scholarly journals The Empirical Evaluation of Semantic Alignment Quality Metrics for Vehicle Domain Component Frameworks Interface Ontologies

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Sangita De ◽  
Premek Brada ◽  
Juergen Mottok ◽  
Michael Niklas
Keyword(s):  
Empirical Evaluation ◽  
Autonomous Driving ◽  
Semantic Interoperability ◽  
Software Component ◽  
Automotive Application ◽  
Software Components ◽  
Application Software ◽  
Vehicle Communication ◽  
Semantic Alignment ◽  
Component Frameworks

Semantic alignment of application software components’ ontologies represents a great interest in vehicle application domains that manipulate heterogeneous overlapping knowledge application frameworks. In the past few years, with the growth in the novel vehicle service requirements such as autonomous driving, V2X (Vehicle-to-Vehicle communication) and many others, automotive application software component models are becoming increasingly collaborative with other qualified cross-enterprise industrial partners to accomplish these complex service requirements. The most daunting impediment to this cross-enterprise collaboration is semantic interoperability. For efficient services collaboration through cross-enterprise semantic interoperability between the vehicle application frameworks’ software components, aligning the interface ontologies of these components by identifying the depth of semantic alignment relationships between the concepts of the interface ontologies is the major focus of this paper. In contrast to several existing ontology structural metrics, this work defines, evaluates and validates ontology metrics to measure the depth of semantic alignment between the vehicle domain software component frameworks’ interface ontological models. To emphasize the substantial role of semantic alignment of software component frameworks’ interface ontologies in semantic interoperability, a typical vehicle domain case study involving vehicle applications is considered for demonstration.

Framework for Semantic Search Enabled Software Component Repository (SSESCR)

2018 ◽  
Author(s):  
Vishnu Sharma ◽  
Vijay Singh Rathore ◽  
Chandikaditya Kumawat
Keyword(s):  
Software Quality ◽  
Software Reuse ◽  
Development Time ◽  
Software Component ◽  
Semantic Search ◽  
Easy Access ◽  
Software Components ◽  
Efficient Search ◽  
Systematic Reuse ◽  
New System

Software reuse can improve software quality with the reducing cost and development time. Systematic reuse plan enhances cohesion and reduces coupling for better testability and maintainability. Software reuse approach can be adopted at the highest extent if relevant software components can be easily searched, adapted and integrated into new system. Large software industries hold their own well managed component libraries containing well tested software component with the project category based classification .Access to these repositories are very limited. Software reuse is facing so many problems and still not so popular. This is due to issues of general access, efficient search and adoption of software component. This paper propose a framework which resolves all of the above issues with providing easy access to components, efficient incremental semantics based search, repository management, versioning of components.

NEURO-FUZZY BASED SEARCH ROBOT FOR SOFTWARE COMPONENTS

1999 ◽  
Vol 08 (02) ◽  
pp. 119-135
Author(s):  
YAU-HWANG KUO ◽  
JANG-PONG HSU ◽  
MONG-FONG HORNG
Keyword(s):  
Retrieval System ◽  
Software Component ◽  
Software Components ◽  
Personalized Search ◽  
Component Retrieval ◽  
Reusable Software ◽  
Major Mechanism ◽  
Fuzzy Models ◽  
Neuro Fuzzy

A personalized search robot is developed as one major mechanism of a personalized software component retrieval system. This search robot automatically finds out the Web servers providing reusable software components, extracts needed software components from servers, classifies the extracted components, and finally establishes their indexing information for local component retrieval in the future. For adaptively tuning the performance of software component extraction and classification, an adaptive thesaurus and an adaptive classifier, realized by neuro-fuzzy models, are embedded in this search robot, and their learning algorithms are also developed. A prototype of the personalized software component retrieval system including the search robot has been implemented to confirm its validity and evaluate the performance. Furthermore, the framework of proposed personalized search robot could be extended to the search and classification of other kinds of Internet documents.

scholarly journals Fuzzy Logic Testing Approach for Measuring Software Completeness

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 604
Author(s):  
Nayyar Iqbal ◽  
Jun Sang
Keyword(s):  
Fuzzy Logic ◽  
Cost Effective ◽  
Symmetric Design ◽  
Software Component ◽  
Fuzzy Membership ◽  
System Response ◽  
Software Components ◽  
Logic Testing ◽  
Testing Approach ◽  
Membership Value

Due to advancements in science and technology, software is constantly evolving. To adapt to newly demanded requirements in a piece of software, software components are modified or developed. Measuring software completeness has been a challenging task for software companies. The uncertain and imprecise intrinsic relationships within software components have been unaddressed by researchers during the validation process. In this study, we introduced a new fuzzy logic testing approach for measuring the completeness of software. We measured the fuzzy membership value for each software component by a fuzzy logic testing approach called the fuzzy test. For each software component, the system response was tested by identifying which software components in the system required changes. Based on the measured fuzzy membership values for each software component, software completeness was calculated. The introduced approach scales the software completeness between zero and one. A software component with a complete membership value indicates that the software component does not require any modification. A non-membership value specifies that the existing software component is no longer required in the system or that a new software component is required to replace it. The partial membership value specifies that the software component requires few new functionalities according to the new software requirements. Software with a partial membership value requires partial restructuring and design recovery of its components. Symmetric design of software components reduces the complexity in the restructuring of software during modification. In the study, we showed that by using the introduced approach, high-quality software that is faultless, reliable, easily maintained, efficient, and cost-effective can be developed.

scholarly journals Analysis of Machine Learning Approach for the modemodel in SWC Mapping in Automotive Systems

2021 ◽  
Vol 7 (1) ◽  
pp. 16-19
Author(s):  
Owes Khan ◽  
Geri Shahini ◽  
Wolfram Hardt
Keyword(s):  
Machine Learning ◽  
Autonomous Driving ◽  
Learning Approach ◽  
Software Components ◽  
Control Mechanisms ◽  
Learning Approaches ◽  
Software Applications ◽  
Automotive Systems ◽  
Machine Learning Approach ◽  
Development Processes

Automotive technologies are ever-increasinglybecoming digital. Highly autonomous driving togetherwith digital E/E control mechanisms include thousandsof software applications which are called as software components. Together with the industry requirements, and rigorous software development processes, mappingof components as a software pool becomes very difficult.This article analyses and discusses the integration possiblilities of machine learning approaches to our previously introduced concept of mapping of software components through a common software pool.

scholarly journals On the Need to Create Intelligent Control Systems for Systems with a Critical Mission

2021 ◽  
pp. 60-66
Author(s):  
В. Б. Бетелин ◽  
Д. А. Моргун
Keyword(s):  
Control Systems ◽  
Intelligent Control ◽  
Software Components ◽  
Application Software ◽  
Critical Systems ◽  
Power Outages ◽  
Self Monitoring ◽  
Intelligent Control Systems ◽  
Digital Control Systems ◽  
Mission Critical

Происходящие в мире события свидетельствуют о возрастании угрозы перехвата управления системами с критической миссией (СКМ). Приводятся конкретные примеры инцидентов, один из них — массовые отключения электроэнергии в Венесуэле. Обосновывается необходимость разработки технологии создания цифровых систем управления, обеспечивающей парирование угрозы перехвата управления и нештатного функционирования систем с критической миссией. В основе этой технологии — концепция цифровых двойников объектов управления цифровых систем управления этими объектами, включая все аппаратные и программные компоненты, а также интеллектуальные средства самоконтроля и самокоррекции функционирования элементной базы, вычислительной и коммуникационной техники, базового и прикладного программного обеспечения. There is an ongoing threat of control interception in mission-critical systems (MCS). Specific examples of such incidents are presented, one of them is the massive power outages in Venezuela. We specify the reasons for creating an approach to developing digital control systems for MCS resistant to control interception and abnormal functioning. This technology is based on the digital twin concept. A twin represents all the hardware and software components, as includes smart tools for the hardware, core and application software self-monitoring and self-correction.  

Blockchain-Autonomous Driving Systems

2021 ◽  
pp. 87-114
Author(s):  
P. Lalitha Surya Kumari
Keyword(s):  
Autonomous Vehicles ◽  
Intelligent Transportation System ◽  
Autonomous Driving ◽  
Intelligent Vehicles ◽  
Intelligent Vehicle ◽  
Privacy And Security ◽  
Trust Network ◽  
Vehicle Communication ◽  
Blockchain Technology ◽  
Vehicle Data

Blockchain is the upcoming new information technology that could have quite a lot of significant future applications. In this chapter, the communication network for the reliable environment of intelligent vehicle systems is considered along with how the blockchain technology generates trust network among intelligent vehicles. It also discusses different factors that are effecting or motivating automotive industry, data-driven intelligent transportation system (D2ITS), structure of VANET, framework of intelligent vehicle data sharing based on blockchain used for intelligent vehicle communication and decentralized autonomous vehicles (DAV) network. It also talks about the different ways the autonomous vehicles use blockchain. Block-VN distributed architecture is discussed in detail. The different challenges of research and privacy and security of vehicular network are discussed.

scholarly journals Hybrid Models of Studied Objects Using Remote Laboratories for Teaching Design of Control Systems

2016 ◽  
Vol 12 (09) ◽  
pp. 7 ◽  
Author(s):  
Mykhailo Poliakov ◽  
Tetiana Larionova ◽  
Galyna Tabunshchyk ◽  
Anzhelika Parkhomenko ◽  
Karsten Henke
Keyword(s):  
Control Systems ◽  
Set Theory ◽  
Hybrid Models ◽  
Software Component ◽  
Integrated System ◽  
Software Components ◽  
Traffic Light ◽  
Remote Laboratories ◽  
Teaching Design ◽  
State Models

<em>This paper present models of studied objects with the help of remote laboratories containing physical and software components. These hybrid models were described as an integrated system with a hierarchy of controls. The functional structure of hybrid models was formalized using set theory. There are described examples of hybrid models, which software component contains subsystems of virtual models, models of the “hidden” part, the technical state models and environment models of the studied object. There are considered teaching scenarios of hybrid models application. It was given an example of design teaching scenario of diagnostic subsystem of a traffic light.</em>

scholarly journals Debugging Autonomous Driving Systems Using Serialized Software Components

2016 ◽  
Vol 49 (15) ◽  
pp. 44-49 ◽  
Author(s):  
Pascal Minnerup ◽  
David Lenz ◽  
Tobias Kessler ◽  
Alois Knoll
Keyword(s):  
Autonomous Driving ◽  
Software Components

scholarly journals Fractal Antenna Design for Overtaking on Highways in 5G Vehicular Communication Ad-hoc Networks Environment

2019 ◽  
Vol 9 (1S6) ◽  
pp. 157-160 ◽  
Keyword(s):  
Road Safety ◽  
Ad Hoc ◽  
Autonomous Driving ◽  
Antenna Design ◽  
Fractal Antenna ◽  
Road Accidents ◽  
Vehicular Communication ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Hoc Networks

Vehicular Communication is designed for enhancing road safety and support autonomous driving becoming very popular in the present scenario. The proposed system aims to design a suitable and secured system for overtaking on highways. The main problem faced while driving vehicle on highways is to overtake a larger vehicle on narrow roads, where the driver visibility is limited and it is very risky to overtake from right side as there is a high probability of colliding with the vehicles coming in opposite direction. The proposed system solves the problem by establishing ad-hoc connection in 5G environment with the vehicle to be overtaken. The system consists of a communication unit designed with a controller along with various options which are used to decide when the vehicle can safely overtake. In this way the driver can safely overtake the larger vehicles without any risk of road accidents. The proposed system uses fractal geometry to design the antenna which is used for the vehicle to vehicle communication at 5G frequencies up to 20GHz

Theory of Ontology and Meta-Modeling and the Standard

2010 ◽  
pp. 58-101
Author(s):  
Keqing He ◽  
Chong Wang ◽  
Yangfan He ◽  
Yutao Ma ◽  
Peng Liang
Keyword(s):  
Information Systems ◽  
Semantic Interoperability ◽  
Software Component ◽  
Information Resources ◽  
International Standard ◽  
Modeling Methodology ◽  
Effective Exchange ◽  
Meta Modeling ◽  
Semantic Ontology ◽  
Semantic Interoperation

With the continuous development and rapid progress of information techniques, complexity and scale of information systems are expanding increasingly, which consequently brings our research focus on how to ensure the effective exchange of information and efficient interconnection between each part of a information system. However, different modeling paradigm, languages and platforms cause grammatical and semantic diversity to the existing information resources, a challenging approach to information resources management is needed to promote deep sharing of those information resources and implement rapid integration based on them. To realize semantic interoperation between diverse information systems and resources, the authors combine meta-modeling methodology in software engineering and ontology from philosophy to exploit a novel methodology named Theory of Ontology & Meta-modeling. Based on the methodology, the authors contributed to an international standard project ISO/IEC 19763- 3: Metamodel for ontology registration since 2003, which was officially published as an international standard in Dec, 2007. Furthermore, we developed a Management and Service platform for Semantic Interoperability on Manufacturing Informationalization Software Component Repository (SCR). It can support ontology-based software component attributes classification, registration and management using ISO/IEC 19763-3 standard, and implement semantic (ontology) based software component query and retrieval. Based on above mentioned techniques, this platform can facilitate the management of semantic interoperability, which provides the reliable infrastructure for the reusing and sharing of heterogeneous software component resources.

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