Journal articles on the topic 'Intelligent messaging system'
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Wang, Ji Zhe, and Zhan Jie Wang. "Architecture Design of Urban Intelligent Transportation Using Cloud Computing." Advanced Materials Research 605-607 (December 2012): 2549–52. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2549.
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This article does a further research on the technologies of cloud computing and intelligent public transportation, designs a human-centered intelligent public transportation system, improves the connection between passengers and vehicles, vehicles and vehicles. Technologies of BeiDou messaging, capacity sensor, RFID and Web are used to improve the intelligence of public transportation information platform. This article makes an architecture design in intelligent transportation based on cloud computing and uses the embedded system as the core. The architecture allows passengers to obtain needed vehicles’ information through various services whenever and wherever, and strongly supports intelligent control and schedule of multi-vehicles and multi-lines. The system lays a good foundation for the intelligent city.
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Miao, Pei Qing, Xin Jian Tang, Feng Qing Du, Xing Lie Lei, and Xiu Chen Jiang. "Modeling Method of Interaction System for Intelligent GIS Based on IEC61850." Advanced Materials Research 718-720 (July 2013): 2163–70. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2163.
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GIS is now widely applied in power systems. It might lead to severe consequence when accidents take place, so online monitoring on GIS systems is necessary. Based on function analysis of the needs of GIS intelligent condition monitoring, a modeling method, a communication system and data exchanging interfaces, meeting IEC 61850 intrinsic ideas, are presented. Sharing and interacting strategies for intelligently-monitored GIS condition information are discussed. Focusing on MMS-based server/client communication mode, some information exchanging principles based on MMS messaging, logs and files are clarified. Server-client information exchanging communication programs are designed, and the flow charts of essential functions and client/server are also presented.
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Özkul, Mükremin, Ilir Capuni, and Elton Domnori. "Context-Aware Intelligent Traffic Light Control through Secure Messaging." Journal of Advanced Transportation 2018 (November 5, 2018): 1–10. http://dx.doi.org/10.1155/2018/4251701.
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In this paper, we propose STCM, a context-aware secure traffic control model to manage competing traffic flows at a given intersection by using secure messages with real-time traffic information. The vehicle is modeled as a virtual sensor which reports the traffic state, such as its speed and location, to a traffic light controller through a secure and computationally lightweight protocol. During the reporting process, a vehicle’s identity and location are kept anonymous to any other vehicle in the system. At an intersection, the traffic light controller receives the messages with traffic information, verifies the identities of the vehicles, and dynamically implements and optimizes the traffic light phases in real-time. Moreover, the system is able to detect the presence of emergency vehicles (such as ambulances and fire fighting trucks) in the communication range and prioritize the intersection crossing of such vehicles to in order to minimize their waiting times. The simulation results demonstrate that the system significantly reduces the waiting time of the vehicles in both light and heavy traffic flows compared to the pretimed signal control and the adaptive Webster’s method. Simulation results also yield effective robustness against impersonating attacks from malicious vehicles.
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Xu, Bai Quan. "Design of an Intelligent Home System Based on Linux and Qt." Applied Mechanics and Materials 536-537 (April 2014): 554–57. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.554.
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According to the characteristics and the application background of the intelligent home, designs the multi function control system of a family. The system uses Freescale i.MX51 processor Carle company ARM Cortex series A8 as MCU, the embedded Linux as the software development platform, and design a friendly user interface based Qt technology, realizes the ARM plate of each function module and server interaction. System with digital video intercom, messaging, appliance control, security alarm, home entertainment and other functions.
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Huo, Zhan Peng, Zheng Ying Wei, and Yi Ping Tang. "A Remote Control System Based on Short Messaging Service for Intelligent Agricultural Irrigation." Applied Mechanics and Materials 190-191 (July 2012): 1104–8. http://dx.doi.org/10.4028/www.scientific.net/amm.190-191.1104.
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In view of the need of automation and informatization in water-saving irrigation, the development in short message remote control system for automatic irrigation is carried on based on SMS via communication network. According to the remote control information received by SMS (the opening and closing commands of the valves, remote irrigation inquiry commands, etc), binary codes needed by the terminal unit are generated by the remote control system to perform irrigation control or state inquiry. The information fed back by the system is firstly processed into PDU strings that conform to the format of SMS, and then are transmitted to the client (mobile phone, computer, etc) by a wireless transmission module through communication network to display the executing state in the field and the inquiry results of the system. With its stability in running, convenience in operation and being workable in use, this system is suitable for wide application in large areas.
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Hussein, Mahmoud, Ahmed I. Galal, Emad Abd-Elrahman, and Mohamed Zorkany. "Internet of Things (IoT) Platform for Multi-Topic Messaging." Energies 13, no. 13 (June 30, 2020): 3346. http://dx.doi.org/10.3390/en13133346.
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IoT-based applications operate in a client–server architecture, which requires a specific communication protocol. This protocol is used to establish the client–server communication model, allowing all clients of the system to perform specific tasks through internet communications. Many data communication protocols for the Internet of Things are used by IoT platforms, including message queuing telemetry transport (MQTT), advanced message queuing protocol (AMQP), MQTT for sensor networks (MQTT-SN), data distribution service (DDS), constrained application protocol (CoAP), and simple object access protocol (SOAP). These protocols only support single-topic messaging. Thus, in this work, an IoT message protocol that supports multi-topic messaging is proposed. This protocol will add a simple “brain” for IoT platforms in order to realize an intelligent IoT architecture. Moreover, it will enhance the traffic throughput by reducing the overheads of messages and the delay of multi-topic messaging. Most current IoT applications depend on real-time systems. Therefore, an RTOS (real-time operating system) as a famous OS (operating system) is used for the embedded systems to provide the constraints of real-time features, as required by these real-time systems. Using RTOS for IoT applications adds important features to the system, including reliability. Many of the undertaken research works into IoT platforms have only focused on specific applications; they did not deal with the real-time constraints under a real-time system umbrella. In this work, the design of the multi-topic IoT protocol and platform is implemented for real-time systems and also for general-purpose applications; this platform depends on the proposed multi-topic communication protocol, which is implemented here to show its functionality and effectiveness over similar protocols.
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Shahid, Mohammed Abdulsami. "Intelligent Accident-Detection and Ambulance - Rescue System." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3671–77. http://dx.doi.org/10.22214/ijraset.2021.35933.
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Accidents are the major causes of death, be it in today's most technologically advanced world. Road accidents and traffic congestion are the major problems in urban areas. Currently there is no technology for detection of accidents. Also due to the delay in reaching of the ambulance to the accident location and the traffic congestion in between accident location and hospital increases the chances of the death of the victim. There is a need of introducing a system to reduce the loss of life due to accidents and the time taken by the ambulance to reach the hospital. Yearly lots of visually impaired people lose their lives by being victims of such accidents. To overcome the drawback of existing system we will implement the new system in which there is an automatic detection of accident through sensors and it will send the location of the accident to the Nearest Hospital, Police station and to the family members which will rush an ambulance from a nearest hospital to the accident spot. This will minimize the time of ambulance to reach the hospital. To achieve this we are using like MEMS (Micro Electro Mechanical Systems) (MPU6050), And using GPS module we will get the location where the accident took place and by using NODEMCU and IFTTT messaging protocol we will send the message of obtained location. Along with this there would be control of traffic light signals in the path of the ambulance using RFID TECHNOLOGY. This system is fully automated, thus it finds the accident spot, controls the traffic lights, helping to reach the hospital in time.
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Zhong, Ling, De Guo Yang, Yan Jiang, and Hai Wen Feng. "Design and Realization of Smart Home Environmental Monitoring System Based on Wireless Sensor Networks." Advanced Materials Research 658 (January 2013): 565–68. http://dx.doi.org/10.4028/www.scientific.net/amr.658.565.
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After analyzing requirements of the intelligent home system with wireless sensor on environmental monitoring, security alarm , the system are designed and implemented. The system can get the temperature and humidity of room, light intensity data, and provide a sound alarm. SMS(Short Messaging Service) alarm , automatic processing means are used in the system too. With the system, people can query and control the device in the home remotely. The system has provided user with more methods to interact with his home.
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Jin, Hongxia. "Content Recommendation for Attention Management in Unified Social Messaging." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (September 20, 2021): 627–33. http://dx.doi.org/10.1609/aaai.v26i1.8203.
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With the growing popularity of social networks and collaboration systems, people are increasingly working with or socially connected with each other. Unified messaging system provides a single interface for users to receive and process information from multiple sources. It is highly desirable to design attention management solution that can help users easily navigate and process dozens of unread messages from a unified message system. Moreover, with the proliferation of mobile devices people are now selectively consuming the most important messages on the go between different activities in their daily life. The information overload problem is especially acute for mobile users with small screen to display. In this paper, we present \PAM, an intelligent end-to-end Personalized Attention Management solution that employs analytical techniques that can learn user interests and organize and prioritize incoming messages based on user interests. For a list of unread messages, \PAM generates a concise attention report that allows users to quickly scan the important new messages from his important social connections as well as messages about his most important tasks that the user is involved with. Our solution can also be applied in other applications such as news filtering and alerts on mobile devices. Our evaluation results demonstrate the effectiveness of \PAM.
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Zhou, Shu. "The Design of Embedded Systems GUI Message Based on Mobile and Intelligent Materials." Advanced Materials Research 460 (February 2012): 210–13. http://dx.doi.org/10.4028/www.scientific.net/amr.460.210.
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Research and development of embedded systems is the hot information technology and the graphical user interface (GUI) is the most important part of human-computer interaction interface. These embedded GUI system has been widely used because of its strong and powerful functionality. But many times , it is necessary to sacrifice performance for its versatility. In this paper, the embedded GUI systems based on the message mechanism is study considering the short of current embedded GUI systems. The novel method of a message-driven application framework is suggested to solve the problem of the current message mechanisms for the implementation. Meanwhile, a circular queue algorithm is given in order to achieve messaging unit. Then, the message has been classified considering of efficiency. In the end, the design example of personal assistant is given.
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Javed, Ali, and Rabeea Islam. "An Intelligent Alarm and Messaging Based Surveillance System for Fall Detection and Absence Recognition of Unaccompanied Child." International Journal of Image, Graphics and Signal Processing 5, no. 3 (March 3, 2013): 48–54. http://dx.doi.org/10.5815/ijigsp.2013.03.07.
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Kolisnyk, Maryna. "Vulnerability analysis and method of selection of communication protocols for information transfer in Internet of Things systems." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 1 (February 27, 2021): 133–49. http://dx.doi.org/10.32620/reks.2021.1.12.
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The subject of study in the paper is the analysis of technologies, architectures, vulnerabilities and cyberattacks, communication patterns of smart objects, messaging models, and Internet of Things (IoT) / Web of Things (WoT) protocols for solving applied problems of critical and non-critical systems. The goal is to develop a method for selecting messaging models and application-level protocols in non-critical and critical multi-level IoT/WoT systems, provided that the type of access to intelligent objects is initially determined by the initial data, as well as analysis of vulnerabilities and attacks using these protocols. Objectives: to formalize the procedure for choosing communication protocols for IoT/WoT systems; analyze possible vulnerabilities of communication protocols; develop a method for selecting communication protocols for given initial data, depending on the selected type of communication template for smart objects; check practically the proposed method. The methods of research are methods of system analysis. The following results were obtained. The analysis of the features of communication protocols is conducted by comparing the main interrelated characteristics of IoT/WoT, the results of which are presented in the form of a table. A method has been developed for selecting communication protocols, depending on the selected type of communication template. The analysis of possible vulnerabilities of communication protocols and possible attacks using these protocols is conducted. The author has tested the method using the example of a corporate system (Smart House) based on the WoT concept. Findings. The scientific novelty of the results obtained is as follows: the analysis conducted in the paper shows that currently there is no unified approach to the choice of a messaging model and application-level protocols for building IoT/WoT, depending on the selected type of communication template for smart objects. The method for selecting communication protocols for the given conditions (for each IoT system its interaction pattern will correspond, depending on which components interact with each other), improved by the authors of the paper, makes it possible to simplify the task of using separate protocols for given IoT systems, considering vulnerabilities of protocols.
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Madhusudan, Therani. "An Intelligent Mediator-Based Framework for Enterprise Application Integration." Journal of Computing and Information Science in Engineering 4, no. 4 (December 1, 2004): 294–304. http://dx.doi.org/10.1115/1.1818686.
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Enterprise Application Integration (EAI) is a major problem confronting manufacturing organizations that have deployed large-scale enterprise information systems and aim to coordinate inter- and intraorganizational product development, supply-chain, and customer management activities. Successful EAI is a key enabling step toward implementation of viable Product Life-cycle Management (PLM) strategies. Extant EAI technologies, such as distributed object and messaging technologies for communication and ontology-based database schema integration, are tedious to develop and maintain in an organization. Though workflow management systems have enabled process coordination of both manual and system-oriented tasks in organizations, coping with the lack of adaptability and inter-operability in workflow systems is a manual and resource intensive effort. Recent advances in (i) standardized, modular, and distributed software delivery frameworks, such as web services; (ii) standard semantic markup languages for developing domain ontologies; and (iii) intelligent process coordination frameworks promise the development of flexible, responsive, integrated, and organic process management architectures. In this paper, we present an intelligent mediator-based architecture for enabling EAI. Intraorganizational information sources and services are made available via a web-services framework. An Integrated Service Planning and Execution (ISP&E) framework interleaves service composition and execution at the mediator to fulfill service requests. Processes that interleave information gathering and transactional tasks are generated using domain-independent Hierarchical Task Network (HTN) AI planning and a domain-specific ontology and then executed in a scalable and reliable manner. Benefits and limitations of mediator-based frameworks for EAI and topics for further research are discussed based on a prototype development experience.
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Sucipto, Sucipto, and Jamilah Karaman. "Integration of Legalization Information System Web-Based using Shipping API and Telegram API." JUITA: Jurnal Informatika 8, no. 2 (November 16, 2020): 131. http://dx.doi.org/10.30595/juita.v8i2.7104.
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Education is a right for every citizen. Quality education makes people more intelligent. Educational outcomes documented in a file called a diploma. A diploma is a necessary file for doing things related to work or other administrative matters. Generally, the diploma file submitted is in the form of a photocopy of a certificate that has been legalized for administrative requirements. The process of legalizing diplomas is often a hindrance because the time required is quite long and especially if someone is in an area far from where to take care of legalization. In the industrial era 4.0, information technology can be utilized to facilitate public access to services in the world of education, for example, using technology to implement an online legalization system. Application of technology in the legalization process is not just online but can be integrated with API (Application Programming Interface). It can attract millennial access to the application easily. There are two APIs used, namely the Shipping API and the Social Messaging API. Shipping API makes it easy to check shipping costs based on alumni location. Social messaging API with assistant features so that it can be easier to serve alumni accessing application features via Telegram. This study aims to facilitate the alumni in legalizing online to make time-efficient and affordable—implementation of information systems with the integrated website media Telegram API and Rajaongkir or shipping cost API. Based on testing the usability testing results obtained a value of 4.56 on a scale of 5. These results indicate that the application can function following the needs of users of information systems.
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Vishaka Gayathri, D., Shrutee Shree, Taru Jain, and K. Sornalakshmi. "Real Time System for Human Identification and Tracking from Surveillance Videos." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 244. http://dx.doi.org/10.14419/ijet.v7i3.12.16034.
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The need for intelligent surveillance systems has raised the concerns of security. A viable system with automated methods for person identification to detect, track and recognize persons in real time is required. The traditional detection techniques have not been able to analyze such a huge amount of live video generated in real-time. So, there is a necessity for live streaming video analytics which includes processing and analyzing large scale visual data such as images or videos to find content that are useful for interpretation. In this work, an automated surveillance system for real-time detection, recognition and tracking of persons in video streams from multiple video inputs is presented. In addition, the current location of an individual can be searched with the tool bar provided. A model is proposed, which uses a messaging queue to receive/transfer video feeds and the frames in the video are analyzed using image processing modules to identify and recognize the person with respect to the training data sets. The main aim of this project is to overcome the challenges faced in integrating the open source tools that build up the system for tagging and searching people.
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Joshi, Shubham, Shalini Stalin, Prashant Kumar Shukla, Piyush Kumar Shukla, Ruby Bhatt, Rajan Singh Bhadoria, and Basant Tiwari. "Unified Authentication and Access Control for Future Mobile Communication-Based Lightweight IoT Systems Using Blockchain." Wireless Communications and Mobile Computing 2021 (December 17, 2021): 1–12. http://dx.doi.org/10.1155/2021/8621230.
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The Internet of Things (IoT) is a new revolution defined by heterogeneous devices made up of intelligent, omnipresent items that are all hooked up to The internet. These devices are frequently implemented in different areas to offer innovative programs in various industrial applications, including intelligent urban, medicine, and societies. Such Internet of Things (IoT) equipment generates a large volume of private and safety information. Because IoT systems are resource-constrained in terms of operation, memory, and communication capability, safeguarding accessibility to them is a difficult task. In the blockchain concept, the majority, or even all network nodes, check the validity and accuracy of exchanged data before accepting and recording it, whether this data is related to financial transactions, measurements of a sensor, or an authentication message. In evaluating the validity of exchanged data, nodes must reach a consensus in order to perform a special action, in which case the opportunity to enter and record transactions and unreliable interactions with the system is significantly reduced. Recently, in order to share and access management of IoT devices’ information with a distributed attitude, a new authentication protocol based on blockchain has been proposed, and it is claimed that this protocol satisfies user privacy while preserving security. Today’s identification and authentication techniques have substantial shortcomings due to rapidly growing prevalence and implementation. As a result, the protection of such gadgets is critical to guarantee the program’s efficacy and safety. A decentralized authentication and access control method for lightweight IoT systems are proposed in this work and a blockchain-based system that enables identification and secures messaging with IoT nodes. The technique is built on fog information systems and the idea of a blockchain system; when contrasted to something like a blockchain-based verification system, the testing findings show that the suggested mechanism outperforms it. The authentication and verification system undergoes using the blockchain technique. Our method takes advantage of blockchain’s inherent advantages while also associated with development authentication systems. Our suggested blockchain-based approach, structure, and layout, in particular, provide for transparency, consistency, and provenance while also providing tamper-proof records. The article describes the general systems architectural style and the analysis and execution of a real scenario as just a prototype system. The authentication included give as protected prototype that can transmit data with secured protocol and achieves minimum error rate.
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Liu, Chun-Hung, and Jyh-Cherng Gu. "Modeling and Integrating PV Stations into IEC 61850 XMPP Intelligent Edge Computing Gateway." Energies 12, no. 8 (April 15, 2019): 1442. http://dx.doi.org/10.3390/en12081442.
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Distributed energy resources (DERs) are being widely interconnected to electrical power grids. The dispersed and intermittent generational mixes bring technical and economic challenges to the power systems in terms of stability, reliability, and interoperability. In practice, most of the communication technologies in DER are provided by proprietary communication protocols, which are not designed for the prevention of cyber security over a wide area network, and methodology of DER integration is not unified. This has made it technically difficult for power utilities and aggregators to monitor and control the DER systems after they are interconnected with the electrical grids. Moreover, peer to peer communication between DER systems as well as local intelligent computation is required to reduce decision latency and enhance the stability of the smart grid or microgrid. In this paper, the first, novel architecture of IEC 61850 XMPP (extensible messaging and presence protocol) of the edge computing gateway, involving advanced concepts and technologies, was developed and completely studied to counter the abovementioned challenges. The results show that the proposed architecture can enhance the DER system’s effective integration, security in data communication and transparency for interoperability. The novel and advanced concepts involve first modeling the topology of the photovoltaic (PV) station to IEC 61850 information models according to the IEC 61850-7-4 logical nodes and the DER-specific logical nodes defined in IEC 61850-7-420. This guarantees the interoperability between DER and DER, DER and utility and DER and the energy service operator. The second step was to map the information models to IEC 61850-8-2 XMPP for the specific communication protocol in DER applications. XMPP protocol, a publish/subscribe communication mechanism, is recommended in DER applications because of its characteristics of cybersecurity and authenticated encryption. After that we enabled the edge computing capability for data processing and the analytics of the DER side for time-critical missions. The aggregated data was then sent to the control center in the cloud. By applying the edge computing architecture, the system reduced decision latency, improved data privacy and enhanced security. The goal of this paper was to introduce the practical methodologies of these novel concepts to academics and industrial engineers.
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Temurnikar, Ankit, Pushpneel Verma, and Gaurav Dhiman. "A PSO Enable Multi-Hop Clustering Algorithm for VANET." International Journal of Swarm Intelligence Research 13, no. 2 (April 2022): 1–14. http://dx.doi.org/10.4018/ijsir.20220401.oa7.
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VANET (Vehicle Ad-hoc Network) is an emerging technology in today’s intelligent transport system. In VANET, there are many moving nodes which are called the vehicle running on the road. They communicate with each other to provide the information to driver regarding the road condition, traffic, weather and parking. VANET is a kind of network where moving nodes talk with each other with the help of equipment. There are various other things which also make complete to VANET like OBU (onboard unit), RSU (Road Aside Unit) and CA (Certificate authority). In this paper, a new PSO enable multi-hop technique is proposed which helps in VANET to Select the best route and find the stable cluster head and remove the malicious node from the network to avoid the false messaging. The false can be occurred when there is the malicious node in a network. Clustering is a technique for making a group of the same type node. This proposed work is based on PSO enable clustering and its importance in VANET. While using this approach in VANET, it has increased the 20% packet delivery ratio.
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Fahrudin, Tora, Kastaman Kastaman, Sherin Nadya Meideni, Padma Edhitya Chairunnisafa Priyono, Muhammad Galang Fathirkina, and Samira Samira. "Smart Dissemination by Using Natural Language Processing Technology." Journal of Information Systems Engineering and Business Intelligence 6, no. 2 (October 27, 2020): 133. http://dx.doi.org/10.20473/jisebi.6.2.133-142.
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Background: Recently, WhatsApp has become the world's most popular text and voice messaging application with 1.5 billion users. A lot of WhatsApp Application Programming Interface (API) has also been established to be connected to other applications. On the other hand, the development of natural language processing (NLP) for WhatsApp messages has snowballed. There are extensive studies on the dissemination information using WhatsApp but the study on NLP involving data from WhatsApp is lacking.Objective: This study aims to implement NLP in smart dissemination applications by using WhatsApp API.Methods: We build a framework that embeds an intelligent system based on the NLP in WhatsApp API to disseminate a dynamic message. Some of the sentences are used to evaluate the accuracy of this application.Results: Smart dissemination consists of dynamic filter and dynamic content. Dynamic filter was conducted by using the POS tagger and clause statement. Meanwhile, dynamic content was built by using the replace MySQL function. There are twofold limitation: the application could not transform a message that matches rule <3> with conjunction “dan”; has the same attribute before and after <CC> tag; and the maximum of the logical operator is one type for coordinating conjunction (AND/OR) in one sentence.Conclusion: Our framework can be used for dynamic dissemination of messages using dynamic message content and dynamic message recipient with an accuracy of 95% from twenty sample messages.
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Anand, Sarabjot Singh, Razvan C. Bunescu, Vitor R. Carvalho, Jan Chomicki, Vincent Conitzer, Michael T. Cox, Virginia Dignum, et al. "AAAI 2008 Workshop Reports." AI Magazine 30, no. 1 (January 18, 2009): 108. http://dx.doi.org/10.1609/aimag.v30i1.2196.
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AAAI was pleased to present the AAAI-08 Workshop Program, held Sunday and Monday, July 13–14, in Chicago, Illinois, USA. The program included the following 15 workshops: Advancements in POMDP Solvers; AI Education Workshop Colloquium; Coordination, Organizations, Institutions, and Norms in Agent Systems, Enhanced Messaging; Human Implications of Human-Robot Interaction; Intelligent Techniques for Web Personalization and Recommender Systems; Metareasoning: Thinking about Thinking; Multidisciplinary Workshop on Advances in Preference Handling; Search in Artificial Intelligence and Robotics; Spatial and Temporal Reasoning; Trading Agent Design and Analysis; Transfer Learning for Complex Tasks; What Went Wrong and Why: Lessons from AI Research and Applications; and Wikipedia and Artificial Intelligence: An Evolving Synergy.
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Dada, Debbie, Joseph Nguemo Djiometio, SarahAnn M. McFadden, Jemal Demeke, David Vlahov, Leo Wilton, Mengzu Wang, and LaRon E. Nelson. "Strategies That Promote Equity in COVID-19 Vaccine Uptake for Black Communities: a Review." Journal of Urban Health 99, no. 1 (January 11, 2022): 15–27. http://dx.doi.org/10.1007/s11524-021-00594-3.
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AbstractBlack communities have had a high burden of COVID-19 cases, hospitalizations, and death, yet rates of COVID-19 vaccine uptake among Blacks lag behind other demographic groups. This has been due in part to vaccine hesitancy and multi-level issues around access to COVID-19 vaccines. Effective strategies to promote vaccine uptake among Black communities are needed. To perform a rapid review covering December 2020–August 2021, our search strategy used PubMed, Google, and print media with a prescribed set of definitions and search terms for two reasons: there were limited peer-reviewed studies during the early period of vaccine roll-out and real-time perspectives were crucially needed. Analyses included expert opinion, descriptions of implemented projects, and project outcomes. The strategies described in these reports largely converged into three categories: (a) addressing mistrust, (b) combatting misinformation, and (c) improving access to COVID-19 vaccines. When working to reduce hesitancy, it is important to consider messaging content, messengers, and location. To address mistrust, reports detailed the importance of communicating through trusted channels, validating the real, history- and experience-based reasons why people may be hesitant to establish common ground, and addressing racism embedded within the healthcare system. To combat misinformation, strategies included dispelling myths and answering questions through town halls and culturally intelligent outreach. Black physicians and clinicians are considered trusted messengers and partnering with community leaders such as pastors can help to reach more people. The settings of vaccination sites should be convenient and trusted such as churches, barbershops, and community sites. While a number of individual and combination efforts have been developed and implemented, data that disentangle components that are the most effective are sparse. This rapid review provides a basis for developing strategic implementation to increase COVID-19 vaccine uptake in this ongoing pandemic and planning to promote health equity for future bio-events and health crises.
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Tinoco Varela, David, Fernando Gudiño Peñaloza, and Carolina Jeanette Villaseñor Rodelas. "Characterized Bioelectric Signals by Means of Neural Networks and Wavelets to Remotely Control a Human-Machine Interface." Sensors 19, no. 8 (April 24, 2019): 1923. http://dx.doi.org/10.3390/s19081923.
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Everyday, people interact with different types of human machine interfaces, and the use of them is increasing, thus, it is necessary to design interfaces which are capable of responding in an intelligent, natural, inexpensive, and accessible way, regardless of social, cultural, economic, or physical features of a user. In this sense, it has been sought out the development of small interfaces to avoid any type of user annoyance. In this paper, bioelectric signals have been analyzed and characterized in order to propose a more natural human-machine interaction system. The proposed scheme is controlled by electromyographic signals that a person can create through arm movements. Such arm signals have been analyzed and characterized by a back-propagation neural network, and by a wavelet analysis, in this way control commands were obtained from such arm electromyographic signals. The developed interface, uses Extensible Messaging and Presence Protocol (XMPP) to send control commands remotely. In the experiment, it manipulated a vehicle that was approximately 52 km away from the user, with which it can be showed that a characterized electromyographic signal can be sufficient for controlling embedded devices such as a Raspberri Pi, and in this way we can use the neural network and the wavelet analysis to generate control words which can be used inside the Internet of Things too. A Tiva-C board has been used to acquire data instead of more popular development boards, with an adequate response. One of the most important aspects related to the proposed interface is that it can be used by almost anyone, including people with different abilities and even illiterate people. Due to the existence of individual efforts to characterize different types of bioelectric signals, we propose the generation of free access Bioelectric Control Dictionary, to define and consult each characterized biosignal.
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DiLuoffo, Vincenzo, William R. Michalson, and Berk Sunar. "Robot Operating System 2." International Journal of Advanced Robotic Systems 15, no. 3 (May 1, 2018): 172988141877001. http://dx.doi.org/10.1177/1729881418770011.
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It is no secret that robotic systems are expanding into many human roles or are augmenting human roles. The Robot Operating System is an open-source standard for the robotic industry that enables locomotion, manipulation, navigation, and recognition tasks by integrating sensors, motors, and controllers into reusable modules over a distributed messaging architecture. As reliance on robotic systems increases, these systems become high value targets, for example, in autonomous vehicles where human life is at risk. As Robot Operating System has become a de facto standard for many robotic systems, the security of Robot Operating System becomes an important consideration for deployed systems. The original Robot Operating System implementations were not designed to mitigate the security risks associated with hostile actors. Robot Operating System 2, the next generation of the Robot Operating System, addresses this shortcoming, leveraging Data Distributed Services for its messaging architecture and Data Distributed Services security extension for its data protection in motion. This article provides a systematic review of Robot Operating System 2 and identifies potential risks for this new robotic system paradigm. A Robot Operating System 2 robotic system is viewed as a series of layers from the hardware that include sensors, motors, and controllers to the software layers, which include the operating system, security services, protocols, messaging, and the cognitive layer for observation, learning, and action. Since Robot Operating System 2 and security are new considerations for robotics systems as they move into mainstream, many questions emerge. For example, can some portions be secure and other portions be non-secure? Does everything need to be secure? What are the trade-offs between, security, performance, latency and throughput? What about real-time robotic systems? This article provides an overview of the Robot Operating System 2 paradigm and represents a first step toward answering these questions.
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Laddha, Abhishek, Mohamed Hanoosh, Debdoot Mukherjee, Parth Patwa, and Ankur Narang. "Large Scale Multilingual Sticker Recommendation In Messaging Apps." AI Magazine 42, no. 4 (January 12, 2022): 16–28. http://dx.doi.org/10.1609/aimag.v42i4.15098.
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Stickers are popularly used while messaging to visually express nuanced thoughts. We describe a real-time sticker recommendation (SR) system. We decompose SR into two steps: predict the message that is likely to be sent, and substitute that message with an appropriate sticker. To address the challenges caused by transliteration of message from users’ native language to the Roman script, we learn message embeddings by employing character-level CNN in an unsupervised manner. We use them to cluster semantically similar messages. Next, we predict the message cluster instead of the message. Except for validation, our system does not require human labeled data, leading to a fully auto-matic tuning pipeline. We propose a hybrid message prediction model, which can easily run on low-end phones. We discuss message cluster to sticker mapping, addressing the multilingual needs of our users, automated tuning of the system and also propose a novel application of community detection algorithm. As of November 2020, our system contains 100k+ stickers, has been deployed for 15+ months, and is being used by millions of users.
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Inoue, Naoki, and Junya Morita. "A behavioral task for exploring dynamics of communication system in dilemma situations." Artificial Life and Robotics 26, no. 3 (March 2, 2021): 329–37. http://dx.doi.org/10.1007/s10015-021-00680-4.
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AbstractThis research proposes a behavioral task to demonstrate the process of evolution of human communication systems based on the Machiavellian intelligence hypothesis, claiming that human sophisticated social intelligence such as linguistic ability has been formed through behaviors that maximize self-interest in a competitive social situation. The proposed task was designed as a dilemma game involving messaging to establish Machiavellian communication. The game was developed based on experimental semiotics, a method that generates novel artificial language and examines language functions. Through the proposed task, pairs of participants attach meanings to arbitral graphic symbols forming novel communication systems. In case studies using this task, participants modified or ambiguated the communication system by means of a dilemma between sharing and monopolizing rewards. The result suggests that the proposed game causes ambiguation of the communication system that functions equivocally.
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Zhang, Shenghao, Michael Dieciuc, Andrew Dilanchian, and Walter Boot. "THE DEVELOPMENT OF ADHERENCE SUPPORT MESSAGES FOR AN AI-BASED REMINDER SYSTEM." Innovation in Aging 6, Supplement_1 (November 1, 2022): 71. http://dx.doi.org/10.1093/geroni/igac059.282.
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Abstract Artificial Intelligence (AI) holds tremendous potential for aiding in the customization and tailoring of interventions. This talk will focus on the initial development of an adherence support system to maintain older adults' engagement with at-home cognitive training and assessment delivered via mobile devices. As part of the NIA funded Adherence Promotion with Person-centered Technology (APPT) project, a reminder and adherence support system is being developed to automatically detect adherence lapses and provide just-in-time reminders with tailored messaging to facilitate reengagement. The results of an initial study (N=40) will be presented in which participants were delivered reminders via SMS text messaging that were either tailored or not tailored to their self-reported motivation to engage with the intervention. Tailored messages were perceived as more motivating, and qualitative data informed additional ways in which messages might further be tailored based on individual preferences to support adherence.
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Xi, Mengying. "Reconstruction of New Media Art Ecology Based on Intelligent Technology Environment." Wireless Communications and Mobile Computing 2022 (July 23, 2022): 1–6. http://dx.doi.org/10.1155/2022/8084536.
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With the rapid development of modern multimedia technology and Internet technology, the traditional media in people’s daily life, including newspapers, magazines, radio, and television, are far less timely and extensive than the new media that use the Internet to spread, such as today’s headlines, microblog, TikTok, and NetEase News. In the process of its own development, Internet new media has gradually derived new media art, which is different from traditional art forms, with the mixture of sound, light, and electricity as the form of expression and the Internet as the media. The wide spread of new media art depends very much on the development of the Internet. In the early stage, the audience of new media is not wide, such as Tianya Forum and Sina blog. It is only for information exchange and communication with people who use the computer Internet. At the same time, the content shared is limited to words and pictures. When the computer Internet began to popularize and the mobile network terminal began to develop, new media art immediately sprouted. Starting from instant messaging, Tencent QQ integrates the strengths of all kinds of new media and promotes the further development of new media art. Standing at the juncture of 2022, after more than ten years of continuous innovation and development, the expression terminal has come from the computer to the mobile phone we use every day. The media has quickly entered the 5 g network from 2G and 3G networks, and the communication path and time have been quite flexible. In addition, AI (artificial intelligence) and other intelligent technologies have begun to enter people’s daily life. The combination of intelligent technology and new media art has brought new media art into another period of transformation and sublimation. This paper will discuss that in the current environment where intelligent technology has begun to be popularized in people’s daily life, new media art achieves the result of ecological reconstruction by innovating and deepening its own characteristics in combination with intelligent technology.
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Sadasivam, Rajani Shankar, Erin M. Borglund, Roy Adams, Benjamin M. Marlin, and Thomas K. Houston. "Impact of a Collective Intelligence Tailored Messaging System on Smoking Cessation: The Perspect Randomized Experiment." Journal of Medical Internet Research 18, no. 11 (November 8, 2016): e285. http://dx.doi.org/10.2196/jmir.6465.
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Gupta, Vibhuti, and Megha Gupta. "A Modern Tool of Conversation: Chatbot." Journal of Ubiquitous Computing and Communication Technologies 4, no. 3 (September 3, 2022): 138–49. http://dx.doi.org/10.36548/jucct.2022.3.002.
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A chatbot is a work of artificial intelligence technology that simulates a conversation (or chat) in natural language with a user via messaging applications, internet sites, smartphone apps, or the telephone. Chatbots are used in a range of conversation systems for a variety of purposes, including customer assistance, request processing, and information acquisition. Chatbots have been around for quite some time, but it has only been in the recent past few years that they have seen a significant uptick in popularity among consumers and companies. This change in the perspective of chatbots and conversational interfaces was heavily impacted by the advancements in artificial intelligence and machine learning, as well as by the expanding usage of messaging app technologies. This study offers a comprehensive analysis of the conversational tool known as chatbots, which emerged in the contemporary era. This paper also discusses how this tool is expanding its root in the life of human beings as well as the pros-cons that will be generated by the chatbots.
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Agyemang, Justice Owusu, Jerry John Kponyo, James Dzisi Gadze, Henry Nunoo-Mensah, and Dantong Yu. "A Lightweight Messaging Protocol for Internet of Things Devices." Technologies 10, no. 1 (January 29, 2022): 21. http://dx.doi.org/10.3390/technologies10010021.
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The move towards intelligent systems has led to the evolution of IoT. This technological leap has over the past few years introduced significant improvements to various aspects of the human environment, such as health, commerce, transport, etc. IoT is data-centric; hence, it is required that the underlying protocols are scalable and sufficient to support the vast D2D communication. Several application layer protocols are being used for M2M communication protocols such as CoAP, MQTT, etc. Even though these messaging protocols have been designed for M2M communication, they are still not optimal for communications where message size and overhead are of much concern. This research paper presents a Lightweight Messaging Protocol (LiMP), which is a minified version of CoAP. We present a detailed protocol stack of the proposed messaging protocol and also perform a benchmark analysis of the protocol on some IoT devices. The proposed minified protocol achieves minimal overhead (a header size of 2 bytes) and has faster point-to-point communication from the benchmark analysis; for communication over LAN, the LiMP-TCP outperformed the CoAP-TCP by an average of 21% whereas that of LiMP-UDP was over 37%. For a device to remote server communication, LiMP outperformed CoAP by an average of 15%.
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Kul, Seda, Süleyman Eken, and Ahmet Sayar. "Distributed and collaborative real-time vehicle detection and classification over the video streams." International Journal of Advanced Robotic Systems 14, no. 4 (July 1, 2017): 172988141772078. http://dx.doi.org/10.1177/1729881417720782.
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Traffic surveillance cameras are widely used in traffic management and information systems. Processing streaming media in real time is resource and time-consuming processes and even impossible to realize in most real-world applications. To overcome the performance problems in such applications, this article introduces a middleware system based on pub/sub messaging protocol and a dispatcher to preprocess the streams in real time. Experimental results show that proposed middleware may be utilized in different areas such as infrastructure planning, traffic management, and prevention of traffic offenses.
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Ma, Dat C., Maria E. Orlowska, and Shazia W. Sadiq. "FORMAL CONSIDERATIONS OF RULE-BASED MESSAGING FOR BUSINESS PROCESS INTEGRATION." Cybernetics and Systems 37, no. 2-3 (March 2006): 171–96. http://dx.doi.org/10.1080/01969720500425871.
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Wang, Su Hua, and Deng Jie Chen. "Multi-Clouds Framework for Enterprise Application Integration with Intelligent Agents." Applied Mechanics and Materials 284-287 (January 2013): 3532–36. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.3532.
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Enterprise Application Integration is a new business solution by combining the existing applications. Most enterprises consider data integration is the first and most critical step of integrating information systems within the organization. This research proposes a multi-cloud framework that integrates the enterprise data of various sources through a message brokering mechanism. The major objective of this framework is to provide remote database access and data consistency among enterprise applications through the messaging mechanism base on enterprise data. To analyze the feasibility of the multi-clouds framework for integrating enterprise data, we implemented the proposed architecture and evaluated with simulation data. The simulation results present the completeness and correctness of the data integration process. Through this proposed framework, the enterprise information can integrate in a more efficient and effective way.
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Zhang, Jing, Cristobal Fernandez Muñoz, and Liisa Irene Hänninen. "WeChat: Social Network and Smart City." International Linguistics Research 2, no. 3 (September 2, 2019): p11. http://dx.doi.org/10.30560/ilr.v2n3p11.
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The work focuses on the study of WeChat (main social network in China) and its digital activity for its advanced functionalities which build intelligent society in China. The importance of this platform lies in the prohibition of Western social networks in China. For 7 years, WeChat has evolved as a “super social network”, from an instant messaging application to a hybrid including application, marketplace, payment method and operating systemz, as an integrated means rather than just social network. In today's western world, almost no network can be compared with WeChat in terms of its functionalities. It is a good example of promotion and development of the intelligent society because of its advanced functionalities. The new usage and the rapid expansion of its integrated functionality and impacts form the new communication consumption framework in China. This work shows how an intelligent society changes and develops through a social network, and detailed analysis of advanced technology and social network of WeChat to give a good example to Westren countries which want to build intelligent society.
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Gabdrakhmanova, Nailia, and Maria Pilgun. "Intelligent Control Systems in Urban Planning Conflicts: Social Media Users’ Perception." Applied Sciences 11, no. 14 (July 17, 2021): 6579. http://dx.doi.org/10.3390/app11146579.
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The relevance of this study is determined by the need to develop technologies for effective urban systems management and resolution of urban planning conflicts. The paper presents an algorithm for analyzing urban planning conflicts. The material for the study was data from social networks, microblogging, blogs, instant messaging, forums, reviews, video hosting services, thematic portals, online media, print media and TV related to the construction of the North-Eastern Chord (NEC) in Moscow (RF). To analyze the content of social media, a multimodal approach was used. The paper presents the results of research on the development of methods and approaches for constructing mathematical and neural network models for analyzing the social media users’ perceptions based on their digital footprints. Artificial neural networks, differential equations, and mathematical statistics were involved in building the models. Differential equations of dynamic systems were based on observations enabled by machine learning. Mathematical models were developed to quickly detect, prevent, and address conflicts in urban planning in order to manage urban systems efficiently. In combination with mathematical and neural network model the developed approaches, made it possible to draw a conclusion about the tense situation around the construction of the NEC, identify complaints of residents to constructors and city authorities, and propose recommendations to resolve and prevent conflicts. Research data could be of use in solving similar problems in sociology, ecology, and economics.
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Goh, Ong Sing, Chun Che Fung, and Arnold Depickere. "Domain knowledge query conversation bots in instant messaging (IM)." Knowledge-Based Systems 21, no. 7 (October 2008): 681–91. http://dx.doi.org/10.1016/j.knosys.2008.03.055.
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Almagrabi, Alaa Omran, and Yasser D. Al-Otaibi. "A Survey of Context-Aware Messaging-Addressing for Sustainable Internet of Things (IoT)." Sustainability 12, no. 10 (May 18, 2020): 4105. http://dx.doi.org/10.3390/su12104105.
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Nowadays, communication engineering technology is merging with the Internet of Things (IoT), which consists of numerous connected devices (referred to as things) around the world. Many researchers have shown significant growth of sensor deployments for multiple smart engineering technologies, such as smart-healthcare, smart-industries, smart-cities, and smart-transportation, etc. In such intelligent engineering technologies, sensors continuously generate a bunch of messages in the network. To enhance the value of the data in the messages, we must know the actuality of the data embedded inside the messages. For this purpose, the contextual information of the data creates a vital challenge. Recently, context-aware computing has emerged to be fruitful in dealing with sensor information. In the ubiquitous computing domain, location is commonly considered one of the most essential sources of context. However, whenever users or applications are concerned with objects, and their site or spatial relationships, location models or spatial models are necessary to form a model of the environment. This paper investigates the area of context-aware messaging and addressing services in diverse IoT applications. The paper examines the notion of context and the use of context within the data exchanged by the sensors in an IoT application for messaging and addressing purposes. Based on the importance and need for context of the information, we identify three critical categories of new IoT applications for context-aware messaging and addressing services: emergency applications, applications for guiding and reminding, and social networking applications. For this purpose, a representative range of systems is reviewed according to the application type, the technology being used, their architecture, the context information, and the services they provide. This survey assists the work of defining an approach for context-aware messaging services domain by discovering the area of context-aware messaging.
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Hansen, Inge Gorm, and Henrik Selsøe Sørensen. "LinguaNet: Embedded MT in a Cross-Border Messaging System for European Law Enforcement." Machine Translation 17, no. 2 (2002): 139–63. http://dx.doi.org/10.1023/b:coat.0000010115.53398.20.
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Strohschein, Jan, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke, Natalia Moriz, and Thomas Bartz-Beielstein. "Cognitive capabilities for the CAAI in cyber-physical production systems." International Journal of Advanced Manufacturing Technology 115, no. 11-12 (June 8, 2021): 3513–32. http://dx.doi.org/10.1007/s00170-021-07248-3.
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AbstractThis paper presents the cognitive module of the Cognitive Architecture for Artificial Intelligence (CAAI) in cyber-physical production systems (CPPS). The goal of this architecture is to reduce the implementation effort of artificial intelligence (AI) algorithms in CPPS. Declarative user goals and the provided algorithm-knowledge base allow the dynamic pipeline orchestration and configuration. A big data platform (BDP) instantiates the pipelines and monitors the CPPS performance for further evaluation through the cognitive module. Thus, the cognitive module is able to select feasible and robust configurations for process pipelines in varying use cases. Furthermore, it automatically adapts the models and algorithms based on model quality and resource consumption. The cognitive module also instantiates additional pipelines to evaluate algorithms from different classes on test functions. CAAI relies on well-defined interfaces to enable the integration of additional modules and reduce implementation effort. Finally, an implementation based on Docker, Kubernetes, and Kafka for the virtualization and orchestration of the individual modules and as messaging technology for module communication is used to evaluate a real-world use case.
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Beenu, Harsh Jindal, Rakesh Kumar, Meghul Kumar Kushawaha, and Santosh Kumar. "Utilization of Chabot in an Educational System." Asian Journal of Electrical Sciences 10, no. 1 (May 15, 2021): 5–13. http://dx.doi.org/10.51983/ajes-2021.10.1.2833.
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Chabot are recently being utilized in a variety of online applications such as education, marketing, supporting systems, cultural heritage and industry from e-commerce to travel. It provides several benefits, such as availability, personalization, etc. Chabot is appeared in very large numbers at the start of the present decade. In a present day, the usage of Chabot is increasing day by day in large scale of the application that is providing better intelligence to the user. In fact, to speed up the assistance these systems are equipped with Chatbots which can interpret the user questions and provide the right answers, in a quick and proper manner. Hence, it is not a part of virtual assistants, but it can be utilized for governments as well as organizations on websites, applications and instant messaging platforms to develop the products, ideas or services. This paper presents the realization of a chatbot in the educational system. In addition, the authors present the historical development, types of chatbot, applications and their future in education sector is described.
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Karyotaki, Maria, Athanasios Drigas, and Charalabos Skianis. "Chatbots as Cognitive, Educational, Advisory & Coaching Systems." Technium Social Sciences Journal 30 (April 9, 2022): 109–26. http://dx.doi.org/10.47577/tssj.v30i1.6277.
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Chatbots are software applications assimilating human communication with the aim to raise adherence and engagement between human-systems interaction. Text messaging-based conversational agents (CAs) make an interesting use of natural language processing and improve by learning, allowing coherent two-way communication with humans, either oral or written as well as real-time decision-making. Chatbots serve as means of learning and teaching, as virtual assistants and social companions. Machine learning algorithms embedded into Chatbots simulate human cognition, including cognitive learning, decision making and adaptation to the environment. Thus, the future of artificial intelligence in Chatbots lies in the development of a global, reliable and sustainable ecosystem of knowledge, skills and values by bringing together all interested stakeholders, such as scientists, consumers, businesses and the state. Such effective customized/personalized learning frameworks depend on sophisticated conversational flows based on user models, which cluster user preferences and attributes in combination with learning analytics to induce end users’ personal skills, knowledge mastery, learning ability as well as professional development.
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Wang, Quan, Hongbin Li, Hao Wang, Jun Zhang, and Jiliang Fu. "A Remote Calibration Device Using Edge Intelligence." Sensors 22, no. 1 (January 1, 2022): 322. http://dx.doi.org/10.3390/s22010322.
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Power system facility calibration is a compulsory task that requires in-site operations. In this work, we propose a remote calibration device that incorporates edge intelligence so that the required calibration can be accomplished with little human intervention. Our device entails a wireless serial port module, a Bluetooth module, a video acquisition module, a text recognition module, and a message transmission module. First, the wireless serial port is used to communicate with edge node, the Bluetooth is used to search for nearby Bluetooth devices to obtain their state information and the video is used to monitor the calibration process in the calibration lab. Second, to improve the intelligence, we propose a smart meter reading method in our device that is based on artificial intelligence to obtain information about calibration meters. We use a mini camera to capture images of calibration meters, then we adopt the Efficient and Accurate Scene Text Detector (EAST) to complete text detection, finally we built the Convolutional Recurrent Neural Network (CRNN) to complete the recognition of the meter data. Finally, the message transmission module is used to transmit the recognized data to the database through Extensible Messaging and Presence Protocol (XMPP). Our device solves the problem that some calibration meters cannot return information, thereby improving the remote calibration intelligence.
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TAY, FRANCIS E. H., MYO NAING NYAN, TECK HONG KOH, K. H. W. SEAH, and YIH YIOW SITOH. "SMART SHIRT THAT CAN CALL FOR HELP AFTER A FALL." International Journal of Software Engineering and Knowledge Engineering 15, no. 02 (April 2005): 183–88. http://dx.doi.org/10.1142/s0218194005002257.
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A smart shirt was developed for geriatric healthcare purposes. It can summon medical assistances via SMS and e-mail when its bearer has fallen. Single axis accelerometers are arranged in medio-lateral, vertical and antero-posterior direction on the shoulder part of the shirt. Using Bluetooth™ transmitter/receiver, signals are transmitted and processed on a Personal Computer (PC) for fall-detection. Upon detection of falls, SMS (Short Messaging Service) and e-mail are sent through GSM (Global System for Mobile Communication) network supported by a local telecommunication service provider. The primary advantage of our detection system compared to other researchers' systems is that fall notification can be sent to individuals and medical health care unit simultaneously to lead to a shortened interval of the arrival of assistance.
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Narita, Masahiko, Makiko Shimamura, Sadao Yashiro, Kazunori Iwasa, and Toru Yamaguchi. "Verifying the Reliability of Web Services Interactions for the Robot Communication Platform." Journal of Advanced Computational Intelligence and Intelligent Informatics 12, no. 1 (January 20, 2008): 77–84. http://dx.doi.org/10.20965/jaciii.2008.p0077.
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As Loosely Coupled Robot Communication and the common robot service platform using Web Services gain acceptance, the multi-vendor/multi-implementation environment is becoming increasingly disseminated and interoperability increasingly critical. In contrast Reliable messaging is a key to such Web Services-based systems, but no openly available verification suite currently exists for this technology. We discuss requirements of conformance and interoperability tests for Web Services reliability, and report results of coverage tests and application-driven tests using the verification suite we developed for reliable messaging. This suite verified implementations conforming to WS-Reliability, a reliable message specification. It also proves that application-driven tests requiring neither test program installation nor probe, effectively ensure interoperability in actual application together with common robot service platform implementation.
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Wang, Yujue, HweeHwa Pang, Robert H. Deng, Yong Ding, Qianhong Wu, and Bo Qin. "Securing messaging services through efficient signcryption with designated equality test." Information Sciences 490 (July 2019): 146–65. http://dx.doi.org/10.1016/j.ins.2019.03.039.
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Lee, Matthew K. O., Christy M. K. Cheung, and Zhaohui Chen. "Understanding user acceptance of multimedia messaging services: An empirical study." Journal of the American Society for Information Science and Technology 58, no. 13 (2007): 2066–77. http://dx.doi.org/10.1002/asi.20670.
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Xu, Wenbin, Xudong Li, Liang Gong, Yixiang Huang, Zeyuan Zheng, Zelin Zhao, Lujie Zhao, et al. "Natural teaching for humanoid robot via human-in-the-loop scene-motion cross-modal perception." Industrial Robot: the international journal of robotics research and application 46, no. 3 (May 20, 2019): 404–14. http://dx.doi.org/10.1108/ir-06-2018-0118.
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Purpose This paper aims to present a human-in-the-loop natural teaching paradigm based on scene-motion cross-modal perception, which facilitates the manipulation intelligence and robot teleoperation. Design/methodology/approach The proposed natural teaching paradigm is used to telemanipulate a life-size humanoid robot in response to a complicated working scenario. First, a vision sensor is used to project mission scenes onto virtual reality glasses for human-in-the-loop reactions. Second, motion capture system is established to retarget eye-body synergic movements to a skeletal model. Third, real-time data transfer is realized through publish-subscribe messaging mechanism in robot operating system. Next, joint angles are computed through a fast mapping algorithm and sent to a slave controller through a serial port. Finally, visualization terminals render it convenient to make comparisons between two motion systems. Findings Experimentation in various industrial mission scenes, such as approaching flanges, shows the numerous advantages brought by natural teaching, including being real-time, high accuracy, repeatability and dexterity. Originality/value The proposed paradigm realizes the natural cross-modal combination of perception information and enhances the working capacity and flexibility of industrial robots, paving a new way for effective robot teaching and autonomous learning.
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Burtsev, Mikhail, and Varvara Logacheva. "Conversational Intelligence Challenge: Accelerating Research with Crowd Science and Open Source." AI Magazine 41, no. 3 (September 14, 2020): 18–27. http://dx.doi.org/10.1609/aimag.v41i3.5324.
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Development of conversational systems is one of the most challenging tasks in natural language processing, and it is especially hard in the case of open-domain dialogue. The main factors that hinder progress in this area are lack of training data and difficulty of automatic evaluation. Thus, to reliably evaluate the quality of such models, one needs to resort to time-consuming and expensive human evaluation. We tackle these problems by organizing the Conversational Intelligence Challenge (ConvAI) — open competition of dialogue systems. Our goals are threefold: to work out a good design for human evaluation of open-domain dialogue, to grow open-source code base for conversational systems, and to harvest and publish new datasets. Over the course of ConvAI1 and ConvAI2 competitions, we developed a framework for evaluation of chatbots in messaging platforms and used it to evaluate over 30 dialogue systems in two conversational tasks — discussion of short text snippets from Wikipedia and personalized small talk. These large-scale evaluation experiments were performed by recruiting volunteers as well as paid workers. As a result, we succeeded in collecting a dataset of around 5,000 long meaningful human-to-bot dialogues and got many insights into the organization of human evaluation. This dataset can be used to train an automatic evaluation model or to improve the quality of dialogue systems. Our analysis of ConvAI1 and ConvAI2 competitions shows that the future work in this area should be centered around the more active participation of volunteers in the assessment of dialogue systems. To achieve that, we plan to make the evaluation setup more engaging.
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Zhou, Wei. "Fuzzy rules based efficient event-driven simulation of blockchain-based applications." Journal of Intelligent & Fuzzy Systems 40, no. 4 (April 12, 2021): 8101–7. http://dx.doi.org/10.3233/jifs-189633.
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Decentralized application (DAPP), replacing traditional business logic and data access layer with block chain, is a new form of Internet service. Testing DAPP requires large-scale distributed systems. Performing experiments in a real system is costly and difficult. This article carefully analyses the process of block generation and synchronization and explains the reasons for the low efficiency of block chain system simulation. We incorporate fuzzy rule based model for enhancing the logging system in blockchain. Rules based on fuzzy are utilized inside system of fuzzy logic to obtain outcome on basis of input variables. The data of Ethereum and Bitcoin proves that the block generation interval conforms to the exponential distribution, and the real PoW calculation can be replaced with random numbers. Both block verification and network propagation processes have latency, which can be simulated with asynchronous messaging. Based on the above analysis, this article proposes a high-performance simulation method based on event-driven model, which is suitable for describing the communication and synchronization behave our of block chain networks. The method can effectively describe the block generation, the synchronization process between nodes, and supports different equity proof forms. Using this method, the performance of the PoW systemis tested. Under the ecs.c6.xlargeinstance,the simulation running speed reaches 782 times of actual system. Further experiments show that this method can be efficiently used in larger-scale networks and is an effective tool for DAPP developing and testing.
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Faro, Jamie M., Catherine S. Nagawa, Jeroan A. Allison, Stephenie C. Lemon, Kathleen M. Mazor, Thomas K. Houston, and Rajani S. Sadasivam. "Comparison of a Collective Intelligence Tailored Messaging System on Smoking Cessation Between African American and White People Who Smoke: Quasi-Experimental Design." JMIR mHealth and uHealth 8, no. 4 (April 27, 2020): e18064. http://dx.doi.org/10.2196/18064.
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Background The Patient Experience Recommender System for Persuasive Communication Tailoring (PERSPeCT) is a machine learning recommender system with a database of messages to motivate smoking cessation. PERSPeCT uses the collective intelligence of users (ie, preferences and feedback) and demographic and smoking profiles to select motivating messages. PERSPeCT may be more beneficial for tailoring content to minority groups influenced by complex, personally relevant factors. Objective The objective of this study was to describe and evaluate the use of PERSPeCT in African American people who smoke compared with white people who smoke. Methods Using a quasi-experimental design, we compared African American people who smoke with a historical cohort of white people who smoke, who both received up to 30 emailed tailored messages over 65 days. People who smoke rated the daily message in terms of perceived influence on quitting smoking for 30 days. Our primary analysis compared daily message ratings between the two groups using a t test. We used a logistic model to compare 30-day cessation between the two groups and adjusted for covariates. Results The study included 119 people who smoke (African Americans, 55/119; whites, 64/119). At baseline, African American people who smoke were significantly more likely to report allowing smoking in the home (P=.002); all other characteristics were not significantly different between groups. Daily mean ratings were higher for African American than white people who smoke on 26 of the 30 days (P<.001). Odds of quitting as measured by 30-day cessation were significantly higher for African Americans (odds ratio 2.3, 95% CI 1.04-5.53; P=.03) and did not change after adjusting for allowing smoking at home. Conclusions Our study highlighted the potential of using a recommender system to personalize for African American people who smoke. Trial Registration ClinicalTrials.gov NCT02200432; https://clinicaltrials.gov/ct2/show/NCT02200432 International Registered Report Identifier (IRRID) RR2-10.2196/jmir.6465