From sockets and RMI to web services

Holliday, Mark A.; Houston, J. Traynham; Jones, Eleanor

doi:10.1145/1352135.1352221

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…The network programming techniques in a computer networking course addresses sockets, remote procedure call, and object-oriented remote procedure call. Web services appear to meet the need to standardize communication between different platforms and programming languages [19].…”

Section: Connections To the Coordinate Measurement Systemmentioning

confidence: 99%

Visual Localisation of Mobile Devices in an Indoor Environment Under Network Delay Conditions

Fernández¹,

Fres²,

Alonso³

2011

IJDPS

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Current progresses in home automation and service robotic environment have highlighted the need to develop interoperability mechanisms that allow a standard communication between the two systems. During the development of the DHCompliant protocol, the problem of locating mobile devices in an indoor environment has been investigated. The communication of the device with the location service has been carried out to study the time delay that web services offer in front of the sockets. The importance of obtaining data from real-time location systems portends that a basic tool for interoperability, such as web services, can be ineffective in this scenario because of the delays added in the invocation of services. This paper is focused on introducing a web service to resolve a coordinates request without any significant delay in comparison with the sockets.

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Section: Connections To the Coordinate Measurement Systemmentioning

confidence: 99%

Visual Localisation of Mobile Devices in an Indoor Environment Under Network Delay Conditions

Fernández¹,

Fres²,

Alonso³

2011

IJDPS

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Multimodal Fusion Algorithm and Reinforcement Learning-Based Dialog System in Human-Machine Interaction

Fakhrurroja¹,

Machbub²,

Prihatmanto³

et al. 2020

ijeei

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Studies on human-machine interaction system show positive results on system development accuracy. However, there are problems, especially using certain input modalities such as speech, gesture, face detection, and skeleton tracking. These problems include how to design an interface system for a machine to contextualize the existing conversations. Other problems include activating the system using various modalities, right multimodal fusion methods, machine understanding of human intentions, and methods for developing knowledge. This study developed a method of human-machine interaction system. It involved several stages, including a multimodal activation system, methods for recognizing speech modalities, gestures, face detection and skeleton tracking, multimodal fusion strategies, understanding human intent and Indonesian dialogue systems, as well as machine knowledge development methods and the right response. The research contributes to an easier and more natural humanmachine interaction system using multimodal fusion-based systems. The average accuracy rate of multimodal activation, testing dialogue system using Indonesian, gesture recognition interaction, and multimodal fusion is 87.42%, 92.11%, 93.54% and 93%, respectively. The level of user satisfaction towards the multimodal recognition-based human-machine interaction system developed was 95%. According to 76.2% of users, this interaction system was natural, while 79.4% agreed that the machine responded well to their wishes.

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From sockets and RMI to web services

Cited by 2 publications

References 5 publications

Visual Localisation of Mobile Devices in an Indoor Environment Under Network Delay Conditions

Visual Localisation of Mobile Devices in an Indoor Environment Under Network Delay Conditions

Multimodal Fusion Algorithm and Reinforcement Learning-Based Dialog System in Human-Machine Interaction

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