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Account sharing is a significant problem for online recommender systems to generate accurate personalized recommendations. To solve this problem, one not only has to identify whether an account is shared, but also needs to recognize the different users sharing that account. However, to generate relevant, personalized recommendations, the particular user under a shared account has to be correctly identified...
In order to facilitate better estimations on coronary artery disease conditions of a patient, we aim to predict the number of Angioplasty (a coronary artery procedure) by taking into account all the information from his/her Electronic Health Record (EHR) data. For this purpose, two exponential family members—multinomial distribution and Poisson distribution models—are considered, which treat the target...
We consider the problem of predicting three procedures, viz, EKG, Angioplasty and Valve Replacement procedures jointly from Electronic Health Records (EHR) and develop a discriminative boosted Bayesian network algorithm. Differences between our proposed approach and standard Bayes Net structure learners are (1) we do not assume that the number of features (observations) are uniform across training...
This paper presents a 77GHz, 16dBm, 13% PAE power amplifier. It is simulated in a 0.13um silicon-germanium technology with fT of 200GHz. The design technique is not the same as those which are used in traditional power amplifiers. All the matching structures are composed of short or open stubs and MIM capacitors. To get a higher output saturation power, breakdown voltage is also considered in bias...
Fault tolerance is one of the major design goals for HPC. The emergence of non-volatile memories (NVM) provides a solution to build fault tolerant HPC. Data in NVM-based main memory are not lost when the system crashes because of the non-volatility nature of NVM. However, because of volatile caches, data must be logged and explicitly flushed from caches into NVM to ensure consistence and correctness...
Despite of the popularity of activity-based travel behavior analysis, there is few studies taking the other peoples' travel behavior from neighboring household into model specification, and the effects of the socio-demographic and environmental determinants on different members in the same household are ignored. Using the data from 2013 Nanjing Resident Travel Survey, this paper applied the spatial...
As one of the most influential and changeable factors, temperature has always been an important research object. Since temperature is affected by many factors, all of them contribute in the formation of the temperature curve. We can obtain the regular pattern of influence factors by decomposing temperature data. In this paper, a new method is proposed, which is named average-type multiple sine-related...
In this work, we propose Residual Attention Network, a convolutional neural network using attention mechanism which can incorporate with state-of-art feed forward network architecture in an end-to-end training fashion. Our Residual Attention Network is built by stacking Attention Modules which generate attention-aware features. The attention-aware features from different modules change adaptively...
Face alignment is a critical topic in the computer vision community. Numerous efforts have been made and various benchmark datasets have been released in recent decades. However, two significant issues remain in recent datasets, e.g., Intra-Dataset Variation and Inter-Dataset Variation. Inter-Dataset Variation refers to bias on expression, head pose, etc. inside one certain dataset, while Intra-Dataset...
Over the past 100 years, especially in the recent 20 years, the global average surface temperature has increased significantly, and global warming has become an important issue of global concern. In this paper, multiple sine functions decomposition (MSFD) method is presented to forecast the colder-winter years of Guangzhou. MSFD method is an effective forecasting method, which has been applied to...
In the past decade, with the rapid development of wireless communication and sensor technology, ubiquitous smartphones equipped with increasingly rich sensors have more powerful computing and sensing abilities. Thus, mobile crowdsensing has received extensive attentions from both industry and academia. Recently, plenty of mobile crowdsensing applications come forth, such as indoor positioning, environment...
Spectroscopy is an important component analysis method and full spectrum prediction method may be complicated and inaccurate. In order to find out the irrelevant variables, a variable selection method based on the frequent pattern tree(FP-tree) is proposed in this paper. The proposed method firstly formulates an orthogonal array to generate wavelength selection plans, which makes the wavelength selection...
AdaBoost is a classic ensemble learning algorithm with good classifier performance. In the past, it mainly used weak classifier as base classifier, such as KNN. They are simple and easy to train, but the essence of the weak classifier, it is impossible to get very high classification accuracy. In order to improve the correct rate, this paper introduces the AdaBoost ensemble classifier based on convolutional...
A momentous social event prediction attempt is presented in this work. Addition-subtraction frequency (ASF) algorithm with three inputs is investigated and employed to predict a possible date of the event. The important date data which this paper uses are the dates of United States' president death in office (USPDIO) in the past. In order to find a consistent prediction result, three forms of USPDIO...
This paper proposes a novel transmission technique for Inter-Cell Interference Cancelation (ICIC) in cellular networks. The new technique utilizes the Conjugate Gradient Method (CGM) for calculating the optimal weight vector for the transmitting antenna array system operating at a base station. The weight vector provides a maximum gain along the direction of a target mobile device and deep nulls to...
Crowdsensing has become increasingly popular due to its ability to collect a massive amount of real-time data with the help of many individual smartphone users. A crowdsensing platform can utilize the collected data to extract effective information and provide services to service requesters. Due to the rationality of smartphone users, designing an incentive mechanism to compensate the participants...
Online advertising has become a tremendous business, and continues to grow rapidly. There are mainly two ways to distribute ads in online advertising: contracts and auctions. Previous researches usually focus on ad allocation through either contracts or auctions, while the problem of allocating ads simultaneously through both methods has not been carefully addressed. Jointly considering these two...
To support automatic document exchange, one essential issue is to maintain the consistency of semantic interpretation of the exchanged documents between any two autonomous communities, where the document sender and receiver have no misunderstanding in using the exchanged documents. However, different document systems often lead to heterogeneous documents in terms of syntax and semantics, which are...
Active attacks threat the security of communication dramatically. In this paper, we propose a secure transmission scheme based on random orthogonal pilots to detect the presence of active eavesdropping attacks on channel estimation in time-division-duplex (TDD) systems. The scheme only needs to replace some regular pilot sequences with random orthogonal pilot sequences occasionally without any prior...
Multi-robot systems (MRS) working in open and dynamic environments are expected to deal with uncertain arrival of new tasks and environment changes, by repeatedly adapting the current task allocation and schedule, in order to maintain its performance (e.g., total utility, balance, etc.). This paper presents an adaptive approach to multi-robot task allocation (MRTA), which combines two adaptive measures...
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