CNC wishes to obtain the services of Consultant for certain purposes and Consultant wishes to provide such services, all subject to the terms and conditions of this Agreement.
CNC. The Company will pay to you $1,250,000 as compensation for the performance of your confidentiality, non-competition and other obligations under the CNC Agreement. The CNC payment will be made to you in 12 consecutive, monthly installments of $104,166.67 each beginning in October 2020, and ending in September 2021.
CNC. China shall comply with the relevant provisions of the listing rules of the SEHK and the laws and regulations of the PRC in its exercise of the pre-emptive right pursuant to this Clause 10.
CNC controller Data acquisition unit Data acquisition unit 1 COPYRIGHT SANDVIK COROMANT Picture 14: Sandvik Coromant pilot set-up (Copyright – Sandvik Coromant) A challenge is to be able to capture and interlink all wanted data from a large number of machine tools and machining operations, and to be able to use these large data sets for comprehensive analyses (also including identification of meta-knowledge). Efficient methods and tools are necessary in order to be able to implement, verify and validate functional products and related models, processes and software tools. In addition, needed is to support identification of the important customer values, i.e. both spoken and unspoken customer needs. Monitoring and efficient usage of large data streams from many different sources, both internal and external ones, enables the support for sustainable machining solutions. The data parameters to monitor and collect can be grouped into the three main categories, i.e. process, resources (equipment/machines) and product data. A detailed categorization and classification of data and data sources, as well as data quality issues are needed to be dealt with during the project. The data collected during the project originates from e.g. the machine shown in picture 15. In essence, the purpose is to capture relevant information that can be related to the machining of a component and interlink these with parameters related to the resources and the product data. The process-related parameters include data before, during and after the machining process. By capturing process data and combine these with data from resources and product data a comprehensive view of the machining situation will be available and represent knowledge. This will improve collaboration in the PLM and facilitate development of new solutions, process improvements, and trouble- shooting as well as to efficiently validate and verify models, software tools and procedures used in the functional product itself. Further, both a proactive and reactive view can be applied. Picture 15: Test Milling Machine used for the SmartVortex ISP-2 scenario
CNC. [*] Certain information on this page has been omitted and filed separately with the Securities and Exchange Commission. Confidential treatment has been requested with respect to the omitted portions. warrants and represents that it shall provide said 900,000 shares to the Optionees under the agreement.
CNC controller Data acquisition unit Data acquisition unit 1 COPYRIGHT SANDVIK COROMANT Picture 16: Sandvik Coromant pilot set-up (Copyright – Sandvik Coromant) A challenge is to be able to capture and interlink all wanted data from a large number of machine tools and machining operations, and to be able to use these large data sets for comprehensive analyses (also including identification of meta-knowledge). Efficient methods and tools are necessary in order to be able to implement, verify and validate functional products and related models, processes and software tools. In addition, needed is to support identification of the important customer values, i.e. both spoken and unspoken customer needs. Monitoring and efficient usage of large data streams from many different sources, both internal and external ones, enables the support for sustainable machining solutions. The data parameters to monitor and collect, can be grouped into the three main categories, i.e. process, resources (equipment/machines) and product data. A detailed categorization and classification of data and data sources, as well as data quality issues are needed to be dealt with during the project. The data collected during the project originates from the machine below:
CNC. CNC shall maintain at least an [*] connection --- success rate averaged during the peak hour as measured by [*]. If CNC fails to meet this connection success standard, then notwithstanding Section 6.2.2, CNC will immediately prepare a mutually agreed upon action plan and CNC will have [*] to cure. The action plan will include the right for WNI to [*] until CNC achieves the connection success performance standard. Once CNC achieves the connection success performance standard WNI will ramp up to the Virtual Port Commitment level in effect prior to any reduction; commensurate with CNC's capacity. During the months of [*] this connection success performance standard is waived by WNI and CNC shall have not liability for any failure to achieve it.
CNC. CNC agrees to provide the Virtual Port capacity --- as measured by the CNC simultaneous port tool to satisfy the current Virtual Port Commitment level. CNC will [*] Certain information on this page has been omitted and filed separately with the Securities and Exchange Commission. Confidential treatment has been requested with respect to the omitted portions. ensure that its network will accommodate the number of simultaneous connections, as measured by the CNC simultaneous port tool, equal to the current Virtual Port Commitment. In any given calendar month, [*].
CNC is a network and Internet service provider offering IntraLATA and InterLATA (hereinafter defined) services, with particular emphasis on Virtual Private Network ("VPN") and similar services offered to small and medium sized business customers.
CNC. The Borrower shall:
