Kofu-shi, Japan
Kofu-shi, Japan

Yamanashi Eiwa College is a private university in Kofu, Yamanashi, Japan. The predecessor of the school, a women's school, was founded in 1899 and was chartered as a junior college in 1966. It became coeducational in 2001 and became a four-year college in the following year. Wikipedia.


Time filter

Source Type

Namba M.,Yamanashi Eiwa College
Proceedings of the 14th IASTED International Conference on Computers and Advanced Technology in Education, CATE 2011 | Year: 2011

An Associative Cellular Neural Network(ACNN) has a function of classifying ambiguous data. This paper describes a new diagnosis system of understanding level with ACNN on test. In experiment, we compared estimation capability of ACNN with that of linear function(conventional method) in accordance with precision. The results obtained provide us an effectiveness of ACNN diagnosis system.


Goto H.,Nagaoka University of Technology | Takahashi H.,Yamanashi Eiwa College
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences | Year: 2012

A method for efficiently representing the state equation in a class of max-plus linear systems is proposed. We introduce a construct referred to as 'cell' in which the list of possible longest paths is stored. By imposing interval constraints on the system parameters, we can reduce the complexity of the state equation. The proposed method would be useful in scheduling applications for systems with adjustable system parameters. Copyright © 2012 The Institute of Electronics, Information and Communication Engineers.


Yoshida S.,Nagaoka University of Technology | Takahashi H.,Yamanashi Eiwa College | Takahashi H.,University of Tokyo | Goto H.,Nagaoka University of Technology
IEEM2010 - IEEE International Conference on Industrial Engineering and Engineering Management | Year: 2010

The Max-Plus Linear (MPL) representation is known as a useful solution of scheduling problems for a class of discrete event systems. In such systems, an initial schedule is frequently changed due to unpredictable disturbances. On the other hand, the Critical Chain Project Management (CCPM) method is an effective management tool for protecting projects from delays. In view of this, we have proposed a method of applying the concepts in the CCPM framework to the MPL representation, to control undesirable state changes. In our previous method, several time buffers were virtually inserted as new processes to avoid delays. With this method, however, it is difficult to figure out the relationship between the original structure and the modified one after the CCPM has been applied. Hence this paper proposes a method for taking into account time buffers without installing new virtual processes in the MPL-CCPM representation. ©2010 IEEE.


Kasahara M.,Nagaoka University of Technology | Takahashi H.,Yamanashi Eiwa College | Goto H.,Nagaoka University of Technology
WSEAS Transactions on Information Science and Applications | Year: 2010

Max-Plus-Linear (MPL) system is known as a solution for scheduling problems of a class of discrete event systems. Typical systems include: manufacturing system and project management, etc. In such systems, the initial schedule is frequently changed due to unpredictable disturbances. Critical Chain Project Management (CCPM) method is a management method that can shorten the time required to complete a project based on the Theory Of Constraints (TOC). Therefore, in our previous papers [1] [2], we proposed a method for applying the concepts of the CCPM to MPL representation in order to control the occurrence of an undesirable state change. The CCPM method also provides a solution for the problem of the resource conflict. However, we did not discuss the resource conflict for simplicity. In this paper, we propose a method for discovering resource conflict between the different two projects in the MPL-CCPM representation. We also discuss how to shift the resource in order to resolve the conflict.


Namba M.,Yamanashi Eiwa College
Proceedings of the 13th IASTED International Conference on Computers and Advanced Technology in Education, CATE 2010 | Year: 2010

In self-directed e-learning, it is important to diagnose learner's understanding level and give feedback to him. This study aims to construct an ITS which has a function that diagnoses learner's understanding level and gives appropriate feedback to him. This paper describes a new estimation system of understanding level with a Tri-valued Output Cellular Neural Network(T-CNN) for Associative Memory. In first experiment, T-CNN could classify all participants into expected understanding levels. We confirmed that the result is valid by consideration of accuracy and answer time. In second experiment, we compared estimation ability of T-CNN with that of linear function(conventional method) in accordance with precision. The results provide us that an effectiveness of T-CNN estimation.


Dhurandhar S.,Inter-University Center for Astronomy and Astrophysics | Tagoshi H.,Osaka University | Okada Y.,Osaka City University | Kanda N.,Osaka City University | And 2 more authors.
Physical Review D - Particles, Fields, Gravitation and Cosmology | Year: 2011

The cross-correlation search has been previously applied to map the gravitational wave (GW) stochastic background in the sky and also to target GW from rotating neutron stars/pulsars. Here we investigate how the cross-correlation method can be used to target a small region in the sky spanning at most a few pixels, where a pixel in the sky is determined by the diffraction limit which depends on the (i) baseline joining a pair of detectors and (ii) detector bandwidth. Here as one of the promising targets, we consider the Virgo cluster-a "hot spot" spanning few pixels-which could contain, as estimates suggest ∼1011 neutron stars, of which a small fraction would continuously emit GW in the bandwidth of the detectors. For the detector baselines, we consider advanced detector pairs among LCGT, LIGO, Virgo, ET, etc. Our results show that sufficient signal to noise can be accumulated with integration times of the order of a year if the ellipticity of neutron stars is larger than 10-6. The results improve for the multibaseline search. This analysis could as well be applied to other likely hot spots in the sky and other possible pairs of detectors. © 2011 American Physical Society.


Namba M.,Yamanashi Eiwa College
ICIC Express Letters, Part B: Applications | Year: 2011

In self-directed e-learning, it is important to diagnose learner's understanding level and give feedback to him. This study aims to construct an ITS (Intelligent Tutoring System) which has a function that estimates learner's understanding level and provides appropriate instruction. This paper describes a new estimation system of understanding level with a Trivalued Output Cellular Neural Network (T-CNN) for Associative Memory. In experiment, we compared estimation ability of T-CNN with that of linear function (conventional method) in accordance with precision. The results encourage us to construct the T-CNN estimation system. © 2011 ICIC International.


Ishidoshiro K.,University of Tokyo | Ishidoshiro K.,High Energy Accelerator Research Organization | Ando M.,Kyoto University | Takamori A.,University of Tokyo | And 8 more authors.
Physical Review Letters | Year: 2011

We present the first upper limit on gravitational wave (GW) backgrounds at an unexplored frequency of 0.2 Hz using a torsion-bar antenna (TOBA). A TOBA was proposed to search for low-frequency GWs. We have developed a small-scaled TOBA and successfully found Ωgw(f)<4.3×1017 at 0.2Hz as demonstration of the TOBA's capabilities, where Ωgw(f) is the GW energy density per logarithmic frequency interval in units of the closure density. Our result is the first nonintegrated limit to bridge the gap between the LIGO band (around 100Hz) and the Cassini band (10-6-10 -4Hz). © 2011 American Physical Society.


Akiduki T.,Yamanashi Eiwa College | Zhang Z.,Toyohashi University of Technology | Imamura T.,Niigata University | Takahashi H.,Nagaoka University of Technology
ICIC Express Letters, Part B: Applications | Year: 2014

In this paper, we focus on a time-series analysis method for human motion analysis based on symbolization of sensor data. Human motions are observed by motion sensors such as accelerometers and gyroscopes, which involve time series. Time series of motions can often be represented as periodical signals. In our approach, the time series of the periodical signals are expressed by dynamical systems having attractors, which symbolize the time series in state space. Moreover, the symbol space is designed from a set of attractors to classify/partition symbols. In this paper, we discuss similarity measures for motion in the symbol space by using simulation. The aim of this simulation is to investigate the relationship between the physical conditions of motion and the distribution of symbols in the symbol space. The results suggest that symbol space can be used to discriminate motions. © 2014 ISSN 2185-2766.


Namba M.,Yamanashi Eiwa College
Proceedings of the IASTED International Conference on Computers and Advanced Technology in Education, CATE 2012 | Year: 2012

In self-directed e-learning, it is meaningful to diagnose un- derstanding level properly, but it is difficult for the system to do it. Self Organization Map(SOM) is a very useful tool as classifying high dimensional data. This paper presents a new method diagnosing learner's understanding level with SOM.We demonstrated SOM diagnosis experiments for 27 learners. The good results obtained encouraged us to apply the system to self-learning.

Loading Yamanashi Eiwa College collaborators
Loading Yamanashi Eiwa College collaborators