As digital data circulation increases,information pollution and manipulation in journalism have become more prevalent.In this study,a new digital journalism model is designed to contribute to the solution of the main ...As digital data circulation increases,information pollution and manipulation in journalism have become more prevalent.In this study,a new digital journalism model is designed to contribute to the solution of the main current problems,such as information pollution,manipulation,and account-ability in digital journalism.The model uses blockchain technology due to its transparency,immutability,and traceability.However,it is tough to provide the mechanisms necessary for journalism,such as updating one piece of information,instantly updating all other information affected by the updated information,establishing logical relationships between news,making quick comparisons,sorting and indexing news,and keeping the changing informa-tion about the news in the system,with the blockchain data structure.For this reason,in our study,we have developed a new data structure that provides both the immutability,transparency and traceability properties of the blockchain and can support the communication mechanisms necessary for journalism.The functionality of our proposed data structure is demonstrated in terms of communication mechanisms such as mutability,context,consistency,and reliability through example scenarios.Additionally,our data structure is compared with the data structure of blockchain technology in terms of time,space,and maintenance costs.Accordingly,while the model size increases linearly in blockchain,the model’s size remains approximately constant since the structure we developed is data-independent.In this way,maintenance costs are reduced.Since our model also has an indexing mechanism,it reduces the linear time search complexity to logarithmic time.As a result,the data structure we developed is found to have higher performance than blockchain in the journalism concept.In future studies,it is planned to test all aspects of the model with a pilot application,eliminate its shortcomings,and develop a holistic approach to the root causes of the problems in the journalism focus.展开更多
A new algorithm is developed to achieve accurate state estimation in ground moving target tracking by means of using road information. It is an adaptive variable structure interacting multiple model estimator with dyn...A new algorithm is developed to achieve accurate state estimation in ground moving target tracking by means of using road information. It is an adaptive variable structure interacting multiple model estimator with dynamic models modification （DMM VS-IMM for short）. Firstly, road information is employed to modify the target dynamic models used by filter, including modification of state transition matrix and process noise. Secondly, road information is applied to update the model set of a VS-IMM estimator. Predicted state estimation and road information are used to locate the target in the road network on which the model set is updated and finally IMM filtering is implemented. As compared with traditional methods, the accuracy of state estimation is improved for target moving not only on a single road, but also through an intersection. Monte Carlo simulation demonstrates the efficiency and robustness of the proposed algorithm with moderate computational loads.展开更多
文摘As digital data circulation increases,information pollution and manipulation in journalism have become more prevalent.In this study,a new digital journalism model is designed to contribute to the solution of the main current problems,such as information pollution,manipulation,and account-ability in digital journalism.The model uses blockchain technology due to its transparency,immutability,and traceability.However,it is tough to provide the mechanisms necessary for journalism,such as updating one piece of information,instantly updating all other information affected by the updated information,establishing logical relationships between news,making quick comparisons,sorting and indexing news,and keeping the changing informa-tion about the news in the system,with the blockchain data structure.For this reason,in our study,we have developed a new data structure that provides both the immutability,transparency and traceability properties of the blockchain and can support the communication mechanisms necessary for journalism.The functionality of our proposed data structure is demonstrated in terms of communication mechanisms such as mutability,context,consistency,and reliability through example scenarios.Additionally,our data structure is compared with the data structure of blockchain technology in terms of time,space,and maintenance costs.Accordingly,while the model size increases linearly in blockchain,the model’s size remains approximately constant since the structure we developed is data-independent.In this way,maintenance costs are reduced.Since our model also has an indexing mechanism,it reduces the linear time search complexity to logarithmic time.As a result,the data structure we developed is found to have higher performance than blockchain in the journalism concept.In future studies,it is planned to test all aspects of the model with a pilot application,eliminate its shortcomings,and develop a holistic approach to the root causes of the problems in the journalism focus.
基金Foundation item： National Natural Science Foundation of China （60502019）
文摘A new algorithm is developed to achieve accurate state estimation in ground moving target tracking by means of using road information. It is an adaptive variable structure interacting multiple model estimator with dynamic models modification （DMM VS-IMM for short）. Firstly, road information is employed to modify the target dynamic models used by filter, including modification of state transition matrix and process noise. Secondly, road information is applied to update the model set of a VS-IMM estimator. Predicted state estimation and road information are used to locate the target in the road network on which the model set is updated and finally IMM filtering is implemented. As compared with traditional methods, the accuracy of state estimation is improved for target moving not only on a single road, but also through an intersection. Monte Carlo simulation demonstrates the efficiency and robustness of the proposed algorithm with moderate computational loads.
