Takao Terano

ORCID: 0000-0002-2364-6950
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Complex Systems and Time Series Analysis
  • Opinion Dynamics and Social Influence
  • Evolutionary Algorithms and Applications
  • Multi-Agent Systems and Negotiation
  • Evolutionary Game Theory and Cooperation
  • Financial Markets and Investment Strategies
  • Complex Network Analysis Techniques
  • Metaheuristic Optimization Algorithms Research
  • Economic theories and models
  • Complex Systems and Decision Making
  • Business Strategy and Innovation
  • Innovation Diffusion and Forecasting
  • Semantic Web and Ontologies
  • Recommender Systems and Techniques
  • Stock Market Forecasting Methods
  • Scheduling and Optimization Algorithms
  • AI-based Problem Solving and Planning
  • Data Mining Algorithms and Applications
  • Banking stability, regulation, efficiency
  • Consumer Market Behavior and Pricing
  • Business Process Modeling and Analysis
  • Digital Platforms and Economics
  • Service and Product Innovation
  • Consumer Retail Behavior Studies
  • Game Theory and Applications

Chiba University of Commerce
2018-2024

Tokyo Institute of Technology
2010-2019

Tokyo University of Technology
2018

University of Twente
2018

National Institute of Advanced Industrial Science and Technology
2018

Tokyo University of Science
2017

Keio University
2011-2016

Yamaguchi University
2014-2016

Sony Computer Science Laboratories
2009

Okayama University
2007

Radio frequency identification has been developed and used in many applications the real world. Due to shared wireless channel between tags reader during communication, tag collision arbitration is a significant issue for reducing communication overhead. This paper presents novel anti-collision algorithm named New Enhanced Anti-Collision Algorithm (NEAA) using counters stack reduce probability of efficiently make it possible identify multiple passive timeslot. The upper bound total timeslots...

10.1109/tii.2009.2033050 article EN IEEE Transactions on Industrial Informatics 2009-11-17

Using fuzzy measures and integrals, the paper presents a mathematical model of learning which is able to learn through information. The characteristics are studied theoretically in numerical examples, where compared with an ordinary Bayesian model. problem seeking extremum multimodel objective function given as example.

10.1108/eb005448 article EN Kybernetes 1977-03-01

The use of fuzzy logic is proposed for the method failure diagnosis under environment. distinctive points are description relationship between causes and symptoms by a set relational inequalities solutions inverse problem these relations. Recently, to solve equation has been E. Sanchez et. al,. A new algorithm developed With consideration on existence condition solution. scheme illustrated considering car troubles. results obtained from some numerical examples show that present would be...

10.1109/cdc.1977.271521 article EN 1977-12-01

Rumor detection in streaming social media is a significant but challenging problem. In this paper, we present method to identify rumor patterns the environment. Patterns which combine both structural and behavioral properties of are firstly proposed distinguish false rumors from valid news. A novel graph-based pattern matching algorithm also described detect data. Compared within Twitter data non-rumors, our selected contain distinct short-term series.

10.1109/bigdata.2015.7364071 article EN 2021 IEEE International Conference on Big Data (Big Data) 2015-10-01

In the area of intelligent systems, research about recommender systems is a critical topic and has been applied in many fields. this paper, we focus on TV program systems. We give an overview literature propose smart social framework for Smart TV, which integrates Internet Web 2.0 features into television sets set-top boxes. addition, also address several issues, such as accuracy, diversity, novelty, explanation group recommendations, are important building system. The proposed could be used...

10.1016/j.procs.2013.09.136 article EN Procedia Computer Science 2013-01-01

This brief presents a fuzzy decoupling control (FDC) system to the top pressure of blast furnace (BF). First, dynamic mathematical model is carried out based on analysis wet-type top-gas cleaning and recovery BF. Then, considering characteristics nonlinearity strong coupling in model, an FDC that consists two PID controllers, controller, linear correction adjusters presented. Finally, after effectiveness this method was verified by simulations, it implemented real-world The results show kept...

10.1109/tcst.2018.2862859 article EN IEEE Transactions on Control Systems Technology 2018-08-16

10.1016/j.physa.2008.01.059 article EN Physica A Statistical Mechanics and its Applications 2008-02-06

Abstract: We present a hybrid model named HRKPG that combines the random‐key search method and an individual enhancement scheme to thoroughly exploit global ability of particle swarm optimization. With genetic algorithm, we can expand area exploration individuals in solution space. scheme, enhance optimization algorithm for travelling salesman problem. The objective problem is find shortest route starts from city, visits every city once, finally comes back start city. method, chromosome. On...

10.1111/j.1468-0394.2010.00517.x article EN Expert Systems 2010-06-23

10.1023/a:1009638423221 article EN Computational and Mathematical Organization Theory 1999-01-01

This paper proposes an agent-based model to investigate the role of parental relationships and intergenerational reproduction cultural capital understand long-term professional success elite family line during Ming Qing dynasties in imperial China. We implemented by a new method: The pattern-oriented inverse simulation (POIS) method, where multiple patterns observed are employed guide design test alternative assumptions as strategies. A genetic algorithm (GA) based technique is applied fit...

10.1142/s0219525912500385 article EN Advances in Complex Systems 2012-05-28
Coming Soon ...