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Baseline Photos and Confident Annotation Improve Automated Detection of Cutaneous Graft-Versus-Host Disease

Clinical hematology international 2021年第3期3卷 108-115页

作者： Xiaoqi Liu Kelsey Parks Inga Saknite Tahsin Reasat Austin D Cronin Lee E Wheless Benoit M Dawant Eric R Tkaczyk Department of Veterans Affairs Tennessee Valley Healthcare System Dermatology Service 1310 24th Avenue South Nashville TN 37212-2637 USA. Department of Electrical Engineering and Computer Science Vanderbilt University 361 Jacobs Hall Nashville TN 37235-1662 USA. Vanderbilt Dermatology Translational Research Clinic (***) Department of Dermatology Vanderbilt University Medical Center 719 Thompson Lane One Hundred Oaks Suite 26300 Nashville TN 37204 USA. Department of Biomedical Engineering Vanderbilt University Nashville TN USA.

Cutaneous erythema is used in diagnosis and response assessment of cutaneous chronic graft-versus-host disease (cGVHD). The development of objective erythema evaluation methods remains a challenge. We used a pre-trained neural network to segment cGVHD erythema by detecting changes relative to a patient's registered baseline photo. We fixed this change detection algorithm on human annotations from a single photo pair, by using either a traditional approach or by marking definitely affected ("Do Not Miss", DNM) and definitely unaffected skin ("Do Not Include", DNI). The fixed algorithm was applied to each of the remaining 47 test photo pairs from six follow-up sessions of one patient. We used both the Dice index and the opinion of two board-certified dermatologists to evaluate the algorithm performance. The change detection algorithm correctly assigned 80% of the pixels, regardless of whether it was fixed on traditional (median accuracy: 0.77, interquartile range 0.62-0.87) or DNM/DNI segmentations (0.81, 0.65-0.89). When the algorithm was fixed on markings by different annotators, the DNM/DNI achieved more consistent outputs (median Dice indices: 0.94-0.96) than the traditional method (0.73-0.81). Compared to viewing only rash photos, the addition of baseline photos improved the reliability of dermatologists' scoring. The inter-rater intraclass correlation coefficient increased from 0.19 (95% confidence interval lower bound: 0.06) to 0.51 (lower bound: 0.35). In conclusion, a change detection algorithm accurately assigned erythema in longitudinal photos of cGVHD. The reliability was significantly improved by exclusively using confident human segmentations to fix the algorithm. Baseline photos improved the agreement among two dermatologists in assessing algorithm performance.

关键词： Cutaneous erythema baseline photos change detection chronic graft-versus-host disease computer vision convolutional neural networks longitudinal photos

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A Novel Cyber Threat Intelligence (CTI) Framework for Detecting Android Malware: Work on Progress

A Novel Cyber Threat Intelligence (CTI) Framework for Detect...

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International Conference on Information Technology systems and Innovation (ICITSI)

作者： Andri Wijaya Deris Stiawan Abdiansah Bhakti Yudho Suprapto Iwan Pahendra Anto Saputra Dian Palupi Rini Sayfudin Mohd.Yazid Idris Rahmat Budiarto Department of Information System Universitas Katolik Musi Charitas & Faculty of Engineering Universitas Sriwijaya Indonesia Faculty of Computer Science Universitas Sriwijaya Indonesia Electrical Engineering Dept. Faculty of Engineering Sriwijaya University Palembang Indonesia Informatic Engineering Dept. Faculty of Comp.Science Sriwijaya University Palembang Indonesia Universitas Muhammadiyah Palembang Indonesia School of Computing Faculty of Computing Universiti Teknologi Malaysia Johor Malaysia College of Computing and Information Al-Baha University Al Aqiq Saudi Arabia

ISBN: (数字)9798331511470

ISBN: (纸本)9798331511487

The latest approach in cyber threat intelligence (CTI) is becoming increasingly crucial in detecting evolving cyber threats, including malware on Android devices. This problem is getting deeper when the number of Android users in Indonesia is increasing compared to other platforms. Therefore, it is necessary to develop a new method that integrates the CTI framework with the use of machine learning to improve the accuracy and speed in detecting Android malware. By utilizing intelligence data from structured threat reports, this method aims to identify suspicious patterns and abnormal behavior that may not be detected by conventional security systems so that with this updated security system it is proactive towards the development of new types of malware threats, with the hope of being able to make a significant contribution to strengthening especially mobile devices with the Android platform and being able to provide more effective solutions in reducing the risk of malware attacks on Android.

关键词： Technological innovation Accuracy Operating systems Machine learning Malware Mobile handsets Cyber threat intelligence Security Object recognition Information technology

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Random resistive memory-based deep extreme point learning machine for unified visual processing

arXiv

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arXiv 2023年

作者： Wang, Shaocong Gao, Yizhao Li, Yi Zhang, Woyu Yu, Yifei Wang, Bo Lin, Ning Chen, Hegan Zhang, Yue Jiang, Yang Wang, Dingchen Chen, Jia Dai, Peng Jiang, Hao Lin, Peng Zhang, Xumeng Qi, Xiaojuan Xu, Xiaoxin So, Hayden Wang, Zhongrui Shang, Dashan Liu, Qi Cheng, Kwang-Ting Liu, Ming Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong Key Laboratory of Microelectronic Devices & Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China ACCESS - AI Chip Center for Emerging Smart Systems InnoHK Centers Hong Kong Science Park Hong Kong University of Chinese Academy of Sciences Beijing100049 China Frontier Institute of Chip and System Fudan University Shanghai200433 China College of Computer Science and Technology Zhejiang University Zhejiang310027 China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

Visual sensors, including 3D LiDAR, neuromorphic DVS sensors, and conventional frame cameras, are increasingly integrated into edge-side intelligent machines. Realizing intensive multi-sensory data analysis directly on edge intelligent machines is crucial for numerous emerging edge applications, such as augmented and virtual reality and unmanned aerial vehicles, which necessitates unified data representation, unprecedented hardware energy efficiency and rapid model training. However, multi-sensory data are intrinsically heterogeneous, causing significant complexity in the system development for edge-side intelligent machines. In addition, the performance of conventional digital hardware is limited by the physically separated processing and memory units, known as the von Neumann bottleneck, and the physical limit of transistor scaling, which contributes to the slowdown of Moore's law. These limitations are further intensified by the tedious training of models with ever-increasing sizes. In this study, we propose a novel hardware-software co-design, random resistive memory-based deep extreme point learning machine (DEPLM), that offers efficient unified point set analysis. Data-wise, the multi-sensory data are unified as point sets and can be processed universally. Software-wise, most weights of deep extreme point learning machines are exempted from training, which significantly reduce training complexity. Hardware-wise, nanoscale resistive memory not only enables collocation of memory and processing, mitigating the von Neumann bottleneck and the slowdown of Moore's law, but also leverages the inherent programming stochasticity for generating the random and sparse weights of the DEPLM, which also lessens the impact of read noise. We demonstrate the system's versatility across various data modalities and two different learning tasks. Compared to a conventional digital hardware-based system, our co-design system achieves 5.90×, 21.04×, and 15.79× energy efficiency improv

关键词： Cost reduction

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Energy-efficient cooperative secure transmission in multi-UAV enabled wireless networks

arXiv

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arXiv 2019年

作者： Hua, Meng Wang, Yi Wu, Qingqing Dai, Haibo Huang, Yongming Yang, Luxi School of Information Science and Engineering Southeast University Nanjing210096 China School of Electronics and Communication Engineering Zhengzhou University of Aeronautics Zhengzhou450046 China Physical Layer Security Laboratory National Digital Switching System Engineering and Technological Research Center Zhengzhou450002 China Department of Electrical and Computer Engineering National University of Singapore Singapore School of Internet of Things Nanjing University of Posts and Telecommunications Nanjing210003 China

This paper investigates a multiple unmanned aerial vehicles (UAVs) enabled cooperative secure transmission scheme in the presence of multiple potential eavesdroppers. Specifically, multiple source UAVs (SUAVs) send confidential information to multiple legitimate ground users and in the meantime multiple jamming UAVs (JUAVs) cooperatively transmit interference signals to multiple eavesdroppers in order to improve the legitimate users' achievable secrecy rate. By taking into account the limited energy budget of UAV, our goal is to maximize the system secrecy energy efficiency (SEE), namely the achievable secrecy rate per energy consumption unit, by jointly optimizing the UAV trajectory, transmit power and user scheduling under the constraints of UAV mobility as well as the maximum transmit power. The resulting optimization problem is shown to be a non-convex and mixed-integer fractional optimization problem, which is challenging to solve. We decompose the original problem into three sub-problems, and then an efficient iterative algorithm is proposed by leveraging the block coordinate descent and Dinkelbach method in combination with successive convex approximation techniques. Simulation results show that the proposed scheme outperforms the other benchmarks significantly in terms of the system SEE. Copyright © 2019, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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LOG-LIO: A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation

arXiv

引用

arXiv 2023年

作者： Huang, Kai Zhao, Junqiao Zhu, Zhongyang Ye, Chen Feng, Tiantian The School of Surveying and Geo-Informatics Tongji University Shanghai China Department of Computer Science and Technology School of Electronics and Information Engineering Tongji University Shanghai China The MOE Key Lab of Embedded System and Service Computing Tongji University Shanghai China Institute of Intelligent Vehicles Tongji University Shanghai China

Local geometric information, i.e., normal and distribution of points, is crucial for LiDAR-based simultaneous localization and mapping (SLAM) because it provides constraints for data association, which further determines the direction of optimization and ultimately affects the accuracy of localization. However, estimating normal and distribution of points are time-consuming tasks even with the assistance of kdtree or volumetric maps. To achieve fast normal estimation, we look into the structure of LiDAR scan and propose a ring-based fast approximate least squares (Ring FALS) method. With the Ring structural information, estimating the normal requires only the range information of the points when a new scan arrives. To efficiently estimate the distribution of points, we extend the ikd-tree to manage the map in voxels and update the distribution of points in each voxel incrementally while maintaining its consistency with the normal estimation. We further fix the distribution after its convergence to balance the time consumption and the correctness of representation. Based on the extracted and maintained local geometric information, we devise a robust and accurate hierarchical data association scheme where point-to-surfel association is prioritized over point-to-plane. Extensive experiments on diverse public datasets demonstrate the advantages of our system compared to other state-of-the-art methods. Our open source implementation is available at https://***/tiev-tongji/LOG-LIO. Copyright © 2023, The Authors. All rights reserved.

关键词： Optical radar

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Parallel and Accelerated Feature Extraction of Manipulative Scene of Space Dim Target

Parallel and Accelerated Feature Extraction of Manipulative ...

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International Conference on Control, Automation and Robotics (ICCAR)

作者： Jiyang Yu Dan Huang Jinyang Li Wenjie Li Xianjie Wang Xiaolong Shi China Academy of Space Technology Beijing Institute of Spacecraft System Engineering Beijing China China Research and Development Academy of Machinery Equipment Beijing China Chongqing University of Technology Chongqing China Intelligent Equipment Research Department Chongqing Feima Innovation Research Institute Chongqing China College of Computer Science and Engineering Chongqing University of Technology Chongqing China

Aiming at the problems of difficult feature extraction and high real-time requirement for weak targets in space manipulation scenes, this paper designed a parallel stream HOG feature computing architecture based on multi-cache interaction, and adopted cell stream splitting and multi-angle interval parallel computing methods to improve the degree of parallelism. The whole architecture adopts 16-bit fixed-point base calculation, transcendental function combined with polynomial expansion and table lookup method to improve the calculation accuracy. 16 detection windows at the same time, the use of parallel computing, effectively improve the response to more than $\mathbf{1024\times 1024}$ pixels high-definition camera real-time computing applications. After testing the data with low signal-to-noise ratio, the error from theoretical calculation is less than 3%. The experimental verification shows that compared with previous designs, the proposed method occupies the same number of resources except Block RAM, and the computational efficiency is increased by at least 57.2%.

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Expert system to Diagnosing Heart Attack Disease Using Certainty Factor Method 1

Expert System to Diagnosing Heart Attack Disease Using Certa...

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1st Workshop on Environmental science, Society, and Technology, WESTECH 2018

作者： Iqbal, Muhammad Fatia, Nurul Surya, Sara Susilawati, Evi Parwito Azharman, Zefri Moelyaningrum, Anita Dewi Wikansari, Rinandita Nugraha, Andri Maifizar, Arfriani Mukarromah, Nur Hasibuan, Abdurrozzaq Kurnia, Dian Ade Sudarsana, I Ketut Department of Computer System Universitas Pembangunan Panca Budi Medan Indonesia Department of Pharmacy University of Dharma Andalas Padang Indonesia Faculty of Education and Teaching Training Universitas Islam Sumatera Utara Medan Indonesia Departement of Agrotechnology Universitas Ratu Samban Bengkulu Indonesia Department of Industrial Engineering University of Putera Batam Batam Indonesia Departement of Environmental Health and Ocupational Health and Safety School of Public Health University of Jember Indonesia Department of International Trade for ASEAN and China Region Politeknik APP Jakarta Indonesia Department of Nursing STIKes Karsa Husada Garut Indonesia Department of Sociology Faculty of Social and Political Sciences Universitas Teuku Umar Meulaboh Indonesia Faculty of Health Science Universitas Muhammadiyah of Surabaya Indonesia Faculty of Engineering Universitas Islam Sumatera Utara Medan Indonesia Departement of Information Technology STMIK IKMI Cirebon Jawa Barat Indonesia Department of Religious Education Institut Hindu Dharma Negeri Denpasar Indonesia

Coronary Heart Disease is one of many diseases that cause death and still being a health problem for both developed and developing countries. It is estimated to double in the next two decades, making it the biggest leading cause of death in 2020. The causes of coronary heart disease contain age and sex, with the incidence of males is more than in females but the incidence of females will increase after menopause (the end of the menstrual cycle) around the age of 50 years. This is due to estrogen (steroid compounds) have a protective effect on the onset of atherosclerosis. In this study the author wants to create a system that can detect heart disease by users before ensuring himself to the doctor to diagnose heart disease which is very dangerous. The system that the author will design used the certainty factor method to provide an assessment of the symptoms of user diagnosis. The application was designed with the desktop-based visual studio software assistance that is easy to use by everyone because it is familiar with the windows display design. © Published under licence by IOP Publishing Ltd.

关键词： Diseases

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Invariance of Furihata’s discrete gradient schemes for the Webster equation with different Riemannian structures

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AIP Conference Proceedings 2015年第1期1648卷

作者： Ai Ishikawa Takaharu Yaguchi *Department of Computer Science and Systems Engineering Faculty of Engineering Kobe University Japan †Department of Computational Science Graduate School of System Informatics Kobe University Japan

We consider invariance of schemes derived by using the discrete gradient method for the Webster equation under change of Riemannian structures. In our previous research we expected that Furihata’s discrete gradient method for the Webster equation has invariance under change of Riemannian structures. In this paper we prove this conjecture.

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An Embedded 8-bit RISC Controller for Yield Enhancement of the 90-nm PRAM

An Embedded 8-bit RISC Controller for Yield Enhancement of t...

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29th Annual IEEE Custom Integrated Circuits Conference (CICC 2007), vol.2

作者： Hyejung Kim Kyomin Sohn Jerald Yoo Hoi-Jun Yoo Semiconductor System Laboratory Department of Electrical Engineering and Computer Science KAIST Daejeon South Korea Samsung Electronics Company Limited Hwasung South Korea

An embedded 8b RISC for advanced memories is designed to control, analyze and optimize the memory timing and voltage parameters. The processor-based built-in-self-optimize (BISO) algorithm is proposed to enhance the memory yield. A test PRAM with the RISC is fabricated in 90nm, 3-metal diode-switch process. By applying BISO, the PRAM margin window increases by 221%. It operates at 100MHz and consumes 28.4mW at 1.0V supply voltage. The embedded RISC enables 100Mb/s/pin read/write throughputs to PRAM.

关键词： Reduced instruction set computing Phase change random access memory Registers Random access memory Decoding Voltage control Throughput Read-write memory Logic testing Control systems

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Multi-functional metasurface architecture for amplitude, polarization and wavefront control

arXiv

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arXiv 2022年

作者： Pitilakis, A. Seckel, M. Tasolamprou, A.C. Liu, F. Deltsidis, A. Manessis, D. Ostmann, A. Kantartzis, N.V. Liaskos, C. Soukoulis, C.M. Tretyakov, S.A. Kafesaki, M. Tsilipakos, O. School of Electrical and Computer Engineering Aristotle University of Thessaloniki ThessalonikiGR-54124 Greece System Integration and Interconnection Technologies Fraunhofer IZM Berlin13355 Germany Institute of Electronic Structure and Laser Foundation for Research and Technology Hellas Crete HeraklionGR-70013 Greece Xi'an Jiaotong University School of Electronic Science and Engineering Xi'An710049 China Department of Electronics and Nanoengineering Aalto University AaltoFI-00076 Finland Department of Computer Science Engineering University of Ioannina Ioannina Greece Ames Laboratory U.S. DOE Department of Physics Astronomy Iowa State University AmesIA50011 United States Department of Materials Science and Technology University of Crete Crete HeraklionGR-70013 Greece

Metasurfaces (MSs) have been utilized to manipulate different properties of electromagnetic waves. By combining local control over the wave amplitude, phase, and polarization into a single tunable structure, a multifunctional and reconfigurable metasurface can be realized, capable of full control over incident radiation. Here, we experimentally validate a multi-functional metasurface architecture for the microwave regime, where in principle variable loads are connected behind the backplane to reconfigurably shape the complex surface impedance. As a proof-of-concept step, we fabricate several metasurface instances with static loads in different configurations (surface mount capacitors and resistors of different values in different connection topologies) to validate the approach and showcase the different achievable functionalities. Specifically, we show perfect absorption for oblique incidence (both polarizations), broadband linear polarization conversion, and beam splitting, demonstrating control over the amplitude, polarization state, and wavefront, respectively. Measurements are performed in the 4-18 GHz range inside an anechoic chamber and show good agreement with theoretically-anticipated results. Our results clearly demonstrate the practical potential of the proposed architecture for reconfigurable electromagnetic wave manipulation. © 2022, CC BY.

关键词： Electromagnetic waves

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