Fundamental Patterns for Enterprise Integration Services

2012 ◽  
pp. 35-51
Author(s):  
Stephan Aier ◽  
Robert Winter
Keyword(s):  
Computer Science ◽  
Systems Engineering ◽  
Middle Layer ◽  
Government Agency ◽  
Enterprise Integration ◽  
Diverse Range ◽  
Reference Models ◽  
Reference Modeling ◽  
Integration Project ◽  
A Company

Enterprise integration projects link or merge artifacts across many functions, processes and management levels in a company or government agency. In the absence of methods generic enough to cover the diverse range of enterprise integration projects and adaptable enough to support specific projects effectively, integration services promise to constitute a suitable “middle layer”. Since patterns and reference models could serve as such a middle layer, existing work in the fields of patterns in computer science and reference modeling in information systems engineering is analyzed. In a bottom-up manner, alignment, derivation, binding and merge are proposed as fundamental patterns for enterprise integration. Integration services are identified as integration tasks associated with these base patterns. Such integration services are clustered into enterprise integration patterns that serve as fragments for composing a context and project type specific enterprise integration project. Two case studies illustrate the concept and gain initial validation insights.

Fundamental Patterns for Enterprise Integration Services

2010 ◽  
pp. 94-109
Author(s):  
Stephan Aier ◽  
Robert Winter
Keyword(s):  
Computer Science ◽  
Systems Engineering ◽  
Middle Layer ◽  
Government Agency ◽  
Enterprise Integration ◽  
Diverse Range ◽  
Reference Models ◽  
Reference Modeling ◽  
Integration Project ◽  
A Company

Enterprise integration projects link or merge artifacts across many functions, processes and management levels in a company or government agency. In the absence of methods generic enough to cover the diverse range of enterprise integration projects and adaptable enough to support specific projects effectively, integration services promise to constitute a suitable “middle layer”. Since patterns and reference models could serve as such a middle layer, existing work in the fields of patterns in computer science and reference modeling in information systems engineering is analyzed. In a bottom-up manner, alignment, derivation, binding and merge are proposed as fundamental patterns for enterprise integration. Integration services are identified as integration tasks associated with these base patterns. Such integration services are clustered into enterprise integration patterns that serve as fragments for composing a context and project type specific enterprise integration project. Two case studies illustrate the concept and gain initial validation insights.

Fundamental Patterns for Enterprise Integration Services

2010 ◽  
Vol 1 (1) ◽  
pp. 33-49 ◽  
Author(s):  
Stephan Aier ◽  
Robert Winter
Keyword(s):  
Systems Engineering ◽  
Middle Layer ◽  
Government Agency ◽  
Enterprise Integration ◽  
Diverse Range ◽  
Reference Models ◽  
Initial Validation ◽  
Reference Modeling ◽  
Integration Project ◽  
A Company

Enterprise integration projects link or merge artifacts across many functions, processes and management levels in a company or government agency. In the absence of methods generic enough to cover the diverse range of enterprise integration projects and adaptable enough to support specific projects effectively, integration services promise to constitute a suitable “middle layer”. Since patterns and reference models could serve as such a middle layer, existing work in the fields of patterns in computer science and reference modeling in information systems engineering is analyzed. In a bottom-up manner, alignment, derivation, binding and merge are proposed as fundamental patterns for enterprise integration. Integration services are identified as integration tasks associated with these base patterns. Such integration services are clustered into enterprise integration patterns that serve as fragments for composing a context and project type specific enterprise integration project. Two case studies illustrate the concept and gain initial validation insights.

Design Principles for Reference Modeling

2011 ◽  
pp. 47-76 ◽  
Author(s):  
Jan vom Brocke
Keyword(s):  
Information Systems ◽  
Systems Engineering ◽  
Reference Model ◽  
Design Principles ◽  
Reference Models ◽  
Information Models ◽  
Reference Modeling ◽  
Design And Application

With the design of reference models, an increase in the efficiency of information systems engineering is intended. This is expected to be achieved by reusing information models. Current research focuses mainly on configuration as one principle for reusing artefacts. According to this principle, all variants of a model are incorporated in the reference model facilitating adaptations by choices. In practice however, situations arise whereby various requirements to a model are unforeseen: Either results are inappropriate or costs of design are exploding. This paper introduces additional design principles that aim towards giving more flexibility to both the design and application of reference models.

scholarly journals Efektivitas Pelaksanaan Tugas Dan Fungsi Bagian Humas Dan Protokol Dalam Menjaga Citra Kepala Daerah Pada Humas Dan Protokol Sekretariat Daerah Kabupaten Jembrana

2020 ◽  
Vol 3 (1) ◽  
pp. 1-9
Author(s):  
I Gede Arya Suta Satya Pramana ◽  
Ni Wayan Sutiani
Keyword(s):  
Public Relations ◽  
Secondary Data ◽  
Analysis Data ◽  
Government Agency ◽  
The Public ◽  
Analysis Technique ◽  
And Function ◽  
Sample Method ◽  
A Company ◽  
Collection Methods

Every government agency, company, or other institution must have a PublicRelations and Protocol. Public Relations and Protocols have the duty and function totake responsibility and maintain a positive image that already exists in an agency orcompany and to better re-image where the agency or company is located, has the roleof delivering a policy or all information carried out by an agency or a company. Fromthe above background, the purpose of this study is to find out how the effectivenessof the implementation of the duties and functions of the Public Relations and ProtocolSection in Maintaining the Image of the Regional Head (Study in the Public Relationsand Protocol Section of the Jembrana Regency Regional Secretariat.The data in thisstudy are qualitative secondary data. The population was taken from employees in thePublic Relations and Protocol Section of the District Secretariat of Jembrana totaling35, the sample method used was the census method. The data analysis technique usedis descriptive qualitative analysis. Data collection methods used in this research areinterview and documentation study methods.The results of the study showed that theeffectiveness of the duties and functions of the Public Relations and Protocol sectionin maintaining the image of regional heads in the Regional Secretariat of JembranaDistrict had been going well, as seen from the indicators: Reception / hearing(domestic and foreign) was carried out in accordance with the specified standards.Guest visits (domestic and foreign) are carried out in accordance with applicableguidelines. Travel to the region / Overseas is carried out in accordance with specifiedguidelines. Meeting / session arrangements are well implemented. The holding of areception / banquet has been carried out well. The implementation of the ceremoniesis in accordance with the established rules. With the implementation of the duties andfunctions of the Public Relations and Protocol section, the image of the regional headcan be maintained properly, as seen from the indicators: Personality of the regionalhead increases with the implementation of public relations and protocol activitiesproperly. Reputation of Jembrana Regency has improved the implementation ofpublic relations and procolo activities. The value of Jembrana Regency increases withthe implementation of public relations and procolo activities properly. Identity or selfcan be seen by the implementation of public relations and protocol activities well.

scholarly journals Prosthesis and the engineered imagination: reading augmentation and disability across cultural theory, representation and product design

2019 ◽  
Vol 46 (1) ◽  
pp. 55-61 ◽  
Author(s):  
Raymond Holt ◽  
Stuart Murray
Keyword(s):  
Cultural Studies ◽  
Lived Experience ◽  
Engineering Design ◽  
Systems Engineering ◽  
Technology Use ◽  
Medical Humanities ◽  
Cultural Theory ◽  
Diverse Range ◽  
Disability Theory ◽  
Design For All

This article argues for the value of considering the interaction of literary/cultural studies, disability studies and engineering/design studies in the ongoing development of a critical medical humanities research frame. With a specific focus on prosthesis, but also considerations of embodiment, technology and augmentation as concepts in both cultural/disability theory and engineering/design, we note how the shifting and plastic ideas of ‘the prosthetic’ as used within cultural studies have never been in conversation with scholars who work on prostheses in engineering design or the processes through which such technologies are produced. Additionally, we show that the increased use of systems engineering in the design and construction of prostheses creates fractured ideas of disabled bodies that frequently ignore both the cultural meaning and lived experience of technology use. In design and engineering, prostheses are literal objects, often made to order for a diverse range of clients and produced across different working platforms; in cultural studies, the word creates multiple resonances around both augmented bodies and non-embodied states increasingly understood in terms of assemblage and supplementarity. Working from this, we outline how questions of metaphor, materiality and systems weave through the different disciplines. The article claims that a critical dialogue between the working methods of literary/cultural studies and engineering/design, for all their obvious differences, possesses the potential to create informed and sophisticated accounts of disability embodiment. Our conclusion brings the strands of the enquiry together and points to the merits of engineering the imagination, and imagining engineering, as both a subject and method in future medical humanities research.

Configurable Reference Modeling Languages

2010 ◽  
pp. 180-201
Author(s):  
Jan Recker ◽  
Michael Rosemann ◽  
Wil M.P. van der Aalst ◽  
Monique Jansen-Vullers ◽  
Alexander Dreiling
Keyword(s):  
Systems Analysis ◽  
Process Mining ◽  
Modeling Languages ◽  
Future Scenarios ◽  
Business Systems ◽  
Analysis And Design ◽  
Reference Models ◽  
Systems Analysis And Design ◽  
Process Chains ◽  
Reference Modeling

This chapter discusses reference modeling languages for business systems analysis and design. In particular, it reports on reference models in the context of the design-for/by-reuse paradigm, explains how traditional modeling techniques fail to provide adequate conceptual expressiveness to allow for easy model reuse by configuration or adaptation and elaborates on the need for reference modeling languages to be configurable. We discuss requirements for and the development of reference modeling languages that reflect the need for configurability. Exemplarily, we report on the development, definition and configuration of configurable event-driven process chains. We further outline how configurable reference modeling languages and the corresponding design principles can be used in future scenarios such as process mining and data modeling.

Lessons Learned in Reference Modeling

2011 ◽  
pp. 355-371 ◽  
Author(s):  
Wolfgang Hohnel ◽  
Daniela Krahl ◽  
Dirk Schreiber
Keyword(s):  
Success Factors ◽  
Reference Model ◽  
Lessons Learned ◽  
Practical Work ◽  
Time Constraints ◽  
Development Environment ◽  
Reference Models ◽  
Critical Success ◽  
Reference Modeling ◽  
Key Issues

A reference model is always developed in order to support a specific purpose. The development environment is setting the broader context. Limitations are not only set by size and experience of the modeler team or by budget and time constraints. The intended usage scenario also defines the fundamental contour of a reference model. During the practical work with reference models, a range of key issues has come up to increase the suitability of reference models for daily use. As the result of many projects, the authors have summarized the key issues and formulated critical success factors for reference modeling projects.

The Pransky interview: Dr Steve Cousins, CEO, Savioke, Entrepreneur and Innovator

2016 ◽  
Vol 43 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Joanne Pransky
Keyword(s):  
Computer Science ◽  
Open Source ◽  
Industrial Robot ◽  
Chief Executive ◽  
Research Center ◽  
Information Technology Industry ◽  
Content Type ◽  
Track Record ◽  
Systems Research ◽  
A Company

Purpose – The following paper is a “Q & A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned successful business leader, regarding the commercialization and challenges of bringing technological inventions to market while overseeing a company. The paper aims to discuss these issues. Design/methodology/approach – The interviewee is Dr Steve Cousins, a seasoned executive, entrepreneur and innovator with a strong track record for managing research and development organizations and realizing a significant return on investment. Dr Cousins has dedicated the past near-decade of his life to the mission of building and deploying personal and service robotic technology to assist people. In this interview, Dr Cousins discusses some of the technical and business insights that have led to his most recent robotic advancements as Chief Executive Officer (CEO) of Savioke, a company that is creating autonomous robot helpers for the services industry. Findings – Dr Cousins received his BS and MS degrees in computer science from Washington University, and holds a PhD in computer science from Stanford University. Dr Cousins managed the Advanced Systems Development Laboratory at the Xerox Palo Alto Research Center (PARC) and then went on to lead the IBM Almaden Research Center, one of the top human–computer interaction research groups in the world, as the Senior Manager of the User-Focused Systems Research Group. While at IBM, Dr Cousins earned a micro-MBA. Originality/value – Dr Cousins is spearheading a new business model for robotics, Robots as a Service (RaaS), with Savioke’s flagship mobile robot, Relay. Based on the information technology industry service trend of improving customer experiences, Savioke is successfully applying RaaS to the hospitality industry with about 10 Relays at half a dozen US major hotels. Before founding Savioke, Dr Cousins was the President and CEO of Willow Garage, where he oversaw the creation of the robot operating system (ROS), the PR2 robot and the open-source TurtleBot. In the last three years of his tenure at Willow Garage, Dr Cousins spun off eight successful companies: Suitable Technologies (maker of the Beam remote presence system); Industrial Perception, Inc. (acquired by Google in 2013); Redwood Robotics (acquired by Google in 2013); HiDOF (ROS and robotics consulting); Unbounded Robotics; The Open Source Robotics Foundation; The OpenCV Foundation; and The Open Perception Foundation. Dr Cousins is an active participant in the Robots for Humanity project.

scholarly journals Data Dimensionality Reduction Techniques : Review

2020 ◽  
Vol 4 (4) ◽  
pp. 62-65
Author(s):  
Bhargavi K
Keyword(s):  
Computer Science ◽  
Scientific Method ◽  
Data Science ◽  
Process Data ◽  
Reduction Techniques ◽  
Data Dimensionality Reduction ◽  
Organization Analysis ◽  
User Data ◽  
Dimensionality Reduction Techniques ◽  
A Company

Data science is the study of data. It involves developing methods of recording, storing, and analyzing data to effectively extract useful information. The goal of data science is to gain insights and knowledge from any type of data — both structured and unstructured. Data science is related to computer science, but is a separate field. Computer science involves creating programs and algorithms to record and process data, while data science covers any type of data analysis, which may or may not use computers. Data science is more closely related to the mathematics field of Statistics, which includes the collection, organization, analysis, and presentation of data. Because of the large amounts of data modern companies and organizations maintain, data science has become an integral part of IT. For example, a company that has petabytes of user data may use data science to develop effective ways to store, manage, and analyze the data. The company may use the scientific method to run tests and extract results that can provide meaningful insights about their users.

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