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Automated chromosome classification is an essential task in cytogenetics. The genetic disorders and abnormalities that occur to the future generation can be predicted through analysing the various characteristics of the chromosomes. The chromosome classification is mainly based on geometric and morphological features. An effective algorithm for chromosome geometric feature extraction is presented...
The contribution describes the application of the Team 'Computational Intelligence Group' from the University of Applied Sciences Mittweida (Germany) to the ICMLA Face Recognition Challenge 2012. In particular we explain the data preprocessing and feature extraction, which was applied before classification learning. Further we give details about the used classification algorithm - the enhanced generalized...
This concept paper suggests a new way of thinking about the origin, growth, and spread of a general-purpose "scientific habit of mind" in humans, and discusses how intelligent coaching agents may help. The argument begins with a description of the role of the cognitive cycle in animal thinking. We then examine critical differences between non-human and human cognition, especially in respect...
Human Behavior Understanding (HBU) is a major challenge facing intelligent agents. Most approaches to solve this problem assume a recognition/detection context in which the agent/robot tries to match the perceived behavior to one or more predefined motion patterns (e.g. walking, running etc). A more challenging problem is discovering these motion patterns without apriori assumption about the motions...
This research is mainly to find culture differences when the user interacts with a home robot having facial expressions. Different nations have different cultures, which are inevitably reflected in communicative modes. Without knowledge of these differences in cross-cultural communication, people may find it hard to pass on the desired message and misunderstandings may arise. In order to let the home...
Medical ontologies are valuable and effective methods of representing medical knowledge. In this direction, they are much stronger than biomedical vocabularies. In the process of medical diagnosis, each disease has several symptoms associated with it. There are currently no ontologies that relate diseases and symptoms and only attempts at their infancy along with some simple proposed models. However,...
Agent based simulations often model humans and increasingly it is necessary to do this at an appropriate level of complexity. It has been suggested that the Belief Desire Intention (BDI) paradigm is suitable for modeling the cognitive processes of agents representing (some of) the humans in an agent based modeling simulation. This approach models agents as having goals, and reacting to events, with...
In agent based modeling many approaches are used for modeling agents' behavior. They range from relaxing the rationality assumption to considering participants' behavior in experiments. Important suggestions come from qualitative research in particularly from social sciences. We propose an approach to model artificial agents by applying Glaser and Strauss Grounded Theory. As an example, we ran an...
Mind is a compound information handling and processing mechanism and consciousness — (the processed information) is the core component of mind. The spirit of consciousness is definite correspondence between substance with some rules or laws. Information processed in the mind approaching from both the outer world (physical world) and the inner world (mind). The information can be represented in many...
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...
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.
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...
Based on "information complex holographic person" hypothesis, any systems involved to person can be considered a giant complexity intelligent system. The Internet of Things (IoT) can bring Interconnection, Human to Human (H2H), Human to Things (H2T), Things to Things(T2T). So higher education and the Internet of Things should be giant complexity intelligent systems. In essence, the Internet...
With the rapid advancement of hardware efficiency in recent years, computation power has significantly improved, increasing the speed and depths of the game tree search in computer chess programs. However, to satisfy the need of increasing search depth, the investment in hardware is no longer personally affordable. Thus, another method must be found in addition to improving the efficiency of hardware...
Aiming at the problems of the global image matching, an area based on image matching algorithm is presented. In the paper, the principle of area based image matching is given firstly and the algorithm is analyzed in detail. In the algorithm, in order to diminish the influence of the segmentation to image matching, color key feature points are chosen as the feature of image and weighted distance measurement...
Traditional methods do not actually measure peoples' risk attitude naturally and precisely. Therefore, a fuzzy risk attitude classification method is developed. Since the prospect theory is usually considered as an effective model of decision making, the personalized parameters in prospect theory are firstly fuzzified to distinguish people with different risk atti-tudes, and then a fuzzy classification...
The desire of human beings and the goal of government policy basically have a common point, i.e., the better life in happiness. However, the common point composed of multi-criteria from objective and subjective living causes difficulty in decision making. This research applies the fuzzy set extensions of dominance-based rough set approach (FSE-DRSA) on the better life in happiness defined by the Organization...
Numerous studies have focused on measuring tourism competitiveness. However, few studies have attempted to identify strategies for improving tourism competitiveness, preventing decision makers from obtaining valuable cues for making accurate decisions to improve competitiveness. This study thus explores strategies for improving tourism competitiveness using a new hybrid fuzzy MCDM model combined with...
University systems all over the world are in a change process. The process from input-orientation to output-orientation was ongoing in business and industry. Institutions of higher education can learn from economy.
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