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Enhanced Intelligence Using Collective Data Augmentation for CNN Based Cataract Detection 1

引用

9th International Conference on Frontier Computing, FC 2019

作者： Imran, Azhar Li, Jianqiang Pei, Yan Mokbal, Fawaz Mahiuob Yang, Ji-Jiang Wang, Qing School of Software Engineering Beijing University of Technology Beijing China Computer Science Division University of Aizu Aizuwakamatsu Japan Research Institute of Information Technology Tsinghua University Beijing China

ISBN: (数字)9789811532504

ISBN: (纸本)9789811532498

Cataract is one of the prevailing cause of blindness in the industrial world that accounts for more than 50% of blindness. The early detection of cataract can protect serious threats of visual impairment. Most of the existing work is based on manual extraction of features, but this paper aims at automatic detection of a cataract into its different grades using deep convolutional neural network integrated with data augmentation techniques. The Gaussian-scale space theory and the general data augmentation settings are used to improve the dataset in terms of quality and quantity, which lead to overcome the issues of the unbalanced dataset. The training and testing of the proposed model are performed on both the original dataset and the augmented dataset. The model accuracy of the convolutional neural network with augmented dataset presented in this paper is 0.9691, which shows an optimal performance compared with the original dataset, and other methods. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Convolution

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Reducing Simulation Testing Time by Parallel Execution of Loosely Coupled Segments of a Test Scenario 14

Reducing Simulation Testing Time by Parallel Execution of Lo...

引用

Proceedings of International Workshop on engineering Simulations for Cyber-Physical Systems

作者： Md Abdullah Al Mamun Jörgen Hansson Chalmers | University of Gothenburg Sweden Department of Computer Science and Engineering Division of Software Engineering

ISBN: (纸本)9781450326148

The automotive industry is going through a major transition where all of the main car OEMs (original equipment manufacturer) are putting serious efforts toward self-driving vehicles, and some of the OEMs have the vision to sell fully functional driver-less car by 2020. software is the primary driving force for implementing different functionalities of today's cyber-physical systems. Being a safety critical system, functionalities of an autonomous vehicle need to be rigorously tested in different driving conditions, for example, weather, traffic, road markings, etc. In order to get early feedback on the implemented functionalities, testing in the simulation environment has become common before testing them on the prototype vehicle. This paper presents an approach to reduce the testing time in the simulation environment by parallelly executing the loosely coupled segments of a test scenario. Reducing simulation testing time is also substantial when we need to run regression test scenarios following changes in the implementation. The preliminary investigation shows that by applying the proposed concept, we can significantly reduce the simulation testing time both in the cases of successful and failed run.

关键词： Cyber-Physical Systems Parallel Execution of Test Scenarios Simulation Testing

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Incremental Instance Segmentation for Cluttered Baggage Threat Detection

Incremental Instance Segmentation for Cluttered Baggage Thre...

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2023 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2023

作者： Nasim, Ammara Velayudhan, Divya Ahmed, Abdelfatah Hassan Hassan, Taimur Akcay, Samet Akram, Muhammad Usman Werghi, Naoufel National University of Sciences and Technology Department of Computer and Software Engineering Pakistan Khalifa University KUCARS and C2PS Department of Electrical Engineering and Computer Science United Arab Emirates Abu Dhabi University Department of Electrical and Computer Engineering Abu Dhabi United Arab Emirates Intel Corporation RandD Division United Kingdom

ISBN: (纸本)9781665434454

Identification of contraband items from highly oc-cluded baggage of air travelers is a challenging task even for human experts with very high experience. Many researchers have been working rigorously to develop computer vision-based techniques for baggage screening through X-ray images. Nu-merous machine learning and deep learning-based frameworks have been proposed by researchers in the last two decades. However, all of these techniques face limitations in segmenting prohibited items from highly occluded and cluttered baggage. In this paper, we propose a novel framework based on semantic segmentation to automatically detect concealed prohibited items from X-ray baggage scans. Furthermore, to detect different overlapping instances of the same contraband item, we propose an instance-Aware segmentation model that enables the semantic segmentation model to identify multiple instances of the same threat category through incremental learning without requiring additional overhead. The proposed framework is computationally lighter compared to other similar approaches as it requires min-imal training examples and leverages previous knowledge. The proposed model has outperformed state-of-The-Art instance seg-mentation techniques when tested on publicly available GDXray and SIXray datasets, giving mean average precision scores of 0.50 and 0.47, respectively. In addition, the proposed framework leads other instance segmentation baseline models in terms of mean inference time. © 2023 IEEE.

关键词： Semantic Segmentation

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Platform engineering in enterprise application development

Platform engineering in enterprise application development

引用

International Conference on E-Business and E-Government

作者： Zhou, Jingang Ji, Yong Zhao, Dazhe Liu, Jiren National Engineering Research Center for Computer Software Northeastern University 110004 Shenyang China Platform Software Division Neusoft Corporation 116085 Dalian China Key Laboratory of Medical Image Computing of Ministry of Education Northeastern University 110004 Shenyang China

ISBN: (纸本)9780769539973

Although component-based software development, model-driven development, software product line engineering, and similar things considerably improve software productivity and software quality, modern web based enterprise application development is still facing great challenges. This paper addresses how to deal with the complexity of enterprise application development via platform engineering (PE). We also propose the lessons learned in PE, challenges we are still facing, and some open issues we need to discuss. © 2010 IEEE.

关键词： Facings

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H∞ Consensus Control for Uncertain Stochastic Multi-Agent Systems:A Sliding Mode Approach 35

H∞ Consensus Control for Uncertain Stochastic Multi-Agent S...

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第35届中国控制会议

作者： ZHAO Lin JIA Yingmin YU Jinpeng WANG Na DU Junping School of Automation and Electrical Engineering Qingdao University The Seventh Research Division Beihang University (BUAA) Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and TechnologyBeijing University of Posts and Telecommunications

ISBN: (纸本)9781509009107

This paper studies the consensus control problem of stochastic multi-agent systems subject to unknown state nonlinearities and external disturbances.A novel distributed integral-type sliding surface is constructed for each agent,and a sufficient condition based on linear matrix inequalities（LMIs） is given,which can guarantee the system states are mean-square consensus with H disturbance attenuation index on sliding ***,a distributed adaptive sliding mode control（SMC） law with updated law is proposed such that the sliding surface is *** example is included to show the effectiveness of the proposed method.

关键词： Multi-agent systems Stochastic systems H_∞ Sliding mode control External disturbances

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SNS data Visualization for analyzing spatial-temporal distribution of social anxiety 16

SNS data Visualization for analyzing spatial-temporal distri...

引用

6th International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2016

作者： Lee, Joo Hong Kim, Jae Min Choi, Yong Suk Division of Computer Science and Engineering Hanyang University 133-791 Haengdang-dong Seongdong-gu Seoul Korea Republic of Department of Computer and Software Hanyang University 133-791 Haengdang-dong Seongdong-gu Seoul Korea Republic of

ISBN: (纸本)9781450347549

In this paper, we describe SNS (Social Networking Service, especially Twitter) data visualization for analyzing spatialtemporal distribution of social anxiety. We prepare train data collected from Twitter by using Open API(twitter4j), which represent whether the person who post Tweet, posting message in Twitter, is anxious or not. From these data, dictionary explaining frequency of words is constructed by using KOMORAN which is Korean morphological analysis library. And we design classifier based on Naive Bayes method and estimate degree of anxiety of Tweet which include spatial-temporal information. We visualize these estimations as the form of web application, which are represented as a map and word cloud. As the spatial-temporal data are visualized in this way, we can analyze public opinion about a variety of social events. © 2016 ACM.

关键词： Visualization

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TASEL: Dynamic Taint Analysis with selective control dependency 14

TASEL: Dynamic Taint Analysis with selective control depende...

引用

2014 Conference on Research in Adaptive and Convergent Systems, RACS 2014

作者： Kang, Byeongho Kim, TaeGuen Kang, BooJoong Im, Eul Gyu Ryu, Minsoo Department of Computer and Software Hanyang University Seoul Korea Republic of Institute of Electronics Communications and Information Technology Queen's University of Belfast Belfast United Kingdom Division of Computer Science and Engineering Hanyang University Seoul Korea Republic of

ISBN: (纸本)9781450330602

Dynamic Taint Analysis (DTA) is an approach used for software testing and vulnerability analysis. The vanilla DTA method is widely used, but its simple taint propagation does not consider any control dependency. Therefore, vanilla DTA generally suffers from the under-tainting caused by control dependency. The under-tainting can be problematic when analyzers try to check vulnerabilities of software. In this paper, we propose Dynamic Taint Analysis with Selective Control Dependency (TASEL), to mitigate the under-tainting problem caused by control dependency. Our technique detects control-dependent data which have possibilities to change the program's control flows. We implemented TASEL using Intel Pin, and applied it for the commodity programs such as Microsoft Notepad. Experimental results show our proposed method successfully resolves the under-tainting problem, without causing the over-tainting problem. © 2014 ACM.

关键词： software testing

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Malicious behavior pattern mining using Control Flow Graph

Malicious behavior pattern mining using Control Flow Graph

引用

Research in Adaptive and Convergent Systems, RACS 2015

作者： Choi, Chang Piao, Xuefeng Choi, Junho Lee, Mungyu Kim, Pankoo Department of Computer Engineering Chosun University Gwangju Korea Republic of School of Computer Science and Technology Harbin Institute of Technology China Division of Undeclared Majors Chosun University Gwangju Korea Republic of Dept. of Software Convergence Engineering Chosun University Gwangju Korea Republic of

ISBN: (纸本)9781450337380

Cyber hacking attacks based on malicious code are becoming diversified. Malicious code analysis is very important because static flow analysis can naturally be helpful as part of the detection process given that malicious codes can affect the data and control flow of a program. This paper introduces the representation method of the Control Flow Graph based on malicious codes. Our proposed method can detect well-known malicious codes and their variants. In addition, the proposed method shows a new response method through the conceptual approach method of source codes. © 2015 ACM.

关键词： Graphic methods

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MOCLO: A cloud framework for mobile devices

MOCLO: A cloud framework for mobile devices

引用

2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

作者： Gangil, Akash Dhurandher, Sanjay K. Obaidat, Mohammad S. Singh, Vijit Bhatia, Sushant Department of Computer Engineering Netaji Subhas Institute of Technology University of Delhi New Delhi India Division of Information Technology Netaji Subhas Institute of Technology University of Delhi New Delhi India Department of Computer Science and Software Engineering Monmouth University NJ United States

ISBN: (纸本)9780769550466

With the advent of smartphones, mobile-devices have evolved as powerful mini-computers. However, they still suffer from two intrinsic shortcomings, namely limited battery-power and inferior processors compared to their laptop counterparts. Several approaches based on cloud-computing have been suggested in the past to augment the performance of mobile devices and overcome these shortcomings. The utility of these approaches is demarcated by the maximum bandwidth and minimum latency that could be achieved in a cloud over the Internet. In this paper we propose MOCLO, a framework that operates upon locally-installed cloud called MOCLETS which is free from majority of shortcomings present in other Internet based cyber-foraging models. The paper also outlines the optimal architecture of mobile-applications to gain maximum benefit from MOCLO. A proof-of-concept prototype of MOCLO has also been implemented. Results have shown significant decrease in battery consumption and processing time of mobile applications leveraging MOCLO APIs. We also outline the significant cyber foraging frameworks proposed so far and where MOCLO stands in comparison to them. Towards the end we discuss the limitations of MOCLO and scalability issues and consider possible solutions for the same. © 2013 IEEE.

关键词： computation offloading

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Portable compilers for OpenMP

Portable compilers for OpenMP

引用

International Workshop on OpenMP Applications and Tools, WOMPAT 2001

作者： Min, Seung Jai Kim, Seon Wook Voss, Michael Lee, Sang Ik Eigenmann, Rudolf School of Electrical and Computer Engineering Purdue University West LafayetteIN47907-1285 United States Kuck & Associates Software A Division of Intel Americas Inc ChampaignIL61820 United States

ISBN: (纸本)9783540445876

The recent parallel language standard for shared memory multiprocessor (SMP) machines, OpenMP, promises a simple and portable interface for programmers who wish to exploit parallelism explicitly. In this paper, we present our effort to develop portable compilers for the OpenMP parallel directive language. Our compiler consists of two parts. Part one is an OpenMP parallelizer, which transforms sequential languages into OpenMP. Part two transforms programs written in OpenMP into thread-based form and links with our runtime library. Both compilers are built on the Polaris compiler infrastructure. We present performance measurements showing that our compiler yields results comparable to those of commercial OpenMP compilers. Our infrastructure is freely available with the intent to enable research projects on OpenMP-related language development and compiler techniques. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Application programming interfaces (API)

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