Matsubara Proceedings of the ゲームワークショップ株価履歴 International Symposium on Human and Artificial Intelligence Systems HART2002, pp.
Yamamoto Journal of Biomedical Informatics, Vol.
Yamamoto Proceedings of 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation, IECON-2000, pp.
In order to realize a memory search for hierarchical memory patterns, we overcome the problem how to construct the hierarchical memory patterns, whose basin volumes and visiting measures are sufficiently large.
Therefore, we investigate i how to construct the memory patterns which gives sufficiently large basin volumes of theirs in a recurrent neural network model referred to as RNN hereafter, and ii the sensitivity of the chaotic associative memory dynamics in CNN to memory pattern fragments, focusing on the randomness in the memory patterns.
From computer experiments, the basin volumes of the memory patterns become much larger as the randomness increases.
In addition, the sensitive and robust response to the memory pattern fragments is achieved as the randomness becomes larger.
Thus, ensuring sufficient large basin volumes and visiting measures with the same frequency, and the quite sensitive and robust response to the memory pattern fragments, the randomness in memory patterns is practical, which introduces the small overlap among each inter-cycle pattern.
It has been shown that the two-rules set of 90, 180 has the highest description ability of all the possible continue reading sets.
For several sound data, however, the data amount of the resultant codes becomes larger than original data, originating into the limitations of the two-rules set of 90, 180.
In order to overcome the limitations, we try to improve the description ability ゲームワークショップ株価履歴 digital sound data by adding another rule to 90, 180.
Therefore, we evaluate the description ability for the all the possible sets, where we add another rule to 90, 180.
From computer experiments, for the three-rules set of 45, 90, 180the averaged length of the rule sequences of the resultant codes becomes shorter, and a ratio of the reduced search number takes larger for all the data.
Thus, we succeed to improve the description ability.
In the previous researches, hand moving of writing the letter in field was set to target, although our system is using the wrist motion to improve visual silence and availability.
Our system requires the moving after the vibration to ゲームワークショップ株価履歴 the accuracy of authentication.
We got characteristics of motion in 8 subjects.
As the result, we got 11.
We suggest a technique to support an interactive lecture to improve the interactivity in the large lecture.
In previous research, we developed two-way communication system between lecturer and students.
In this study, we develop new class support system to be used during a lecture mainly.
The lecturer writes a text of lecture contents on the Web page for lecturers.
The students use the text written in web page for students.
In addition, the students become able to return some ゲームワークショップ株価履歴 by utilize the reaction button.
This system works on web browser.
Therefore we can use it by simple operation on PC and smartphone.
In general, as a way to backup the data, we use magnetic tape, hard-disk, flash memory, file server, and online storage, etc.
However, these devices have some problems on redundancy, dispersiveness, or security.
We propose fault tolerant data backup system with peer-to-peer network.
To improve the level of redundancy and dispersiveness, our system employs the more info of peer-to-peer network's nodes and redundant encrypting backup data.
We attempt to reduce the nodes' load by halving backup data and sending it to separate nodes.
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