To examine the possibility of real-time measurement system for the concentration of airborne pollen allergens, Cry j 1 was chosen as an example to establish the system. Airborne pollen allergens were ...collected using Cyclone sampler from Burkard Co. Ltd. England. Cry j 1 was extracted from airborne samples with 10 mM HEPES buffer containing 0.125 M NH4HCO3 and measured with Biacore 3000 and Biacore Q. The sensitivity of the system was 5 ng/ml, and 0.1 ml sample volume and at least 500 pg of Cry j 1 was required for each measurement. Amounts of Cry j 1 can be obtained ca. 40 min after collection, that is, 15 min for extraction, 10 min for separation and 10 min for measurement.
In the field of bioinformatics, several studies have attempted to reconstruct biological reactions on a computer in order to understand their essence. In this study, we optimized the parameter tuning ...problem of the heat shock response in E. coli, one of the gene regulatory network simulations, which exhibits a transient peak by genetic algorithms (GAs). However, if the search area is too large, the optimization performance deteriorated significantly. To optimize this problem more efficiently, we defined two evaluation functions that represent two features of the simulation and used the survival ratio GA. This GA has a gene's lifetime as a new concept, that is, the population holds previous search histories. By alternating between two evaluation functions every generation, the population holds both previously evaluated genes and children inherit both properties. In the two-evaluation problem of the heat shock response, the survival ratio GA exhibited a considerably better optimization performance than traditional GA methods.
The progress of computer made the analysis that was difficult in traditional technology possible. In gene regulatory network simulation to recreate and understand actual biological reaction, we build ...a reaction model and find the several unknown parameters in order to show the same behavior as actual. However it is difficult to optimize them because the scopes of them are logarithm scale wide and the fitness space is multidimensional and multimodal. We optimized it using distributed genetic algorithms (DGA) which has multiple populations. DGA showed better performance, if and only if the parameter of the emigrating operation is appropriate. Therefore we propose distributed and integrated genetic algorithms (DIGA) to reduce the cost to find the appropriate parameters of operation. We carried out some optimizing experiments on parameter tuning of heat shock response simulation of E.Coli and several mathematical functions and inspected the characteristic of DIGA.
This work presents methods for path planning and obstacle avoidance for the humanoid robot QRIO, allowing the robot to autonomously walk around in a home environment. For an autonomous robot, ...obstacle detection and localization as well as representing them in a map are crucial tasks for the success of the robot. Our approach is based on plane extraction from data captured by a stereo-vision system that has been developed specifically for QRIO. We briefly overview the general software architecture composed of perception, short and long term memory, behavior control, and motion control, and emphasize on our methods for obstacle detection by plane extraction, occupancy grid mapping, and path planning. Experimental results complete the description of our system.
This paper presents a system that edits graphic primitives and alphanumeric characters using hand gestures in natural environments. Gesture is one of the most natural means of enhancing ...human-computer interaction (HCI) techniques to the level of human communication. This research aims to recognize one-stroke pictorial gestures from visual images, and to develop a graphic/text editing system running in real time. The tasks are performed through three steps: moving-hand tracking and trajectory generation, key-gesture segmentation, and gesture recognition by analyzing dynamic features.
A gesture vocabulary consists of 48 gestures of three types:
(1) six editing commands;
(2) six graphic primitives; and
(3) alphanumeric characters—26 alphabetic and 10 numerical. A meaningful gesture part is segmented by a spotter using the phase-based velocity constraints. Some dynamic features are obtained from spatio-temporal trajectories and quantized by the K-means algorithm. The quantized vectors were trained and tested using hidden Markov models (HMMs). Experimental results show about 88.5% correct recognition rate, and also the practical potential for applying these techniques to several areas such as the remote control of robots or of electronic household appliances, or object manipulation in VR systems.
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