Despite the various hurdles multimodal language models (MLMs) face, their broad applicability outweighs the implementation effort. As MLM technologies advance, they will support additional modalities, new learning and...
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Despite the various hurdles multimodal language models (MLMs) face, their broad applicability outweighs the implementation effort. As MLM technologies advance, they will support additional modalities, new learning and inference methods, and stricter regulations governing privacy and responsible use.
Taking attendance in schools is an important daily activity which is directly related to students' academic performance. Traditional roll-call-based or signature-based approaches for attendance keeping are cumbers...
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ISBN:
(纸本)9783030948221;9783030948214
Taking attendance in schools is an important daily activity which is directly related to students' academic performance. Traditional roll-call-based or signature-based approaches for attendance keeping are cumbersome, time consuming, and susceptible to manual errors and fraudulent maneuvers. With a view to digitalizing the process of taking and maintaining attendance record, in this paper, we present a distributed approach to attendance management using smartphones and cloud computing web services that offer high degree security and scalability. The main objective in developing the proposed attendance management system has been an implementation that does not rely on any dedicated infrastructure, and hence reduces cost as much as possible, enabling a wide range of organizations regardless of size and budgetary constraints to adopt such a system. It goes without saying that such cost reduction is inherently associated with some trade-offs which are also discussed in the paper.
The current state of the Russian Science Citation Index is analyzed. Several areas for its further development identified by long-standing active users, such as data searching, refinement, and storage;current user ale...
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The current state of the Russian Science Citation Index is analyzed. Several areas for its further development identified by long-standing active users, such as data searching, refinement, and storage;current user alerts;data input with the Science Index license;patent information;and the application programming interface (API) are investigated.
The concept of programmable nodes and active networks introduces programmability into communication networks. Code and data can be sent and modified on their ways to destinations. Recently, various research groups hav...
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The concept of programmable nodes and active networks introduces programmability into communication networks. Code and data can be sent and modified on their ways to destinations. Recently, various research groups have designed and implemented their own execution platforms for active networks. Each design has its own benefits and drawbacks. Hence, there exist interoperability problems among them. Therefore in this paper, we introduce a concept that is similar to the socket programming for writing network programs. A set of simple interfaces, the Active Network Socket programming (ANSP), for programming active applications is established. The resulting active applications will be able to work on top of all other execution environments in future. The ANSP offers a concept that is similar to 'write once, run everywhere.' It is an open programming model that active applications can work on all execution environments. It solves the heterogeneity within the active networks. This is especially useful when active applications need to access all regions within a heterogeneous network to deploy special service at critical points or to monitor the performance of the entire networks. Instead of introducing a new platform, our approach provides a thin, transparent layer on top of existing environments that can be easily installed for all active applications. (C) 2003 Elsevier Science B.V. All rights reserved.
Mapping clinical attributes from hospital information systems to standardized terminologies may allow their scientific reuse for multicenter studies. The Unified Medical Language System (UMLS) defines synonyms in diff...
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ISBN:
(纸本)9781643683485;9781643683492
Mapping clinical attributes from hospital information systems to standardized terminologies may allow their scientific reuse for multicenter studies. The Unified Medical Language System (UMLS) defines synonyms in different terminologies, which could be valuable for achieving semantic interoperability between different sites. Here we aim to explore the potential relevance of UMLS concepts and associated semantic relations for widely used clinical terminologies in a German university hospital. To semi-automatically examine a sample of the 200 most frequent codes from Erlangen University Hospital for three relevant terminologies, we implemented a script that queries their UMLS representation and associated mappings via a programminginterface. We found that 94% of frequent diagnostic codes were available in UMLS, and that most of these codes could be mapped to other terminologies such as SNOMED CT. We observed that all examined laboratory codes were represented in UMLS, and that various translations to other languages were available for these concepts. The classification that is most widely used in German hospital for documenting clinical procedures was not originally represented in UMLS, but external mappings to SNOMED CT allowed identifying UMLS entries for 90.5% of frequent codes. Future research could extend this investigation to other code sets and terminologies, or study the potential utility of available mappings for specific applications.
As more industries integrate machine learning into socially sensitive decision processes like hiring, loan-approval, and parole-granting, we are at risk of perpetuating historical and contemporary socioeconomic dispar...
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As more industries integrate machine learning into socially sensitive decision processes like hiring, loan-approval, and parole-granting, we are at risk of perpetuating historical and contemporary socioeconomic disparities. This is a critical problem because on the one hand, organizations who use but do not understand the discriminatory potential of such systems will facilitate the widening of social disparities under the assumption that algorithms are categorically objective. On the other hand, the responsible use of machine learning can help us measure, understand, and mitigate the implicit historical biases in socially sensitive data by expressing implicit decision-making mental models in terms of explicit statistical models. In this article we specify, implement, and evaluate a "fairness-aware" machine learning interface called themis-ml, which is intended for use by individual data scientists and engineers, academic research teams, or larger product teams who use machine learning in production systems.
This work describes HEGEL (High-fidElity tool for maGnEto-gasdynamics simuLations) a high-fidelity and flexible software for hypersonics and plasma simulations. HEGEL is written in object-oriented fashion using modern...
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ISBN:
(数字)9781624107115
ISBN:
(纸本)9781624107115
This work describes HEGEL (High-fidElity tool for maGnEto-gasdynamics simuLations) a high-fidelity and flexible software for hypersonics and plasma simulations. HEGEL is written in object-oriented fashion using modern Fortran 2008, and may be interfaced with other solvers for multi-physics calculations (e.g., plasma wind tunnel). The governing equations are discretized in space based on the cell-centered finite volume method. Time integration may be accomplished using explicit, implicit or implicit-explicit methods. Parallelization is realized through the combined use of MPI and PETSC libraries. For the purpose of a flexible implementation, the solver is designed by minimizing the dependency on the details of the fluid model, a feature which allows for treating calorically perfect gases, combustible mixtures as well as multi-component plasmas under either equilibrium or non-equilibrium conditions within the same tool. application examples are here presented to show the main capabilities of the solver.
This paper is written to honor Rafael T. Haftka's seminal contributions to the field of multidisciplinary design optimization. We focus on those contributions that had a direct impact on our research, namely: the ...
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ISBN:
(数字)9781624105784
ISBN:
(纸本)9781624105784
This paper is written to honor Rafael T. Haftka's seminal contributions to the field of multidisciplinary design optimization. We focus on those contributions that had a direct impact on our research, namely: the adjoint method for computing derivatives, wing aerostructural design optimization, and architectures for multidisciplinary design optimization. For each of these topics, we describe Haftka's contributions, how they impacted our research, and examples of what they enabled us to do. The overarching theme of the contributions and developments described in this paper is the efficient computation of derivatives, which together with gradient-based optimizers enables the optimization with respect to large numbers of design variables, even when using costly high-fidelity models.
The order of execution of computational kernels for Single-Program, Multiple-Data (SPMD) programs is usually determined at compile time. These static predetermined schedules can lead to performance issues at runtime, ...
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ISBN:
(数字)9781624107047
ISBN:
(纸本)9781624107047
The order of execution of computational kernels for Single-Program, Multiple-Data (SPMD) programs is usually determined at compile time. These static predetermined schedules can lead to performance issues at runtime, and are difficult to implement for inhomogeneous situations, such as variable-order or multi-physics applications. It is especially challenging to generate performant schedules when it is unknown whether specific kernels require execution, as a function of user inputs, or the kernel execution time changes dependent on the hardware. This paper presents a solution to this problem by dynamically scheduling computational kernels at runtime using directed acyclic graphs to track the data dependencies between kernels. This system is specifically designed to leverage existing computational infrastructure as much as possible, facilitating the extension to legacy applications. This scheduling system is demonstrated using the eddy high-order multi-physics solver developed at NASA. The details regarding the implementation, our experiences using this system, and performance are discussed.
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