An ontological framework for architecture model integration

With the development of technology today, it is very important for every company to plan and develop a system to support business processes in each company. Achieving the goals of an enterprise faces challenges and changes that require strategies for effective measures and efficient use of resources. One important and increasingly widely used strategy is the use and improvement of information system support for the enterprise. This plan can utilize enterprise architecture planning methodology that produces data architecture, application architecture, technology architecture, and the direction of its implementation plan for the enterprise.CV Biensi Fesyenindo is engaged in retail garment, with branches throughout Indonesia, covering the areas of Kalimantan, Sulawesai, NTB, NTT, Bali, Java and Sumatra. In their daily activities, they carry out production to distribution processes to meet market and employee needs.The enterprise architecture model used in this study is by using Enterprise Architecture Planning (EAP). EAP is a process of defining enterprise architecture that focuses on data architecture, applications and technology in supporting business and plans to implement the architecture, where the EAP method has several stages, starting from planning in planning, business modeling , Current System and Technology (Current System & Technology), Data Architecture (Data Architecture), Application Architecture (Applications Architecture), Technology Architecture (Technology Architecture), Implementation Plans (Implementation Plans).The results of this study are recommendations for information systems for Fesyenindo Biensi CV in the form of enterprise architecture planing blue print planning that is successful in defining 5 main business processes, which consist of application architecture data architecture and for technological architecture to produce technology architecture proposals divided into 5 chapters 110 pages .

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Smart manufacturing. Reference architecture model industry 4.0 (RAMI4.0)

10.3403/30350369u ◽

2017 ◽

Keyword(s):

Industry 4.0 ◽

Smart Manufacturing ◽

Reference Architecture ◽

Architecture Model

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Active assisted living (AAL) reference architecture and architecture model

10.3403/30391535u ◽

2020 ◽

Keyword(s):

Assisted Living ◽

Reference Architecture ◽

Architecture Model

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Active assisted living (AAL) reference architecture and architecture model

10.3403/30391535 ◽

2020 ◽

Keyword(s):

Assisted Living ◽

Reference Architecture ◽

Architecture Model

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Web Services Architecture Model to Support Distributed Systems

Journal of Southwest Jiaotong University ◽

10.35741/issn.0258-2724.54.6.4 ◽

2019 ◽

Vol 54 (6) ◽

Author(s):

Sawsan Ali Hamid ◽

Rana Alauldeen Abdalrahman ◽

Inam Abdullah Lafta ◽

Israa Al Barazanchi

Keyword(s):

Web Services ◽

Web Service ◽

Distributed System ◽

Modern Technology ◽

Service Description ◽

Architecture Model ◽

Software Applications ◽

Evolving Model ◽

The Web

Recently, web services have presented a new and evolving model for constructing the distributed system. The meteoric growth of the Web over the last few years proves the efficacy of using simple protocols over the Internet as the basis for a large number of web services and applications. Web service is a modern technology of web, which can be defined as software applications with a programmatic interface based on Internet protocol. Web services became common in the applications of the web by the help of Universal, Description, Discovery and Integration; Web Service Description Language and Simple Object Access Protocol. The architecture of web services refers to a collection of conceptual components in which common sets of standard can be defined among interoperating components. Nevertheless, the existing Web service's architecture is not impervious to some challenges, such as security problems, and the quality of services. Against this backdrop, the present study will provide an overview of these issues. Therefore, it aims to propose web services architecture model to support distributed system in terms of application and issues.

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Model Integration for HMM- and DNN-Based Speech Synthesis Using Product-of-Experts Framework

10.21437/interspeech.2016-1006 ◽

2016 ◽

Cited By ~ 3

Author(s):

Kentaro Tachibana ◽

Tomoki Toda ◽

Yoshinori Shiga ◽

Hisashi Kawai

Keyword(s):

Speech Synthesis ◽

Model Integration

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Persons as Biological Processes

10.1093/oso/9780198779636.003.0018 ◽

2018 ◽

Author(s):

Anne Sophie Meincke

Keyword(s):

Personal Identity ◽

Higher Order ◽

Biological Processes ◽

Philosophical Debate ◽

Single Moment ◽

Ontological Framework ◽

Biological Nature

Human persons exist longer than a single moment in time; they persist through time. However, so far it has not been possible to make this natural and widespread assumption metaphysically comprehensible. The philosophical debate on personal identity is rather stuck in a dilemma: reductionist theories explain personal identity away, while non-reductionist theories fail to give any informative account at all. This chapter argues that this dilemma emerges from an underlying commitment, shared by both sides in the debate, to an ontology that gives priority to static unchanging things. The claim defended here is that the dilemma of personal identity can be overcome if we acknowledge the biological nature of human persons and switch to a process-ontological framework that takes process and change to be ontologically primary. Human persons are biological higher-order processes rather than things, and their identity conditions can be scientifically investigated.

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Machine learning based accident prediction in secure IoT enable transportation system

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189743 ◽

2021 ◽

pp. 1-13 ◽

Cited By ~ 1

Author(s):

Bhabendu Kumar Mohanta ◽

Debasish Jena ◽

Niva Mohapatra ◽

Somula Ramasubbareddy ◽

Bharat S. Rawal

Keyword(s):

Machine Learning ◽

Smart City ◽

Information Exchange ◽

Secure Communication ◽

Intelligent Transportation System ◽

Transportation System ◽

Information And Communications Technology ◽

Classification Models ◽

Architecture Model ◽

Accident Severity

Smart city has come a long way since the development of emerging technology like Information and communications technology (ICT), Internet of Things (IoT), Machine Learning (ML), Block chain and Artificial Intelligence. The Intelligent Transportation System (ITS) is an important application in a rapidly growing smart city. Prediction of the automotive accident severity plays a very crucial role in the smart transportation system. The main motive behind this research is to determine the specific features which could affect vehicle accident severity. In this paper, some of the classification models, specifically Logistic Regression, Artificial Neural network, Decision Tree, K-Nearest Neighbors, and Random Forest have been implemented for predicting the accident severity. All the models have been verified, and the experimental results prove that these classification models have attained considerable accuracy. The paper also explained a secure communication architecture model for secure information exchange among all the components associated with the ITS. Finally paper implemented web base Message alert system which will be used for alert the users through smart IoT devices.

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