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Self-adaptive systems are able to modify their behavior and/or structure to deal with their continuously changing environment and internal dynamics. MAPE control loops, based on these four steps: Monitoring, Analysis, Planning, and Execution, have been identified as crucial elements in realizing self-adaptation of software systems. Adaptive systems are generally more difficult to design, specify and...
Festinating gait is one of the most commonly seen motor symptoms of Parkinson's Disease patients. In this research, an accelerometer-based sensing system implemented on a vest is used to detect the behavior of festinating gait. The detection algorithm is based on the analysis of gait symmetry from the data measured by accelerometers. Specific indices were proposed to evaluate the severity of festinating...
Error-related potentials (ErrP) have been increasingly studied in psychophysical experiments as well as for brain-machine interfacing. In the latter case, the generalisation capabilities of ErrP decoders is a crucial element to avoid frequent recalibration processes, thus increasing their usability. Previous studies have suggested that ErrP signals are rather stable across recording sessions. Also,...
Handling dynamically-evolving environments, where unpredictable scenarios, incomplete information and pressure for quick decisions are commonplace, might bring great complexity for teams during treatment. Variables considered for undertaking recommended procedures may yield a great number of decision alternatives. Additionally, expectations regarding the response to treatment may not match those actually...
This paper proposes three robust detection algorithms for locating the cutting line in an image captured by a panel-cutting system. All of the proposed methods contain two stages: edge detection and line fitting. In this paper, edge detection can search interest gradients depending on the intensity concentration. Meanwhile, the proposed line-fitting algorithm is able to precisely fit a line by minimizing...
SASEBO and SAKURA, boards developed for physical security analysis of cryptographic circuits against side-channel attacks, are FPGAs of different generations. The attacks perform statistical analysis on power or electromagnetic waveforms, and enhance leakage signals caused by a secret key. However, the signal becomes weaker along with the advancing miniaturization and high integration of semiconductor...
By applying the knowledge of customer power usage statistics from smart meters, power companies are able to improve the quality and efficiency of power delivery. However, using electrical usage data bears privacy issues. This study presents a novel user daily behavior disturbance algorithm (UDBD) to provide a privacy preserving mechanism for smart meters. Utilizing the user previous power usage data,...
Low-frequency-to-high-frequency ratio (LF/HF) of heart rate variability has been used as a maker of stress or sympathetic predominance in cardiac autonomic activity. Laboratory studies, however, indicate that LF/HF increases with standing and decreases with lying. We hypothesized that LF/HF in ambulatory monitoring is associated with the ratio of time in lying position during the monitoring (lying...
We consider a scenario in which Alice asynchronously communicates with Bob over a Discrete Memoryless Channel (DMC) while escaping detection from an adversary who observes their communication through another DMC. Specifically, Alice transmits codewords of length n and chooses the transmission epoch T uniformly at random among N available time epochs, where N ≫ n. This deliberate symbol level-asynchronism...
This paper presents a quality-of-service (QoS) based RFID system for smart assembly workshop towards the industrial Internet of Things (IoT). Under the context of the industrial IoT, every object in the assembly workshop is interconnected, which enables automated monitor of the production environment, track of the components/products/tools, and control of the machines and the execution process. The...
To facilitate self-monitoring interventions developed by the Faculty of Computer Science, Universitas Indonesia, a web-based self-monitoring tool was created. This study aims to evaluate the tool's usability and the user experience prior to its wide adoption. The User Experience Questionnaire and the System Usability Scale were used to evaluate the self-monitoring tool. The tool was used in a Human-Computer...
In this paper, a CMOS particulate matter 2.5 (PM2.5) concentration to frequency converter with calibration circuits for air quality monitoring applications is newly proposed. A calibration technique is proposed in this work. Another innovation is that the outputs of the proposed chip are directly digitized, they could be easily sent over a wide range of transmission media, such as PSN, radio, optical,...
For purpose of information management of film capacitor production workshop to provide convenience for production department management to grasp the production realtime data, in this paper, we design a film capacitor production monitoring system adopting the man-machine interactive information collection technology based on data acquisition and wireless network transmission. By the technology, we...
This paper presents an analysis using hierarchical grouping method (ward grouping) and the non-hierarchical grouping method (k-means) to analyze the participation levels in activities and interactions in a virtual forum. Data came from a MOOC and it was on grammatical rules of Brazilian Portuguese. About 5100 participants integrated the course. It lasted about three months and the activities developed...
The purpose of this study is to classify the emotions from human brain signals using electroencephalography (EEG). EEG signals were acquired while subject were watching the emotional stimuli. Subjects were asked to watch four types of emotional stimulus such as, happy, calm, sad and scared. The EEG signals were recorded using 14-channel brain headset. We preprocessed the EEG recorded data with manual...
ESA's Scientific Exploitation of Operational Missions (SEOM) programme represents a pathfinder for science and innovation addressing the needs and requirements of the Earth system science community in terms of providing novel observations, new algorithms and products that will be a driver for new and innovative scientific discoveries. The current paper aims to provide a brief overview of the various...
Home network complexity is dramatically growing in terms of topology (devices and connectivity technologies) and services leading to increasingly challenging management issues. In this context, enabling a better visibility of home network traffic usage and performance is a crucial step to provide efficient selfcare and customer care. In this paper, we study home network traffic monitoring architectural...
Urban lands of Chinese cities tend to expand in an unreasonable way, which has been a critical problem for China due to its insufficient land resources. As the important carrier loading active social economic activities and dense population, municipalities and provincial capitals are in an important strategic position in the China. In this study, 4 municipalities and 27 provincial capitals are selected...
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