Tokyo Metropolitan Police Department

In order to detect latent fingerprints that could be damaged by liquid or powder reagents, non-destructive processes such as gaseous reagents have been developed. In this report, we propose the use of fine mist generated when hot vapor of high-boiling-point liquids is rapidly cooled by surrounding air for fingermark detection. Octyl acetate (OA), 2-phenoxyethanol (2PE), and methyl decanoate (MD) were found to efficiently produce mist when heated to 230°C. By combining these liquids with p-dimethylaminocinnamaldehyde (DMAC) and cyanoacrylate (CN), our team demonstrated effective fluorescence staining of cyano-treated fingermarks using DMAC/OA misting or DMAC/2PE misting, and one-step fluorescence detection of latent fingermarks without cyanoacrylate treatment using DMAC/OA/CN misting or DMAC/MD/CN misting. Fingermark fluorescence was efficiently observed by excitation with a blue LED light (max. wavelength 470 nm) equipped with an interference filter and passing through a 520 nm long-pass filter. We successfully obtained fluorescent images from fingermarks on several substrate materials using the developed misting method.

Because repetitive high strain caused by complicated deformation due to traffic load leads to fatigue damage in an orthotropic steel deck, reinforcement methods that suppress deformation are effective as a countermeasure. In Japan, a steel fiber–reinforced concrete (SFRC) pavement is often used as reinforcement to suppress deformation by improving the stiffness of the deck plate of the orthotropic steel deck. To appropriately evaluate the suppression of deformation, it is important to compare the deformation before and after reinforcement. In this study, the reinforcement effects of an SFRC pavement were verified based on visualizations of the deformation of a trough rib of an in-service orthotropic steel deck bridge before and after reinforcement by such a pavement. The visualization results showed that the deformation of the trough rib midway between the transverse ribs decreased after reinforcement, and the strain ranges at the weld joints between the deck plate and the trough rib decreased by approximately 18.5%–31.1%. On the other hand, at the intersection of the transverse rib, it was confirmed that the rotations of the lower flange of the trough rib increased after reinforcement. Accordingly, as inferred from the visualization results for the trough rib, the strain range of the web of the trough rib on the left side at the upper slit and that of the deck plate on the right side at the upper slit after reinforcement increased by approximately 10.6% and 47.5%, respectively.

atlas.brussels est un outil de géovisualisation interactive en ligne qui permet de questionner l’extension spatiale et la fragmentation interne de l’aire métropolitaine bruxelloise. Pour ce faire, l’outil se focalise de manière originale sur des réseaux d’interaction spatiale appréhendés à la fois à l’échelle nationale et métropolitaine. Parmi les diverses composantes considérées figurent les déplacements de personnes (notamment domicile-travail), les communications (notamment les appels téléphoniques) ou encore les échanges économiques (notamment par le fret routier). atlas.brussels permet pour cela de rassembler, compléter, étendre et valoriser des travaux de recherche sur l’aire métropolitaine bruxelloise, et reste ouvert à l’intégration d’autres jeux de données.

In keeping with recent advances of artificial intelligence and relevant technical developments, online signature verification demands lower calculation cost and higher security, and, systems that meet these criteria without deteriorating performance are needed. In response to the described need, this study proposes a novel, single-template strategy for a function-based approach to online signature verification. Specifically, to obtain an effective single template while preserving intra-user variability between all reference samples, we adopt dynamic time warping (DTW) barycenter averaging. Then, by using the mean template, we calculate both DTW from univariate time series and DTW from multivariate time series. After that, to boost the discriminative power, we apply a weighting scheme using random forests to efficiently combine the two types of DTW. The experimental results confirm the effectiveness of the proposed method for online signature verification using the popular SVC2004 Task2 dataset.

In this dissertation, we develop a Bayesian analysis of regression models for correlated binary data in the presence of covariates, including the case with replicates. We consider probit and logistic regression models for correlated binary data assuming random effects with a mixture of normal distributions, since this model have great flexibility to the fitted for correlated binary data. We also present some considerations for the case with replicates. We assume informative prior distributions for the parameters of the model 6.3.9 Aplicao do Modelo 12 97 6.3.10 Comparao dos Modelos 10, 11 e 12 99