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3rd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2014

作者： Yildiz, Olcay Taner Okutan, Ahmet Solak, Ercan Department of Computer Engineering Işik University Kumbaba Mevkii Sile Istanbul Turkey Mobipath Erenet Software Ltd Istanbul Turkey

ISBN: (纸本)9789897580185

In the software engineering world, creating and maintaining relationships between byproducts generated during the software lifecycle is crucial. A typical relation is the one that exists between an item in the requirements document and a block in the subsequent system design, i.e. class in the source code. In many software engineering projects, the requirement documentation is prepared in the language of the developers, whereas developers prefer to use the English language in the software development process. In this paper, we use the vector space model to extract traceability links between the requirements written in one language (Turkish) and the implementations of classes in another language (English). The experiments show that, by using a generic translator such as Google translate, we can obtain promising results, which can also be improved by using comment info in the source code. Copyright © 2014 SCITEPRESS.

关键词： software design

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Adaptive and Learnable Label for Face Anti-Spoofing 3

Adaptive and Learnable Label for Face Anti-Spoofing

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3rd International Conference on computer Vision and Pattern Analysis, ICCPA 2023

作者： Chen, Shijie Wang, Yifeng Han, Yuehu Department of Computer Science and Technology Chongqing University of Posts and Telecommunications ChongQing China Department of Software Engineering Chongqing University of Posts and Telecommunications ChongQing China

ISBN: (纸本)9781510667563

Face anti-spoofing(FAS) is an important task to secure face recognition systems from presentation attacks (PAs). Most of the FAS methods use scalar(0, 1) or handcrafted pixel-wise labels(binary mask) as the ground truth labels. However, these labels may are not the most adequate way to supervise PA detectors learning intrinsic and discriminative spoofing cues. In this work, we present an adaptive and learnable label for more efficient supervision of PA detectors. Then we propose a dual-branch network for FAS that utilizes the proposed supervision to detect PAs more reasonably. We evaluate our method by conducting experiments on public datasets, the proposed supervision method can not only improve the detection performance of the PA detectors, but also enhance the model’s interpretability (i.e., locating the pixel-level positions of PAs more reasonably). © 2023 SPIE.

关键词： Pixels

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computer science and communications protocols: Research relationships 3rd

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3rd International Conference on Computing and Information, ICCI 1991

作者： Probert, Robert L. Protocols/Software Engineering Research Group Department of Computer Science University of Ottawa OttawaONKIN 6N5 Canada

ISBN: (纸本)9783540540298

Many of the interesting problems in computer Science related to software engineering have yielded only to partial solutions or not at all. In the related areas of research denoted Communications software engineering and Protocols, most corresponding problems are on their way to a solution. In this presentation, we will explore some similarities and differences between these research areas by giving examples of problems which appear to be tractable in one area and not the other, and conclude with some ideas for building conceptual bridges. © Springer-Verlag Berlin Heidelberg 1991.

关键词： computer software

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Estimating spatial cues for audio coding in MDCT domain

Estimating spatial cues for audio coding in MDCT domain

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2009 IEEE International Conference on Multimedia and Expo, ICME 2009

作者： Shuixian, Chen Ruimin, Hu Shuhua, Zhang Computer School Wuhan University Wuhan China National Engineering Research Center for Multimedia Software Wuhan University Wuhan China Department of Electronic Engineering Tsinghua University Beijing China

ISBN: (纸本)9781424442911

Although widely used otherwise, MDCT is excluded in the current scheme for spatial cues representation, due to its lacking of phase information and energy conservation. But combining MDCT with MDST overcomes the difficulties. Moreover, MDST spectra can be built perfectly from neighboring MDCT spectra. The MDCT-MDST conversion, in matrix form, is approximating to a banded sparse matrix. When applied to spatial audio coding using MDCT based core coders, this method avoids separate transforming for cues representation and saves significant computation. Listening tests also show that it has same audio quality as other complex transform based methods. ©2009 IEEE.

关键词： Codes (symbols)

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CMCF-Net: An End-to-End Context Multiscale Cross-Fusion Network for Robust Copy-Move Forgery Detection

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IEEE Transactions on Multimedia 2024年 26卷 6090-6101页

作者： Xiong, Lizhi Xu, Jianhua Yang, Ching-Nung Zhang, Xinpeng Nanjing University of Information Science and Technology School of Computer Science Nanjing210044 China Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Engineering Research Center of Digital Forensics Ministry of Education Nanjing210044 China Nanjing University of Information Science and Technology Software Engineering Nanjing210044 China National Dong Hwa University Department of Computer Science and Information Engineering Hualien974301 Taiwan Fudan University School of Computer Science Shanghai200433 China

Image copy-move forgery detection (CMFD) has become a challenging problem due to increasingly powerful editing software that makes forged images increasingly realistic. Existing algorithms that directly connect multiple scales of features in the encoder part may not effectively aggregate contextual information, resulting in poor performance. In this paper, an end-to-end context multiscale cross-fusion network (CMCF-Net) is proposed to detect image copy-move forgery. The proposed network consists of a multiscale feature extraction fusion (MSF) module and a multi-information fusion decoding (MFD) module. Multiscale information is efficiently extracted and fused in the MSF module utilizing stacked-scale feature fusion, which improves the network's forgery localization ability on objects of different scales. The MFD module employs contextual information combination and weighted fusion of multiscale information to guide the network in obtaining relevant clues from correlated information at multiple different scales. Experimental results and analysis have demonstrated that the proposed CMCF-Net achieves the best localization results with higher robustness. © 1999-2012 IEEE.

关键词： Feature extraction

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An improved kangaroo transaction model using surrogate objects for distributed mobile system

An improved kangaroo transaction model using surrogate objec...

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10th ACM International Workshop on Data engineering for Wireless and Mobile Access, MobiDE'11

作者： Ravimaran, S. Maluk Mohamed, M.A. Software System Group Department of Computer Science and Engg. M.A.M. College of Engineering Anna University Tiruchirappalli India

ISBN: (纸本)9781450306560

The rapid growth in the use of wireless communication and mobile devices has created a potential for variety of mobile transaction support. The variety of mobile transaction models have already been developed for dealing with different challenging requirements in this environment. However, a transaction management in mobile computing environment faces several challenges such as scarce bandwidth, limited energy resources, asymmetry in wired and wireless connectivity, asymmetry in mobile and fixed hosts, and mobility of host and their limitations. Due to these constraints, data loss, frequent disconnection, unpredicted number of wireless and wired access and high transaction aborts have been occurred. In this paper we propose a new transaction scheme called Surrogate Object based mobile transaction model. The main focus is to support data caching at surrogate object for faster data access and database operations among mobile transactions at different mobile hosts in mobile environment. This is done by creating the surrogate object in the static network to act on behalf of each mobile device. One consequence of using the surrogate object model is that mobile devices would be transparent to the instability of wireless communication. The surrogate object can remain active, maintaining information regarding the current state and plays an active role on behalf of the device and reduces the network congestions, overcomes the asymmetry in wired and wireless access and achieve the low abort rate. The performance of the proposed model for mobile transaction is evaluated and compared in the absence of surrogate object. Results showed that a significant reduction in wireless access and abort probability can be obtained with the proposed model when measuring performance metrics. Copyright © 2011 ACM.

关键词： Mobile telecommunication systems

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A Study on the Application of Protein Language Models in the Analysis of Membrane Proteins 19th

A Study on the Application of Protein Language Models in...

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19th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2022

作者： Ghazikhani, Hamed Butler, Gregory Department of Computer Science and Software Engineering Concordia University Montreal Canada Centre for Structural and Functional Genomics Concordia University Montreal Canada

ISBN: (纸本)9783031232091

Membrane proteins make up around 30% of all proteins in a cell. These proteins are difficult to evaluate due to their hydrophobic surface and dependence on their original in vivo environment. There is a tremendous demand for computational approaches for predicting membrane proteins’ function and structure. Protein sequences, the language of life, can benefit from using natural language algorithms. In this study, we propose to use the BERT language model to represent membrane proteins. Our preliminary results, which utilized a Logistic Regression classifier, reveal that BERT can comprehend the context of membrane proteins and enable us to investigate better and distinguish these proteins. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Proteins

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Meta Pattern Concern Score: A Novel Evaluation Measure with Human Values for Multi-classifiers

Meta Pattern Concern Score: A Novel Evaluation Measure with ...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Wang, Yanyun Du, Dehui Liu, Yuanhao The University of Hong Kong Department of Computer Science Hong Kong Software Engineering Institute East China Normal University Shanghai China

ISBN: (纸本)9798350337020

While advanced classifiers have been increasingly used in real-world safety-critical applications, how to properly evaluate the black-box models given specific human values remains a concern in the community. Such human values include punishing error cases of different severity in varying degrees and making compromises in general performance to reduce specific dangerous cases. In this paper, we propose a novel evaluation measure named Meta Pattern Concern Score based on the abstract representation of probabilistic prediction and the adjustable threshold for the concession in prediction confidence, to introduce the human values into multi-classifiers. Technically, we learn from the advantages and disadvantages of two kinds of common metrics, namely the confusion matrix-based evaluation measures and the loss values, so that our measure is effective as them even under general tasks, and the cross entropy loss becomes a special case of our measure in the limit. Besides, our measure can also be used to refine the model training by dynamically adjusting the learning rate. The experiments on four kinds of models and six datasets confirm the effectiveness and efficiency of our measure. And a case study shows it can not only find the ideal model reducing 0.53% of dangerous cases by only sacrificing 0.04% of training accuracy, but also refine the learning rate to train a new model averagely outperforming the original one with a 1.62% lower value of itself and 0.36% fewer number of dangerous cases. © 2023 IEEE.

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Robust In-Vehicle Diagnostic-Based Intrusion Detection System

Robust In-Vehicle Diagnostic-Based Intrusion Detection Syste...

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2024 International Symposium on Networks, computers and Communications, ISNCC 2024

作者： Shafee, Ahmed Awaad, Tasneem A. Moro, Ahmed Adams State University Department of Engineering and Computer Science AlamosaCO United States Ain Shams University Faculty of Engineering Department of Computer and Systems Engineering Cairo Egypt Siemens Eda Cairo Egypt Siemens Digital Industries Software Integrated Electrical Systems Segment Cairo Egypt

ISBN: (纸本)9798350364910

Cybersecurity has become a significant concern for automotive manufacturers as modern cars increasingly incorporate electronic components. Electronic Control Units (ECUs) have evolved to become the central control units for critical car functions such as engines and brakes, experiencing rapid technological advancements. However, this swift progression in ECU technology has also made them prime targets for cyber attacks. This vulnerability has spurred researchers to focus on securing ECUs. Numerous studies have proposed intrusion detection systems (IDS) to protect against attacks on ECUs in vehicles. Yet, these IDSs are not impenetrable;attackers can exploit them by launching evasion attacks, which can trigger numerous false positive alarms. Such false alarms can be disruptive and potentially hazardous for drivers. Additionally, attackers can evade IDSs from detecting malicious data that can cause harm to the vehicle. Accordingly, in this paper, we propose a novel training framework to train a robust in-vehicle IDS that can encounter evasion attacks. Our methodology is based on implementing two rounds of mimic learning technique for training Random Forest (RF) based IDS. RF has been chosen to incorporate the randomness of the RF architecture to enhance the robustness of the model. Additionally, in each round of the two rounds of the mimic learning technique, an RF model with a different architecture is chosen to improve the resilience of the model against evasion attacks without affecting its accuracy. Our Experimental results have shown the effectiveness of our framework against evasion attacks. © 2024 IEEE.

关键词： Robustness (control systems)

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A Scenario Based Approach for Context Query Generation 19

A Scenario Based Approach for Context Query Generation

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2022 IEEE SmartWorld, 19th IEEE International Conference on Ubiquitous Intelligence and Computing, 2022 IEEE International Conference on Autonomous and Trusted Vehicles Conference, 22nd IEEE International Conference on Scalable Computing and Communications, 2022 IEEE International Conference on Digital Twin, 8th IEEE International Conference on Privacy Computing and 2022 IEEE International Conference on Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022

作者： Silva, Ravindi De Zaslavsky, Arkady Loke, Seng W. Jayaraman, Prem Prakash Abken, Amin Medvedev, Alexey Deakin University School of Information Technology Melbourne Australia Swinburne University of Technology Department of Computer Sceince and Software Engineering Melbourne Australia

ISBN: (纸本)9798350346558

IoT hardware and application silos have achieved a significant progress in recent years. Yet, they have been unable to realize the full IoT potential, due to the lack of middleware platforms that provide horizontal IoT context sharing and integration. Context Management Platforms (CMPs) enable interoperability between IoT silos, and they provide Context-as- a-Service. CMPs enable real-time context-awareness but often lack appropriate mechanisms to support the evaluation of their performance. This paper proposes a novel scenario-based approach for generating context queries that can be used to assess the performance of a CMP, specifically the caching performance. The proposed approach allows a user to generate realistic context queries based on simulated scenarios. The proposed model has the ability to capture the real-world scenarios and translate them into a sequence of scenes. An ontology-based approach is used for scene modelling. Once the scenes are modelled, the situations are inferred through contextual reasoning. The proposed model reveals that inclusion of context information in the scene makes it feasible to handle uncertainty of situations as expected in the real-world. Based on the situations, context queries are generated using different query templates. To support a fair evaluation of the caching mechanism of a CMP, queries with different complexities are generated from the proposed model. © 2022 IEEE.

关键词： Ontology

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