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    161 research outputs found

    Intelligence approach in improving business processes

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    Nowadays, business intelligence (BI) has the top-most priority for the contemporary enterprises. The aim of this paper is to emphasize the advantages of this computer based approach in improving business processes. Data analytics and modeling of sales prediction system for enterprise is realized with artificial neural networks (ANNs). For the purpose of this research are created over 100 artificial neural networks. Three types of artificial neural networks are designed and evaluated: Function fitting neural networks, Focused Time-delay neural networks and NARX (Non-linear autoregressive) neural networks. Also were performed simulations with different architectures that differ to the number of delays and the number of neurons in the hidden layer. The network prediction performance was evaluated with Average Percentage Error (APE) and Root Mean Square Error (RMSE). The obtained results show big accuracy in prediction of the product sale. The precise prediction has influence to optimization of most of the business processes such as: supply of raw materials, organization of production process, staff scheduling, plan the electricity demand, cost reduction etc

    On the Pulse of ICT Revolution, Productivity, and Growth: Macedonia versus European Union

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    Information and Communication Technologies (ICTs) have become more accessible, more powerful and more widespread. Yet, the use of ICTs is not an end in itself. The impact that such technologies have on the economy and society is what ultimately matters. Understanding the economics of ICTs requires a deep and thorough knowledge of how the new technology generates the economic impacts. The ICT revolution holds the transformative potentials, offering many promises and benefits, even while posing severe risks and challenges. Therefore, it is of great importance and still a challenge to measure the capacity of countries to leverage ICTs for increased competitiveness and wellbeing. Aimed at reaching such a complex task, this paper employs the extensive data compendium of the Networked Readiness Index (NRI) 2015 and a set of supplemental data analysis tools (descriptive statistics, five-number summary statistics and a Box & Whisker plot, Euclidean and statistical distances, hierarchical cluster analysis and a corresponding dendrogram) to estimate both the performance of Macedonia in the NRI and the country’s relative position visà-vis the EU member states. Looking at the trends since 2012 reveals that Macedonia is one of the ten most improved countries in their overall NRI performance. Nevertheless, the findings suggest that the country is lagging behind the European average in most indicators. The EU member states with the shortest statistical distance from Macedonia are Croatia, Cyprus, Romania, Hungary and Slovenia. Quite the reverse, the Nordics (Finland, Sweden and Denmark) and Western Europe (Luxemburg, Netherlands and UK) are the most ‘distant’ countries from Macedonia. These latter findings confirm the results obtained by the five-number summary statistics and the hierarchical cluster analysis

    Modern technologies for data storage, organization and managing in CRM systems

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    In our study we intend to emphasize the main targeted objectives for the implementation of CRM type platforms. According to these objectives, in order to provide the functionality of CRM platforms, we will make a reference to\ud the prime methods of collecting and organizing information: databases, data warehouses, data centers from Cloud Computing field. As a representative procedure of handling information we will exemplify the OLAP technique which\ud is implemented by means of SQL Server Analysis Service software instrument. Finally, we will try to look over some of the Cloud Computing based CRM platforms and how the OLAP techniques can be applied to them

    Autonomous Devices to Map Rooms and Other Indoor Spaces and Storing Maps in the Cloud

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    The publication presents a three wheeled robot that has been designed to map rooms, halls and other indoor areas. The device uses an ultrasonic sensor for measuring distance, which is later used for both navigation and obstacle detection. Data were used later to compose a matrix – the schematic map of the room. This map could be uploaded to the cloud for later use by other 3rd party devices so they do not have to redo the mapping process again

    Evaluation of Business-Oriented Performance Metrics in eCommerce using Web-based Simulation

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    The Web 2.0 paradigm has radically changed the way businesses are run all around the world. Moreover, e-Commerce has overcome in daily shopping activities. For management teams, the assessment, evaluation, and forecasting of online incomes and other business-oriented performance measures have become ‘a holy grail’, the ultimate question imposing their current and future e-Commerce projects. Within the paper, we describe the development of a Web-based simulation model, suitable for their estimation, taking into account multiple operation profiles and scenarios. Specifically, we put focus on introducing specific classes of e-Customers, as well as the workload characterization of an arbitrary e-Commerce website. On the other hand, we employ and embed the principles of the system thinking approach and the system dynamics into the proposed solution. As a result, a complete simulation model has been developed, available online. The model, which includes numerous adjustable input variables, can be successfully utilized in making ‘what-if’- like insights into a plethora of business-oriented performance metrics for an arbitrary e-Commerce website. This project is, also, a great example of the power delivered by InsightMaker, free-of-charge Web-based software, suitable for a collaborative online development of models following the systems thinking paradigm

    Application of 3ds Max for 3D Modelling and Rendering

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    In this article, the application of 3ds Max for 3D modelling and rendering of a car model is described. The process of creating a 3D car model is explained as well as setting up the references, working with editable poly, details in car interior, using turbosmooth and symmetry modifier. The manner which materials are applied to the model are described as well as lighting the scene and\ud setting up the render. The rendering methods and techniques are described, too. Final render results from several rendering plugins, such as V-ray, Mental Ray, Iray, Scanline, Maxwell, Corona, Octane and LuxRender are presented and compared

    Modeling and Implementation of Bus Rapid Transit corridor based on isolated or coordinated Traffic Prioritization and Automatic Location

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    In many cities facts defining conditions for very high concentration of functions and population make transport difficult. The proposed solutions are Automated Vehicle Location (AVL) and prioritization systems for mass urban transport buses, and priority vehicles, through a Bus Rapid Transit (BRT) corridor. Two solutions presented, which consist of a detection sub-system, with a bus component, using transmitter, and a receiver placed on the traffic lights, in the case of isolated system and an additional control center, in the case of the integrated / coordinated system. The functionality is described, and it is also presented as architecture the solution of an integrated bus priority management GPS system. In both cases we aim in minimizing the waiting time on traffic lights, and thus the waste of time on traveling. Such system is a useful instrument for any mass urban transport system

    Evaluating e-Customers’ Satisfaction in B2C e-Commerce: the Case of Macedonian Students

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    The rapid development and adoption of information and\ud communication technologies (ICTs), especially the vast proliferation of Internet and Web 2.0 paradigm in the recent years, have profoundly transformed the traditional ways of doing businesses worldwide. Going virtual has offered the companies many new possibilities, but it has also revealed many potential obstacles that have imposed new business strategies. Beyond any doubt, creating satisfied e-Customers, who will generate more e-Customers, is the best business strategy of all for online companies. Satisfied e-Customers are the key premise to attracting new e-Customers and then retaining them on a long term, the two most important aspects of doing business online. In that context, the paper highlights some results of an online survey, conducted among college students in the Republic of Macedonia, regarding their perceived levels of satisfaction vis-à-vis their B2C e-Commerce purchasing experiences. The statistical analysis of the survey results is based on the appliance of elements of descriptive and inferential statistics, as well as linear correlation and factor analysis. As such, the aim of the paper is to provide a profound knowledge and understanding of how Macedonian college students evaluate their online shopping experiences

    Wireless sensor networks simulators – computer simulation tools

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    With the development of embedded systems and network technologies there was a need to find a device that will be used for measurements and at the same time it will be economical. Wireless sensors, using self-configuring sensors\ud are perfect for this purpose. With the sensors it was ensured traceability of the physical conditions of the environment (temperature, humidity, vibration, pressure, sound, movement, etc.) with very low power consumption and high precision. The sensors also have the ability to transmit and return data to a base station. But before implementing, you have to use the simulator to test these\ud sensors, especially in the initial phase of these designs. The cost to simulate thousands of nodes networks is very low, and the simulation can be completed in a short time. Therefore, simulation of WSN is of great importance for the\ud development of WSN. Protocols, schemes or even new ideas can be assessed in very large sizes. WSN simulators allow users to isolate different factors with setting up configurable parameters. In this paperwork we have used two\ud simulators: Network Simulator 2 and Omnet++

    Separation of Players in Teams during Basketball Matches

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    This paper represents a framework for automatic player separation in teams during basketball matches. Separation is made in images broadcasted via television stations. In them, we have view from only single camera in particular point of time. This makes detection of players and their separation much more difficult. The player detection is based on mixture of non-oriented pictorial structures. After detection we extract image parts that represent player’s jersey. Over that area we calculate histogram on S value from HSV color system. According to top five picks, we cluster players in teams. This approach give us accuracy of 92.38%. Its main advantages are robustness and applicability on the large number of footages from different basketball games without need for additional training and algorithm changes

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