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International Journal of Information Engineering and Electronic Business @ijieeb
Статьи журнала - International Journal of Information Engineering and Electronic Business
Все статьи: 626
Статья научная
The study observes the metadata identification and analysis for Document, Audio, Image, and Videos. The process uses MapReduce and Match Aggregate Pipeline to identify, classify, and categories for identification purposes. The inputs are FITS array results and processed in form of XML. The works consist of the extraction process, identification and analysis, classification, and metadata information. The objective is establishing the file information based on volume, variety, veracity, and velocity criteria as part of task identification component in Self-Assignment Data Management. Testing is done for all file types with the number of files and the size of the file according to the grouping. The results show that there is a pattern where the match-aggregate-pipeline has a longer processing time than MapReduce on a small block size, shown in a block size of 64 Mb, 128 Mb, and 256 Mb. But once the block size is magnified the match-aggregate-pipeline has faster processing time at 1024 Mb and 2048 Mb. The results have a contribution in the metadata processing for large files can be done by arranging the block sizes in Match Aggregate Pipeline.
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Map-Reduce based Multiple Sub-Graph Enumeration Using Dominating-Set Graph Partition
Статья научная
The purpose of this paper is to find all the instances of a given set of pattern graphs (sub-graphs) in a large data graph using a single round of Map-Reduce. For the simplest pattern graphs like a triangle and rectangle we propose the solution. This paper enumerates complex pattern graphs using the enumeration of simple pattern graphs. We proposed Dominating set based graph partition, it generates non-overlapped sub-graphs. Each sub-graph is processed by one machine in the cluster. We analyze both the communication cost and the total computational cost. Communication cost is reduced by using Map-Reduce based dominating set graph partition. At the same time Multiple pattern (sub-graphs) graphs can be enumerated with the same communication cost. The proposed method is not always superior to the conventional sub-graph enumeration, but in some cases involving large-scale data where this method wins, including (1) Adjacency list representation of the graph is the input (2) Number of partitions are decided based on the graph size. We experimentally show that our approach decreases significantly the computation cost, communication cost and scales the enumeration process with a large graph database.
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Measuring the Effect of CMMI Quality Standard on Agile Scrum Model
Статья научная
Agile development gets more appreciation from the market due to its flexible nature and high productivity. Scrum provides better management of the processes as compared to other agile modes. Scrum model has several features and strengths but still it lacks in engineering practices and quality. This research deals with the improvement of Scrum processes for better management and quality of software using the infusion of different practices from internationally renowned capability maturity model integration (CMMI) quality standard. Survey is used as a research design to validate the proposed framework. Statistical analysis shows that there is a profound effect on Scrum model due to the proposed research developing high quality software.
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Measuring the Performance of IT Management in Financial Enterprise by Using COBIT
Статья научная
In financial enterprise, electronic banking is an entirely financial enterprise integrated IT which is used for financial data transaction, human resources, and other important financial data management. It should be managed very well otherwise problem in data processing will bring harm to the enterprise. Data loss, transaction failure, and many others problems will bring a long term negative impact towards the enterprise. The presence of local state regulation issued by Bank Indonesia which requires financial institutions to audit electronic banking externally and internally is one of the reasons why this study is conducted. The methodology that used to measure the performance of IT management in a financial enterprise (e.g. Bank X) is the ones based on Framework COBIT 4.1. A mapping is done to make financial enterprise goals in line with COBIT purposes so the relevant domain will be gained to be able to do further assessment. From the questionnaire and interview done in Bank X, it was found that the maturity level average was 3-defined – IT management performance has developed until a phase where standard procedure and documentation process has taken place because of formal training for the users. But, the training was not fixed yet and as a result many shortages could not be detected maximally by the management although there was a policy created previously. The policy was not able to reach best practice level (i.e. level 5-optimized).
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Memetic Programming Approach for Floorplanning Applications
Статья научная
Floorplanning is a very crucial step in modern VLSI design. It dominates the top level spatial structure of a chip and initially optimizes the interconnections. Thus a good floorplan solution among circuit modules definitely has a positive impact on the placement, Routing and even manufacturing. In this paper the classical floorplanning that usually handles only block packing to minimize silicon rate, so modern floorplanning could be formulated as a fixed outline floorplanning. It uses some algorithms such as B-TREE representation, simulated annealing and adaptive fast simulated annealing, comparing above three algorithms the better efficient solution came from adaptive fast simulated annealing, it's leads to faster and more stable convergence to the desired floorplan solutions, but the results are not an optimal solution, to get an optimal solution it's necessary to choose effective algorithm. Combining global and local search is a strategy used by many optimization approaches. Memetic algorithm is an evolutionary algorithm that includes one or more local search phases within its evolutionary cycle. The algorithm combines a hierarchical design technique, genetic algorithms, constructive techniques and advanced local search to solve VLSI floorplanning problem.
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Metadata Management System for E-learning Objects using Cloud
Статья научная
Existing e-learning systems suffer seriously from the problems of scalability, maintainability, manageability, which can be overcome by merging e-learning with the cloud environment. Cloud technologies can satisfy the need of efficient e-learning system, resource management, user management and security for maintaining the secret information. Efficient delivery of the learning content can be done using Learning Content Management System. It is an environment where multiple users can create, accumulate, reuse, administer and deliver learning content from a central object repository. Learning Content Management System contains only the content description. So metadata for that content created which acts as an index for the learning content and holds details regarding author, location, format etc., Metadata is data about the data which is used for efficient searching.
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Статья научная
Server-side scripts like Hyper-Text Preprocessor, Active Server Pages, and their interaction with databases, has been one of the most popularly used packages for Large Database Intensive Enterprise Software today. In this paper, an approach based on a detailed and efficient method for compiling Web-Applications into executable formats to increase ease of software distribution, where limited internet access exists, is proposed. By this approach, first, one of the server-side scripts and a very popular web-application language in the world, Hyper-Text Preprocessor, is employed as a case study. Second, the methodology of using C++ for writing server installation scripts and creating Graphics User Interface Applications with Qt is shown, with tested applications. Third, Inno Setup Compiler scripts are written and used for compiling into installation and uninstallation setup files. Finally, the relevance of offline Web-Applications for solving scientific problems, the enhancement of C++ codes powered by Graphics User Interface for scientific computation, through inter-channels communication using Qt, and the steps required to easily conquer the challenges faced during the installation of Web-Applications' Servers and Databases like MySQL, are discussed. This approach is efficiently manifested by indicating and confirming this computational potential in the installation and usage of offline web-applications.
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Статья научная
Microarray Data, often characterised by high-dimensions and small samples, is used for cancer classification problems that classify the given (tissue) samples as deceased or healthy on the basis of analysis of gene expression profile. The goal of feature selection is to search the most relevant features from thousands of related features of a particular problem domain. The focus of this study is a method that relaxes the maximum accuracy criterion for feature selection and selects the combination of feature selection method and classifier that using small subset of features obtains accuracy not statistically indicatively different than the maximum accuracy. By selecting the classifier employing small number of features along with a good accuracy, the risk of over fitting (bias) is reduced. This has been corroborated empirically using some common attribute selection methods (ReliefF, SVM-RFE, FCBF, and Gain Ratio) and classifiers (3 Nearest Neighbour, Naive Bayes and SVM) applied to 6 different microarray cancer data sets. We use hypothesis testing to compare several configurations and select particular configurations that perform well with small genes on these data sets.
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Microcontroller-Based Automobile Tracking System with Audio Surveillance using GPS and GSM Module
Статья научная
This paper presents automobile tracking system with audio surveillance using GPS and GSM Module to provide an alternative solution to security challenges experienced by car owner, and to develop a system that can track the location of vehicles. We make use of Microcontroller Unit, GPS, and GSM unit. The design is an embedded application, which will continuously monitor a moving Vehicle and report the status of the Vehicle on demand. The PIC18F452 microcontroller is interfaced serially to a GSM Modem and GPS Receiver. A GSM modem is used to send the position (Latitude and Longitude) of the vehicle from a remote place. The GPS modem will continuously give the information indicating the position of the vehicle. The GPS modem gives many parameters as the output, but only the data coming out is read and sent to the user's phone number. We use RS-232 protocol for serial communication between the modems and the microcontroller. A serial driver IC is used for converting TTL voltage levels to RS-232 voltage levels. When the request by user is sent to the number in the modem, the system automatically sends a return reply to the mobile phone indicating the position of the vehicle in terms of latitude and longitude from this information we can track our vehicles.
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Mining Educational Data to Reduce Dropout Rates of Engineering Students
Статья научная
In the last two decades, number of Engineering Institutes and Universities grows rapidly in India. This causes a tight competition among these institutions and Universities while attracting the student to get admission in these Institutions/Universities. Most of the institutions and courses opened in Universities are in self finance mode, so all time they focused to fill all the seats of the courses not on the quality of students. Therefore a large number of students drop the course after first year. This paper presents a data mining application to generate predictive models for student's dropout management of Engineering. Given new records of incoming students, the predictive model can produce accurate prediction list identifying students who tend to need the support from the student dropout program most. The results show that the machine learning algorithm is able to establish effective predictive model from the existing student dropout data.
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Mitigating Coordination Costs in Global Software Development Using Scrum
Статья научная
Global Software Development (GSD) is the most recent and major trend in software engineering domain. It provides many benefits but also faces various challenges in control, communication and coordination due to socio-cultural, geographical and temporal distance. Scrum is increasingly being applied in GSD as it supports teamwork between developers and customers. Scrum method offers a distinctive feature to mitigate the effects of socio-cultural and geographical but not temporal distance on coordination in GSD projects. This paper explains how Scrum helps to mitigate the effects of temporal distance which includes increased coordination costs in GSD projects. A web application called (Distributed Scrum Web Application) provides various advantages for Scrum teams. The main advantage of this application is to facilitate communication among distributed team members.
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Mobile Augmented Integrated Framework for Citizen Centric E-Governance Services-MAIFCCES
Статья научная
The increasing adoption of improving mobile technologies has opened up a window for research and innovative services development opportunities in diversified dimensions. Government system anticipates delivery of citizen centric services through hand held devices in an integrated manner. This paper has made an attempt to develop user friendly citizen centric interface to avail government services in faster and cost-effective way through mobile device. The proposed MAIFCCES framework provides an interface for citizen to apply for government services and monitor it's status through mobile device. Also suggest a mechanism to process and monitor the applications of citizen centrally in government data centre.
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Mobile phone ranking by analytical hierarchical process: a case study
Статья научная
Mobile phones are one of the highly used gadgets now a day. These handheld devices serve multiple purposes through different available functionalities. Demand of services and functionalities vary with time and person concern. Before purchasing a new mobile phone, one has to judge specifications like functionalities, hardware capabilities and efficiencies available with the particular model of the device. We often find it difficult to identify or decide the best model among the available multiple alternatives by heuristics quick analysis of the specifications and prices. This paper proposes a method for ranking mobile phone models based on Analytical Hierarchical Process (AHP), one of the typically used mathematical models for Multi Criteria Decision Making (MCDM) problems. The effectiveness of the proposed method is analyzed through a case study consisting of various sophisticated approaches based on AHP. A novice mobile phone buyer will be benefitted by the use of the proposed method incorporated through e-commerce sites.
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Mobile-Based Fuzzy Expert System for Diagnosing Malaria (MFES)
Статья научная
Malaria is a deadly disease that claims yearly lives of millions in Africa, and other endemic continents. The prevalence of malaria in these endemic regions is majorly attached to the lack of competent medical experts who are capable of providing medical care for the affected victims. This study considers developing a mobile based fuzzy expert system that could assist in diagnosing malaria. The fuzzification of crisp inputs by the system was carried out using an inter-valued and triangular membership functions while the deffuzification of the inference engine outputs was performed by weighted average method. Root sum square method of drawing inferences has been employed while the whole development has been achieved with the help of Java 2 Micro Edition of Java. This expert system executes on the readily available mobile devices of the patients. This fuzzy system was finally evaluated and confirmed effective in providing a human-expert like diagnosis.
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Mobile-based Attendance Monitoring System Using Face Tagging Technology
Статья научная
Manual checking of attendance may lead to inconsistency of data inputs and may generate unreliable attendance result. Hence, Radio Frequency Identification (RFID) system has been developed to solve this problem, but it allows only checking student’s attendance as they enter and exit the school premise only. In consequence, teachers in every subject still need to check and monitor students’ attendance manually. Nevertheless, due to a usual large number of students entering and existing the school premise as they are tapping their RFID card, there is always a possibility of proxy attendance. Thus, Mobile-Based Attendance Monitoring System Using Face Tagging Technology (MBAMSUFTT) was developed to provide an attendance monitoring system through biometric authentication such as face recognition. The system serves as a tool for teachers to check and monitor student’s attendance in most reliable and accurate way using their smart phones. The MBAMSUFTT generates attendance report intended for close monitoring and printing of student’s attendance result. But the reliability of the attendance result (output) of the system depends on the quality of picture (input) sent by the user. Camera specification, ambiance lighting condition, and proper position of students while taking photo is exclusively required. The server and the mobile part can only run together if Wireless Fidelity is on, otherwise, monitoring will not be executed. As a developmental research, this study used the Agile Model based on System Development Life Cycle (SDLC) intended for building a project that can adapt to change requests quickly. The MBAMSUFTT was evaluated based on the ISO/IEC 25010; MBAMSUFTT’s software quality characteristics by the IT experts, and its functionality, performance efficiency, and usability by the teachers. The analysis of the data revealed that the MBAMSUFTT serves its intended purpose in checking and monitoring students’ attendance per subject area with more accurate and reliable attendance results and has also met the ISO software quality standards.
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Model-Free Adaptive Fuzzy Sliding Mode Controller Optimized by Particle Swarm for Robot Manipulator
Статья научная
The main purpose of this paper is to design a suitable control scheme that confronts the uncertainties in a robot. Sliding mode controller (SMC) is one of the most important and powerful nonlinear robust controllers which has been applied to many non-linear systems. However, this controller has some intrinsic drawbacks, namely, the chattering phenomenon, equivalent dynamic formulation, and sensitivity to the noise. This paper focuses on applying artificial intelligence integrated with the sliding mode control theory. Proposed adaptive fuzzy sliding mode controller optimized by Particle swarm algorithm (AFSMC-PSO) is a Mamdani’s error based fuzzy logic controller (FLS) with 7 rules integrated with sliding mode framework to provide the adaptation in order to eliminate the high frequency oscillation (chattering) and adjust the linear sliding surface slope in presence of many different disturbances and the best coefficients for the sliding surface were found by offline tuning Particle Swarm Optimization (PSO). Utilizing another fuzzy logic controller as an impressive manner to replace it with the equivalent dynamic part is the main goal to make the model free controller which compensate the unknown system dynamics parameters and obtain the desired control performance without exact information about the mathematical formulation of model.
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Статья научная
Three phase induction motor are very used widely, especially in industries because they bring advantages, namely simple and sturdy motor construction, relatively cheap prices, easier maintenance compared to other types of motors. At CFPP Tanjung Enim 3x10 MW, for example, a three phase induction motor used to support operational activities of the generator is a coal feeder with a motor power of 7.5 kW and a volt of 380 V. Damage to the induction motor at CFPP Tanjung Enim 3x10 MW has an impact on the a decrease in the performance of the Power Plant and can cause a loss of electricity production. Induction motor damage simulation is carried out by providing temporary disturbances, namely inter-phase disturbances and phase-to-ground faults which assume a sudden disturbance when the motor is operating normally. The parameters observed in this simulation are voltage (V), current (A) and motor rotation (Rpm). simulation results that have been carried out, it is found that disturbances in a three phase induction motor greatly affect the performance of the motor, such as when getting a phase to phase and phase to ground short circuits, the voltage will drop, the current will rise rapidly and rotation the motor will stop. By using Matlab software the author hopes to provide the right modeling to analyze the damage to the induction motor.
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Статья научная
In Algeria, as in many other countries, the Emergency Department (ED) of the hospital, is the main entrance to the hospital, which provides Healthcare to patients threatened with death, and which faces several issues, emphasized by resource limitation. Our work presents a description of patient flow inside the ‘ED’ of Chalabi Abdelkader Hospital, Mascara, Algeria. This study aims to prevent the care complication scheme by adopting a workflow approach in order to design the patient flow in the chosen ‘ED’. The objective is to enhance patients’ flows, to improve the quality of the patient supervision, by targeting the minimization of the total and waiting times. A simulation model of the study system will be built based on the acquired data, and it will be validated by domain experts for a maximal rapprochement to the reality. Then, many simulations instances will be realized using Rockwell ARENA simulator to evaluate the impact of the proposed solutions. As a result of this study, we provided to ‘ED’ supervisors many improvement solutions and recommendations to the issues identified in the modeling phase.
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Monitoring of Wide Area Power System Network with Phasor Data Concentrator (PDC)
Статья научная
This paper presents the fault detection technique in wide area power system network using Phasor Data Concentrator (PDC). Single line to ground (SLG) fault data of transmission line is processed using the WAMS technology. Phasor Data Concentrator (PDC) is primarily data collecting centres located at the control centre processing unit and is responsible for collecting all the PMUs data that is transmitted over the communication link, which will detect fault in transmission line. This will help the operators in control centre to monitor the health of wide area power system network, and can initiate corrective actions when time is the critical issue. In this paper, the voltage and current phasor information, and other transmission line parameters from 14 IEEE bus system is processed and detects the fault in transmission lines. The proposed fault detection technique in transmission line of wide area power system network is very useful for improving power system reliability and power quality.
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Multi Genre Music Classification and Conversion System
Статья научная
Artificial Intelligence (AI) has a huge scope in automating, stream- lining, and increasing productivity of Music Industry. Here, we look upon AI based techniques for classifying a piece of music into multiple genres and then later converting it into another user-specified genre. Plenty of work has been done in classification, but using traditional machine learning models which are limited in term of accuracy and rely heavily on features to train the model. The novelty of this work lies in its attempt to covert genre of music from one type to another. This paper focuses on classification achieved by using a model trained via Convolutional Neural Networks. Conversion of music genre, a relatively less worked upon field has been discussed in this paper along with details of implementation. For Conversion, we initially convert the input file to spectrogram. A database of all genre is maintained at all times and a random file from user selected genre is also converted to spectrogram. Later, these spectrograms are processed and converted back to signals. Finally the user can listen to the converted audio file. Validation of the conversion was performed via a survey with the help of end users. Thus, a novel idea of doing Music Genre Conversion was put forth and was validated with positive outcomes.
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