Artificial Metrics of Electric Devices and Their Applications

An Identification of artificial objects is lately receiving much attention for two reasons: the problem of counterfeiting of artificial objects, such as goods that use brand names, in international trade and the necessity of achieving a secure communication in the Internet of Things (IoT), which is a network of artificial objects that are embedded with network connectivity. To identify artificial objects, “fingerprints” of artificial objects, introduced during manufacturing and non-separable characteristics from artificial objects themselves, have to be discovered. This article reports fingerprints for acceleration sensors, flash memory, non-Foster matching circuits and elemental techniques for identifying fingerprints or measuring fingerprints with stability. This article demonstrates an encoding method for recording fingerprints securely in a distributed storage system

Basic Reseach on the Simulation of "Sensibility Information Processing"

We have studied the information processing of human sensibility from various approaches. In an approach from information retrieval theory, we constructed a "sensibility information retrieval system" which extracts words expressing human feelings from a novel and analyzes the chronological structure of the novel. Novels are thus classified into those with increasing-sadness, those with happy-endings, etc. In an approach from psychology, we constructed a model which simulates the process of evoking emotion. Words expressing feelings are classified, and the influence of past experiences and the effects on future actions are investigated by experiments. In an approach from business management, we point out that the study of sensibility information has a good applicability in the decision making system of an organization because the feelings of its members are crucial in making decisions. In particular, we emphasize that a "good morale" among organizational members is essential in avoiding serious accidents. From a device approach, we study the signal processing of electrical data trains using a modulated laser diode, and propose a potential application to the microwave phase shifter with small variations in amplitude

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements