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Hiroshi Yoshida

Researcher at Tohoku University

Publications -  222
Citations -  3837

Hiroshi Yoshida is an academic researcher from Tohoku University. The author has contributed to research in topics: Signal & Amplifier. The author has an hindex of 31, co-authored 219 publications receiving 3698 citations. Previous affiliations of Hiroshi Yoshida include Toshiba.

Papers
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Journal ArticleDOI

A 950-MHz rectifier circuit for sensor network tags with 10-m distance

TL;DR: In this article, the authors presented a 950-MHz wireless power transmission system and a high-sensitivity rectifier circuit for ubiquitous sensor network tags, which offers a battery-life-free sensor tag by recharging the output power of a base station into a secondary battery implemented with the tag.
Journal ArticleDOI

Isolation and structural elucidation of new cyclotetrapeptides, trapoxins A and B, having detransformation activities as antitumor agents.

TL;DR: New cyclotetrapeptides, trapoxins A and B were isolated from the culture broth of Helicoma ambiens RF-1023 and exhibit detransformation activities against v-sis oncogene-transformed NIH3T3 cells (sis/NIH 3T3) as antitumor agents.
Patent

Cognitive radio system

TL;DR: In this article, a cognitive radio system includes a state detecting device that scans a frequency band allocated to another radio system than the CR system to detect a first use state of the frequency band; a first server including a first gathering unit that receives first information relating to the first use-state and a second gathering unit; a second server that stores a second use-State of the spectrum allocated to the other radio system; and a notifying unit that notifies a CR system of information of an available channel based on the first information and the second information.
Journal ArticleDOI

Cerebrospinal Fluid Amyloid β1–42 Levels in the Mild Cognitive Impairment Stage of Alzheimer's Disease

TL;DR: CSF-tau and CSF-A beta(1-42) must be used as two distinct biomarkers that should be applied appropriately in clinical settings to help in detecting MCI subjects who are predicted to develop AD.