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We are developing an information extraction system for life science literature. We are currently focusing on PubMed abstracts and trying to extract named entities and their relationships, especially protein names and protein-protein interactions. We are adopting methods including natural language processing, machine learning, and text processing. But we are not developing a new tagging or parsing technique. Developing a new tagger or a new parser specialized in life science literature is a very complex job. And it is not easy to get a good result by tuning an existing parser or by training it without a sufficient corpus. These all are another research topics and we are trying to extract information, not to develop something to help the extracting job or else. In this paper, we introduce our method to use an existing full parser without training or tuning. After tagging sentences and extracting proteins, we make sentences simple by substituting some words like named entities, nouns into one word. Then parsing errors are reduced and parsing precision is increased by this sentence simplification. We parse the simplified sentences syntactically with an existing syntactic parser and extract protein-protein interactions from its results. We show the effects of sentence simplification and syntactic parsing. [ABSTRACT FROM AUTHOR]

Each learner has different preferences and needs. Therefore, it is very crucial to provide the different styles of learners with different learning environments that are more preferred and more efficient to them. This paper reports a study of the intelligent learning environment where the learner's preferences are diagnosed, and then user interfaces are customized in an adaptive manner to accommodate the preferences. A learning system with a specific interface has been devised based on the learning-style model by Felder & Silverman, so that different learner preferences are revealed through user interactions with the system. Using this interface, learning styles are diagnosed from learner behavior patterns on the interface using Decision Tree and Hidden Markov Model approaches. [ABSTRACT FROM AUTHOR]

Biofiltration is a biological process which is considered to be one of the more successful examples of biotechnological applications to environmental engineering, and is most commonly used in the removal of odoriferous compounds. In this study, we have attempted to assess the efficiency with which both single and complex odoriferous compounds could be removed, using one- or two-stage biofiltration systems. The tested single odor gases, limonene, α-pinene, and iso-butyl alcohol, were separately evaluated in the biofilters. Both limonene and α-pinene were removed by 90% or more EC (elimination capacity), 364 g/m3/h and 321 g/m3/h, respectively, at an input concentration of 50 ppm and a retention time of 30 s. The iso-butyl alcohol was maintained with an effective removal yield of more than 90% (EC 375 g/m3/h) at an input concentration of 100 ppm. The complex gas removal scheme was applied with a 200 ppm inlet concentration of ethanol, 70 ppm of acetaldehyde, and 70 ppm of toluene with residence time of 45 s in a one- or two-stage biofiltration system. The removal yield of toluene was determined to be lower than that of the other gases in the one-stage biofilter. Otherwise, the complex gases were sufficiently eliminated by the two-stage biofiltration system. [ABSTRACT FROM AUTHOR]

In this paperThis work is supported by a grant from Samsung Advanced Institute of Technology. , we propose a fast handoff method for seamless multimedia service in IEEE 802.11 WLAN. The proposed method uses an improved access point (AP) with additional radio frequency (RF) module, SNIFFER, monitoring the movement of the station (STA). By using the SNIFFER, the proposed method can completely remove the probe delay. Furthermore, we also propose an effective handoff decision method taking into account the quality of service (QoS) in the application layer. The proposed method uses packet loss information and the received signal strength indication (RSSI) for the handoff decision. Experimental results show that the proposed method can improve the performance of the seamless multimedia service by drastically reducing the handoff delay and packet loss. [ABSTRACT FROM AUTHOR]

In this paper, we propose an area-based decision rule for counting the number of people that pass through a given ROI (Region of Interest). This decision rule divides obtained images into 72 sectors and the size of the person is trained to calculate the mean and variance values for each divided sector. These values are then stored in table form and can be used to count people in the future. We also analyze various movements that people perform in the real world. For instance, during busy hours, people frequently merge and split with each other. Therefore, we propose a system for counting the number of passing people more accurately and a way of discovering the direction of their paths. [ABSTRACT FROM AUTHOR]

In this paper, we propose an open standard-based, intelligent service management platform that aims to provide a flexible and extensible platform for building intelligent home network services. To have greater flexibility and efficiency in managing home network services, we further propose an AAA proxy, a service provisioning, security agent, a sip proxy service, and others. We call this platform the IHSM (Intelligent Home Network Service Management) Platform, which consists of the ISMS (Intelligent Service Management System) and the ISMF (Intelligent Service Management Framework). [ABSTRACT FROM AUTHOR]

Although various location-sensing techniques and services have been developed, most of the conventional location-based services provide only static service. They do not consider user's preference but only a current location. Considering the trajectory might help to understand the user's intention and to provide a proper service. We propose a novel method that predicts user's mobility to provide service corresponding to the intention. The user's movement trajectory is analyzed by two stage modeling of recurrent self-organizing maps (RSOM) and Markov models. Using a GPS data set collected on the campus of Yonsei University, we have verified the usefulness of the proposed method. [ABSTRACT FROM AUTHOR]

In this paper, we propose a block-based real-time people counting system that can be used in various environments including shopping mall entrances, elevators and escalators. The main contributions of this paper are robust background subtraction, the block-based decision method and real-time processing. For robust background subtraction obtained from a number of image sequences, we used a mixture of K Gaussian. The block-based decision method was used to determine the size of the given objects (moving people) in each block. We divided the images into 72 blocks and trained the mean and variance values of the specific objects in each block. This was done in order to provide real-time processing for up to 4 channels. Finally, we analyzed various actions that can occur with moving people in real world environments. [ABSTRACT FROM AUTHOR]

IPsec has now become a standard information security technology throughout the Internet society. It provides a well-defined architecture that takes into account confidentiality, authentication, integrity, secure key exchange and protection mechanism against replay attack also. For the connectionless security services on packet basis, IETF IPsec Working Group has standardized two extension headers (AH & ESP), key exchange and authentication protocols. It is also working on lightweight key exchange protocol and MIB's for security management. IPsec technology has been implemented on various platforms in IPv4 and IPv6, gradually replacing old application-specific security mechanisms. In this paper, we propose the design and implementation of controlled Internet security system, which is IPsec-based Internet information security system in IPv4/IPv6 network and also we show the data of performance measurement. The controlled Internet security system provides consistent security policy and integrated security management on IPsec-based Internet security system. [ABSTRACT FROM AUTHOR]

Ginseng (Panax ginseng C.A. Meyer) hairy root cultures, established by infecting ginseng root discs with Agrobacterium rhizogenes, were used for secondary metabolite production. In this study, several elicitors [salicylic acid (SA), acetylsalicylic acid (ASA), yeast elicitor, and bacterial elicitor] were used to improve the productivity of useful metabolite in P. ginseng hairy root cultures. In SA elicitation, total ginseng saponin content increased slightly at lower elicitor dosages (0.1 to 0.5 mM). Also, the use of ASA as an elicitor resulted in the inhibition of biomass growth and an increase in total ginseng saponin content at every elicitor dosage (0.1 to 1.0 mM) by about 1.1 times. With yeast elicitor addition, hairy root growth was inhibited about 0.8-fold on a dry weight basis compared to the control, but total ginseng saponin content increased by about 1.17 times when compared to the control. The bacterial elicitor showed a slight inhibition of biomass growth, but total ginseng saponin content increased by about 1.23 times upon the addition of 1 mL. [ABSTRACT FROM AUTHOR]

While designing a web service based integration framework, it is not easy but most important to define API for biological SOAP servers. Therefore, we propose in this paper a web service API especially for the interaction databases: BIND, DIP and MINT. Each biological laboratory can configure their own application systems accessing these three databases transparently. The three databases are mirrored in our local computers on which we have implemented a prototype of SOAP servers for the interaction databases. [ABSTRACT FROM AUTHOR]