کارابرن عزیز، مقالات isi بالاترین کیفیت ترجمه را دارند، ترجمه آنها کامل و دقیق می باشد (محتوای جداول و شکل های نیز ترجمه شده اند) و از بهترین مجلات isi انتخاب گردیده اند. همچنین تمامی ترجمه ها دارای ضمانت کیفیت بوده و در صورت عدم رضایت کاربر مبلغ عینا عودت داده خواهد شد.
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Data Mining Strategies for Real-Time Control in New York City
استراتژی داده کاوی برای کنترل زمان واقعی در شهر نیویورک-2105
The Data Mining System (DMS) at New York City Department of Transportation (NYCDOT) mainly consists of four database systems for traffic and pedestrian/bicycle volumes, crash data, and signal timing plans as well as the Midtown in Motion (MIM) systems which are used as part of the NYCDOT Intelligent Transportation System (ITS) infrastructure. These database and control systems are operated by different units at NYCDOT as an independent database or operation system. New York City experiences heavy traffic volumes, pedestrians and cyclists in each Central Business District (CBD) area and along key arterial systems. There are consistent and urgent needs in New York City for real-time control to improve mobility and safety for all users of the street networks, and to provide a timely response and management of random incidents. Therefore, it is necessary to develop an integrated DMS for effective real-time control and active transportation management (ATM) in New York City. This paper will present new strategies for New York City suggesting the development of efficient and cost-effective DMS, involving: 1) use of new technology applications such as tablets and smartphone with Global Positioning System (GPS) and wireless communication features for data collection and reduction; 2) interface development among existing database and control systems; and 3) integrated DMS deployment with macroscopic and mesoscopic simulation models in Manhattan. This study paper also suggests a complete data mining process for real-time control with traditional static data, current real timing data from loop detectors, microwave sensors, and video cameras, and new real-time data using the GPS data. GPS data, including using taxi and bus GPS information, and smartphone applications can be obtained in all weather conditions and during anytime of the day. GPS data and smartphone application in NYCDOT DMS is discussed herein as a new concept. © 2014 The Authors. Published by Elsevier B.V. Selection and peer-review under responsibility of Elhadi M. Shakshu Keywords: Data Mining System (DMS), New York City, real-time control, active transportation management (ATM), GPS data
A Joint Power Efficient Server and Network Consolidation approach for virtualized data centers
یک سرور توانی کارآمد مشترک و دیدگاه یکپارچه سازی شبکه برای مراکز داده ای مجازی-2018
Cloud computing and virtualization are enabling technologies for designing energy-aware resource management mechanisms in virtualized data centers. Indeed, one of the main challenges of big data centers is to decrease the power consumption, both to cut costs and to reduce the environmental impact. To this extent, Virtual Machine (VM) consolidation is often used to smartly reallocate the VMs with the objective of reducing the power consumption, by exploiting the VM live migration. The consolidation problem consists in finding the set of migrations that allow to keep turned on the minimum number of servers needed to host all the VMs. However, most of the proposed consolidation approaches do not consider the network related consumption, which represents about 10–20% of the total energy consumed by IT equipment in real data centers. This paper proposes a novel joint server and network consolidation model that takes into account the power efficiency of both the switches forwarding the traffic and the servers hosting the VMs. It powers down switch ports and routes traffic along the most energy efficient path towards the least energy consuming server under QoS constraints. Since the model is complex, a fast Simulated Annealing based Resource Consolidation algorithm (SARC) is proposed. Our numerical results demonstrate that our approach is able to save on average 50% of the network related power consumption compared to a network unaware consolidation.
keywords: Cloud| Virtualization| Power| Green computing| Simulated annealing
Post-colonial dilemmas in the construction of Ghanaian citizenship education: National unity, human rights and social inequalities
مسائل پسا - استعماری در ایجاد آموزش شهروندی غنایی ها: اتحاد ملی، حقوق انسانی و نابرابری های اجتماعی-2018
This article contributes to the growing interest in the compromises which African models of citizenship education make between Western and indigenous curricular agendas. It traces how Nkrumah’s educational ideals were reshaped by the teaching of human rights, individual independence, enterprise and economic development. We employ historical policy research, a critical literature review and interviews with key officials to construct a chronology of Ghanaian civic education, providing insights into postcolonial dilemmas around promoting national unity over social difference, critical learning and child-centred pedagogy, the valuing of indigenous cultures, challenging social inequalities and the need for the ‘decolonisation of the mind’ (Sefa Dei 2005b).
keywords: Youth |Ghana |Human rights |Social inequality |Citizenship education
“What is the problem represented to be?” Two decades of research on Roma and education in Europe
مسئله به چه شکلی باید بیان شود؟ دو دهه تحقیق روی رم و آموزش در اروپا-2018
This review article offers an analysis of research on Roma and education. A total of 151 peer-reviewed research articles were sampled through systematic searches in four databases, covering the period 1997–2016. Inspired by critical approaches in policy analysis, we draw on the concept of problem representations to identify dominant discourses in the research material. The analysis identifies nine problem representations; absence from school, academic achievement, socioeconomic issues, cultural differences, invisibility, teachers’ competencies, hostility, segregation and misguided policy and action. The content of these problem representations suggests that Roma is often framed as either victims or problems in educational research, and that cultural differences are much more dominant as a problem representation in the field than structural aspects such as socioeconomic issues. This critical review can contribute to raise awareness regarding how we frame research questions in the field of Roma and education.
keywords: Roma |Gypsy |Traveller |Intercultural education |Problem representations
Exploring religious tourist experiences in Jerusalem: The intersection of Abrahamic religions
بررسی تجربیات گردشگری مذهبی در اورشلیم: تقاطع مذهب های ابراهیمی-2018
By considering the importance of religious tourism for travel and the tourism industry, this study aims to identify religious tourists experiences in Jerusalem, as one of the most important holy cities. By a survey, 848 data were collected from the Jewish, Christian, and Muslim religious tourists. Results showed that religious tourism experience was a multi-faceted construct, which consists of engaging mentally, discovering new things, interacting & belonging, connecting spiritually & emotionally, and relaxing & finding peace dimensions. By using these dimensions, perceived experience differences of tourists were examined depending on religion. Moreover, religious tourism experience was identified to significantly affect overall tourist satisfaction with Jerusalem. The study concluded with discussion of the findings and their implications.
keywords: Religious tourism| Religious tourist experience| Overall satisfaction| Jerusalem
The structure of information release and the factor structure of returns
ساختار افشای اطلاعات و ساختار عاملی بازگشت ها-2018
We model how firms releasing information on different dates causes the CAPM to fail, requiring an additional factor based on the information structure to price assets. We exemplify this mechanism’s empirical relevance using quarterly earnings announcements, which cluster across months along size and book-to-market. Seventy percent of the alpha reduction from including SMB and HML occurs in the four main earnings announcement months. The information structure factor accounts for all of SMB and HML’s seasonal alpha reduction and one third of their overall alpha reduction. Controlling for size and book-to-market, exposures to SMB and HML vary with firms’ earnings announcement month.
keywords: Earnings announcements |CAPM|Factor models |SMB|HML
All’s well that ends well? On the importance of how returns are achieved
چیزی خوب است که خوب تمام شود؟ درمورد اهمیت چگونگی به دست آمدن بازگشت ها-2018
We demonstrate that investor satisfaction and investment behavior are influenced substantially by the price path by which the final investor return is achieved. In a series of experiments, we analyze various different price paths. Investors are most satisfied if their assets first fall in value and then recover, and they are least satisfied with the opposite pattern, independent of whether the final return is positive or negative. Price paths systematically influence risk preferences, return beliefs, and ultimately trading decisions. Our results enable a much more holistic perspective on a wide range of topics in finance, such as the disposition effect, risk-taking behavior after previous gains and losses, and behavioral asset pricing.
keywords: Investor satisfaction |Reference points |Risk tolerance |Investor behavior |Experimental finance
Measuring management practices
سنجش اقدامات مدیریتی-2018
Good management practices are remarkably difficult to robustly measure, especially when unique data on firms and their managers are not available. We propose a new model estimated with Bayesian techniques that requires only the usual accounting data on inputs and outputs and thus can be applied to any firm. We show that our management practices estimates are more than 90% correlated with existing state-of-the-art measures from a very specialized data set by Bloom and Van Reenen (2007). We also obtain very high correlations when conducting an extensive Monte Carlo analysis. Finally, we show that frontier-based methods previously used to estimate management practices do not provide good approximations.
keywords: Management practices |Productivity |Cost efficiency |Bayesian methods
Power-aware gateway connectivity in battery-powered dynamic IoT networks
اتصال دروازه ای توان - آگاه در شبکه های پویای اینترنت اشیای کار کننده با باتری-2018
The paradigm of Internet of Things (IoT) is on rapid rise in today’s world of communication. Every networking device is being connected to the Internet to develop specific and dedicated applications. Data from these devices, called as IoT devices, is transmitted to the Internet through IoT Gateways (IGWs). IGWs support all the technologies in an IoT network. In order to reduce the cost involved with the deployment of IGWs, specialized low-cost devices called Solution Specific Gateways (SSGWs) are also employed alongside IGWs. These SSGWs are similar to IGWs except they support a subset of technologies supported by IGWs. A large number of applications are being designed which require IGWs and SSGWs to be deployed in remote areas. More often than not, gateways in such areas have to be run on battery power. Hence, power needs to be conserved in such networks for extending network life along with maintaining total connectivity. In this paper, we propose a dynamic spanning tree based algorithm for power-aware connectivity called SpanIoTPower-Connect which determines (near) optimal power consumption in battery-powered IoT networks. SpanIoTPower-Connect computes the spanning tree in the network in a greedy manner in order to minimize the power consumption and achieve total connectivity. Additionally, we propose an algorithm to conserve power in dynamic IoT networks where the connectivity demand changes with time. Our simulation results show that our algorithm performs better than Static Spanning Tree based algorithm for power-aware connectivity (Static ST) and a naive connectivity algorithm where two neighboring SSGWs are connected through every available technology. To the best of our knowledge, our work is the first attempt at achieving power-aware connectivity in battery-powered dynamic IoT networks.
keywords: Internet of Things| IoT gateway| IoT network| Power-aware| Performance evaluation
School-level resource allocation and education outcomes in Sri Lanka
تخصیص منابع سطح مدرسه ای و خروجی های آموزشی در سریلانکا-2018
Sri Lanka’s public education system suffers from poor examination outcomes and wide disparities in academic achievement across schools. Using School Census data for the year 2016 and a multilevel modelling technique, we examine the link between school-level resources and student performance at the O-Levels. Controlling for several factors, we find that schools with larger shares of in-field and experienced teachers and qualified principals perform better at the O-Levels. Teacher commitment—measured by teacher absenteeism—also matters. Our findings hold several policy implications for improving the equity of school-level resource allocation and, subsequently, educational outcomes in Sri Lanka.
keywords: Public education |School-level resources |O-Levels |Multilevel modelling |Sri Lanka