Data Mining - Concepts and Techniques.

We will review some of the major results in random graphs and some of the more challenging open problems. We will cover algorithmic and structural questions. We will touch on newer models, including those related to the WWW.

Random graphs

“Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告

Social Network Analysis

Emotion and Adaptation

This work proposes an approach to address the problem of inductive bias or model misfit incurred by the centroid classifier assumption to enhance the automatic text classification task. This approach is a trainable classifier, which takes into account tfidf as a text feature. The main idea of the proposed approach is to take advantage of the most similar training errors to the classification model to successively update it based on a certain threshold. The proposed approach is simple to implement and flexible. The proposed approach performance is measured at several threshold values on the Reuters −21578 text categorization test collection. The experimental results show that the proposed approach can improve the performance of centroid classifier.

Automatic text classification using modified centroid classifier

High-quality sleep is essential to our daily lives, and real-time monitoring of vital signs during sleep is beneficial. Current sleep monitoring solutions are mostly based on wearable sensors or cameras, the former is worse for sleep quality, the latter is worse for privacy, dissimilar to such methods, we implement our sleep monitoring system based on COTS WiFi devices. There are two challenges need to be overcome in the system implementation process: First, the torso deformation caused by breathing/heartbeat is weak, how to effectively capture this deformation? Second, movements such as turning over will affect the accuracy of vital signs monitoring, how to quickly distinguish such movements? For the former, we propose a motion detection capability enhancement method based on Rice-K theory and Fresnel theory. For the latter, we propose a sleep motion positioning algorithm based on regularity detection. The experimental results indicated the performance of our method.

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Wital: WiFi-based Real-time Vital Signs Monitoring During Sleep

Traditional 3D NoC router may encounter the situations of congestion and hot spot. And it also doesn't have the function of multicast. In this paper, we present a new routing arithmetic called Multicast Rotational Routing Arithmetic (MRRA). It can handle several destination addresses at the same time, recombine packets, sent the same data to the different destination nodes, and avoid the congestion. The proposed algorithm is implemented by the new multicast 3D NoC router which is also proposed in this paper. The 3D NoC router is designed in Verilog HDL, simulated by Modelsim, synthesized and prototyped by Synplify and FPGA respectively. The experiment results show that the multicast router of MRRA can achieve a very good performance in terms of throughput and delay. The increased area utilization also can be tolerated.

Design and realization of 3D NOC multicast router base on multicast rotational routing arithmetic

A new fuzzy reasoning method called the reverse universal triple I method of (1,1,2) type (reverse universal triple I method for short) is proposed and investigated by means of the famous Lukasiewicz implication, which contains the reverse triple I method as its special case The reverse triple I principles are improved, and the optimal solutions of reverse universal triple I method are obtained for Fuzzy Modus Ponens (FMP) and Fuzzy Modus Tollens (FMT) Furthermore, it is found that the reverse universal triple I method has the reversibility property Lastly, the reverse universal triple I method is further generalized to the alpha-reverse universal triple I method, and the related principles and optimal solutions are achieved

Reverse universal triple I method of (1,1,2) type for the Lukasiewicz implication

It is important for health care staff to understand patients' emotion and affective changes. Health care staffs should understand the patients' world as if this was his her own. This is called "empathic understanding". To understand the emotional process, electroencephalograph recording (EEG) was performed on five healthy participants while watching the sentimental movie which was 24-minutes long. The EEG changes during the emotional scenes were collected and compared with emotionally stable states. By using power map and spectrogram analyses of EEG, alpha bands at the occipital region were seen specifically among the emotionally impressed states. It seemed that the changes indicated the objective expression of empathic understanding. We suggest that EEG with power map and spectrogram analyses is a useful fundamental tool for developing a second generation computer system adjusted to the changes of one's mind. However, further examinations to remove artifacts among the EEG results are needed.

Fuji Ren

Papers

Automatic text classification using modified centroid classifier

Wital: WiFi-based Real-time Vital Signs Monitoring During Sleep

Design and realization of 3D NOC multicast router base on multicast rotational routing arithmetic

Reverse universal triple I method of (1,1,2) type for the Lukasiewicz implication

Electroencephalograph Estimation Method of Measuring "Empathic Understanding"