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ردیف | عنوان | نوع |
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1 |
Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature Selection
روش ترکیبی کوانتومی-کلاسیک برای تشخیص تقلب با انتخاب ویژگی کوانتومی-2022 This paper presents a first end-to-end application of a Quantum Support Vector Machine
(QSVM) algorithm for a classification problem in the financial payment industry using the IBM Safer
Payments and IBM Quantum Computers via the Qiskit software stack. Based on real card payment
data, a thorough comparison is performed to assess the complementary impact brought in by the current
state-of-the-art Quantum Machine Learning algorithms with respect to the Classical Approach. A new
method to search for best features is explored using the Quantum Support Vector Machine’s feature map
characteristics. The results are compared using fraud specific key performance indicators: Accuracy, Recall,
and False Positive Rate, extracted from analyses based on human expertise (rule decisions), classical
machine learning algorithms (Random Forest, XGBoost) and quantum-based machine learning algorithms
using QSVM. In addition, a hybrid classical-quantum approach is explored by using an ensemble model
that combines classical and quantum algorithms to better improve the fraud prevention decision. We found,
as expected, that the results highly depend on feature selections and algorithms that are used to select them.
The QSVM provides a complementary exploration of the feature space which led to an improved accuracy
of the mixed quantum-classical method for fraud detection, on a drastically reduced data set to fit current
state of Quantum Hardware.
INDEX TERMS: Fraud Detection | Quantum | Feature Selection | QSVM | Quantum Kernel Alignment |
مقاله انگلیسی |
2 |
Quantum-Enabled 6G Wireless Networks: Opportunities and Challenges
شبکههای بیسیم 6G با قابلیت کوانتومی: فرصتها و چالشها-2022 With the increasing number of commercial
5G deployments, research on beyond 5G (B5G)
and 6G has started in earnest. Although it is too
early to clearly identify what 6G systems will look
like or how they will be designed, it is certain
that 6G systems will support novel use cases with
challenging key performance indicators (KPIs),
which will be empowered by new enabling technologies and network architectures. In parallel
with the evolution of cellular systems from 5G
toward 6G, quantum information technology
(QIT) has been evolving rapidly in recent years
in terms of quantum communications and quantum computing. It is envisioned that QIT will
enable and boost future 6G systems from both
communication and computing perspectives. For
example, secure quantum communications such
as quantum key distribution can be leveraged to
improve 6G security. This article aims to provide
a technology-driven and visionary description
and exploration on how QIT can be leveraged
for future 6G wireless networks.
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مقاله انگلیسی |
3 |
Attention-based model and deep reinforcement learning for distribution of event processing tasks
مدل مبتنی بر توجه و یادگیری تقویتی عمیق برای توزیع وظایف پردازش رویداد-2022 Event processing is the cornerstone of the dynamic and responsive Internet of Things (IoT).
Recent approaches in this area are based on representational state transfer (REST) principles,
which allow event processing tasks to be placed at any device that follows the same principles.
However, the tasks should be properly distributed among edge devices to ensure fair resources
utilization and guarantee seamless execution. This article investigates the use of deep learning
to fairly distribute the tasks. An attention-based neural network model is proposed to generate
efficient load balancing solutions under different scenarios. The proposed model is based on
the Transformer and Pointer Network architectures, and is trained by an advantage actorcritic reinforcement learning algorithm. The model is designed to scale to the number of
event processing tasks and the number of edge devices, with no need for hyperparameters
re-tuning or even retraining. Extensive experimental results show that the proposed model
outperforms conventional heuristics in many key performance indicators. The generic design
and the obtained results show that the proposed model can potentially be applied to several
other load balancing problem variations, which makes the proposal an attractive option to be
used in real-world scenarios due to its scalability and efficiency.
keywords: Web of Things (WoT) | Representational state transfer (REST) | application programming interface (APIs) | Edge computing | Load balancing | Resource placement | Deep reinforcement leaning | Transformer model | Pointer networks | Actor critic |
مقاله انگلیسی |
4 |
Accounting for Safety Barriers Degradation in the Risk Assessment of Oil and Gas Systems by Multistate Bayesian Networks
حسابداری برای تخریب موانع ایمنی در ارزیابی ریسک سیستم های نفت و گاز توسط شبکه های چندگانه بیزی-2021 In this paper, a multistate Bayesian Network (BN) is proposed to model and evaluate the functional performance
of safety barriers in Oil and Gas plants. The nodes of the BN represent the safety barriers Health States (HSs) and
the corresponding conditional Failure Probability (FP) values are assigned. HSs are assessed on the basis of
specific Key Performance Indicators (KPIs) related to the barrier characteristics (i.e., technical, procedural or
organizational, continuously monitored or event-based characterized). FP values are estimated from failure
datasets (for technical barriers), evaluated by Human Reliability Analysis (HRA) (for operational and organi-
zational barriers) and assigned by expert elicitation (for barriers lacking data or information). For illustration,
the multistate BN model is developed for preventive barriers and applied to a case study related to the potential
release of flammable material in the slug catcher of a representative O&G Upstream plant which may lead to
major accident scenarios (fire, explosion, toxic dispersion). The results from the case study demonstrate that the
multistate BN model is able to account for the safety barriers HS and their associated functional performance. keywords: ارزیابی ریسک کمی | ارزیابی خطر زندگی | شبکه بیزی | مانع ایمنی | شاخص عملکرد کلیدی | حاشیه ایمنی احتمالی | Quantitative Risk Assessment | Living Risk Assessment | Bayesian Network | Safety Barrier | Key Performance Indicator | Probabilistic Safety Margins |
مقاله انگلیسی |
5 |
Drag-mode airborne wind energy vs: wind turbines: An analysis of power production, variability and geography
کشیدن حالت باد موجود در هوا توربین های بادی در مقابل انرژی: تجزیه و تحلیل تولید برق، تنوع و جغرافیا-2020 Airborne wind energy (AWE) is a wind power technology that harvests energy at high altitudes. The
performance of AWE systems relative to traditional wind power turbines (WT) is of key relevance to any
future commercialization. In particular, the power generation as well as its consistency over time will be
key performance indicators. This study aims at identifying crucial factors that will influence the
competitiveness of drag-mode AWE systems against WTs. To that end, the hourly power production of
several drag-mode AWE designs is investigated using realistic wind data, and compared to the hourly
power production of classical WTs. These results are then analyzed through three performance indicators:
total annual power production, Gini coefficient, and correlation coefficient. The results show
that AWE systems with multiple smaller wings have the highest annual production. The AWE power
production of all AWE systems correlates in time at all sites with the production of WTs, and the Gini
coefficients are similar. This observation challenges the belief that AWE systems will outcompete WTs
thanks to a more consistent power output than WTs. However, the wing design as well as the local wind
shear have a significant impact on the AWE performance. Keywords: Airborne wind energy | Wind energy | Performance study | Optimal control |
مقاله انگلیسی |
6 |
A dynamic supply chain BSC-based methodology to improve operations efficiency
یک روش مبتنی بر BSC مبتنی بر زنجیره تامین برای بهبود بهره وری عملیات-2020 This paper presents how to objectively set up the process for activation of the future action plans from a
supply chain Balanced Scorecard (BSC), aligning such an activation process to reach the main objectives
and being able to save resources. Additionally, it also shows how to define supply chain business scenarios
based on the future expected values of the Key Performance Indicators (KPI). Once the future business
scenario has been chosen, the KPI values associated with this scenario will become the new KPI values of
the BSC in order to align efforts and save resources Further, the strategic objectives associated with the
KPIs may also be extensively retuned, thus redefining their target values. From the application carried
out, there were four KPIs whose values needed, in absolute terms, to be increased and four other KPIs to
be decreased. Additionally, the associated strategic objectives were retuned; for example, the value of
the strategic objective “To reduce product development costs” was initially set in the BSC at 10 % but it
was deduced to 8% as a consequence of the application of the proposal. As a result, this methodology has
aligned all the future efforts of a whole supply chain in order to reach one point on a plane, which is a
combination of interrelated supply chain KPI. Keywords: Performance management | Scenarios | Principal component analysis | Operations efficiency |
مقاله انگلیسی |
7 |
Farmers’ perceptions and management of risk in rice/shrimp farming systems in South-West Coastal Bangladesh
برداشت کشاورزان و مدیریت ریسک در برنج / میگو و سیستم های کشاورزی در جنوب غربی ساحل بنگلادش-2020 Farmers in Bangladesh face considerable risk due to fluctuations in biophysical and economic conditions, but the
response to these risks is poorly understood. In particular, there is a need to better understand the endogenous
management of risk in the rice/shrimp farming systems that have emerged in the inner coastal zone of
Bangladesh. This paper draws on a case study of a typical rice/shrimp farming village in Khulna District to
explore: (a) farmers’ perceptions of risks and their management responses, (b) risk-return trade-offs within
small-, medium-, and large-farm households, and (c) the role of other farm and non-farm activities in mitigating
risks to household livelihoods. Farm-level data were collected through a reconnaissance survey, a village census,
household case studies, and a sample survey of 73 households. Representative farm budgets were constructed for
the three farm-size classes. The key performance indicators calculated were gross margin (GM), net income (NI),
and GM per workday of family labour. The riskiness of the rice/shrimp system was assessed for each farm type
using farmers’ estimates of low, normal, and high yields and prices to specify triangular distributions.
Cumulative distribution functions (CDFs) for GM, NI, and GM per workday were generated. A whole-farm
economic analysis was also conducted to assess the relative contributions of different sources of income for each
farm type. With access to saline water for shrimp farming in the dry season and fresh water for rice in the wet
season, farmers have developed and progressively adapted an alternating rice/shrimp farming system that has
minimised the trade-offs between the two crops and provides a good return to household and village resources
for all farm types. The system is subject to significant production and market risks, especially the shrimp
component. However, farmers have clearly perceived these risks and ameliorated them through a range of
production, marketing, and management strategies. With these risk management practices, the rice/shrimp
cropping system is economically viable, given the current variation in yields and prices. The greater risk associated
with the shrimp component was offset by the renewed stability of the rice component over the past
decade, and the risks of the whole cropping system were offset by other farm and non-farm sources of livelihood.
Development interventions need to work with farmers to provide further options (suitable rice varieties, solutions
to shrimp disease, improved village and transport infrastructure) if this resilience is to be maintained. Keywords: Production risk | Market risk | Risk management | Rice | Shrimp | Farming systems | Farm economics | Coastal environment | Sustainability |
مقاله انگلیسی |
8 |
Real-time supply chain: A blockchain architecture for project deliveries
زنجیره تأمین زمان واقعی: معماری بلاکچین برای تحویل پروژه-2019 Real-time tracking and tracing are important in providing a unified view of global supply chains consisting of
several parties. This paper illustrates the needs and requirements for managing supply chains in multi-company
project environments by adopting various tracking and tracing technologies. This kind of tracking and tracing is
especially needed within distributed architectures engaged in project-based businesses, where several vendors
are involved in a single project. Such tracking and tracing data can be used extensively to generate key performance
indicators, which can be used to measure and control supply chain processes. This paper also proposes
a pilot system of a cloud-based portal for real-time tracking and tracing of logistics and supply chains. This portal
is formed by the combination of RFID, IoT and blockchain technology into an integrated real-time view. RFID
(Radio Frequency Identification) and IoT (Internet of Things) provides real-time information or data, while
blockchain technology is used to provide a chain of immutable transactions. The architecture of the proposed
portal system is connected to transport companies, tracking devices, consolidation points and suppliers. The pilot
study also illustrates the benefits and advantages of such a portal system. Keywords: Supply chain management | Real-time | Blockchain | Key performance indicators |
مقاله انگلیسی |
9 |
تحلیل ریسک عملیاتی داده محور در تدارکات تجارت الکترونیک
سال انتشار: 2019 - تعداد صفحات فایل pdf انگلیسی: 7 - تعداد صفحات فایل doc فارسی: 22 کارایی تدارکات تجارت الکترونیک(ECL) یکی از فاکتورهای مهم موفقیت شرکت های تجارت الکترونیک در بازارهای رقابتی امروز است. به هر حال، اجرای ECL فرایندی پیچیده و آسیب پذیر در برابر بسیاری از خطرات است که این عامل تهدید مهمی برای عملکرد می باشد. درک کامل این خطرات نیازمند اجرای اندازه گیری های هدفمند برای کاهش موثر تاثیرات سو می باشد. بنابراین، در این تحقیق یک روش تحلیل کمیتی برای خطرات اجرایی درECL بر اساس اطلاعات بدست امده از تعاملات تجارت الکترونیک ارائه شده است. بخصوص اینکه، فرایند اجرای ECL از طریق تحلیل پیوسته فعالیت های کلیدی بدست می آید. سپس، با در نظر گرفتن زمان اجرا به عنوان شاخص کلیدی عملکرد، الگوهای عملکردی در فازهای مختلف اجرا تحلیل می شوند. در ادامه، با در نظر گرفتن پراکندگی های مختلف در فازهای مختلف و بخصوص توزیع چند بعدی زمان انتقال، روش تحلیل خطر با استفاده از مدل ترکیبی گاسیان (GMM) برای تحلیل خطر مطرح شده است. در نهایت، یک مطالعه موردی برای اندازه گیری خطرات اجرایی با استفاده از اطلاعات واقعی معرفی شده است و چند مورد از کاربردها همراه با نتایج بیان شده اند.
کلمات کلیدی: تدارکات تجارت الکترونیک | ریسک های اجرایی | تحلیل داده، تحلیل ریسک | مدل ترکیب گاسیان |
مقاله ترجمه شده |
10 |
پیاده سازی و یکپارچه سازی سیستم ERP در یک شرکت جهانی به صورت یک تصمیم استراتژیک برای کارآفرینی پایدار
سال انتشار: 2018 - تعداد صفحات فایل pdf انگلیسی: 16 - تعداد صفحات فایل doc فارسی: 32 در این مقاله عوامل مرتبط با پیاده سازی و یکپارچه سازی سیستم ERP (برنامه ریزی منابع سازمانی) و تاثیر آن بر توسعه پایدار را در شرکت های جهانی مورد بررسی قرار می دهد. این مقاله یک مدل شناختی مبتنی بر چنین تاثیری را نشان و نمونه ای را در قالب مطالعه موردی از یک شرکت جهانی که در بورس اوراق بهادار NASDAQ ثبت شده بود، ارائه می دهد. اهداف اساسی و استراتژیک هر سازمان عبارت است از: رشد و پایداری درازمدت. در یک محیط رقابتی رو به رشد، ضروری است که شرکت به طور موثر مدیریت شود. این را می توان با در نظر داشتن ساختار سازمانی و عملیات شرکت مبتنی بر سیستم ERP به درستی تنظیم کرد. نتایج پژوهش با هدف ایجاد فرایند عمومی و عمیق پیاده سازی تدریجی سیستم ERP، به منظور ایجاد یک سازمان پیشرفته بوجود آمده است. مقاله بر توصیف پیاده سازی و یکپارچه سازی سیستم برنامه ریزی منابع سازمانی، در یک شرکت جهانی که در بورس اوراق بهادار NASDAQ ثبت شده است، متمرکز است. هدف مقاله بررسی و ارزیابی ارتباطات بین برنامه ریزی منابع سازمانی و مدیریت ارتباط با مشتری است. این فرآیند وقت گیر و پرهزینه است. برای دستیابی به هدف، مطالعه موردی به صورت یک بررسی تخصصی انجام شده است که این کار با هدف ارزیابی تاثیر یکپارچه سازی و پیاده سازی سیستم ERP در یک شرکت جهانی صورت گرفته است. این مطالعه شامل روش های تجزیه و تحلیل سیستمیک، روش بررسی جامعه شناختی کارشناسی، روش بازبینی کیفی و یک روش مبتنی بر یک مدل شناختی است. این نه تنها به مدیریت موثر شرکت های جهانی منجر می شود، بلکه به بررسی و مقایسه شاخص های عملکرد کلیدی و امتیاز خالص ارتقا دهنده شبکه را در هر کشور با استفاده از پارامترهای مشابه می پردازد. پیاده سازی یک سیستم برنامه ریزی منابع سازمان یکپارچه منجر به کاهش قابل توجه هزینه می شود و تاثیر مثبتی بر شاخص های مالی گزارش شده در بورس اوراق بهادار دارد. این مطالعه اهمیت پیاده سازی یک سیستم ERP موثر را برای توسعه سازمان ها پایدار دانست.
کلمات کلیدی: سیستم مدیریت ارتباط با مشتری | سیستم برنامه ریزی منابع سازمانی | شرکت جهانی | شاخص های اصلی عملکرد | فناوری های نوین | نمره خالص پروموتر | ساختار سازمانی | توسعه استراتژیک | پایداری |
مقاله ترجمه شده |