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Differential Evolution with Adaptive Population Size for Target Localization in WSN
Andres Caceres Najarro,Iickho Song,Kiseon Kim 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
The population size (PS) plays a key role in the performance of any population-based evolutionary algorithm. In this paper, we propose two new techniques for adapting the PS, namely, parabolic and logistic reduction. In contrast to other PS adaptive techniques, the proposed techniques carefully reduce the PS at a higher rate. The proposed techniques together with the differential evolution (DE) are tested when solving the target node localization problem in terms of localization accuracy and computational complexity. Simulation results demonstrate that the DE with the proposed PS adaptive techniques provides better performance over the DE with other adaptive techniques, especially in terms of computational complexity.
China’s Natural Resource Appetite in Brazil
Sigfrido Burgos Caceres,Sophal Ear 한국라틴아메리카학회 2011 라틴아메리카연구 Vol.24 No.2
This essay deals with the many connections between Brazil and China, as it examines the fundamental drivers of this accretive friendship. Brazil, like China, is a rapidly growing economic giant with a large resource base. Brazil has experienced an average growth of 7 per cent and China of 10 per cent. These growth rates require large amounts of energy sources, natural resources and raw materials. Both countries are positioned to benefit from increased rapprochement: China needs Brazil to supplement its rising commodities needs, and Brazil needs China to finance its industrial and manufacturing investments. Today, China is Brazil’s leading trade partner, replacing the United States and emerging as a viable ally at a time of waning hegemonic control. As large oil deposits lie 150 miles off the Brazilian coast, China is attentive to Brazil’s wishes, as well as to its desires to rightly develop the trillion dollar oil boom that is currently taking place.
Panama`s Entrance into the Central American Common Market The Macroeconomic Effects
( Luis Rene Caceres ) 세종대학교 경제통합연구소 1996 Journal of Economic Integration Vol.11 No.1
Panama and the Central American countries have discussed their economic integration for a long time, but thus far no viable mechanism has been agreed on. Their mutual trade remains based on preferential trade agreements on a reduced number of products. One factor that may inhibit advancing on their trade relationships is the lack of studies that quantij5t the impacts of deeper economic integration. This paper presents a six country interdependence model, representing each of the Central American countries plus Panama. Panama`s entrance into the Central American Common Market is simulated by an increase in its marginal propensity to export to Central America. An equation that expresses the increment in the GDP vector due to such change is derived. The model is calibrated with 1992 national accounts and trade data. The results indicate that Panama and Central America would gain from establishing a reciprocal free trade regime in the framework of the Central American Common Market.
Nonlinear Compensation Using Artificial Neural Network in Radio-over-Fiber System
Najarro, Andres Caceres,Kim, Sung-Man The Korea Institute of Information and Commucation 2018 Journal of information and communication convergen Vol.16 No.1
In radio-over-fiber (RoF) systems, nonlinear compensation is very important to meet the error vector magnitude (EVM) requirement of the mobile network standards. In this study, a nonlinear compensation technique based on an artificial neural network (ANN) is proposed for RoF systems. This technique is based on a backpropagation neural network (BPNN) with one hidden layer and three neuron units in this study. The BPNN obtains the inverse response of the system to compensate for nonlinearities. The EVM of the signal is measured by changing the number of neurons and the hidden layers in a RoF system modeled by a measured data. Based on our simulation results, it is concluded that one hidden layer and three neuron units are adequate for the RoF system. Our results showed that the EVMs were improved from 4.027% to 2.605% by using the proposed ANN compensator.
Economic Integration and Unemployment in Mercosur
( Luis Rene Caceres ) 세종대학교 경제통합연구소(구 세종대학교 국제경제연구소) 2011 Journal of Economic Integration Vol.26 No.1
This paper quantifies the interdependence in labor markets that exists in the Mercosur countries. Two sets of panel data are constructed: one formed by the aggregation of annual time series data from Argentina and Brazil, and another with data from Uruguay and Paraguay. These two sets of data are used to estimate a Var model that includes the following variables: economic growth, real effective exchange rates, and unemployment rates. Another Var is estimated including the change in the wage levels in place of the unemployment rates. The results indicate that strong cross border effects ensue between countries such that national unemployment rates drop in response to shocks of economic growth and devaluation in other member countries. The paper ends with a series of recommendations on the design of regional stabilization policies.
Fast Smoke Detection for Video Surveillance Using CUDA
IEEE 2018 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS - Vol.14 No.2
<P>Smoke detection is a key component of disaster and accident detection. Despite the wide variety of smoke detection methods and sensors that have been proposed, none has been able to maintain a high frame rate while improving detection performance. In this paper, a smoke detection method for surveillance cameras is presented that relies on shape features of smoke regions as well as color information. The method takes advantage of the use of a stationary camera by using a background subtraction method to detect changes in the scene. The color of the smoke is used to assess the probability that pixels in the scene belong to a smoke region. Due to the variable density of the smoke, not all pixels of the actual smoke area appear in the foreground mask. These separate pixels are united by morphological operations and connected-component labeling methods. The existence of a smoke region is confirmed by analyzing the roughness of its boundary. The final step of the algorithm is to check the density of edge pixels within a region. Comparison of objects in the current and previous frames is conducted to distinguish fluid smoke regions from rigid moving objects. Some parts of the algorithm were boosted by means of parallel processing using compute unified device architecture graphics processing unit, thereby enabling fast processing of both low-resolution and high-definition videos. The algorithm was tested on multiple video sequences and demonstrated appropriate processing time for a realistic range of frame sizes.</P>