Relevant bibliographies by topics / Message processing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Message processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Message processing"

1

Rhodes, Nancy. "Fear-Appeal Messages: Message Processing and Affective Attitudes." Communication Research 44, no. 7 (January 11, 2015): 952–75. http://dx.doi.org/10.1177/0093650214565916.

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Theories of fear appeals suggest that fear-inducing messages can be effective, but public service announcements (PSAs) that emphasize fear do not always lead to desired change in behavior. To better understand how fear-inducing PSAs are processed, an experiment testing the effects of exposure to safe-driving messages is reported. College students ( N = 108) viewed PSAs of varying message sensation value (MSV). Results indicated that messages with medium MSV resulted in intentions to drive more slowly than messages with low or high MSV. Measures of affective attitudes indicated that medium MSV messages resulted in fast driving being rated as less fun and exciting than those of either high or low MSV. These affective evaluations mediated the effect of message exposure on driving intention. Message derogation was not related to message intensity. Production of message-related thoughts decreased, and emotional thoughts increased with message intensity. This decrease in processing of message content suggested a limited capacity explanation for the effect of highly intense fear appeals.
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Hong, Cheng, and Cong Li. "The Effect of “Anonymous Reviewer”: A Study of Anonymity, Affect Intensity, and Message Valence in the Cyberspace." Journal of Language and Social Psychology 36, no. 5 (March 1, 2017): 504–24. http://dx.doi.org/10.1177/0261927x17697358.

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This study aims to illustrate how anonymity, together with affect intensity and message valence, affects message receivers’ responses. A 2 (anonymous vs. revealed identity) × 2 (low vs. high affect intensity) × 2 (positive vs. negative valence) between-subjects experiment was conducted. It was found that when message affect intensity was low, an anonymous message was more effective in generating trust toward the message and message processing depth than a message with an identified sender. However, such a difference was insignificant when affect intensity was high. Moreover, a significant interaction effect between affect intensity and message valence was found on message processing depth. When affect intensity was high, a positive message elicited more message processing. When affect intensity was low, there was no significant difference between positive and negative messages.
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Donné, Lennie, John Hoeks, and Carel Jansen. "Talking about health messages." Dutch Journal of Applied Linguistics 5, no. 2 (December 31, 2016): 126–44. http://dx.doi.org/10.1075/dujal.5.2.02don.

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Interpersonal communication has been shown to influence health campaign outcomes, but little is known about ways in which conversations can actually be elicited. In this correlational study, we tested the assumption that perceived complexity of the message can be a predictor of interpersonal communication. Forty participants were exposed to six different health messages varying in perceived complexity. The results show that the more the message was perceived as complex, the longer it took to understand it. Longer message processing times, in turn, were associated with higher intentions to talk, but only about messages that were of low personal relevance. When messages had a high personal relevance, longer processing times were associated with lower intentions to talk. Apparently, if a message is clearly relevant, longer processing due to perceived complexity is detrimental to the occurrence of interpersonal communication.
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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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Volkov, Andrey Anatol’evich, and Sergey Vladimirovich Antonov. "Algorithm of restoring unambiguity in the system of distance emergency alerts from persons with disabilities." Vestnik MGSU, no. 11 (November 2015): 186–92. http://dx.doi.org/10.22227/1997-0935.2015.11.186-192.

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Usually a message on fire or other emergency is sent to operations control by a witness. The situation causes stress. That’s why it may be difficult to understand the meaning of the witness’s text message because of pressing adjacent letters or T9 mistakes. So an operator may take such a message for spam and may not react adequately. Though if the system of “Smart House” is equipped with the module of processing Messages-112, the problem will be solved. The article analyzes the way of processing the messages to Messages-112 from persons with disabilities in the system of “Smart House”. The authors offer a variant of recovering unambiguity of notion sense from messages with errors of T9 and possible accidental pressing of adjacent letters. The system looks for key words, reduces noise, chooses the target rescue services and redirects the message to them.
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Smith, Stephen M., and Richard E. Petty. "Message Framing and Persuasion: A Message Processing Analysis." Personality and Social Psychology Bulletin 22, no. 3 (March 1996): 257–68. http://dx.doi.org/10.1177/0146167296223004.

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Brankovic, Marija, and Iris Zezelj. "The effects of matching a persuasive message to a recipient's self-concept on attitude change." Psihologija 43, no. 3 (2010): 233–51. http://dx.doi.org/10.2298/psi1003233b.

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The paper addresses the question of whether matching a persuasive message to a recipient's self-concept can enhance message processing. A large body of experiments within the Elaboration likelihood model proved that framing a message so as to be perceived as selfrelevant led to more careful argument scrutiny. In this research, we matched the messages with previously assessed need for cognition - tendency to engage in and enjoy effortful cognitive tasks. Two possible sources of motivation to process a persuasive message were hereby confronted: dispositional (cognitive style) and situational (matching). Results showed a significant attitude change, but the main hypothesis was not confirmed: matched messages did not produce more argument processing activity than the mismatched. Manipulations did not have any significant effects on message processing of the high need for cognition participants. Contrary to expectations, participants low in their need for cognition elaborated the message more carefully when it was mismatched, that is when the message addressed them as persons inclined to careful thinking. Results can be explained within the framework of self-affirmation theory, which argues that providing people with an opportunity to affirm their sense of selfworth makes them more open to persuasion attempts, as well as more objective. Results are discussed from a wider theoretical and empirical perspective of motivation.
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Mastorakos, George, Aditya Khurana, Ming Huang, Sunyang Fu, Ahmad P. Tafti, Jungwei Fan, and Hongfang Liu. "Probing Patient Messages Enhanced by Natural Language Processing: A Top-Down Message Corpus Analysis." Health Data Science 2021 (June 16, 2021): 1–10. http://dx.doi.org/10.34133/2021/1504854.

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Background. Patients increasingly use asynchronous communication platforms to converse with care teams. Natural language processing (NLP) to classify content and automate triage of these messages has great potential to enhance clinical efficiency. We characterize the contents of a corpus of portal messages generated by patients using NLP methods. We aim to demonstrate descriptive analyses of patient text that can contribute to the development of future sophisticated NLP applications. Methods. We collected approximately 3,000 portal messages from the cardiology, dermatology, and gastroenterology departments at Mayo Clinic. After labeling these messages as either Active Symptom, Logistical, Prescription, or Update, we used NER (named entity recognition) to identify medical concepts based on the UMLS library. We hierarchically analyzed the distribution of these messages in terms of departments, message types, medical concepts, and keywords therewithin. Results. Active Symptom and Logistical content types comprised approximately 67% of the message cohort. The “Findings” medical concept had the largest number of keywords across all groupings of content types and departments. “Anatomical Sites” and “Disorders” keywords were more prevalent in Active Symptom messages, while “Drugs” keywords were most prevalent in Prescription messages. Logistical messages tended to have the lower proportions of “Anatomical Sites,”, “Disorders,”, “Drugs,”, and “Findings” keywords when compared to other message content types. Conclusions. This descriptive corpus analysis sheds light on the content and foci of portal messages. The insight into the content and differences among message themes can inform the development of more robust NLP models.
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Yashchenkov, K. G., K. S. Dymko, N. O. Ukhanov, and A. V. Khnykin. "DEVELOPMENT OF AN ALGORITHM FOR FINDING ANOMALIES IN WEATHER REPORTS TO IMPROVE THE QUALITY OF FORECASTS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 203 (May 2021): 45–52. http://dx.doi.org/10.14489/vkit.2021.05.pp.045-052.

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The issues of using data analysis methods to find and correct errors in the reports issued by meteorologists are considered. The features of processing various types of meteorological messages are studied. The advantages and disadvantages of existing methods of classification of text information are considered. The classification methods are compared in order to identify the optimal method that will be used in the developed algorithm for analyzing meteorological messages. The prospects of using each of the methods in the developed algorithm are described. An algorithm for processing the source data is proposed, which consists in using syntactic and logical analysis to preclean the data from various kinds of noise and determine format errors for each type of message. After preliminary preparation the classification method correlates the received set of message characteristics with the previously trained model to determine the error of the current weather report and output the corresponding message to the operator in real time. The software tools used in the algorithm development and implementation processes are described. A complete description of the process of processing a meteorological message is presented from the moment when the message is entered in a text editor until the message is sent to the international weather message exchange service. The developed software is demonstrated, in which the proposed algorithm is implemented, which allows to improve the quality of messages and, as a result, the quality of meteorological forecasts. The results of the implementation of the new algorithm are described by comparing the number of messages containing various types of errors before the implementation of the algorithm and after the implementation.
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Dyjach, Sebastian, and Małgorzata Plechawska-Wójcik. "Efficiency comparison of message brokers." Journal of Computer Sciences Institute 31 (June 30, 2024): 116–23. http://dx.doi.org/10.35784/jcsi.6084.

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The aim of the article is to compare three main brokers used in the development of web applications: RabbitMQ, Apache Kafka and Apache Pulsar. To conduct the research, a custom application was created to compare two key metrics in the context of message queue performance. These metrics are: latency and number of processed messages per second. The conducted experiments showed that in scenarios requiring processing of backlogged messages by the broker and in cases of minimizing the impact of the SSL protocol on broker performance, Apache Pulsar proved to be the best solu­tion. In the scenario examining message delivery delays, RabbitMQ turned out to be the best tool, while in the case of examining the stability of message processing in real-time, the best results were achieved with Apache Kafka.
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Dissertations / Theses on the topic "Message processing"

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Umphrey, Laura Ruth. "The effects of message framing and message processing on cognitive and behavioral outcomes: An examination of breast self-examination messages." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/290290.

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This study examined the effects of message framing, message processing and issue involvement on breast self-examination attitudes and behaviors. A health frame message processing model was developed and tested in the context of a detection behavior based on prospect theory (Tversky & Kahneman, 1981) and the heuristic-systematic model (HSM) (Chaiken, 1980). Participants were exposed to either a gain frame message emphasizing the consequences of performing breast self-examinations or a loss frame message emphasizing the consequences of not performing breast self-examinations. Women who were classified as defensive processors displayed maladaptive responses in the form of minimization or denial of the health issue in a thought-listing task following exposure to the message stimuli. The results of the study indicated that (a) women with less self-efficacy engaged in maladaptive responses; (b) there were no framing-related differences in attitudes for high involvement women who processed the messages objectively; (c) high involvement women who engaged in defensive processing responded more negatively to the loss frame message than the gain frame message; (d) attitudes were significant predictors of behavioral intentions; (e) behavioral intentions were significant predictors of behaviors; and (f) low involvement women who received loss frame messages felt more susceptible to breast cancer than low involvement women who received gain frame messages. Limitations, suggestions for future research, and implications for health care professionals are discussed.
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Shin, Mija. "Emotional message processing a dual system approach /." [Bloomington, Ind.] : Indiana University, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3223075.

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Thesis (Ph.D.)--Indiana University, Dept. of Telecommunications, 2006.
"Title from dissertation home page (viewed June 27, 2007)." Source: Dissertation Abstracts International, Volume: 67-06, Section: A, page: 1964. Adviser: Annie Lang.
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Wong, Kar Leong. "A message controller for distributed processing systems." Thesis, Nottingham Trent University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312309.

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Ng, Jien-Hau. "Message routing interface for multiprocessor networks." Thesis, Nottingham Trent University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369310.

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Reinsmith, Lee V. "POST-FLIGHT 1553 MESSAGE REDUCTION AND PROCESSING SYSTEM." International Foundation for Telemetering, 1994. http://hdl.handle.net/10150/608572.

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International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California
This paper describes the application software used in the Message Processing System at the Air Force Development Test Center (AFDTC), Eglin AFB. The focus is on the Alpha AXP application software designed and developed to log, process, and reformat IRIG Chapter 8 1553 data. The main data reduction and editing capabilities of the processing phase are explained: message output selection, message output sampling, message translation, error identification, and IRIG Chapter 8 time editing. The design of and methods used to produce the output files, the BBNProbe STD file, and the 1553 message summary report are described. This software’s flexibility and comprehensiveness in processing, reducing, and re-formatting 1553 message data will enable AFDTC to satisfy current and future post-mission processing requirements.
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Baker, Sara Marie. "Majority and minority influence : a message processing perspective /." The Ohio State University, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487779439848568.

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Wilkenloh, Christopher Joselane. "Design of a reliable message transaction protocol." Thesis, Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/8307.

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田慶豐 and Hing-fung Ting. "Examples of time-message tradeoffs in distributed algorithms." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1988. http://hub.hku.hk/bib/B31208393.

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Fry, Marie-Louise. "Message processing of fear-based anti-drink driving advertisements." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16381/1/Mary-Louise_Fry_Thesis.pdf.

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While overall road deaths in Australia have fallen since the late 1980's and the impact of road-safety advertising appears to be positive, alcohol-related road fatalities remain the leading cause of death among young Australian adults. Fatality and injury rates continue within this cohort despite increases in alcohol-related knowledge, continuing education efforts in the Australian school system, increased funding for police enforcement and high media presence of road safety advertising (Peder et al 2004). Notwithstanding advances in communication technologies, highly graphic, emotional, shock style television advertising remains the primary medium for road safety message dissemination. Rather than targeting those highest at-risk for drink driving, road safety advertisements typically target an undifferentiated general audience. To date understanding the process by which road safety advertising influences attitudes and behaviour has been the centre of fear arousal research. Nonetheless, there has been little examination of how young adults who differ in drink-driving risk-propensity (high versus low) respond to and process anti-drink driving advertisements designed to modify an avoidable behaviour. Taking a receiver oriented approach, the focus of this study examines how young adult, novice drivers who differ in 'need-for-sensation' (NFS) risk propensity respond to, and process, anti-drink driving advertisements that differ in arousal capacity (i.e. high, low sensation-value). The investigation was conducted in two stages: Study 1 (qualitative) and Study II (quantitative). Study I, the qualitative phase, explored by focus group interviews attitudes, perceptions, beliefs and experiences of sixty young adults aged 18 to 25 years towards alcohol consumption, drink-driving, and anti-drink driving advertising. The major qualitative finding is that young adults characterise drink-driving as a rational, deliberate, planned and accepted behaviour. Young adults were aware of the choices available for not drinking and driving and were aware of the health, social and physical (self and property) risks associated with alcohol consumption and associated behaviours. Nonetheless, the short-term personal experiences of revelry and group cohesion were more pertinent to them on an everyday basis. Alcohol consumption and drink-driving behaviour did not appear to differ between university and nonuniversity students or gender, yet there were differences in attitudes and behaviour across the degree studied within the university cohort. Study II, the quantitative phase, was segmented into three sections. First, the study provides empirical support for NFS as a relevant a priori individual differences segmentation variable for differentiating between those more likely, versus less likely, to engage in responsible drink-driving behaviour. As expected low NFS individuals were more likely to not drink and drive. Second, findings support an interaction effect between an advertisement's sensation value and individual differences variable, NFS, on response outcomes. High NFS individuals engaged in higher levels of adaptive appraisal on the high sensation-value advertisement condition as compared to the low sensationvalue advertisement condition. Low NFS individuals did not discriminate across either advertisement condition. Adaptive appraisal was not counteracted by a corresponding increase in maladaptive appraisal. Both high and low NFS individuals viewed the high sensation-value advertisement condition with high levels of perceived threat and viewed the low sensation-value advertisement with higher levels of perceived efficacy. Yet, although high NFS individuals viewed the high sensation-value advertisement with high levels of threat they simultaneously viewed this advertisement with low levels of perceived efficacy. Third, NFS was not found to be a strong predictor moderating the relationship between message processing (cognitive, sensory, narrative) and response outcomes. The findings indicate strong support for a direct relationship between two modes of message processing: cognitive and narrative processing and response outcomes. Message recipients processed anti-drink driving advertisements via two routes to persuasion. There was stronger cognitive processing evident on advertisements possessing high arousal capacity, whereas stronger narrative processing was evident on low arousal capacity advertisements. This study suggests that those advertisements that possess high arousal capacity have the capability of facilitating attention to the central argument, the consequences of drinking and driving, as well as how drinking and driving may affect the message recipients' life. Alternatively, those messages that impart high levels of rational information have the capability of increasing attention to the peripheral cues in the message. It is also suggested that different styles of message processing, central versus peripheral, act in a synergistic way to influence response outcomes which indicates that there is no single route to persuasion. Individuals process messages in a complex manner attending to various signals in order to evaluate various components of the message. For road safety practitioners and social marketers the results of this study illustrates practical benefits for the design of anti-drink driving advertisements based on the segmentation variable NFS. The finding that high NFS individuals require advertisements that possess high levels of arousal capacity (i.e.: high in sensation-value) is an important development. Importantly, low NFS individuals do not discriminate in accepting the recommendations of advertisements that differ in arousal capacity clearly suggests that they accept messages regardless of their arousal capacity. This finding indicates that the goal of road traffic authorities, advertising agencies and social marketers should be directed towards targeting high NFS individuals who are more atrisk for a drink-drive fatality. That message recipients process anti-drink driving messages via two routes to persuasion indicates that message designers need to consider the mix between the sensation-value of the message and consideration of the way message recipients' process the message, i.e. via central/systematic versus peripheral/heuristic components of the advertisement. Further investigation into the dual processing of anti-drink driving advertisements once individuals are exposed to the message is warranted to further understand the psychological processes influencing message processing. The findings of this research have important implications for both practitioners and academics. This research has provided an insight into the complexity of young adult's response outcomes and message processing of fear-based anti-drink driving messages.
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Fry, Marie-Louise. "Message processing of fear-based anti-drink driving advertisements." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16381/.

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While overall road deaths in Australia have fallen since the late 1980's and the impact of road-safety advertising appears to be positive, alcohol-related road fatalities remain the leading cause of death among young Australian adults. Fatality and injury rates continue within this cohort despite increases in alcohol-related knowledge, continuing education efforts in the Australian school system, increased funding for police enforcement and high media presence of road safety advertising (Peder et al 2004). Notwithstanding advances in communication technologies, highly graphic, emotional, shock style television advertising remains the primary medium for road safety message dissemination. Rather than targeting those highest at-risk for drink driving, road safety advertisements typically target an undifferentiated general audience. To date understanding the process by which road safety advertising influences attitudes and behaviour has been the centre of fear arousal research. Nonetheless, there has been little examination of how young adults who differ in drink-driving risk-propensity (high versus low) respond to and process anti-drink driving advertisements designed to modify an avoidable behaviour. Taking a receiver oriented approach, the focus of this study examines how young adult, novice drivers who differ in 'need-for-sensation' (NFS) risk propensity respond to, and process, anti-drink driving advertisements that differ in arousal capacity (i.e. high, low sensation-value). The investigation was conducted in two stages: Study 1 (qualitative) and Study II (quantitative). Study I, the qualitative phase, explored by focus group interviews attitudes, perceptions, beliefs and experiences of sixty young adults aged 18 to 25 years towards alcohol consumption, drink-driving, and anti-drink driving advertising. The major qualitative finding is that young adults characterise drink-driving as a rational, deliberate, planned and accepted behaviour. Young adults were aware of the choices available for not drinking and driving and were aware of the health, social and physical (self and property) risks associated with alcohol consumption and associated behaviours. Nonetheless, the short-term personal experiences of revelry and group cohesion were more pertinent to them on an everyday basis. Alcohol consumption and drink-driving behaviour did not appear to differ between university and nonuniversity students or gender, yet there were differences in attitudes and behaviour across the degree studied within the university cohort. Study II, the quantitative phase, was segmented into three sections. First, the study provides empirical support for NFS as a relevant a priori individual differences segmentation variable for differentiating between those more likely, versus less likely, to engage in responsible drink-driving behaviour. As expected low NFS individuals were more likely to not drink and drive. Second, findings support an interaction effect between an advertisement's sensation value and individual differences variable, NFS, on response outcomes. High NFS individuals engaged in higher levels of adaptive appraisal on the high sensation-value advertisement condition as compared to the low sensationvalue advertisement condition. Low NFS individuals did not discriminate across either advertisement condition. Adaptive appraisal was not counteracted by a corresponding increase in maladaptive appraisal. Both high and low NFS individuals viewed the high sensation-value advertisement condition with high levels of perceived threat and viewed the low sensation-value advertisement with higher levels of perceived efficacy. Yet, although high NFS individuals viewed the high sensation-value advertisement with high levels of threat they simultaneously viewed this advertisement with low levels of perceived efficacy. Third, NFS was not found to be a strong predictor moderating the relationship between message processing (cognitive, sensory, narrative) and response outcomes. The findings indicate strong support for a direct relationship between two modes of message processing: cognitive and narrative processing and response outcomes. Message recipients processed anti-drink driving advertisements via two routes to persuasion. There was stronger cognitive processing evident on advertisements possessing high arousal capacity, whereas stronger narrative processing was evident on low arousal capacity advertisements. This study suggests that those advertisements that possess high arousal capacity have the capability of facilitating attention to the central argument, the consequences of drinking and driving, as well as how drinking and driving may affect the message recipients' life. Alternatively, those messages that impart high levels of rational information have the capability of increasing attention to the peripheral cues in the message. It is also suggested that different styles of message processing, central versus peripheral, act in a synergistic way to influence response outcomes which indicates that there is no single route to persuasion. Individuals process messages in a complex manner attending to various signals in order to evaluate various components of the message. For road safety practitioners and social marketers the results of this study illustrates practical benefits for the design of anti-drink driving advertisements based on the segmentation variable NFS. The finding that high NFS individuals require advertisements that possess high levels of arousal capacity (i.e.: high in sensation-value) is an important development. Importantly, low NFS individuals do not discriminate in accepting the recommendations of advertisements that differ in arousal capacity clearly suggests that they accept messages regardless of their arousal capacity. This finding indicates that the goal of road traffic authorities, advertising agencies and social marketers should be directed towards targeting high NFS individuals who are more atrisk for a drink-drive fatality. That message recipients process anti-drink driving messages via two routes to persuasion indicates that message designers need to consider the mix between the sensation-value of the message and consideration of the way message recipients' process the message, i.e. via central/systematic versus peripheral/heuristic components of the advertisement. Further investigation into the dual processing of anti-drink driving advertisements once individuals are exposed to the message is warranted to further understand the psychological processes influencing message processing. The findings of this research have important implications for both practitioners and academics. This research has provided an insight into the complexity of young adult's response outcomes and message processing of fear-based anti-drink driving messages.
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Books on the topic "Message processing"

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David, Cronk, Mehrotra Piyush, and Institute for Computer Applications in Science and Engineering., eds. On the design of chant: A talking threads of package : final report. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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David, Cronk, Mehrotra Piyush, and Institute for Computer Applications in Science and Engineering., eds. On the design of chant: A talking threads package : final report. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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Reed, Daniel A. Multicomputer networks: Message-based parallel processing. Cambridge, Mass: MIT Press, 1987.

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Willmott, R. Practical guide to message handling systems. Manchester: NCC Blackwell, 1993.

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Nierstrasz, Oscar Marius. Message flow analysis. Toronto: Computer Systems Research Institute, University of Toronto, 1985.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. A formal model of asynchronous communication and its use in mechanically verifying a biphase mark protocol. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. A formal model of asynchronous communication and its use in mechanically verifying a biphase mark protocol. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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Rivera, Rawlinson. MCITP: Microsoft Exchange Server 2007 messaging design and deployment : study guide. Indianapolis, Ind: Wiley Pub., 2008.

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Crowley, Kay. Run-time scheduling and execution of loops on message passing machines. Hampton, Va: ICASE, 1989.

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Willmott, Robert. Technical guide to message handling systems. Manchester, England: NCC Blackwell, 1993.

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Book chapters on the topic "Message processing"

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Percy, Larry. "Message processing." In Strategic Integrated Marketing Communications, 153–75. 4th ed. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003169635-11.

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Weik, Martin H. "message processing program." In Computer Science and Communications Dictionary, 1006. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_11403.

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Weik, Martin H. "message processing system." In Computer Science and Communications Dictionary, 1006. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_11404.

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Weik, Martin H. "message processing time." In Computer Science and Communications Dictionary, 1006. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_11405.

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Sileika, Rytis. "Distributed Message Processing System." In Pro Python System Administration, 331–47. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0217-3_12.

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Weik, Martin H. "automatic message processing system." In Computer Science and Communications Dictionary, 85. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_1113.

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Aune, R. Kelly, and Rodney A. Reynolds. "Normative Message Processing Scale (NMPS)." In The Sourcebook of Listening Research, 496–503. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2017. http://dx.doi.org/10.1002/9781119102991.ch54.

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Goudreau, Mark W., and Satish B. Rao. "Single-Message vs. Batch Communication." In Algorithms for Parallel Processing, 61–74. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1516-5_3.

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Schonbein, Whit, Matthew G. F. Dosanjh, Ryan E. Grant, and Patrick G. Bridges. "Measuring Multithreaded Message Matching Misery." In Euro-Par 2018: Parallel Processing, 480–91. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96983-1_34.

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Boitet, Christian. "Message Automata for Messages with Variants, and Methods for Their Translation." In Computational Linguistics and Intelligent Text Processing, 357–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30586-6_40.

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Conference papers on the topic "Message processing"

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Dai, Jiacheng, and Yu Sun. "An Efficient AI Music Generation mobile platform Based on Machine Learning and ANN Network." In 11th International Conference on Signal & Image Processing (SIP 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121705.

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The aim of this paper is to provide a solution to the growing need for fresh music to use in media, as adding music can greatly enhance the media’s atmosphere and the viewers’ experience [6]. Our solution to this issue was the creation of a mobile application named MFly that can output music using the sentiment from an inputted message. To test the effectiveness of this new music-generating method, an experiment was conducted in which twenty-three participants inputted a message with a positive and negative sentiment each and recorded whether each outputted musical piece accurately represented the sentiment from the message [7]. A post-experiment survey was also provided to each of the participants to gauge the convenience and practicality of the application. The results indicated that MFly was largely successful at conveying messages into appropriately fitting music. However, the practicality of the application could use some work, as generating music based on the sentiment does not always seem to match up with the original inputted message's sentiment, especially with messages that have a negative sentiment. Furthermore, feedback from participants indicated that the application could still improve with the addition of more features, such as the ability to save the generated music for later use.
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Jin, Xiyou, and Jonathan Sahagun. "Deuterium: A Secure Protocol for Group Messaging with Rotating Keys and Identity Verification." In 11th International Conference on Signal Image Processing and Multimedia. Academy and Industry Research Collaboration Center (AIRCC), 2023. http://dx.doi.org/10.5121/csit.2023.130908.

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Deuterium is a protocol for instant messaging that allows users to join a channel, securely exchange messages, and rotate the group key for security purposes. When a user wants to join a channel, they must first send their public key, wallet address, and a digital signature to verify their identity. If the user's identity is successfully verified, the channel’s creator will perform an elliptic Elliptic Curve Diffie-Hellman key exchange with the user using curve25519,generating a group key for encrypting messages in the channel. The group key is periodically rotated for security purposes. Users can send messages to the channel by encrypting them with the X25519-XSalsa-Poly1305 algorithm, including a Galois Message Authentication Code instead of an index after keys are exchanged, and attaching a digital signature to verify the authenticity of the message. The protocol also includes a "Termination event" for handling errors or exceptions that may occur during key exchange or message exchange.
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Chen, Bo, David D. Linz, and Harry H. Cheng. "ACL Message-Oriented Agent Communication and Migration." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99214.

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This article presents an approach for inter-agent communication and inter-platform agent migration based on IEEE FIPA (Foundation for Intelligent Physical Agents) Agent Communication Language (ACL) messages. The promising features of IEEE FIPA standards that support open, flexible, and interoperable agent communication and migration are discussed in the paper. Messages for agent communication and migration, platform architecture that deliver and manage these messages, and the main procedure of processing a mobile agent message are also introduced. An application example, in which a mobile agent visits multiple hosts and travels via mobile agent messages, simulates a mobile agent for remote data processing. This example shows the feasibility, simplicity, and openness of the presented approach for mobile agent migration. Using FIPA ACL messages for agent migration in FIPA compliant agent systems simplifies agent platform, reduces development effort, and easily achieves inter-platform migration through well-designed communication mechanisms provided in the agent platform.
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Gorhe, Shri Promoad, Pradeep K. Sinha, Madhuri A. Joshi, M. B. Khambete, Prachi Mukherji, James L. Garrison, Pramod Kale, Hemant A. Patil, Aditya Abhyankar, and Arnab Das. "Message." In 2016 Conference on Advances in Signal Processing (CASP). IEEE, 2016. http://dx.doi.org/10.1109/casp.2016.7746228.

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Viswanathan, D. "Message." In International Conference on Signal Processing Communications and Networking. IEEE, 2008. http://dx.doi.org/10.1109/icscn.2008.4447148.

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Adekanmbi, Olubayo, Wuraola Oyewusi, Warrie Warrie, Adedayo Odukoy, Abimbola Olawale, Opeyemi Osakuade, and Mary Salami. "COVNLP: A Multisource COVID-19 Dataset for Natural Language Processing." In International Workshop on Social Impact of AI for Africa 2022. AIJR Publisher, 2024. http://dx.doi.org/10.21467/proceedings.157.2.

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In this work, we propose COVNLP, a novel dataset for natural language processing tasks. The openly available dataset consists of 3,199 de-identified peer-to-peer messages shared across different channels like Whatsapp, SMS and Social media channels from volunteers during the COVID-19 pandemic in Nigeria. The messages were labelled by both participants at submission and independent data annotators after submission under three (3) major themes; message genuity, type and impact. We discovered that the most trusted source of information for the participants during the COVID-19 pandemic were international stations, social media and websites. 31.20% of the messages received by volunteers were labelled to have psychological effects such as emotional disturbance, depression, stress, mood alterations. The dataset is available here as part of our experimentation, we developed a basic machine learning model to classify the messages into misinformation, disinformation and rumour classes based. The best performing algorithm was Logistic Regression with count vectorizer with Area under the curve (AUC) value of 0.813 compared to Naive Bayes Classifier (0.716 ) and Random Forest Classifier(0.710).
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"Message." In 2007 International Conference on Signal Processing, Communications and Networking. IEEE, 2007. http://dx.doi.org/10.1109/icscn.2007.350709.

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"Message." In 2007 International Conference on Signal Processing, Communications and Networking. IEEE, 2007. http://dx.doi.org/10.1109/icscn.2007.350710.

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"Message." In 2018 International Conference on Computer, Communication, and Signal Processing (ICCCSP). IEEE, 2018. http://dx.doi.org/10.1109/icccsp.2018.8452845.

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"Welcome message." In 2015 International Conference on Information Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/infop.2015.7489338.

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Reports on the topic "Message processing"

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Braden, R., and L. Zhang. Resource ReSerVation Protocol (RSVP) -- Version 1 Message Processing Rules. RFC Editor, September 1997. http://dx.doi.org/10.17487/rfc2209.

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Case, J., D. Harrington, R. Presuhn, and B. Wijnen. Message Processing and Dispatching for the Simple Network Management Protocol (SNMP). RFC Editor, January 1998. http://dx.doi.org/10.17487/rfc2262.

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Case, J., D. Harrington, R. Presuhn, and B. Wijnen. Message Processing and Dispatching for the Simple Network Management Protocol (SNMP). RFC Editor, January 1998. http://dx.doi.org/10.17487/rfc2272.

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Case, J., D. Harrington, R. Presuhn, and B. Wijnen. Message Processing and Dispatching for the Simple Network Management Protocol (SNMP). RFC Editor, April 1999. http://dx.doi.org/10.17487/rfc2572.

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Case, J., D. Harrington, R. Presuhn, and B. Wijnen. Message Processing and Dispatching for the Simple Network Management Protocol (SNMP). RFC Editor, December 2002. http://dx.doi.org/10.17487/rfc3412.

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Rabbin, Robert. Integrated Information Support System (IISS). Volume 6. Network Transaction Manager Subsystem. Part 6. NTM Message Processing Unit Product Specification. Fort Belvoir, VA: Defense Technical Information Center, November 1985. http://dx.doi.org/10.21236/ada182061.

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Barker, S. Integrated Information Support System (IISS). Volume 6. Network Transaction Manager Subsystem. Part 6. Network Transaction Manager (NTM) Message Processing Unit Product Specification. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada250481.

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Ball, Catherine N., Deborah Dahl, Lewis M. Norton, Lynette Hirschman, Carol Weir, and Marcia Linebarger. Answers and Questions: Processing Messages and Queries. Fort Belvoir, VA: Defense Technical Information Center, January 1989. http://dx.doi.org/10.21236/ada460228.

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Li, Howell, Tom Platte, Jijo K. Mathew, W. Benjamin Smith, Enrique Saldivar-Carranza, and Darcy M. Bullock. Using Connected Vehicle Data to Reassess Dilemma Zone Performance of Heavy Vehicles. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317321.

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The rate of fatalities at signalized intersections involving heavy vehicles is nearly five times higher than for passenger vehicles in the US. Previous studies in the US have found that heavy vehicles are twice as likely to violate a red light compared with passenger vehicles. Current technologies leverage setback detection to extend green time for a particular phase and are based upon typical deceleration rates for passenger cars. Furthermore, dilemma zone detectors are not effective when the max out time expires and forces the onset of yellow. This study proposes the use of connected vehicle (CV) technology to trigger force gap out (FGO) before a vehicle is expected to arrive within the dilemma zone limit at max out time. The method leverages position data from basic safety messages (BSMs) to map-match virtual waypoints located up to 1,050 ft in advance of the stop bar. For a 55 mph approach, field tests determined that using a 6 ft waypoint radius at 50 ft spacings would be sufficient to match 95% of BSM data within a 5% lag threshold of 0.59 s. The study estimates that FGOs reduce dilemma zone incursions by 34% for one approach and had no impact for the other. For both approaches, the total dilemma zone incursions decreased from 310 to 225. Although virtual waypoints were used for evaluating FGO, the study concludes by recommending that trajectory-based processing logic be incorporated into controllers for more robust support of dilemma zone and other emerging CV applications.
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Modlo, Yevhenii O., Serhiy O. Semerikov, Stanislav L. Bondarevskyi, Stanislav T. Tolmachev, Oksana M. Markova, and Pavlo P. Nechypurenko. Methods of using mobile Internet devices in the formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3677.

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An analysis of the experience of professional training bachelors of electromechanics in Ukraine and abroad made it possible to determine that one of the leading trends in its modernization is the synergistic integration of various engineering branches (mechanical, electrical, electronic engineering and automation) in mechatronics for the purpose of design, manufacture, operation and maintenance electromechanical equipment. Teaching mechatronics provides for the meaningful integration of various disciplines of professional and practical training bachelors of electromechanics based on the concept of modeling and technological integration of various organizational forms and teaching methods based on the concept of mobility. Within this approach, the leading learning tools of bachelors of electromechanics are mobile Internet devices (MID) – a multimedia mobile devices that provide wireless access to information and communication Internet services for collecting, organizing, storing, processing, transmitting, presenting all kinds of messages and data. The authors reveals the main possibilities of using MID in learning to ensure equal access to education, personalized learning, instant feedback and evaluating learning outcomes, mobile learning, productive use of time spent in classrooms, creating mobile learning communities, support situated learning, development of continuous seamless learning, ensuring the gap between formal and informal learning, minimize educational disruption in conflict and disaster areas, assist learners with disabilities, improve the quality of the communication and the management of institution, and maximize the cost-efficiency. Bachelor of electromechanics competency in modeling of technical objects is a personal and vocational ability, which includes a system of knowledge, skills, experience in learning and research activities on modeling mechatronic systems and a positive value attitude towards it; bachelor of electromechanics should be ready and able to use methods and software/hardware modeling tools for processes analyzes, systems synthesis, evaluating their reliability and effectiveness for solving practical problems in professional field. The competency structure of the bachelor of electromechanics in the modeling of technical objects is reflected in three groups of competencies: general scientific, general professional and specialized professional. The implementation of the technique of using MID in learning bachelors of electromechanics in modeling of technical objects is the appropriate methodic of using, the component of which is partial methods for using MID in the formation of the general scientific component of the bachelor of electromechanics competency in modeling of technical objects, are disclosed by example academic disciplines “Higher mathematics”, “Computers and programming”, “Engineering mechanics”, “Electrical machines”. The leading tools of formation of the general scientific component of bachelor in electromechanics competency in modeling of technical objects are augmented reality mobile tools (to visualize the objects’ structure and modeling results), mobile computer mathematical systems (universal tools used at all stages of modeling learning), cloud based spreadsheets (as modeling tools) and text editors (to make the program description of model), mobile computer-aided design systems (to create and view the physical properties of models of technical objects) and mobile communication tools (to organize a joint activity in modeling).
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