bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalencia de anticuerpos contra diarrea viral bovina en vacas no vacunadas en los estados de Puebla, Tabasco y Veracruz, México
Authors: Rosete Fernández Jorge Víctor , Ríos Utrera Ángel , Zárate Martínez Juan Prisciliano , Olazarán Jenkins Sara , Granados Zurita Lorenzo , Fragoso Islas Abraham , Banda Ruiz Víctor Manuel , Socci Escatell Guadalupe Asunción
Published: June 2018

La prevalencia (PRE) de anticuerpos contra diarrea viral bovina (DVB) se determinó en 421 vacas de 24 ranchos ubicados en 11 municipios de los estados de Puebla, Veracruz y Tabasco, México. Adicionalmente, se evaluó la influencia de anticuerpos contra DVB sobre la tasa de gestación (TG). Antes del estudio, los hatos nunca fueron vacunados contra DVB. Se obtuvieron muestras de sangre de cada vaca dos veces, con un intervalo de 3.5 a 4.0 meses. La presencia de anticuerpos se determinó mediante la técnica de ELISA. Al primer muestreo, Puebla (51.4 %) y Tabasco (49.7 %) presentaron menor PRE (P<0.01) que Veracruz (76.2 %); sin embargo, al segundo muestreo, los tres estados presentaron diferentes (P<0.05) PRE: 31.1, 54.6 y 76.0 %, respectivamente. Al primer muestreo, la PRE varió de 25.0 a 85.0 % entre municipios, mientras que al segundo varió de 15.0 a 85.9 %. Al primer muestreo, la PRE varió de 9.1 a 95.0 % entre ranchos, mientras que al segundo varió de 5.0 a 95.0 %. La TG de las vacas sin anticuerpos contra DVB fue similar (P>0.05) a la de las vacas con anticuerpos (57.3 vs 53.5 %). En conclusión, 1) Veracruz presentó mayor PRE que Puebla y Tabasco; 2) el 100 % de los hatos presentaron anticuerpos contra DVB, lo que sugiere que el virus de la DVB está ampliamente distribuido en los tres estados; 3) existió una gran variación en la PRE entre ranchos y entre municipios, siendo ésta cercana a 100 % en varios casos; y 4) la presencia de anticuerpos contra DVB no influyó la tasa de gestación.
Analisis Vitamin C dan Protein pada Biji Buah Labu Siam (Sechium edule)
Authors: Fadliya Fadliya , Supriadi Supriadi , Diah Anang Wahid M.
Published: June 2018

Chayote seeds are found in the middle of the fruit which have flat structures and white. Those seeds has never been used. This study aimed to determine the levels of vitamin C and protein in old chayote fruit seeds. The vitamin C were analyzed using a UV-Vis spectrophotometer, while the protein were analyzed using the Kjeldahl method. Results showed that level of the vitamin C in old fruit seeds was by 0.56%, while the protein level obtained was by 0.81%. This study concluded that old chayote fruit seeds contained protein and vitamin C that can be used as a source of antioxidants and source of beneficial nutrition.
Analisis Sulfur (S) dan Besi (Fe) pada Limbah Cair Panas Pembangkit Listrik Tenaga Uap (PLTU) Di Kelurahan Panau Kecamatan Palu Utara
Authors: Madjid Nurhidayah Abd. , Napitupulu Mery , Said Irwan
Published: June 2018

This research aims to find the levels of sulfur and iron in the liquid waste heat of PLTU discarded into bodies of water at Panau village Subdistrict north of Palu. This research used spectrodirect for the analysis. The result of the research showed that the waste not contents the sulfur or iron, but contents the sulfite. Based on measurements using wavelengths of 405 nm was found that the sample contains 3.12 mg/L sulfite compounds.
Pengaruh Penerapan Model Pembelajaran Kooperatif Tipe Numbered Head Together dipadu Contextual Teaching and Learning Terhadap Hasil Belajar Siswa SMA Imanuel Palu
Authors: Yulinda Lika , Mustapa Kasmudin , Ratman Ratman
Published: June 2018

This study aim was to determine the influence of application of cooperative learning model type numbered head together combination with contextual teaching and learning toward learning outcomes of students in SMA Imanuel Palu. This study used quasi experimental design with non randomized pretest-posttest control group. Sample used were two classes, Xb (n=30) as experimental and Xa (n = 30) as control one. The test of student learning outcomes data used the t-test statistical analysis of the two parties. The results of data analysis obtained, the average score of experimental class () was 50.50 with a standard deviation of 9.79 and for control class () was 41.03 with a standard deviation of 11.01. The result of testing hypothesis with the statistical t-test of two parties obtained that –ttable < tcalculation > +ttable (tcalculation = 2.35 and ttable = 2.00) with a significance level α= 0.05 and 58 degrees of freedom, then H0 was rejected and Ha was accepted. The result of the data analysis showed that there was any in learning outcomes between students in experimental class and the control class, until concluded there is any influences of application of cooperative learning model type numbered head together combination with contextual teaching and learning toward learning outcomes of students in SMA Imanuel Palu.
Mathematical Modeling on Network Fractional Routing Through Derivation Tree
Authors: S ASOKAN , P VANITHA MUTHU
Published: June 2018

Abstract:A Derivation Tree is one of the most important optimization techniques to help decision making in Network. A Derivation Tree problem calls for optimizing linear functions of variables called objective function. The objective function minimizes the total overflow from source node to sink node. We will prove fractional Routing Capacity for some solvable network using Derivation Tree.Keywords - capacity, flow, fractional routing, Derivation Tree.
User Confidentiality Protection in Cloud Computing Using Enhanced Elliptic Curve Cryptography (ECC) Algorithm
Authors: Osman Abdu
Published: June 2018

Abstract— a lot of customers are concerned about their weakness to attack if their critical IT resources are beyond the firewall. The tremendously scalable nature of cloud computing allows users to access vast amounts of data and use computing resources distributed across different interfaces. Cloud entities, such as cloud service providers, users and business partners, share the resources available at different levels of technological operations. This paper focuses on user confidentiality protection in cloud computing using enhanced elliptic curve cryptography (ECC) algorithm over Galois Field GF(2m). The Strength of the proposed ECC algorithm depends on the complexity of computing discrete logarithm in a large prime modulus, and the Galois Field allows mathematical operations to mix up data easily and effectively. The methodology used involves encrypting and decrypting data to ensure user confidentiality protection and security in the cloud. Results show that the performance of ECC over Galois Field, in two area of evaluation, was better than the ECC algorithm which is used for comparison purpose.
Emotive Trending And Tracking of Tweets
Authors: Gupta Sanjay Chhataru
Published: June 2018

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.
Implementation of an Inventory Control System for a Computer Center Using QR Codes on Android Mobile Devices
Authors: Tah Gustavo Poot , Castro Erika Llanes , Martínez José Luis López , Pech Victor Chi
Published: June 2018

This paper presents the design and development of a mobile application that uses QR codes for the inventory control of a computer center. This application was developed to support the administration of the computer center of the Multidisciplinary Unit Tizimin, with the aim to reduce costs and time of searching for articles when making an inventory, by leveraging the capabilities of smartphones and tablets. The implementation of the system was carried out using free software.
A Survey and Assessment Report of Hiv/Aids Awareness of in North-Eastern Nigeria
Authors: Dalah Chiwa Musa , Singh V. V.
Published: June 2018

Prevention is better than Cure. The effect of Human Immunodeficiency Virus/Acquired Immune deficiency syndrome (HIV/AIDS) global epidemic continue to emerge decades after the first wave of infection. One key aspect of controlling the epidemic is by enlightening the general public on the epidemic. That is on how it can be contracted and controlled. Since the start of the epidemic many measures have been taken by government and non-governmental organizations to control the epidemic but still it continued to infect and kill many people. The measures taken includes manufacturing antiretroviral drugs and therapy, using of condoms and enlightment among others.  Nigeria consist of thirty-six (36) states and the federal capital territory (FCT) Abuja, and these are grouped in to six geopolitical zones. North-Eastern Nigeria consist of six states (6) namely Adamawa, Bauchi, Borno, Gombe, Taraba and Yobe states with a total population of about twenty-five million (25m), most of the people live in the rural areas where level of education is low, level of poverty is high and culture and tradition may contribute to the spread of the epidemic. Using secondary data from Federal Ministry of Health, National Bureau of Statistics (NBS), and National Agency for the Control of Aids (NACA), State Agency for the Control of Aids (SACA) and other Non- governmental organizations, the study will find out are the people of North-Eastern Nigeria aware of HIV/AIDS?  Statistical methods and techniques are used in analyzing the data.
A Groundwork Based Novel Routing Protocol for Vehicular Ad hoc Networks
Authors: Singh Amolkirat , Saini Guneet
Published: June 2018

Many people lose their life and/or are injured due to accidents or unexpected events taking place on road networks. Besides traffic jams, these accidents generate a tremendous waste of time and fuel. Undoubtedly, if the vehicles are provided with timely and dynamic information related to road traffic conditions, any unexpected events or accidents, the safety and efficiency of the transportation system with respect to time, distance, fuel consumption and environmentally destructive emissions can be improved. In the field of computer and information science, Vehicular Ad hoc Network (VANET) have recently emerged as an effective tool for improving road safety through propagation of warning messages among the vehicles in the network about potential obstacles on the road ahead. VANET is a research area which is in more demand among the researchers, the automobile industries and scientists to discover about the loopholes and advantages of the vehicular networks so that efficient routing algorithms can be developed which can provide reliable and secure communication among the mobile nodes.In this paper, we propose a Groundwork Based Ad hoc On Demand Distance Vector Routing Protocol (GAODV) focus on how the Road Side Units (RSU’s) utilized in the architecture plays an important role for making the communication reliable. In the interval of finding the suitable path from source to destination the packet loss may occur and the delay also is counted if the required packet does not reach the specified destination on time. So to overcome delay, packet loss and to increase throughput GAODV approach is followed. The performance parameters in the GAODV comes out to be much better than computed in the traditional approach.
A Survey on Secured Approach of External Cloud without Avoiding the Data Integrity
Authors: Saikia Ankur P. , Saikia L. P.
Published: June 2018

Cloud Computing settled state of mind has included a New York minute inmany organizations. Cloud Computing offers numerous advantages in uncertainty of delicate cost and administration of information. Guaranteeing the guarantee of exceed processing assumes a leisure activity part in the leave in the shade registering, as clients regularly five and dime shop imperative data by all of obscuration automated data suppliers in any case these suppliers make out be hazardous. Clients are pondering generally assaults on the arrangement of significant worth and the accessibility of their story in the diminish from terrible insiders and untouchables, and from accepting nobody guarantee worth of diminish administrations. These issues are strongly critical yet there are still around space for stake investigating in leave in the shade processing. Managing by the entire of "single cloud" suppliers is anticipated to wind up noticeably slight well known commonly clients appropriate to dangers of engagement in movement application accessibility blemish and the incident of wretched insiders in the fair hit cloud. An arrangement towards "multi-mists", or in particular words, "inter clouds" or "billow of-Cloud" has expanded as of late. The thought process of this freebee is to skim late research over each other to hit and multi-mists cash in the bank and to give conceivable arrangements. It is rely on that the examination into the demonstration with respect to of multi-cloud suppliers to sponsor security has gotten rare consideration from the exploration swarm than has the oversee of fair hit mists. This exchange tries to protect the consider of multi-mists guerdon to its adaptability to influenced a long story to short security chances that push the distributed computing buyer.
Secret Data Embedding using Texture Synthesis
Authors: Inamdar Suphiya P. , Bhagate Suhas B.
Published: June 2018

A steganography is an art of hiding confidential data into digital media such as image, audio, video etc. The proposed of system using steganography using reversible texture synthesis. Texture synthesis uses the concept of patch which represents an image block of source texture where its size is user specified. A texture synthesis process resamples a smaller texture image, and provides a new image with arbitrary size and shape. Instead of using an existing cover image to hide messages, the algorithm conceals the source texture image and embeds secret messages using the process of texture synthesis. This allows extracting the secret messages and source texture from a stego synthetic texture. The approach offers some advantages. First, the scheme offers the embedding capacity that is proportional to the size of the stego texture image. Second, the reversible capability inherited from this scheme provides functionality, which allows recovery of the source texture. And third, there will be no image distortion since size of new texture image is user specified.
Naturalistic Investigation of Information Reposition and Information Mining Action in Education Field
Authors: Sabeer Shaista , Soni Nivedita , Siddiqua Ayasha
Published: June 2018

Information-driven decision networks, such as information repositions can attend the demand of action of information from multiple areas. Information repositions evaluate the information throughout the arrangement so concerning has a single opinion of information. Information repositions can furnish the information demanded by the administrators. Acquiring an information reposition for educational association is the less focused area since educational associations are non-benefit and service pointed arrangements. In existing scenario where education has been commercial enterprise and appear passage competition is dominating, associations need to be more configured and need to accept good conclusions. Association’s registrations are enhancing as a consequence of enhance in the number of branches and consumption. In today’s scenario, any esteemed Association’s registrations consider in to thousands. In opinion of these components the demands for the organization are assembling the various demands of scholars and confronting enhanced complication in scholarly actions. The complication of these disputes commands persistent advances in functional schemes founded on exact, punctual and homogeneous information. The expenditure of construction an information reposition is costly for any college as it commands information reposition instruments for constructing information reposition and acquiring information employing information reinforcing instruments from information reposition. The existing analyze furnishes a choice to construct information reposition and acquire effective information employing information reposition and information excavation open origin instruments. In this research paper we have explored the demand of information reposition / business concern intelligent for an educational association, the functional information of an educational institution has been employed for research. The analyze may help administrators of educational associations all around the globe for better conclusions.
D-COURT
Authors: M Sonali , P Krithika V. , Ramya S. Thanga
Published: June 2018

A revolutionary mobile application that uses IBM’s Watson Analytics tool to help Judges to quickly deliver the right judgment. The application contains repository of cases of the past. Watson Analytics tool figures out the cases relating to an ongoing case. This also serves to be invaluable to the budding lawyers. Using this application will definitely reduce the cumbersome job of maintaining paper files, enables quick retrieval of desired information which in turn avoids a case being prolonged.
Retinal Fundus Detection Using Skew Symmetric Matrix
Authors: Kaur Kiranjit , Priyadarshni .
Published: June 2018

The retina is the light sensitive tissue, lining the back of our eye. Light rays are focused onto the retina through our cornea, pupil and lens. The retina converts the light rays into impulses that travel through optic nerve to our brain, where they are interpreted as the images. The task of manually segmenting fundus from retina images is generally time-consuming and difficult. In most settings, the task is done by marking the fundus regions slice-by-slice, which limits the human rater’s view and generates distorted images. Manual segmentation is also typically done largely based on a single image with intensity enhancement provided by an injected contrast agent. In the current research the fundus is detected and extracted in retinal image. Fundus is distinguished from normal tissues by their image intensity, threshold-based or region growing techniques. The fundus in this approach is detected with the help of geometric features. Skew symmetric matrix is used to avoid any angular orientation. In this approach the accuracy on fundus is quite promising.  Accuracy of fundus detection is improved according to the area and the acceptance rate .In this approach ,once the image is loaded, it is filtered and normalized. Then superpixels are generated using linear iterative clustering approach and the features are generated. From the available set of features, some of the features are selected using sequential forward selection approach .Classifier is constructed in order to determine different classes in a test image. Proposed work is two class problem in which algorithm is applied that consists of skew symmetric matrix .Experimental results show substantial improvements in the accuracy and the performance of fundus detection as well as in false acceptance rate and false rejection rate.
A Survey on Wireless Sensor Network: Comparative Review
Authors: Kaur Puneet , Kaur Navpreet
Published: June 2018

Due to advanced features of wireless sensor devices, the usage of these devices are rises tremendously all over the world. Many researchers work on wireless devices for new enhancement in ad hoc network. WSN (Wireless Sensor Network) included small, low-cost and resource constrained nodes. In order to provide the unique communication protocols many researches have been done in the existing algorithms by introducing new methods and algorithms. In this study, some approaches to eliminate the Sinkhole Attack are introduced that happened in WSN. Apart from this, various routing protocols that can be used to improve the performance of network during transmission of data are discussed in this paper. The performance prediction of routing protocol is very tough task due to varying network scenarios. The performance of WSN is measured using various parameters like throughput, end to end delay are also discussed in this paper.
A Novel Mechanism of Face Recognition Using Stepwise Linear Discriminant Analysis and Linear Vector Quantization Classifiers
Authors: Quyoom Abdul
Published: June 2018

Face recognition is a hard and special case of computer vision and pattern recognition. It is a challenging problem due to various kinds of variations of face images.  This paper proposes a robust face recognition system. Here stepwise linear discriminant analysis (SWLDA) is used for the feature extraction and Linear Vector Quantization (LVQ) Classifier is used for face recognition. The main focus of SWLDA is to select localized features from the face. In order to increase the low-between-class variance and to reduce within-class-variance among different expression classes and use F-test value through which results are analyzed. In recognition, firstly face is detected using canny edge detection method, after face detection SWLDA is employed to extract the face features, and end linear vector quantization is applied for face recognition. To achieve optimum results and increase the robustness of the proposed system, experiments are performed on various different samples of face image, which consist of face image with the different pose and facial expression in order to validate the system, we use two famous datasets which include Yale and ORL face database.
Future Trends in 5g Wireless Communication: A Survey
Authors: Rathee Amit , Phogat Manu , Mukesh .
Published: June 2018

In modern era the exponential growth in smartphones with better applications need higher efficiency as compare with 4G devices. The data rate and spectrum efficiency is increasing day by day. Although 4G system provided much better services and better latency rate, there is still a gap between people’s requirements and what 4G system is providing. This article gives an overview of key enabling technologies which could be used in future 5G wireless systems. Some of these are Massive MIMO, Device-to-Device (D2D) communications, full duplex technique, millimeter wave communications, Internet of things (IoT) and Cloud RAN. By 2020 more than 9.2 billion devices will be there. And these key technologies will surely change the standards of future generation communication system.
Measuring the Dimensions of Mechanical Component using Image Processing Techniques
Authors: Aswar Dipti Nilesh
Published: June 2018

This paper introduces automated process for measuring the dimensions of mechanical component. The proposed method includes image pre-processing techniques, edge detection technique, hough transform technique for circle detection and stereo vision concept is used for hole depth measurement of mechanical component. In practical, there are many factors which affects the measurement result. Noise may play key role. In order to eliminate noise effect on measurement Gaussian filtering algorithm is used. Then canny edge detection technique is used for edge detection, which helps to improve the accuracy of the result. For hole diameter measurement first we have to find out the circular shape and for circle identification we are using Hough transform technique. We are going to calculate the depth of hole by using the elevation by parallax technique. This proposed method is used for specific type of component. But in future this method can be applied for many type of real time application.
Hybrid Wavelet based Technique for Text Extraction from Images
Authors: Kaur Amrit Veer , Verma Amandeep
Published: June 2018

This paper reviews the current state of the art in handwriting recognition research. The paper deals with issues such as hand-printed character and cursive handwritten word recognition. It describes recent achievements, difficulties, successes and challenges in all aspects of handwriting recognition.
IoT Based Non Invasive Glucometer Using Optical Method
Authors: Sunny Saina , Kumar S. Swapna
Published: June 2018

Analysis and measurement of Diabetes Mellitus (DM) became one of the critical challenges of the coming future. Since by 2030, diabetes effected are increased to 360 million all over the world by the World Health Organization (WHO) analytical study survey results. The main aim of this paper is non invasive and continuous glucose monitoring with the IoT technology involvement. Traditional finger pricking methods pros and cons are notified and tried to rectify its demerits. The designed device consist of an infrared led having a wavelength of 900 to 1100nm for the optical blood glucose measurement. NIR photodiodes used to collect light collected from body parts and regressive analysis is carried out. The signal processing, data algorithm is based on Beer-Lambert’s law. In assistance with internet of things (IoT) in WiFi range push alerts are reached to the patients and their concerns on real time. Therefore, it helps in emergency, continuous real time blood glucose monitoring. An IOT based noninvasive glucose monitoring will be a milestone for emerging and smart generation.
A Discussion of Finite State Machine in String Search Based on Function & Class FSM Implimentations
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.
An Improvement on Deep Time Growing Neural Network on Biological Signals: Review
Authors: Kaur Manpreet , Kaur Jashanpreet
Published: June 2018

A novel method for learning the cyclic contents of stochastic time series: the deep time-growing neural network (DTGNN). The DTGNN combines supervised and unsupervised methods in different levels of learning for an enhanced performance. It was employed by a multiscale learning structure to classify cyclic time series (CTS), in which the dynamic contents of the time series are preserved in an efficient manner. This paper suggests a systematic procedure for finding the design parameter of the classification method for a one versus-multiple class application. In this paper different authors research papers are reviewed and different problems are stored and now these problems are resolved.
Handling Unstructured Databases on Cloud Using Hadoop
Authors: Shastri Harshal , Prajapati Ashwin
Published: June 2018

Unstructured database is defined as that in which we cannot store data in form of table i.e. rows and columns. So to handle that types of data we are going to store NoSQL i.e. KV (key value) store database. Everyone can handle big or huge data using Hadoop technology by creating a Hadoop cluster on cloud and also can perform CRUD operations on data. On cloud, we can store any type of data whether it is relational or non-relational data. This provides access of data to all users as it is open source and is implemented in java.
A Survey on Artificial Intelligence Techniques to Prevent Cyber Crime
Authors: Afreen Juveriya
Published: June 2018

Abstract-- With increase in complexity of data, security, it is difficult for the individuals to prevent the offence. Thus, by using any automation or software it’s not possible by only using huge fixed algorithms to overcome this. Thus, we need to look for something which is robust and feasible enough. Hence AI plays an epitome role to defense such violations. In this paper we basically look how human reasoning along with AI can be applied to uplift cyber security.
Advances in IR Query Expansion
Authors: SINGH ROSHNI , RAGHA LEENA R.
Published: June 2018

As the internet is becoming rich with huge information, retrieving the wanted information is a huge challenge. Due to huge variation in framing a query by the individuals, matching of the terms with the document to be searched are facing many challenges. Researchers have worked on problem of identifying the correct essence of the user query by adding additional useful terms. They are currently working on this kind of Query Expansion (QE). There are many proposals like Manually, Iterative and Automatic QE. In this work we compare these different techniques and analyze for their strength and weaknesses.
A Study on the Export of Saudi Arabian Dates in the Global Markets
Authors: Periyasamy A R. Pon , Padmanayaki S.
Published: June 2018

The Kingdom of Saudi Arabia is among the leading producers of quality dates where the per capita consumption of dates is highest in the world. We studied the global markets in terms of date importing and date exporting countries. Among the five groups of importing countries, the first group comprised of European Union, North America, Australia and New Zealand, group two comprised of Eastern Europe, Turkey and Russia, group three of the Gulf countries in the Middle-East including the States of Bahrain, Qatar, UAE and Kuwait, group four of the Arab States of Jordan, Syria, Morocco, Lebanon and Yemen while the fifth group from South Asia comprised of India, Bangladesh and Sri Lanka. The date exporting countries were categorized into three groups namely, the first group being USA, Mexico, South Africa and Israel, the second comprising of Egypt, Iran, Pakistan, Saudi Arabia, UAE, Iraq and Oman while the third group of exporting countries being Tunisia and Algeria. We calculated the average price of dates for each of the groups of importing and exporting countries and studied the status of Saudi Arabian dates in the global markets and their suitability for exports. Five potential strengths of Saudi Arabian dates were identified that may be used either individually or collectively to strengthen the exports of dates from the Kingdom in each of the five date importing groups of countries where we also determined the potential market opportunities.
Cloud Computing : Security Issues And Resource Allocation Policies
Authors: Sharma Gaurav , A.P Urvashi Garg, , A.P Arun Jain, , A.P Loveleena Mukhija,
Published: June 2018

Cloud computing is the combination of distributed computing, grid computing and parallel technologies which define the shape of a new era. In this technology client data is stored and maintain in the data center of a cloud provider like Google, Amazon and Microsoft etc. It has inherited the legacy technology and including unique ideas. Industries, such as education, banking and healthcare are moving towards the cloud due to the efficiency of services such as transactions carried out, processing power used, bandwidth consumed, data transferred etc. There are various challenges  for adopting cloud computing such as privacy ,interoperability, managed service level agreement (SLA) and reliability. In this paper we survey challenges in resources allocation and the security issues of the cloud environment.
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.
Study of Ad hoc Networks with Reference to MANET, VANET, FANET
Authors: .S Bodhy Krishna
Published: June 2018

A wireless ad hoc network is a decentralized type of wireless network. It is a type of temporary computer-to-computer connection. It is a spontaneous network which includes mobile ad-hoc networks (MANET), vehicular ad-hoc networks (VANET) and Flying ad-hoc networks (FANET). A MANET is a network that has many free or autonomous nodes often composed of mobile devices that can operate without strict top-down network administration [1]. A VANET is a sub form of MANET. It is a technology that uses vehicles as nodes in a network to create a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. This paper discusses the characteristics of these three ad-hoc networks.
An Approach to Secure Data Aggregation in Wireless Sensor Networks (WSN) using Asymmetric Homomorphic Encryption (Elliptic Curve Cryptography) Scheme
Authors: Huque Md Sirajul , Saheb Sk. Bhadar , Boga Jayaram
Published: June 2018

Wireless sensor networks (WSN) are a collection of autonomous collection of motes. Sensor motes are usually Low computational and low powered. In WSN Sensor motes are used to collect environmental data collection and pass that data to the base station. Data aggregation is a common technique widely used in wireless sensor networks. [2] Data aggregation is the process of collecting the data from multiple sensor nodes by avoiding the redundant data transmission and that collected data has been sent to the base station (BS) in single route. Secured data aggregation deals with Securing aggregated data collected from various sources. Many secured data aggregation algorithms has been proposed by many researchers. Symmetric key based cryptography schemes are not suitable when wireless sensor network grows. Here we are proposing an approach to secured data aggregation in wireless sensor networks using Asymmetric key based Elliptic Curve cryptography technique. Elliptic curve cryptography (ECC) [1] is an approach to public-key cryptography based on the algebraic structure of elliptic curves over finite fields. Elliptic Curve Cryptography requires smaller keys compared to non-Elliptic curve cryptography (based on plain Galois fields) to provide equivalent security. The proposed technique of secure data aggregation is used to improve the sensor network lifetime and to reduce the energy consumption during aggregation process.
VANET Routing and Trust Model Evaluation Using Artificial Bee Colony Algorithm
Authors: Rakhi . , Pahuja G. L
Published: June 2018

Vehicular ad-hoc network contains of very intelligent vehicles on the pathways and give communication service to the dives in the network or can connect with the roadside devices. In the near future it will provide many service and fast delivery of information with minimal delay. It is the modern technology which is mixing the wireless networking to vehicles. The main goal of the VANET system is to provide uninterrupted connectivity to the vehicular users on road, smart vehicle to vehicle interaction without any interruptions is known as intelligent transportation system (ITS). In this paper, we present a review on the VANET, its trust issues, how routing is done in VANET. Different routing and the type of trust models with which routing takes place are discussed. Comparison of parameter such as throughput, bit-error rate and delay are done on the basis of, with optimization and without optimization according to number of rounds.
Robust Part-Based Hand Gesture Recognition Using Finger-Earth Mover’s Distance
Authors: Kolhe Ashwini , Itkarkar R. R. , Nandani Anilkumar V.
Published: June 2018

Hand gesture recognition is of great importance for human-computer interaction (HCI), because of its extensive applications in virtual reality, sign language recognition, and computer games. Despite lots of previous work, traditional vision-based hand gesture recognition methods are still far from satisfactory for real-life applications. Because of the nature of optical sensing, the quality of the captured images is sensitive to lighting conditions and cluttered backgrounds, thus optical sensor based methods are usually unable to detect and track the hands robustly, which largely affects the performance of hand gesture recognition. Compared to the entire human body, the hand is a smaller object with more complex articulations and more easily affected by segmentation errors. It is thus a very challenging problem to recognize hand gestures. This work focuses on building a robust part-based hand gesture recognition system. To handle the noisy hand shapes obtained from digital camera, we propose a novel distance metric, Finger-Earth Mover’s Distance (FEMD), to measure the dissimilarity between hand shapes. As it only matches the finger parts while not the whole hand, it can better distinguish the hand gestures of slight differences. The experiments demonstrate that proposed hand gesture recognition system’s mean accuracy is 80.4% which is measured on 6 gesture database.
Wound Investigation in Insulin Insufficient Patients Using Image Processing Technique
Authors: Malar R. Kavitha Jaba , Simson E. Issac
Published: June 2018

An injury is a scratch to our body. It is a common phrase that denotes to hurt occurred by a few accidents. Gash is damages which divide the pelt or stiff tissues. It is most treacherous and common complications of diabetes. The compromised protected approach habitually merges diabetes. Increased glucose levels measured down the resistant cells that unleash to brawl off infections. When bacteria stir in to settle on the foot, the ramparts out vain. Ulcers may normally upturn. If infection reaches the bone, elimination is needed. The body has possibility of fighting the infection. Doctors use a lot of tools to take care of infected wounds. In critical slash, handling is very thorny to find the status. In present days, diabetic patient and their care takers have the responsibility to take more care in daily gash care. For the analysis of wound in the insulin insufficient patients, the research concentrates the mean shift algorithm.
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.
Parallel Authenticated Encryption for Misuse Resistance using EME with Linear Mixing
Authors: Pathak Smriti
Published: June 2018

SPRP based construction has been introduced in Encrypt-Mix-Encrypt. Wherever a masked plaintext is encrypted in ECB mode of, then a non-linear mixing is performed so once again associate encryption is performed in ECB mode that is covert to provide the cipher text. exploitation the property of the binary field we are additionally show that the construction with linear mixing does not offer SPRP security though we have a tendency to perform all the operations during a prime field rather than binary field. Thus, we have a tendency to absolutely characterize EME with linear compounding. The echt encryptions that resist misuse of initial worth (or nonce) at some desired level of privacy ar two-pass or Mac- then-Encrypt constructions (inherently inefficient however offer full privacy) and on-line constructions, e.g. McOE, sponge-type echt encryptions (such as duplex, AEGIS) and COPA. Solely the last one is sort of parallelizable with some bottleneck in process associated information.
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.
Distributed Topology Control Techniques for Wireless Sensor Networks: An Overview
Authors: Kelagadi Hemantaraj M. , Kumar Priyatam
Published: June 2018

The recent technological innovations and development like the Internet of Things (IoT), Smart Grids and Smart Environment applications tend to enhance the scalability, self-organizing capability of the mesh networks as well as the wireless sensor networks. As the wireless sensor network have limited energy resources, there is a need of utilizing these limitations in an efficient way in order to accomplish such advanced energy efficiency and better lifetime can be taken care by the operation of topology control methods. In this survey the issue of energy efficiency is formed upon and a comprehensive study of topology control technologies that can be used for enhancement of battery lifetime in WSNs is presented. An insight of how energy efficiency can be achieved by design is provided by review of the significant topology control algorithms based on the energy conservation approach adopted, those algorithms are classified further and evaluated on the basis of communication so as to aid the designer to select best suitable techniques for their applications. A number of open research issues for achieving the energy efficiency by means of controlling topology are identified based on the survey conducted.
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.