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2016

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Articles 331 - 360 of 2698

Full-Text Articles in Computer Sciences

Vireo @ Trecvid 2016: Multimedia Event Detection, Ad-Hoc Video Search, Video-To-Text Description, Hao Zhang, Yi-Jie Lu, Chong-Wah Ngo Nov 2016

Vireo @ Trecvid 2016: Multimedia Event Detection, Ad-Hoc Video Search, Video-To-Text Description, Hao Zhang, Yi-Jie Lu, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Multimedia events such as “birthday party” usually involve the complex interaction between humans and objects. Unlike actions and sports, these events rarely contain unique motion patterns to be vividly explored for recognition. To encode rich objects in the events, a common practice is to tag an individual video frame with object labels, represented as a vector signifying probabilities of object appearances. These vectors are then pooled across frames to obtain a video-level representation. The current practices suffer from two deficiencies due to the direct employment of deep convolutional neural network (DCNN) and standard feature pooling techniques. First, the use of …

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Message From The Chairs, Andrew Begel, Fabio Calefato, Christoph Treude Nov 2016

Message From The Chairs, Andrew Begel, Fabio Calefato, Christoph Treude

Research Collection School Of Computing and Information Systems

The Workshop on Social Software Engineering (SSE) focuses on the interplay between social computing and software engineering. On one hand, social factors in software engineering activities, processes and tools are essential for improving the quality of development processes and the software produced by them. Examples include the role of situational awareness and multi-cultural factors in collaborative software development. On the other hand, social software mediates people-to-people communication, supporting human choices, actions, and interactions with each other. Social software needs to accommodate a wide range of social concepts, such as trust, governance, reputation, and privacy. Being social, the software would also …

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An Efficient And Expressive Ciphertext-Policy Attribute-Based-Encryption Scheme With Partially Hidden Access Structures, Hui Cui, Deng, Robert H., Guowei Wu, Junzuo Lai Nov 2016

An Efficient And Expressive Ciphertext-Policy Attribute-Based-Encryption Scheme With Partially Hidden Access Structures, Hui Cui, Deng, Robert H., Guowei Wu, Junzuo Lai

Research Collection School Of Computing and Information Systems

A promising solution to protect data privacy in cloud storage services is known as ciphertext-policy attribute-based encryption (CP-ABE). However, in a traditional CP-ABE scheme, a ciphertext is bound with an explicit access structure, which may leak private information about the underlying plaintext in that anyone having access to the ciphertexts can tell the attributes of the privileged recipients by looking at the access structures. A notion called CP-ABE with partially hidden access structures [14, 15, 18, 19, 24] was put forth to address this problem, in which each attribute consists of an attribute name and an attribute value and the …

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Cost Sensitive Online Multiple Kernel Classification, Doyen Sahoo, Peilin Zhao, Steven C. H. Hoi Nov 2016

Cost Sensitive Online Multiple Kernel Classification, Doyen Sahoo, Peilin Zhao, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

Learning from data streams has been an important open research problem in the era of big data analytics. This paper investigates supervised machine learning techniques for mining data streams with application to online anomaly detection. Unlike conventional machine learning tasks, machine learning from data streams for online anomaly detection has several challenges: (i) data arriving sequentially and increasing rapidly, (ii) highly class-imbalanced distributions; and (iii) complex anomaly patterns that could evolve dynamically.To tackle these challenges, we propose a novel Cost-Sensitive Online Multiple Kernel Classification (CSOMKC) scheme for comprehensively mining data streams and demonstrate its application to online anomaly detection. Specifically, …

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Partitioning Uncertain Workloads, Freddy Chua, Bernardo A. Huberman Nov 2016

Partitioning Uncertain Workloads, Freddy Chua, Bernardo A. Huberman

Research Collection School Of Computing and Information Systems

We present a method for determining the ratio of the tasks when breaking any complex workload in such a way that once the outputs from all tasks are joined, their full completion takes less time and exhibit smaller variance than when running on the undivided workload. To do that, we have to infer the capabilities of the processing unit executing the divided workloads or tasks. We propose a Bayesian Inference algorithm to infer the amount of time each task takes in a way that does not require prior knowledge on the processing unit capability. We demonstrate the effectiveness of this …

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Ownership-Hidden Group-Oriented Proofs Of Storage From Pre-Homomorphic Signatures, Yujue Wang, Qianhong Wu, Bo Qin, Xiaofeng Chen, Xinyi Huang, Jungang Lou Nov 2016

Ownership-Hidden Group-Oriented Proofs Of Storage From Pre-Homomorphic Signatures, Yujue Wang, Qianhong Wu, Bo Qin, Xiaofeng Chen, Xinyi Huang, Jungang Lou

Research Collection School Of Computing and Information Systems

In this paper, we study the problem of secure cloud storage in a multi-user setting such that the ownership of outsourced files can be hidden against the cloud server. There is a group manager for initiating the system, who is also responsible for issuing private keys for the involved group members. All authorized members are able to outsource files to the group’s storage account at some cloud server. Although the ownership of outsourced file is preserved against the cloud server, the group manager could trace the true identity of any suspicious file for liability investigation. To address this issue, we …

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Summarization Of Egocentric Videos: A Comprehensive Survey, Ana Garcia Del Molino, Cheston Tan, Joo-Hwee Lim, Ah-Hwee Tan Nov 2016

Summarization Of Egocentric Videos: A Comprehensive Survey, Ana Garcia Del Molino, Cheston Tan, Joo-Hwee Lim, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

The introduction of wearable video cameras (e.g., GoPro) in the consumer market has promoted video life-logging, motivating users to generate large amounts of video data. This increasing flow of first-person video has led to a growing need for automatic video summarization adapted to the characteristics and applications of egocentric video. With this paper, we provide the first comprehensive survey of the techniques used specifically to summarize egocentric videos. We present a framework for first-person view summarization and compare the segmentation methods and selection algorithms used by the related work in the literature. Next, we describe the existing egocentric video datasets …

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A Decomposition Method For Estimating Recursive Logit Based Route Choice Models, Tien Mai, Fabian Bastin, Emma Frejinger Nov 2016

A Decomposition Method For Estimating Recursive Logit Based Route Choice Models, Tien Mai, Fabian Bastin, Emma Frejinger

Research Collection School Of Computing and Information Systems

Fosgerau et al. (2013) recently proposed the recursive logit (RL) model for route choice problems, that can be consistently estimated and easily used for prediction without any sampling of choice sets. Its estimation however requires solving many large-scale systems of linear equations, which can be computationally costly for real data sets. We design a decomposition (DeC) method in order to reduce the number of linear systems to be solved, opening the possibility to estimate more complex RL based models, for instance mixed RL models. We test the performance of the DeC method by estimating the RL model on two networks …

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M(2)-Abks: Attribute-Based Multi-Keyword Search Over Encrypted Personal Health Records In Multi-Owner Setting, Yinbin Miao, Jianfeng Ma, Ximeng Liu, Fushan Wei, Zhiquan Liu, Xu An Wang Nov 2016

M(2)-Abks: Attribute-Based Multi-Keyword Search Over Encrypted Personal Health Records In Multi-Owner Setting, Yinbin Miao, Jianfeng Ma, Ximeng Liu, Fushan Wei, Zhiquan Liu, Xu An Wang

Research Collection School Of Computing and Information Systems

Online personal health record (PHR) is more inclined to shift data storage and search operations to cloud server so as to enjoy the elastic resources and lessen computational burden in cloud storage. As multiple patients' data is always stored in the cloud server simultaneously, it is a challenge to guarantee the confidentiality of PHR data and allow data users to search encrypted data in an efficient and privacy-preserving way. To this end, we design a secure cryptographic primitive called as attribute-based multi-keyword search over encrypted personal health records in multi-owner setting to support both fine-grained access control and multi-keyword search …

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A Provably Secure Aggregate Signature Scheme For Healthcare Wireless Sensor Networks, Limin Shen, Jianfeng Ma, Ximeng Liu, Meixia Miao Nov 2016

A Provably Secure Aggregate Signature Scheme For Healthcare Wireless Sensor Networks, Limin Shen, Jianfeng Ma, Ximeng Liu, Meixia Miao

Research Collection School Of Computing and Information Systems

Wireless sensor networks (WSNs) are being used in a wide range of applications for healthcare monitoring, like heart rate monitors and blood pressure monitors, which can minimize the need for healthcare professionals. In medical system, sensors on or in patients produce medical data which can be easily compromised by a vast of attacks. Although signature schemes can protect data authenticity and data integrity, when the number of users involved in the medical system becomes huge, the bandwidth and storage cost will rise sharply so that existing signature schemes are inapplicability for WSNs. In this paper, we propose an efficient aggregate …

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A Study On A Feasible No-Root Approach On Android, Yao Cheng, Yingjiu Li, Deng, Robert H., Lingyun Ying, Wei He Nov 2016

A Study On A Feasible No-Root Approach On Android, Yao Cheng, Yingjiu Li, Deng, Robert H., Lingyun Ying, Wei He

Research Collection School Of Computing and Information Systems

Root is the administrative privilege on Android, which is however inaccessible on stock Android devices. Due to the desire for privileged functionalities and the reluctance of rooting their devices, Android users seek for no-root approaches, which provide users with part of root privileges without rooting their devices. Existing no-root approaches require users to launch a separate service via Android Debug Bridge (ADB) on an Android device, which would perform user-desired tasks. However, it is unusual for a third-party Android application to work with a separate native service via sockets, and it requires the application developers to have extra knowledge such …

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Determining The Interruption Of Services While Performing V2i Communication Using The Spmd Prototype, Binaya Raj Joshi Nov 2016

Determining The Interruption Of Services While Performing V2i Communication Using The Spmd Prototype, Binaya Raj Joshi

Student Work

The use of Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I), Vehicle to Roadside Unit (V2R) and Vehicle to Other (V2X) communications are increasingly applied over existing and upcoming transportation means by the United States Department of Transportation (USDOT) and other federal agencies. From previous statistical data, these technologies would primarily avoid or mitigate vehicle crashes and would provide more safety, mobility and various other benefits on the roads (“Traffic Safety Facts 2012,” 2013; “Traffic Safety Facts 2013” 2014). During the communication processes between vehicles, infrastructures and roadside units’ various sensitive data such as positions and speed of the vehicles, …

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Scaling Bdd-Based Timed Verification With Simulation Reduction, Truong Khanh Nguyen, Tian Huat Tan, Jun Sun, Jiaying Li, Yang Liu, Manman Chen, Jin Song Dong Nov 2016

Scaling Bdd-Based Timed Verification With Simulation Reduction, Truong Khanh Nguyen, Tian Huat Tan, Jun Sun, Jiaying Li, Yang Liu, Manman Chen, Jin Song Dong

Research Collection School Of Computing and Information Systems

Digitization is a technique that has been widely used in real-time model checking. With the assumption of digital clocks, symbolic model checking techniques (like those based on BDDs) can be applied for real-time systems. The problem of model checking real-time systems based on digitization is that the number of tick transitions increases rapidly with the increment of clock upper bounds. In this paper, we propose to improve BDD-based verification for real-time systems using simulation reduction. We show that simulation reduction allows us to verify timed automata with large clock upper bounds and to converge faster to the fixpoint. The presented …

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Designing Minimal Effective Normative Systems With The Help Of Lightweight Formal Methods, Jianye Hao, Eunsuk Kang, Jun Sun, Daniel Jackson Nov 2016

Designing Minimal Effective Normative Systems With The Help Of Lightweight Formal Methods, Jianye Hao, Eunsuk Kang, Jun Sun, Daniel Jackson

Research Collection School Of Computing and Information Systems

Normative systems are an important approach to achieving effective coordination among (often an arbitrary number of) agents in multiagent systems. A normative system should be effective in ensuring the satisfaction of a desirable system property, and minimal (i.e., not containing norms that unnecessarily over-constrain the behaviors of agents). Designing or even automatically synthesizing minimal effective normative systems is highly non-trivial. Previous attempts on synthesizing such systems through simulations often fail to generate normative systems which are both minimal and effective. In this work, we propose a framework that facilitates designing of minimal effective normative systems using lightweight formal methods. Given …

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Proteus: Computing Disjunctive Loop Summary Via Path Dependency Analysis, Xiaofei Xie, Bihuan Chen, Yang Liu, Wei Le, Xiaohong Li Nov 2016

Proteus: Computing Disjunctive Loop Summary Via Path Dependency Analysis, Xiaofei Xie, Bihuan Chen, Yang Liu, Wei Le, Xiaohong Li

Research Collection School Of Computing and Information Systems

Loops are challenging structures for program analysis, especially when loops contain multiple paths with complex interleaving executions among these paths. In this paper, we first propose a classification of multi-path loops to understand the complexity of the loop execution, which is based on the variable updates on the loop conditions and the execution order of the loop paths. Secondly, we propose a loop analysis framework, named Proteus, which takes a loop program and a set of variables of interest as inputs and summarizes path-sensitive loop effects on the variables. The key contribution is to use a path dependency automaton (PDA) …

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Landmark Reranking For Smart Travel Guide Systems By Combining And Analyzing Diverse Media, Junge Shen, Jialie Shen, Tao Mei, Xinbo Gao Nov 2016

Landmark Reranking For Smart Travel Guide Systems By Combining And Analyzing Diverse Media, Junge Shen, Jialie Shen, Tao Mei, Xinbo Gao

Research Collection School Of Computing and Information Systems

Advanced networking technologies and massive online social media have stimulated a booming growth of travel heterogeneous information in recent years. By employing such information, smart travel guide systems, such as landmark ranking systems, have been proposed to offer diverse online travel services. It is essential for a landmark ranking system to structure, analyze, and search the travel heterogeneous information to produce human-expected results. Therefore, currently the most fundamental yet challenging problems can be concluded: 1) how to fuse heterogeneous tourism information and 2) how to model landmark ranking. In this paper, a novel landmark search system is introduced based on …

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Efficient Tag Path Authentication Protocol With Less Tag Memory, Hongbing Wang, Yingjiu Li, Zongyang Zhang, Yunlei Zhao Nov 2016

Efficient Tag Path Authentication Protocol With Less Tag Memory, Hongbing Wang, Yingjiu Li, Zongyang Zhang, Yunlei Zhao

Research Collection School Of Computing and Information Systems

Logistical management has been advanced rapidly in these years, taking advantage of the broad connectivity of the Internet. As it becomes an important part of our lives, it also raises many challenging issues, e.g., the counterfeits of expensive goods pose a serious threat to supply chain management. As a result, path authentication becomes especially important in supply chain management, since it helps us maintain object pedigree and supply chain integrity. Meanwhile, tag path authentication must meet a series of security requirements, such as authentication, privacy, and unlinkability. In addition, the authentication protocol must be efficient.In 2011, the first tag path …

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A Novel Covert Channel Detection Method In Cloud Based On Xsrm And Improved Event Association Algorithm, Lina Wang, Weijie Liu, Neeraj Kumar, Debiao He, Cheng Tan, Debin Gao Nov 2016

A Novel Covert Channel Detection Method In Cloud Based On Xsrm And Improved Event Association Algorithm, Lina Wang, Weijie Liu, Neeraj Kumar, Debiao He, Cheng Tan, Debin Gao

Research Collection School Of Computing and Information Systems

Covert channel is a major threat to the information system security and commonly found in operating systems, especially in cloud computing environment. Owing to the characteristics in cloud computing environment such as resources sharing and logic boundaries, covert channels become more varied and difficult to find. Focusing on those problems, this paper presents a universal method for detecting covert channel automatically. To achieve a global detection, we leveraged a virtual machine event record mechanism in hypervisor to gather necessary metadata. Combining the shared resources matrix methodology with events association mechanism, we proposed a distinctive algorithm that can accurately locate and …

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Grab Taxi: Navigating New Frontiers, Mei Lin, Christopher Dula Nov 2016

Grab Taxi: Navigating New Frontiers, Mei Lin, Christopher Dula

Research Collection School Of Computing and Information Systems

In mid-2016, Anthony Tan, the CEO of Grab, an on-demand transportation-app company serving Southeast Asia, was locked in a high stakes struggle to win the hearts and minds of drivers, passengers and regulators alike. Valued at an estimated US$1.5 billion, Grab (known among consumers as ‘GrabTaxi’) had become one of Asia’s most successful start-ups.

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Learning Sentence Embeddings With Auxiliary Tasks For Cross-Domain Sentiment Classification, Jianfei Yu, Jing Jiang Nov 2016

Learning Sentence Embeddings With Auxiliary Tasks For Cross-Domain Sentiment Classification, Jianfei Yu, Jing Jiang

Research Collection School Of Computing and Information Systems

In this paper, we study cross-domain sentiment classification with neural network architectures. We borrow the idea from Structural Correspondence Learning and use two auxiliary tasks to help induce a sentence embedding that supposedly works well across domains for sentiment classification. We also propose to jointly learn this sentence embedding together with the sentiment classifier itself. Experiment results demonstrate that our proposed joint model outperforms several state-of-the-art methods on five benchmark datasets.

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Editorial: Trust Management For Multimedia Big Data, Zheng Yan, Jun Liu, Deng, Robert H., Francisco Herrera Nov 2016

Editorial: Trust Management For Multimedia Big Data, Zheng Yan, Jun Liu, Deng, Robert H., Francisco Herrera

Research Collection School Of Computing and Information Systems

No abstract provided.

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An Efficient Privacy-Preserving Outsourced Calculation Toolkit With Multiple Keys, Ximeng Liu, Robert H. Deng, Kim-Kwang Raymond Choo, Jian Weng Nov 2016

An Efficient Privacy-Preserving Outsourced Calculation Toolkit With Multiple Keys, Ximeng Liu, Robert H. Deng, Kim-Kwang Raymond Choo, Jian Weng

Research Collection School Of Computing and Information Systems

In this paper, we propose a toolkit for efficient and privacy-preserving outsourced calculation under multiple encrypted keys (EPOM). Using EPOM, a large scale of users can securely outsource their data to a cloud server for storage. Moreover, encrypted data belonging to multiple users can be processed without compromising on the security of the individual user's (original) data and the final computed results. To reduce the associated key management cost and private key exposure risk in EPOM, we present a distributed two-trapdoor public-key cryptosystem, the core cryptographic primitive. We also present the toolkit to ensure that the commonly used integer operations …

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What Permissions Should This Android App Request?, Lingfeng Bao, David Lo, Xin Xia, Shanping Li Nov 2016

What Permissions Should This Android App Request?, Lingfeng Bao, David Lo, Xin Xia, Shanping Li

Research Collection School Of Computing and Information Systems

As Android is one of the most popular open source mobile platforms, ensuring security and privacy of Android applications is very important. Android provides a permission mechanism which requires developers to declare sensitive resources their applications need, and users need to agree with this request when they install (for Android API level 22 or lower) or run (for Android API level 23) these applications. Although Android provides very good official documents to explain how to properly use permissions, unfortunately misuses even for the most popular permissions have been reported. Recently, Karim et al. propose an association rule mining based approach …

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Spiteful, One-Off, And Kind: Predicting Customer Feedback Behavior On Twitter, Agus Sulistya, Abhishek Sharma, David Lo Nov 2016

Spiteful, One-Off, And Kind: Predicting Customer Feedback Behavior On Twitter, Agus Sulistya, Abhishek Sharma, David Lo

Research Collection School Of Computing and Information Systems

Social media provides a convenient way for customers to express their feedback to companies. Identifying different types of customers based on their feedback behavior can help companies to maintain their customers. In this paper, we use a machine learning approach to predict a customer’s feedback behavior based on her first feedback tweet. First, we identify a few categories of customers based on their feedback frequency and the sentiment of the feedback. We identify three main categories: spiteful, one-off, and kind. Next, we build a model to predict the category of a customer given her first feedback. We use profile and …

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How To Break An Api: Cost Negotiation And Community Values In Three Software Ecosystems, Christopher Bogart, Christian K\303\244stner, James Herbsleb, Ferdian Thung Nov 2016

How To Break An Api: Cost Negotiation And Community Values In Three Software Ecosystems, Christopher Bogart, Christian K\303\244stner, James Herbsleb, Ferdian Thung

Research Collection School Of Computing and Information Systems

Change introduces conict into software ecosystems: breaking changes may ripple through the ecosystem and trigger rework for users of a package, but often developers can invest additional effort or accept opportunity costs to alleviate or delay downstream costs. We performed a multiple case study of three software ecosystems with different tooling and philosophies toward change, Eclipse, R/CRAN, and Node.js/npm, to understand how developers make decisions about change and change-related costs and what practices, tooling, and policies are used. We found that all three ecosystems differ substantially in their practices and expectations toward change and that those differences can be explained …

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Virtual Values For Taint And Information Flow Analysis, Prakasam Kannan, Thomas Austin, Mark Stamp, Tim Disney, Cormac Flanagan Oct 2016

Virtual Values For Taint And Information Flow Analysis, Prakasam Kannan, Thomas Austin, Mark Stamp, Tim Disney, Cormac Flanagan

Faculty Publications, Computer Science

Security controls such as taint analysis and information flow analysis can be powerful tools to protect against many common attacks. However, incorporating these controls into a language such as JavaScript is challenging. Native implementations require the support of all JavaScript VMs. Code rewriting requires developers to reason about the entire abstract syntax of JavaScript. In this paper, we demonstrate how virtual values may be used to more easily integrate these security controls. Virtual values provide hooks to alter the behavior of primitive operations, allowing programmers to create the desired security controls in a more declarative fashion, facilitating more rapid prototyping. …

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A Method For Revealing And Addressing Security Vulnerabilities In Cyber-Physical Systems By Modeling Malicious Agent Interactions With Formal Verification, Dean C. Wardell, Robert F. Mills, Gilbert L. Peterson, Mark E. Oxley Oct 2016

A Method For Revealing And Addressing Security Vulnerabilities In Cyber-Physical Systems By Modeling Malicious Agent Interactions With Formal Verification, Dean C. Wardell, Robert F. Mills, Gilbert L. Peterson, Mark E. Oxley

Faculty Publications

Several cyber-attacks on the cyber-physical systems (CPS) that monitor and control critical infrastructure were publically announced over the last few years. Almost without exception, the proposed security solutions focus on preventing unauthorized access to the industrial control systems (ICS) at various levels – the defense in depth approach. While useful, it does not address the problem of making the systems more capable of responding to the malicious actions of an attacker once they have gained access to the system. The first step in making an ICS more resilient to an attacker is identifying the cyber security vulnerabilities the attacker can …

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Why Consumers Disclose Their Tourism Experiences On Tourism Social Networking Sites: Multiple Theoretical Perspectives, Junshu Zhang Oct 2016

Why Consumers Disclose Their Tourism Experiences On Tourism Social Networking Sites: Multiple Theoretical Perspectives, Junshu Zhang

USF Tampa Graduate Theses and Dissertations

Tourism social networking sites (SNSs) are websites that provide users with templates for describing their travel experiences and an infrastructure to share such travel posts with a network of like-minded individuals. Tourism SNSs represent an important advertising channel for the tourism industry, as they may assist travelers in selecting destinations and planning vacations on the basis of other travelers’ experiences, which may further stimulate travel and generate income for the tourism industry (Yazdanifard & Yee, 2014). User-generated content (UGC) in the form of travel posts is the core offering and key success factor of tourism SNSs. Travel posts constitute a …

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Threats To Information Protection - Industry And Academic Perspectives: An Annotated Bibliography, Michael E. Whitman, Herbert J. Mattord Oct 2016

Threats To Information Protection - Industry And Academic Perspectives: An Annotated Bibliography, Michael E. Whitman, Herbert J. Mattord

KSU Proceedings on Cybersecurity Education, Research and Practice

Threats to information assets have always been a concern to those responsible for making information useful and defending its value. The concepts of threat, threat agent, threat events and threat sources have evolved in recent years have very precise definitions. The article includes a summary of threat classification models used in academic research is provided along with a summary of recent industry threat assessment reports. Finally, the article shares results from a recent study, 2015 SEC/CISE Threats to Information Protection Report Including a Current Snapshot of the State of the Industry, are given.

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Introduction To Ships Satellite Tracking Systems, Dimov Stojce Ilcev Oct 2016

Introduction To Ships Satellite Tracking Systems, Dimov Stojce Ilcev

UBT International Conference

This paper introduces the current and new Satellite solutions for local and global tracking of ships for enhanced Ship Traffic Control (STC) and Ship Traffic Management (STM) at sea, in sea passages, approaching to the anchorages and inside of seaports. All transportation systems and especially for maritime applications require far more sophisticated technology solutions and equipment for modern Satellite ship tracking than current standalone the US GPS or Russian GLONAS positioning systems. The existing and forthcoming Global Ship Tracking (GST), Satellite Data Link (SDL) and Local Ship Tracking (LST) systems with Space and Ground Segment infrastructures for all three systems …

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