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تعداد مقالات یافته شده: 403
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61 Energy scheduling of a smart microgrid with shared photovoltaic panels and storage: The case of the Ballen marina in Samsø
برنامه ریزی انرژی از یک ریز شبکه هوشمند با پانل های فتوولتائیک مشترک و ذخیره سازی: پرونده مارینا بالن در سامسوی-2020
This paper focuses on the Model Predictive Control (MPC) based energy scheduling of a smart microgrid equipped with non-controllable (i.e., with fixed power profile) and controllable (i.e., with flexible and programmable operation) electrical appliances, as well as photovoltaic (PV) panels, and a battery energy storage system (BESS). The proposed control strategy aims at a simultaneous optimal planning of the controllable loads, the shared resources (i.e., the storage system charge/discharge and renewable energy usage), and the energy exchange with the grid. The control scheme relies on an iterative finite horizon on-line optimization, implementing a mixed integer linear programming energy scheduling algorithm to maximize the self-supply with solar energy and/or minimize the daily cost of energy bought from the grid under time-varying energy pricing. At each time step, the resulting optimization problem is solved providing the optimal operations of controllable loads, the optimal amount of energy to be bought/sold from/to the grid, and the optimal charging/discharging profile for the BESS. The proposed energy scheduling approach is applied to the demand side management control of the marina of Ballen, Samsø (Denmark), where a smart microgrid is currently being implemented as a demonstrator in the Horizon2020 European research project SMILE. Simulations considering the marina electric consumption (340 boat sockets, a service building equipped with a sauna and a wastewater pumping station, and the harbour master’s office equipped with a heat pump), PV production (60kWp), and the BESS (237 kWh capacity) based on a public real dataset are carried out on a one year time series with a 1 h resolution. Simulations indicate that the proposed approach allows 90% exploitation of the production of the PV plant. Furthermore, results are compared to a naïve control approach. The MPC based energy scheduling improves the self-supply by 1.6% compared to the naïve control. Optimization of the business economy using the MPC approach, instead, yields to 8.2% savings in the yearly energy cost with respect to the naïve approach
Keywords: Microgrid | Demand side management | Renewable energy | Energy storage | Energy management | On-line scheduling | Model predictive control | Optimization algorith
مقاله انگلیسی
62 CLOUD act agreements from an EU perspective
CLOUD از منظر اتحادیه اروپا به توافق نامه ها عمل می کند-2020
For many years, transatlantic cooperation between the EU and the US in the area of personal data exchange has been a subject of special interest on the part of lawmakers, courts – including supranational ones – NGOs and the public. When implementing recent reform of data protection law, the European Union decided to further strengthen guarantees of the protection of privacy in cyberspace. At the same time, however, it faced the practical problem of how to ensure compliance with these principles in relation to third countries. The approach proposed in the GDPR, which is based on a newly-defined territorial scope of application, clearly indicates an attempt to apply EU rules extraterritorially in relation to data processors in third countries. Irrespective of EU activity, the United States has also introduced its own regulations addressing the same problem. An example is the federal law adopted in 2018, specifying how to execute national court orders for the transfer of electronic data. The CLOUD Act was established in response to legal doubts raised in the Microsoft v United States case regarding the transfer of electronic data stored in the cloud by US obliged entities to law enforcement authorities, as well as in cases where this data is physically located in another country and its transfer could result in violating the legal norms of a foreign jurisdiction. The CLOUD Act also facilitates bilateral international agreements that enable the cross-border transfer of e-evidence for the purposes of ongoing criminal proceedings. Both the content of the new regulations and the model proposed by the US legislature for future agreements concluded on the basis of the CLOUD Act can be seen as an alternative to regulations arising from EU law. The purpose of this paper is to analyse the CLOUD Act and CLOUD Act Agreements from the perspective of EU law and, in particular, attempt to answer the question as to whether this new legal mechanism brings the EU and the USA closer to finding common ground with regard to a coherent model of exchange and protection of personal data.
Key words: Data protection | Cross-border data flow | CLOUD Act | GDPR | E-evidence
مقاله انگلیسی
63 Deep reinforcement learning for traffic signal control under disturbances: A case study on Sunway city, Malaysia
یادگیری تقویتی عمیق برای کنترل سیگنال ترافیک تحت اختلالات: یک مطالعه موردی در شهر سان وی ، مالزی-2020
In most urban areas, traffic congestion is a vexing, complex and growing issue day by day. Reinforcement learning (RL) enables a single decision maker (or an agent) to learn and make optimal actions in an independent manner, while multi-agent reinforcement learning (MARL) enables multiple agents to exchange knowledge, learn, and make optimal joint actions in a collaborative manner. The integration of the newly emerging deep learning and the traditional RL approach has created an advanced technique called deep Q-network (DQN) that has shown promising results in solving high-dimensional and complex problems, including traffic congestion. In this paper, DQN is embedded in traffic signal control to solve traffic congestion issue, which has been plagued with the curse of dimensionality whereby the representation of the operating environment can be highly dimensional and complex when the traditional RL approach is used. Most importantly, this paper proposes multiagent DQN (MADQN) and investigates its use to further address the curse of dimensionality under traffic network scenarios with high traffic volume and disturbances. To investigate the effectiveness of our proposed scheme, a case study based on an urban area, namely Sunway city in Malaysia, is conducted. We evaluate our scheme via simulation using a traffic network simulator called simulation of urban mobility (SUMO) and a simulation tool called MATLAB. Simulation results show that our proposed scheme reduces the total travel time of the vehicles.
Keywords: Reinforcement learning | Deep reinforcement learning | Multi-agent reinforcement learning | Deep Q-network | Multi-agent deep Q-network | Traffic signal control
مقاله انگلیسی
64 کیفیت حسابرسی و هم حرکتی بازده سهام: شواهدی از ویتنام
سال انتشار: 2020 - تعداد صفحات فایل pdf انگلیسی: 9 - تعداد صفحات فایل doc فارسی: 21
این مقاله با هدف بررسی رابطه بین کیفیت حسابرسی و سطح هم حرکتی بازده سهام در بازار نوظهور ویتنام انجام شده است. این مطالعه تجربی براساس روش کمی و رویکرد قیاسی طراحی شده است. مجموعه داده های ترکیبی شامل 256 شرکت از صنایع مختلف با 1115 مشاهده سالانه در بورس اوراق بهادار شهر "هوشی مینه" در بازه زمانی سال های 2014 تا 2018 است. ما در این تحقیق با استفاده از همزمانی بازده سهام به عنوان متغییر وابسته و کیفیت حسابرسی به عنوان متغیر مستقل، یک مدل رگرسیون اقتصادسنجی ایجاد کردیم. برخی از متغیرهای کنترلی نیز به مدل های رگرسیون اقتصادسنجی اضافه می شوند زیرا تاثیر این مدل ها بر همزمانی قیمت سهام در مطالعات پیشین به خوبی اثبات شده است. به منظور بهبود دقت ضرایب رگرسیون، در کنار حداقل مربعات معمولی، از مدل اثرات تصادفی و برای بهترشدن تحلیل آماری مجموعه داده های ترکیبی از مدل اثرات ثابت استفاده می کنیم. نتایج نشان می دهند که کیفیت حسابرسی با همزمان سازی قیمت سهام رابطه مثبت دارد. این یافته حاکی از آن است که بازده سهام شرکت هایی که سطح کیفی حسابرسی در آنها بالاتر است هماهنگی بیشتری با بازار دارند. نتایج سایر متغیرهای کنترلی نیز از استدلال ما در مورد یافته های اصلی پشتیبانی می کند.
کلیدواژه ها: کیفیت حسابرسی | همزمانی بازده سهام | محیط اطلاعاتی | اطلاعات خاص شرکت | ویتنام
مقاله ترجمه شده
65 Sustainable expatriate compensation in an uncertain environment
غرامت پایدار خارج از کشور در یک محیط نامشخص-2020
This study examines an important area of strategic global human resource management - ex- patriate managers compensation in times of global business uncertainty. While expatriation has numerous well-documented benefits for multinational corporations (MNCs), it is incredibly costly. In consequence, when global business conditions become uncertain, the expatriate pro- gram in MNCs is typically one of the first budget centres to be targeted for cost savings. The MNC typically radically restructures expatriate remuneration. The resultant effect of these actions is a negative impact on the relationship between the expatriate and the MNC, ultimately reducing expatriate performance and thereby abating the many advantages that the expatriate program brings to MNCs. Social Exchange Theory and Real Options theory help to provide a theoretical framework to understand how expatriate compensation decisions can help to create a desirable sustainable expatriate program in MNCs.
Keywords: Expatriate manager | Compensation | Uncertainty | Sustainability | Social exchange theory | Real options theory
مقاله انگلیسی
66 Comparative study of energy management strategies for hybrid proton exchange membrane fuel cell four wheel drive electric vehicle
مطالعه تطبیقی ​​استراتژی های مدیریت انرژی برای سلول های سوختی چهار چرخ محرک تبادل پروتون ترکیبی-2020
Nowadays, many researchers have found that the output performance of a hybrid power system is an important reason to determine fuel cell life. Therefore, the energy management strategy for a hybrid power system is the solution to guarantee the normal operation of the system. In this paper, a comparative study of the most commonly used energy management techniques in fuel-cell vehicle applications in a proposed hybrid four-wheeldrive electric vehicle, these schemes include the following: the classical PI, Fuzzy-logic, State machine and frequency decoupling schemes, to ameliorate the dynamic behaviour of the electric vehicle during transients such as the dynamic response and the electric vehicle stability, and to select the best between those techniques based on many criteria which are the hydrogen consumption, the overall efficiency, the state of charge and the stability of DC bus voltage. The general topology of the electric vehicle is composed with three distributed energy resources, the proton exchange membrane Fuel Cell as the main source and a hybrid energy storage system includes batteries and supercapacitor devices as the auxiliary source, this hybrid power sources system driven the four-wheel-drive electric vehicle composed by four induction motors controlled by a direct torque control with space vector modulation.
Keywords: PEM fuel Cell | Electric vehicle | Power management | 4WDEV | DTC-SVM | DC-DC converter
مقاله انگلیسی
67 Distributed learning on 20 000+ lung cancer patients – The Personal Health Train
یادگیری توزیع شده بر روی 20 000+ بیمار مبتلا به سرطان ریه - آموزش بهداشت شخصی-2020
Background and purpose: Access to healthcare data is indispensable for scientific progress and innovation. Sharing healthcare data is time-consuming and notoriously difficult due to privacy and regulatory concerns. The Personal Health Train (PHT) provides a privacy-by-design infrastructure connecting FAIR (Findable, Accessible, Interoperable, Reusable) data sources and allows distributed data analysis and machine learning. Patient data never leaves a healthcare institute. Materials and methods: Lung cancer patient-specific databases (tumor staging and post-treatment survival information) of oncology departments were translated according to a FAIR data model and stored locally in a graph database. Software was installed locally to enable deployment of distributed machine learning algorithms via a central server. Algorithms (MATLAB, code and documentation publicly available) are patient privacy-preserving as only summary statistics and regression coefficients are exchanged with the central server. A logistic regression model to predict post-treatment two-year survival was trained and evaluated by receiver operating characteristic curves (ROC), root mean square prediction error (RMSE) and calibration plots. Results: In 4 months, we connected databases with 23 203 patient cases across 8 healthcare institutes in 5 countries (Amsterdam, Cardiff, Maastricht, Manchester, Nijmegen, Rome, Rotterdam, Shanghai) using the PHT. Summary statistics were computed across databases. A distributed logistic regression model predicting post-treatment two-year survival was trained on 14 810 patients treated between 1978 and 2011 and validated on 8 393 patients treated between 2012 and 2015. Conclusion: The PHT infrastructure demonstrably overcomes patient privacy barriers to healthcare data sharing and enables fast data analyses across multiple institutes from different countries with different regulatory regimens. This infrastructure promotes global evidence-based medicine while prioritizing patient privacy.
Keywords: Lung cancer | Big data | Distributed learning | Federated learning | Machine learning | Survival analysis | Prediction modeling | FAIR data
مقاله انگلیسی
68 Escalation of negative social exchange: Reflexive punishment or deliberative deterrence?
افزایش تبادل منفی اجتماعی: مجازات بازتابی یا بازدارندگی تعمدی؟-2019
Negative escalation of social exchange exacts significant costs on both individuals and society. Instead of in-kind reciprocity—an eye for an eye—negative reciprocity may escalate, taking two eyes for an eye. We tested two competing mechanisms for negative escalation using a modified dictator game that reliably produces escalating reciprocity to others negative actions but not to positive actions. According to one mechanism, escalation is strategic: a deliberate attempt to deter future harm. According to another mechanism, escalation is reflexive: an impulsive act of retribution without consideration of future consequences. In seven experiments, we find clear evidence consistent with a reflexive mechanism. Encouraging deliberation reduced negative escalation in oneshot interactions as well as in repeated interactions. Focusing on future consequences decreased escalation whereas disabling deliberation increased escalation. Finally, the explicit goal to punish anothers negative behavior increased escalation while the goal of deterring future transgressions did not. These experiments suggest that escalation is a reflexive form of punishment rather than a deliberate act of strategic deterrence. Encouraging, enabling, or training deliberative processes may effectively reduce costly escalation in everyday life.
مقاله انگلیسی
69 خوشامدگویی یا نه؟ - حس امنیت، تعلق خاطر و نگرش های افراد بومی نسبت به فرهنگ پذیری مهاجران
سال انتشار: 2019 - تعداد صفحات فایل pdf انگلیسی: 8 - تعداد صفحات فایل doc فارسی: 25
تنوع فرهنگی به دلیل مهاجرت تبدیل به یک وضوع کلیدی در بسیاری از جوامع امروزی شده است. این سوال که چگونه جمعیت بومی این توسعه ها را تجربه می کند دارای اهمیتی اساسی برای روابط بین فرهنگی است و پایه ای را برای فرهنگ پذیری مهاجران ایجاد می کند. ما با الهام از تحقیقات مربوط به تعلق خاطر و چند فرهنگی بودن، در اینجا فرض می کنیم که حس امنیت عمومی و خصوصی می تواند به نگرش های مثبت تر به تنوع فرهنگی مربوط شود درحالیکه حس تهدید می تواند به آزادی کمتر مربوط شود. به صورت صریح تر، مطالعه حاضر به بررسی این موضوع پرداخته است که چگونه تعلق خاطر عمومی افراد بومی (امن یا ترسان) و نیز حس امنیت (فرهنگی یا اقتصادی) خاص آنها می تواند به تجربیات آنها درباره فرهنگ پذیری مهاجران در کشور چند فرهنگه لوکزامبورگ مربوط شود. نمونه ما شامل 134 فرد لوکزامبورگی با میانگین سنی 02/45 (انحراف معیار 41/17) بود که یک پرسشنامه آنلاین را پر کردند. نتایج نشان داد که تعلق خاطر عمومی خود – گزارش شده توسط افراد ترسان رابطه ای مثبت با جهت گیری های غیر خوشامدگویانه ترِ فرهنگ پذیری دارد. روابط بین تعلق خاطر عمومی و جهت گیری های فرهنگ پذیری توسط حس امنیت فرهنگی وساطت می شود که تاثیراتی قوی روی جهت گیری های (غیر) خوشامدگویانه افراد بومی نسبت به دلستگی عمومی دارند. یافته ها بیانگر این هستند که جهت گیری های غیر خوشامدگویانه درقبال مهاجران که شامل آزادی برای برقراری رابطه و تبادل فرهنگی می شود، با حس امنیت فرهنگی و اقتصادی که به صورت جزئی توسط یک تعلق خاطر عمومی امن یا ترسان منحرف می شود، رابطه دارد. بنابراین به نظر می رسد که حس امنیت یک پایه امنی را برای دامنه و آزادی تنوع فرهنگی فراهم می کند که به منظور مواجهه موفقیت آمیز با چالش های جوامع چند فرهنگه امروزی مورد نیاز هستند.
مقاله ترجمه شده
70 Industrial blockchain based framework for product lifecycle management in industry 4.0
چارچوب مبتنی بر بلاکچین صنعتی برای مدیریت چرخه عمر محصول در صنعت 4.0-2019
Product lifecycle management (PLM) aims to seamlessly manage all products and information and knowledge generated throughout the product lifecycle for achieving business competitiveness. Conventionally, PLM is implemented based on standalone and centralized systems provided by software vendors. The information of PLM is hardly to be integrated and shared among the cooperating parties. It is difficult to meet the requirements of the openness, interoperability and decentralization of the Industry 4.0 era. To address these challenges, this paper proposed an industrial blockchain-based PLM framework to facilitate the data exchange and service sharing in the product lifecycle. Firstly, we proposed the concept of industrial blockchain as the use of blockchain technology in the industry with the integration of IoT, M2M, and efficient consensus algorithms. It provided an open but secured information storage and exchange platform for the multiple stakeholders to achieve the openness, interoperability and decentralization in era of industry 4.0. Secondly, we proposed and developed customized blockchain information service to fulfill the connection between a single node with the blockchain network. As a middleware, it can not only process the multi-source and heterogeneous data from varied stages in the product lifecycle, but also broadcast the processed data to the blockchain network. Moreover, smart contract is used to automate the alert services in the product lifecycles. Finally, we illustrated the blockchain-based application between the cooperating partners in four emerging product lifecycle stages, including co-design and co-creation, quick and accurate tracking and tracing, proactive maintenance, and regulated recycling. A simulation experiment demonstrated the effectiveness and efficiency of the proposed framework. The results showed that the proposed framework is scalable and efficient, and hence it is feasible to be adopted in industry. With the successful development of the proposed platform, it is promising to provide an effective PLM for improving interoperability and cooperation between stakeholders in the entire product lifecycle.
Keywords: Product lifecycle management | Industrial blockchain | Smart contract | Industry 4.0
مقاله انگلیسی
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