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Establishing a good model during the analysis and design phase in the process of software development, is the key for the correct implementation of system. UML (Unified Modeling Language, Unified Modeling Language) is the standard modeling language, graphically on the system analysis and design, Suitable for all stages of software life cycle. Combining vehicle administrative management system, flowing...
In this study, we suggest a hierarchical model to investigate the electrical performance of carbon nanotube (CNT)- based interconnects. From the density functional theory, we have obtained important physical parameters, which are used in TCAD simulators to obtain the RC netlists. We then use these RC netlists for the circuit-level simulations to optimize interconnect design in VLSI. Also, we have...
We have performed statistical atomistic simulations with tight-binding approach to investigate the effects of randomly distributed mono-vacancy defects in metallic single-walled carbon nanotube (SWCNT) interconnects. We also extracted defective resistances from the atomistic simulations and performed circuit- level simulations to compare the performance of interconnects with and without defects. We...
Distributed compressive sensing is a framework considering jointly sparsity within signal ensembles along with multiple measurement vectors (MMVs). The current theoretical bound of performance for MMVs, however, is derived to be the same with that for single MV (SMV) because the characteristics of signal ensembles are ignored. In this work, we introduce a new factor called "Euclidean distances...
Scaling is often carried out in modern RAID systems to meet the ever increasing demand of storage capacity and I/O performance. However, the scaling process of RAID-5 system is not trivial, due to its specific data/parity layout. Previous approaches of RAID-5 scaling require either migrating almost all data blocks in the system, or recalculating all or some of the parity blocks during scaling. This...
In video coding, quality evaluation is important for improving the coding efficiency. Usually Peak Signal-to-Noise Ratio (PSNR) is utilized to measure the performance of different coding techniques. During the video coding process in YCbCr color space, there are three PSNRs, one for each color component. Sometimes they may contradict to each other, which poses a problem for evaluating the coding performance...
Learning-based image super-resolution methods often use large datasets to learn texture features. When these methods are applied to depth images, emphasis should be given on learning the geometrical structures at object boundaries, since depth images do not have much texture information. In this paper, we develop a scheme to learn multiple residual dictionaries from only one external image. After...
In this work, we present Interaction+, a tool that enhances the interactive capability of existing web-based visualizations. Different from the toolkits for authoring interactions during the visualization construction, Interaction+ takes existing visualizations as input, analyzes the visual objects, and provides users with a suite of interactions to facilitate the visual exploration, including selection,...
Fingerprint recognition of network equipment is closely related to network security. Router equipment, as one of the critical device in network, is the key object of study on the recognition of network equipment. Due to the biggest market shares of Cisco routers, which dominate the data exchange of internet, it's significant to study the recognition of Cisco routers for safeguarding network security...
Against the problems existing in the collective running projects, such as not-reasonable-enough monitoring means, not-scientific-enough assessment tools, and so on, an overseeing and evaluating system of running training was designed and implemented based on the radio frequency identification(RFID), which has the advantages of high precision, comprehensive and real-time positioning. The system provides...
Popular social media platforms could rapidly propagate vital information over social networks among a significant number of people. In this work we present D-Map (Diffusion Map), a novel visualization method to support exploration and analysis of social behaviors during such information diffusion and propagation on typical social media through a map metaphor. In D-Map, users who participated in reposting...
The present study investigated the effects of syllable structure and prosodic strengthening on the consonant production in SHC, which has a three-way contrast among aspirated, unaspirated and breathy (voiced) stops. Obviously they had different mechanisms, as glottal coda shortened the VOT while focus lengthened the VOT of aspirated and breathy stops, but they both increased the intensity. While the...
Vowels are thought to play an important role in sub-dialect identification. How they vary among sub-dialects in tonal language has never been examined yet. Acoustic correlates of vowels from three sub-dialects, such as vowel patterns, formant values, formant trajectories, vowel inherent spectral change (VISC), and HNR, were investigated in the present study. The results of this acoustic study confirmed...
Vowel inherent spectral change (VISC) has been proved to have special properties for American regional dialect identification. How it varies among sub-dialects in tonal language has never been examined yet. VISC in Chinese were investigated in the present study to see whether tonal variation among regional dialects will cease the role of VISC as a regional dialect indicator. The results of this acoustic...
Ever since the discovery of graphene, the 2D carbon structure material has been attracting a lot interest due its electrical, thermal and mechanical properties. Here, we investigate the carbon nanotubes (CNT), wrapping a 2D graphene sheet to form a 1D carbon structure. CNT has a Dirac-cone energy band, which makes it either a semiconductor or metal. With continuous aggressive scaling, the technology...
This paper proposes a novel multi-dimensional morphology descriptor, tensor morphology profile (TMP), for hyperspectral image classification. TMP is a general framework to extract the multi-dimensional structures in high-dimensional data. The nth-order morphology profile is proposed to work with the nth-order tensor, which can capture the inner high order structures. This is different with the traditional...
With the rapid development of mobile Internet, the number of mobile applications has increased rapidly. How to protect the copyright of mobile applications is one of the most critical issues in nowadays. Software control flow obfuscation is a wildly used technique to protect the copyright of the software. In this paper, we proposed a control flow obfuscation method for Android applications. The proposed...
Industrial control system(ICS) is floorboard of control system in industrial production. With the transformation and upgrading of ICS, more IT technologies are used in it. The security problem has been paid more and more attention in recent years. In this paper, we proposed a fuzz test based method to detect the malware in the industrial control systems. In the proposed method, we use the configuration...
Underfill process is an essential step in chip packaging due to its significant impact on the reliability of electronic devices. The investigations of its flow characteristics are important for optimizing the filling process. There exist several analytical models wildly used to predict the underfill flow driven by capillary forces in chip packaging but cannot match the experimental values well. In...
Underfill encapsulant is important for improving chip device reliability. Gap height is a decisive factor to accelerate the filling speed which directly improves packaging efficiency. In this paper, the effect of gap height on non- Newtonian underfill flow is studied numerically and experimentally. Especially, 2D and 3D finite volume method (FVM) numerical models are used to explore the functional...
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