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Expressing emotion to others and recognizing emotion state of the counterpart are not difficult for human. Emotion state of a person may be recognized from the facial expression, voice, and/or gesture. Speech emotion recognition research gained a lot of attention in recent years. One of the important subjects in speech emotion recognition research is the feature selection. The speech features used...
This paper presents a method of automatic lexical stress assessment for L2 English speech. Syllable stress can be labeled at three levels - primary (P), secondary (S) and no (N) stress, but secondary stress may vary among word pronunciations within and across accents and present difficulties for human perception. Hence, evaluation of lexical stress based on all three levels (i.e., the P-S-N criterion...
Synthesis of natural sounding speech is the greatest challenge in a Text-to-Speech Synthesis (TTS) system. In natural speech, duration, intensity and pitch are dynamically varied which is manifested as rhythm or prosody of speech. If these variations are not recreated, the synthesized speech will sound robotic. Synthesis of good quality speech depends on how well the duration and intonation patterns...
In contrast to intelligence, wisdom is the part of the propositional knowledge part of the background of knowledge that is a mean between two extremes of believing without sufficient evidence and not believing with sufficient evidence. Wisdom may be incorporated in an artificial intelligence system as artificial wisdom (AW). An intelligence system with AW, will learn a collection of activities like...
In this article, we discuss how to detect occasional social interaction by a group of people in an open space such as a hall by observing the environment by cameras. Since it is known in the field of social psychology that some characteristic arrangement is maintained by each group of people during interaction, previous works have tried to detect social interaction based on the arrangement. However,...
This study focuses on the negotiation in the financial markets, specifically in programming an algorithm to trade automatically (without human intervention) in the foreign exchange market (Forex). The platform used in this study was the Meta Trader (version 5), which allows for this kind of negotiation. The main objective was to conclude about the effectiveness of anewly developed strategy for automatic...
In this paper, we discuss the causes and implications of fratricide in a battlespace increasingly governed by information and intelligence. We propose that, by integrating artificial intention awareness into battlefield communication and control systems by means of the Digital Crosstalk client-server architecture, we can address many of the problems that have been found to be causative agents in fratricide...
The security of web applications is an ongoing dilemma. Hackers and bots are getting more and more innovative in bypassing the various defensive tools implemented to enforce security. e-Commerce Applications, such as those used for the transaction processes, could be in a placed in a position of not providing a fair chance to all consumers because because can interact more quickly. This is especially...
Foreground extraction and moving object detection are often used in human tracking systems. However those methods are not able to produce accurate results when objects are too close or when occlusions happen since the result is generally a single big blob which contains all the different objects. In this paper we propose a novel and efficient moving object detection enhancement method. Indeed, by...
Customer store loyalty is one of the most important motivations that facilitate the intentions of re-patronizing a retailer's website and create marketing values for firms. Research on survey-based for measuring consumers' loyalty to persist in online shopping environment has been developed. But while the measured values of human perceptions towards various attributes are often uncertain data, most...
In this work, a human head from nuclear electromagnetic pulse (NEMP) is simulated by using CST program for the analysis of SAR at 1MHz, 10MHz, 50MHz. The human head model is homogeneous and simulated with the brain equivalent material. And the NEMP is described by the second double exponential pulse shape with some characteristic parameters. From these results, we find that while the frequency increase,...
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.
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