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We evaluate a Bluetooth-based mobile contact-confirming app, COVID-19 Contact-Confirming Application (COCOA), which is being used in Japan to contain the spread of COVID-19, the disease caused by the novel virus termed SARS-COV-2. The app prioritizes the protection of users’ privacy from a variety of parties (eg, other users, potential attackers, and public authorities), enhances the capacity to balance the current load of excessive pressure on health care systems (eg, local triage of exposure risk and reduction of in-person hospital visits), increases the speed of responses to the pandemic (eg, automated recording of close contact based on proximity), and reduces operation errors and population mobility. The peer-to-peer framework of COCOA is intended to provide the public with dynamic and credible updates on the COVID-19 pandemic without sacrificing the privacy of their information. However, cautions must be exercised to address critical concerns, such as the rate of participation and delays in data sharing. The results of a simulation imply that the participation rate in Japan needs to be close 90% to effectively control the spread of COVID-19.

The importance of location prediction is rapidly increasing with the current trend of database applications in mobile computing environment. However, current personal communication services network could only provide currently maintained location information of non-idle mobile terminals. Pertinent researches predict the future location based on tangent velocity approaches, which require mobile terminals to spend lots of precious electronic power to sense and then measure a sequence of positions for predicting the future tangent velocity, and the prediction is effective only within a short range of time. In this study, we propose an approach to predict future locations of mobile terminals based on the moving behaviors mined from their long-term moving history. Location prediction based on moving behavior requires no power consumption for position measurement, and the prediction results are effective for a long time without requiring the queried clients to be non-idle. With the help of moving behavior, we propose several location prediction operators for location query. Finally, we demonstrate the accuracy of the location query operators through simulation statistics. The experimental results show that the predictions are accurate enough for regular moving mobile terminals.

EIMS is a stable and safe communication system. It integrates the communication of citizen patrols and police units. When unexpected emergency happens, the system can enhance the citizen patrols' communications capabilities, decrease the time in communication and response, and reduce the loss of life and property. There are five citizen patrols implemented EIMS in northern Taiwan. They have enhanced the capacity of community citizen patrols. And, there are more than 1,500 residents to enjoy the efficient of its system.

In recent years, rapid growth of the Internet and Instant Messaging (IM) technology makes IM a popular communication tool. In the meantime, Internet trend is evolving into the new generation, Web2.0, with emphasis on user co-constructing cybercontents. People around the world communicate with each other via on-line IM all day long. If you are stuck in an unfamiliar place and need assistance, asking assistance through IM service is a warrant that support will be delivered to you in time. Therefore, we propose to combine Google Talk (GTalk) of handheld devices with IM service over Web 2.0 forming a support system to assistance tourist travel in unfamiliar areas with confidence. When you need assistance, the content of your question message is input into a speech server by constructing an analytical model for Speech Interface Languages (SILs) system. The speech server translates your speech into text and sent out to IM Web 2.0 group for answering. Later on, when you log in the GTalk again, assistance will come to your hand at once. Because so many people are using on-line IM for 24 hours, the system should be very helpful for tourist around the world. Our system is now going on feasibility study and a large scale of experiment will conduct when we collect enough response about the system.

Nowadays, medical centers are working on setting a safe medicating environment by using information technology. This study tried to improve patients' safety environment, communications among medical workers and patients, medicating quality, and medical process efficiency through a wireless handheld RFID patient safety enhancement system for medical personnel. The proposed portable patient information integration system combines Radio Frequency Identification (RFID) technology, Wireless Network, Personal Digital Assistant (PDA) and Front-Monitoring System. Through the help of the proposed system, the medical workers can identify patients by non contact identification and get medical record immediately. Meanwhile the proposed system can record the history of the interaction between medical personnel and patients. It can also send alarm to the corresponding medical workers when reporting a high risk testing result and give medicine safety suggestion. The proposed system can improve the correctness and instantaneousness of patients' medical information and hence provide a safe environment for patients, and the Wan Fang Hospital is now verifying the performance of this system for improving the patients'safety.

At least 43% of the human genome is occupied by repetitive elements. Moreover, around 51% of the rice genome is occupied by repetitive elements. The analysis of repetitive elements reveals that repetitive elements in our genome may have been very important in the evolutionary genomics. The first part of this study is to describe a database of repetitive elements - RSDB. The RSDB database contains repetitive elements, which are classified into the following categories: exact, tandem, and similar. The interfaces needed to query and show the results and statistical data, such as the relationship between repetitive elements and genes, cross-references of repetitive elements among different organisms, and so on, are provided. The second part of this study then attempts to mine the putative binding site for information on how combinations of the known regulatory sites and overrepresented repetitive elements in RSDB are distributed in the promoter regions of groups of functionally related genes. The overrepresented repetitive elements appearing in the associations are possible transcription factor binding sites. Our proposed approach is applied to Saccharomyces cerevisiae and the promoter regions of Yeast ORFs. The complete contents of RSDB and partial putative binding sites are available to the public at www.rsdb.csie.ncu.edu.tw. The readers may download partial query results.

In a location query process the most expensive procedure is maintaining the location information of mobiles. To reduce the expensive cost, we adopt the profile-based approach to design a behavior-based strategy (BBS) based on the moving behavior of each mobile generated by long-term collection of its moving history. We use a data mining technique to mine the moving behavior of each mobile and then estimate the probability that each mobile stays in each location at each time region given the last known location from its moving behavior. To reduce unnecessary computation, we consider the location tracking and computational cost and then derie a cost model. A greedy heuristic is proposed to minimize the cost modle through finding the appropriate checkpoints. The experimental results show our strategy outperforms fixed paging area strategy currently used in GSM or IS-54 system and time-based strategy for highly regular moving mobiles.