We research and analyze to the IMT-2000, it contains the various problem with the bandwidth and standardization. Finally, we proposed to the method of the standardization and implementation for the Beyond IMT-2000, in this paper. Comparing the Beyond the IMT-2000 take advantage of the aspect of the GPS(global positioning system) service and remote medical treatment service and wireless internet service and VOD(Video on Demand) service with IMT-2000. Henceforth, we are consider to the development of the contents which it is adaptable to various environment.

The purposes of this study were to explain consumer attitude, expenses and satisfaction of mobile-phone Users. The data of this study used from Pollever.com. This study was satisfaction of mobile-phone users in Korea. The users were consumers of Samsung, LG, SK-Telecom and Pantack. The critical success factor was on the subside for mobile-phone in the growth of mobile service, which we can analyze in its positive effects. Fifty percent of consumers were unsatisfaction with local companies without Samsung. Now most of local mobile-companies will developed music-phone, high-tec camera-phone, hi-slim phone, and health-phone. But, the results of this study are as fallow: Most of consumer' main issues were design, weight, and brand power. It was in that it played the driving force to upgrade the local mobile-phone services into international level with the explosive growth in business by providing cheap phones.

Electronic Trade of increasing is the use of the Internet makes it possible for business to expand their markets and render services. However, it also brought up many problems caused by various issues. The problems encompass consumer protection and dispute settlement between the disputed parties. Online ADR have some advantage that are convenience, low-cost, legitimate to online users and avoids jurisdiction issues and some disadvantages that are loss of the human factor, lack of accessibility, lack of confidentiality and security and difficulty of enforcing arbitral agreements. This purpose of this paper is to reviews the types of Online ADR, as the dispute settlement way in Electronic Trade. This study points out the task that korea has to promote the Online ADR for more effective and efficient dispute settlements.

Quantitative analysis for distribution of penetrating ultrasound in vivo is very important to determine the treatment region and method. In this paper, we constructed a simplified 2-D femoral region model that consists of skin-fat-muscle-bone layered system, and simulated the pressure distribution in the model in case of applying ultrasound using Finite Element Method(FEM). The ultrasound used in the simulation was assumed to be pulse wave and the pressure distribution was analyzed during only one period of pulse wave. In order to find the penetration depth, amplitude of pressure and sphere that ultrasound reaches in the model, we performed the simulation with varying the applied frequency, transducer size and amplitude of transducer's output. The result showed that applied frequency is inversely proportional to the penetration depth and amplitude of pressure but the amplitude of transducer's output is proportional to the amplitude of pressure in the model. Also, the sphere that ultrasound reaches was widened and the amplitude of pressure became larger as the transducer size became larger. This results were similar to that obtained from the previous model consisting of fat-muscle-bone layered system, but we observed that the pressure of ultrasound is decreased due to the decrements of pressure by the absorption coefficient of skin and the interference that depends on the reflection of ultrasound caused by the difference of acoustic impedance of skin and fat. Finally, we can infer that the model proposed in this study is closer to the realistic model than the previous ones. It shows that the results obtained from this study can be useful in designing the ultrasound treatment instrument or in setting up the treatment plan.

The Back propagation algorithm is a very effective supervised training method for multi-layer feed forward neural networks. This paper studies the decision boundary formation based on the Back propagation algorithm. The discriminating powers of several neural network topology are also investigated against five manually created data sets. It is found that neural networks with multiple hidden layer perform better than single hidden layer.

In this study, polyvinyl alcohol film of japan and china products were measured by FT-IR spectrophotometer, ASTM D882-02(tensile strength) and KS M3048-2001 test method(Thermal Gravitational Analysis). The Chinese product became help in prime cost curtailment. It was confirmed as the result polyvinyl alcohol film which analyzes the Chinese product and the Japanese product. And the result stability which tries to measure the stability against heat was superior.

The purpose of this study is primarily to analyse empirically the productivity effects of worker participation in capital by Korean employee stock ownership plan that had taken newly effect on and after January 1,2002, and secondarily to examine the impact of unionization on productivity. The analysis data are those of 150 firms that listed or registered on the stock market, and introduced ESOP. The result of this study can be summarized as follows. First, the worker participation in capitia have significantly a positive effect on productivity, but the magnitude of those effects vary according to estimation models and sectors. The elasticity of stock share owned by employees on productivity is from 0.03 to 0.24. Second, there is no unitary relationship between unionization and productivity. The coefficients of union dummy variable are positive or negative according to models and sectors as well as insignificant.

This paper again to present position of a bus that is running in bus government organization small grasp and Can instruct control about the vehicles progress speed in government organization small to bus driver. Therefore, Inform a bus that own wants to ordinary people who carry transfer communication terminal is situated to where present, ad Do by purpose that offer system that inform running information of a bus to ARS and FAX, internet and ordinary people through PC communication. Also, Intelligence style bus control system that see also includes function that do as can guide arrival expectation depot automatically without driver's manufacturing when run a bus.

This paper will look into the Main Substance and Some Problems of 24 hours Advance Cargo Manifest Declaration Rule, focuses on the Policy implication of Korea's and counter measures of our parties concerned about 24-hour advance vessel manifest rule. The 24-hour rule requires cargo owners to submit cargo manifest information to U.S. Customs 24 hours before vessel sailing from the final foreign port to a U.S. port. Cargo manifest information must be complete, accurate, and timely. As of February 2, 2003 manifest information can be submitted by paper or electronically. Cargo descriptions must be at a level of detail consistent with Harmonized Tariff Schedule (HTS) codes used by U.S. Customs. HTS codes are 10 digits. Electronic submissions are made via the Automated Manifest System (AMS) run by U.S. Customs.

Investigation of surface discharge characteristics of surface leakage on polluted EPDM insulator have been performed. This work was performed utilizing High Frequency Current Trans former to monitor surface discharge. It was found that there were significant variation in the surface discharge waveform frequency spectrum, depending both on the surface discharge magnitude and more importantly on the duration of surface discharge activity.

Learning procedure in the neural network is updating of weights between neurons. Unadequate initial learning coefficient causes excessive iterations of learning process or incorrect learning results and degrades learning efficiency. In this paper, adaptive learning algorithm is proposed to increase the efficient in the learning algorithms of Kohonens Self-Organization Neural networks. The algorithm updates the weights adaptively when learning procedure runs. To prove the efficiency the algorithm is experimented to clustering of the random weight. The result shows improved learning rate about 42~55% ; less iteration counts with correct answer.