Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed data access control into multi authority with a central certified authority in cloud storage systems

- Data access control is an effective way to ensure data security in the cloud. However, due to data outsourcing and untrusted cloud servers, the data access control becomes a challenging issue in cloud storage systems. Ciphertext-policy attribute-based encryption (CP-ABE) is a promising technique for access control of encrypted data. However, due to the inefficiency of decryption and revocation, existing CP-ABE schemes cannot be directly applied to construct a data access control scheme for multiauthority cloud storage systems. In this paper, we propose Data access control is distributed in to multi authority with a central certified authority in cloud storage systems, an effective and secure distributed data access control scheme with efficient decryption and an efficient attribute revocation method that can achieve both forward security and backward security.
Morphological and Molecular Identification of Beauveria bassiana as Entomopathogen Agent from Central Kalimantan Peatland, Indonesia

This aim of this research was to indentify B. bassiana by morphological and molecular identification that isolated from monoculture and polyculture field in central Kalimantan, Indonesia. Isolate of B. bassiana was explored from monoculture and polyculture field in Palangkaraya peatland, Central Kalimantan. Soil samples was taken from 60 sampling point nearby mustard plant root, 30 samples from monoculture field and 30 samples from polyculture field. Isolate of B. bassiana was identified by morphological and molecular characterization. The result showed that eight isolates of B. bassiana were found in Palangka Raya, Central Kalimantan from both monoculture and polyculture. There are no significant differences between B. bassiana isolates which isolated from monoculture and polyculture based on morphological and molecular characterization according PCR techniques. All of B. bassiana isolates has three size of band 800bp, 550bp, 400bp. B. bassiana could be potential entomopathogen agent from peatland in Palangka Raya, Central Kalimantan, Indonesia.
Hydromagnetic Nanofluid Flow in the Presence of Radiation and Heat Generation/Absorption Past an Exponential Stretching Sheet with Slip Boundary Conditions Using HAM

Flow and heat transfer features past a stretching sheet have important role in industrial applications, for example, extrusion of polymer sheet from a die. In the process of manufacturing sheets, the melt process from a slit and is thereafter stretched. The rates of cooling and stretching have a great influence on the quality of the finished product with desired features. This processes which involved cooling of a molten liquid through drawing into a cooling system. At first is the cooling liquid used then thereafter is the rate of stretching are the processes involved. Weak electrical conductivity of non-Newtonian fluid can be chosen for cooling fluid as their flow and after mentioned the regulated the heat transfer rate through some external medium. Highest rate of stretching is vital as results in sudden solidification then destroying the properties expected from the final product.
Implementation Process of Corporate University in Network (CUN)

The scientific literature points out that there are difficulties for the implementation of corporate university models since it is required the management of cultural, behavioral and structural changes, involving all the stakeholders of an organizational system. Among these difficulties, there is the commitment of leaders, definition of corporate education as organizational strategy, corporate university delimitation, identification of products and services, quality requirements and customers that will be suit. Also, promotion of the recognition system and people's reward, the systematization of best practices and error handling; definition of the centralization and decentralization of education activities across network; besides the strategic alignment design, the technologies, partnerships and evaluation of results. The most current studies describe that, to decrease these locks, the implementation must be perceived as an interaction process between the initial conditions and the expected results. That is, the implementation cannot be considered only as the exact moment of decision-making, but rather, it must be understood as a process composed of different steps to be taken to its effectiveness. In this context, this article aims to propose the most contemporary implementation process of a model of corporate university, identified in Scopus database as Corporate University in Network (CUN), taking into account the need for care of the different expectations and stakeholder interests in the organizational ecosystem. For such, a bibliographical research of descriptive end was carried out in which it is the Corporate University in Network model is presented, deepen its strategic rationale and taking them in consideration in the process considered for its implementation. As a result, we described the major stages of evolution towards the CUN model, and we proposed an implementation process, consisting of thirteen interrelated actions in order to achieve the final stage.
Hyper spectral Remote Sensing and GIS for Forestry Management: a Survey

Hyperspectral sensors are devices that acquire images with narrow bands (less than 20nm) with continuous measurement. It extracts spectral signatures of objects or materials to be observed. Hyperspectral have more than 200 bands. Hyperspectral remote sensing has been used over a wide range of applications, such as agriculture, forestry, geology, ecological monitoring, atmospheric compositions and disaster monitoring. This review details concept of hyperspectral remote sensing; processing of hyperspectral data. It also focuses on the application of hyperspectral imagery in agricultural development. For example, hyperspectral image processing is used in the monitoring of plant diseases, insect pests and invasive plant species; the estimation of crop yield; and the fine classification of crop distributions .
Performance Analysis of Effective Arabic Language Question Answering System

— With technological development, Question Answering has come out as the major area for the researchers. In Question Answering user is provided with specific answers instead of large number of documents or passages. Question Answering offers the solution to get effective and accurate answers to user question asked in natural language rather than language query. Arabic is among the languages that are less concerned by researchers in area of Question Answering System This paper compares some already existing Question Answering Systems for Arabic language. Different Arabic language Question Answering Systems are compared on performance basis. We also talk about the best approach out of all and the reasons for its effective performance and some methods for additional improvement in those techniques.
STUDY OF EMPLOYEE EMPOWEREMENT AND JOB SATISFACTION OF UNIVERSITY STAFF IN A TQM PERSPECTIVE: IMPLICATIONS FOR HIGHER EDUCATION MANAGERS

Employee empowerment and job satisfaction have recently been progressively presumed as aspects of quality management and a competitive advantage of organizations. However, they have scarcely been studied in a higher education leadership context. The purpose of the research was to a) explore the correlation between employee empowerment in management practices and job satisfaction in a higher education institution’s context, by applying perspectives of organizational psychology and higher education leadership and b) determining their implications for higher education leadership at the institutional level. The study tested the hypothesis that there should be a correlation between employee empowerment and job satisfaction of university employees. Data were obtained using an on-line survey method from a sample of 158 administrative and academic staff at the selected public university in Georgia. Correlation analysis was made for the purpose of analysing correlation between employee empowerment and job satisfaction. For ensuring the validity, criterion validity has been applied. The data were interpreted based on the Total Quality Management conceptual framework. The results of the research showed that there is a positive correlation between employee empowerment and job satisfaction in general and a high degree of empowerment is more correlated with job satisfaction in case of academic staff than in case of administrative. The research outcomes offer meaningful implications to individuals involved in quality assurance practices and leadership roles at universities. The findings of the research will allow higher education managers to maximize organizational strategies and improve overall organizational quality culture at universities, by considering the topics explored in the present research. Finally, limitations and suggestions for future research are discussed.
KANNADA HANDWRITTEN CHARACTER RECOGNITION FOR AUTOMATIC FORM PROCESSING

— Data processing and management is common now a days. In this paper, automatic processing of forms written in Kannada language is considered. A suitable pre-processing technique is presented for extracting handwritten characters. Principal Component Analysis (PCA) and Histogram of oriented Gradients (HoG) are used for feature extraction. These features are fed to multilayer feed forward back propagation neural network for classification. Only 57 characters are used for recognition. Performances of two features are compared for different number of classes. HoG is found to have better recognition accuracy than PCA as number of classes increased. This is implemented in Visual Studio 2010 using OpenCV library.
Comparative Tabletting behavior of Carbamazepine granules with spherical agglomerated crystals prepared by spherical crystallization technique

The aim of this study was to prepare Spherical agglomerates of Carbamazepine by Quesi-Emulsion Solvent Diffusion system (QESDS) with Ethanol-Chloroform-Water system. Granules were prepared by wet granulation method with different excipients.The prepared agglomerates were evaluated for flowability, compressibility, wettability, packability and solubility. Tablets were prepared and evaluated for tensile strength, hardness, friability, disintegration time and dissolution rate. Formulate, evaluate and compare the tablet dosage form prepared from agglomerated crystals, granules and physical mixture of drug with excipients.The prepared agglomerates were white, free flowing and spherical in shape. The yield of agglomerates was 95% and showed 90-95% drug content. Prepared agglomerates were also improved in compressibility, packability and solubility. The tablet dosage form prepared from agglomerated crystals showed improvements in tensile strength, hardness, friability, disintegration time and dissolution rate as compared to tablets prepared from granules. Thus this technique is simple, less expensive, may be an advantages for developing it on a commercial scale for manufacturing of tablets.
Detection of microaneurysm in fundus retinal images using SVM classifier

An eye disease caused due to diabetes is called as Diabetic Retinopathy (DR). This effects on small blood vessels in the retina, which may lead to blindness. The first sign of DR is detecting microaneurysm(MA),which appears in small circular spot. In this paper we proposed a method for detecting microaneurysm in retinal fundus images.Support vector machine(SVM) is used for giving the grades such as Normal, Mild, Moderate,& severe condition, based on the parameters related with MA like Area, perimeter, eccentricity, centroid. Matlab based GUI is implemented. According to the parameters, Accuracy, Sensitivity, Specificity is calculated. According to the Experimental results SVM has 93.33% accuracy.
International Journal of Innovative and Emerging Research in Engineering

: Data mining has made a great progress in recent year but the problem of missing data or value has remained great challenge for data mining. data mining is the field of studying experimental data sets for the discovery of interesting and potentially useful relationships. Missing data or value in a datasets can affect the performance of classifier which leads to difficulty of extracting useful information from datasets. There are a number of alternative ways of dealing with missing data. Several methods like Listwise Deletion, Pairwise Deletion, Mean Imputation, Regression Imputation, K-Means Imputation(KMI), Fuzzy K-means clustering Imputation (FKMI), Support Vector Machine Imputation (SVMI) for imputation of missing values using available values in the data set. In this study, different methods are reviewed and compared with their advantages and disadvantages
EXTRACELLULAR SYNTHESIS OF SILVER NANOPARTICLES FROM A MARINE ALGA, SARGASSUM POLYCYSTUM C. AGARDH AND THEIR BIOPOTENTIALS

The present study was aimed to optimize the protocol for the synthesis of silver nanoparticles using aqueous extract of Sargassum polycystum C. Agardh and to evaluate their antibacterial and cytotoxic potentials. The reduction of pure Ag + ions was monitored by measuring the UVVis spectrum of the solution at 200-900 nm using Shimadzu spectrophotometer and the characteristic peaks were detected. FTIR analysis was performed using Perkin Elmer Spectrophotometer system, which was used to detect the characteristic peaks and their functional groups of S. polycystum SNPs. To know the structural characteristics of silver nanoparticles the powder method of diffraction was employed. Antibacterial activity of aqueous extract and silver nanoparticles of S. polycystum was carried out using agar well diffusion method. To know the cytotoxic and anti-cancer potentials, the brine shrimp bio-assay and Trypan blue dye exclusion method was employed. On mixing the S. polycystum aqueous extract with 1mM AgNO3 solution, the colour of the solution changes from pale yellowish brown to dark brown colour which indicates the presence of silver nanoparticles. The AgNP’s synthesized from aqueous extract of S. polycystum showed the optical peak at 430 nm with the absorption of 0.716. The synthesized silver nanoparticles were capped by proteins and metabolites such as phenolic acid, carboxylic acid and flavonoids. The XRD pattern of S. polycystum AgNPs showed nine peaks at 2θ values of 21.405°, 28.388°, 29.947°, 32.244°, 40.553°, 46.223°, 54.78°, 57.448° and 76.67°corresponding to 208, 509, 149, 1681, 257, 833, 257, 272 and 256 planes of silver respectively. The S. polycytum AgNP’s (100 μl/ml) supplemented cultures demonstrated WORLD JOURNAL OF PHARMACY AND PHARMACEUTICAL SCIENCES SJIF Impact Factor 5.210 Volume 4, Issue 09, 1388-1400 Research Article ISSN 2278 – 4357 Article Received on 22 July 2015, Revised on 11 Aug 2015, Accepted on 31 Aug 2015,
Collaborative Distributed Protocol and Holistic Approach of Security in Wireless Sensor Networks

- Wireless Sensor Network (WSN) is the most employed network service in commercial and industrial applications, for the ease of its technical development in a processor, communication, and low-power usage of embedded computing devices. Sensor nodes are used for constant sensing, event ID, event detection & local control of actuators. The applications of WSN mainly include health, military, environmental, smart home technology, & other commercial areas. When deployed in hostile environmental conditions, the sensor nodes are vulnerable to physical capture and other constraints that puts security as a major challenge for the researcher’s in the field of computer networking. The inclusion of wireless communication technology also incurs various types of security threats. The intent of this paper is to investigate the security related issues and challenges in wireless sensor networks. We identify the security threats, review proposed security mechanisms for wireless sensor networks. We also discuss the holistic view of security for ensuring layered and robust security in wireless sensor networks.
Comparison of Various RCNN techniques for Classification of Object from Image

- Object recognition is a very well known problem domain in the field of computer vision and robot vision. In earlier years in neuro science field CNN has played a key role in solving many problems related to identification and recognition of object. As visual system of our brain shares many features with CNN's properties it is very easy to model and test the problem domain of classification and identification of object. Basically CNN is typically a feed forward architecture; on the other hand visual system is based upon recurrent CNN (RCNN) for incorporating recurrent connections to each convolutional layer. In middle layers each unit is modulated by the activities of its neighboring units. Here Various RCNN techniques (RCNN,FAST RCNN,FASTER RCNN )are implemented for identifying bikes using CALTECH-101 database and alter their performances are compared.
IRIS RECOGNITIONFOR SECURE ACCESS

-Providing secured access to physical locations and to data is the primary concern in many personal, commercial, government andmilitary organization. Classic solution to this includes carrying an identifying document and remembering a password. But, classical Solutionhas problems like forgetting to carry the identifying document, forgetting the password, and includes a high chance of forgery. The emergence of biometrics has helped to address these problems. Amongst all the forms of biometrics, the iris has been preferred because every iris is unique to a degree that the probability of 2 irises being identical is 1 in 10 78 . So, we are using iris recognition to provide secure access.First, user have to registerhis iris image using RFID tag& it is saved in database. When user wants access, he swap RFID tagand his current iris image taken by IR camera is compared with iris image registered by same RFID tag& depending on that authentication is given.Instead of comparing current iris image with all images in database ,one to one matching is done to improve the speed of system.Here,Segmentation is done by using canny operator and circular Hough transform,Daughman’srubbersheet model is used for normalization and features are extracted.Then,matching is performed on score basis.
Design and Development of Push Pull DC-DC Converter by ZCS/ZVS to Electrical Vehicle (EVs) Applications

Electrical Vehicle (EVs) is taking a leading role in upcoming research area of Renewable energy source applications. In this paper, a novel Push–Pull converter is proposed, which has simple and reduced gating signal used by the (in this proposed) converter due to two primary devices (switches S1 and S2) with common ground to supply. Fixed frequency duty cycle modulation (100k Hz) with source voltage (12V) is used to design proposed converter to regulate the out-put. This topology yields high efficiency through low circulating currents, zero current switching (ZCS) and low-current switching of the primary side devices, ZVS of the secondary side switches, and in the majority of switching cycle direct power transfer to the load. An active-clamped circuit is also used to reduce the voltage spike on the power switches for raising the system reliability. The designed converter has been simulated using Simulink Model (Matlab-Software) tools. Simulation results for input voltage Vin = 12 V, output voltage Vo = 300 V, output power Po = 250W, device switching frequency fs = 100 kHz are verified through the output waveforms which shows better performance of the system. Keywords-Current-fed converter, Push-Pull DC-DC converter, soft-switching, ZCS/ZVS, EVs, Active-clamped, Matlab-Software
SECURITY IMPROVMENTS TO THE DIFFIE-HELLMAN SCHEMES

The Diffie-Hellman key agreement protocol and the Diffie-Hellman encryption/decryption cryptosystem are historical the firstly defined Public key cryptosystems that enables communicating parties over unsecure communication channel to agree upon a shared secret key and to encrypt /decrypt messages. In praxis Diffie-Hellman key agreement is very often used as part of security protocols or security standards to secure data over public and communication systems, thus the security of the Diffie-Hellman is critical because any weaknesses can lead such systems to become vulnerable against attacks. This paper introduces a security improvement that makes the Diffie-Hellman key agreement and encryption scheme more secure against attacks, such as the known plaintext attacks, it suggests the use of randomized parameter in both schemes, this will allows to produce a new shared secret key each time a communication session is build and to generate different encryption messages for all kinds of messages even for same message, thus making the Diffie-Hellman more secure compared with the basic version of the Diffie-Hellman.
Privacy Protection based on Trust Level of nodes in MANET

— The disparity with conventional networks, mobile ad hoc networks usually do not provide on-line access to trusted the system or to centralized servers and they exhibit frequent partitioning due to link and node failures. For these reasons, usual security solutions that require on-line trusted authorities are not well suited for securing ad hoc networks. In this paper, we propose trust based an unobservable secure on demand routing protocol that achieves content unobservability by employing
An Efficient Cryptography Analysis of Propp Wilson Algorithm for Dynamic Resource Allocation in Cloud Computing

----Cloud computing is emerging as a critical information communication technology and a new computing paradigm; it has a heavy impact on human life in the future. This computing model enables a suitable on-demand network access of configurable computing resources such as servers, networks, storage, services and applications. Allocating resources dynamically for different servers is one of the most important processes in cloud computing. Dynamic resource allocation is a general strategy to control the interferences and enhance the performance of wireless networks. The essential thought behind this allocation is to utilize the channel more efficiently by sharing the spectrum and reducing interference Propp-Wilson algorithm has been proposed in this paper and analyzed with cryptography. It is also compared with skewness algorithm using Cloud Simulator (CloudSim) in terms of performance metrics such as network throughput, response time and latency.
Clustering Data Streams Using K-Means Based on Shared Density between Micro-Clusters

: In recent years,data stream clustering gets more focus in the literature.Data stream resist many more challenges on clustering because of its memory usage and processing speed.Data stream can be summarize in real time with an online process which is called as micro-clusters.Micro clusters are summation of matter having large amount of items so as to constitute new definite state of matter which shows local density estimates in specific area by muster the information of many data points.In this paper,we present two stage clustering, in first stage K-means ,to enhance the performance and scalability.K-means clustering aims to minimize thedistance of objects from the centroid of each group.In second stage,DBSTREAM micro-clustering,implements a simple density based stream clustering algorithm that assigns data points to micro-clusters with a given radius and implements shared density based reclustering via a shared density graph.The graph having density information is then utilized for reclustering based on actual density between adjacent micro-clusters.In this way, shared desity graph very helpful for recognizing the huge data stream clustering.