bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of Mobile Robots Approach for Autistic Children Media Therapy
Authors: Febtriko Anip , Rahayuningsih Tri , Sukri S , Tri Saputra Haris
Published: May 2018

Autism is neural development disorder which complex and is characterized by difficulties in social interaction, communication, emotion and limited behaviour, repetitive and stereotyped characters. The development of people with autism experienced a very significant increase. Autistic fine motoric development of children with autism is done through the hands by using tools or creative media such as brushes, pencils, paper, scissors, clay, plastisin, foam, and others. One way to improve fine motor in autistic children is to play mobile robot therapy. Mobile robots media is an activity to control and regulate the movement of the robot that involves and requires coordination between the eyes, hands, and concentration. It is necessary to approach and use mobile robot in the effectiveness of play therapy in children with autism. Mobile robot as a medium that becomes a play therapy tool with mobile robot capability that can move and move from one place to another by following the pattern of lines that have been designed. The main purpose of this research is to design creativity according to the level of complexity of mobile robot use for children with autism. Besides the use of mobile robot as a medium of play therapy there is also analysis in research using Pre experimental design. Population in the sampling amounted to 20 children. Autistic children who become samples aged between 6 years to 12 years in Special School Kids Pekanbaru. Data collection to study the fine motor of autistic children, collected data analysed by descriptive analysis and Rank Wilcoxon test. The result of the research is a reciprocal relationship which means there is a difference of reciprocal relationship before and after the approach of using mobile robot in play therapy to improve fine motor in autistic children.
Implementing DMZ in Improving Network Security of Web Testing in STMIK AKBA
Authors: Iskandar Akbar , Virma Elisabet , Saleh Ahmar Ansari
Published: May 2018

The aims of this research are to design and to implement network security system in internal web testing using DeMilitarized Zone Method and Microtic Router on Siakad server of STMIK AKBA. Data analysis techniques that possible to use is descriptive method. The significances of the study are 1) to avoid the attack of cracker who intend to access the system without permissions and 2) to improve network securityon web testing services on  Siakad server of STMIK AKBA. The data are obtained by having literature review and observation. Literature review assists the researchers to collect the theory on DeMilitarised Zone Method and the previous studies which were used as comparison to the recent study. Obervation was carried out directly to the field to observe the running system. Based on the results and discussion, it is shown that the aplication of  DeMilitarized Zone Method on microtic  can secure the web testing on Siakad server of STMIK AKBA and can maintain the whole series of online services that are available in the server.
Decision Support Rating System with Analytical Hierarchy Process Method
Authors: Dharma Tuah Putra Nasution Muhammad , Rossanty Yossie , Daengs GS Achmad , Sahat S , Rosmawati R , Kurniasih Nuning , Saleh Ahmar Ansari , Susanto Eko , Novitasari Yuni , Suhardi S , Abd. Kadir Iriyani , Rahim Robbi
Published: May 2018

Human resources within a company's organization are significant to support the progress and quality of the company in achieving the goal. However, to achieve it all of these employees must have other supporting factors such as endurance, diligence, and accuracy or other skills. These factors can manage a system that can help to make decisions. One of the methods that can be used for decision support system is by using AHP (Analytical Hierarchy Process) method, this method is chosen because it can select the best alternative from a number of alternatives that is entitled to get the promotion and value of employee performance expected by company based on criteria which are determined. The result of the implementation process can sort the alternatives from the most considerable value to the smallest value.
Comparison Analysis of TOPSIS and Fuzzy Logic Methods On Fertilizer Selection
Authors: Indahingwati Asmara , Barid Nizarudin Wajdi Muh , Ermayanti Susilo Dwi , Kurniasih Nuning , Rahim Robbi
Published: May 2018

Decision Support System is an interactive system that supports decision in the decision-making process through alternatives derived from the processing of data, information and design of the models. Selection decision support system of chemical fertilizer in fruit plant is expected to help anyone who wants to cultivate fruit trees can determine the chemical fertilizer as expected based alternatives and criteria set by the user. In this research method used is TOPSIS Method and Method of Fuzzy Logic. TOPSIS method is one of multiple criteria decision making method that uses the principle that the alternatives selected must have the shortest distance. Fuzzy Logic is a methodology of control systems troubleshooting, the fuzzy logic stated that everything is a binary which means it is only two possibilities, "Yes or No", "True or False", "Good or Bad", and others. Therefore, all of these can have a membership value of 0 or 1.
Analysis and modeling of standalone wind driven doubly fed induction generator
Authors: Bhardwaj Prerak , K Vijayakumar
Published: May 2018

This paper briefly enlightens on the analysis and modeling aspects of the standalone operation of doubly fed induction generator (DFIG) based wind energy conversion system (WECS). The DFIG in WECS is controlled via a single converter on the rotor terminals. The battery at the converter terminal fulfills the active/reactive power demand of the load. Whereas, the incorporation of the speed estimation technique makes the WECS free from the complexities associated with the speed sensors, thus provide a robust and reliable operation. The control technique used is simple and based on controlling the stator voltage and frequency by their comparison with a reference voltage and frequency using a simple PI controller. The supportive results for the analysis and modelling has been presented for a 7.5 kW wound rotor induction generator in MATLAB/Simulink environment.
Mobile based application for prediction of diabetes mellitus: FHIR Standard
Authors: Sharma Meenakshi , Aggarwal Himanshu
Published: May 2018

Presently physicians providing clinical decision along clinical guidelines manually on basis of manual query to  patients that involve documentation files of lab reports, medication description etc., that make practice sluggish and arduous. With development of mobile based application provide assistance to physician in providing quick decision in appropriate manner as patient data available any-time from any-where that will enhance quality of care in field of healthcare. HL7 standard promotes FHIR(Fast Health Interoperability Resource) standard and health information technology for mobile-health. Mobile health is not a vertical field, but a kind of horizontal field that has cut various impact of healthcare domains. This application provide the effective health management of patient's electronic health record with ease of user friendly interface, that can be accessed on role based authentication by numbers of actors like patient, physician, clinic staff and patient's family etc. Basically this study projected decision support system for prediction of chronic disease-Diabetic- Mellitus using FHIR(Fast Health Interoperability Resource) as standard for interoperability among hospital information system. Application provide physician's structured series of symptoms/signs as uploaded by patients, laboratory and staff. Series of questioner along with outcomes are formed, all outcomes appraised and tested by team of medical domain experts.
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.
A Comparison of recommendation algorithms based on use of linked data and cloud
Authors: Ranjan Ankita , M Vinay
Published: May 2018

Recommendation generation is a critical need in today's time. With the advent of big data and the increasing number of users, generation of most suitable recommendation is essential. There are many issues already associated with recommendations such as data acquisition, scalability, etc.. Moreover, the users today look to get best recommendations at the minimum effort on their side. Thus it becomes difficult to manage such huge amount of information, extract the needed data and present it to the user with least user involvement. In this research, we surveyed some recommendation algorithms and analyze their applications on an open cloud server which uses linked data to generate automated recommendations.
Load restoration methodology considering renewable energies and combined heat and power systems
Authors: O. Alwan Hayder , M. Farhan Noor
Published: May 2018

Outages and faults cause problems in interconnected power system with huge economic consequences in modern societies. In the power system blackouts, black start resources such as micro combined heat and power (CHP) systems and renewable energies, due to their self-start ability, are one of the solutions to restore power system as quickly as possible. In this paper, we propose a model for power system restoration considering CHP systems and renewable energy sources as being available in blackout states. We define a control variable representing a level of balance between the distance and importance of loads according to the importance and urgency of the affected customer. Dynamic power flow is considered in order to find feasible sequence and combination of loads for load restoration.
Energy aware detection and prevention of black hole attack in MANET
Authors: Panda Niranjan , Kumar Pattanayak Binod
Published: May 2018

Energy and security are the two vital components of Mobile Ad-hoc Networks (MANETs). During routing finding an optimal path from sender to receiver sense of path length (number of hops), longevity (battery life) and security becomes an essential requirement. Variety of schemes are proposed by the researchers for finding the shortest path along with energy saving and protecting from attacks Black-hole and gray-hole attacks are some of the most harmful attacks against MANET communication and needs attention. These attacks may cause by insider or outsider malicious node(s) who may drop packets or misroute the information during communication from sender node to receiver node. In our study we proposed an intelligent routing protocol based on Ant Colony Optimization (ACO) technique that finds shortest path from source to destination, applies the concept of power aware techniques to save energy increasing the longevity of the link avoiding link failure and also uses the concept of digital signatures, watchdog and path rater for detection and avoidance ofblack-hole and gray-hole attacks. Simulation study of the proposed scheme is made over some network parameters and found to be efficient in comparison to the basic AODV routing protocol.
Anefficient 2-Step DNA symmetric cryptography algorithm based on dynamic data structures
Authors: P. George Jossy , Varghese Kureethara Joseph
Published: May 2018

The security of text has become highly demanding in today’s fast growing networking world. DNA computing is one of the emerging technologies in the arena of huge data storage and parallel computation. A single gram of DNA holds 5.5 petabytes of data. This leads to the increased risk in data communication. DNA in computers is mapped to human genome. Thus, the sequence of nucleotide base constructs the foundation of uniqueness. In this paper, a new scheme acronymed as –‘Cryptography on DNA Storage’-CDS is provided. It performs the DNA data encryption in just two-step by using random private key for each letter in the plaintext and parallel swapping of the resultant text in small clusters. It is discussed keeping the time and space complexity of the algorithm in concern.
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.
Implementation of OpenIdconnect and OAuth 2.0 to create SSO for educational institutes
Authors: Sujanani Tarun , Vinod Smitha
Published: May 2018

Increase in the number of users is directly proportional to the need of verifying them. This means that any user using any website or application has to be authenticated first; this leads to the creation of multiple credentials of one user. Now if these different websites or applications are connected or belong to one single organization like a college or school, a lot of redundancy of data is there. Along with this, each user has to remember a wide range of credentials for different applications/websites. So in this paper, we address the issue of redundancy and user related problems by introducing SSO using OpenId Connect in educational institutes. We aim to mark the difference between the traditional system and proposed login by testing it on a group of users.
A modified fuzzy approach to prioritize project activities
Authors: Joseph Kalayathankal Sunny , Varghese Kureethara Joseph , T. Abraham John
Published: May 2018

Project management is an important task in business although project is not just confined to business. Due to the uncertainty of the various variables involved in a project, over several past decades research is going on in the search for an efficient project management model. Although numerous crisp models are easily implementable, the potential of fuzzy models are huge. In the case of software development, the variables involved are highly dynamic. In this paper, we propose a ranking based fuzzy model that can prioritize various activities. We use a popular crisp model to test the effectiveness of the fuzzy model proposed. Simulation is done through Java Server Pages (JSP). There is considerable computational and managerial advantage in implementing the fuzzy model.
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.
Design of a High Gain Compact Circular Microstrip Patch Antenna for X-Band
Authors: Patel Madhukant , Singh Jadaun Veerendra , Lal Kanhiya , Kuchhal Piyush
Published: May 2018

This paper presents design a High Gain Small Size Microstrip Patch Antenna for X-Band applications such as Moving target RADAR sensor, Motion detector, Microwave camera, Ground Penetration RADAR sensors, wall penetration scanners and many medical applications. Now we have to selected circular geometry of micro strip patch antenna because circular geometry overcomes edge effect of antenna. The proposed antenna is designed to operate for X-band at the centre frequency of 10 GHz. The proposed Circular patch antenna is compact and easy to body mount with a high efficiency. The compactness makes it a better choice as compare with other antenna in the X-band. The proposed antenna shows a very sharp return loss of -46 dB at 10 GHz having narrow pattern with a good gain of 4.7 dBi. This enables its use in high directional applications. The paper represents the designing steps, and the simulation result obtained. The software used here for this circular shaped microstrip antenna is IE3D. Various parameters such as gain, power, radiation pattern, and S11 of the antenna are mentioned.
Concept of Power Line Communication solution for Mesh DC Micro grid based on CAN protocol
Authors: Thanh Kha Tran , Hamed Yahoui , Catalot Denis Genon , Nicolas Siauve , Nicolas Fourty
Published: May 2018

Recently, technologies related to smart grids have attracted more attention due to increasing the demand for renewable energy. One of the most important foundations of smart grids is commonly communications between energies services demands and responses. Almost all the operations on the grids are based on the communications, such as supervision, protection, and isolation. These operations request different requirements for data transmission. The communication technology needs to have high reliability, low latency, and a minimum throughput to guarantee interaction between elements. To limit wires, power line communication (PLC) is a natural choice to deliver bi-directional data transmission between network components to enable smart controller and management of the grid. This paper proposes a PLC solution as a data transmission method for the mesh type DC microgrid. This solution is designed to take advantage of a robust protocol of automotive network - Control Area Network (CAN). The presented architecture is thus intended to propose a PLC system compatible with CAN-bus to provide a safety protocol for DC microgrid with cost effective approach.
An Image Sharing Technique Using QR Code Through Cloud for Mobile Devices
Authors: Aysha Farina N , P George Jossy , Varghese Kureethara Joseph
Published: May 2018

Image sharing is a very important task in the digital communication. Images of various resolutions are transferred every moment electronically. Cloud computing and associated security concerns motivate every increasing research in this field. This paper is about an image sharing technique using the famous Quick Response (QR) Code which is very popular now. We have a web application also associated with this.
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.
State Estimation of Power System Embedded with FACTS devices and PMUs
Authors: Venkateswaran V Balaji , Kumar Sharma Neeraj , Yadav Deepali
Published: May 2018

In recent days, the power system is incorporated with Flexible AC Transmission System (FACTS) devices for compensation of reactive power to maintain the stability of the system. The stability of the system is highly dependent on the state variables which are the outcomes of a state estimator in the power system. To improve the efficiency of a state estimator, high precision measuring devices such as Phasor Measurement Units (PMUs) are installed in the power system. Hence a state estimator embedded with these compensatory devices and PMUs is necessary for estimation of state variables. The present work has been carried out in three steps. Step 1: Considering the cost of PMUs and the availability of the communication network in the particular location, PMUs are optimally placed in the nodes of the system so that all critical measurements are transmuted into redundant ones using differential evolution (DE) algorithm to perform observability analysis. Step 2: A hybrid state estimation is performed by including the mathematical model of FACTS devices and PMUs. Step 3: It is shown that by installing optimal number of PMUs at desired location, multiple bad data detection and identification capability of residual method is considerably improved. Lastly, numerical simulation with standard IEEE 14 bus system, IEEE 118 bus system and a practical 246 bus system of northern region power grid (NRPG) is presented to confirm the effectiveness of the proposed approach in assessing the estimation of the system state variables.
A Survey on flow meters based on application
Authors: S R Sakthivel , K Sudarshan , Venkateswaran V Balaji
Published: May 2018

Flow meters are those instruments that are used to measure the flow of fluid. The term fluid is a quite general because it involves both liquids and gases, so technically flow meters are those instruments that are used to measure the flow of liquids and gases. There have been numerous classifications for fluids, based on viscosity, operating pressure and temperature and even based on the type of measurement, whether it is done in a conduit or out in the open. The main objective of this paper is to develop a reference table based on the various applications of flow meters.
Proposed Method for SQL Injection Detection and its Prevention
Authors: Kumar Ashish , Binu Sumitra
Published: May 2018

SQL injection attack is a commonly used method to attack the database server. Injection attacks enable the attacker to bypass the validation and authorization mechanisms used by database server and gain access to the database. The easiest way to launch this attack is by exploiting the loopholes in the validation of user inputs provided through login pages. Each login page that a user visits can contribute towards revealing the identity of the user. Feedbacks given by the server while executing an SQL code can reveal information regarding the vulnerabilities in the validation process of the database server. This information can be misused by the attacker to launch an SQL injection attack. This paper discusses a technique for identifying and preventing SQL injection attack using tokenization concept. The paper discusses a function which verifies the user queries for the presence of various predefined tokens and thereby preventing the access to web pages in cases where the user query includes any of the defined tokens.
Design and Development of a 3dB Quadrature Patch Hybrid Coupler
Authors: Sekharbabu B , Narsimha Reddy K , Sreenu S
Published: May 2018

In this paper a -3 dB, 90-degreephase shift RF quadrature patch hybrid coupler is designed to operate at 2.4GHz. Hybrid coupler is a four-port device, that’s accustomed split a signaling with a resultant 90degrees’ section shift between output signals whereas maintaining high isolation between the output ports. The RF quadrature patch hybrid coupler is used in various radio frequency applications including mixers, power combiners, dividers, modulators and amplifiers. The desired hybrid coupler is designed using FR-4 substrate with 1.6mm height in High Frequency Structure Simulation (HFSS) and the same is fabricated and tested. The designed Hybrid coupler is examined in terms of parameters like insertion Loss, coupling factor and return Loss. The simulation and measurement results are compared. Major advantages of the RF quadrature patch hybrid couplers are that they are compatible with integrated circuit technology.
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.
Plan of an awareness system on SRH in light of the identification of emotional facial expressions
Authors: Elmahouti M , Bourekkadi S , Achandair O , Khoulji S , L. Kerkeb M
Published: May 2018

In today’s world, the information systems have turned out to be fundamental for associations which act as a need, with the end goal to make choices based on finer quality. It is because of this reason that powers the introduction towards the computerization procedure. Nevertheless, all associations are looking for an information system which permits a development, an advancement and a change of their business procedures. This is the purpose behind considering setting up an awareness information system with the goal that it can sensitize residents about infectious and irresistible illnesses, for example, AIDS (HIV) and hepatitis (A - B - C), and adjust to the necessities of residents as per their inner states communicated in their online teaching, and different measures of adaptation (age, sexual orientation, city, language,level of knowledge).The target of this research is to examine the administration, which is in charge of the information system that aids in sensitizing on sexual and reproductive health. This work is portrayed by the utilization of information technology and correspondence, targeted at enhancing the procedure, correspondence amongst clients and information systems and the viability of the organization, either as far as due dates, quality, or profitability of public officials to ensure the age.
Effectiveness of the NIZKP Protocol for Authentication in IoT Environment
Authors: Yann Cedric Lawson Teyi , T Senthilnathan
Published: May 2018

Elliptic Curves when compared to other encryptions scheme such as RSA etc., provides an equivalent security, smaller key sizes, less power consumption, faster calculations, less bandwidth used and is more suitable for Internet of Things devices. In addition of encrypting the data, the devices in the network should also be able to authenticate themselves, which can be achieved with the implementation of “Non-Interactive Zero Knowledge protocol” (NIZKP). This protocol involves two parties: The prover and the Verifier. Prover party should prove to the Verifier that they have the knowledge of something, without revealing what is it. In this paper, a study of Schnorr protocol or ∑- protocol over Elliptic Curves is done and the protocol is implemented in Python using the Python Cryptography Toolkit PyCrypto which is a collection of cryptographic modules implementing various algorithms and protocols. Finally, the results were compared with Elliptic Curve Diffie-Hellmann(ECDH) and present a performance evaluation of the protocols on the Raspberry Pi 3B model, a credit-card sized computer used for the development of IoT devices hence the perfect platforms to test the protocol.
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.
Integrated disaster management and smart insurance using cloud and internet of things
Authors: Koduru Suresh , Reddy PVGD Prasad , Padala Preethi
Published: May 2018

Over a period of decades there are lot of frequent disruptions due to natural, man-made and technological disasters which are seriously effecting the society, environment and economy. Hence it is vital that an effective integrated disaster management must be defined by integrating various types of disasters for being equipped in real time to face disasters in an extremely short span of time. In this paper a framework for disaster management is defined based on cloud and internet of things. A disaster management use case is developed based on the defined framework by integrating natural and manmade disasters. Natural disaster events are integrated to derive the probable insurance claims based on historical data and for the insurance agencies to be equipped in the event of disaster. Manmade disaster events will alert the end users when disaster events are about to occur. Here heterogeneous devices and data are firmly integrated to monitor various disaster events at one stop.
Designand application of data aquistion interface circuit
Authors: O. Alwan Hayder , S- Al-Sabbagh Qais
Published: May 2018

A commitment to condition monitoring involves the operators of plant in the conduct of a range of activities. These activities may be complicated in nature and indeed may often be performed automatically under computer control. They can, however, always be down into a relatively small number of easily identifiable functional tasks. This makes it much easier to identify the common elements of machine condition monitoring schemes. A proposed interface circuit design and application will be further explain in this paper, the implemented monitoring unit circuit also illustrated, see appendix A. Two scenarios presented in this paper, first ten turns assume to be shorted, and in the second thirty turns shorted to show the difference in the amplitude of frequencies at each case. This paper present. An improvement in three-phase squirrel-cage induction motor stator inter-turn fault detection and diagnosis based on a neural network approach is presented.
Crime analysis in India using data mining techniques
Authors: K K Deepika , Vinod Smitha
Published: May 2018

An approach for crime detection in India using Data mining techniques is proposed in this paper. The approach consists of the following steps - Data pre-processing, clustering, classification and visualization. Data mining techniques are often applied to Criminology as it provides good results. Criminology is a field which studies about various crime characteristics. Analyzing crime data means exploring crime data. Crime is identified using k-means clustering and the clusters are formed based on the similarity of the crime attributes. The Random Forest algorithm and Neural networks are applied on the data for classification. Visualization is achieved using the Google marker clustering and the crime spots are marked on the India map. The accuracy is verified using WEKA tool. This approach will benefit the Crime department of India in analyzing crime with better prediction. The paper focuses on the crime analysis of various Indian states and union territories during 2001 to 2012.
Empirical analysis of software quality prediction using a TRAINBFG algorithm
Authors: Pattnaik Saumendra , Kumar Pattanayak Binod
Published: May 2018

Software quality plays a major role in software fault proneness. That’s why prediction of software quality is essential for measuring the anticipated faults present in the software. In this paper we have proposed a Neuro-Fuzzy model for prediction of probable values for a predefined set of software characteristics by virtue of using a rule base. In course of it, we have used several training algorithms among which TRAINBFG algorithm is observed to be the best one for the purpose. There are various training algorithm available in MATLAB for training the neural network input data set. The prediction using fuzzy logic and neural network provides better result in comparison with only neural network. We find out from our implementation that TRAINBFG algorithm can provide better predicted value as compared to other algorithm in MATLAB. We have validated this result using the tools like SPSS and MATLAB.
Blockchain based examination system for effective evaluation and maintenance of examination records
Authors: Acharya Rahul , Binu Sumitra
Published: May 2018

The main objective of this paper is to provide a Blockchain based framework for conducting and evaluating academic tests in a peer-to-peer manner with auto-generation of certificates upon successful completion of the examination. We illustrate how a self-sustained education ecosystem can be developed on top of a blockchain for a fair evaluation without the need of a central trusted entity for obtaining certificates or degrees that prove one's dexterity over a subject. In order to make the test as transparent as possible, we store the hash-digest of every question asked and every question answered, directly on the blockchain. This facilitates the tracing of how exactly a candidate received the score that he/she received, adding more credibility to the obtained certificate.
Concurrency testing using symbolic path finder
Authors: Kumar Sahoo Bidush , Ray Mitrabinda
Published: May 2018

Concurrent programs have specific features such as italic communication, synchronization and nondeterministic behavior that make the testing activity complex. The objective is to find various types of concurrent defects. In this paper, we have used a model checking tool called Symbolic Path Finder (SPF) which is the upgradation of Java Path Finder (JPF) for concurrent testing. SPF is used for generating the test cases to check concurrent defects such as deadlock, race condition etc. SPF generates symbolic execution tree of the given code which is used as an input for test case generation. The execution is done for finding the test cases in concurrent program where number of threads is operating together with the concurrent defects. The test cases show the type of concurrent defects in the respective line number of the source code.
A Survey of Data Mining Techniques on Information Networks
Authors: Kodali Sadhana , Dabbiru Madhavi , Rao B Thirumala
Published: May 2018

An Information Network is the network formed by the interconnectivity of the objects formed due to the interaction between them. In our day-to-day life we can find these information networks like the social media network, the network formed by the interaction of web objects etc. This paper presents a survey of various Data Mining techniques that can be applicable to information networks. The Data Mining techniques of both homogeneous and heterogeneous information networks are discussed in detail and a comparative study on each problem category is showcased.
An Investigation on android background services for controlling the unauthorized accesses using android LOG system
Authors: Kotecha Jay , P Prabu
Published: May 2018

In the current world of technology, people are updating to smart devices day by day. Users often keep personal information on their smartphones, but it increases the threat to the privacy of their data. There are many applications which require the user data to provide specific services such as WhatsApp, Instagram, Paytm, PhonePe, etc., There are special permissions which can be misused by some applications, like READ_EXTERNAL_STORAGE, READ_SMS, SEND_SMS, WRITE_EXTERNAL_STORAGE, READ_CONTACTS, etc., Many applications take users data to their servers without the knowledge of user by running in the background. In this paper, it is shown that how an application runs in the background by running various services, and performs the background activities like notifications, displaying ads, etc., A proposed algorithm is described that how every activity of the background services can be monitored using Android Log and user can be alerted by showing which data is being accessed by the particular application.
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.
Analysis and Visualization of Data Assimilating Hive and COGNOS Insight 10.2.2
Authors: Virk Mandeep , Chauhan Vaishali , Mittal Urvashi
Published: May 2018

Data analysis is the most grueling tasks in the coinciding world. The size of data is increasing at a very high rate because of the procreation of peripatetic gadgets and sensors attached. To make that data readable is another challenging task. Effectual visualization provides users with better analysis capabilities and helps in deriving evidence about data. Many techniques and tools have been invented to deal with such problems but to make these tools amendable is the main mystification. It is the big data that originated as a technology which is proficient in assembling and transforming the colossal and divergent figures of data, providing organizations with meaningful insights for derivingimprovedresults. Big data is accustomed to delineate technologies and techniques which are used to store, manage, distribute and analyze huge data sheets. The existent of administrating this research is to make the data readable in a more suitable form with less comprehend. Mainly the research emphasizes on the fabrication of using COGNOS insight 10.2.2 for visualizing data and implementing the analyzed results derived from the hive. The assimilation between tools has also been reformed in this research.