Mete Sakpmar, who was born in Ankara, May 5, 1954, is a contemporary Turkish composer. His compositions were played in various countries like Turkey, France （1980-1983）, Canada, Australia, Sweden, Norway, Hungary, A...Mete Sakpmar, who was born in Ankara, May 5, 1954, is a contemporary Turkish composer. His compositions were played in various countries like Turkey, France （1980-1983）, Canada, Australia, Sweden, Norway, Hungary, Albania, Belgium, Holland, and German, and he also joined lots of seminars, radio, and television programs. His inspirational sources are traditional Turkish music, modern French music, American cultural traditions, as well as jazz, acoustic, and electronic music. His music, in summary, is about taking a little from tonality, twelve-note system, coincidences, improvisations, etc., and joining them with his own experiences like emotions, knowledge, and intelligence. Sakpmar always defends that the composer of the day has to benefit from lots of various sources. He is doing this as well as trying new forms in every new piece. It does not matter if these are tonal, atonal, serial, or modal but it must be personal. All the borders and capacities of the instruments have to be forced.展开更多
Target tracking in wireless sensor network usually schedules a subset of sensor nodes to constitute a tasking cluster to collaboratively track a target.For the goals of saving energy consumption,prolonging network lif...Target tracking in wireless sensor network usually schedules a subset of sensor nodes to constitute a tasking cluster to collaboratively track a target.For the goals of saving energy consumption,prolonging network lifetime and improving tracking accuracy,sensor node scheduling for target tracking is indeed a multi-objective optimization problem.In this paper,a multi-objective optimization sensor node scheduling algorithm is proposed.It employs the unscented Kalman filtering algorithm for target state estimation and establishes tracking accuracy index,predicts the energy consumption of candidate sensor nodes,analyzes the relationship between network lifetime and remaining energy balance so as to construct energy efficiency index.Simulation results show that,compared with the existing sensor node scheduling,our proposed algorithm can achieve superior tracking accuracy and energy efficiency.展开更多
文摘Mete Sakpmar, who was born in Ankara, May 5, 1954, is a contemporary Turkish composer. His compositions were played in various countries like Turkey, France （1980-1983）, Canada, Australia, Sweden, Norway, Hungary, Albania, Belgium, Holland, and German, and he also joined lots of seminars, radio, and television programs. His inspirational sources are traditional Turkish music, modern French music, American cultural traditions, as well as jazz, acoustic, and electronic music. His music, in summary, is about taking a little from tonality, twelve-note system, coincidences, improvisations, etc., and joining them with his own experiences like emotions, knowledge, and intelligence. Sakpmar always defends that the composer of the day has to benefit from lots of various sources. He is doing this as well as trying new forms in every new piece. It does not matter if these are tonal, atonal, serial, or modal but it must be personal. All the borders and capacities of the instruments have to be forced.
基金Supported by the National Natural Science Foundation of China(No.90820302,60805027)the Research Fund for Doctoral Program of Higher Education(No.200805330005)the Academician Foundation of Hunan(No.2009FJ4030)
文摘Target tracking in wireless sensor network usually schedules a subset of sensor nodes to constitute a tasking cluster to collaboratively track a target.For the goals of saving energy consumption,prolonging network lifetime and improving tracking accuracy,sensor node scheduling for target tracking is indeed a multi-objective optimization problem.In this paper,a multi-objective optimization sensor node scheduling algorithm is proposed.It employs the unscented Kalman filtering algorithm for target state estimation and establishes tracking accuracy index,predicts the energy consumption of candidate sensor nodes,analyzes the relationship between network lifetime and remaining energy balance so as to construct energy efficiency index.Simulation results show that,compared with the existing sensor node scheduling,our proposed algorithm can achieve superior tracking accuracy and energy efficiency.
