Miracle-dz/UniFAR-FTUs huggingface dataset:
Database Intrusion Prevention Cum Detection System with Appropriate Response

Web based applications such as search engines, web mail, shopping carts and portal system are extensively used nowadays. Such technological advancement had not only led enterprises to develop it for being proficient but at the present they are heavily dependent on it. The attackers knowing increase in availability of such services are trying to search weaknesses in the system to gain access and perform malicious activities. Most intrusions are committed from within the organization by employees. That’s why defending database against both internal and external attacks is becoming more vital. Database Intrusion Detection System can be deployed to detect potential violations in database security and to minimize the risk of attacks. In this paper, we have explored about the various vulnerabilities to database, the different types of attacks and the existing intrusion detection techniques for database system. The architecture of Database Intrusion Prevention cum Detection System with appropriate Response has also been proposed. The proposed architecture uses Genetic Algorithm for intrusion detection.
IMPACT OF FRINGE BENEFITS ON JOB SATISFACTION IN MINING AND CONSTRUCTION COMPANIES IN INDIA

46 editor@iaeme.com International Journal of Marketing and Human Resource Management (IJMHRM) Volume 6, Issue 3, Sep-Dec (2015), pp. 46-67, Article ID: IJMHRM_06_03_006 Available online at http:// http://www.iaeme.com/currentissue.asp? JType=IJMHRM&VType=6&IType=3 ISSN Print: ISSN 0976 – 6421 and ISSN Online: 0976 – 643X © IAEME Publication ___________________________________________________________________________
Translational correlates, including outcome for patients with ER-/PR-/HER2- (triple negative (TNeg)) disease from N0234, a phase II trial of gemcitabine and erlotinib for pts with previously treated metastatic breast cancer (MBC)

1071 Background: N0234 is a phase II trial of gemcitabine at 1000 mg/m2 days 1 and 8 of a 21 day cycle and erlotinib at 150 mg daily in patients with previous therapy with either an anthracycline or a taxane for MBC. A partial response (PR) rate of 17% has been reported (ASCO 2005). Recent information suggests that over-expression of the EGFR pathway is frequent in patients with TNeg MBC. Methods: Tissue and serum were obtained for translational studies of ER, PR, HER2, and proteins related to EGFR pathway on tissue using immunohistochemistry; CK19, mammoglobin, and TTK on circulating tumor cells (CTCs). Markers were evaluated centrally, blinded to patient outcome. Complete data were available in 57 of 59 eligible patients; 20/57 patients (pts) were TNeg. Results: A PR rate of 25% and clinical benefit rate (PR + stable disease > 6 months)of 25% was observed in TNeg pts as compared to a PR rate of 14% (p = 0.30) and clinical benefit rate 22% (p= 0.75) for non-TNeg pts. Median progression free survival 72 d.
Direct Methanol Fuel Cell: A Review

Direct methanol fuel cell (DMFC) is considered as a highly promising power source. It is based on polymer electrolytes membrane (PEM) fuel cell technology. It poses a number of advantages such as a liquid fuel, quick refueling, low cost of methanol and the compact cell, design making it suitable for various potential applications including stationary and portable applications. DMFCs are also environmental friendly. Although carbon dioxide is produced, there is no production of sulphur or nitrogen oxides. The most important are the low power density caused by the slow electrochemical methanol oxidation at the anode and methanol crossover through PEM, which is responsible for inhibiting the activity of the cathode catalyst as well. With the eventual goal of improving the overall performance of the DMFC, this study has been concerned with an investigation of the issues and effect of various parameters on its performance.
Performance Evaluation of IEEE 802.11 Distributed Coordination Function (DCF) in a Multi-Rate WLAN

-IEEE 802.11 is the most important standard for wireless local area networks (WLANS). This paper presents a performance evaluation of IEEE 802.11 Distributed Coordination Function (DCF) in a multi-rate WLAN. We studied how throughput and delay varies with the distance of transmission in a multi-rate WLAN and the result was used to compare that of single rate WLAN. From the analysis it was observed that that a higher throughput and a lower delay was achieved when a multi-rate WLAN is used than when single rate is used.
An efficient Task scheduling method in a Cloud computing Environment using Firefly Crow Search Algorithm (FF-CSA)

: Cloud is a collection of interconnected computers which varies from personal computer to servers. It offers huge amount of storage and increased computing power to the user applications via internet. In cloud computing, task scheduling is an important issue which needs to be managed in a better way. Task scheduling assigns user tasks to the suitable Virtual Machines in order to attain Quality of Service (QoS) parameters. Optimization algorithms can be used to solve Non-deterministic Polynomial (NP) hard problem like Task scheduling. In this paper, Crow Search algorithm is combined with Firefly algorithm to improve the global search capability. The proposed algorithm minimizes the makespan and maximizes the throughput of the cloud system. Crow search algorithm is used to enhance the global optimization of the Firefly algorithm. The proposed algorithm results perform higher than the Crow search algorithm and Firefly algorithm results.
Approach for Big Data Mining in Hadoop Framework: A Survey

: Data mining is the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies as well as research focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. Frequent Itemset Mining is one of the classical data mining problems in most of the data mining applications. It requires very large computations and I/O traffic capacity. Also resources like single processor’s memory and CPU are very limited, which degrades the performance of algorithm. In this paper we have proposed one such distributed algorithm which will run on Hadoop – one of the recent most popular distributed frameworks which mainly focus on mapreduce paradigm. The proposed approach takes into account inherent characteristics of the Apriori algorithm related to the frequent itemset generation and through a block-based partitioning uses a dynamic workload management. The algorithm greatly enhances the performance and achieves high scalability compared to the existing distributed Apriori based approaches. Proposed algorithm is implemented and tested on large scale datasets distributed over a cluster.
EEG Signal based Sleep Detection using PCA and Neural Network

– The electroencephalogram (EEG) is the most common tool used in sleep research. This unit describes the methods for recording and analyzing the EEG. Detailed protocols describe recorder calibration, electrode application, EEG recording, and computer EEG analysis with power spectral analysis. Computer digitization of an analog EEG signal is discussed, along with EEG filtering and the parameters of fast Fourier transform (FFT) and power spectral analysis. Sample data are provided for a typical night’s analysis of EEG during NREM (non-REM) and REM sleep.
Selective Spectrofluorimetric method for the Determination of Valacyclovir in bulk and tablets through Derivatization with O- Phthalaldehyde in presence of 3-Mercaptopropionic Acid

A new, selective and sensitive spectrofluorimetric method was developed and validated for the determination of valacyclovir via derivatization with o-phthalaldehyde in presence of 3-mercaptopropionic acid in alkaline medium. The resulted derivative has a strong blue fluorescence that was measured at 452 nm after excitation at 336 nm in aqueous solution. The reaction conditions were carefully studied and optimized. Under the optimum conditions, the fluorescence intensity was linear over a concentration range of 0.40 – 2.00 g/mL (R 2 = 0.9998) with a detection limit of 0.020 g/mL. The proposed method was fully validated and effectively applied to the analysis of valacyclovir in pure form and tablets. Statistical comparison of the results obtained by the proposed and reference method revealed no significant difference in the performance of the two methods regarding the accuracy and precision respectively. A proposal for the reaction pathway with o-phthalaldehyde was postulated.
Implementation of Lossless Huffman Coding: Image compression using K-Means algorithm and comparison vs. Random numbers and Message source

---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - In this research paper, the analysis of Huffman coding to do compression using MATLAB programming software in three ways such as (1)Huffman coder to do the compression for the source of the 5 random number assumptions for A = {a1, a2, a3, a4, a5}, with p(a1)=p(a3)=0.2, p(a2)=0.4, and p(a4)=p(a5)=0. Before compression, assume that each letter takes 3 bits to transmit. Performance metrics used as to compute the entropy, the theoretical average word length after compression, and compression ratio. (2) Huffman coder to do the compression for the message source which lies in the 26 English letters. Its probabilities of occurrence are assumed to be taken randomly. Before compression, assume that each letter takes 5 bits to transmit. (3) Image compression is applied for lossless Huffman coding using K-Means algorithm for default threshold of 0.2 of block size ’M’ and codebook size ‘N’ to decompress it. The following performance metrics used as to compute the entropy, the theoretical average word length after compression, and compression ratio for three different ways to see which one of the way is better. Also, compute the actual average word length for the message, “The process of using the panchromatic band to improve the low spatial resolution and preserve the spectral information is called pansharpening. ” In this research paper, performance metrics for three different ways notifies that more the compression ratio of Huffman coding , the lesser will be the entropy and average length as by if increasing the threshold value or not. In addition, the Huffman coding using random numbers show less entropy result as compare to Message display using 26 alphabet characters, and image compression using K-Means algorithm.
A Study to Identify the Influence of Employee Issues in Implementation of Lean Manufacturing In Small and Medium Scale Manufacturing Organisations in India

Lean manufacturing is an effective tool to face the high competition among Small and Medium Enterprises (SME) due to the emergence of globalisation and advancing technologies. It focuses on improving the productivity of the organisation by eliminating various wastes. Like any new philosophy, for implementing Lean manufacturing, the management will have to overcome numerous barriers. Any improvement in an organisation will be implemented through employees. Employee issues can act as one of the barrier for lean implementation. This paper studies the employee issues to be faced by the management while implementing lean. The data was collected through questionnaire survey and 128 responses were collected from owners, managers and supervisors of SME’s. The data was collected and the reliability was assessed using SPSS. This study identifies various significant variables that are influenced by these factors and ranked them with respect to their importance.
AN EXPLORATORY STUDY OF ENTERPRISE RESOURCE PLANNING IMPLEMENTATION ISSUES IN MANUFACTURING AND SERVICE INDUSTRIES OF NORTH-KARNATAKA

Globalization has literally transformed the way of carrying out business, industries irrespective of the nature and size are striving hard to sustain and stay ahead in the competition. Prior to globalization 5M‟s namely machines, materials, manpower, methods and measures constituted as the vital resources of any organization. With the advent of information technology another resource was included along with 5M‟s which is known as „information‟. Industries should be equipped with all these resources to stay in tune with the global competition and succeed in the same. As a result the industries are adopting different tools to keep abreast with technological advancements; one among them is Enterprise resource planning (ERP). ERP implementation project is much more than any IT project. ERP results in integration and automation of different business processes and provides a common database across the enterprise. It requires business process of an organization to be matched with the ERP package selected. A number of issues need to be focused during and after implementation for the success of the project. The main purpose of this study is to identify the parameters affecting ERP implementation project. An instrument (questionnaire) was developed and sent to manufacturing and service industries of North-Karnataka who have implemented ERP. A total of 232 responses were used for analysis and Exploratory Factor Analysis (EFA) SPSS 16.0 was used for data analysis which identified 7 factors crucial for ERP implementation.
The Impact of Human Capital on Economic Growth in the SADC Region

This paper analyzed the impact of human capital on economic growth in Southern African Development Community (SADC). GDP per capita was linked to health and educational capital while taking into account the role of labour force and physical capital. The study used panel data from thirteen SADC countries for the growth periods 1990 - 1995, 1995-2000 and 2000-2005. The findings show that education capital had a positive statistically significant effect on GDP per capita whilst health capital had a positive but statistically insignificant effect. Making quality education accessible to all is recommended to policy makers. Keywords: Economic growth, health capital, education capital, labour force
Comparative Evaluation of the Antimicrobial Activities of Cashew (Anacardium occidentale), Neem (Azadirachta indica), Guava (Psidium guajava) and Bitter-leaf (Vernonia amygdalina) chewing sticks and Herbal Toothpaste against Streptococcus mutans

The comparative study on the antimicrobial activity of aqueous and ethanolic extracts of four chewing sticks (Anacardium occidentale, Azadirachta indica, Psidium guajava and Vernonia amygdalina) and two herbal tubes of toothpaste (Darbur® and Macleans®) against Streptococcus mutans were evaluated in this study. The preliminary phytochemical screening of ethanolic extract of cashew and neem miswaks (also known as chewing sticks or teeth cleaning twigs made from plants) revealed the presence of alkaloids, steroids, saponin, tannins, flavonoids and carbohydrate. Aqueous extract revealed the presence of saponin, alkaloids, steroids, and carbohydrates for cashew miswak while flavonoids, alkaloids and carbohydrates were revealed for neem miswak. There was no antibacterial activity observed against Streptococcus mutans by aqueous extracts of Vernonia amygdalina, Azadirachta indica and Anacardium occidentale miswak. The ethanol extract of A. indica had a mean zone of inhibition of 19.6±0.9 mm at 40 mg/ml compared with ethanol extract of A. occidentale 9.3±0.6 mm at the same concentration. Better antibacterial activity was observed for aqueous extract of Psidium guava compared to the ethanolic extract of the same plant. There was a significant difference (P < 0.05) between the activity of Macleans® and Darbur® herbal toothpaste with the mean zone of inhibition being 27.3±0.9 mm and 25.7±1.5 mm. The minimum inhibitory concentration and minimum bactericidal concentration values observed for ethanolic extract of neem and cashew were 0.625 mg/ml and 2.5 mg/ml respectively while that of herbal tubes of toothpaste examined was 0.313 mg/ml. There was a significant difference (P < 0.05) between herbal toothpaste and nature’s miswak. The herbal toothpaste used in this study had a much better antibacterial activity than the chewing sticks.
Modern Innovative Practices And Its Impact On Teacher Education

Teacher education is a program related with teacher proficiency and competence that would make them competent enough to face new challenges in the education. Now a days the field of education is not only limited to books but has broadened in various new horizons. Development and changes in education have affected teacher education necessitating review and reforms. It demands understanding with investigative minds, assimilating required transformations, accommodating and responding to the universal needs. Teachers have to be innovative, should have the ability to think beyond the boundaries and create something which is different from that which already exists. There is a need of training teachers with new perspectives as the outer world is in the classroom and schools are opening to the world. And it starts from their training institutions. The preservice and in-service teacher education programs have shown paradigm shift with its emphasis on globalization and individualization. The main purpose of this paper is to indicate main changes that has incurred in teacher education in India and also provide an overview of trends, reforms and innovations in teacher education (integrated teaching, teacher curriculum and teacher innovations). It also discusses about the various practices that can be included along with the need of teacher education program to be innovative and various practices that can be included. It has been recognized that teacher education program should be structured and modified in such a way that enables them to respond dynamically to the new problems and challenges in the field of education. Only then teacher can help in national development. Modern Innovative Practices And Its Impact On Teacher Education Paper ID IJIFR/V4/ E1/ 035 Page No. 4916-4921 Subject Area Education
An Enhanced Energy Efficient Low Energy Adaptive Clustering Hierarchy (LEACH) Protocol for WSNs

— In this analysis work, an intelligent based energy-efficient routing protocol for Wireless sensing Networks (WSNs) is advised. The sensing element nodes are divided into four logical regions on the premise of their location within the sensing field. Base Station (BS) is installed out of the sensing space and a intelligent node at another sensing space. If the space of a sensing element node from base station or intelligent node is less than predefined distance threshold, the node uses direct communication. The remaining nodes are divided into 2 equal regions whose distance is more than the threshold distance. Cluster heads (CHs) are selected in every region that is independent of each other region. These CHs are selected on the premise of probability. The performance of our protocol is compared with LEACH (Low Energy Adaptive Clustering Hierarchy)[1]. Performance is analyzed and compared results show that our projected protocol perform well in terms of energy consumption, network period and leads to less global cost .
Cross Layer Multi Metric Approach for Resource Estimation and Optimization for Cloud Radio Access Network

-Radio access technology is conventionally divided into cells with a base station at the centre of each cell servicing mobiles within the cell. A mobile can communicate with more than one base stations belonging to more than one cells in its proximity. In conventional networks, the decision to service a mobile is taken care by the base stations. As the number of mobiles and load increases, the communication and computation overhead at the base station increases exponentially. Due to limited processing capabilities of the edge base stations in comparison to core network, a significant amount of latency is induced in the network for the service decisions like handoff, uplink power management, bandwidth allocation and QOS provisioning. In order to solve this problem, various past works have proposed different techniques that can optimize the service and decision process.
ICP- AAS Analysis for Heavy Metals in Avicennia officinalis

In the present study, heavy metal pollution and accumulation was investigated in an important mangrove plant, Avicennia officinalis grown in the polluted sites of Kanjurmarg creek, Mumbai. This creek is a location of discharge of influent and waste of some domestic industries. The analysis was done in leaves and stem of the plant as well as in water and soil for the heavy metals like Zinc ( Zn), Copper (Cu), Lead(Pb), Cadmium (Cd) and Arsenic (As) using Inductively Coupled Plasma Atomic Absorption Spectroscopy to trace out the extent of their deposition. The results obtained indicated the presence of Zn in exceeding limit of MLRL thereby alerting high environmental risk. Cu, Pb was detected below the permissible limit. Cadmium detected below the quantity MLRL level however; Arsenic was not detected in any sample. The bioaccumulation of Zn was estimated as 7.091 ppm in the stem. The leaf of Avicennia officinalis indicates 0.196 ppm quantity in the sample. The polluted soil showed 4.607 ppm of Zn content whereas in polluted water sample it was 0.002 ppm. No content of Cu and Pb were traced in the polluted water. The highest estimate for Cu was observed as 1.248 ppm in Stem, 0.034 ppm in the leaves and 1.618 ppm in polluted soil. The Pb content was 0.481 ppm in stem, 0.03 ppm in the leaves and 1.21ppm in polluted soil. From present studies it is confirm that Avicennia officinalis shows accumulation of Zn, Cu, Pb and Cd. The estimate of Zn indicated exceeding level of content when compared with MLRL (Maximum Level Recommended for Livestock) limit and rest of heavy metals below the MLRL. From study it is confirmed that heavy metal concentrations in the studied plant indicates toxic level of the food chain contamination related to Zinc. © 2015 Universal Research Publications. All rights reserved
Texture Segmentation: Different Methods

—Image Segmentation is an important pixel base measurement of image processing, which often has a large impact on quantitative image analysis results. The texture is most important attribute in many image analysis or computer vision applications. The procedures developed for texture problem can be subdivided into four categories: structural approach, statistical approach, model based approach and filter based approach. Different definitions of texture are described, but more importance is given to filter based methods. Such as Fourier transform, Gabor, Thresholding, Histogram and wavelet transforms. These filters are used to VisTex images and Brodatz Textures Database. The main objective of this paper is to study different methods for texture segmentation.
Implementation of CAVLD Architecture Using Binary Tree Structures and Data Hiding for H.264/AVC Using CAVLC & Exp-Golomb Codeword Substitution

- Data hiding is necessary in the encrypted video to maintain security and privacy. This paper presents, a novel scheme of data hiding in the encrypted version using CAVLC & Exp-Golomb codeword substitution and architecture to minimize memory space in CAVLD of H.264/AVC using Binary tree Structures. To solve the problem of decoding a great number of syntax elements based on look-up tables, an efficient decoding has been designed using binary tree structures. Experimental results have demonstrated the feasibility and efficiency of proposed scheme.