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نتیجه جستجو - DPR

تعداد مقالات یافته شده: 48
ردیف عنوان نوع
1 Efficient biometric-based identity management on the Blockchain for smart industrial applications
مدیریت هویت مبتنی بر بیومتریک کارآمد در Blockchain برای کاربردهای صنعتی هوشمند-2021
In this work, we propose a new Blockchain-based Identity Management system for smart industry. First, we describe an efficient biometric-based anonymous credential scheme, which supports selective disclosure, suspension/thaw and revocation of credentials/entities. Our system provides non-transferability through a freshly computed hidden biometric attribute, which is generated using a secure fuzzy extractor during each authentication. This mechanism combined with offchain storage guarantees GDPR compliance, which is required for protecting user’s data. We define blinded (Brands) DLRep scheme to provide multi-show unlinkability, which is a lacking feature in Brands’ credential based systems. For larger organizations, we re-design the system by replacing the Merkle Tree with an accumulator to improve scalability. The new system enables auditing by adapting the standard Industrial IoT (IIoT) Identity Management Lifecycle to Blockchain. Finally, we show that the new proposal outperforms BASS, i.e. the most recent blockchain-based anonymous credential scheme designed for smart industry. The computational cost at the user-side (can be a weak IoT device) of our scheme is 8-times less than that of BASS. Thus, our system is more suitable for IIoT.© 2020 Elsevier B.V. All rights reserved.
Keywords: Identity management | Smart industry | Blockchain | Non-transferability | Biometrics | DLRep | Multi-show unlinkability | Selective disclosure | Accumulators
مقاله انگلیسی
2 Action recognition of dance video learning based on embedded system and computer vision image
تشخیص عمل یادگیری ویدئویی رقص بر اساس سیستم تعبیه شده و تصویر بینایی ماشین-2021
Extraction and unfettered online / offline video sequence to identify complex human activity is computer vision a challenging task. To presents the classification of Indian classical dance moves using the powerful features of embedded system tools: Field Programmable Gate Array (FPGA). In this work, the Indian classical dance video for human action recognition is, YouTube data from offline and online control audio and video recordings of live performances carried out. Handprint create offline data with ten different themes familiar dance of 200 m / from various Indian classical dance forms in the context of a variety of poses. Online data collection dance ten different subjects from YouTube. Each dance posture is occupied 60 or video in both cases. FPGA training and 8 different sample dimensions, each performed by a plurality of sets of subject. The remaining two samples for testing the trained FPGA. Different FPGA architecture design, and with our test data in order to obtain better recognition accuracy. Compared the report on the same data set and other classification model to achieve a 90% recognition rate.
Keywords: Field-programmable gate array (FPGA) | Learning action recognition | Embedded system tool
مقاله انگلیسی
3 Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity
تخصیص منابع پویا در طول حساب های یادگیری تقویتی برای فعالیت دوپامین ramping و مرحله ای-2020
For an animal to learn about its environment with limited motor and cognitive resources, it should focus its resources on potentially important stimuli. However, too narrow focus is disadvantageous for adaptation to environmental changes. Midbrain dopamine neurons are excited by potentially important stimuli, such as reward-predicting or novel stimuli, and allocate resources to these stimuli by modulating how an animal approaches, exploits, explores, and attends. The current study examined the theoretical possibility that dopamine activity reflects the dynamic allocation of resources for learning. Dopamine activity may transition between two patterns: (1) phasic responses to cues and rewards, and (2) ramping activity arising as the agent approaches the reward. Phasic excitation has been explained by prediction errors generated by experimentally inserted cues. However, when and why dopamine activity transitions between the two patterns remain unknown. By parsimoniously modifying a standard temporal difference (TD) learning model to accommodate a mixed presentation of both experimental and environmental stimuli, we simulated dopamine transitions and compared them with experimental data from four different studies. The results suggested that dopamine transitions from ramping to phasic patterns as the agent focuses its resources on a small number of rewardpredicting stimuli, thus leading to task dimensionality reduction. The opposite occurs when the agent re-distributes its resources to adapt to environmental changes, resulting in task dimensionality expansion. This research elucidates the role of dopamine in a broader context, providing a potential explanation for the diverse repertoire of dopamine activity that cannot be explained solely by prediction error.
Keywords: Prediction error | Salience | Temporal-difference learning model | Pearce-Hall model | Habit | Striatum
مقاله انگلیسی
4 The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources
سوالاتی که می پرسیم: فرصت ها و چالش های استفاده از تجزیه و تحلیل داده های بزرگ برای مدیریت استراتژیک منابع سرمایه انسانی-2020
Big data analytics have transformed research in many fields, including the business areas of marketing, accounting and finance, and supply chain management. Yet, the discussion surrounding big data analytics in human resource management has primarily focused on job candidate screenings. In this article, we consider how significant strategic human capital questions can be addressed with big data analytics, enabling HR to enhance overall firm performance. We also examine how new data sources that help assess workforce performance in real time can assist in the identification and development of the knowledge stars that contribute to firm performance disproportionately as well as help reinforce firm capabilities. But in order for big data analytics to be successful in the HR field, regulatory and ethical challenges must also be addressed; these include privacy concerns and, in Europe, the General Data Protection Regulation (GDPR). We conclude by discussing how big data analytics can facilitate strategic change within HR and the organization as a whole.
KEYWORDS: Big data analytics | Workforce analytics | Stakeholder management | Strategic human | capital | Knowledge stars | Human resource management
مقاله انگلیسی
5 Website and e-shop Development as an e business Teaching Programme Innovation in Management Education
توسعه وب سایت و فروشگاه الکترونیکی به عنوان یک برنامه آموزش کسب و کار الکترونیکی نوآوری در آموزش مدیریت-2020
The article points out the need to introduce practical e-business learning in management education in Poland in order to adapt it to the labour market demand for new professionals such as digital manager, e commerce manager or e-commerce front-end developer. It also presents both the results of a research on the curricula of business studies and the conclusions of a survey conducted among students of the Faculty of Management, UTP University of Science and Technology in Bydgoszcz, Poland, who attended the e-business/e-commerce classes. It follows that the practical implementation of this subject is not popular in major economics and management courses, while among the public universities studied only UTP conduct classes using WordPress. According to the respondents, this area of knowledge is necessary, and the course itself is attractive and will be useful in the future. Therefore, research results indicate an innovative character of the presented teaching approach.© 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)Peer-review under responsibility of the scientific committee of the KES International.
Keywords: e-business education | e-commerce education | managers education | higher education | WordPress;
مقاله انگلیسی
6 An aromatic substance, eugenol induces distinct depressant effects onrespiratory activity in different postnatal developmental stages of therat
یک ماده معطر ، eugenol باعث ایجاد اثرات متمایزکننده افسردگی در عملکرد تنفسی در مراحل مختلف رشد پس از زایمان می شود.-2020
Eugenol modulates neuronal activity through actions on voltage-gated ionic channels and/or transientreceptor potential channels. We previously suggested that eugenol inhibited cellular (and/or network)mechanisms essential for the maintenance of the respiratory burst activity in a brainstem-spinal cordpreparation from newborn rat (postnatal day 0–3). Study of the distinct effects of eugenol in neonataland later developmental stage rats may offer new information about postnatal developmental changesof respiratory neuron networks. In the present study, therefore, we compared effects of eugenol in anin vitro newborn rat preparation with those in an arterially perfused in situ preparation from juvenilerat (postnatal day 12–15). In the former preparation, application of 1 mM eugenol decreased respiratoryrate and inspiratory burst duration. In contrast, in the latter preparation, 1 mM eugenol induced a gradualdecrease in the amplitude of integrated phrenic nerve activity. Phrenic nerve activity gradually recoveredat 25–30 min after washout with a burst duration similar to control values. We hypothesized that thedepressant effects of eugenol were caused by inhibition of cell excitability in the neonatal rat in vitropreparation but by a reduction of synaptic interactions in the juvenile rat in situ preparation.
Keywords: Eugenol | Respiratory | activityNewborn | Juvenile | In situ preparation
مقاله انگلیسی
7 Towards Security and Privacy for Edge AI in IoT/IoE based Digital Marketing Environments
به سمت امنیت و حفظ حریم خصوصی برای هوش مصنوعی لبه در محیط های بازاریابی دیجیتال مبتنی بر IoT / IoE-2020
Abstract—Edge Artificial Intelligence (Edge AI) is a crucial aspect of the current and futuristic digital marketing Internet of Things (IoT) / Internet of Everything (IoE) environment. Consumers often provide data to marketers which is used to enhance services and provide a personalized customer experience (CX). However, use, storage and processing of data has been a key concern. Edge computing can enhance security and privacy which has been said to raise the current state of the art in these areas. For example, when certain processing of data can be done local to where requested, security and privacy can be enhanced. However, Edge AI in such an environment can be prone to its own security and privacy considerations, especially in the digital marketing context where personal data is involved. An ongoing challenge is maintaining security in such context and meeting various legal privacy requirements as they themselves continue to evolve, and many of which are not entirely clear from the technical perspective. This paper navigates some key security and privacy issues for Edge AI in IoT/IoE digital marketing environments along with some possible mitigations.
Keywords: edge security | edge privacy | edge AI | edge intelligence | artificial intelligence | AI | machine learning | ML | IoT | IoE | edge | cybersecurity | legal | law | digital marketing | smart | GDPR | CCPA | security | privacy
مقاله انگلیسی
8 Legal Remedies For a Forgiving Society: Children’s rights, data protection rights and the value of forgiveness in AI-mediated risk profiling of children by Dutch authorities
راه حل های قانونی برای یک جامعه بخشنده: حقوق کودکان ، حقوق محافظت از داده ها و ارزش بخشش در مشخصات ریسک کودکان با استفاده از هوش مصنوعی توسط مقامات هلندی-2020
30 years after the United Nations Convention on the Right of the Child (CRC) and two years after the new EU data protection regime, the social value of forgiveness is not part of these legal instruments. The lack of this value within these legal instruments and the lack of re- search on the subject of forgiveness in relation to improving the legal position of children require urgent addressing especially when children are exposed to artificial intelligence (AI)- mediated risk profiling practices by Dutch government authorities. Developmental psychol- ogists underline that the erosion of this value could hamper children’s ability to develop flourishing human relationships. This article contributes to fill this niche. It investigates how this value can be enforced in order to benefit children below the age of 12 years that are exposed to risk profiling by Dutch law enforcement and youth care authorities. Children who are victims, witnesses, or falsely accused provide a particular narrowing of focus in this article as these groups cannot be held responsible for their correlations to crime. Strengthening children’s legal position is crucial because their position is much weaker compared to adults when it comes to question a risk correlation about themselves. These children correlated to crime, as this paper argues, not only can feel unjustifiably punished, ‘unforgiven’, and hampered in their choices, but can also develop low self-worth and (negative) judgmental attitudes towards others. Based on input from developmental psychology, empirical material, and legal desk research, this article seeks to answer: What remedies can the Law Enforcement Directive (LED) 2016/680, the General Data Protection Regulation (GDPR), and the United Nations Convention on the Right of the Child (CRC) offer against the detrimental implications of risk profiling children by the ProKid 12- SI system and the Crime Anticipation System (CAS) in The Netherlands? How can the social value of forgiveness strengthen these instruments and the legal position of children in light of security interests and the best interests of the child? The analysis concludes that the CRC offers the broadest room for incorporating the principle of forgiveness into balancing tests, but certain LED and GDPR prescriptions could also support the value of forgiveness for children, such as the right to erasure. The analysis concludes that incorporating forgiveness into the mentioned legal instruments would not only benefit individual children but would also foster public safety as a result.
Keywords: Forgiveness | Risk profiles | Children rights | Data protection | AI | Correlations
مقاله انگلیسی
9 The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources
سؤالاتی که می پرسیم: فرصت ها و چالش های استفاده از تحلیل داده های بزرگ برای مدیریت استراتژیک منابع سرمایه انسانی-2020
Big data analytics have transformed research in many fields, including the business areas of marketing, accounting and finance, and supply chain management. Yet, the discussion surrounding big data analytics in human resource management has primarily focused on job candidate screenings. In this article, we consider how significant strategic human capital questions can be addressed with big data analytics, enabling HR to enhance overall firm performance. We also examine how new data sources that help assess workforce performance in real time can assist in the identification and development of the knowledge stars that contribute to firm performance disproportionately as well as help reinforce firm capabilities. But in order for big data analytics to be successful in the HR field, regulatory and ethical challenges must also be addressed; these include privacy concerns and, in Europe, the General Data Protection Regulation (GDPR). We conclude by discussing how big data analytics can facilitate strategic change within HR and the organization as a whole.
KEYWORDS Big data analytics | Workforce analytics | Stakeholder | management | Strategic human | capital | Knowledge stars | Human resource | management
مقاله انگلیسی
10 How far can Convention 108+ ‘globalise’? Prospects for Asian accessions
کنوانسیون 108+ تا چه اندازه می تواند جهانی شود؟ چشم انداز الحاق آسیایی-2020
The ‘globalisation’ of Council of Europe data protection Convention 108 through non-European accessions has continued steadily, with eight such accessions since the first in 2013. The ‘modernisation’ of the Convention was completed on 10 October 2018 when the amending protocol for the new ‘Convention 108+’ became open for signature. Any new countries from outside Europe wishing to accede will have to accede to both Convention 108 and the amending Protocol (ie to 108+). The standards required of the laws of acceding countries by 108+ are higher than those required by 108, and are arguably mid-way between 108 and those of the European Union’s General Data Protection Regulation (GDPR).
This article examines to what extent each of the 26 ‘countries’ (separate jurisdictions) in Asia are likely to be able to accede to 108+, if they wish to. As yet, none have acceded to 108. It proposes an efficient way to consider such a question across such a complex set of jurisdictions. Fifteen of the 26 Asian countries already have data privacy laws, and two others have official Bills for such laws. An assessment of the prospects for accession can be done by considering in order the following grounds which may be impediments to accession: Jurisdictions which are not States; States which are not democratic; Laws of inadequate scope; Laws lacking an independent data protection authority; Laws with substantive provisions falling short of 108+ ‘accession standards’; States with proposed Bills only; and States with no relevant laws or proposed Bills.
The most difficult step in this procedure is in deciding which of the substantive provisions of 108+ constitute its ‘accession standards’, or elements essential for accession to be invited. Neither the Convention, nor the guidelines issued by its Consultative Committee, shed much light on this question. However, previous practice under Convention 108, show there is some flexibility involved. The article concludes with suggestions as to how such flexibility can be made more transparent, and observations on which Asian countries, in light of the seven step assessment carried out in the article, are the most likely candidates to be able to accede to 108+, in both the short and medium terms.
مقاله انگلیسی
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