bluuebunny/crossref_metadata_2025 huggingface dataset:
Potential Anti-inflammatory Effects of Hesperidin from the Genus Citrus
Authors: Tejada Silvia , Pinya Samuel , Martorell Miquel , Capó Xavier , Tur Josep A. , Pons Antoni , Sureda Antoni
Published: July 2017

Background:

The benefits of the Mediterranean diet for protecting against many diseases
are usually attributed to high consumption of certain foods, characterized by the presence of bioactive
substances such as polyphenols. Inflammation plays an important role in the pathogenesis of
numerous diseases such as arthritis, allergies or neurodegenerative disorders. Dietary polyphenols
constitute a large family of bioactive substances with potential beneficial effects against a broad
group of diseases. Citrus fruits and juices are a rich source of vitamin C and flavonoids, with a potential
effect on the inflammatory response.

Objective:

The aim was to evidence the potential anti-inflammatory effects of the flavonoids hesperidin
for its possible therapeutic application against diverse pathologies.

Method:

In the present review, available literature about the anti-inflammatory effects of hesperidin
is reported and discussed. Moreover, we also discuss the chemistry, bioavailability and proposed
mechanisms of action of hesperidin.

Results:

Hesperidin is a flavonoid present in high concentration in citrus species and has numerous
biological properties, principally antioxidant and anti-inflammatory. Several studies have been performed
in order to evaluate the effects of hesperidin as anti-inflammatory agent using cellular and
animal models and few clinical trials. Hesperidin treatment decreased inflammatory mediators and
exerted significant antioxidant effects. The molecular basis for its anti-inflammatory effects seems to
be mediated by signalling pathways especially the nuclear factor κβ pathway.

Conclusion:

Although hesperidin evidenced anti-inflammatory effects, the specific mechanism of
action is not completely known and additional studies are required for elucidation of the molecular
targets.
Transient Production of Recombinant Pharmaceutical Proteins in Plants: Evolution and Perspectives
Authors: Kopertekh Lilya , Schiemann Joachim
Published: July 2017

During the last two decades, the production of pharmaceutical proteins in plants
evolved from proof of concept to established technology adopted by several biotechnological
companies. This progress is particularly based on intensive research starting stable genetic
transformation and moving to transient expression. Due to its advantages in yield and
speed of protein production transient expression platforms became the leading plant-based
manufacturing technology. Current transient expression methods rely on Agrobacteriummediated
delivery of expression vectors into plant cells. In recent years, great advances have
been made in the improvement of expression vectors, host cell engineering as well as in the
development of commercial manufacturing processes. Several GMP-certified large-scale
production facilities exist around the world to utilize agroinfiltration method. A number of
pharmaceutical proteins produced by transient expression are currently in clinical development.
The great potential of transient expression platform in respect to rapid response to
emerging pandemics was demonstrated by the production of experimental ZMapp antibodies
against Ebola virus as well as influenza vaccines. This review is focused on current design,
status and future perspectives of plant transient expression system for the production
of biopharmaceutical proteins.
Redox State in Atrial Fibrillation Pathogenesis and Relevant Therapeutic Approaches
Authors: Antonopoulos Alexios S. , Goliopoulou Athina , Oikonomou Evangelos , Tsalamandris Sotiris , Papamikroulis Georgios-Angelos , Lazaros George , Tsiamis Eleftherios , Latsios George , Brili Stella , Papaioannou Spyridon , Gennimata Vasiliki , Tousoulis Dimitris
Published: July 2017

Background:

Myocardial redox state is a critical determinant of atrial biology, regulating cardiomyocyte
apoptosis, ion channel function, and cardiac hypertrophy/fibrosis and function. Nevertheless, it
remains unclear whether the targeting of atrial redox state is a rational therapeutic strategy for atrial fibrillation
prevention.

Objective:

To review the role of atrial redox state and anti-oxidant therapies in atrial fibrillation.

Method:

Published literature in Medline was searched for experimental and clinical evidence linking myocardial
redox state with atrial fibrillation pathogenesis as well as studies looking into the role of redoxtargeting
therapies in the prevention of atrial fibrillation.

Results:

Data from animal models have shown that altered myocardial nitroso-redox balance and NADPH
oxidases activity are causally involved in the pathogenesis of atrial fibrillation. Similarly experimental animal
data supports that increased reactive oxygen / nitrogen species formation in the atrial tissue is associated
with altered electrophysiological properties of atrial myocytes and electrical remodeling, favoring
atrial fibrillation development. In humans, randomized clinical studies using redox-related therapeutic approaches
(e.g. statins or antioxidant agents) have not documented any benefits in the prevention of atrial
fibrillation development (mainly post-operative atrial fibrillation risk).

Conclusion:

Despite strong experimental and translational data supporting the role of atrial redox state in
atrial fibrillation pathogenesis, such mechanistic evidence has not been translated to clinical benefits in
atrial fibrillation risk in randomized clinical studies using redox-related therapies.
The Lebanese Perception of the Impact of Small & Medium Enterprises (SMEs) on the National Economy
Authors: Hamdar Bassam Charif , Najjar Rana , Karameh Kamel
Published: July 2017

Over the years, Small and Medium-Sized Enterprises (SMEs) have been very significant to the economic development of most developing and developed countries. It is a major form of business and a major employer with a strong positive impact on the economic growth and labor market in Lebanon.

This paper researches the impact of SMEs on the Lebanese labor market and Lebanese economy. Furthermore, the importance of SMEs, and the challenges facing the sector and makes recommendations as to how to resolve these challenges.

The data was collected through a questionnaire, and several literature, publications and reports.

Based on past researches and studies there is a relation between SMEs and job creation in addition to the vital role they play in a nation’s economy.

This is a basic study to show the impact and importance of SMEs. Recommendations are made for governments to encourage the entrepreneurial spirit and in collaboration with banks to facilitate access to credit to ensure the growth, development and continuation of SMEs. Furthermore, owners and employees of SMEs should be provided with a skill acquisition program to boost their skills, and to ensure the development of both employees and the business.
A CASE Study on Software Project Development Cost, Schedule & Effort Estimation
Authors: Rao Prabhakar , Ramaiah Seetha
Published: July 2017

This paper theme is to provide a case study of Software Project Development cost, effort, and schedule estimation. From recent past, a remarkable research takes place in developing different techniques on software effort and cost estimation. Making estimation before start of any project is necessary to be able to plan and manage any project. The estimate is an intelligent guess for the project resources. Nowadays, software has become a major contributor to economic growth for any nation. Making an estimate before starting any software project is vital for the project managers and key stakeholders. Major project milestones such as project schedules, budgeting, resource allocation, and project delivery dates are set on theeffort and cost estimates. Thus, the reliability of the estimation leads any project success or otherwise fail. In this article, author’s idea is to work with function point analysis and include the concept of workforce scheduling in a better way while taking the decision in the contract phase. That leads to strengthening the relations between the developer and the customer. Basically, size is a main measured unit of the software project. Based on the size and other functionalities, the software managers estimate the total effort required to develop the project. From the effort and work schedule, the total cost can be estimated.
AN EFFICIENT APPROACH TO IMPLEMENT FEDERATED CLOUDS
Authors: Sowmya Pappu , Kumar R
Published: July 2017

Cloud computing is one of the trending technologies that provide boundless virtualized resources to the internet users as an important services through the internet, while providing the privacy and security. By using these cloud services, internet users get many parallel computing resources at low cost. It predicted that till 2016, revenues from the online business management spent $4 billion for data storage. Cloud is an open source platform structure, so it is having more chances to malicious attacks. Privacy, confidentiality, and security of stored data are primary security challenges in cloud computing. In cloud computing, ‘virtualization’ is one of the techniques dividing memory into different blocks. In most of the existing systems there is only single authority in the system to provide the encrypted keys. To fill the few security issues, this paper proposed a novel authenticated trust security model for secure virtualization system to encrypt the files. The proposed security model achieves the following functions: 1) allotting the VSM(VM Security Monitor) model for each virtual machine; 2) providing secret keys to encrypt and decrypt information by symmetric encryption.The contribution is a proposed architecture that provides a workable security that a cloud service provider can offer to its consumers. Detailed analysis and architecture design presented to elaborate security model.
AN AUTHENTICATED, SECURE VIRTUALIZATION MANAGEMENT SYSTEM IN CLOUD COMPUTING
Authors: Kumar K Dinesh , Umamaheswari E
Published: July 2017

Cloud computing is one of the trending technologies that provide boundless virtualized resources to the internet users as an important services through the internet while providing the privacy and security. Using these cloud services, internet users get many parallel computing resources at low cost. It predicted that till 2016, revenues from the online business management spent $4 billion for data storage. Cloud is an open-source platform structure, so it is having more chances to malicious attacks. Privacy, confidentiality, and security of stored data are primary security challenges in cloud computing. In cloud computing, “virtualization” is one of the techniques dividing memory into different blocks. In most of the existing systems, there is only single authority in the system to provide the encrypted keys. To fill the few security issues, this paper proposed a novel authenticated trust security model for secure virtualization system to encrypt the files. The proposed security model achieves the following functions: (1) allotting the VM security monitor model for each virtual machine and (2) providing secret keys to encrypt and decrypt information by symmetric encryption.The contribution is a proposed architecture that provides a workable security that a cloud service provider can offer to its consumers. Detailed analysis and architecture design presented to elaborate security model.
A STUDY ON CLOUD BASED BIO-SIGNALS MANAGEMENT FRAMEWORK
Authors: Panigrahi Siddharth Arun , V Umamaheswari
Published: July 2017

An analytical study of the complete framework for the management of biosignals is done. The framework provides for the acquisition, and storage of the biosignals, along with the associated metadata. It also provides solutions for validation, synchronization of acquired signals, thus allowing error-free signal inputs for further statistical analysis. The model comprises primarily of four layers, namely, acquisition, validation, post-processing and statistical analysis layers. Additionally, a presentation layer is also provided, wherein the appropriate end-user can use a suitable client or Web service to access the results of the statistical analysis. The raw data is deliberately spilt into two: Internal data (actual signal data) and External data (metadata) and they interact only when necessary (e.g. Identifying the biosignal’s origin). Microservices are used to compartmentalize the functionalities required in the system. Additional solutions to problems plaguing the present models (like cloud-upload bottleneck) are also discussed.
ARDUINO BASED WIRELESS MOBOT
Authors: A Vishwanathraddi , Chakravarthi M Kalyan
Published: July 2017

Increased connectivity and remote monitoring and control mechanisms have revolutionized the field of measurement and automation. The proposed work is to design a system which will integrate a mobile bot with Arduino, and it is also possible with LabVIEW through a gateway to run wirelessly. An autonomous robot vehicle is to travel from source to destination through the wheels which are controlled by processor. This will be helpful launch in the application where human being travel will be difficult to meet the work. The proposed system will be able to follow a path with obstacle avoiding.Further, the vehicle can be integrated with NI instruments and with LabVIEW to make it autonomous. LabVIEW is a graphical programming language gives a platform for the engineers, which is effective and scalable to focus on robotics neglecting the minute implementation details.
FIELD-PROGRAMMABLE GATE ARRAY IMPLEMENTATION OF EMPIRICAL MODE DECOMPOSITION ALGORITHM FOR ELECTROCARDIOGRAM PROCESSING
Authors: Fernandes Dylan Royce , M Suchetha
Published: July 2017

The electrocardiogram (ECG) signal contains important information that is utilized by physicians for the diagnosis and analysis of heart diseases. Therefore, good quality ECG signal is required. Hilbert-Huang transform (HHT) is a method to analyze non-stationary and non-linear signals. Empirical mode decomposition (EMD) is the core of HHT. EMD breaks down signals into smaller number of components. These components form a complete and nearly orthogonal basis for the original signal. This algorithm is implemented on field-programmable gate array using the process of extrema generation, envelope generation, and stopping criterion.
PERSONALIZED VIRTUAL SCHOOL ENVIRONMENT USING CLASSIFIER ALGORITHM AND SEMANTIC ADVISOR-ASSISTING FRAMEWORK
Authors: Maniyar Jaimin , Livingston Jenila
Published: July 2017

As we knew that every individual is different than each other and their brain levels are also different, some students are very bright and some arenot, so there is a need to develop such system which will teach them as per their thought process and learning habits. This research aims to developa personalized virtual school environment for students which help them to learn the things same as they learn in school physically, but the thinghere is each student will be treated differently as per his/her ability. Hence, this system would be a virtual school for any student, which resemblesthe CBSE school system in India. In this virtual school, all things are present such as teachers, homework, games, and exams which present in actualschool except one which is the physical classroom because in virtual environment the course and things are personalized for each student as perhis/her thoughts and brain level, so here the student can seat in his/her home and can learn at any time with help of computer. The system is a webbasedenvironment and machine learning would be used for doing personalization on family and knowledge context of student. This web system contains four components: (1) Classification based on family context, (2) classification based on knowledge context, (3) learning material selection algorithm, (4) web-based learning system on top of above three, are discussed in this paper.
A SURVEY ON PRIVACY PRESERVING TECHNIQUES FOR SOCIAL NETWORK DATA
Authors: J Sharath Kumar , N Maheswari
Published: July 2017

In this era of 20th century, online social network like Facebook, twitter, etc. plays a very important role in everyone’s life. Social network data, regarding any individual organization can be published online at any time, in which there is a risk of information leakage of anyone’s personal data. So preserving the privacy of individual organizations and companies are needed before data is published online. Therefore the research was carried out in this area for many years and it is still going on. There have been various existing techniques that provide the solutions for preserving privacy to tabular data called as relational data and also social network data represented in graphs. Different techniques exists for tabular data but you can’t apply directly to the structured complex graph  data,which consists of vertices represented as individuals and edges representing some kind of connection or relationship between the nodes. Various techniques like K-anonymity, L-diversity, and T-closeness exist to provide privacy to nodes and techniques like edge perturbation, edge randomization are there to provide privacy to edges in social graphs. Development of new techniques by  Integration to exiting techniques like K-anonymity ,edge perturbation, edge randomization, L-Diversity are still going on to provide more privacy to relational data and social network data are ongoingin the best possible manner.
A GAUSSIAN MIXTURE MODEL-BASED SPEAKER RECOGNITION SYSTEM
Authors: Gorai Kumari Piu , Abraham Thomas
Published: July 2017

A human being has lot of unique features and one of them is voice. Speaker recognition is the use of a system to distinguish and identify a person from his/her vocal sound. A speaker recognition system (SRS) can be used as one of the authentication technique, in addition to the conventional authentication methods. This paper represents the overview of voice signal characteristics and speaker recognition techniques. It also discusses the advantages and problem of current SRS. The only biometric system that allows users to authenticate remotely is voice-based SRS, we are in the need of a robust SRS.
IMPLEMENTATION OF REUSE IN THE AGILE SOFTWARE DEVELOPMENT PROCESS SCRUM
Authors: R Jayasudha , V Viswanathan , P Shanthi
Published: July 2017

The concept of reuse is applied in one of the agile development methodologies called the scrum. Sprint is a single functionality and the result at the end of the sprint functionality is derived as the shippable or bugs. This paper makes an attempt to use the concept of reuse in the agile software development to meet the dynamic change of customer requirements in banks. A banking project is created using both waterfall model and scrum model, and the knowledge gained is stored in the ontology-based repository for the first time. Again, the same project is created for different vendors using the ontology-based repository. The result shows that maximum sprint is reused and all the knowledge gained is stored in the form of ontology. This ontology helps identify the shippable component of each sprint which is a small executable functionality. This leads to less cost and time to deliver the product. The main aim is to increase the availability of the reusable artifacts, which lead to increase the reusability of the developer. The experimental results show improvements in the performance of retrieving the components for the software development.
A SURVEY ON CHURN ANALYSIS AND PREDICTION IN VIDEO ON DEMAND
Authors: R Venkatraman , Ragala Ramesh
Published: July 2017

Consumer loyalty is a key measure of achievement. Despondent clients will not be staying around the service. When there are unhappy clients once in a while voice their disappointment before leaving. Streaming administration, motion pictures, and television shows are gushing over the internet, not being downloaded, so we should be associated with the internet all through your watch instantly experience. Hence, to help them recognize to “disappointed clients” from the get-go in their relationship. Doing as such would permit streaming administration to find a way to enhance “client’s joy” before it’s excessively late. To distinguish the purposes behind clients who are producing from the spilling administration furthermore anticipating what number of clients will get stick around the gushing administration.
A REVIEW ON SECURITY ENHANCEMENT THROUGH ANONYMOUS ROUTING IN MANET
Authors: Drishya Sr , Vijayakumar Vaidehi
Published: July 2017

Mobile Ad Hoc Network(MANET) is an infrastructure less network. Any node may enter or leave network at anytime. MANET also has less resources and limited security. MANET is vulnerable to attacks because of its lack of centralized infrastructure. Security in MANET can be achieved by Anonymous routing which hide source, destinationand route information to provide. This paper provides a review on efficient anonymous routing protocols used in MANET and also compares the security in terms of identity, location and route anonymity. An anonymous routing protocol that conceals the essential details and satisfies the basic protocol properties has to be proposed.
ANALYSING THE PERFORMANCE OF EDFA AND APD RECEIVER IN DYNAMIC WDN NETWORK
Authors: Joel Nikita M , A Brintha Therese
Published: July 2017

This paper demonstrates the performance of Erbium doped fiber  amplifier(EDFA) and APD receiver in a dynamic wavelength division multiplexing(WDM) system. A four channel 10Gb/s system is taken into consideration and the performance of Erbium doped fiber Amplifier is assessed. The experimental setup consists of a transmitter, a receiver and two  intermediate nodes. The transmitted system is tested for Bit Error Rate (BER) and Eye pattern at the receiver. The spectrum is also analysed for different length of fiber. Add Drop Experiment was carried on in which a laser source was switched on and off continuously to assess the transient response  of WDM system. Then the Eye Pattern is analysed in which Erbium doped fiber Amplifier system will provide a clear open eye with no degradation of signal.
WORKING OF ACONTEXT-AWARE CONVERSATIONAL ENTITY
Authors: Shrivastava Pragya , Kumar G Bharadwaja
Published: July 2017

Abstract —  Introduction of new technologies in to the world is increasing rapidly and in order to assist the users to get equipped with such technologies industries are providing customer care services. Contacting a customer care service is subjective to several overheads of selecting options from a listed set, waiting for the switching between selections and awaiting the support of a customer care executive as the process usually requires a human intervention. Hence, a substitute for a personnel is required by the IT industries in order to automate the communication process in assisting the customers. Chatbots with context aware question-answering capabilities can be viewed as a good solution to such customer-care assistance. Development of a chatbot and the complexities involved in getting it to work effectively is delineated in this paper.
MINIATURIZED MULTIBAND MIMO ANTENNAS FOR WIRELESS APPLICATION
Authors: Das Pratibha , Kommuri Usha Kiran
Published: July 2017

The objective of this paper is to design a miniaturized and multiband multiple input multiple output (MIMO) antenna using slotting technique whichcan be used for many devices such as cell phones and microwave radio relay. The MIMO antenna module consists of four microstrip antennas whichare arranged in two MIMO antenna pairs. Reduction in size, multi-broadband, moderation in gain, and good efficiency are obtained. The main aimis to reduce mutual coupling while optimizing the antenna size. The present work would be aimed at designing an antenna which is used mainly forwireless applications [1].
COMPUTATIONAL MODELLING AND PREDICTING SPREAD OF ARBOREAL EPIDEMIC
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

This study presents a modelling solution for the arboreal epidemic like Huanglongbing. Usually, the spread of such plant disease is modelled based upon the four parameters such as: susceptibility, exposure, infectiousness, detection and removed but such a model is deprived from the time as a dimension to model such variations. Owing to this the time for which infection, exposure, detection and removal time is censored form modelling studies of disease spread through heterogeneous plant species. The research presented in this work characterize such heterogeneous transmission with integration of temporal spatial modelling of latent period of season and effects on the host, infection period and dispersal parameters corresponding to the host age. The outcome form this research will enable to control arboreal epidemic.
REGION SPECIFIC WAVELET COMPRESSION FOR 4K SURVEILLANCE IMAGES
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

For successful transmission of massively sequenced images during 4K surveillance operations large amount of data transfer cost high bandwidth, latency and delay of information transfer. Thus, there lies a need for real-time compression of this image sequences. In this study we present a region specific approach for wavelet based image compression to enable management of huge chunks of information flow by transforming Harr wavelets in hierarchical order.
ONLINE LEARNING FOR IMAGE PROCESSING IN NETWORKED SETTING
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

In the past decade development of machine learning algorithm for network settings has witnessed little advancements owing to slow development of technologies for improving bandwidth and latency.  In this study we present a novel online learning algorithm for network based computational operations in image processing setting
VIRTUAL FARMER: CONTROLLING PHYTOCHROME SIGNALING IN PLANTS THROUGH CYBER-PHYSICAL SYSTEM
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

Under external environment stimuli seedlings undergo variation of morphology and alterations in its genetic sequences. Phytochrome signaling i.e., feedback reaction of plants to photons and other nutrient cycle plays a crucial role in its maturation. In this research work we create a cyber physical system to control such morphogenesis of plants through the help of artificial intelligence framework which identifies and control the crucial feedback between plant’s genetic transcription with respect to the external stimuli such as nutrients, electricity, magnetism. This leads to autonomously grow a plant without its disadvantageous traits by destabilizing its negatively acting transcriptional regulators and enhance the plant’s advantageous features by controlling its positively acting transcriptional regulators. This has leaded us to control the plant metabolism, plant growth without soil, manipulate the immunity of plant against disease, develop a plant metabolic profile and maximizes its yield deprived off from its seasonal attribute.
PREDICTIVE ANALYTICS OF HEALTHCARE DATA
Authors: Hemalatha Sweetlin , Waghmare Apurva
Published: July 2017

Predictive analytics is employed to improve the ability to take precautionary measures during medical emergencies. In health care, the sensor-baseddata are generated daily which can be used to predict future data using regression model. In this paper, pain dataset from integrating data for analysis,anonimyzation, and sharing repository is used for experimenting different machine algorithms. The results show that logistic regression gives moreaccuracy than other algorithms.
FIELD-PROGRAMMABLE GATE ARRAY IMPLEMENTATION OF THE DYNAMIC TIME WARPING ALGORITHM FOR SPEECH RECOGNITION
Authors: Alex John Sahaya Rani , Bhojwani Mitali
Published: July 2017

Objective of this research is to implement a speech recognition algorithm in smaller form factor device. Speech recognition is an extensively used inmobile and in numerous consumer electronics devices. Dynamic time warping (DTW) method which is based on dynamic programming is chosen tobe implemented for speech recognition because of the latest trend in evolving computing power. Implementation of DTW in field-programmable gatearray is chosen for its featured flexibility, parallelization and shorter time to market. The above algorithm is implemented using Verilog on Xilinx ISE.The warping cost is less if the similarity is found and is more for dissimilar sequences which is verified in the simulation output. The results indicatethat real time implementation of DTW based speech recognition could be done in future.
A SURVEY ON THE CURES FOR THE CURSE OF DIMENSIONALITY IN BIG DATA
Authors: Remesh Reshma , V Pattabiraman.
Published: July 2017

Dimensionality reduction techniques are used to reduce the complexity for analysis of high dimensional data sets. The raw input data set may have large dimensions and it might consume time and lead to wrong predictions if unnecessary data attributes are been considered for analysis. So using dimensionality reduction techniques one can reduce the dimensions of input data towards accurate prediction with less cost. In this paper the different machine learning approaches used for dimensionality reductions such as PCA, SVD, LDA, Kernel Principal Component Analysis and Artificial Neural Network  have been studied.
A SURVEY PAPER ON ELASTIC SEARCH SIMILARITY ALGORITHM
Authors: Nath Nilanjana Dev , Jha Shreekant , M Janki Meena , S.p Syedibrahim
Published: July 2017

Elasticsearch is a web search tool in view of Lucene. Apache Lucene is a free and open-source data retrieval programming library. Versatile Search gives a conveyed, multitenant-fit full-content web search tool with a HTTP web interface and pattern free JSON archives. It is created in Java and has been released as open source under the terms of the Apache License. Elasticsearch can be utilized to pursuit a wide range of records. It gives adaptable hunt, has close continuous pursuit, and backings multitenancy. It is appropriated, which implies that records can be partitioned into shards and every shard can have zero or more duplicates. Every hub has one or more shards, and goes about as a facilitator to delegate operations to the right shard(s). Elasticsearch is like a wrapper on top of Lucene. In this paper a detailed description of how lucene’s scoring algorithm works and how elasticsearch uses it as “similarity algorithm”
CRYPTOGRAPHIC TECHNIQUES FOR SECURE KEY MANAGEMENT IN PERSONNEL CLOUD
Authors: Vedika B. , Md Abdul Quadir
Published: July 2017

Cloud computing has become an emerging model of IT industry as it can be accessed anywhere in the world on a pay-per-use basic. But, one major problem it is facing in today’s challenging world is the security issues. Whenever the data is transferred through different connected networks, the threat is there for the users, that their data might get leaked from outsiders or an unauthorized people.In this paper we propose the solution for the above mentioned problem. We go through the cryptographic techniques by combining the two messages into an encrypted data and then sending it to the destination. We also propose a new method of how to exchange the keys and how the keys get interact at the user and system level.
MATHEMATICAL ARCHITECTURE OF MICROSERVICES FOR GEOGRAPHIC INFORMATION SYSTEM BASED HEALTH MANAGEMENT SYSTEM
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

Despite the wide adoption of distributed computing with several webs standards and cloud technologies; building of city wide health management system for smart city platform is a daunting task. Owing to the limitations in sparse learning of disease outbreak and its dynamic nature. As it would require development of a scalable, distributed and evolving architecture on the web; where a sparse machine learning based algorithm will enable authorities collaborate in preventing, controlling and responding to a specific disease outbreak and its time factor analysis.  In this work, a mathematical system model is presented for sparse learning in Geographic Information System (GIS) based architecture to support continuity of microservices in health management setting. The model is able to continually cope with the transformation in architecture to match with the system goals of microservices and anticipate the evolutionary aspects of the architecture configuration.
MATHEMATICAL MODELING OF FEEDBACK CONTROL OF GRAVITATIONAL WAVES
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

We present an analysis for gravitation through space-mass quantization technique where gravitational waves is the fundamental interaction through distinct state of quantization of mass & space  while remaining mathematically compatible with general relativity (GR). It also encompasses issues such as the notion of space-radiative expansion leading to order in the large radius expansion, zero point energy & also space-contraction is introduced that sets the physical scales and subleading terms. We discuss conditions under which gravitational waves is transformed locally under space-mass action. A proposal for improving the current use of scientific methods & mechanism to forge a model of gravitational waves is given. We refer this physical interpretation in rest of the text as “Quantize field Theory”.
MODELING AND DYNAMICS OF PUZZLING SPACE PROBES ANOMALIES IN SPACE ENGINEERING
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

The anomalous delay of Pioneer 10, the unexpected increase of velocity & radius of space probes & celestial bodies is discussed respectively. An attempt is made to solve this puzzling anomaly. Deprived from empirical properties of nuclear matter an inverted potential in an anisotropic pressure is added to the space which avail us to account for the explanation of this anomalies.
COMPUTATIONAL TECHNIQUE FOR MODELING AND CLUSTERING OF FEEDBACK CONTROL IN GALAXIES USING GRAVITATIONAL THERMODYNAMICS
Authors: Rai Ankush , R Jagadeesh Kannan
Published: July 2017

A model for clustering of galaxies through relativistic gravitational thermodynamics is laid on. Unlike the theories presented which consists of point mass system in expanding universe we presented the methodology in which partial differential equation & thermodynamic equations with the equation of state in accord with gravitational interaction between particles in order to study extended structures of universe.
ENERGY AWARE ZONE ROUTING PROTOCOL FOR MANET
Authors: Emilselvan G.s.r. , Gayathri N. , Rai Ankush , R Jagadish Kannan
Published: July 2017

Mobile Ad hoc Network (MANET) is a dynamic network consisting of a collection of wireless mobile nodes that communicate with each other without the need of centralized authority. Each node can send and receive data, and it should also forward routing information unrelated to its own use. Routing protocols in MANET establish path between source and destination based on number of hops. Establishment of shortest path alone is not sufficient to prolong the network lifetime. Energy consumption reduction methods are necessary as the nodes in MANET are restricted by battery supply. Energy is drained when the MANET nodes transmit and receive the data. For itself, energy management techniques are necessary in order to improve the performance of the routing protocol. Both proactive and reactive protocols have trade-off in them. ZRP is a hybrid protocol which overcomes the shortcomings of proactive and reactive routing protocols. ZRP divides the entire network into zones of variable size where routing inside the zone is performed using proactive routing approach and exterior to zone is performed using reactive routing approach. The performance characteristics of the ZRP protocol are established through simulations by comparing it to well-known routing protocol namely AODV.
XTREAMS TOOLKIT UI DEVELOPMENT ON MICROSOFT WPF TECHNOLOGY
Authors: Manusmare Rutuja Pramod , Sariki Tulasiprasad
Published: July 2017

This project is a software application that runs with the station controller. When an error appears at the station controller it triggers a response flow checklist (RFC). An RFC is a troubleshooting procedure that helps you fix problems in manufacturing. A RFC is a series of instructions you define to help a manufacturing technician troubleshoot an equipment-related problem while processing. Trigger is a combination of micro-conditions. When a trigger occurs XTREAMS system automatically, it retrieves the RFC associated with that trigger. Authoring is the process of creating RFCs using the XTREAMS authoring tool. One can use the XTREAMS authoring tool to create RFC flow diagrams that the XTREAMS execution tool will display as step-by-step instructions for the RFC user. During running of a tool if the equipment is not ok, there could be multiple reasons or causes (C1, C2). These causes could be isolated by running a pre-defined checklist, that is, RFC. After the RFC and the triggers than are associated are approved using the XTREAMS Authoring Application the contents are send over to the various Intel Sites which are XTREAMS enabled. The toolkit that is provided with XTREAMS product provides one a unique capability to translate the received RFC contents to geo-specific languages so that the RFCs are relevant for the users of that particular geo. The aim here is the XTREAMS toolkit UI development on Microsoft Windows Presentation Foundation Technology so as to make it even more efficient and reliable, also which will set it free for unit tests to be performed appropriately. The MVVM framework has been followed for the purpose of development.
DIABETIC RETINOPATHY IMAGE CLASSIFICATION USING DEEP NEURAL NETWORK
Authors: En Parvathy , G Bharadwaja Kumar
Published: July 2017

Healthcare is an important field where image classification has an excellent value. An alarming healthcare problem recognized by the WHO that theworld suffers is diabetic retinopathy (DR). DR is a global epidemic which leads to the vision loss. Diagnosing the disease using fundus images is a timeconsuming task and needs experience clinicians to detect the small changes. Here, we are proposing an approach to diagnose the DR and its severity levels from fundus images using convolutional neural network algorithm (CNN). Using CNN, we are developing a training model which identifies the features through iterations. Later, this training model will classify the retina images of patients according to the severity levels. In healthcare field, efficiency and accuracy is important, so using deep learning algorithms for image classification can address these problems efficiently.
EXPERIMENTAL STUDY ON IN-POND HEAT EXCHANGER PROVIDED WITH TWISTED TAPES
Authors: K Karunamurthy , Singh Nayan , Singh Vivek
Published: July 2017

In-pond heat exchangers (IHE) are used in salinity gradient solar ponds (SGSP), to transfer heat from hot saline water of the lower convective zone to the heat transfer medium. The performance of the SGSP depends on the performance of the IHE, which in turn depends on the method of heat transfer augmentation. A laboratory model IHE was fabricated to augment the heat transfer using helical twisted tapes (HTTs). The effects of varying twist ratio and double TTs on pressure drop and heat transfer were studied in this experimental work. Conventional HTTs of three twist ratios (Y=7, 9, 11), twin TTs of co-swirl flow (CoTT), and counter-swirl TTs (CTT) with Y=7 were provided in the flow path of the heat exchanger tube for analysis. From the results, it is observed that TTs with less twist ratio yielded higher rate of heat transfer by sacrificing the pressure drop. Compared to single TT, double TT provided better thermal performance. The pressure drop and rate of heat transfer for CTT are more compared to all other cases, including double TT with co-swirl flow.
DETECTION OF WHALES USING DEEP LEARNING METHODS AND NEURAL NETWORKS
Authors: Ghosh Saheb , B Sathis Kumar , Deivanai Kathir
Published: July 2017

Deep learning methods are a great machine learning technique which is mostly used in artificial neural networks for pattern recognition. This project is to identify the Whales from under water Bioacoustics network using an efficient algorithm and data model, so that location of the whales can be send to the Ships travelling in the same region in order to avoid collision with the whale or disturbing their natural habitat as much as possible. This paper shows application of unsupervised machine learning techniques with help of deep belief network and manual feature extraction model for better results.
Lexical tone in Deori: loss, contrast and word based alignment
Authors: Mahanta Shakuntala , Dutta Indranil , Acharyya Prarthana
Published: July 2017

In this paper we investigate the existence of tones in Deori, a language which is historically known to have had tonal distinctions. In a study, 5 speakers were recorded for their production of potential lexical tones in a list of 34 words, and a list of 54 monosyllabic roots were recorded for a vowel experiment. We conducted an f0 analysis in order to examine the extent of ‘tonoexodus’ and loss of tonal properties in Deori. To the extent that experimental methods can be used to determine lexical tone, phonetic measurements of f0 and further statistical analysis reliably indicate the distribution of lexically distinct tones. The results show clear presence of tonally distinctive words but without any definitive tonal alignment. We consider the diachrony and synchronic analysis of this and conclude that the syllable is not the Tone Bearing Unit in the conventional sense in current Deori, and that there is no clinching evidence to suggest alignment and spreading of the lexically distinctive tone to the right edge. Given these results, we conclude that tone is spread in the entire word in Deori. We also note that Deori no longer exhibits the prototypical Tibeto-Burman sesquisyllabic pattern and has instead developed an iambic stress pattern.
Quimioterapia metronômica para o tratamento de tumor de células carcinomatosas de transição na região de trígono vesical em gato
Authors: Grapegia Filipe , Lima Bruno Roque
Published: July 2017

The metronomic chemotherapy has been winning space on Veterinary Medicine gracefulness to it easiness accomplish of the treatment and it’s low price, so the owners are accepting facility to submit your pet to this treatment. The other advantage of metronomic than conventional chemotrerapy is their colateral effects are lighter. The choice of the type of chemotherapy treatment depends on the general condition of the patient and the criterion adopted by the veterinarian. The present work had as objective to show results of treatment with metronomic chemotherapy in cat, diagnosed with carcinoma of transitional cell in the region of vesical trigon, without exposing the animal to a surgical procedure directed to remove a tissue sample for a histopathological examination. The focus of this treatment was the improvements of patient’s life quality and achieves to fully heal or control the disease.
Ajuste de curvas de crescimento para à produção de cana-de-açúcar
Authors: Melo Aurélio , Ferreira Wederson Leandro , Silva Junior Fabio Vieira da , Moreira Juracy Mendes , Gonzalez Guido Gustavo Humada , Melo Juliano Bortolini5, Aurélio Ferreira , Melo Aurélio Ferreira
Published: July 2017

The modeling of growth curves is very common in data from repeated measures in time, because it is possible to establish a functional relationship between the time and the treatments used. The main objective of this work is to obtain a functional relationship that establishes a polynomial association between the production, in tons, and the 5 years in which 3 sugarcane genotypes had their production measured in an experiment installed in the Puerto Rico Plant, in Alagoas, conducted by UFSC. The experimental design was the randomized blocks, with 4 replicates. In these models we assume fixed mean curves, around which there are random variations for the individual curves of the respective experimental units. It was verified by the AIC and BIC criteria that the best structure is the variance component (VC) to represent the covariance matrix of the experimental and unstructured error (UN) for the covariance matrix of the random effects parameters and that the polynomial of 3rd degree was selected to represent the average relation between production and the 5 years evaluated for the three genotypes.
Efeitos da aflatoxina na produção avícola: Revisão
Authors: Groff Priscila , Bochio Vivielle , Endo Takahashi Sabrina , Marcondes Schadeck Marli , Sartori Maier Glauber
Published: July 2017

In recent years, Brazil has been a major player in poultry production and is currently the second largest meat exporter. However, despite this promising scenario there are still certain problems to be solved, to increasingly optimize the industry. As an example, we can mention the presence of mycotoxin-producing fungi in chicken diets, mainly due to the contamination of the raw material, but specifically the cereals. Mycotoxins are toxins produced by fungi and have their proliferation related to environmental conditions. Aflatoxins are the main mycotoxins that affect poultry farming, are produced by fungi of the genus Aspergillus, aflatoxin B1 being the most toxic. The effects of aflatoxins may vary according to the age, sex, feed composition, health status of the birds. Younger animals are the most susceptible to the effects of aflatoxins, causing health damage and zootechnical indexes.
Comparação de métodos de amostragem para avaliação do sistema radicular da cana-de-açúcar
Authors: Silva-Olaya Adriana Marcela , Pellegrino Cerri Carlos Eduardo , Cerri Carlos Clemente
Published: July 2017

O conhecimento da arquitetura do sistema radicular da cana-de-açúcar ainda é limitado devido às dificuldades metodológicas para o seu estudo. A forma correta de avaliar o sistema radicular não foi claramente estabelecida. Este estudo objetivou a comparação de dois métodos diretos de avaliação da biomassa radicular: coleta de monólitos de solo e coleta de amostras em sonda. Para isto foram estabelecidas três parcelas experimentais (7,2 m2) completamente ao acaso em área de plantio de cana-de-açúcar sobre solo Neossolo Quartzarenico localizado no município de São Pedro - SP. Uma planta dentro de cada parcela experimental foi selecionada para o estudo do sistema radicular. A amostragem com sonda foi realizada em 9 pontos dentro da metade do polígono de voronoi e a densidade radicular estimada em 9 combinações de pontos de amostragem. As amostras de raízes coletadas pelos dois métodos de estudo foram separadas do solo por meio da lavagem com água corrente em um conjunto de peneiras. Posteriormente as raízes foram colocadas para secar e finalmente pesadas em balança analítica. Diferenças significativas (p<0.05) foram encontradas para os resultados da densidade radicular entre as camadas avaliadas para cada tratamento. Tanto o método monólito quanto o método da sonda indicaram tendência de decréscimo da biomassa radicular com a profundidade. De forma geral o método da sonda tendeu a subestimar a quantidade de raiz encontrada na camada superficial. Somente duas combinações de amostragem com sonda mostraram ser equiparáveis ao método do monólito.
Estandarización de una formulación de panelitas de leche: estudio preliminar
Authors: Ortiz-Álvarez José Rafael , Cortés-Jiménez Amanda , Ramírez-Navas Juan Sebastián
Published: July 2017

Las panelitas de leche (PDL) son un tipo de caramelo perteneciente a la familia de los dulces de leche. El objetivo de esta investigación fue obtener una formulación de PDL con lactosuero. Se realizaron ocho experimentos, todos ellos unifactoriales. Se estudió el efecto de diferentes materias primas y las condiciones del proceso sobre las características sensoriales de las PDL. Previamente se obtuvo un perfil sensorial de PDL comerciales que sirvió de referencia al momento de evaluar los productos obtenidos en cada experimento. Se obtuvieron PDL similares a las comerciales utilizando harina de maíz, sustituyendo un 4% de azúcar por panela, con lactosuero diluido al 50% en peso y proporciones de reemplazo de leche por lactosuero del 1:0,25; 1:0,538 o 1:1. Teniendo como condiciones de proceso una temperaturas de 90°C con un tiempo de cocción estimado de 150 minutos y una concentración final de 79°Bx.