Ryoichi Shinkuma received the B.E., M.E., and Ph.D. degrees in communications engineering from Osaka University, Japan, in 2000, 2001, and 2003, respectively. In 2003, he joined the Faculty of Communications and Computer Engineering, Graduate School of Informatics, Kyoto University, Japan, where he is currently an Associate Professor. He was a Visiting Scholar with the Wireless Information Network Laboratory, Rutgers, The State University of New Jersey, USA, from 2008 to 2009. His research interest is mainly cooperation in heterogeneous networks. He received the Young Researchers’ Award from IEICE, in 2006, and the Young Scientist Award from Ericsson Japan, in 2007. He also received the TELECOM System Technology Award from the Telecommunications Advancement Foundation, in 2016. He has been the Chairperson of the Mobile Network and Applications Technical Committee of the IEICE Communications Society since 2017.
Visual Analytics for User Behaviour Analysis in Cyber SystemsCagatay Turkay
Slides for my short talk at the Alan Turing Institute at the "Visualisation for Data Science and AI" workshop (https://www.turing.ac.uk/events/visualization-data-science-and-ai).
The talk discusses a role for visualization to support decision making with algorithms and walks through an example of our EC H2020 funded DiSIEM research project.
In this presentation, I briefly show challenges, approaches and the state of the art of "Collective" Learning, namely where a large number of agents try to maximise a policy following a collective good.
Insights on critical energy efficiency approaches in internet-ofthings applic...IJECEIAES
Internet-of-things (IoT) is one of the proliferated technologies that result in a larger scale of connection among different computational devices. However, establishing such a connection requires a fault-tolerant routing scheme. The existing routing scheme results in communication but does not address various problems directly linked with energy consumption. Cross layer-based scheme and optimization schemes are frequently used scheme for improving the energy efficiency performance in IoT. Therefore, this paper investigates the approaches where cross-layer-based schemes are used to retain energy efficiencies among resource-constrained devices. The paper discusses the effectivity of the approaches used to optimize network performance in IoT applications. The study outcome of this paper showcase that there are various open-end issues, which is required to be addressed effectively in order to improve the performance of application associated with the IoT system.
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Slides for my short talk at the Alan Turing Institute at the "Visualisation for Data Science and AI" workshop (https://www.turing.ac.uk/events/visualization-data-science-and-ai).
The talk discusses a role for visualization to support decision making with algorithms and walks through an example of our EC H2020 funded DiSIEM research project.
In this presentation, I briefly show challenges, approaches and the state of the art of "Collective" Learning, namely where a large number of agents try to maximise a policy following a collective good.
Insights on critical energy efficiency approaches in internet-ofthings applic...IJECEIAES
Internet-of-things (IoT) is one of the proliferated technologies that result in a larger scale of connection among different computational devices. However, establishing such a connection requires a fault-tolerant routing scheme. The existing routing scheme results in communication but does not address various problems directly linked with energy consumption. Cross layer-based scheme and optimization schemes are frequently used scheme for improving the energy efficiency performance in IoT. Therefore, this paper investigates the approaches where cross-layer-based schemes are used to retain energy efficiencies among resource-constrained devices. The paper discusses the effectivity of the approaches used to optimize network performance in IoT applications. The study outcome of this paper showcase that there are various open-end issues, which is required to be addressed effectively in order to improve the performance of application associated with the IoT system.
Research Summary of Ryoichi Shinkuma, Kyoto University, Japanryoichi_shinkuma
Ryoichi Shinkuma received B.E., M.E., and Ph.D. degrees in communications engineering from Osaka University in 2000, 2001, and 2003, respectively. In 2003, he joined the Communications and Computer Engineering Faculty of the Graduate School of Informatics, Kyoto University, where he is currently an associate professor. He was a visiting scholar in the Wireless Information Network Laboratory, Rutgers University from Fall 2008 to Fall 2009. His research interest is mainly cooperation in heterogeneous networks. He received the Young Researchers’ Award from IEICE in 2006 and the Young Scientist Award from Ericsson Japan in 2007. He also received the TELECOM System Technology Award from the Telecommunications Advancement Foundation in 2016 and the best tutorial paper award from the IEICE Communications Society in 2019. He was the Chairperson of the Mobile Network and Applications Technical Committee of the IEICE Communications Society from 2017 to 2019. He is a senior member of IEEE.
Sustainability and fog computing applications, advantages and challengesAbdulMajidFarooqi
Designing a sustainable society is a key concern of the United Nations' 2030 Sustainable Development Goals. Sustainable fog computing is the most prominent solution for most problems occurring in cloud data centers, such as latency, security, carbon footprint, electricity consumption and so on. It is an extended design of cloud computing that supports horizontal computing paradigm providing cloud-like services at the edge of user premises. After emerging IoT fog computing has become the first choice of time sensitive applications due to its residing closer to the devices and sensors. In this paper we have introduced fog computing and differentiated it from cloud, furthermore, we have discussed how we can achieve sustainability through fog in several applications areas. Also, we have presented some existing challenges of fog paradigm. Moreover, we have reviewed some existing work about fog computing.
This presentation has been presented in the 3rd International Conference on Computing and Communication Technologies (ICCCT’19), Chennai, India
For the full paper please visit: https://ieeexplore.ieee.org/document/8824983
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
From Stand Alone Computers to Big Data Technology: Proposing a New Model for ...CrimsonpublishersMedical
Change is said to be constant but despite the benefits of change to Information Technology Infrastructure (ITI), managers, researchers and enthusiasts are uncertain about the future. A survey of literature shows that the association between ITI and change management are divergent in interrelationships. Many ITI consumers find it difficult to accommodate change due to several challenges involved. Technological developments coming into play has led to whole lot gradual changes. This paper describes the journey of ITI from standalone computers to cloud of things, the motivation for their transition alongside merits and demerits. It also discusses each of this method in brief and also provides their applications. It states the importance of computer networks today using fast and novel approaches. Finally, this paper presents a new model for managing change in ITI.
We present results from a qualitative study examining how professionals living and working in Nairobi, Kenya regularly use ICT in their everyday lives. There are two contributions of this work for the HCI community. First, we provide empirical evidence demonstrating constraints our participants encountered when using technology in an infrastructure-poor setting. These constraints are limited bandwidth, high costs, differing perceptions of responsiveness, and threats to physical and virtual security. Second, we use our findings to critically evaluate the “access, anytime and anywhere” construct shaping the design of future technologies. We present an alternative vision called deliberate interactions—a planned and purposeful interaction style that involves offline preparation—and discuss ways ICT can support this online usage behavior.
April 2023-Top Cited Articles in International Journal of Ubiquitous Computin...ijujournal
International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Presentation given to a Finnish eMBA group during their visit at mediaX at Stanford.
Presenters: Kaisa Still, Jukka Huhtamäki
Session chair: Martha G. Russell
Big data analytics, machine learning and artificial intelligence in next gene...nexgentechnology
GET IEEE BIG DATA, JAVA ,DOTNET,ANDROID ,NS2,MATLAB,EMBEDED AT LOW COST WITH BEST QUALITY PLEASE CONTACT BELOW NUMBER
FOR MORE INFORMATION PLEASE FIND THE BELOW DETAILS:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com
Mobile: 9791938249
Telephone: 0413-2211159
www.nexgenproject.com
New Research Articles 2020 November Issue International Journal of Software E...ijseajournal
The International Journal of Software Engineering & Applications (IJSEA) is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas.
International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
An Experience Report on the Design and Implementation of an Ad-hoc Blockchain...CREST
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International journal of computer networks & communications (ijcnc) --no...IJCNCJournal
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IJCNC Top 10 Trending Articles in Academia !!!IJCNCJournal
The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications. The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas.
May_2024 Top 10 Read Articles in Computer Networks & Communications.pdfIJCNCJournal
The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications. The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas.
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The AIRCC's International Journal of Computer Science and Engineering Survey (IJCSES) is devoted to fields of Computer Science and Engineering surveys, tutorials and overviews. The IJCSES is a peer-reviewed, open access scientific journal published in electronic form as well as print form. The journal will publish research surveys, tutorials and expository overviews in computer science and engineering. Articles from supplementary fields are welcome, as long as they are relevant to computer science and engineering
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Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
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For the full paper please visit: https://ieeexplore.ieee.org/document/8824983
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
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Change is said to be constant but despite the benefits of change to Information Technology Infrastructure (ITI), managers, researchers and enthusiasts are uncertain about the future. A survey of literature shows that the association between ITI and change management are divergent in interrelationships. Many ITI consumers find it difficult to accommodate change due to several challenges involved. Technological developments coming into play has led to whole lot gradual changes. This paper describes the journey of ITI from standalone computers to cloud of things, the motivation for their transition alongside merits and demerits. It also discusses each of this method in brief and also provides their applications. It states the importance of computer networks today using fast and novel approaches. Finally, this paper presents a new model for managing change in ITI.
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April 2023-Top Cited Articles in International Journal of Ubiquitous Computin...ijujournal
International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
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Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
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Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
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Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
2. Drones (Micro UAVs)
Trend: diversification of connected `things'
2
Reserved by Ryoichi Shinkuma
Connected things
Before 2000, only
servers and PCs are
connected
After 2005, many kinds
of smart devices are
connected
In coming years,
everything will be
connected
My research
started in 2003
2000 Feature
phones
Servers PCs
2010 IoT
2005
2015
2020
My research started
Diversified
Smartphones
Wearable
devices
Connected cars
3. Benefits of heterogeneous networks
Reserved by Ryoichi Shinkuma
3
Diversity of environment Diversity of connection
Diversity of resources Diversity of data
Many nodes for
cooperation,
congested
network
Few nodes for
cooperation,
no congestion
Powerful
computing
resource
High-speed
communication
resource
Wide-range but
low-speed
connection
High-speed but
short-range
connection
Collect and
provide bird's-
eye view and
wide-range data
Collect and
provide fine-
grained data in
dedicated area
4. Cooperation in homogenous network
One entity can control all
nodes
How to optimize?
e.g. Maximum flow problem
s t
b
a
e
g
f
c
d
4
Reserved by Ryoichi Shinkuma
Maximize flow from s to t
5. Definition of `heterogeneous'
More than just variety of
parameters:
• Two or more kinds of
nodes
• Each node owned and
controlled by different
entities
5
Reserved by Ryoichi Shinkuma
Much more difficult
to optimize
than homogeneous
networks
7. How to solve the problem of cooperation in
heterogeneous networks
Conventional approach: simplify and introduce game theory [Han'12]
My approach: understand and create a new model [Shinkuma'12]
Incentive reward
allocated to
contribution, Ri
Utility brought
about by
cooperation, Ui
Cost caused by
cooperation, Ci
Ui + Ri > Ci ?
Yes
No
No motivation
Incentive
mechanism S Ui
S Ri
(< S Ui – Profit)
7
Reserved by Ryoichi Shinkuma
[(Invitied) R. Shinkuma and K. Yamori, ``A Dynamic Traffic Control Technique in Communication Networks Using Incentive Engineering,''
IEICE Technical report, CQ2012-69, Nov. 2012 (in Japanese)
8. Actions for cooperation in heterogeneous
networks
Sharing
• Communication resources (bandwidth) and energy resources to
forward other's data
• Computing resources and energy resources to process other's task
Delaying
requests from peak time to off-peak time
Moving
to location where more efficient resource is available
8
Reserved by Ryoichi Shinkuma
9. [H. Kubo, R. Shinkuma, and T. Takahashi, IEICE Trans. Inf. & Syst., vol. E93-D, no. 12, pp. 3260-3268, Dec. 2010]
[M. Yoshino, R. Shinkuma, and T. Takahashi, Proc. IEEE GLOBECOM 2008, vol. 12, pp. 5042-5046, Dec. 2008]
Modeling of cost caused by cooperative
forwarding
Modeling of cost
• Forwarding data for others causes
battery cost
• Psychological factor related to
social relationship?
Experimental evaluation
• Emulator developed by our lab
• 58 subjects
• Results of qR :
• Friends: 41.2%
• Friends of friends: 55.4%
• Strangers: 60.8%
9
Reserved by Ryoichi Shinkuma
Relay network
Social network
10. Differentiate social relationships (1)
• Prior work: only friends,
friends of friends, and
strangers
• My work: more
differentiated social
relationship metrics for
cooperative forwarding
Reserved by Ryoichi Shinkuma
10
[Y. Inagaki and R. Shinkuma, "Shared-Resource Management Using Online Social-Relationship Metric for Altruistic Device Sharing,''
IEEE Access, vol. 6, pp. 23191-23201, April 2018]
Adamic-Adar Index
Katz Index
( kz: no. of degree of z )
( Al
xy: number of paths of length l between x and y )
Extract from structure
of social networks,
validated by experiment
using Stanford
Brightkite dataset
11. Differentiate social relationship (2)
• Prior work: only pre-
determined social
relationships
• My work: more dynamically
changed social
relationships
Reserved by Ryoichi Shinkuma
11
[R. Shinkuma, Y. Sugimoto, and Y. Inagaki, "Weighted network graph for interpersonal communication with temporal regularity,''
Springer Soft Computing, Nov. 2017]
Convert time
domain
to frequency
domain
per 1 day
per 10 minExtract from intercontact
logs like message
exchanges, Bluetooth
connections, validated by
experiment using MIT
Friends-and-Family dataset
12. Incentive mechanism for cooperative forwarding
Bandwidth Exchange (BE) in
wireless relay network:
Giving a portion of radio frequency
band when asking for forwarding
Nash Bargaining Solution (NBS)
based incentive mechanism
• Maximize product of utilities
• Ensure efficiency and fairness
Problem formulation
• ui: utility of node i
• Pij: relay-request probability from i to j
• lx: probability of choosing strategy x
• Pc
ij: cooperation probability of i for j
12
Reserved by Ryoichi Shinkuma
13. Incentive mechanism for cooperative forwarding (2)
Geometricmeanofthroughput:
13
Reserved by Ryoichi Shinkuma
Decision-making model
• NBS: long-term profit
• Myopic: short-term profit
• Altruistic: always cooperate
Numerical evaluation
• Rayleigh fading channel
• Orthogonal frequency division multiplexing
(OFDM) system
• Results: NBS achieves best fair throughput
NBS saves 4 times transmission
power
14. Means of giving incentive reward for cooperative
forwarding
• Monetary payment
• Payment by quality of service (QoS)
• Radio frequency band in physical layer [Zhang, 2010]
• TXOP in data link layer [Nishio, 2012]
• Packet queuing in network layer [Liu, 2015]
• Flow rate in transport layer [Nishio, 2011]
• Content delivery in application layer [Maki, 2012]
Physical
Data link
Network
Transport
Session
Presentation
Application
[D. Zhang, R. Shinkuma, and N. Mandayam, IEEE Trans. Wireless Communications, vol. 9, no. 6, pp. 2055-2065, Jun. 2010]
[T. Nishio, R. Shinkuma, T. Takahashi, and N. Mandayam, IEICE Trans. Commun., vol. E95-B, no. 6, pp. 1944-1952, Jun. 2012]
[W. Liu, R. Hu, R. Shinkuma, and T. Takahashi, IEICE Trans. Commun., vol. E98.B, no. 11, pp. 2141-2150, Nov. 2015]
[T. Nishio, R. Shinkuma, T. Takahashi, and G. Hasegawa, EURASIP Journal on Wireless Communications and Networking, vol. 2011,
no. 1, Aug. 2011]
[N. Maki, T. Nishio, R. Shinkuma, T. Mori, N. Kamiyama, R. Kawahara, and T. Takahashi, IEICE Trans. Inf. & Syst., vol. E95-D, no. 12,
pp. 2860-2869, Dec. 2012] 14
Reserved by Ryoichi Shinkuma
15. Modeling of utility brought about by cooperative
computing-resource sharing
Sharing computing resources via
networks
• Utility
• Problem formulation
Is it different from forwarding?
Modeling of utility
• Service consists of multiple tasks;
task-oriented cooperation might
cause inefficient cooperation
=> Service-oriented cooperation is
proposed
15
Reserved by Ryoichi Shinkuma
Computing-resource sharing network
16. Modeling of utility brought about by cooperative
computing-resource sharing (2)
Results
• Proposed (service-oriented)
cooperation reduced latency
up to upper-bound level
• Proposed model achieved best
fairness
16
Reserved by Ryoichi Shinkuma
Problem formulation
• ti: service start time with cooperation
• t'i: service start time w/o cooperation
• Tl
i: processing time for task l of node i
• Ei: energy consumption with
cooperation
• E'i: energy consumption w/o
cooperation
(Reduced service latency)
17. Delaying as cooperative action
Delaying requests from peak time
to off-peak time
Delaying should not cause another
peak traffic
[R. Shinkuma, Y. Tanaka, Y. Yamada, E. Takahashi, and T. Onishi, Elsevier Computer Networks, vol. 137, pp. 17-26, Jun. 2018]
[Y. Yamada, R. Shinkuma, T. Iwai, T. Onishi, T. Nobukiyo, and K. Satoda, vol. 146, pp. 115-124, Dec. 2018] 17
Reserved by Ryoichi Shinkuma
(Current traffic) (Predicted traffic
after delaying)
18. Delaying as cooperative action (2)
Modeling of decision making
and behavior
• Random utility model: statistic
model for making binary
decisions (delay or not)
Results
• Reproduced traffic, estimated from
signal quality measured in
Kawasaki-city, Kanagawa, Japan
• Off-peak is reduced by cooperation
instead of forcing nodes to delay
18
Reserved by Ryoichi Shinkuma
(Expected utility by choosing `Yes')
(Expected utility by choosing `No')
(Probability of choosing `Yes')
TA: sensitivity
of nodes to
delay
19. Moving as cooperative action
Moving to location where more efficient resource is available:
[T. Kangawa, M. Yoshino, R. Shinkuna, and T. Takahashi, IEICE Trans. Communications, vol. J90-B, no. 12, pp. 1263-1273, Dec. 2007 (in Japanese)]
[M. Yoshino, K. Sato, R. Shinkuma, and T. Takahashi, IEICE Trans. Commun., vol. E91-B, no. 10, pp. 3132-3140, Oct. 2008]
[T. Kakehi, R. Shinkuma, T. Murase, G. Motoyoshi, K. Yamori, and T. Takahashi, IEICE Trans. Commun., vol. E95-B, no. 6, pp. 1965-1973, Jun. 2012] 19
Reserved by Ryoichi Shinkuma
20. Conclusion
Recommended design of cooperation mechanism in heterogeneous
networks
1. Cooperative actions:
Sharing resources, delaying, moving
2. Cost model:
Psychological factor related to social relationships
3. Utility model:
Service-oriented
4. Incentive mechanism:
NBS-based
5. Decision-making:
stochastic models like random utility theory are ready-to-use but not
enough to reflect individual characteristics
=> further research is needed
Reserved by Ryoichi Shinkuma
20
Editor's Notes
Z. Han, D. Niyato, W. Saad, T. Başar, and A. Hjørungnes, ``Game theory in wireless and communication networks: theory, models, and applications,'' Cambridge university press, 2012
Lambda 1, 2, 3, 4 corresponding to <n,c><c,c><c,n><n,n>