Index Catalog // ScholarsArchive@OSU

Towards Direct Simultaneous Speech Translation

Creator:: Chen, Junkun
Abstract:: Simultaneous speech translation (SimulST) is widely useful in many cross-lingual communication scenarios, including multinational conferences and international traveling. Since text-based simultaneous machine translation (SimulMT) has achieved great success in recent years. The conventional cascaded approach for SimulST uses a pipeline of streaming ASR followed by simultaneous MT but suffers from...
Resource Type:: Dissertation
Full Text:: communica- tion scenarios, including multinational conferences and international traveling. Since text

The commentator information system : understanding journalists' needs to overcome cognitive load and navigation issues

Creator:: Midy, Marie-Anne
Abstract:: Nowadays, sports events are a significant part of the every-day entertainment with local, national, and international championships. A lot of money is invested by broadcasting companies to attract new and more viewers, acquire broadcasting rights, or send entire crews on site to cover such events. Journalists are among the few...
Resource Type:: Masters Thesis
Full Text:: entertainment with local, national, and international championships. A lot of money is invested by

Improving GPGPU NoC Performance with Memory Controller Placement Awareness

Creator:: Kollipara, Lakshman Madhav
Abstract:: General-purpose Graphics Processing Units (GPGPUs) have become a critical component in high-performance computing (HPC) systems in executing modern computational workloads. The high thread level parallelism (TLP) and programmable shader cores allow thousands of threads to execute in Parallel. The fast-scaling of GPGPUs have increased the demand for performance optimizations on...
Resource Type:: Capstone Project
Full Text:: accelerators." Proceedings of the 2010 43rd annual IEEE/ACM international symposium on microarchitecture

The Evolution of Software Entropy in Open Source projects: An Empirical Study

Creator:: Mannan, Umme Ayda
Abstract:: Software entropy impacts the overall quality of software systems. High entropy hinders developers from understanding the purpose of a piece of code and can cause developers to make sub-optimal changes and introduce bugs. Researchers have used entropy scores to measure the naturalness of code. However, thus far, no one has...
Resource Type:: Technical Report
Full Text:: . In Empirical Software Engineering and Measurement (ESEM), 2015 ACM/IEEE International Symposium on

Improving the Quality of Software Using Mutation Testing and Fault Prediction

Creator:: Ahmed, Iftekhar
Abstract:: Our confidence in software systems depends on our confidence in the exhaustiveness of our testing. As software systems get more complex, the task of exhaustive testing becomes more complex and even infeasible in some cases. In order to build less error prone systems, we therefore need to not only focus...
Resource Type:: Dissertation
Full Text:: 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering (pp. 547-558

Identifying and Removing On-chip Network Bottleneck in Throughput Processors

Creator:: Li, Yunfan
Abstract:: The high level of parallelism in throughput processors such as GPGPUs has resulted in significantly changed on-chip data traffic behaviors. This demands new research to identify and address the limiting factors of networks-on-chip (NoCs) in the context of throughput processors. In this work, we ﬁrst quantitatively analyze the performance of...
Resource Type:: Masters Thesis

Predicting and Improving Throughput, Responsiveness and Battery Life of Computer Systems by Machine Learning

Creator:: Li, Yunfan
Abstract:: The Machine Learning (ML) algorithms are increasingly explored in varies of fields including designing and optimizing computer systems. Recent research, such as optimizing memory/cache prefetching by ML training or predicting traffic pattern in throughput processors, also exhibits a promising future of introducing ML into computer system design and optimization. Throughput...
Resource Type:: Dissertation

Poisoning machine learning models to increase membership inference risks

Creator:: Le, Hoang
Abstract:: Deep learning is now being utilized widely in applications where sensitive data is being used for model training, for example, in health care. In this scenario, any data leakage will cause privacy concerns to whose data records are used to train the model. An attacker can actively cause privacy leakage...
Resource Type:: Masters Thesis
Full Text:: 29th International Coference on International Conference on Machine Learning, pages 1467–1474, 2012

Newcomers’ Barriers. . . Is That All? An Analysis of Mentors’ and Newcomers’ Barriers in OSS Projects

Creator:: Balali, Sogol
Abstract:: Newcomers’ seamless onboarding is important for open collaboration communi- ties, particularly those that leverage outsiders’ contributions to remain sustainable. Nevertheless, previous work shows that OSS newcomers often face several barriers to contribute, which lead them to lose motivation and even give up on contributing. A well-known way to help newcomers...
Resource Type:: Masters Thesis

Understanding Software-2.0: A Study of Machine Learning library usage and evolution

Creator:: Dilhara, Malinda, Ketkar, Ameya, and Dig, Danny
Abstract:: Enabled by a rich ecosystem of Machine Learning (ML) libraries, programming using learned models, i.e., Software-2.0, has gained substantial adoption. However, we do not know what challenges developers encounter when they use ML libraries. With this knowledge gap, researchers miss opportunities to contribute to new research directions, tool builders do...
Resource Type:: Research Paper

ScholarsArchive@OSU

Towards Direct Simultaneous Speech Translation

The commentator information system : understanding journalists' needs to overcome cognitive load and navigation issues

Improving GPGPU NoC Performance with Memory Controller Placement Awareness

The Evolution of Software Entropy in Open Source projects: An Empirical Study

Improving the Quality of Software Using Mutation Testing and Fault Prediction

Identifying and Removing On-chip Network Bottleneck in Throughput Processors

Predicting and Improving Throughput, Responsiveness and Battery Life of Computer Systems by Machine Learning

Poisoning machine learning models to increase membership inference risks

Newcomers’ Barriers. . . Is That All? An Analysis of Mentors’ and Newcomers’ Barriers in OSS Projects

Understanding Software-2.0: A Study of Machine Learning library usage and evolution

Limit your search

Academic Affiliation

Advisor

Commencement Year

Committee Member

Conference Name

Creator

Contributor

Date

Decade

Degree Field

Degree Level

Degree Name

File Format

Language

License

Non-Academic Affiliation

Peer Reviewed

Resource Type

Rights Statement

Subject

Search Constraints

Search Results

Limit your search