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نتیجه جستجو - Databases

تعداد مقالات یافته شده: 363
ردیف عنوان نوع
1 Cov-Net: A computer-aided diagnosis method for recognizing COVID-19 from chest X-ray images via machine vision
Cov-Net: یک روش تشخیصی به کمک رایانه برای تشخیص COVID-19 از تصاویر اشعه ایکس قفسه سینه از طریق بینایی ماشین-2022
In the context of global pandemic Coronavirus disease 2019 (COVID-19) that threatens life of all human beings, it is of vital importance to achieve early detection of COVID-19 among symptomatic patients. In this paper, a computer aided diagnosis (CAD) model Cov-Net is proposed for accurate recognition of COVID-19 from chest X-ray images via machine vision techniques, which mainly concentrates on powerful and robust feature learning ability. In particular, a modified residual network with asymmetric convolution and attention mechanism embedded is selected as the backbone of feature extractor, after which skip-connected dilated convolution with varying dilation rates is applied to achieve sufficient feature fusion among high-level semantic and low-level detailed information. Experimental results on two public COVID-19 radiography databases have demonstrated the practicality of proposed Cov-Net in accurate COVID-19 recognition with accuracy of 0.9966 and 0.9901, respectively. Furthermore, within same experimental conditions, proposed Cov-Net outperforms other six state-of-the-art computer vision algorithms, which validates the superiority and competitiveness of Cov-Net in building highly discriminative features from the perspective of methodology. Hence, it is deemed that proposed Cov-Net has a good generalization ability so that it can be applied to other CAD scenarios. Consequently, one can conclude that this work has both practical value in providing reliable reference to the radiologist and theoretical significance in developing methods to build robust features with strong presentation ability.
keywords: COVID-19 | Computer aided diagnosis (CAD) | Feature learning | Image recognition | Machine vision
مقاله انگلیسی
2 Quantum Speedup for Inferring the Value of Each Bit of a Solution State in Unsorted Databases Using a Bio-Molecular Algorithm on IBM Quantum’s Computers
سرعت کوانتومی برای استنباط ارزش هر بیت از یک حالت راه حل در پایگاه های داده مرتب نشده با استفاده از الگوریتم زیست مولکولی در رایانه های کوانتومی IBM-2022
In this paper, we propose a bio-molecular algorithm with O(n2) biological operations, O(2n−1) DNA strands, O(n) tubes and the longest DNA strand, O(n), for inferring the value of a bit from the only output satisfying any given condition in an unsorted database with 2n items of n bits. We show that the value of each bit of the outcome is determined by executing our bio-molecular algorithm n times. Then, we show how to view a bio-molecular solution space with 2n-1 DNA strands as an eigenvector and how to find the corresponding unitary operator and eigenvalues for inferring the value of a bit in the output. We also show that using an extension of the quantum phase estimation and quantum counting algorithms computes its unitary operator and eigenvalues from bio-molecular solution space with 2n-1 DNA strands. Next, we demonstrate that the value of each bit of the output solution can be determined by executing the proposed extended quantum algorithms n times. To verify our theorem, we find the maximum-sized clique to a graph with two vertices and one edge and the solution b that satisfies b2 ≡ 1 (mod 15) and 1 < b < (15/2) using IBM Quantum’s backend.
Index Terms: Data structures and algorithms | molecular algorithms | quantum algorithms | NP-complete problems.
مقاله انگلیسی
3 Publish–Subscribe approaches for the IoT and the cloud: Functional and performance evaluation of open-source systems
رویکردهای انتشار – اشتراک برای اینترنت اشیا و ابر: ارزیابی عملکرد و کارایی سیستم‌های منبع باز-2022
Publish–Subscribe systems facilitate the communication between services or applications. A typical system comprises the publisher, the subscriber, and the broker but, may also feature message queues, databases, clusters, or federations of brokers, apply message delivery policies, communication protocols, security services, and a streaming API. Not all these features are supported by all systems or, others may be optional. As a result, there is no common ground for the comparison of Publish–Subscribe systems. This paper presents a critical survey and taxonomy of Publish–Subscribe systems, of their design features and technologies. The concepts of message queuing, publish–subscribe systems, and publish–subscribe protocols for the cloud and the IoT are discussed and clarified. The respective evaluation is about seven state-of-the-art open-source systems namely, Apache Kafka, RabbitMQ, Orion-LD, Scorpio, Stellio, Pushpin, and Faye. For the sake of fair comparison, a minimum set of common features is identified in all systems. All systems are evaluated and compared in terms of functionality and performance under real-case scenarios.
keywords: صف پیام | انتشار – اشتراک | معیارها | ارزیابی | Message queue | Publish–subscribe | Benchmarks | Evaluation
مقاله انگلیسی
4 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
5 A cancelable biometric authentication system based on feature-adaptive random projection
یک سیستم احراز هویت بیومتریک قابل لغو بر اساس طرح تصادفی سازگار با ویژگی-2021
Biometric template data protection is critical in preventing user privacy and identity from leakage. Random projection based cancelable biometrics is an efficient and effective technique to achieve biometric template protection. However, traditional random projection based cancelable template design suffers from the attack via record multiplicity (ARM), where an adversary obtains multiple transformed templates from different applica- tions and the associated parameter keys so as to assemble them into a full-rank linear equation system, thereby retrieving the original feature vector. To address this issue, in this paper we propose a feature-adaptive random projection based method, in which the projection matrixes, the key to the ARM, are generated from one basic matrix in conjunction with local feature slots. The generated projection matrixes are discarded after use, thus making it difficult for the adversary to launch the ARM. Moreover, the random projection in the proposed method is performed on a local-feature basis. This feature-adaptive random projection can mitigate the negative impact of biometric uncertainty on recognition accuracy, as it limits the error to part of the transformed feature vector rather than the entire vector. The proposed method is evaluated on four public available databases FVC2002 DB1-DB3 and FVC2004 DB2. The experimental results and security analysis show the validity of the proposed method.
Keywords: Biometric authentication | Template protection | Random projection | Cancelable biometrics
مقاله انگلیسی
6 Self-management on heart failure: A meta-analysis
خود مدیریتی در نارسایی قلبی: متاآنالیز-2021
Background and aims: Heart failure (HF) is a severe public health problem all over the World. Selfmanagement is an effective method to progress self-care ability. However, the role of selfmanagement in heart failure has not been thoroughly elucidated.
Methods: The research articles related to heart failure were searched by the PubMed, Embase, Cochrane databases, and China National Knowledge Database on articles published through March 2020. The average 95% of confidence intervals (CIs) were used to calculate using random-effects or fixed-effects. Review Manager (version 5.2) was adopted for meta-analysis, sensitivity analysis, and bias analysis.
Results: Eight (8) eligible studies with 1707 patients with HF were included in this analysis. In the Metaanalysis showed significant differences for Self-management (SM) groups in Dutch Heart Failure Knowledge Scale (DHFK) (MD ¼ 1.36, 95%CI [-0.03, 2.75], P ¼ 0.04; I2 ¼ 83%), in Self-Care of Heart Failure Index (SCHFI) (MD ¼ 5.51, 95%CI [0.62, 10.40], P ¼ 0.03; I2 ¼ 70%), and in Self-Efficacy for Managing Chronic Disease Scale (SEMCDI) (I2 ¼ 47%, Z ¼ 5.43, P of over effect < 0.0001) than control groups. One bias is detected as attrition bias, and another one is reporting bias. Sensitivity analysis satisfied the stability of the results.
Conclusion: Self-management was associated with significant outcomes in patients with HF through knowledge, attitude, and practice (KAP).
keywords: نارسایی قلبی | خود مدیریت | می شود | متاآنالیز | Heart failure | Self-management | KAP | Meta-analysis
مقاله انگلیسی
7 Midwives knowledge of pre-eclampsia management: A scoping review
دانش ماماها از مدیریت پیشکلامپسی: بررسی اسکاپ-2021
Background: Pre-eclampsia is a multi-organ disease affecting pregnant women from the second trimester onwards resulting in multiple adverse outcomes. Sub-optimal treatment of pre-eclampsia is linked with unfavorable outcomes. It is critical for midwives as primary providers to be competent in the diagnosis and management of pre-eclampsia especially in low-and middle-income countries.
Aim: To identify what midwives’ around the world know about pre-eclampsia management. Methods: A scoping review using the JBI three-step search strategy was used to identify relevant research articles and grey literature on the subject. Database searches in PubMed, CINAHL, Cochrane Databases, Web of Science, and Scopus yielded twenty papers in addition to nine guidelines from Google Scholar. The findings were synthesised using a metasynthesis approach and presented as themes.
Findings: Four themes were identified from the extracted data: Foundational knowledge of preeclampsia; Knowledge and management of a woman with pre-eclampsia according to guidelines; Knowledge of being prepared for emergency procedures and management of emergencies; Factors influencing knowledge. The first three themes addressed diagnosis and management whilst the last theme described how contextual factors led to either increased or decreased knowledge of preeclampsia.
Conclusion: Worldwide, practicing midwives lack knowledge on several aspects of pre-eclampsia diagnosis and care. Policies on in-service training should be oriented to include innovative nontraditional methods that have the potential to increase midwives’ knowledge.
keywords: ماماها | دانش | اطلاع | پیش از اکلامپسی | اختلالات فشار خون بالا بارداری | Midwives | Knowledge | Awareness | Pre-eclampsia | Hypertensive disorders pregnancy
مقاله انگلیسی
8 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
9 Disaster management training in the euregio-meuse-rhine: What can we learn from each other to improve cross-border practices?
آموزش مدیریت بلایا در euregio-meuse-rhine: برای بهبود شیوه های فرامرزی چه چیزی می توانیم از یکدیگر بیاموزیم؟-2021
Increasing numbers of disasters require comprehensive preparedness. Border regions are vulnerable as disasters might not halt at administrative borders. Cross-border coordination is therefore required. As integral part of cross-border collaborations initiative in the Meuse–Rhine Euregio (EMR), we reviewed published evidence informing on existing initiatives dedicated to disaster education in the EMR. A search based on the PRISMA guidelines for scoping reviews was conducted to retrieve articles in the following databases: Medline, PsychInfo and Scopus. The searches were limited to English, French, Dutch and German language articles and the period between January 2010 and June 2019. No restrictions were set for the study design or the type of methodology used. A total of 18 articles met the inclusion criteria out of a total of 1771 publications. Training development was found in two studies while nine studies focused on the state of knowledge in disaster management. Seven articles referred only to technical skills, three only to non-technical skills and eight combined both types of skills. For the technical nature, Knowledge was found seven times, Skills five times and Attitudes twice. On the non- technical side, Knowledge was found three and both Skills twice and Attitudes three times. Five studies trained and assessed all the Knowledge, skills and attitudes. Most of the studies constitute inventories with descriptive reporting and very few experimental studies of quality have been carried. Non-technical skills for disaster preparedness have been well considered among the articles. Cross-border collaboration needs to be further investigated.
keywords: پزشکی فاجعه | حوادث تلفات جمعی | آموزش فاجعه | برنامه ریزی فاجعه | Disaster medicine | Mass casualty incidents | Disaster education | Disaster planning
مقاله انگلیسی
10 The role of knowledge management strategies in improving the quality of educational service – University of Anbar as a model
نقش راهبردهای مدیریت دانش در ارتقای کیفیت خدمات آموزشی – دانشگاه انبار به عنوان مدل-2021
The current research aims at demonstrating the extent of the role of knowledge management strategies as an independent variable and the quality of educational service as a responsive variable. This research is applied at University of Anbar. It tries to come up with a set of recommendations that contribute to strengthening the practice and adoption of the variables in the organizations under study. For the purpose of the search, a sample of (320 members of the teaching staff) from University of Anbar is adopted. The basic questionnaire was relied upon to collect data and information that were processed and analyzed using basic methods such as the arithmetic mean, standard deviation, correlation coefficient and coefficient, difference, importance, and multiple regression. The researchers reach several results that show that University of Anbar is able to use the possibility of the coding dimension of classifying and storing knowledge in databases to be easily entered and used by the individuals in enhancing the quality of educational service at the university. As for the most important recommendations, the administration of University of Anbar should take advantage of the strong relationship between knowledge management strategies to bring about more positive changes in the quality of educational service in general through the exchange of ideas and information between individuals.
keywords: مدیریت دانش | استراتژی های مدیریت | کیفیت خدمات آموزشی | Knowledge management | Management strategies | Educational service quality
مقاله انگلیسی
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