Global Journal of Computer Science and Technology (GJCST)
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Impact of Critical Success Factors on ERP Implementation: Typical Organizations in Sri Lankan Context
Get PDFEnterprise Resource Planning system is a software that suitable for the user to earn more ROI by involving business activities. By the way, most organizations are still afraid to adopt this to their organizations. The reason is the high-cost wastage, and also bankruptcy. But it is not true at all the time. ERP can implement to small and medium-sized organizations too. To clarify these points, the paper focuses on the critical factors that affect the success of an ERP implementation process. It will do by a conceptual framework. It review and assertion of 15 hypotheses will carry out using "structural equation modeling technique". The definition of multi-variable technology used since the ability to check multiple linear connections at once simultaneously depends on one or more variables dependently and independentl
Dyslex_Re : The Real-Time Assistance for Dyslexic People
Get PDFDYSLEX_RE is a real-time reading assistant app for dyslexic people. Dyslexia, also known as reading disorder and it is characterized by trouble with reading ability. Different people are affected to varying degrees. Problems may include difficulties in spelling words, reading at high speed, writing some words, sounding out words in the head, pronouncing words when reading aloud and understanding what one reads. Some cases run in families. OpenDyslexic is a free typeface/font designed to avoid some of the common reading errors caused by dyslexia. The font that includes regular, bold, italic, bold-italic, and monospaced font styles. This application is developed in English language using multisensory approach and it is an appropriate and suitable learning ecosystem for dyslexic children. Previous studies shows that many application that are developed in Malay and Spanish language. And this applications that only recognize some of the alphabetic. But in our application we work with all the alphabetic using OCR. The main objective of the proposed system that uses Google2019;s mobile vision AP
Mediation of Lazy Update Propagation in a Replicated Database over a Decentralized P2P Architecture
Get PDFWhile replicating data over a decentralized Peer-to- Peer (P2P) network, transactions broadcasting updates arising from different peers run simultaneously so that a destination peer replica can be updated concurrently, that always causes transaction and data conflicts. Moreover, during data migration, connectivity interruption and network overload corrupt running transactions so that destination peers can experience duplicated data or improper data or missing data, hence replicas remain inconsistent. Different methodological approaches have been combined to solve these problems: the audit log technique to capture the changes made to data; the algorithmic method to design and analyse algorithms and the statistical method to analyse the performance of new algorithms and to design prediction models of the execution time based on other parameters. A Graphical User Interface software as prototype, have been designed with C #, to implement these new algorithms to obtain a database synchronizer-mediator. A stream of experiments, showed that the new algorithms were effective. So, the hypothesis according to which 201C;The execution time of replication and reconciliation transactions totally depends on independent factors.201D; has been confirmed
Enhancing Road Traffic Safety in- Kenya Using Artificial Neural Networks
Get PDFThe world loses a human live in every 24 second due to Road Traffic Accidents (RTAs). In Kenya approximately 3000 lives are lost annually due to RTAs. The interventions to improve road traffic safety (RTS) failed because they were not informed by any scientific research. In this paper we employed the multi-layer feed forward perceptron neural network model to classify the road traffic safety status (RTSS) as:-excellent, fair, poor or danger states which model2019;s output are. We considered the vehicle internal factors that contribute to RTAs as model2019;s inputs which included:-inside-vehicle-condition, entertainment, safety-awareness, passager2019;s (attention, criminal-history, health-history, movement inside vehicle, body posture, frequency of journey, drunkenness2019;, drug-influence, use-of-mobile-phone and load), luggage-type and the safetybelt
A Collaborative approach for segmentation of probe image for efficient texture recognition
Get PDFImage processing methodologies and domain is quite wide and really efficient now days for real time applications Our work primarily deals with the domain of image segmentation and using segmentation concept texture recognition has been performed with comparative results and simulations performed over a particular image dataset The initial work in our proposed work is to perform segmentation on each part image then performing extraction We have focused on segmentation followed by extraction so that the classification result may not contain much error The conventional approach has been implemented in this regard first and then the main problem that has been formulated is patch up data pixels together which provide error in getting right and appropriate texture In order to deal with the problem formulated in the existing work we have proposed a new commuted method in which the extraction and segmentation of image depends on the dynamic threshold set by use
Mobile Edge Computing
Get PDFMobile applications are becoming increasingly computational-intensive while many mobile devices still have limited battery power and cannot support computational intensive tasks Mobile edge computing MEC computing is an extension of edge computing and it refers to computing at the edge of a network In mobile edge computing computing and storage nodes are placed at the Internet s edge near mobile devices It places the edge clouds at the candidate locations This paper presents a brief introduction to ME
Using Deep Learning to Detect Polyethylene Terephthalate (PET) Bottle Status for Recycling
Get PDFFollowing the recent ban on plastic waste import by China developed countries face challenges with a high amount of plastic waste Plastic waste has been diverted to developing East-Asia countries like the Philippines Vietnam and Malaysia The Malaysian government has taken strict action to send back over 3000 tons of contaminated plastic waste This paper aims to establish mechanisms to detect the status of post-consumer PET bottles for recycling A research-based and experimental design approach was adopted to develop mechanisms to detect PET bottle status to ensure high-quality bottles A total of 1749 images were captured using a Raspberry Pi camera belonging to four different classes seal cap seal cap no seal cap content Deep Learning technology SqueezeNet was used to train the PET bottle images The trained model achieved 98 accuracy with correct bottle status recognized The model was deployed on a Raspberry Pi to detect PET bottles in real-time The model showed a delay of 0 018 to 0 022 seconds per prediction using Intel CPU in prediction performance Whereas on Raspberry Pi the prediction performance is 5 to 10 times slower than the Intel CPU with a delay of 0 1 to 0 25 seconds per predictio
Issues of Topology Based Reactive Routing Protocols in Vanets
No full textLate years fast development in the quantity of vehicles on street has expanded So there is a requests for progressing correspondence Vehicular specially appointed systems VANETs has turned out to be a significant hot research region over the most recent couple of years Because of their qualities for example high unique topology and unsurprising portability Route determination and the executives are one of the key issues in Vehicular Ad hoc Networks VANETs So they draw in a lot of consideration on research point of view This paper portrays a few issues and difficulties of Route choice and the board in VANET
Employee Culling based on of Online Work Assessment through Machine Learning Algorithm
Get PDFJob analysis planning employee needs recruiting the appropriate people wages and salary management are the important theme of human resource management Human resource management also includes evaluating performance resolving problems and create communication with all employees at all levels On the other hand Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans So through these two sectors such as computation and business administration in this paper on employee culling based on work assessment by which machine learning algorithm such as KNN SVM The Decision tree can give the best result perfect employee We also focus on the accuracy that algorithm is performing We marked an employee through their experience language skills skills graduation etc we create e model by which we can get input through the companies and give them a perfect result through their requirement assessment and machine learning algorith
A Taxonomy of Schedulers 2013; Operating Systems, Clusters and Big Data Frameworks
No full textThis review analyzes deployed and actively used workload schedulers2019; solutions and presents a taxonomy in which those systems are divided into several hierarchical groups based on their architecture and design. While other taxonomies do exist, this review has focused on the key design factors that affect the throughput and scalability of a given solution, as well as the incremental improvements which bettered such an architecture. This review gives special attention to Google2019;s Borg, which is one of the most advanced and published systems of this kind