A simple eye-opening monitor (EOM) system based on two dimensional (2-D) counter-value profile is designed. The proposed EOM can be applied to adaptive equalizer coefficient control for better bit error rate (BER) performance in the high-speed serial interface. Input data is sampled 2048 times with 32 different clock phases on 32 different decision threshold amplitudes to the clocked comparator and the sampled outputs of '1' or '0' are recorded in the designated counter.The counter values at each phase and decision threshold amplitude are compared with a reference of 1024 for eye-opening monitor. The estimated eye-diagram is displayed on the monitor. Through the estimated eye-diagram, the optimal sampling timing can also be determined. The chip for sampling data and gathering the counter value has been designed through 180-nm CMOS process and 86 mW including I/O block is consumed on 2 Gb/s data rate.

This study is intended to recognize the importance of cold-wind, which is one of the solutions to improve urban amenity, and verify the model that can analyze creation and flow of cold-wind. For this reason, KLAM_21 Model, which was developed by the German's Meteorological Service, was selected and used for assessment of cold-wind creation and flow. As a result, the followings have been drawn through comparison with measured data and simulated data in the study area; for a mountain area, the simulation result of velocity and direction of wind has been indicated as similar as those in measured data. For a stream area in the city, only wind direction from simulation has been consistent with measured data whereas wind velocity showed a large difference between measurement and simulation. Finally, for the downtown area, wind velocity has shown a lot of differences between simulation result and measured data. Wind direction has also shown a large difference until midnight. But after midnight, model data have become similar as measured data. According to the verification of this study, the model used in this study for using urban-amenity improvement through assessment of creation and flow of cold wind is suitable to analyze the direction of cold wind that is generated in the periphery of the city and the overall flow within the existing urban area. But the results of wind velocity have shown the uppermost limit of the modeling in the simulation. That is, it could not reflect the site characteristics sufficiently. Therefore, if parameters considering the specific regional characteristics are sufficiently reflected, the result of simulations for reliability can be substantially improved.

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