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With the Web 2.0, the user is become an active part of the global network, by interacting with other people through social networks, blogs, etc. and posting his own comments. The importance of user opinions and relative sentiments and emotions is undiscussed. Companies and organizations monitor blog sites to catch the consumers' opinions about their products and services and then improve their marketing...
Optimal coverage plays an essential role in the service quality of wireless sensor networks because the monitoring can be accurate and meaningful if and only if information from all interesting areas is collected. To ensure high coverage and reduce cost in coverage problems, efficient deployments of sensor nodes in wireless sensor networks become the target of coverage optimization. This paper focuses...
In the design of rule-based classifiers, a single rule is often generated from a single pattern in a heuristic manner. Since the generated rule is likely to be over-specialized to the pattern, its conditions are often randomly replaced with don't care. However, the generalized rule with don't care conditions does not always have high classification ability. This is because the replacement is randomly...
This paper considers how the impression of gracefulness one feels from a bow is related to variations in the angles of the human body parts. From the fact that a bow movement is composed of multiple joints and tilting of various body parts, we developed a bow model using a skeleton model and uses it to extract the configuration factor of gracefulness in a bow in order to contribute to its objective...
High utility itemsets (HUIs) mining refers to discovering sets of items that not only co-occur but also carry high utilities (e.g., high profits). HUI mining receives extensive attentions in recent years due to the wide applications in various domains like commerce and biomedicine. However, huge number of HUIs might be produced to users, which degrades the efficiency of the mining process. A promising...
Since personal computers and mobile phones are now widespread, situations requiring handwritten characters are decreasing. There are many situations, i.e., places for social activities and ceremonial occasions, that require writing characters by hand, so people need the place to learn handwriting skills. Handwriting skills improve quickly with a teacher, but people cannot always learn with a teacher...
This paper proposes a personal-value based item modeling, which is used for explaining recommendation. In recent years, studies on improvements of user's satisfactions for recommender systems by showing process of recommendation have been popular in addition to precision of recommendation. The proposed method extracts personal values of reviewers of a movie as the influence of movie's attribute on...
Nowadays, public funded universities have to increase their traction in acquiring students and in gaining and retaining their commitment, satisfaction and loyalty. In the area of information management, the Structural Equation Modeling (SEM) technique has been widely applied to perform inter-construct causal analysis (i.e. Commitment, Quality of Services, Loyalty, etc.) on specific observed indicators...
Since the world technology grows faster and faster, the people is becoming much more health than ever before, thus getting longer of living age. On the other hand however, the rising number of elderly people also course the problem such as the aging of population. One case is that the population of elderly who live alone is increasing and more assistance should support on the situation the health...
Mongolian-Chinese statistical machine translation (SMT) system has its limitation because of the significant syntax differences, complex Mongolian morphology and scarce resource of parallel corpus. Template-based machine translation (TBMT) can produce high accuracy and good syntax structure translations with a relative small corpus. Therefore, SMT systems can combine with TBMT system to get better...
In this paper, a novel genetic type-2 self-organising fuzzy logic controller (SOFLC) is proposed for anaesthesia control. The genetic type-2 SOFLC has a hierarchical structure consisting of three layers: a basic type-2 fuzzy logic controller, a self-organising mechanism for online adaption, and a genetic algorithm for offline optimisation. The genetic type-2 SOFLC is tested under different levels...
This paper introduces the combination of NoSQL database HBase and enterprise search platform Solr so as to tackle the problem of the secondary indexing function and do fast query. An intelligent adaptation of adaptive network-based fuzzy inference system (ANFIS) along with particle swarm optimization (PSO ) has been employed off-line to tune seamless handoff and network traffic flow. Finally, the...
This paper investigates the use of using an evolving fuzzy system for printed circuit board (PCBA) demand forecasting. The algorithm is based on the evolving Takagi-Sugeno (eTS) fuzzy system, which has the ability to incorporate new patterns by changing its internal structure in an on-line fashion. We argue that these capabilities could aid in forecasting dynamic demand patterns such as those experienced...
In this paper, we present a classification method based on electroencephalogram (EEG) signal during left hand and right hand response inhibition (stop success vs stop fail) from different participants. The system uses phase locking value (PLV) for the features extraction and pattern recognition algorithm for classification. There are four classifiers: QDC, KNNC, PARZENDC and LDC used in this paper...
A point of interest (POI) is a specific location that people may find useful or interesting. Examples include restaurants, stores, attractions, and hotels. With recent proliferation of location-based social networks (LBSNs), numerous users are gathered to share information on various POIs and to interact with each other. POI recommendation is then a crucial issue because it not only helps users to...
The earlier ideas for time interval sequential pattern mining discovering the time interval pattern between two product items help managers promote the sale prediction of the items. For example, if most of the customers purchased product item A, and then they bought item B and C after r to s and t to u days respectively, the time interval between r to s and t to u days can be provided for managers...
Many types of wearable sensor systems have been developed for health monitoring system. This paper proposes a method of abnormal behavior detection utilizing 429MHz band wireless sensor module as a wearable sensor system. We apply fuzzy spiking neural network for feature extraction and use decision tree to identify the behavior patterns. Furthermore, we show an experimental result and discuss the...
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