Journal of Ambient Intelligence and Humanized Computing

http://link.springer.com/journal/12652

List of Papers (Total 73)

Q-Rapids framework for advanced data analysis to improve rapid software development

The quality of software, in particular developed rapidly, is quite a challenge for businesses and IT-dependent societies. Therefore, the H2020 Q-Rapids project consortium develops processes and tools to meet this challenge and improve the quality of the software to meet end-users requirements and needs. In this paper, we focus on data analytics that helps software development...

Tool-supported design of data aggregation processes in cloud monitoring systems

Efficient monitoring of a cloud system involves multiple aggregation processes and large amounts of data with various and interdependent requirements. A thorough understanding and analysis of the characteristics of data aggregation processes can help to improve the software quality and reduce development cost. In this paper, we propose a systematic approach for designing data...

The interaction type approach to relationships management

One important paradigm proposed in literature by the scientific community that advocates the viable system approach is the structure-system dichotomy for the capability to simplify the investigation of a phenomenon and recognize its scope and implications. The purpose of this paper is to provide a contribution to the debate which concerns the structure-system approach introducing...

Ambient intelligence middleware architecture based on awareness-cognition framework

Ambient Intelligence refers to environments that consisting of smart sensor devices that can sense and respond to the existence of people. Through context awareness, ambient intelligence may deliver accurate detection of a user’s situation, predict future events, and support real-time decision making that requires intelligent analysis of large amounts of context data gathered...

A tailored smart home for dementia care

Dementia refers to a group of chronic conditions that cause the permanent and gradual cognitive decline. Therefore, a Person with Dementia (PwD) requires constant care from various classes of caregivers. The care costs of PwDs bear a tremendous burden on healthcare systems around the world. It is commonly accepted that utilising smart homes (SH), as an instance of ambient...

Affective state detection via facial expression analysis within a human–computer interaction context

The advancement in technology indicates that there is an opportunity to enhance human–computer interaction by way of affective state recognition. Affective state recognition is typically based on passive stimuli such as watching video clips, which does not reflect genuine interaction. This paper presents a study on affective state recognition using active stimuli, i.e. facial...

IoT device security based on proxy re-encryption

It appears that interest in the Internet of things (IoT) has recently reached its peak, with a great deal of focus from both the private and public sectors. IoT, a technology that enables the exchange of data through linkage among all objects surrounding the user, can create new services. Data communication among objects is not limited to personal information, but can also...

Remote patient monitoring: a comprehensive study

Healthcare is a field that is rapidly developing in technology and services. A recent development in this area is remote monitoring of patients which has many advantages in a fast aging world population with increasing health complications. With relatively simple applications to monitor patients inside hospital rooms, the technology has developed to the extent that the patient...

Management platform of threats information in IoT environment

Recently, the use of IoT devices in living environments has increased due to the development of various wireless communication technologies. As the number of types of IoT devices has grown exponentially, many kinds of insecure operating systems and open source software programs are being used. As they run with security vulnerabilities, IoT devices using such OS and software can...

Making tourist guidance systems more intelligent, adaptive and personalised using crowd sourced movement data

Ambient intelligence (AmI) provides adaptive, personalized, intelligent, ubiquitous and interactive services to wide range of users. AmI can have a variety of applications, including smart shops, health care, smart home, assisted living, and location-based services. Tourist guidance is one of the applications where AmI can have a great contribution to the quality of the service...

Detecting crypto-ransomware in IoT networks based on energy consumption footprint

An Internet of Things (IoT) architecture generally consists of a wide range of Internet-connected devices or things such as Android devices, and devices that have more computational capabilities (e.g., storage capacities) are likely to be targeted by ransomware authors. In this paper, we present a machine learning based approach to detect ransomware attacks by monitoring power...

Fast marching method and modified features fusion in enhanced dynamic hand gesture segmentation and detection method under complicated background

Recent development in the field of human–computer interaction has led renewed interest in dynamic hand gesture segmentation based on gesture recognition system. Despite its long clinical success, dynamic hand gesture segmentation using webcam vision becomes technically challenging and suffers the problem of non-accurate and poor hand gesture segmentation where the hand region is...

Agile risk management using software agents

Risk management is an important process in Software Engineering. However, it can be perceived as somewhat contrary to the more lightweight processes used in Agile methods. Thus an appropriate and realistic risk management model is required as well as tool support that minimizes human effort. We propose the use of software agents to carry out risk management tasks and make use of...

Social network analysis to influence career development

Social network analysis techniques have shown a potential for influencing graduates to meet industry needs. In this paper, we propose a social-web driven solutions to bridge formal education and industry needs. The proposed career development framework utilizes social network analytics, influence diffusion algorithms and persuasive technology models along three phases: (1) career...