6D gauge-Higgs unification on T^2/Z_N with custodial symmetry

We investigate the gauge-Higgs unification models compactified on T^2/Z_N that have the custodial symmetry. We select possible gauge groups, orbifolds and representations of the matter fermions that are consistent with the custodial symmetry, by means of the group theoretical analysis. The best candidate we found is 6D SU(3)_C x U(4) gauge theory on T^2/Z_3 and the third generation quarks are embedded into bulk fermions that are the symmetric traceless rank-2 tensor of SO(6).Comment: 38 pages, 1 table, a reference adde

A Periodic Review Inventory Model in a Random Environment

We consider a single product, periodic review inventory model with variable cqacity, random yield, and uncertain demand in a random environment. All model parameters and distributions depend on environmental fluctuations. It is assuumed that the environmental process follows a discrete-time Markov chain. The optimd inventory policy to minimize the total discounted expected cost is derived via dynamic programming. For the finite-horizon model, we show that the objective function is quasi-convex and that the structure of the optimal policy is characterized by a single environmental-dependent critical number for the initial inventory level at each period. Expressions for solving the critical number and the optimal planned ordering are obtained. We further show that the solution for the finite-horizon model converges to that of the infinite-horizon model.

Fundamental Investigation on Design of Tunnel Steel Arch Supports

For the purpose of contributing to a proper design of tunnel supports with steel arches, it is necessary to clarify their behavior under earth pressure. As a first approach, the authors investigated a method to calculate the deformation of, and the stress in, steel supports subjected to earth pressure. Special attention was paid to the treatment of the passive forces induced, the mechanical characteristics of the ends of these supports, as well as the joints of the members. As a result of theoretical investigations followed by experiments, the authors obtained a method that may be used in practice

Extracting discriminative features using task-oriented gaze maps measured from observers for personal attribute classification

We discuss how to reveal and use the gaze locations of observers who view pedestrian images for personal attribute classification. Observers look at informative regions when attempting to classify the attributes of pedestrians in images. Thus, we hypothesize that the regions in which observers’ gaze locations are clustered will contain discriminative features for the classifiers of personal attributes. Our method acquires the distribution of gaze locations from several observers while they perform the task of manually classifying each personal attribute. We term this distribution a task-oriented gaze map. To extract discriminative features, we assign large weights to the region with a cluster of gaze locations in the task-oriented gaze map. In our experiments, observers mainly looked at different regions of body parts when classifying each personal attribute. Furthermore, our experiments show that the gaze-based feature extraction method significantly improved the performance of personal attribute classification when combined with a convolutional neural network or metric learning technique