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To better realize the project based learning, student research training projects (SRTP) are implemented into a engineering introductory seminar course. Our two years' teaching experience on two classes with and without the project showed that embedding a real SRTP project could be more benificial than a traditional course project. The real project enhanced effectively the students' motivation and...
In the wake of growing explosion of data and variable data format, collaborative filtering algorithm as a technology of E-commerce recommendation system cannot satisfy the requirement. Taking this as a starting point, this paper proposes a collaborative filtering algorithm based on MapReduce by using the MapReduce technology to realize the parallel filtering algorithm. In this algorithm, the data...
K-means is a widely used method for the process of vector quantization in image retrieval, and its results will directly affect the subsequent retrieval quality. Although k-means is popular in image retrieval, it has some obvious disadvantages, such as randomness and sensitivity to outliers. This paper presents a new model, namely Multiple Cartesian K-medoids, to replace k-means for quantization and...
In this paper we develop an optimization model for investigating the community electricity system behavior and policy implications of the usage of different energy facilities under the goal of reducing cost. There are four energy sources in this model: combined heat and power (CHP), wind turbine, electrical grid and electricity storage. When considering the dynamic demand requirements and energy price,...
Cloud computing is getting more prevalent and finding a way to reduce the cost of cloud computing platform through the migration of virtual machines (VM) is a concerned issue. In this paper, the problem of dynamic migration of VMs (DM-VM) in the cloud computing platform (or simply the cloud) is investigated. A triple-objective optimization model for DM-VM is established, which takes energy consumption,...
In this research, we consider the deficiencies of current e-collaboration design systems that are introduced to enterprises, and then concentrate on how to express the essential requirements for product design. The authors propose a systematic process model to support collaborative product development (CPD). The required multi-disciplinary information for CPD will be handled via the processes of classification,...
A practical relative position estimation method for stereo images with large rotation angles is proposed in this paper. Firstly, the essential matrix of stereo images is established and each element of the matrix is solved linearly. Then the essential matrix is optimized by rank defect constraint where singular value decomposition is used, and initial values of the relative orientation elements are...
With the increase of the number of college graduates, the country needs to do much in promoting their employment. Meanwhile as the rapid development of Internet lead to explosive growth of information, the real value needs to be effectively and immediately selected to benefit both employers and employees. This paper aims to propose two content based algorithms, one starting with cold boot and the...
Animals and robots alike face challenges of flipping-over as they move in complex terrain. Small insects like cockroaches can rapidly right themselves when upside down, yet small fast-running legged robots are much less capable of ground-based self-righting. Inspired by the discoid cockroach that opens its wings to push against the ground to self-right, we designed actuated wings for robot self-righting...
As the 3D stacking technology still faces several challenges, the 2.5D stacking technology gains better application prospects nowadays. With the silicon interposer, the 2.5D stacking can improve the bandwidth and capacity of the memory system. To satisfy the communication requirements of the integrated memory system, the free routing resources in the interposer should be explored to implement an additional...
To achieve high throughput, core count in compute accelerators such as General-Purpose Graphics Processing Units (GPGPUs) increases continuously. The communication demand of these cores boosts the demand for a low-latency packet switched network. As packet latency is mainly composed of per-hop latency, contention latency and serialization latency, a favorable Network-on-Chip (NoC) design should efficiently...
With the development of Internet technology, online job-hunting plays an increasingly important role in job-searching. It is difficult for job hunters to solely rely on keywords retrieving to find positions which meet their needs. To solve this issue, we adopted item-based collaborative filtering algorithm for job recommendations. In this paper, we optimized the algorithm by combining position descriptions...
Recommendation system has been placed much emphasis by researchers and programmers to deal with the information overload. Collaborative filtering algorithm is the most commonly used one. In order to enhance its performance, the Matrix Factorization was discovered to base the collaborative filtering. This paper elaborates on the collaborative filtering algorithm based on Matrix Factorization and gives...
According to the visual characteristics of the human eye perception, a no-reference(NR) stereoscopic image quality assessment(SIQA) method is proposed based on contourlet transform, which considered from the quality of the viewpoint images and the depth perception. Firstly, the subband energy of the left and right viewpoint images is extracted as viewpoints feature by contourlet decomposition. Then,...
In the wake of online meal ordering, healthy and nutritionally balanced combos also have been the focus of the attention. At present, some well-made diets attend to be specific to the patients, children or expectant mothers. Some which sacrifices the quality taste for the pure nutrient balance may have little feasibility. This paper, based on the analyses of the users' demands by means of all functional...
With the advent of the Internet of things (IoT) and smart sensor technologies, the data-driven paradigm has been found promising to support human behavioral analysis in a smart home for better healthcare and well-being of senior adults. This work focuses on discovering daily activity routines from sensor data collected in a smart home. By representing the sensor data as a matrix, daily activity routines...
This paper is an initial study of device-free human detection using channel state information (CSI) in WiFi networks. After collecting the CSI data in the target area, the proposed detector contains three steps, preprocess, feature extraction, and making decisions (human presence or absence). Experiments, based on real CSI measurements, proof the concept of human detection. Results show that, using...
This paper presents the design method using topology optimization and the fabricating feasibility using Fused Deposition Modeling (FDM) 3D printing technique for Functionally Graded Material (FGM) insulator. The concepts of FGM and topology optimization are primarily introduced. And a topology optimization approach based on COMSOL Multiphisics is proposed. The optimization objective is to uniform...
With the explosion of Internet information, recommender system plays an increasingly important position in online video searching. Collaborative filtering technique the most popular recommendation algorithm is inefficient in cold-start scenario. In this paper, we focus on new movie cold start problem and aim to bridge the gap between movie labels and movie similarity. A useful approach is proposed...
In order to improve the efficiency of abnormal event detection for Internet of Things, this paper proposes an abnormal event detection scheme based on compressed sensing. Due to the low energy consumption target constraints, the cluster-head often has no ability to collect all the data of the terminal nodes. Therefore, a sparse model of terminal nodes is proposed, which is applied to the WSNs scenario...
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