Quantum entangled Brain Storm Optimization is used to predict the success rate for Pesticide Residue detection Smart Phone APP through Fog Computing over 5G network.

1. An Quantum Brain Storm Optimization for
Fog Computing in 5G
ByBy
Qiong Wu, Tong Xu,Jun S. Huang and Ke Jiang
Rooster Year, 2017

2. About the Authors
Qiong Wu, Associate Professor
吴琼
Tong Xu, Jiangsu
徐童
 Jun Steed Huang, Principal Engineer
黄骏
Ke Jiang, JiangsuKe Jiang, Jiangsu
蒋可蒋可

3. Outline
 Quantum Effect
 The Spooky Secret
 Superluminal Phenomenon
 Brain Storm Optimization
 Swarm Intelligence Algorithms
 Tribe and Ethnic Clusters
 Fog Computing in 5G
 Distributed or Centralized
 Moving or Stationary
 Summary

4. Quantum Effect
Your never know

5. International Conference on Social Science [ICSS2014]
The Spooky Secret:
Superluminal
phenomenon totally
violates the special
theory of relativity,
which says nothing’s
speed exceeds light
speed.
Further more, as of
today, no one knows
what’s behind the
strange phenomenon. 2 2

6. Superluminal Phenomenon
—Space time are naturally broken
Experiment 1 (higher latitude on mountain): In 2008,
Geneva researchers found that the quantum
entanglement is much faster than 10,000 times of
speed of light.
Experiment 2 (lower latitude at sea level): In 2013,
Qingdao scientists concluded that, it is 9931 times
around the speed of light.
∵ E = m c (3+1)/2
= m g e/2
∩ e = 2.71828182846 c = 299792458 m / s
∴ g/c = 9930.509917796768180071686850124

7. Hendrik Anton Lorentz & George Francis
FitzGerald …

8. 2D is the essential world: going out the
wormhole

9. 2D is the essential home : coming back the
same way
Phoenix

10. Qubit states

11. You knew what you want
Brain Storm
Optimization

12. International Conference on Social Science [ICSS2014]
Most swarm intelligence
algorithms are inspired by
simple self-designed synergy,
Particle Swarm Optimization
is inspired by synergistic
effect by birds,
Ant Colony algorithm is
inspired by synergistic effect
by ants and
Fire Flies optimization
algorithm is inspired by
synergistic effect by fire flies,
Brain Storm Optimization
algorithms inspired by
synergistic effect by us - the
most intelligent creature!
PSO

13. International Conference on Social Science [ICSS2014]
In the BSO algorithm, the
solutions are clustered into
several categories, and the
new solutions are generated
by the mutation of cluster or
existing solutions.
The BSO algorithm can be
seen as a combination of
swarm intelligence and data
mining techniques.
Every individual in the brain
storm optimization algorithm
is not only a solution to the
problem to be optimized, but
also a data point to reveal the
landscapes of the problem.
BSO

14. What is the ethnic clustering?
It means that, in a city, one area will be
predominately asian,
one area will be primarily black,
one area will be predominately white, etc
Observation: If an area's economy is growing,
existing communities draw immigrants; if it isn't,
then the population doesn't change.
Conclusion: To evolve a solution, the cluster
must be changed persistently.

15. 26 Swarm Optimizations
ASO: Ants colony
BSO: Brain storming
CSO: Chicken rooster
DSO: Duck friendly
ESO: Eel gender
FSO: Firefly flashing
GSO: Gorilla troops
HSO: Honey bee
ISO: Impala bachelor
JSO: Jackal pairs
KSO: Kangaroo mobs
LSO: Little brown bat
MSO: Monkey tribe

16. 26 Swarm Optimizations
NSO: Nile crocodile
OSO: Otter play
PSO: Particle swarm
QSO: Quail flock
RSO: Rat invasion
SSO: Swan wedge
TSO: Timber wolf
USO: Urial herd
VSO: Vulture kettle
WSO: Whale travel
XSO: Xerus watch
YSO: Yak herd
ZSO: Zebra run

17. In the BSO algorithm, the
solutions are clustered into
several categories, and the
new solutions are generated
by the mutation of cluster or
existing solutions.
The BSO algorithm can be
seen as a combination of
swarm intelligence and data
mining techniques.
Every individual in the brain
storm optimization algorithm
is not only a solution to the
problem to be optimized, but
also a data point to reveal the
landscapes of the problem.
Qubit-BSO
|0> |1>
Fitness
β α
warmholes
positive negative

18. Fog Computing in 5G
You may not get what you want

19. Distributed or Centralized
Cloud Computing is too slow, as
the server farm is too far from
you.
Edge Computing is too small, as
the server has limited items in
there.
Fog Computing is neither slow,
nor small

20. Moving or Stationary
Mobile Cloud Computing is too
slow, as the wireless pipe is not
solid.
Mobile Edge Computing is not
fast, as there are many users.
Fog Computing in 5G is fast, and
rocket solid.

21. Trace down pesticides

22. SUMMARY
Fog is not Given, but Made! So is the5G!!

23. Quantum brains sat in both local
minimum clusters at the same time
BSO-0 fitness is BSO-1 probability
BSO-1 fitness is BSO-0 probability
The fitness is given by (∑x1.5
)1/1.5
M*S1*S2 = E*T1*T2
T2
T1

24. M*S1*S2 = E*T1*T2
T2
T1
Portable pesticide detection uploading downloading
fog

25. Only after your smart phone
APP randomly accessed one
of the servers through
randomly selected fog nodes
based on randomly sampled
food from the randomly
picked up boxes, will you
know, for sure, if the food
contains poison pesticide or
not?

27. Thank you!
Questions?