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Human memory is generally poor and often fails in unpredictable ways, sometimes with dire consequences. On social occasions, it usually causes embarrassing situations (e.g., forgetting the name of a friend). Moreover, as the number of contacts increases, people feel difficult to maintain their social contacts with merely memory. Aiming at helping people better manage their social contacts, a powerful...
Large Web sites contain a plethora of different menus and navigation aids, which implement systems of content organization as hierarchies, linear structures or matrices. Humans are able to decode the fine-grained content organization because they are aware of the different access methods provided by navigation systems and understand the higher-level information architecture. In contrast, current methods...
In this paper we present work-in-progress - a technology platform for Social Collaboration in the context of Personalized Information Extraction. In particular, we consider elements of user-centered software engineering as it converges on the development of folksonomies. Results from our work-in-progress demonstrate to what extent non-IT users can apply natural language when managing their IT-based...
Anticipating users' actions and automating them is an important goal in intelligent environments. This work presents IntelliDomo's learning algorithm, a data mining approach applied to home automation systems. This algorithm is able to acquire users' habits just by processing the data collected from the full environment. IntelliDomo can generate production rules for each behavior pattern in order...
In this paper we generalize the well known regression method to fulfill supervised classification aiming to produce a learning model which best separates the class members of a labeled training set. The separation surface is represented by the level set of a model function and it is defined by the respective equation. The model is represented by mathematical formulas and composed of an optimum set...
Establishes the knowledge complex mode of design rules of civil avionics SVS (Synthetic Vision Systems) aiming at its peculiarity of operation and being based on the experienced data being evaluated by the resourceful pilots, and mines the correlative relationship between disfigurements from the contents of EFIS display and the human errors of itself being based on rough set in order to obtain the...
In this paper, we investigate the problem of monitoring human activities using a network of sensors, including video cameras, in a smart home environment. We introduce an unsupervised method for mining a new kind of temporally structured activity models from sensor data. We present an application of our method to the recognition of activities of daily living in an elderly care context.
From the fact that human behavior is determined by both miners' intrinsic characteristics and external environment, the factors that may affect human behavior safety in metal underground mining are analyzed. Based on the analysis, countermeasures such as choose eligible miners and optimize environment are proposed, consequently to minimize the adverse effect and maximize the efficiency of miners matching...
Image encryption technology has a wide range of applications in protecting private information and trade secrets. The key information of carrier image can be saved by the mask matrix for information extraction, and the location of confidential information embedded can be decided by the mask matrix for information embedded. The Synthetic image embedded by the confidential information displayed as the...
The analysis of human motion data is interesting for the purpose of activity recognition or emergency event detection, especially in the case of elderly or disabled people living independently in their homes. Several techniques have been proposed for identifying such distress situations using either motion, audio or video sensors on the monitored subject (wearable sensors) or the surrounding environment...
China's rape acreage and total output of rapeseeds ranks among the top in the world, accounting for more than 30% of the world's total rape acreage and output of rapeseeds. This paper takes Landsat TM as the main data source in conducting the study of extracting rape acreage information in the Shou County, Anhui Province. Through analysis and calculations of phenological diversity, spectral discrimination,...
In this paper we present an integrated approach to COSMO-SkyMed image analysis and classification exploiting integration of different data of the regions of interest, namely urban forestry areas, wide urban parks. The aim is to provide a methodology for exploiting complex data structures built upon multi resolution grids gathering together with optical and X-SAR images, also historical land exploitation...
Semantic web technologies provide a standardised mechanism for describing and accessing the services of underlying infrastructure. These technologies facilitate the inclusion of the quality of network services in the control loop of high level applications and allow applications to tune the system level performance with additional quality dimensions. However, the descriptions of a large infrastructure...
Human shadow is one of the most important aspects which can be used for gait recognition. However, human shadow extraction is a hard task due to the umbra-penumbra phenomenon and backlight effects. In this paper, a new Graph Cuts based human shadow extraction method using entropyex-pressed texture and color features is proposed. In this method, the local area attributes are estimated totally both...
Based on auditory masking effect, WAV format audio signal is programmed to embed a DWT (discrete wavelet transform) efficient digital watermarking algorithm of WAV format VF watermarking, conducting the embedding of the watermarking, extraction and anti-piracy properties research by using Matlab7.0 programming. Simulation results show that VF watermarking, embedded in the algorithm has good imperceptibility,...
The spatial pattern of prehistoric settlement sites in Henan Province is researched. By analyzing the relationship between prehistoric settlement sites location and regional altitude, terrain slope, rivers and other geographical environment factors, the laws of the distribution of prehistoric settlement sites are found: more than 70% of settlement sites are located at the altitude of from 50 to 400...
The pattern of interactions between individuals in a population contains implicitly within them a remarkable amount of information. This information, if extracted, could be of significant importance in several realms such as containing the spread of disease, understanding information flow in social systems and predicting likely future interactions. A popular method of discovering structure in networks...
Biclustering is usually referred to as the process of finding subsets of rows and columns from a given dataset expressing a relationship. Each subset is a bicluster and corresponds to a sub-matrix whose elements tend to present a high degree of coherence with each other, that may lead to novel discoveries regarding the objects in the dataset. This coherence leads to the possibility of obtaining representative...
The Bohai Bay West Coast is a typical muddy coastal zone which is also the most sensitive and vulnerable areas in the geological, ecological environment. In recent years, human's activities are greatly affected its change's speed and direction. By using a combination of Remote Sensing and GIS technology, this paper utilizes lots of Remote Sensing data to monitor the coastline position, changes rules...
In this paper, a survey of researches on the application of natural language processing (NLP) in internet public opinion monitor (IPOM) was proposed. Key NLP technologies used in all stages of IPOM were introduced in detail. Two main difficulties that IPOM faces were also addressed. They are the problem of semantic understanding and the problem of sentiment analysis.
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