bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural Framework for Measuring the Performance of Information Systems â€“ Case Study
Authors: Falih N. , Abouhilal A. 
Published: July 2024

Measuring the performance of Information System (IS) is considered as one of the main pillars of the IS governance in the company. Key performance indicators (KPI) are the most used tools for measuring IS performance. In this work, we propose a structural framework based on the extended ISO 194400 Meta-model that can provide a multiview meta-knowledge library, to enrich all the company dashboards for decision-making. In practice, we propose a case study in a Moroccan telecom company for deploying the proposed structural approach. We use especially Galois lattices in order to evaluate the synchronization level between some processes and key performance indicators as a contribution to measuring the performance of Information Systems.Â Â
Crime Prediction in the Era of Big
Authors: Ait El Bour Hicham , Amine Talhaoui Mohamed , Azzouazi Mohamed , Moulouki Reda 
Published: July 2024

Big data has become in recent years the fashion for all companies and academic entities. The appearance of this field of research and discussion on a global scale is due to the development of society where each individual alone produces a large size of data of several types including videos, text, audio, logs, database etc. that are structured or unstructured that even this individual alone cannot be found there. If we cite social media, for example, we find unimaginable data.The fight against crime remains a priority for all societies and deploys enormous human, financial and technological resources to minimize this scourge.If we can know where, who and when with sufficient time lag, we can reach a goal of â€œzero crimes". Hence the need for a crime prediction system.Â Â
Predictive Analytics as A Service on Moroccan Tax Evasion
Authors: Jihal Houda , Amine Talhaoui Mohamed , Daif Abderrahmane , Azzouazi Mohamed 
Published: July 2024

Tax evasion is a global problem in governments. It affects society by damaging public accounts and compromising government performance. The government must take a multidisciplinary approach to face this phenomenon. Analytics on big data enables government organizations to improve existing processes and operations and engage in entirely new types of analyses that werenâ€™t possible before. Predictive analytics combines the capabilities of machine learning, statistical analysis and data mining to forecast the future and allows tax authority to prevent tax fraud, reduce the cost of managing taxes and optimize public spending.The purpose of this paper is to predict income from direct Moroccan taxes based on the linear regression model as a first step in the fight of the tax evasion.Â Â
A Proposed Architecture for Real Time Credit Card Fraud Detection
Authors: Ounacer Soumaya , Ardchir Soufiane , Rachad Zahira , Azouazi Mohamed 
Published: July 2024

The world has known a huge evolution especially in the field of e-commerce. Owing to this technology, everything has become available to the user the thing that resulted in a significant increase of the credit card use. As a consequence, it has become the most popular tool for online payment transactions. Nevertheless, the risk of credit card transactions constitutes a major problem as it plays a crucial role in criminal activities. Thanks to e-commerce, the online payment does not require the physical card or the cardholder's presence. However, it is a two faced coin; anyone who knows the details of a certain card can easily make fraud transactions and the cardholder comes to know only after the fraud transaction is carried out. When it comes to security, all actors are affected namely the cardholder, the bank and the merchants. Hence, the urgent need for a powerful system that allows fraud transactions to be detected and processed in real time. In the work at hand, we are going to propose a system that "shields" the credit card from any kind of fraud. In other words, we intend to create a system whichÂ detects the fraud based on big data technology; precisely Apache storm and Machine Learning in order to minimize the latency and to process transactions data in real time.Â Â
Model End-To-End Integrated Quality Management
Authors: A. Nazarenko M. , A. Filippov A. , V. Ants V. , A. Baranova I. , Yu. Cheremukhina Yu. , S. Novikov MIREA A. 
Published: July 2024

In this work, a model of end-to-end integrated quality management is developed, based on a set of existing models of enterprise operation, performance assessment and customer satisfaction ratings. The developed model integrates quality assessments by key parameters with the help of fuzzy regulators, which allow specifying estimates described in natural language.Â Â Â
The Technology of Secure Data Processing in Production Systems Based on the Use of Special Microcontrollers
Authors: G. Magomedov. S. , . . 
Published: July 2024

The technology is proposed to provide secure processing of data in technological systems based on the use of special microprocessors. A variant of the architecture of such a microprocessor is presented, as well as data processing algorithms that allow efficiently solving problems of secure data processing. The basis for the protection of data processing is the use of algorithms based on the sets of residual number systems (RNS). In the operative memory of the microprocessor, not the number, but the sets of its modules, are stored and processed. Therefore, stealing an intruder of a modules set does not allow him to recover the required number. The encryption keys for each microprocessor are formed together with other ones in the framework of a subsystem controlling other microprocessors, as well as the server.Â Â
Shape of overvoltage waves arising at lightning strokes to overhead transmission lines
Authors: E. Usachev Aleksandr , M. Yuditsky Danil , S. Kashaev Rustem , M. Ba Boraik Abdulrahman 
Published: July 2024

This article shows the cause of arising overvoltage thunderstorm waves on overhead transmission lines (OTL) with nanosecond leading fronts. The algorithm is given to estimate the duration of the leading front in the case of back-flashovers from the tower to the phase conductors.Â Â
Development of Power Converter Digital Control System Using Psim, Matlab/Simulink And Digital Signal Processor Stm32f407
Authors: V. Talanov M. , V. Karasev A. , M. Talanov V. 
Published: July 2024

At present, the development of digital control systems based on a microcontroller is carried out using a variety of modeling systems such as, for example, Matlab and PSIM. Modern programming technologies allow to combine Matlab and PSIM to perform simulations to take advantage of both modeling systems. The present market offers evaluation boards with a powerful microcontroller, which supports different peripheral units and data exchange protocols and allows connecting to a personal computer [1, 2]. This article deals with the development of the modeling method in which the control system based on the STM32F407 microcontroller will control the mathematical model of the developed converter.Â Â
Extreme Learning Machine Classification of File Clusters for Evaluating Content-based Feature Vectors
Authors: Raad Ali Rabei , Malik Mohamad Kamaruddin , Jamel Sapiee , Kamal Ahmad Khalid Shamsul 
Published: July 2024

In the digital forensic investigation and missing data files retrieval in general, there is a challenge of recovering files that have missing system information. The recovery process entails applying a number of methods to determine the type, the contents and the structure of each data file clusters such as JPEG, DOC, ZIP or TXT. This paper studies the effects of three content-based features extraction methods in improving the classification of JPEG File clusters. The methods are Byte Frequency Distribution, Entropy, and Rate of Change. Consequently, an Extreme Learning Machine (ELM) neural network algorithm is used to evaluate the performance of the three methods in which it classifies the class label of the feature vectors to JPEG and Non-JPEG images for files in different file formats. The files are allocated in a continuous series of clusters. The ELM algorithm is applied to the DFRWS (2006) dataset and the results show that the combination of the three methods produces 93.46% classification accuracy.Â Â
Agile Processes Are the Factor of Competitive Advantage of Organizations
Authors: Rezapour Nasrabad Rafat , . . 
Published: July 2024

One of the important and basic reasons of using technology and relevant tools is creating speed and agility in the processes and current activities of organization with correct and exact management of affairs and higher productivity. By suitable tools, we can predict and meet the demands and a positive cycle of creating production and service (even before fulfillment of market needs) is established and this leads to the success in competition. In an agile process, all people, institutes and organizational processes as integrated by using an advanced technology interact effectively to fulfill the needs of customers. Indeed, agility means the ability and speed of action of an organization for rapid and simultaneous application and interaction of technology, employees and management via creating rapid communicative infrastructures in purposeful, efficient and planning accountability and continuous and unpredicted changes in the needs of customers and market environmental conditions with the timely detection of opportunities. In an agile process, technology, management and personnel of organization as purposeful and planned interact in a dynamic environment in terms of unpredicted changes for rapid response to these changes. In this mini review study, afterÂ review of the existing studies and electronic search in the local and international resources regarding the organizational agility, the researcher could explain theÂ structure of agile or process oriented organizations.Â Â
Scientific Substantiation of the Technology of Finely-Dispersed Metallurgical Sludge Bioconversion
Authors: S.D Polischuk , A.A Nazarova , D.G Churilov , G.K. Rembalovich , M.Yu Kostenko , I.S Arapov 
Published: July 2024

In the course of human activities large quantities of industrial wastes, unused by-products, remnants of raw materials, materials that completely or partially change their properties, accumulate in nature. On the other hand, one of the important problems is the remediation and increase in the yield of agricultural land, especially in central Russia. Numerous data on the use of sludge sediments in the United States and Europe in growing agricultural crops have given grounds for assuming that such wastes can be used in Russian agriculture. The aim of the research work is experimental confirmation in field conditions the effectiveness of using metallurgical sludge accumulations for the remediation of soil resources in agriculture and increasing the yield of agricultural crops, especially in central Russia. The conducted research allowed to make a conclusion about the effectiveness of metallurgical sludge as a potential component of agricultural fertilizers. As test crops, technical plants,sunflower and rape, were selected as objects suitable for the bioconversion of metallurgical sludge. Crops treatment with 10 % solution of sludge turned to be the most effective means. It resulted in the increase of the sunflower field germination by 7 %, plant weight by 27.7-33.4 %, plant height by 33.9 % and leaf area by 11.6 % compared to the control. Parameters of the vegetative and generative functions of rapeseed plants changed as follows: field germination increased by 4 %, plant height by 13.8-33.6 %, plant weight by 20.0-25.5 % and photosynthesis productivity by 33.7 %. Thus, metallurgical sludge can be considered as an effective stimulator of vegetative and generative functions of agricultural crops in relation to these soil and climatic conditions. The obtained biochemical and electron microscopic data convincingly indicate the possibility of including the components of the sludge in the physiological processes of plants, including as trace elements, which is the reason for the observed stimulation of plants growth and development.Â Â
Features of Applying Biological Preparations in the Technology of Potato Growing on Gray Forest Soils
Authors: D.V Vinogradov , O.N Terekhina , N.V Byshov , M.M4. Kryuchkov , N.I Morozova , O.A Zakharova 
Published: July 2024

The article offers an analysis of investigating some experimental potato plantations. Potato is a widespread agricultural crop, which is one of the main food and industrial crops in Russia. The complex conditions of the modern period necessitate the development of new technologies adapted to the modern conditions of land use. One of the most important problems of potato growing is the lack of knowledge of agro biological properties of modern cultivars and their response to the biological methods of potato growing. Identifying the most effective of them and the best ways to use them is an actual problem of modern agriculture.The results of field experiments indicate that biological preparations (Albite and Biocomposite-Correct) have a multifunctional effect on potato plants. As a result of these studies, some positive data were obtained which showed the effect of the preparations on the onset of potato development phases and on the yield increase of potato test varieties. The maximum yield increase was formed during complex treatment of Gala cultivar potatoes with Biocomposite-Correct and was 2.52 t/ha as compared with the control variant, and the highest yield increase of Ryabinushka cultivar was achieved with the complex treatment with Albite and amounted to 2.12 t/ha.Â Â
A Framework For Effective Processing Of Jobs In Hadoop
Authors: Mohanty Amarendra , P.Ranjana Dr. 
Published: July 2024

Â The main challenges in oozie based scheduling is high computing, high CPU usage and resource intensive. This leads to resource contention in production because it was not load balanced optimally.The objective of the proposed New Sql Server built Java based (NSSJ) Scheduling is to overcome some of the current challenges in the existing oozie based scheduling. It stores all the inventory information on SQL Server environment. SQL Server is preferred over Hbase, because at any given point of time, there were multiple threads hitting same inventory table to ensure transaction level processing. One can run or kill or put on hold any number of deamons or jobs at any point of time. This gives complete flexibility to the end user to load balance based on the number of jobs. It has auto restart feature when a task or job fails. It will try to attempt for one re-run, if it fails second time, it will put the job in abandoned state.Thus the proposed NSSJ scheduling load balances the resource optimally during production.Â Â
Segmentation the Tumor from the Brain Depending on the Colour
Authors: Hasan Dakheel Awfa , . . 
Published: July 2024

The objective of this study is to present a method that aids in the diagnosis of abnormality in brain due to tumors from MRI brain image whereby segmenting the brain tumor is done by using a novel algorithm that depends on the colour of the 2D image. Therefore, this work consists of three main stages, the first one is loading image into memory, and then the segmentation algorithm is applied. Finally, in order to obliterate the noise object, the 2D median algorithm is conducted. After applying the method the results which are obtained show better output to determine the tumor, simultaneously the diameter of the tumor can be calculated.Â Â
Absorption Resonance Energy Transfer Between Organic Dyes (Cumarin And Rohdamain )
Authors: Abdle Diam Wajeha , . . 
Published: July 2024

The spectral properties absorption of laser dyes (C480 & R610) mixture have been studied; this type of laser dye belongs to the coumarinoids and Xanthenes family, and has been dissolved Â in Â ethanol Â to Â prepare Â (1:1, Â 1:2, Â 1:3, Â 1;4, Â ratio) Â from Â Cumarin Â 480(C48): Rohdamin610 (R610) in (10-4 10-5 ,10-6 ) M/L concentration Â at room temperature. The achieved results pointed out to an increase in the absorptionÂ Â intensities with the increased concentration of R610 from(10-6,10-5 Â to 10-4Â Â M/L the same thing for C480 which are found in agreement with Beer â€“ Lambert law and theachieved Results pointed that the absorption peak are moving toward short wavelengths(BLUE SHIFT) when increasing the ratio of concentration.Â Â Â
Evaluating Extreme Value Rainfall Using Mixed Exponential Distribution with Advanced Weather Generator
Authors: O Noorshazwani , A Norzaida , A.H Syafrina 
Published: July 2024

Changes in rainfall regime is one of the factors that is used to determine the impact of climate change. Climate change substantially impacted human societies and the natural environment with the many occurences of extreme weather events, namely rainfall variation, floods, droughts and rainstorms. In tropical countries such as Malaysia, the occurrence of extreme rainfalls has become more common in recent decades. Advanced Weather Generator (AWE-GEN) which uses meteorological data as input has the potential in predicting extreme events. The aim of this study is to propose and integrate the mixed exponential distribution in representing rainfall intensity using AWE-GEN model and evaluate the ability of the newly developed model in simulating extreme rainfall. Parameters of mixed exponential distribution theoretically represent light and heavy rainfall. The study site is Kemaman, Malaysia which is often affected by flood. Model input uses historical meteorological variables of forty years (1975 - 2015) at hourly scale, specifically precipitation, air temperature, relative humidity and wind speed. Results indicate the AWE-GEN model with mixed exponential distribution is capable of generating rainfall series very well and also able in capturing extreme rainfall events. The estimated parameters obtained revealed that the wet hourly series at study site is mainly dominated by the heavy rainfall at short duration. The outcome of this study could potentially be used in providing invaluable input to authorities requiring detailed rainfall data for planning and forecasts purposes.Â Â Â
An Interview-Based Approach to Elicit User Interface Design for Web Applications
Authors: Atikah Shamat Nur , Sulaiman Shahida , Sudah Sinpan Jacline 
Published: July 2024

Elicitation of user interface design for Web applications is a process to gather precise information from users to aid software engineers in designing the user interface according to usersâ€™ wants and needs. There are several issues that are related to the user interface design if they do not fulfill usersâ€™ expectations. For instance, software engineers misunderstand what users need and lack of information from users about the requirements to design the user interfaces. Thus, the elicitation of user interface design is vital in order to reduce the problem especially for Web applications. This research proposes an interview-based approach to elicit user interface design for Web applications. A prototype tool has been developed to help software engineers elicit the user interface requirements from users precisely. The evaluation shows that the proposed approach has the possibility to reduce the misunderstanding in user interface design with the focus on input control elements.Â Â
Role of Dietary Sources of Unsaturated Fatty Acid on Growth Performance, Fat Deposition and Meat Quality of Broiler: A Review
Authors: Khatun J. , C. Loh T. , Akit H. , L. Foo H. , Mohamad R. 
Published: July 2024

The aims of this paper were to provide a comprehensive review of classification techniques and their alternative approaches in data mining. Classification is a data mining technique that assigns categories to a collection of data to aide in more accurate predictions and analyses. It is one of the several methods intended to make the analysis of very large datasets effective. The goal of classification is to accurately predict the target class for each case in the data. One of the classification approaches is the ensemble method. In recent years, the usage of ensemble method in medical application has been increasing. Not only in medical areas, it can also help researchers to solve modem problems in many fields like machine learning, data mining, and other related areas.Â Â Â
Artificial Neural Network Forecasting
Authors: Talib Bon Abdul , See Hui Hew 
Published: July 2024

Zero defect as a goal for the manufacturing sector especially when the factory engage in global market which the market is required a highest grade quality product. A defect will occur when it is fail to meet the intended design. Hence, defect prediction methods play an important role to forecast the number of product defect. For this study, Artificial Neural Network (ANN) used to forecast the product defect in furniture manufacturing in in order to develop a well suit ANN model for the product defect prediction and obtain an accurate prediction defect number for decision making. Colour defect as one of the product defect category. Therefore, data of colour defect was collected within eight (8) working hours for fourteen (14) days and the analysis process carried out by MATLAB R2015a application using the neural network toolbox. The neural network framework for the colour defect prediction was developed with the minimum error. The company is able to conduct prediction process with the framework and make a better decision based on the result in order to reach their goal.Â Â Â
Development of Smart Monitoring and Control System for Standalone Microgrids with PV Generation based on Everyday Power Consumption
Authors: Chun Kyunghan , Koo Bonhyeok , Lee Dongsu , Kim Bonghwan 
Published: July 2024

In this paper, we propose a development of smart monitoring and control (SMC) system for Microgrids (MGs) with photovoltaic (PV) generation based on everyday power consumption.Â Since their introduction, microgrid systems have attracted both the utility and public interest as they represented autonomous structures for generating, delivering, and distributing clean and sustainable electric energy to loads and/or utility grids. A microgrid system is generally defined as an independent combination of generating units, storage units, and loads, and can be interconnected to a utility grid as a single entity. We develop SMC for a microgrid with PV generation based on the everyday power consumption, so the microgrid can be operated within specification and prevented from the battery over-discharging. As a result, the battery lifetime also keeps longer.Â Â
Microstructure And Electrical Study Of Biopolymer Based On Methylcellulose For Solar Cells
Authors: M.S. Nurhaziqah A. , Q. Afiqah I. , A. Nik Aziz N. , Hasiah S. 
Published: July 2024

The purpose of this research is to study effect of the addition of a various wt% of manganese chloride (MnCl2) salt on the methylcellulose (MC) biopolymer electrolyte.Â The biopolymer electrolytes were prepared by using casting technique.Â It is also thoroughly characterized of microstructure and electrical properties of the samples by using Fourier transform-infrared (FTIR) spectroscopy, X-ray Diffraction (XRD), Electrical Impedance Spectroscopy (EIS) and Linear Sweep Voltammetry (LSV).Â Besides, the highest conductivity is sample MC:20wt%MnCl2 with value 0.74X10-6 Scm-1 measured by EIS.Â The sample also achieved the excellent power conversion efficiency which is 0.31%.Â It is augmented from the microstructure properties which are proved that the enhancement of the conductivity depends on the increment of the amorphous nature region and the complexation between MC and MnCl2 salt by XRD and FTIRÂ