Implementation of genetic algorithm for distribution systems lossminimum re-configuration

The loss minimum reconfiguration problem in the open loop radial distribution system is basically one of complex combinatorial optimization, since the normal open sectionalizing switches must be determined appropriately. The genetic algorithm was successfully applied to the loss minimum reconfiguration problem. In the proposed algorithm, strings consist of sectionalizing switch status or radial configurations, and the fitness function consists of the total system losses and penalty value of voltage drop and current capacity violations. The loss minimum reconfiguration problem is formulated as a mixed integer programming problem. The essential components of the genetic algorithm are briefly described. A detailed solution methodology by the use of genetic algorithm is outlined. Numerical examples demonstrate the validity and effectiveness of the proposed methodology     

Formalizing coexistential communication as co-creation of Leibnizian spatio-temporal fields

This paper proposes deep and fundamental structures of communication among persons in a “coexistential” setting. The basic framework for this formalization of communication structures is Leibnizian notions of space and time together with the notion of the Existential Graph by C. S. Peirce and that of the Petri net, more precisely, the occurrence net. The fundamental structures of coexistential communication are then formalized as co-creation of Leibnizian space and time in such a manner that they are used to link the communicated messages, thus establishing the “coexistential atmosphere and field” (“Ba” in Japanese) among the individuals. This framework is then applied to the analysis of theater play communication. Finally, the framework of information edaphology is also introduced to discuss the growth processes of individuals and communities through coexistential communication.     

System design of “Ba”-like stages for improvisational acts via Leibnizian space–time and Peirce’s existential graph concepts

A framework for “improvisational” social acts and communication is introduced by referring to the idea of “relationalism” such as natural farming, permaculture and deep ecology. Based on this conception, the notion of Existential Graph by C. S. Peirce is introduced. The notion of extended self in deep ecology is substantiated based on the Roy Adaptation Model in Nursing Theory and Narrative approaches. By focusing on Leibnizian notions of space and time and by introducing Petri net, a spatio-temporal model of improvisation is constructed. This model is expected to substantiate the interesting notion of “Ba” proposed by H. Shimizu reflecting Japanese culture.     

A Study on Acquiring Underlying Behavioral Criteria for Manipulator Motion by Focusing on Learning Efficiency

Conventional humanoid robotic behaviors are directly programmed depending on the programmer's personal experience. With this method, the behaviors usually appear unnatural. It is believed that a humanoid robot can acquire new adaptive behaviors from a human, if the robot has the criteria underlying such behaviors. The aim of this paper is to establish a method of acquiring human behavioral criteria. The advantage of acquiring behavioral criteria is that the humanoid robots can then autonomously produce behaviors for similar tasks with the same behavioral criteria but without transforming data obtained from morphologically different humans every time for every task. In this paper, a manipulator robot learns a model behavior, and another robot is created to perform the model behavior instead of being performed by a person. The model robot is presented some behavioral criteria, but the learning manipulator robot does not know them and tries to infer them. In addition, because of the difference between human and robot bodies, the body sizes of the learning robot and the model robot are also made different. The method of obtaining behavioral criteria is realized by comparing the efficiencies with which the learning robot learns the model behaviors. Results from the simulation have demonstrated that the proposed method is effective for obtaining behavioral criteria. The proposed method, the details regarding the simulation, and the results are presented in this paper.     

Expanding awareness by inclusive communication design

In this paper, we report the case of an Inclusive Design workshop. Inclusive Design is a design method that includes elderly and disabled people not only in interviews, but also in the upstream design process such as basic design and survey analysis. In the workshop, participants designed scientific educational materials that visually impaired and sighted people can use together. To work together regardless of visual disability, participants used the image-processing system and the stereo copying machine to make images tactile. We think that collaborative work with elderly and disabled people in Inclusive Design can teach participants different perspectives and help to correct their biased view of each other. In fact, participants of the workshop noticed several facts that they were not aware of before. That is, the Inclusive Design workshop can improve social awareness.     

Novel nonspeech tones for conceptualizing spatial information

We propose a novel concept toward interfaces that can provide visually impaired persons with the opportunity to recover the freedom to conceptualize their environment without depending on conventional voice synthesizer systems. Fourteen subjects participated in ten experiments to provide results that evaluated their performances to conceptualize spatial information based on cues in “artificial-sounding” (AS) and “natural-sounding” (NS) tones. The source of AS tones was the digitized sound used by the vOICe Learning Edition, and the source of NS tones was fan noise with analogs in everyday listening. Experimental results revealed that the use of NS tones was essential for improving the conceptualization performance of subjects as the eventual users of novel human–environment interfaces. This work was presented in part at the 11th International Symposium on Artificial Life and Robotics, Oita, Japan, January 23–25, 2006