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Human-intensive cyber-physical systems involve software applications and hardware devices, but also depend upon the expertise of human participants to achieve their goal. In this paper. we describe a project we have started to improve the effectiveness of such systems by providing Smart Checklists to support and guide human participants in carrying out their tasks, including their interactions with...
This paper focuses on providing an overview of the research challenges that have been identified toward the end of the S-Cube network in the area of service engineering. These challenges concern the need for agility and dynamicity of the development process for service-based applications, the importance of focusing on proper approaches to support migration of legacy application into service-based...
The M-learning has become a new learning mode after E-Learning. The appearance of the emerging strategic industry—Internet of Things(IOT) will undoubtedly bring new opportunities to the M-learning mode. This paper starts from the functions of IOT and the current situation of M-learning, discusses the M-learning mode which is under Internet of Things and purpose a IOT-ML mode introducing PP (pull and...
As fish has been existing and adapting to the water ecological environment that it will sense physically when water quality changes. Thus, the fish responding behavior has been taken one of the methods in monitoring water quality in recent years. This study has successfully in building a water quality monitoring system by utilizing the image processing and fuzzy inference in auto-recognizing the gesture...
In distance learning/training in a Computing Environment for Human Learning (CEHL), among the numerous methods proposed, very few concentrate on a real time follow-up of learner/trainee. Our work develops the design and implementation of a MultiAgent System based on case based reasoning which can initiate learning and provide an individualized monitoring of learner/trainee. When interacting with the...
Criminal activities cause a huge amount of loss both financially and in terms of human lives. Because of these acts, business and social sectors are struggling. This paper illustrates the development of an online sensor stream mining system that is able to analyze the situational behavior of all of the persons in specific areas and in turn propose real-time alert systems to take countermeasures. This...
Criminal activities are causing a huge amount of loss both in term of financial and human lives. Due to these acts, business and social sectors are striving. This paper is aimed to develop an online sensor stream mining system, able to analyze situational behavior of all persons in some specific vicinity and proposes real-time alert system to take countermeasures. This system is designed to gather...
With the increasing of public safety demand, monitoring system has been used widely. However, there are not many mature passenger flow counting systems in the market, because the system's key problem has not been satisfactory resolved. In this paper, the key algorithms in this system are discussed. The main algorithms have been improved, such as: the extraction of human, the segmentation of crowd...
Autonomous robots that operate in real-world domains face multiple challenges that make planning and goal selection difficult. Not only must planning and execution occur in real time, newly acquired knowledge can invalidate previous plans, and goals and their utilities can change during plan execution. However, these events can also provide opportunities, if the architecture is designed to react appropriately...
A regenerable flow-through sensor based on white light reflectance spectroscopy for label-free detection of proteins and DNA is presented. Detection is based on monitoring the interference wavelength shift caused by an increase in film thickness during bioreactions. By employing an anti-mouse IgG antibody/mouse IgG assay, a detection sensitivity of 150 pM was determined. In addition, the sensor response...
In the present paper, an electroencephalography (EEG)-based real-time dynamic neuroimaging system, which was recently developed by the authors, is introduced and its potential applications are presented. The real-time system could monitor spatiotemporal changes of cortical rhythmic activity on a subject's cortical surface, not on the subject's scalp surface, with a high temporal resolution. The developed...
We present the design and implementation of a system that monitors physical activities of a human user wearing a portable device equipped with inertial sensors. This system uses inertial sensor data to automatically classify human activities using a trained classifier. The portable device is used both as a sensing as well as an application platform with user interface. The software application includes...
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