Microsoft Technology Licensing, LLC

Mitsui Chemicals, Inc.

Agency for Science, Technology and Research

Qian Zhang

Wenwu Zhu

Jiangchuan Liu

Xinyan Zhang

Yongqiang Xiong

Satoru Miyazoe

Hongbin Liao

Hideuyki Ito

Sachin Shivaji Malwadkar

It is an object of the present invention to provide a catalyst that is excellent in stability even at a high catalyst-regeneration temperature. It is another object of the present invention to provide a process for producing an aromatic hydrocarbon from a lower hydrocarbon by using the above catalyst. The catalyst composition comprises molybdenum, a second metal that is not molybdenum, and a crystalline metallosilicate, wherein the content of molybdenum is 1 to 20% by weight in terms of a molybdenum atom, and the content of the second metal is 2 to 20% by weight in terms of a metal atom.

Catalyst composition and process for producing aromatic hydrocarbon using the catalyst composition

A method and system for encoding a mark-up language document is provided, in which, the structure of the mark-up language document is condensed by removing those parts of the structure that are fixed, and by expressing the variable parts of the structure in terms of whether or how often they occur. A template that specifies which parts of the structure are fixed and which parts are variable may be provided to both the device that is transmitting the mark-up language document and the device that is receiving the mark-up language document.

Method and system for encoding a mark-up language document

A framework and method for quality of service (QoS) aware resource discovery in mobile ad hoc networks are presented. Self-organized discovery agents manage the directory information that describes the network resources available for use by clients. In one embodiment, hash indexing of available resources is utilized. The discovery agents also partition the network into domains and collect intra- and inter-domain QoS information. This information is used to allow clients to select appropriate resource providers. This framework and method has low discovery latency and cost in terms of the number of packets for each resource discovery query.

Framework and method for QoS-aware resource discovery in mobile ad hoc networks

A network performance (e.g., latency and bandwidth) measurement infrastructure for large scale networks based on self-organized probing groups of devices. Each group of devices has a lead device that measures network characteristics, and then shares the measurement information with other devices. This grouping method reduces the amount of network bandwidth needed for adequate measurements, while still providing necessary information to individual devices. The system utilizes a novel multicast-based algorithm that is adopted for both intra-group and inter-group performance measurement. The measurement groups (MeGroups) are dynamic and self-forming, and use a set of heuristic algorithms to optimize the dynamic groupings.

Peer-to-peer based network performance measurement and analysis system and method for large scale networks

A peer-to-peer (P2P) probing/network quality of service (QoS) analysis system utilizes a UDP-based probing tool for determining latency, bandwidth, and packet loss ratio between peers in a network. The probing tool enables network QoS probing between peers that connect through a network address translator. The list of peers to probe is provided by a connection server based on prior probe results and an estimate of the network condition. The list includes those peers which are predicted to have the best QoS with the requesting peer. Once the list is obtained, the requesting peer probes the actual QoS to each peer on the list, and returns these results to the connection server. P2P probing in parallel using a modified packet-pair scheme is utilized. If anomalous results are obtained, a hop-by-hop probing scheme is utilized to determine the QoS of each link. In such a scheme, differential destination measurement is utilized.

Growing community of inventors

Wuhan, China

Qian Zhang