Sagamihara, Japan

Yumiko Sugita


Average Co-Inventor Count = 3.0

ph-index = 5

Forward Citations = 124(Granted Patents)


Location History:

  • Musashino, JP (1994 - 1995)
  • Kanagawa, JP (2009)
  • Sagamihara, JP (1996 - 2010)

Company Filing History:


Years Active: 1994-2010

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8 patents (USPTO):Explore Patents

Title: Yumiko Sugita: Innovator in Memory Management Technology

Introduction

Yumiko Sugita is a prominent inventor based in Sagamihara, Japan. She has made significant contributions to the field of memory management technology, holding a total of 8 patents. Her innovative work focuses on reducing power consumption in memory systems, which is crucial for enhancing the efficiency of computing devices.

Latest Patents

One of her latest patents is a "Power consumption decrease memory management method." This invention allows for a reduction in the power consumed by memory without compromising performance. The method involves controlling the power state of memory ranks, ensuring that only the necessary memory areas are active while others remain inactive to save energy. Another notable patent is the "System and method of reducing power consumption of a main memory." This technology effectively minimizes power usage in memory systems while maintaining operational efficiency, allowing processors to access memory more effectively.

Career Highlights

Yumiko Sugita is currently employed at Hitachi, Ltd., where she continues to develop innovative solutions in memory management. Her work has been instrumental in advancing the capabilities of memory systems, making them more energy-efficient and reliable.

Collaborations

Yumiko collaborates with talented colleagues such as Shinji Kimura and Katsuhisa Ogasawara. Together, they work on various projects aimed at enhancing memory technology and addressing the challenges of power consumption in computing.

Conclusion

Yumiko Sugita's contributions to memory management technology highlight her role as a leading inventor in her field. Her innovative patents not only improve the efficiency of memory systems but also pave the way for more sustainable computing solutions.

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