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In some countries, many problems according to aging are pointed out. Decrease of worker's physical ability is one of them. The old workers have high techniques, but physical ability is lower than that of young workers. And it becomes difficult to keep high quality. Hence it is thought that a power assist by robot is needed. The method that increases human motion simply is mainstream conventional power...
Events occurring in the real world are covered by news reports from different sources. Each report generally contains information that is found in others, but may also contain unique information. To learn all the information about a particular event, a user will need to read all the different reports. This is a duplication of effort since most information will be repeated in the different reports...
Inaccurate perception of distances is a known problem within virtual environments. We hypothesize that the inclusion of virtual characters within these environments can improve an observer's ability to judge distances and achieve accurate spatial understanding. We have conducted an empirical study using a desktop display of a small scale environment to evaluate the validity of this concept. We investigated...
Complex information systems make a wide variety of data types available, but users may find it difficult to obtain insight when inspecting those data sets. This need has led to data analytics research and resulting technologies such as information visualization and data mining. While these research efforts provide a necessary and useful component of many information systems, they lack the ability...
Our paper discusses how active warden operates and why it is important for steganographers to understand the impending threat in which they possess. It was a common belief that the main adversary for steganography is coming from steganalysis detection. However, we have found in some situation, the destruction of hidden information is more easily achievable compared to the task of detecting it. Active...
Several pervasive and mobile computing systems would benefit from being notified about special events happening in the city. In this paper we present a methodology to discover events from human mobility patterns as recorded by cell network usage. Experiments conducted over an extensive dataset from the main Italian telecom operator show that the proposed approach is effective and can be applied to...
In real world datasets, lots of redundant and conflicting data exists. The performance of a classification algorithm in data mining is greatly affected by noisy information (i.e. redundant and conflicting data). These parameters not only increase the cost of mining process, but also degrade the detection performance of the classifiers. They have to be removed to increase the efficiency and accuracy...
As robots become increasingly capable and autonomous, the role of a human operator may be to supervise multiple robots and intervene to handle problems and provide strategic guidance. In such cases, the extent to which HRI tools support the human supervisor's situational awareness (SA) and ability to intervene in an appropriate and timely fashion will constrain the scale of operations (e.g., the number...
The burden of lifestyle diseases such as diabetes have reached epidemic proportions since the last decade in India. An estimated 75 million people in India would become diabetic by 2025. However, the existing healthcare infrastructure is inadequate to meet the demands of this exploding population. Provisioning a web-based patient support system that helps in patient centered decision making and physician...
The present study proposes a new method that automatically creates a knowledge structure from a single document. Knowledge structure refers to an organization of knowledge, represented through key concepts that make up the knowledge domain and their proximity relationships. We examine several alternative methods in inferring a knowledge structure from a document, and those methods are compared with...
Social Network has become a very popular communication tool among Internet users who connect to each other by one or more relations. Millions of users are sharing opinions and experiences on different aspects of life every day via the social network community. Comments from the members of social network can be influential and have an impact on trust among members within the social group. The Discovery...
Every year, fraud as a subset of insider threats causes billions US dollar of damage worldwide. We suggest a generic architectural model to unify the classic fraud audit approach with human behavior taking into account the fraud triangle in order to achieve better fraud detection and prevention. The human factor is extensively integrated into the audit as a qualitative component, in addition to the...
Motion capture (mocap) has becoming popular and widely used in various applications. Keyframing is an important tool to select the important frames of the motion sequence to represent the overall motion sequence and regenerate the original motion based on interpolation from the keyframes. In this paper, we would like to propose a new keyframe selection method that analyses the motion activity of the...
For autonomous robots equipped with a camera, terrain classification is essential in finding a safe pathway to a destination. Terrain classification is based on learning, but the amount of data cannot be infinite. This paper presents a self-supervised classification approach to enable a robot to learn the visual appearance of terrain classes in various outdoor environments by observing moving objects,...
Avian Influenza Virus (AIV) has already crossed species barriers to infect humans, but the reason for avian flu cross-species infection is unknown. A lot of biology experiment accumulated tens of thousands of biological information data. As a new technology based on database and statistics, data mining provides unprecedented data analysis tool to biologists and powerful means to gene and protein's...
Tactile sensing is becoming an essential function for robots in daily life for safe and natural human-robot interaction. Tactile sensors for wide detection areas are required so that robots can interact naturally with their surroundings by touch, but they complicate the tactile situations of robots and cause difficulties of tactile information processing. The conventional methods are not able to deal...
Some countries in the world have different the degree of fires every year, it caused the serious damage to the ecological environment, not only losing huge resources, but wasting a lot of manpower and material resources. A new approach to forecast fire information is presented in this paper, which will provide efficient theoretical support and technical guidance.
Internet technologies and web based social networking have seen wide adopted in the recent years and the user is exposed to lots of data from his friends and acquaintances. The data presented to the user needs to be filtered based on his current state and prioritized. In this paper we propose a method for identifying change points related to busy and free periods based on mobile phone call detail...
To make informed decisions, an expert has to reason with multi-dimensional, heterogeneous data and analysis results of these. Items in such datasets are typically represented by features. However, as argued in cognitive science, features do not yield an optimal space for human reasoning. In fact, humans tend to organize complex information in terms of prototypes or known cases rather than in absolute...
Extended Classifier System (XCS) has been proved to be a fine classifier for pattern recognition tasks and was adopted as a popular research tool for several active research fields. During the progress of developing XCS, several versions of XCS such as XCS with real value attribute (XCSR), XCS with additional memory (XCSM) and parallel XCS (DXCS), XCS as function approximator (XCSF) have been proposed...
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