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Skyline queries are currently the most notable type of multi-criteria search algorithm. A skyline query returns all of the data points in a given a dataset that are not dominated by other data points. However, this type of query is limited by the fact that the number of results cannot be controlled. In some cases, this can result in an excessive number of results, whereas other cases result in an...
This paper simply introduces the meaning and equipment of radio monitoring, and mainly discusses how to design a platform which can storage, manage, retrieve and analysis radio coverage data based on B/S model by using database and Baidu map JavaScript API technology and combining with the characteristics of radio monitoring equipment. Radio coverage data from radio monitoring equipment will go into...
In this paper, we propose an efficient building identification algorithm to allow users to take a picture by mobile phones and get the building information in few seconds. First, we use the GPS and compass information to reduce the search area. Next, we use the concept of the flood fill algorithm to cutout the building parts in the picture. Then, by extracting SIFT features, we can calculate the similarities...
The Fish4Knowledge (F4K) project involves analysing video generated from multiple camera feeds to support environmental and ecological assessment. A workflow engine is utilised in the project which deals with on-demand user queries and batch queries, selection of a suitable computing platform on which to enact the workflow along with a selection of suitable software modules to use to support analysis...
Although there are many recommendation systems in use, they all face various challenges including the integration of diverse source data, improvement of prediction precision and meeting the user's satisfaction. In order to increase success rate of satisfied recommendations as well as the applications in different domain fields, we propose an Intelligent Recommendation Model and conduct a case study...
Most association rule mining research focuses on finding positive relationships between items. However, many studies in intelligent data analysis indicate that negative association rules are as important as positive ones. Therefore, we propose a method improved upon the traditional negative association rule mining. Our method mainly decreases the huge computing cost of mining negative association...
As personal multimedia devices become mainstream consumer products, an energy-aware on-demand video streaming system for portable devices is critical. A critical component of an energy-aware video streaming system is an accurate energy prediction scheme for video decoding. In this paper, we propose the first content-aware energy predictor for video playback. We correlate video attributes with decoding...
Sequential pattern mining has become more and more popular in recent years due to its wide applications and the fact that it can find more information than association rules. Two famous algorithms in sequential pattern mining are AprioriAll and PrefixSpan. These two algorithms not only need to scan a database or projected-databases many times, but also require setting a minimal support threshold to...
Most existing algorithms for mining frequent closed itemsets have to check whether a newly generated itemset is a frequent closed itemset by using the subset checking technique. To do this, a storing structure is required to keep all known frequent itemsets and candidates. It takes additional processing time and memory space for closure checking. To remedy this problem, an efficient approach called...
Disordered voice database is very useful for analyzing, evaluating patients' disease conditions. According to pathological conditions of patients and characteristics of Mandarin speech, our database is composed of sustained vowel, words, sentences and poetry. The sustained vowel part contains the most common used six vowels in Mandarin speech. The words part contains ten simple words. The sentences...
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