This document contains Manu M.N's resume. It summarizes his career objective, professional experience, technical skills, work experience, projects handled and academic qualifications. Manu has over 3 years of experience in product design and reverse engineering. He is proficient in CAD tools like Creo, SolidWorks and Geomagic Design X. Some of the projects he has worked on include designing a manual assembly workbench for Bosch Rexorth and benchmarking an engine cylinder head for Harita Fehrer. Manu holds a B.E in Mechanical Engineering and is currently working as a Mechanical Design Engineer at MEC Concept India Pvt. Ltd.
This document discusses the importance of doing life together in community. It emphasizes belonging to a community through practicing habits like worship, fellowship, and prayer. It also discusses the root causes of disconnection like separation from God and individualism. Finally, it outlines how to assimilate new people through identifying with the church community in worship, acquainting with members through fellowship, opening up in small groups, and uniting with the church's vision through ministry teams. All in 3 sentences or less.
Claas Meinke has over 30 years of experience in the culinary field working in various roles such as butcher, chef, operations manager, and executive chef. He has worked in Germany, Thailand, Malaysia, Philippines, Vietnam, Indonesia, and has overseen kitchen operations, developed menus, implemented food safety standards, and trained staff. Currently he works as the Western Chef and Chief Butcher at the Sari Pan Pacific Hotel in Jakarta, Indonesia where he oversees the western food department and butchery operations.
This document contains Manu M.N's resume. It summarizes his career objective, professional experience, technical skills, work experience, projects handled and academic qualifications. Manu has over 3 years of experience in product design and reverse engineering. He is proficient in CAD tools like Creo, SolidWorks and Geomagic Design X. Some of the projects he has worked on include designing a manual assembly workbench for Bosch Rexorth and benchmarking an engine cylinder head for Harita Fehrer. Manu holds a B.E in Mechanical Engineering and is currently working as a Mechanical Design Engineer at MEC Concept India Pvt. Ltd.
This document discusses the importance of doing life together in community. It emphasizes belonging to a community through practicing habits like worship, fellowship, and prayer. It also discusses the root causes of disconnection like separation from God and individualism. Finally, it outlines how to assimilate new people through identifying with the church community in worship, acquainting with members through fellowship, opening up in small groups, and uniting with the church's vision through ministry teams. All in 3 sentences or less.
Claas Meinke has over 30 years of experience in the culinary field working in various roles such as butcher, chef, operations manager, and executive chef. He has worked in Germany, Thailand, Malaysia, Philippines, Vietnam, Indonesia, and has overseen kitchen operations, developed menus, implemented food safety standards, and trained staff. Currently he works as the Western Chef and Chief Butcher at the Sari Pan Pacific Hotel in Jakarta, Indonesia where he oversees the western food department and butchery operations.
从学术典藏库(IR)到当前科研信息系统(CRIS) [Moving from an IR to a CRIS (Current Research Info...David T Palmer
IRs collect, manage and display publications, and their metadata. However, an institution’s research, expertise and capacity is described by more than publications. The HKU Scholars Hub, hosted in DSpace, began as the IR of The University of Hong Kong (HKU) in 2005. Asking for voluntary deposit of publications from HKU academics, it received little notice, and more importantly, little support from University senior management. In 2009 a new HKU initiative, Knowledge Exchange, adopted the Hub as a key vehicle to share knowledge and skill with the community outside HKU. With funding support from the Office of KE, we extended the data model of DSpace to include relational tables on non-publication objects, including people, grants, and patents, holding attributes of these objects, such as co-investigators, co-inventors, co-prize winners, research interests, languages spoken, supervision of postgraduate theses, etc. The DSpace user interface now delivers an integrated search and display on these objects and attributes, as well as on ones newly derived, such as authority work on name disambiguation and synonymy in Roman and Hanzi (漢字), visualizations on networks of co-authors, co-investigators, etc, metrics extracted from external sources such as Scopus, WoS, PubMed, Google Scholar Citations, internal alt-metrics of view and download counts, and more. Beyond the functions of an IR, the Hub now performs as a system for reputation management, impact management, and research networking and profiling -- all of which are concepts included in the broad term, “Current Research Information System” (CRIS). These new objects and attributes curated from several trusted sources, and integrated into the present mashup, contextualize and highlight HKU research, and attract more hits, than an IR with only publications. The HKU Office of Knowledge Exchange has now funded the modularization of these new HKU features of DSpace. Together with our partner, CINECA of Italy, we are making this work available in open source for the DSpace community.
从学术典藏库(IR)到当前科研信息系统(CRIS) [Moving from an IR to a CRIS (Current Research Info...David T Palmer
IRs collect, manage and display publications, and their metadata. However, an institution’s research, expertise and capacity is described by more than publications. The HKU Scholars Hub, hosted in DSpace, began as the IR of The University of Hong Kong (HKU) in 2005. Asking for voluntary deposit of publications from HKU academics, it received little notice, and more importantly, little support from University senior management. In 2009 a new HKU initiative, Knowledge Exchange, adopted the Hub as a key vehicle to share knowledge and skill with the community outside HKU. With funding support from the Office of KE, we extended the data model of DSpace to include relational tables on non-publication objects, including people, grants, and patents, holding attributes of these objects, such as co-investigators, co-inventors, co-prize winners, research interests, languages spoken, supervision of postgraduate theses, etc. The DSpace user interface now delivers an integrated search and display on these objects and attributes, as well as on ones newly derived, such as authority work on name disambiguation and synonymy in Roman and Hanzi (漢字), visualizations on networks of co-authors, co-investigators, etc, metrics extracted from external sources such as Scopus, WoS, PubMed, Google Scholar Citations, internal alt-metrics of view and download counts, and more. Beyond the functions of an IR, the Hub now performs as a system for reputation management, impact management, and research networking and profiling -- all of which are concepts included in the broad term, “Current Research Information System” (CRIS). These new objects and attributes curated from several trusted sources, and integrated into the present mashup, contextualize and highlight HKU research, and attract more hits, than an IR with only publications. The HKU Office of Knowledge Exchange has now funded the modularization of these new HKU features of DSpace. Together with our partner, CINECA of Italy, we are making this work available in open source for the DSpace community.
TensorFlow is an open source neural network library for Python and C++. It defines data flows as graphs with nodes representing operations and edges representing multidimensional data arrays called tensors. It supports supervised learning algorithms like gradient descent to minimize cost functions. TensorFlow automatically computes gradients so the user only needs to define the network structure, cost function, and optimization algorithm. An example shows training various neural network models on the MNIST handwritten digit dataset, achieving up to 99.2% accuracy. TensorFlow can implement other models like recurrent neural networks and is a simple yet powerful framework for neural networks.
