Reliability Analysis for Multipath Communications in Mobile Cloud Computing Architectures

Li, Shiyong; Sun, Wei; Zhang, Yaming; Liu, Haiou

doi:10.1155/2018/8539307

Cited by 4 publications

(2 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, Deep Learning (DL) has achieved great progress in object recognition (Tong et al, 2019; Xie et al, 2019), prediction (Yan et al, 2018; Hao et al, 2019), speech analysis (Cummins et al, 2018), noise reduction (Islam et al, 2018), monitoring (Li et al, 2018; Wang et al, 2018), medicine (Raja et al, 2015; Safdar et al, 2018), the recommendation system (Zhang and Liu, 2014), biometrics (Xing et al, 2017) and so on. Traditionally, DL consists of multiple layers of non-linear processing units to obtain the features.…”

Section: Methodsmentioning

confidence: 99%

Cerebral Micro-Bleeding Detection Based on Densely Connected Neural Network

et al. 2019

View full text Add to dashboard Cite

Cerebral micro-bleedings (CMBs) are small chronic brain hemorrhages that have many side effects. For example, CMBs can result in long-term disability, neurologic dysfunction, cognitive impairment and side effects from other medications and treatment. Therefore, it is important and essential to detect CMBs timely and in an early stage for prompt treatment. In this research, because of the limited labeled samples, it is hard to train a classifier to achieve high accuracy. Therefore, we proposed employing Densely connected neural network (DenseNet) as the basic algorithm for transfer learning to detect CMBs. To generate the subsamples for training and test, we used a sliding window to cover the whole original images from left to right and from top to bottom. Based on the central pixel of the subsamples, we could decide the target value. Considering the data imbalance, the cost matrix was also employed. Then, based on the new model, we tested the classification accuracy, and it achieved 97.71%, which provided better performance than the state of art methods.

show abstract

Section: Methodsmentioning

confidence: 99%

Cerebral Micro-Bleeding Detection Based on Densely Connected Neural Network

et al. 2019

View full text Add to dashboard Cite

show abstract

“…for 𝑖 > 𝑀 and 0 otherwise. Here, 𝑁 is the number of available paths, 𝑀 is the number of actually used paths, 𝐾 is the maximum number of failure paths, and 𝑖 the number of failed paths [17].…”

Section: Overview Of Mobile Cloud Computing Architecturementioning

confidence: 99%

Seamless communication techniques in mobile cloud computing: A survey

Constant¹,

Lee²,

Suo³

et al. 2021

ITU-J FET

View full text Add to dashboard Cite

Achieving seamless communication and smooth service provision between the cloud and end user's mobile device is one of the main challenges existing in mobile cloud environments. Mobile Cloud Computing (MCC) allows cloud environments to mitigate resource limitation problems for mobile devices. The most popular mobile devices such as smartphones, autonomous vehicles, drones, and other smart electronic equipment are in constant motion and frequently change their point of connection (base station or edge) to mobile computing networks. In these situations of mobility, the data being transmitted, and the services being provided to the device should not be interrupted as the proper function of the device depends on these services. Applications that rely heavily on data and services stored in the cloud environment should be available even when the device has moved from one pole to another. Various existing generic surveys emphasize important solutions to some of the challenges faced in MCC. Different solutions were proposed to achieve seamless communication in MCC, presenting the taxonomy of the interworking and mobility techniques and their possibilities. However, they have not provided a clear evaluation of MCC techniques for achieving seamless communication and service provision, and have not taken into consideration current technological advances such as 5G, femtocell, etc. In this paper, we provide a survey of the different solutions proposed to achieve seamless communication in MCC by taking current technological advances into account. Furthermore, some shortcomings associated with the presented methods are outlined, along with the current issues and research challenges faced in MCC. However, for the purposes of data protection and security, previously proposed schemes already achieve the goal of protecting users' attribute privacy and they have the same access policy; some can even achieve full security, but they are just limited in decryption efficiency.

show abstract