Quality of Service Controlled Multimedia Transport Protocol

PhDThis research looks at the design of an open transport protocol that supports a range of services including multimedia over low data-rate networks. Low data-rate multimedia applications require a system that provides quality of service (QoS) assurance and flexibility. One promising field is the area of content-based coding. Content-based systems use an array of protocols to select the optimum set of coding algorithms. A content-based transport protocol integrates a content-based application to a transmission network. General transport protocols form a bottleneck in low data-rate multimedia communicationbsy limiting throughpuot r by not maintainingt iming requirementsT. his work presents an original model of a transport protocol that eliminates the bottleneck by introducing a flexible yet efficient algorithm that uses an open approach to flexibility and holistic architectureto promoteQ oS.T he flexibility andt ransparenccyo mesi n the form of a fixed syntaxt hat providesa seto f transportp rotocols emanticsT. he mediaQ oSi s maintained by defining a generic descriptor. Overall, the structure of the protocol is based on a single adaptablea lgorithm that supportsa pplication independencen, etwork independencea nd quality of service. The transportp rotocol was evaluatedth rougha set of assessmentos:f f-line; off-line for a specific application; and on-line for a specific application. Application contexts used MPEG-4 test material where the on-line assessmenuts eda modified MPEG-4 pl; yer. The performanceo f the QoSc ontrolledt ransportp rotocoli s often bettert hano thers chemews hen appropriateQ oS controlledm anagemenatl gorithmsa re selectedT. his is shownf irst for an off-line assessmenwt here the performancei s compared between the QoS controlled multiplexer,a n emulatedM PEG-4F lexMux multiplexers chemea, ndt he targetr equirements. The performanceis also shownt o be better in a real environmentw hen the QoS controlled multiplexeri s comparedw ith the real MPEG-4F lexMux scheme

Multimedia in mobile networks: Streaming techniques, optimization and User Experience

1.UMTS overview and User Experience 2.Streaming Service & Streaming Platform 3.Quality of Service 4.Mpeg-4 5.Test Methodology & testing architecture 6.Conclusion

DEVELOPING AN INTEGRATED MODEL FOR THE CORN, ETHANOL, AND BEEF SYSTEMS USING A LOOSELY COUPLED WEB FRAMEWORK

With the global population approaching 9 billion people by the year 2050, the world’s food, energy, and water (FEW) resources must be used more intelligently to provide for everyone. While we understand how individual FEW systems behave using modeling, we cannot understand the full environmental and production impacts of decisions in each system without understanding how they are all linked together. An approach to coupling these systems is starting with identifying a few highly interconnected FEW systems. The corn, ethanol, and beef systems are large economic and agricultural drivers in the Midwest United States and are highly linked. Many individual models exist for each system and are wrapped in software to be used for decision support. This thesis explores the integration of the corn, ethanol, and beef systems by connecting existing models using a loosely coupled web framework. Each model is wrapped in Python code and linked, also in Python, using connections that reflect the real world system. Environmental impact of the full integrated system is done using life cycle assessment that accounts for inputs and outputs for each model. Simulations done with the models predict the resource production of the integrated system given user inputs and the full environmental impacts in water use, energy use, and greenhouse gas emissions. The objectives of this thesis are: (1) to review literature of FEW nexus integration by coupling models, (2) integrating the crop and biofuel systems with service-oriented architecture, and (3) integrating the corn, ethanol, and beef systems with service-oriented architecture. Scenario analyses are done to test the models’ responses to different management, climate, and resource demand scenarios. Advisors: Jeyamkondan Subbiah and Deepak Keshwan

DEVELOPING AN INTEGRATED MODEL FOR THE CORN, ETHANOL, AND BEEF SYSTEMS USING A LOOSELY COUPLED WEB FRAMEWORK

With the global population approaching 9 billion people by the year 2050, the world’s food, energy, and water (FEW) resources must be used more intelligently to provide for everyone. While we understand how individual FEW systems behave using modeling, we cannot understand the full environmental and production impacts of decisions in each system without understanding how they are all linked together. An approach to coupling these systems is starting with identifying a few highly interconnected FEW systems. The corn, ethanol, and beef systems are large economic and agricultural drivers in the Midwest United States and are highly linked. Many individual models exist for each system and are wrapped in software to be used for decision support. This thesis explores the integration of the corn, ethanol, and beef systems by connecting existing models using a loosely coupled web framework. Each model is wrapped in Python code and linked, also in Python, using connections that reflect the real world system. Environmental impact of the full integrated system is done using life cycle assessment that accounts for inputs and outputs for each model. Simulations done with the models predict the resource production of the integrated system given user inputs and the full environmental impacts in water use, energy use, and greenhouse gas emissions. The objectives of this thesis are: (1) to review literature of FEW nexus integration by coupling models, (2) integrating the crop and biofuel systems with service-oriented architecture, and (3) integrating the corn, ethanol, and beef systems with service-oriented architecture. Scenario analyses are done to test the models’ responses to different management, climate, and resource demand scenarios. Advisors: Jeyamkondan Subbiah and Deepak Keshwan

DEVELOPING AN INTEGRATED MODEL FOR THE CORN, ETHANOL, AND BEEF SYSTEMS USING A LOOSELY COUPLED WEB FRAMEWORK

With the global population approaching 9 billion people by the year 2050, the world’s food, energy, and water (FEW) resources must be used more intelligently to provide for everyone. While we understand how individual FEW systems behave using modeling, we cannot understand the full environmental and production impacts of decisions in each system without understanding how they are all linked together. An approach to coupling these systems is starting with identifying a few highly interconnected FEW systems. The corn, ethanol, and beef systems are large economic and agricultural drivers in the Midwest United States and are highly linked. Many individual models exist for each system and are wrapped in software to be used for decision support. This thesis explores the integration of the corn, ethanol, and beef systems by connecting existing models using a loosely coupled web framework. Each model is wrapped in Python code and linked, also in Python, using connections that reflect the real world system. Environmental impact of the full integrated system is done using life cycle assessment that accounts for inputs and outputs for each model. Simulations done with the models predict the resource production of the integrated system given user inputs and the full environmental impacts in water use, energy use, and greenhouse gas emissions. The objectives of this thesis are: (1) to review literature of FEW nexus integration by coupling models, (2) integrating the crop and biofuel systems with service-oriented architecture, and (3) integrating the corn, ethanol, and beef systems with service-oriented architecture. Scenario analyses are done to test the models’ responses to different management, climate, and resource demand scenarios. Advisors: Jeyamkondan Subbiah and Deepak Keshwan

DEVELOPING AN INTEGRATED MODEL FOR THE CORN, ETHANOL, AND BEEF SYSTEMS USING A LOOSELY COUPLED WEB FRAMEWORK

With the global population approaching 9 billion people by the year 2050, the world’s food, energy, and water (FEW) resources must be used more intelligently to provide for everyone. While we understand how individual FEW systems behave using modeling, we cannot understand the full environmental and production impacts of decisions in each system without understanding how they are all linked together. An approach to coupling these systems is starting with identifying a few highly interconnected FEW systems. The corn, ethanol, and beef systems are large economic and agricultural drivers in the Midwest United States and are highly linked. Many individual models exist for each system and are wrapped in software to be used for decision support. This thesis explores the integration of the corn, ethanol, and beef systems by connecting existing models using a loosely coupled web framework. Each model is wrapped in Python code and linked, also in Python, using connections that reflect the real world system. Environmental impact of the full integrated system is done using life cycle assessment that accounts for inputs and outputs for each model. Simulations done with the models predict the resource production of the integrated system given user inputs and the full environmental impacts in water use, energy use, and greenhouse gas emissions. The objectives of this thesis are: (1) to review literature of FEW nexus integration by coupling models, (2) integrating the crop and biofuel systems with service-oriented architecture, and (3) integrating the corn, ethanol, and beef systems with service-oriented architecture. Scenario analyses are done to test the models’ responses to different management, climate, and resource demand scenarios. Advisors: Jeyamkondan Subbiah and Deepak Keshwan

Semiotic Annotation of Narrative Video Commercials: Bridging the Gap between Artifacts and Ontologies

Drawing on semiotic theories, the paper proposes a new concept of annotation \u2013 called semiotic annotation \u2013 whose goal is to describe the multilayered articulation of meaning inscribed within narrative video commercials by their designers. The approach exploits the use of a meta-model of the narrative video genre providing the conceptualizations and the vocabulary for analysis and annotation. By explicating design knowledge embodied in the video, semiotic annotation plays the role of intermediate level knowledge between the meta-model (an informal ontology) and practice (the concrete video artifact). In order to assess the feasibility of the approach, a test bed is presented and results are reported. A final discussion about the potential contribution of semiotic annotation in the fields of Research Through Design, Technological Mediation, and Interface Criticism concludes the study

Automated Scenario Generation Environment

Report describes IST\u27s investigation into the feasibility of automating the process of planning and scenario generation for large scale (joint level) simulation exercises and development of an architecture for that purpose

Exploring low-carbon futures: A web service approach to linking diverse climate-energy-economy models

© 2019 by the authors. The use of simulation models is essential when exploring transitions to low-carbon futures and climate change mitigation and adaptation policies. There are many models developed to understand socio-environmental processes and interactions, and analyze alternative scenarios, but hardly one single model can serve all the needs. There is much expectation in climate-energy research that constructing new purposeful models out of existing models used as building blocks can meet particular needs of research and policy analysis. Integration of existing models, however, implies sophisticated coordination of inputs and outputs across different scales, definitions, data and software. This paper presents an online integration platform which links various independent models to enhance their scope and functionality. We illustrate the functionality of this web platform using several simulation models developed as standalone tools for analyzing energy, climate and economy dynamics. The models differ in levels of complexity, assumptions, modeling paradigms and programming languages, and operate at different temporal and spatial scales, from individual to global. To illustrate the integration process and the internal details of our integration framework we link an Integrated Assessment Model (GCAM), a Computable General Equilibrium model (EXIOMOD), and an Agent Based Model (BENCH). This toolkit is generic for similar integrated modeling studies. It still requires extensive pre-integration assessment to identify the ‘appropriate’ models and links between them. After that, using the web service approach we can streamline module coupling, enabling interoperability between different systems and providing open access to information for a wider community of users

Position paper: Open web-distributed integrated geographic modelling and simulation to enable broader participation and applications

© 2020 The Authors Integrated geographic modelling and simulation is a computational means to improve understanding of the environment. With the development of Service Oriented Architecture (SOA) and web technologies, it is possible to conduct open, extensible integrated geographic modelling across a network in which resources can be accessed and integrated, and further distributed geographic simulations can be performed. This open web-distributed modelling and simulation approach is likely to enhance the use of existing resources and can attract diverse participants. With this approach, participants from different physical locations or domains of expertise can perform comprehensive modelling and simulation tasks collaboratively. This paper reviews past integrated modelling and simulation systems, highlighting the associated development challenges when moving to an open web-distributed system. A conceptual framework is proposed to introduce a roadmap from a system design perspective, with potential use cases provided. The four components of this conceptual framework - a set of standards, a resource sharing environment, a collaborative integrated modelling environment, and a distributed simulation environment - are also discussed in detail with the goal of advancing this emerging field