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The book presents findings of anthropological studies conducted by
researchers from Agricultural Technology Demonstration Center in a
number of African countries, including Zimbabwe, Ethiopia,
Tanzania, and Mozambique. The aim of these ethnological studies is
to understand the Center's experience in these countries as well as
the way it works in terms of institutional arrangement, interaction
between Chinese and local staff and technology transfer. A basic
contention of the book is that insofar as these Centers showcase
China's achievements in domestic development for purpose of sharing
the country's experiences with host countries, what they do
essentially points toward a new and innovative approach to foreign
aid.
The book presents findings of anthropological studies conducted by
researchers from Agricultural Technology Demonstration Center
in a number of African countries, including Zimbabwe,
Ethiopia, Tanzania, and Mozambique. The aim of these
ethnological studies is to understand the Center’s experience in
these countries as well as the way it works in terms of
institutional arrangement, interaction between Chinese and
local staff and technology transfer. A basic contention of
the book is that insofar as these Centers showcase
China’s achievements in domestic development for purpose of
sharing the country’s experiences with host countries, what
they do essentially points toward a new and innovative
approach to foreign aid.
This open access handbook analyses the role of development
cooperation in achieving the 2030 Agenda in a global context of
'contested cooperation'. Development actors, including governments
providing aid or South-South Cooperation, developing countries, and
non-governmental actors (civil society, philanthropy, and
businesses) constantly challenge underlying narratives and norms of
development. The book explores how reconciling these differences
fosters achievement of the Sustainable Development Goals.
In this book a distributed algorithm for coordinate- free Wireless
Sensor Networks to elect a small subset of nodes achieving full
coverage is introduced. To the best of the authors' knowledge, this
is the first time that a practical and efficient algorithm for
electing a sub-optimal subset of nodes for full coverage is
introduced only using connectivity information. It also provides an
efficient way to detect accurate boundary of un-triangulated holes
and recovery them in Wireless Sensor Networks. A distributed hole
recovery (DHR) algorithm is also introduced, which is executed on
the nodes which define the hole boundary. It iteratively activates
only those redundant nodes required to recover the hole. Each node
knows about nodes only one or two hops away, as well as information
about the connectivity between the boundary nodes enclosing the
hole. Another Distributed Boundary Detection (DBD) algorithm for
coordinate-free Wireless Sensor Networks is also introduced. It
requires only 2-hop neighbor information for each node regardless
of node density and network topology.
Discover Topology Using Connectivities A distributed
coordinate-free topology aware algorithm called Triangular Mesh
Self-organized self- Healing (3MeSH) is introduced to detect
boundaries of coverage holes using connectivity information, and
recover such holes by activating the minimum number of redundant
nodes using a distributed iterative process. A routing hole can be
detected in almost the same way as a coverage hole, therefore
routing holes, jamming holes, sink/black holes and worm holes may
also be detected or avoided using exactly the same algorithm
(3MeSH). A probabilistic model is also introduced to calculate the
probability of triangulation for any position in a randomly
deployed sensor network given the node density. Another
mathematical model is introduced to calculate the mean size of
holes. Based on these models, the expected number of holes and the
probability of complete coverage are formulated for a sensor
network with any node density and target area.
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