• A review of approaches to uncertainty assessmen-taliem-ir

    A review of approaches to uncertainty assessment in energy system optimization models

    تومان

    Energy system optimization models (ESOMs) have been used extensively in providing insights to decision makers on issues related to climate and energy policy. However, there is a concern that the uncertainties inherent in the model structures and input parameters are at best underplayed and at worst ignored. Compared to other types of energy models, ESOMs tend to use scenarios to handle uncertainties or treat them as a marginal issue. Without adequately addressing uncertainties, the model insights may be limited, lack robustness, and may mislead decision makers. This paper provides an in-depth review of systematic techniques that address uncertainties for ESOMs. We have identified four prevailing uncertainty approaches that have been applied to ESOM type models: Monte Carlo analysis, stochastic programming, robust optimization, and modelling to generate alternatives. For each method, we review the principles, techniques, and how they are utilized to improve the robustness of the model results to  provide extra policy insights. In the end, we provide a critical appraisal on the use of these methods.

     

  • Efficiency evaluation based on data envelopment-taliem-ir

    Efficiency evaluation based on data envelopment analysis in the big data context

    تومان

    Data envelopment analysis (DEA) is a self-evaluation method which assesses the relative efficiency of a particular decision making unit (DMU) within a group of DMUs. It has been widely applied in real-world scenarios, and traditional DEA models with a limited number of variables and linear constraints can be computed easily. However, DEA using big data involves huge numbers of DMUs, which may increase the computational load to beyond what is practical with traditional DEA methods. In this paper, we propose novel algorithms to accelerate the computation process in the big data environment. Specifically, we firstly use an algorithm to divide the large scale DMUs into small scale and identify all strongly efficient DMUs. If the strongly efficient DMU set is not too large, we can use the efficient DMUs as a sample set to evaluate the efficiency of inefficient DMUs. Otherwise, we can identify two reference points as the sample in the situation of just one input and one output. Furthermore, a variant of the algorithm is presented to handle cases with multiple inputs or multiple outputs, in which some of the strongly efficient DMUs are reselected as a reduced-size sample set to precisely measure the efficiency of inefficient DMUs. Last, we test the proposed methods on simulated data in various scenarios.

     

  • Fuzzy Analytic Hierarchy Process-taliem-ir

    Fuzzy Analytic Hierarchy Process: A performance analysis of various algorithms

    تومان

    Analytical Hierarchical Process (AHP) along with fuzzy set theory has been used extensively in the Multi-Criteria Decision Making (MCDM) process in which fuzzy numbers are utilized to represent human judgments more  realistically. Over the past couple of decades, numerous articles have been published proposing algorithms through which priority vector (or weight vector) can be calculated from fuzzy comparison matrices. The aim of this study is to conduct a comprehensive performance analysis of the most popular algorithms proposed in this domain in terms of accuracy of weights calculated from fuzzy comparison matrices. Such an analysis is much needed by the researchers and practitioners. However none is available. An experimental analysis is conducted and the performance of various algorithms are evaluated with varying three parameters i.e., the size of the comparison matrix, the level of fuzziness and the level of inconsistency. We found that modified Logarithmic Least Squares  Method and Fuzzy Inverse ofColumn Sum Method (FICSM) generally outperformed other algorithms, while Fuzzy  Extent Analysis (FEA) which is the mostfrequently used algorithm in the literature provides the least accurate  results. Furthermore, it was observed that a modified version of FEA method significantly improved its performance.

     

  • Smart cities A challenge-taliem-ir

    Smart cities: A challenge to research and policy analysis

    تومان

    In the century of the city, with an increasing share of the world population living in urban agglomerations, cities have not only increased in number and size, but have also turned into complex and multi-faceted organisms. A modern city is no longer a simple settlement system with buildings, infrastructure and people, but displays nonlinear evolutionary structures and trajectories as a result of an underlying complex force field comprising a multiplicity of (internal and external) actors and of (tangible and immaterial) constituents that altogether shape contemporaneous city life. Urbanity has become a modus vivendiof the 21st century, in which urban agglomerations are the geographic projections of an emerging new society characterized by connectivity, mobility and flexibility. The complexity of ever growing cities in this world prompts serious policy concerns regarding environmental quality, energy use, transport accessibility, social cohesion, labour and housing markets, public amenities, safety, effective governance, local well-being, and so forth. To cope with all these challenges and many more in the harsh reality of urban policy and management, city authorities have over the years
    often resorted to sectoral responses, without su
    fficient regard of the interwovenness of a complex urban system and without carefully basing necessary urban decisions and adjustments on a solid and verified information base that maps out the multidimensional complexity of the urban area concerned. Consequently, urban policy tends to become fragmented and not supported by quantitative accountability and solid test principles To cope with these serious governance deficiencies in the century of the city, in the past decade the notion of a smart cityhas been introduced so as to reap the fruits of a modern knowledge-economy based on cognitive principles and to apply these effectively in an urban context. This concept of a smart city however, has in the meantime turned into a fashionable and vague buzzword, with the consequence that each city wishes to be called a smart city (or even worse calls itself a smart city). This concept stands, in general, nowadays often for a characteristic of urban governance driven by advanced knowledge, digital information and high-tech policy strategies serving the needs of
    citizens.

  • A review on multi-criteria-taliem-ir

    A review on multi-criteria decision-making for energy efficiency in automotive engineering

    تومان

    Governments around the world instituted guidelines for calculating energy efficiency of vehicles not only by models, but by the whole universe of new vehicles registered. This paper compiles Multi-criteria decision-making (MCDM) studies related to automotive industry. We applied a Systematic Literature Review on MCDM studies published until 2015 to identify patterns on MCDM applications to design vehicles more fuel efficient in order to achieve full compliance with energy efficiency guidelines (e.g., InovarAuto). From 339 papers, 45 papers have been identified as describing some MCDM technique and correlation to automotive industry. We classified the most common MCDM technique and application in the automotive industry. Integrated approaches were more usual than individual ones. Application of fuzzy methods to tackle uncertainties in the data was also observed. Despite the maturity in the use of MCDM in several areas of knowledge, and intensive use in the automotive industry, none of them are directly linked to car design for energy efficiency. Analytic Hierarchy Process was identified as the common technique applied in the automotive industry.

  • An alternative methodology-taliem-ir

    An alternative methodology for evaluating the service quality of urban taxis

    تومان

    This paper proposes an alternative methodology to evaluate the service quality of urban taxis and develops a level-of-service (LOS) standard for taxi customers to monitor performance. A customer satisfaction survey was conducted from January to March 2013 in Hong Kong, with the respondents invited to give specific satisfaction ratings for ten service aspects individually and a global satisfaction rating for the overall taxi service quality, as well as to rank the important aspects that influence the given global rating. The ten service aspects related to the amount of time consumed when taking taxis, services and facilities provided for finding taxis, internal environments of taxis, and personal services provided by taxi drivers. An enhanced linear regression model was developed to identify the priority areas for improvement of urban taxi service quality. Based on the numerical score of overall taxi service quality, a six-level LOS standard, similar to academic grading, is introduced accordingly to improve the general public’s understanding of the current service level. This paper discusses the potential policy implications to enhance the taxi service quality in Hong Kong, which can be applied to other metropolitan cities that provide similar urban taxi services.

  • bannertaliem-taliem-ir

    Analysis of Islamic Bank’s Financing and Economic Growth: Case Study Iran and Indonesia

    تومان

    The purpose of this paper is to examine the short-run and the long-run relationships between Islamic banking development and economic  growth in the case of Iran and Indonesia, with this regard we use quarterly data (2000:1-2010:4), this paper utilizes the bound testing approach of cointegration and error correction models, developed within an autoregressive distributed lag (ARDL) framework. Also in this paper addresses some of the issues and challenges that Islamic banking has been facing in Iran. It also seeks to examine modes of Islamic financing and the commitment of commercial banks to implement the Islamic banking law. The results show a significant relationship in short-run and long-run periods between Islamic financial development and economic growth. The relationship appears to be bi-directional relationship. This paper uses empirical evidence to show the role of Islamic banks’ financing towards economic performance of a country.

  • bannertaliem-taliem-ir

    Analysis of Islamic Bank’s Financing and Economic Growth: Case Study Iran and Indonesia

    تومان

    The purpose of this paper is to examine the short-run and the long-run relationships between Islamic banking development and economic growth in the case of Iran and Indonesia, with this regard we use quarterly data (2000:1-2010:4), this paper utilizes the bound testing approach of cointegration and error correction  models, developed within an autoregressive distributed lag (ARDL) framework. Also in this paper addresses some of the issues and challenges that Islamic banking has been facing in Iran. It also seeks to examine modes of Islamic financing and the commitment of commercial banks to implement the Islamic banking law. The results show a significant relationship in short-run and long-run periods between Islamic financial  development and economic growth. The relationship appears to be bi-directional relationship. This paper uses empirical evidence to show the role of Islamic banks’ financing towards economic performance of a country.

  • bannertaliem-taliem-ir

    Analysis of Islamic Bank’s Financing and Economic Growth: Case Study Iran and Indonesia

    تومان

    The purpose of this paper is to examine the short-run and the long-run relationships between Islamic banking development and economic growth in the case of Iran and Indonesia, with this regard we use quarterly data (2000:1-2010:4), this paper utilizes the bound testing approach of cointegration and error correction models, developed within an autoregressive distributed lag (ARDL) framework. Also in this paper addresses some of the issues and challenges that Islamic banking has been facing in Iran. It also seeks to examine  modes of Islamic financing and the commitment of commercial banks to implement the Islamic banking law. The results show a significant relationship in short-run and long-run periods between Islamic financial  development and economic growth. The relationship appears to be bi-directional relationship. This paper uses empirical evidence to show the role of Islamic banks’ financing towards economic performance of a country.

  • Asymmetric Threat Modeling Using HMMs[taliem.ir]

    Asymmetric Threat Modeling Using HMMs: Bernoulli Filtering and Detectability Analysis

    تومان

    There is good reason to model an asymmetric threat (a structured action such as a terrorist attack) as an HMM whose observations are cluttered. Within this context this paper presents two important contributions. The first is a Bernoulli filter that can process cluttered observations and is capable of detecting if there is an HMM present, and if so, estimate the state of the HMM. The second is an analysis of the problem that, for a given HMM model, is able to make statements regarding the minimum complexity that an HMM would need to involve in order that it be detectable with reasonable fidelity, as well as upper bounds on the level of clutter (expected number of false measurements) and probability of miss of a relevant observation. In a simulation study the Bernoulli filter is shown to give good performance provided that the probability of observation is larger than the probability of an irrelevant clutter observation. Further, the results show that the longer the delays are between the HMM state transitions, the larger the probability margin must be. The feasibility  prediction shows that it is possible to predict the boundary between poor performance and good  performance for the Bernoulli filter, i.e., it is possible to predict when the Bernoulli filter will be useful, and when it will not be.

  • Crime Facilitation Purposes of Social.[taliem.ir]

    Crime Facilitation Purposes of Social Networking Sites: A Review and Analysis of the “Cyberbanging” Phenomenon

    تومان

    There have been growing claims in media circles and law-enforcement settings that street gangs and criminal organizations are turning to Internet-based social networking sites for various reasons, ranging from the  showcasing of their images and exploits to the suspected recruitment of members. The present study  investigates whether such a trend is, in fact, in place. The presence of street gangs on these Internet sites is referred to as cyberbanging. While there is some anecdotal evidence suggesting that gangs are turning to social networking sites, there is little available research on exactly how street gangs and criminal groups use the Internet. The few studies that are available acknowledge the importance of the Internet as a key channel of diffusion for street gang values and general subculture. The presence of social networking sites has been documented, but no signs of proactive recruitment have emerged. Instead, past research has demonstrated that street gangs are primarily using social networking sites for bragging about their exploits and sharing their plights with law-enforcement and criminal justice with a wider, often supportive public.

  • Finite.Element.Analysis.Joseph.E.Flaherty.[taliem.ir]

    CSCI, MATH 6860 FINITE ELEMENT ANALYSIS

    تومان

    The finite element method is a computational technique for obtaining approximate solu tions to the partial diff erential equations that arise in scientific and engineering applica tions. Rather than approximating the partial differential equation directly as with, e.g nite difference methods,the finite element method utilizes a variational problem that involves an integral of the diggerential equation over the problem domain. This domain is divided into a number of subdomains called nite elements and the solution of the partial differential equation is  approximated by a simpler polynomial function on each element. These polynomials have to be pieced together so that the approximate solution has an appropriate degree of smoothness over the entire domaind Once this has been done, the variational integral is evaluated as a sum of contributions from each finite el ement. The result is an algebraic system for the approximate solution having a finite size rather than the original infinitedimensional partial differential equation. Thus,like finite difference methods, the finite element process has discretized the partial differen tial equation but, unlike finite difference methods, the approximate solution is known throughout the domain as a pieceise polynomial function and not just at a set of points. Logan attributes the discovery of the finite element method to Hrennikof  and McHenry  who decomposed a twodimensional problem domain into an assembly of onedimensional bars and beams. In a paper that was not recognized for several years.Courant . used a variational formulation to describe a partial differential equation with a piecewise linear polynomial approximation of the solution relative to a decomposition of the problem domain into triangular elements to solve equilibrium and vibration problems. This is essentially the modern finite element method and represents the first application where the elements were pieces of a continuum rather than structural members.   

  • Evolution of optical fibre cabling-taliem-ir

    Evolution of optical fibre cabling components at CERN: Performance and technology trends analysis

    تومان

    CERN optical fibre infrastructure has been growing constantly over the past decade due to ever increasing connectivity demands. The provisioning plan and fibre installation of this vast laboratory is performed by Fibre Optics and Cabling Section at Engineering Department. In this paper we analyze the procurement data for essential fibre cabling components during a five-year interval to extract the existing trends and anticipate future directions. The analysis predicts high contribution of LC connector and an increasing usage of multi-fibre connectors. It is foreseen that single-mode fibres become the main fibre type for mid and long-range installations while air blowing would be the major installation technique. Performance assessment of various connectors shows that the expanded beam ferrule is favored for emerging on-board optical interconnections thanks to its  scalable density and stable return-loss.

  • Fault Tree Analysis-taliem-ir

    Fault Tree Analysis of Floating Offshore Wind Turbines

    تومان

    With the development of offshore wind power, the reliability analysis of offshore wind turbines is  ncreasingly significant due to the system complexity and negative impacts in harsh operating  onditions. In this study, the Fault Tree Analysis method is adopted for both qualitative and quantitative evaluation of semi-submersible floating offshore wind turbine failure characteristics. The floating offshore wind turbine is divided into several assemblies, including support structures, pitch and hydraulic system,   earbox, generatorand the other systems. Failure rates of relevant offshore structures are collected from previous studies, reports and reliability databases. On this basis, the quantitative assessment of Minimum Cut Sets and Importance Measures are achieved. The calculated results are generally in conformity with statistical data, indicating that most of the failures are caused by several basic factors. Marine conditions, especially the salt-spray and high  wind speed, show the most significant impact on floating offshore wind turbine performance.

  • Inelastic large deflection analysis of structural steel members under cyclic loading[taliem.ir]

    Inelastic large deflection analysis of structural steel members under cyclic loading

    تومان

    The present paper is concerned with the cyclic inelastic large deflection analysis of structural steel members, such as pin-ended columns and fixed-ended tubular beam-columns of strut type. An elastoplastic finite  element formulation for beam-columns, accounting for both the material and geometrical nonlinearities, was developed and implemented in the computer program FEAP used in the analysis. The geometrical  nonlinearity is considered using the modified approximate updated Lagrangian description of motion. The two-surface plasticity model, recently developed by the authors, is employed for material nonlinearity. The model accounts for the important cyclic characteristics of structural steel, even within the yield plateau, such as, the decrease and disappearance of the yield plateau, reduction of the elastic range and cyclic strain  hardening. The cyclic elastoplastic performance of the formulation was found to be good when compared  with the experimental results as well as the results obtained from other material models.