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Correction to: Extraction of Retinal Layers Through Convolution Neural Network (CNN) in an OCT Image for Glaucoma Diagnosis

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Journal of digital imaging 2021年第4期34卷 1072页

作者： Hina Raja M Usman Akram Arslan Shaukat Shoab Ahmed Khan Norah Saleh Alghamdi Sajid Gul Khawaja Noman Nazir Department of Computer and Software Engineering National University of Sciences and Technology Islamabad Pakistan. hinaraja65@***. Department of Computer and Software Engineering National University of Sciences and Technology Islamabad Pakistan. Department of Computer Science College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Riyadh 11671 Saudi Arabia. Armed Forces Institute of Ophthalmology Rawalpindi Pakistan.

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ANDROIDOFF:Offloading android application based on cost estimation

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Journal of Systems and software 2019年 158卷 110418-000页

作者： Chen, Xing Chen, Jiaqing Liu, Bichun Ma, Yun Zhang, Ying Zhong, Hao College of Mathematics and Computer Science Fuzhou University Fuzhou350116 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou350116 China School of Software Tsinghua University Beijing100084 China National Engineering Research Center of Software Engineering Peking University China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China

Computation offloading is a promising way of improving the performance and reducing the battery power consumption, since it moves some time-consuming computation activities to nearby servers. Although various approaches have been proposed to support computation offloading, we argue that there is still sufficient space for improvements, since existing approaches cannot accurately estimate the execution costs. As a result, we find that their offloading plans are less optimized. To handle the problem, in this paper, given an Android application, we propose a novel approach, called ANDROIDOFF, that supports offloading at the granularity of objects. Supporting such capability is challenging due to the two reasons: (1) through dynamic execution, it is feasible to collect the execution costs of only partial methods, and (2) it is difficult to accurately estimate the execution costs of the remaining methods. To overcome the challenges, given an Android application, ANDROIDOFF first combines static and dynamic analysis to predict the execution costs of all its methods. After all the costs are estimated, ANDROIDOFF synthesizes an offloading plan, in which determines the offloading details. We evaluate ANDROIDOFF on a real-world application, with two mobile devices. Our results show that, compared with other approaches, ANDROIDOFF saves the response time by 8%–49% and reduces the energy consumption by 12%–49% on average for computation-intensive applications. © 2019 Elsevier Inc.

关键词： computation offloading

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Topology Sequences-based Fuzzy Track Initialization Method For Radars and ADS-B*

Topology Sequences-based Fuzzy Track Initialization Method F...

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Asian Control Conference

作者： Xiaobin Li Hongfeng Ma En Fan College of Software Engineering Lanzhou Institute of Technology Lanzhou China College of Electronic and Information Engineering Lanzhou Institute of Technology Lanzhou China Department of Computer Science and Engineering Shaoxing University Shaoxing China

ISBN: (纸本)9781728102634

Radars and automatic dependent surveillance -broadcast (ADS-B) are two important surveillance technologies in aerial surveillance networks. For this situations with different systematic errors of 2D radars and their time-difference-arrival (TOA) measurements in the fusion center, a fuzzy track initialization method based on topology sequences (TS-FTI) for heterogeneous sensors is proposed. In this proposed method, topology sequences of various measurements from a radar and an ADS-B receiver are respectively constructed. Then the topology sequence method is utilized to classify these measurements. The measurement sets of candidate targets can be constructed by accumulating measurements in several successive sampling intervals. Finally, a fuzzy Hough transform (FHT) method is used to detect tracks. The performance of the TS-FTI method is evaluated by simulation experiments, and it is found to be better than that of the track initialization method based on standard Hough transform (HT-TI) in calculated complexity and correct initialization rate.

关键词： Radar tracking Topology Receivers Radar measurements Target tracking Surveillance

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Algorithm Modeling of Smile Intensity Estimation Using a Spatial Attention Convolutional Neural Network

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Journal of Physics: Conference Series 2021年第1期1746卷

作者： Zhenzhen Luo Zongyu Sha Chen Jin Ning Xu School of Software Jiangxi Normal University Jiangxi China School of Computer Science and Technology Wuhan University of Technology Wuhan China School of Information Engineering Wuhan University of Technology Wuhan China

Smile intensity estimation is a challenging task as it required subtle feature extraction, self-adapted weighted model and classifier. complexity of the problem domains, and problems on fine-grained image recognition are some of the issues related to intensity estimation. In this study, we designed a self-weighted deep convolutional neural network architecture for smiles intensity estimation using graphics processing unit. In the case of using only CK+ smile images, the accuracy of the model is also higher than that of the latest technology. Our model achieved better accuracy by just using CK+ smile images than state-of-the-art techniques. Visualizations of learned features at various layers and their deconvolutions are also presented for understanding the learning process.

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Physical layer encryption using a Vernam cipher

arXiv

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arXiv 2019年

作者： Mirsky, Yisroel Fedidat, Benjamin Haddad, Yoram Georgia Institute of Technology School of Computer Science College of Computing Department of Software and Information Systems Engineering Ben-Gurion University Department of Communications Engineering Jerusalem College of Technology

Secure communication is a necessity. However, encryption is commonly only applied to the upper layers of the protocol stack. This exposes network information to eavesdroppers, including the channel's type, data rate, protocol, and routing information. This may be solved by encrypting the physical layer, thereby securing all subsequent layers. In order for this method to be practical, the encryption must be quick, preserve bandwidth, and must also deal with the issues of noise mitigation and synchronization. In this paper, we present the Vernam Physical Signal Cipher (VPSC): A novel cipher which can encrypt the harmonic composition of any analog waveform. The VPSC accomplished this by applying a modified Vernam cipher to the signal's frequency magnitudes and phases. This approach is fast and preserves the signal's bandwidth. In the paper, we offer methods for noise mitigation and synchronization, and evaluate the VPSC over a noisy wireless channel with multi-path propagation interference. Copyright © 2019, The Authors. All rights reserved.

关键词： Cryptography

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The Research on Detection of Crop Diseases Ranking Based on Transfer Learning

The Research on Detection of Crop Diseases Ranking Based on ...

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International Conference on information science and Control engineering (ICISCE)

作者： Mengji Yang Yu He Haiqing Zhang DaiWei Li Abdelaziz Bouras Xi Yu Yiqian Tang School of Information Science and Engineering Chengdu University Chengdu China Department of Software Engineering Chengdu University of Information Technology Chengdu P. R. China Computer Science Department Qatar University ictQATAR Doha Qatar

ISBN: (数字)9781728157122

ISBN: (纸本)9781728157139

Crop diseases are a major global threat to food security. Because the lack of agriculture experts or necessary facilities, it is difficult to determine the type of disease, as well as the degree of disease in time, which became the major factor affecting in crop production. In recent years, with the development of the transfer learning in deep learning domain, the experience of experts can be simulated to detect crop diseases in time. In this paper, we have proposed an improved transfer learning method based on ResNet 50 in crop disease diagnosis. The AI Challenger 2018 dataset has been deeper analyzed, the degree of crops diseases are detected. Comparing with non-transfer learning, the proposed transfer learning method achieved better results, which can significantly improve accuracy results by 5.1%~1.87% with reducing half of the running time.

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The role of model checking in software engineering

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Frontiers of computer science 2018年第4期12卷 642-668页

作者： Anil Kumar KARNA Yuting CHEN Haibo YU Hao ZHONG Jianjun ZHAO Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China School of Software Shanghai Jiao Tong University Shanghai 200240 China Department of Advanced Information Technology Kyushu University Fukuoka 819-0395 Japan

Model checking is a formal verification technique. It takes an exhaustively strategy to check hardware circuits and network protocols against desired properties. Having been developed for more than three decades, model checking is now playing an important role in software engineering for verifying rather complicated software artifacts. This paper surveys the role of model checking in software engineering. In particular, we searched for the related liter- atures published at reputed conferences, symposiums, workshops, and journals, and took a survey of （1） various model checking techniques that can be adapted to software development and their implementations, and （2） the use of model checking at different stages of a software development life cycle. We observed that model checking is useful for soft- ware debugging, constraint solving, and malware detection, and it can help verify different types of software systems, such as object- and aspect-oriented systems, service-oriented applications, web-based applications, and GUI applications including safety- and mission-critical systems. The survey is expected to help human engineers understand the role of model checking in software engineering, and as well decide which model checking technique（s） and/or tool（s） are applicable for developing, analyzing and verifying a practical software system. For researchers, the survey also points out how model checking has been adapted to their research topics on software engineering and its challenges.

关键词： software engineering model checking state-explosion

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Privacy Computing: Concept, Computing Framework, and Future Development Trends

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engineering 2019年第6期5卷 1179-1192页

作者： Fenghua Li Hui Li Ben Niu Jinjun Chen Institute of Information Engineering Chinese Academy of SciencesBeijing 100093China School of Cyber Security University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Integrated Services Networks School of Cyber EngineeringXidian UniversityXi’an 710071China Department of Computer Science and Software Engineering Swinburne University of TechnologyHawthornVIC 3122Australia

With the rapid development of information technology and the continuous evolution of personalized ser- vices, huge amounts of data are accumulated by large internet companies in the process of serving users. Moreover, dynamic data interactions increase the intentional/unintentional persistence of private infor- mation in different information systems. However, problems such as the cask principle of preserving pri- vate information among different information systems and the dif culty of tracing the source of privacy violations are becoming increasingly serious. Therefore, existing privacy-preserving schemes cannot pro- vide systematic privacy preservation. In this paper, we examine the links of the information life-cycle, such as information collection, storage, processing, distribution, and destruction. We then propose a the- ory of privacy computing and a key technology system that includes a privacy computing framework, a formal de nition of privacy computing, four principles that should be followed in privacy computing, ffect algorithm design criteria, evaluation of the privacy-preserving effect, and a privacy computing language. Finally, we employ four application scenarios to describe the universal application of privacy computing, and discuss the prospect of future research trends. This work is expected to guide theoretical research on user privacy preservation within open environments.

关键词： Privacy computing Private information description Privacy metric Evaluation of the privacy-preserving effect Privacy computing language

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Surface Reconstruction from Normals: A Robust DGP-based Discontinuity Preservation Approach

Surface Reconstruction from Normals: A Robust DGP-based Disc...

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IEEE/CVF Conference on computer Vision and Pattern Recognition

作者： Wuyuan Xie Miaohui Wang Mingqiang Wei Jianmin Jiang Jing Qin College of Computer and Software Engineering Shenzhen University (SZU) Guangdong Key Laboratory of Intelligent Information Processing College of Information Engineering School of Computer Science and Technology Nanjing University of Aeronautics and Astronautics School of Nursing Hong Kong Polytechnic University

ISBN: (纸本)9781728132945

In 3D surface reconstruction from normals, discontinuity preservation is an important but challenging task. However, existing studies fail to address the discontinuous normal maps by enforcing the surface integrability in the continuous domain. This paper introduces a robust approach to preserve the surface discontinuity in the discrete geometry way. Firstly, we design two representative normal incompatibility features and propose an efficient discontinuity detection scheme to determine the splitting pattern for a discrete mesh. Secondly, we model the discontinuity preservation problem as a light-weight energy optimization framework by jointly considering the discontinuity detection and the overall reconstruction error. Lastly, we further shrink the feasible solution space to reduce the complexity based on the prior knowledge. Experiments show that the proposed method achieves the best performance on an extensive 3D dataset compared with the state-of-the-arts in terms of mean angular error and computational complexity.

关键词： Surface reconstruction discontinuities angular misalignment Solution space CONSERVATION optimum performance Arts complexity classes

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Machine Learning Classifiers for Asthma Disease Prediction: A Practical Illustration

Machine Learning Classifiers for Asthma Disease Prediction: ...

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International Conference on Wavelet Active Media Technology and information Processing (ICWAMTIP)

作者： WASIF AKBAR WEI-PING WU MUHAMMAD FAHEEM MUHAMMAD ASIM SALEEM NOORBAKHSH AMIRI GOLILARZ AMIN UL HAQ School of Computer Science and Engineering University of Electronic Sciences and Technology of China (UESTC) Department of Computer Science National College of Businees Administration & Economics (NCBAE) School of Information and Software Engineering University of Electronic Sciences and Technology of China (UESTC)

ISBN: (数字)9781728142425

ISBN: (纸本)9781728142432

Asthma is an inflammatory and airway-induced lung disease that causes breathlessness, wheezing and often life-threatening attacks. It is necessary for patients with asthma to predict severe exacerbation caused by uncontrolled asthma. So, there is a need for a framework that can predict the likelihood of asthma in a patient with maximum accuracy. In this paper, an effective mechanism for asthma disease prediction has been used by mining the data containing patients' previous health records. Four machine learning classification algorithms named as Naïve Bayes, J48, Random Forest and Random tree are used in these experiments to predict asthma disease at an early stage. The performance of all four algorithms is evaluated on various measures. Accuracy is measured over instances that are classified correctly and incorrectly. After experiments, results show that Naïve Bayes approaches 98% with the highest accuracy.

关键词： Diseases Lung Vegetation Medical diagnostic imaging Forestry Decision trees

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