Despite significant advancements in object detection technology, most existing networks fail to investigate global aspects while extracting features from the inputs and cannot automatically adjust based on characteristics of inputs. The present study addresses this problem by proposing a network consisting three stages: preattention, attention, prediction. In preattention stage, framework is se...

Regulatory T cells (T(regs)) play a pivotal role in preventing autoimmunity, graft-versus-host disease (GVHD), and organ graft rejection. We previously showed that either germline or induced SH2 domain-containing inositol 5-phosphatase (SHIP) deficiency in the host abrogates GVHD. Here we show that SHIP deficiency promotes an increase of CD4(+)CD25(+)FoxP3(+) T(regs) and CD4(+)CD25(-)FoxP3(+)"n...

Tyrosine phosphorylation of Shc in response to B cell Ag receptor (BCR) engagement creates binding sites for the Src homology 2 (SH2) domain of Grb2. This facilitates the recruitment of both Grb2. Sos complexes and Grb2. SHIP complexes to the plasma membrane where Sos can activate Ras and SH2 domain-containing inositol phosphatase (SHIP) can dephosphorylate phosphatidylinositol 3,4,5-trisphosph...

The CSA has initiated a feasibility study for a constellation of low-cost small SAR satellites to ensure C-band data continuity beyond RADARSAT-2. The concept involves three satellites with an option of flying up to six satellites. This is to provide operationally SAR imagery for key maritime surveillance applications such as ship detection, oil spill monitoring, and sea ice mapping. Other appl...

This paper concerns fault detection and isolation based on neural network modeling. A neural network is trained to recognize the input-output behavior of a nonlinear plant, and faults are detected if the output estimated by the network differs from the measured plant output by more than a specified threshold value. In the paper, a method for determining this threshold based on the neural networ...

This paper presents a model-based monitoring framework for the detection of fatigue-related crack damages in plate-type structures commonly seen in aluminum ship hulls. The monitoring framework involves vibration-based damage detection methodologies and finite element modeling of continuum plate structures. A Bayesian-based damage detection approach is adopted for locating probable damage areas...

Ferry accidents often occur the result of ship handling difficulty which interfacing human, machine and environment. Therefore, a decision tool model as a comprehensive information system, based on the ship handling difficulty, needs to be developed through the combination of Analytic Hierarchy Process (AHP) and Fuzzy Logic System. The Fuzzy Logic System part consists of ship condition, ship ha...

In this study, basic experiments regarding the wireless sensor network were conducted on a 3,000-ton-class training ship as the first step in applying the ubiquitous technology to a real ship. Various application fields of the technology in terms of the provision of safety and convenience on a ship would be extracted through these experiments. To efficiently adopt the ubiquitous technology for ...

We have previously demonstrated that the NKR repertoire is profoundly disrupted by SHIP deficiency. This repertoire disruption is characterized by receptor dominance where inhibitory signals from 2B4 repress killing of complex targets expressing MHC class I and activating ligands. In this study, we examine the molecular basis of receptor dominance in SHIP-/- NK cells. In this study, we show tha...

Thanks to the excellent feature representation capabilities of neural networks, target detection methods based on deep learning are now widely applied in synthetic aperture radar (SAR) ship detection. However, multi-scale variation, small targets with complex background such as islands, sea clutter, and inland facilities SAR images increase difficulty for To performance, this paper, a novel net...