Demos & Exhibits
The tentative floor plan is available
The 11th International Conference on COMmunication Systems and NETworkS (COMSNETS) will be held in Bangalore, India, during January 7--11, 2019. COMSNETS is a premier international conference dedicated to advances in Networking and Communications Systems. The conference is a yearly event for a world-class gathering of researchers from academia and industry, practitioners, and business leaders, providing a forum for discussing cutting edge research, and directions for new innovative business and technology.
We invite demos from researchers, startups, and corporates that showcase cutting edge information technologies and applications thereof. Every selected demo will be exhibited and given ample time for audience interactions. Corporate and research demos will have the option of longer demos.
COMSNETS is the premier conference in its domain held in India. This is an unique opportunity to showcase your technologies and applications to an international audience that is helping build the next generation of technologies. To ensure you get the most out of the event we have the following planned:
Interactions with expert panels
Showcase to industry partners, potential recruits and potential investors
Media coverage during the event
Wider outreach as part of conference proceedings
The COMSNETS 2019 Demo committee will review all submissions to select the accepted demos. All accepted demos will be considered for the Best Demo Award. A committee will decide the winner on-site after evaluating all demo presentations.
There are following two different submission categories i.e. research demo, and product demonstrations.
Research Demo: Research prototype with novel and clear technical contributions are invited. Authors of accepted full papers are highly encouraged to submit original demo entry.
A maximum of 3-page extended abstract of the demo that captures motivation for the problem, the solution approach, results (if any), and a brief description of the technology demonstration. The abstract should use the same template as for the conference paper submission. Abstracts which do not adhere to the conference template will be rejected without review. All submissions must be in PDF format.
All the submitted entries will go through peer-review process. Accepted and presented submissions in this category will be published in the conference proceedings and submitted to Abstracting and Indexing (A&I) databases.
Start-ups and Product Demos: Proposals (maximum of 3 pages) to showcase products from startups and industries are invited in this category. Submissions in this category will require a proposal outlining the motivation and the technology/use case that will be demoed. All the sponsoring organizations are encouraged to submit an entry in this category.
Please make your submissions at http://edas.info/N25119.
- Camera ready versions of the documents are needed only for Research Demos.
- Camera ready instructions are at https://www.comsnets.org/camera_ready.html. The paper limit for demo submissions is a minimum of 1 page and a maximum of 3 pages.
- The authors of the accepted papers should submit the camera ready paper and the copyright transfer via the EDAS site for their respective demos. This CANNOT be done over email.
The following default setup will be available for each demo (there might be minor last minute changes):
A single 6 x 2.5 ft table.
Extension power cable/multi-point (the organizers would highly appreciate if suitable power adapters are brought by the participants. India uses a 220V/5A power supply with Indian power sockets though in some casesthe power sockets might allow for US style power plugs).
A single easel for displaying any related poster that must be of size 3x4ftin portrait mode.
|Notification of acceptance|
|Camera Ready submissions||13th December 2019 (For research demos only)|
- Sponsoring companies have complimentary registration to Demos & Exhibits (MAX 2 people per demo).
- Non sponsoring companies have to pay Rs. 5000/- for each demo (MAX 2 people per demo). For this type of registration, one needs to use either the "Bank Draft" or "Wire Transfer" method to register (https://www.comsnets.org/registration.html#payment), as the regular registration form does not cater to demo registrations for the startup/product demos. Also, please send the wire transfer reference number/screenshot to Ms. Chandrika at [email protected] with a CC to the demo chairs ([email protected]).
- For research demos – each participant should have a main conference registration. Demos by authors with affiliations of academic establishments are considered research demos. Students can get discounted, student registration rates. This can be done via the usual registration process (https://www.comsnets.org/registration.html).
Title: Intelligent Apps for the next generation intuitive network [+]
Programmable networks can offer very efficient and granular control of resources to applications and users. Consider a situation where 100s of users belonging to a certain project can be automatically be onboarded (assigned the right IP subnet, policies, access) on the network using Rest APIs. Or another situation where based on the user activity, the user can be quarantined in the network itself rather than at the application. All of these can be achieved by intelligent apps which will use REST APIs exposed by a network controller. The demo/exhibit we propose will showcase DNAC (Digital Network Architecture Controller), the REST APIs it exposes and also apps that have been built using these APIs.
The DNAC is a centralized configuration, management and analytic engine that manages the whole network. It can program policies on the network, segment the network for different users for security, analyse the data of the network and make intelligent decisions and give a single point of control to the network. What makes it even more amazing is the REST APIs it exposes that will enable apps to be written that can extract the potential of the network to its fullest.
Title: TensorFlow at the Edge [+]
TensorFlow is a machine learning framework, with a focus on neural networks. We have enabled the TensorFlow runtime engine, known as TensorFlow Serving, to run on Cisco IOx, thereby enabling IOx Fog applications to easily use neural network models on large amounts of data available at the edge, to derive local intelligence efficiently and quickly. In this demo, we showcase a demo IOx application that receives camera feed from a local camera, to detect human figures by using a TensorFlow model trained on human figures, and subsequently perform selective reporting to a cloud dashboard, thereby avoiding bandwidth costs of transferring the entire camera video stream to the cloud.
Title: Qualcomm XR (Extended Reality) solutions demo [+]
Come and immerse yourself into rich sensory experiences on Qualcomm’s mobile XR devices. The Snapdragon XR platforms are engineered to support high-quality UltraHD premium video with fast graphics and low power consumption, allowing users to lean back and immerse themselves in their favorite movie, videos, and sports.
Title: Sensor Identification and Fault Detection in IoT Systems [+]
The proliferation of Internet of Things (IoT) devices has led to the deployment of various types of sensors in the homes, offices, buildings, lawns, cities, and even in agricultural farms. Due to the diverse nature of IoT deployments and the likelihood of sensor failures in-the-wild, a key challenge in the design of IoT systems is ensuring the integrity, accuracy, and fidelity of sensor data.
We present a system based on the Fall-curve primitive -- a sensor's voltage response when the power is turned off -- to characterize the sensor. A sensor's Fall-curve constitutes a unique signature using which it is possible to identify the sensor and also detect whether it is operating correctly or not. In this demo, we show Fall-curve in action to accurately detect and identify the sensors connected to an IoT device. Furthermore, we also show that Fall-curves can reliably detect various transient and permanent sensor faults in an IoT device.
Title: Infusing Trust and Transparency in AI Systems [+]
In this demo, we will go over basic components of Trusted AI. We will show how Data Bias detection and mitigation algorithm works in practice. We will argue how end to end provenance can help add extra level of trust with the consumer. Finally, we will go over IBM's hybrid approach to handle this complex problem. Business users can make sure of this technology via interactive interfaces where core AI developers can start by using our opensource toolkit AIF60.
Title: NetSim - Accelerate your Network R & D [+]
NetSim is a leading network simulation and emulation software for protocol modeling and simulation. It enables modeling, simulation and analysis of a wide range of wired, wireless, mobile and sensor networks. NetSim is being used by over 400+ customers across 20 countries.
Title: Collaboration in Digital Reality [+]
The paper outlines the features, use cases, modules and key success stories of NuSpace - a multi-user, multi-device, multi-location collaboration platform in Digital Reality. NuSpace is the flagship product of Imaginate, a company providing exciting products and services in the area of Virtual,Augmented, and Mixed reality. NuSpace provides end-to-end infrastructure for geographically distributed teams to collaborate over contextual 2D/3D data. This makes it a great platform to fully tap into the vast powers of immersive realities to improve process efficiencies, enhance employee productivity and reduce travel expenses. The platform is being used across a wide range of industries for collaborative training, design reviews, support and maintenance, guided walk throughs and remote sales. Imaginate would like to demonstrate the power of collaborating in an immersive world during the COMSNETS 2019 conference.
Title: Ostinato - a scalable open-source packet generator [+]
Ostinato is an open-source packet generator and network test tool that aims to provide a traffic generator to every network engineer, developer and tester to help improve their productivity, effectiveness and the overall product quality.
It hopes to replace the highly expensive commercial solutions from companies like Ixia, Spirent etc. which are a scarce resource due to their prohibitive cost even for major networking vendors like Cisco and Juniper.
Ostinato is of interest to all COMSNETS attendees including industry folks, teachers, students and researchers. And Ostinato will benefit by this exposure and marketing opportunity.
Title: WiFi Network Insights [+]
Large-scale WiFi networks are becoming increasingly common in telco and distributed enterprise scenarios. Such networks comprise 1000s of Access Points, deployed over 100s of locations. While the management of each location is typically done by teams at the local level, there is generally a centralized Network Operations Center (NOC) which manages the entire network. NOC personnel require both a bird's eye view of the entire network as well as in-depth details of each location. Hence, there is a need for a dashboard that can provide insights into the network performance at multiple levels of spatio-temporal granularity. We have built such a dashboard using a set of Key Performance Indicators (KPIs), periodically generated by the network, stored in CSV files. A Big Data platform has been setup which pulls these files and abstracts the KPIs as time and location-based visualizations, providing insights into network performance across different metrics.
Title: NETWORK IN A BOX - Automation of secure SD-WAN with Service chaining in Juniper NFX [+]
With the increase in foot print for networking services using cloud based technologies, network service providers/manufacturers have to effectively test the cloud services with limited resources and time in cost effective manner. The Network-in-a-box offers to quickly deploy the cloud networking services and validate the solutions needed by the field.
The Juniper NFX devices offer deployment of Secure SDWAN with service chaining using Juniper and other 3rd party VNFs integrated in a single box. This provides an excellent platform to test, validate and automate the customer deployment use cases. The VNFs that can be supported by NFX includes vSRX(SDSN) and various 3rd party VNFs. Using the REST APIs end-to-end interactions can be automated which enables the vendors to quickly validate and regress the changes.
The demonstration includes creating 5 VNFs in Juniper NFX - 1xtraffic generator, 1xL2/L3 service chain, 2xVSRX and 1xCentOS(to simulate network impediments).
Title: Stridalyzer INSIGHT [+]
Lower-body biomechanical analysis is crucial for diagnosing and rehabilitating certain injuries and ailments. Conventionally, this has been achieved using video cameras and motion sensor based systems. However, these systems are limited in usability to in-clinic only, and are cumbersome to set up and drive. We present a smart insole based system: Stridalyzer INSIGHT, consisting of insoles embedded with 6-axis motion sensor (accelerometer & gyroscope) and pressure sensors, which connects via Bluetooth to its mobile application with patent-pending real-time and context-aware analytics and cloud-based engine for long-term analysis. The device finds its application in prevention and diagnosis of injuries, rehabilitation and biomechanical research. The insole sensors provide real-time pressure maps for key pressure points, as well as linear & rotational motion of the foot. Using these data, the application performs accurate analysis of stride properties like center of balance (COB), ground contact time (GCT), degree of pronation, peak and mean ground reaction forces (GRFs). Long term trend analysis for specific gait parameters for each user/patient is provided by cloud software.
Title: VideoKen: Supercharge your videos with AI [+]
Videos are hard to peer inside. The rich information hiding inside the videos needs to be uncovered. All textbooks come with a table-of-contents and a glossary, which summarize the key topics being covered by the textbook and help the reader identify which pages cover a specific topic. Why should informational videos be any different? However, since millions of informational videos already exist without a table-of-contents or glossary, there is a need to create those indices automatically.
At a high level, the key problem is one of user engagement for informational videos, and there are related problems of topic discovery and search within videos. This is an open problem, affecting hundreds of millions of viewers of videos on the internet.
VideoKen is an AI-based platform that makes any informational videos richer and more consumable by automatically indexing videos, creating table-of-contents (ToC) and phrase cloud, which nicely summarizes key topics in a video. It works on cutting edge technologies to uncover rich information hiding inside the videos. Our novel video processing pipeline implements customized state-of-art AI techniques, which deal with multi-modal unstructured data, including text, images, audio and enables a powerful and new video viewing experience for our end users. VideoKen's embedded video player provides unique navigational capabilities to jump within a video to points of interest to the viewer. VideoKen further provides insights on which topics within a video received more views, and where the viewers left the video. We solve the problem of "opaqueness" of videos, due to which most viewers don't watch past the first few minutes of an informational video. Our data shows viewer engagement is increased 2x or more with our indexing features.
Here's a quick overview of the product: https://videoken.com/embed/iCkM4eccQAQ
You can experience the technology at https://videoken.com
Title: Edge enabled Artificial Intelligence for Diabetic Retinopathy screening on a smartphone [+]
We developed a smartphone-based retinal camera with an on-device offline low latency diagnosis capability based on deep learning. This opens doors for better healthcare in remote rural regions.
Title: Error-tolerant Beam Steering of mmWave Antennas by Trajectory Estimation of Highway Vehicles [+]
We study the effect of information update delay on the minimum required beam width of the antenna for information exchange. For high-speed data information exchange, millimeter wave antennas are our choice of antenna and we deploy them along the highways to provide connectivity to the high-speed vehicles. We present a novel technique of predicting the trajectory of the vehicle for a short interval of time by approximation, which performs at par with the accurate calculations. The calculations also account for the Gaussian noise present in the GPS information which leads to an error in the predicted position. Considering the trade-off between the update delay and the directivity of the beam, we aim to obtain an optimum range of beamwidth by scaling and intersecting the directivity curve with update delay curve.
Title: An Uplink Multi-Access system for High Definition Video Transmission [+]
We share our approach to implementation of a working uplink multi-access system that caters to the use-case of a mobile smart ambulance. The functional design, along with some of the implementation details are provided. A way forward to implement this setup in product form is also discussed. This setup has been used to obtain results in our related paper to appear in Comsnets main conference .
Title: An Exploratory Analysis on Data Features and Analysis Techniques in Social Networks [+]
Now a days the growth of social networking sites gained much popularity around the world. Social networks provide a means for users to interact or communicate over the internet. Some of the trending social medias include facebook, twitter, whats app, linkedin, instagram, google+ and so on. These networks help to share their ideas, information, opinions in daily activities. It helps the users to create their individual platforms to connect with each other through online networks. Social networks also help to share multimedia data like audios, videos, stories and animations. Users can access these social media services via web-based technologies through desktop, laptops, smart phones and tablets. Social networks is a highly interactive platforms through which individuals, communities and organizations can share, co-create, discuss and modify the data through internet. In this paper the preliminary work concerning with several types of data features of social networks and also it discuss about the detailed data analysis on social networks.
Title: Lightweight Web Service Dependency Tool [+]
In web applications with tier-wise architecture, a server in tier n takes services from a server in tier n+1. Determining service dependencies helps in debugging end user response time issues, to improve the quality of online experience and understanding the exact nature of dependencies amongst the tiers. Commercial tools with high licensing costs work by instrumenting the code, aid in analysis, but their impact on performance cannot be ignored. The tool presented
in this paper is based on a simple and light weight technique to learn service dependencies from the network packet traces
Title: Real-time GPS tracking using serverless architecture and ARM processor [+]
There have been many advancements in the field of technology which have helped to shape better solutions for the problems of today. One such advancement that has provided extraordinary services with minimal effort is cloud computing. The aim of this work is to build a GPS tracker for vehicles using serverless architecture. It is equipped with a suitable mobile/web application for viewing the live results. The location data is stored in a cloud database that can be used for processing. The route that the vehicle takes is plotted using google maps after the 'to and from' dates are selected by the user. This can be viewed on the website that is specially designed for this vehicle tracking application. An email is sent to the user if movement outside a specific geographical boundary is detected. These geographical boundaries or geofences are customized based on the user's desire. Incorporating cloud computing has increased the efficiency of storage and analysis of data. Thereby, enhancing the features available in vehicle tracking applications.
Title: An adaptive threshold energy detection mechanism using GNU Radio on USRP [+]
Cognitive Radio (CR) effectively addresses the under-utilization of spectrum in the wireless environment. Energy Detection (ED), a spectrum sensing mechanism, plays a vital role in identifying the spectrum holes. However, the ED performance and the static threshold are negatively affected by uncertainty in the noise power. In this paper, we propose an adaptive ED mechanism using dynamic threshold detection. The mechanism calculating the estimated noise power from the received random samples. This calculation is iterated for minimizing the false alarm rate and maximizing the detection rate of the Primary User (PU) signal. The proposed model is implemented using ISM 2.4GHz frequency bands in USRP NI-2932 and GNU radio processing blocks. In our results, the sensing errors are minimized, and the sensitivity of ED is also improved by mitigating the adverse effects of the noise.
Title: Develop Leave Application using Blockchain Smart Contract [+]
In today's time, we use leave application system which is managed by the administrator or central authority,can be corrupted or misuse by single authority and takes a lots of time for approval. So, in this paper we have developed smart contract architecture for Leave Management System using Solidity on Ethereum which is a decentralized app architecture leveraged from Blockchain Technology. We also include smartphones as Iot devices by which any client uses this app. Due to the resource constrained nature of these devices, the smart contract app coupled with an alternative centralized architecture which is a classic client/server architecture with an underlying Blockchain backend.