Directional Energy Based Feature Level Multimodal System Using Palm and Fingerprints

2010 ◽  
Author(s):  
Sal ud-Din ◽  
Atif Bin Mansoor ◽  
Mustafa Mumtaz ◽  
Hassan Masood
Keyword(s):  
Multimodal System

Development and Evaluation of Gamified Multimodal System to Improve Experience Value of Floor Wiping

2019 ◽  
pp. 371-377 ◽  
Author(s):  
Ryota Makabe ◽  
Kodai Ito ◽  
Tsubasa Maruyama ◽  
Natsuki Miyata ◽  
Mitsunori Tada ◽  
...  
Keyword(s):  
Multimodal System

The Multimodal Model as a Framework for Decision-Making in Psychotherapy

1974 ◽  
Vol 34 (3) ◽  
pp. 831-834
Author(s):  
Robert L. Woolfolk
Keyword(s):  
Decision Making ◽  
Systems Theory ◽  
General Systems Theory ◽  
Multimodal System ◽  
General Systems ◽  
Therapeutic Procedures

Concepts of General Systems Theory were invoked to highlight the decision-making character of psychotherapy and to propose a framework for increased systematization of therapeutic procedures. The formal characteristics of Lazarus' multimodal system were examined in terms of criteria specifying the conditions necessary for accountability in psychotherapy.

scholarly journals Multimodal Transport System Coevolution Model Based on Synergetic Theory

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Fenling Feng ◽  
Qingya Zhang
Keyword(s):  
Transport System ◽  
Order Parameter ◽  
Line Length ◽  
System Capacity ◽  
Mutual Cooperation ◽  
Multimodal System ◽  
Multimodal Transport ◽  
Railway System ◽  
Synergetic Theory ◽  
System Order

This study investigates multimodal transport system evolution law with the consideration of synergetic theory. Compared with previous studies, this paper focuses on understanding influencing factors of system collaborative development. In particular, we have applied a multimodal system order parameter model to obtain the order parameter. Based on order parameters, the coevolution equations of the multimodal transport system are constructed with consideration of cooperation and competitive relationship between the subsystems. We set out the multimodal system followed the coevolution law of the freight system and dominated by the combined effects of order parameter line length and freight density. The results show that the coordination effects between railway, road, and water subsystems are stronger than aviation subsystem; the railway system is the short plank of the system. Some functional implications from this study are also discussed. Finally the results indicate that expansion of railway system capacity and mutual cooperation within the subsystems are required to reach an optimal multimodal transport system.

Robotics and Multimodal Biometrics

2013 ◽  
pp. 113-129
Keyword(s):  
Virtual Reality ◽  
Virtual Worlds ◽  
Identity Management ◽  
Future Research ◽  
Multimodal System ◽  
Security Research ◽  
University Of Louisville ◽  
Behavioral Profiling ◽  
Biological Entities ◽  
New Generation

This chapter presents a review on a new subfield of security research which transforms and expands the domain of biometrics beyond biological entities to include virtual reality entities, such as avatars, which are rapidly becoming a part of society. Artimetrics research at Cybersecurity Lab, University of Louisville, USA, and Biometric Technologies Lab, University of Calgary, Canada, builds on and expands such diverse fields of science as forensics, robotics, virtual worlds, computer graphics, biometrics, and security. Analyzing the visual properties and behavioral profiling can ensure verification and recognition of avatars. This chapter introduces a multimodal system for artificial entities recognition, simultaneously profiling multiple independent physical and behavioral characteristic of an entity, and creating a new generation multimodal system capable of authenticating both biological (human being) and non-biological (avatars) entities. At the end, this chapter focuses on some future research directions by discussing robotic biometrics beyond images and text-based communication to intelligent software agents that can emulate human intelligence. As artificial intelligence and virtual reality domains evolve, they will in turn give rise to new generation security solutions to identity management spanning both human and artificial entity worlds.

Multi-Modal Transportation

2019 ◽  
pp. 110-141
Keyword(s):  
Decision Making ◽  
Computational Framework ◽  
Multimodal Transportation ◽  
Multimodal System ◽  
Decision Making Framework ◽  
Selection Of

This chapter highlights concepts, dimensions, issues, and challenges associated with multimodal transportation of goods. It gives a decision-making framework for selection of modes and nodes based on the dimensions of multimodal system. Thirteen dimensions of multimodal transportation have been identified and its impact on selection of logistics route has been discussed. A computational framework for selecting the best multimodal route has been proposed in this chapter.

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