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The rapid development of the Internet has brought great convenience to users, but it also brought a lot of troubles to the users' information privacy exposure. This study selects the basic information of 300 users on FACEBOOK social media to cluster analysis. The data sets of users are divided into five groups by experiment, and the clustering results are classified and then discussed. By the analysis...
Nowadays mass passenger flow phenomena at different degrees appear in many big cities with large-scale transit network, and those phenomena tend to be regular and complicated. As the most popular public transport in Taipei, Mass Rapid Transit (MRT) is a quite effective traffic tool to relieve the pressure of passenger congestion, especially in rush hours. In this paper, a MRT passenger flow prediction...
Cognitive radio (CR) allows unauthorized users to access authorized band without interfering the authorized user, thereby improving the bandwidth efficiency. In addition, cooperative communications with relay stations (RSs) can be used to improve throughput performance of 4G downlink network. In this study a cognitive radio assisted cooperation (CRAC), which combines advantages of CR and cooperative...
With the increasing popularity of the Internet of Things applications, investors are more willing to invest on small digital electronic products and seek business opportunities. At the same time, along with the improvement of the data processing method, people want to get more accurate data. This paper presents an application that using Arduino and Bluetooth electronic scale to connect to smart phones...
A combination of multiple-input multiple output (MIMO) signal processing with orthogonal frequency division multiplexing (OFDM) is regarded as a promising solution for enhancing the performance of next generation wireless local area network (WLAN) systems. However, like OFDM, one main disadvantage of MIMO-OFDM is that the signals transmitted on different antennas might exhibit a prohibitively large...
Social Media encourages users to participate more interactions in Internet. They could share, interact, post the activity. In social networks relation could be defined by post and like to each other status. This data is like a treasure vault waiting to be utilized by the system to develop the recommendation systems. We propose a novel method to make personalized recommendation system which utilizes...
As social media services (e.g. Wikipedia, Facebook, Twitter, Linkedin, and so on) become more and more popular, it is of greater research interest to raise the efficiency of using Sentiment Analysis to predict future opinion trends. Based on the naïve Bayes classifier, this research proposes a novel emotion classifier, CCLM (Combined CKIP Language Model), to enhance the precision of opinion classification...
In recent years, due to the development and advance in information science and technology, people care more about the healthy diet, so diet types gradually change and take more focus on health management. Nowadays, it is becoming an aging society in Taiwan people have irregular life, long-term unhealthy diet, work pressure and other factors to be chronic disease, such as diabetes, hypertension and...
Research results on medicine and health show that people nowadays tend to have some common diseases because of abnormal eating habits, irregular lifestyles, fast-food culture, etc. Diabetes and high blood pressure are just two examples. This study is based on an ontology-based dietary management system established by our group earlier. The main contribution of this paper is to propose a method for...
The basic concept of smart environment is to be aware of the context information related to environmental and human behavioral changes, and to provide appropriate services accordingly. To obtain the context information, people often use video cameras, microphones, and other devices. These devices can obtain complex environmental data but they also need powerful equipment for handling the data. In...
The basic concept of smart environment is to be aware of the context information related to environmental and human behavioral changes, and to provide appropriate services accordingly. To obtain the context information, people often use video cameras, microphones, and other devices. These devices can obtain a wealth of environmental information, but could easily lead to privacy issues. Large environmental...
In recent years, indoor air quality is being a serious problem. The elevated levels of carbon dioxide make dramatic changes of climate. Global climate is suffering from environmental crises. High concentrations of carbon dioxide levels will have a bad effect on the environment and human may cause hypoxia, numb hands and feet, lose consciousness or even death. In this paper, we will set up a system...
It is known that unhealthy diet, irregular life, work pressure and other factors can result in a number of diseases. Diabetes mellitus, peptic ulcer, and gastro-enteritis are just a few examples. To reduce these diseases, diet management is becoming an indispensable part in our daily lives. The main purpose of this study is to build a diet management system that can provide the user's correct nutritional...
In this paper, both effective bandwidth extension and distributed issues are investigated to improve the energy efficiency for the orthogonal frequency division multiplexing (OFDM) wireless communication systems. A Fuzzy based energy efficient bandwidth expansion (FBEEBE) scheme is proposed to fast infer the bandwidth extension factors (BEFs) for users based on fuzzy inference systems. The proposed...
Context awareness has become an important issue in recent years. However, we still do not have a formal mechanism for solving related problems due to the complexity caused by personalization, service diversity, user intension, and so on. In this paper, we investigate the possibility of solving the problems using re-definable ontology. As a concrete example, we study smart phone based automatic service...
To train students to learn a skill and increase the competitiveness for jobs, all the tertiary institutions design special curriculum program to have a goal as learning to meet the demand of professional skills for students. This study used ontology technology to implement the Course-recommendation System, to provide students adaptive learning recommendations, and let students to learn a complete...
In recent years, lots of researches have explored how to extend the lifetime of wireless sensor networks. Many of them focus on how to defend against Denial of Service (DoS) [1] attacks, and focus on how to arrange the locations of sensor nodes in different wireless sensor network architectures to extend the lifetime of sensor networks and to improve network security. This paper will use artificial...
In recent years, context-aware services (CAS) becomes very popular. The purpose of CAS is to adjust and execute services based on user situation. Many researchers use ontology as a control core of the CAS system. Ontology is a method to represent relationship between different information, and user can obtain explicit or implicit information using ontology. A CAS system typically consists of an ontology...
In recent years, the expanding of wireless technologies have applied to indoor location. However, the results of indoor location are not accurate because of the signal instability caused by the multi-path, diffraction and scattering phenomena; In addition, the wireless signal is susceptible to environmental factors inference, such as wall, humidity and dust. In this paper, firstly, we use Kalman Filter...
In recent years, the expanding of wireless technologies has applied to position location and context-aware computing. The position location methods are divided into indoor and outdoor types. GPS (Global Position System) is usually used in outdoor location but it was not applied to indoor environment. In this paper, we will propose a new method using ZigBee to perform indoor location tracking. This...
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