role on approximation of the solution. In the present work, the Newton Raphson algorithm is implemented to obtain precise position of the receiver.
A survey on fog computing: research challenges in security and privacy issues
Authors: Veerraju T , K. Kiran Kumar Dr 
Published: May 2018

With the rapid advancement of Internet of Things has enabled to combine the intercommunication and interconnection between seamless networks. Cloud computing provides backend solutions and one among the most prominent technologies for the users, still cannot be solved all the problems such as latency of real time applications. However, a new computing paradigm comes in to the picture. Many of the researchers focused on this exemplar known as Fog/Edge computing, which has been planned to the extension of cloud services. Fog provides the services to the edge of the networks, which makes communication, computation and storage for end users through fog devices and for servers like controllers. We analyze the study, which aims to augment low bandwidth, latency along with the privacy and security. The major problem in the Fog computing is security due to the limited resources. In this paper, we investigated the protection issues and confrontation of Fog and also provide countermeasures on security for different attacks. We focused the future security directions and challenges to address in fog networks.
Design of Dual Band Circular Microstrip Patch Antenna with Slot for WLAN Applications
Authors: Nageswara Rao L , Ramesh B , Santhosh Kumar V 
Published: May 2018

A composite double - band circular microstrip patch (MPA) with space opening for WLAN is intended. An investigated configuration is feasible for WLAN applications. An investigated configuration includes the circular patch and π - space resonator. The compact in the antenna size for the lower band is attained by adopting a π – shaped opening space on the ground plane. By balancing the model specifications, a circular patch resonator act at the primary band (5.2 GHz) and the π - space slot act at the secondary band (2.4 GHz), while using the substrate substantial FR4 whichever carry dielectric constant of 4.4 (ɛr). The arranged antenna configuration has small in size, less weight, reduced cost and acceptable isolation. Designed structure presents the return loss less than -10 B and it is indicated with significant impedance matching, improved radiation pattern and good VSWR around 1 over the working bands. The investigated configuration is simulated and analyzed with HFSS.
A Compact Circular Patch Antenna for Wireless Network Applications
Authors: Nageswara Rao L , Santhosh Kumar V , Basha M 
Published: May 2018

The compact double-band circular microstrip patch (MPA) with the etched slot for WLAN architecture is designed. A double recurrence circular patch design along space opening slot sustained with a transmission model is intended to acquire double recurrence task. The designed antenna model comprises of circular patch and parasitic - slot resonator. The ground plane is arranged with a space opening resonator. By modifying structure parameters, the microstrip patch works at the upper band (5.2 GHz) and parasitic - opening works at bringing down band (2.4 GHz), the two resonators are emanating with two diverse radiation designs. Remembering the true objective to choose the execution of the designed model and the composed structure shows the arrival misfortune less than - 10 B and it is demonstrated with huge impedance coordinating, enhanced radiation example and great VSWR around 1 over the working groups. The investigated configuration is simulated and analyzed with HFSS. The suggested antenna model is reasonable for wireless LAN applications.
A Novel Privacy Preserving Data mining using improved decision tree and KP-ABE on High Dimensional Data
Authors: Seenu Aaluri , Kameswara Rao M 
Published: May 2018

In distributed data mining environment maintaining individual data or patterns is a major issue due to high dimensionality and data size. Distributed Data mining framework can help to find the essential decision making patterns from distributed data. Privacy preserving data mining (PPDM) has emerged as a main research area for data confidentiality and knowledge sharing in between the communicating parties. As the distributed data of the individuals are stored by the third party, it leads to the misuse of distributed information in digital networks. Most of the decision patterns generated using the machine learning models for business organizations, industries and individuals has to be encoded before it is publicly shared or published. As the amount of data collected from different sources are increasing exponentially, the time taken to preserve the patterns using the traditional privacy preserving data mining models also increasing due to high computational attribute selection measures and noise in the distributed data. Also, filling sparse values using the conventional models are inefficient and infeasible for privacy preserving models. In this paper, a novel privacy preserving based classification model was designed and implemented on large datasets. In this model, a filter-based privacy preserving model using improved decision tree classifier is implemented to preserve the decision patterns using IPPDM-KPABE model. Experimental results proved that the proposed model has high computational efficiency compared to the traditional privacy preserving model on high dimensional datasets.
An improved 1-φ rectifier system using fuzzy logic control with 3-φ variable frequency drive
Authors: Kiran Kumar M , Almaj SK , S. Srikanth K 
Published: May 2018

A 3-Φ VFD steam fed from a 1-Φ AC supply. To stop more stresses in the components within the drive and within the input supply, the drive output power should be restricted. To beat this problem, several VFD makers decided that drive to be de-rated. As often as possible, the drive’s output frequency is limited, supported the dc voltage ripple hence the DC capacitors aren’t overstressed. Through the tradional technique decrement of strain within the DC Capacitors, it doesn’t consider the stresses in other parts of the drive, particularly the diodes at the input and terminal blocks of input. During this paper, brand new fuzzy controller based technique for the protection of the drive the motor current with FLC is projected. The motor current is shown to possess info relating the stresses in numerous elements of the VFD together with the diodes at the input, terminal blocks of the input, and therefore the Dc capacitors. The o/p power is projected to be restricted by decreasing the o/p frequency supported the avg and ripple abundancy of the quadrature axis current rather than the dc voltage ripple. To prove this conception, a comparison is made between fuzzy logic controller based technique employing a less power VFD fed from a 1-Φ ac, and the conventional dc voltage ripple based frequency technique.