Computer-aided protein-coding gene prediction in uncharacterized genomic DNA sequences is one of the most important issues of bio- logical signal processing. A modified filter method based on a statistically optimal n...Computer-aided protein-coding gene prediction in uncharacterized genomic DNA sequences is one of the most important issues of bio- logical signal processing. A modified filter method based on a statistically optimal null filter (SONF) theory is proposed for recognizing protein-coding regions. The square deviation gain (SDG) between the input and output of the model is used to identify the coding regions. The effective SDG amplification model with Class I and Class II enhancement is designed to suppress the non-coding regions. Also, an evaluation algorithm has been used to compare the modified model with most gene prediction methods currently available in terms of sensitivity, specificity and precision. The performance for identification of protein-coding regions has been evaluated at the nucleotide level using benchmark datasets and 91.4%, 96%, 93.7% were obtained for sensitivity, specificity and precision, respectively. These results suggest that the proposed model is potentially useful in gene finding field, which can help recognize protein-coding regions with higher precision and speed than present algorithms.展开更多
This paper considers the consensus problem of a group of homogeneous agents. These agents are governed by a general linear system and can only directly measure the output, instead of the state. In order to achieve the...This paper considers the consensus problem of a group of homogeneous agents. These agents are governed by a general linear system and can only directly measure the output, instead of the state. In order to achieve the consensus goal, each agent estimates its state through a Luenberger observer, exchanges its estimated state with neighbors, and constructs the control input with the estimated states of its own and neighbors. Due to the existence of observation and process noises, only practical consensus, instead of asymptotical consensus, can be achieved in such multi-agent systems. The performance of the achieved practical consensus can be measured by the ultimate mean square deviation of the states of agents. That performance is closely related to the observation gains of the state observers and the control gains of agents. This paper proposes a method to optimize such performance with respect to the concerned observation and control gains. That method starts with a set of feasible observation and control gains and formulates a group of linear matrix inequalities (LMIs). Solving these LMIs gives some intermediate matrix variables. By perturbing observation and control gains, and the intermediate matrix variables, the original LMIs yield another group of LMIs, which can be solved to provide a descent direction of observation and control gains. Moving along that descent direction, observation and control gains can be improved to yield better performance and work as the starting point of the next iteration. By iteratively repeating this procedure, we can hopefully improve the consensus performance of the concerned multi-agent system. Simulations are done to demonstrate the effectiveness of the proposed method.展开更多
Several nuclear charge radii had been calculated based on the law of A1/3 and isospin dependence Z1/3 formula which had been used to describe the charge radii data. It is achieved that the isospin dependence Z1/3 form...Several nuclear charge radii had been calculated based on the law of A1/3 and isospin dependence Z1/3 formula which had been used to describe the charge radii data. It is achieved that the isospin dependence Z1/3 formula is superior to the generally accepted A1/3 law through mean root square deviation analysis, that is, the Z1/3 formula is more effective to describe the charge radii data.展开更多
The Middle Route Project(MRP)of the Southto-North Water Transfer Scheme(SNWT)in China will require a very large financial expenditure to ensure the water supply and the associated water quality to northern China.An ec...The Middle Route Project(MRP)of the Southto-North Water Transfer Scheme(SNWT)in China will require a very large financial expenditure to ensure the water supply and the associated water quality to northern China.An eco-compensation mechanism between the water service source areas and its beneficiaries is essential.This paper establishes an analytic framework of ecocompensation standard for the protection of the water source area,including both the calculation of ecocompensation based on opportunity cost method(OCM)and calculation of the burden sharing of eco-compensation between the water source area and the external water reception area based on the deviation square method(DSM).Taking Shiyan City,Hubei Province in China as a case study,our results show that the eco-compensation in the first-phase of MRP for the water source area in Shiyan,Hubei Province should be 1.63×10^(10) CNY,about four times of planned eco-construction investment budget(4.33×10^(9) CNY).In addition,the burden sharing of eco-compensation varied greatly in terms of different methods.It would be better to integrate the results of different single-factor burden sharing methods by determining the corresponding weighting coefficient with DSM and form one unanimous consent result by the interested parties.展开更多
基金supported by the Fundamental Research Funds for the Central Universities (Grant No.CDJXS10160001)the Central University Postgradu-ate’ Science and Innovation Funds of China (Grant No.CDJXS12160005)
文摘Computer-aided protein-coding gene prediction in uncharacterized genomic DNA sequences is one of the most important issues of bio- logical signal processing. A modified filter method based on a statistically optimal null filter (SONF) theory is proposed for recognizing protein-coding regions. The square deviation gain (SDG) between the input and output of the model is used to identify the coding regions. The effective SDG amplification model with Class I and Class II enhancement is designed to suppress the non-coding regions. Also, an evaluation algorithm has been used to compare the modified model with most gene prediction methods currently available in terms of sensitivity, specificity and precision. The performance for identification of protein-coding regions has been evaluated at the nucleotide level using benchmark datasets and 91.4%, 96%, 93.7% were obtained for sensitivity, specificity and precision, respectively. These results suggest that the proposed model is potentially useful in gene finding field, which can help recognize protein-coding regions with higher precision and speed than present algorithms.
基金The work of W. Zheng and Q. Ling was partially supported by the National Natural Science Foundation of China (No. 61273112) and the National Key Research and Development Project (No. 2016YFC0201003). The work of H. Lin was partially supported by the National Science Foundation (Nos. NSF-CNS-1239222, NSF-CNS-1446288, NSF-EECS-1253488).
文摘This paper considers the consensus problem of a group of homogeneous agents. These agents are governed by a general linear system and can only directly measure the output, instead of the state. In order to achieve the consensus goal, each agent estimates its state through a Luenberger observer, exchanges its estimated state with neighbors, and constructs the control input with the estimated states of its own and neighbors. Due to the existence of observation and process noises, only practical consensus, instead of asymptotical consensus, can be achieved in such multi-agent systems. The performance of the achieved practical consensus can be measured by the ultimate mean square deviation of the states of agents. That performance is closely related to the observation gains of the state observers and the control gains of agents. This paper proposes a method to optimize such performance with respect to the concerned observation and control gains. That method starts with a set of feasible observation and control gains and formulates a group of linear matrix inequalities (LMIs). Solving these LMIs gives some intermediate matrix variables. By perturbing observation and control gains, and the intermediate matrix variables, the original LMIs yield another group of LMIs, which can be solved to provide a descent direction of observation and control gains. Moving along that descent direction, observation and control gains can be improved to yield better performance and work as the starting point of the next iteration. By iteratively repeating this procedure, we can hopefully improve the consensus performance of the concerned multi-agent system. Simulations are done to demonstrate the effectiveness of the proposed method.
文摘Several nuclear charge radii had been calculated based on the law of A1/3 and isospin dependence Z1/3 formula which had been used to describe the charge radii data. It is achieved that the isospin dependence Z1/3 formula is superior to the generally accepted A1/3 law through mean root square deviation analysis, that is, the Z1/3 formula is more effective to describe the charge radii data.
基金This research was supported by the National Water Pollution Control Technology Major Projects(No.2008ZX07033-03).
文摘The Middle Route Project(MRP)of the Southto-North Water Transfer Scheme(SNWT)in China will require a very large financial expenditure to ensure the water supply and the associated water quality to northern China.An eco-compensation mechanism between the water service source areas and its beneficiaries is essential.This paper establishes an analytic framework of ecocompensation standard for the protection of the water source area,including both the calculation of ecocompensation based on opportunity cost method(OCM)and calculation of the burden sharing of eco-compensation between the water source area and the external water reception area based on the deviation square method(DSM).Taking Shiyan City,Hubei Province in China as a case study,our results show that the eco-compensation in the first-phase of MRP for the water source area in Shiyan,Hubei Province should be 1.63×10^(10) CNY,about four times of planned eco-construction investment budget(4.33×10^(9) CNY).In addition,the burden sharing of eco-compensation varied greatly in terms of different methods.It would be better to integrate the results of different single-factor burden sharing methods by determining the corresponding weighting coefficient with DSM and form one unanimous consent result by the interested parties.