Full utilization of renewable energy resources is a difficult task due to the constantly changing demand-side load electrical grid. Demand-side management would solve this crucial problem. To enable management, knowledge about composition grid required, as well ability schedule individual loads. There are proposed Smart Plugs presented in literature capable such tasks. The problem, however, tha...

Open answer set programming (OASP) is an extension of answer set programming where one may ground a program with an arbitrary superset of the program’s constants. We define a fixed point logic (FPL) extension of Clark’s completion such that open answer sets correspond to models of FPL formulas and identify a syntactic subclass of programs, called (loosely) guarded programs. Whereas reasoning wi...

Person re-identification is becoming a hot research for developing both machine learning algorithms and video surveillance applications. The task of person re-identification is to determine which person in a gallery has the same identity to a probe image. This task basically assumes that the subject of the probe image belongs to the gallery, that is, the gallery contains this person. However, i...

Abstract In this paper, we extend Open-set Semantic Segmentation (OSS) into a new image segmentation task called Generalized (GOSS). Previously, with well-known OSS, the intelligent agents only detect unknown regions without further processing, limiting their perception capacity of environment. It stands to reason that analysis detected pixels would be beneficial for agents’ decision-making. Th...

How can we accurately identify new memory workloads while classifying known workloads? Verifying DRAM (Dynamic Random Access Memory) using various is an important task to guarantee the quality of DRAM. A crucial component in process open-set recognition which aims detect not seen training phase. Despite its importance, however, existing methods are unsatisfactory terms accuracy since they fail ...