16,025 research outputs found
Metadata Representations for Queryable ML Model Zoos
No full textMachine learning (ML) practitioners and organizations are building model zoos of pre-trained models, containing metadata describing properties of the ML models and datasets that are useful for reporting, auditing, reproducibility, and interpretability purposes. The metatada is currently not standardised; its expressivity is limited; and there is no interoperable way to store and query it. Consequently, model search, reuse, comparison, and composition are hindered. In this paper, we advocate for standardized ML model metadata representation and management, proposing a toolkit supported to help practitioners manage and query that metadata.Web Information SystemsHuman-Centred Artificial Intelligenc
A Manifesto of Nodalism
No full textThis paper proposes the notion of Nodalism as a means describing contemporary culture and of understanding my own creative practice in electronic music composition. It draws on theories and ideas from Kirby, Bauman, Bourriaud, Deleuze, Guatarri, and Gochenour, to demonstrate how networks of ideas or connectionist neural models of cognitive behaviour can be used to contextualize, understand and become a creative tool for the creation of contemporary electronic music
Inequality in Scotland: new perspectives
No full textThis paper presents new evidence on inequality in Scotland. It begins by explaining why inequality is taking centre stage in both national and international debates at this time. It then presents a variety of evidence about inequality in Scotland. It uses data from large-scale surveys over the last three decades to identify key economic and social trends that have influenced inequality. It goes on to analyse the effectiveness of policies in Scotland that are intended to redistribute between rich and poor. These are largely concerned with taxes and welfare benefits, some of which will fall under the control of the Scottish Parliament in the near future. It goes on to discuss the redistributive effects of policies that have other objectives - such as mitigating the effect of climate change, managing the housing market etc. This analysis is particularly novel in a Scottish context
Optimizing ML Inference Queries Under Constraints
No full textThe proliferation of pre-trained ML models in public Web-based model zoos facilitates the engineering of ML pipelines to address complex inference queries over datasets and streams of unstructured content. Constructing optimal plan for a query is hard, especially when constraints (e.g. accuracy or execution time) must be taken into consideration, and the complexity of the inference query increases. To address this issue, we propose a method for optimizing ML inference queries that selects the most suitable ML models to use, as well as the order in which those models are executed. We formally define the constraint-based ML inference query optimization problem, formulate it as a Mixed Integer Programming (MIP) problem, and develop an optimizer that maximizes accuracy given constraints. This optimizer is capable of navigating a large search space to identify optimal query plans on various model zoos.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Web Information SystemsHuman-Centred Artificial Intelligenc
STUDI EXPERIMENTAL PENGARUH BELL SIPHON TERHADAP VOLUME RESAPAN AIR HUJAN
No full textSecara umum proses resapan air tanah ini terjadi melalui 2 proses berurutan, yaitu infiltrasi (pergerakan air dari atas ke dalam permukaan tanah) dan perkolasi yaitu gerakan air ke bawah dari zona tidak jenuh ke dalam zona jenuh air. Daya infiltrasi adalah laju infiltrasi maksimum yang mungkin, yang ditentukan oleh kondisi permukaan tanah. Daya perkolasi adalah laju perkolasi maksimum yang mungkin, yang besarnya ditentukan oleh kondisi tanah di zona tidak jenuh. Laju infiltrasi akan sama dengan intensitas hujan jika laju infiltrasi masih lebih kecil dari daya infiltrasinya. Perkolasi tidak akan terjadi jika porositas dalam zona tidak jenuh belum mengandung air secara maksimum. dari uraian tersebut di atas penulis tertarik untuk melakukan penelitian eksperimental yang mengkombinasikan terasering dengana,alat Bell Siphon. Tujuan penelitian ini yaitu Untuk mengetahui pengaruh Bell Siphon dan tanpa menggunakan Bell Siphon terhadap volume resapan pada kemiringan lereng dan Untuk mengetahui pengaruh Bell Siphon dan tanpa menggunakan Bell Siphon terhadap debit resapan pada kemiringan lereng. Metode yang digunakan pada penelitian ini yaitu, instrument model flume (Uji Laboratorium). Dalam penelitian ini digunakan 2 jenis metode yaitu, metode dengan menggunakan Bell Siphon dan metode tanpa menggunakan Bell Siphon. Hasil penelitian menunjukkan bahwa volume air yang meresap yang terjadi pada metode pertama dengan menggunakan Bell Siphon Pada durasi hujan 5 menit debit resapan yang didapat sebesar 0,97 ml/det dengan kemiringan lereng datar, pada durasi hujan 5 menit debit resapan yang didapat 0,6 ml/det dengan kemiringan lereng 150, pada durasi hujan 5 menit debit resapan yang didapat 0,17 ml/det
Building a generalisable ML pipeline at ING
No full textAdvances in data science have caused an increase in the use of Artificial Intelligence (AI), specifically Machine Learning (ML), throughout various fields. Not only in research but in the industry as well, has ML been receiving increasing amounts of interest. Many companies rely on ML models to increase the efficiency of existing processes or offer new services and products. The industry, however, is facing several additional challenges compared to the academic context. One of those challenges is applying the Development Operations (DevOps) model to an ML application, also referred to as MLOps. This thesis sets out to find the specific challenges that practitioners encounter while operationalising ML models. To do so, we perform a single-case case study on an ML pipeline built by the Trade & Communication Surveillance team at the ING bank. This case study consists of conducting a set of interviews and performing a manual code inspection of the pipeline. The team faces challenges ranging from having insufficient time for operationalising each ML project individually to operating in the highlyregulated fintech context. Their pipeline is able to deploy a single ML model but it does not generalise well to other projects. We present the first version of an application that mitigates these challenges. The application is able to deploy ML models to the development environment at ING and can be operated by data scientists to reduce the effort of operationalising an ML model. Computer Science | Software Technolog
Determination of Ascorbic Acid Level in Bell Peppers
No full text<p><strong><span>Abstract</span></strong><em><span> </span></em></p>
<p><em><span>The research work determined the vitamin C levels in green and red bell pepper fruits sold in Kontagora market. The analysis of vitamin C level was done by iodimetry titration method.<span> </span>Vitamin C is required by human body to improve the immune system and can be obtained from the bell peppers. Bell pepper has different colours according to the level of maturity, ranging from green, yellow, orange, and red. Differences in colour also make possible differences in vitamin C content. The results show that vitamin C level in Red bell pepper juice contain more ascorbic acid (1.19mg/ml) than the Green bell pepper (0.33mg/ml), indicating that different stages of bell pepper maturity have different vitamin C levels. Therefore, this research recommends that based on the result and comparison with other literatures, further study should be carried out on the effect of heat on the ascorbic level in bell peppers, the amount of calories in bell peppers and also the amount of ascorbic acid level in yellow bell peppers.</span></em></p>
'Project smells' - Experiences in Analysing the Software Quality of ML Projects with mllint
No full textMachine Learning (ML) projects incur novel challenges in their development and productionisation over traditional software applications, though established principles and best practices in ensuring the project's software quality still apply. While using static analysis to catch code smells has been shown to improve software quality attributes, it is only a small piece of the software quality puzzle, especially in the case of ML projects given their additional challenges and lower degree of Software Engineering (SE) experience in the data scientists that develop them. We introduce the novel concept of project smells which consider deficits in project management as a more holistic perspective on software quality in ML projects. An open-source static analysis tool mllint was also implemented to help detect and mitigate these. Our research evaluates this novel concept of project smells in the industrial context of ING, a global bank and large software- and data-intensive organisation. We also investigate the perceived importance of these project smells for proof-of-concept versus production-ready ML projects, as well as the perceived obstructions and benefits to using static analysis tools such as mllint. Our findings indicate a need for context-aware static analysis tools, that fit the needs of the project at its current stage of development, while requiring minimal configuration effort from the user. Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Software EngineeringSoftware Technolog
Audiomobiles, Sculptures and Conundrums
No full textRoberto Gerhard was a pioneer of electronic music in England creating a number of substantial concert, theatre and radio works from as early as 1954. Gerhard’s electronic music is one of the richest repositories for understanding the development of the composer’s late compositional technique. Apart from the Symphony no.3, ‘Collages’, none of Gerhard’s electronic music is published. This paper will discuss aspects of Gerhard’s electronic music, focusing on Audiomobiles (1958-59) and Sculptures (1963)
Associations between daily mortality in London and combined oxidant capacity, ozone and nitrogen dioxide.
No full textBoth nitrogen dioxide (NO2) and ozone (O3) are powerful oxidants in ambient air that are intimately linked through atmospheric chemistry and which continuously interchange over very short timescales. Based upon atmospheric chemistry alone, there is a strong, a priori, reason for considering O3 and NO2 together in epidemiological studies, rather than either of the two pollutants separately in single-pollutant models. This paper compares two approaches to this, using Ox, defined as O3 + NO2, as a single metric and also using O3 and NO2 together in two-pollutant models. We hypothesised that the magnitude of the association between Ox and daily mortality would be greater than for NO2 and O3 individually. Using collocated hourly measurements for O3 and NO2 in London, from 2000 to 2005, we carried out a time series analysis of daily mortality. We investigated O3, NO2 and Ox individually in single-pollutant Poisson regression models and NO2 and O3 jointly in two-pollutant models in both all-year and season-specific analyses. We observed larger associations for mean 24-h concentrations of Ox (1.30 % increase in mortality per 10 ppb) than for O3 (0.87 %) and NO2 (0 %) individually. However, when analysed jointly in two-pollutant models, associations for O3 (1.54 %) and NO2 (1.07 %) were comparable to the Ox association. Season-specific analyses broadly followed this pattern irrespective of whether the Ox concentrations were driven by O3 production (summer) or depletion (winter). This novel approach in air pollution epidemiology captures the simultaneous impact of both oxidants whilst avoiding many of the statistical issues associated with two-pollutant models and potentially simplifies health impact calculations
- …
