University for Information Science and Technology
Ohrid, Macedonia

The University for Information Science and Technology "St. Paul The Apostole" , is a state university located in Ohrid, Macedonia. Founded in 2009, the university is organized in 6 Faculties. The University is an international University where you can find not only students but also professors from abroad of Macedonia, therefore the lectures are held in English. Wikipedia.

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Almaraashi M.,University for Information Science and Technology
PLoS ONE | Year: 2017

Solar energy is considered as one of the main sources for renewable energy in the near future. However, solar energy and other renewable energy sources have a drawback related to the difficulty in predicting their availability in the near future. This problem affects optimal exploitation of solar energy, especially in connection with other resources. Therefore, reliable solar energy prediction models are essential to solar energy management and economics. This paper presents work aimed at designing reliable models to predict the global horizontal irradiance (GHI) for the next day in 8 stations in Saudi Arabia. The designed models are based on computational intelligence methods of automated-design fuzzy logic systems. The fuzzy logic systems are designed and optimized with two models using fuzzy c-means clustering (FCM) and simulated annealing (SA) algorithms. The first model uses FCM based on the subtractive clustering algorithm to automatically design the predictor fuzzy rules from data. The second model is using FCM followed by simulated annealing algorithm to enhance the prediction accuracy of the fuzzy logic system. The objective of the predictor is to accurately predict next-day global horizontal irradiance (GHI) using previous-day meteorological and solar radiation observations. The proposed models use observations of 10 variables of measured meteorological and solar radiation data to build the model. The experimentation and results of the prediction are detailed where the root mean square error of the prediction was approximately 88% for the second model tuned by simulated annealing compared to 79.75% accuracy using the first model. This results demonstrate a good modeling accuracy of the second model despite that the training and testing of the proposed models were carried out using spatially and temporally independent data. © 2017 Majid Almaraashi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Chang T.P.,University for Information Science and Technology
Energy Conversion and Management | Year: 2011

In this paper, wind energy in Taiwan is assessed according to Weibull function. The heuristic searching technique, particle swarm optimization (PSO), is applied originally to find the Weibull parameters. Wind data used is measured by three wind turbines located at different climate regions, i.e. Dayuan, Hengchun and Penghu. The results show that the PSO is powerful in searching parameters. Three stations experiencing stronger northeastern monsoon have more power density in winter. Yearly wind speed distribution in Hengchun matches best with the Weibull function. Weibull shape parameters lie between 2 and 3; scale parameters reveal similar trends with mean speeds by 12% greater. On the basis of Weibull distribution, the order of magnitude is always in speed carrying maximum energy, scale parameter, mean speed and most probable speed for all the stations. There is much room to enhance turbine's conversion efficiency especially in Penghu according to the analyses of availability and capacity factors. The wind in inland stations could relatively provide more energy near noon. Wind power density presents inverse change with solar irradiance over the year. © 2010 Elsevier Ltd. All rights reserved.

Chang T.P.,University for Information Science and Technology
Applied Energy | Year: 2011

Two-parameter Weibull function has been widely applied to evaluate wind energy potential. In this paper, six kinds of numerical methods commonly used for estimating Weibull parameters are reviewed; i.e. the moment, empirical, graphical, maximum likelihood, modified maximum likelihood and energy pattern factor method. Their performance is compared through Monte Carlo simulation and analysis of actual wind speed according to the criterions such as Kolmogorov-Smirnov test, parameter error, root mean square error, and wind energy error. The results show that, in simulation test of random variables, the graphical method's performance in estimating Weibull parameters is the worst one, followed by the empirical and energy pattern factor methods, if data number is smaller. The performance for all the six methods is improved while data number becomes larger; the graphical method is even better than the empirical and energy pattern factor methods. The maximum likelihood, modified maximum likelihood and moment methods present relatively more excellent ability throughout the simulation tests. From analysis of actual data, it is found that if wind speed distribution matches well with Weibull function, the six methods are applicable; but if not, the maximum likelihood method performs best followed by the modified maximum likelihood and moment methods, based on double checks including potential energy and cumulative distribution function. © 2010 Elsevier Ltd.

Chang T.P.,University for Information Science and Technology
Applied Energy | Year: 2011

In addition to the probability density function (pdf) derived with maximum entropy principle (MEP), several kinds of mixture probability functions have already been applied to estimate wind energy potential in scientific literature, such as the bimodal Weibull function (WW) and truncated Normal Weibull function (NW). In this paper, two other mixture functions are proposed for the first time to wind energy field, i.e. the mixture Gamma-Weibull function (GW) and mixture truncated normal function (NN). These five functions will be reviewed and compared together with conventional Weibull function. Wind speed data measured from 2006 to 2008 at three wind farms experiencing different climatic environments in Taiwan are selected as sample data to test their performance. Judgment criteria include four kinds of statistical errors, i.e. the max error in Kolmogorov-Smirnov test, root mean square error, Chi-square error and relative error of wind potential energy. The results show that all the mixture functions and the maximum entropy function describe wind characterizations better than the conventional Weibull function if wind regime presents two humps on it, irrespective of wind speed and power density. For wind speed distributions, the proposed GW pdf describes best according to the Kolmogorov-Smirnov test followed by the NW and WW pdfs, while the NN pdf performs worst. As for wind power density, the MEP and GW pdfs perform best followed by the WW and NW pdfs. The GW pdf could be a useful alternative to the conventional Weibull function in estimating wind energy potential. © 2010 Elsevier Ltd.

Iwata Y.,University for Information Science and Technology | Oka K.,Tokyo University of Information Sciences | Yoshida Y.,Preferred Infrastructure
Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms | Year: 2014

In the area of parameterized complexity, to cope with NP- Hard problems, we introduce a parameter k besides the input size n, and we aim to design algorithms (called FPT algorithms) that run in 0(f(k)nd) time for some function f(k) and constant d. Though FPT algorithms have been successfully designed for many problems, typically they are not sufficiently fast because of huge f(k) and d. In this paper, we give FPT algorithms with small f(k) and d for many important problems including Odd Cycle Transversal and Almost 2-SAT. More specifically, we can choose f(k) as a single exponential (4k) and d as one, that is, linear in the input size. To the best of our knowledge, our algorithms achieve linear time complexity for the first time for these problems. To obtain our algorithms for these problems, we consider a large class of integer programs, called BIP2. Then we show that, in linear time, we can reduce BIP2 to Vertex Cover Above LP preserving the parameter k, and we can compute an optimal LP solution for Vertex Cover Above LP using network flow. Then, we perform an exaustive search by fixing half- integral values in the optimal LP solution for Vertex Cover Above LP. A bottleneck here is that we need to recompute an LP optimal solution after branching. To address this issue, we exploit network flow to update the optimal LP solution in linear time. Copyright © 2014 by the Society for Industrial and Applied Mathematics.

Volponi F.,University for Information Science and Technology
Monthly Notices of the Royal Astronomical Society | Year: 2016

We examine the convective stability of hydrodynamic discs with full stratification in the local approximation and in the presence of thermal diffusion (or relaxation). Various branches of the relevant axisymmetric dispersion relation derived by Urpin are discussed. We find that when the vertical Richardson number is larger than or equal to the radial one (i.e. |Riz| ≥ |Rix|) and wavenumbers are comparable (i.e. |kx| ~ |kz|) the disc becomes unstable, even in the presence of radial and vertical stratifications with Rix > 0 and Riz > 0. The origin of this resides in a hybrid radial-vertical Richardson number. We propose an equilibrium profile with temperature depending on the radial and vertical coordinates and with Riz > 0 forwhich this destabilization mechanism occurs. We notice as well that the dispersion relation of the 'convective overstability' is the branch of the one here discussed in the limit |kz| » |kx| (i.e. two-dimensional disc). © 2016 The Author Published by Oxford University Press on behalf of the Royal Astronomical Society.

Rao R.S.,Jawaharlal Nehru Technological University Anantapur | Ravindra K.,Jawaharlal Nehru Technological University Anantapur | Satish K.,Jawaharlal Nehru Technological University Anantapur | Narasimham S.V.L.,University for Information Science and Technology
IEEE Transactions on Power Systems | Year: 2013

This paper presents a new method to solve the network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss and improving voltage profile in distribution system. A meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously reconfigure and identify the optimal locations for installation of DG units in a distribution network. Sensitivity analysis is used to identify optimal locations for installation of DG units. Different scenarios of DG placement and reconfiguration of network are considered to study the performance of the proposed method. The constraints of voltage and branch current carrying capacity are included in the evaluation of the objective function. The method has been tested on 33-bus and 69-bus radial distribution systems at three different load levels to demonstrate the performance and effectiveness of the proposed method. The results obtained are encouraging. © 2012 IEEE.

Chiu W.-Y.,Princeton University | Chen B.-S.,National Tsing Hua University | Yang C.-Y.,University for Information Science and Technology
IEEE Transactions on Mobile Computing | Year: 2012

In this paper, the relative location estimation problem, a prominent issue faced by several applications in wireless sensor networks (WSNs), is considered. Sensors are classified into two categories: location-aware and location-unaware sensors. To estimate the positions of location-unaware sensors, exact positions are often assumed for location-aware sensors. However, in practice, such precise data may not be available. Therefore, determining the positions of location-unaware sensors in the presence of inexact positions of location-aware sensors is the primary focus of this study. A robust min-max optimization method is proposed for the relative location estimation problem by minimizing the worst-case estimation error. The corresponding optimization problem is originally nonconvex, but after it is transformed into a convex semidefinite program (SDP), it can be solved by existing numerical techniques. In the presence of inexact positions of location-aware sensors, the robustness of the proposed approach is validated by simulations under different WSN topologies. Modified maximum-likelihood (ML) estimation and second-order cone programming (SOCP) relaxation methods have been used for localization in comparison with the proposed approach. © 2012 IEEE.

Lo S.K.C.,University for Information Science and Technology
Information Sciences | Year: 2012

Although drivers obtain road information through radio broadcasting or specific in-car equipment, there is still a wide gap between the synchronization of information and the actual conditions on the road. In the absence of adequate information, drivers often react to conditions with inefficient behaviors that do not contribute to their own driving goals, but increase traffic complication. Therefore, this study applies the features of information exchanged between "Multi-Agents" and mutual communication and collaboration mechanisms to intelligent transportation systems (ITS). If drivers could achieve distributed communication, share their driving information, and submit their own reasoned driving advice to others, many traffic situations will improve effectively. Additionally, the efficiency of the computing processes could have improved through distributed communication. At the same time, this paper proposes an architecture design, including vehicle components, OBU (On-Board Unit) devices and roadside device components (Roadside Unit) with hybrid architecture, which is intended to establish intelligent diversified road services to provide information support and applications. © 2011 Elsevier Inc. All rights reserved.

Agency: European Commission | Branch: FP7 | Program: MC-IRG | Phase: FP7-PEOPLE-2009-RG | Award Amount: 100.00K | Year: 2011

The purpose of the requested Marie Curie IRG is to assist Dr. Bratislav Stankovic in his permanent professional reintegration into his native country, the Former Yugoslav Republic of Macedonia (FYROM). Dr. Stankovic has spent 19 years in the USA as a researcher, scholar, educator, and law practitioner, acquiring professional experience in both the academic and private sectors. He recently accepted employment as a full-time faculty member at the University American College (UACS) in Skopje. The award of an IRG should assist Dr. Stankovic to share in his native country his knowledge and expertise in intellectual property (IP) rights, technology transfer (TT), science, and socio-economic development. He has already developed expertise and track record in IP law, technology and knowledge transfer, both as a scholar and as a law practitioner, working for one of the largest IP law firms in the USA. He is keenly aware of the global developments in IP law and TT. An award of an IRG would be instrumental in supporting his efforts to create an interdisciplinary Center (CIPTT) intended to promote a strategic focus on innovation in, and development of, various industries - and to enhance commercialization of research. The long-term goal of this effort relates to promotion and enablement of innovation, intellectual asset management, fostering the creation of new technologies, tools, SMEs, and paradigms in the FYROM. The CIPTT will have a strong intersectoral aspect, bringing together experts from diverse areas such as law, economics, science, business, and education, thus combining a unique set of partner skills. The establishment of the Center will be an incremental yet important step in the positioning of FYROM as a place of smart, sustainable and inclusive growth built upon an economy in which knowledge and innovation are the primary tools, where development stems from brains rather than brawn or materials (in line with ECs Europe 2020: a new economic strategy).

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