This paper proposes a novel identification technique of constraint condition that the environment imposes on the robot’s end-effector, based on position and force sensing during arbitrary manipulation. In the proposed method, the impedance that constrains the motion of the end-effector is estimated on-line; the uncertainties of the estimates are evaluated; and discontinuous changes of the imped...

The convolutional neural network (CNN) has made great success in many fields, and is gradually being applied edge-computing systems. Taking the limited budget of resources systems into consideration, implementation CNNs on embedded devices preferred. However, accompanying increasingly complex huge cost memory, which constrains its devices. In this paper, we propose an efficient, pipelined convo...

The preferences of users are important in route search and planning. For example, when a user plans a trip within a city, their preferences can be expressed as keywords shopping mall, restaurant, and museum, with weights 0.5, 0.4, and 0.1, respectively. The resulting route should best satisfy their weighted preferences. In this paper, we take into account the weighted user preferences in route ...

Abstract. Monitoring the water movements in karstic areas is a fundamental but challenging task due to complexity of drainage system and difficulty deploying network observations. Gravimetry offers valid complement classical hydrologic measurements order characterize such systems which recharge process causes temporarily accumulation large volumes voids epi-phreatic system. We show an innovativ...

As for the East Asian countries, the total amount of government debt in Korea has risen sharply over the following several years in the wake of the Asian financial crisis. The purpose of this paper is to assess whether the current levels of government debt are sustainable for a severely attacked country, namely, Korea. Under the intertemporal budget constraint model, the study tests for fiscal ...