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The exponential amount of geospatial data that has been accumulated in an accelerated pace has inevitably motivated the scientific community to examine novel parallel technologies for tuning the performance of spatial queries. Managing spatial data for an optimized query performance is particularly a challenging task. This is due to the growing complexity of geometric computations involved in querying...
This research aimed to apply statistical methods able to survey individuals group into subgroups with similar features on their skills with technology. The sample included the participation of teachers who responded to the online survey of semi-structured survey on the experiences of use and level of knowledge of technological tools to support education. The data collected were organized into tables...
Multiobjective optimization refers to optimization of multiple conflicting objective functions simultaneously. Clustering problem is often formulated as a multiobjective optimization problem where multiple cluster quality measures are simultaneously optimized and Pareto based approaches are popular in solving that Pareto based approaches yield a set of solutions known as Pareto front where all the...
In this paper, the implementation of the K-means clustering algorithm on a Hadoop cluster with FPGA-based hardware accelerators is presented. The proposed design follows MapReduce programming model and uses Hadoop distribution file system (HDFS) for storing large dataset. The proposed FPGA-based hardware accelerator for speed up the K-means clustering algorithm is implemented on Xilinx VC707 evaluation...
Provides an abstract for each of the four plenary presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
We present and evaluate a new GPU algorithm based on the Louvain method for community detection. Our algorithm is the first for this problem that parallelizes the access to individual edges. In this way we can fine tune the load balance when processing networks with nodes of highly varying degrees. This is achieved by scaling the number of threads assigned to each node according to its degree. Extensive...
Cluster structure is one of the most important structures that have received increasing attention over recent years. This paper presents a modification to the structure of the cluster tree Wireless Sensor Network (WSN) dividing clusters into sub-groups. Each group of these sub-groups operates like a tree from a small number of nodes. The results from the implemented adjustments indicate a significant...
Evolutionary affinity propagation, an evolutionary clustering algorithm that groups data points by exchanging messages on a factor graph, is proposed. The algorithm promotes temporal smoothness of the clustering solutions at distinct temporal snapshots by linking variable nodes of the graph across time, and is capable of detecting cluster births and deaths. Unlike most existing evolutionary clustering...
This paper describes a distributed calculation scheme for scoring relationship among documents. This scheme categorizes documents by using an algorithm which calculates a score value for the relationship between a category and a word in a document. The longer calculation time becomes when increasing the number of documents. Therefore, our scheme uses multiple machines. A master node divides a document...
Recently, due to the popularity of Web 2.0, considerable attention has been paid to the opinion leader discovery in social network. By identifying the opinion leaders, companies or governments can manipulate the selling or guiding public opinion, respectively. Additionally, detecting the influential comments is able to understand the source and trend of public opinion formation. However, mining opinion...
Ambient intelligence (AmI) deals with a new world of ubiquitous computing devices, where physical environments interact intelligently and unobtrusively with people. AmI environments can be diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, vehicles, tourist attractions, stores, sports facilities, and music devices. In this paper, we present the design and implementation...
Due to the opportunities provided by the Internet, people are taking advantage of e-learning courses and enormous research efforts have been dedicated to the development of e-learning systems. So far, many e-learning systems are proposed and used practically. However, in these systems the e-learning completion rate is low. One of the reasons is the low study desire and motivation. In this work, we...
“Ecosystems of Trusted Execution Environment on Smartphones - A Potentially Bumpy Road”, Assad Umar, Raja Naeem Akram, Keith Mayes, and Konstantinos Markantonakis, Information Security Group, Smart Card Centre, Royal Holloway, University of London.
There is a growing number of viruses, malware, and other threats designed to gain access to system resources and information stored on smartphones. Previous work has shown that combining naive location identification with power-based malicious code detection can successfully detect certain kinds of power-hungry malware. This paper will discuss the effectiveness of using clustering, a more sophisticated...
Recently Information Technology is used extensively for wide range of application for example solutions enabled through e-commerce to different web based information system. This usage has lead to development of large textual data base. Mostly this information data is stored in unstructured text. This large data developed has lead to the need of its systematic clustering for easy data retrieval organization...
In recent years, the search of efficient and non-invasive methods for the diagnosis of diseases has grown among the scientific community. One of the explored areas for that purpose is the analysis of the pupillary response to light stimulus, obtaining results in areas such Diabetes, Alzheimer, Neurological Disorders, Melancholia and other different physiological states. However, each of those investigations...
This paper proposes the tool for the improvement of visitor spots of the Lanna civilization in the northern part of Thailand. Numbers of traveler are visited surrounding tourist spots in this area because of the identity of the culture, however large portions of the tourist attractions here still need to enhance to support the tourist. The propose tool expect to prescribe the subject to enhance for...
Presentation slides have always been the most effective tool to express a topic or theme. To present a particular topic, there is necessity for an individual to appropriately identify the relevant and important aspects that contribute to the related theme or topic. At present the tools for PowerPoint presentation generator like MSOffice, OpenOffice etc. carry out the task of generation of presentation...
Recent advances in clustering have shown that ensuring a minimum separation between cluster centroids leads to higher quality clusters compared to those found by methods that explicitly set the number of clusters to be found, such as k-means. One such algorithm is DP-means, which sets a distance parameter λ for the minimum separation. However, without knowing either the true number of clusters or...
Many colleges have accumulated a large amount of information, such as achievement data and consumption records. According to the above information, we attempt to identify the student group from various aspects. Given this, we can acquire the characteristics of students in different groups. In this way, the college can have a better understanding of students to accomplish the reasonable management...
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