Miracle-dz/UniFAR-FTUs huggingface dataset:
AntiRootkit FrameWork-Monitoring Virtual Machines in Cloud

: In distributed computing, the virtual machines (VMs) security is provided by present tools. To screen and guarantee their runtime security is by all accounts a non-trifling test. In Practical cloud framework, security and execution are two main issues. To overcome this issues the dynamic framework which is Antirootkit, is designed to identify bit rootkits and ensure the real time security of visitor VMs. This Proposed system, which empowers dynamic asset arrangement and live position for VM conditions. The primary strategy is a virtual machine screen based asset arrangement component, which can limit the asset use with given execution ensure. Our virtual machine screen based asset arrangement component has been assessed by leading thorough investigations in light of Snort in a genuine VM condition. The outcomes demonstrate that the proposed component can dispense assets for a rootkit distinguishing proof on request while as yet fulfilling its execution prerequisites. Antirootkit cautions when arrange framework segments come up short and recoup, furnishing chairmen with notice of essential occasions. Alarms can be conveyed by means of script.
SELF COMPASSION AND MENTAL HEALTH: A STUDY ON YOUNG ADULTS

This preliminary study examined the relationship be tween self-compassion and mental health in universi ty going 80 adult students (30) female and (50) male. The se lf-report measures of self compassion and mental he th were administered among the participants for data. Pears on’s product method and t-test were used to find th e results. The result indicates that students’ ability to kindly accept o neself while suffering is significantly associated with mental health. The research findings, conclusion and future sugges tions are discussed.
A novel algorithm for sarima model fitting: modelling pound-euro exchange rates as case study

Many economic and business time series exhibit seasonal tendencies. Analytical techniques for such series which take into account these tendencies have engaged the attention of researchers of recent. One such modelling technique is the BoxJenkins seasonal autoregressive integrated moving average (SARIMA) technique. A novel algorithm is hereby proposed. This algorithm which is based on autoregressive-moving average duality arguments is applied to model daily exchange rates of the British pound sterling and the European Euro currencies. The data analyzed are 178 daily pound/euro exchange rates 13 th December 2015 to 7 th June 2016. Application of the algorithm using the SARIMA(1,1,1)x(1,1,1)7 template as proposed yields a SARIMA(1,1,1)x(0,1,1)7 model. Further 8 values from 8 th June to 15 th June 2016 are used for out-of-sample comparison of observations with forecasts. The adequacy of the chosen model is not in doubt since the residuals are uncorrelated and are normally distributed. Moreover out-of-sample forecasts closely agree with the observed values. This additive-multiplicative model may be used for forecasting and simulation purposes.
Heat Transfer Augmentation by using Metallic Nanoparticles at Different Concentrations in a Counter Flow Heat Exchanger

Heat exchangers are essential devices for almost all industrial and automobile applications. In this paper, the heat transfer and pressure drop characteristics of the pure water and the water mixed with copper oxide, Iron oxide and aluminum oxide with different mass concentration based nanofluid flowing in a horizontal circular pipe under constant heat flux condition are studied. The nanofluids are made in three different mass concentrations i.e. 0.5%, 1.0%, 1.5 % and 2%. The results show that the thermal conductivity is increases with increasing temperature and mass concentration. Keywords--Nanofluid, Heat Transfer Characteristics, Double Pipe Heat Exchanger, mass concentration percentage, pressure drop, Nomenclature m Mass flow rate (kg/s) Q Heat transfer rate (W) L Length of the test section (m) F Friction factor Dimensionless u Mean velocity of the fluid (m/s) Ui Overall heat transfer coefficient based on inner surface area (W/m.K) Di Internal diameter of the pipe (m) Ai Inner surface area of test section (m) T1 Inlet temperature of hot fluid (K) T2 Outlet temperature of hot fluid (K) T3 Inlet temperature of cold fluid (K) T4 Outlet temperatures of cold fluid (K) ∆Tlm Logarithmic Mean Temperature Difference (K) Cp ρ Density kg/m3 Specific heat of the fluid J/Kg. K μ Dynamic Viscosity Pa.s Re Reynolds Number Dimensionless F Friction factor Dimensionless φ Volume fraction of nanoparticles Dimensionless φ v Volume fraction percentage Dimensionless φ m Mass concentration percentage Dimensionless μw Dynamic viscosity of water Subscripts f fluid nf Nanofluid www.ijemr. net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 53 Copyright © 2016. Vandana Publications. All Rights Reserved. np Nanoparticle bf Base fluid (water) v Volume concentration parentage m Mass concentration parentage
sParticle Swarm Optimization Algorithm for Optimal Capacitor Placement on Electric Power Distribution Networks

Optimal capacitor allocation in distribution systems has been studied for a long times. It is an optimization problem which has an objective to define the optimal sizes and locations ofcapacitors to be installed.This paper presents a new methodology using particle swarm optimization (PSO) Algorithm for the placement of capacitors on the distribution systems to reduce the power losses and to improve the voltage profile.The optimization algorithm described here has been applied successfully in a real system. Results obtained by simulation of real system, is presented to validate the proposed solution method. The simulation results show that the proposed method has good performance.
Interleukin-17A Serum Concentrations-No Association with IL17A Gene Polymorphisms in the Bacillus Calmette-Guerin Osteitis Cohort

Serum Interleukin-17A concentration was measured in 127 former Bacillus Calmette-Guerin (BCG) osteitis patients at 21 49 years of age, and the concentrations varied from < 1.22 pg/ml to 1973.5 pg/ml. The concentrations did not differ between those who were carriers of the minor allele A of the IL17A rs4711998 polymorphism and who were not, and between those who were potential carriers of the haplotype GTA of the IL17A rs4711998, rs8193036 and rs2275913 polymorphisms and who were not. In conclusion, we found no evidence on the association between the genotypes or haplotypes of three polymorphisms of the IL17A gene and serum IL-17A concentrations in former BCG osteitis patients.
WEIGHTED PROBABILISTIC MEASURES AND MAXIMUM ENTROPY PRINCIPLE

: The principle of maximum entropy and the principle of minimum cross entropy have been very useful in the field of information theory. These principles have been formulated with the help of probabilistic information theoretic measures. Since the weightage of the events cannot be ignored in general, in the present communication, we have provided the applications of weighted measures of entropy for the study of maximum entropy principle.
Customer Motivation and Loyalty towards Shopping Malls in Chennai City

Consumer movement is a universal phenomenon. The goods or services available may be in abundance or in short supply, but the position of the consumer is weak, in relation to the seller. Sellers want customers, as buyers and not as complainants. The frustration and bitterness on the part of consumers, who have been promised much is indeed great, but they realise less. It can be due to the existence of sellers’ market, where consumers are voiceless. There are many practices whereby consumers are not only being denied their basic rights but are being deceived too. A consumer is an individual who consumes goods, manufactured by firms or created by nature (air, water etc.) and services offered by government hospital, educational institutions etc. Keywords-Profit marketing, Consumer products,
Enriching Tweets for Topic Modeling via Linking to the Wikipedia

Twitter is currently the essential broadcasting services in the world of multimedia and the scope of spread information, news, and events. Due to the nature of tweets, from the short post, limited contextual information, sporadic, noisy and vague, the topics of learning remain a significant challenge. In this paper, the proposed approach overcomes those challenges through complete the contextual information of each tweet by attaching descriptions from the Wikipedia. Tweets will be enriched and integrated with its contextual information of the Wikipedia, in order to convert short posts into long texts and get rid of the deficiencies that produce during the training. This procedure implemented by following the steps; firstly, Twitter Name Entity Recognition (TNER) was proposed to classify the tweets by the nature of it and choosing specified entities for the next step. Secondly, establish connecting through the Wikipedia API, linking the entities of each tweet and Wikipedia appending it to its tweets creating a new dataset, feeding the preprocessing step. Finally, topic modeling, Latent Dirichlet Allocation (LDA), was applied. Moreover, a comparison based on the effect on modeling representation, and the nature of the topics for both datasets was performed. As well as the evaluation criteria were performed i.e. perplexity and coherency of both models. The twitter Dataset was collected via API, from several Twitter accounts for Fox News, Reuters, and CNBC. It indicates that the system affects the representation of topics for the topic modeling. The representation was better for enriched tweets, and the tokens of each topic more descriptive and meaningful, this was indicated by the high coherency of the second model that improve and affect the representation of topics.
Performance Enhancement of AODV Routing Protocol Based on Network Density

—Wireless ad hoc networks are utilize multi-hop radio relaying and are capable of operating without the support of any fixed infrastructure. The absence of any central coordinator or base station makes the routing a complex one compared to cellular networks. The major challenges that a routing protocol designed for MANETs faces are mobility of nodes, resource constraints, error-prone channel state and hidden and exposed terminal problem. In an on demand routing protocol, the source node floods the Route Request (RREQ) packet in the network when a route is not available for the desired destination. The blind flooding technique leads broadcast storm problem, a high number of unnecessary packets rebroadcasts thus resulting in high contention and collision. This paper examined the probabilistic based broadcast method using in existing ad hoc on demand distance vector (AODV) routing protocol and compared results with other probabilistic methods such as traditional AODV, Fixed probabilistic AODV (FP-AODV) and Fixed Flood AODV (FF-AODV). The NS-2 simulation results concluded that significant improvement in terms of routing overhead, throughput, collision rate and end-to-end-delay.
Empowering Patients in Self-Management of Parkinson's Disease Through Cooperative ICT Systems

The objective of this chapter is to demonstrate the technical feasibility and medical effectiveness of per-sonalised services and care programmes for Parkinson’s disease, based on the combination of mHealth applications, cooperative ICTs, cloud technologies and wearable integrated devices, which empower patients to manage their health and disease in cooperation with their formal and informal caregivers, and with professional medical staff across different care settings, such as hospital and home. The presented service revolves around the use of two wearable inertial sensors, i
Understanding the Fashion Followers Propensity to Observe as a Purchase Decision Heuristic

This paper is aimed to investigate the tendency of consumers in observing the purchase behavior of others as a purchase decision heuristic in order to simplify the process of decision making. The study is conducted in the area of fashion clothing by measuring the consumers’ propensity to observe and testing the likely effects of individual consumer factors which are consisted of: brand choice overload, consumer self-confidence, and consumer propensity to conform on propensity to observe. The demographic factor of gender is expected to mediate the relationships between consumer self-confidence, propensity to conform, and consumer propensity to observe. A random of shopping mall visitors are asked to volunteer to participate in the survey by filling the paper-based questionnaires. The relationships of the variables which are formed for this study are tested using IBM SPSS Statistics 19.The findings show that there is a significant positive relationship between brand choice overload/consumer conformity and propensity to observe. Surprisingly, the negative relationship between consumer self-confidence and propensity to observe is not supported as it was expected. Having higher rates of propensity to conform among male consumers and higher levels of self-confidence among female consumers are the findings which was not expected. The major contribution of this research is to highlight the role of consumers’ tendency to observe the purchase behavior of other consumers to resolve their own product choice dilemmas through measuring the effects of influencing factors on propensity to observe.
Successful management of extramedullary plasmacytoma of the larynx in a patient with advanced radiation therapy techniques

Objective: Extramedullary plasmacytoma (EMP) is a rare variant of plasma cell myeloma that affects soft tissues. The most affected sites of EMP are primarily the head and neck regions. In this study, we report a case of this rare neoplasm in the larynx and its management using an advanced radiation therapy protocol. Methods: A 42-year-old Hispanic female presented with a history of progressive hoarseness for several weeks. Initially the patient underwent endoscopic evaluation of her throat to find any tumour lesion in the region of her false vocal cord. The patient was diagnosed with the presence of EMP of the larynx using microscopic laryngoscopy followed by computed tomography (CT)/positron emission tomography (PET)/magnetic resonance imaging (MRI) and pathological evaluations. Results and discussion: The findings of the endoscopic evaluation and microscopic laryngoscopy of the patient’s throat indicated a submucosal mass in the region of her false vocal cord that was keeping the true vocal cords from adequately apposing. The CT/PET/MRI and pathology evaluations revealed the presence of a stage I EMP of the larynx. Following the diagnosis of her disease, the patient was administered a course of conformal 3-Dimentional intensity modulated radiation therapy (IMRT)/image-guided radiation therapy (IGRT) to a total dose of 5,040 cGy in 28 fractions over 44 calendar days. A post-operative treatment evaluation after more than 7 years indicated no evidence of a recurrent neoplasm or distant metastasis. Conclusion: The findings of this case study demonstrated that conformal 3-D IMRT/IGRT is clinically effective in managing the EMP of the larynx successfully. *Correspondence to: G Kesava Reddy, University Cancer and Diagnostic Centers, Houston, TX, USA, Tel: (713) 474-1414; Fax: (713) 474-8477; E-mail: kreddy_usa@yahoo.com
Neural Network based Hand Gesture Recognition

-C onsiderable effort has been put towards developing intelligent and natural interfaces between users and computer systems. This is done by means of a variety of modes of information (visual, audio, pen, etc.). The use of gestures as means to convey information is an important part of human communication. The automatic recognition of gestures enriches Human–Computer Interaction by offering a natural and intuitive method of data input. This paper presents a new technique for hand gesture recognition, for the Human-Computer Interaction (HCI) based on shape analysis. The objective of this effort was to explore the utility of a neural network-based approach to the recognition of the hand gestures. A neural network is build for the classification by using back-propagation learning algorithm. The overall model is designed to be a simple gestural interface prototype for various PC applications.
Frame Work for Intelligent Hybrid Cloud Data Hosting Services with Effective Cost and High Availability

In this paper, the major concentration is an efficient and user based data hosting service for hybrid cloud. It provides friendly transaction scheme with the features of cost effective and high availability to all users. This framework intelligently puts data into cloud with effective cost and high availability. This gives a plan of proof of information respectability in which the client has utilize to check the rightness of his information. In this study, the major cloud storage vendors in India are considered and the parameters like storage space, cost of storage, outgoing bandwidth and type of transition mode. Based on available knowledge on all parameters of existing cloud service providers in India, the intelligent hybrid cloud data hosting framework are assured to customers for low cost and high availability with mode of transition. It guarantees that the ability at the customer side is negligible and which will be helpful for customers.
802.11a Synchronizer Performance Analysis (Simulation)

— In this paper performance of 802.11a Synchronizer is analyzed in terms of packet detection and time synchronization using MAT LAB. We have done rigorous research into OFDM WLAN synchronization algorithms and implemented a synchronizer which performs packet detection and time synchronization. The result of the research has practical reference value for further study.
Characteristic Performance Analysis of Electrical Machine with Faults via Wavelet Transforms

This paper presents a novel approach to electrical machine current signature analysis based on wavelet transform of the stator current by using labview programming. The novelty of the proposed method lies in the fact that by using WT method the inherent non stationary nature of stator current can be accurately considered. The key characteristics of the proposed method are its ability to provide feature representations of multiple frequency resolutions for faulty modes, ability to clearly differentiate between healthy and faulty conditions, and its applicability to non-stationary signals. Successful implementation of the system for rotor bar breakage is demonstrated here . The condition monitoring of the electrical machines can significantly reduce the costs of maintenance by allowing the early detection of faults, which could be expensive to repair. The applied method is the wavelet transform which utilizes the results of the stator current. Keyword-Electrical machine, Mechanical fault, Wavelet transform, NI USB
Dynamic Data Payload & Data Packets Transmission over Network using UDPLite

In last few years, usage of Mobile Ad-hoc Networks (MANETs) for communication has increased at a faster pace due to its easiness of application and flexibility. Also, broadcast of multimedia matters over Internet is the most extensively used technologies being used worldwide. According to the trends used in technology, most of the information directed through the Internet are interactive multimedia contents, which favors to be delivered in error-state than being rejected or arriving late. To avoid network jamming, it is favored to transfer the information without any overhead of former connection establishment. To use UDP as transport protocol is an answer to both the problems, which provide no consistency and have low rules processing overhead. UDP-Lite an improved version of UDP, was also introduced an era ago, which has been precisely designed for real-time multimedia applications. To compare the performances of UDP and UDP-Lite by altering several network parameters for transmitting various video codecs, is the aim of this paper.
A Study on Real Time Plant Disease Diagnosis System

: We aim to develop a real time application to the farmers for managing crop diseases. However, disease detection requires continuous monitoring of experts which might be prohibitively expensive in large farms area. Automatic detection of plant diseases is an essential research topic as it may prove benefits in monitoring large fields of crops and thus automatically detect the symptoms of diseases as soon as they appear on plant leaves. Regarding plant disease diagnosis methodologies to detect diseases on crops, image processing in disease diagnosis and eAGROBOT was studied. This paper is aiming to all are collectively used and formed semi real time system for a disease diagnosis which uses image processing and data mining concepts to give pesticide recommendation and pesticide cost estimation system. Thus the android application makes a good foundation for following effective characteristic parameters for the disease diagnoses and setting up recommender system. The system is to be designed and developed using Android studio as front-end software and SQLite as back-end software. The pictures and remedial measures of the diseases were stored in the database and can be retrieved whenever necessary. The challenge is to make the farmers listen to the crop disease diagnosis system and to get the advice related to the crop diseases. The constraint here is to develop the expert in local languages so that farmers can operate the ES by themselves and get expert advice from the system.
Video Manifold Feature Extraction Based on ISOMAP

: ISOMAP is a nonlinear dimensionality reduction method and also one of several widely used low-dimensional embedding methods. ISOMAP is one representative of isometric mapping methods,and extends metric multidimensional scaling by incorporating the geodesic distances imposed by a weighted graph. In this paper, nonlinear dimensionality reduction Isomap is introduced in context of video manifold feature extraction. According to MATLAB tests, ISOMAP algorithm is able to reduce dimensionality greatly and provide an alternate tool for video analysis.
Comprehensive Wind Analysis Of Stress Ribbon Bridge

A stressed ribbon bridge (also known as stress-ribbon bridge or catenary bridge) is primarily a structure under tension. The tension cables form the part of the deck which follows an inverted catenary between supports. The ribbon is stressed such that it is in compression, thereby increasing the rigidity of the structure where as a suspension spans tend to sway and bounce. Such bridges are typically made RCC structures with tension cables to support them. Such bridges are generally not designed for vehicular traffic but where it is essential, additional rigidity is essential to avoid the failure of the structure in bending. A stress ribbon bridge of 45 meter span is modelled and analyzed using ANSYS version 12. For simplicity in importing civil materials and civil cross sections, Civil FEM version 12 add-on of ANSYS was used. A 3D model of the whole structure was developed and analyzed and according to the analysis results, the design was performed manually. A comprehensive wind analysis was performed under IRC 6 guidelines for the bridge for spans 45m, 50m, 55m and 60m. Further, depth optimization was performed 45m span for the wind zone located in Mumbai (Zone III)