bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiple Sensor Application Using Secure Data Aggregation
Authors: .G Sasikala , .S Vinodhkumar 
Published: June 2018

For wireless sensor networks, data aggregation scheme that reduces a large amount of transmission is the most practical technique. In previous studies, Homomorphic encryptions have been applied to conceal communication during aggregation such that enciphered data can be aggregated algebraically without decryption. Since aggregators collect data without decryption, adversaries are not able to forge aggregated results by compromising them. However, these schemes are not satisfy multi-application environments. Second, these schemes become insecure in case some sensor nodes are compromised. Third, these schemes do not provide secure counting; thus, they may suffer unauthorized aggregation attacks. The problem of present study entitled as “MULTIPLE SENSOR APPLICATION USING SECURE DATA AGGREGATION”. Therefore, a new concealed data aggregation scheme is proposed to extended from Homomorphic public encryption system. The proposed scheme has three contributions. First, it is designed for a multi-application environment. The base station extracts application-specific data from aggregated cipher texts. Next, it mitigates the impact of compromising attacks in single application environments. Finally, it degrades the damage from unauthorized aggregations. To prove the proposed scheme’s robustness and efficiency, we also conducted the comprehensive analyses and comparisons in the end. I also include the timer which is used to the base station can detect the attacker entering into the system and sends the indication message to sensor node.
A Review on Heart Disease Detection Techniques
Authors: Anika . , Kaur Navpreet 
Published: June 2018

The paper exhibits a formal audit on early detection of heart disease which are the major cause of death. Computational science has potential to detect disease in prior stages automatically. With this review paper we describe machine learning for disease detection. Machine learning is a method of data analysis that automates analytical model building.Various techniques develop to predict cardiac disease based on cases through MRI was developed. Automated classification using machine learning. Feature extraction method using Cell Profiler and GLCM. Cell Profiler a public domain software, freely available is flourished by the Broad Institute's Imaging Platform and Glcm is a statistical method of examining texture .Various techniques to detect cardio vascular diseases.
Routing Optimization with Efficient Second Order Distributed Approach Using Congestion Control Rules
Authors: Sebastiyar Jaya Pratha , Joseph Martin Sahayaraj 
Published: June 2018

Distributed joint congestion control and routing optimization has received a significant amount of attention recently. To date, however, most of the existing schemes follow a key idea called the back-pressure algorithm. Despite having many salient features, the first-order sub gradient nature of the back-pressure based schemes results in slow convergence and poor delay performance. To overcome these limitations, the present study was made as first attempt at developing a second-order joint congestion control and routing optimization framework that offers utility-optimality, queue-stability, fast convergence, and low delay. Contributions in this project are three-fold. The present study propose a new second-order joint congestion control and routing framework based on a primal-dual interior-point approach and established utility-optimality and queue-stability of the proposed second-order method. The results of present study showed that how to implement the proposed second-order method in a distributed fashion.
POS Transaction Security Using Dual Authentication without PIN
Authors: Baggam Durga Shankar 
Published: June 2018

Credit card fraud is one of the considerable issues. We had come across various loses in digital revenue in our day to day life. Credit card information should be hidden. Hidden cameras at merchant location are common, for many security purposes. Card and PIN at Point Of Sale breaches the security of PIN when used in crowded merchant payment location .PIN is mandatory to authenticate the digital transaction at POS. There may be many solutions suggested by researchers of this kind. In this paper author propose a dual authentication without sharing his PIN. This approach protects the user from shoulder-surfers and partial observation attacks.
A Mobility Based Pdorp Routing Protocol Based Upon Gradient Matrix
Authors: Singh Mandeep , Bhatia Rekha 
Published: June 2018

PDORP is one of the heuristic enhancement technique and a subset subject of swarm knowledge. PDORP depends on recreating the idea of how water drops consolidate to shape waterways and streams thusly join to join the Sea by choosing the most limited way in light of heights of the land through which they stream. The basic approach of this protocol (and all other on-demand routing protocols) amid the course development stage is to set up a course by flooding Route Request parcels in the system. The objective center point, on tolerating a Route Request distribute, by sending a Route Reply package back to the source, which passes on the course explored by the Route Request package got. In the proposal an approach is defined for energy efficiency and reduction in data dropped in the WSN network. In PDORP algorithm a subset is defined, in which if a single node in that subset is died out then the whole subset have to be replaced. A modification in the PDORP algorithm is made to achieve the objectives of the research in which an energy threshold set for each node. In case of the proposed approach with the low energy in the subset of network the neighbor nodes of the subset can cover the area of the died node. The proposed approach is defined on the basis of Ant Colony Optimization using which the algorithm become more energy efficient. In this way the data dropped due to the replacement of the subset may be reduced so there is a reduction in the energy dissipation.
Investigational Studies on Quantity of Salinity in Netravati River Estuary Sand-Coastal Karnataka
Authors: P Raveesha , Prakash K. E. , Babu B. T. Suresh 
Published: June 2018

The salt water mixes with fresh water and forms brackish water. The brackish water contains some quantity of salt, but not equal to sea water. Salinity determines the geographic distribution of the number of marshes found in estuary. Hence salinity is a very important environmental factor in estuary system. Sand is one major natural aggregate, required in construction industry mainly for the manufacture of concrete. The availability of good river sand is reduced due to salinity. The quality of sand available from estuarine regions is adversely affected due to this reason. It is the responsibility of engineers to check the quality of sand and its strength parameters before using it for any construction purpose. Presence of salt content in natural aggregates or manufactured aggregates is the cause for corrosion in steel. In this study the amount of salinity present in estuary sand was determined. Three different methods were used to determine the salinity in different seasonal variations. The sand sample collected nearer to the sea was found to be high in salinity in all methods. It can be concluded that care should be taken before we use estuary sand as a construction material due to the presence of salinity.
Ecope: Task Aware Workload Elastic Scheduling and Customization for Infrastructure
Authors: Banu Shifaliya , Prabakar M. 
Published: June 2018

In the past several years, the development in non functional requirement such as CPU and memory has been done. Due to the workload characteristics the energy efficiency of non functional component has made a large coverage. We develop Ecope to attain energy proportionality for different methods of services of virtual machine in data centres’ decrease non functional energy for servers in large data centers. Demonstrate three input methods to illustrate our concept to real world services such as file processing, backend services and content processing. These services are applying on virtual machine in large data centers. In short, our aim is to recognize the preeminent non functional configuration among various workloads.
T (1,2)*-SPACES
Authors: Thamilisai A. , Brindha S. 
Published: June 2018

In this paper we discussed about A bitopological space X is called an gT (1,2)*-space if every (1,2)*-g-closed set in it is (1,2)*-closed. And A bitopological space X is called a T (1,2)*-space if every (1,2)*-closed subset of X is τ1,2-closed in X. and we are also going to prove that Every (1,2)*-αTb-space is T (1,2)*-space but not conversely
Power Quality Events Classification using ANN with Hilbert Transform
Authors: Chheepa Tarun Kumar , Manglani Tanuj 
Published: June 2018

With the evolution of Smart Grid, Power Quality issues have become prominent. The urban development involves usage of computers, microprocessor controlled electronic loads and power electronic devices. These devices are the source of power quality disturbances. PQ problems are characterized by the variations in the magnitude and frequency in the system voltages and currents from their nominal values. To decide a control action, a proper classification mechanism is required to classify different PQ events. In this paper we propose a hybrid approach to perform this task. Different Neural topologies namely Cascade Forward Backprop Neural Network (CFBNN), Elman Backprop Neural Network (EBPNN), Feed Forward Backprop Neural Network (FFBPNN), Feed Forward Distributed Time Delay Neural Network (FFDTDNN) , Layer Recurrent Neural Network (LRNN), Nonlinear Autoregressive Exogenous Neural Network (NARX), Radial Basis Function Neural Network (RBFNN) along with the application of Hilbert Transform are employed to classify the PQ events. A meaningful comparison of these neural topologies is presented and it is found that Radial Basis Function Neural Network (RBFNN) is the most efficient topology to perform the classification task. Different levels of Additive White Gaussian Noise (AWGN) are added in the input features to present the comparison of classifiers.
A Discussion of Finite State Machine in String Search Based on Function & Class FSM Implementations
Authors: M.O Lawerence , O.O Adewole 
Published: June 2018

The simplest type of computing machine that is worth considering is called a ‘finite state machine’. As it happens, the finite state machine is also a useful approach to many problems in software architecture, only in this case you don’t build one you simulate it. Essentially a finite state machine consists of a number of states – finite naturally! When a symbol, a character from some alphabet say, is input to the machine it changes state in such a way that the next state depends only on the current state and the input symbol. Notice that this is more sophisticated than you might think because inputting the same symbol doesn’t always produce the same behaviour or result because of the change of state. A few examples based on the C++ implementation of the finite state algorithm based on the function & class objects is presented.
Species Composition of Mangrove Forests in Olingan Creek- A Reference for Integrated Coastal Management
Authors: Guillena Ma. Dulce C. , Naguit Ma.Rio , Aquino Jane T. 
Published: June 2018

Mangroves shares specialized attributes for growing with excess saltwater, and for promoting sustainability and dispersal. These attributes enabled mangroves to occupy tidal areas around the world and kept from extinction. This study aimed to conduct an identification of mangrove species in Olingan creek and determine the status of the mangroves in terms of their relative abundance. Data collection was done through actual determination of mangrove community structure by using the transect line plot technique. The diversity index was sought using the Shannon’s Diversity Index. The results showed that there are 14 mangrove species in 9 families found to grow in the area.Nypa fruticans , Rhizophora stylosa and Rhizophora apiculata species were the most dense and most frequent mangrove species in Olingan creek. Terminalia catappa turned out to be the species having the lowest density.Avicennia(officinalis) lanata ranks first in dominancy and importance value followed by Rhizophora stylosa then Calophylluminophyllum. Moreover, Bruguiera sexangula had the lowest dominancy while Sonneratia ovata had the lowest importance value of all the mangrove species. Major problems observed include conversion of mangrove areas into residential and beach development. The mangrove composition in the area is relatively high and therefore needs proper protection, conservation and management.
From Integrated Library System (ILS) to Library Service Platform (LSP): Role of Library Discovery System (LDS)
Authors: Hazra Sheuli 
Published: June 2018

This paper shows the evolution of the web-scale resource discovery services in libraries along with different discovery software available both in commercial and open source domain. The paper discusses several discovery tools and identifies several key parameters on the basis of which can compare the usability and accessibility of different discovery software. It will be identifies tools possibilities of applications of these interactive, collaborative and participative tools in enhancing existing library services and the feasibility of introducing next generation library services. Therefore, today all world look-over the newly made association which is library discovery system. Library discovery system make a software like 'VuFind' as open source software, digital library software to distributed across the globe.
Internet of Things based Automation using Artificial Intelligence
Authors: B Chandra Sekar , S Nikhil K , N Raju K , M Sanjay , N Chandrappa D 
Published: June 2018

The Internet of Things(IoT) has become a hot topic in the present tech-driven world. Internet of Things is one of the promising technology used to control objects connected to Internet through IP address, which enables objects to collect and exchange data. Internet of Things is expanding itself into different areas. Home Automation is one of the trend in application of IoT for realizing smart cities. In the paper, we are developing a system which will control through MQTT protocol. MQTT has been utilized as a platform to provide IoT services which will monitor the applications and generate alerts or take intelligent decisions using concept of IoT. Nodemcu was used as aIoT end device connecting relays to the platform via wifi channel. Home scenario is created and designed IoT messages satisfying the scenario requirement. We also implemented Automation through HTML web page. A main contribution of this paper is that it summarizes uses of Intenet of Things in Home Automation with Artificial Intelligence to monitor and control the appliances.
Automatic Solar Panel Cleaning Robot
Authors: Margaret K. S. , Bathirnath T. , Kumar V. Dinesh , Kumar N. Praveen 
Published: June 2018

The dust particles accumulating on the solar panels will decrease the solar energy reaching the solar cells, thereby reducing the overall power output. In this paper, the problem is reviewed and methods for dust removal and reduction of heat are discussed. A robot cleaning device is developed and features a versatile platform which travels the entire length of a panel. An Arduino microcontroller is used to implement robots control system. The robot will provide a favorable result and shows that such a system is viable. In conclusion, it is found that robotic cleaning and heat reduction is practical and can help in maintain the solar panel efficiency.
Accounting use and “lack of use” in a religious institution
Authors: Centorrino Giovanna 
Published: June 2018

This paper proposes a reflection on the degree of alignment between the indications of P. Lodovico Flori’s Trattato del modo di tenere il libro doppio domestico col suo Essemplare (1636) and its actual use in the accounting activities of a Sicilian Jesuit College, between 1683 and 1739. The purpose of this article is to highlight a particular approach to the indications of the treatise which provides highly detailed and very strict guidance on the use of accounting for the purposes of the annual financial statements of the Houses and Colleges. To achieve this objective, this article considers the case of Castrogiovanni College of the Society of Jesus, located in one of the most internal areas of Sicily, as a practical application. The following article presents a case study, revealing a type of soft use of the accounting treatise written by Flori.
A review of Nohora García’s “understanding Mattessich and Ijiri: a study of accounting thought”
Authors: Liang Pierre Jinghong 
Published: June 2018

In her well-researched book, Professor Nohora García offers a refreshing and in-depth look into the glorious past of accounting theorists and their search for answers to above questions posed by the esteemed elders. The book “Understanding Mattessich and Ijiri: A Study of Accounting Thought” represents the 21st entry of the Studies of Development of Accounting Thought Series, edited by Professor Gary Previts of the Case Western Reserve University and is published by Emerald Publishing, Bingley, UK in the year 2018.
Even within the accounting history domain, Professor García’s book takes on an unusual intellectual journey, let alone in the broader accounting scholarly arena. Her work is unusual in at least two dimensions. First, the book’s choice of Mattessich and Ijiri as the two accounting scholars to study poses a formidable challenge because the denseness of these two scholars’ work both in terms of their shared tendencies toward abstraction and their scientific-philosophical orientation. Second, her work singles out one book each from the vast libraries of these two prolific scholars.
Propuesta de un sistema de aprendizaje de lengua de señas basado en las tecnologías de la información y comunicación
Authors: Campoverde Molina Milton Alfredo , Reina Alvarado Jacqueline Mishel , Carangui Delgado Antonio Gabriel 
Published: June 2018

Esta investigación revela el desarrollo del software que con uso de dispositivos de reconocimiento de voz traduce a un lenguaje de señas; estableciendo como objeto de estudio a 10 estudiantes con discapacidad auditiva de la Unidad Educativa Especial Claudio Neira Garzón: Segundo de Básica (1 estudiante), Cuarto de Básica (5 estudiantes) y Quinto de Básica (4 estudiantes), a continuación, se realizó un análisis del porcentaje de discapacidad de cada estudiante de acuerdo al carnet del Consejo Nacional para la Igualdad de Discapacidades (CONADIS), luego se aplicó una encuesta a los estudiantes y se mantuvo una entrevista con la directora y subdirectora de la Unidad Educativa, determinando que sería de gran apoyo utilizar alternativas tecnológicas en el proceso de enseñanza-aprendizaje de la lengua de señas en los niños de 7 y 15 años con déficit auditivo parcial o total dentro de la asignatura de Lengua y Literatura en la lectoescritura, para el desarrollo del software se utilizó la metodología en cascada, luego de haber desarrollado el sistema se hicieron varias pruebas obteniendo muy buenos resultados en cuanto a su uso, incrementando el nivel de compresión y entendimiento del lenguaje español y la lengua de señas en los niños y además hubo una excelente acogida por parte de los docentes y estudiantes que demostraron mucho interés por usar el software en el proceso de enseñanza-aprendizaje.
Impact of Exports on Economic Aggregates of Pakistan
Authors: Naqvi Hasnain , Adžić Slobodan , Zakić Nebojša , Ratković Milijanka , Ahmad Israr 
Published: June 2018

The study employs CGE model, on the data provided in SAM 2001-02 for Pakistan designed by Dorosh et al. (2006), to investigate the impact of Pakistan’s exports on the major aggregates of the economy. To this end, three experiments have been conducted, exportsare increased by 5% in the first simulation (SIM-I), in the second simulation (SIM-II) by 10% and in the third simulation (SIM-III) by 15%. The findings of the study reveal that increase in exports has favourable impact on the performance of macroeconomic variables of the economy i.e. GDP, public and private consumption, savings and investment. Domestic output level of most of the commodities has risen except mine, food manufacturing and other manufacturing. Incomes and expenditures of all the households have risen that results in rise of utility level of all the households. Moreover, all the households have also recorded an increase in the values of compensating variation which implies higher level of welfare for households. However, the value of compensating variation for non-agriculture households has risen more than that of agriculture households indicating pro-urban effect. Equality among the households has improved as the inequality indices have registered declining trend. The study suggests that export promotion measures should be incorporated in poverty alleviation, income equality and economic growth strategies.
Female Students
Authors: Pruett Mark W. , Şeşen Harun , Pandian J.R.M. , Winter Greg 
Published: June 2018

We have conducted the first-ever study of female and male Afghan university students about entrepreneurship and entrepreneurship education. Students at this new university in Afghanistan provided data on their intentions, entrepreneurial disposition, perceptions about the university role, and their beliefs about barriers and motives to entrepreneurship.
On the one hand, we find significant differences between women and men in disposition and intentions, with women having lower levels of disposition and intentions. On the other hand, the two groups display remarkably similar views of the importance of numerous entrepreneurship motives and barriers. They also feel the same about the positive university support of their entrepreneurship interests.
In other words, although young Afghan women and men appear to feel different about themselves and their plans, they hold relatively similar views on the reasons for entrepreneurship, the impediments to entrepreneurship, and the potential of university education and support to foster entrepreneurship in both sexes.
Caracterización bromatológica y evaluación de la actividad antimi- crobiana en cáscara de banano Ecuatoriano (Musa paradisiaca)
Authors: Pilco Gabriela , Borja Dayana , Goetschel Lorena , Andrade Paulette , Irazabal Jorge , Vargas-Jentzsch Paúl , Guil-Guerrero José Luis , Rueda-Ayala Víctor , Ramos Luis Alejandro 
Published: June 2018

Se determinó la composición bromatológica de cáscara de banano (Musa paradisiaca) producida en Ecuador y se identificaron las fracciones y grupos fitoquímicos responsables de su actividad antimicrobiana. El análisis bromatológico determinó un porcentaje de humedad del 88,94% y 11,06% de sólidos totales (1,55% ceniza, 0,47% grasa, 0,74% proteína, 0,87% fibra y 8,3% carbohidratos totales). Para la obtención de las fracciones se aplicaron dos métodos de extracción por maceración. El primero usó cuatro solventes de diferente polaridad como éter de petróleo, cloroformo, acetato de etilo y agua. Los extractos obtenidos fueron sometidos a pruebas de tamizaje fitoquímico identificándose la presencia de compuestos grasos, esteroles, triterpenos, saponinas y taninos. El segundo método usó como solvente etanol al 70% y se generaron cinco fracciones. Ensayos de actividad antimicrobiana por el método de difusión en agar se realizaron en Staphylococcus aureus y Escherichia coli mediante el extracto crudo etanólico y sus fracciones, se evidenció actividad microbiológica. Ensayos de tamizaje fitoquímico y cromatografía en capa fina se realizaron sobre cada fracción y extracto identificándose los principales grupos de compuestos responsables de la actividad antimicrobiana.