Copyright (c) 2011 All rights reserved. http://works.bepress.com/lucemia Recent documents in Chien Hsun Chen en-us Wed, 24 Aug 2011 19:37:26 PDT 3600 http://works.bepress.com/lucemia/23 http://works.bepress.com/lucemia/23 Sun, 13 Dec 2009 21:32:34 PST "It is a news article related to our works (Y. H. Weng and I) about social robotics. However, I think the main idea in this news article is different with our original concepts. I would like to say that it is better to read our original paper in order to understand our work."

]]> Chien Hsun Chen et al. Robotics http://works.bepress.com/lucemia/22 http://works.bepress.com/lucemia/22 Thu, 19 Nov 2009 13:50:41 PST (PhysOrg.com) -- "In 1981, a 37-year-old factory worker named Kenji Urada entered a restricted safety zone at a Kawasaki manufacturing plant to perform some maintenance on a robot. In his haste, he failed to completely turn it off. The robot’s powerful hydraulic arm pushed the engineer into some adjacent machinery, thus making Urada the first recorded victim to die at the hands of a robot." 研究人员尝试建立机器人法律框架 http://gb.financenews.sina.com/sinacn/304-000-106-109/2009-06-29/02511095421.html 2009-07-07 超越艾西莫夫定律：與機器人安全地共存 http://only-perception.blogspot.com/2009/07/blog-post_07.html

]]> Chien Hsun Chen et al. Robotics http://works.bepress.com/lucemia/21 http://works.bepress.com/lucemia/21 Thu, 19 Nov 2009 04:41:02 PST In this chapter we will describe a legal framework for Next Generation Robots (NGRs) that has safety as its central focus. The framework is offered in response to the current lack of clarity regarding robot safety guidelines, despite the development and impending release of tens of thousands of robots into workplaces and homes around the world. We also describe our proposal for a safety intelligence (SI) concept that addresses issues associated with open texture risk for robots that will have a relatively high level of autonomy in their interactions with humans. Whereas Isaac Asimov’s Three Laws of Robotics are frequently held up as a suitable foundation for creating an artificial moral agency for ensuring robot safety, here we will explain our skepticism that a model based on those laws is sufficient for that purpose. In its place we will recommend an alternative legal machine language (LML) model that uses non-verbal information from robot sensors and actuators to protect both humans and robots. To implement a LML model, robotists must design a biomorphic nerve reflex system, and legal scholars must define safety content for robots that have limited “selfawareness.”

]]> Chien Hsun Chen et al. Robotics http://works.bepress.com/lucemia/20 http://works.bepress.com/lucemia/20 Thu, 19 Nov 2009 04:29:50 PST Technocrats from many developed countries, especially Japan and South Korea, are preparing for the human-robot co-existence society that they believe will emerge by 2030. Regulators are assuming that within the next two decades, robots will be capable of adapting to complex, unstructured environments and interacting with humans to assist with the performance of daily life tasks. Unlike heavily regulated industrial robots that toil in isolated settings, Next Generation Robots will have relative autonomy, which raises a number of safety issues that are the focus of this article. Our purpose is to describe a framework for a legal system focused on Next Generation Robots safety issues, including a Safety Intelligence concept that addresses robot Open-Texture Risk. We express doubt that a model based on Isaac Asimov's Three Laws of Robotics can ever be a suitable foundation for creating an articial moral agency ensuring robot safety. Finally, we make predictions about the most signicant Next Generation Robots safety issues that will arise as the human-robot co-existence society emerges.

]]> Chien Hsun Chen et al. Robotics http://works.bepress.com/lucemia/19 http://works.bepress.com/lucemia/19 Thu, 19 Nov 2009 04:15:26 PST This study proposes a neural network-family competition genetic algorithm (NN-FCGA) for solving the electromagnetic (EM) optimization and other general-purpose optimization problems. The NN-FCGA is a hybrid evolutionary-based algorithm, combining the good approximation performance of neural network (NN) and the robust and effective optimum search ability of the family competition genetic algorithms (FCGA) to accelerate the optimization process. In this study, the NN-FCGA is used to extract a set of optimal design parameters for two representative design examples: the multiple section low-pass filter and the polygonal electromagnetic absorber. Our results demonstrate that the optimal electromagnetic properties given by the NN-FCGA are comparable to those of the FCGA, but reducing a large amount of computation time and a well-trained NN model that can serve as a nonlinear approximator was developed during the optimization process of the NN-FCGA.

]]> Chien Hsun Chen et al. Evolution Computation http://works.bepress.com/lucemia/18 http://works.bepress.com/lucemia/18 Fri, 04 Jul 2008 06:38:06 PDT Most desktop computer operating systems provide hierarchical folder mechanisms for managing electronic content, therefore hierarchies still dominate digital information management on PCs. Under certain circumstances, the properties of a folder system make it hard to locate and find specific files stored deep within a hierarchy, therefore researchers are currently studying new mechanisms for file storage, organization, and retrieval. Recently, non-exclusive and flat-network tagging mechanisms have gained popularity for managing online information and files. In this paper we discuss memory theories from cognitive psychology and their potential use in the form of tagging mechanisms for storing and retrieving personal information. Next, we propose a web- based file-tagging tool that allows users to manage files stored on their PCs from remote computers or mobile devices and describe an experiment designed to compare it with a traditional hierarchical folder system.

]]> Chien Hsun Chen et al. Web Application HCI Tagging Network http://works.bepress.com/lucemia/17 http://works.bepress.com/lucemia/17 Sun, 15 Jun 2008 19:47:34 PDT Chien Hsun Chen et al. Genetic Algorithm http://works.bepress.com/lucemia/14 http://works.bepress.com/lucemia/14 Mon, 31 Mar 2008 22:25:27 PDT In this article, we present a genetic algorithm (GA) as one branch of artificial intelligence (AI) for the optimization-design of the artificial magnetic metamaterial whose structure is automatically generated by computer through the filling element methodology. A representative design example, metamaterials with permeability of negative unity, is investigated and the optimized structures found by the GA are presented. It is also demonstrated that our approach is effective for the synthesis of functional magnetic and electric metamaterials with optimal structures. This GA-based optimization-design technique shows great versatility and applicability in the design of functional metamaterials.

]]> Chien Hsun Chen et al. Evolution Computation http://works.bepress.com/lucemia/12 http://works.bepress.com/lucemia/12 Mon, 18 Feb 2008 09:39:31 PST I design and develop the framework for patent analysis with Y.H. Weng. The result is published and patented.

]]> Chien Hsun Chen Tagging Network http://works.bepress.com/lucemia/11 http://works.bepress.com/lucemia/11 Mon, 18 Feb 2008 09:37:25 PST I develop and design the personal document organization framework with I-Wen Lin

]]> Chien Hsun Chen Tagging Network http://works.bepress.com/lucemia/10 http://works.bepress.com/lucemia/10 Mon, 18 Feb 2008 09:36:21 PST In the latest versions of massively multiplayer online games (MMOGs), developers have purposefully made guilds part of game environments. Guilds represent a powerful method for giving players a sense of online community, but there is little quantitative data on guild dynamics. To address this topic, we took advantage of a feature found in one of today’s most popular MMOGs (World of Warcraft) to collect in-game data: user interfaces that players can modify and refine. In addition to collecting data on in-game player activities, we used this feature to observe and investigate how players join and leave guilds. Data were analyzed for the purpose of identifying factors that propel game-world guild dynamics and evolution. After collecting data for 641,805 avatars on 62 Taiwanese World of Warcraft game servers between February 10 and April 10, 2006, we created five guild type categories (small, large, elite, newbie, and unstable) that have different meanings in terms of in-game group dynamics. By viewing players as the most important resource affecting guild life cycles, it is possible to analyze game worlds as ecosystems consisting of evolving guilds and to study how guild life cycles reflect game world characteristics.

]]> Chien Hsun Chen et al. Game Culture http://works.bepress.com/lucemia/9 http://works.bepress.com/lucemia/9 Mon, 18 Feb 2008 09:18:14 PST Chien Hsun Chen Web Application http://works.bepress.com/lucemia/8 http://works.bepress.com/lucemia/8 Mon, 18 Feb 2008 09:17:31 PST Tagtoo is a web2.0 based image share and search framework. It is small now, but It would be the most important and famous work at all.

]]> Chien Hsun Chen Web Application Tagging Network http://works.bepress.com/lucemia/7 http://works.bepress.com/lucemia/7 Mon, 18 Feb 2008 09:16:41 PST Google Android Masses is a web2.0 social network application based on mobile, made by Chien-Hsun Chen and Flow. http://video.google.com/videoplay?docid=-1939321648198893927&hl=en http://www.slideshare.net/lucemia/gam-documentation/

]]> Chien Hsun Chen et al. Web Application Tagging Network http://works.bepress.com/lucemia/4 http://works.bepress.com/lucemia/4 Mon, 18 Feb 2008 09:05:43 PST When analyzing Taiwanese and American market separation and online gaming cultures, sooner or later researchers hear the assertion that players in Taiwan emphasize achievement and players in the US emphasize recreation. This belief may explain why a significant number of Taiwanese World of Warcraft (WoW) players claim that they would rather connect to North American game servers to play. To determine the truth (if any) of this belief, we investigated behaviors, tendencies, and motivations between Taiwanese and American WoW players using data collected via WoW’s unique clientdesigned user interface feature. Data on level upgrade efficiency and participation in guild-organized raids indicate that Taiwanese players do place more importance than American players on achievement. An analysis of avatar and guild behaviors provides significant evidence regarding the effects of social context on player behavior.

]]> C. T. Sun et al. Game Culture http://works.bepress.com/lucemia/3 http://works.bepress.com/lucemia/3 Mon, 18 Feb 2008 09:00:51 PST A method to optimize the focusing quality of integrally gated CNT field-emission (FE) devices by combining field-emission modeling and a computational intelligence technique, genetic algorithm (GA), is proposed and demonstrated. In this work, the e-beam shape, as a characteristic parameter of electron-optical properties, is calculated by field-emission simulation modeling. Using a design tool that combines GA and physical modeling, a set of structural and electrical parameters for four FE device groups, including double-gate, triple-gate, quadruple-gate and quintuple-gate type, were optimized. The resultant FE devices exhibit satisfactory e-beam focusabilities and the extracted parameters with the best performance for each type of FE device were represented to be fabricated by a VLSI technique. The GA-based automatic design parameter extraction will significantly benefit the design of integrated electron-optical systems for versatile vacuum micro- and nano-electronic applications.

]]> P. Y. Chen et al. Genetic Algorithm http://works.bepress.com/lucemia/2 http://works.bepress.com/lucemia/2 Mon, 18 Feb 2008 08:50:16 PST Robot intelligence architecture has advanced from action intelligence to autonomous intelligence, whereby robots can adapt to complex environments and interact with humans. This technology, considered central to next generation robots (NGRs), will become increasingly visible in many human service scenarios in the next two decades. Accordingly, there is an emerging need to predict and address intertwined technological and legal issues that will arise once NGRs become more commonplace. Safety issues will be of particular interest from a legal viewpoint. As robots become more capable of autonomous behavior, regulations associated with industrial robots will no longer be effective. In this paper we will discuss issues associated with autonomous robot behavior regulations associated with the concept of safety intelligence (SI). We believe the SI concept (one of several robot sociability problems) is crucial to the development of “robot law” that will accompany the establishment of a society in which humans and robots co-exist.

]]> Yueh-Hsuan Weng et al. Robotics