During the current worldwide COVID-19 pandemic, older adults are particularly excluded from in-person society. This essay presents discussions around self-perceptions and external perceptions of aging during this health crisis. Viewing primarily as members a risk group hinders recognition individuality millions worldwide. Social workers should remain aware diverse aspects when working with pand...

Abstract— People's lives are clearly being transformed by the impact of emerging technologies. Everything around us has become smart in last few years. Smart phones, cars, and watches have ubiquitous today's culture. A mirror, for example, is a technology that turns an ordinary mirror into gadget. The depicts beautiful interface seeing information one's own reflection. It two modes operation: s...

An intrusion behavior recognition method based on deep learning is proposed in this paper order to improve the accuracy of raster perimeter behavior. The Mach–Zehnder fiber optic interferometer was used collect external vibration signal sensing unit, capture signal, use cross-correlation characteristic obtain minimum frame length and preprocess according strength. signals were superimposed seve...

background with the growing interest in long bone distraction several types of distractors have been introduced; all have the same principle of an outer structure which acts like a scaffold and the distracting mechanism is a separate device which is mounted on this outer structure. objectives we have used a simple and very light weight external fixator we designed and discuss the results of dis...

The use of hand gesture provides an attractive alternative to cumbersome interface devices for human-computer interactio n(HCI). Many methods for hand gesture recognition using visual analysis have been proposed such as syntactical analysis, neural network(NN), Hidden Markov Model(HMM) and so on. In our research, a HMM is proposed for alphabetical hand gesture recognition. In the preprocessing ...

The second phase of the “EMOTION-II” model (“Emotional Model Of the Theoretical Interpretations Of Neuroprocessing”) introduces the theoretical framework for the evolution of emotion as an internal measure of modeling errors (discrepancy signals) for assessing the degree-of-fit (congruency) between internal model and external world in autonomous control systems. It is derived based on the inevi...

Many document representations are in use. Each representation explicitly encodes different aspects of a document. External document representations, using standard file formats (such as JPEG, postscript, HTML, LaTeX), are used to communicate document-data between programs. Internal document representations are used within document analysis or document production software, to store intermediate ...

Artificial neural networks (ANNs) allow users to improve forecasts through pattern recognition. The purpose of this paper is to validate ANNs as a detection tool in four financial markets. This study investigates whether market inefficiencies exist using ANN as a model. It also investigates whether additional publicly available information can provide investors with a trading advantage. In fina...

Adaptation of language models to obtain better parameters for the topics addressed by the spoken documents to be recognized has been a key issue for speech recognition. In this paper, we propose to collect existing as well as derived external resources for improved language model adaptation. The derived external resources are those retrieved based on the baseline transcriptions for the input sp...

The Transformer has quickly become the dominant architecture for various pattern recognition tasks due to its capacity long-range representation. However, transformers are data-hungry models and need large datasets training. In Handwritten Text Recognition (HTR), collecting a massive amount of labeled data is complicated expensive task. this paper, we propose lite transformer full-page multi-sc...