Drip irrigation, also known as trickle irrigation or micro irrigation or localized irrigation, is an irrigation method that allows water to drip slowly to the roots of plants, through a network of valves, pipes or emitter. Drip Irrigation prevents soil erosion, saves water and can also supply fertilizers to crops. The most significant advantage of this technique is that it allows water conservation as water is supplied in a targeted manner near the root zone of plants in a drip by drip fashion. Objective To Design of a reliable, robust and intelligent drip irrigation controller device for regions devoid of reliable weather prediction and water supply. This device is intended to help farmers make more efficient use of precious water while avoiding dehydration of crops. Expected Outcomes 1. The designed device should be able to determine: Root structure and watering needs of the crop Soil type and moisture level of the soil Water level in a water tank Temperature, humidity, insolation and barometric pressure of the environment, etc. 2. Based on observed environmental factors such as expectation of rain, dampness of the soil, water in reserves etc., schedule a drip irrigation strategy for a certain length of time in future which supervises: When to irrigate or not irrigate a field The drip rates during the intervals when irrigation is enabled Fertilizer supply rates during irrigation, etc. 3. Clearly identify the different tasks and their interdependencies and design an end-to-end functional model. 4. Determine the different hardware components to be used (such as micro-controllers, sensors, relays, modems, LCDs etc.) clearly justifying their need. Finally, obtain an end-to-end architectural model of the system. 5. Clearly describe how the intended function model designed in step 3 should be realized through the architectural model designed in step 4.
Smart India Hackathon 2018
Diabetes is a major public health problem that is approaching epidemic proportions globally and especially in India. According to the International Diabetes Federation, there are now an estimated 65 million adults with diabetes in India. That number is projected to increase to 109 million by 2035. There are basically three types of Diabetics namely, Type-1, Type-2 and Gestational. While Type-2 diabetics can be generally treated with drugs, for the other two cases, insulin is mandatory. The most challenging is the treatment of Type-1 diabetes, primarily because of the age of the target population being children. To elaborate, as insulin is to be injected subcutaneously multiple times in a day (i.e., Bolus before meals and Basal for the entire background of day-night) by self, children generally skip the injections. Gestational Diabetics affect pregnant women, but as the dose of insulin generally is high multiple injections per day makes the process painful. Insulin Pumps also known as Continuous Subcutaneous Insulin Infusion (CSII) therapy has come as a boon for type1 and gestational diabetic patients. The pump is a small battery operated device worn outside the body. It continuously delivers insulin through a very thin tube inserted under the skin. The tube needs to be replaced once in 3-4 days thereby greatly reducing the number of injections. The pump uses fast acting insulin to give a basal (background) rate which is pre-programmed and delivered in small pulses every hour. In addition, a bolus dose of insulin is delivered by pressing buttons on the pump to cover carbohydrate in the food eaten or give a correction if the blood glucose is high. However, the main challenge associated with a pump is the full manual intervention to program the pump based on the patient requirement. While the basal rate can be more or less fixed, however the bolus requirements are quite dynamic and depend on the carbohydrate intake. Thus, effective use of the pump requires extensive knowledge which mainly involves medical professionals. However, the Bolus doses are difficult to be pre-programmed because of the difference in time of meals and amount of carbohydrate intake. Also, insulin doses depend on several other factors which are not taken into account namely, exercise, illness, stress etc. In this hardware Hackathon project, we aim at the design and development of robust, usable and cost-effective insulin pumps with the following salient features: 1. Periodic integrated blood sampling (minimal invasiveness) and testing mechanism carried out by wearable digital micro-fluidic biochips. 2. Automated acquisition of the obtained test reports from biochips, removal of noise and detection of invariants (normal and abnormal events). 3. An efficient feedback based stochastic insulin injection scheduling and pump control mechanism that will not only generate a schedule for the injections but also optimize the insulin dose such that the body’s insulin level is always maintained within a desired comfort band. The algorithms need to be low overhead to take decisions at short time granularities in response to almost instantaneous insulin level changes and disturbances. At the same time they must perform computationally intensive stochastic information processing to account for variations like food intake, exercise, illness, stress etc. while still being reasonably accurate.
In recent years, many bank customers have been victims of the Phishing scams, wherein the attacker posing as a bank official convinces the unsuspecting customers to divulge their bank account credentials like, ATM password, online banking user ID / password details, OTP passwords etc. The aim of this Hackathon project is to develop a voice based system for detecting such attacks. The system is to be an add-on to the existing hardware of a smart-phones that keeps track of certain voice keywords like, PIN code, ATM card, Netbanking, UserID, lucky draw winner etc., in the conversation occurring between the potential attacker and the victim. When these keywords are detected, the system switches to the surveillance mode and starts tracking various details about the potential attacker like, the origin/location of the attacker’s call, phone no., service provider details etc., and stores them in a temporary memory. If there are any transactions in the customer’s bank account within a predefined threshold time (user configurable to the hardware) after the conversation has ended, then the system sends an alert message to both the customer and bank about the transactions. The alert message comprises various details regarding the bank transaction like, IP address of the machine from where the transaction was carried out, transaction ID, time stamp of transaction, phone numbers details (service provider names, phone user names and geographic location) of both the user and the potential attacker.
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