Privacy Guaranteed Mutual Authentication on EPCglobal Class 1 Gen 2 Scheme

Concerning the security weakness of EPC scheme especially on privacy concerned applications, an anonymous mutual authentication protocol is proposed for light-weight security inauguration on Class 1 Gen 2 UHF RFID (EPC C1G2) scheme. By utilizing the existing functions and memory bank of tag, we amend the processing sequence based on current EPC architecture. And an auto-updating index number IDS is enrolled to provide privacy protection to EPC code. A light weight encryption algorithm utilizing tagpsilas existing PRNG and keys are introduced for mutual authentication. Several attacks to the RFID solutions can be effectively resolved through our improvement.published_or_final_versio

PGMAP: a privacy guaranteed mutual authentication protocol conforming to EPC class 1 gen 2 standards

To resolve the security vulnerabilities and comply with EPC Class 1 Gen 2 UHF RFID (EPC C1G2) Standard at the same time, we present a Privacy Guaranteed Mutual Authentication Protocol (PGMAP). By utilizing the existing functions and memory bank of tag, we amend the processing sequence based on current EPC architecture. An auto-updating index number IDS is enrolled to provide privacy protection to EPC code and a set of light weight algorithms utilizing tag's PRNG are added for authentication. Several attacks to the existing security solutions can be effectively resolved in our protocol. © 2008 IEEE.published_or_final_versionThe IEEE International Conference on e-Business Engineering (ICEBE 2008), Xi'an, China, 22-24 October 2008. In Proceedings of ICEBE, 2008, p. 289-29

TuNet: End-to-end Hierarchical Brain Tumor Segmentation using Cascaded Networks

Glioma is one of the most common types of brain tumors; it arises in the glial cells in the human brain and in the spinal cord. In addition to having a high mortality rate, glioma treatment is also very expensive. Hence, automatic and accurate segmentation and measurement from the early stages are critical in order to prolong the survival rates of the patients and to reduce the costs of the treatment. In the present work, we propose a novel end-to-end cascaded network for semantic segmentation that utilizes the hierarchical structure of the tumor sub-regions with ResNet-like blocks and Squeeze-and-Excitation modules after each convolution and concatenation block. By utilizing cross-validation, an average ensemble technique, and a simple post-processing technique, we obtained dice scores of 88.06, 80.84, and 80.29, and Hausdorff Distances (95th percentile) of 6.10, 5.17, and 2.21 for the whole tumor, tumor core, and enhancing tumor, respectively, on the online test set.Comment: Accepted at MICCAI BrainLes 201

Bone Marrow Stem Cell Treatment for Ischemic Heart Disease in Patients with No Option of Revascularization: A Systematic Review and Meta-Analysis

PMCID: PMC3686792This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

An Electrocorticographic Brain Interface in an Individual with Tetraplegia

Brain-computer interface (BCI) technology aims to help individuals with disability to control assistive devices and reanimate paralyzed limbs. Our study investigated the feasibility of an electrocorticography (ECoG)-based BCI system in an individual with tetraplegia caused by C4 level spinal cord injury. ECoG signals were recorded with a high-density 32-electrode grid over the hand and arm area of the left sensorimotor cortex. The participant was able to voluntarily activate his sensorimotor cortex using attempted movements, with distinct cortical activity patterns for different segments of the upper limb. Using only brain activity, the participant achieved robust control of 3D cursor movement. The ECoG grid was explanted 28 days post-implantation with no adverse effect. This study demonstrates that ECoG signals recorded from the sensorimotor cortex can be used for real-time device control in paralyzed individuals

Optimal Cross Slice Orchestration for 5G Mobile Services

© 2018 IEEE. 5G mobile networks encompass the capabilities of hosting a variety of services such as mobile social networks, multimedia delivery, healthcare, transportation, and public safety. Therefore, the major challenge in designing the 5G networks is how to support different types of users and applications with different quality-of-service requirements under a single physical network infrastructure. Recently, network slicing has been introduced as a promising solution to address this challenge. Network slicing allows programmable network instances which match the service requirements by using network virtualization technologies. However, how to efficiently allocate resources across network slices has not been well studied in the literature. Therefore, in this paper, we first introduce a model for orchestrating network slices based on the service requirements and available resources. Then, we propose a Markov decision process framework to formulate and determine the optimal policy that manages cross-slice admission control and resource allocation for the 5G networks. Through simulation results, we show that the proposed solution is efficient not only in providing slice-as-a-service based on service requirements, but also in maximizing the provider's revenue

Cordycepin enhances cisplatin apoptotic effect through caspase/MAPK pathways in human head and neck tumor cells

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