Charith Perera, Arkady Zaslavsky, Peter Christen, Ali Salehi, Dimitrios Georgakopoulos, Connecting Mobile Things to Global Sensor Network Middleware using System-generated Wrappers, Proceedings of the 11th ACM International Workshop on Data Engineering for Wireless and Mobile Access (ACM SIGMOD/PODS-Workshop-MobiDE), Scottsdale, Arizona, USA, May, 2012
Charith Perera, Arkady Zaslavsky, Peter Christen, Ali Salehi, Dimitrios Georgakopoulos, Capturing Sensor Data from Mobile Phones using Global Sensor Network Middleware, Proceedings of the IEEE 23rd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), Sydney, Australia, September, 2012
Charith Perera, Arkady Zaslavsky, Michael Compton, Peter Christen, and Dimitrios Georgakopoulos, Semantic-driven Configuration of Internet of Things Middleware, Proceedings of the 9th International Conference on Semantics, Knowledge & Grids (SKG), Beijing, China, October, 2013
Arkady Zaslavsky, Charith Perera, Dimitrios Georgakopoulos, Sensing as a Service and Big Data, Proceedings of the International Conference on Advances in Cloud Computing (ACC), Bangalore, India, July, 2012, Pages 21-29 (8)
HICSS-2014-Big Island, Hawaii, United States, 08 January 2014Charith Perera
Charith Perera, Prem Prakash Jayaraman, Arkady Zaslavsky, Peter Christen, and Dimitrios Georgakopoulos, MOSDEN: An Internet of Things Middleware for Resource Constrained Mobile Devices, Proceedings of the 47th Hawaii International Conference on System Sciences (HICSS), Kona, Hawaii, USA, January, 2014
Charith Perera, Ciaran Mccormick, Arosha Bandara, Blaine A. Price, Bashar Nuseibeh, Privacy-by-Design Framework for Assessing Internet of Things Applications and Platforms, Proceedings of the 6th ACM International Conference on Internet of Things (IoT), Stuttgart, Germany, November, 2016, Pages 83-92
COLLABORATECOM-2013, Austin, Texas, United States, 20 October 2013 Charith Perera
Prem Prakash Jayaraman, Charith Perera, Dimitrios Georgakopoulos and Arkady Zaslavsky, Efficient Opportunistic Sensing using Mobile Collaborative Platform MOSDEN, Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (COLLABORATECOM), Austin, Texas, United States, October, 2013
iThings-2012, Besançon, France, 20 November, 2012Charith Perera
Charith Perera, Arkady Zaslavsky, Peter Christen, Dimitrios Georgakopoulos, CA4IOT: Context Awareness for Internet of Things, Proceedings of the IEEE International Conference on Green Computing and Communications, Conference on Internet of Things, and Conference on Cyber, Physical and Social Computing (iThings/CPSCom/GreenCom), Besancon, France, November, 2012
Privacy Mindset for Developing Internet of Things Applications for Social Sen...Charith Perera
Charith Perera, Athanasios Vasilakos, Privacy Mindset for Developing Internet of Things Applications for Social Sensing: Software Engineering Challenges, Proceedings of the 2nd International Workshop on Social Sensing (SocialSense 2017), Pittsburgh, USA, April 2017, Page 103-103 (1)
Charith Perera, Arkady Zaslavsky, Peter Christen, Ali Salehi, Dimitrios Georgakopoulos, Capturing Sensor Data from Mobile Phones using Global Sensor Network Middleware, Proceedings of the IEEE 23rd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), Sydney, Australia, September, 2012
Charith Perera, Arkady Zaslavsky, Michael Compton, Peter Christen, and Dimitrios Georgakopoulos, Semantic-driven Configuration of Internet of Things Middleware, Proceedings of the 9th International Conference on Semantics, Knowledge & Grids (SKG), Beijing, China, October, 2013
Arkady Zaslavsky, Charith Perera, Dimitrios Georgakopoulos, Sensing as a Service and Big Data, Proceedings of the International Conference on Advances in Cloud Computing (ACC), Bangalore, India, July, 2012, Pages 21-29 (8)
HICSS-2014-Big Island, Hawaii, United States, 08 January 2014Charith Perera
Charith Perera, Prem Prakash Jayaraman, Arkady Zaslavsky, Peter Christen, and Dimitrios Georgakopoulos, MOSDEN: An Internet of Things Middleware for Resource Constrained Mobile Devices, Proceedings of the 47th Hawaii International Conference on System Sciences (HICSS), Kona, Hawaii, USA, January, 2014
Charith Perera, Ciaran Mccormick, Arosha Bandara, Blaine A. Price, Bashar Nuseibeh, Privacy-by-Design Framework for Assessing Internet of Things Applications and Platforms, Proceedings of the 6th ACM International Conference on Internet of Things (IoT), Stuttgart, Germany, November, 2016, Pages 83-92
COLLABORATECOM-2013, Austin, Texas, United States, 20 October 2013 Charith Perera
Prem Prakash Jayaraman, Charith Perera, Dimitrios Georgakopoulos and Arkady Zaslavsky, Efficient Opportunistic Sensing using Mobile Collaborative Platform MOSDEN, Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (COLLABORATECOM), Austin, Texas, United States, October, 2013
iThings-2012, Besançon, France, 20 November, 2012Charith Perera
Charith Perera, Arkady Zaslavsky, Peter Christen, Dimitrios Georgakopoulos, CA4IOT: Context Awareness for Internet of Things, Proceedings of the IEEE International Conference on Green Computing and Communications, Conference on Internet of Things, and Conference on Cyber, Physical and Social Computing (iThings/CPSCom/GreenCom), Besancon, France, November, 2012
Privacy Mindset for Developing Internet of Things Applications for Social Sen...Charith Perera
Charith Perera, Athanasios Vasilakos, Privacy Mindset for Developing Internet of Things Applications for Social Sensing: Software Engineering Challenges, Proceedings of the 2nd International Workshop on Social Sensing (SocialSense 2017), Pittsburgh, USA, April 2017, Page 103-103 (1)
Charith Perera, Arkady Zaslavsky, Peter Christen, Michael Compton, and Dimitrios Georgakopoulos, Context-aware Sensor Search, Selection and Ranking Model for Internet of Things Middleware, Proceedings of the IEEE 14th International Conference on Mobile Data Management (MDM), Milan, Italy, June, 2013
Charith Perera, Prem Prakash Jayaraman, Arkady Zaslavsky, Peter Christen, Dimitrios Georgakopoulos, Sensor Discovery and Configuration Framework for the Internet of Things Paradigm, Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), Seoul, Korea, March, 2014
Charith Perera and Arkady Zaslavsky, Improve the Sustainability of Internet of Things Through Trading-based Value Creation, Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), Seoul, Korea, March, 2014
COMPLEX EVENT PROCESSING USING IOT DEVICES BASED ON ARDUINOijccsa
Complex event processing systems have gained importance since recent developments in communication
and integrated circuits technologies. Developers can easily develop many smart space systems by
connecting various sensors to an Arduino as an internet of thing device. These systems are useful for many
places such as factories, greenhouses (plant house) and smart-homes. Especially in plant houses when the
desired humidity, temperature, light and soil moisture drops the certain level, the users should be notified
through their smartphones. The sensor information is sent to a central server over the internet via an
access point. The collected sensor data needs to be processed online to check whether an event is occurred
or not. The event processing system based on a complex event processing tool is created on the central
server. It is also an important issue to inform mobile users whenever an event occurs. A publish-subscribe
event based system is implemented on the central server. A mobile user is subscribed to the desired event
topic. When an event occurred, which is related with a specific topic, an alarm notification is sent to the
mobile users about the event information so as to take necessary precautions.
The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks,
Fog computing is a term created by Cisco that refers to extending cloud computing to the edge of an enterprise's network.
Cisco introduced its fog computing vision in January 2014 as a way of bringing cloud computing capabilities to the edge of the network .
As the result, closer to the rapidly growing number of connected devices and applications that consume cloud services and generate increasingly massive amounts of data.
Report-Fog Based Emergency System For Smart Enhanced Living EnvironmentKEERTHANA M
Report-An ambient assisted-living emergency system exploits cloud and fog computing, an outdoor positioning mechanism, and emergency and communication protocols to locate activity-challenged individuals.
The emerge of the Internet of Things (IoT) data as a commodity to optimize public services such
as Fishing Locator has made sensor-cloud an important object. When sensors that are members of
multiple IoT gateways can inter-operate at the same time for more than one application, it will reduce cost
to deploy IoT infrastructure. However, reliability has also developed as the most important aspect for
real-time data collection that should be streamed constantly. Due to uncertainty factors sensors failure is
potentially occurred, then an adaptive approach should be addressed into this as to guarantee the flow of
streaming data. This paper proposed an adaptive sensor-cloud mechanism to manage the reliability by
using a runtime model approach where a transition model and dynamic software product line engineering
will take place to weaving the system. Our technique is comparable to other approaches and can be
implemented in many types of Cloud-based services.
Towards internet of things iots integration of wireless sensor network to clo...IJCNCJournal
Cloud computing provides great benefits for applications hosted on the Web that also have special
computational and storage requirements. This paper proposes an extensible and flexible architecture for
integrating Wireless Sensor Networks with the Cloud. We have used REST based Web services as an
interoperable application layer that can be directly integrated into other application domains for remote
monitoring such as e-health care services, smart homes, or even vehicular area networks (VAN). For proof
of concept, we have implemented a REST based Web services on an IP based low power WSN test bed,
which enables data access from anywhere. The alert feature has also been implemented to notify users via
email or tweets for monitoring data when they exceed values and events of interest.
Dr Matthew Berryman, IT Architect, presented an overview of his research as part of the SMART Seminar Series on 15 November 2016.
More information: http://smart.uow.edu.au/events/UOW223675.html
Fog Computing: Helping the Internet of Things Realize its PotentialHarshitParkar6677
The Internet of Things (IoT) promises to make
many items—including consumer electronic
devices, home appliances, medical devices, cameras,
and all types of sensors—part of the Internet
environment.1 This opens the door to innovations that
facilitate new interactions among things and humans,
and enables the realization of smart cities, infrastructures,
and services that enhance the quality of life.
Charith Perera, Arkady Zaslavsky, Peter Christen, Michael Compton, and Dimitrios Georgakopoulos, Context-aware Sensor Search, Selection and Ranking Model for Internet of Things Middleware, Proceedings of the IEEE 14th International Conference on Mobile Data Management (MDM), Milan, Italy, June, 2013
Charith Perera, Prem Prakash Jayaraman, Arkady Zaslavsky, Peter Christen, Dimitrios Georgakopoulos, Sensor Discovery and Configuration Framework for the Internet of Things Paradigm, Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), Seoul, Korea, March, 2014
Charith Perera and Arkady Zaslavsky, Improve the Sustainability of Internet of Things Through Trading-based Value Creation, Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), Seoul, Korea, March, 2014
COMPLEX EVENT PROCESSING USING IOT DEVICES BASED ON ARDUINOijccsa
Complex event processing systems have gained importance since recent developments in communication
and integrated circuits technologies. Developers can easily develop many smart space systems by
connecting various sensors to an Arduino as an internet of thing device. These systems are useful for many
places such as factories, greenhouses (plant house) and smart-homes. Especially in plant houses when the
desired humidity, temperature, light and soil moisture drops the certain level, the users should be notified
through their smartphones. The sensor information is sent to a central server over the internet via an
access point. The collected sensor data needs to be processed online to check whether an event is occurred
or not. The event processing system based on a complex event processing tool is created on the central
server. It is also an important issue to inform mobile users whenever an event occurs. A publish-subscribe
event based system is implemented on the central server. A mobile user is subscribed to the desired event
topic. When an event occurred, which is related with a specific topic, an alarm notification is sent to the
mobile users about the event information so as to take necessary precautions.
The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks,
Fog computing is a term created by Cisco that refers to extending cloud computing to the edge of an enterprise's network.
Cisco introduced its fog computing vision in January 2014 as a way of bringing cloud computing capabilities to the edge of the network .
As the result, closer to the rapidly growing number of connected devices and applications that consume cloud services and generate increasingly massive amounts of data.
Report-Fog Based Emergency System For Smart Enhanced Living EnvironmentKEERTHANA M
Report-An ambient assisted-living emergency system exploits cloud and fog computing, an outdoor positioning mechanism, and emergency and communication protocols to locate activity-challenged individuals.
The emerge of the Internet of Things (IoT) data as a commodity to optimize public services such
as Fishing Locator has made sensor-cloud an important object. When sensors that are members of
multiple IoT gateways can inter-operate at the same time for more than one application, it will reduce cost
to deploy IoT infrastructure. However, reliability has also developed as the most important aspect for
real-time data collection that should be streamed constantly. Due to uncertainty factors sensors failure is
potentially occurred, then an adaptive approach should be addressed into this as to guarantee the flow of
streaming data. This paper proposed an adaptive sensor-cloud mechanism to manage the reliability by
using a runtime model approach where a transition model and dynamic software product line engineering
will take place to weaving the system. Our technique is comparable to other approaches and can be
implemented in many types of Cloud-based services.
Towards internet of things iots integration of wireless sensor network to clo...IJCNCJournal
Cloud computing provides great benefits for applications hosted on the Web that also have special
computational and storage requirements. This paper proposes an extensible and flexible architecture for
integrating Wireless Sensor Networks with the Cloud. We have used REST based Web services as an
interoperable application layer that can be directly integrated into other application domains for remote
monitoring such as e-health care services, smart homes, or even vehicular area networks (VAN). For proof
of concept, we have implemented a REST based Web services on an IP based low power WSN test bed,
which enables data access from anywhere. The alert feature has also been implemented to notify users via
email or tweets for monitoring data when they exceed values and events of interest.
Dr Matthew Berryman, IT Architect, presented an overview of his research as part of the SMART Seminar Series on 15 November 2016.
More information: http://smart.uow.edu.au/events/UOW223675.html
Fog Computing: Helping the Internet of Things Realize its PotentialHarshitParkar6677
The Internet of Things (IoT) promises to make
many items—including consumer electronic
devices, home appliances, medical devices, cameras,
and all types of sensors—part of the Internet
environment.1 This opens the door to innovations that
facilitate new interactions among things and humans,
and enables the realization of smart cities, infrastructures,
and services that enhance the quality of life.
1 Object tracking using sensor network Orla SahiSilvaGraf83
1
Object tracking using sensor network
Orla Sahithi Reddy, email:[email protected]
Abstract—With the help of sensor networks we can keep
track on the events using low and tiny powered devices.
In the paper, we are going to analyze and compare
multiple object tracking methods. Instead of using a
single sensor we use multiple sensors and space them, so
it gives us information. Wireless sensor networks has
node with sensor capabilities and place in object
proximity for detecting them. Sensor networks are
applicable in many fields. Depending on the object
tracking in sensor network ranging from defense and
military applications to earth sciences and
environmental, habitat monitoring, traffic monitoring,
surveillance and military reconnaissance and cross-
border which involves habitat monitoring, infiltration
and other commercial applications.
Index Terms—energy efficient object tracking, object
tracking, quality of tracking, wireless sensor networks,
multi target tracking, routing
I. INTRODUCTION
We Need to have a gathering of frameworks which
cooperate to follow an item rather than a solitary
sensor. Due to this strength, ability and productivity of
the arrangement. Various sensors mitigate the issue of
single purpose of disappointment. A Single costly
sensor expands the danger of disappointment over the
zone of intrigue. Every sensor hub has a sensor ready,
a processor and a remote handset. Normally, a
following application research can be ordered in two
different ways. In recent years, Wireless sensor
network is one of the rapidly growing area[1]. To
begin with, the issue of precisely evaluating the area
of article and second being in organize information
preparing and information conglomeration model for
following item. Article can be situated out commonly
by two activities; by update from the sensors or
questioning the sensor for information to find the item.
Checking of articles would require less time than
following of new item.
Regularly, a remote sensor organize comprises of
enormous number of sensor hubs and is wanted to find
an item in the sensor arrange by playing out a routine
occasionally. This included following the article and
assembling data.
This is a term paper submitted for course requirement fulfillment of
“Advanced Wireless Networks”.
Sahithi Reddy Orla is current student in Wright State University
Computer Science and Engineering Department, Fairborn, OH
45324, USA (e-mail: [email protected], UID: U00916256).
We have to have a particular calculation to process or
track the area of the article with the assistance of
information There are different sorts of item following
strategies which can be looked at and broke down. In
remote sensor systems we have sensor hubs to find an
item in the system. This procedure is done
occasionally including gathering information from
sensor hubs.
There are two sign ...
Complex Event Processing Using IOT Devices Based on Arduinoneirew J
Complex event processing systems have gained importance since recent developments in communication
and integrated circuits technologies. Developers can easily develop many smart space systems by
connecting various sensors to an Arduino as an internet of thing device. These systems are useful for many
places such as factories, greenhouses (plant house) and smart-homes. Especially in plant houses when the
desired humidity, temperature, light and soil moisture drops the certain level, the users should be notified
through their smartphones. The sensor information is sent to a central server over the internet via an
access point. The collected sensor data needs to be processed online to check whether an event is occurred
or not. The event processing system based on a complex event processing tool is created on the central
server. It is also an important issue to inform mobile users whenever an event occurs. A publish-subscribe
event based system is implemented on the central server. A mobile user is subscribed to the desired event
topic. When an event occurred, which is related with a specific topic, an alarm notification is sent to the
mobile users about the event information so as to take necessary precautions.
Semantically-Enabling the Web of Things: The W3C Semantic Sensor Network Onto...Laurent Lefort
Presentation of the SSN XG results at eResearch Australia 2011 https://eresearchau.files.wordpress.com/2012/06/74-semantically-enabling-the-web-of-things-the-w3c-semantic-sensor-network-ontology.pdf
UCC-2016, 6-9 May December, Shanghai, ChinaCharith Perera
Luiz Henrique Nunes, Julio Cezar Estrella, Charith Perera, Stephan Reiff-Marganiec, Alexandre Cladio Botazzo Delbem, The Effects of Relative Importance of User Constraints in Cloud of Things Resource Discovery: A Case Study, Proceedings of the 9th International Conference on Utility and Cloud Computing - (UCC), Shaghai, China, December, 2016, Pages 245-250
AAMAS-2017 8-12 May, 2017, Sao Paulo, BrazilCharith Perera
Tim Baarslag, Alper Alan, Richard Gomer, Muddasser Alam, Charith Perera, Enrico Gerding and M.C. Schraefel, An Automated Negotiation Agent for Permission Management, Proceedings of the 16th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS-2017) Sao Paulo, Brazil, May, 2017, Pages 380-390 (10).
SEAMS-2016, 16-17 May, 2016, Austin, Texas, United StatesCharith Perera
Amel Bennaceur, Ciaran McCormick, Jesus Garcia Galan, Charith Perera, Andrew Smith, Andrea Zisman and Bashar Nuseibeh, Feed me, Feed me: An Exemplar for Engineering Adaptive Software, Proceedings of the 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), Austin, Texas, May, 2016, Pages 89-95 (7)
Charith Perera, Saeed Aghaee, Alan Blackwell, Natural Notation for the Domestic Internet of Things , Proceedings of the 5th International Symposium on End-User Development (IS-EUD), Madrid, Spain, May, 2015,
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Epistemic Interaction - tuning interfaces to provide information for AI support
MobiDE’2012, Phoenix, AZ, United States, 20 May, 2012
1. Connecting Mobile Things to
Global Sensor Network
Middleware using
System-generated Wrappers
Charith Perera (ANU), Arkady Zaslavsky (CSIRO), Peter Christen
(ANU), Ali Salehi (CSIRO), Dimitrios Georgakopoulos (CSIRO)
System-generated Wrappers
MobiDE’2012, Phoenix, AZ, 20 May, 2012
2. Outline
1. Introduction
2. Internet of Things and OpenIoT
3. ASCM4GSN
4. Related work
5. Conclusion and future work5. Conclusion and future work
3. 6500+
staff over 55 locations
CSIRO today: a snapshot
One of the largest & most diverse in the world
Australia’s national science agency
3 | CSIRO. Australian Science, Australia's Future
170+
active licences of CSIRO innovation
150+
spin-offs based on our IP & expertise
Ranked in top 1% in 14 research fields
Building national prosperity and wellbeing
4. Delivering our science: key outcome
domains
ENERGY
OCEANSWATER
LANDSCAPES
CLIMATE
4 | CSIRO. Australian Science, Australia's Future
FOOD &
AGRICULTURE
PROMOTING
HEALTH
MANUFACTURING
AND MATERIALS
UNDERSTANDING
THE UNIVERSE
SERVICES
AND ICT
SAFEGUARDING
AUSTRALIA
MINERAL
RESOURCES
5. Light
Metals
Minerals
Down Under
Sustainable
Agriculture
Water for
a Healthy
Country
Climate
Adaptation
Energy
Transformed
National Research Flagships
5 | CSIRO. Australian Science, Australia's Future
Future
Manufacturing
Down Under
Country
Preventative
Health
Wealth
from Oceans
Food
Futures
Transformed
6. based on
standard &
interoperable
communication
protocols
A dynamic
global network
infrastructure
with self
where
physical &
virtual “things”
have identities,
physical
attributes,
Internet of
Things (IoT)with self
configuring
capabilities
are
seamlessly
integrated into
the information
network.
virtual
personalities,
use intelligent
interfaces,
and
Things (IoT)
7. Origin of IoT in 1998
“The IoT allows people and things to be connected Anytime,
Anyplace, with Anything and Anyone, ideally using Any network and
Any service"
Global market for sensors was around $56.3 billion in 2010, around
$62.8 billion in 2011. It is expected to increase up to $91.5 billion by
2016.
Introduction
2016.
Compound annual growth rate of 7.8%.
Increasing trend of developing middleware solutions in order to
connect sensors and actuators to the Internet.(E.g: GSN, Hourglass,
HiFi, IrisNet, EdgeServers)
These middleware solutions support fast and simple deployment of
sensor networks.
8. Sensor networks are the major enabler of the IoT
A sensor network comprises one or more sensor nodes which
communicate between each other using wired and wireless
means.
Applications of IoT and Sensor Networks
Mobile phones as mobile sensors
Sensor Networks and IoT
Mobile phones as mobile sensors
Sensor network deployment has been considered as a difficult
task in early days due to the heterogeneity of sensors.
Global Sensor Network (GSN) is a middleware solution that
enables zero-configuration deployment.
11. OpenIoT experimental test-bed
For the High Resolution Plant
Phenomics Centre’s Phenonet project
• Measure environmental and plant
physiology parameters in the field
• Improve the quality and scale of data
available to plant breeders from grain trial
plantings
Technical challengesTechnical challenges
• Design and programming of sensor
network
• Testbed for declarative programming of
sensor networks
• Fast browser-based data display & analysis
using reusable components
• See http://phenonet.com
12. A platform aimed at providing flexible middleware to address the
challenges of sensor data acquisition, integration and distributed
query processing
It is used widely in over ten EU/Swiss funded research projects
We use GSN as the sensor network middleware to exemplify our
proposed solution.
More information: https://sourceforge.net/apps/trac/gsn/
Global Sensor Networks
More information: https://sourceforge.net/apps/trac/gsn/
Internet
Cloud (Internet)
Computational
Rich Device
Static Sink
Node
Computational
Rich Device
Static Sink
Node
Sensor Networks (SN1
)
Sensor Networks (SN2
)
Mobile Sink
Node
Mobile Sink
Node
GSN Server GSN Server
Serial
Connector
Serial
Connector
13. Connectivity and configurability
Sensors come with APIs that provide software interfaces to retrieve
sensor data to the middleware solutions or applications
If we want to retrieve sensor readings, we need to access the sensor
hardware through these provided third party libraries.
Different middleware solutions use different mechanisms to retrieve data
from sensors.(e.g: wrappers, gateways, handlers, proxies, mediators, etc.)
The Challenge
from sensors.(e.g: wrappers, gateways, handlers, proxies, mediators, etc.)
GSN has wrappers
Two Problems:
First problem is that these wrappers need to be developed
manually by the programmers. Each sensor has to have a matching
wrapper attached to GSN middleware such as;
SunSPOT sensor → SunSPOTWrapper. (Time, Cost, Effort)
Second problem is lack of code sharing
14. Evaluation of Existing Approach
Common Steps in Connecting Sensors to an IoT Middleware:
Acquire Manufacturers' APIs
1. Acquire System Configuration Details
2. Initiate the Data Structures
3. Initiate the Communication between IoT Middleware and Sensor Device
4. Data Communication
5. Close the Communication and Release the Resources
(a) (b)
Our experiment of developing wrappers
manually for Android mobile phones.
Android Wrapper is around 400 line of
code and the Android application is around
800 line of code.
It could take a few days for a developer to
develop and debug a single wrapper for a
specific sensor including the time that
would take to familiarise with the specific
sensor platform.
15. We propose Automated Sensor Configuration Model For Global Sensor
Network (ASCM4GSN) architecture to address these issues.
Automating Wrapper generation process and share the already
developed wrappers through cloud repository.
Sensor Device Definition
Cloud Repository (SDDCL)
Cloud
2
Major Components:
ASCM4GSN as a solution
Automated
Wrapper
Generation
Layer
Serial
Connector
Sink Node
Base computer Running GSN
Sensor Device
Definition Local
Repository (SDDLR)
1 Sensor Device Definition
File (SDD)
3
Major Components:
Sensor Device Definition (SDD) File
Sensor Device Definition Local Repository (SDDLR)
Sensor Device Definition Cloud Repository (SDDCR)
Automated Wrapper Generation Layer (ASCM4GSN
Tool)
16. Common Steps in Connecting Sensors to an IoT Middleware:
1. Acquire Manufacturers' APIs
2. Acquire System Configuration Details
3. Initiate the Data Structures
4. Initiate the Communication between IoT Middleware and Sensor Device
5. Data Communication
6. Close the Communication and Release the Resources
ASCM4GSN as a solution
<libraries-collection>
<library package-name="com.sun.spot.io.j2me.radiogram.*"
source="http://gsncloud.com/libraries/spotlib_common.jar"
platform="java" />
<library package-name="om.sun.spot.peripheral.ota.OTACommandServer"
source="http://gsncloud.com/libraries/spotlib_device.jar"
platform="java" />
</libraries-collection>
<data-structure>
<data-field field-name="light" type="int"
description="Presents the light sensor."/>
<data-field field-name="temperature" type="int"
description="Presents the temperature sensor."/>
</data-structure>
<system-configuration class="System" method="setProperty" >
<property name="SERIAL_PORT">/dev/ttyACM1</property>
<system-configuration>
<connection>
<prerequisites builder-class="OTACommandServer" method="start" >
<parameters>null</parameters>
</prerequisites>
<connection-initiation builder-class="Connector" method="open">
<parameters name="scheme">radiogram</parameters>
<parameters name="HOST_PORT">65</parameters>
</connection-initiation>
<data-interface class="RadiogramConnection" method="newDatagram">
<parameters name="size" class="RadiogramConnection"
method="getMaximumLength">10</parameters>
</data-interface>
</connection>
<data-transformation>
<data-retrieval class="RadiogramConnection" method="receive">
<parameters name="packet">Datagram</parameters>
</data-retrieval>
<data-field field-name="light" class="Datagram" method="readInt"/>
<data-field field-name="temperature" class="Datagram" method="readInt"/>
</data-transformation>
import com.sun.spot.io.j2me.radiogram.*;
import com.sun.spot.peripheral.ota.OTACommandServer;
import javax.microedition.io.*;
public class SunSpotsWrapper extends AbstractWrapper {
private DataField[] collection = new DataField[] {
new DataField("light", "int", "Presents the light sensor."),
new DataField("temperature", "int", "Presents the temperature sensor."),
new DataField("packet_type", "int", "packet type")};
public boolean initialize() {
System.setProperty("SERIAL_PORT", "/dev/ttyACM1");
OTACommandServer.start();
rCon = (RadiogramConnection) Connector.open("radiogram://:"+HOST_PORT);
dg = rCon.newDatagram(rCon.getMaximumLength());
}
public void run() {
rCon.receive(dg);
light = dg.readInt();
temperature = dg.readInt()
}
}
Sensor Device Definition File System-generated SunSPOT Wrapper
1
2
3
4
5
We defined the above
steps in XML file called
Sensor Device Definition
(SDD) file
The information attached
to this files were used to
develop the wrapper
automatically.
17. <libraries-collection>
<library package-name="com.sun.spot.io.j2me.radiogram.*"
source="http://gsncloud.com/libraries/spotlib_common.jar"
platform="java" />
<library package-name="om.sun.spot.peripheral.ota.OTACommandServer"
source="http://gsncloud.com/libraries/spotlib_device.jar"
platform="java" />
</libraries-collection>
<data-structure>
<data-field field-name="light" type="int"
description="Presents the light sensor."/>
<data-field field-name="temperature" type="int"
description="Presents the temperature sensor."/>
</data-structure>
<system-configuration class="System" method="setProperty" >
<property name="SERIAL_PORT">/dev/ttyACM1</property>
<system-configuration>
<connection>
<prerequisites builder-class="OTACommandServer" method="start" >
<parameters>null</parameters>
</prerequisites>
<connection-initiation builder-class="Connector" method="open">
package gsn.wrappers;
import gsn.beans.DataField;
import gsn.beans.StreamElement;
public class XXXXXXXXXXXX extends AbstractWrapper {
private DataField[] collection = new DataField[] {….........};
public boolean initialize() {
setName("TestWrapperMockObject-Thread" + (++threadCounter));
System.setProperty(..............);
return true;
}
public void run() {
}
package gsn.wrappers;
import gsn.beans.DataField;
import gsn.beans.StreamElement;
import com.sun.spot.io.j2me.radiogram.*;
import com.sun.spot.peripheral.ota.OTACommandServer;
import javax.microedition.io.*;
public class SunSpotsWrapper extends AbstractWrapper {
private DataField[] collection = new DataField[] {
new DataField("light", "int", "Presents the light sensor."),
new DataField("temperature", "int", "Presents temperature sensor"),
new DataField("packet_type", "int", "packet type")};
public boolean initialize() {
System.setProperty("SERIAL_PORT", "/dev/ttyACM1");
OTACommandServer.start();
rCon = (RadiogramConnection)
Connector.open("radiogram://:"+HOST_PORT);
dg = rCon.newDatagram(rCon.getMaximumLength());
How Automation Works
<connection-initiation builder-class="Connector" method="open">
<parameters name="scheme">radiogram</parameters>
<parameters name="HOST_PORT">65</parameters>
</connection-initiation>
<data-interface class="RadiogramConnection" method="newDatagram">
<parameters name="size" class="RadiogramConnection"
method="getMaximumLength">10</parameters>
</data-interface>
</connection>
<data-transformation>
<data-retrieval class="RadiogramConnection" method="receive">
<parameters name="packet">Datagram</parameters>
</data-retrieval>
<data-field field-name="light" class="Datagram" method="readInt"/>
<data-field field-name="temperature" class="Datagram" method="readInt"/>
</data-transformation>
}
public DataField[] getOutputFormat() {
return outputFormat;
}
public boolean publishStreamElement(StreamElement se) {
return postStreamElement(se);
}
public void dispose() {
threadCounter--;
}
public String getWrapperName() {
return "TestWrapperMock";
}
}
}
public void run() {
rCon.receive(dg);
light = dg.readInt();
temperature = dg.readInt()
}
public DataField[] getOutputFormat() {
return outputFormat;
}
public boolean publishStreamElement(StreamElement se) {
return postStreamElement(se);
}
public void dispose() {
threadCounter--;
}
public String getWrapperName() {
return "SunSPOTWrapper";
}
}
Sensor Device Definition(SDD)
File for a Specific Sensor
(e.g: SunSPOT Sensor)
Wrapper Template for
Global Sensor Network
Middleware System Generated Wrapper
(e.g: SunSPOTWrapper)
18. IEEE 1451 standards and SensorML
Californium (Cf) CoAP framework
Web Services Gateways
InterX
Related Work
InterX
Hydra
uMiddle
19. We have demonstrated that automating the process of
developing sensor drivers/wrappers will improve efficiency and
productivity.
Our future work aims at efficient and effective automation of
connecting things to IoT middleware as well as incorporating
generated extended functionality
Conclusion and Future Work
generated extended functionality
We will combine context capturing and semantic data
technologies with processing of sensor data inside the wrapper
itself.
Reasoner on top of ASCM4GSN to include context discovery,
semantic enrichment while generating wrappers
20. Thank you !Thank you !
Dr Arkady Zaslavsky, Professor
Science Leader in Semantic
Data Management
Phone: 02 6216 7132
Email: arkady.zaslavsky@csiro.au