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With the increasing number of IoT (Internet of Things) devices and advance of smart home technology, we propose an innovative bandwidth allocation framework for IoT enabled smart homes. The application scope of this research assumes a scenario that an ISP (Internet Service Provider) should support thousands of IoT enabled smart homes for a variety of services. Each smart home is equipped with tens...
We propose an total variation (TV) regularization approach for the reconstruction of super-resolution synthetic aperture radar (SAR) image based on gradient profile prior. Then we design a super-resolution reconstruction algorithm via split Bregman iteration with the known degradation matrix. The evaluation index is tested on SAR images for objective assessment of the performance of SAR image super-resolution...
To improve comprehensive utilization of the electric heating equipment and profits of their operation, this paper mainly studies hybrid heating system. Aiming at the minimum investment recovery period and the maximum income of the heating system, this paper builds multiple target model by analyzing the main equipment cost, previous labor cost, operating labor cost and operating energy consumption...
This paper reveals the correlations between discourse structure and acoustic parameters and presents a method of manipulating discourse prosody in relation to discourse structure to improve the naturalness of synthesis speech. The text material included 1229 passages. The texts were annotated using Rhetorical Structure Theory. Prosody measurements were extracted from the corresponding speech annotation...
Recent years people have witnessed a surge of interest in APT attack, due to its complexity and persistent attack characteristics. In this paper, we give an overview of APT attack and attack graph and also use attack graph to assist in predicting the APT attacks and identifying the most vulnerable resources. In order to prevent APT attacks, this article improves the attribute attack graph by depending...
With the progressive development of information and communication technologies, we are now forming a new world called hyperworld that is composed by the cyber world and the physical world with various digital explosions including data, connectivity, service and intelligence. Therefore, Cyber-I has been proposed, which is a real individual's counterpart in cyberspace, and is to create a unique, digital,...
This work achieves a two-and-a-half-dimensional (2.5D) wafer-level radio frequency (RF) energy harvesting rectenna module with a compact size and high power conversion efficiency (PCE) that integrates a 2.45 GHz antenna in an integrated passive device (IPD) and a rectifier in a tsmcTM 0.18 μm CMOS process. The proposed rectifier provides a master-slave voltage doubling full-wave topology which can...
Addressing the problem of information overload, automatic multi-document summarization (MDS) has been widely utilized in the various real-world applications. Most of existing approaches adopt term-based representation for documents which limit the performance of MDS systems. In this paper, we proposed a novel unsupervised pattern-enhanced topic model (PETMSum) for the MDS task. PETMSum combining pattern...
To achieve the goal of industry 4.0 for steel industry, intelligent automated manufacturing becomes increasingly important. One of the key steps on the automatic production line of steel products is automatic inspection of surface detects. In this paper, we consider the problem of stitching continuous casting steel billet images captured from billet production line. It has been shown that integrated...
Performance variation is a significant problem forlarge scale HPC systems and will increase on future exascalesystems. In this work, we show that performance variationimpacts the performance and energy efficiency of contemporarylarge-scale computing systems in highly temporally inconsistentways. We thus present a case for criticality models, a learningbased mechanism that allows a system to generate...
The work is a preliminary study of autonomous underwater vehicle (AUV) localization using ocean acoustic tomography (OAT) sensor nodes. OAT is a method to measure the current velocity and temperature fields using the time-of-flight of acoustic signals. These acoustic sensor nodes broadcast signals periodically in the area of interest. Each ocean tomography sensor node consists of a surface buoy, an...
With development of wireless communication technologies, mobile devices are commonly equipped with multiple network interfaces and ready to adopt emerging transport layer protocols such as multipath TCP (MPTCP). The protocol is specifically useful for Internet of Things streaming applications with critical latency and bandwidth demands. To achieve full potential of MPTCP, major challenges on congestion...
the field of computer security faces numerous vulnerabilities which cause network resources to become unavailable and violate systems confidentiality and integrity. Malicious software (Malware) has become one of the most serious security threats on the Internet. Malware is a widespread problem and despite the common use of anti-virus software, the diversity of malware is still increasing. A major...
On-chip data movement is a major source of power consumption in modern processors, and future technology nodes will exacerbate this problem. Properly understanding the power that applications expend moving data is vital for inventing mitigation strategies. Previous studies combined data movement energy, which is required to move information across the chip, with data access energy, which is used to...
This paper precented a phase-locked loop frequency synthesizer with almost constant loop bandwidth. In order to reduce the loop bandwidth variations caused by the LC-VCO gain, a calibration system is introduced, which sets the charge-pump current to be inversely proportional to the square of the divider ratio. The frequency synthesizer with this technique was fabricated in 0.13μm CMOS process. The...
We propose a rate-distortion based deep neural network (DNN) training algorithm using a smooth matrix functional on the manifold of positive semi-definite matrices as the non-parametric entropy estimator. The objective in the optimization function includes not only the measure of performance of the output layer but also the measure of information distortion between consecutive layers in order to produce...
This position paper posits the use of an individual's affective response to musical cues as a means of designing an implicit communication channel between the user and their immediate computing infrastructure in the form of an intelligent environment. Interaction design for a sensor-rich intelligent environment is a challenging problem, often arising from the dynamic nature of such pervasive systems...
Device-free passive localization aims at locating moving objects that do not carry any localization devices. The rationale of this problem is based on the fact that a moving object can result in changes of received signal strength (RSS) of the wireless links. Existing studies only consider localization of a single-target localization or a multi-target group moving together, equivalent to a single-target...
In this paper, a TRIAC dimmable controller for quasi-resonant flyback LED driver is realized. Nowadays, many countries take effort to save energy. Because lighting system takes part of approximately 20% of world energy consumption, by replacing the traditional incandescent bulbs with light-emitting-diode (LEDs), electrical energy can be saved significantly. TRIAC dimmer is commonly used for traditional...
The majority of computational work on emotion in music concentrates on developing machine learning methodologies to build new, more accurate prediction systems, and usually relies on generic acoustic features. Relatively less effort has been put to the development and analysis of features that are particularly suited for the task. The contribution of this paper is twofold. First, the paper proposes...
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