The Direct Linearization Method (DLM) for tolerance analysis of 3-D mechanical assemblies is presented. Vector assembly models are used, based on 3-D vector loops which represent the dimensional chains that produce tolerance stackup in an assembly. Tolerance analysis procedures are formulated for both open and closed loop assembly models. The method generalizes assembly variation models to incl...

The goal of the visual correspondence problem is to establish a connectivity pattern (a mapping) between two images such that features projected from the same scene point are connected. Dynamic link matching (DLM) is a self-organizing dynamical system to establish such connectivity patterns for object recognition, but with rather naturally given simple interactions between pattern elements, its...

This paper focuses on feature combination approaches for discriminative language models (DLMs). DLM is a feature-based log-linear language modeling approach where the feature parameters are estimated discriminatively. DLM allows for easy integration of various knowledge sources into language modeling. Choosing the proper strategy when combining features coming from different information sources...

Song learning in birds requires a basal ganglia-thalamo-pallial loop that contains a calyceal GABAergic synapse in the thalamus. Information processing within this circuit is critical for proper song development; however, it is unclear whether activation of the inhibitory output of the basal ganglia structure Area X can drive sustained activity in its thalamic target, the medial portion of the ...

Abstract Background Sepsis is a life-threatening organ dysfunction and major healthcare burden worldwide. Although sepsis medical emergency that requires immediate management, screening for the occurrence of difficult. Herein, we propose deep learning-based model (DLM) using electrocardiography (ECG). Methods This retrospective cohort study included 46,017 patients who were admitted to two hosp...

•A DLM was able to classify five of the most common STS subtypes from histology alone.•When aided by DLM, pathologists were more accurate, faster, and certain in their diagnosis.•A similar predict disease-specific survival status subtype.•The DLM's prediction an independent prognostic factor.•New image features associated with could be identified. BackgroundClinical management soft tissue sarco...

Artificial intelligence (AI) techniques play a vital role in the evolving growth and rapid development of smart cities. To develop environment, enhancements to execution, sustainability, security traditional mechanisms become mandatory. Intrusion detection systems (IDS) can be considered an effective solutions achieve environment. This article introduces intrusion using chaotic poor rich optimi...

Abstract Cold thermal energy storage is an active method for reducing the peak electrical demand and electricity consumption of air conditioners. This paper investigates two different cases: partial operating mode–load levelling (POM–LL) demand-limiting mode (DLM). 4E (energy, exergy, economic, environment) analyses along with a multi-objective optimization process based on genetic algorithm ap...

Two methods for performing statistical tolerance analysis of mechanical assemblies are compared: the Direct Linearization Method (DLM), and Monte Carlo simulation. A selection of 2-D and 3-D vector models of assemblies were analyzed, including problems with closed loop assembly constraints. Closed vector loops describe the small kinematic adjustments that occur at assembly time. Open loops desc...

In passerine songbirds, the lateral portion of the magnocellular nucleus of the anterior neostriatum (LMAN) plays a vital role in song learning, possibly by encoding sensory information and providing sensory feedback to the vocal motor system. Consistent with this, LMAN neurons are auditory, and, as learning progresses, they evolve from a broadly tuned initial state to a state of strong prefere...