During recent years, emerging multimedia processing techniques with information security services have received a lot of attention. Among those trends are steganography and steganalysis. Steganography aim to hide the existence secret messages in an innocent-looking medium, where medium before after embedding looks symmetric. Steganalysis breach detect presence invisible messages. In modern world, digital such as audio, images, video became popular widespread, which makes them perfect...

Abstract Purpose: The objective of this research is to assess the current level knowledge and adoption robot-assisted surgical techniques among otolaryngologists in Saudi Arabia. aims uncover areas improvement that could inform future educational initiatives resource distribution field. Methods: An online survey comprising 29 questions was distributed otolaryngology–head-and-neck surgery (ORL-HNS) trainees specialists at various levels participants were contacted through Otorhinolaryngology...

Technology is changing our way to experience education from one-dimensional (physical) multi-dimensional (physical and virtual) using a diversity of resources such as web-based platforms (eLearning), videoconferences, eBooks innovative technologies (e.g. mixed reality, virtual worlds, immersive technology, etc.). This represents bigger opportunities for universities educational institutions collaborate with partners around the world be part today's knowledge economy. also enables greater...

The area of ambient-assisted living (AAL) focuses on developing new technologies, which can improve the quality life and care provided to elderly disabled people. In this paper, we propose a novel system based 3-D RGB-D vision sensors interval type-2 fuzzy-logic-based systems (IT2FLSs) employing big bang-big crunch algorithm for real-time automatic detection summarization important events human behaviors from large-scale data. We will present several real-world experiments, were conducted...

The concept of Computing With Words (CWW) was coined by Zadeh to be a methodology in which words are used instead numbers for computing and reasoning. Since then, there have been various angles interpret CWW. However, is need tackle the problem modeling `word' fuzzy sets, one building blocks CWW concept. In this paper, we investigate from perspective parts speech English language. We point out that exists hierarchical analogy between linguistic variable system. other words, system can...

Advances in technology are enabling different and interesting ways of experiencing education outside the traditional classroom. For example using network it is possible for people to follow courses remotely via technologies such as eLearning, pod casts 3D virtual learning environments. This paper describes research towards integration some cutting edge concepts, mixed reality, design, cloud environments that we have utilised form a novel InterReality portal associated pedagogical model. Our...

Ambient Intelligence (AmI) is a vision that refers to an information technology paradigm where physical environment `aware' of its human occupants' presence/context and sensitive, adaptive responsive their needs. Physical environments are augmented with AmI called Intelligent Environments (AIEs) which deemed be intelligent because the system should able recognise occupants, reason context program itself meet needs by learning from behaviour [1]. However, there need also deal real-world...

Smart homes, smart cars, classrooms are now a reality as the world becomes increasingly interconnected by ubiquitous computing technology. The next step is to interconnect such environments, however there number of significant barriers advancing research in this area, most notably lack available standards and tools etc. A possible solution use simulated spaces, nevertheless realistic strive make them, they are, at best, only approximations real with important differences utilising idealised...

The signals acquired in brain-computer interface (BCI) experiments usually involve several complicated sampling, artifact and noise conditions. This mandated the use of strategies as preprocessing to allow extraction meaningful components measured be passed along further processing steps. In spite success present methods have improve reliability BCI, there is still room for improvement boost performance even more.A new method denoising P300-based data that allows better with lower number...

With the unprecedented growing demand for communication between Internet of Things (IoT) devices, upcoming 5G and 6G technologies will pave path to a widespread use ultra-reliable low-latency applications in such networks. However, with most sensitive data being transmitted over wireless links, security, privacy trust management are emerging as big challenges handle. IoT vary, from self-driving vehicles, drone deliveries, online shopping, smart cities, e-healthcare robotic assisted surgery,...

Video monitoring can provide vital context awareness information from indoor intelligent environments where privacy is not a limitation. However, there need to develop linguistic summarization tools which are capable of summarizing in layman language the interest within long video sequences. The key module enable human activity/behaviour recognition. behavior recognition an important yet challenging task due uncertainty, activity ambiguity, and uncertain factors such as position, orientation...

In this paper, we present an approach to interpret the Computing With Words (CWWs) paradigm merging advancements from neuroscience, psychology and artificial intelligence. The presented will incorporate fuzzy composite concepts (FCCs), a special case of linguistic weighted average (LWA) case-based reasoning (CBR). focus paper is on inception CWWs bridge gap between human machine investigation FCCs processing performed using linear general type-2 (LGT2) interval (IT2) sets. results show that...

In a broad sense, the Computing With Words (CWW) vision tries to tackle problem of human intelligence by taking mind as role model. A key element facilitate mapping human's brain reasoning into computer processes is identify step-by-step formation perceptual judgments. this paper, we present an approach that employs general type-2 fuzzy logic which enables perceptions be dynamically modeled and adapted depending on experience. This can regarded step enable CWW vision. We will real-world...

Increasing needs for secure transaction processing using reliable methods makes the biometric overcome some of limitations traditional personal identification technologies. An online signature is a behavioral that still has to be applicable like other because its nature. So, new algorithms and solutions are required. This paper presents technique by combining Back-propagation Neural Network (BPNN) probabilistic model drawbacks single individually. The used classify global features, while...

The term “mobile learning” (or “m-learning”) refers to using handheld phones learn and wireless computing as a learning tool connectivity technology. This paper presents explores the latest mobile platform for teaching studying programming basics. M-Learning was created platform-independent approach target largest available number of learners while reducing development maintenance time effort. Since code is completely shared across devices (iOS, Android, Windows Phone), students can use any...

Ubiquitous Computing asserts that technology will soon be pervasive in our lives. But how organized and made available to us as we roam through the many spaces of daily lives? How see use which have a right to, more importantly, lack access rights enforced? These are questions been raised following previous research projects. They become significant concept intelligent environments scales-up beyond boundaries four walls. In this paper propose formal model form roadmap for some upcoming...

Human behaviour recognition systems hold the possibility of performing a variety important assistive and management tasks in development ambient intelligent environments. However, traditional non-fuzzy approaches for using machine vision mostly rely on assumptions such as known spatial locations temporal segmentations or indispensably employ computationally expensive sliding window search through spatio-temporal volume. Hence, it is difficult methods to scale up environments handle...