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Prior to 9/11, the intelligence process and tools used by our government were primarily directed at known threats with well understood functions and activities. However, with the rising importance of non-state actors and asymmetric threats, threat-focused processes and tools are now directed at known threats whose functions and activities are not well understood [1]. Today's intelligence environment...
Higher Education faces a revolutionary opportunity for change created by the confluence of pressures from economic and societal changes along with opportunities for new modes of education offered by the advancement and widespread availability of Information and Communication Technology. Advances in learning technologies are creating opportunities to improve education in 21st century competencies...
Agent-based modeling and simulation tools have been mainly focusing on creating standalone applications based on some client-server model. There has been little or no focus on developing support for easy adaptation and evolution of application data models and logics, support for integration and deployment on other types of enabling infrastructures such as mesh or mobile ad-hoc networks, or synthesis...
The method using hierarchical clustering classify blouses and human somatatype into different categories. And then using BP algorithm of ANN to simulate the pattern master's experience and technique is proposed and used in the flat pattern design of blouses. This method realizes intelligence formation of size for blouse based on effective anthropometric measurements. The Experimental results show...
We present Fermat, an Intelligent Social Network for Mathematics Learning, which integrates an Intelligent Tutoring System as an extra feature to help students to improve the teaching and learning process. The intelligent tutor takes into account both cognitive and affective aspects. The social network and the affective tutoring systems are accessed from the web. Initial results in math show the benefits...
According to object oriented methodology, all of the controller object, sensor object and actor object are intelligent in a human body simulated control system. The above three intelligent control objects can co-operate with each other to keep the controlled system safety and reliability although one of them does not work. The above three intelligent objects consist of human body simulated controller,...
In this paper we propose a model to represent and manage affective / emotional feedback. This model represents a set of emotions which is assumed to play a major role for learning processes. The emotions are to be identified during the learning phase. To achieve these objectives, we have considered primarily: i) Methods and techniques to assess and identify affectivity/emotivity in ITS (Intelligent...
This paper presents the design and evaluation of a full AI controller for Real-Time Strategy (RTS) games using techniques from Evolutionary Computing (EC). The design is novel in its use of a modified Pareto Differential Evolution (PDE) algorithm for bi-objective optimization of the weights of an Artificial Neural Network (ANN) controller when only single-objective optimization has so far been studied...
IT outsourcing enables companies to contract out IT services, such as infrastructure and application management to external providers. IT services delivery relies on knowledge that is in the collective possession of application and infrastructure specialists. With recent advances in harnessing the expertise of network-connected humans, services businesses have also started to seek strategies to efficiently...
There are many arguments for and against the use of autonomous-agents in intelligent environments. Some researchers maintain that it is of utmost importance to give complete control to users, and hence greatly restrict autonomy of agents, whereas, others believe that is it preferable to increase user convenience by allowing agents to operate autonomously on the user's behalf. While both of these approaches...
Argumentation plays an important role in promoting deep learning, fostering conceptual change and supporting problem solving. The new “learning by arguing” paradigm leads to new learning opportunities. However, due to the difficulties in modeling human cognition, there are few learning systems that can facilitate argumentation dialogues between systems and learners. Fuzzy Cognitive Map (FCM) is an...
Service delivery centers are extremely dynamic environments in which large numbers of globally distributed system administrators (SAs) manage a vast number of IT systems on behalf of customers. SAs are under significant time pressure to efficiently resolve incoming customer requests, and may fall far short of accurately capturing the intricacies of technical problems, affecting the quality of ticket...
Humans are still responsible for operating complex equipment because they are able to respond during emergency situations. By removing the pilot from an aircraft, Unmanned Air Vehicles (UAVs) are vulnerable to unpredictable activity within their environment. The landing process is the most stressful phase of flight for pilots and as a consequence, a significant number of UAV are being destroyed or...
This paper contains analysis and simulation of recent dynamic models, describing human emotion. The pharmacological discussions lead to a new model of drug taking, which also have a better performance for description of psychological and psychiatric phenomena. Studying the effects of the order of fractional model, obtains an advantage of the fractional order model over the integer order one.
The paper establishes the knowledge complex mode of design rules of civil avionics Integrated Intelligent Flight Deck Displays aiming at its peculiarity of operation and being based on the experienced data being evaluated by the resourceful pilots, an algorithm is proposed which using rough set to reduce the data and give a knowledge reduction and rule extraction algorithm based on a comprehensive...
This paper proposes an occlusion resistant automatic fall detection framework for smart environments. There are two major contributions of the proposed method. First, synchronized RGB and depth data are utilized together to capture both apperance and geometrical characteristics of human silhouettes in the environment. Second, unlike existing methods, a single Kinect sensor is mounted on a ceiling...
This paper describes the structure and function of conceptual dictionary placing in our narrative generation system architecture to provide knowledge of verb concepts and noun concepts associated with an event concept that is a basic constitutional unit in narrative. Currently, verb concept dictionary has 5337 case frames and modified 1158 constraints, and noun concept dictionary contains 142168 noun...
This paper proposes a human interface device framework for interactive applications including educational contents in ubiquitous environments. Recently, mobile and portable devices such as iPad, iPhone and Android tablet PC have become common and popular. We should use these devices for providing learners with more attractive educational contents supporting various intuitive interfaces. Using the...
Social systems are systems that share information multidisciplinary set. The systems are intelligent and filter information according depository complex information stored in long term memory, separated into categories, coded and classified into patterns that are integrated object storage anchored through language. The standards will be activated stored, reused and reworked in the process of information...
To increase human trust in robots, we have developed a system that provides insight into robotic behaviors by enabling a robot to answer questions people pose about its actions (e.g., Q: “Why did you turn left there?” A: “I detected a person at the end of the hallway.”). Our focus is on generation of this explanation in human-understandable terms despite the mathematical, robot-specific representation...
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