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The article focuses on the specifics of the development and implementation of a dual system consisting of a subsystem for designing production units' power supply and a subsystem of assessing knowledge of coal mine electrical services employees. The paper identifies quantitative and qualitative changes of recent years at the companies engaged in underground coal mining. Furthermore, the paper provides...
Internship assignment is a complicated process for universities since it is necessary to take into account a multiplicity of variables to establish a compromise between companies' requirements and student competencies acquired during the university training. These variables build up a complex relations map that requires the formulation of an exhaustive and rigorous conceptual scheme. In this research...
Human Reliability Assessment (HRA) is used to analyze the inherent risk of human behavior or actions introducing errors into the operation of a system or process. Assessments identify where errors are most likely to arise and the potential risks involved if they do occur. Using the basic concepts of HRA, an evolving group of methodologies are used to meet various industry needs. airline industry mishaps,...
The papers in the Serious Games, Gamification and Innovation Minitrack discuss different aspects related to the adaption of Serious Games and the use of gamification as an innovation. Each offers a unique contribution to our understanding of how Serious Games would be used to support learning.
This article is an exploratory approach of the different strategies used in higher education institutions for implementing serious games. In the complex and often slow-moving education sector, serious games are challenging not only the learners and teachers' practices but also the organizations' strategies. What performance criteria can be used in this specific context to evaluate the training? What...
Finding potential customers in social networks is a hard challenge for today's businesses. But by listening to the noise of social network posts, we identify users, who express a demand for a certain product. We achieve this identification with a two-stage text categorization classifier: First, we detect whether the post expresses a demand for some product in general. Second, we detect, which product...
The main purpose of this paper is to expound and clarify the term social engineering and common techniques used by attackers. In addition, it tries to highlight and evaluate the user's awareness around the world of social engineering attacks. Meanwhile, advices and solutions have been listed in order to minimize all risks could be caused by any certain attack. For instance, educational training should...
The use of Artificial Neural Networks (ANN) by power distribution companies has gained a wide reception due to its ability to predict close to accurate forecasted electric load consumption. A local power utility company in the Philippines has existing data of its electric load consumption however there is no ANN model that can process this data to produce close to accurate forecasted load which is...
This paper examines the difference in levels of psychological empowerment in Malaysian small and large oilfield service company's field employees in order to understand in which of the settings psychological empowerment strategy is most effective to the point the employees really feel empowered. According to [1], size-related characteristics of small companies usually manifest in challenges such as...
Business analytics techniques help mine and analyze business/financial data. For instance, a structural support vector machine (SSVM) can be used to perform classification on complex inputs such as the nodes of a graph structure. We connect collaborating companies in the information technology sector in an undirected graph and use an SSVM to predict positive or negative movement in their stock prices...
Twitter sentiment analysis has become an effective way in measuring public sentiment about a certain topic or product. Thus, researchers have worked extensively in recent years to build efficient models for sentiment classification. In this paper, we will measure the effect of varying the training set size on the classification accuracy and F-score of SVM and Naive Bayes classifiers. We will expand...
On the basis of depth study of commercial bank credit risk control model literature, this paper introduced the concepts of credit risk and credit risk control. We research the main influencing factors of commercial bank credit risk control scientifically by artificial neural network theory, and then set a commercial bank credit risk control index system which contains 3 levels of 27 indexes. Improved...
In all customer based industries, customer churn is considered as one of the most important and challenging concerns since it can lead to a serious profit loss. Therefore, developing accurate churn prediction models can significantly help Customer Relationship Management in planning effective retention campaigns and consequently helps in maximizing the profit of the service provider. In this paper,...
Holding and attracting customers are the keys to improve the competitiveness of e-commerce, researching customer relationship management can help us analyze the different types of customers, providing strong support for business decisions. Using decision tree algorithm in data mining techniques to analyze the basic information of e-commerce business customers, and to find out the features of customer...
Data is part of our everyday life and an essential asset in numerous businesses and organizations. The quality of the data, i.e., the degree to which the data characteristics fulfill requirements, can have a tremendous impact on the businesses themselves, the companies, or even in human lives. In fact, research and industry reports show that huge amounts of capital are spent to improve the quality...
With a considerable amount of support in literature, there is no doubt that the human factor is a major weakness in preventing Information Security (IS) breaches. The retail industry is vulnerable to human inflicted breaches due to the fact that hackers rely on their victims' lack of security awareness, knowledge and understanding, security behavior and the organization's inadequate security measures...
The integration of Information Technologies and Communication (ITC) on education is an irreversible process. Facing this context, school needs to be prepared for this reality. Many are the challenges faced to overcome all difficulties related to the appropriate integration of such technologies, in special, societies that are economically poorer. Therefore, it has been made necessary to take as first...
In this work we present a Conversation Classifierbased on Multiple Classifiers, to detect Life Events on SocialMedia. In one hand, conversations can provide more contextand help disambiguate life event detection, compared with single posts. On the other hand, the increase in number of messages and the way they interact with each other within the conversation cannot be trivially modeled by a classifier...
The objective of this research is to develop computer software for recognizing a company logo. The system is called "Logo Recognition System or LRS". There are 2 parts of the LRS, namely: a client part and server part. The client part consists of common device, which is owned by the user, such as a mobile device, tablet and smart phone. On the client part, the LRS provides an easy graphic...
Modern organizations face the challenge of constantly evolving skills and an ever-changing demand for products and services. In order to stay relevant in business, they need their workforce to be proficient in the skills that are in demand. This problem is exacerbated for large organizations with a complex workforce. In this paper, we propose a novel, analytics-driven approach to help organizations...
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