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With the development of mobile web integration technologies and wireless sensor networks, the interactive activities of human society increasingly rely on the heterogeneous network environment including the communication network, the Internet and sensor networks. This paper tries to apply socially aware computing and data mining to the mobile web application integration technology. It emphasizes understanding...
When a lot yield is low, we used to survey the related APC data whether it shows the abnormal signal and could be detected early to minimize the yield loss. And now, we propose to identify the yield impact by using the abnormal data detected by checking the trend or from the frequency alarm of FDC. Then we'll know the importance and share with the module as a lesson learned.
In recent years, many user-interface devices appear for managing variety the physical interactions. There are the researches with the interface model of body movements in a learning environment. In this paper, we talk about a motion mining supporting system using Microsoft Kinect for educational system developments.
Unusual behaviour detection and information extraction in streams of short documents and files (emails, news, tweets, log files, messages, etc.) are important problems in security applications. In [1], [2], a new approach to rapid change detection and automatic summarization of large documents was introduced. This approach is based on a theory of social networks and ideas from image processing and...
Due to the development of World Wide Web technologies, people are living in the place flooding trillions of web pages in every moment. The amount of web size has been increasing dramatically. For this reason, it is getting more difficult to find relevant web documents corresponding to what users want to read. Classifying documents into predefined categories is one of the most important tasks in Natural...
Human gait is the main activity of daily life. Gait can be used for applications like human identification (in medical field etc). Since gait can be perceived from a distance it can be used for human identification. Gait recognition means identifying the person with his/her gait. Human identification using gait can be used in surveillance. A method is proposed for gait recognition using a technique...
In this research, the authors aimed to mining Life logs for developing a user model-based service application. Life logs can be constructed by analyzing Motion logs, which are obtained from questionnaires, or motion data collected from sensors. And the user models, which help applications to provide appropriate service, can be constructed by mining these Life logs.
An increasing number of Americans use social networking sites such as Facebook, but few fully appreciate the amount of information they share with the world as a result. Although studies exist on the sharing of specific types of information (photos, posts, etc.), one area that has been less explored is how Facebook profiles can share personality information in a broad, machine-readable fashion. In...
Slang is one of the problems encountered in developing Lexical Database. There is no complete source officially for slangs in any language. This research attempts to create a list of Indonesian slangs using the proposed framework and methodology. The contents for slangs are generated by Twitter; therefore it can encounter the newest slangs available in the society.
In Intelligent Tutoring Systems, affect-based computing is an important research area. Common approaches to deal with the affective state identification are based on input data from external sensors such as eye-tracker and EEG, as well as methods based on mining of ITS log data. Sensor based methods are viable in laboratory settings but they are tough to implement in real-world scenario which might...
Recommender systems automatically determine suitable items for users. Although preferences or context of users have been widely utilized in order to evaluate the suitability of the items for users, the surrounding context have little been considered. Focusing on that many ordinary human beings voluntarily report their observations of the current situation of the world to microblogs, this paper proposes...
Goal-Setting enhances learning by providing a sense of direction and purpose. Often only a few goals are suggested, as a result many learners fail to find the goals that they can relate to. To address this problem, we propose to extract a large number and variety of goals from social media. Learners can then observe goal-based messages from others and adopt the ones they find useful. Conceptually,...
The question of scene information whether can help realistic action recognition has been investigated in this paper. The salience region of each frame in video was acquired by using Itti-Koch algorithm. The information outside the salience region represented scene information. Two action recognition methods were tested on the YouTube action dataset. One method got rid of partial scene information,...
Since the structure and D.O.F. of human and machine are different, the motion of human and machine is essentially different. This study defines "Pseudo Human Motion" as approximated machine's motions referring to the standard human motion. If the pseudo human motion is realized, the operation of complex machine becomes easy, because the motion of complex machine becomes human-like motion...
There is a growing belief that understanding and addressing the human processes employed during software development is likely to provide substantially more value to industry than yet more recommendations for the implementation of various methods and tools. To this end, considerable research effort has been dedicated to studying human issues as represented in software artifacts, due to its relatively...
Lane change is one of the most principle driving behaviors on structure roads. It frequently happens in daily driving. A key issue in lane change technique is trajectory planning, where a set of trajectories describing possible vehicle motions are generated by applying a parametric function, and by uniformly sampling the end states in configuration space; the trajectories are then examined to find...
Mining patterns of human behavior from large-scale mobile phone data has potential to understand certain phenomena in society. The study of such human-centric massive datasets requires new mathematical models. In this paper, we propose a probabilistic topic model that we call the distant n-gram topic model (DNTM) to address the problem of learning long duration human location sequences. The DNTM is...
This paper reports on an innovative approach that aims to reduce information management costs in data-intensive and cognitively-complex biomedical environments. Recognizing the importance of prominent high-performance computing paradigms and large data processing technologies as well as collaboration support systems to remedy data-intensive issues, it adopts a hybrid approach by building on the synergy...
We propose a method for information extraction and presentation using recorded eye gaze data, i.e., life-log video data. We call our method Gaze Cloud, which essentially uses gaze information for the generation of thumbnail images. One of the usages of wearable computing, personal life-logs are becoming increasingly possible. However, an aspect that needs to be addressed is information retrieval through...
Much of the existing work on action recognition combines simple features (e.g., joint angle trajectories, optical flow, spatio-temporal video features) with somewhat complex classifiers or dynamical models (e.g., kernel SVMs, HMMs, LDSs, deep belief networks). Although successful, these approaches represent an action with a set of parameters that usually do not have any physical meaning. As a consequence,...
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