Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  develop algorithms for biochemical detection and estimation in arbitrary two-dimensional (2D) environments using integrated sensor arrays. The development of biochemical sensor techniques has been a subject of considerable research interest in recent years.  propose statistical algorithms for automatic monitoring of biochemical agents in realistically shaped 2D environments using multi-sensor measurements.  derive models for the concentration distribution using the diffusion equation and finite element approximations. Using these results,  develop parametric statistical models and a maximum likelihood estimation algorithm to find the parameters of the biochemical agent. To detect the presence of a source,  develop a generalized likelihood ratio test.  demonstrate the applicability of our techniques through numerical examples. Our results are potentially useful for national security, environmental engineering, food industry, oil industry, etc.
['Aleksandar Jeremic', 'Arye Nehorai']
I am writing a research paper on a idea Detection and estimation of biochemical sources in arbitrary 2D environments
[{"from": "human", "value": "I am writing a research paper on a idea Detection and estimation of biochemical sources in arbitrary 2D environments"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  develop algorithms for biochemical detection and estimation in arbitrary two-dimensional (2D) environments using integrated sensor arrays. The development of biochemical sensor techniques has been a subject of considerable research interest in recent years.  propose statistical algorithms for automatic monitoring of biochemical agents in realistically shaped 2D environments using multi-sensor measurements.  derive models for the concentration distribution using the diffusion equation and finite element approximations. Using these results,  develop parametric statistical models and a maximum likelihood estimation algorithm to find the parameters of the biochemical agent. To detect the presence of a source,  develop a generalized likelihood ratio test.  demonstrate the applicability of our techniques through numerical examples. Our results are potentially useful for national security, environmental engineering, food industry, oil industry, etc."}]