bluuebunny/crossref_metadata_2025 huggingface dataset:
A new method for the quantification of ambient particulate-matter emission fluxes
Authors: Vratolis Stergios , Diapouli Evangelia , Manousakas Manousos I. , Almeida Susana Marta , Beslic Ivan , Kertesz Zsofia , Samek Lucyna , Eleftheriadis Konstantinos
Published: June 2023

Abstract. An inversion method has been developed in order to quantify the emission fluxes of certain aerosol pollution sources across a wide region in the Northern Hemisphere, mainly in Europe and western Asia. The data employed are the aerosol contribution factors deducted by positive matrix factorization (PMF) on a PM2.5 chemical composition dataset from 16 European and Asian cities for the period 2014 to 2016. The spatial resolution of the method corresponds to the geographic grid cell size of the Lagrangian particle dispersion model (Flexible Particle Dispersion Model, FLEXPART, 1∘ × 1∘) which was utilized for the air mass backward simulations. The area covered is also related to the location of the 16 cities under study. Species with an aerodynamic geometric mean diameter of 400 nm and 3.1 µm and a geometric standard deviation of 1.6 and 2.25, respectively, were used to model the secondary sulfate and dust aerosol transport. Potential source contribution function (PSCF) analysis and generalized Tikhonov regularization were applied so as to acquire potential source areas and quantify their emission fluxes. A significant source area for secondary sulfate on the east of the Caspian Sea is indicated, when data from all stations are used. The maximum emission flux in that area is as high as 10 × 10−12 kg m−2 s−1. When Vilnius, Dushanbe, and Kurchatov data were excluded, the areas with the highest emission fluxes were the western and central Balkans and southern Poland. The results display many similarities to the SO2 emission maps provided by the OMI-HTAP (Ozone Monitoring Instrument-Hemispheric Transport Air Pollution) and ECLIPSE (Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants) databases. For dust aerosol, measurements from Athens, Belgrade, Debrecen, Lisbon, Tirana, and Zagreb are utilized. The west Sahara region is indicated as the most important source area, and its contribution is quantified, with a maximum of 17.6 × 10−12 kg m−2 s−1. When we apply the emission fluxes from every geographic grid cell (1∘ × 1∘) for secondary sulfate aerosol deducted with the new method to air masses originating from Vilnius, a useful approximation to the measured values is achieved.
Water-table-driven greenhouse gas emission estimates guide peatland restoration at national scale
Authors: Koch Julian , Elsgaard Lars , Greve Mogens H. , Gyldenkærne Steen , Hermansen Cecilie , Levin Gregor , Wu Shubiao , Stisen Simon
Published: June 2023

Abstract. The substantial climate change mitigation potential of restoring peatlands through rewetting and intensifying agriculture to reduce greenhouse gas
(GHG) emissions is largely recognized. The green deal in Denmark aims at restoring 100 000 ha of peatlands by 2030. This area corresponds to
more than half of the Danish peatland, with an expected reduction in GHG emissions of almost half of the entire land use, land use change and
forestry (LULUFC) emissions. Recent advances established the functional relationship between hydrological regimes, i.e., water table depth (WTD), and
CO2 and CH4 emissions. This builds the basis for science-based tools to evaluate and prioritize peatland restoration
projects. With this article, we lay the foundation of such a development by developing a high-resolution WTD map for Danish peatlands. Further, we
define WTD response functions (CO2 and CH4) fitted to Danish flux data to derive a national GHG emission estimate for peat
soils. We estimate the annual GHG emissions to be 2.6 Mt CO2-eq, which is around 15 % lower than previous estimates. Lastly, we
investigate alternative restoration scenarios and identify substantial differences in the GHG reduction potential depending on the prioritization of
fields in the rewetting strategy. If wet fields are prioritized, which is not unlikely in a context of a voluntary bottom-up approach, the GHG
reduction potential is just 30 % for the first 10 000 ha with respect to a scenario that prioritizes drained fields. This underpins the
importance of the proposed framework linking WTD and GHG emissions to guide a spatially differentiated peatland restoration. The choice of model
type used to fit the CO2 WTD response function, the applied global warming potentials and uncertainties related to the WTD map are
investigated by means of a scenario analysis, which suggests that the estimated GHG emissions and the reduction potential are associated with
coefficients of variation of 13 % and 22 %, respectively.
Effects of Sea Level Rise and Tidal Flat Growth on Tidal Dynamics and Geometry of the Elbe Estuary
Authors: Mahavadi Tara , Seiffert Rita , Kelln Jessica , Fröhle Peter
Published: June 2023

Abstract. Future global mean sea level rise (SLR), will affect coastlines and estuaries in the North Sea and therefore coastal protection as well as local unique ecosystems and important waterways. SLR will not only raise water levels, but will also influence tidal- and morphodynamics, which is why the tidal flats of the Wadden Sea can potentially grow to a certain extent with SLR. Investigations on the effects of climate change induced SLR and corresponding potential bathymetric changes inside of estuaries form an important basis for the identification of vulnerabilities and the development of appropriate adaptation strategies. With the help of a highly resolved hydrodynamic-numerical model of the German Bight, we analyse the influence of potential SLR and tidal flat elevation scenarios on tidal dynamics in the Elbe estuary. The results show an increase of tidal range in the Elbe estuary due to SLR and further reveal, that tidal flat growth can have no effect, decrease or increase the tidal range relative to sole SLR, depending on the location and amount of tidal flat elevation. Further analyses demonstrate, how geometric parameters of the Elbe estuary are changing due to SLR and tidal flat elevation. We discuss how these changes in estuarine geometry can be an explanation for the changes in tidal range.
ADAPTATION OF QGIS TOOLS IN HIGH SCHOOL GEOGRAPHY EDUCATION
Authors: Pivarníková V. , Trojan J.
Published: June 2023

Abstract. In the last decades, geography teachers have been trying to figure out how to adopt GIS (Geographic Information Systems) tools for their high school classes. Predominantly, teachers have come to use commercial versions. Lately, it has been QGIS getting more attention, especially in environments where teachers do not have access to sufficient funding. Nevertheless, there is a lack of ample research results and available teaching materials for geography teachers that want to give QGIS in their lessons a go. This paper presents our attempt to bridge this gap. We have set several goals in our search for the possibilities of adopting QGIS tools for high school geography lessons. The main one was to learn about the strategies that students have when they are learning about QGIS. Furthermore, we wanted to know what knowledge the students would demonstrate after attending a short course on QGIS basics and if their learning strategies during the lectures would impact their results. To find out, we created a set of 10 lessons and tested most of them on students from a high school in Brno, Czech Republic. The results of two pilot studies show that our research has not ended and that further investigation needs to be made about the circumstances that can affect a successful adaptation of QGIS tools in high school geography education.
AGRO-TOURISM IMPACT ANALYSIS OF CLIMATE CHANGE USING GOOGLE EARTH ENGINE IN THE RAHOVEC WINE REGION OF KOSOVO
Authors: Sanchez D. , Krasniqi V. , Rapuca A.
Published: June 2023

Abstract. Climate change is a global problem and has a major impact on the economy of the developing world. The use of open data and modeling provides a considerable resource for governments, municipalities, and NGOs to develop an understanding of how climate change will impact their communities. This paper discusses the statistical concepts used to model MODIS Land Surface Temperature dataset and calculation of water balance with interpretations of the results. The results of this paper will utilize open datasets, an analysis of the impacts of temperature changes on the developing tourist economy in the Republic of Kosovo, and the knowledge of the capacity for leveraging large geographic datasets for open climate change research. The data from this paper shows a high level of vulnerability to viticulture in Kosovo due to significant trends in water balance and land surface temperature trends within the Drini I Bardhë basin and the future impacts of this on the regions wine agro-tourism by understanding the development of climate change in the region.
A COMPARATIVE STUDY OF METHODS FOR DRIVE TIME ESTIMATION ON GEOSPATIAL BIG DATA: A CASE STUDY IN USA
Authors: Fu X. , Kakkar D. , Chen J. , Moynihan K. M. , Hegland T. A. , Blossom J.
Published: June 2023

Abstract. Travel time estimation is crucial for several geospatial research studies, particularly healthcare accessibility studies. This paper presents a comparative study of six methods for drive time estimation on geospatial big data in the USA. The comparison is done with respect to the cost, accuracy, and scalability of these methods. The six methods examined are Google Maps API, Bing Maps API, Esri Routing Web Service, ArcGIS Pro Desktop, OpenStreetMap NetworkX (OSMnx), and Open Source Routing Machine (OSRM). Our case study involves calculating driving times of 10,000 origin-destination (OD) pairs between ZIP code population centroids and pediatric hospitals in the USA. We found that OSRM provides a low-cost, accurate, and efficient solution for calculating travel time on geospatial big data. Our study provides valuable insight into selecting the most appropriate drive time estimation method and is a benchmark for comparing the six different methods. Our open-source scripts are published on GitHub (https://github.com/wybert/Comparative-Study-of-Methods-for-Drive-Time-Estimation) to facilitate further usage and research by the wider academic community.
SITE CALIBRATION WITH PROJ AND WKT2
Authors: Jimenez Shaw J. , Hernando J. , Strecha C.
Published: June 2023

Abstract. In surveying projects, a site calibration is the solution to the problem of finding a transformation between the coordinate space of a site local coordinate reference system and a well known coordinate reference system given a set of pairs of corresponding coordinates. A site calibration enables the localization of new positions with cm accuracy using a RTK/PPK GNSS receiver and a transformation, which is a much more cost-effective than using a total station and much faster than other more traditional surveying methods. While site calibration is featured by almost every modern professional-grade GNSS receiver, the implementation is closed source and the output stored in proprietary file formats, tying the user to the vendor’s ecosystem. In this paper we propose a complete solution to the site calibration problem that can be fully implemented with open source software (in particular PROJ for coordinate transformations) and whose output can be represented in terms of an open standard (WKT version 2). Two methods and representations of a site calibration are described, a fully 3D one and a split horizontal and vertical one. Our main contribution is the openness and interoperability of the solution. Another important contribution is the analysis of the sensitivity of these solutions to measurement errors.
Unsupervised classification identifies coherent thermohaline structures in the Weddell Gyre region
Authors: Jones Dani C. , Sonnewald Maike , Zhou Shenjie , Hausmann Ute , Meijers Andrew J. S. , Rosso Isabella , Boehme Lars , Meredith Michael P. , Naveira Garabato Alberto C.
Published: June 2023

Abstract. The Weddell Gyre is a major feature of the Southern Ocean and an important component of the planetary climate system; it regulates air–sea exchanges, controls the formation of deep and bottom waters, and hosts upwelling of relatively warm subsurface waters. It is characterised by low sea surface temperatures, ubiquitous sea ice formation, and widespread salt stratification that stabilises the water column. Observing the Weddell Gyre is challenging, as it is extremely remote and largely covered with sea ice. At present, it is one of the most poorly sampled regions of the global ocean, highlighting the need to extract as much value as possible from existing observations. Here, we apply a profile classification model (PCM), which is an unsupervised classification technique, to a Weddell Gyre profile dataset to identify coherent regimes in temperature and salinity. We find that, despite not being given any positional information, the PCM identifies four spatially coherent thermohaline domains that can be described as follows: (1) a circumpolar class, (2) a transition region between the circumpolar waters and the Weddell Gyre, (3) a gyre edge class with northern and southern branches, and (4) a gyre core class. PCM highlights, in an objective and interpretable way, both expected and underappreciated structures in the Weddell Gyre dataset. For instance, PCM identifies the inflow of Circumpolar Deep Water (CDW) across the eastern boundary, the presence of the Weddell–Scotia Confluence waters, and structured spatial variability in mixing between Winter Water and CDW. PCM offers a useful complement to existing expertise-driven approaches for characterising the physical configuration and variability of oceanographic regions, helping to identify coherent thermohaline structures and the boundaries between them.
The New Age of Mobile Technology
Authors: Dukita Nancy B. , Sundarajan R.
Published: June 2023

Mobile communication has become a very vital and fast evolving technology as it allows users to transmit data from distant locations to other distant or fixed locations. This proves to be the key to the main problem of business people on the move – mobility. In this paper we give an overview of existing cellular networks and explain the feature of CDPD technology principle lies in the practice of the idle time in between existing voice signals that are being sent across the networks. The major advantage of the system is that the idle time is not chargeable and so the cost of data transmission is very low. This scarcy concept of a world full of inanimate zombies sitting, locked to their mobile stations, accessing every sphere of their lives via the computer screen becomes ever more real as technology. It has the chance of influencing almost every facet of our life and has opened up new horizons to investigate in the area such as security and medicine. People have to be educated about this upcoming technology in order to avoid mistreatment. Also safety strategy, research and manufacturing policies are needed to be provided on this technology. In this paper, we present a discussion on the concept behind “THE MOBILE COMPUTING” and the legal implications of mobile computing, as relevant to the new age of mobile Technologies
Medical Image Categorization and Retrieval System in Radiology Using Bag of Visual Words Framework
Authors: Mahalakshmi S. , Raghuraman G.
Published: June 2023

In This work we present an efficient image categorization and retrieval system applied to Image Clef 2009 medical image retrieval task. In this task we have presented methodology is based on local patch representation of the image content and a bag-of-features approach for defining image categories, with a kernel based SVM classifier. Two main tasks are addressed: First organ identification task; second the detection and identification of pathologies, i.e. shifting from the organ level to pathology level analysis. We used a large generic archive of 12,000 radiographs (IRMA) to tune the system parameters. We demonstrate automated organ detection on the IRMA collection as well as the generalization to a new data collection. We submitted one run, using support-vector-machines trained on the visual word histograms in multiple scales. We proposed system was helped to find discriminating orientation and body regions in X-ray images also organ-level discrimination we show an application to pathology level categorization of chest X-ray data. Results indicate detection of pathology at a sensitivity of 88.4% and a specificity of 81%. This is first step towards similarity-based medical image categorization that has a major clinical importance in computer-assisted diagnostics. It can identify suspicious pathological X-rays and alert the referring clinicians to potential emergencies. Overall it is hoped that the development of such systems will contribute to the improvement of safety and quality of medical services
Revealing of Reducing Manners in Ad Hoc Networks with Crosslayer Approach Using SVM and FDA in Distributed Architecture
Authors: Jasmin Salma S. , Aysha Banu B.
Published: June 2023

Ad hoc network is a structure less network with independent nodes. In the ad hoc network, the nodes have to cooperate for services like routing and data forwarding. The routing attacks in ad hoc networks have given rise to the need for designing novel intrusion detection algorithms, different from those present in conventional networks. In this work, distributed intrusion detection system (IDS) have proposed for detecting malicious sinking behavior in ad hoc network. Detection process of that sinking behavior node is very important to do the further forwarding process in network. Intrusion detection system use linear classifiers for training the intrusion detection model. Cross -layer approach is involved to increase the accuracy of intrusion detection process in ad hoc network. A machine learning algorithm in non linear manner named as Support Vector Machine (SVM) involved for training the detection system and used together with Fisher Discriminant Analysis (FDA). The proposed cross-layer approach aided by a combination of SVM and FDA reduces the feature set of MAC layer without reducing information content.
Enhancing Performance of Duo Coverage Broadcasting in MANET
Authors: Thanga Nishar R.
Published: June 2023

In today’s developing environment in the field of Mobile Ad hoc Network, broadcast reliability plays vital role. In MANET when the forwarding nodes are not carefully designated, they are prone to the broadcast storm. To avoid the problem of broadcast storm, the Double Coverage Broadcasting (DCB) algorithm is introduced. The proposed scheme increases the delivery ratio though the redundancy is reduced. Other factors under consideration is that the proposed scheme has high delivery ratio, low forwarding ratio, low overhead and low end-to-end delay for a broadcast operation under a high transmission error rate. Among the 1-hop neighbours of the sender, only selected forwarding nodes retransmit the broadcasting the message. Forwarding nodes are selected in such a way that 1) the sender’s 2-hop neighbours are covered and 2) the sender’s 1-hop neighbours are either forwarding nodes or nonforwarding nodes covered by at least two forwarding neighbours. The retransmissions of the forwarding nodes are received by the sender as the confirmation of their reception of the packet. The nonforwarding 1-hop neighbours of the sender do not acknowledge the reception of the broadcast. If the sender does not detect all its forwarding nodes’ retransmissions, it will resend the packet until the maximum number of retries is reached.
An Efficient Mobile Authentication Protocol for Wireless Communications Using Rabin PublicKey Cryptosystem
Authors: Karthiyayini  , Karthikeyan
Published: June 2023

The past few years have witnessed an explosive growth in the use of mobile devices as the enabling technology for accessing Internet based services, as well as for personal communication needs in networking environments. Most studies indicate that it is impossible to utilize strong cryptographic functions for implementing security protocols on mobile devices. Our work refutes this. Specifically, we present a performance analysis focused on the most commonly used cryptographic protocols for mobile applications and we proposed provably secure authentication protocol that is more efficient than any of the existing authentication protocol in the literature. The increasing progress in wireless mobile communication has attracted an important amount of attention on the security issue. To provide secure communication for mobile devices, authenticated protocol is an important primitive for establishing trusted connection. In this work, we focus on an important constraint of such devices – battery life – and examine how it is impacted by the use of security protocols. We believe such investigations to be an important first step toward addressing the challenges of energy-efficient security for battery-constrained systems. Our result shows that proposed authentication protocol provides a better security guarantee and incurs much less energy consumption than the existing authentication protocols. Finally, performance analysis will show that compared with existing authentication protocols, our proposed scheme is to be more simple, secure and efficient.
Secure Authentication Scheme with User Privacy for Wireless Network Environment
Authors: Aarthy Meena K.
Published: June 2023

Mobile users enjoy seamless roaming over wireless environment. The wireless network is cumbersome and error prone, thus there is a need for a good and strong authentication scheme which should be designed in such a way that it retains the privacy of the user .It should also be capable of providing minimized communication overhead as most of the exchange of messages in wireless network is found to be the exchange of messages meant for authentication. This results in clumsy environment .The proposed scheme brings out the solution for the above mentioned problems, where the authentication procedure consists of only four messages exchanged between home agent, mobile user and foreign agent. Also the light weight authentication scheme with user anonymity is presented. Apart from that other main issues that are to be solved are prevention of fraud, updating of session key periodically, no need of password verification table and single registration of user to home network. It provides security in protecting the password even if the information is disclosed. The proposed scheme deserves the property of protecting the wireless network from various attacks. And the proposed scheme is simple and user friendly.
Priority Based Polling and Scheduling Algorithm for Intrapiconets in Bluetooth
Authors: Radhakrishnan R. , Lakshmi A.
Published: June 2023

The trend of dynamically interconnecting the personal devices that people carry with them has led to the introduction of personal area networks (PANs) and personal networks (PNs). The Bluetooth wireless access technology is believed to be a potential enabler of PANs and PNs. This dissertation focuses on Bluetooth intrapiconet scheduling (also referred to as Bluetooth polling) that helps in making the Bluetooth technology a successful enabler of PANs and PNs. In order for the Bluetooth technology to be such a successful enabler, its polling mechanism should be efficient. At the same time, the polling mechanism should also be fair. Finally, the polling mechanism must be able to provide quality of service (QoS). Conventional polling mechanisms are less suitable for Bluetooth as they do not take the Bluetooth specification into account. Current Bluetooth polling mechanisms are either not able to poll in a fair and efficient manner, or they do not provide the needed QoS. The main goal of this thesis is the design of new Bluetooth polling mechanisms. To design a polling mechanism that, in case of best effort traffic, divides bandwidth among the slaves in a fair and efficient manner. To design a polling mechanism that is able to provide quality of service. These polling mechanisms help in making the Bluetooth technology a successful enabler of personal area networks, and thus of personal networks. In this research focuses on Bluetooth intra-piconet Scheduling and Reduce the time delay. It provide a better opportunity to communicate in a PAN. In this research we use Adaptive Probability-based Polling Interval (APPI) in sniff based polling mechanisms
Epileptic Seizure Detection Using Discrete Wavelet Transform and Support Vector Machines
Authors: Stella Mercy M. , Vijay Anand S.
Published: June 2023

The electroencephalogram (EEG) signal plays an important role in the detection of epilepsy. The EEG recordings of the ambulatory recording systems generate very lengthy data and the detection of the epileptic activity requires a time- consuming analysis of the entire length of the EEG data by an expert. The aim of this work is to develop a new method for automatic detection of EEG patterns using Discrete wavelet Transform (DWT) and Support Vector Machines (SVM). Our method consists of EEG data collection, feature extraction and classification stages. DWT is used for feature extraction in the principle of time – frequency domain analysis. In classification stage we implement SVM to detect epileptic seizure. SVM provides binary classification between preictal/ictal and interictal states. The study is carried out on EEG recordings of two epileptic patients; two classification models are derived from each patient. The models are then tested on the same patient and the other patient, comparing the specificity, sensitivity and accuracy of each of the models. This model provides high sensitivity compare other detection method.
Simple Authentication Technique for Session Management Using Odd and Even Pair of Random Text and Color Password in Cloud Computing
Authors: Kalimuthu P. , Justin Diraviam A.
Published: June 2023

Simple Authentication Technique for Session Management Using Odd and Even Pair of Random Text and Color Password in Cloud Computing
While some legal challenges in cyberspace have started to become clearer, the use of cloud computing and hosted applications adds a new dimension of legal risk. Compliance, privacy, and security problems are compounded by the use of remote, distributed services operated by third parties. Businesses employing these new technologies must look a new at their online risk, and learn how to assess and manage it. Authentication is the first line of defense against compromising confidentiality and integrity. Though traditional login/password based schemes are easy to implement, they have been subjected to several attacks. Textual-based password authentication scheme tends to be more vulnerable to attacks such as shoulder surfing and hidden camera. To overcome the vulnerabilities of traditional methods, visual or graphical password schemes have been developed as possible alternative solutions to text-based password schemes. Because simply adopting graphical password authentication also has some drawbacks, schemes using graphic and text have been developed. In this paper, we propose a hybrid password authentication scheme based on equal number of Random color and text. It uses color and text on the grid as the origin passwords and allows users to login with text passwords via traditional input devices. The method provides strong resistant to hidden-camera and shoulder-surfing. Moreover, the scheme has high scalability and flexibility to enhance the authentication process security. The analysis of the security level of this approach is also discussed.
Performance Analysis and Optimization of Multi-Cloud Compuitng for Loosly Coupled MTC Applications
Authors: Indira K. , Karthikeyan R.
Published: June 2023

Cloud storage enables network online storage where data is stored on multiple virtual servers. In order to carry out huge tasks in cloud environment, single cloud provider is not sufficient to perform the many tasks applications and services. For Handling Intensive task, need to have multi cloud environment to improve the cost-effectiveness of the deployment and increase availability. Larger tasks are carried out by processing of many tasks at a time in a cloud computing environment. In this paper, for efficient handling of multiple tasks, need to have the performance analysis and optimization of all tasks in the multi-cloud environment. Performance analyses consist of CPU scheduling, Memory utilization, I/O tasks, and resource time sharing and cost benefits. Earlier system concentrates on the deployment of multi cloud architecture and multi-processing needs more accuracy, scalability and efficiency. In the methodology, Job allocation by front end server and service LAN are used. This research will achieved the process of multitasking environment in multi cloud infrastructure by having some effective tools for measuring over all performance and optimization of multi cloud computing services.
RMS A Flexible Approach for Fault Tolerant Mechanism in the Grid Environments
Authors: Sivapriya R. , Karthikeyan M.
Published: June 2023

Grid computing is the major research area where the distributed resources are used. In Scheduling, the biggest challenge is to acquire optimum solution for the submitted jobs in the grid. For large subtask require time consuming computation, this paper introduces a new fault recovery mechanism into grid systems and an in depth study on grid service. We propose a new algorithm on considering these factors. In our proposed algorithm Recovery Mutual Scheduling, a catalog is used which will be responsive in accumulation of saving its state periodically. Consequently the overall throughput of a system is increased with the decentralized approach.
A Formal Analysis and Some Properties of Kerberos in Network Security
Authors: Aghila R. , Nagalakshmi K. , Roopan B. S. , Rajakrishnan S. , Anandaraj T.
Published: June 2023

Network is a chain, a weak link in that can break a system. Network plays a vital role in modern computer industry. Making secure network is more important because a lot of confidential transactions are performed over the network. In this world of universal electronic connectivity “Hackers” threaten the prosperity and productivity of individuals and corporations, to prevent that we introduce a new type of security with KERBEROS. This paper deals with networking in a most secured manner. In this advanced Hacking world network security seems to be more important and it plays a vital role in communication over networks. This is made possible by using the KERBEROS, the best way of implementing the network security.
Data Pre-Processing for Classification and Clustering
Authors: Balamurugan S. , Arockia Christopher A. B.
Published: June 2023

In real world datasets, lots of redundant and conflicting data exists. The performance of a classification algorithm in data mining is greatly affected by noisy information (i.e. redundant and conflicting data). These parameters not only increase the cost of mining process, but also degrade the detection performance of the classifiers. They have to be removed to increase the efficiency and accuracy of the classifiers. This process is called as the tuning of the dataset. The redundancy check will be performed on the original dataset and the resultant is to be preserved. This resultant dataset is to be then checked for conflicting data and if they will be corrected and updated to the original dataset. This updated dataset is to be then classified using a variety of classifiers like Multilayer perceptron, SVM, Decision stump, Kstar, LWL, Rep tree, Decision table, ID3, J48 and NaÃ¯ve Bayes. The performance of the updated datasets on these classifiers is to be found. The results will show a significant improvement in the classification accuracy when redundancy and conflicts are to be removed. The conflicts after correction are to be updated to the original dataset, and when the performance of the classifier is to be evaluated, great improvement is to be witnessed.
Service Selection Using Non-Functional Properties in MANETs
Authors: Ponmozhi K. , Rajesh R. S.
Published: June 2023

Mobile ad hoc networks are the ones which allow mobile nodes to spontaneously form a network and share theirservices. The dynamic environment of MANETs demands service selection should not only based on functional properties but also be driven by non-functional requirements. In this paper we present a modelling method of Non-Functional properties.The degree of impact of the property on QoS may vary. So, we allow the application designer to define weight for each property. The evaluation function for the properties cannot be uniform as the type of the property may be Boolean, string or numeric depending upon the nature of the property. Three different evaluation functions based on the type of the property have been defined. The sum of the weighted metrics is used to select theservices.
Cloud Computing and Green Computing Challenges & Issues in Indian Perspective
Authors: Paul Prantosh Kr. , Chatterjee Dipak
Published: June 2023

Cloud computing and green computing are actually complimentary to each other. Both of these advance computing gradients have important role for technological advancement and transformation. Cloud computing is a kind of network grid in which network and communication technology play an important role for complete virtualization of information technological infrastructure. On the other hand green computing is nothing but reusing of information technological product. In green computing recycling can play an important role. Cloud computing and virtualization is an important method of green computing, which make less use of computers, products and energy. In this paper both cloud computing and green computing are described with special reference to their need and value in today’s competitive world. We also discuss the main challenges and issues of these technologies in Indian scenario
Text-based Steganography Using Cover Text Free Human-Generated Natural Language (HGNL) Approach
Authors: Thamaraiselvan R. , Saradha A.
Published: June 2023

A common pitfall of existing encryption procedures using lexical (text-based) steganography is the fact that the encrypted text may be recognized as such by someone who intercepts it. We introduce a new procedure which combines an automated algorithm with human input. The resulting texts are novel and therefore not searchable or otherwise easily recognized as encoding a hidden message
Fibonacci Based Chunks Distribution (FBCD) Scheme For Efficient P2P Interactive VOD Streaming
Authors: Arun M. , Vaishnavi P.
Published: June 2023

One of the problems faced frequently by users in Video-on-Demand (VoD) streaming is long waiting time for voice and video files to load. This paper focuses on Fibonacci Based Chunks Distribution (FBCD) scheme to efficiently handle interactive VoD operations in peer-to-peer systems. In FBCD, videos are divided into number of chunks and stored at peers’ local storage in a distributed manner. The chunk size is progressively increased to reduce delay and improve performance. The appropriate performance aspects are analyzed with respect to both user-responsiveness and provider system efficiency. In most existing methods, a new client must search for parent peers containing specific segments. However, FBCD uses the properties of middleware server to cache equivalent chunk in peers. A peer can discover and access a neighbor quickly through the middleware. So the client can pick any server without additional searches, since the middleware can monitor the distribution of server loads and client request. This eliminates direct communication between Client and server and therefore Server offline problems are also managed effectively. The proposed scheme achieves quick video display to the end user without any delay and requires fewer server resources for data storage.
An Application of Artificial Neural Network (ANN) Facilitate Candidate for Carrier Opportunities & Guidance
Authors: Gohil Artidevi I.
Published: June 2023

This article describes design for an Artificial Neural Network (ANN) based decision support system. The system supports beneficiaries to select suitable stream (Science, Arts, and Commerce) after 10th standard. It is very important decision in everybody’s life, when we decide our stream. An example set of 9 input parameters and 3 outputs are illustrated in this paper. As the ordinary fuzzy set does not capture uncertainty particularly dealing with vagueness and ambiguity in complex system, type-2 fuzzy sets are used. The discussion includes introduction to ANN and type-2 fuzzy set along with application.
Comparative Analysis and Interpretation of Various Short Range Wireless Technologies
Authors: Katare Vivek N. , Dahikar Pradeep B.
Published: June 2023

With the development of more powerful sensors compared with traditional data sensors, in this paper the short range wireless sensors and modules like UWB and others are elaborated and analyzed, by which we could interpret the comparative discriminations between various wireless technologies adopted by the industry for the wireless communication. On the basis of this analysis, it is suggested that which wireless technology should be better to use for the industry and home automation networking and data communication purpose.
Sequential Pattern Mining Using Algorithm
Authors: Patil Kirti S. , Patil Sandip S.
Published: June 2023

The concept of Sequential Pattern Mining was first introduced by Rakesh Agrawal and Ramakrishnan Srikant in the year 1995. Sequential Patterns are used to discover sequential sub-sequences among large amount of sequential data. In web usage mining, sequential patterns are exploited to find sequential navigation patterns that appear in users’ sessions sequentially. The information obtained from sequential pattern mining can be used in marketing, medical records, sales analysis, and so on. In this paper, a new algorithm is proposed; it combines the Apriori algorithm and FP-tree structure which proposed in FP-growth algorithm. The advantage of proposed algorithm is that it dosen’t need to generate conditional pattern bases and sub-conditional pattern tree recursively. And the results of the experiments show that it works faster than Apriori.
Usability Engineering: Wonderful Mechanism for Transparent Information Transfer Cycle (ITC)
Authors: Pau Prantosh Kumar , Chatterjee Dipak , Shivraj K. S.
Published: June 2023

Usability Engineering is an application of Usability principle and mechanism in the field of user interface. Usability Engineering is an area which is concerned with human computer interaction useful in interactive user interface design. In usability engineering apart from engineering and Web Technology principle, psychology and cognitive science play an important role. Here in this paper various aspects of usability engineering particularly its advantages, contemporary needs are described. This article also mentions the methods, tools as well as its standards which are applicable in the field of Usability Engineering. Usability Engineering and its importance in information transfer cycle are also described with contemporary challenges and issues.
Informatics: From its Evolution to Contemporary Scenario and Areas with Special Reference to Proposed Term & Area ‘Cloud Informatics’
Authors: Paul Prantosh Kumar , Chatterjee Dipak , Shivraj K. S.
Published: June 2023

Informatics is today treated as one of the important term in the field of information & computing. Informatics was earlier considered as working and practice area of information or documentation. In between 1970-1980’s informatics emerged as one of the important subject or academic area in most of the western countries like – USA and UK first used informatics as alternative of the term Documentation. European countries and soviet countries were preferred this term than that of Information Science. This paper describes about Informatics, its need and role in the contemporary market, its various division and sub field. We also discuss about emerging Informatics field. A new proposed field also describe at the last as ‘Cloud Informatics’. We discuss the combination of cloud computing and informatics as Cloud Informatics, its role, nature, value, role and some other facet. Informatics as an academic field in India very rare, we discuss the running programmes of informatics emphasizing proposed possible university level programmes of Cloud Informatics.
Effective and Adaptive Fingerprint Image Matching Using Contextual Filters
Authors: Madhansubramanian  , Tamilarasi M.
Published: June 2023

This proposed method deals with several improvements to an adaptive fingerprint enhancement that is based on contextual filtering. The name adaptive denotes that the parameters are automatically adjusted based on the fingerprint image that is given as input. Five processing blocks are used in the adaptive fingerprint enhancement method. In the proposed system the four of these blocks are updated and this method is a novel. In this processing method the updated blocks are global analysis, matched filtering, local analysis and preprocessing. In the preprocessing and local analysis blocks the method simply used here are nonlinear dynamic range adjustment. Second, the process applies one or more forms of order statistical filters to the global analysis and matched filtering blocks. From this proposed method, these blocks produce a new improved adaptive fingerprint image processing techniques. These novel algorithm is appraised toward the NIST developed NBIS software for image recognition that is based on FVC databases.
Implementation of Soft Computing for the Betterment of Health Using Traditional Medicinal Methods
Authors: Mukesh Kumar S. , Sheela Rani S.
Published: June 2023

We present a technology to reduce blood pressure using machine intelligence and electro-acupuncture. The pulse of is detected using a sensor mounted on a wrist band. The sensors monitors the pulse of the person and are measured using the genetic algorithm (GA) and fuzzy filter is used for noise reduction. Extracted features are processed to classify the states as “relaxed” and “stress”. If the person is found to have high blood pressure Electro-acupuncture is used to overcome it. Electro-acupuncture is similar traditional Chinese method of acupuncture and uses the same acupuncture points, but it does not use needles.
Performance Analysis of AODV and OLSR Using OPNET
Authors: Singh Jagdeep , Mahajan Rajiv
Published: June 2023

A mobile ad-hoc network (MANET) is a selfconfiguring infrastructure less network of mobile devices connected by wireless links. Each device in a MANET is free to move randomly in any direction and will therefore change its links to other devices rapidly and unpredictably. Mobile devices can communicate with each other without the use of a predefined infrastructure or centralized administration. In this paper routing protocols AODV and OLSR for mobile ad hoc network are compared on the basis of delay, network load and throughput. This comparative study shows that OLSR out performs the rest of three protocols in terms of network load and throughput.
FFT/IFFT Processor for Ultra Wide Band Application
Authors: Radhika R.
Published: June 2023

In this paper, a novel 128-Point FFT/IFFT processor for OFDM-based UWB system has been proposed. In proposed MRMDF (Mixed Radix Multipath Delayed Feedback) architecture, high throughput rate can be achieved by using four data paths. Furthermore, the hardware costs of memory and complex multiplier can be saved by adopting delay feedback and data scheduling approaches. In addition, the number of complex multiplications is reduced effectively by using a higher radix algorithm. The measurement results show that the throughput rate of this test chip is up to 1Gsample/s while it dissipates 175mW. When the throughput rate of our processor meets UWB standard, it only consumes 77.6 mW and multiplexers. The features of the proposed MRMDF architecture are the following:• Higher throughput rate can be provided by using four parallel data paths;• The minimum memory is required by using the delay feedback approach to reorder the input data and the intermediate results of each module.• The 128-point mixed-radix FFT/IFFT algorithm is implemented to power consumption.• The number of complex multiplier is minimized by using the scheduling scheme and the specified constant multipliers.
Approximate String Search for Retrieving Errorious Data in Spatial Database
Authors: Sudha P. , Kumaresan A. , Nandhakumar G.
Published: June 2023

This work deals with approximate string search in large spatial database. Specifically focus on selectivity estimation for RSAS query in road networks. Selectivity estimation in road network is a union of string selectivity and spatial point selectivity. In this paper we propose a novel adaptive selection method, which is based on grouping technique. String selectivity is achieved by using q-grams and min-wise signature of strings. String similarity is measured by using edit distance metric technique, which is used to calculate threshold value between strings. Spatial point selected by using grouping technique called greedy algorithm. Space complexity of grouping method is based on neighborhood nodes. Effectiveness of this approach is high, when applying in large database.
An Implementation of Tree Pattern Matching Algorithms for Enhancement of Query Processing Operations in Large XML Trees
Authors: Murugesan N. , Santhosh R.
Published: June 2023

Now-a-days XML has become a defacto standard for storing, sharing and exchanging the information across the various domains. Interoperability is achieved using XML. Due to the increasing popularity of XML enterprises are generating and exchanging the data across the various domains. This paper presents a wide analysis to identify the efficiency of XML Tree pattern matching algorithms. Previous years many methods have been proposed to match XML Tree queries efficiently. In particularly TwigStack , OrderedTJ, TJFast and TreeMatch algorithms. All algorithms to achieve something through these own ways like structural relationship including Parent-Child (P-C) relationship (denoted as ‘/’) and Ancestor-Descendant (AD) relationships (denoted as ‘//’) and more. Finally, we report our results to show that which algorithm is superior to previous approaches in terms of the performance.
Adaptive Load Sensing and Rebalancing for Distributed File System in Cloud Environment
Authors: Nithya Poojaiah B. , Suryabahadur
Published: June 2023

Large scale distributed systems such as cloud computing applications are becoming very common. These applications come with increasing challenges on how to transfer and where to store and compute data. This system presents an innovative idea in cloud computing. In a giant cloud we are able to add thousands of nodes together. The main aim is to allot files to those nodes while not creating significant load to any of the nodes, for that files square measure partitioned off into completely different modules. Another objective is to cut back the network inconsistencies and network traffic attributable to the unbalancing of hundreds. The reduction of network inconsistency can result in maximization of network information measure in order that so many numerous such a big amount of, such a giant amount of, such a lot of large applications will run in it. Because of ability to quantify property, we are able to add, delete, update new nodes in order that it supports heterogeneousness of the system. To enhance the potential of nodes we tend to use Distributed fi le system in Cloud Computing Applications.