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2018 IEEE International conference on Electron Devices and Solid State Circuits, EDSSC 2018

作者： Zhang, Shengdong Shao, Yang School of Electronic and Computer Engineering Peking University Shenzhen518055 China Active Matrix Display Beijing Engineering Research Center Peking University Beijing100871 China

ISBN: (纸本)9781538662342

The key technology issues for fabrication of high performance self-aligned top gate amorphous metal oxide thinfilm transistors are addressed. These issues include the sputtering deposition of active layer of metal oxide, the PECVD growth of gate oxide, the plasma enabled interface treatment between the active layer and gate insulator, the doping method for low resistance source-drain regions, and the annealing process for performance enhancement. With these issues well addressed, high performance self-aligned top-gate TFTs with various amorphous oxide channel materials, like aIGZO, a-IZO and a-ZTO have been achieved. © 2018 IEEE.

关键词： Semiconductor doping

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Crowdsourcing annotation system of object counting dataset for deep learning algorithm 2

Crowdsourcing annotation system of object counting dataset f...

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2nd International conference on Eco Engineering Development 2018, ICEED 2018

作者： Cenggoro, Tjeng Wawan Tanzil, Fidelson Aslamiah, Ayu Hidayah Karuppiah, Ettikan Kandasamy Pardamean, Bens Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Program Bina Nusantara University Jakarta11480 Indonesia NVIDIA Corporation Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia

Deep Learning is currently the state-of-the-art technique for various computer Vision tasks, including object counting. Despite of its high performance, Deep Learning requires a gigantic amount of training data to show its best result. Getting this massive data in reasonable time requires a proper strategy such as crowdsourcing. However, in case of object counting, we found no crowdsourcing system able to effectively collect necessary data. To tackle this problem, we develop a crowdsourcing system to annotate image for object counting dataset. This system is also equipped with validation system to ensure the quality of collected dataset. © 2018 Institute of Physics Publishing. All rights reserved.

关键词： Crowdsourcing

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computer simulation of heat transfer processes in aircraft landing gear braking mechanisms

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IOP conference Series: Materials Science and Engineering 2021年第1期1111卷

作者： E A Deren A E Volkhonsky D V Konoval Moscow Aviation Institute (National Research University) 4 Volokolamskoe highway Moscow 125993 Russia

Landing gear brakes – multi-disc brakes, as the responsible mechanism of the aircraft, must have the lowest possible weight and dimensions, high performance, increased service life and reduced life cycle cost. Solving these problems will reduce the design and development cycle of multi-disc chassis brakes. To perform the calculations, a computer mathematical model based on the use of the finite element method is proposed, replacing the classical version of the calculation based on currently used mathematical models, taking into account the heating of the aircraft landing gear braking mechanism, which will increase the speed, accuracy of calculations and reduce their labor intensity. We have developed a computer mathematical model of heat transfer processes occurring in the friction elements of multi-disc landing gear braking systems at the second stage of landing using the COMSOL Multiphysics program. Based on the calculations performed using this model, it is possible to take into account the influence of various system parameters such as the number of friction disks, their diameter and thickness, the medium in the interstitial space, the size of the solver grid on the maximum heating temperature of the brake mechanism, the cooling rate, the calculation time and the calculation error. On the basis of the obtained experimental data, we can conclude about the preferable construction of the brake mechanism. For example, it is possible to produce friction plates, steel with application to the surface of the composite friction material, allowing it to maintain the necessary friction and thus reduce the dimensions and maximum temperature, wet-disc brakes. The results of this work can be applied not only in the aviation industry, but can also be used to calculate the mechanisms of multi-disc oil-loaded brakes, which are used in agricultural, forestry, construction, quarry and other special equipment. In future work, the developed model will allow carrying out calculations

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CNN-based brain tumor segmentation and 3D visualization

CNN-based brain tumor segmentation and 3D visualization

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2018 International conference on Image Processing, computer Vision, and Pattern Recognition, IPCV 2018

作者： So, Jae-Hong Choi, Boo-Kyeong Madusanka, Nuwan Choi, Heung-Kook Dept. of Digital Anti-Aging Healthcare U-AHRC Inje University Gimhae Korea Republic of Dept. of Computer Engineering U-AHRC Inje University Gimhae Korea Republic of

ISBN: (纸本)1601324855

In this paper present, our ongoing work on applying Convolution Neural Network for brain tumor segmentation. CNNs have achieved state-of-the-art performance for automatic medical image segmentation. However, they have not demonstrated sufficiently accurate and robust results for clinical use. The proposed networks are adapted to gliomas tumors in MR images. By their very nature, automatic segmentation and early diagnosis of brain tumor is a challenging problem. These tumors can appear anywhere in the brain and have almost any kind of shape, size, and contrast. These reasons motivate our exploration of a machine learning solution that exploits a flexible, high capacity CNN while being extremely efficient. Under the mentioned problems above, this paper put forward a new method: Based on traditional CNNs, a new architecture model is proposed for automatic brain tumor segmentation, which combines multi-modality images. © 2018 International conference on Image Processing, computer Vision, and Pattern Recognition, IPCV *** right reserved.

关键词： Tumors

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Enhancement of Bone Metastasis from CT Images Based on Salient Region Feature Registration 18

Enhancement of Bone Metastasis from CT Images Based on Salie...

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18th International conference on Control, Automation and Systems (ICCAS)

作者： Sato, Suguru Lu, Huimin Kim, Hyoungseop Murakami, Seiichi Ueno, Midori Terasawa, Takashi Aoki, Takatoshi Kyushu Inst Technol 1-1 Sensui Kitakyushu Fukuoka 8048550 Japan Univ Occupat & Environm Hlth 1-1 Iseigaoka Kitakyushu 8078555 Japan

ISBN: (纸本)9788993215151

In recent years, the development of the computer-aided diagnosis (CAD) systems to support radiologist is attracting attention in medical research field. One of them is temporal subtraction technique. It is a technique to generate images emphasizing temporal changes in lesions by performing a differential operation between current and previous image of the same subject. In this paper, we propose an image registration method for image registration of current and previous image, to generate temporal subtraction images from CT images and enhanced bone metastasis region. The proposed registration method is composed into three main steps: i) automatic segmentation of the region of interest (ROI) using position information of the spine based on biology, ii) use global image matching to select pairs from previous and current image, and iii) final image matching based on salient region feature. We perform registration technique on synthetic data and confirm usefulness of the proposed method. Furthermore, radiologist conduct comparative experiments without and with temporal subtraction images created by proposed method. As a result, they show high reading performance by using temporal subtraction images.

关键词： computer Aided Diagnosis Temporal Subtraction Technique Image Registration Bone Metastasis Segmentation Normalized Cross Correlation Salient Region Feature

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DORA: Optimizing Smartphone Energy Efficiency and Web Browser performance under Interference

DORA: Optimizing Smartphone Energy Efficiency and Web Browse...

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IEEE International Symposium on performance Analysis of Systems and Software (ISPASS)

作者： Shingari, Davesh Arunkumar, Akhil Gaudette, Benjamin Vrudhula, Sarma Wu, Carole-Jean Arizona State Univ Sch Elect Comp & Energy Engn Tempe AZ 85287 USA Arizona State Univ Sch Comp Informat & Decis Syst Engn Tempe AZ 85287 USA

ISBN: (纸本)9781538650103

This paper proposes DORA - a dynamic frequency controller that maximizes the energy efficiency of smartphones subject to user satisfaction demands in the presence of memory interference stemmed from background processes and co-scheduled applications. The proposed algorithm predicts the optimal energy-efficient frequency setting at runtime using statically-trained performance, dynamic power, and leakage power models. The parameters of the models represent web page characteristics and dynamically varying architecture and system conditions. The algorithm is designed, implemented and extensively evaluated on a Google Nexus 5 smartphone using a variety of mobile web browsing workloads. The results show high prediction accuracies for the performance and power models of 97.5% and 96%, respectively. Overall, DORA improves the smartphone's energy efficiency by an average of 16% compared to the default Android frequency governor, interactive, while maintaining the desired levels of user satisfaction (web page load time).

关键词： Web pages Interference Browsers Quality of service Time-frequency analysis program processors Rendering (computer graphics)

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Multi-modal hand gesture designing in multi-screen touchable teaching system for human-computer interaction 18

Multi-modal hand gesture designing in multi-screen touchable...

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2nd International conference on Advances in Image Processing (ICAIP) / 2nd International conference on Software Engineering and Development (ICSED

作者： Liu, Tingting Chen, Zengzhao Liu, Hai Zhang, Zhaoli Chen, Yingying Cent China Normal Univ Natl Engn Res Ctr E Learning Wuhan Peoples R China Carnegie Mellon Univ Sch Comp Sci 5000 Forbes Ave Pittsburgh PA 15213 USA City Univ Hong Kong Dept Mech Engn Hong Kong Peoples R China

ISBN: (纸本)9781450364607

In this paper, we developed a hand gesture recognition technology in a human-computer interaction system with several hand gestures. The proposed system can help teacher to control the multi-screen touchable teaching tools, such as sweeping right or left to access the previous or next slide, with a fist to call the eraser tool to rub out the wrong content. To verify its efficiency and other qualities, we conducted a quasi-experiment in our program site in east part of China which analyzed the pre- and post-test scores in Math class of each experimental groups. Moreover, the error recognition rate is reduced by increasing the relevant features and threshold training for the teaching application. Experimental results demonstrate that the proposed system achieves the high accuracy and real-time performance.

关键词： Human-computer interaction system development hand gesture recognition Educational technology

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high-performance Symmetric Cryptography Server with GPU Acceleration 19th

High-Performance Symmetric Cryptography Server with GPU Acce...

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19th International conference on Information and Communications Security (ICICS)

作者： Cheng, Wangzhao Zheng, Fangyu Pan, Wuqiong Lin, Jingqiang Li, Huorong Li, Bingyu Data Assurance & Commun Secur Res Ctr Beijing Peoples R China Chinese Acad Sci State Key Lab Informat Secur Inst Informat Engn Beijing Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China

ISBN: (纸本)9783319895000;9783319894997

With more and more sensitive and private data transferred on the Internet, various security protocols have been developed to secure end-to-end communication. However, in practical situations, applying these protocols would decline the overall performance of the whole system, of which frequently-used symmetric cryptographic operations on the server side is the bottleneck. In this contribution, we present a high-performance symmetric cryptography server. Firstly, a symmetric algorithm SM4 is carefully scheduled in GPUs, including instruction-level implementation and variable location improvement. Secondly, optimization methods is provided to speed up the inefficient data transfer between CPU and GPU. Finally, the overall server architecture is adopted for mass data encryption, which can deliver 15.96 Gbps data encryption through network, 1.23 times of the existing fastest symmetric cryptographic server. Furthermore, the server can be boosted by 2.02 times with the high-speed pre-calculation technique for long-term-key applications such as IPSec VPN gateways.

关键词： Symmetric Cryptographic Algorithm Graphics Processing Unit (GPU) CUDA SM4 implementation Symmetric cryptography server performance

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Accelerating Real-Time, high-Resolution Depth Upsampling on FPGAs 3

Accelerating Real-Time, High-Resolution Depth Upsampling on ...

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3rd IEEE International conference on Image Processing, Applications and Systems (IPAS)

作者： Langerman, David Sabogal, Sebastian Ramesh, Barath George, Alan Univ Pittsburgh Dept Elect & Comp Engn NSF Ctr Space High Performance & Resilient Comp S Pittsburgh PA 15260 USA

ISBN: (纸本)9781728102474

While the popularity of high-resolution, computer-vision applications (e.g. mixed reality, autonomous vehicles) is increasing, there have been complementary advances in time-of-flight depth sensor resolution and quality. These advances in time-of-flight sensors provide a platform for new research into realtime, depth-upsampling algorithms targeted at high-resolution video systems with low-latency requirements. This paper describes a case study in which a previously developed bilateral-filter-style upsampling algorithm is profiled, parallelized, and accelerated on an FPGA using high-level synthesis tools from Xilinx We show that our accelerated algorithm can effectively upsample the resolution and reduce the noise of time-of-flight sensors. We also demonstrate that this algorithm exceeds the real-time requirements of 90 frames per second necessitated by mixed-reality hardware, achieving a lower-bound speedup of 40 times over the fastest CPU-only version.

关键词： time-of-flight sensor depth upsampling FPGA acceleration high level synthesis image processing

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Secure high-performance computer Architectures: Challenges and Opportunities

Secure High-Performance Computer Architectures: Challenges a...

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25th IEEE International conference on high performance Computing, Data and Analytics (HiPC)

作者： Devadas, Srini MIT EECS Cambridge MA 02139 USA

ISBN: (纸本)9781538683866

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. Recent work has shown that architectural isolation can be violated through software side channel attacks that exploit microarchitectural performance optimizations such as speculation to leak secrets. While turning off microarchitectural optimizations can preclude some classes of attacks, we argue that performance and security do not have be in conflict, provided processors are designed with security in mind. We espouse a principled approach to eliminating entire attack surfaces through microarchitectural isolation, rather than plugging attack-specific privacy leaks. We argue that minimal modifications to hardware can defend against all currently-practical side channel attacks and without significant performance impact. As an application of this approach, we describe the Sanctum processor architecture that offers strong provable isolation of software modules running concurrently and sharing resources, and Sanctoom, a speculative, out-of-order variant with similar properties. These processors provide isolation even when large parts of the operating system are compromised, and their open-source implementations allow security properties to be independently verified.

关键词： Microarchitecture program processors Side-channel attacks Optimization Hardware

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