Aletheia University

About: Aletheia University is a education organization based out in Taipei, Taiwan. It is known for research contribution in the topics: Supply chain & Wireless sensor network. The organization has 767 authors who have published 1194 publications receiving 17323 citations. The organization is also known as: Aletheia University.

Subsampling-Based Image Tamper Detection and Recovery Using Quick Response Code

Abstract: Quick response (QR) code is the prevalent trademark for a type of matrix barcode symbol. That code is always scanned to efficiently acquire data, especially for mobile device users. It involves the capabilities of data storage, reliable readability and strong error correction. This paper utilizes these properties of a QR code to propose an image tamper detection and recovery scheme for grayscale images. The image to be protected is first subsampled and decomposed the principal energy compaction for image blocks. These are regarded as the image authentication and recovery data and then are encoded into the pattern of a QR code. The QR code is subsequently embedded into the original image. Experimental results showed that the authentication and recovery data in a QR code is able to sustain certain perceptible distortions such that the proposed scheme can detect tampered regions clearly and recover them roughly. Moreover, the proposed scheme also provides a better embedded image quality in comparison with the previous method.

Intelligent household energy management recomender system

Abstract: Recent years have seen extensive research in home energy management systems to address the issues of rising energy prices and global warming. The focus of these research efforts is to create a smart environment which integrates household energy consumption appliances and devices into a home area network. This home area network collects energy consumption data constantly in real time in order support data analysis, decision making and enable the householders to have a transparent view of their energy consumption. The ultimate goal is to use Information and Communication Technologies (ICT) to help householders to reduce their energy consumption while maintaining level of their comfort. The proposed recommender system is a subsystem of an integrated energy management system which involves innovative technologies to monitor and analyse energy consumption of households in real time and enables them to have more detailed picture of their energy consumption and also provide them advice on efficient energy usage. The recommender system is supported by the monitoring system which consists of a network of energy consumption monitoring sensors. These sensors read energy consumption of household appliances in real time and send the data to a central server for storage, analysis and query purposes. In this paper we present a recommender system which provides advice to householders proactively by taking in account their energy consumption patterns and also provides answers to their queries regarding efficient use of energy.

Map–Reduce–Style Job Offloading Using Historical Manufacturing Behavior for Edge Devices in Smart Factory

Abstract: For smart factories in the Industry 4.0 era, edge devices can be used to run intelligent software packages (i.e., manufacturing services) to support manufacturing activities of production equipment. However, this kind of edge device may fail to provide designed functionalities in time when it encounters a sudden high-computation (SHC) job that cannot be executed by the edge device itself within a required time constraint. Thus, how to assure that an edge device can effectively execute SHC jobs so as to provide manufacturing services to equipment in time is an important and challenging issue for smart manufacturing. Exiting job-shop scheduling (JSS) methods may optimally allocate jobs for production lines but cannot directly be applied to handle the edge devices SHC jobs, which occur irregularly and are hard to specify processing time slots for JSS methods. Aimed at resolving the above-mentioned issue, this letter proposes a novel manufacturing-behavior-based map-reduce-style job offloading scheme. First, a distributed job processing architecture is designed to allow distributed edge devices to collaboratively complete an SHC job to support manufacturing. Next, a map-reduce-style program structure is developed so that an SHC job can be easily divided into multiple parts that can be executed in parallel by the selected edge devices, each device processing a part. Then, a mechanism of selecting proper edge devices to complete the SHC job, considering historical manufacturing behaviors of each edge device, is proposed for achieving high offloading efficiency. Finally, we simulate a factory with 20 machines to conduct integrated tests. Testing results demonstrate the effectiveness and excellent performance of the proposed scheme.

The value of positron emission tomography in early detection of lung cancer in high‐risk population: a systematic review

Abstract: Background: Early detection trials with chest radiography and sputum cytology were ineffective in decreasing lung cancer mortality The advent of low-dose spiral chest computed tomography (LDCT) provided clinicians with a new tool that could be with early diagnosis; however, this also raised significant concerns regarding the systematic use of LDCT with its high false-positive rate for benign nodules At this time, there is limited information about the true role of PET (positron emission tomography) for early detection of lung cancer Methods: We used systematic methods, including Preferred Reporting Items for Systematic reviews and Meta-Analyses statement, to identify relevant studies, assess study eligibility, evaluate study methodological quality, and summarize findings regarding diagnostic accuracy and outcome Results: In total, only seven eligible studies were selected from 82 potentially relevant studies The sensitivity of 18F-FDG-PET for the detection of T1 lung cancers ranged between 68% and 95% The rate of detection tended to be lower for carcinoid tumors, adenocarcinoma and bronchoalveolar cell carcinomas FDG-PET using SUV (standardized uptake value) level can predict the outcome of the screening detected lung cancer A combination of FDG-PET and LDCT may improve screening for lung cancer in high-risk patients Conclusions: PET or PET/CT may be used as a useful tool for early detection of lung cancer in high-risk population based on the existing information However, there is still limited information with regards to evidence of survival benefits from PET screening in high-risk patients Please cite this paper as: Chang C-Y, Chang S-J, Chang S-C and Yuan M-K The value of positron emission tomography in early detection of lung cancer in high-risk population: a systematic review Clin Respir J 2013; 7: 1–6

Classroom Practices of Teacher Interns in Taiwan and Philippines: A Comparative Study

Abstract: This study aims to compare the classroom practices of teacher interns in terms of lesson planning, classroom management and assessment during the teaching of English in the primary schools in the countries of Taiwan and Philippines. Document analysis, field notes, interns’ reflective daily journals, and classroom observations were used during the data collection of this study. Results show that there are significant similarities and differences in the classroom practices of the teaching of English of the two countries in terms of lesson planning, classroom management and assessment. The two countries differ in the way they organized instruction of internship courses. To prepare more innovative and quality teachers in English starts from the teacher training where pedagogical knowledge is developed during the pre-service years that includes the pre-service teaching program.