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نتیجه جستجو - IoV

تعداد مقالات یافته شده: 76
ردیف عنوان نوع
1 Resource Management for Edge Intelligence (EI)-Assisted IoV Using Quantum-Inspired Reinforcement Learning
مدیریت منابع برای IoV به کمک هوش لبه (EI) با استفاده از یادگیری تقویتی الهام گرفته از پردازش کوانتومی-2022
Recent developments in the Internet of Vehicles (IoV) enable interconnected vehicles to support ubiquitous services. Various emerging service applications are promising to increase the Quality of Experience (QoE) of users. On-board computation tasks generated by these applications have heavily overloaded the resource-constrained vehicles, forcing it to offload on-board tasks to other edge intelligence (EI)-assisted servers. However, excessive task offloading can lead to severe competition for communication and computation resources among vehicles, thereby increasing the processing latency, energy consumption, and system cost. To address these problems, we investigate the transmission-awareness and computing-sense uplink resource management problem and formulate it as a time-varying Markov decision process. Considering the total delay, energy consumption, and cost, quantum-inspired reinforcement learning (QRL) is proposed to develop an intelligence-oriented edge offloading strategy. Specifically, the vehicle can flexibly choose the network access mode and offloading strategy through two different radio interfaces to offload tasks to multiaccess edge computing (MEC) servers through WiFi and cloud servers through 5G. The objective of this joint optimization is to maintain a self-adaptive balance between these two aspects. Simulation results show that the proposed algorithm can significantly reduce the transmission latency and computation delay.
Index Terms: Cloud computing | edge intelligence (EI) | Internet of Vehicles (IoV) | multiaccess edge computing (MEC) | quantum-inspired reinforcement learning (QRL)
مقاله انگلیسی
2 CREASE: Certificateless and REused-pseudonym based Authentication Scheme for Enabling security and privacy in VANETs
CREASE: طرح احراز هویت مبتنی بر نام مستعار بدون گواهی و استفاده مجدد برای فعال کردن امنیت و حریم خصوصی در VANET-2022
Due to the customers’ growing interest in using various intelligent and connected devices, we are surrounded by the Internet of Things (IoT). It is estimated that the number of IoT devices will exceed 60 billion by 2025. One of the primary reasons for such rapid growth is the Internet of Vehicles (IoV). Internet of Vehicles (IoV) has evolved into an emerging concept in intelligent transportation systems (ITS) that integrates VANETs and the IoT to enhance their capabilities. With the emergence of IoV and the interest shown by customers, Vehicular Ad hoc NETworks (VANETs) are likely to be widely deployed in the near future. However, for this to happen, wide participation of vehicle owners in VANET is needed. The primary concerns of vehicle owners to participate in VANET are privacy and security. In this paper, we present a Certificateless and REused-pseudonym based Authentication Scheme for Enabling security and privacy (CREASE) in VANETs. One of the ways to preserve the privacy of vehicles/drivers is to allow vehicles/drivers to use pseudo identities (pseudonyms) instead of their real identities (such as VIN number or driving license number) in all communications. The pseudonym used by a vehicle needs to be changed frequently to prevent the vehicle from being tracked. Our scheme uses Merkle Hash Tree and Modified Merkle Patricia Trie to efficiently store and manage the pseudonyms assigned to a vehicle. This enables a vehicle to pick and use a random pseudonym from a given set of pseudonyms assigned to it as well as change its pseudonym frequently and securely to ensure privacy. Unlike many of the existing schemes, our scheme does not use certificates and certificate revocation lists for authentication. Moreover, it allows vehicles to get a set of pseudonyms only once from the trusted authority. We present a formal proof of correctness of our scheme and also compare our scheme with some of the other contemporary schemes to show the effectiveness of our scheme.
Keywords: VANETs | Intelligent transportation systems | Authentication | Security | Privacy-preserving authentication
مقاله انگلیسی
3 Diagnosis and management of premature ovarian insufficiency
تشخیص و مدیریت نارسایی تخمدان زودرس-2021
Premature ovarian insufficiency (POI) is a complex clinical syndrome with life-changing physiological and psychological consequence in young women of reproductive age. However, the understanding of the etiology, diagnosis and optimal intervention strategies for this condition remains poorly understood. In recent years advances in epidemiologic and genetic research has improved our knowledge and awareness of POI. Further prospective randomised trials are required to improve the psychological and sexual health, fertility treatment options and long-term management of the impact on bone, cardiovascular and cognitive impact in women with POI. In this paper we aim to provide an overview on the diagnosis and management of POI, discuss the current understanding of the condition and future directions.
keywords: تخریب تخمدان زودرس | درمان جایگزینی هورمون | استروژن | بیماری قلب و عروقی | سلامت شناختی | سلامت باروری | premature ovarian insufficiency | hormone replacement therapy | estrogen-deficiency | cardiovascular disease | cognitive health | reproductive health
مقاله انگلیسی
4 Plasma prolactin is higher in major depressive disorder and females, and associated with anxiety, hostility, somatization, psychotic symptoms and heart rate
پرولاکتین پلاسما در اختلال افسردگی اساسی و زنان بالاتر است، و در ارتباط با اضطراب، خصومت، شکایت جسمانی، علائم روان پریشی و ضربان قلب-2021
Background: Major Depressive Disorder (MDD) is linked to poor physical health including an increased risk of developing cardiometabolic disease (CMD), yet the underlying physiology of this relationship is not clear. One pathophysiological mechanism that may underlie this relationship is neuroendocrine dysregulation, including that of the hormone prolactin. Prolactin has a role in the regulation of stress, and it is linked to anxiety, hostility, and weight gain, which are all implicated in MDD and increased CMD risk. However, little research has examined plasma prolactin in association with psychological symptoms of MDD or biometric indices of CMD risk.
Method: Plasma samples of 120 participants (n ¼ 60 meeting DSM-5 criteria for MDD and n ¼ 60 control; age and sex matched) were analysed to assess prolactin concentration. Biometric data (BMI, waist circumference, blood pressure and heart rate) were collected, and participants completed the Brief Symptom Inventory (BSI) and Depression Anxiety Stress Scale (DASS).
Results: Plasma prolactin was higher in participants with MDD versus controls (8.79 T 5.16 ng/mL and 7.03 T4.78 ng/mL, respectively; F ¼ 4.528, p ¼ 0.035) and among females versus males (9.14 T 5.57 ng/mL and 6.31 T3.70 ng/mL, respectively; F ¼ 9.157, p ¼ 0.003). Prolactin was correlated with several psychological symptoms including anxiety, hostility and somatization, and with heart rate, but not with any other biometric measures.
Conclusions: The results of this study indicate that neuroendocrine dysregulation in MDD may extend to the hormone prolactin, with prolactin being specifically associated with a subset of related psychometric and car- diovascular measures.
Keywords: Major depressive disorder | Cardiometabolic disease | Prolactin | Anxiety | Hostility
مقاله انگلیسی
5 Managing Cardiac Patients: Dentists’ Knowledge, Perceptions, and Practices
مدیریت بیماران قلبی: دانش دندانپزشکان، ادراکات و شیوه های دندانپزشکان-2021
Objectives: Dental patients may require invasive treatment, and awareness of their medical conditions is essential for optimal care. We assessed the knowledge, perceptions, and attitudes of dentists practicing in Saudi Arabia (SA) and their associations with managing patients with common cardiac conditions. Methods: A national survey of knowledge and attitudes of practicing dentists towards patients with common cardiac conditions was conducted from May 2019 to July 2020 in SA. The survey comprised a newly developed, validated, electronic, self-administered English questionnaire.
Results: Overall, 282 dentists completed the survey, of whom 45.5% perceived cardiac patients as difficult to manage, while 64.5% stated that they refer these patients to cardiologists before dental intervention. Regarding knowledge about cardiac conditions, 72% achieved an overall knowledge score <55%; however, their infective endocarditis scores were better. Consultants and specialists (P < .001), those with a PhD/board certification (P = .013), dentists with prior education on cardiac patient management (P = .002), and those working with a cardiologist (P = .016) scored higher on knowledge. Conversely, private dentists (P = .003) and those referring patients to cardiologists before treatment (P = .003) scored lower. Dentists’ knowledge of cardiovascular diseases in women was low; only those who believed women experience a greater risk of cardiac complications achieved a higher score. Approximately 90.1% wished to receive education regarding cardiac patient management.
Conclusions: Knowledge of cardiac patient management was suboptimal in this study. Dentists perceived cardiac patients as difficult to manage, but wished to learn more regarding optimal management. Thus, postgraduate education programmes that promote optimal dental management strategies for cardiac patients are necessary.
keywords: Knowledge | Attitude | Dentist | Cardiac patient | Cardiac disease | Cardiovascular disease in women
مقاله انگلیسی
6 Improving user verification in human-robot interaction from audio or image inputs through sample quality assessment
بهبود تأیید کاربر در تعامل انسان و روبات از طریق ورودی های صوتی یا تصویری از طریق ارزیابی کیفیت نمونه-2021
In this paper, we tackle the task of improving biometric verification in the context of Human-Robot Interaction (HRI). A robot that wants to identify a specific person to provide a service can do so by either image verification or, if light conditions are not favourable, through voice verification. In our approach, we will take advantage of the possibility a robot has of recovering further data until it is sure of the identity of the person. The key contribution is that we select from both image and audio signals the parts that are of higher confidence. For images we use a system that looks at the face of each person and selects frames in which the confidence is high while keeping those frames separate in time to avoid using very similar facial appearance. For audio our approach tries to find the parts of the signal that contain a person talking, avoiding those in which noise is present by segmenting the signal. Once the parts of interest are found, each input is described with an independent deep learning architecture that obtains a descriptor for each kind of input (face/voice). We also present in this paper fusion methods that improve performance by combining the features from both face and voice, results to validate this are shown for each independent input and for the fusion methods.© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: Biometric verification | Audiovisual verification | Human robot interaction
مقاله انگلیسی
7 AI, Blockchain, and Vehicular Edge Computing for Smart and Secure IoV: Challenges and Directions
هوش مصنوعی ، بلاکچین و محاسبه لبه ای برای هوشمند و ایمن IoV: چالش ها و دستورالعمل ها-2020
Internet of Things (IoT) is turning into an undeniably developing point of discussion in both research and industrial fields. A key area that is witnessing a quick development in the utilization of IoT devices is the Internet of Vehicles (IoV), which allows information exchange among vehicles and infrastructures. Notably, Artificial Intelligence (AI) has been widely adopted for solving challenging vehicular problems and managing the IoV infrastructure. Despite the advantages AI carries for IoV, its deployment can be negatively affected by lacking computation resources and processing unreliable data. On the other hand, Blockchain is a decentralized and distributed peer-to-peer network architecture that can be employed to empower security and resist against undesirable data modification. However, integrating both technologies (i.e., AI and Blockchain) exhausts, even more, the IoV infrastructure. Therefore, we present in this paper an overview discussing the AI and Blockchain approaches and models for IoV and propose a new Vehicular Edge Computing based architecture embedding both technologies and overcoming the aforementioned limitations. We then discuss the main challenges and give notice to the concerned parties and stakeholders about promising directions that arise from enabling the three technologies for providing smart, secure, and efficient IoV.
مقاله انگلیسی
8 Collaborative AI and Laboratory Medicine integration in precision cardiovascular medicine
یکپارچه سازی هوش مصنوعی و داروی آزمایشگاهی در پزشکی دقیق قلب و عروق-2020
Artificial Intelligence (AI) is a broad term that combines computation with sophisticated mathematical models and in turn allows the development of complex algorithms which are capable to simulate human intelligence such as problem solving and learning. It is devised to promote a significant paradigm shift in the most diverse areas of medical knowledge. On the other hand, Cardiology is a vast field dealing with diseases relating to the heart, the circulatory system, and includes coronary heart disease, cerebrovascular disease, rheumatic heart disease and other conditions. AI has emerged as a promising tool in cardiovascular medicine which is aimed in augmenting the effectiveness of the cardiologist and to extend better quality to patients. It has the ability to support decision‑making and improve diagnostic and prognostic performance. Attempt has also been made to explore novel genotypes and phenotypes in existing cardiovascular diseases, improve the quality of patient care, to enable cost-effectiveness with reduce readmission and mortality rates. Our review addresses the integration of AI and laboratory medicine as an accelerator of personalization care associated with the precision and the need of value creation services in cardiovascular medicine.
Keywords: Artificial intelligence | Cardiology | Laboratory | Biomarkers | Data | Machine learning | Personalized
مقاله انگلیسی
9 Discrimination of wet or dried arterial and venous blood for forensic applications via eosin fluorescence lifetime
تبعیض شریانی مرطوب یا خشک شده خون وریدی برای کاربردهای پزشکی قانونی از طریق طول عمر فلورسانس ائوزین-2020
The arteriovenous oxygen content difference disappears after blood is exposed to air. The blood oxygen leveldependent imaging method is unable to differentiate oxygen-saturated arteriovenous bloods, and no other method exists for determining them. To overcome this limitation, we first proposed that the fluorescence lifetime of eosin added to wet whole blood (WB) can distinguish air-exposed wet arterial blood (AB) from venous blood (VB). We then demonstrated that the urea level in wet WB can be employed as an indicator for further confirmation of wet arteriovenous blood based on the change in the eosin lifetime in the urease-urea reaction. Because arterial clots mostly comprise aggregated platelets in dried blood whereas venous clots contain higher amounts of fibrin. The eosin-stained platelets and fibrin have different eosin lifetimes, and this difference between platelets and fibrin during clotting when the blood dries explains why the eosin lifetime can be used to differentiate air-exposed wet and dried blood. Moreover, we found that the eosin short lifetime (τ1), mean lifetime (τm), and lifetime-based scatter parameters can be applied to discriminate dried AB and VB clots. Indeed, fluorescence lifetime imaging microscopy (FLIM) could be a potential method to support bloodstain pattern analysis in criminal cases.
Keywords: Oxygen content | Arteriovenous blood | Urease-urea reaction | Fluorescence lifetime | Criminal cases
مقاله انگلیسی
10 Impact of the 2005 and 2010 Spanish smoking laws on hospital admissions for tobacco-related diseases in Valencia, Spain
تأثیر قوانین مربوط به استعمال دخانیات 2005 و 2010 اسپانیا بر روی بستری در بیمارستان برای بیماری های مرتبط با دخانیات در والنسیا ، اسپانیا-2020
Objectives: This study aimed to assess the impact of the latest smoke-free legislation on hospital admission rates due to smoking-related diseases in Spain. Study design: A retrospective cohort study was conducted to evaluate changes in hospital admission rates for cardiovascular, respiratory diseases, and smoking-related cancer in Valencia, Spain, during the period 1995e2013. Law 28/2005 and then law 42/2010 prohibited smoking in bars and restaurants as well as playgrounds and access points to schools and hospitals. Methods: General population data by age and sex were obtained from the National Institute of Statistics census. Data on hospital admissions were obtained from the Minimum Basic Data Set. Diagnoses were codified according to the International Classification of Diseases- 9th revision. Data from all hospitals of the Valencian Community from 1995 to 2013 were analysed. Trend analyses in the periods before and after the approval of the 2005 law were conducted using least-squares linear regression models. Results: Adjusted hospital admission rates per 100,000 inhabitants for cardiovascular diseases significantly decreased after the 2005 Law (from 550.0/100,000 in 2005 to 500.5/100,000 in 2007), with a further decrease (to 434.6/100,000) in 2013, after the 2010 Law. Reductions in hospital admissions were seen in men and women, although declining trends were more marked in men. Hospital admission rates for respiratory diseases showed a reduction of a lower magnitude, whereas for smoking-related cancer admissions there was a slight decline only among men. Conclusions: The Spanish comprehensive smoking ban resulted in a remarkable reduction of the adjusted rate of hospital admissions mainly associated to cardiovascular diseases. The decrease in the number of persons requiring in-patient care is relevant and may be viewed as an improvement of the publics health.
Keywords: Smoking/prevention and control | Smoke-free policies | Cardiovascular diseases/prevention | and control | Patient admission | Health policy
مقاله انگلیسی
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