Research on Wireless Storage System Key Technologies

Zeng, Wenying; Zhao, Yuhai; Song, Wei; Ou, Kairi

doi:10.1109/iccit.2009.243

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…Wireless storage system being a part of the wireless network has not been used in large-scale applications because of having many issues such as limited bandwidth, unreliable channel, heterogeneity and so on [1]. After integrating WSN with cloud environment these shortcomings are surpassed.…”

Section: Introductionmentioning

confidence: 99%

Efficient Sensor-Cloud Communication using Data Classification and Compression

Rahman¹,

Salan²,

Shuva³

et al. 2017

IJITCS

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Abstract-Wireless Sensor Network, a group of specialized sensors with a communication infrastructure for monitoring and controlling conditions at diverse locations, is a recent technology which is getting popularity day by day. Besides, cloud computing is a type of high-performance computing that uses a network of remote servers which simultaneously provides the service to store, manage and process data rather than a local server or personal computer. An architecture called sensor-cloud is also providing good services by combining the capabilities from both ends. In order to provide such services, a large volume of sensor network data needs to be transported to cloud gateway with a high amount of bandwidth and time requirement. In this paper, we have proposed an efficient sensor-cloud communication approach that minimizes the enormous bandwidth and time requirement by using statistical classification based on machine learning as well as compression using deflate algorithm with a minimal loss of information. Experimental results describe the overall efficiency of the proposed method over the traditional and related research.

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Section: Introductionmentioning

confidence: 99%

Efficient Sensor-Cloud Communication using Data Classification and Compression

Rahman¹,

Salan²,

Shuva³

et al. 2017

IJITCS

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e-Derma – a Novel Wireless Dermatoscopy System

Dugonik

Horvat

et al. 2017

J Med Syst

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Cutaneous Melanoma (CM) is a malignant tumour, and is one of the most rapidly growing cancers. Discovering a melanoma in the early stages of the disease is extremely difficult and, as such, only an invasive disease stage can be identified easily with the naked eye. Dermatoscopy is a diagnostic method intended to maximise early detection of CM performed by the dermatoscopy system. To address the limitations of existing systems a novel, wireless digital dermatoscopy system is presented for providing high-resolution images. It integrates a wire-free camera operation and offers a safe transfer of captured images to the computer. The working process of available dermatoscopy systems was studied, which are the most commonly used in everyday dermatology practice. Some findings, like operability, image quality, scalability, user-friendliness, and safeness, were used for the development of an e-Derma dermatoscopy system. An assessment method was performed by a group of dermatoscopy trained dermatologists to evaluate the quality of the testing images. Finally, a laboratory evaluation of images in regard to different parameters like sharpness, colour representation and illumination was performed with the side-by-side comparison of images of available dermatoscopy systems. e-Derma is a novel dermatoscopy system, which eliminates some limitations of existing systems and provides high-quality images. A novel low-budget highly capable dermatoscopy system is presented. The integrated wireless image transfer technology eliminates the movement limitations of a therapist. The image resolution is not limited by the integrated camera; it is easily upgradable with a wide range of on market alternative or improved camera models.

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