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The Shape Beauty of Glass Material

The Shape Beauty of Glass Material

引用

international conference in Electrics, Communication and automatic control, ECAC 2011

作者： Yi, R. Art Design Faculty of Art Department Hunan International Economic University Changsha China

ISBN: (纸本)9781441988485

As a special kind of synthetic material, glass is widely used in every aspect of our daily life. The glass products can give off a flavor of peace and purity, whose glistening and smooth surface, harmonious transition of light and shade are the embodiment of shape beauty in the design. In view of the uniqueness of the glass material, thebeauty of its shape is significantly the beauty of light and shade, beauty of time and space, sense of invisibility and visibility, and the beauty of fun. © Springer science+Business Media, LLC 2012.

关键词： Visibility

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A fully automatic framework to localize esophageal tumor for radiation therapy

A fully automatic framework to localize esophageal tumor for...

引用

2019 IEEE international conference on Real-Time computing and Robotics, RCAR 2019

作者： Ren, Haipei Li, Teng Pang, Yu College of Electrical Engineering and Automation Anhui University Hefei Anhui230601 China Chongqing University of Posts and Telecommuncations China

ISBN: (纸本)9781728137261

automatic localization of esophageal tumors is an important part of target volume planning in radiotherapy. Currently, the main localization method is manual localization. Traditional manual positioning is time-consuming and inaccurate for the following reasons. First of all, esophageal neoplasms are irregular in shape. The second, the tumor image was insufficiently contrasted with the surrounding tissue. Also, the tumor area is highly heterogeneous. To solve these problems, this paper proposes an automatic positioning framework combining single point multi-box detector (SSD) with the optimized VGG16 deep learning network. The optimized algorithm network has achieved good results in our esophageal tumor localization experiment. The experimental data consists of 96 esophageal VMAT plans and training set consists of 60 patients, the remaining 36 patient data sets were used as the test set. We trained with 5000 slices and tested with 1000. The experiment result showed the tumor areas of 820 CT slices were effectively located, and the accuracy rate of intersection greater than and (IoU)[6] value was 82%. These promising results suggest that the target area of esophageal tumor can be well located in our optimized framework, which can improve the efficiency and quality of plan making of esophageal tumor radiotherapy. © 2018 IEEE

关键词： Tumors

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A Review on Magnetic Resonance Spectroscopy for Clinical Diagnosis of Brain Tumour using Deep Learning 3

A Review on Magnetic Resonance Spectroscopy for Clinical Dia...

引用

3rd international conference on Advances in computing, Communication control and Networking, ICAC3N 2021

作者： Rajeev, S.K. Rajasekaran, M. Pallikonda Krishna Priya, R. Al Bimani, Ali Kalasalingam Univeristy Department of Electronics Commnication Engineering TamilNadu Madurai India National Univerisity of Science and Technology Department of Electrical Commnication Engineering Oman National Univerisity of Science and Technology Oman

ISBN: (纸本)9781665438117

Medical imaging is a way to analyze the anatomical structure of the body. With the advent of new technologies, more and more sophisticated imaging techniques have been developed such as MRI, CT, PET, X-ray, etc. which have made the non-invasive diagnosis of diseases a lot easier. Magnetic Resonance Spectroscopy (MRS) gives detailed information about the chemical changes occurring in the brain by measuring the change of metabolites. It can be used to diagnose tumors in the brain and other brain-related diseases and disorders. Magnetic resonance spectroscopy is an encouraging tool that can be used for the effective diagnosis and grading of brain tumors but it suffers from many problems such as baseline distortions and artifacts, low resolution, low intensity images which makes its applicability a practical difficulty. The advancements in the field of Deep Learning can be effectively used to tackle the challenges in MRS which in turn can be employed for the brain tumor detection and classification. © 2021 IEEE.

关键词： Magnetic resonance spectroscopy

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Bridge Strength Preservation by automatic Traffic Density control: An IoT Application 1

Bridge Strength Preservation by Automatic Traffic Density Co...

引用

1st international conference on Advances in science, engineering and Robotics Technology, ICASERT 2019

作者： Rahman, Aisha B. Kamal, Md. Shahriar Islam, Ariful University of Chittagong Department of Electrical Electronic Engineering Chittagong Bangladesh

ISBN: (纸本)9781728134451

Bridges are expensive and important constituents in the transportation network and any failure associated with it results in a huge loss of money, time and sometimes, lives. Bridges are important structures considering its use and purpose-serving. It may fail due to aging, loading conditions and natural disasters. Every bridge construction specifies a limit of weight of the vehicles that can ride it. However, still there is a very large record of bridge failures due to overloading. The proposed system is a wireless sensor network which monitors the weight of the vehicles on the bridge and provides immediate protection when the failure of the structure is nearly estimated due to excessive load. This design uses embedded sensors (piezoelectric sensors and accelerometers) over the bridge deck and its girder for the continuous governance of the bridge conditions. Data collected from the sensors are sent to a database server connected to the internet (forming an advanced wireless technology called Internet of things (IoT)) to activate traffic control when the limit crosses in order to eliminate high losses which would've occurred if the bridge have collapsed. © 2019 IEEE.

关键词： Internet of things

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NARX-based multi-step ahead response time prediction for database servers

NARX-based multi-step ahead response time prediction for dat...

引用

2011 11th international conference on Intelligent Systems Design and Applications, ISDA'11

作者： Amani, Payam Kihl, Maria Robertsson, Anders Department of Electrical and Information Technology Lund University Sweden Department of Automatic Control Lund University Sweden

ISBN: (纸本)9781457716751

Advanced telecommunication applications are often based on a multi-tier architecture, with application servers and database servers. With a rapidly increasing development of cloud computing and data centers, characterizations of the dynamics for database servers during changing workloads will be a key factor for analysis and performance improvements in these applications. We propose a multi-step ahead response time predictor for database queries based on a nonlinear autoregressive neural network model with exogenous inputs. The estimator shows many promising characteristics which make it a viable candidate for being implemented in admission control products for database servers. Performance of the proposed predictor is evaluated through experiments on a lab setup with a MySQL-server. © 2011 IEEE.

关键词： Query languages

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Emergence, Evolution, and Applications of Cyber-Physical Systems in Smart Society 4

Emergence, Evolution, and Applications of Cyber-Physical Sys...

引用

4th international conference on Advances in electrical, computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Kumar, Sunil Bhowmik, Biswajit National Institute of Technology Karnataka Maharshi Patanjali Cps Lab Brics Laboratory Department of Computer Science and Engineering Surathkal Mangalore575025 India

ISBN: (纸本)9798350343670

With rapid technological advancement, cyber-physical systems (CPS) become an emerging era of engineered systems based on computing, networking, and control technologies that revolutionize human lives. New and smart CPS drives innovation and competition in industrial automation, transportation, healthcare applications, etc. Therefore, it is essential to explore the area. The paper presents the emergence of CPS. It includes CPS's evolution, its necessity, and its importance. Then, we explore the diverse applications of CPS in a smart society. Next, we explore various challenges and recent state-of-the-art to overcome these challenges. CPS connects strongly to the currently prevalent terms Internet of Things, the Industrial Internet, Industry 4.0, and Internet of Everything. All of these illustrate a technology that fundamentally connects the physical and digital worlds. CPS is more foundational and durable than all of these. Thus, the work presented here provides a view of substantial social consequences, making its trend progressive. © 2024 IEEE.

关键词： CPS Application CPS Challenges and Research Dimensions CPS Classification CPS Emergence Cyber-Physical Systems

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Improved methodology for estimating specific energy consumption in electric arc furnaces when changing electrical modes

Improved methodology for estimating specific energy consumpt...

引用

2021 international conference on Industrial engineering, Applications and Manufacturing, ICIEAM 2021

作者： Nikolaev, A.A. Efremov, V.A. Tulupov, P.G. Automated Electric Drive and Mechatronics dept Nosov Magnitogorsk State Technical University Magnitogorsk Russia

ISBN: (纸本)9781728145877

The paper describes a methodology for evaluating the improved electric modes efficiency for arc steel-making furnaces and ladle-furnaces. The technical effect is achieved due to the reduction of specific electricity consumption. It is shown that a direct comparison of electric power consumption in the compared periods before and after the electric regime change of arc furnace cannot be considered as objective assessment, since different technological factors have influenced the plant. Data on time, electrical and process parameters were collected for the two analysed periods. The proposed methodology uses the regression models of electrical consumption for arc steel-making furnace and ladle-furnace plant. The average values of sampling factors are analysed. The authors determine two periods in which it is more difficult to achieve a reduction in specific energy consumption. Furthermore, the technical effect is adjusted to the most severe conditions. The average values of the hardest period factors are substituted in both regression equations. Then the specific electricity consumption is estimated. This methodology is applicable when changing the settings of existing automatic control systems or when replacing old systems with new ones. © 2021 IEEE.

关键词： Regression analysis

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NOMA Cooperative Spectrum Sharing Average Capacity Improvement in 5G Network 3

NOMA Cooperative Spectrum Sharing Average Capacity Improveme...

引用

3rd IEEE international Maghreb Meeting of the conference on sciences and Techniques of automatic control and Computer engineering, MI-STA 2023

作者： Hassan, Mohamed Saeed, Rashid A. Mokhtar, Rania A. Hamid, Khalid Ali, Elmustafa Sayed Odeh, Nidhal Singh, Manwinder Khalifa, Othman O. Islam, Shayla Lovely Professional University Department of Wireless Communication Punjab Phagwara144001 India Taif University College of Computers and Information Technology Department of Computer Engineering P.O. Box 11099 Taif21944 Saudi Arabia University of Science & Technology Department of Communication Systems Engineering P.O. Box 00000 Omdurman Sudan Department of Electronics Engineering Khartoum Sudan University of Wollongong School of Electrical Computer and Telecommunications Engineering Australia International Islamic University Malaysia Gombak Malaysia Libyan Center for Engineering Resarch and Information Technology Department of Electrical and Computer Engineering Bani Waleed Libya Institute of Computer Science and Digital Innovation Ucsi University Malaysia Department of Computer Science Kuala Lumpur56000 Malaysia

ISBN: (纸本)9798350319897

One of the most effective approaches to satisfying the requirements of the next generation of wireless services is non-orthogonal multiple access (NOMA). Spectrum efficiency and average capacity are two aspects of wireless communication that have become increasingly important as the number of mobile services in use has increased. Using both traditional MIMO and Massive MIMO (M-MIMO), this study proposes two new methods for increasing the average capacity of a 5G network's downlink (DL) NOMA power domain (PD) in conjunction with a Cooperative Cognitive Radio Network (CCRN). The initial method involves NOMA users competing for available rivalry channels (R-CH) on the CCRN. The second technique creates a dedicated channel (D-CH) for NOMA users. The MATLAB program is utilized to evaluate the proposed methods in three scenarios with varying distances, power location coefficients, and transmission power. Successive interference cancellation (SIC) and unstable channel conditions are also considered while assessing the analysis of the proposed system under the assumption of Rayleigh fading. Using DL NOMA PD systems, The results reveal that the higher average capacity of best at transmit power DL NOMA with CCRN (dedicated channel) improved U4 average capacity performance by M-MIMO DL NOMA with CCRN (D-CH) improved by when compared with convention DL NOMA. Formulas in closed form were found for average capacity. The resulting formulas are verified using a Monte Carlo simulation. © 2023 IEEE.

关键词： 5G mobile communication systems

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Multi-class support vector machines for large data sets via minimum enclosing ball clustering

Multi-class support vector machines for large data sets via ...

引用

2007 4th international conference on electrical and Electronics engineering, ICEEE 2007

作者： Cervantes, Jair Li, Xiaoou Yu, Wen Bejarano, Javier Department of Computing CINVESTAV Av. Instituto Politécnico Nacional 2508 07360 México D.F. Mexico Department of Automatic Control CINVESTAV Av. Instituto Politécnico Nacional 2508 07360 México D.F. Mexico

ISBN: (纸本)1424411661

Support Vector Machines (SVM) for binary classification have boon developed in a broad field of applications. But normal SVM algorithms are not suitable for classification of large data sets because of high training complexity. This paper introduces a novel two-stage SVM classification approach for large data sets: minimum enclosing ball (MEB) clustering is introduced to select the training data from the original data set for the first stage SVM, and a de-clustering technique is then proposed to recover the training data for the second stage SVM. Then we extend binary SVM classification to case of multiclass. The novel two-stage multi-class SVM has distinctive advantages on dealing with huge data sets. Finally, we apply the proposed method on several benchmark problems, experimental results demonstrate that our approach have good classification accuracy while the training is significantly faster than other SVM classifiers. ©2007 IEEE.

关键词： Support vector machines

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Design of bulk acoustic wave resonators based on ZnO for filter applications

Design of bulk acoustic wave resonators based on ZnO for fil...

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international conference on electrical engineering, computing science and automatic control (CCE)

作者： Gerardo Francisco Pérez-Sánchez Arturo Morales-Acevedo Electrical Engineering Department Centro de Investigación y Estudios Avanzados (CINVESTAV-IPN) Mexico

In this study we have employed the one-dimensional transfer matrix method, derived from Mason's model, to obtain the input electrical impedance (Z in ) for a four layer (metal/piezoelectric/metal/substrate) thin film bulk acoustic wave resonator (FBAR). The input electrical impedance was calculated taking into account the electromechanical properties of the ZnO thin films, the metal used for the contacts and the silicon oxide (SiO 2 ) supporting layer in order to calculate the electromechanical effective coupling coefficient K 2 eff and the quality factor of the device (Q D ). We use a figure of merit (FOM) defined as the product of K eff 2 × Q D to optimize both parameters simultaneously for their use in microwave band-pass filters. In this analysis, several metals were employed as electrodes in the FBAR device, and we have found that for gold we obtain a higher value for the FOM than for aluminum, copper or silver. In this case, the optimal metal thickness is around 1.5 micrometers. In addition, the calculated values show that for copper and silver electrodes the FOM is almost the same than for gold electrodes. Then, these electrodes could substitute gold electrodes for achieving low cost filters with good electrical performance.

关键词： Acoustic waves Zinc oxide Resonator filters Electrodes Gold Impedance Piezoelectric films Film bulk acoustic resonators Copper Silver

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