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نتیجه جستجو - Attention

تعداد مقالات یافته شده: 901
ردیف عنوان نوع
81 Gait recognition based on vision systems: A systematic survey
تشخیص راه رفتن بر اساس سیستم های بینایی: یک مرور سیستماتیک-2021
With the growing popularity of biometrics technology in the pattern recognition field, especially identification of human has gained the attention of researchers from both academia and industry. One such type of biometric technique is Gait recognition, which is used to identify a human being based on their walking style. Generally, two types of approaches are adopted by any algorithm designed for gait recognition, namely model based and model free approaches. The key reason behind the popularity of gait recognition is that it can identify a person from a considerable distance while other biometrics has failed to do so. In this paper, the authors have conducted a survey of extant studies on gait recognition in consideration of gait recognition approaches and phases of a gait cycle. Moreover, some aspects like floor sensors, accelerometer based recognition, the influences of environ- mental factors, which are ignored by exiting surveys, are also covered in our survey study. The information of gait is usually obtained from different parts of silhouettes. This paper also describes different benchmark datasets for gait recognition. This study will provide firsthand knowledge to the researchers working on the gait recognition domain in any real-world field. It has been observed that work done on the gait recognition with sufficiently high accuracy is limited in comparison to research on various other biometric recognition systems and has enough potential for future research.
Keywords: Gait recognition | Surveillance | Biometric | Person identification
مقاله انگلیسی
82 Full cost accounting: A missing consideration in global tailings dam management
حسابداری کامل هزینه: بررسی گمشده در مدیریت سد جهانی-2021
This conceptual paper argues that full cost accounting could fill a gap in the new Global Industry Tailings Management Standard by bringing knowledge of externalities to account. Tailings dam management continues to fail the industry, environment and society as one catastrophic disaster follows another. Parties involved have collaborated to produce a Global Industry Tailings Management Standard which is in the process of being rolled out. The Standard is short on detail as to the accounting information needed to improve decision making. In particular there is no provision in the Standard for the cost of environmental and social externalities to be gathered and reported on, internally to newly created Accountable Executives or externally to potentially affected stakeholders. The paper develops recommendations for the integration of full cost accounting into tailings management as the industry transitions towards zero future catastrophic tailings dam disasters and eventual removal of threats from the destructive powers of tailings dam slurry. It concludes by drawing attention to some key research issues that need addressing if full cost accounting for the potential external costs of tailings dam failure is to be assessed and integrated in a standard for best practice tailings management.
keywords: حسابداری کامل بهای تمام شده | خارجی ها | فاجعه سد باطله | استاندارد جهانی مدیریت باطله صنعت | Full cost accounting | Externalities | Tailings dam disaster | Global industry tailings management standard
مقاله انگلیسی
83 A Review of Food Fraud and Food Authenticity across the Food Supply Chain, with an Examination of the Impact of the COVID-19 Pandemic and Brexit on Food Industry
مروری بر تقلب غذایی و اصالت مواد غذایی در سراسر زنجیره تأمین مواد غذایی ، با بررسی تأثیر همه گیر COVID-19 و Brexit در صنایع غذایی-2021
Background Food fraud is the deliberate and intentional act of substituting, altering or misrepresenting foodstuff for financial gain. Economical motivations for food fraud result in criminals focusing on opportunities to commit fraud rather than targeting specific products, thus reducing the probability of food fraud being detected. Although primarily for financial gain, food fraud can impact consumer wellbeing. Therefore, authenticating food is a key stage in protecting consumers and the supply chain. Food manufacturers, processors and retailers are increasingly fighting back as occurrences of food fraud become more prevalent, resulting in a greater focus on detection and prevention.
Scope and approach
The aim of this review paper is to highlight and assess food fraud and authenticity throughout the food supply chain. Food fraud is a significant issue across the food industry, with many high-profile cases coming to public attention. Hence, this paper shall discuss the impact of food fraud on both consumers and manufacturers, the current and future trends in food fraud and methods of defence that are currently in use. Furthermore, emerging issues, such as the COVID-19 pandemic and Brexit, shall be discussed alongside the challenges they yield in terms of food fraud detection and prevention.
Key findings and conclusions
The incidence of food fraud is diverse across the sector, rendering it difficult to quantify and detect. As such, there are numerous food safety and traceability systems in use to ensure the safety and authenticity of food. However, as food fraud continues to diversify and evolve, current methods of detection for guaranteeing authenticity will be drastically challenged. Issues, such as the COVID-19 pandemic and Brexit, have instigated increased demand for food. This combined with reduced industry inspections, weakened governance, audits and ever-increasing pressure on the food industry has exposed greater weaknesses within an already complex system.
KEYWORDS: Food Fraud | Food Authenticity | Food Supply Chain | COVID-19 Pandemic | Brexit | Traceability Systems
مقاله انگلیسی
84 Effect of graphite and Mn3O4 on clay-bonded SiC ceramics for the production of electrically conductive heatable filter
اثر گرافیت و Mn3O4 بر سرامیک های SiC پیوند خورده با خاک رس برای تولید فیلتر قابل گرمایش رسانای الکتریکی-2021
Electrically conductive porous SiC ceramics are attracting substantial attention due to their application in heatable filters, vacuum chuck, and semiconductor processing parts, etc. The main problem is their high processing cost. Ideal candidates from an engineering ceramic perspective will be mechanically durable and have the required electrical properties with sufficiently low fabrication costs. To decrease the sintering temperature, kaolin has been added, but it tended to render the material an insulator. Graphite was used to effectively decrease the electrical resistivity. Additionally, manganese oxide was used to decrease the quantity of kaolin (the component that leads to an insulator material after sintering) and decrease the electrical resistivity while maintaining the mechanical properties. In our study, we found that SiC with 35% kaolin, 20% graphite and 10% manganese oxide can produce samples with 6.5 × 10− 1 Ω cm electrical resistivity and 43.5 MPa flexural strength at a low sintering temperature of 1200 ◦C.
Keywords: SiC | Mullite | Electrical resistivity | Mechanical properties | Manganese oxide
مقاله انگلیسی
85 Automatic fetal biometry prediction using a novel deep convolutional network architecture
پیش بینی بیومتری خودکار جنین با استفاده از معماری شبکه ای پیچیده عمیق جدید-2021
Purpose: Fetal biometric measurements face a number of challenges, including the presence of speckle, limited soft-tissue contrast and difficulties in the presence of low amniotic fluid. This work proposes a convolutional neural network for automatic segmentation and measurement of fetal biometric parameters, including biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC), and femur length (FL) from ultra- sound images that relies on the attention gates incorporated into the multi-feature pyramid Unet (MFP-Unet) network.
Methods: The proposed approach, referred to as Attention MFP-Unet, learns to extract/detect salient regions automatically to be treated as the object of interest via the attention gates. After determining the type of anatomical structure in the image using a convolutional neural network, Niblack’s thresholding technique was applied as pre-processing algorithm for head and abdomen identification, whereas a novel algorithm was used for femur extraction. A publicly-available dataset (HC18 grand-challenge) and clinical data of 1334 subjects were utilized for training and evaluation of the Attention MFP-Unet algorithm.
Results: Dice similarity coefficient (DSC), hausdorff distance (HD), percentage of good contours, the conformity coefficient, and average perpendicular distance (APD) were employed for quantitative evaluation of fetal anatomy segmentation. In addition, correlation analysis, good contours, and conformity were employed to evaluate the accuracy of the biometry predictions. Attention MFP-Unet achieved 0.98, 1.14 mm, 100%, 0.95, and0.2 mm for DSC, HD, good contours, conformity, and APD, respectively.
Conclusions: Quantitative evaluation demonstrated the superior performance of the Attention MFP-Unet compared to state-of-the-art approaches commonly employed for automatic measurement of fetal biometric parameters.
Keywords: Fetal biometry | Ultrasound imaging | Deep learning | Convolutional neural network | Image classification
مقاله انگلیسی
86 Electrical explosion spray of Ag/C composite coating and its deposition behavior
اسپری انفجار الکتریکی پوشش کامپوزیت Ag/C و رفتار رسوبی آن-2021
Ag–C composite coating exhibits excellent electrical and thermal conductivities, good arc mobility, and low contact resistance, making it has a good prospect in switch contact of high voltage isolators. At present, the electro-deposition method is mainly used to prepare Ag/C composite coatings. However, the production efficiency of the electro-deposition method is low and the obtained coatings are thin. The electrical explosion spraying, due to its simplicity and high efficiency, has attracted significant attention in coating preparation. In this study, a new method that confines Ag and graphite powders in a tube for electrical explosion spraying was proposed. Powder electrical explosion spraying was used for preparing an Ag/C composite coating by employing a self-designed device. The heating behavior of the powder during exploding, macroscopic morphology, micromorphology, deposition efficiency, and thickness of the coatings, as well as the deposition behavior of the sprayed particles, were investigated. After a single spraying, a dense and uniform Ag/C composite coating was obtained at the charging voltage of 13 kV and a spray distance of 18 mm. The results show that the coating area is approximately 39.25 mm2, the coating thickness was 50 μm, and the deposition efficiency was 35%. the coatings have good adhesion with the substrate. the interface between the coating and the substrate appeared as an interdiffusion of elements, which was typical of a metallurgical bonding interface. Graphite is evenly distributed in the coating. Furthermore, the underlying deposition behavior of the coating was carefully characterized.
Keywords: Powder electrical explosion spraying | Composite coating | Heating behavior | Deposition behavior
مقاله انگلیسی
87 Power network robustness analysis based on electrical engineering and complex network theory
تجزیه و تحلیل استحکام شبکه قدرت بر اساس مهندسی برق و نظریه شبکه پیچیده-2021
The growing importance of power systems in the development of modern society has increasingly focused the attention on the various dangers to which these systems are exposed. This paper proposes a robust analysis framework based on complex network theory with the aim of exploring the robustness of the power system from a methodological perspective. The analysis framework establishes three models: a purely topological model, an artificial flow model, and a direct current power flow model to analyze the power system structure and functional robustness. We present different analysis metrics under different models, simulate three fault scenarios, and conduct an evaluation and analysis. The validity of the evaluation analysis was further verified by adopting IEEE300 and two randomly generated 1000-node network models that meet the characteristics of small world and scale, respectively, for detailed robustness analysis. The results show that the proposed method can effectively analyze a power system from the perspectives of pure topology, artificial flow, and direct current power flow. The case analysis based on the IEEE300 network and systems with different network characteristics proves that the framework is effective for the evaluation of power systems with different characteristics.
Keywords: Power network | Robustness | Topological model | Artificial flow | Direct current power flow
مقاله انگلیسی
88 MISS-D: A fast and scalable framework of medical image storage service based on distributed file system
MISS-D: یک چارچوب سریع و مقیاس پذیر از خدمات ذخیره سازی تصویر پزشکی بر اساس سیستم فایل توزیع شده-2020
Background and Objective Processing of medical imaging big data is deeply challenging due to the size of data, computational complexity, security storage and inherent privacy issues. Traditional picture archiving and communication system, which is an imaging technology used in the healthcare industry, generally uses centralized high performance disk storage arrays in the practical solutions. The existing storage solutions are not suitable for the diverse range of medical imaging big data that needs to be stored reliably and accessed in a timely manner. The economical solution is emerging as the cloud computing which provides scalability, elasticity, performance and better managing cost. Cloud based storage architecture for medical imaging big data has attracted more and more attention in industry and academia. Methods This study presents a novel, fast and scalable framework of medical image storage service based on distributed file system. Two innovations of the framework are introduced in this paper. An integrated medical imaging content indexing file model for large-scale image sequence is designed to adapt to the high performance storage efficiency on distributed file system. A virtual file pooling technology is proposed, which uses the memory-mapped file method to achieve an efficient data reading process and provides the data swapping strategy in the pool. Result The experiments show that the framework not only has comparable performance of reading and writing files which meets requirements in real-time application domain, but also bings greater convenience for clinical system developers by multiple client accessing types. The framework supports different user client types through the unified micro-service interfaces which basically meet the needs of clinical system development especially for online applications. The experimental results demonstrate the framework can meet the needs of real-time data access as well as traditional picture archiving and communication system. Conclusions This framework aims to allow rapid data accessing for massive medical images, which can be demonstrated by the online web client for MISS-D framework implemented in this paper for real-time data interaction. The framework also provides a substantial subset of features to existing open-source and commercial alternatives, which has a wide range of potential applications.
Keywords: Hadoop distributed file system | Data packing | Memory mapping file | Message queue | Micro-service | Medical imaging
مقاله انگلیسی
89 Cooperative control strategy for plug-in hybrid electric vehicles based on a hierarchical framework with fast calculation
استراتژی کنترل تعاونی برای وسایل نقلیه برقی هیبریدی پلاگین بر اساس یک چارچوب سلسله مراتبی با محاسبه سریع-2020
Developing optimal control strategies with capability of real-time implementation for plug-in hybrid electric vehicles (PHEVs) has drawn explosive attention. In this study, a novel hierarchical control framework is proposed for PHEVs to achieve the instantaneous vehicle-environment cooperative control. The mobile edge computation units (MECUs) and the on-board vehicle control units (VCUs) are included as the distributed controllers, which enable vehicle-environment cooperative control and reduce the computation intensity on the vehicle by transferring partial work from VCUs to MECUs. On this basis, a novel cooperative control strategy is designed to successively achieve the energy management planned by the iterative dynamic programming (IDP) in MECUs and the energy utilization management achieved by the model predictive control (MPC) algorithm in the VCU. The performance of raised control strategy is validated by simulation analysis, highlighting that the cooperative control strategy can achieve superior performance in real-time application that is close to the global optimization results solved offline.
Keywords: Cooperative control strategy | Hierarchical framework | Iterative dynamic programming (IDP) | Model predictive control (MPC) | Plug-in hybrid electric vehicles (PHEVs)
مقاله انگلیسی
90 Establishment and application of intelligent city building information model based on BP neural network model
ایجاد و کاربرد مدل اطلاعات هوشمند شهرسازی براساس مدل شبکه عصبی BP-2020
The construction of smart cities in our country has received extensive attention. Under the situation that smart cities are vigorously promoted nowadays, compared with traditional construction and operation and maintenance methods, building information model (BIM) technology is more suitable to serve as an important foundation for intelligent management in the whole process of construction projects. BIM is an abbreviation for building information model. BIM relies on a variety of digital technologies, which can be used to realize information modeling of urban buildings and infrastructure. The efficiency of information exchange in the process of intelligence construction ensures the integrity and accuracy of information data exchange and maintains the consistency of information data exchange. Data and information have objectivity, applicability, transferability, and sharing. Geographic data is a digital representation of various geographical features and phenomena and their relationships. BIM is a digital representation of physical and functional characteristics of a facility. It can It is used as a shared knowledge resource for facility information. It becomes a reliable basis for facility life-cycle decision-making. Input BP neural network, and then learn and train by BP neural network.
Keywords: BP neural network | Smart city | Building information model
مقاله انگلیسی
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