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This paper proposes interactive decoration design support system introducing interactive evolutionary computation. Evaluation problem existing human can be evaluated synthesizing multi objectives. The proposed system made it importance dividing the human evaluation into two part, which is including regular level of design quality and user's subjective evaluation by affective or Kansei image, and assumed...
Spontaneous communication is an integral part of any workplace as well as everyday life. Most of the spontaneous communications happen over email or chat applications in workplaces that use computer technologies. Frequent use of chat application or email hampers the recipient's workflow and leads to constant interruptions causing task fragmentation. In this paper, we present a receiver oriented interruption-information...
We have developed a rough set model for analyzing an information system in which some conditions as well as decision values, are missing. Current studies have focused mainly on the missing of condition data but seem to ignore the missing of decision data. The common approach is to remove objects with no decision values because such objects are apparently considered fruitless from the decision-making...
Biomédical named entity recognition (BNER) is one of the most essential and initial tasks (discovering relations between biomédical entities, identifying molecular pathways, etc.) of biomédical information retrieval. Although named entity recognition performed well in ordinary text, it still remains challenging in molecular biology domain because of the complex nature of biomédical nomenclature, different...
We investigate the combinatorial effect of evolutionary multi-objective optimization (EMO) with interactive evolutionary computation (IEC). The purposes and combination ways of several presented EMO and IEC researches are different. We evaluated seven combination ways of four EMO objectives given by fitness functions and one IEC objective given by a pseudo-IEC user outputting stable evaluation regardless...
An interactive music composition support system is proposed, which helps users' satisfied musical composition by their repeated performing of subjective evaluation toward candidate of musical pieces generated by the system. In this paper, brain wave information by using hand-held EEG device is applied instead of users' direct manipulation of partial evaluation of musical pieces of the proposed system,...
The original rough set theory deals with precise and complete data, while real applications frequently contain imperfect information. A typical imperfect data studied in rough set research is the missing values. Though there are many ideas proposed to solve the issue in the literature, the paper adopts a probabilistic approach, because it can incorporate other types of imperfect data including imprecise...
The original rough set theory deals with precise and complete data, while real applications frequently contain imperfect information. A typical imperfect data studied in rough set research is the missing values. Though there are many ideas proposed to solve the issue in the literature, the paper adopts a probabilistic approach, because it can incorporate other types of imperfect data including imprecise...
Spike-timing-dependent plasticity is considered as the key underline mechanism which processes the signals in brain. With the introduction of spike-timing dependent plasticity as a long-lasting synaptic modification, neural networks have been driven to era of processing information on the basis of relative timing between presynaptic and postsynaptic action potentials. One of the main drawbacks that...
This paper discusses some extension of Rough set approach in Incomplete decision tables to deal with a problem of tolerance relation. Those approaches have been widely used to discover knowledge in incomplete information system. However, they also have their own limitation. In order to get more information from the relationship among objects, we propose a model called Parameterized Probabilistic Rough...
Unconstrained growth of synaptic connectivity and the lack of references to synaptic depression in Hebb's postulate has diminished its value as a learning algorithm. While spike timing dependent plasticity and other synaptic scaling mechanisms have been studying the possibility of regulating synaptic activity on neuronal level, we studied the possibility of regulating the synaptic activity of Hebb's...
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