Miracle-dz/UniFAR-FTUs huggingface dataset:
New Technologies as a Tool for Changing Academic Communities in the Global Context

Abstract It has been defined that knowledge society emerges at the end of the twentieth century as the socio-economic structure characteristic for developed societies in which unlike in industrial societies, the dominant sector of economy is services and the largest social group is the “men of knowledge”. It has been indicated that the development of the knowledge society is considered in connection with scientific and technological development and the expansion of new technologies as they determined is that we live in a globalized world, connected by a dense network of connections and intensive contacts both between the individuals and the authorities at local, regional, national and transnational or institutions level or between the institutions of various types, among which, of course, there are also educational institutions, including universities. It has been concluded that the accentuated thought should be read as a contemporary call for the implementation of the classic academic ideas in the conditions of the use of new technologies. Paraphrasing a metaphor of J. Morbitzer, modern university institutions should become intellectual arcs that will save humanity from the information deluge, the flood of endless, murky waves to safely bring it to the port of the society in which knowledge will be a resource for creative and innovative activities. A very important task is in the situation of current unprecedented acceleration of technical and technological progress not to lose the deep humanistic character of the educational process in which the modern technology should well serve a man and not contribute to its enslavement.
External Debt Burden and the Capital Accumulation of Nigeria: A Co Integration Approach (1980 - 2012)

The study investigated the impact of external debt burden on capital accumulation of Nigeria for the period of 1980 – 2012. The study used time series data on external debt burden, capital formation proxied by Gross Fixed Capital Formation (GFCF) and gross domestic product. It assumes that external debt helps in accumulating capital necessary to induce growth by restoring credibility to existing and new creditors. Data sourced for the study were from the Central Bank of Nigeria (CBN) statistical bulletin and economic report of various issues, Debt Management Office (DMO), International Monetary Fund (IMF) reports and World Bank Reports and publications, Ministry of Finance (MoF) and the National Bureau of Statistics (NBS). The study employed the econometric tools of OLS estimation procedure. Estimation results showed that there is a statistically significant impact of external debt burden on gross fixed capital formation and gross domestic product. The total external debt stock has a positive effect of about 68percent. In all, it was recommended that caution is a necessity if further borrowing is to be sort. Keywords : External debt, Gross Fixed Capital Formation, Gross Domestic Product
A Survey of Virtual Machine Placement Algorithms in Cloud Computing Environment

—In cloud computing, there are many strategies used for virtual machine (VM) placement. Objectives for VM placement are to reduce the number of physical machines required, VM allocation time and to reduce resource and power wastage. Various VM placement algorithms and the problems of existing techniques are analyzed and discussed here. The evaluation of those algorithms is given with the factors like live migration, performance, Qos, overload avoidance etc. After analyzing the issues in each method, finally a theme about the improvement over this scenario is also given for the future deployment
Data Hiding in Audio-Video using Anti Forensics Technique for Secret Message and Data in MP4 Container

Steganography is the method of hiding any secret information like password, text and image, audio behind original cover file. Original message is converted into cipher text by using secret key and then hidden into the LSB of original image. The proposed system provides audio-video cryptostegnography which is the combination of image steganography and audio steganography using Forensics Technique as a tool to authentication. The main aim is to hide secret information behind image and audio of video file. As video is the application of many still frames of images and audio, we can select any frame of video and audio for hiding our secret data. Suitable algorithm such as LSB is used for image steganography suitable parameter of security and authentication like PSNR, histogram are obtained at receiver and transmitter side which are exactly identical , hence data security can be increased. This paper focus the idea of computer forensics technique and its use of video steganography in both investigative and security manner. Finaly the most important aim is to cover secret knowledge behind image and audio of video file with victimization compression and de-compression techniques for compress the video size.
11. Dr.D.Nalini-Online (Back issue) (July 2016).cdr

Water is the primary life giving resource and is fundamental to human way of life. Its availability is an essential component in socio-economic development. Today a number of significant factors have an impact both on this resource and on managing water in integrated, sustainable and equitable manners. Pyrethroids act very quickly to produce symptoms of lost coordination and paralysis which are known as "the knockdown effect", and which are often accompanied by spasms and tremors that induce intense repetitive activation in sense organs and in myelinated nerve fibers. Deltamethrin is not mobile in the environment because of its strong adsorption on particles, its insolubility in water, and very low rates of application; However, it still presents risks to the ecosystem in which it is applied. Experiment was carried out on zebrafish embryos exposing to different concentrations of deltamethrin. The present study reveals that the viability decreases with increasing concentrations.
Socio-Semiotic Theory of Language and Translation

The paper intends to explore and discuss the necessity for a sociosemiotic approach in the translation. The theoretical basis for this approach is Halliday's sociosemiotic theory of language in which he stresses the unity of the text (language), context (linguistic or nonlinguistic), social structure, and in which he sees language as a unique system of signs with a social function, capable of expressing the meanings which all other sign systems can make (Halliday, 1978). We will, in short, be attempting to cast some light on the relationship between translation and semiotics. The relevance of the sociosemiotic approach to the translation is that it helps the translator to better understand the meanings (associative and designative) of words, sentences, and the fact that everything about the message has a meaning.
A Secure Development Scheme of the Hash Function and its Implementation in Public Key Cryptography for Maintaining the Privacy of Data in the Federated Cloud Computing

: FederatedCloud computing is an internet based technology where a large amount of resources are shared as a service among several cloud service providers. Privacy of Data is very critical issues in federated cloud computing. We propose hash function and its implementation in public key cryptography for maintaining the privacy of data in the federated cloud computing.
METHODS FOR EVALUATING SOFTWARE ARCHITECTURE-A SURVEY

In software systems, the software architecture evaluation methods play major role to increase the software quality attributes like maintainability and reliability in a system. Evaluation is used to test whether the architecture has met the desired quality requirements. Depending on the quality attributes, there are many methods and techniques came forward for evaluation of software architecture. This paper covers the fundamentals of 13 software architecture evaluation methods and compares them. The overall advantages and disadvantages of the evaluation methods are discussed here. The observation resulted from this paper is useful for the better understanding and design of software architecture evaluation methods.
Deformation of CAD Surface Models Using Programming Approach: A Review

— CAD models especially surface models are basically not easy to design and edit with 2-D based interfaces due to their three dimensional nature. Many researchers have presented their work on techniques for deformation of CAD surface models. Achieving greater control on the shape of deformation of surface models is thus a need. Many techniques are numerically not that much efficient and deforming complex surface models in real time is thus a difficult task. An effort is made here to review papers based on deformation of CAD surface models critically and thus provide solution to these complex problem. In this context model gains specific importance as it not only help in learning the factors associated with it but also will provide a direction for improvements. This paper makes an attempt to study various techniques to deform surface model in real time. The primary aim of this paper is to understand and enhance the important aspects. Thirteen models are reviewed in this paper. Each of them is representative of a different conceptual view about deformations. The organization of this paper is as follows: initially after highlighting the need for the present study, a generalized framework of the study is presented. This is followed by a brief discussion and a critical appraisal. Finally the agenda for future research is spelt out.
Feedback Analyzed Service Recommender System Using Mapreduce Framework

: The online service recommender system offers, retailers deliver a personalized shopping experience to thousands of customers simultaneously, matching thousands of catalog items to their individual interests. In an environment where service recommenders increasingly have the same service offers and devices, offering a superior customer experience is a priority to compete. To address the above challenges, the Feedback Analysed Service Recommender system is proposed. In this proposed system, Collaborative Filtering algorithm is used to generate appropriate service recommendations and use keywords to predict the recommendation to the users. To improve its scalability and accuracy, the Feedback Analysed Service Recommender is implemented in Hadoop platform, using MapReduce parallel processing paradigm. The Natural Language Processing is implemented to analyse the reviews of the previous user using WordNet Dictionary. Valence and Arousal is Implemented for calculating Ratings of the reviews. This paper explores Big Data manipulations from CSV (Comma Separated Values) through JAVA API enforces developer friendly access.
Eleven Level Cascaded Symmetrical Inverter for Grid Connected System

Multilevel inverter has emerged recently as a very important alternative in the area of high-power medium voltage energy control. This project present cascaded multi cell with separate DC sources. Multilevel inverters are promising they have nearly sinusoidal output-voltage waveforms, output with better harmonic profile, less stressing of electronic components. The conventional is a single-phase eleven level inverter for grid connected photovoltaic systems, with a novel pulse widthmodulated (PWM) control scheme . In a conventional concept to get the eleven level inverter output voltage using a four full bridge cascaded type inverter. The inverter is capable of producing eleven levels of outputvoltage levels from the dc supply voltage. The proposed inverter system is capable of producing eleven level of output voltage levels dc supply voltage by using five full bridge cascaded topology type inverter. In this project has used to three H-bridge inverter with different dc sources. The multi-level inverters promising the high performance with reduced EMI and harmonics. The proposed project is eleven-level inverter was designed and results were also shown in the thesis. This project is focused on minimizing the number of semiconductors devices for a given number of levels.The proposed concept can be implemented to eleven level symmetrical cascaded multi level inverter for grid connected system by using Matlab/Simulink software. Keywords-Multi level inverter; SPWM; harmonic analysis; power electronics;
A Genetic Approach to improve the Performance Index by Using Artificial Neural Networks

— The selection of connection weights in Artificial Neural Network (ANN) is a key issue. To initialize the network weights before training, usually weights randomization methods are used. The main aim of weights randomization techniques is to avoid sigmoid saturation problems that cause slow training. There are different weights randomization methods such as Manual, Automatic, optimized for uniform distribution of networks. In this study, a new hybrid model of Neural Networks together with Genetic Algorithm (GA) is used to initialize and optimize the connection weights of ANN so as to improve the performance of the Artificial Neural Network for the mass transfer function. This study reveals that the mass transfer enhancement in tube with entry region coil-disc assembly as an insert promoter by using ANN with Genetic Algorithm (GA) reported a high degree of accuracy.
Discovery of a Small Molecule in the Treatment Development of Pancreatic Cancer

Researchers at the State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry (CIAC), Chinese Academy of Sciences, have identified a promising smallmolecule APY606 in the treatment development of pancreatic cancer via attenuating the Ras-mitogen-activated protein kinase (Ras-MAPK) signaling cascade. This work collaborated with researcher at State University of New York, Stony Brook has been published in the scientific journal PLoS ONE [1].
Literature Review on Transient Stability

Power system stability is defined as the ability of power system to recover its initial steady state after any deviation of the power system during its operation. Present time power systems are being operated nearer to their stability limits due to economic and environmental reasons. Maintaining a stable and secure operation of a power system is therefore a very important and challenging issue. Transient stability has been given much attention by power system researchers and planners in recent years, and is being regarded as one of the major sources of power system insecurity. FACTS devices, transmission line design, AVR(automatic voltage regulators),load shedding, bundled conductors ,fast switching devices, high speed excitation system play an important role in improving the transient stability, increasing transmission capacity and damping low frequency oscillations. In this paper also factors affecting transient stability and how we can improve the transient stability are discussed.
GINGIVAL CREVICULAR FLUID LEVELS OF N-TELOPEPTIDE OF TYPE I COLLAGEN BEFORE AND AFTER NON- SURGICAL PERIODONTAL THERAPY IN GENERALIZED CHRONIC PERIODONTITIS SUBJECTS

Aim: To estimate the levels of N-telopeptide of type I collagen (NTx) in gingival crevicular fluid (GCF) in periodontally healthy, gingivitis, generalized chronic periodontitis subjects and after nonsurgical periodontal therapy for periodontitis patients along with its association with the clinical parameters. Materials and Methods: A total of 72 subjects were selected from the out-patient department of Periodontology, Meenakshi Ammal Dental College and Hospital. The subjects were categorized as: (Group I) Healthy, (Group II) gingivitis, and (Group IIIA) generalized chronic periodontitis, Group IIIA subjects after scaling and root planing, constituted Group IIIB. GCF samples were analyzed by competitiveEnzyme Linked Immunosorbent Assay (ELISA) for NTx. Results: There was a statistically significant reduction in PPD and gain in CAL in Group IIIB when compared to Group IIIA. Mean NTx levels were higher in group IIIA (23.42±11.41 nm BCE/L) compared to group IIIB (11.74±5.43 nm BCE/L) which was statistically significant. Positive correlation was seen between the clinical parameters and the NTx levels in Group IIIB. Conclusion: Cross linked NTx can be used as a bone specific “resorption marker” in periodontal diagnosis.
Scada Automation In Energy Management Systems

The paper outlines information about the SCADA techniques used by the author in the hardware models of a dynamic system developed by him. This includes the construction of a master unit for data acquisition and software to view the data of the Multi Function Meters from AC Network Analyzer—a dynamic model developed by him for the practical training to the engineers from the industry and engineering institutions for their laboratory. A critical literature review has been also presented covering a period of more than 15 years. The review indicates current application of SCADA to energy management systems, security and other aspects including the SCADA models as teaching aid.
Evaluation pharmaco-épidémiologique de la combinaison thérapeutique recommandée en prévention secondaire cardiovasculaire

En France, le syndrome coronaire aigu (SCA) represente environ 100 000 hospitalisations par an. Il est recommande, en prevention secondaire du SCA, un traitement combinant quatre classes medicamenteuses : betabloquants, antiagregants plaquettaires, statines, et inhibiteurs de l’enzyme de conversion ou antagonistes des recepteurs a l’angiotensine II(combinaison BASI). L’objectif de ce travail etait l’etude, en situation reelle de soin et en population generale, de l’utilisation et de l’effectivite de la combinaison therapeutique recommandee en prevention secondaire du SCA. Nous avons d’abord explore le potentiel represente par les bases de donnees medicoadministratives francaises pour cette evaluation. Nous avons ensuite etudie l’utilisation de la combinaison BASI : 42 % des patients etaient traites par la combinaison BASI en post-SCA et 57 % d’entre eux etaient encore traites a deux ans ; la persistance au traitement etait plus faible chez les patients âges, chez ceux ayant d’autres co-morbidites et chez ceux ayant eu un SCA de nature autre qu’un infarctus du myocarde.Nous avons enfin etudie l’effectivite de la combinaison BASI : la combinaison BASI etait la combinaison therapeutique la plus effective a long terme apres un SCA chez les patients avec antecedent d’insuffisance cardiaque ; chez les patients sans antecedent de ce type la combinaison sans betabloquants n’etait pas associee a une augmentation du risque.Ces resultats permettent de reconsiderer l’interet a long terme de l’ensemble de la combinaison BASI en post-SCA chez tous les patients et mettent en avant la necessite de renforcer les strategies d’education therapeutique.
Cyber-Security: The Use of Big Data Analytic Model for Network Intrusion Detection Classification

Cybersecurity is seen as a major player in the protection of Internet-connected systems, including hardware, software and data, from cyberattacks and other malicious crimes in today’s densely connected world-Internet of Things (IoTs). The divers challenge facing Internet users as private and business entities is being advocated as not enough hinderance to seamless interfacing of Mobile Computing and Internet Applications presently making waves. Technology such as Intrusion Detection Systems (IDS) application into cyber-security is an evolving computing mechanism designed as a counter-measure to incessant network threats and intruders. It is one of most reliable pro-defensive tools and has gained significance over time. Meanwhile network traffic data being generated within the context of enormous Internet users requires the application of big data analytical tools for its analysis. This paper, therefore, employs the use of big data analytical tools with its machine learning algorithm on an open-source data set-KDD’99. The full data set was used in the analysis. Predictive model was built in less than 5 minutes time with 99.91% prediction accuracy. Computational challenge and only 10% data set usage, which could only be accounted for in previous research were overcome. Therefore, IDS could be better designed with integration of this classification model result. Keywords: Cyber-Security, Internet of Things, Intrusion, Mobile, Big data, network DOI : 10.7176/CEIS/10-7-02 Publication date: November 30th 2019
A Data Mining based Model for Identifying of Spurious Behaviour in Water Utilization

:- Spurious(dishonourable) behaviour in drinking water utilization is a compelling problem facing water supplying companies and agencies. This behaviour results in a enormous loss of income and forms the highest percentage of non-technical loss. Finding competent analysis for identifying spurious activities has been an active research area in recent years. Intelligent data mining techniques can service water supplying companies to detect these spurious activities to decrease such losses. This analysis explores the use of two distribution techniques (SVM and KNN) to identify suspicious cheat water customers. The main encouragement of this analysis is to benefit Yarmouk Water Company (YWC) in Irbid city of Jordan to affect its profit loss. The SVM based approach uses customer load profile characteristics to display anomalous behaviour that is well-known to be interacted with non-technical loss activities. The data has been collected from the ancient data of the company billing system. The efficiency of the developed model hit a rate of over 74% which is better than the present standard prediction steps taken by the YWC. To expand the model, a opinion tool has been built using the develop model. The system will help the company to predict careful water customers to be authorized on site.
Ellipsoidal Features Extraction for Planetary Image Registration

Using greyscale texture features recently become a new trend in supervised machine learning crater detection. Need to be analysed image data preferably by automatic technique as the data is in huge amount. Automatic feature extraction method is proposed and utilised for earth remote sensing images. These are not always applicable to planetary data which is having low contrast and uneven illumination features. Proposed a new method which is unsupervised for different ellipsoidal feature extraction for planetary image registration. Approach is based on combination of various techniques including Hough Transform and watershed segmentation technique. This is mainly applicable for geometrically compact shapes rocks, craters, and other geological features.
An Intuition of the Necessitate of Column-Oriented Database Systems

In this paper, we are paying attention to the problem of poor performance of row-by-row data layout for the emerging applications, and evaluate the column-by-column data layout opportunity as a solution to this problem. There have been a variety of proposals for how to build a database system on top of column-by-column layout. These proposals have different levels of implementation effort, and have different performance characteristics. If one wanted to build a new database system that utilizes the column-by-column data layout, it is unclear which proposal to follow. This paper provides (to the best of our knowledge) the detailed study of multiple implementation approaches of such systems, categorizing the different approaches into three broad categories, and evaluating the tradeoffs between approaches.