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Similarity search is an essential operation in many applications. Given a collection of set records and a query, the exact set similarity search aims at finding all the records that are similar to the query from the collection. Existing methods adopt a filter-and-verify framework, which make use of inverted indexes. However, as the complexity of verification is rather low for setbased similarity metrics,...
In recent years, with the development of high-throughput technologies and the increase of omics data, molecular diagnostics and the analysis of patients' exact causative genes become possible. However, massive data also challenges traditional methods. GWAS(Genome-Wide Association Study) traditional methods are usually used for causative gene discovery of single-gene disorders. But because they needs...
Big data-based medical decision support system plays an important role in the healthcare field. This paper proposes a medical big data web service management platform that mainly includes data sharing platform and related medical big data web service modes.
The coarse-grained reconfigurable architecture (CGRA) is a promising platform for mobile computing. In this work, based on the battery nonlinear effects, we propose a method to achieve co-optimization of task partition and multi-cell battery scheduling with dynamical voltage scaling (DVS) for CGRA computing platform. Experimental results show that average 33.6% improvement in battery runtime over...
Chinese hacker communities are of interest to cybersecurity researchers and investigators. When examining Chinese hacker communities, researchers and investigators face many challenges, including understanding the Chinese language, detecting variations in topic evolution, and identifying key hackers with their specialty areas. Therefore, we are motivated to develop a framework for analyzing key hackers...
With the rapid growth of online population, China has become the world's largest online market. This also gives rise to the Chinese underground market, which has facilitated many of the cybercrimes in China. Consequently, there is a need for research scrutinizing Chinese underground markets. One major challenge facing cybersecurity researchers is to understand the unfamiliar cybercriminal jargons...
This paper mainly studies an intelligent test paper generation method based on genetic particle swarm optimization. Firstly, this paper introduces the index system and the constraint condition of the intelligent test paper generation. Moreover, this paper proposes the intelligent test paper generation method that combines an improved adaptive genetic algorithm with particle swarm optimization. In...
Health related Question Answering (QA) systems have proven to be useful to patients. However, most of the QA systems focus on improving system performance against a standard set of questions, but neglect the problem of designing effective user interfaces. We build a health QA with enhanced user interface which includes three formats – single answer, list of fragments and combination of fragments....
As cloud computing is widely used in various fields, more and more individuals and organizations are considering outsourcing data to the public cloud. However, the security of the cloud data has become the most prominent concern of many customers, especially those who possess a large volume of valuable and sensitive data. Although some technologies like Homomorphic Encryption were proposed to solve...
Fasting blood glucose (FBG) is an important indicator for human's health. Prediction for FBG is meaningful for finding and healing diseases, especially for diabetes mellitus. Based on four years' historical medical examination data, a prediction model of coming year's FBG is presented using traditional data mining techniques with a novel algorithm to estimate the FBG change probability and a proposed...
Marine datasets are usually large and grow rapidly, in which large amount of factors are involved in, and there are many complex interactions existed among these factors. Thus, general statistical analysis is too inefficient to be used to systematically deal with marine big data. Then a systematic analysis of framework for marine big data based on association rules mining and complex network theory...
Based on the study of linguistics, Information Science and Library and Information Science, we research on the real-time news posted on the authority sites in the world's major countries. By analyzing the massive news of different information sources and language origins, we come up with a basic theory model and its algorithm on news, which is capable of intelligent collection, quick access, deduplication,...
With the development of cloud computing and IoT, more and more data-intensive applications have come into being. It is very import to process the big data for these data-intensive applications. In this paper, we do some analysis about the basic concepts of big data and semantic++ computing. It includes the definition of big data, semantic computing and semantic++ computing. In this paper, we make...
This paper proposes a mobile smart health service platform - Fihuo based on the analysis of big data. Fihuo can present the long-term health-related data and ambient data to users, which are collected through wearable devices, smartphone applications and background big data processing mechanism. Fihuo can analyze and compare the health-related data, moreover provide the on-line browsing and monitoring...
This paper explores what normal web requests look like in the Linux kernel network stack's perspective, summarizes the available hardware and software optimization techniques, and then presents a method of improving web server applications' performance and scalability by introducing the Receive CPU Selection framework. This framework bridges the information gap between network stack layers and makes...
Although standards and tools of model transformation have gradually improved in recent years, a theoretical system about model transformation from the integrity perspective has not been put forward, which is important for building the model transformation process strategy and determining the feasibility and reversibility of a model transformation. This paper presents a model transform theory framework...
Small cells deployed over the existing macrocell network reduce the access distance and thus offer an energy-efficient solution to provide high data rate coverage. However, dense deployment of small cells may cause energy waste under low load conditions. To cope with this issue, power saving techniques for small cell networks need to be carefully investigated. Invoking a sleep mode is one of the most...
Tourism has become the world's largest economy industry. More and more people share their travelogues on travel websites. Recommender system is an effective tool to provide travel services (e.g., Landscapes selection) for tourists. Many recommender systems are based on travel data that are supplied by travel agencies, and provide travel packages from a fixed package set, which bring two challenges...
Influence maximization modeling and analyzing is an important problem in Online Social Networks (OSNs). Influential nodes provide information on hot topics and forward interesting information, which can yield great influence on other nodes in OSNs. For word-of-mouth viral marketing, it is critical to find influential nodes within budgets. However, finding the optimal solution to maximize the influence...
The aircraft cabin wireless network recently attracts more attentions from academia and industry. In this paper, we investigate the channel capacity in the cabin distributed multiple-input multiple-output (D-MIMO) system on the basis of measurement data collected in an MD-82 aircraft. The channel measurements are conducted at 2.4 GHz and 3.52 GHz by using a wideband MIMO channel sounder. Two different...
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