Yes / Galaxy (https://galaxyproject.org) is deployed globally, predominantly through free-to-use services, supporting user-driven research that broadens in scope each year. Users are attracted to public Galaxy services by platform stability, tool and reference dataset diversity, training, support and integration, which enables complex, reproducible, shareable data analysis. Applying the principles of user experience design (UXD), has driven improvements in accessibility, tool discoverability through Galaxy Labs/subdomains, and a redesigned Galaxy ToolShed. Galaxy tool capabilities are progressing in two strategic directions: integrating general purpose graphical processing units (GPGPU) access for cutting-edge methods, and licensed tool support. Engagement with global research consortia is being increased by developing more workflows in Galaxy and by resourcing the public Galaxy services to run them. The Galaxy Training Network (GTN) portfolio has grown in both size, and accessibility, through learning paths and direct integration with Galaxy tools that feature in training courses. Code development continues in line with the Galaxy Project roadmap, with improvements to job scheduling and the user interface. Environmental impact assessment is also helping engage users and developers, reminding them of their role in sustainability, by displaying estimated CO2 emissions generated by each Galaxy job. / NIH [U41 HG006620, U24 HG010263, U24 CA231877, U01 CA253481]; US National Science Foundation [1661497, 1758800, 2216612]; computational resources are provided by the Advanced Cyberinfrastructure Coordination Ecosystem (ACCESS-CI), Texas Advanced Computing Center, and the JetStream2 scientific cloud. Funding for open access charge: NIH. ELIXIR IS and Travel grants; EU Horizon Europe [HORIZON-INFRA-2021-EOSC-01-04, 101057388]; EU Horizon Europe under the Biodiversity, Circular Economy and Environment program (REA.B.3, BGE 101059492); German Federal Ministry of Education and Research, BMBF [031 A538A de.NBI-RBC]; Ministry of Science, Research and the Arts Baden-Württemberg (MWK) within the framework of LIBIS/de.NBI Freiburg. Galaxy Australia is supported by the Australian BioCommons which is funded through Australian Government NCRIS investments from Bioplatforms Australia and the Australian Research Data Commons, as well as investment from the Queensland Government RICF program. / Please note, contributors are listed in alphabetical order.

Mobile phones have become a necessity that is used by people everyday. Enterprise wants to take advantage of this new channel to deliver their advertising messages to the consumer, while the consumers are interested in obtaining new product information. A mobile advertisement platform can bring the enterprise advertiser and the consumer needs together. The main purpose of this research is to explore the current status of mobile advertisement platform and how this kind of platform can be designed. The study includes several major parts: (1) review of literature related to mobile advertising platforms, (2) adopt design science method to analyze system requirements and design a prototype system, (3) use experts to review the system and provide suggestions for improvement. The course of planning and prototype development in a case company are described and evaluated by a group of experts. The contributions of this research are as follows: 1. Understand the current status of mobile advertising to help managers and system developers if they are interested in building such a system. 2. Explore feasible platform implementation through a real prototype development in our case company to show the value and potential of such a platform.

Self-driving cars used to be a concept of a future society. However, through years of research, testing, and dedication they are becoming a modern day reality. To further expand research and testing capabilities in the field of autonomous vehicles, an Autonomous Vehicle Research Platform (AVRP) can be developed. The purpose of an AVRP is to provide researchers with an autonomous ground vehicle testing platform they can outfit with sensors and equipment to meet their specific research needs. The platform will give researchers the capabilities to test algorithms, new sensors, navigation, new technologies, etc. that they believe would help advance autonomous vehicles. When their testing is done, their equipment can be removed so the next researcher can utilize the platform. The scope of this thesis is to develop the operational specifications for an AVRP that can operate at level 4 autonomy. These specifications include navigation and sensing hardware, such as LIDAR, radar, ultrasonic, cameras, and important specifications that pertain to using each, as well as a review of optimal mounting locations. It will also present benchmarks for computing, design specs for power and communication buses, and modifications for universal mounting racks. / Master of Science / A world with self-driving cars may not be as far as we think. Many ground vehicles now a days already have some sort of driver assist system(s) to aid the driver in everyday driving. Examples of these systems include cruise control that adjusts its speed to leading vehicles, or lane detection with steering assist to help keep the vehicle in its lane when the driver is briefly distracted. These smaller systems are far from allowing the vehicle to drive itself, but they do act as a small stepping stone toward fully autonomous vehicles. To further the research and exploration in the world of autonomous ground vehicles, it can be very beneficial to have a single test vehicle that can meet a variety of research needs. This is where an Autonomous Vehicle Research Platform (AVRP) would come in handy. The main goal behind an AVRP is to give researchers the ability to outfit an autonomous research platform with hardware and testing equipment they deem necessary for their research. When the researcher has completed their testing, they remove their added equipment to restore the platform to its base form for the next researcher to use. The scope of this thesis is to develop the operating specifications for an AVRP. This includes types of sensors for understanding the surrounding environment, and their optimal mounting locations, and hardware for positioning and navigating within that environment. It also discusses power estimation for powering the needed hardware and systems, computing benchmarks from other autonomous research platforms, and a communication structure for the AVRP.

京都大学 / 新制・課程博士 / 博士(経済学) / 甲第24163号 / 経博第657号 / 新制||経||302(附属図書館) / 京都大学大学院経済学研究科経済学専攻 / (主査)教授 COLPAN Meziyet Asli, 准教授 WANG Tao, 教授 関口 倫紀 / 学位規則第4条第1項該当 / Doctor of Economics / Kyoto University / DGAM

No description available.

No description available.

Digital Me is a platform for parents, teachers, and any adult that considers him/herself as an educator or a role model of the digital natives. In it they can find tools to empower and support them when bringing up pre-teens that are about to start, or have already started the process of exploration in the search of self-identity.

On mobile platforms such as iOS and Android, Web browsers such as Google Chrome, and even smart televisions such as Google TV or Roku, hundreds of thousands of software apps provide services to users. Their functionality often requires access to potentially sensitive user data (e.g., contact lists, passwords, photos), sensor inputs (e.g., camera, microphone, GPS), and/or information about user behavior. Most apps use this data responsibly, but there has also been evidence of privacy violations. As a result, individuals must carefully consider what apps to install and corporations often restrict what apps employees can install on their devices, to prevent an untrusted app—or a cloud provider that an app communicates with—from leaking personal data and proprietary information. There is an inherent trade-off between users’ privacy and apps’ functionality. An app with no access to user data cannot leak anything sensitive, but many apps cannot function without such data. A password management app needs access to passwords, an audio transcription app needs access to the recordings of users’ speech, and a navigation app needs users’ location. In this dissertation, we present two app platform designs, πBox and CleanRoom, that strike a useful balance between users’ privacy and apps’ functional needs, thus shifting much of the responsibility for protecting privacy from the app and its users to the platform itself. πBox is a new app platform that prevents apps from misusing information about their users. To achieve this, πBox deploys (1) a sandbox that spans the user’s device and the cloud, (2) specialized storage and communication channels that enable common app functionality, and (3) an adaptation of recent theoretical algorithms for differential privacy under continual observation. We describe a prototype implementation of πBox and show how it enables a wide range of useful apps with minimal performance overhead and without sacrificing user privacy. In particular, πBox develops the aforementioned three techniques under the assumption of limited sharing of personal data. CleanRoom extends πBox and is designed to protect confidentiality in a "Bring Your Own Apps" (BYOA) world in which employees use their own untrusted third-party apps to create, edit, and share corporate data. CleanRoom’s core guarantee is privacy-preserving collaboration: CleanRoom enables employees to work together on shared documents while ensuring that the documents’ owners—not the app accessing the document—control who can access and collaborate on the document. To achieve this guarantee, CleanRoom partitions an app into three parts, each of which implements a different function of the app (data navigation, data manipulation, and app settings), and controls communication between these parts. We show that CleanRoom accommodates a broad range of apps, preserves the confidentiality of the data that these apps access, and incurs insignificant overhead (e.g., 0.11 ms of overhead per client-server request). Both πBox and CleanRoom use differential privacy for apps to provide feedback to their publisher. This dissertation explores how to adapt differential privacy to be useful for app platforms. In particular, we investigate an adaptation of re- cent theoretical algorithms for differential privacy under continual observation and several techniques to leverage it for useful features in an app environment including advertising, app performance feedback, and error reporting. / text

The performance of offshore process equipment on floating production platforms may be reduced through imposed sea motion. Fluid sloshing inside primary separators and non-segregated storage tanks may lead to oil/water mixing. The aim of previous work into sloshing has been to prevent damage to LNG tankers and increase the stability of space rockets. Work into oil/water sloshing appears limited. A computer controlled motion simulator was developed to conduct experiments with two rectangular vessels filled with air, refined oil and water. Two single sinusoidal forcing motions were applied, pitch and surge at various amplitudes and periods. Additional experiments were conducted with combined forcing motions pitch/roll and pitch/surge. Air/water interface profiles were measured and analysed using a computer based data logging and processing system. Air/oil and oil/water profiles were recorded using high speed video equipment. Also studied were the effect of baffles in reducing interface amplitude and the effect of forcing on oil/water transfer. A linear theory was derived to predict natural frequencies of three fluid systems and a numerical model was developed to predict near resonant behaviour. Air/water experiments and numerical model showed a coupling of natural and forcing frequencies in the free surface frequency spectrum. Favourable comparisons were also seen between the numerical model and oil/water experiments. Additional experiments indicated that oil/water mixing is promoted by resonant forcing in an unbaffled vessel. The presence of baffles reduces interfacial breakup and hence reduces oil content of water.

No description available.