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Empirical research in software engineering collects and studies the quantitative/qualitative data in order to understand and improve the software product, software development process and software management. The empirical research methods are classified into controlled experiment, case study and survey, and the process of empirical study can be divided into experimental/case study setting, data collection,...
The significant increase in the ubiquity and connectivity of computing devices has opened new possibilities for addressing social and environmental challenges, e.g., ambient assisted living, smart city infrastructures, emergency coordination, environmental monitoring. Engineering such systems commonly called smart Cyber-Physical Systems (sCPS) is typically very challenging because of their inherent...
With the development of cloud services, outsourcing computation tasks to a commercial cloud server has drawn attentions by various communities, especially in the Big Data age. Public verifiability offers a flexible functionality in real circumstance where the cloud service provider (CSP) may be untrusted or some malicious users may slander the CSP on purpose. However, sometimes the computational result...
Cloud computing is an emerging business computing model whose basic idea is to transmit all kinds of resources through the Internet such as storage resources, computing resources, bandwidth and so forth. So users do not need to purchase a large of computing systems to manage their business, on the contrary they only need to purchase the resources according to their needs in order to reduce the cost...
This paper proposes a novel scheme for RFID anti-counterfeiting by applying bisectional multivariate quadratic equations (BMQE) system into an RF tag data encryption. In the key generation process, arbitrarily choose two matrix sets (denoted as A and B) and a base Rab such that [AB] = λRABT, and generate 2n BMQ polynomials (denoted as p) over finite field Fq. Therefore, (Fq, p) is taken as a public...
A new method is proposed to identify the damages of locations based on two Jerk Energy (JE) methods. Proposed for test with random excitation, firstly a reduced analytical model is derived from active vibration. Then, the experimental model is implemented based on output of sensor data under stationary and random excitations are developed by using the controller MSP432. To verify the analytical model...
Current communication systems restrict user affordances in terms of expressiveness and interaction. Complex Event Processing (CEP) have gained much importance to overcome these shortcomings. It allows users to interact with powerful expressiveness when defining logical and temporal patterns of exchanged events. This expressiveness allows cleaning network traffic by eliminating the routing of useless...
Modern predictive modeling techniques are commonly used for modeling a target of interest based on a list of input variables. In general, these techniques are capable of identifying input variables associated with the target, but not for the purpose of identifying the causation relationship between target and inputs due to the fact that the data are observational data. Advanced technology has made...
Semantic extraction based on key words is essential method to find relationships of entities. Enterprise relations analysis is becoming more and more popular in financial field, because it gives explanation on business processes and decision-making reference on investments. Most of previous studies focused on the analysis of specific situations and built relations on targeted enterprises. Hence, there...
Dimension reduction of data is an important issue in the data processing and iti is needed for the analysis of higher dimensional data in the application domain. Rough set is fundamental and useful to reduce higher dimensional data to lower one. Reduct in the rough set is a minimal subset of features, which has the same discernible power as the entire features in the higher dimensional scheme. The...
There are two types of data in semi-supervised learning: feature vector with the corresponding label and feature vector without label, where labeled data processing has been well studied in supervised learning. In this paper, we derive the LogSumExp function for unlabeled data processing. This derivation establishes a unified view of labeled data processing and unlabeled data processing in semi-supervised...
The customer review is important to improve service for company, which have both close opinion and open opinion. The open opinion means the comment as text which shows emotion and comment directly from customer. However, the company has many contents or group to evaluation themselves by rating and total rating for a type of services which there are many customer who needs to review. The problem is...
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