Miracle-dz/UniFAR-FTUs huggingface dataset:
The maximum power output from a cell phone is regulated by mobile phone standards and it

121 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: G6076058719 /19©BEIESP  Abstract—Electromagnetic radiation is one of the important aspect while studying the human biological characteristic and their variation. Here we have studied the effect of cell phone exposure to human body for duration of one minute.The brain activities are measured by EEG signals. The EEG waveform is measured before use of cell phone and while talking on cell phone. In this paper we have analyzed distance band for the position of mobile phone. The distance band is 1.8 inch to 2.2 inch. Here we also analyzed, for frequency 0.9 GHz to 1.8 GHz and it is observed temperature variation 0.36 °C to 0.71 °C.Her also we observed effect of penetration length, length changed from 0.1 cm to 1 cm. It is highlighted that if we use mobile phone in particular distance band, then effect in frequency variation is reduced.
Automatic Customer Counter and Payment Tool for Shopping Centers and commercial spaces

- The number of visitors is a significant indication of success of every public or private commercial space. In those spaces many customers do not buy from their first visit and not all clients find their choice by just visiting. We propose in this paper a smart customer counter for the shopping centers and commercial spaces. The system composed of three parts; the first part based on microcontroller PIC 16F88 to detect the visitors by the combination of two infrared barriers and infrared movement detector. The second part based on Arduino Nano and the XBee module used as an employe’s badge. The third part consists of a PC and Windev GUI interface.The system collects the information of customer number and workers access then sends them to the PC via RF technology (XBee modules/ ZigBee protocol). The PC displays the data received using the graphic interface (GUI).
SURVEY ON OPTIMIZED PREDICTION OF HARD KEYWORD QUERIES OVER DATABASES

: KQI on databases give easy access to data, but undergo from low ranking quality, i.e., low precision and/or recall. It would be constructive to recognize queries that are likely to have low ranking quality to improve the user satisfaction. For example, the system may suggest to the user alternative queries for such difficult queries. Goal of this paper is to predict the characteristics of hard queries and propose a novel framework to measure the degree of difficulty for a keyword query over a database, allowing for both the structure and the content of the database and the results of query. There are query difficulty prediction model but results indicate that even with structured data, finding the desired answers to keyword queries is still a hard task. Further, paper present a new approach is nothing but extended outline in which before calculating Structured Robustness score we are applying the K-means clustering to divide input dataset into number of clusters those having legitimate information’s. As well, we will use linguistic features Such as morphological features, syntactical features, and semantic features for effective prediction of difficult keyword queries over database. Due to this, Time required for predicting the difficult keywords over large dataset is minimized and process becomes robust and accurate.
Spatial pooling of heterogeneous features for image classification using GPP

— Geometric phrase pooling (GPP) refers to extraction of spatial features of images in both x and y coordinate. It holds an important stake in the process of image classification. Application of GPP for image extraction is done using BOF model.The Bag-of-Features (BoF) is a widespread model that targets to epitomize images as a loose collection of features devoid of the use of some spatial statistics. As a result of its straightforwardness and decent enactment its attractiveness have significantly increased for image classification. BoF has progressed from method named as texton used in texture analysis. For execution of the BoF model four selections are necessary to be done, these selections are method to be used for sampling patches, procedures used to define them, characterization of the obtained spatial dissemination and finally classification of images built on the outcome. With the use of various methods such as Region of Interest (ROI) and extraction of multiple descriptors, disadvantages of BoF model can be neutralised. In spite of using all the above mentioned techniques rational assimilation of all the modules is not capable of resolving the disadvantages. And to overcome the above mentioned issue, this paper suggest an excellent framework with spatial assembling of heterogeneous features . BOF model is appliedby means ofsucceedingprocedures , speeded up robust feature (SURF) descriptor and canny edge map detector are used for extraction of spatial heterogeneous features, then feature pooling is used for construction of codebook, Support vector machine (SVM)is used for image classification and lastly color, texture and shape based techniques are used for image retrieval.
EFFECT OF HEATING AT 95 0C ON ANTIOXIDANT ACTIVITY AND TOTAL PHENOLIC CONTENT IN EXTRACTS OF PLECTRANTHUS AMBOINICUS LEAVES

Nowadays, many of antioxidants on the market, but most of the antioxidant is heat sensitive which their antioxidant capacity is decreased during processing. So, a heat stable antioxidant is important to ensure their effectiveness for neutralize the free radical in the human body. The aim of this study is to determine a presence of heat stable antioxidant activity of Plecranthus amboinicus leaves. Dried-powdered leaves was soaked water and heated at 95 °C for 0, 30, 60, 90 and 120 minutes, respectively. Water extracts were freeze dried to obtain the powdered water extracts. The remaining of leave’s biomass was sequential extracted with ethanol and ethyl acetate to obtain ethanol and ethyl acetate extract. The antioxidant activity and total phenolic content of the extracts were determined by 2,2-diphenyl-1-picrylhydrazyl and Follin Ciocalteau assay, respectively. The results were shown that the ethanol extract had the highest (p ≤ 0. 05) antioxidant activity compared to the water and ethyl acetate extract. The ethanol extract had also the highest phenolic content (77.99 ± 0.52 GAE μg/0.5 mg extract). It can be concluded that the leaves of P.amboinicus might contained a heat stable antioxidant substance which contributed by phenolic substances.
GEOMETRICAL FEATURES BASED CLASSIFICATION OF ARECANUT

Arecanut is the seed of the areca palm (Areca catechu), Arecanut palm is one of the important commercial crops in India and majority of arecanut are produced and consumed by Indian populations compared to other countries. In this proposed work arecanut seeds classification have been conducted for twelve varieties using geometrical features with kNN classifier and obtained result of 86.66% accuracy. The global thresholding Otsus segmentation method is used for segmentation using saturation component of HSV color model. Geometric features like Area, Major Axis Length, Minor Axis Length, Perimeter and solidity are considered by using regionprops method and kNN classifier is used to classify the data.
A Review on Image Denoising Techniques Using Wavelet Transform Methods

-The research area of image processing grew from electrical engineering as an addition of the signal processing branch. The enormous amount of data necessary for images is a main reason for the growth of many areas within the research field of computer imaging such as image processing and compression. The pre dealing being worked upon is the de noising of images. In order to get this in requisites of the concerned research work, wavelet transforms is applied. Wavelet transform and Un-decimated Discrete wavelet transform. DWT can also be added. This can be done in order to discover more possible combinations that may lead to the finest denoising technique. In this review paper we have tried to review the maximum aspects regarding to image denoising.
A Review of the Relationship between Obesity and Circulating Vitamin D Levels: Strength and Directionality. Bioequiv & Bioavailab Int J 2017, 1(2): 000110

Obesity is the chronic disease of the time of a myriad of associated dietetic and behavioral factors. Vitamin D deficiency (VDD) has also been linked to obesity. This work reflects an interest in studying the relationship between obesity and vitamin D deficiency in the community. A thorough review to examine available data addressing the underlying mechanisms; correlates and causal relationship between the two conditions would be carried out. Understanding the association trends between obesity and VDD states helps improve policies and suggest recommendations for the control and prevention of obesity -related VDD complex, especially among risk populations.
PERFORMANCE EVALUATION OF ILLUMINATION INVARIANT FACE RECOGNITION ALGORTHIMS

– Evaluation methods are the paradigm to determine the accuracy and performance of the illumination invariant face recognition algorithms. Performance evaluation methods are used to differentiate, compare and elucidate various aspects of face recognition such as features of subjects, location and illumination. Changing illumination severely affects the recognition accuracy of various existing face recognition algorithms. To address the illumination problem various illumination insensitive face recognition methods are developed. This paper presents a hybrid approach of illumination invariant face recognition using Local Binary Pattern and Local Ternary Pattern fusion with illumination normalization and compares the performance of the proposed algorithm and traditional algorithms using the Receiver Operating characteristics(ROC).
COMPARISON OF EXISTING TECHNOLOGY ACCEPTANCE THEORIES AND MODELS TO SUGGEST A WELL IMPROVED THEORY/MODEL

This paper presents a part of an on-going research study which aims to develop a model on technology acceptance appropriate to the Sri Lankan context. Current paper reviews the theoretical literature to propose an improved theory/model from a comparison of existing technology acceptance theories/models. In this technological era, awareness of technology is important in today’s fast changing networked society. Since technology is of little value unless it is used, how people accept and use technology may have salient theoretical and practical implications. Therefore, researchers concurred on the fact that quality elucidations occur because of robust theories/models on technology acceptance. Despite of the negative aspects identified in the theoretical paradigms of these theories/models, one significant paradigm out of fourteen theories/models could be drawn from the conceptual review on theory/model comparison presented here. Among the fourteen theories reviewed, UTAUT seems to be an improved theory that could provide a useful tool to assess the likelihood of success for technology acceptance studies.
PREPARATION AND EVALUATION OF ALGINATE/CHITOSAN NANODISPERSIONS FOR OCULAR DELIVERY

Objective: Preparation and characterization of ketorolac tromethamine (KT)-loaded alginate/chitosan nanodispersions for ocular sustained drug delivery and improved transconeal permeation. Methods: Alginate/chitosan KT-loaded nanoparticles were formulated using different techniques; modified coaservation and ionotropic pregelation. The nanodispersions were evaluated for particle size, zeta potential, entrapment efficiency and in-vitro release. The formula with optimum physicochemical characteristics was tested for stability as well as ex-vivo transcorneal permeation in comparison to marketed eye drops (Acular®). Results: In both techniques, increasing the concentration of chitosan showed a significant increase in particle size. However, increased size with increasing the amount of alginate was significant in modified coaservation method but non-significant in ionotropic pregelation method. The ionotropic pregelation method generally resulted in nanoparticles with smaller sizes. The values of zeta potential were highly influenced by the alginate/chitosan ratio in both methods as the high amount of alginate shifted the zeta potential to be negative, and the absolute value increased by increasing its concentration. The entrapment of KT into nanoparticles prepared by ionotropic pregelation method was found to be significantly lower than those prepared by modified coaservation method. All the nanodispersions showed an initial burst release followed by a more gradual and sustained-release phase. Alginate NPs significantly retarded the release of KT and showed higher transcorneal permeation when compared with Acular®. Conclusion: Ionotropic pregelation method produced nanodispersions for all tested alginate/chitosan ratios with sustained KT release and improved transcorneal permeation.
NANOPARTICLES-TREMENDOUS THERAPEUTIC POTENTIAL:A REVIEW

The last few decades have hosted a revolution in materials science. In many cases, it is now possible to manipulate atoms and molecules within materials one at a time and, therefore, to construct materials with nanometer-scale precision. This new capability in materials science is called nanotechnology. The potential intersection between nanotechnology and the biological sciences is vast. Biological function depends heavily on units that have nanoscale dimensions, such as viruses, ribosomes, molecular motors and components of the extra cellular matrix. In addition, engineered devices at the nanoscale are small enough to interact directly with sub-cellular compartments and to probe intracellular events. There has been a considerable research interest in the area of drug delivery using particulate delivery systems as carriers for small and large molecules. Particulate systems like nanoparticles have been used as a physical approach to alter and improve the pharmacokinetic and pharmacodynamic properties of various types of drug molecules. They have been used in vivo to protect the drug entity in the systemic circulation, restrict access of the drug to the chosen sites and to deliver the drug at a controlled and sustained rate to the site of action. Various polymers have been used in the formulation of nanoparticles for drug delivery research to increase therapeutic benefit, while minimizing side effects. Here, we review various aspects of nanoparticle formulation, characterization, effect of their characteristics and their applications in delivery of drug molecules and therapeutic genes. The ability to assemble and study materials with nanoscale precision leads to opportunities in both basic biology and development of new biological technologies.
OPTIMIZED KERNEL IMPLEMENTATION OF MANSOS

— Operating system support for Wireless sensor networks (WSN) plays a major role in building scalable distributed applications that are efficient and reliable. Over the years, we have seen a variety of Operating systems emerging in the sensor net community to facilitate developing WSN applications. The design of operating system for WSN is a challenging task. In the proposed model optimized kernel model for portable and easy-to-use WSN operating system has a smooth learning curve for users with C and UNIX programming experience is presented. The OS features a configuration model that allows reducing application binary code size and building time. In contrast to other Wireless sensor networks operating system, MansOS provides both event-based and threaded user application support, including a complete lightweight implementation of preemptive threads
Stimulus-Response Behavior of Moving Agents

— This paper considers the fact of designing the stimulus-response behavior of spatial moving agents as a Command pattern-based approach. By decoupling the way agents receive the information from the actions they perform to react to that information, we find a design that is scalable and adaptable, as well as beneficial at the time of making improvements (i
Semantic Based Approach for Adaptive E-Learning System: An Architectural Model

— E-learning systems are expected to provide the suitable learning materials for learners. However, they cannot meet this expectation due to the similarity of learning material. This problem is caused due to lack of personalization and the current solutions are not sufficiently aware of the context of the learner. This paper aims to develop the ontology based learner model for context-aware adaptive e-learning system to provide context-aware delivery of learning material. Furthermore, this study discusses about the approaches for acquiring contextual information of e-learner along with the appropriate architectural overview of e-learning system.
MOLECULAR CHARACTERIZATION OF GROWTH HORMONE GENE IN EXOTIC AND CROSSBRED PIGS

Growth hormone (GH) plays a central role in growth and production through its influence on important metabolic activities in mammals which prompted its wide commercial use including use as a candidate marker. In present experiment, polymorphism at exon 1 and 2 of Growth Hormone gene (GH) was studied using PCR– RFLP in crossbred and exotic pigs, commonly found in north east India. Restriction enzyme digestion of 607 bp PCR amplicon with ApaI, HaeII, DdeI and MspI revealed 3, 3, 3 and 1 genotyopes, respectively. Comparison of obtained sequences revealed large scale nucleotide and residue substitutions. Observed polymorphism may be associated with wide variability in growth (rate) of different breeds of pig.
MEANINGFUL AND UNEXPANDED SHARES FOR VISUAL SECRET SHARING SCHEMES

In today’s internet world it is very essential to secretly share biometric data stored in the central database. There are so many options to secretly share biometric data using cryptographic computation. This work reviews and applies a perfectly secure method to secretly share biometric data, for possible use in biometric authentication and protection based on concept of visual cryptography. The basic concept of proposed approach is to secretly share private image into two meaningful and unexpanded shares (sheets) that are stored in two separate database servers such that decryption can be performed only when both shares are simultaneously available; at the same time, the individual share do not open identity of the private image. Previous research, such as Arun Ross et al. in 2011, was using pixel expansion for encryption, which causes the waste of storage space and transmission time. Furthermore, some researcher such as Hou and Quan’s research in 2011, producing meaningless shares, which causes visually revealing existence of secret image. In this work, we review visual cryptography scheme and apply them to secretly share biometric data such as fingerprint, face images for the purpose of user authentication. So, using this technique we can secretly share biometric data over internet and only authorized user can decrypt the information.
IMPACT OF LOW ENERGY TIME SYNCHRONI-ZATION METHODS IN WIRELESS SENSOR NETWORKS

-In the current time a large no of Time Synchronization methods are used. Each method has own characteristics and Synchronization precision. Each method has its own feature and characteristics. Each method has advantages and disadvantages. Each method has its own limitations, working environmental conditions and provided its results. Some of the methods provide accurate results and some of the time synchronization methods provide approximate results. Time Synchronization methods have large series like as RBS, Post Facto synchronization, TPSN, LTS, External vs. Internal, on demand, GPS, offset, subset synchronization, DMTS ,FTSP, RATS , GRADIENT TIME SYNCHRONIZATION PROTOCOL, PLTS etc. These time synchronization methods Precision, Lifetime, Scope and Availability, Efficiency, Cost and Form Factor. DMTS, RATS and FTSP synchronization precesson or errors have shown in μ s .
1272-1276 Shameer_Pillarisetti 356

*Corresponding Author: Narasimharao Bhogireddy, Research scholar, Department of Biomedical Research, K L University, Guntur, Andhra Pradesh, India 1272 RNA POLYMERASE INHIBITORS AGAINST PROTEASE NS3 HELICASE (DENGUE VIRUS) AS WELL AS DERIVED NOVEL SCAFFOLD AND VALIDATED BINDING AFFINITY FOLLOWED BY MOLECULAR PROPERTIES Shameer Pillarisetti, Sivanageswararao Mekala, Venkatarao Vulli, Narasimharao Bhogireddy and John Dogulas Palleti, Sameer Chaudhary RASA Life Science Informatics, Sivajinagar, Model colony, Pune, Maharashtra, India Department of Pharmacology, International medical and technological university (IMTU), Dar Es salaam, Tanzania Department of Biochemistry, International medical and technological university (IMTU), Dar Es salaam, Tanzania Department of Biomedical Research, K L University, Guntur, Andhra Pradesh, India Department of Human Genetics, Andhra University, Visakhapatnam, Andhra Pradesh, India
Infrequent ITEMSET Mining Using Temporal Frequent Scheme

s Discovering rare data correlations is more interesting than mining frequent ones. The Proposed system focuses on the issue of discovering infrequent weighted itemsets by using weights for differentiating between relevant items and not within each transaction. To reduce the complexity of the mining process in high dimensional databases, the temporal infrequent weighted itemset TIWI Miner has been proposed. The system also performs the temporal partition of the database for timely analysis. Using the temporal scheme the user can identify the frequent and infrequent item weights for the specific time interval.Using the above the user can take decision according to the item transaction.The proposed system implements the aggregation techniques in the transactional database using FP-Growth algorithm.
Noise and Performance Analysis of Image compression by Hybrid technique (Neural Network combined with DWT)

In signal and image processing techniques for pattern recognition and template matching Neural networks are significantly used. In this work image compression is done by neural networks. DWT is combined with NN for achieving better MSE and increase in compression ration greater than 100%. NN architecture achieves maximum of 98% with use of four neurons in the hidden layer, with selection of LL sub band only the compression is improved by another 75%. The design proposed is suitable for high resolution image compression to improve the performance of image compression algorithm
SECURE: An Ameliorated SQL Semiotic for Security

------------------------------------------------------------------- ABSTRACT -------------------------------------------------------------- The Information Systems, Databases are vital and critical in the arena of Business, Enterprise, Governance etc., for the decision making. Further, the Information Systems are designed to reach maximum number of people for interaction with system. This intent of system usage appears to be resourceful but the identification of reliable users of system has challenged the technocrats Most