Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  define the   range 1 query (R1Q) problem   as follows. Given a  d   -dimensional   (d≥1)     (  d  ≥  1  )        input bit matrix  A  (consisting of 0's and 1's), preprocess  A    so that for any given region   R     R        of  A   , efficiently ansr queries asking if   R     R        contains a 1 or not.  consider both orthogonal and non-orthogonal shapes for   R     R        including rectangles, axis-parallel right-triangles, certain types of polygons, axis-parallel right simplices and spheres.  provide space-efficient deterministic and randomized algorithms with constant query times (in constant dimensions) for solving the problem in the word-RAM model. The space usage in bits is sublinear, linear, or near linear in the size of  A , depending on the algorithm.
['Michael A. Bender', 'Rezaul Alam Chowdhury', 'Pramod Ganapathi', 'Samuel McCauley', 'Yuan Tang']
I am writing a research paper on a idea The range 1 query (R1Q) problem
[{"from": "human", "value": "I am writing a research paper on a idea The range 1 query (R1Q) problem"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  define the   range 1 query (R1Q) problem   as follows. Given a  d \u00a0 -dimensional   (d\u22651)     (  d  \u2265  1  )        input bit matrix  A  (consisting of 0's and 1's), preprocess  A \u00a0  so that for any given region   R     R        of  A \u00a0 , efficiently ansr queries asking if   R     R        contains a 1 or not.  consider both orthogonal and non-orthogonal shapes for   R     R        including rectangles, axis-parallel right-triangles, certain types of polygons, axis-parallel right simplices and spheres.  provide space-efficient deterministic and randomized algorithms with constant query times (in constant dimensions) for solving the problem in the word-RAM model. The space usage in bits is sublinear, linear, or near linear in the size of  A , depending on the algorithm."}]