scholarly journals A Mobile Picture Tagging System Using Tree-Structured Layered Bayesian Networks

2013 ◽  
Vol 9 (3) ◽  
pp. 209-224 ◽  
Author(s):  
Young-Seol Lee ◽  
Sung-Bae Cho
Keyword(s):  
Bayesian Networks ◽  
Digital Media ◽  
Probabilistic Models ◽  
Semantic Annotation ◽  
Multimedia Content ◽  
Graphic User Interface ◽  
Mobile Environment ◽  
Tree Structures ◽  
Automatic Tagging ◽  
Content Tagging

Advances in digital media technology have increased in multimedia content. Tagging is one of the most effective methods to manage a great volume of multimedia content. However, manual tagging has limitations such as human fatigue and subjective and ambiguous keywords. In this paper, we present an automatic tagging method to generate semantic annotation on a mobile phone. In order to overcome the constraints of the mobile environment, the method uses two layered Bayesian networks. In contrast to existing techniques, this approach attempts to design probabilistic models with fixed tree structures and intermediate nodes. To evaluate the performance of this method, an experiment is conducted with data collected over a month. The result shows the efficiency and effectiveness of our proposed method. Furthermore, a simple graphic user interface is developed to visualize and evaluate recognized activities and probabilities.

scholarly journals Modeling and simulation of reconfigurable systems with applications to the polishing process

2021 ◽  
Author(s):  
Qiang (John) Sun
Keyword(s):  
Software Package ◽  
Topology Design ◽  
Graphic User Interface ◽  
Polishing Process ◽  
Tree Structures ◽  
Tool Paths ◽  
Simulation And Control ◽  
And Control ◽  
Polishing Tool ◽  
Cam Software

This thesis presents a newly developed system for simulation and control of reconfigurable machines and applications in the polishing process. A software package is developed that consists of the Varying Topology Simulation and Control System (VT-Sim) as well as the Polishing CAM (P-CAM) software system. VT-Sim can simulate and control reconfigurable machines of serial or tree structures. It is developed based on mechatronic modules, each of which has a graphic user interface that can be connected to a physical module. The selected modules are linked through a graph-based topology design platform to generate an assembled system together with the equations for simulation and control. P-CAM can simulate and generate CNC codes for the polishing process. The roughness of the polished parts is simulated for selected polishing parameters. Once satisfied, polishing tool paths can be generated and visualized.

scholarly journals Memasyarakatkan Bus Rapid Transit Trans Siginjai melalui komunitas dan media digital di Provinsi Jambi

2019 ◽  
Vol 1 ◽  
pp. 310-316
Author(s):  
Haryadi Haryadi ◽  
Moh. Arief Rakhman
Keyword(s):  
Digital Media ◽  
Local Community ◽  
Bus Rapid Transit ◽  
Multimedia Content ◽  
Mass Transportation ◽  
Rapid Transit ◽  
Student Groups ◽  
The People ◽  
Potential Market ◽  
The City

In 2018 Trans Siginjai officially began operations in the city of Jambi, with a route connecting Jambi City with Muaro Jambi District. Passing the length of the route is 19 Km, passing through two large campuses in Jambi Province. Making this BRT (Bus Rapid Transit) mode has a potential market among the community of student groups. Preliminary observations were made and several studies showed that the 1 year period after the operation of the BRT showed a condition that was not optimal. The solution offered from the service done is to see how actually the transport facilities owned by Jambi Province have a lot of additional potential besides being the only mass transportation on this route. The potential that can be raised by the TransTiginjai BRT is Multiple effects of education, ecology, economics. the target of service is students and the community who live in the city of Jambi. The method used is by activating the local community and optimizing the use of digital media with the main output being various multimedia content. After the activities have not been made significant changes have occurred but there has been an increase in awareness among media users who are targeted for service, namely those from students. From the academic side, this service also tries to prove that the synergy of the community, academics and authorities is able to provide a real solution for a city and the people who live in it.

Emotional Semantic Detection from Multimedia

2010 ◽  
pp. 126-146 ◽  
Author(s):  
Shang-fei Wang ◽  
Xu-fa Wang
Keyword(s):  
Content Analysis ◽  
Digital Media ◽  
Research Area ◽  
Multimedia Content ◽  
General Frame ◽  
Problem Resolution ◽  
Multimedia Content Analysis ◽  
Critical Problems ◽  
Active Research ◽  
Active Research Area

Recent years have seen a rapid increase in the size of digital media collections. Because emotion is an important component in the human classification and retrieval of digital media, emotional semantic detection from multimedia has been an active research area in recent decades. This chapter introduces and surveys advances in this area. First, the authors propose a general frame of research on affective multimedia content analysis, which includes physical, psychological and physiological space, alongside the relationships between the three. Second, the authors summarize research conducted on emotional semantic detection from images, videos, and music. Third, three typical archetypal systems are introduced. Last, explanations of several critical problems that are faced in database, the three spaces, and the relationships are provided, and some strategies for problem resolution are proposed.

scholarly journals Quantum Probabilistic Models Using Feynman Diagram Rules for Better Understanding the Information Diffusion Dynamics in Online Social Networks

2020 ◽  
Vol 34 (10) ◽  
pp. 13730-13731
Author(s):  
Ece C. Mutlu
Keyword(s):  
Social Networks ◽  
Social Learning ◽  
Complex Systems ◽  
Bayesian Networks ◽  
Online Social Networks ◽  
Information Diffusion ◽  
Probabilistic Models ◽  
Human Interaction ◽  
Multi Agent Systems ◽  
Diffusion Dynamics

This doctoral consortium presents an overview of my anticipated PhD dissertation which focuses on employing quantum Bayesian networks for social learning. The project, mainly, aims to expand the use of current quantum probabilistic models in human decision-making from two agents to multi-agent systems. First, I cultivate the classical Bayesian networks which are used to understand information diffusion through human interaction on online social networks (OSNs) by taking into account the relevance of multitude of social, psychological, behavioral and cognitive factors influencing the process of information transmission. Since quantum like models require quantum probability amplitudes, the complexity will be exponentially increased with increasing uncertainty in the complex system. Therefore, the research will be followed by a study on optimization of heuristics. Here, I suggest to use an belief entropy based heuristic approach. This research is an interdisciplinary research which is related with the branches of complex systems, quantum physics, network science, information theory, cognitive science and mathematics. Therefore, findings can contribute significantly to the areas related mainly with social learning behavior of people, and also to the aforementioned branches of complex systems. In addition, understanding the interactions in complex systems might be more viable via the findings of this research since probabilistic approaches are not only used for predictive purposes but also for explanatory aims.

Bayesian Network: Probabilistic Reasoning, Statistical Learning, and Applications

2004 ◽  
Vol 8 (2) ◽  
pp. 93-99 ◽  
Author(s):  
Yoichi Motomura ◽  
Keyword(s):  
Information Processing ◽  
Bayesian Networks ◽  
Bayesian Network ◽  
Statistical Learning ◽  
Probabilistic Models ◽  
Probabilistic Reasoning ◽  
Network Models ◽  
Intelligent Information Processing ◽  
Intelligent Information ◽  
Bayesian Network Models

Bayesian networks are probabilistic models that can be used for prediction and decision-making in the presence of uncertainty. For intelligent information processing, probabilistic reasoning based on Bayesian networks can be used to cope with uncertainty in real-world domains. In order to apply this, we need appropriate models and statistical learning methods to obtain models. We start by reviewing Bayesian network models, probabilistic reasoning, statistical learning, and related researches. Then, we introduce applications for intelligent information processing using Bayesian networks.

scholarly journals Uniqueness of the Level Two Bayesian Network Representing a Probability Distribution

2011 ◽  
Vol 2011 ◽  
pp. 1-13 ◽  
Author(s):  
Linda Smail
Keyword(s):  
Artificial Intelligence ◽  
Probability Distribution ◽  
Bayesian Networks ◽  
Bayesian Network ◽  
Probabilistic Models ◽  
Probability Distributions ◽  
Random Variables ◽  
Inference Problem ◽  
Computation Algorithm

Bayesian Networks are graphic probabilistic models through which we can acquire, capitalize on, and exploit knowledge. they are becoming an important tool for research and applications in artificial intelligence and many other fields in the last decade. This paper presents Bayesian networks and discusses the inference problem in such models. It proposes a statement of the problem and the proposed method to compute probability distributions. It also uses D-separation for simplifying the computation of probabilities in Bayesian networks. Given a Bayesian network over a family of random variables, this paper presents a result on the computation of the probability distribution of a subset of using separately a computation algorithm and D-separation properties. It also shows the uniqueness of the obtained result.

Prototyping a tangible tool for design: Multimedia e-paper sticky notes

2009 ◽  
Vol 23 (3) ◽  
pp. 263-274 ◽  
Author(s):  
Maribeth Back ◽  
Takashi Matsumoto ◽  
Anthony Dunnigan
Keyword(s):  
Digital Media ◽  
Design Process ◽  
New Technologies ◽  
Design Tool ◽  
Interactive Systems ◽  
Multimedia Content ◽  
Media Content ◽  
Digital Information ◽  
Interaction Control ◽  
Paper Device

AbstractModern design embraces digital augmentation, especially in the interplay of digital media content and the physical dispersion and handling of information. Based on the observation that small paper memos with sticky backs (such as Post-Its™) are a powerful and frequently used design tool, we have created Post-Bits, a new interface device with a physical embodiment that can be handled as naturally as paper sticky notes by designers, yet add digital information affordances as well. A Post-Bit is a design prototype of a small electronic paper device for handling multimedia content, with interaction control and display in one thin flexible sheet. Tangible properties of paper such as flipping, flexing, scattering, and rubbing are mapped to controlling aspects of the multimedia content such as scrubbing, sorting, or up- or downloading dynamic media (images, video, text). In this paper we discuss both the design process involved in building a prototype of a tangible interface using new technologies, and how the use of Post-Bits as a tangible design tool can impact two common design tasks: design ideation or brainstorming, and storyboarding for interactive systems or devices.

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