Abstract: Presented are cloud storage architectures for private data of scanned documents uploaded from smart phone among terminals with enhanced capability of data privacy and survivability. Pre-processing for storing data in IP cloud comprises: transforming multiple first data sets into multiple second data sets at an uploading site, wherein one of said second data sets comprises a weighted sum of said first data sets; storing said second data sets in an IP cloud via IP connectivity; and storing data in multiple data storages linking to said second data sets at said uploading site. In accordance with an embodiment of present invention post processing may comprise recovering said second data sets at a downloading site via IP network.

Abstract: Data files with digital audio envelops may be used for many new applications for cloud computing. The new applications include games and entertainments featuring additional privacy and survivability on data storage and transport on cloud computing. Wavefront multiplexing/demultiplexing process (WF muxing/demuxing) embodying an architecture that utilizes multi-dimensional waveforms has found applications in data storage and transport on cloud. Multiple data sets are preprocessed by WF muxing before stored/transported. WF muxed data is aggregated data from multiple data sets that have been “customized processed” and disassembled into any scalable number of sets of processed data, with each set being stored on a storage site. The original data is reassembled via WF demuxing after retrieving a lesser but scalable number of WF muxed data sets.

Abstract: Data photo files with digital envelops may be used for many new applications for cloud computing. The new applications include games and entertainments featuring additional privacy and survivability on data storage and transport on cloud computing. Wavefront multiplexing/demultiplexing process (WF muxing/demuxing) embodying an architecture that utilizes multi-dimensional waveforms has found applications in data storage and transport on cloud. Multiple data sets are preprocessed by WF muxing before stored/transported. WF muxed data is aggregated data from multiple data sets that have been “customized processed” and disassembled into any scalable number of sets of processed data, with each set being stored on a storage site. The original data is reassembled via WF demuxing after retrieving a lesser but scalable number of WF muxed data sets.

Abstract: Data files with digital envelops may be used for many new applications for cloud computing which enables a user access all his or her applications and documents from anywhere in the world, freeing the user from the confines of the desktop. The accessibility anywhere in the world and anytime in a day among multiple user devices feature additional privacy and survivability on data storage and transport on cloud computing. Wavefront multiplexing/demultiplexing process (WF muxing/demuxing) embodying an architecture that utilizes multi-dimensional waveforms has found applications in data storage and transport on cloud. In addition, multiple data sets are preprocessed by WF muxing before stored/transported. WF muxed data is aggregated data from multiple data sets that have been “customized processed” and disassembled into any scalable number of sets of processed data, with each set being stored on a storage site.

Abstract: Remote video data files with digital multimedia envelops may be used for many new cloud computing applications. Wavefront multiplexing/demultiplexing process (WF muxing/demuxing) embodying an architecture that utilizes multi-dimensional waveforms has found applications in data storage and transport on cloud. Multiple data sets are preprocessed by WF muxing before stored/transported via cloud. WF muxed data is aggregated data from multiple data sets that have been “customized processed” and disassembled into any scalable number of sets of processed data, with each set being stored on a storage site. The original data is reassembled via WF demuxing after retrieving a lesser but scalable number of WF muxed data sets.

Abstract: Presented is a multi-channel data process to utilize wavefront multiplexing for data storage and data stream transport with redundancy on cloud or in a distribution network. This processing features additional applications for multi-media recording and data communications via transponding platforms including satellites, unmanned air vehicles (UAVs), or others for better survivability and faster accessing. Multiple concurrent data streams are pre-processed by a wavefront multiplexer into multiple sub-channels or wavefront components, where signals from respective data streams are replicated into sub-channels. These replicated data streams are linked via a unique complex weighting vector (amplitude and phase or their equivalents), or “wave-front”, which are also linked by various spatially independent wavefronts. Additionally, probing data streams are embedded and linked via some of the independent wavefronts. Aggregated data streams in sub-channels are unique linear combinations of all input data streams.

Abstract: Data files with digital envelops are used (1) for embedded identifiers for digital right management (DRM), and (2) as means delivering additional data or new information via repeated re-broadcasting process by many broadcasting service providers. The new DRM applications offer additional privacy and survivability while data is in storage and/or transported on cloud. Wavefront multiplexing/demultiplexing process (WF muxing/demuxing) embodying an architecture that utilizes multi-dimensional waveforms has found applications in data storage and transport on cloud. Multiple data sets are preprocessed by WF muxing before stored/transported. WF muxed data is aggregated data from multiple data sets that have been “customized processed” and disassembled into any scalable number of sets of processed data, with each set being stored on a storage site. The original data is reassembled via WF demuxing after retrieving a lesser but scalable number of WF muxed data sets.

Abstract: A method of obtaining stem cells includes (1) a subject (such as a human or an animal) taking or being subjected to an action, (2) after the subject taking or being subject to the action, the subject waiting for a predetermined time interval (such as between 30 minutes and 2 hours), (3) after the subject waiting for the predetermined time interval, taking a tissue sample (such as a peripheral blood of the subject) from the subject, and (4) collecting the stem cells from the tissue sample. The step of the subject taking or being subjected to the action may include the subject taking a herb medicine or an object containing fucoidan. The stem cells may be configured for a dental implant surgery. The stem cells may include a CD9(+), CD349(+) cell between 0.1 and 6.0 micrometers in size and/or a Lgr5(+) cell between 0.1 and 6.0 micrometers in size.

Abstract: A method of evaluating an action includes (1) obtaining a first stem-cell data related to a subject before performing the action, (2) performing the action on the subject, (3) obtaining a second stem-cell data related to the subject after performing the action, and (4) identifying the effect of the action on the subject based on the first stem-cell data and the second stem-cell data. The subject may be a human or an animal. The action may be taking a drug or taking a nutrient or dietary supplement, which may include fucoidan. Each of the first and second stem-cell data may include the count of a type or types of stem cells and/or the percentage of the type or types of stem cells and may be obtained by the same method including counting cells using a cell counter or cell counting device such as flow cytometer.

Abstract: Security on data storage and transport are important concerns on cloud computing. Wavefront multiplexing/demultiplexing process (WF muxing/demuxing) embodying an architecture that utilizes multi-dimensional waveforms has found applications in data storage and transport on cloud. Multiple data sets are preprocessed by WF muxing before stored/transported. WF muxed data is aggregated data from multiple data sets that have been “customized processed” and disassembled into any scalable number of sets of processed data, with each set being stored on a storage site. The original data is reassembled via WF demuxing after retrieving a lesser but scalable number of WF muxed data sets. In short, the WF muxed data storage solution enhances data security and data redundancy by, respectively, creating a new dimension to existing security/privacy methods and significantly reducing the storage space needed for data redundancy.

Abstract: A concurrent multi-channel data process is presented to utilize wavefront multiplexing for data storage and data stream transport in a distribution network, with additional applications for multi-media recording and data communications via transponding satellites. Multiple concurrent data streams are pre-processed by a wavefront multiplexer into multiple sub-channels or wavefront components, where signals from respective data streams are replicated into sub-channels. These replicated data streams are linked via a unique phase weighting vector, or “wave-front”, which are also linked by various spatially orthogonal wavefronts. Additionally, probing signals are embedded and linked via some of the orthogonal wavefronts. Aggregated signals in sub-channels are unique linear combinations of all input data streams.