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Broadcast Searchable Keywords Encryption (BSKE) is a novel scheme that allows searching in encrypted data without knowing a secret key. Consider Bob wants to encrypt the same data under master public key for a group of users and stores this encrypted data with Alice, Malice is one of those recipients he asks Alice using his private key whether or not she has stored encrypted data, then Alice will...
Finding good key phrases for a document is beneficial for many applications, such as text summarization, browsing, and indexing. In this paper, we propose a sequential pattern mining based document-specific key phrase extraction method. Our key innovation is to use wildcards (or gap constraints) to help extract sequential patterns, where the flexible wildcard constraints within a pattern can capture...
This work proposes an approach using the lowcost Kinect sensor as an assisting device that not only uses a contactless device to capture images information but cooperates with the application of developing field goal shooting posture detection algorithms for basketball players. The algorithms classify the field goal shooting postures of players into three stages as pre-shot, mid-shot, and post-shot...
Problem-based learning (PBL) is a way to learn what is needed to solve a problem, how can a solution be obtained quickly, precisely and professionally. To achieve the goal of problem-based learning, problem design and assign same level of problems among the students are important in engineering classroom environment. SQL is a major part in Database course. In problem based e-Learning of SQL, it is...
Data generation, handling and its processing have emerged as the most reliable source of understanding and discovery of new facts, knowledge and products in the world of natural and material sciences. The emergence of the most efficient techniques in statistical or bioinformatics situations has therefore become a routine practice in research and industrial sectors. Under practical conditions, dealing...
The college students are outstanding contemporary youth, and the universities are source of various social trend of thought. It is a big challenge for the college educational workers to cultivate the college students of healthy, upward characters. However, the traditional teaching methods cannot meet the requirements and get an expected result. To solve these problems, a cultural transmission platform...
As a derivative of Restricted Boltzmann Machine (RBM), classification RBM (Class RBM) is proved to be an effective classifier with a probabilistic interpretation. Several elegant learning methods/models related to Class RBM have been proposed. This paper proposes and analyzes a Rényi divergence based generalization for discriminative learning objective of Class RBM. Specifically, we extend the Conditional...
The industry that has been benefitted the most by the developments in VLSI technology is that of mobile phones. Modern day mobile handsets are referred to as smartphones and have reached to the hands of every person even in the remote corners of the world. Yet another revolutionary research was the development of the Android open source mobile OS which has made the mobile phones smarter. So, we decided...
Social networks and social network analysis are one of the hottest topics in Academia as well as in the industry nowadays. A collaboration (or a co-authorship) network, is a type of social networks in which the actors are scholars and researchers and a tie between two actors represents the fact that they have co-authored at least one paper together. The objective of this work is to study scientific...
Effective machine-learning handles large datasets efficiently. One key feature of handling large data is the use of databases such as MySQL. The freeware fuzzy decision tree induction tool, FDT, is a scalable supervised-classification software tool implementing fuzzy decision trees. It is based on an optimized fuzzy ID3 (FID3) algorithm. FDT 2.0 improves upon FDT 1.0 by bridging the gap between data...
Social and health informatics has the potential of improving the general wellbeing and health of individuals. Although the structure and nature of health facilities and services in some countries may pose a challenge for a short while, such obstacles according to many studies will be streamlined in the near future. The widespread utilization and implementation of healthcare information system in the...
Mobile users access location services from a location based server. While doing so, the user's privacy is at risk. The server has access to all details about the user. Example the recently visited places, the type of information he accesses. We have presented synergetic technique to safeguard location privacy of users accessing location-based services via mobile devices. Mobile devices have a capability...
Cold-Start is one of the most difficult problems faced by web companies today in the domain of recommendation system. Cold-Start problem refers to predicting the behavior of a new user/item having no history. Common algorithms used to predict users behavior fail at addressing the cold-start problem because the algorithms are based on the user history with the company. But in this paper, we successfully...
Linking multiple data collections to create longitudinal data is an important research problem with multiple applications. Longitudinal data allows analysts to perform studies that would be unfeasible otherwise. In our research we are interested in linking historical census collections to create longitudinal data that would allow tracking people overtime. The goal of the linking is to identify the...
With the semi-structured data rapidly growing, it is crucial to obtain valuable information for different applications. So many data mining methods are proposed and the frequent sub trees mining is an important and typical method. The current mining methods demand substantial computational time and space, and return a huge number of patterns, but some important sub trees are often missed and some...
An emotion orientated intelligent interface consists of Emotion Generating Calculations (EGC) and Mental State Transition Network (MSTN). We have developed the Android EGC application software which the agent works to evaluate the feelings in the conversation. In this paper, we develop the tourist information system which can estimate the user's feelings at the sightseeing spot. The system can recommend...
Objective: Based on the Apriori algorithm, we develop a method for mining traditional Chinese medicine herb prescriptions. Procedures and Methods: input the 1,632 medical records of Chen Shouqiang, Associate Chief Physician, into the electronic medical records management system; mine the high-frequency combination of traditional Chinese medicine for treatment of coronary heart disease via the Apriori...
The usability of the NGS technologies heavily relies on the accuracy of the data. Many research groups developed different programs to clean the sequenced raw data by removing adapter contamination and trimming low-quality nucleotides. However, they are not optimized to process data from any specific equipment. In this study, we present an optimized pipeline Fastq_clean to clean the DNA-seq and RNA-seq...
The emergence of Massive Open Online Courseware (MOOC) has garnered widespread attention for revolutionizing open access learning and it is considered as the main driver of education innovation. The literature on MOOC is steadily growing. However, there is not much effort being conducted to systematically curate, review and analyse the emergent trends on MOOC in higher educational institutions. For...
Tinnitus is the most common medical symptom that can be debilitating. Chinese herbal medicines (CHMs) play important roles in tinnitus treatment. This study analyzed the most frequently prescribed herbs used to treat tinnitus and the molecular mechanisms of therapeutic effects of these CHMs by text mining and bioinformatics technique. Results showed that pinellia ternate (Banxia) and gastrodin (Tianma)...
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