This inventor holds 1 USPTO granted patent. Top assignee: Nokia Siemens Networks Oy. Active years: 2008.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2008
Title: Pekko Vehviläinen: Innovator in Data Processing Techniques
Introduction
Pekko Vehviläinen is a notable inventor based in Tampere, Finland. He has made significant contributions to the field of data processing, particularly in the area of cyclic phenomena. His innovative approach has led to the development of a unique clustering technique that enhances the understanding of complex data behaviors.
Latest Patents
Pekko Vehviläinen holds a patent for a "Clustering technique for cyclic phenomena." This patent describes a data processing system that processes data arrays representing the cyclic behavior of variables across multiple entities in a physical process. The system includes an input routine that receives multiple data arrays, each containing data items that describe a variable of an entity in a specific time slot. A magnitude-determination routine identifies specific magnitude parameters, such as average or peak, for each entity. The data arrays are then scaled to maintain their shape while suppressing the specific magnitude parameters. Finally, a training routine trains a clustering system to determine a set of cluster centers, which are applied to the scaled data arrays.
Career Highlights
Pekko Vehviläinen is currently employed at Nokia Siemens Networks Oy, where he continues to work on innovative data processing solutions. His expertise in this field has positioned him as a valuable asset to his company and the broader technological community.
Collaborations
Pekko has collaborated with notable colleagues, including Kimmo Hätönen and Pekka Kumpulainen. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.
Conclusion
Pekko Vehviläinen's contributions to data processing through his patented clustering technique exemplify the impact of innovative thinking in technology. His work not only advances the field but also inspires future developments in data analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
