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This paper shows a method of WDR (wide dynamic range) in camera. When we make a digital WDR, commonly we meet two problems. The first one is an increase of noise. And the other is a lot of control factors. In this paper we will show a WDR with low noise and small number of control factors. The circuit is very simple and needs no memory. So the chip size is nearly unchanged after implementation. When...
Autonomous robots are required to perform tasks in complex and dynamic environments. For this class of systems, traditional safety assuring methods are not satisfying due to the unknown effects of the interacting system with an open environment. Briefly speaking: What is not known during the development phase can not be adequately considered. In order to tackle this problem, it is proposed to extend...
Steady improvement of robotic systems due to developments in the realm of sensing the world enables advances towards human-robot-cooperation. In order for the robot to be reactive in its environment objects need to be identified. In this paper an approach is presented which allows identification of objects in the working area of an industrial robot. Neural Networks are used as associative memory to...
Visual search in augmented reality environments is an important task that can be facilitated through different cueing methods. Current cueing methods rely on explicit cueing, which can potentially reduce visual search performance. In comparison, this paper proposes a subtle cueing method that improves visual search performance while being clutter-neutral. Two empirical user studies were conducted...
Studying human motor control has received increased attention during the past decades. Both the design and control of robotic artifacts may benefit from observation of human behavior. In this paper a novel method for capturing the dynamic behavior of the human hand is presented. The low dimensional kinematics of the human hand, including the wrist, and the low dimensional representation of the muscular...
Ontology has become a very vital issue to solve important issues regarding human diseases through data integration of chemical and biological data. Mining such data discovers highly important knowledge about diseases can give an important insight to arrive to new drug targets and assist in personalized medicine. In the current paper, a mining technique for diseases is developed based on integrated...
This research aims to investigate the usefulness of adopting knowledge modeling in corporate e-Learning systems and specifically the application of concept mapping tools in knowledge-based companies to create, model, and share knowledge between employees themselves and support collaborative problem solving and innovation from one side. The other side is to improve customer satisfaction due to better...
The success rate of IT system development projects has remained as low as 30 %, resulting in that more than 60 % of workers have suffered from problems. This paper proposes a software agent to replace rudimentary-level human counselors. The agent uses a counseling knowledge whose domain is limited to IT workers or students. Counseling differs from learning support whose problems are clear and well-understood...
The paper presents a very general technique to represent human needs and offers along with a technology to find optimal matches. Moreover, the system is able to learn from its use by collecting user feedback and changing its parameters accordingly. This way, the system adjusts itself to the human expectations and desires and even follows the trend of these desires and expectations.
This article describes a video game for iOS mobile devices. The video game is based on the arcade game of air hockey and it uses adaptive physics to improve the experience between two human opponents. The physics of the game continually adapts itself to the ability of each player. That is, the game becomes more difficult for the skillful player, however, it becomes easier for the inexperienced player...
The spectral subtraction method is a classical approach for enhancement of degraded speech. The basic principle of this technique is to estimate the short-time spectral magnitude of speech by subtracting estimated noise from the noisy speech spectrum and to combine it with the phase of the noisy speech. Besides reducing the noise, this method generates an unnatural and unpleasant noise, called remnant...
Human beings are involved in a broad range of social relationships spanning from real life experiences to online media and social networks. This is leading people to act in a multilayered complex network whose relationships among different layers have still to be analyzed and understood in depth. In this paper, we focus on this problem by comparing and overlapping the online sociality (Facebook network)...
Emotions play a key role in human-computer interaction. They are generally expressed through several ways (e.g. facial expressions, speech, body postures and gestures, etc). In this paper, we present a multimodal approach for the emotion recognition that integrates information coming from different cues and modalities. It is based on a formal multidimensional model using an algebraic representation...
Blocking artifact reduction or deblocking algorithm is an important component in modern block-based video encoding architecture and often used as post-processing procedures in many encoding/transcoding applications. Most of the existing video deblocking algorithms do not take into account Human Visual System(HVS) models and employ empirically designed filters, resulting in suboptimal perceptual image...
This paper proposes a method to detect people and estimate the number of the people in a supermarket for energy-saving. By using background subtraction technique to extract foreground, and utilizing the foreground to match adjustable standard template, the method detects people and eliminates non-human objects. Simultaneously, the people positions can be marked in the image. The experiment results...
Attention-deficit/hyperactivity disorder (ADHD) is a neuropsychiatric disorder which is quite common in childhood, with an estimated prevalence of 5–8%, and often persists into adolescence and adulthood. It is further characterized as inappropriate developmentally symptoms of inattention, impulsiveness, motor over-activity and restlessness. The aim of this study is to evaluate the feasibility of diagnosing...
Safety-critical systems are systems where failures lead to catastrophic results: resulting in loss of life, significant property damage, or damage to the environment. These systems range from aerospace on-board control systems, ground flight control systems, medical devices, nuclear power plants control, automotive systems, military systems, just to name a few. Other information systems are becoming...
Since more and more motion data are created, the reuse of motion data becomes increasingly important. We present a method to reconstruct a 3D figure animation based on 2D user-defined moiton on our motion database. First, a novel interactive interface for defining the input query is persented. Users can draw a series of stick figure of 2D human motion through it. These actions have a certain mount...
Nowadays, activity recognition has been proposed in several researches. It is attractive to improve the ability of the activity recognition system because existing research on activity recognition systems still have an error in an ambiguous cases. In this paper, we introduce the novel technique to improve the activity recognition system in smart home domain. We propose the three contributions in this...
What kind of strategy Water Economic patterns should be taken to promote the health and stability of the system, but also to ensure their own survival and development? Scholars believe that this depends on the positioning of the economic patterns in the ecosystem. Economic patterns in the system generally served three roles: First, the backbone of the economy form, occupy the central position in the...
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