The document proposes a conceptual model for a Cyber Physical Energy System (CPES) to improve energy efficiency. A CPES would integrate computation and physical processes using sensors, actuators and networks to monitor and optimize energy usage. It describes related existing systems for energy management in buildings and industry. The conceptual model was designed with requirements for low power, scalability and remote control. Potential applications of a CPES include modeling energy systems, improving efficiency in areas like ICT, managing energy resources, and developing new energy control strategies. The document concludes that a CPES could significantly advance national energy efficiency goals through closed-loop control systems.
Challenges, issues and opportunities for the development of smart grid IJECEIAES
Â
The development smart grids have made the power systems planning and operation more efficient by the application of renewable energy resources, electric vehicles, two-way communication, self-healing, consumer engagement, distribution intelligence, etc. The objective of this paper is to present a detailed comprehensive review of challenges, issues and opportunities for the development of smart grid. Smart grids are transforming the traditional way of meeting the electricity demand and providing the way towards an environmentally friendly, reliable and resilient power grid. This paper presents various challenges of smart grid development including interoperability, network communications, demand response, energy storage and distribution grid management. This paper also reviews various issues associated with the development of smart grid. Local, regional, national and global opportunities for the development of smart grid are also reported in this paper.
The industry of electrical energy continuously converges towards a competitive framework replacing gradually the traditional monopolistic landscape. The liberalization of the electricity market brought the separation of operations among production, transmission and distribution of electrical energy. Energy demand load forecasting become an effective tool for operational planning and security assessment of a power system.
Challenges, issues and opportunities for the development of smart grid IJECEIAES
Â
The development smart grids have made the power systems planning and operation more efficient by the application of renewable energy resources, electric vehicles, two-way communication, self-healing, consumer engagement, distribution intelligence, etc. The objective of this paper is to present a detailed comprehensive review of challenges, issues and opportunities for the development of smart grid. Smart grids are transforming the traditional way of meeting the electricity demand and providing the way towards an environmentally friendly, reliable and resilient power grid. This paper presents various challenges of smart grid development including interoperability, network communications, demand response, energy storage and distribution grid management. This paper also reviews various issues associated with the development of smart grid. Local, regional, national and global opportunities for the development of smart grid are also reported in this paper.
The industry of electrical energy continuously converges towards a competitive framework replacing gradually the traditional monopolistic landscape. The liberalization of the electricity market brought the separation of operations among production, transmission and distribution of electrical energy. Energy demand load forecasting become an effective tool for operational planning and security assessment of a power system.
Joint Informi GIS / IBM presentation at Esri UC 2014Jens Dalsgaard
Â
IBM and Informi GIS did a joint presentation at the 2014 Internation Esri User Conference.
Topic: Presenting the ELVIS solution implemented at the Finnish transmission System Operator Fingrid
Modeling and Analysis of Energy Efficient Cellular Networksijtsrd
Â
Energy consumption has become a primary concern in design and operation of wireless communication networks due to two main reasons- Environmental concerns and Cost. The next generation network systems will have to consider energy efficient designs in any aspect. The 5G network which is most awaited today though proposes better data rates but also speaks about energy efficiency in its agenda. Iram Masood Hamdani | Raj Kumar Jain "Modeling and Analysis of Energy Efficient Cellular Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-2 , February 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21381.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/21381/modeling-and-analysis-of-energy-efficient-cellular-networks/iram-masood-hamdani
This paper is set against a backdrop where India is at an important juncture in the energy landscape â a
present riddled with many challenges and an imminent future of multiple opportunities led by technology
implementations. The paper begins by providing an overall context to the Indian Power scenario and
introduces the countryâs ambitious smart grids vision led by security, adaptability, sustainability, reliability and
quality. In the next section, we delve deeper into the characteristics of the Indian Smart Energy ecosystem
â exploring the market potential and opportunities as well as policies that are currently in place. The third
segment is dedicated to standardization and an effort has been made to bring together all relevant standards
(including IoT) as well as policies that enable their implementation. This segment also discusses cyber security
and associated challenges, as these tenets are critical to the standards debate. The fourth segment explores
opportunities and challenges that all these bring in the areas of renewable energy, transmission, distribution,
micro-grids and security as well as their possible impact. In the final section, the paper puts forth some
actionable recommendations for stakeholders in the energy ecosystem including calling for new policies around
rooftop PVs, net metering, communications and IoT, data usage, distribution automation and management of
distributed energy resources, schemes for incentivizing stakeholders as well as greater collaboration among
ecosystem players. In doing so, it also highlights the benefits that collaborations such as those between India
and EU could bring to accelerating both standards creation as well as implementation.
NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTORArjun Reghu
Â
This paper investigates the key technologies that underpin the digitisation of energy and examines their potential impacts.
Understand the effects new technologies will have on the current energy system,
The new challenges they will pose, and the policies and regulatory measures which will assist in making them a success.
Importance of Measurements in Smart GridIJERD Editor
Â
- The need to get reliable supply, independence from fossil fuels, and capability to provide clean
energy at a fixed and lower cost, the existing power grid structure is transforming into Smart Grid. The
development of a smart energy distribution grid is a current goal of many nations. A Smart Grid should have
new capabilities such as self-healing, high reliability, energy management, and real-time pricing. This new era
of smart future grid will lead to major changes in existing technologies at generation, transmission and
distribution levels. The incorporation of renewable energy resources and distribution generators in the existing
grid will increase the complexity, optimization problems and instability of the system. This will lead to a
paradigm shift in the instrumentation and control requirements for Smart Grids for high quality, stable and
reliable electricity supply of power. The monitoring of the grid system state and stability relies on the
availability of reliable measurement of data. In this paper the measurement areas that highlight new
measurement challenges, development of the Smart Meters and the critical parameters of electric energy to be
monitored for improving the reliability of power systems has been discussed.
Modeling the Grid for De-Centralized EnergyTon De Vries
Â
Utilities are facing massive changes that affect all aspects of their business, from planning through operations. Once an industry characterized as technology-risk averse, utilities have been shifting to more agile approaches with a higher tolerance for risk. Modeling the grid to accommodate these changes requires new approaches and closer relationships with trusted
technology partners. This paper will examine what methodologies have driven the acceleration of grid decentralization and what technologies still need to be applied for smooth integration and success.
BEYOND ENERGY EFFICIENT SMART BUILDINGSAnna Fensel
Â
On November 27, 2012, FTW hosted the event "Research Highlights Energy". In addition to statements of Andrea Edelmann, EVN, and Catrin Haider, BMVIT, FTW researchers presented research results out of a total of 6 research projects in the Energy field. Gallery: http://www.ftw.at/news/ftw-event-research-highlights-energy
A presentation on "Big Data in Smart Grid" by MSc students at the University of Bradford, submitted as a part of coursework. It addresses the challenges, opportunities and issues related to Big Data and Data Protection in Smart Grid.
Energy Optimization of public and social housing buildings using ICT based se...CIMNE
Â
The research will focus on two types of buildings: residential buildings and public buildings. The research plan covers the aspects of defining the ICT based energy management services to be offered, the architecture definition of the systems, definition of the methodology to evaluate energy savings and user behaviour changes and the analysis of the achieved outputs of pilot buildings in real operation conditions.
Shared Economy & Open Data in #EnergyEfficiency MarketsUmesh Bhutoria
Â
Paper orginally written for presentation at the AEEE Conclave. It failed to make the cut for final round, we thought we would still let people review it and engage!
Paper talks about our path-breaking work on helping open up data for greater good and value creation
Smart Grid Data Centers Distributed & ICTs Sustainability on Generation Energ...IJMTST Journal
Â
Smart grid has modernized the way electricity is generated, transported, distributed, and consumed by integrating advanced sensing, communications, and control in the day-to-day operation of the grid. Electricity is a core utility for the functioning of society and for the services provided by information and communication technologies(ICTs). Several concepts of the smart grid, such as dynamic pricing, distributed generation, and demand management, have significantly impacted the operation of ICT services, in particular, communication networks and data centers. Ongoing energy-efficiency and operational expenditures reduction efforts in communication networks and data center shave gained another dimension with those smart grid concepts. In this paper, we provide a comprehensive survey on the smart grid-driven approaches in energy-efficient communications and data centers, and the interaction between smart grid and information and communication infrastructures. Although the studies on smart grid, energy-efficient communications, and green data centers have been separately surveyed in previous studies, to this end, research that falls in the intersection of those fields has not been properly classified and surveyed yet. We start our survey by providing background information on the smart grid and continue with surveying smart grid-driven approaches in energy-efficient communication systems, followed by energy, cost and emission minimizing approaches in datacenters, and the corresponding cloud network infrastructure. Through a communication infrastructure, a smart grid can improve power reliability and quality to eliminate electricity blackout.
Cloud Computing and the Internet of Things have opened up a new space for innovation opportunities. By analyzing these new applications in detail, we not only find that they have many new requirements (in comparison with traditional software), but that many of these new requirements are common to many of them. Hence, development costs can be reduced by the introduction of new and appropriate software tools aimed specifically at this scenario.
Joint Informi GIS / IBM presentation at Esri UC 2014Jens Dalsgaard
Â
IBM and Informi GIS did a joint presentation at the 2014 Internation Esri User Conference.
Topic: Presenting the ELVIS solution implemented at the Finnish transmission System Operator Fingrid
Modeling and Analysis of Energy Efficient Cellular Networksijtsrd
Â
Energy consumption has become a primary concern in design and operation of wireless communication networks due to two main reasons- Environmental concerns and Cost. The next generation network systems will have to consider energy efficient designs in any aspect. The 5G network which is most awaited today though proposes better data rates but also speaks about energy efficiency in its agenda. Iram Masood Hamdani | Raj Kumar Jain "Modeling and Analysis of Energy Efficient Cellular Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-2 , February 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21381.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/21381/modeling-and-analysis-of-energy-efficient-cellular-networks/iram-masood-hamdani
This paper is set against a backdrop where India is at an important juncture in the energy landscape â a
present riddled with many challenges and an imminent future of multiple opportunities led by technology
implementations. The paper begins by providing an overall context to the Indian Power scenario and
introduces the countryâs ambitious smart grids vision led by security, adaptability, sustainability, reliability and
quality. In the next section, we delve deeper into the characteristics of the Indian Smart Energy ecosystem
â exploring the market potential and opportunities as well as policies that are currently in place. The third
segment is dedicated to standardization and an effort has been made to bring together all relevant standards
(including IoT) as well as policies that enable their implementation. This segment also discusses cyber security
and associated challenges, as these tenets are critical to the standards debate. The fourth segment explores
opportunities and challenges that all these bring in the areas of renewable energy, transmission, distribution,
micro-grids and security as well as their possible impact. In the final section, the paper puts forth some
actionable recommendations for stakeholders in the energy ecosystem including calling for new policies around
rooftop PVs, net metering, communications and IoT, data usage, distribution automation and management of
distributed energy resources, schemes for incentivizing stakeholders as well as greater collaboration among
ecosystem players. In doing so, it also highlights the benefits that collaborations such as those between India
and EU could bring to accelerating both standards creation as well as implementation.
NEW BUSINESS MODELS & DIGITALIZATION IN THE ENERGY SECTORArjun Reghu
Â
This paper investigates the key technologies that underpin the digitisation of energy and examines their potential impacts.
Understand the effects new technologies will have on the current energy system,
The new challenges they will pose, and the policies and regulatory measures which will assist in making them a success.
Importance of Measurements in Smart GridIJERD Editor
Â
- The need to get reliable supply, independence from fossil fuels, and capability to provide clean
energy at a fixed and lower cost, the existing power grid structure is transforming into Smart Grid. The
development of a smart energy distribution grid is a current goal of many nations. A Smart Grid should have
new capabilities such as self-healing, high reliability, energy management, and real-time pricing. This new era
of smart future grid will lead to major changes in existing technologies at generation, transmission and
distribution levels. The incorporation of renewable energy resources and distribution generators in the existing
grid will increase the complexity, optimization problems and instability of the system. This will lead to a
paradigm shift in the instrumentation and control requirements for Smart Grids for high quality, stable and
reliable electricity supply of power. The monitoring of the grid system state and stability relies on the
availability of reliable measurement of data. In this paper the measurement areas that highlight new
measurement challenges, development of the Smart Meters and the critical parameters of electric energy to be
monitored for improving the reliability of power systems has been discussed.
Modeling the Grid for De-Centralized EnergyTon De Vries
Â
Utilities are facing massive changes that affect all aspects of their business, from planning through operations. Once an industry characterized as technology-risk averse, utilities have been shifting to more agile approaches with a higher tolerance for risk. Modeling the grid to accommodate these changes requires new approaches and closer relationships with trusted
technology partners. This paper will examine what methodologies have driven the acceleration of grid decentralization and what technologies still need to be applied for smooth integration and success.
BEYOND ENERGY EFFICIENT SMART BUILDINGSAnna Fensel
Â
On November 27, 2012, FTW hosted the event "Research Highlights Energy". In addition to statements of Andrea Edelmann, EVN, and Catrin Haider, BMVIT, FTW researchers presented research results out of a total of 6 research projects in the Energy field. Gallery: http://www.ftw.at/news/ftw-event-research-highlights-energy
A presentation on "Big Data in Smart Grid" by MSc students at the University of Bradford, submitted as a part of coursework. It addresses the challenges, opportunities and issues related to Big Data and Data Protection in Smart Grid.
Energy Optimization of public and social housing buildings using ICT based se...CIMNE
Â
The research will focus on two types of buildings: residential buildings and public buildings. The research plan covers the aspects of defining the ICT based energy management services to be offered, the architecture definition of the systems, definition of the methodology to evaluate energy savings and user behaviour changes and the analysis of the achieved outputs of pilot buildings in real operation conditions.
Shared Economy & Open Data in #EnergyEfficiency MarketsUmesh Bhutoria
Â
Paper orginally written for presentation at the AEEE Conclave. It failed to make the cut for final round, we thought we would still let people review it and engage!
Paper talks about our path-breaking work on helping open up data for greater good and value creation
Smart Grid Data Centers Distributed & ICTs Sustainability on Generation Energ...IJMTST Journal
Â
Smart grid has modernized the way electricity is generated, transported, distributed, and consumed by integrating advanced sensing, communications, and control in the day-to-day operation of the grid. Electricity is a core utility for the functioning of society and for the services provided by information and communication technologies(ICTs). Several concepts of the smart grid, such as dynamic pricing, distributed generation, and demand management, have significantly impacted the operation of ICT services, in particular, communication networks and data centers. Ongoing energy-efficiency and operational expenditures reduction efforts in communication networks and data center shave gained another dimension with those smart grid concepts. In this paper, we provide a comprehensive survey on the smart grid-driven approaches in energy-efficient communications and data centers, and the interaction between smart grid and information and communication infrastructures. Although the studies on smart grid, energy-efficient communications, and green data centers have been separately surveyed in previous studies, to this end, research that falls in the intersection of those fields has not been properly classified and surveyed yet. We start our survey by providing background information on the smart grid and continue with surveying smart grid-driven approaches in energy-efficient communication systems, followed by energy, cost and emission minimizing approaches in datacenters, and the corresponding cloud network infrastructure. Through a communication infrastructure, a smart grid can improve power reliability and quality to eliminate electricity blackout.
Cloud Computing and the Internet of Things have opened up a new space for innovation opportunities. By analyzing these new applications in detail, we not only find that they have many new requirements (in comparison with traditional software), but that many of these new requirements are common to many of them. Hence, development costs can be reduced by the introduction of new and appropriate software tools aimed specifically at this scenario.
Suciu et al. The 15th International Conference on Informatics in Economy. Paper on. Dedicated Search Engines for Multimedia Big Data Indexing: Exalead Solutions
A brief presentation on cloud computing explaining how IaaS, PaaS, and SaaS work and different kind of clouds. It also introduces to the new trend : Internet of Things.
"Performance Analysis of In-Network Caching in Content-Centric Advanced Meter...Khaled Ben Driss
Â
"Performance Analysis of In-Network Caching in Content-Centric Advanced Metering Infrastructure" The International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 11, 2016.
Sustainable computing is a new pathway in the research field. because it is clear the growth of ICT industries globally is rapidly poisoning our environment. So ultimately we need to give attention to this for more Sustainable computing solutions.
Building the smart grid means integration of advanced information, communication and networking
technologies in the traditional electric grid to make it smarter and faster in making decisions. IoT platform
provides very high redundancy, virtually unlimited data storage and worldwide data access. Through the IoT,
consumers, manufacturers and utility providers will uncover new ways to manage devices and ultimately conserve
resources and save money by using smart meters, home gateways and connected appliances. In this paper, we
propose an architecture for monitoring power in smart grid applications using wireless sensor network (WSN)
technology embedded in an Internet of Things platform (IoT). The advantages of the proposed architecture are: 1)
it ensures privacy and provides secure access to data; 2) it enables users, service providers and application
developers to interact with the platform through user interfaces.
Universities as âSmart Citiesâ in a Globally Connected World - How Will They ...Larry Smarr
Â
09.08.20
Invited Talk
Monash University ITS Strategic Planning Session
RE-INVENT to RE-POSITION â TRANSFORMED BY ICT
Title: Universities as âSmart Citiesâ in a Globally Connected World - How Will They be Transformed?
Melbourne, Australia
IOT-ENABLED GREEN CAMPUS ENERGY MANAGEMENT SYSTEM ijesajournal
Â
Increasing cost and demand for energy is imposing us to find smart ways to save energy. To satisfy the energy requirement and at the same time to cut down the cost, consumption of energy must be monitored and controlled. Energy consumption can be well managed with the capabilities of the Internet of Things (IoT). This paper presents an architecture towards IoT-enabled Green campus Energy Management System. In the proposed system, the data acquisition module collects energy consumption information from each device and transmits it to the cloud platform for further processing and analysis. Since lighting and air conditioning appliances contribute to most of the electricity consumption in the campus environment, they have been taken as a prototype to validate the proposed architecture.
Challenges and Solutions for Advanced Sensing of
Water Infrastructures in Urban Environments. Presentation of Suciu et al. at 21. IEEE international symposium for design and technology in electronic packaging (SIITME).
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Â
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. Â
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 -Â a chemical called pyruvate. A small amount of ATP is formed during this process.Â
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to âburnâ 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.Â
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.Â
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 â 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 : Â 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.
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 Leberâs 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 Mendelâs 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 Oâclock 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.
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4â0.9”m) and novel JWST images with 14 filters spanning 0.8â5”m, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3”m to construct an ultradeep image, reaching as deep as â 31.4 AB mag in the stack and
30.3-31.0 AB mag (5Ï, r = 0.1â circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 â 15. These objects show compact half-light radii of R1/2 ⌠50 â 200pc, stellar masses of
Mâ ⌠107â108Mâ, and star-formation rates of SFR ⌠0.1â1 Mâ yrâ1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ⌠2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Â
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.Â
 Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
1. Cyber Physical Systems based on
Cloud Computing and Internet of
Things for Energy Efficiency
George Suciu, Octavian Fratu
Telecommunication Department, University POLITEHNICA of Bucharest
george@beia.ro
Cristina Butca, Victor Suciu, Alexandru Cretu
R&D Assistant and Business Analyst, Beia Consult International
Romulus Cheveresan
Project Manager, Beia Consult International
25 - 28 August 2016, Constanta, Romania
3. Short Biography (1)
Graduated from the Faculty of Electronics,
Telecommunications and Information Technology at the
University âPolitehnicaâ of Bucharest (UPB), Romania
(www.upb.ro)
MBA in Informatics Project Management from the Faculty of
Cybernetics, Statistics and Economic Informatics of the
Academy of Economic Studies Bucharest (www.ase.ro)
Ph.D. Student / Researcher at Aalborg University
Currently, Ph.D. Eng. Post-doc Researcher focused on the
field of big data, cloud communications, open source, IPR
and IoT/M2M
Since 2008 IT&C Solutions Manager - R&D Department,
being employed starting 1998 at BEIA Consult International,
a research performing SME (www.beiaro.eu)
@GeorgeSuciuGG. Suciu, et.al. (ATOM-N, 2016)
4. Short Biography (2)
Projects â www.beiaro.eu / www.mobcomm.pub.ro
FP7 (2 on-going)
REDICT : Regional Economic Development by ICT
eWALL : Electronic Wall for Active Long Living
NMSDMON : Network Management System Development and Monitoring
FAIR : Friendly Application for Interactive Receiver
Cloud Consulting : Cloud-based Automation of ERP and CRM software for Small Businesses
ACCELERATE: A Platform for the Acceleration of go-to market in the ICT industry
H2020 (3 on-going, 3 under review)
SWITCH: Software Workbench for Interactive, Time Critical and Highly self-adaptive Cloud applications
(ICT-9)
Power2SME: Cloud Platform for intelligent energy use by SMES
Speech2Platform S2P: Smart, natural language semantic analyser platform to process oriented back-
ends
National (more than 10 past projects, 5 on-going)
MobiWay: Mobility Beyond Individualism: an Integrated Platform for Intelligent Transportation Systems of Tomorrow
EV-BAT: Redox battery with fast charging capacity as a main source of energy for electric autovehicles
CarbaDetect: Imuno-biosensors for fast detection of carbamic pesticide residues (carbaryl, carbendazim) in horticultural
products
SARAT-IWSN : Scalable Radio Transceiver for Instrumental Wireless Sensor Networks
COMM-CENTER : Developing of a âcloud communication center" by integrating a call/contact center platform with
unified communication technology, CRM system, âtext-to-speechâ and âautomatic speech recognitionâ solutions in
different languages (including Romanian)
@GeorgeSuciuGG. Suciu, et.al. (ATOM-N, 2016)
5. Introduction
Cyber Physical Systems (CPS) and energy efficiency play
a major role in the context of industry expansion.
Management practices for improving efficiency in the field
of energy consumption became a priority of many major
industries who are inefficient in terms of exploitation costs.
The effort of adopting energy management means in an
organization is quite challenging due to the lack of
resources and expertise.
A Cyber Physical Energy System (CPES) that will change
organizationsâ way of consuming energy, by making them
aware of their use.
@GeorgeSuciuGG. Suciu, et.al. (ATOM-N, 2016)
6. Introduction (2)
Reliability, security and autonomy â Due to its scale and
complexity, such a CPES must be robust, secure and
reliable to system failures and changes in the environment.
The CPES should also be adaptable to unexpected
conditions and system failures by the means of predefined
problem resolutions, thus ensuring autonomy.
Comprehensive integration â CPES need to be closely
integrated. They are the integration of computation and
physical processes which relies on embedded real time
systems and network communication infrastructures.
Constrains â Due to the fact that every component of the
system uses embedded software to communicate to other
components, the proper functioning of the system depends
on computing power, resource allocation, network
bandwidth etc.
@GeorgeSuciuGG. Suciu, et.al. (ATOM-N, 2016)
7. Related work
On the Romanian and European market there are a couple of companies that deal
with the automatization and modernization of houses to provide means for a
proper energy management.
WINS combines micro-sensors and low-power signal processing, computation and low-
cost wireless networking in a compact system which can be employed in different fields of
interest.
Wiser integrates an application with sensors and electronic devices to control the
energy usage and efficiency in buildings.
Dexcell Energy Manager, provided by DEXMA, provides a utility bill tracker, reports,
alerts and energy patterns for its users.
Engage is a web portal from Efergy, developed for a better management of energy
usage.
Cisco Energy Manager Suite includes software and services that helps to manage
and measure the energy use of all devices connected across the perimeter.
ZigBee Smart Energy defines a technology platform for monitoring and actively
managing energy consumption at the end-user level.
EMOSS is engineered to improve sensing and control of equipment in small- and
medium-sized commercial buildings.
@GeorgeSuciuGG. Suciu, et.al. (ATOM-N, 2016)
8. Cyber Physical System For Energy Efficiency â
Conceptual Model
The criteria and requirements, which formed the basis for the
conceptual model
extremely low power consumption,
high scalability
remotely controllable features.
Within buildings, smart sensing and control systems are
designed to ensure occupant comfort and operational
efficiency.
Electricity consumers in buildings can be optimized to
increase the overall energy efficiency and productivity.
@GeorgeSuciuGG. Suciu, et.al. (ATOM-N, 2016)
9. Cyber Physical System For Energy Efficiency â
Conceptual Model (2)
@GeorgeSuciuGG. Suciu, et.al. (ATOM-N, 2016)
Conceptual Cyber Physical System Architecture
10. The areas of applicability of a cyber physical energy system relate to:
A) Modeling Energy Systems
The power system modeling is executed by using standard models
based on differential algebraic equations (DAE) which are usually
simplified and divided by time span of the studied phenomena. CPAs
can provide a platform for developing simulation, analysis and design
tools.
B) Energy Efficiency
In the area of energy efficiency within ICT companies, researchers
are studying CPES capable of reducing the power consumption of
computers, servers and wireless devices. Cyber Physical Systems
can play a major role in sensor networks where components require
mobility and an efficient use of battery life.
Cyber Physical System For Energy Efficiency â
Conceptual Model (3)
@GeorgeSuciuGG. Suciu, et.al. (ATOM-N, 2016)
11. C) Energy Resource Management
To ensure a distributed energy resource management, a Cyber Physical
SCADA system is proposed. This approach would consider resource
generation, storage and usage. Another approach is based on data
centers energy management by finding the best trade-off between QoS
(Quality of Service) and data energy costs. Energy conservation is a
major concern of Cyber Physical Systems.
D) Energy Control
A Cyber Physical Energy System requires the development of special
controllers which address dynamic phenomena describing a wide variety
of behaviors. Some major topics of interest in the field of energy control
address topics.
Cyber Physical System For Energy Efficiency â
Conceptual Model (4)
@GeorgeSuciuGG. Suciu, et.al. (ATOM-N, 2016)
12. A Cyber Physical Energy System (CPES) provides many
opportunities to greatly improve national energy efficiency and
conservation, also reducing the emissions of greenhouse gases.
CPS are designed and used for a wide variety of domains, also
providing an increasingly significant impact in ensuring a proper
management of energy.
Closed loop voltage control, small-signal stabilization and
decentralized load frequency control are just a few future
directions for research and development in the area of CPES.
Conclusions
@GeorgeSuciuGG. Suciu, et.al. (ATOM-N, 2016)