با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
21 |
oReview on fingerprint-based identification system
مرور سیستم شناسایی مبتنی بر اثر انگشت-2021 The Biometric fingerprints are the widely utilized personal recognition tool because of their uniqueness, reliability and individuality. The fingerprint images consist of a design of the canyon & corrugation on human’s fingertips. Fingerprint validation is perhaps the most experienced methods for every biometric technique that has been rigorously substantiate through several applications. Every human being recognition methods using fingerprints are depending on one of the 3 methods: hybrid, correlation-based and Minutiae-based. This paper gives the review of different fingerprint recognition methods & then discusses the general minutiae-depend fingerprint identification systems. In present time the best form of recognizing the person or investigation of any case is figure print. Identifying speculate depend on fingerprint is a proceeding that is exceedingly important to the forensics & law for enforcement agencies. A small numbers of minutiae & the noise attribute make it exceedingly difficult to instinctive match the fingerprints to their acquaintance full prints that are accumulated in databases.© 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Virtual Conference on Sustainable Materials (IVCSM-2k20). Keywords: Correlation | Finger prints | Histogram | Ridges | Segmentation |
مقاله انگلیسی |
22 |
A survey: Intelligent system for imposter detection
یک مرور: سیستم هوشمند برای تشخیص جعل کننده-2021 This study aims the impostor is a very cunning person who reaches an obsessive stage to perfection in impersonating someone in actual life, concentrates on his biometric. He analyzes the controls, restrictions, and obstacles that he will face to overcome them. The technologies biometric recognition performs a greatly important role in impostor detection. Biometrics properties refer to the automatic recognition of persons depending on their behavioral and physiological characteristics. Biometrics comprises face recognition, fingerprint, voice recognition, retinal scanning, and so on. Biometrics may increment the reliability of an ID card system. In this paper, a review of the concepts mentioned above will be provided. At first, a presentation about a procedural overview of biometric recognition technologies, ID card systems. Then dissection will be presented for the review of the most recent techniques. A description of each concept will be given and a comparison study is achieved with formal discussion and analysis for each approach result introduces in this study. Finally, a summary of the research results is given.© 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the Emerging Trends in Materials Science, Technology and Engineering. Keywords: Face recognition | Voice recognition | Finger print | Biometric systems | ID card | Person identification | Impostor detection | Machine learning | Deep neural networks |
مقاله انگلیسی |
23 |
Ecosystem accounting to support the Common Agricultural Policy
حسابداری اکوسیستم برای حمایت از سیاست های کشاورزی مشترک-2021 The System of Environmental-Economic Accounting - Ecosystem Accounting (SEEA EA) provides an integrated
statistical framework which organizes spatially explicit data on environmental quality, natural capital and
ecosystem services and links this information to economic activities such as agriculture. In this paper we assess
how the SEEA EA can support the monitoring and evaluation of environmental objectives of the Common
Agricultural Policy (CAP). We focus on the Netherlands, for which an elaborate set of SEEA EA accounts has been
published, and the themes of nitrogen pollution and farmland biodiversity. We studied the completeness of in-
dicators included in the accounts, their quality and analysed how the accounts could support agri-environmental
reporting, agri-environmental measures effectiveness assessments, and results-based payments to farmers. As a
reference we used the Driving forces – Pressures – State – Impacts - Responses (DPSIR) framework. The Dutch
SEEA EA accounts only include half of the indicators which we considered essential to assess the effects of
farming on natural capital and ecosystem services for the two studied environmental themes. However, most
gaps in the accounts could be filled with other publicly available environmental monitoring data. Regarding N
pollution, the availability and reliability of indicators at landscape and farm scales are not sufficient to support
the assessment of agri-environmental measures effectiveness and results-based payments to decrease N pollution.
The accounts have a higher potential to support the assessment of measures to conserve farmland biodiversity, in
particular due to high resolution maps of ecosystem extent and ecosystem services flows. The potential of the
SEEA EA accounts may be more limited in other countries where ecosystem accounting has only recently started.
However, the SEEA EA is also implemented at the European Union scale, so that SEEA EA indicators will
gradually become available for all European countries. To enhance the relevance of the SEEA EA in the agri-
environmental policy area, we recommend to integrate information on farming emissions (externalities) recor-
ded in the SEEA Central Framework with SEEA EA accounts and evaluate the applicability of SEEA EA accounts
for case studies at landscape and farm scales. Our research shows that the Dutch SEEA EA accounts, com-
plemented with other data sources, have potential to strongly enhance the CAP monitoring and evaluation
framework but further steps need to be taken to fill data gaps. keywords: اقدامات زیست محیطی | کلاه لبه دار | رادیو | پایتخت طبیعی | خدمات محیط زیستی | زمینه های کشاورزی | Agri-environment measures | CAP | SEEA EA | Natural capital | Ecosystem services | Farming externalities |
مقاله انگلیسی |
24 |
A study related to product service systems (PSS), SERVQUAL and knowledge management system (KMS) – A review
مطالعه مربوط به سیستم های خدمات محصول (PSS)، SERVQUAL و سیستم مدیریت دانش (KMS) - یک مرور-2021 PSS is a growing field of research in industry practice in today’s global economy. It is a new trend that has
an impact on both the production and consumption of resources. PSS aims at a more profitable and conservational usage of products. While in the past providing services was one of the strategies attained to
differentiate in competition, however today providing a product together with many services has become
a standard practice in the product industry. To remain competitive, manufacturers are forced not only to
produce a competitive product however rather a superior PSS.PSS are outlined as life cycle bound combinations of a product and completely different services, having sophisticated networks, that comprise a
manufacturer as a provider and also as a repair partner. To enable the applicability of a PSS in an industry,
it is essential to evaluate the system using metrics – the SERVQUAL MODEL, which defines ‘‘The quality as
the difference between the customers’ expectations & perceptions concerning the services delivered to
them” [1]. It is catered to measure quality by capturing the expectancy – confirmation paradigm which
suggests the consumer’s perceived quality of how well a given service delivery meets their expectations
of that delivery. So this SERVQUAL metric is used to determine the level of quality in the industry and the
five dimensions are such as tangibility, reliability, responsiveness, assurance & empathy are measured
using a five-point Likert scale. Since, organizations are more and more moving towards knowledgebased strategies, developing and managing knowledge is essential for improving the organizational performance as well as for enhancing decision-making process. This paper presents a review on the use of a
knowledge management practice in PSS for industries to store, share and utilize knowledge for enhancing
creativity & innovation in their service systems. An efficient review of the literature has been conducted
in the academic and scientific databases taking into account the date of publication of the articles titled
PSS, SERVQUAL and KMS from 2009 to 2020. To achieve the review process, all selected articles have been
categorized by publication year, the objectives of the research, the methodology used, the results, conclusion and future scope of their research are presented on a broader scale [16]. Therefore, this paper presents an overview of the literature on PSS and the evaluation methods using SERVQUAL MODEL and the
role of knowledge management in PSS and the appropriate ideas for conducting research in the future.
Copyright 2021 Elsevier Ltd. All rights reserved.
keywords: سیستم خدمات محصول | مدل SERVQUAL | سیستم مدیریت دانش | تصمیم گیری | Product service system | SERVQUAL MODEL | Knowledge management system | Decision-making |
مقاله انگلیسی |
25 |
Ontology-augmented Prognostics and Health Management for shopfloor-synchronised joint maintenance and production management decisions
پیش آگهی و مدیریت سلامت با هستی شناسی تقویت شده برای تصمیمات مدیریت تولید و نگهداری مشترک هماهنگ شده با کف مغازه-2021 In smart factories, guaranteeing shopfloor-synchronised and real-time decision-making is essential to be
responsive to the ever-changing internal environment, namely the shopfloor of the production system and assets.
At operational level, decisions should balance counter acting objectives of maintenance and production; there-
fore, their decision-making processes should be joint and coordinated, to fulfil production requirements
considering the health state of the assets. The knowledge of the current state is promoted by the application of
Prognostics and Health Management (PHM) as an aid to support informed decision-making. Nevertheless, PHM-
purposed information is usually not complete in terms of production requirements. To support joint maintenance
and production management decisions, an ontological approach is proposed. The ontology, called ORMA
(Ontology for Reliability-centred MAintenance), has a modular structure, including formalisation of asset, pro-
cess, and product knowledge. Via suitable relationships, rules, and axioms, ORMA can infer product feasibility
based on the current health state of the assets and their functional units. ORMA is implemented in a Flexible
Manufacturing Line at a laboratory scale. Therein, an integrated solution, involving a health state detection
algorithm that interacts with the ontology, supports human decision-making via a web-based dashboard; joint
maintenance and production management decisions can be then taken, relying on diversified information pro-
vided by the PHM algorithm as well as the augmentation via ontology reasoning. The proposed ontology-based
solution represents a step towards reconfigurability of smart factories where human and automated decision-
making processes work in synergy. keywords: هستی شناسی | استدلال | پیشگویی و مدیریت بهداشت | phm | نگهداری | تولید | Ontology | Reasoning | Prognostics and health management | PHM | maintenance | production |
مقاله انگلیسی |
26 |
Accounting and auditing of credit loss estimates: The hard and the soft
حسابداری و حسابرسی تخمین زیان اعتباری: سخت و نرم-2021 A key goal of financial reporting is to address information asymmetries, which are amplified in the
case of banks given their credit, maturity and liquidity transformation and complex, judgmental
accounting standards dealing with expected credit losses (ECL).
The paper explores the role of bank management in estimating and recognizing ECL, and how
external auditors challenge the resulting figures. Based on analysis of G-SIB disclosures, it concludes that management and auditors tend to prioritize observable and verifiable, hard information
to reduce challenge to their reported estimates and protect against the threat of legal liability.
Emphasis on such information facilitates loss deferral, damaging the reliability of banks’ financial
reporting, obscuring their safety and soundness picture and jeopardizing financial stability.
Based on these conclusions, the paper seeks to open a new path to the research and policy analysis of credit loss recognition, introducing proposals to address the procyclicality of credit loss
accounting by tackling inappropriate incentives that decouple risk taking from its translation onto
banks’ financial statements.
keywords: انتظارات اعتباری انتظار می رود | عدم تقارن اطلاعات | افشای | عوارض جانبی | ثبات اقتصادی | پروسیکیت | Expected Credit Losses | Information asymmetries | Disclosures | Externalities | Financial stability | Procyclicality |
مقاله انگلیسی |
27 |
Can we trust Einstein’s accounts of the genesis of special relativity?
آیا میتوانیم به گزارشهای انیشتین درباره پیدایش نسبیت خاص اعتماد کنیم؟-2021 There are three kinds of sources available to reconstruct the reflections that led Einstein to special relativity: a few
contemporary letters and documents, his impersonal accounts of the genesis of this theory, and recollections of his
own path. At first glance, contradictions within and between these sources hamper the reliability of Einstein’s
accounts. Yet, a closer analysis reveals much more consistency than foreseen and helps eliminate the dubious,
contradictory elements. It then becomes possible to combine the three kinds of sources to produce a minimally
speculative and yet fairly coherent account of the genesis of special relativity.
keywords: انیشتین | نسبیت خاص | خاطرات | بازسازی | Einstein | Special relativity | Recollections | Reconstruction |
مقاله انگلیسی |
28 |
Factors influencing blockchain adoption in supply chain management practices: A study based on the oil industry
عوامل موثر بر پذیرش بلاکچین در راهکارهای مدیریت زنجیره تامین: مطالعه ای مبتنی بر صنعت نفت-2021 Planning to adopt the Blockchain is very active in many industries, especially in supply chains. Researchers
believe that the Radio-frequency identification (RFIDs), yesterday’s Blockchain, is now obsolete. The
strongest reason that the Blockchain is the tool of this era is its unique features; real-time information sharing, cyber-security, transparency, reliability, traceability, and visibility, all of which boost the
supply-chain performance. Despite the extensive literature on Blockchain, in recent years, no clear framework has defined whether a supply chain should implement Blockchain or not. This study attempts to fill
this gap by proposing a framework for complex supply chain networks. In doing so, first, we identified
the supply-chain practices of the oil industry in Pakistan, then we empirically analyzed the impact of
these practices on operational performance. The results show that the supply chain management (SCM)
practices positively impact operational performance. On the other hand, with the help of literature, we
identified different Blockchain features and their influence on different supply chain practices. This study
guides managers and decision-makers to evaluate their current supply-chain practices and understand
the relationship between supply-chain practices and Blockchain features, and how different Blockchain
features can help improving supply-chain practices and ultimately improving operational performance. Keywords: Blockchain | Blockchain features | Supply chain management | Supply chain management practices | Operational performance, oil industry | supply Chain |
مقاله انگلیسی |
29 |
New method for a SEM-based quantitative microstructural clay analysis - MiCA
روش جدید برای تجزیه و تحلیل کمی خاک رس ریزساختاری مبتنی بر SEM - MiCA-2021 The soil microstructure is recognised to strongly influence the mechanical behaviour of both coarse and fine geomaterials. Proper identification and tracking of the shape and position of the particles has become more and more critical to form a link between the micro and macro behaviour. Scanning Electron Microscopy (SEM) has been widely used in the last decades to study the clay fabric variation with its mechanical behaviour and physical properties. However, the particles orientation has so far been discussed only from a qualitative point of view due to the lack of updated, automatised quantification tools. Consequently, developing constitutive models that correlate the soil micro structure to its mechanical behaviour is not feasible. In order to make a step forward in this direction, an Image Analysis based code called MiCA (microstructural clay analyser) capable of quantifying the particle orientation and the porosity of clay samples through the analysis of SEM micrographs was developed in this study. The code reliability was first validated through the application to geometrical reference patterns, then to textbook micrographs illustrating typical clay fabrics (dispersed, honeycomb, flocculated and aggre- gated), and finally to high quality images. MiCA showed good accuracy in the results obtained, regardless of the number of lines in the image, the complexity of the geometrical shapes and the pixel size of the analysed graphs. Therefore, MiCA can be considered suitable for quantitative analysis of the particle orientation and/or pores shape in clay materials. Keywords: Image analysis | Computer vision | Quantitative analysis | Clay particles orientation | SEM | Clay porosity |
مقاله انگلیسی |
30 |
ارتقای تحلیل قابلیت اطمینان انسان برای سیستمهای ریلی با استفاده از منطق فازی
سال انتشار: 2021 - تعداد صفحات فایل pdf انگلیسی: 15 - تعداد صفحات فایل doc فارسی: 40 اتحادیهی بینالمللی راهآهن در گزارش ایمنی سالانهی خود بر این نکته تأکید دارد که هر ساله عامل انسانی یکی از علل اصلی حوادث ریلی به شمار میآید. در نتیجه، مطالعهی قابلیت اطمینان انسان یک اصل اساسی بوده و بایستی در ارزیابی کامل قابلیت اطمینان برای تمامی سیستمهای ریلی گنجانده شود. بااینحال، RARA (ارزیابی قابلیت اطمینان عملکرد ریلی) تنها رویکرد موجود در متون و مقالات است که عملکرد انسان را لحاظ نموده و مختص به کاربردهای ریلی است. اشکال اصلی RARA تأثیر ذهنیت متخصص و دشواری ارزیابی عددی برای پارامترهای مدل در نبود یک پایگاه دادهی جامع برای خطا و حوادث ترافیکی است. این مقاله یک مدل فازی نوآورانه برای ارزیابی عامل انسانی در سیستمهای حساس به ایمنی برای کاربردهای ریلی جهت حل و فصل مشکلات بیانشده ارائه میدهد. منطق فازی امکان سادهسازی ارزیابی پارامترهای مدل با استفاده از متغیرهای کلامی بسیار شبیه به فرایند شناختی انسان را فراهم میآورد. به علاوه، این با شیوهای به مراتب بهتر از روش قطعی کلاسیک با دادههای ناقص و فاقد عدم قطعیت برخورد نموده و انتزاعی بودن ارزیابی تحلیلگر را به حداقل میرساند. خروجی الگوریتم پیشنهادی، نتیجهی محاسبات بازهای فازی، نظریهی α-cut و روش فازیزدایی مرکز ثقل است. روش پیشنهادی برای عملکردهای انسانی انجامگرفته در یک سیستم پیامرسانی ریلی استفاده شده است. چهار اقدام انسانی و دو سناریو جهت تحلیل عملکرد الگوریتم پیشنهادی شبیهسازی شدند. نهایتاً نتایج این روش با روش RARA کلاسیک مقایسه شده و بیانگر نتایج سازگار با رویکردی سادهتر و شهودیتر با پیچیدگی کمتر است.
کلیدواژه ها: منطق فازی | عوامل انسانی | مهندسی قابلیت اطمینان | مهندسی راهآهن | تعمیرات و نگهداری |
مقاله ترجمه شده |