Semantic multimodal compression for wearable sensing systems

Meguerdichian, Saro; Noshadi, Hyduke; Dabiri, Foad; Potkonjak, Miodrag

doi:10.1109/icsens.2010.5690381

Cited by 7 publications

(1 citation statement)

References 28 publications

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“…Semantic multimodal compression models can compresses each segment independently; selecting the best compression method for each section and hence dropping total transmission energy. They develop the semantic multimodal compression (SMC), where they could fragment the signal into its natural phases and then compress each segment independently [5].…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of Wearable Device for Neuropathic Diabetic Foot Patients

Madavi

Giripunje

2015

2015 7th International Conference on Emerging Trends in Engineering &Amp; Technology (ICETET)

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In today's life, biomedical field reach at higher level because of highest development in portable devices and the equipment which are being helping the patients in monitoring and controlling different disease at different stages. But in many work environments, the worker has lot pressure and continuous movement on daily basis which tends to foot related diseases as getting exact details about the foot movement throughout the daily work routine is not possible. In available treatment options in such conditions, they are recommended to employ the compression therapy delivered by bandage, medical-grade stockings, or pneumatic compression devices. As a result of this the patients may suffer from painful period which may cause amputation also especially in case of sensory neuropathy.While these forms of therapy can produce the slight improvements, still it is costly solution and patient remain an issues related to rehabilitation. As alternate of this need the wearable, wireless, portable health monitoring system have recently introduce as a low-cost solution for supervision of foot health condition monitoring. The proposed system is to design and implementation of wearable device for foot for diabetic person for disease monitoring where the system will be capable to detect the level of foot ulcers related issues along with daily exercise level monitoring.

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Section: Related Workmentioning

confidence: 99%

Design and Implementation of Wearable Device for Neuropathic Diabetic Foot Patients

Madavi

Giripunje

2015

2015 7th International Conference on Emerging Trends in Engineering &Amp; Technology (ICETET)

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$ezswap$ : Enhanced Compressed Swap Scheme for Mobile Devices

Kim

Seo

2019

IEEE Access

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The limited memory capacity of mobile devices leads to the popular use of compressed swap schemes, which reduce the I/O operations involving the swapping in and out of infrequently accessed pages. However, most of the current compressed swap schemes indiscriminately compress and store all swap-out pages. Considering that both energy and computing power are scarce resources in mobile devices, and modern applications frequently deal with already-compressed multimedia data, this blind approach may cause adverse impacts. In addition, they focus only on anonymous pages and not on file-mapped pages, because the latter are backed by on-disk files. However, our observations revealed that, in mobile devices, file-mapped pages consume significantly more memory than anonymous pages. Last but not least, most of the current compressed swap schemes blindly follow the least-recently-used (LRU) discipline when choosing the victim pages for replacement, not considering the compression ratio or data density of the cached pages. To overcome the aforementioned problems and maximize the memory efficiency, we propose a compressed swap scheme, called enhanced zswap (ezswap), for mobile devices. ezswap accommodates not only anonymous pages, but also clean file-mapped pages. It estimates the compression ratio of incoming pages with their information entropy, and selectively compresses and caches the pages only with beneficial compression ratios. In addition, its admission control and cache replacement algorithms are based on a costbenefit model that considers not only the access recency of cached pages but also their information density and expected eviction cost. The proposed scheme was implemented in the Linux kernel for Android. Our evaluation with a series of commercial applications demonstrated that it reduced the amount of flash memory read by up to 55%, thereby improving the application launch time by up to 22% in comparison to the original zswap.

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