research institute for industrial computing (rinsic)
TRANSCRIPT
Research Institute for Industrial Computing (RINSIC)
Linkerd Decentralized Delivery with Blockchain● RINSIC enhances the scientific and engineering cooperation to move negative
issues through societal experience by comprehending and solving the
fundamental problems.
● RINSIC is operated as a nonprofit private and knowledge-hub institute for
industrial development and economic growth.
● Research Theme: Big Data, Bioinformatics, Blockchain and Industrial
Informatics. We’re driven by innovative passion as humble problem-solving
leaders in industries; not limited to supply chain, genomics, telecom, etc.
Urine Procalcitonin Level in the Diabetes Mellitus Patients with
Urinary Tract Infection
#08, 3rd Floor, Kakap commune, Porsenchey District, Phnom Penh, Cambodia
Conclusion
We develop JBrowse within RINSIC and further seek genomic
research cooperation for public study.
● RINSIC is open to cooperate with private and public sector on the fundamental issues
for positive socio-eco impact, while trains the future leaders within their own research of
interest.
● We publish research report, paper and data for public study under mutual agreement.
● All members and partners in RINSIC are among the most active people with years of
academy and working experience in China, Malaysia, Japan, Korea, Singapore, etc.
Global Protein Interaction Based on Epigenetics Genotype
in Breast Cancer (MCF-7)
Research Case Study: Distance Optimization, E-market and
Product Trending Estimation Vutha P., et al. 2016, 2017, 2018 and 2019 (TiTech, ACIS and RINSIC)
LinkerD Decentralized Delivery with Blockchain
Vutha P., et al. 2011, 2012, 2013, 2014 (TiTech, ISMB, InCob, and CBI)
Sothearith S., et al. 2019 (LinkerD)
+855 - 96 - 541 – 3718
+855 - 12 – 995 - 945 [email protected]
Negotiation-Base Model with Deep Neural Network and Monte
Carlo Tree Search: Case Study Settlers of Catan
ROC is developed to verify clinical significant in urine procalcitonin level with non-
previous study of Urine PCT.
Our members have actively contributed to either full or part to the research issues in
which allows us to obtain a deeper insight of industrial informatics for economic growth
with more digital connectivity.
Under joint study of RINSIC and LinkerD, we developed decentralized delivery
with Blockchain, while LinkerD is operated as the self-decision provider to
empower user with best cost and time efficiency.
Povkanha H., et al. Modern Biomedicine. Mar 2019.
Introduction
Makara P., et al. 2017 (KAIST)
Deep Convolutional Neural
Network on data generated by
Monte Carlos Tree Search
Simulation to predict next step
of gameplay with remarkable
accuracy.
Vutha P. 2019 (RINSIC)