The Simple Genetic Algorithm (SGA) is applied more and more extensively since it was proposed by J. H. Holland [1] in 1970’s. SGA is an optimization method based on population by emulating the evolvement disciplinarian of the nature. It has showed the great advantage of quick search for optimal solutions while applied in the optimization of single-modal functions. But as we all know many proble...

1.は じめに 近年、交通政策の影響を微視的に捉えるために、個人 レベルでの精緻な交通現象解析の必要性が課題となって いる1)。そこで、本研究ではアクティビティアプローチ の枠組みで個人の1日 の交通行動を記述する交通行動モ デルを構築する。ここでは、まず個人が交通行動を決定 する際の意思決定過程をモデル化する。つぎに、意思決 定過程におけるいくつかの判断を段階的推定モデルで表 現する。このとき、ソフトコンピューティングを利用 し た交通行動記述を試みる。ソフ トコンピューティングは、 経路選択および交通手段選択においてその適用性が確認 されている2),3)。 本研究で検討する段階的交通行動推定モデルの部分 プロセスについては、既存研究で作成されている4-6)。こ の段階的推定モデルの構築のためには、さらに目的地選 択モデルと交通手段選択モデルを作成する必要がある。 本研究ではこれら...

Modal parameter extraction of high speed shafts is of critical importance in mechanical design of turbo-pumps. Due to the complex geometry and peripheral components of turbo-pumps, difficulties can arise in determination of modal parameters. In this study, modal properties of a turbo-pump shaft, was studied by experimental modal analysis, and using different excitation techniques. An innovative...

Gaussian split Ewald (GSE) is a versatile Ewald mesh method that is fast and accurate when used with both real-space and k-space Poisson solvers. While real-space methods are known to be asymptotically superior to k-space methods in terms of both computational cost and parallelization efficiency, k-space methods such as smooth particle-mesh Ewald (SPME) have thus far remained dominant because t...

According to the great importance of safety in aerospace industries, identification of dynamic parameters of related equipment by experimental tests in operating conditions has been in focus. Due to the existence of noise sources in these conditions the probability of fault occurrence may increases. This study investigates the effects of noise in the process of modal parameters identification b...

In this paper, we discuss an extension of split cuts that is based on widening the underlying disjunctions. That the formula for deriving intersection cuts based on splits can be adapted to this case has been known for a decade now. For the first time though, we present applications and computational results. We further discuss extensions of the existing theory with respect to cut strengthening...

3D object detection is a critical task in autonomous driving. Recently multi-modal fusion-based methods, which combine the complementary advantages of LiDAR and camera, have shown great performance improvements over mono-modal methods. However, so far, no methods attempted to utilize instance-level contextual image semantics guide detection. In this paper, we propose simple effective Painting A...