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Word2vec is a neural network language model which can convert words and phrases into a high-quality distributed vector (called word embedding) with semantic word relationships, so it offers a unique perspective to the text classification and other natural language processing (NLP) tasks. In this paper, we propose to combine improved tfidf algorithm and word embedding as a way to represent documents...
With the ever shrinking dimension of a chip on a die, it is evident that the channels of on-chip networks (NoCs) are often exposed to logic level manufacturing faults such as stuck-at faults. The faults coercively put the networks into miscellaneous system level failures like packet corruption, misrouting, and dropping. Thus, the reliability has become a special interest. Additionally, the performance...
The growing complexity and diversity of vehicle systems makes it increasingly hard to identify and resolve the root cause of an unplanned maintenance session at hand in a dealer workshop. This especially holds for workshop staff with limited qualifications and experience. By today, the workshop staff is supported by expert-based systems, where knowledge was manually generated, i. e., by formalizing...
This work presents the results from a round robin study of molecular simulation programs. Widely used molecular codes including GROMACS, LAMMPS, NAMD, TINKER, DL_POLY, Towhee, and ms2 were applied to a set of simple molecular simulation tasks by independently acting experienced users. The basic question was: "If different people try to do the same thing with different programs, will they get...
Progress in utilizing high performance computing (HPC) establishes molecular dynamics (MD) as an appropriate tool to give further insight into the nature of evaporation dynamics.
Molecular dynamics simulation is a powerful tool for the investigation of nanoscopic processes that are hard or impossible to investigate by experiment in detail at the molecular level. The present work concerns tribological properties of model systems which are described by the Lennard-Jones truncatedshifted potential. Two related scenarios are studied: 1) Couette flow; 2) lubricated contact of two...
In Machine learning (ML) the model we use is increasingly important, and the model's parameters, the key point of the ML, are adjusted through iteratively processing a training dataset until convergence. Although data-parallel ML systems often engage a perfect error tolerance when synchronizing the model parameters for maximizing parallelism, the synchronization of model parameters may delay in completion,...
Idle periods on different processes of Message Passing applications are unavoidable. While the origin of idle periods on a single process is well understood as the effect of system and architectural random delays, yet it is unclear how these idle periods propagate from one process to another. It is important to understand idle period propagation in Message Passing applications as it allows application...
Are hybrid simulation models always beneficial? When should one modeling paradigm be used more than another? How does one know the right balance has been reached between different simulation techniques for the system under investigation? We illustrate selected insights into hybrid simulation through the use of a discrete event simulation (DES) model and a hybrid DES agent based model (ABM) of the...
Air conditioning in recent BEMS is now being highly automated, but providing true thermal comfort to building occupants and visitors is still challenging due to difficulty of sensing whole 3D space with limited number of sensors. In particular, thermal effect by crowd of people has not been considered so far in such automated air conditioning. This paper presents a method to accurately estimate the...
Detecting anomalous Border Gateway Protocol (BGP) traffic is significantly important in improving both security and robustness of the Internet. Existing solutions apply classic classifiers to make real-time decision based on the traffic features of present moment. However, due to the frequently happening burst and noise in dynamic Internet traffic, the decision based on short-term features is not...
The prosperous growth of the Internet-of-Things industry attracts numerous interests in employing edge clouds (a.k.a. cloudlets) to enhance the performance of mobile services and applications. Most existing research has been focused on offloading computational tasks from mobile devices to a single cloudlet or a central location, yet overlooked the issue of jointly coordinating the offloaded tasks...
Drug addiction amongst Afghan children is a major social menace. This paper proposes an innovative virtual learning environment that will offer a promising deterrent against drug abuse at schools. The system comprises of an intelligent tutoring layer and a story generator. The former offers a customized learning on drug addiction to children and the later engages them in a coherent story generation...
The visual comfort of human being has been gradually considered in high performance building since the higher living quality and lower energy use requirements. Good lighting layout is more and more important, especially in classroom for the students' vision. The number and location of light sources are traditionally determined by the experimented engineer or technician. However, un-precise results...
Separation and concentration of blood cells are vital steps in biological sample preparation for the design and operation of microfluidic biochips. There have been significant efforts toward developing approaches for effective separation and capture of blood cells in microfluidic devices recently. The present paper is aimed to evaluate separation and capture of micro-particles in passive microfluidic...
In this paper, we investigate the problem of finding argumentation graphs consistent with some observed statement labellings. We consider a general abstract framework, where the structure of arguments is left unspecified, and we focus on particular grounded argument labellings where arguments can be omitted. The specification of such grounded labellings, the Principle of Multiple Explanations and...
The finite element models are not very used in optimization because of their computation time, in spite of their precision. Model order reduction and matrix interpolation techniques can be applied to a finite element model to obtain a fast and precise model, which can be used in optimization. These techniques are used for the modeling and the optimization of the TEAM 22 workshop problem.
Computational models of argument are being developed to capture aspects of how persuasion is undertaken. Recent proposals suggest that in a persuasion dialogue between some agents, it is valuable for each agent to model how arguments are believed by the other agents. Beliefs in arguments can be captured by a joint belief distribution over the arguments and updated as the dialogue progresses. This...
In this study, U-model based control system design methodology is expanded into control of nonminimum-phase (NMP) dynamic systems. With U-model framework, a desired minimum-phase (MP) plant is established, which forms as a generic prototype. To achieve the same output response as the desired MP plant, the NMP zeros of plant are removed (NB not cancelled) by feedforward controllers, using the linear...
The Arts & Bots Math and Science Partnership program integrates creative technological fluency projects as transdisciplinary activities into non-technical courses, creating a pathway for students of all abilities and areas of interests to engage with engineering and computing. The Professional Development provided by the program prepares teachers from traditional disciplines, such as English,...
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