Search results for "General Computer Science"
showing 10 items of 895 documents
Toolbox for Distance Estimation and Cluster Validation on Data With Missing Values
2022
Missing data are unavoidable in the real-world application of unsupervised machine learning, and their nonoptimal processing may decrease the quality of data-driven models. Imputation is a common remedy for missing values, but directly estimating expected distances have also emerged. Because treatment of missing values is rarely considered in clustering related tasks and distance metrics have a central role both in clustering and cluster validation, we developed a new toolbox that provides a wide range of algorithms for data preprocessing, distance estimation, clustering, and cluster validation in the presence of missing values. All these are core elements in any comprehensive cluster analy…
A Review of Biosensors for Non-Invasive Diabetes Monitoring and Screening in Human Exhaled Breath
2019
Exhaled breath acetone has been identified as a diabetes biomarker for non-invasive diagnosis. Its detection using biosensors features has many advantages over the conventional means. This paper reviews the recent literature on the detection of exhaled breath acetone and acetone vapor of diabetic interest. The biosensors have been classified based on their transduction methods. The performance characteristics of the biosensors have been explored for comparison. The future trends are also highlighted.
Ventricular Fibrillation detection using time-frequency and the KNN classifier without parameter extraction
2017
[ES] Este trabajo propone la detección de FV y su discriminación de TV y otros ritmos cardiacos basándose en la representación tiempo-frecuencia del ECG y su conversión en imágen como entrada a un clasificador de vecinos más cercanos (KNN) sin necesidad de extracción de parámetros adicionales. Tres variantes de datos de entrada al clasificador son evaluados. Los resultados clasifican la señal en cuatro clases diferentes: ’Normal’ para latidos con ritmo sinusal, ’FV’ para fibrilación ventricular, ’TV’ para taquicardia ventricular y ’Otros’ para el resto de ritmos. Los resultados para detección de FV mostraron 88,27% de sensibilidad y 98,22% de especificidad para la entrada de imágen equivale…
Salesperson adoption and usage of mobile sales configuration tools
2018
PurposeThe purpose of this paper is to examine salespersons’ adoption and usage of mobile sales configuration tools (MSCT) and to identify areas for further development in this realm. Another objective is to offer a conceptualization of MSCT adoption.Design/methodology/approachFor this purpose, a qualitative case study approach was selected as the research method to better understand acceptance of a mobile configuration tool used by business-to-business (B2B) salespersons. Primary data were collected through semi-structured interviews, which included a series of open-ended questions to gain more detailed and contextual data.FindingsThe results obtained from the interviews indicated several …
An EEMD Aided Comparison of Time Histories and Its Application in Vehicle Safety
2017
In the context of signal processing, the comparison of time histories is required for different purposes, especially for the model validation of vehicle safety. Most of the existing metrics focus on the mathematical value only. Therefore, they suffer the measuring errors, disturbance, and uncertainties and can hardly achieve a stable result with a clear physical interpretation. This paper proposes a novel scheme of time histories comparison to be used in vehicle safety analysis. More specifically, each signal for comparison is decomposed into a trend signal and several intrinsic mode functions (IMFs) by ensemble empirical mode decomposition. The trend signals reflect the general variation a…
About time
2019
Purpose The purpose of this paper seeks to develop a motivation-based complementary framework for temporally dynamic user preferences to facilitate optimal timing in web personalisation. It also aims to highlight the benefits of considering user motivation when addressing issues in temporal dynamics. Design/methodology/approach Through theory, a complementary framework and propositions for motivation-based temporal dynamics for further testing are created. The framework is validated by feeding back findings, whereas some of the propositions are validated through an experiment. Findings The suggested framework distinguishes two ways (identifying/learning and shifting) of using a motive-base…
Quaternary Reversible Circuit Optimization for Scalable Multiplexer and Demultiplexer
2023
Information loss is generally related to power consumption. Therefore, reducing information loss is an interesting challenge in designing digital systems. Quaternary reversible circuits have received significant attention due to their low-power design applications and attractive advantages over binary reversible logic. Multiplexer and demultiplexer circuits are crucial parts of computing circuits in ALU, and their efficient design can significantly affect the processors’ performance. A new scalable realization of quaternary reversible 4×1 multiplexer and 1×4 demultiplexer, based on quaternary 1-qudit Shift, 2-qudit Controlled Feynman, and 2-qudit Muthukrishnan-Stroud gates, is presented in …
Searching for Global Employability : Can Students Capitalize on Enabling Learning Environments?
2019
Literature on global employability signifies “enabling” learning environments where students encounter ill-formed and open-ended problems and are required to adapt and be creative. Varying forms of “projects,” co-located and distributed, have populated computing curricula for decades and are generally deemed an answer to this call. We performed a qualitative study to describe how project course students are able to capitalize on the promise of enabling learning environments. This critical perspective was motivated by the circumstance of the present-day education systems being heavily regulated for the precipitated production of human capital. The students involved in our study described edu…
Practices and Infrastructures for Machine Learning Systems : An Interview Study in Finnish Organizations
2022
Using interviews, we investigated the practices and toolchains for machine learning (ML)-enabled systems from 16 organizations across various domains in Finland. We observed some well-established artificial intelligence engineering approaches, but practices and tools are still needed for the testing and monitoring of ML-enabled systems. Peer reviewed
Parental Attitudes toward Videogames at School
2019
Despite research having highlighted the positive outcomes of the use of videogames to learn, their integration into school contexts remains rare. Literature recognizes the importance of user’s technology acceptance to predict the intention to use and the adoption of new technology in several settings. So far, investigations have primarily focused on students’ and teachers’ opinions, while only a few studies have considered the role of parents. This study aimed to investigate the role of the dimensions of the technology acceptance model on parental preference (254 Italian parents) for the adoption of videogames in primary or secondary schools. Results revealed that 71% of the variance of par…