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The mining of software repositories has provided significant advances in a multitude of software engineering fields, including defect prediction. Several studies show that the performance of a software engineering technology (e.g., prediction model) differs across different project repositories. Thus, it is important that the project selection is replicable. The aim of this paper is to present STRESS,...
Today smart devices such as smartphones, smartwatches and activity trackers are widely available and accepted in most developed societies. These devices present a broad set of sensors capable of extracting detailed information about different situations of daily life, which, if used for good, have the potential to improve the quality of life not only for individuals but also for the society in general...
In order to control risks and facilitate effective decision-making, the relations among risk chains should be systematically analyzed, which is a very difficult process. The aim of this research is to understand the connective generating structure of risk chains and plan problem solving accordingly. Therefore, in order to select the analysis method, association rule mining was applied. From the extracted...
The games industry is notorious for its intense work ethics with uncompensated overtime and weekends at the office, also known as crunch or crunch time. Since crunch time is so common within the industry, is it possible that the benefits of crunch time outweigh the disadvantages? By studying postmortems and conducting interviews with employees in the industry, we aim to characterise crunch time and...
In this paper we describe the use of keyword extraction in a data management platform for the storage, publication, and sharing of scientific and engineering datasets primarily related to the stress of concrete structures under earthquake conditions. To improve discoverability of datasets and assist scientists who upload data, we designed an automated keyword extraction system that will propose keywords...
In these days, Employee turnover has become a major challenge in many software industries. Most often, people suffer from stress due to heavy work pressures imposed on them and competitive spirit of the work completed in their day to day lives. A survey was conducted by software professionals who work for various companies and stress on them was investigated. For this study, the PEGASOS optimization...
To achieve high quality of silicon ICs, system-level test (SLT) can be performed after regular final test. This is important for chips manufactured in advanced technologies, as systematic failures are getting harder to detect by conventional structural tests. However, due to long test time and extra human efforts, the cost for SLT is high. A possible way to replace SLT without quality loss is to identify...
Reality mining in behavioral studies is one of the highly researched topics in computational science. The reason behind this great deal of experimentation is the particularly dynamic and potentially latent nature of human behavior. In this work, we have showcased our efforts in analyzing the associations between the smartphone usage and the mental state of the person during depression, stress and...
This paper offers some perspectives on the practice of data mining based on recent experimental research work to establish a link between system-level failures and structural scan test patterns. Beyond the obvious goal to obtain accurate results, knowledge discovery and data insights deserve equal if not higher emphasis. Domain knowledge plays a crucial role in guiding the use of multiple machine...
Emotions are at the peculiar element for thoughtfulness and perception ourselves and others, and the computerized annotation and recognition of emotion could enhance our knowledge and understanding with technologies. Nowadays, mobile messaging application as well as other social applications has become a dominant part of an individual's social interaction and relationships. The aura around these applications...
Stress is experienced by many people on daily basis. Often it remains to be unrecognized and unnoticed. We propose a framework for stress analytics and describe technologies facilitating management and exploration of multi-modal affective data captured in physiological signals, such as galvanic skin response and heart rate, as well as in facial expression, in speech and in written text. We envision...
Microfluidic grooves and channels enable the control of cell positioning and capturing of cells in cell-based biosensor applications. Microfluidic devices also provide a platform for cell-based biological assays. Microfluidic channels have been used to capture cells for various cell-based diagnostics and screening applications. The number of cells and cell locations are important factors which will...
The recent emergence of the so called online social fitness constitutes a good proxy to study the patterns underlying success in sport. Through these platforms, users can collect, monitor and share with friends their sport performance, diet, and even burned calories, giving an unprecedented opportunity to answer very fascinating questions: What are the main factors that shape sport performance? What...
This paper presents the hybrid approach for visualization of documents sets by the combination of hierarchical clustering method, based on the Growing Hierarchical Self-Organizing Maps algorithm, and Sammon projection. Algorithms based on the self-organizing maps provide robust clustering method suitable for visualization of larger number of documents into the grid-based 2D maps. Sammon projection...
A method to extract the interface states located in the center area (center ) and the located in the corner region (corner ) of nand Flash devices is presented in this paper. This extraction method is based on a careful combination of charge-pumping current data, technology computer-aided-design simulation results, and the “control gate (CG)-modulated...
L1 English and two varieties of L1 Mandarin English speech data were extracted from the Taiwan AESOP corpus (Asian English Speech cOrpus Project) for the purpose of investigating differences in the realization of English narrow focus by L1 speakers of North American English, Taiwan Mandarin and Beijing Mandarin. Results show the combined effect of two patterns of L2 focus production: general underdifferentiation...
Yield Prediction is an essential task to be achieved in order to implement effective forward marketing. Forward marketing is a contract that will be signed between supplier and client based on the amount of delivery and the price of delivery in future. To be able to sign such a contract the supplier should be very confident that the yield could be achieved. The yield sustainability is a challenging...
The development of highly integrated electronic packages leads to increasing numbers of materials combinations and bi-material interfaces within packages. For the development of robust packaged systems a fundamental knowledge of reliability relevant material parameters is needed. Delamination in packaged systems causes subsequent cracking, e.g. of the encapsulants, and ultimately the failure of the...
Arterial geometry variability is present both within and across individuals. To analyze the influence of geometric parameters, blood density, dynamic viscosity and blood velocity on wall shear stress (WSS) distribution in the human carotid artery bifurcation and aneurysm, the computer simulations were run to generate the data pertaining to this phenomenon. In our work we evaluate two prediction models...
Through analyzing the methane geologic data in fully mechanized mining face of the Tonghua Babao mine, based on practical application in the complex geological conditions of fully-mechanized mining In the domestic, on the basis of the characteristics of broken coal-wall and roof in fully-mechanized mining face, and analying chemical grouting reinforcement mechanism, the specific coal-wall and roof...
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