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1 |
Intelligent authentication of 5G healthcare devices: A survey
احراز هویت هوشمند دستگاه های مراقبت بهداشتی 5G: یک مرور-2022 The dynamic nature of wireless links and the mobility of devices connected to the Internet of
Things (IoT) over fifth-generation (5G) networks (IoT-5G), on the one hand, empowers pervasive
healthcare applications. On the other hand, it allows eavesdroppers and other illegitimate
actors to access secret information. Due to the poor time efficiency and high computational
complexity of conventional cryptographic methods and the heterogeneous technologies used,
it is easy to compromise the authentication of lightweight wearable and healthcare devices.
Therefore, intelligent authentication, which relies on artificial intelligence (AI), and sufficient
network resources are extremely important for securing healthcare devices connected to IoT-
5G. This survey considers intelligent authentication and includes a comprehensive overview of
intelligent authentication mechanisms for securing IoT-5G devices deployed in the healthcare
domain. First, it presents a detailed, thoughtful, and state-of-the-art review of IoT-5G, healthcare
technologies, tools, applications, research trends, challenges, opportunities, and solutions. We
selected 20 technical articles from those surveyed based on their strong overlaps with IoT,
5G, healthcare, device authentication, and AI. Second, IoT-5G device authentication, radiofrequency fingerprinting, and mutual authentication are reviewed, characterized, clustered,
and classified. Third, the review envisions that AI can be used to integrate the attributes
of the physical layer and 5G networks to empower intelligent healthcare devices. Moreover,
methods for developing intelligent authentication models using AI are presented. Finally, the
future outlook and recommendations are introduced for IoT-5G healthcare applications, and
recommendations for further research are presented as well. The remarkable contributions and
relevance of this survey may assist the research community in understanding the research gaps
and the research opportunities relating to the intelligent authentication of IoT-5G healthcare
devices.
keywords: اینترنت اشیا (IoT) | امنیت اینترنت اشیا | احراز هویت دستگاه | هوش مصنوعی | امنیت مراقبت های بهداشتی | شبکه های 5g | InternetofThings(IoT) | InternetofThingssecurity | Deviceauthentication | Artificialintelligence | Healthcaresecurity | 5Gnetworks |
مقاله انگلیسی |
2 |
Dual-Frequency Quantum Phase Estimation Mitigates the Spectral Leakage of Quantum Algorithms
تخمین فاز کوانتومی دو فرکانس برای کاهش نشت طیفی الگوریتمهای کوانتومی-2022 Quantum phase estimation is an important component in diverse quantum algorithms. However, it suffers from
spectral leakage, when the reciprocal of the record length is not an
integer multiple of the unknown phase, which incurs an accuracy
degradation. For the existing single-sample estimation scheme,
window-based methods have been proposed for spectral leakage
mitigation. As a further advance, we propose a dual-frequency estimator, which asymptotically approaches the Cramér-Rao bound,
when multiple samples are available. Numerical results show that
the proposed estimator outperforms the existing window-based
methods, when the number of samples is sufficiently high.
Index Terms: Algorithmic error mitigation | dual-frequency estimator | quantum algorithms | quantum phase estimation. |
مقاله انگلیسی |
3 |
Head tremor in cervical dystonia: Quantifying severity with computer vision
لرزش سر در دیستونی دهانه رحم: کمی کردن شدت با دید کامپیوتری-2022 Background: Head tremor (HT) is a common feature of cervical dystonia (CD), usually quantified by subjective
observation. Technological developments offer alternatives for measuring HT severity that are objective and
amenable to automation.
Objectives: Our objectives were to develop CMOR (Computational Motor Objective Rater; a computer vision-
based software system) to quantify oscillatory and directional aspects of HT from video recordings during a
clinical examination and to test its convergent validity with clinical rating scales.
Methods: For 93 participants with isolated CD and HT enrolled by the Dystonia Coalition, we analyzed video
recordings from an examination segment in which participants were instructed to let their head drift to its most
comfortable dystonic position. We evaluated peak power, frequency, and directional dominance, and used
Spearman’s correlation to measure the agreement between CMOR and clinical ratings.
Results: Power averaged 0.90 (SD 1.80) deg2/Hz, and peak frequency 1.95 (SD 0.94) Hz. The dominant HT axis
was pitch (antero/retrocollis) for 50%, roll (laterocollis) for 6%, and yaw (torticollis) for 44% of participants.
One-sided t-tests showed substantial contributions from the secondary (t = 18.17, p < 0.0001) and tertiary (t =
12.89, p < 0.0001) HT axes. CMOR’s HT severity measure positively correlated with the HT item on the Toronto
Western Spasmodic Torticollis Rating Scale-2 (Spearman’s rho = 0.54, p < 0.001).
Conclusions: We demonstrate a new objective method to measure HT severity that requires only conventional
video recordings, quantifies the complexities of HT in CD, and exhibits convergent validity with clinical severity
ratings. keywords: لرزش سر | ویدیو | بینایی کامپیوتر | درجه بندی شدت | TWSTRS | Head tremor | Video | Computer vision | Severity rating | TWSTRS |
مقاله انگلیسی |
4 |
GAFL: Global adaptive filtering layer for computer vision
GAFL: لایه فیلتر تطبیقی جهانی برای بینایی کامپیوتر-2022 We devise a universal global adaptive filtering layer, GAFL, capable of ‘‘learning’’ optimal frequency filter for
each image in a dataset together with the weights of the base neural network that performs some computer
vision task. The proposed approach takes the source image in the spatial domain, selects the best frequencies
in the Fourier domain for the benefit of the global task, and prepends the inverse-transform image to the
main neural network for a joint training. Remarkably, such a simple add-on layer, capable of optimizing the
frequency content of an input for a specific task, dramatically improves the performance of the main network
regardless of its design. We observe that the light networks gain a noticeable boost in the performance metrics;
whereas, the training of the heavy ones converges faster when GAFL is prepended to the main architecture.
We showcase the performance of the layer in four classical computer vision tasks: classification, segmentation,
denoising, and erasing, considering popular natural and medical data benchmarks.
keywords: Adaptive neural layer | Efficient training | Fourier filtering |
مقاله انگلیسی |
5 |
Plasmonic Waveguides: Enhancing quantum electrodynamic phenomena at nanoscale
موجبرهای پلاسمونیک: افزایش پدیده های الکترودینامیکی کوانتومی در مقیاس نانو-2022 The emerging field of plasmonics may lead to enhanced light–matter interactions at extremely nanoscale regions. Plasmonic (metallic) devices promise to effi- ciently control classical and quantum properties of light.
Plasmonic waveguides are usually employed to excite confined electromagnetic modes at nanoscale that can strongly
interact with matter. Analysis shows that nanowaveguides
share similarities with their low-frequency microwave counterparts. In this article, we review ways to study plasmonic
nanostructures coupled to quantum optical emitters from a
classical electromagnetic perspective. Quantum emitters are
mainly used to generate single-photon quantum light that
can be employed as a quantum bit, or “qubit,” in envisioned
quantum information technologies. We demonstrate different
ways to enhance a diverse range of quantum electrodynamic
phenomena based on plasmonic configurations by using the
Green’s function formalism, a classical dyadic tensor. More
specifically, spontaneous emission and superradiance are
analyzed through Green’s function-based field quantization.
The exciting new field of quantum plasmonics could lead to
a plethora of novel optical devices for communications and
computing applications in the quantum realm, such as efficient single-photon sources, quantum sensors, and compact
on-chip nanophotonic circuits.
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مقاله انگلیسی |
6 |
آیا آزادسازی بازار سهام ، همزمانی قیمت سهام را کاهش می دهد؟ شواهدی از اتصال سهام شانگهای-هنگ کنگ
سال انتشار: 2022 - تعداد صفحات فایل pdf انگلیسی: 14 - تعداد صفحات فایل doc فارسی: 41 در این مطالعه تأثیر آزادسازی بازار سهام بر همزمانی قیمت سهام را با استفاده از سیاست جدید اصلاحی آزادسازی بازار سهام در چین در زمینه متصل کردن بازار سهام شانگهای-هنگ کنگ (SHSC)، به عنوان یک طرح نیمه آزمایشی، بررسی میکنیم. آنالیز تفاوت در تفاوت نشان می دهد که اجرای SHSC به طور معناداری همزمانی قیمت سهام شرکت های واجد شرایط پذیرفته شده در بورس اوراق بهادار شانگهای را کاهش می دهد و این تاثیر عمدتاً در شرکت های پذیرفته شده ای که درجه "باز بودن" آنها کمتر است ،وجود دارد. علاوه بر این، ما اثبات می کنیم که SHSC شفافیت اطلاعات و فراوانی افشاء داوطلبانه را ارتقا می دهد. در نهایت، دریافتیم که SHSC بر همزمانی قیمت سهام شرکت های واجد شرایط پذیرفته شده در بورس اوراق بهادار هنگ کنگ تأثیر نمی گذارد.
کلمات کلیدی: آزادسازی بازار سهام | همزمانی قیمت سهام | اتصال بازار سهام شانگهای-هنگ کنگ | کارایی اطلاعات |
مقاله ترجمه شده |
7 |
A throughput drop estimation model and its application to joint optimization of transmission power, frequency channel, and channel bonding in IEEE 802:11n WLAN for large-scale IoT environments
یک مدل تخمین افت توان و کاربرد آن برای بهینهسازی مشترک توان انتقال، کانال فرکانس و پیوند کانال در IEEE 802:11n WLAN برای محیطهای اینترنت اشیا در مقیاس بزرگ-2022 The concept of Internet of Things (IoT) has been widely studied in smart home networks, smart
city networks, smart grid systems, autonomous driving systems, and smart healthcare systems.
In IoT, the IEEE 802.11n wireless local-area network (WLAN) is used as a common communication
technology due to its flexibility and low cost. Then, the high performance WLAN is required to
enhance quality of service (QoS) of large-scale IoT applications connecting a number of devices
or sensors allocated in wide areas. WLAN can use the limited number of partially overlapping
channels (POCs) at 2.4 GHz band. The WLAN performance can be degraded by interfered signals
from other WLANs. Then, to optimize the POC assignment by reducing interferences, we have
proposed the throughput drop estimation model for concurrently communicating multiple links
under interferences. Unfortunately, the 40 MHz channel bonding (CB) and the 20 MHz non-CB
are considered separately, while the transmission power is always fixed to the maximum. In this
paper, we study the throughput drop estimation model under coexistence of CB and non-CB while
the transmission power is changed. Then, we present its application to the joint optimization of
assigning the transmission power, the frequency channel, and the channel bonding to enhance
the throughput performance of IEEE 802.11n WLAN. For evaluations, we compare estimated
throughputs by the model with measured ones in various network topologies to verify the model
accuracy. Then, we apply the model to the joint assignment optimization in them, and confirm
the effectiveness through simulations and experiments using the testbed system.
Keywords: Internet of Things | WLAN | Partially overlapping channel | Access point | Transmission power | Channel bonding | Non-channel bonding | Throughput drop |
مقاله انگلیسی |
8 |
An efficient radio-frequency spectrum utilization technique for cognitive radio networks
یک تکنیک کارآمد استفاده از طیف فرکانس رادیویی برای شبکههای رادیویی شناختی-2022 Cognitive radio (CR) is a rising technology that unlocks the doors for radio spectrum scarcity
problem, which is of great concern nowadays among the researchers at various levels. CR
enables to unlicensed users or secondary users (SUs) to access the primary channels when
licenced users or primary users (PUs) are not using these channels. Two fundamental access
methods namely overlay and underlay are very popular in utilizing the free available channels
or the white spaces. Various hybrid access methods have been proposed and recommended by
many researchers to further enhance the radio spectrum utilization. Of course hybrid access
methods are the better ways to deal this spectrum scarcity problem, but a comprehensive
and directed effort is required to optimize the modality of these methods. This work proposes
a Markov chain based hybrid access method named as Hybrid Spectrum Utilization Technique
(HSUT), which tries to maximize the radio spectrum utilization by enhancing the PU’s detection
probability. This work also analyzes the performance of the HSUT and results obtained through
OMNeT++ simulator are very encouraging. At last, this work also compares the performance of
the HSUT with the overlay, underlay, Hybrid-P1 (Dhurandher et al., 2021), and the Hybrid-P2
(Dhurandher et al., 2021) access methods.
keywords: Cognitive radio | White spaces | Hybrid access | Markov chain | OMNeT++ |
مقاله انگلیسی |
9 |
A Cryo-CMOS Oscillator With an Automatic Common-Mode Resonance Calibration for Quantum Computing Applications
یک نوسان ساز Cryo-CMOS با کالیبراسیون رزونانس حالت مشترک خودکار برای برنامه های محاسباتی کوانتومی-2022 This article presents a 4-to-5 GHz LC oscillator operating at 4.2 K for quantum computing applications. The phase noise (PN) specification of the oscillator is derived based on the control fidelity for a single-qubit operation. To reveal the substantial gap between the theoretical predictions and measurement results at cryogenic temperatures, a new PN expression for an oscillator is derived by considering the shot-noise effect. To reach the optimum performance of an LC oscillator, a common-mode (CM) resonance technique is implemented. Additionally, this work presents a digital calibration loop to adjust the CM frequency automatically at 4.2 K, reducing the oscillator’s PN and thus improving the control fidelity. The calibration technique reduces the flicker corner of the oscillator over a wide temperature range (10 × and 8 × reduction at 300 K and 4.2 K, respectively). At 4.2 K, our 0.15-mm 2 oscillator consumes a 5-mW power and achieves a PN of − 153.8 dBc/Hz at a 10 MHz offset, corresponding to a 200-dB FOM. The calibration circuits consume only a 0.4-mW power and 0.01-mm 2 area.
Index Terms—Quantum computing | qubit | cryogenic | oscillator | PLL | common-mode resonance calibration | phase noise | frequency noise | flicker noise | shot noise. |
مقاله انگلیسی |
10 |
Integrating blockchain into supply chain safeguarded by PUF-enabled RFID
ادغام بلاک چین در زنجیره تامین که توسط RFID دارای PUF محافظت می شود-2022 Due to globalization, supply chain networks are moving towards higher complexity and
becoming vulnerable to various kinds of attacks such as counterfeiting, information tampering,
and so on. Appropriate approaches are necessary to tackle different types of attacks and
to ensure the required supply chain security. In this paper, we have addressed the product
counterfeiting issue using Physical Unclonable Function (PUF) enabled Radio Frequency Identification (RFID) tag. In this research, as a preferred alternative to the traditional centralized
databases, blockchain technology has been leveraged to support anti-counterfeiting. Applying
blockchain technology to supply chains can add many useful features such as decentralization,
immutability, transparency, traceability, non-repudiation, complicated record-keeping, and so
on. We have also used a reputation-based consensus algorithm for the blockchain which is less
resource-intensive and thus will not indirectly impose additional cost on supply chain products.
In the same research direction, we have devised our system architecture that is suitable for
lightweight supply chain devices. The proposed three protocols namely: registration protocol,
verification protocol, and transaction protocol along with the blockchain technology help to
transfer the ownership of the authentic product and keep the sensitive supply chain information
safe. An encryption-based secret sharing technique has also been introduced to assist data
protection.
keywords: Blockchain | PUF | RFID | Secret sharing | Supply chain security |
مقاله انگلیسی |