bluuebunny/crossref_metadata_2025 huggingface dataset:
IT tools for the management of multi - representation geographical information
Authors: Falchi Ugo
Published: March 2018

The goal of this research was the creation of software tools for managing instances of a multi - representation geodatabase, able to define multiple representations and topological constraints, in relation to modeled objects and structures according to the classification of the Italian national technical specifications of the November 10, Italian Ministerial Decree 2011. After the development of a conceptual scheme, encoded in its corresponding logical mode, various computer artifacts were designed and developed from scratch to perform the upload, management and display of data: a Scheme Designer, which allows users to define the logical model and implement the physical model of an instance of Oracle; a Loader, which allows users to populate the database; a GUI, which is a graphical interface to the tools and Schema Designer Loader; a DB Navigator, which is the web interface to the database multi - representation.
Efficacy of training and development in technological colleges in DakshinaKannada district
Authors: Raghavendran V , Kumuthadevi K
Published: March 2018

Training and development are the vital steps and indicators in an incessant process of improving the quality of human resources. It is an endeavor to advance their existing and prospective performance. The institute should also keep a track on faculty’s achievements after imparting the indoctrination. It means that the training requires systematic evaluation. Training refers to a methodical procedure of shifting the actions/ behaviors of faculty’s in a path to attain the institution’s missions. An instruction courses is an exercise by the management to provide occasion for the faculty’s to acquire ability and inter-related dexterity, approach and information. In order to meet the end goals of education, the training segment has to become vibrant and refreshed updated in contemporary scenario. In order to take this training area to heights of intercontinental distinction, there is a requirement for the paramount amalgamation of new knowledge and dexterous capable labor pool. An investigation is explored through this research paper to learn the methodology of training and development in technological institutions in Dakshina Kannada District and its impact on generating efficiency among teachers to cater to the need of the students.
Performance investigation of low power radio duty cycling MAC for resource constrained WSN
Authors: Rajesh Shyamala Devi B , George A , K. Thomas Aby
Published: March 2018

Wireless Sensor Networks (WSN) are the corner stone of next generation communication networks. The OSI Layer 2 and Layer 3 communication technologies of the WSN are the important aspects in communication and networking research. The protocols and standards of WSN in different layers are already well defined. In this article, we evaluate the Layer 2 mechanisms which meet the special demands of WSNs for resource constrained applications. Large number of WSN devices need to be deployed in a typical environmental monitoring use cases. In this work we consider a use case of sensors and actuators in a small geographical region. For this a short range communication technology such as IEEE 802.15.4 is considered. Various type of sensors are deployed in the same region, in this cases effective MAC mechanism is required to effectively allocate the channel resource among these devices. The main concentration of this article is about the energy consumption of WSN devices. As the devices and network is resource constrained, energy efficient hardware’s, communication networking protocols and suitable software implementations are required. As far as the energy efficient protocols are considered MAC mechanisms is one of the very important processes, where suitable energy efficient mechanisms need to be selected. In the recent literatures showed that Contiki MAC is one of the suitable MAC layer implementation with dedicated Radio Duty Cycling Layer (RDC) which conserves the WSN nodes battery power. In this article we analyze the state of the art Layer 2 mechanisms for WSN in environmental monitoring use case, by a theoretical analysis and simulation based experiments.
Auditory psychophysical analysis of healthy individuals based on audiometry and absolute threshold tests
Authors: H. S Sanjay , S Bhargavi , S Madhuri
Published: March 2018

Psychophysics is one of the most important aspects to assess the auditory behavior in human beings. The present study has been successful in exploring the temporal resolution with respect to auditory stimulus thereby helping in the analysis of the auditory psychophysics in human beings which has been gaining wide acceptance in behavioral research. This research work concentrated on subjects with no known auditory pathological history, both males and females of different age groups, subjects exposed to noise (fabrication industry, chemical industry) and professional basketball players. The subjects were made to undergo conventional Audiometry Test (AT) as well as the Absolute Threshold Test (ATT) developed. A similar pattern was observed in the results of AT across all types of subjects. There were no eminent variations observed other than a characteristic dip between 4000 – 6000 Hz. Hence it was concluded that the AT cannot assess the variations in hearing perception for normal individuals with respect to age, sex and occupational exposure. The Absolute Threshold (ATTh) obtained from the ATT were found to be varying in subjects with respect to age and sex wherein the males had a better ATTh than females. Also ATTh was found to deteriorate with age. ATTh was able to differentiate the hearing perception of the positively conditioned (basketball players) and negatively conditioned (chemical and fabrication industry) subjects thereby proving to be an efficient tool to assess the hearing perception in the conditioned and the control set of subjects. Hence ATT based approach could be very useful in sports training and rehabilitation approaches and hence can be a very useful tool in the assessment of auditory temporal resolution of human beings in various applications.
An efficient scheduling framework for improving QoS in web service composition
Authors: N.Aruna T , Vijivinod Dr
Published: March 2018

Proficient QoS-based web service determination from the various number of practically substitutable web service to convey complex undertakings are a present call from the business world. QoS-based web service’s determination is a multi-target improvement issue. Current methodologies like FCFS, Priority and Multi-queue to explain it. Be that as it may, the execution time of QoS-based web services choice to accomplish the most extreme wellness esteem is as yet a worry for handy circulated applications. This paper proposes a productive method to take care of this issue utilizing the Social Spider Algorithm (SSA).
Detection of human emotions using features based on discrete wavelet transforms of EEG signals
Authors: Jaswini S The , M Ravikumar K
Published: March 2018

Affective computing is an emerging area of research in human computer interaction where researchers have developed automated assessment of human emotion states using physiological signals to establish affective human compute interactions. In this paper wepresent an efficient algorithm for emotion recognition using EEG signals for the data acquired by audio- video stimuli. The desired frequency bands are extracted using discrete wavelet transforms. The Statistical features, Hjorth parameters, differential entropy and wavelet features are extracted. Artificial neural networks, Support Vector Machine (SVM) and K- nearest neighbor are used on the extracted feature set to develop prediction models and to classify intofour emotion states likeclam, happy, fear and sad .These Artificial neural network models are evaluated on the acquired dataset and emotions are classified into four different states with over all accuracy of 86.36%.The classification rate of calm, happy, fear and sad states are 90.9%, 63.63%, 90.90 and 100 % respectively.
A comparative study on feature extraction and classification of mind waves for brain computerinterface (BCI)
Authors: K Manjula , B.Anandaraju M
Published: March 2018

Brain Computer Interfacing (BCI) is a methodology which imparts a path for communication from external world using brain signals through computer. BCI identifies the specific patterns in a person’s changing brain activity to initiate control which relates to the person’s intention. The BCI system paraphrases these signal patterns into meaningful control command. In evolving BCI system, numerous signal processing algorithms are proposed. Non-invasive Electroencephalogram (EEG) signals or mind waves are used to extract the distinguished features and further they are classified choosing an appropriate classifier. A study on different feature extraction & Classification algorithms is used in EEG-based BCI exploration and to identify their distinct properties. This paper proposes different methodologies of feature extraction and feature Classification. It also addresses the methods and technology adapted in every phase of the EEG signal processing.This comparative survey also helps in selecting suitable algorithm for the development and accomplishment of further classification of signals.
Performance comparison prediction of energy states of atoms in doxorubin and docetaxel using various computational simulations for cancer treatment
Authors: Nair B.J Bipin , K.V Vishnu
Published: March 2018

Every atoms or compounds must have ground state as well as excited state when they are participating in chemical reactions. Drug is also a chemical compound which also has the two states. Computing the physical properties of a drug compound and calculate its energy states and Comparing the ground state and excited state performance of aromatic cyclic cancer drugs like doxorubicin and docetaxel using various types of cheminformatics methods.in our work we are using so many physical properties like surface area of an atom etc. to check the efficiency of drug.
Evolutionary clustering annotation of ortho-paralogous gene in a multi species using Venn diagram visualization
Authors: Nair B J Bipin , M S Sarath
Published: March 2018

The evolutionary analysis of the genome of the immediate cluster is an important part of comparative genomics research. Identifying the overlap between immediate homologous clusters allows us to elucidate the function and evolution of proteins between species. Here, we report a network platform called Ortho-paralogous Venn-diagram representation that can be used to compare and visualize a wide range of ortho-paralogous clustering of genomes. In our work Ortho-paralogous Venn-diagram results show a functional summary of interactive Venn diagrams, summary counts, and interspecies shared cluster separations and intersections. Ortho-paralogous Venn-diagram also uses a variety of sequence analysis tools to gain an in-depth understanding of the cluster. In addition, Ortho-paralogous Venn identifies direct homologous clusters of single copy genes and allows custom search of specific gene clusters. It enables us in wide analysis of the genes and protein by comparing the genes using Venn diagram .Here the user can upload our own gene sequences into the application ,using three clustering approach to check the best clustering approches like SOM,K-means and advanced clustering after that we are using the Venn diagram repersentator to evolutionary cluster the genes having similar functionality and structural similarity from the uploaded data.Here we are using a venn diagram representation as an application which used to cluster the orthologous and paralogous gene on basics of their evolution and functional aspects.it enables us in wide analysis of the genes and protein bycomparing the genes using venn diagram representation.here the user can upload our own gene sequences into the application where the venn diagram representatorclusters.the genes having similar functionality and structural similarity from the uploaded data.
Development of surface coating for underwater concrete structures
Authors: Sharmila S , Keerthana P
Published: March 2018

Surface coating is the most focused research problem in the construction sites to repair the deteriorated concrete. Surface coating is an most necessary process to be performed in concrete to avoid the issues such as aesthetics, sealing, chemical resistance or abrasion resistance. These coatings are termed as special resins with proper compositions of materials which can prevent the transmission of water and contaminants while at the same time keeping the structure safe. This research work focuses on preparation of surface and the protective surface coating to protect the concrete. High performance coal tar with polyurethane coating materials are used to protect concrete from chemical and mechanical attack in interior, exterior and marine environments. Coal tar with polyurethane coating systems consist of two or more components blended and applied as a film, reacted chemically to form a protective film of high integrity, excellent adhesion, toughness and impact resistance. The coating were applied on 4”x4”x4” concrete cubes and kept for one week curing the samples, thickness of the coating were ~70±5μm measured using hegman gauge. The tests such as Abrasion resistance, pull off test, water absorption test, chloride resistance test and Rapid chloride penetration testwere performed and the results exemplifies that  coal tar mixed with polyurethane coating can be used for underwater concrete structures.
A structure of the savvy situations and coordinated biological systems for keen urban communities with enormous information
Authors: Ani Bernish T , Praveenkumar R , Abirami M , Gunasekaran K
Published: March 2018

The Internet of Things (IoT) has been a noteworthy impact on the Huge Information scene. The primary thought behind the IoT unrest is that practically every protest or gadget will have an IP address and will be associated with each other. Presently, considering the way that a large number of gadgets will be associated and will create huge volumes of information, the proficiency of information gathering system will be tested. The Internet of Things (IoT) is en route to turning into the following innovative transformation. As indicated by Gartner, income created from IoT items and administrations will surpass $300 billion out of 2020, and that most likely is only a hint of a greater challenge. Given the gigantic measure of income and information that the IoT will create, its effect will be felt over the whole enormous information universe, driving organizations to update current devices and procedures, and innovation to advance to suit this extra information volume and exploit the bits of knowledge this new information without a doubt will convey for shrewd urban areas.
Influence of stirrup spacing on shear resistance and deformation of reinforced concrete beams
Authors: M S Latha , M Revanasiddappa , B M Naveen Kumar
Published: March 2018

An experimental investigation was carried out to study shear carrying capacity and ultimate flexural moment of reinforced cement concrete beam. Two series of simply supported beams were prepared by varying diameter and spacing of shear and flexural reinforcement. Beams of cross section 230 mm X 300 mm and length of 2000 mm. During testing, maximum load, first crack load, deflection of beams were recorded. Test results indicated that decreasing shear spacing and decreasing its diameter resulted in decrease in deflection of beam and increase in bending moment and shear force of beam.
Highlights methodology of time characteristics optimization for plastic products production
Authors: Matarneh Rami , Sotnik Svitlana , Deineko Zhanna , Lyashenko Vyacheslav
Published: March 2018

Basic elements of casting process and its main stages are considered. Features of time characteristics for production of plastic products are investigated. The main stages in the methodology of time optimization characteristics for the production of plastic products are given. The proposed methodology allows to increase productivity and optimize the time characteristics of the process of production of plastic products, taking into account the preservation of the quality of plastic products which is achieved by reducing the casting cycle. At the same time the considered methodology considers plunger time forward and backward, the "course" of the nozzle time, the time of extraction of the product from the matrix during the production of plastic products.
Inductance gradient and current density distribution for T-shaped convex and concave rail cross-sections
Authors: Kumar M. N. Saravana , Murugan R. , Shivkumar Poorani
Published: March 2018

Rectangular rail was the most widely used cross section shape for the rail gun electromagnetic launching (EML) system. Based on sector assimilation, the rail gun key parameter especially current density (J) and inductance gradient (L’) greatly affected. J decides the efficiency of EML and L’ decides the force acting on the projectile of EML. So, it is mandatory to look upon the sector assimilation of rails. In this paper T shape convex and concave shape rail cross section is proposed and rail gun key design parameters are calculated by varying its dimensions using Ansoft Maxwell 2-D eddy current solver which uses finite element analysis technique to calculate these parameters. The performance of rail gun discussed using the obtained values and it has been observed and that the compared with other considered rail geometries, the T-shaped concave model shows more impact on inductance value which causes uniform current density distribution over the rails.
Effect of different attacks on image watermarking using dual tree complex wavelet transform (DTCWT) and principle component analysis (PCA)
Authors: Sudha M S , Thanuja T C
Published: March 2018

Perceptibility and robustness are two incongruous requirements demanded by digital image watermarking for digital right management and other applications. A realistic way to concurrently satisfy the two contradictory requirements is to use robust watermark algorithm. The developed algorithm uses DTCWT and PCA techniques to embed watermark signal in host signal. To prove the algorithm robustness without much affecting perceptibility several attacks like noises, cropping, blurring, rotation are applied and tested by varying attack parameters. Parameters like Peak signal noise ratio and Correlation Coefficient are calculated for each attack. Attack percentage is varied and performance parameters are calculated to prove the robustness of the developed algorithm.
A study on geotechnical properties of marine clay stabilized with lime and recron-3s fibre
Authors: S V Prasad D , DurgaVara Prasad L , Shivanarayana Ch
Published: March 2018

The necessity to tap natural marine resources from the ocean beds represents a considerable challenge for the construction of offshore structures on weak marine deposits. Weak marine soil deposits have been found both on the coast and in several offshore areas spread over many parts of the world. When clay particles precipitate in salt water, there is a tendency for the clay particles to flocculate and stick together giving rise to some sort of edge-to-face arrangement. As a result, clay, silt, and fine sand particles settle almost at the same rate and the final sediment formed consists of particles with a very loose card house-like structure. In thisstudy,anattempthasbeenmadetostudytheIndex Properties, Differential Free Swell , Compactionand CBR characteristics of marine clay mixing with different percentages of lime and Recron-3s fibre with a view to determine the optimum percentages and its effect on strength characteristics.Test results show that stabilizing marine clay with lime and imparting Recron - 3s fibre enhance the strength.
Research of mechanical properties of the sintered samples from electro-erosion cobalt-chromium powder
Authors: V. Ageev E , Yu. Altukhov A , V. Pikalov S , I. Serebrovskii V , I. Safronov R
Published: March 2018

The main requirement for powders for additive 3d technologies is the spherical shape of the particles. Such particles are most compactly packed into a certain volume and ensure the "fluidity" of the powder composition in the supply systems of the material with minimal resistance. Proceeding from the peculiarities of the methods for the production of spherical powders with the aim of obtaining spherical granules of regulated granularity, the technology of electroerosive dispersion is proposed, which is characterized by relatively low energy costs and ecological purity of the process. Based on the results of the studies aimed at investigating the mechanical properties of sintered samples from cobalt-chrome powders obtained for additive technologies by electroerosive dispersion, it was established that the average Vickers hardness of sintered samples is 14,63 Gpa; the porosity of the sintered samples is 6,15%.
Artificial neural network based antenna sensitivity assignments for chaotic internet service provider network architecture
Authors: Villanueva Lolit , C. Gustilo Reggie
Published: March 2018

The connectivity and grade of service of an Internet Service Provider (ISP) in the Philippines is observed and analysed in this research. Traditionally, the sensitivity of the antennas for wireless access points are done manually by monitoring the signal levels onsite during the installation process. Ten subscriber locations are randomly selected as test points. The connectivity of these subscribers is observed given that their sensitivities are set manually. Finally, a proposed artificial neural network algorithm is presented to improve the availability of the internet link. The proposed algorithm incorporates the random variations of the received signal levels of the internet access points and possible degradation of signals from attenuation due to rain. Experiment results show that at least 75% increase in availability is observed using the proposed algorithm during rainy events.
Pipelined model for classification of the processed tweets
Authors: M. Bandgar B
Published: March 2018

The The extraction and processing of the real-time tweets is one of the challenging tasks. The processed tweets are classified using unstructured models. These showed no. of neutral tweets after the classification the tweets. Therefore, here pipelined unstructured model is developed the for the classification of tweets and explored to reduce the number of neutral tweets. It showed more reduction in the number of neutral tweets as compared to other unstructured model such as the SWNC model results.
Identify the effective documentation method for representing the functional software architecture
Authors: Iyas Ibriwesh , Ho Sin-Ban , Chai Ian
Published: March 2018

Software architecture mainly focuses on the high-level structures of the proposed software, and how to document these structures. A documentation method that represents an incomplete picture is one reason for inadequate requirements. This leads to requirements engineers wasting their time arguing over what to do and how to do it. Four documentation methods are frequently used in order to document stakeholders' statements, particularly for representing the functional perspective, namely, Natural Language (NL), Data Flow Diagram (DFD), Use Case Diagram (UCD), and Activity Diagram (AD). This research was carried out using the electronic market application domain as a test context. A controlled experiment was conducted among 158 participants, comparing among NL, DFD, UCD, and AD methods, which aimed to find out which requirements documentation method is more effective, helpful, and easier to comprehend. The results from this empirical study reveal that the AD method is more effective, understandable, and easier to document the software requirements in the functional perspective. Furthermore, AD had better performance in representing the requirements engineering context, system context, and development context than the other functional documentation methods. These empirical results would help software companies and associated experts enhance the quality of their software products, as well as increase the chance of success of software projects.
A vibrant data placement approach for map reduce in diverse environments
Authors: Sujatha J , Meena K
Published: March 2018

Map reduce assumes that the computing capacity is same for each node in a cluster. Each node is assigned to the same load in homogeneous environment, hence it fully use the resources in the cluster. In such a cluster, there is likely to be various speciﬁcations of PCs or servers, which causes the abilities of the nodes to differ. If such a heterogeneous environment still uses the original Hadoop strategy that distributes data blocks into each node equally and the load is also evenly distributed to each node, then the overall performance of Hadoop may be reduced. The majorreasonis thatdifferentcomputing capacitiesbetweennodes causethetask executiontimeto differ so thatthefasterexecutionrate nodes processinglocal data blocks faster than other slower nodes do.The required data should be transferredfrom another node through the network.Becausewaitingforthedatatransmissiontimeincreasesthetask executiontime,it causestheentirejobexecution timeto becomeprolonged.
Implementation and performance evaluation of AODV-PSO with AODV-ACO
Authors: . Kavita , Sahai Prashant , Mittal Sonu
Published: March 2018

AODV gives a course to correspondence while the bunch head is chosen utilizing PSO, in light of the separation from the group part hub to sink hub and the lingering vitality in that hub. Reproduction comes about demonstrate that the inspiration of this work enhances the lifetime of the system remarkably. The Performance of Wireless Sensor Network is upgraded by the proposed Algorithm in light of AODV with PSO convention as far as expanded Packet conveyance proportion, diminishing the normal deferral, expanded normal throughput and diminishing aggregate vitality utilization amid execution.
Development of smart farming - a detailed study
Authors: M. Chidambaranathan C , Handa S.S. , Ramanamurthy M.V.
Published: March 2018

Agriculture is the backbone of every country. The country’s development is not due to Industrial development alone, but also due to the agriculture development. The Country like India depends upon the 70 percent of the agriculture. In the recent year’s agriculture productions got down due to the natural disasters like flood, famine and etc., hence the country should implement the latest technology to overcome the problems in agriculture. Recently Internet of Things (IoT) is the latest technology used in all the fields. By 2020, IoT would be effectively implemented in every field. In agriculture, Smart Farming which is involves connecting sensors and internet to collect various parameters like temperature, humidity, moisture and etc., and share with the farmers periodically. It is the latest technology which improves the agriculture as well as country economy. In this paper we will discuss the various methods of smart farming.
Development of a web-extension for authentication of online hadith texts
Authors: Nomani Kabir Muhammad , Munirul Hasan Md , Arafatur Rahman Md , Tao Hai
Published: March 2018

Background and objective: With the widespread internet availability, now-a-days Hadith texts which are essential sources of Islamic knowledge appear on many websites. In this paper, a client-based web-extension program that can authenticate online Hadith texts from Sahih Bukhari and Sahih Muslim is presented.Materials and Methods: First, the program reads the content of the specific browsed website and identifies Arabic language only. Then this Arabic text is screened to verify whether this contains any Hadith text by comparing with the authentic source. If complete match occurs in comparison, then the text is marked with green color proving the text as authentic. If some words/letters are missing, then the text will be marked with red color indicating that the Hadith is unauthentic and requires to be verified.Results: Using this web-extension, the authenticity of Hadith from Sahih Bukhari and Sahih Muslim can be verified simply by clicking a button of the web-extension. If the Hadith is unauthentic, it will display the authentic version of Hadith just by moving the mouse over the unauthentic text. Conclusion: This application will create Islamic consciousness for ordinary people. The application will also benefit government agencies of Islamic affairs, Hadith printing centers, etc.
Unstructured source artifacts ontology for requirement validation in GDSD
Authors: Altaf Sohaib , Shah Asadullah , Imtiaz Najma , Salaam Shah Abdul , Faiz Ahmed Syed
Published: March 2018

Analyst while transformation, may not capture true representation of user opinion thus creating deviation from actual user needs. Role of stakeholder is primary in both requirement elicitation and validation process. In elicitation stage they are initiator whereas in validation stage they are authenticator of their needs. Invalid requirements if verified may not be a deviation from specified behavior but deviation from user needs. Requirement validation process ensure that requirements should be representing all primary and intermediary artifacts as well a shared opinions of their contributors. This highlights the importance of source artifacts without which requirement validation cannot assured. Researchers didn’t propose any framework for requirement validation in context of GDSD in which source artifacts grows exponentially, and stakeholders are located in diversified locations. Due to unstructured nature of source artifacts, they are not electronically indexed and versioned controlled and this makes difficulty in preserving them. Requirement validation is not possible when source artifacts are not available along with their contributors. The major contribution of this paper to address problem of requirement validation in GDSD in absence of stakeholder to make it collocating environment. This paper introduced ontological solution of requirement validation in which target artifacts are validated against source artifact using their semantic relationship. This paper proposed an unstructured source artifact based ontological model for requirement validation in GDSD environment.
IOT and XBee triggered based adaptive intrusion detection using geophone and quick response by UAV
Authors: Samkaria Rohit , Singh Rajesh , Gehlot Anita , Pachauri Rupendra , Kumar Amardeep , Singh Neeraj Kumar , Rawat Kaushal
Published: March 2018

Monitoring of remote areas needs a lot of man power, in this contrast an important additional layer to perimeter protection for home land security application is Seismic footstep detection based systems. This paper mainly concerns with the detection of any human intrusion by the detection of the footsteps from a person from few tens of meters away using an underground seismic sensor, Geophone and placing the intrusion data over the cloud by using IOT. Presence of footstep is indicated by the impulses in the geophone signal. Kurtosis, a statistical measure is used to identify the impulses, can apply for a short duration of time for which a footstep exists. Present method is less complex and computationally efficient, all the input data stored in memory, which are read through microcontroller through ADC and stored in memory is subjected to kurtosis using microcontroller. Many such nodes are connected in a topology to build a Sensor Network. Indication of the intrusion will occur when microcontroller of sensor node calculates higher kurtosis value and will send this value to control room and data is uploaded to cloud at the same time.
Algorithm to read various sensors to detect the hazardous parameters in industry
Authors: Singh Rajesh , Samkaria Rohit , Gehlot Anita , Kumar Singh Neeraj , Rawat Kaushal , De Aisik , Rahiman Adil
Published: March 2018

In the construction and coal mine industry various accident statistics indicates the fatalitiesand serious injuries due to the hazardous con-fined areas. The most cases occurs due to the lack of the oxygen, poisonous gasesand temperature extremes shown in the review of inter-national safety regulation review which has the major contribution to make these area hazardous. In order to reduce these health and safety hazards the works proposed is based on the wireless sensor area network technology to monitor various parameters which may lead to haz-ardous condition so that the early warning of hazards can give and casualties which occurs unknown parameters may reduce. The developed model having the database design with management to monitoring system with the help of desktop application. The hazardous indication warning is transmitted to base station by different wireless node and received at base station.
Stability analysis of paper machine headbox using a new PI(D) tuning technique
Authors: Saini Parvesh , Kumar Rajesh
Published: March 2018

Paper, today, has made an important place in human’s life. Being an important commodity, paper has different qualities throughout the globe. As the technology is advancing, paper is being used for numerous applications and need of good quality paper is increasing daily. To have papers of desirable quality, paper machines with latest technology are developed. However, the quality of paper principally depends on the prime element of paper machine i.e. Headbox. Headbox is a highly non-linear Multi-input Multi-output (MIMO) component of paper machine and requires a precise control of its major parameters to get good quality papers which eventually responsible for sustained economy of pulp and paper industry. In past few decades, headbox has been a key element for research. Researchers have developed different control algorithms for headbox. This paper presents stability analysis of paper machine headbox using a new technique of Proportional – Integral – Derivative (PID) controller design namely Extended Forced Oscillation method (EFO). Also, the paper presents a comparative analysis of EFO method of PID tuning with the conventional Ziegler - Nichols(ZN) tuning technique based on transient characteristics and performance indices of headbox.
Saving energy and improving performance in SDN using rate adaptation technique
Authors: Rout Suchismita , Sekhar Patra Sudhansu , Bibhudatta Sahoo
Published: March 2018

Energy efficiency in wired networks has received considerable attention over the past few years for its heavy economic impact. Energy consumption in such network is becoming a challenging issue. Among all these wired networks Software Defined Networking (SDN) is considered as an intelligent network in which use of programmability provides the best solution for network operation. The logical separation of data plane and control plane enhances its network functionality. Despite of all these mechanisms, energy consumption is also an alarming issue in SDN. Various researchers propose many approaches in order to utilize the energy in its best way. Herein we consider the normal scenario of a data center network, and propose a new energy efficient routing algorithms to improve the performance in SDN, called SERAT. In this work, we focus on discrete of data rate of the link in order to minimize energy consumption in the network. In wired network the underutilized links are even operated in high data rate, increasing energy consumption. In order to reduce energy consumption of the network the links must be operated as per their utilization factor. We have used an output buffer queue with two levels of threshold values in order to monitor the performance of the network. Simulation result shows that the proposed technique leads to major amount of energy savings without mush affecting the throughput.
Pendulum state estimation using nonlinear state estimators
Authors: Naga Anusha M , Swara Y , Koteswara Rao S , Gopi Tilak V
Published: March 2018

The convergence over Non-linear state estimation is not satisfied by Kalman filter. For nonlinear state estimation problems, the present research work on the performance analysis of linearized kalman filter and extended kalman filter for a simple nonlinear state estimation problem. The simple pendulum is the best example for simple nonlinear state dynamics. The performance analysis based on the root mean square errors of the estimates also specified through Monte-Carlo simulation.
A Review of fine grained access control techniques
Authors: Shirsath Rakesh , K. V. Daya Sagar Dr
Published: March 2018

Nowadays cloud computing is most demanding technology where computing resources are availed as per demand through Internet. Cloud computing model also brings many challenges for confidentiality, integrity, privacy of data and data access control. As cloud computing develops vigorously, an increasing number of enterprises and individuals are motivated to upload their data sources to the public cloud server for sharing. It is not entirely credible for enterprises and individuals to transfer data owing to the openness of the cloud server, so they must encrypt data before uploading and also loose direct control of data. Therefore, an elastic access control or fine-grained access control approach for data is urgently required and becomes a challenging open problem. In this paper, the issue of access control is discussed by defining traditional access policies. Attribute based access policy is analysed with its types. Finally, comparison is made among all policies with respect to various parameters.
Smart farming: disease detection in crops
Authors: Balram G , Kiran Kumar K
Published: March 2018

Automation in the market has been for decades now in the market. These systems run all through the day but there has not been any design which regards to identifying and classifying objects in specific and giving apt solution to them. Latest technologies like image processing and advanced machine learning mechanisms have become the core of the science and innovations. Our project’s idea is a broad concept that integrates various subjects and generates solutions to energy saving, cooling, automation and structural design.  To get the desired results, above are the few constraints which play a major role in yielding high productivity from the crops. And besides them, the classification of objects through image processing and machine learning is used instead of the man power to accomplish the target to reduce the amount of hardware used
IoT security through web application firewall
Authors: Prema Sindhuri B , Kameswara Rao M
Published: March 2018

The current trend in home electronics needs to be Internet Connectivity. Internet of Things is a collection of many interconnected objects, services and devices that can communicate and share the data to achieve a common goal in different areas and applications using internet. Attacks on IoT devices are physical attacks, side channel attacks, cryptanalysis attacks, software attacks, network attacks. The network attacks does not require physical access to create a major disruption like DDos in the network. The attackers can insert themselves between us and our devices like Man in Middle Attack. A firewall acts as a barrier between a trusted network and an untrusted network. This is a proposed work to focus on the security challenges of IoT using web application firewall.
Strategies to handle heterogeneity prevalent within an IOT based network
Authors: Pavithra T , K. R. Sastry J
Published: March 2018

One of the most important features of an IOT network is heterogeneity among the devices, subnets, communication systems, data storage and retrieval. IOT can be conceived to be in existence in hierarchal structure having situated in many layers. In each of the layer there is an element of heterogeneity. The heterogeneity is more severe in the layer which deals with real connect and communication.In this paper different strategies are explored for handling heterogeneity among communication protocols that are used for effecting communication among devices, cluster of devices and the alike
A brief exploration of fog computing architecture, technologies and challenges
Authors: Challa Ramaiah , Kiran Kumar K
Published: March 2018

Now a day’s IoT systems are being used in rapid rate, so much data is being generated by  massive ubiquitous things handling of that much data is not a simple issue it very critical task. Then again, despite the fact that that distributed computing has filled in as an efficient approach to process and store these information, in any case, challenges, for example, the expanding requests of ongoing or dormancy delicate applications and the impediment of system data transfer capacity, still can't be tackled by utilizing just cloud computing. Accordingly, another computing known as fog computing was proposed as extension of cloud computing. It brings the cloud services that are communication, computation and storage near to edge devices and users so latency can be reduced. In this papers details of fog computing are discussed.
Connecting vehicles using Li-Fi technology for reducing accidents
Authors: Raghava Rao K , Sai Sasi Preetham K , Edukondalu K , V.Ragavendra Reddy L
Published: March 2018

Li-FI technology is transferring of data using Led’s in visible light spectrum. Basically Li-Fi is similar to that of Wi-Fi but this Li-Fi is 10 times faster than Wi-Fi, as Wi-Fi uses radio frequency which has some transmission limitation Li-Fi is very useful to replace such limitations. We can use this technology in many areas like hospitals air traffic control, vehicles and under water communications.in this Li-Fi technology we mainly use led’s as a transmitter which will send stream of data by toggling with a speed that can’t be identified by the human eye and photodiode as a receiver which converts light energy to electrical energy. Connecting vehicles can be obtained by replacing head and tail lamps of the vehicle with led’s and photodiode should be attached at both front and rear end of the vehicle go get the data from both leading and following vehicles. By transferring the data about the motion of vehicle through led’s we can reduce the collision of vehicles. This technology is also used to regulate the information about the traffic by replacing the street lights with led and transfer data about the traffic in that route for every vehicle that passes through.
SAML based context aware IDM a fine-grained proxy re-encryption approach to improve the privacy of users identity data in cloud environment
Authors: S Srinivasa Reddy Modugula T , Vijaya Babu B , Pachala Sunitha , Chiramdasu Rupa , Sumalatha L
Published: March 2018

Cloud computing has made tremendous changes in IT industry by offering various services ranging from Iaas, Saas, Paas, Daas, IDaas to Xaas i.e. everything as a service. Identity as a service is one of the popular service offered by cloud providers which is used for Identity and Access Management which reduces the burden of identity management to companies. As the Identity data of user's moves out of organizational boundaries to cloud servers, the control over identity data is lost thereby security and privacy issues arise. To address these issues many Identity management systems have been proposed but none of them provided privacy at the fine-grained level. In this paper, we propose a SAML based ContextawareIdM, a model for fine-grained privacy-preserving identity as a service which employs Identity-based conditional proxy re-encryption to maintain and operate identity data's privacy at a fine-grained level.
Tracking of pendulum by particle smoother
Authors: RamVemuri Mohan , BinduBade Hima , Rao.S Koteswara , Gopi Tilak V
Published: March 2018

The series of tracking algorithms accelerated from linear state to non-linear state estimations like the Particle filter.Due to its vibrant computation,tracking signal gets divergedat peaks.Smoothing makes perfect estimation possible, even at that minute portions by modifying its trace based on all the prior measurement values.So, a Particle smoother is used which uses Monte Carlo approximations for smoothing in a non-linear system. Different types of Particle Smoothers can be implemented by using various algorithms. Here, a Backward Simulation Particle smoother is used which is relatively less degenerate than other smoothing algorithms.
Testing embedded systems using test cases generated through combinatorial techniques
Authors: Prasad Mudarakola Lakshmi , K.R. Sastry J , Chandra Prakash V
Published: March 2018

Thorough testing of embedded systems is required especially when the systems are related to monitoring and controlling the mission critical and safety critical systems. The embedded systems must be tested comprehensively which include testing hardware, software and both together. Embedded systems are highly intelligent devices that are infiltrating our daily lives such as the mobile in your pocket, and wireless infrastructure behind it, routers, home theatre system, the air traffic control station etc. Software now makes up 90% of the value of these devices. In this paper, authors present different methods to test an embedded system using test cases generated through combinatorial techniques. The experimental results for testing a TMCNRS (Temperature Monitoring and Controlling Nuclear Reactor System) using test cases generated from combinatorial methods are also shown.
Implementation methodology for android application development
Authors: Babu Bulli , Naveen Jada , Rajinikanth Kondaveeti , Sai Ram Krishna Pothagani
Published: March 2018

As the tuning flow of the   modern world of technology, the mobile APKs  are tremendous extracting segment of the globalization smart marketing technology. smart APKs applications are involving to a meteor pace to rise level of n utilizes and users a rich in report.  AS on the paper , Android Platform for the developing the mobile applications. Firstly, we are Here To explain about the  develop the android application as by our learnt knowledge we have created the application According to my college Website as the Business users pattern mode. Majorly we have to describe in this app is website users have to use the systems to check the recent updates and announcements and other regarding the things about related  to the academic details. for that sake we have created the application by the tutorial knowledge and basics. This app can used as same as website with as the single tap in the smart mobile. As we are tried the app as best as  possible manner in our way of our knowledge. This knowledge and creation of our works we have learnt lots things .I acquired good progress report in the creation of the application.
A prototype model for continuous agriculture field monitoring and assessment
Authors: Bhimanpallewar Ratnmala , Rama Narasingarao Manda
Published: March 2018

Indian farmers are totally dependent on agriculture and livestock for satisfying their basic food and economical needs. Maximum farmers are habitual to take crops continuously with traditional ways without checking the current suitability. Government of India has developed centers to train and provide the information to farmers but everyonedon't approach to it. To get the increased yield, usually farmers add fertilizers without understanding requirement which may leads to soil degradation.Proposed solution is an automated system which can monitor major parameters required to estimate suitability for cropping. This system can be made available locally to every farmer. Outcome of this monitoring system can be used to identify particular crop suitability, so that suitable crop can be adopted.