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IEEE 27th International Requirements engineering conference (REW)

作者： Kim, MinJu Dey, Sangeeta Lee, Seok-Won Ajou Univ Dept Comp Engn Suwon South Korea Ajou Univ Dept Software & Comp Engn Suwon South Korea

ISBN: (纸本)9781728151656

Advanced Persistent Threat (APT) is one of the cyber threats that continuously attack specific targets exfiltrate information or destroy the system [1]. Because the attackers use various tools and methods according to the target, it is difficult to describe APT attack in a single pattern. Therefore, APT attacks are difficult to defend against with general countermeasures. In these days, systems consist of various components and related stakeholders, which makes it difficult to consider all the security concerns. In this paper, we propose an ontology knowledge base and its design process to recommend security requirements based on APT attack cases and system domain knowledge. The proposed knowledge base is divided into three parts;APT ontology, general security knowledge ontology, and domain-specific knowledge ontology. Each ontology can help to understand the security concerns in their knowledge. While integrating three ontologies into the problem domain ontology, the appropriate security requirements can be derived with the security requirements recommendation process. The proposed knowledge base and process can help to derive the security requirements while considering both real attacks and systems.

关键词： Advanced Persistent Threat (APT) Security Requirement Ontology knowledge Base

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l-Injection: Toward Effective Collaborative Filtering Using Uninteresting Items

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IEEE TRANSACTIONS ON knowledge AND DATA engineering 2019年第1期31卷 3-16页

作者： Lee, Jongwuk Hwang, Won-Seok Parc, Juan Lee, Youngnam Kim, Sang-Wook Lee, Dongwon Sungkyunkwan Univ Dept Software Suwon Gyeonggi Do South Korea Hanyang Univ Dept Comp & Software Seoul South Korea Penn State Univ Coll Informat Sci & Technol University Pk PA 16801 USA

We develop a novel framework, named as iota-injection, to address the sparsity problem of recommender systems. By carefully injecting low values to a selected set of unrated user-item pairs in a user-item matrix, we demonstrate that top-N recommendation accuracies of various collaborative filtering (CF) techniques can be significantly and consistently improved. We first adopt the notion of pre-use preferences of users toward a vast amount of unrated items. Using this notion, we identify uninteresting items that have not been rated yet but are likely to receive low ratings from users, and selectively impute them as low values. As our proposed approach is method-agnostic, it can be easily applied to a variety of CF algorithms. Through comprehensive experiments with three real-life datasets (e.g., Movielens, Ciao, and Watcha), we demonstrate that our solution consistently and universally enhances the accuracies of existing CF algorithms (e.g., item-based CF, SVD-based CF, and SVD++) by 2.5 to 5 times on average. Furthermore, our solution improves the running time of those CF methods by 1.2 to 2.3 times when its setting produces the best accuracy.

关键词： Recommender systems collaborative filtering data sparsity uninteresting items pre-use preference post-use preference

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Synthesis of Infinite-State Systems with Random Behavior

Synthesis of Infinite-State Systems with Random Behavior

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IEEE International conference on Automated software engineering (ASE)

作者： Andreas Katis Grigory Fedyukovich Jeffrey Chen David Greve Sanjai Rayadurgam Michael W. Whalen University of Minnesota USA Florida State University USA Collins Aerospace USA

ISBN: (数字)9781450367684

ISBN: (纸本)9781728172811

Diversity in the exhibited behavior of a given system is a desirable characteristic in a variety of application contexts. Synthesis of conformant implementations often proceeds by discovering witnessing Skolem functions, which are traditionally deterministic. In this paper, we present a novel Skolem extraction algorithm to enable synthesis of witnesses with random behavior and demonstrate its applicability in the context of reactive systems. The synthesized solutions are guaranteed by design to meet the given specification, while exhibiting a high degree of diversity in their responses to external stimuli. Case studies demonstrate how our proposed framework unveils a novel application of synthesis in model-based fuzz testing to generate fuzzers of competitive performance to general-purpose alternatives, as well as the practical utility of synthesized controllers in robot motion planning problems.

关键词： Robot motion knowledge engineering Fuzzing Planning Standards Testing software engineering

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Rethinking on the teaching method of programming course in applied universities under higher education 20

Rethinking on the teaching method of programming course in a...

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2nd World Symposium on software engineering, WSSE 2020

作者： Zhou, Yanling Gu, Man Zhang, Chi College of Artificial Intelligence and Big Data Hefei University Hefei city Anhui province China College of Advanced Manufacturing and Engineering Hefei University Hefei city Anhui province China

ISBN: (纸本)9781450387873

The teaching method is the unity of the teaching method and the learning method. In the applied college education, more emphasis is placed on the self-learning method of the students. The most direct way to respect students is to change the teaching methods of teachers so that students learn to learn and work in the process of receiving knowledge, so that they can be confident, act and be able to learn actively. Establish a student-centered learning model, with the cultivation of professional abilities as an important goal, change the role of teachers, return the stage of learning to students, let students do and study, and truly allow students to cultivate all aspects of comprehensive capabilities in the process. This article is based on the computer professional programming course "programming language I"as an example to rethink the teaching method. The difference between the new teaching method and the traditional teaching method is elaborated in detail from two aspects: classroom theory teaching and experimental practice teaching and the feasibility of the new teaching method are discussed from multiple angles. The new teaching method can fully arouse the enthusiasm of teachers 'teaching and students' learning, and realize deep learning of knowledge through experimental courses. At the same time, the new teaching methods have played a positive role in fostering students' learning initiative, teamwork spirit, language expression ability, problem analysis and problem solving skills. Under the new teaching method, the student group cultivated can better meet the current society's demand for talents. © 2020 ACM.

关键词： Students

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Tracing Diagnosis Paths on Histopathology WSIs for Diagnostically Relevant Case Recommendation 23rd

Tracing Diagnosis Paths on Histopathology WSIs for Diagnosti...

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23rd International conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020

作者： Zheng, Yushan Jiang, Zhiguo Zhang, Haopeng Xie, Fengying Shi, Jun Beijing Advanced Innovation Center for Biomedical Engineering Beihang University Beijing100191 China Image Processing Center SA Beihang University Beijing102206 China School of Software Hefei University of Technology Hefei230601 China

ISBN: (纸本)9783030597214

Telepathology has enabled the remote cancer diagnosis based on digital pathological whole slide images (WSIs). During the diagnosis, the behavior information of the pathologist can be recorded by the platform and then archived with the digital cases. The diagnosis path of the pathologist on a WSI is valuable information since the image content within the path is highly correlated with the diagnosis report of the pathologist. In this paper, we proposed a novel diagnosis path network (DPathNet). DPathNet utilizes the diagnosis paths of pathologists on the WSIs as the supervision to learn the pathology knowledge from the image content. based on the DPathNet, we develop a novel approach for computer-aided cancer diagnosis named session-based histopathology image recommendation (SHIR). SHIR summaries the information of a WSI while the pathologist browsing the WSI and actively recommends the relevant cases within similar image content from the database. The proposed approaches are evaluated on a gastric dataset containing 983 cases within 5 categories of gastric lesions. The experimental results have demonstrated the effectiveness of the DPathNet to the SHIR task and the supervision of the diagnosis path is sufficient to train the DPathNet. The MRR and MAP of the proposed SHIR framework are respectively 0.741 and 0.777 on the gastric dataset. © 2020, Springer Nature Switzerland AG.

关键词： Pathology

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When APIs are Intentionally Bypassed: An Exploratory Study of API Workarounds

When APIs are Intentionally Bypassed: An Exploratory Study o...

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International conference on software engineering (ICSE)

作者： Maxime Lamothe Weiyi Shang Concordia University Montreal Canada

ISBN: (数字)9781450371216

ISBN: (纸本)9781728165196

Application programming interfaces (APIs) have become ubiquitous in software development. However, external APIs are not guaranteed to contain every desirable feature, nor are they immune to software defects. Therefore, API users will sometimes be faced with situations where a current API does not satisfy all of their requirements, but migrating to another API is costly. In these cases, due to the lack of communication channels between API developers and users, API users may intentionally bypass an existing API after inquiring into workarounds for their API problems with online communities. This mechanism takes the API developer out of the conversation, potentially leaving API defects unreported and desirable API features undiscovered. In this paper we explore API workaround inquiries from API users on Stack Overflow. We uncover general reasons why API users inquire about API workarounds, and general solutions to API workaround requests. Furthermore, using workaround implementations in Stack Overflow answers, we develop three API workaround implementation patterns. We identify instances of these patterns in real-life open source projects and determine their value for API developers from their responses to feature requests based on the identified API workarounds.

关键词： knowledge engineering Communication channels Feature extraction software software engineering

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Design and Implementation of On-orbit Valuable Image Extraction for the TianZhi-1 Satellite 14

Design and Implementation of On-orbit Valuable Image Extract...

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14th IEEE International conference on Intelligent Systems and knowledge engineering, ISKE 2019

作者： Lin, Yijun Hu, JunXing Li, Ling Wu, Fengge Zhao, Junsuo Institute of Software Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China Institute of Software Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781728123486

Recently, software-defined satellite has become a research hotspot in the aerospace. based on an advanced computing platform with open system architecture, researchers can upload software for specific tasks even the satellite has been launched into space. This paper we have designed an on-orbit application for China's first software-defined satellite TianZhi-1, which use Android smartphone as a system platform. Two main tasks are focused on our work, one is to reduce data redundancy and the other is to compress the size of the software. First, a light-weight and extensible framework is designed to support different image processing algorithms. Following this, we propose a three-step approach for on-orbit valuable image extraction, include image denoising, stitching, and salient object extraction. Experiments on the real satellite achieve outstanding results. © 2019 IEEE.

关键词： Satellites

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A Novel MAC Scheme for Reliable Safety Messages Dissemination in Vehicular Networks 18th

A Novel MAC Scheme for Reliable Safety Messages Disseminatio...

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18th International conference on Hybrid Intelligent Systems, HIS 2018

作者： Alam, Muhammad Rufino, João Wong, Kok-Hoe Ferreira, Joaquim Department of Computer Science and Software Engineering Xi’an Jiaotong-Liverpool University Suzhou China Instituto de Telecomunicações Universidade de Aveiro Aveiro Portugal ESTGA Universidade de Aveiro Águeda Portugal

ISBN: (纸本)9783030143466

Safety messages dissemination in vehicular networks requires real-time and deterministic medium access. The existing standard, IEEE 802.11p, for vehicular networks is based on Carrier Sense Multiple Access (CSMA) which is not a deterministic mechanism as collision may occur to access the medium that can cause unbounded delays. Therefore, in this paper, we presented a new deterministic Medium Access Control (MAC) scheme for vehicular communications that ensure reliable safety messages dissemination in vehicular networks. In the proposed scheme, each Road Side Unit (RSU) and On-Board Units (OBU) is assigned a time slot in a fix medium access time (elementary cycle). Each RSU controls time access using the knowledge of the connected vehicles. Two realistic scenarios, Vehicle-to-Infrastructure (V2I)/Infrastructure-to-Vehicle (I2V) and Vehicle-to-Vehicle (V2V), are presented to test the proposed scheme. The proposed scheme is simulated and the presented results validate its effectiveness in terms of higher safety packets success rate and low communications delays. © 2020, Springer Nature Switzerland AG.

关键词： Medium access control

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Birth Mode Prediction Using Bagging Ensemble Classifier: A Case Study of Bangladesh

Birth Mode Prediction Using Bagging Ensemble Classifier: A C...

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Information and Communication Technology for Sustainable Development (ICICT4SD), International conference on

作者： Md. Sakib Bin Alam Muhammed J. A. Patwary Maruf Hassan Asian University for Women Bangladesh Big Data Institute College of Computer Science and Software Engineering Shenzhen University China International Islamic University Chittagong Bangladesh

ISBN: (数字)9781665414609

ISBN: (纸本)9781665447522

Maternal mortality and childbirth complications are major delivery issues in most developing countries, especially in rural areas. The proper identification of risks associated with the delivery of an expecting woman at an earlier stage can substantially reduce the mortality rate. A few studies have been conducted on using Machine Learning (ML) techniques for predicting birth mode i.e. caesarean section or normal delivery. The most commonly used methods are Decision Tree (DT), K-Nearest Neighbour (KNN), Naive Bayes (NB) and Support Vector Machine (SVM). In this study we have implemented Bagging Ensemble Classifiers based on these traditional machine learning algorithms, which is a novel approach in the area of birth mode prediction. This paper examines the performance of four ML algorithms, with bagging ensemble classifiers (DT-Bagging, KNN-Bagging, NB-Bagging, SVM-Bagging). The result shows that bagging ensemble models outperformed the traditional models in this domain. Besides, we have identified the association between important factors and caesarean section. This study may later be used to create a decision support system by extracting knowledge from the hidden patterns in data to reduce the rate of caesarean delivery in Bangladesh.

关键词： Support vector machines Machine learning algorithms Prediction algorithms Proposals Medical diagnosis Sustainable development Bagging

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Design and Realization of General Test and Diagnostic software Platform based on AI-ESTATE 6th

Design and Realization of General Test and Diagnostic Softwa...

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6th International conference on Communications, Signal Processing, and Systems (ICCSPS)

作者： Jiang, Huixia Wang, Cheng Li, Xu Wei, Baohua Ordnance Engn Coll Missile Engn Dept Shijiazhuang 050003 Hebei Peoples R China

ISBN: (纸本)9789811065712;9789811065705

The increasing weapon equipments bring forth burdensome test and diagnosis tasks. Some problems that have been emerged in the developing maintenance and support system of multiform weapon equipments have been analyzed, such as the poor generality, the difficulty of sharing knowledge and interchanging information. A method of constructing universal test and diagnosis platform based on the AI-ESTATE standard is proposed in the paper. Aiming this, AI-ESTATE standard provides basic method to facilitate information exchange by defining a set of knowledge and data specification formats using information model, by defining formal services to form interface standards among diagnostic reasoner and other test system components. The system architecture of general test and diagnosis software platform applies the COM component technology to realize the separation of between test and diagnosis based on the principle of generalize and standardize. Then the function, constitution and realization of its general diagnostic software based on AI-ESTATET are researched in this paper. The realization of diagnosis model management services and reasoner manipulation services is described. This platform can test and diagnosis multiform weapon equipments, such as missile equipment, radar equipment and multiform artilleries. Especially, it solves the problem of sharing information and portability of software by information model and service.

关键词： AI-ESTATE General test Diagnosis platform Reasoner component

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