One of the most important topics in Human-Centered Computing (HCC) is to recognise human's activities. In this paper, the technology of wireless-based activity recognition is introduced. By using wireless signals,...
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ISBN:
(纸本)9781509006212
One of the most important topics in Human-Centered Computing (HCC) is to recognise human's activities. In this paper, the technology of wireless-based activity recognition is introduced. By using wireless signals, one can achieve Non-Line-Of-Sight (NLOS) recognition without carrying any devices. Also, it is easy to deploy a wireless-based recognition system due to the ubiquity of wireless communication systems. The basic idea is to detect different characteristics of signal propagation that correspond to the distinct human behaviors. As a result, action recognition is performed by analyzing the distinguishable features of signal propagation. This paper introduces the basic principles and applications of wireless-based activity recognition, and discusses the challenges and related performance metrics. Finally, open problems are discussed to point out the future research trends.
Public auditing is a new technique to protect the integrity of outsourced data in the remote cloud. Users delegate the ability of auditing to a third party auditor (TPA), and assume that each result from the TPA is co...
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—Human-machine systems required a deep understanding of human behaviors. Most existing research on action recognition has focused on discriminating between different actions, however, the quality of executing an acti...
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The internal single-event transient(SET) induced upset in flip-flops is becoming significant with the increase of the operating frequency. However, the conventional soft error rate(SER) evaluation approach could only ...
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The internal single-event transient(SET) induced upset in flip-flops is becoming significant with the increase of the operating frequency. However, the conventional soft error rate(SER) evaluation approach could only produce an approximate upset prediction result caused by the internal SET. In this paper, we propose an improved SER evaluation approach based on Monte Carlo simulation. A novel SET-based upset model is implemented in the proposed evaluation approach to accurately predict upsets caused by the internal SET. A test chip was fabricated in a commercial 65 nm bulk process to validate the accuracy of the improved SER evaluation approach. The predicted single-event upset cross-sections are consistent with the experimental data.
MIMO system is widely studied for its high performance in wireless communication, of which the THP algorithm is a bottleneck of performance. Generally the THP is implemented in ASIC for high performance, which unfortu...
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ISBN:
(纸本)9781467388399
MIMO system is widely studied for its high performance in wireless communication, of which the THP algorithm is a bottleneck of performance. Generally the THP is implemented in ASIC for high performance, which unfortunately makes it a difficulty for system updating. Compared to the ASIC solution, configurable processing, as its inherent flexibility and extension, becomes a promising solution for this difficulty, especially in the case of FPGA based systems where multi-core method is utilized to make up for the performance deficiency of soft cores. This paper explores a micro blaze based-multi-core system to increase the performance of THP algorithm while keeping the system flexibility. In support of the flexibility to update the algorithm, the effective adaption of this approach is demonstrated. Moreover, optimized application specific hardware is combined with data-level paralleled software modules in the multi-core embedded system, which increases the performance of THP algorithm to a 6× speed over all-soft single-core solution.
Groupwise analytics on big data have been widely used in statistics, computer science, parallel computing and many other fields in recent years. At The same time, Aggregation queries is one of the most important analy...
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ISBN:
(纸本)9781509055227
Groupwise analytics on big data have been widely used in statistics, computer science, parallel computing and many other fields in recent years. At The same time, Aggregation queries is one of the most important analytics techniques. In big data eras, the aggregation queries on the ever-increasing data volumes will consumes much time, the traditional methods of traversing the entire dataset is not acceptable to users. Data sampling is a technique that only process a part of data to get an approximate result, the technique can save a lot of time when dealing with a vast amount of data with the sacrifice of accuracy. This paper will introduce several data sampling algorithms for approximate aggregation queries for big data, and analyze the shortcomings and advantages of each methods. Including the technique apply to the sparse data which meaning data has a limited population but a wide range.
Virtual Machine(VM) allocation for multiple tenants is an important and challenging problem to provide efficient infrastructure services in cloud data centers. Tenants run applications on their allocated VMs, and th...
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Virtual Machine(VM) allocation for multiple tenants is an important and challenging problem to provide efficient infrastructure services in cloud data centers. Tenants run applications on their allocated VMs, and the network distance between a tenant's VMs may considerably impact the tenant's Quality of Service(Qo S). In this study, we define and formulate the multi-tenant VM allocation problem in cloud data centers, considering the VM requirements of different tenants, and introducing the allocation goal of minimizing the sum of the VMs' network diameters of all tenants. Then, we propose a Layered Progressive resource allocation algorithm for multi-tenant cloud data centers based on the Multiple Knapsack Problem(LP-MKP). The LP-MKP algorithm uses a multi-stage layered progressive method for multi-tenant VM allocation and efficiently handles unprocessed tenants at each stage. This reduces resource fragmentation in cloud data centers, decreases the differences in the Qo S among tenants, and improves tenants' overall Qo S in cloud data centers. We perform experiments to evaluate the LP-MKP algorithm and demonstrate that it can provide significant gains over other allocation algorithms.
A radiation hardening algorithm named as state-conservation on 2nd order clock and data recovery (CDR) system is presented in this paper. This proposed algorithm is used to resist the single event transient (SET) of C...
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With the development of maritime information technology and computer technology, wireless communication technology in underwater networks and systems has made great progress and achieved wide range of application, whi...
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ISBN:
(纸本)9781509055227
With the development of maritime information technology and computer technology, wireless communication technology in underwater networks and systems has made great progress and achieved wide range of application, which greatly promoted the development of ocean communication. Due to the presence of severe frequency selective fading, fast fading and slow fading, including all kinds of Noise interference and ISI problem under multipath propagation, especially ISI. In the meantime, in order to improve efficiency in underwater communications, a kind of signal detection algorithm is proposed in the case of interference in this article to deal with this problems-Maximum likelihood detection, this algorithm has a good complexity and relatively a high degree of precision in MIMO-OFDM system. So we do a circuit design based on the ML algorithm. The test result shows that this kind of circuit meets the requirements successfully.
FinFET technologies are becoming the mainstream process as technology scales down. Based on a 28-nm bulk p- FinFET device, we have investigated the fin width and height dependence of bipolar amplification for heavy-io...
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FinFET technologies are becoming the mainstream process as technology scales down. Based on a 28-nm bulk p- FinFET device, we have investigated the fin width and height dependence of bipolar amplification for heavy-ion-irradiated FinFETs by 3D TCAD numerical simulation. Simulation results show that due to a well bipolar conduction mechanism rather than a channel (fin) conduction path, the transistors with narrower fins exhibit a diminished bipolar amplification effect, while the fin height presents a trivial effect on the bipolar amplification and charge collection. The results also indicate that the single event transient (SET) pulse width can be mitigated about 35% at least by optimizing the ratio of fin width and height, which can provide guidance for radiation-hardened applications in bulk FinFET technology.
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