lilgousiou

About Lilian Gousiou

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So far Lilian Gousiou has created 71 blog entries.
23 02, 2020

Gamification

2020-02-23T04:55:58+03:00

Gamification

GOAL

A scavenger hunt game, where participants are asked to complete a series of tasks. It is used for either educational or entertainment purposes.

HOW IT WORKS

A game consists of one or more paths that players may follow to complete a game. A path consists of two or more scenes (nodes of the path) requiring from players to complete specific tasks, i.e proceed into a specific location (using the device’s coordinates), answer questions, upload or label (annotate) media files.

DEPLOYMENT

The 1st version of the game was used in the 1st Digital Games Festival @ Piraeus (May, 2014). Later versions were used in the context of H2020 project STORM, or several local events i.e. the European Conservation Day of Cultural Heritage (Oct, 2019, co-organised by DIADRASIS and International Council Of Museums (ICOM) Conservation Committee).

BENEFIT

Cost-efficient, game-based motivation technique for crowdsourcing

Researchers in charge of the project:

REFERENCES

Toumanidis, L., Bocaj, E., Kasnesis, P., & Patrikakis, C.Z. (2019). Supporting Cultural Heritage Preservation Through Game-Based Crowdsourcing. In A. Kavoura, E. Kefallonitis, & A. Giovanis (Eds.), Strategic Innovative Marketing and Tourism (pp. 989–997). Springer International Publishing. https://- doi.org/10.1007/978-3-030-12453-3_114

Toumanidis, L., Bocaj, E., Kasnesis, P., & Patrikakis, C.Z. (2019). Supporting Cultural Heritage Preservation Through Game-Based Crowdsourcing. In A. Kavoura, E. Kefallonitis, & A. Giovanis (Eds.), Strategic Innovative Marketing and Tourism (pp. 989–997). Springer International Publishing. https://- doi.org/10.1007/978-3-030-12453-3_114

Gamification2020-02-23T04:55:58+03:00
23 02, 2020

HanGeR

2020-02-23T04:44:22+03:00

HanGeR

HAND GESTURE RECOGNITION

GOAL

HanGeR is a wearable application, used to capture and annotate data from smart watches with 3-axial accelerometer and gyroscope, while making specific gestures. The data collected, feed a dataset to train a Deep Learning model to support for hand gesture recognition. The application is available for Android wear devices.

Hanger – Athens Science Festival
Technopolis, City of Athens
April 24-29, 2018

HOW IT WORKS

Currently, capturing data for 6 gestures is available:

  1.     “Reach for wallet”
    Reach and open the wallet from trouser’s back pocket
  2.     “Look & Reach for Wallet”
    Tap body several times trying to locate the wallet and then give it to someone
  3.     “Hands up”
    Raise hands, acting like under immediate threat (i.e. at gunpoint)
  4.     “Distress signal”
    Shake hand pointing down (usually under stressful situations)
  5.     “Wave”
    Waving at someone

Captured motion data are fed to the trained Deep Learning Model deployed into the smartwatch. The model applies real-time classification according to the aforementioned 5 categories, while the results are transmitted on the LEAs (Law Enforcement Agents) reserved smartphone.

In particular, the captured motion data are emitted to the tethered smartphone and are fed to the trained Deep Learning model, which is deployed to the smartphone. The Deep Learning model classifies them real-time into the aforementioned 6 categories.

BENEFIT
  • Incident reporting in situations where the use of a phone or a smartphone is difficult or even impossible

  • For people not familiar with technology (e.g. elderly people) to send emergency messages with a simple gesture

  • The Neural Network model can be further enriched, adding more recognised gestures

REFERENCES

Kasnesis, P., Chatzigeorgiou, C., Toumanidis, L., & Patrikakis, C. Z. (2019). Gesture-based incident reporting through smart watches. 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 249–254. https://doi.org/10.1109/ PERCOMW.2019.8730586.

Kasnesis, P., Patrikakis, C. Z. , and Venieris, I., S. (2018). “PerceptionNet: A Deep Convolutional Neural Network for Late Sensor Fusion”. In Proceedings of the 2018 Intelligent Systems Conference (IntelliSys), Volume 1, London 6-7 September 2018, edited by Bhatia Rahul, Kohei Arai, and Supriya Kapoor. Springer Nature Switzerland AG.

HanGeR2020-02-23T04:44:22+03:00
23 02, 2020

Quick Report App

2020-04-10T00:57:10+03:00

Quick Report App

Download the Quick Report app from App Store or Google Play.

Download the Quick Report app

from App Store or Google Play.

GOAL

Quick Report is a mobile application paired with a Bluetooth button in the size of a coin, used for sending predefined messages to a target person. Messages are sent by clicking the button, with each type of click (single, double or long), corresponding to a different notification message.

Click  here to see all places on the world where the Quick Report buttons have been pressed.

HOW IT WORKS

Τhe application sends a predefined text (JSON message), either to a server, or to an email account. It has been developed for both iPhone and Android mobile phones. The application is using a paired button (current implementation comes with a flic button) and can be configured by the user.

  • Report user location (optional)

  • Hide the reporter’s identity – no information about the personal ID of the reporter is sent

  • In cases where identified reports are needed to be provided but the identity of the reporter needs to be concealed, CoNSeRT has developed a Privacy Protection Communication Gateway, through which a two stage, non-reversible process is used to unlink the ID of the reporter from the recipient of the report, so that anonymous reporting can be guaranteed.

Hardware/software requirements

The application and back office services of the smart button, require from the user the app installation and an initial configuration of the reports (i.e. how they should be triggered, what happens after, what information is sent, etc.).

In terms of hardware, any BT enabled clicker/button/ device can be integrated (as long as the corresponding libraries or description of operation are available). The current implementation is using the FLIC company button. A specific number of buttons have been produced for this reason and are available to all interested parties, following communication with CoNSeRT members.

DEPLOYMENT

The Quick Report has been deployed in the Horizon 2020 project TRILLION for incident quick reporting. The user can configure a message to be sent to the TRILLION platform, as well as the incident category (i.e. warning, urgency), depending on the button’s click. The solution has been successfully validated in pilots accomplished in London, by Victoria BID, in the context of TRILLION tests (2018).

A monitoring tool of selected smart buttons’ click location and time has been implemented (always with the consent of the user), able to monitor globally, all clicks. This can be used for cases where heat maps of clicked locations need to be provided, for visualization purposes.

BENEFIT
  • Seamless, discreet and quick reporting, without the need to use a smartphone or smartwatch

  • Easy to use (both in terms of the device, but also of the app, which needs only to be installed and configured with no other input from the user after that).

  • Brevity in location sharing (simply clicking a button one or more times)

  • Transparency in exchanging messages since the button has the size of a coin

Researchers in charge of the project:

Download the Quick Report app from App Store or Google Play.

Quick Report App2020-04-10T00:57:10+03:00
23 02, 2020

Cloud computing

2020-02-23T03:40:45+03:00

Cloud Computing

A CLOUD ON-PREMISES INFRASTRUCTURE
GOAL

CoNSeRT has developed a cloud on-premises infrastructure, supporting several research projects, and academic activities.

DESCRIPTION
  • IaaS solution developed based on OpenStack cloud software

  • Kubernetes platform used for the creation and testing of containerized services

  • Creation of Virtual Machines (VMs) providing access to VCPUs, RAM and Storage over Virtual Networking and Public IPs

  • Off-premises cloud resources provided over the GuNet okeanos platform

  • Redundancy of OpenStack services for high network

  • Data availability is guaranteed through the use of CEPH in all storage nodes

CURRENT STATUS

CoNSeRT ’s cloud infrastructure started as a pilot project over a limited amount of resources (4 physical servers) and built upon a legacy architecture and software offered by the OpenStack community (OpenStack Juno).
Current cloud infrastructure includes:

  • Two OpenStack clouds: (i) production infrastructure, for supporting research projects, and (ii) sandbox infrastructure, for the development of solutions

  • Several servers acting as controllers, compute nodes, and networks routers, using the Free PFsense BSD software

  • Microservers that support the Kubernetes platform, part of an HP Bladesystem

USE OF THE INFRASTRUCTURE IN PROJECTS
STORM project

Implement a robust OpenStack production infrastructure for the protection of Cultural Heritage through Technical and Organisational Resources Management (H2020 project STORM). STORM project exploited the use of several VMs, required by several partners to develop platforms and applications in order to collect and process information gathered by sensors. The cloud infrastructure provided enormous amount of resources and offered high availability characteristics, also safeguarding information of significant importance.

EVE-NG

Emulated Virtual Environment – Next Generation (EVE-NG) is a graphical network emulator built upon OKEANOS cloud, supporting both commercial and open-source router images.

VLABs (Virtual Labs)

Supporting student labs through the creation of custom VMs.

Current cloud infrastructure:

  • 2 OpenStack clouds: (i) production infrastructure, for deploying and offering services supporting research projects, and (ii) sandbox infrastructure, development of solutions.
  • 14 servers serving the roles of controllers, compute nodes and networks routers, featuring the use of PFsense Free BSD software.
  • 8 microservers support the Kubernetes platform, part of an HP Bladesystem.

PRESENTATION

Use cases and applications

  • VLABs (Virtual Labs): Supporting student labs through the creation of custom VMs. The creation of the labs allows students to access powerful VMs and perform demanding actions via thin clients with the minimum hardware.
  • STORM project: Implement a robust OpenStack production infrastructure for the protection of Cultural Heritage through Technical and Organisational Resources Management (H2020 project STORM). STORM project exploited the use of several VMs, required by several partners to develop platforms and applications in order to collect and process information gathered by sensors. The cloud infrastructure provided enormous amount of resources and offered high availability characteristics, also safeguarding information of significant importance.
  • EVE-NG: Emulated Virtual Environment- Next Generation (EVE-NG) is a graphical network emulator built upon OKEANOS cloud, supporting both commercial and open-source router images. It is a virtual network emulator developed for testing and developing real life scenarios of network topologies, before apply them in real topologies.

Use of Resources

Openstack cloud resource utilization

92%

90 CPUs

90%

156 GB RAM

30%

12 TB Storage

OKEANOS cloud resource utilization

85%

40 CPUs

96%

50 GB RAM

73%

2 TB Storage

Cloud Community

Our cloud computing team exchanges ideas with other cloud enthusiasts:

  • Meetings to discuss cloud related issues in meetups organized by the OpenStack Athens User Group.
  • Organization of UniWA campus events for students and researchers
  • Collaboration with companies from the industrial sector (i.e. in Stackmasters)
  • Research other OpenStack deployment projects i.e. OpenStack Kolla and Triple-O OpenStack

Researchers in charge of the project:

REFERENCES

Xevgenis, M.G., Toumanidis, L., Kogias, D.G. and Patrikakis, C.Z., 2016, December. The Virtual Lab (VLAB) Cloud Solution. In 2016 IEEE Globecom Workshops (GC Wkshps) (pp. 1-5). IEEE.

Xevgenis, P.K.M.G., Patrikakis, D.G.K.C.Z., Giunta, L.T.G. and Calsi, G.L., 2019. An IoE Architecture for the Preservation of the Cultural Heritage. Harnessing the Internet of Everything (IoE) for Accelerated Innovation Opportunities, p.193.

Cloud computing2020-02-23T03:40:45+03:00
23 02, 2020

WAMPA

2020-02-23T03:36:02+03:00

WAMPA

WEARABLE FOR ACTIVITY MONITORING OF PRODUCTIVE ANIMALS

WAMPA is a wireless, neck-mounted, livestock monitoring device that uses several sensors – including accelerometer and GPS – able to transmit data wirelessly from the collar to a central node on the farm. It provides heat detection and monitoring feeding or rumination patterns, aiming at better animal welfare and health management of farm animals.

HOW IT WORKS

The device is equipped with a gyroscope, an accelerometer and a GPS receiver, and it can record the animal’s location and activity at any time. Captured data are transmitted wirelessly, from the collar to a Central Node on the farm, via a base station, providing information about the animals’ location in real-time. The motion data are further analyzed through Deep Learning Models, extracting valuable information about the animal’s activity patterns that can be correlated with its production and welfare.

Communication

XBee868
Covering a wide range, also offering minimal power
consumption resulting in longer battery life.
Wi-Fi
Complete and detailed activity logs are transferred via
Wi-Fi daily, when animals are inside the barn.

BENEFIT
  • Real time animal geo-location

  • Activity recognition

  • Animal welfare monitoring

  • Wide range

  • No need for mobile data plans or additional charges

  • Comprehensive and user-friendly companion mobile app

REFERENCES

Doulgerakis, V., Kalyvas, D., Bocaj, E., Giannousis, Christos, Feidakis, Michalis, Laliotis, George P., Patrikakis, Charalampos, & Bizelis, Iosif. (2019, November 13). An Animal Welfare Platform for Extensive Livestock Production Systems. Proceedings of the Poster and Workshop Sessions of AmI-2019- European Conference on Ambient Intelligence. http://ceur-ws.org

Doulgerakis, V., Kogias D., G., & Patrikakis, C. Z., “Using Blockchain to monitor a product in the Food Supply Chain: Benefits & Goals”, Decentralized Conference, 14-16 November 2018, Athens, Greece

Voulodimos, A. S., Patrikakis, C. Z., Sideridis, A. B., Ntafis, V. A., & Xylouri, E. M. (2010). A complete farm management system based on animal identification using RFID technology. Computers and electronics in agriculture, 70(2), 380-388.

WAMPA2020-02-23T03:36:02+03:00
23 02, 2020

ECO Box

2020-02-23T02:31:16+03:00

ECO Box

Emergency COmmunication Box
GOAL

ECoBox is a novel way to transmit rescue instructions in cases of emergency, where there is no internet connection due to unforeseen disaster, even when complete power outage occurs.

Demo
HOW IT WORKS

Box side

While the device is powered in administrator mode, the user can upload a new message for broadcasting. In broadcast mode, pressing the corresponding button transmits the corresponding message repeatedly, encoded in chunks, allowing its reception from every device that has installed the corresponding app. Ιf a part is lost, it can be recovered during the next broadcast cycle, while there is also the option to trigger broadcasting remotely.

See a video of pilot deployment in Efesus

App side

Once the app is installed in users’ phone, it immediately starts receiving messages, when they get close to a broadcasting EcoBox. As soon as the (full) message is received, the phone vibrates, notifying the user about the completion of the reception. If a smart watch is available, the message can also be read from the watch.

Download Android App
DEPLOYMENT

ECoBox idea has been conceived by researchers of CoNSeRT leading to a patent application submission (supported by a grant from Bodossakis Foundation) in collaboration with ThinGenious (a spinoff company of UniWA).

USE CASES
  • Roman Ruins of Troia (Portugal) – 8 devices

  • Historical Centre of Rethymno (Greece) – 3 devices

  • Ephesus (Izmir, Turkey) – 5 devices

BENEFIT
  • Operate without the need of power supply, for more than 24 hours

  • Broadcast emergency messages to an unlimited number of recipients

  • Safely broadcast encrypted (tamper proof) messages, without the need of any telecom infrastructure

  • Available for all smartphones able to communicate over WiFi or Bluetooth

  • No need for installation or connection to a local infrastructure

Researchers in charge of the project:

ECoBox idea has been conceived by researches of CONSeRT in the context of H2020 project STORM and has received a grant for patent submission by the Bodossaki Foundation.

ECO Box2020-02-23T02:31:16+03:00
19 01, 2020

Cisco CCNA

2020-02-04T14:16:13+03:00

Senior Researcher Dr. D. Kogias is CISCO CCNA certified

Cisco CCNA2020-02-04T14:16:13+03:00
19 01, 2020

ekdda

2020-01-23T01:49:27+03:00

Senior Researcher Dr. M. Feidakis is a certified trainer by the National Centre for Public Administration and Local Government

ekdda2020-01-23T01:49:27+03:00
19 01, 2020

ITYE

2020-01-23T01:49:42+03:00

Senior Researcher Dr. M. Feidakis is certified in Application of ICT in education – B level training, by DIOFANTOS CTI

ITYE2020-01-23T01:49:42+03:00