bluuebunny/crossref_metadata_2025 huggingface dataset:
Image mosaicing by using random seeds generation based on fuzzy membership function
Authors: Shyafary Darius , H Rony , Malani Rheo , Sartika W Anggri
Published: May 2018

A mosaic is a combination of two or more images with various combining techniques. One of the computer graphics applications is the image mosaic used for various purposes such as texture maps and better image backgrounds. One of the important things in making image mosaic is how to create small pieces of the image in such a way that it produces a good image mosaic. A number of methods have been proposed to build an image mosaic system that produces good mosaic results, but it usually requires complicated calculations. Fuzzy image processing is a form of information processing that input and output both images. This is a collection of fuzzy approaches that understand, represent and process their images, segments, and features as a fuzzy set. In this study, fuzzy image processing concept is used to create image mosaic by random seed generation using Fuzzy Membership Function (MF).
Total asset prediction of the large Indonesian bank using adaptive artificial neural network back-propagation
Authors: . Fariyanti , . Iskandar , Malani Rheo , Suprapty Bedi
Published: May 2018

The bank is a type of company that acts as the executor of monetary policy and as a guarantor of the stability of the financial system of a country. Total assets are an important aspect for a bank to generate net income. Return on Assets (ROA) is a profitability ratio to measure the ability of a bank in generating profits with all investments owned. This study predicts the total assets of the largest banks in Indonesia, referring to the Indonesia Stock Exchange data from 2005 to 2016. The time series data model used is Autoregressive (AR) model and Multi Input Single Output (MISO) Autoregressive with exogenous input (ARX) model. Adaptive Artificial Neural Network Back-propagation (Adaptive ANN-BP) is used as an approximation model of both models.
Artificial Neural Network Optimized Approach for Improving Spatial Cluster Quality of Land Value Zone
Authors: . Haviluddin , Agus Fahrul , Azhari Muhamad , Saleh Ahmar Ansari
Published: May 2018

A geostatistics practical approach is divided data sample into several groups with certain rules. Then, the data groups are used for spatial interpolation. Furthermore, clustering technique is quite commonly used in order to get distance function between sample data. In this study, Self-Organizing Maps (SOM) optimized by using Learning Vector Quantization (LVQ) especially in distance variance have been implemented. The land value zone datasets in Samarinda, East Kalimantan, Indonesia have been used. This study shows that the SOM optimized by LVQ technique have a good distance variance value in the same cluster than SOM technique. In other words, SOM-LVQ can be alternative clustering technique especially centroid position in clusters.
An Optimization of the Autoregressive Model Using the Grid Search Method
Authors: Tahyudin Imam , Nambo Hidetaka , Goto Yoshitaka
Published: May 2018

The purpose of this study is to find the parameters that can produce the best value on the model Autoregressive (AR). The parameter evaluation method used is the Maximum Likelihood Estimator (MLE) and using Grid Search optimization methods. The experimental data used in this study was a sunspot dataset. Based on our analysis, the best Autoregressive model was a 3rd order AR model.
Comparison of the Simple Additive Weighting (SAW) with the Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) methods
Authors: Tahyudin Imam , Rosyidi Rahman , Saleh Ahmar Ansari , . Haviluddin
Published: May 2018

The purpose of this research is to compare the SAW and TOPSIS methods. This research uses data selection of education scholarship in an Indonesian public school. This research uses data from selection of education scholarship program in an Indonesian public school. The methods usage is SAW and TOPSIS methods. A comparison of the two methods using this data set demonstrates that SAW method was more accurate than TOPSIS method.
Minimum wage prediction based on K-Mean clustering using neural based optimized Minkowski Distance Weighting
Authors: Endah Hiswati Marselina , Fanany Onnilita Gaffar Achmad , . Rihartanto , . Haviluddin
Published: May 2018

Minimum Wage is a minimum standard used by employers to provide wages to workers in their business environment. The national minimum wage is the average of the provincial minimum wage. There are many factors need to be considered to set a minimum wage. The aim of this study is to predict the minimum wage based on K-Mean clustering concept. The Minkowski Distance Weighting (MDW) then used to estimate a value at the observation point in a cluster by using a linear combination of values of all cluster members around observation point mapped in 3-dimensional Cartesian coordinates. The prediction result by MDW then optimized by Artificial Neural Network Back Propagation (ANN-BP) to obtain a smaller Mean Absolute Percentage Error (MAPE). The net structure which already trained then used to predict the minimum wage for next year.
The new proposed method for texture modification of closed up face image based on image processing using local weighting pattern (LWP) with enhancement technique
Authors: Fanany Onnilita Gaffar Achmad , Shyafary Darius , H Rony , Baramanto Wicaksono Putra Arief
Published: May 2018

The texture is a two- and three-dimensional design element that is distinguished by the visual and physical properties perceived. Textured areas in the image can be marked with uniform or varying spatial intensity distribution. There are many techniques and methods from simple to sophisticated which available including machine learning-based methods to modify the texture map. The texture feature description becomes a new challenge in the field of computer vision and pattern recognition since the emergence of the local pattern binary method (LBP). This study proposes a new method called Local Weighting Pattern (LWP) for modifying textures based on the pixel's neighborhood of an RGB image. The results of this study obtained that LWP method produces a texture with a unique and artistic visualization. The Log function has been used to improve the image quality of the LWP method.
Net income prediction of several leading bank in Indonesia using neural approach
Authors: . Rofiqoh , Fanany Onnilita Gaffar Achmad , Setyadi Djoko , Hudayah Syarifah
Published: May 2018

The IFRS (International Financial Reporting Standards) defines net income as synonymous with profit and loss. Net income can be used as a consideration for investment decision making for investors who will invest their capital into a company. Net income for the next year cannot be ascertained but can be predicted by using several financial ratios that affect the change in net income. This study tries to predict net income next year by using several financial ratios obtained from four leading banks in Indonesia. The time series data modeling by using Artificial Neural Network (ANN) based Auto-Regressive with Exogenous input (ARX) model. In this study only use one net structure to model time series data in order to improve the efficiency of the model. Back-Propagation (BP) doing backpropagation to fix the weight of each layer of ANN such that to achieve appointed target error.
Modeling of time series data for forecasting the number of foreign tourists in east Kalimantan using fuzzy inference system based on ARX model
Authors: Keliwar Said , Bramanto Wicaksono Putra Arief , Hammad Jehad , . Haviluddin
Published: May 2018

The government agencies require accurate tourism demand forecasts to plan the required tourism infrastructure, such as accommodation location planning and transportation development. Tourism demand forecasts can be viewed from various factors, one of which is the number of tourists per period. Without ignoring the number of domestic tourists, the increasing number of foreign tourists is prioritized by the government to increase the country's foreign exchange. Usually, a tourist destination is to visit some tour objects and need some accommodation and hotel sites to rest. With this consideration, the forecasting number of foreign tourists can be done by using data on the number of tour objects, accommodation and hotel sites, foreign and domestic tourists from the previous period. Data on the number of domestic tourists used to measure the tendency of foreign tourists compared with domestic tourists to all existing tour objects. All data history can be viewed as time series data. Conventionally, many researchers have employed traditional methods of time series analysis, modeling, and forecasting such as ARX (Autoregressive with exogenous input) model. FIS (Fuzzy Inference System) is a system that processes the input mapping formulation provided to produce output using Fuzzy Logic. The aim of this study is to forecast the number of foreign tourists by using FIS through a training process conducted by adapting the number of linguistic variables. All the training data are modeled by using the ARX model.
Deflection prediction of cantilever concrete beam using adaptive fuzzy inference system
Authors: Jepriani Sujiati , . Ibayasid , Prasetya Wibawa Aji , Hernandez Leonel
Published: May 2018

The cantilever concrete beam is a beam made of concrete that is only supported or clamped at one end and the other end free or without the pedestal. The measure to which a structural member gets deviated from the initial position is called deflection. All the internal forces of cantilever beam serve to hold all the external forces due to the load so that the structure remains balanced. While the beam gets deflected under the loads, bending occurs in the same plane due to which stresses are developed. From the moment balance formula after integrated and solved with required boundary conditions, we get the downward deflection of beam. Fuzzy logic provides an inference structure that enables appropriate human reasoning capabilities. FIS (Fuzzy Inference System) is a system that processes the mapping formulation of a given input to produce an output using Fuzzy Logic. By using randomized data for all the variables of deflection formula within their respective ranges as training data, the FIS will be able to predict deflection of cantilever concrete beam after going through the training process adaptively.
Line Follower Robot Optimization based Fuzzy Logic Controller Using Membership Function Tuning
Authors: Supriadi Supriadi , Rizal Ansar , Susilo Budi Utomo Didi , Wajiansyah Agusma
Published: May 2018

The study was aimed to measure the performance of Fuzzy Logic Controller (FLC) on Line Follower Robot (LFR). FLC output is a deviation value of Pulse Width Modulation (PWM) to determine the rotational speed of the left and the right wheel. As input variables are current and previous line sensors. Tuning was applied to input and output variables in each membership function (MF) to conduct the best performance. This study used triangular membership function that consists of three MF. Mamdani Fuzzy Inference System (FIS) is used using nine rules. The result obtains that after MF tuning, the performance of the LFR settling time is 0.63s faster compare to that without tuning.
Selection of the best supply chain strategy using fuzzy based decision model
Authors: . Surahman , Viddy Arkas , Fanany Onnilita Gaffar Achmad , . Haviluddin , Saleh Ahmar Ansari
Published: May 2018

The right strategy in the supply chain has become strategic issues are important today because the nature of these decisions is usually complex and unstructured. There are many quantitative and qualitative attributes such as cost, responsiveness, and flexibility that need to be taken into account to determine the best supply chain strategy. Assessment of all attributes as mentioned is usually through a human evaluation process involving many subjectivity and uncertainty factors. In addition, the complexity of the problems directly related to each attribute used as an assessment increases the problem of uncertainty. Fuzzy MCDM (Multi Criteria Decision Making) is one of the MCDM methods that use a fuzzy approach to overcome complexity and uncertainty of the problem. Today the market has been able to witness a worldwide expansion and dynamic situation by leveraging new innovations in production methodology and information technology. With this new innovation, the market can increase demand for products tailored to minimum cost with minimum waiting time. Lean and agile are two chain strategy concepts evolved in the pursuit of business excellence, while the concept of leagile is in between. This study aims to select the best supply chain strategy (lean, leagile, agile) at a manufacturing company in Samarinda – East Kalimantan based on certain criteria by using Fuzzy MCDM.
Implementation of data frame work system based on model driven architecture for MAS and Web based applications
Authors: Nennuri Rajasekhar , Krishna Chaitanya Atmakuri , Prasanthi Malyala Lakshmi
Published: May 2018

To utilize those Incomprehensible measures from claiming data effectively on the Web to make the data transforming intelligent, customize Furthermore programmed will be those A large portion vital requisitions of the present information mining innovation organization. Model driven Architecture (MDA) which will be utilized for code era need huge numbers profits In conventional product improvement routines. In this paper, Web information mining transform is acquainted from the see for function, a canny mining framework from claiming data is based for joining together those information mining. The idea of Web information mining is presented the place the part of MDA may be characterized. MDA utilizing J2EE (Java to Enterprise Edition) on portray conduct about operators need aid utilized within this suggested structural engineering. Struts skeleton gives a standard to Creating MAS (multi-agent systems) and Web based requisitions
Urban Climate Monitoring System with IoT Data Analytics
Authors: Rajasekhara Naidu G , Venkat ram N
Published: May 2018

Climate monitoring was one of the important thing that should be monitored thoroughly and it plays an important role in every person’s life and his surroundings. Due to the increase of factories, vehicles there are so many drastically changes in the climate like increasing of temperature, humidity and the quality of air. In this paper we are designing a climate monitoring system that which detects temperature, humidity, and monitoring the air-quality. Coming to air quality we are mainly concentrating on detecting carbon-monoxide and some pollutants. The information can be checked with gadgets like PC, versatile, tablet through Thingspeak information examination.
Provide a secured automatic program algorithm for DNA sequence storage arrangement in cloud
Authors: Geetha G , Surekha G , Aditya Sharma P , Uma Shankari E
Published: May 2018

The primary target of this paper is to provide a secured implementing algorithm for hiding DNA sample sequence data confidently by using special software in cloud computing environments. The suggested algorithm here for hiding DNA sequences is based on binary coding and complementary pairing rules. Hence DNA reference sequence is taken as a sample secret data with a notation of M. But after applying some steps the final result obtained in cloud environment is M’’’. The procedure of identifying or extracting the original data M from the hidden DNA Reference sequence is depended on the user if and only if the user wants to use the data for process. Likewise there are security issues for the manipulating from claiming information. In this way that accessible user’s information arrangement may be isolated under SPs in such a way that it has to reach minimum number of specified threshold SPs number from the whole data block. In this paper, we recommend A low cost secured and multi- cloud storage  (SCMCS) model over cloud computing which holds an prudent appropriation about information Around the accessible SPs in the market, with gatherings gives client information accessibility and additionally secure capacity.
Floating Point Multiplication Based on Schonhage Strassen Algorithm
Authors: Srikanth B , Siva Kumar M , Hari Kishore K
Published: May 2018

In this paper, the single precision float point multiplication is performed using the Schonhage Strassen Algorithm. There are several types of floating point multiplications like Karatsubha and Toom cook. The Schonhage Strassen algorithm is conventionally a fixed point integer multiplication algorithm. The main advantage of the Schonhage Strassen multiplication is that, the multiplication of integer values greater than 5 digits ranging from 2215 to 2217 bit values proves to be efficient. The validation of the proposed floating point multiplication is done using FPGA real time implementation. The analysis of parameters like area and power are evaluated.
Factors of employability skills of engineering graduates: An analytical study using Friedman Test Multiple Regression
Authors: Roja Rani V , Kishore Babu M
Published: May 2018

Employability skills and placement rate becomes the buzz words to bench mark for the quality of engineering education among the technical institutes in the country. The gap between pass out ratio and placement ratio among the engineering graduates is alarming and indicating the poor levels of skill set of the engineers. The reasons for the same are many and multifold. The present paper is focused on studying the role of personal factors, life skills factors, teaching and learning factors, and evaluation systems and improvement practices environment in the employability of the engineering graduates from Hyderabad city. For the purpose of the study, selected students from the engineering colleges in the city are drawn as sample using judgment sample method. The study is descriptive and exploratory in nature. The sample size for the study is fixed at 600 and the final analysis is done with 512 samples. The data required for the study is collected through a pretested structured questionnaire. All the students are from eighth semester and appearing for placements. Some of the students are already placed and waiting to complete the course. The combination of the experiences in the interviews and the skill gaps observed in the self assessment is presented.The study results reveal that, life skill factors, teaching learning and evaluation systems are highly important in employability skills of the engineering graduates. The relationship between the employability and the selected variables are highly significant at 1% level of significance. A structured practical sessions and application oriented training along with practical sessions and strict evaluation systems along with options for improvement can help the students to realize and learn the required skills and there by improved level of employability among the engineering graduates in the sample. Further, it indicates the need for revamping the old pedagogy and adoption of new ICT and CTT in teaching learning processes can help in resolving the issue at the earliest possible time. The role of a teacher can never give up in training and molding the young graduates of any selected field of study. The teacher issues  in this sector needs a special care and concern to get the improved level of professional deliverables and service quality among the technical institutions in the field.
Agent based secure intrusion detection and prevention for rushing attacks in clustering MANETs
Authors: Aranganathan A , D. Suriyakala C
Published: May 2018

Intrusion detection is one of challenging issues in wireless networks. The inherently vulnerable characteristics of wireless mobile ad hoc networks make them susceptible to attacks in-spite of some security measures, and it may be too late before any counter action can take effect. As such, there is a need to complement security mechanisms with efficient intrusion detection and response systems. This paper proposes an agent-based model to address the aspect of intrusion detection in cluster based Mobile ad hoc network environment. The model comprises of mobile agents, which are used to detect intrusions, respond to intrusions, mainly preventing the routing attacks while securing them and distributing selected and aggregated intrusion information to all other nodes in the network in an intelligent manner to compensate the attack. The model is simulated to test its operation effectiveness by considering various performance parameters such as, packet delivery ratio, communication overhead, throughput. It implements a secure detection and prevention technique that contains the Blowfish algorithm which is a symmetric encryption and decryption algorithm having a secure standard till date against attacks to make the network transmission secure while monitoring malicious nodes and preventing them from compromising the integrity of the network. Agent based approach facilitates flexible and adaptable security services. Also, it supports component based software engineering components such as maintainability, reachability, reusability, adaptability, and flexibility.
Student Career Prediction Using Advanced Machine Learning Techniques
Authors: Sripath Roy K , Roopkanth K , Uday Teja V , Bhavana V , Priyanka J
Published: May 2018

As students are going through their academics and pursuing their interested courses, it is very important for them to assess their capabilities and identify their interests so that they will get to know in which career area their interests and capabilities are going to put them in. This will help them in improving their performance and motivating their interests so that they will be directed towards their targeted career and get settled in that. Also recruiters while recruiting the candidates after assessing them in all different aspects, these kind of career recommender systems help them in deciding in which job role the candidate should be kept in based on his/her performance and other evaluations. This paper mainly concentrates on the career area prediction of computer science domain candidates.
Secure message exchange using text to image encoding
Authors: Barik Swastik , Manikanta Sai J , Prasannanjaneyulu Reddy Ch , Kalyan Chakravarthy P
Published: May 2018

The work focuses mainly on data security problems while transferring data through a network, using text-to-image encryption. This         approach creates an image out of the textual data using steganography, which allows the sender and the intended recipient to hide their confidential data while transmitting through the network. First, binary representations of the text data are made, then the binary data is used to create an image by using it as pixel intensities. This image is then merged with a colour image to obtain the final encrypted image. The main objective of the work is to demonstrate an encryption scheme that is reliable and easy to implement.
Data hiding using bit plane complexity segmentation steganography
Authors: Chandra Sekhar M , K. Chandini S , Sai Rohith V , Jhansi Lakshmi V , Pavan Kumar M
Published: May 2018

Steganography is the basis of information covering the puzzle in some other data (we call it the ship), leaving no obvious evidence of data change. Most conventional steganographic strategies is limited data that hide the limit. They can cover up just 10% (or less) of the information measures of the vessel. This is on the grounds that the standard of those procedures was either to supplant an uncommon piece of the recurrence parts of the vessel picture, or to supplant all the slightest critical image bits with a secret multi-valued data. Our new Steganography uses the image as vessel information, and we enter the data in the bit-plane mystery vessel. This strategy makes use of human attributes, through which people cannot see the structure of any form of data exclusively damned pair, for example. We can replace most of the «Commotion like" regions in the bit-planes of the puzzle vessel image data without deteriorating the quality of the photos. We called our steganography "BPCS-steganography," which remains a Bit-Plane Complexity Segmentation steganography.
Power quality and custom power improvement using UPQC
Authors: Swapna Sai P , G. Rajasekhar G , Vijay Muni T , Sai Chand M
Published: May 2018

The Series and Shunt units don’t have a typical dc link. So their control systems not exactly as same as the traditional UPQC control strategies.This device can improve power quality and composes power electronic series which was in MV/LV Substation, alongside a few electronic-shunt units associated near the end users.Additionally, the increment in power quality can be given to the users we require the shunt units.It reduces the disturbances for all customers that supply main series unit. It provides the customerwith the shunt units. A proposed solution model of LV grid is 400-KVA is considered as steady-state performance and functionalizing units. Outcomes acquired under enduring state conditions justify the design picked and great gadget execution.
Design of Frequency Reconfigurable Antenna Working in Ka Band
Authors: Siddhanth Sahu N , Mohith B , Nikhil G , Ch. Sri Kavya K , K. Kotamraju Sarat
Published: May 2018

In this study of reconfigurable antenna technology is presented. The important applications that can be used with the reconfiguring techniques, studying the history of this technology in brief literature survey is examined. A detailed information on the technique background information are specified, reviewing the different reconfigurable components, which can be used in an antenna to adjust its functionality and construction. These reconfigurable antenna techniques are divided with a different classification method and explain whichever established on the physical changes of the reconfigurable antenna radiating parts, or on the integration of varactors, photoconductive components, PIN diodes, or on the function of materials etc. the designed covers the Fixed-Satellite (space-to-Earth), Mobile satellite 19.7GHz to 20.2GHz applications.
An efficient approach to predict emergency calls and locations
Authors: V.S. Narayana G , Venkatesh T , Mourya P , Ramya B
Published: May 2018

Big data stands for huge set or collecting information which can't be prepared by modern techniques, for example, data processing. Ex- mining enormous information has the quality in the arena of interpersonal organizations, spot business patterns, web, drug, science, fund, commerce informatics and indeed in government. Dissecting information would assistance in extraordinary basic leadership, which may achieve change happening productivity, diminishment in cost and disappointment dangers. Enormous information examination turns into an awesome hunger for the creating associations since it winds up plainly troublesome for those associations to process a excess of tera bytes of information. Huge information investigation even discovers its request in considerate the purpose behind regular or man influenced failures by gathering enormous information keeping in observance conclusion to recuperate from the catastrophe and to develop the correspondence since correspondence is the primary test that the common people face while confronting sudden failures..
Performance Evaluation of Thermal Enhanced Oil Recovery by In-situ Combustion
Authors: Sairam D , Reshma G , P Arjun , Deepu Y
Published: May 2018

Thermal methods of enhanced oil recovery and especially the in-situ combustion known to the efficient methods among the known enhanced oil recovery methods. In this method heat is added to the reservoir to reduce the oil viscosity. So, that it can be more efficiently driven to the producing well. However the experimental analysis of ISC to understand its operation is known to be expensive. Therefore we have developed a 1D model using STARS module of CMG where in we have Cartesian grid. To this we have given and given i, j, k values. Later porosity, Temperature and initial pressures are given. For setting the well we have used injector and producer. After checking errors we have validated the model. It is evident from the performance plots that the temperature along the core is a function of the gas injected and the oil saturation. However the as the temperature moves along the reservoir from injection well the oil saturation is observed to decrease in the vicinity of the well and start to build away from the injection well towards the production well. This is work provides a platform to understands the combustion propagation and its role in improving the oil recoveries
Provide security for wireless mobile networks with different multiple access Techniques and MANET Network
Authors: Uma Shankari E , Rajashekhar Reddy S , Aditya Sharma P , Geetha G
Published: May 2018

The most recent versatile innovation of new features in mobile technology is needed for advancement of the Internet, for the features of better, quicker access of information. Cell division subscribers pay additional costs for instant messaging, stock quotes, and Furthermore easy internet access on their phones. In order to support such a capable system, we need pervasive, high-speed remote connectivity. Bluetooth and 802.11 are currently existing techniques for providing high speed digital wireless connectivity. The extension of 4G technology gave scope for mobile communications. Mobile is not only a portable talking gadget but also utilized for multiple distinctive purposes.4G offers higher data rates for consistent roaming. That portable mobile client might communicate without any disturbance due to network problems. In this process report we discuss different tests that 4G will facing and also gives the solutions for those problems. We recommend our own method for enhancing QoS On 4G eventually by utilizing both SMIP and SIP. We recommend that by utilizing such plan we might accomplish better QoS throughout that process of handover.
Regular pattern mining on multidimensional databases
Authors: Sreedevi M , Harika V , Anilkumar N , Sai Thriveni G
Published: May 2018

Extracting general patterns from a multidimensional database is a tricky task. Designing an algorithm to seek the frequency or no. of occurring patterns and really first-class transaction dimension of a mining pattern, general patterns from a multidimensional database is the objective of the task. Analysis prior to mining required patterns from database hence, Apriori algorithm is used. After the acquiring patterns, they have been improved to many further patterns. Nevertheless, to mine the required patterns from a multidimensional database we use FP development algorithm. Here, now we have carried out a pop-growth procedure to mine fashionable patterns from multidimensional database established on their repute values. Utilizing this opportunity, we studied about recognizing patterns which give the reputation of every object or movements inside the entire database. Whereas Apriori and FP-growth algorithm is determined by the aid or frequency measure of an object set. As a result, to acquire required patterns utilizing these programs one has to mine FP-growth tree recursively which involves extra time consumption. We have utilized a mining process, which is meant for multidimensional recognized patterns. It overcomes the limitations of present mining ways by implementing lazy pruning method followed by showing downward closure property.
Light weight encryption algorithms for wireless body area networks
Authors: Radhika Rani CH , Sai Jagan Lakku , Lakshmi Harika Ch , V. Durga Ravali Amara V
Published: May 2018

Wireless Body Area Network (WBAN) emerges as a major network in today’s world. WBAN comprise of sensors used for applications like health monitoring, military, etc. These sensors are embedded within or out of the body. Security is a major factor in WBAN’s and hence it is essential to provide security for patient’s data. So we study about various encryption algorithms in this paper to provide                 security. The WBAN comprise of body sensors in which the energy resources are limited and since consumption of energy will be more it is essential to go for light weight algorithms to provide security and decrease energy consumption.
Decentralized weather monitoring system for smart cities
Authors: Sripath Roy K , Sowmya S , Manasa M , Alekhya D , Abhinav P
Published: May 2018

Internet of things involves monitoring as one of its major applications. It mostly includes condition-based decisions without human intervention. Monitoring systems continuously read the data from sensors, upload the data to a database and take appropriate decisions when they encounter an abnormal data. This provides a good basis for the IoT control systems which now are mostly common. This paper explains the solution to replace the single server system which means a centralized system with an individual server system which is a decentralized system. A decentralized system provides high security to the data and ensures data privacy which centralized systems fail to do. This decentralized system involves maintaining own server but ensuring the availability of data & communication without loss of privacy, ensuring minimization of security threats. This application involves building of a collective application on an android platform to present the data to the users based on the user hierarchy defined. The app provides high security through authentication based on the rights that user possesses. This app is designed to continuously monitor the air pollution in the areas across the city and give alerts or notifications whenever the pollution level reaches to a threshold. Additionally, the app monitors temperature and humidity level. Analytics are performed on the data from sensors and a graph is plotted as the value of a parameter across time. Separate graphs are plotted for each parameter. A user with administrator privilege can view the data of all the areas whereas a user from a single location or a user with general privilege gets the data of his own location.
Reconfigurable antenna design for soil testing to improve soil quality
Authors: Dinesh Kumar R , P. Ramesh G
Published: May 2018

The Multi-band Reconfigurable antenna used to achieve the different frequency with low return loss. It achieves the variety applications like soil testing using the antenna data transmission and makes the quality of the soil to improve the production. Effectiveness of the work used to propose that the antenna designed to sense the chemical content of the soil and report the data with the frequency of 2.4 GHz to the operator, which makes the operator to have good crop at the right time. This antenna design also used to have the different frequency of data transmission in the single structure, it produces the frequencies likeWLAN at 1.5GHz, GPS at 2.4GHz, WiMAX at 3.27 GHz and Wi-Fi at 5.17 GHz, which designed using the T-shaped stub and two E-shaped stubs. The Existing antenna can transmit only three frequencies with 70% output efficiency but the proposed antenna design can transmit four different frequencies with 80.5% output efficiency. The simulated and the measured results of four investigated bands are lies between -12.3 dB and -15.5 dB with the Bandwidth of 10KHz which show that the antenna has better performance in all frequency bands. It offers the radiation Patten, return loss, peak gain and efficiency at low cost with high accuracy using microstrip patch antenna.
Milk quality testing using intelligent inference performance evaluation system integrated with IoT
Authors: Suresh Babu G , Rama Krishna V , Dharma Teja V , Balraj Yadav S
Published: May 2018

One of the major used food item in day to day life is milk. Many large-scale industries are in the distribution of milk products. Quality of milk is one of the major factor in the food processing system and customers appreciate quality products. IoT is revolution and it is using extensively in our day to day life.  Our project is about maintaining the quality of the milk as it’s a perishable product. In this paper we concentrated on how the milk is depending on the different factors available in it and each one effects the quality. An attempt is made to analyze the data from the sensors with IoT used in the milk production with the help of Artificial Neural Network (ANN). The results are exhibited through an example.
Social interaction assistant: social interactions for individuals with visual impairments
Authors: Rajeswarao D , Hari Priya A , V.S. Nikhileswar P
Published: May 2018

Effectively inside an intelligent setting is a fundamental need for proficient satisfaction and in addition individual achievement. People with visual weakness confront broad requesting circumstances in social dispatch, which if unmitigated social interaction is a critical factor of human delight in. The capacity to connect with others and talk, can likewise cause long lasting requirements for sizable social and money related help. Tragically, these days' media innovations to a great extent oblige the requirements of the "proficient" people, bringing about arrangements that for the most part meet the desires of that group. People with inabilities (which incorporates obvious disability) have in expansive part been missing inside the design procedure, and must adjust (consistently unsuccessfully) to accessible arrangements. On this paper, we advocate a social interchange partner for the individuals who are visually impaired or outwardly disabled, utilizing the viola jones confront recognition system fusing novel commitments additionally, individuals with visual weaknesses frequently have specific necessities that require a customized, versatile strategy to sight and sound registering. to manage this undertaking, our proposed arrangements region accentuation on understanding the man or lady shopper's needs, anticipations and adjustments toward outlining, developing and sending powerful interactive media arrangements. Our observational outcomes uncover the tremendous limit in the utilization of character focused on sight and sound responses to advance the lives of individuals with inabilities and in this paper we likewise specified the question recognition additionally where it is utilized for the outwardly debilitated for the route reason. The primary goal of this paper is to distinguish the face in the pictures and furthermore identify the articles utilizing the viola-jones calculation.
A fabric architecture towards block chain application using hyper ledger
Authors: Haseeb Md , Raja Sekhar K , V. Spandana Y , Syam M
Published: May 2018

Block chain is a trust which can be best understood by the state machine replication, It is decentralized distributed ledger which is along all peers in the network connected through nodes over Internet. Every Node in the chain have equal stake and also the main factor is every node which have greater CPU cycles has a chance to operate node by spending those CPU cycles and also show Proof Of Work. Hence when the block chain is used in Business Models it loses its Private transactions and Confidential Contracts.
Secure automated threat detection and prevention (SATDP)
Authors: Ramaiah CH , Adithya Charan D , Syam Akhil R
Published: May 2018

Secure automated threat detection and prevention is the more effective procedure to reduce the workload of analyst by scanning the network, server functions& then informs the analyst if any suspicious activity is detected in the network. It monitors the system continuously and responds according to the threat environment. This response action varies from phase to phase. Here suspicious activities are detected by the help of an artificial intelligence which acts as a virtual analyst concurrently with network intrusion detection system to defend from the threat environment and taking appropriate measures with the permission of the analyst. In its final phase where packet analysis is carried out to surf for attack vectors and then categorize supervised and unsupervised data.  Where the unsupervised data will be decoded or converted to supervised data with help of analyst feedback and then auto-update the algorithm (virtual analyst). So that it evolves the algorithm (with active learning mechanism) itself by time and become more efficient, strong. So, it can able to defend form similar or same kind of attacks.
A secure attribute-Based encryption scheme in cloud computing
Authors: Vurukonda Naresh , Trijan kumar S , Rajasekhar Reddy J , Adithya A , Babu Boddu Sekhar
Published: May 2018

Singular Health care record ensuring the consolidated server to keep up the patient near and dear and SHR organizations are redistributed to expert centre. The main reason is about health report. The patient mainly wants to control the offering kept up to high assurance and security. The security game plans are used to shield the individual information from group. Calm data can be gotten to by an extensive variety of people. Each master is consigned with get to approval for a particular plan of characteristics. For that we are using four entities which are Data owner, End user, and key distribution centre and cloud service provider. In order to achieve fine-grained and versatile data get the chance to control for SHR`s, we utilize Attribute-Based Encryption (ABE) frameworks to encode each patient SHR report. Distinctive data proprietors approach comparative data regards. The prefer plan could be extended to Hierarchical Attribute-Based Encryption (HABE) for get the chance to control instrument.
Robust and brittle secured video for IOT
Authors: Lakshmi Narayanan K , P. Ramesh G , Divya V
Published: May 2018

In this paper the system is mainly designed for the  military purpose security since now-a-days securing our military has become a difficult task .our live is mainly dependent on other objects mainly we are computer based living and digital image processing plays a vital role in it. This process has much advantage as well as some disadvantage. A VLSI circuit is built with many millions of IC chip, so it is considered to be indivisible for the construction purpose. The internet-of things (Iot) is a electronic device which is connected to the vehicle and the building item which is used to generate many secured techniques which is connected with the software, electrical, electronics and mechectronics devices and human recourses also. Better Portable Graphics Algorithm with a Context-Adaptive Binary Arithmetic Coding (CABAC) encoding algorithm is used in the existing system this process is affected by the Gaussian noise, low compression ratio and time delay to overcome above issues and  enhanced with Secure Better Portable Graphics (SBPG) compression algorithm with HEVC is present .The proposed architecture is suitable for high performance imaging in the Iot and for the high quality compression files and secured transformation of image and video captured in the digital camera. Encryption and watermarking are the two technique used in the process. The watermarking technique is more secure than the previous system. This process produces high quality JPEG, and high PSNR ratio. The scrambling algorithm is used in the encryption process. It is used for providing secured image.
Multi-class Emotion AI by reconstructing linguistic context of words
Authors: Sripath Roy K , Ahmed Shaik Farhaan , Uday Kiran K , Naga Teja M , Kurra Subhani
Published: May 2018

In today’s technological world, Social networking websites like Twitter, Instagram, Facebook, Tumblr, etc. play a very significant role. Emotion AI is about dealing, recognizing and analyzing sentiments or opinions conveyed in a person’s text. In particular Emotion is most frequently called Sentiment analysis. It helps us to understand the people’s point of view. A vast amount of sentiment rich data is produced by Social networking websites in the form of posts, tweets, statuses, blogs etc. Some users post reviews of certain products in social media which influences customers to buy the product. Companies can use such review data analyze it and improve the product. Sentiment analysis of Twitter is troublesome correlated to other social networking websites because of the existence of a lot of short words, misspellings and slang words applying emotion analysis to such data is more challenging. We have classified the sentiment into 5 categories. Machine learning strategies are preferred mostly for analyzing emotion AI. We have used neural network model word2vec with TF-IDF approach to predict the sentiment of the tweet.
An advanced frequent closed sequences using BIDE
Authors: Vineela K , V.B.T. Santhi M , V.V. Gowtham Srujan N , Ashok V
Published: May 2018

According to the past reasearches which produced few argumented stating that the frequent mining algorithm should only be closed but not frequent, as it not only results in compact but also complete results, and also in greater effectiveness. Most of the previous algorithms have mainly provided a direct test strategy to detect. In this article, we provide an Advanced BIDE, which is an effective algorithm used for processing query methods frequently closed. BI-Directional extension algorithm is better in pruning or filtering the search space when compared to any other algorithm. It is related to the calculation of frequent samples of search engines by parent-child relationships. An experimental study based on a variety of real historical data demonstrates the effectiveness and measurability of A-BIDE on the known alternatives of the past. It can also be scaled in terms of size of a query.
A Secured IoT Based Advanced Health Care System for Medical Field using Sensor Network
Authors: Nalajala Paparao , Bhagya Lakshmi S
Published: May 2018

In day to day life health awareness and controlling system is important to monitor those patient’s physiological parameters frequently. In the recent health awareness environment those usage of IOT innovation organization acquires accommodation of professionals and also patients, since they are connected to different medical fields. A sensor node needs to be arranged on the apparent of the patient body will gather the entire signal from those wireless sensor and also send them of the body sensor node. Those connected sensor nodes on the patient’s body can make in the structure of a wireless body sensor network furthermore they have the capacity with sense those heart beat rate, temperature of surroundings. That basic focus to this system may be on transmitting the individuals’ patient’s health watching parameters through wireless communication in crucial conditions. We propose a secure IOT built health awareness monitoring and will check that saline level of the patient.
A Novel concept on 8-Transistor Dynamic Feedback Control on Static RAM Cell Array
Authors: Renukarani S , Godavarthi Bhavana , Bia Roshini SK , Khadir Mohammad
Published: May 2018

A novel idea of 8-Transistor (8T) static random access memory cell with enhanced information stability, sub threshold operation may be outlined. Those prescribed novel built single-ended for dynamic control 8 transistors static RAM (SRAM) cell enhances the static noise margin (SNM) to grater low energy supply. The suggested 8T takes less read and write power supply compared to 6T. Those suggested 8T need higher static noise margin than that from 6T. The portable microprocessor chips need ultralow energy consuming circuits on use battery to more drawn out span. The power utilization might be minimized utilizing non-conventional gadget structures, new circuit topologies, and upgrading the architecture. Although, voltage scaling require of the operation completed over sub threshold for low power consumption, and there will be an inconvenience from exponential decrease in execution. However, to sub threshold regime, that data stability of SRAM cell might a chance to be a amazing issue and worsens for those scaling from claming MOSFET ought to sub-nanometer engineering technology.