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* Deadline to register is October 31, 2021. Teams can still edit your proposals during judging period.
Food Related
Soil quality smart monitoring

AS033 »

Making use of Analog Device's EVAL-CN0398-ARDZ board, Intel's cloud connectivity kit, and Azure's IoT services, build a smart station to measure and analize various parameters related to soil quality for smart agriculture. Providing hardware and software solutions for a complete system.

Health
FPGA based Body Area Anomaly Detection System Design for Healthcare

AS036 »

Currently, wireless communication network applications are becoming part of our daily life that cannot be ignored. One of the most important is healthcare application. Physiological and health condition of a person can be detected, processed, transported, and stored easily in (wireless) body area network (W)(BAN). WBANs have several applications including in sports, interactive gaming, military, and security. For instance, aged people show larger dependence on the healthcare system because of age related diseases like cardiac ailments, respiratory problems, arthritis, neurological diseases, and dementia. According to World Health Organization (WHO), by 2047 people 60 and above will be 2 billion, up from 841 million in 2008. According to the US Bureau of the Census, in US alone elderly people are expected to 70 million by 2025, the healthcare expenditure is about $5.4 trillion, which will represent 20% of the GDP. Hence, smart and interactive wireless healthcare system can leverage both the health and economic issues of users.
The three-tier communication architecture of WBAN consists of, (i) BAN node: each node is integrated with biosensors (ECG, SpO2, temperature, etc.) to record patient’s dynamic body parameters and movements; (ii) LPU (Local Processing Unit): to gather data from BSNs and provide to the physicians. It also a router between BAN nodes and the central server using Bluetooth and Wi-Fi for short range and mobile networks for long-range transmission. (iii) back-end infrastructure: which consists of (a) CS (Central Sever), which feeds the patient data to the PD (Patient Database) and (b) Physician Workstation.
The challenges in WBAN are, reliable data transmission, node mobility support and fast event detection, timely delivery of data, power management, and security. Medical data networks are increasingly exposed to external attacks. Safety and privacy of medical data must be guaranteed all the way from the sensor nodes to the back-end services. On the other hand, energy efficiency issue exists at different sensor nodes, and communication and data processing subsystems.
This work focuses on developing a new FPGA based body area anomaly detection system using machine learning techniques by training the behavioral change of body area environment (i.e., indoor and outdoor). Because FPGA is an integrated circuit that contains a large resource of logic gates and memory, it is possible to implement parallel digital computation and executions. This leads to low latency and minimum energy consumption. Hence, we propose system on Chip (SoC) (i.e., Microcontroller Unit (MCU), Central Processing Unit (CPU), and FPGA) at both ends of WBAN system. It enables a wide range of healthcare applications such as ubiquitous health monitoring (UHM), computer assisted rehabilitation, emergency medical response system (EMRS), and promoting healthy living styles.
The objective of this work is to design an energy efficient and secure WBAN for pervasive healthcare system, which reduce patients visit to hospitals. Specifically, to transmit and store medical data securely keeping the privacy, authenticity, availability, and integrity of medical data at the three layers of the WBAN architecture, and to model a power efficient WBAN during data processing and transmission.

Smart City
Smart off sensor

AS037 »

To be able to determine with a higher likelihood when to be be able to turn off electronics, lights, set air conditioning higher and not to interrupt someone at home simultaneously.

Other: Warm homes and clean air for everyone.
Smokeless Chimney

AS041 »

There are 10 million existing wood stoves in the USA alone. Each wood stove is a gathering place and source of heat when the power goes out. People who use wood stove are a passionate group. We have 2 issued patents and one pending patent. We have developed the components to measure the opacity of the emitted smoke and control the combustion reaction to adjust for a cleaner burn. This will bring wood stoves into the 21st Century.

Smart City
A

AS042 »

A

Data Management
Senior Network Engineer

AS043 »

RESUME PAYAM KHOSHBAKHT

EDUCATIONAL RECORDS & CERTIFICATES

COMPTIA CERTIFIED SECURITY+ , 2010
COMPTIA CERTIFIED A+ , 2009
Cisco Certified Network Professional (CCNP), 2009
Cisco Certified Network Associate (CCNA), 2009
Cisco Certified Network Associate (CCNA), 2005
Microsoft Certified Technology Specialist ( MCTS ) , 2009
Microsoft Certified IT PROFESSIONAL ENTERPRISE ( MCITP
ENTERPRISE ) , 2009
Microsoft Certified IT PROFESSIONAL ( MCITP ) , 2009
Microsoft Certified Systems Engineer (MCSE 2003) , 2004
Microsoft Certified Systems Administrator (MCSA 2003) , 2004
Microsoft Certified Database Administrator (MCDBA 2000) , 2004
Microsoft Certified Systems Engineer (MCSE 2000) , 2004

Best Regards,

PAYAM KHOSHBAKHT

Industrial
Sustaining Skilled Labor

AS044 »

My proposal is for a technology suite that uses hardware-accelerated computing features to maximize energy efficiency for industrial use cases. Object detection and classification techniques can be used to evaluate video of occupational tasks in a way like never before.

My technology suite will include a master unit with the FPGA that will capture video and other sensor input from skilled labor tasks. The goal is to identify ideal posture and workflow which can be used to train employees and monitor performance. I would like to have AR safety glasses that could help optimize dexterity and reduce fatigue.

Seamless integration and reasonable power consumption are important to create a system that is successful in the workplace. New technology will allow the entire system to be optimized. The flexibility of the FPGA means that the device could rearrange itself depending on the scope of the workspace (room, table, personal area, etc) for maximum efficiency.

Currently I have an NVIDIA Jetson, Raspberry PI, and another SOC here that was used for Android IoT. I think technology can help document skills that are no longer taught and also make workers more efficient with less fatigue. I have worked on this concept before and think it can be successful. Thank you for considering my application.

Autonomous Vehicles
Autonomous Airship Serving Humanity

AS045 »

We want to build batteries powered, autonomous, low cost (to be easily available globally), airship to monitor,

1- 24x7 monitoring of Agriculture to better protect and enhance yearly yield.
2- Regional environmental data to protect environment,
3- Low cost commute for carrying,
(a) Food
(b) Commuting waste to remote sites
(c) Year round, 24x7 monitoring of different habitats, environmental conditions globally to better protect and enrich environment.
4- Emergency situations monitoring to eradicate root causes, like wild fire.

Water Related
Irrigation Truth

AS048 »

We propose to develop a miniature and low power Soil Moisture Radar (SMR) designed to be mounted on either a land based farm tractor or a low flying airborne platform such as a drone. A GPS module will allow the system to construct soil moisture maps during normal daily farm operation. These maps will allow managers to view the field as a whole and to identify irrigation patterns that are not as easily recognized at ground level, reducing water use and allowing selective crop irrigation thereby reducing water consumption and increasing crop yield.

Health
3d scanner for human fat evaluation

AS049 »

The goal of this project is to develop a 3d scanner to evaluate the body FAT parcentage by processing the cloud points get by rgbd sensors. The results Will be collected by IOT and send to our aws server to analysis.

Industrial
Efficient Robot Controller

AS050 »

With 15 bears experience in building smart service robots, our goal is to leverage the flexibility of the FPGA with sensors attached to the board to create a novel realtime control system for a perceptive robot, which is able to carry out novel tasks at the intersection of Robotics & Machine Learning.

Food Related
Flood Control Monitoring Laboratories

AS051 »

Want to have students work in teams to create a flood monitoring system for hurricane flood control in school parking lots, bridge underpass and street to school passage during heavy rains. I want students to learn how important the FPGA is to the whole picture of edge to cloud A.I. They need to know FPGA's create a significant alternative to processing data at the point of collection. This contest would be highly instructive in A.I. Classes. Teams have yet to be assigned. I would like participation in this contest to be part of a laboratory where they can explore what the fundamentals of FPGA's are and how well they work with Azure Cloud.