Abstract: A machine learning apparatus learns a radio wave propagation state between a first radio device and a second radio device. The machine learning apparatus includes an acquisition unit and a learning unit. The acquisition unit acquires first information in order to obtain at least one state variable. The first information is related to something between the first radio device and the second radio device. The learning unit learns the state variable and the radio wave propagation state in association with each other.

Abstract: The purpose of the present invention is to provide a technique for estimating position information of a moving device without it being possible for a sensor installed in the environment to observe the moving device. On the bases of first position information, which is acquired by a first moving object acquisition receiver and which is position information of one or more first moving bodies present in the periphery of a first sensor (an autonomous sensor), and second position information, which is acquired by a second moving object acquisition receiver and which is position information of one or more second moving bodies present in the periphery of a second sensor (an infrared sensor), the information processing device compares the positional relation between the first moving object and the second moving object and estimates the position information of the moving device.

Abstract: A mobile node simulator (100) includes: a behavior simulator section (140) for simulating behaviors of a plurality of mobile nodes in accordance with a behavior model, the behavior model being definable by a user; and a network simulator section (120) for simulating a communication on a network including the plurality of mobile nodes. A network application (180) targeted for an evaluation of a simulation is implemented on the network simulator section (120). The network simulator section (120) is configured to output an output from the network application (180) to the behavior simulator section (140) at each simulation time t. The behavior simulator section (140) is configured to be capable of changing a behavior of at least one of the plurality of mobile nodes in accordance with the behavior model in response to the output from the network application (180).