bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quick certification cellular phone ip contrasted to ranked cellular phone ip
Authors: Madhava Rao M , Gopala Krishna J S V 
Published: June 2019

Abstract
Cellular phone IP represents the essential Transportability administration protocol to backing the Transportability in IP-based machines. Although, Cellular phone IP isn’t capable for quarantine sensitive Applications. The Quick Certification Cellular phone IP protocol (QICA) is usually recommended to dodge the problems of Cellular phone IP and to contest the necessities of time period Applications. So, QICA doesn’t want hierarchic specification as is that the container with best mini Transportability administration protocols, e.g. Rank Cellular phone IP (RCIP). A study show that QICA accomplish kind of like RCIP though the Cellular Nodule (CN) shift inside a site reside of 2 hierarchic slabs solely and surpass RCIP Rather. During the one paper we have a tendency to evolve a close exemplary to examine QICA and distinction it to RCIP. Our subject targets a distinction of the signal price of the 2 protocols. Our study displays that QICA plainly surpass RCIP with honor to the bundle cargo value. What is more, the region amend value though increasing QICA is commensurate to the region amend price exploitation RCIP. Therefore QICA is bigger productive than RCIP with honor to the entire signal price.
A novel approach to compress dna repetative sequences in bio-informatics
Authors: Chowdary S M B , Kumar Samparthi V S , Nedunuri Deepak , Gupta Vmnssvkr 
Published: June 2019

Abstract
In recent days numbers of gigabyte sequences of nucleotides are stored in a common database Genbank. All the victimization Deoxyribonucleic acid sequences for biological functions are to store the large number of Genomes in a compressed type in economically. Despite the fact that Deoxyribonucleic corrosive arrangements are put away in a packed kind, the information on Deoxyribonucleic corrosive groupings square measure hang on in science databases. For a four-letter alphabet in DNA (Adenine(A), Cytosine(C), Guanine(G) and Thymine(T)), an average description length of 2 bits per base is that the max length required to encode DNA. To reexamine the previous art of compression techniques and its merits and de merits, a novel attempt is initiated. Based on the comparative study of existing algorithms a new method proposed for DNA compression without depending on statistics of sequence set.
RETRACTED: An enhanced approach for object detection using wavelet based neural network
Authors: Krishnaveni G , Lalitha Bhavani B , Vijaya Lakshmi N V S K 
Published: June 2019

Abstract
Object recognition indicates colossal increment in the field of picture investigation. The required arrangement of picture objects are recognized and recovered based on object recognition. The procedure associated with Object recognition incorporates division, arrangement, and gathering of articles that can be connected in different designing and logical teaches, for example, science, drug, advertising, brain science, man-made consciousness, PC vision, and remote detecting. A large portion of the ongoing plans in picture investigation confront certain bad marks particularly in protest acknowledgment exactness. Indeed, even in Object recognition, the off base order concerns flawed protest extraction. One of the fundamental detriments in existing methods to picture grouping is that immense measure of information needs in learning plans which is a tedious procedure because of the human time and endeavors. In this way, a novel proposition is expected to successfully separate the state of the protest with appropriate characterization procedure. The topological course of action of the WNN contains the concealed neutrons in the wavelet layer with various goals. Wavelet Neural Network idea is utilized for picture handling which is by all accounts exceptionally productive. WNN structure offers the parallel handling of pictures and preparing process makes the system appropriate for the different sort of picture handling. In this work, a novel characterization system called Affluence based Image Classification (AIC) is proposed utilizing a wavelet neural system.
A comparative performance analysis of different machine learning techniques
Authors: lalithabhavani B , krishnaveni G , Malathi J 
Published: June 2019

AbstractOver the past many decades, Machine Learning (ML) has advanced from the undertaking of few PC fans misusing the likelihood of PCs figuring out how to play diversions, and a piece of Mathematics (Statistics) that only here and there measured computational methodologies, to an autonomous research obedience that has not just given the essential base to measurable computational standards of learning systems, yet in addition has created different calculations that are routinely utilized for content translation, design acknowledgment, and a numerous other business purposes and has prompted a different research enthusiasm for information mining to recognize shrouded regularities or abnormalities in social information that developing by second. This paper centers around clarifying the idea and development of Machine Learning, a portion of the well known Machine Learning calculations and endeavor to think about three most prevalent calculations dependent on some essential thoughts. Sentiment140dataset was utilized and execution of every calculation as far as preparing time, forecast time and precision of expectation have been reported and analyzed.
Deep learning: a branch of machine learning
Authors: Rajendra Kumar P , Manash E B K 
Published: June 2019

Abstract
Deep learning is a rising territory of machine learning (ML) inquire about. It includes different shrouded layers of artificial neural systems. Deep learning (DL) is a part of machine learning dependent on an arrangement of algorithm that aim to show abnormal state reflections in information. It is utilized by Google in its voice and picture recognition algorithm, by Netflix and Amazon to choose what you need to watch or purchase straightaway, and by specialists at MIT to anticipate what’s to come. Deep Learning is utilized in different fields for accomplishing various levels of deliberation like sound, content, pictures highlight extraction and so forth. The Deep learning philosophy applies nonlinear changes and model reflections of abnormal state in extensive databases. With Deep learning capacity to make forecasts and groupings taking the upside of huge information, it can be a creative answer for issues and issues that have been never thought to be understood in such a simple way. Then again, it makes numerous difficulties on the researchers who are trying to convey such another methodology. The accompanying survey sequentially shows how and in what real applications deep learning algorithms have been used. We have completed a broad writing survey and reviewed the utilization of deep learning in different fields.
Extensive data set analysis & prediction using R
Authors: Grandhe Padmaja , Damarla Vishnu Priya , Mohammad Shaziya 
Published: June 2019

Abstract
Large volumes of data now available in online by several applications. Predictions about future events are difficult in case of Big data. Several applications where these predictions are required are Predicting conformation of waiting list seats in Railway reservations, prediction of some diseases based on health conditions of humans and prediction of students Grades in examination. In the sectors of medical, Railways, airlines and APSRTC fields predictive analysis is useful for taking prevention measures and for future planning. Predictive analytics is a process that comes under the data analysis. Using R we can predict Large data sets in faster manner. This paper predicts the survival of the passengers based on few factors. By considering Titanic data set analysis is performed. Based on the factors gender, class, and age survival of passengers is predicted. Decision Tree and random forest algorithms are used for prediction and for comparing the test data with trained data set.
A Real Time Approach for Detecting Mobile Malicious WebPages
Authors: Deepika S. , Mounika P. 
Published: June 2019

Abstract
Transportable specific web page pages comparison altogether from their work place partners in substance, format and usefulness. Likewise, current processes to apprehend malevolent websites are possibly no longer going to work for such pages. In this paper, we structure and actualize kayo, a machine that acknowledges pernicious and amiable portable webpage. we makes this warranty dependent on static highlights of a website web page going from the amount of iframes to the nearness of found out deceitful Smartphone numbers. Within the first vicinity, we tentatively display the requirement for transportable express structures and in a while recognize a scope of recent static highlights that profoundly relate with flexible malignant WebPages. We then observe to a dataset of extra than 350,000 known favorable and noxious versatile web page pages and showcase 90% precision in characterization. Additionally, we find, describe and document numerous internet site pages missed through Google secure browsing and virus general subsequently, we construct a application augmentation utilizing to defend clients from pernicious flexible web sites steadily. In doing as such, we give the primary static investigation strategy to differentiate malevolent transportable pages.
Big Data Analytics for Popularity Prediction
Authors: Vishnu Murthy G , SwathiReddy M , Balakrishna G 
Published: June 2019

Abstract
In this paper examines the prescient intensity of huge social knowledge in terms of offline and on-line behavior. We have a tendency to address the analysis question of however massive social knowledge from Facebook will anticipate the measure of watchers and TV evaluations inside the instance of the Danish National soccer Association (DBU). The correct and timely prediction of the recognition of programs is of nice worth to content suppliers, advertisers, and television stations. This data is also of profit to operators within the purchase call of TV programs and facilitate advertisers to formulate applicable advertising investment plans. Technically, an explicit program population prediction methodology enhance thecomplete telecast system, like the Content Delivery Network (CDN) methodology and in this way the store technique. Many predictive models supported YouKu, YouTube, and Twitter VOD knowledge are planned.In my planned system, a distance-based k-medoids formula (DTW = Dynamic Time Warping) is employed, that is applied to cluster programs and represents the evolution of recognition in trends. after, the trend-specific predictive models are created severally exploitation Random Forest Regression (RF). Consistent with the info sets removed from AN electronic program direct (EPG) and early survey conventions, freshly printed programs are classified into trends by a gradient enhancing call tree. By consolidating prescient qualities from pattern particular models and in this way the arrangement possibility, the arranged methodology accomplishes higher prescient outcomes.
Protected and Flexible Multi-Keyword Score Search model over Encoded Cloud Data
Authors: Avinash P. , Mohanram K. , Rajasekhar K. , Naik Devendra 
Published: June 2019

Abstract
Disbursed computing is contemporary innovation as any other processing model in wide variety of business organization areas. Expansive portions of sizeable scale divisions are startingto pass the information on to the cloud situation. With the benefit of functionality as an management numerous undertakings are shifting their worthwhile facts to the cloud, since it costs much less, correctly adaptable and may be gotten to from anywhere on every occasion. advanced dynamic multi-watchword positioning inquiry plot with fine key by the use of encoded cloud records that all the whilst underpins dynamic refresh responsibilities as erasing and embeddings information. eager profundity first experiment calculation is accommodated effectiveness multi catchphrases on spot and listing shape. Cryptography is one of the building up believe fashions. on hand protection is a cryptographic technique to provide protection. In variety of scientists have been taking a shot at growing protection and effective on hand encryptiontypes. We take new possible cryptographic techniques relying on statistics structures like CRSA and BTree to improve the size of safety. We advise new multi-watchword are in search of for inquiry over encoded cloud records in recovering nice okay scored files.The vector area model and TFIDF display are applied to carry collectively document and question age. This paper facilities spherical multi catchphrase are looking for dependent on positioning over an encoded cloud facts. The pursuit utilizes the element of evaluation and internal item closeness coordinating. We advocate to assist the super ok Multi-full-content material search for safety and execution examination show off that the proposed model guarantees a immoderate health and not unusual sense and dynamic refresh activities, for example, erasing and such as files. The exploratory results show that the overhead in calculation and correspondence is low.
Li-Fi Technology: High data transmission securely
Authors: Hussein Yaseein Soubhi , Annan Amresh Chetty 
Published: June 2019

Abstract
Visible light communication (VLC) is an optical wireless communication method which transmits data through the medium of light within the visible light spectrum. The bidirectional communication through the light is called light fidelity Li-Fi. The infrastructure of such technology is already available where the light can be used for illumination and communication simultaneously. In the paper, we discuss the usage of VLC applied as Li-Fi as a secure method to transmit data wirelessly in a more secure method compared to the traditional Wi-Fi architecture. In addition, we investigate the bit-error rate (BER) performance in the VLC network based on the modulation format of Orthogonal Frequency-Division Multiplexing (OFDM) for high data transmission.
Theorizing communicative styles on social media: an etymological shift
Authors: Ramachandiran Chandra Reka , Mahmud Malissa Maria 
Published: June 2019

Abstract
Distinct polarities of gender stereotypes ascertain that communicative styles demonstrated by men and women are fundamentally disparate. Numerous researches have established varying communicative styles and methods involved in interpersonal communication, predominantly in the analysis of conversational styles as well as etymological strategies. Nevertheless, the widespread of social media has contributed to a pivotal, fascinating shift in the utilization of lexes, encompassing less conventional gender-based articulacy and distinctness amongst youths within virtual setting. Drawing on the data from disseminated survey and purposive observations on sampled Twitter accounts, this study probed on the correlation between gender stereotypes, communicative styles and linguistic features, manifesting the aggressive, assertive, passive-aggressive and passive traits which are associated with gender-based, stereotypical communicative styles. The findings yielded dominating percentages of males against females in which males possess and exhibit all four traits of communicative styles whereas the observations revealed that both genders demonstrate passive-aggressive and assertive traits.
A compact reconfigurable slotted microstrip patch antenna using pin diode for wireless applications
Authors: Oumar Khalid Moussa , Shyan Lai Nai 
Published: June 2019

Abstract
A compacted (44 x 44 x 3.2 mm3) frequency reconfigurable microstrip antenna that uses electrical switching with PIN diodes is proposed for WiMAX (3500 MHz- 3910 MHz) and high frequency LTE (3500 MHz and 2600 MHz) band. The rectangular microstrip patch was at first designed to operate at the frequency of 3500 MHz as a central frequency and then reconfigured using two electrical PIN diodes placed symmetrically on slot etched at the end of the patch surface to cover further desired frequency applications. For state 1 (S1 = ON, S2 = ON), the designed antenna operates solely 3500 MHz suitable for both domestic LTE and WiMAX. For state 2 (S1 = OFF, S2 = OFF), the antenna covers further 2600 MHz for LTE and (3850 MHz – 3910 MHz) for WiMAX. The proposed antenna is designed and simulated using HFSS licensed software. Simulation results show the max gain produced by the antenna is 7.4 dBi with a radiation efficiency of 98% and a maximum bandwidth of 180 MHz.
Fuzzy chromatic number of a wheel graph
Authors: Jasin Glanta P J , Sobha K R 
Published: June 2019

Abstract
Fuzzy graphs have many more applications in modelling real time systems where the level of information inherent in the system varies with different levels of precision. Colouring of graphs is a most important concept in which we partition the vertex (edge) set of any associated graph so that adjacent vertices (edges) belong to different sets of the partition. In this paper we introduce k-Fuzzy total colouring of a wheel graph.
A State-of-the-Art Review of Flood Risk Assessment in Urban Area
Authors: Herath HMM , Wijesekera NTS 
Published: June 2019

Abstract
Flood risk management has become more significant in the face of rapid urban development and the climate change. Many governments and the decision makers have recognized the requirement of resilient flood management policies and strategies for sustainable urban development. During the recent decades, various conceptual framework of flood risk assessment and management emerged and they in turn questioned the characterization of resilience in flood risk management. More recently, research on flood risk management and spatial planning have demonstrated a common discussion platform appreciating the concept of flood resilience in policy and strategy making. However, assessment and operationalization of flood resilience is often questionable due to its conceptual vagueness. The present work is a review of the plurality views of flood resilience. Resilience thinking has moved the focus of flood risk assessment towards vulnerability. Flood resilience embeds the incorporation of spatially distributed land use policies and regulations which are a must for the management of flood vulnerability. Spatial planning reflecting flood resilience becomes vital when managing the uncertainty incorporated with flood risk management. However, the operationalization and legitimacy of the importance of the combined role of spatial planning and flood risk management with stakeholder acceptance still remains implicit and weak.
Stem and root system response of a Norway spruce tree (Picea abies L.) under static loading
Authors: Sagi Padma , Newson Tim , Miller Craig , Mitchell Stephen 
Published: June 2019

AbstractThe mechanical response of a well-instrumented Norway spruce (Picea abies L.) tree under controlled winch loading was monitored. The main aims of this study were to understand the tree-root-soil response to lateral pull loads, to examine the applicability of simple engineering principles to the tree-root-soil response and to introduce a soil component into the tree stability analysis. The stem response was recorded with tilt sensors at three different heights; two sensors at each height tracked the response in transverse directions. These data were used to derive deflection and bending moment profiles of the stem for different lateral loads. A root on the windward side and one on the leeward side were instrumented using strain gauges. The tree was winched to failure and the data were collected from the strain gauges during winching. Using the data obtained from strain gauges on the roots, strain, bending moment, shear force and deflection profiles the roots with increasing load were calculated. Using the soil reaction force-deflection profiles of the roots, equivalent spring stiffness constants were determined. An estimate of the anchorage strength and moment–rotation relationship was made using a simple characteristic curve equation normalized by the failure moment and rotation that can be modified for different soil conditions.
Superior Aerobic Capacity and Indices of Skeletal Muscle Morphology in Chronically Trained Master Endurance Athletes Compared With Untrained Older Adults
Authors: McKendry James , Joanisse Sophie , Baig Shanat , Liu Boyang , Parise Gianni , Greig Carolyn A , Breen Leigh 
Published: June 2019

AbstractThe study aim was to comprehensively assess physiological function and muscle morphology in chronically trained older individuals against untrained young and older individuals. In a cross-sectional design, 15 young untrained controls (YC) (20 ± 2.7 years, 78.9 ± 13.3 kg), 12 untrained older controls (OC) (69.8 ± 4.1 years, 77.5 ± 14.2 kg), and 14 endurance-trained master athletes (MA) (67.1 ± 4.1 years, 68.7 ± 6.5 kg) underwent assessments of body composition, aerobic capacity, strength, muscle architecture, and fiber-type morphology. Skeletal muscle index was lower and body fat greater in OC versus MA. Estimated VO2max (mL·kg−1·minute−1) was similar between MA and YC, but lower in OC. Isometric leg strength normalized to fat-free mass was similar between groups, whereas normalized isometric arm strength was greater in YC than MA. Myosin heavy chain (MHC) I fiber area was greater in MA than OC, while MHC II fiber area was greater in YC than OC. MHC II fiber myonuclear domain size was greater in YC than OC and MA, whereas MA had greater MHC I and MHC II fiber capillarization than OC and YC. Satellite cell content was similar between groups. Chronic endurance training enhances indices of muscle morphology and improves body composition and aerobic capacity in older age, with potentially important implications for healthspan extension.
3D-CFD analysis of the effect of cooling via minitubes on the performance of a three-fluid combined membrane contactor
Authors: Afrasiabian Ehsan , Iliev Oleg , Shklyar Inga , Prill Torben , Isetti Carlo , Lazzari Stefano 
Published: June 2019

Abstract
A 3D computational fluid dynamics model was adopted to study the effects of internal cooling on the performance of a three-fluid combined membrane contactor (3F-CMC), in the presence of minitubes in solution and a spacer in the air channel. This compact 3F-CMC is part of a hybrid climate-control system, recently developed for serving in electric vehicles. For the studied operating conditions, results show that the absorption and sensible effectiveness parameters increase up to 77% and 124% by internal cooling, respectively. This study also reports 3D flow effects on the heat and mass transfer enhancement inside the contactor, with implications for further design improvements.
Repertoire and Neutralizing Activity of Antibodies Against Hepatitis C Virus E2 Peptide in Patients With Spontaneous Resolution of Hepatitis C
Authors: Olbrich Anne , Wardemann Hedda , Böhm Stephan , Rother Karen , Colpitts Che C , Wrensch Florian , Baumert Thomas F , Berg Thomas , Benckert Julia 
Published: June 2019

AbstractNeutralizing antibodies can prevent hepatitis C virus (HCV) infection, one of the leading causes of cirrhosis and liver cancer. Here, we characterized the immunoglobulin repertoire of memory B-cell antibodies against a linear epitope in the central front layer of the HCV envelope (E2; amino acids 483–499) in patients who were infected in a single-source outbreak. A reverse transcription polymerase chain reaction–based immunoglobulin gene cloning and recombinant expression approach was used to express monoclonal antibodies from HCV E2 peptide–binding immunoglobulin G–positive memory B cells. We identified highly mutated antibodies with a neutralizing effect in vitro against different genotype isolates sharing similar gene features. Our data confirm the importance of VH1–69 use for neutralizing activity. The data offer a promising basis for vaccine research and the use of anti-E2 antibodies as a means of passive immunization.