Abstract: Location Positioning is a major technology for ubiquitous computing. A research on
Location Positioning using UWB is ongoing. In order to construct an indoor location network, synchronization of base stations is very important. NTP is popularly used as a clock synchronization protocol ranging from LAN to WAN. The Master-Slave scheme, however, is the simplest method for synchronizing an indoor network that uses UWB. In this paper, we compare and analyze the NTP and Master-Slave schemes according to the statistical channel model for an indoor multi-path propagation environment. Error ranges are calculated at various circumstances such as when the indoor network expands from one primary base station to several base stations. In particular, we compare the correctness of the NTP and Master-Slave synchronization methods. We have found that NTP is a more reasonable synchronization protocol in UWB positioning.
Abstract: The framework for a women's informatization indicator (WII) was developed. The
previous indicators focused on the infrastructures of the country and not on the perceptions and behaviors of individual members of the information society. This study has included the objective and subjective aspects of the informatization of individuals. The weights (coefficients) of influencing factors were obtained from multiple regressions of the survey data. The comprehensive indicator for the women’s informatization level is earned. Finally, WII was transformed into the
index. This index makes it easy to compare diverse groups over certain periods of time.
Abstract: The success of target reconstruction in the SAR(Synthetic Aperture Radar) imaging system is greatly dependent on coherent detection. Incoherent detection appears as a multiplicative phase error to echoed signal, which consequently causes fatal degradations such as fading or dislocation of target image. In this paper, we propose a motion error correction scheme using an in-scene target to
compensate for relative distance error between the radar and the target. We start by modeling from a wave equation for one point target, and then derive the complex motion error from extended overall echoed data. The proposed algorithm is also good for the correction of relatively large motion error because it can be applied repeatedly, and it is converged after each iteration. We use the spatial Doppler characteristics of the strong in-scene target to retrieve motion error, thus, we only used the partial spectral echo data corresponding to the strong in-scene target. By doing this, we can reduce computational loads and the number of iterations for the large motion error. We verify the performance of the proposed algorithm by applying it to the simulated spotlight-mode SAR data.
Abstract: In this paper, we proposed an improved binary tree vector quantization in special
consideration of the area of spatial sensitivity which is an important characteristic of the human visual system. We regarded spatial sensitivity as a function of the human visual system, which works using variations of the three primary colors in blocks of input images. In addition, we applied the weight derived from HVS spatial sensitivity to the process of splitting nodes using eigenvectors in binary tree vector quantization. The test results showed that the proposed method provided better
visual quality and greater PSNR than conventional methods.
Abstract: An abundant amount of information is produced in the digital domain, and an effective
information extraction (IE) system is required to surf through this sea of information. In this paper, we show that an interactive visualization system works effectively to complement an IE system. In particular, three-dimensional (3D) visualization can turn a data-centric system into a user-centric one by facilitating the human visual system as a powerful pattern recognizer to become a part of the IE cycle. Because information as data is multidimensional in nature, 2D visualization has been the preferred mode. However, we argue that the extra dimension available for us in a 3D mode provides a valuable space where we can pack an orthogonal aspect of the available information. As for candidates of this orthogonal information, we have considered the following two aspects: 1) abstraction of the unstructured source data, and 2) the history line of the discovery process. We have applied our proposal to text data mining in bioinformatics. Through case studies of data mining for molecular interaction in the yeast and mitogen-activated protein kinase pathways, we demonstrate the possibility of interpreting the extracted results with a 3D visualization system.
Abstract: System developers often create design documents using various UML design tools.
Extant tools, however, have a serious drawback. They fail to capture relationships inherently existing among design documents such as sequence, state and class diagrams. This drawback may not only disallow developers to freely navigate the relationships, but also make it difficult to automatically enforce the integrity constraints derived from the relationships. To overcome this, more sophisticated tools for facilitating the analysis of the documents are necessary. These tools
may be used to understand and verify the whole process of the system by defining relationships between documents and providing efficient navigation methods. In this paper, we developed a navigation tool that enables developers to systematically analyze systems by capturing relationships such as duplication, instance, and transition between documents. In contrast with the navigation facilities of other UML design tools, this tool makes it possible to navigate not only design documents but also design elements. In other words, it can systematically capture and verify both
the static structure and the dynamic behavior of the system in more primitive level. To provide such a facility, we addressed the practical issues and formulated a solution for them. The issues that were mainly discussed were the following: 1) definitions of three relationships: duplication, instance, and transition, 2) assignment of relationships to related design elements according to the predefined way, and 3) presentation of a set of functions to navigate them.
Abstract: The problem of comparison of structural similarity has been complex and computationally expensive. The first step to solve comparison of structural similarity in 3D structure databases is to develop fast methods for structural similarity. Therefore, we propose a new method of comparing structural similarity in protein structure databases by using topological patterns of proteins. In our approach, the geometry of secondary structure elements in 3D space is represented by spatial data types and is indexed using Rtrees. Topological patterns are discovered by spatial topology relations based on the Rtree index join. An algorithm for a similarity search compares topological patterns of a query protein with those of proteins in structure databases by the intersection frequency of SSEs. Our experimental results show that the execution time of our method is three times faster than the
generally known method DALITE. Our method can generate small candidate sets for more accurate alignment tools such as DALI and SSAP.
Abstract: Ubiquitous computing requires an intelligent environment and context-aware
recommendations. This paper describes context-aware recommendations using pattern discovery in ubiquitous computing. The proposed method recommends information that may be useful without requiring any action on the part of the user by changing the user’s context. To recommend information, we discovered interesting patterns between past experiences and the current context. We explained the process, the algorithms and gave an example. Several experiments were performed and the results showed that our method has a good recommendation performance.
Abstract: As electronic commerce progresses, temporal association rules are developed by time to offer personalized services for customer’s interests. In this article, we propose a temporal association rule and its discovering algorithm with exponential smoothing filter in a large transaction database. Through experimental results, we confirmed that this is more precise and consumes a shorter running time than existing temporal association rules.
Abstract: An information-intensive society should be supported not only by the development of computer hard/software, but also by the entire social structure, including practical living conditions such housing structures. Therefore, it is inevitable that housing styles should change in relation to new demands in the living and working environment that result from the development of an information-intensive society. The
alternatives suggested by this study refer to traditional Korean houses as a means of setting some physical distances between the workplace and living area in the same unit building; differences in the level between 'home space' and 'office space', differences in materials used (wood, concrete, etc.,), and in particular, the method of access whereby dwellers should go out and come in to enter the 'office space', are all explored. We have also referred to the unique Korean custom of removing our shoes to enter another space. Furthermore, the concept of containing a social space in the living space of a traditional Korean house was reinterpreted to suggest that the traditional Korean house is a prototype that is suits the living and working needs of our information-intensive society. In this view, 3 types of houses are presented: the flat type, the tower type and the skip floor type. These houses have two independent entrances for the home space and the work space thereby providing a separate, efficient place to work from home.