Solar-Powered Bushfire Detection Mechanism

This project designed a prototype preventative measure for heat-induced disasters like bushfires and general home fires. The motivation for this project was the loss of life and property due to wildfire in rural Australia. The micro-controller will send an alert message and sound an alarm when the temperature value exceeds or equals the set temperature of . It is programmed using the programming language embedded ‘C’. Comprising of a solar panel, siren, temperature sensor and a Bluetooth module, this eco-friendly device can provide digitalised warnings to homes and farms where protection matters most. Simplistic programming using the KEIL IDE software in conjunction with a commenced after initial stages like a schematic and box diagram were formed using the ‘SchematoPro’ software. Following this, the power source was attached. To test the prototype, we used boundary case testing to verify the functionality of each component under certain circumstances. The quality of the temperature sensor was tested by comparing it to that of an alternate temperature probe which had a tool error of +/- 0.01. A humidity and smoke sensor could be attached to ensure a more realistic indication of a heat-induced threat. As an alternative to the Bluetooth module, a GSM system could be used to further the range of the device domestically

Solar-Powered Bushfire Detection Mechanism

This project designed a prototype preventative measure for heat-induced disasters like bushfires and general home fires. The motivation for this project was the loss of life and property due to wildfire in rural Australia. The micro-controller will send an alert message and sound an alarm when the temperature value exceeds or equals the set temperature of . It is programmed using the programming language embedded ‘C’. Comprising of a solar panel, siren, temperature sensor and a Bluetooth module, this eco-friendly device can provide digitalised warnings to homes and farms where protection matters most. Simplistic programming using the KEIL IDE software in conjunction with a commenced after initial stages like a schematic and box diagram were formed using the ‘SchematoPro’ software. Following this, the power source was attached. To test the prototype, we used boundary case testing to verify the functionality of each component under certain circumstances. The quality of the temperature sensor was tested by comparing it to that of an alternate temperature probe which had a tool error of . A humidity and smoke sensor could be attached to ensure a more realistic indication of a heat-induced threat. As an alternative to the Bluetooth module, a GSM system could be used to further the range of the device domestically

Solar-Powered Bushfire Detection Mechanism

This project designed a prototype preventative measure for heat-induced disasters like bushfires and general home fires. The motivation for this project was the loss of life and property due to wildfire in rural Australia. The micro-controller will send an alert message and sound an alarm when the temperature value exceeds or equals the set temperature of . It is programmed using the programming language embedded ‘C’. Comprising of a solar panel, siren, temperature sensor and a Bluetooth module, this eco-friendly device can provide digitalised warnings to homes and farms where protection matters most. Simplistic programming using the KEIL IDE software in conjunction with a commenced after initial stages like a schematic and box diagram were formed using the ‘SchematoPro’ software. Following this, the power source was attached. To test the prototype, we used boundary case testing to verify the functionality of each component under certain circumstances. The quality of the temperature sensor was tested by comparing it to that of an alternate temperature probe which had a tool error of +/- 0.01. A humidity and smoke sensor could be attached to ensure a more realistic indication of a heat-induced threat. As an alternative to the Bluetooth module, a GSM system could be used to further the range of the device domestically

Interactive in situ visualization of large volume data

Three-dimensional volume data is routinely produced, at increasingly high spatial resolution, in computer simulations and image acquisition tasks. In-situ visualization, the visualization of an experiment or simulation while it is running, enables new modes of interaction, including simulation steering and experiment control. These can provide the scientist a deeper understanding of the underlying phenomena, but require interactive visualization with smooth viewpoint changes and zooming to convey depth perception and spatial understanding. As the size of the volume data increases, however, it is increasingly challenging to achieve interactive visualization with smooth viewpoint changes. This thesis presents an end-to-end solution for interactive in-situ visualization based on novel extensions proposed to the Volumetric Depth Image (VDI) representation. VDIs are view-dependent, compact representations of volume data than can be rendered faster than the original data. Novel methods are proposed in this thesis for generating VDIs on large data and for rendering them faster. Together, they enable interactive in situ visualization with smooth viewpoint changes and zooming for large volume data. The generation of VDIs involves decomposing the volume rendering integral along rays into segments that store composited color and opacity, forming a representation much smaller than the volume data. This thesis introduces a technique to automatically determine the sensitivity parameter that governs the decomposition of rays, eliminating the need for manual parameter tuning in the generation of a VDI. Further, a method is proposed for sort-last parallel generation and compositing of VDIs on distributed computers, enabling their in situ generation with distributed numerical simulations. A low latency architecture is proposed for the sharing of data and hardware resources with a running simulation. The resulting VDI can be streamed for interactive visualization. A novel raycasting method is proposed for rendering VDIs. Properties of perspective projection are exploited to simplify the intersection of rays with the view-dependent segments contained within the VDI. Spatial smoothness in volume data is leveraged to minimize memory accesses. Benchmarks are performed showing that the method significantly outperforms existing methods for rendering the VDI, and achieves responsive frame rates for High Definition (HD) display resolutions near the viewpoint of generation. Further, a method is proposed to subsample the VDI for preview rendering, maintaining high frame rates even for large viewpoint deviations. The quality and performance of the approach are analyzed on multiple datasets, and the contributions are provided as extensions of established open-source tools. The thesis concludes with a discussion on the strengths, limitations, and future directions for the proposed approach

A Russo-Dye type Theorem and Stinespring representation for invariant block multilinear completely positive maps

In this article, we investigate certain basic properties of invariant multilinear CP maps which hold true in the theory of CP maps between two $C^*$-algebras. In some cases, results are affirmative and in some cases results are negative. For instance, we show that every invariant multilinear CP map is automatically symmetric and completely bounded. Surprisingly these results are unknown in the literature (see \cite{Heo 00,Heo,HJ 2019}). As a negative result, we provide a concrete example of positive multilinear map $\varphi : C(X)^{3} \to \mathbb{C}$ which is not CP. We also prove Russo-Dye type theorem for invariant multilinear positive maps on a commutative domain. Further, we provide a simple and independent proof of Stinespring dilation theorem for block CP maps. This generalizes the work of A. Kaplan \cite{AK89}. We introduce multilinear version of invariant block CP map $\varphi=[\varphi_{ij}] : M_{n}(\mathcal{A})^k \to M_n(\mathcal{B({H})})$. Then we derive that each $\varphi_{ij}$ can be dilated to a common commutative tuple of $*$-homomorphisms. This result is a generalization of J. Heo's Stinespring type dilation theorems of \cite{Heo99,Heo}. As a special case of our result recovers a finer version of J. Heo's Stinespring type dilation theorem of \cite{Heo} as we do not use the additional assumptions symmetric and completely bounded in the hypothesis. As a natural appeal, the suitable notion of minimality has been identified in this framework. As an application, we show Russo-Dye type theorem for invariant multilinear completely positive maps.Comment: 30 pages, comments and suggestions are welcom

IruMozhi: Automatically classifying diglossia in Tamil

Tamil, a Dravidian language of South Asia, is a highly diglossic language with two very different registers in everyday use: Literary Tamil (preferred in writing and formal communication) and Spoken Tamil (confined to speech and informal media). Spoken Tamil is under-supported in modern NLP systems. In this paper, we release IruMozhi, a human-annotated dataset of parallel text in Literary and Spoken Tamil. We train classifiers on the task of identifying which variety a text belongs to. We use these models to gauge the availability of pretraining data in Spoken Tamil, to audit the composition of existing labelled datasets for Tamil, and to encourage future work on the variety.Comment: 4 pages main text, 7 tota

CausalGym: Benchmarking causal interpretability methods on linguistic tasks

Language models (LMs) have proven to be powerful tools for psycholinguistic research, but most prior work has focused on purely behavioural measures (e.g., surprisal comparisons). At the same time, research in model interpretability has begun to illuminate the abstract causal mechanisms shaping LM behavior. To help bring these strands of research closer together, we introduce CausalGym. We adapt and expand the SyntaxGym suite of tasks to benchmark the ability of interpretability methods to causally affect model behaviour. To illustrate how CausalGym can be used, we study the pythia models (14M--6.9B) and assess the causal efficacy of a wide range of interpretability methods, including linear probing and distributed alignment search (DAS). We find that DAS outperforms the other methods, and so we use it to study the learning trajectory of two difficult linguistic phenomena in pythia-1b: negative polarity item licensing and filler--gap dependencies. Our analysis shows that the mechanism implementing both of these tasks is learned in discrete stages, not gradually.Comment: 9 pages main text, 26 pages tota

Strategic Placement of Electric Vehicle Charging Infrastructure for Sustainable Mobility in Maharashtra

India is committed to reduce its carbon footprints massively by undertaking several projects. Central to this endeavor is the National Electric Mobility Mission Plan 2020 which promotes adoption of electric vehicles and aims at forming a blueprint for electric vehicle infrastructure. But the biggest hurdle for a seamless transition into a more sustainable future is the placement of charging stations country wide. Unlike petroleum-based stations, current electric vehicle charging infrastructure is not so widespread. The objective of this study is to analyze and predict the optimal location for placement of electric vehicle chargers within the expansive state of Maharashtra. These locations are affected by several factors such as poor connectivity, poor power network distribution etc. The proposed solution uses a dual-method approach, giving consideration to a multitude of factors that impact these locations, thereby, to enhance precision of our prediction. A greedy algorithm is applied to process and evaluate the critical data. The evaluation obtained provides a foundation upon which further analysis is done by applying the Steiner Tree method. Through rigorous analysis we predict the optimal number of electric vehicle chargers in each district of Maharashtra. Our predictions align harmoniously with what would conventionally be considered accurate according to the real-world requirements. This study lays the foundation for future strategic blueprints for development of electric vehicle infrastructure in India which plays a pivotal step in a more sustainable future