bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using Relational Database Model in Cloud Computing
Authors: Mocean Loredana , Bresfelean Vasile Paul 
Published: May 2018

The advent of digital systems for the production and transmission of information decisively influences human progress and represents the future in any field of social life. In order to survive, organizations must correlate the objectives to the new trend of the society based on information, deeply marked by globalization. In recent years new computational paradigm were proposed and adopted. These include Cloud computing. Together with the stabilization of technologies related to Cloud computing, SQL databases have become more attractive due to native support for scalability and distributed architecture and the fact that many of these can be offered as services. The paper presents a few important aspects about cloud computing and proposed a new database designed to be implemented in cloud.Â We offer a new model and an example of implementing in Romanian medicine[1].Â [1] This is an extended paper of the article presented at The 15th International Conference on Informatics in Economy, Cluj-Napoca, 2016.
ENHANCED DYNAMIC RESOURCE ALLOCATION SCHEME BASED ON PACKAGE LEVEL ACCESS IN CLOUD COMPUTING : A REVIEW
Authors: Kaur Manpreet , Singh Dr. Rajinder 
Published: May 2018

Cloud computing is Internet based development and use of computer technology. It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. Scheduling is one of the core steps to efficiently exploit the capabilities of heterogeneous computing systems. On cloud computing platform, load balancing of the entire system can be dynamically handled by using virtualization technology through which it becomes possible to remap virtual machine and physical resources according to the change in load. However, in order to improve performance, the virtual machines have to fully utilize its resources and services by adapting to computing environment dynamically. The load balancing with proper allocation of resources must be guaranteed in order to improve resource utility.
ENHANCING JOB ALLOCATION USING NBST IN CLOUD ENVIRONMENT: A REVIEW
Authors: Ashima Ashima , Jyoti Mrs Navjot 
Published: May 2018

Cloud computing is a vigorous technology by which a user can get software, application, operating system and hardware as a service without actually possessing it and paying only according to the usage. Cloud Computing is a hot topic of research for the researchers these days. With the rapid growth of Interne technology cloud computing have become main source of computing for small as well big IT companies. In the cloud computing milieu the cloud data centers and the users of the cloud-computing are globally situated, therefore it is a big challenge for cloud data centers to efficiently handle the requests which are coming from millions of users and service them in an efficient manner. Load balancing is a critical aspect that ensures that all the resources and entities are well balanced such that no resource or entity neither is under loaded nor overloaded. The load balancing algorithms can be static or dynamic. Load balancing in this environment means equal distribution of workload across all the nodes. Load balancing provides a way of achieving the proper utilization of resources and better user satisfaction. Hence, use of an appropriate load balancing algorithm is necessary for selecting the virtual machines or servers. This paper focuses on the load balancing algorithm which distributes the incoming jobs among VMs optimally in cloud data centers. In this paper, we have reviewed several existing load balancing mechanisms and we have tried to address the problems associated with them.
Implementation of Extemporaneous Preparation Using Bar Coding Technology
Authors: Bahmaid Najla Abdulbari 
Published: May 2018

Extemporaneous Preparation (Drug Compounding) - the creation of a drug product by mixing ingredients - is an important part of ensuring that medications are available to meet individual patient needs, the quality and extent of drug compounding have surfaced as important issues in recent years. For example, several compounding cases in the last several years have resulted in critical diseases and deaths, raising concern about observation to ensure the safety of compounded drugs.
This paper lays the groundwork for the development of Extemporaneous Preparation system. This system facilitates compounding process in systemic approach in the pharmacy of king Faisal Specialist Hospital and Research Centre -non profit tertiary care hospital- to prevent manual errors and improve patient safety and quality by using bar coding technology.
MOBILE SMART EMERGENCY RESPONSE SYSTEM FOR JEDDAH CITY
Authors: Al-Dhaheri Sahar Ahmed , Alhassan Amal , Alazahrani Weam , Alfadli Khadijah , Meccawy Dr.Maram 
Published: May 2018

Responding to disasters and crises is a crucial role for the government to ensure the public safety of society. Responding lies in the counter of crimes of civil or disorders, providing the urgent medical care to injured or sick people, and providing relief of natural and manmade disasters. Despite ongoing attempts to improve emergency response systems in Jeddah, Saudi Arabia, it still suffers from vulnerability. With the current development of the technology and internet of things (IoT), it became necessary to apply these techniques for improving emergency response systems in Jeddah. In this paper, we present Jeddah Smart Emergency Response System (JSERS) as a solution to improve the emergency response system in Jeddah using smart city technologiesØ² First, we discussed the problems related to the response to accidents and disasters and their history in the Kingdom of Saudi Arabia, especially Jeddah. Consequently, we described the proposed solution, followed by the architecture of the system. Following by the opportunities and the challenges of system implementation are discussed. Finally, a list of suggestions that supports this system implementation and deployment is reported.
Program Analysis For Database Injections
Authors: Ramsingh Chelsea , Centonze Paolina 
Published: May 2018

Today businesses all around the world use databases in many different ways to store sensitive data. It is important that the data stored stay safe and does not get into the wrong hands. To perform data management in a database, the language SQL (Structured Query Language) can be used. It is extremely crucial to prevent these databases from being attacked to ensure the security of the usersâ€™ sensitive and private data. This journal will focus on the most common way hackers exploit data from databases through SQL injection, and it presents dynamic and static code testing to find and prevent these SQL cyber attacks by comparing two testing tools. It will also present a comparative analysis and static/dynamic code testing of two SQL injection detection tools. Burp Suite and Vega will be used to identify possible flaws in test cases dealing with usersâ€™ sensitive and private information. Currently, there are no comparisons of these two open-source tools to quantify the number of flaws these two tools are able to detect. Also, there are no detailed papers found fully testing the open-source Burp Suite and Vega for SQL Injection. These two open-source tools are commonly used but have not been tested enough. A static analyzer detecting SQL Injection will be used to test and compare the results of the dynamic analyzer. In addition, this paper will suggest techniques and methods to ensure the security of sensitive data from SQL injection. The prevention of SQL injection is imperative and it is crucial to secure the sensitive data from potential hackers who want to exploit it.
Descriptive statistical analysis based on patients EEG energy in coma and quasi-brain-death state
Authors: Miao Yao , Cao Jianting 
Published: May 2018

In this paper, measure of descriptive statistical analysis based on EEG (electroencephalography) energy was proposed to evaluate coma and quasi-brain-death patients EEG. Firstly, 36 cases of EEG (coma: 19; quasi-brain-death: 17) were analyzed. Specifically, 60s EEG data of each case were randomly selected and processed to get energy data by Dynamic 2T-EMD (turning tangent empirical mode decomposition), then energy data for 36 cases of EEG obtained were grouped and analyzed by using descriptive statistical analysis, and finally results were displayed by visual method. Results show significantly that energy for coma patients EEG is higher than that for quasi-brain-death patients EEG. And the EEG energy data set for quasi-brain-death is relatively more concentrate.
Chaos Baker-based Image Encryption in Operation Modes
Authors: Alzain Mohammed 
Published: May 2018

This research paper study the application of chaos baker map for digital image encryption in different operation modes. The employed modes include the electronic code book (ECB), cipher block chaining (CBC), output feedback chaining (OFB), and cipher feedback chaining (CFB). The proposed method works by applying the chaos baker map in different operation modes for encrypting digital images. A group of tests were carried out to examine the impact of operation modes on chaos baker-based encryption. This is done using several encryption metrics like visual inspection, statistical measures, entropy measure, encryption quality measures, and noise resistance measures. Simulation results demonstrated the effectively of baker-based encryption in CBC mode.
Understanding and Elevating Web Practice Through Web Analytics Final
Authors: Chawla Swati , Singh Dr. Gurdev 
Published: May 2018

Web analytics is the measurement, collection, analysis and summarizing of internet data for purposes of understanding and optimizing web usage. To check the web analytics the website IJCT is considered. This paper is the first step to analyze the availability and performability of the site. Availability depicts that for how much time the system is up i.e. check the utilization of the system on which that site works.Â Performability is the method to analyze each and every module separately and clearly in an efficient manner. Availability and performability collectively check the reliability of the system to ensure the performance measurement of that system. Web analytics is not just a tool for measuring and depicting website traffic but can be used as a tool for business research and market research, as well as a means to check and improve upon the effectiveness and utilization of a web site .The tool used for the web analytics for this site is AWStats. AWStats is an open source Web analytics reporting tool, which used for analyzing the amount of data from Internet services such as web, streaming media, mail and FTP servers .This tool check the performance of the IJCT separately by dividing one month module to days in month, week in month ,hours in month ,contributionÂ of various countries, traffic generated etc. This paper deal with the securitization of IJCT for January month to indicate how many events and functionality occurs during surfing on this journal by various users on the Web. This critique helps us to identify the throughput of IJCT. Â Here it is clear that users do not actually read: instead, they download and upload the data. A study of different online journals defines that this website scored massive response instead of the short time span. It completely and efficiently elaborate the usage of the IJCT by stating user visited, number of visits,Â number of hits ,bandwidth and many more.
Code Comprehending Measure (CCM)
Authors: Singh Gurdev , Singh Satinderjit , Monga Monika 
Published: May 2018

Software complexity, accurately, plays a vital role in life cycle of the software. Many metrics have been proposed in the past like LOC, McCabes cyclomatic measure, Halsteads measures and cognitive measures. This paper proposes a new method to measure the software complexity, by not only taking into account the internal structure of the algorithm in terms of the total cognitive weights of the basic control structures but also by quantifying the flow of data between the various basic control structures and data volume factor (variables and perators) used within basic control structure. The preliminary tests show that this metrics is independent of the existing measures. Comparison with some existing measures has been done to prove the robustness of this new metrics.
A Study of Training and Development at Private Educational Institutions- with special reference to Malwa Region- Punjab
Authors: Kaur Rupinder , Prabhakar Niti 
Published: May 2018

This paper addresses the main issues of training and development for private sector particularly educational institutions. This Paper has been made to understand how training and development in private educational Institutions make a difference in the working style of employees. The involvement of the private sector to foster the improvement of the workforce can affect the entire economy. The operations of the companies in the formulation and implementation of the training is having its own potential to grow as a strategy. This provided opportunity to the professionals deserves an upgrading approach into their skills and to their careers. The paper is based on the authorâ€™s personal experience with more than 100 different training activities. The author has also had in-depth conversations with hundreds of employees and employers of private educational institutions.
Alternative Vidhi to Conversion of Cyclic CNF->GNF
Authors: Bansal Avinash 
Published: May 2018

In automata theory Greibach Normal Form shows that A->aV
n*, where â€˜aâ€™ is terminal symbol and Vn is nonterminal symbol where * shows zero or more rates of Vn [1]. Most popular questions, conversion of following cyclic CNF into GNF are:
Question 1 S->AA | a, A->SS | b
Question 2 S->AB, A->BS | b, B->SA | a
Question 3 S->AB, A->BS | b, B->AS | a [1]
To solve these questions, we need two technical lemmas and required one or more another variable like Z1. In these questions, we have cyclic nature of production called cyclic CNF. We have modified the same rule by which we get the more reliable answer with less number of productions in right hand side without using lemmas and any another variable. This above method can be applied on all problems by which we produce the GNF.
Content Based Image Retrieval using Texture, Color and Shape for Image Analysis
Authors: Sandhu Amanbir , Kochhar Aarti 
Published: May 2018

Content- Based Image Retrieval(CBIR) or QBIRÂ is the importantÂ field of research..ContentÂ Based Image retrieval has gained much popularityÂ in the past Content-based image retrieval (CBIR)[1] system has also helped users to retrieve relevant images based on their contents. It represents low level features like texture ,color and shape .In this paper, we compare the several feature extraction techniques [5]i.e..GLCM ,Histogram and shape propertiesÂ over color,Â texture and shape The experiments show the similarity between these features and also that the output obtained using this combination of color, texture and shape is better as obtaining outputÂ with a single feature
Green computing – The New Era of Energy Efficient Computing
Authors: Dhir Rupali 
Published: May 2018

Green computing is the study and practice of using computing resources efficiently. It aims to reduce the use of hazardous materials, maximize energy efficiency during the product's lifetime, and promote recyclability or biodegradability of defunct products and factory waste. The plan towards green IT should include new electronic products and services with optimum efficiency.Â Green computing strategies can help us to build a safe place for us to live in .If each one of us becomes successful in constructing a healthy environmental balcony for ourselves then trust us we can together make our mother earth a healthy and a happy place for us to survive here.
Evaluation of economic advantage for produced electrical energy usage by solar cell in compression with steam power plant in home in Isfahan city
Authors: Abounoori Abbas Ali , Javadi Shahram , Ahmadi Hassan , Gashti Hadi Parhizi 
Published: May 2018

The aim of this article is evaluation of economic advantage from using of solar energy (photovoltaic system) in compression with steam power plant in order to supply the electricity of Isfahanâ€™s household (2009 to 2011). For this reason, meanwhile the calculation of used electricity for each house in Isfahan city, the production cost for one kilo watt hour of electricity through two methods of steam power plant and photovoltaic system is estimated from the scale of equationâ€™s uniform annual cost. The result shows that application of photovoltaic system is inadvisable in Isfahan in now condition. It is considerable that due to increasing of electricity requirements and the limitation of fossil sources and the high pollution because of these sources, the usageÂ of resulted energy from steam power plant hasnâ€™t economic justify in the not too distant future.
INTEGRATED APPROACH FOR DEFECT DETECTION IN CERAMIC TILES
Authors: Sharma Meenakshi , Kaur Gurleen 
Published: May 2018

Quality control is an important issue in the ceramic tile industry. Price of ceramic tiles also depends on purity of texture, accuracy of color, shape etc. Considering this criteria, an integratedÂ defect detection and classification technique has been proposed which plays an important role in ceramic tiles industries to detect the defects and to control the quality of ceramic tiles.GLCM extracts theÂ texture features and these featuresÂ together with color features are used for analysis in classifiers such as SVM, KNN and Bayesian. Experimental results illustrated thatÂ every classifier gives highest accuracy with HSV.
OPTIMAL ALGORITHM FOR PREDICTING STUDENTS ACADEMIC PERFORMANCE
Authors: Kuyoro Afolashade , Goga Prof. Nicolae , Awodele Dr. Oludele , Okolie Dr. Samuel 
Published: May 2018

Machine learning has been successfully applied to numerous domains such as pattern recognition, image recognition, fraud detection, medical diagnosis, banking, bioinformatics, commodity trading, computer games and various control applications. Recently, this paradigm is been employed to enhance and evaluate higher education tasks. The focus of this work is on identifying the optimal algorithm suitable for predicting first-year tertiary students academic performance based on their family background factors and previous academic achievement. One thousand five hundred (1,500) enrolment records of students admitted into computer science programme Babcock University, Nigeria between 2001 and 2010 was used. The studentsâ€™ first year academic performance was measured by Cumulative Grade Point Average (CGPA) at the end of the first session and the previous academic achievement was measured by SSCE grade score and UME score. Waikato Environment for Knowledge Analysis (WEKA) was used to generate 10 classification models( five decision tree algorithmsÂ -Random forest, Random tree, J48, Decision stump and REPTree and five rule induction algorithms â€“JRip, OneR, ZeroR, PART, and Decision table) Â and a multilayer perceptron, an artificial neural network function. These algorithms were compared using 10-fold cross validation and hold-out method considering accuracy level, confusion matrices and CPU time to determine the optimal model. This work will be taken further by designing a framework of predictive system based on the rules generated from the optimal model.
Web Service Negotiation Using AHP for Business Oriented Design of Service Level Agreements
Authors: Raju Mr. R. , Dhivya Ms. D. , Saranya Ms. R. , Abbinaya Ms. S. I. 
Published: May 2018

The service purchaser needs to stipulate for the service. The service contributor will afford the service to the purchaser.The powerful use of services to assemble business processes in service computing pressures that the Quality of Services (QoS) convene consumersâ€™ perspective. When Â manipulating the services, a service provider must Â set apart the quality of service levels that will be existing to the Â customers. Programmed web-based negotiation of Service Level Agreements (SLA) can assist in describing the QoS necessities of critical service-based processes. We put forward a trusted Negotiation Organizer(NO) structure that performs adaptive and intelligent mutual bargaining of SLAs between a service contributor and a service purchaser based on each partyâ€™s elevated level business necessities. We also define an algorithm for adapting the decision functions during an continuing negotiation to match with an opponentâ€™s offers or with simplified purchaser preferences. The NO uses intelligent agents to conduct the negotiation locally by choosing the most suitable multi criteria decision making system known as Analytic Hierarchy Process (AHP).
AN APPROACH TO GENERATE MST WITHOUT CHECKING CYCLE
Authors: Roy Sharadindu , Sarma Prof. Samar Sen 
Published: May 2018

Abstract: A minimum spanning tree of an undirected graph can be easily obtained using classical algorithms by Prim or Kruskal. MST generation is a NP hard problem. Now this paper represents an algorithm to find minimum spanning tree without checking cycle. Good time and space complexities are the major concerns of this algorithm. Running Time (complexity) of this algorithm = O(E*log V) (E = edges, V = nodes),which is obviously better than primâ€™s algorithm(complexity- E +Vlog V) . Â This algorithms operate at O(E * log(V)) time, though Primâ€™s can be optimized to O(E + V log V) by using specialized data structures(heap). For large graphs, these algorithms can take significant amount of time to complete. This algorithm is important in many real world applications. One example is an internet service provider determining the best way to install underground wires in a neighbourhood in order to use the least amount of wire and dig the least amount of ground.
Composite Lowpass Filter Realized by Image Parameter method and Integrated with Defected Ground Structures
Authors: Ghosh Chandan Kumar , Roy Arabinda , Parui Susanta Kumar 
Published: May 2018

An asymmetric DGS consisting of two square headed slots connected transversely with a rectangular slot is etched in the ground plane underneath a high-low impedance microstrip line.Â It provides a band-reject filtering characteristics with sharp transition. Thus, it may be modeled as m-derived filter section. Accordingly, T-type LC equivalent circuit is proposed and LC parameters are extracted. A planar composite lowpass filter is designed by image parameter method and implemented by different DGS units. A composite filter requires at least three filter sections, of which two m-derived sections and one constant k-section. In proposed scheme, one such m-derived section is directly replaced by proposed DGS unit, whose cut-off frequency is same as that of designed m-derived section. The other m-derived section implemented by proposed DGS unit divided into equivalent two L-sections which will act as a termination for impedance matching. A constant k-section has been realized by a dumbbell shaped DGS having same cutoff frequency. Here lumped LC parameters are directly replaced by the equivalent LC values of the DGSs and therefore, produce almost ideal filter characteristics by overcoming the limitations of microstrip technology.