Shinji Tomiyama

Modeling and analysis of decision making problem for mitigating natural disaster risks

Abstract In this paper, we show that a value function under risk is useful to model low probability and high consequence events like earthquakes for which the expected utility theory is inadequate. First, we assume alternatives to improve buildings, some scenarios of earthquakes, costs to improve buildings, probability of death and injury and cost of restoring the buildings damage for each scenario. Then we show that the value function under risk is an appropriate approach to model and analyze a decision making process with low probability and high consequence events.

On environmental tax for total emission control of carbon dioxide

Abstract This paper deals with how to evaluate the effectiveness of environmental tax, that is, carbon tax and energy tax for regulating the carbon dioxide emissions. For this purpose we mainly deal with a primal problem and its dual problem of dynamic linear programming model. The primal problem is formulated by extending Leontief type input-output model and the basic idea of commodity stocks and antipollution stocks. It represents the balance of materials. The dual problem is obtained and interpreted as cash balance. It is clarified in this paper whether the carbon tax and energy tax are effective to decrease the total amount of carbon dioxide emissions.

A Two-phase Heuristic for Crane Scheduling in Steel Slab Yards

Abstract In this paper, a two-phase heuristic algorithm is proposed for an expanded crane scheduling problem that combines a Resource Constraint Project Problem and a Block World Problem in order to develop a guidance system for minimizing crane handlings in slab yards of steel works. Due to its NP hardness, it is difficult to obtain the theoretically optimal solution of the problem. Therefore, a two-phase heuristic algorithm was developed to obtain an approximate solution in a practical calculation time. The first phase in this approach utilizes a genetic algorithm that is employed to solve a relaxed scheduling problem of rearranging steel slabs in an approximate manner. Next the partial solution is iterated upon by a rule-based algorithm to obtain a feasible solution. Computational experiments are conducted with operation data of JFE Steel, allowing a comparison to be made between actual and theoretical crane handling operations. The resulting data shows that this papers proposal can reduce the number of handlings by 30%.

Systems Analysis for Evaluating the Effectiveness of CarbonTax and Energy Tax

This paper deals with how to evaluate the effectiveness of carbon tax and energy tax for regulating the carbon dioxide emissions. For this purpose we mainly deal with a primal problem and its dual problem of dynamic linear programming model. The primal problem is formulated by extending Leontief type input-output model and the basic idea of commodity stocks. It represents the balance of materials. The dual problem is obtained and interpreted as cash balance. It is clarified in this paper whether the carbon tax and energy tax are effective to decrease the total amount of carbon dioxide emissions.

New pruning algorithm for Recurrent Neural Networks

Abstract It is a very important problem how to decide the structure and size of an artificial neural network because the computational quantity of training and the network performance depend on them. In previous studies, there have been several methods proposed to solve the problem but almost all of them are empirical. In this paper, a new pruning algorithm for a RNN (Recurrent Neural Network) based on a theoretical method of linear model reduction is proposed- In the proposed method, the theoretical model reduction method is applied to the linear subsystem composed of units behaving like linear systems in the RNN

Generation of Fault Detection Model for Programmable Controller Based Manufacturing Systems

This paper describes a method of generating the real-time fault detection model for manufacturing systems controlled by PC (Programmable Controller) automatically using Complementary-places Petri nets. To generate a fault detection model, we use two kinds of information : logging data of limit switches and ladder programs. By using the generated model, we can detect failures in the PC based manufacturing systems. Furthermore, we evaluate the method proposed in this paper by applying it to fault detection of a virtual production system.

Proposal for a Beat Oscillating Superconducting Quantum Interference Device

We describe a new dc-superconducting quantum interference device (SQUID) circuit of the FM type, which has a large coefficient for converting an applied magnetic flux into a frequency of MHz band or a lower band. The circuit consists of a SQUID amplifier composed of two stages, formed by a superconducting weak link and two dc-SQUID elements with nonhysteretic characteristics. In the first stage, the weak link and dc-SQUID elements are connected in parallel and operated by a common bias voltage. Since the respective elements oscillate with high frequencies by the ac Josephson effect, the two frequencies interact with each other, so that, the first stage generates a beat signal of a lower frequency. In the second stage, the other dc-SQUID element with a intrinsic flux gain enhances the beat signal generated during the first stage. A theoretical analysis of the circuit with computer simulation shows that the beat frequency is a periodical function of the magnetic flux, and the SQUID amplifier with two stages can improve the flux sensitivity.

Evaluating the Effectiveness of Carbon Tax for Total Emission Control of Carbon Dioxide

Abstract This paper deals with how to evaluate the effectiveness of carbon tax (environmental tax) for regulating the carbon dioxide emissions. For this purpose we mainly deal with a primal problem and its dual problem of dynamic linear programming model. The primal problem is formulated by using Leontief type input-output model and the basic idea of commodity stocks. It represents the balance of materials. The dual problem is obtained and interpreted as cash balance. It is clarified in this paper whether the carbon tax is effective to decrease the total amount of carbon dioxide emissions.

Decision Analysis for Preventing Natural Disaster Risks

Abstract In this paper, we show that a value function under risk is useful to model low probability and high consequence events like earthquake for which expected utility theory is inadequate. First, we assume alternatives to improve buildings, some scenarios of earthquake, costs to improve buildings, probability of death and injury and cost of restoring building‘s damage for each scenario. Then we show that the value function under risk is an appropriate approach to model and analyze decision making process with low probability and high consequence events.

Scheduling Methods for Lot Production in Multivolume JIT Production Systems

Abstract This paper deals with scheduling methods in JIT Production that includes lot processes. In general, the delays often occurs in multivolume JIT production systems that include lot processes, because set-up time is increased in the multivolume JIT production. To cope with the difficulty, we propose three scheduling methods to decrease delays and the work-in-process-inventory in lot processes. Furthermore, we evaluated the methods by computer simulations.