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In online business, it is important to construct sale web pages offering attractive services for popular products in order to improve access and purchase rates. However, along with these web pages, management of product DB is required to set up complicated sales contents with high efficiency and reliability. To satisfy this requirement, a sale-oriented group management method is proposed. In this...
A delivery route optimization system greatly improves the real time delivery efficiency. To realize such an optimization, its distribution network requires solving several tens to hundreds (maximum 2 thousands or so) cities Traveling Salesman Problems (TSP) within interactive response time (around 3 seconds) with expert-level accuracy (below 3% level of error rate). To meet these requirements, an...
A modeling approach for learning processes is utilized to process, evaluate and refine them. A formerly-developed concept called storyboarding has been applied at Tokyo Denki University (TDU) to model the various curricula for students to progress in their studies. Along with this particular storyboard, we developed a data mining technology to estimate chances for success for the students following...
Due to the geographical distribution, different cognitive capacity, and different domain competency of workers or learners, many misunderstandings can occur during distributed remote collaboration, leading to inefficient discussions and undesired results. To make remote collaboration more efficient and dependable, enriching cyberspace through adaptively utilizing is proposed and evaluated. This assesses...
In order to clarify the effect of oxide ion vacancy on electronic structure of BaBiO 3−δ , electrical conduction property at high temperature under various oxygen partial pressures, P(O 2 ), was investigated. At 775°C, in dependence of electrical conductivity on logP(O 2 ) three phases were observed, showing agreement with oxygen nonstoichiometry data measured with thermogravimetry...
Large-scale distribution network simulation applicable to supply-chain management requires to solve hundreds of time-constraint large-scale (max 2000 cities) traveling salesman problems (TSP) within interactive response time, with practicable optimality. To meet this requirement, a selfish-gene tolerant type GA is proposed. Here, each gene of an individual satisfies only its constraints selfishly,...
To optimize large-scale distribution networks, solving about 1000 middle scale (around 40 cities) TSPs (traveling salesman problems) within an interactive length of time (max. 30 seconds) is required. Yet, expert-level (less than 3% of errors) accuracy is necessary. To realize the above requirements, a multi-world intelligent GA method was developed. This method combines a high-speed GA with an intelligent...
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