International Institute of Information Technology, Hyderabad

About: International Institute of Information Technology, Hyderabad is a education organization based out in Hyderabad, India. It is known for research contribution in the topics: Computer science & Authentication. The organization has 2048 authors who have published 3677 publications receiving 45319 citations. The organization is also known as: IIIT Hyderabad & International Institute of Information Technology (IIIT).

Heterogeneous Dynamic Priority Scheduling in Time Critical Applications: Mobile Wireless Sensor Networks

Abstract: In the unlicensed band, the notion of primary user and secondary user (To implement cognitive radio) is not explicit. By dynamic priority assignment the authors propose to implement cognitive radio in the unlicensed band. In time critical events, the data which is most important, has to be given the time slots. Wireless Sensor nodes in the authors’ case are considered to be mobile, and hence make it difficult to prioritize one over another. A node may be out of the reach of the cluster head or base station by the time it is allotted a time slot and hence mobility is a constraint. With the data changing dynamically and factors such as energy and mobility, which are major constraints, assigning priority to the nodes becomes difficult. In this paper, the authors have discussed about how Wireless Sensor Networks are able to allocate priorities to nodes in the unlicensed band with multiple parameters being posed. They have done simulations on NS-2 and have shown the implementation results.

Experimental determination of comfort benefits from cool-roof application to an un-conditioned building in India

Abstract: Increasing roof reflectance helps in savings in air-conditioning energy consumption, increase in indoor comfort at the building level and mitigates Urban Heat Island effect, reduces net solar radiation absorbed by the earth, lowers local air temperature and pollutant formation, and reducing global warming at the macro level. Previous studies have demonstrated energy savings in buildings using cool roofs. However, not many have evaluated the indoor comfort benefits of cool roofs for unconditioned interior spaces, especially in India. Here, we describe a study of an un-conditioned, institutional building in a composite climate in India. Monitoring was performed for a period of six months (January to June 2012) on two adjacent sections of continuous concrete roof surface, one of which had been previously coated with a white paint coating. The measured shortwave band-averaged (0.3–3 µm) solar reflectance was 0.28 and 0.57, for the uncoated and coated surfaces, respectively. The increased reflectivity reduced ...

Analysis of Lombard speech using excitation source information.

Abstract: This paper examines the Lombard effect on the excitation features in speech production. These features correspond mostly to the acoustic features at subsegmental (< pitch period) level. The instantaneous fundamental frequency F0 (i.e., pitch), the strength of excitation at the instants of significant excitation and a loudness measure reflecting the sharpness of the impulse-like excitation around epochs are used to represent the excitation features at the subsegmental level. The Lombard effect influences the pitch and the loudness. The extent of Lombard effect on speech depends on the nature and level (or intensity) of the external feedback that causes the Lombard effect.

Hybrid implementation of error diffusion dithering

Abstract: Many image filtering operations provide ample parallelism, but progressive non-linear processing of images is among the hardest to parallelize due to long, sequential, and non-linear data dependency. A typical example of such an operation is error diffusion dithering, exemplified by the Floyd-Steinberg algorithm. In this paper, we present its parallelization on multicore CPUs using a block-based approach and on the GPU using a pixel based approach. We also present a hybrid approach in which the CPU and the GPU operate in parallel during the computation. High Performance Computing has traditionally been associated with high end CPUs and GPUs. Our focus is on everyday computers such as laptops and desktops, where significant compute power is available on the GPU as on the CPU. Our implementation can dither an 8K × 8K image on an off-the-shelf laptop with an Nvidia 8600M GPU in about 400 milliseconds when the sequential implementation on its CPU took about 4 seconds.