Noriaki Muranaka

Color design support system considering color harmony

Color design is very important for a product design. In this paper, we propose a system which aims to support such a color design. Proposed system is composed of 5 parts, such as the part which evaluates the harmony of colors, the color combining part, color scheme image judging part, image word output part and lastly image comparison part. First, the system requires the user to input a color and his preferring image of color scheme including his inputting color with image keyword. Next, the system selects colors from the Munsell color database, which are in harmony with the color inputted into the system. Then, the system builds color schemes to combine the color inputted by the user with the colors selected from the database by the system. Finally, images of the color schemes are evaluated and outputted the color combinations whose images accord with the image keyword which the user inputs into the system. Experimental result shows that effective judgments of color harmony and color image are executed and we can get some good color schemes by the system.

A ternary systolic product-sum circuit for GF(3/sup m/) using neuron MOSFETs

In this paper, we present a ternary systolic product-sum computation circuit for GF(3/sup m/) using voltage-mode neuron MOSFETs. The required subcircuits are discussed which together form a basic cell. The overall design which connects basic cells in a systolic manner, thereby making effective use of pipelining, is shown. SPICE simulations of the central part of the basic cell are presented which demonstrate its proper behaviour. The ternary circuit for GF(3/sup 2/) is compared to the binary circuit for GF(2/sup 3/) and is shown to be superior both in terms of the number of transistors and the number of connections.

Multiple-valued decision diagrams with symmetric variable nodes

Symmetry is an important property of logic functions. In this paper, we introduce symmetric variable nodes, and investigate how they can be used to advantage in decision diagrams. We consider totally-symmetric and partially-symmetric functions as well as functions with partial symmetries. The identification of symmetric variable nodes is investigated as is the uniqueness of the resulting representation. A principal advantage of the new node type is that it often reduces the depth of the decision diagram. We consider the effect this has on the circuits that can be directly identified from decision diagrams.

Interactive tabu search vs. interactive genetic algorithm

We propose an interactive tabu search (ITS) to be used for the development support of a product that fits a humans feeling. Interactive evolutionary computation (IEC) is one of the technologies used in the development support of products that fit a humans feeling using a computer and person undergoing a communication. The interactive generic algorithm (IGA) is generally used in the IEC. A major problem with the use of the IEC is the increased burden on the IEC user to evaluate multiple solution candidates. Using the ITS instead of the IGA may reduce this burden, because the ITS user chooses only his most favorite solution candidate among multiple solution candidates. We performed a comparison of the search performance using simulations with the ITS and IGA. As a result of this simulation, the search performance of the ITS exceeded that of the IGA by a range from 2% to 10%.

An evolutionary fuzzy color emotion model for coloring support systems

In this study, we improved the coloring support system that was proposed in our previous research. The previous system could advise color combinations for clothing. The user enters some emotional keywords, such as ldquocasualrdquo and ldquopretty,rdquo which are impressions put forth by colors, and the system retrieves color combinations that seem to suit the keyword from a color database. The proposed system has many fuzzy color emotion models, which are controlled by parameters for defining membership functions or fuzzy rules. These models are evolved using interactive genetic algorithms, to adapt them to the userpsilas particular emotional responses, because human reactions vary for each individual. This paper proposes a method for the advanced evolution of the fuzzy color emotion model. This method supports co-evaluation of color combinations, which exhibits a better performance in evolving models compared to the previous method.

Grading Evaluation Method in Character Drawing Study Support System

We proposed already a construction of grading evaluation method (GEM) in character drawing study support system of the self-education type for beginners. However, our proposed system had an uncertainty about the grading item, and had the problems which can not be correctly evaluated about the foundation drawing ability and the progress degrees. In this research, we propose the GEM which applied multiple-valued logic. This GEM is highly reliable and it is near the human sense.

Decimal addition and subtraction units using the p-valued decimal signed-digit number representation

Parallel addition and subtraction of two numbers with signed-digit number representation can be performed in constant time. A signed-digit representation for radix r=10 (SD10R) is presented, and the usefulness of asymmetrical SD10R is considered. The authors propose p(qk. . .q1)-valued SD10Rs in which p is represented as a combination of qk to q1. They also describe a p(q2q1)-valued SD10R addition and subtraction unit in which p is large. Simulation data for typical SD10Rs are compared.<<ETX>>

Penmanship learning support system: feature extraction for online handwritten characters

This paper proposes a feature extraction method for online handwritten characters for a penmanship learning support system. This system has a database of model characters. It evaluates the characters a learner writes by comparing them with the model characters. However, if we prepare feature information for every character, information must be input every time a model character is added. Therefore, we propose a method of automatically extracting features from handwritten characters. In this paper, we examine whether it correctly identifies the turns in strokes as features. The resulting extraction rate is 80% and in the remaining 20% of cases, it extracted an area near a turn.

A Study on Neighborhood and Temperature in Multi-step Crossover Fusion for Tree Structure

Multi-step crossover fusion (MSXF) is one of promising crossover methods for solving combinatorial optimization problems. MSXF performs multi-step local search from a parent in the direction approaching the other parent. In the transaction process of the local search, a neighborhood solution is stochastically accepted as the next solution, according to Metropolis criterion. To improve the search performance of MSXF, a sophisticated neighborhood structure and an appropriate scheduling of temperature parameter are required. In our previous work, we proposed an improved neighborhood generation method that promotes the recombination of parents’ preferable characteristics for tree structures. In this paper, we validate the efficacy of the proposed method and evaluate the temperature scheduling in several symbolic regression problem instances.

A crowd simulation for the flow of students in school building of Kansai university

Crowds in the school building are often observed because there are many students on weekdays in campus. Especially, corridors and stairs in the school building are significantly crowded due to flow of students between a break. The crowd accident might occur in such a crowded place, therefore we should quantitatively perceive the degree of crowding and discuss some kind of measures to reduce overcrowding at there. In this research, we evaluate the congestion of student at some locations where crowd accidents likely occur in a break between classes, by simulating the flow of students in the school building of Kansai University. First, we construct a model representing the school building by considering the connection topology of lecture rooms, corridors, stairs and entrances. On the basis of crowd simulation on the model, we then analyze the flow of students and estimate the level of congestion at locations.