Relevant bibliographies by topics / Driver information support

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

Academic literature on the topic 'Driver information support'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Driver information support"

1

Chang, Cheng, Gen Ohbayashi, Toru Yamaguchi, and Eri Sato-Shimokawara. "Information Presentation Support of Car Robotics Simulator System Based on Humatronics." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 3 (May 20, 2011): 389–95. http://dx.doi.org/10.20965/jaciii.2011.p0389.

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Most traffic accidents are caused by drivers’ carelessness and lack of information about the surrounding objects. In this paper, authors develop information presentation support system of a car robotics system based on humatronics. The main purpose of humatronics is to establish the symmetric interaction between human and electronics system by giving the system the capability of understanding human. Car robotics system based on humatronics is used in this research. Car robotics system is developed on human centered city. In this city, systems judge the situation and autonomously support human. A car recognizes driver’s intention by car robotics system, and acquires environmental information by connecting to the network of the human centered city’s system. The environmental information is divided into two parts: foreground information and background information. Authors develop information presentation support system which presents foreground information and gackground information. Driver is supported by the system which can be used to predict the driving reaction beforehand and send a warning signal to the driver in time.
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Cauffman, Stephen J., Yulin Deng, Yunmei Liu, Christopher Cunningham, David Kaber, and Jing Feng. "Driver Logo Sign Detection and Hazard Responses during Partially Automated Driving." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 1960–64. http://dx.doi.org/10.1177/1071181320641472.

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This study investigates the presentation of service logo information under partially automated driving. Drivers completed simulated drives with partial automation during which they had to detect target logo signs and react to hazards by taking over vehicle control when needed. Driver performance was measured in terms of sign detection rate, crash rate, and hazard response time. A number of factors, including sign information source, sign information load, and driver age group, were investigated. In general, our findings support the delivery of service logo information via in-vehicle display under partially automated driving, especially when the in-vehicle display occurred simultaneously with the on-road signage. Under this presentation condition, drivers were most accurate in detecting target logo signs, and showed little impairment from processing sign information as a secondary task when negotiating a hazard. Implications of the findings and future directions were discussed.
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Hill, Melinda J., Nancy W. Hudson, Brenda M. Lantz, and Gene C. Griffin. "Commercial Vehicle Driver Family Issues Assessment." Transportation Research Record: Journal of the Transportation Research Board 1640, no. 1 (January 1998): 74–83. http://dx.doi.org/10.3141/1640-10.

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The dissatisfaction of truck drivers associated with issues related to the family is examined. This dissatisfaction is seen as a major reason for high turnover rates in the trucking industry. The nature of commercial vehicle driver work and family environments is more clearly defined through mail survey questions asked of both the driver and their spouse/partner. Specific questions in the survey address work concerns, family concerns, decision making, informational needs, communication, and leisure time. Methods to apply this information to programs of intervention and support useful to commercial vehicle companies are identified. Results indicated that family-related information would help support drivers and their families. In addition, a literature review discusses job characteristics of drivers, describes stressors for the families, and identifies possible coping skills and intervention methods.
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Laberge, Jason, Nicholas Ward, Michael Rakauskas, and Janet Creaser. "A Comparison of Work Domain and Task Analysis for Identifying Information Requirements: A Case Study of Rural Intersection Decision Support Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 4 (October 2007): 298–302. http://dx.doi.org/10.1177/154193120705100432.

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Minnesota drivers are over-represented in accidents at rural intersections and many crashes are attributable to drivers accepting unsafe gaps. In this context, intersection decision support (IDS) systems are promising technologies for supporting driver decision-making. A significant activity during IDS development is to determine the information requirements to display to drivers. To be effective, an IDS system must present information that helps drivers successfully negotiate intersections. This paper compares two methods for identifying information requirements: work domain analysis (WDA) and hierarchical task analysis (HTA). Results showed that 58% of the requirements were identified by WDA, 7% by HTA, and 35% by both methods. An analysis of driver errors at intersections during the HTA activity identified that drivers can perceive gaps at intersections in different ways. This important nuance was not captured in the WDA. Therefore, both WDA and HTA are effective methods for identifying information requirements. Discussion focuses on the importance of both WDA and HTA in IDS system development.
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Riener, Andreas, Pierre Chalfoun, and Claude Frasson. "The Potential of Subliminal Information Displays to Change Driver Behavior." Presence: Teleoperators and Virtual Environments 23, no. 1 (February 1, 2014): 51–70. http://dx.doi.org/10.1162/pres_a_00170.

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In the long history of subliminal messages and perception, many contradictory results have been presented. One group of researchers suggests that subliminal interaction techniques improve human–computer interaction by reducing sensory workload, whereas others have found that subliminal perception does not work. In this paper, we want to challenge this prejudice by first defining a terminology and introducing a theoretical taxonomy of mental processing states, then reviewing and discussing the potential of subliminal approaches for different sensory channels, and finally recapitulating the findings from our studies on subliminally triggered behavior change. Our objective is to mitigate driving problems caused by excessive information. Therefore, this work focuses on subliminal techniques applied to driver–vehicle interaction to induce a nonconscious change in driver behavior. Based on a survey of related work which identified the potential of subliminal cues in driving, we conducted two user studies assessing their applicability in real-world situations. The first study evaluated whether subtle (subliminal) vibrations could promote economical driving, and the second exposed drivers to very briefly flashed visual stimuli to assess their potential to improve steering behavior. Our results suggest that subliminal approaches are indeed feasible to provide drivers with added driving support without dissipating attention resources. Despite the lack of general evidence for uniform effectiveness of such interfaces in all driving circumstances, we firmly believe that such interfaces are valuable since they may eventually prevent accidents, save lives, and even reduce fuel costs and CO2 emissions for some drivers. For all these reasons, we are confident that subliminally driven interfaces will find their way into cars of the (near) future.
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Hashimoto, Kohjiro, Tetsuyasu Yamada, Takeshi Tsuchiya, Kae Doki, Yuki Funabora, and Shinji Doki. "Detection of contributing object to driving operations based on hidden Markov model." International Journal of Advanced Robotic Systems 16, no. 5 (September 1, 2019): 172988141987679. http://dx.doi.org/10.1177/1729881419876794.

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With increase in the number of elderly people in the Japanese society, traffic accidents caused by elderly driver is considered problematic. The primary factor of the traffic accidents is a reduction in their driving cognitive performance. Therefore, a system that supports the cognitive performance of drivers can greatly contribute in preventing accidents. Recently, the development of devices for visually providing information, such as smart glasses or head up display, is in progress. These devices can provide more effective supporting information for cognitive performance. In this article, we focus on the selection problem of information to be presented for drivers to realize the cognitive support system. It has been reported that the presentation of excessive information to a driver reduces the judgment ability of the driver and makes the information less trustworthy. Thus, indiscriminate presentation of information in the vision of the driver is not an effective cognitive support. Therefore, a mechanism for determining the information to be presented to the driver based on the current driving situation is required. In this study, the object that contributes to execution of avoidance driving operation is regarded as the object that drivers must recognize and present for drivers. This object is called as contributing object. In this article, we propose a method that selects contributing objects among the appeared objects on the current driving scene. The proposed method expresses the relation between the time series change of an appeared object and avoidance operation of the driver by a mathematical model. This model can predict execution timing of avoidance driving operation and estimate contributing object based on the prediction result of driving operation. This model named as contributing model consisted of multi-hidden Markov models. Hidden Markov model is time series probabilistic model with high readability. This is because that model parameters express the probabilistic distribution and its statistics. Therefore, the characteristics of contributing model are that it enables the designer to understand the basis for the output decision. In this article, we evaluated detection accuracy of contributing object based on the proposed method, and readability of contributing model through several experiments. According to the results of these experiments, high detection accuracy of contributing object was confirmed. Moreover, it was confirmed that the basis of detected contributing object judgment can be understood from contributing model.
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Taramov, A. A., and N. G. Shilov. "Recommender Systems for Driver Information Support: State-of-the-Art Review." Proceedings of Tomsk State University of Control Systems and Radioelectronics 21, no. 2 (2018): 68–74. http://dx.doi.org/10.21293/1818-0442-2018-21-2-68-74.

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FitzGerald, Clare. "Getting Past “Purposeful”: Exploring Dimensionality in Nonprofit Executive Performance Information Use." Journal of Public and Nonprofit Affairs 6, no. 3 (December 16, 2020): 281–302. http://dx.doi.org/10.20899/jpna.6.3.281-302.

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Although performance information use (PIU) among public managers is a growing and increasingly relevant research area, the existing evidence base has two significant limitations for those interested in its application to nonprofit executives. First, large survey investigations, the predominant method used to assess PIU behaviors, have rarely sampled outside of government. Second, despite theoretical arguments and empirical support for PIU being a multidimensional behavior, only ‘purposeful’ use (i.e., the deliberate and instrumental use of performance information in decision-making to improve organizational operations) has been examined with any regularity. Thus, in addition to developing theory around PIU for nonprofit executives (rather than just public managers within governments), I test established drivers of purposeful and political PIU using survey data from 260 nonprofit executives throughout the United States. Results show that nonprofit executive PIU is driven by different considerations than public manager PIU. Additionally, results show that leadership support of performance measurement is an important driver of purposeful and political PIU, with organizational goal clarity and networking behavior also, specifically, driving political PIU.
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KUBOTA, Shinichi, Ichiro KAGEYAMA, and Yukiyo KURIYAGAWA. "3216 Study on Indication Method of Driving Information as Driver Support System." Proceedings of the Transportation and Logistics Conference 2005.14 (2005): 259–62. http://dx.doi.org/10.1299/jsmetld.2005.14.259.

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Hollander, Cornelia, Nadine Rauh, Frederik Naujoks, Sebastian Hergeth, Josef F. Krems, and Andreas Keinath. "Methodological Approach towards Evaluating the Effects of Non-Driving Related Tasks during Partially Automated Driving." Information 11, no. 7 (June 30, 2020): 340. http://dx.doi.org/10.3390/info11070340.

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Partially automated driving (PAD, Society of Automotive Engineers (SAE) level 2) features provide steering and brake/acceleration support, while the driver must constantly supervise the support feature and intervene if needed to maintain safety. PAD could potentially increase comfort, road safety, and traffic efficiency. As during manual driving, users might engage in non-driving related tasks (NDRTs). However, studies systematically examining NDRT execution during PAD are rare and most importantly, no established methodologies to systematically evaluate driver distraction during PAD currently exist. The current project’s goal was to take the initial steps towards developing a test protocol for systematically evaluating NDRT’s effects during PAD. The methodologies used for manual driving were extended to PAD. Two generic take-over situations addressing system limits of a given PAD regarding longitudinal and lateral control were implemented to evaluate drivers’ supervisory and take-over capabilities while engaging in different NDRTs (e.g., manual radio tuning task). The test protocol was evaluated and refined across the three studies (two simulator and one test track). The results indicate that the methodology could sensitively detect differences between the NDRTs’ influences on drivers’ take-over and especially supervisory capabilities. Recommendations were formulated regarding the test protocol’s use in future studies examining the effects of NDRTs during PAD.
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Dissertations / Theses on the topic "Driver information support"

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Bremang, Asante. "Information systems design to support demand-driven supply chains." Thesis, University of Liverpool, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419012.

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Ліпчанська, Оксана Валентинівна. "Методи обробки та передачі даних для підсистеми інформаційного забезпечення машиніста локомотива." Thesis, Національний технічний університет "Харківський політехнічний інститут", 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/41022.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.05 – комп'ютерні системи та компоненти. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2019. У дисертації вирішена задача розробки методів обробки та передачі даних для підсистеми інформаційного забезпечення машиніста локомотива. На підставі вивчення сучасних методів і засобів обробки і передачі даних на залізничному транспорті встановлено, що існує суперечність між підвищенням швидкості та інтенсивності руху залізничного транспорту, збільшенням кількості аварійно-небезпечних ділянок, ускладненням системи управління залізничним транспортом, підвищенням вимог до якості інформаційного забезпечення машиніста локомотива та застосовуваними математичним апаратом і технологіями управління кодування/декодування. Обґрунтовано вибір технології математичної формалізації на основі мереж масового обслуговування та нейронних мереж. Розроблено концептуальну модель бездротового сегменту підсистеми інформаційного забезпечення машиніста локомотива, яка побудована з використанням технології 4G і враховує тип модуляції QPSK та процедуру перемежіння при передачі кадрів для зниження ймовірності помилкового прийому при забезпеченні високої швидкості передачі даних. Розроблено математичну модель процесу передачі даних по фізичному розподіленому uplink каналу, яка враховує особливості передачі даних відповідно до стандарту LTE в динамічних умовах магістралі залізниці і дозволяє оцінити ймовірносно-часові характеристики процесу передачі даних в підсистемі інформаційного забезпечення машиніста локомотива. Розроблено математичну модель управління доступом до сегменту комп'ютеризованої системи залізничного транспорту, яка враховує особливості передачі даних відповідно до стандарту LTE в динамічних умовах магістралі залізниці. Удосконалено процедуру завадостійкого декодування потокового відео, що передається в бездротовому сегменті 4G мережі підсистеми інформаційного забезпечення машиніста локомотива, що дозволяє підвищити оперативність при передачі даних, скоротити загальну кількість обчислень при декодуванні і звільнити обчислювальні ресурси комп'ютеризованої системи. Розроблено інтелектуальну систему контролю стану небезпечних ділянок залізничного шляху із застосуванням адаптованої згортальної нейронної мережі, що дозволяє підвищити достовірність розпізнавання небезпечних ситуацій на залізничних переїздах і інформувати машиніста в разі виникнення критичної ситуації. Обґрунтовано практичні рекомендації щодо застосування розроблених методів.
The thesis is in candidacy for a scientific degree of candidate of technical sciences in specialty 05.13.05 – computer systems and components. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2019. The thesis solves the problem of developing methods for processing and transmitting data for the locomotive driver's information support subsystem. Based on the study of modern methods and means of processing and transmitting data on railway transport, it is established that there is a contradiction between the increase in the speed and intensity of railway traffic, the increase in the number of emergency areas, the complexity of the railway transport management system, the increase in the requirements for railway transport safety and the applied mathematical apparatus and technologies of coding / decoding. The choice of technology of mathematical formalization based on queuing networks and neural networks is justified. A conceptual model of the wireless segment of the locomotive driver's information support subsystem has been developed, which is built using 4G technology and takes into account the QPSK modulation type and the interleaving procedure for frame transmission to reduce the probability of erroneous reception while ensuring a high data rate. A mathematical model of the process of transmitting video data over a physical distributed uplink channel that takes into account the peculiarities of video data transmission in accordance with the LTE standard under dynamic conditions of the railway main line is developed and allows to estimate a wide range of robabilitytemporal characteristics of the video data transmission process in the locomotive driver's information support subsystem. A mathematical model of access control to the segment of a locomotive driver's information support subsystem has been developed, which takes into account the peculiarities of video data transmission in accordance with the LTE standard in the dynamic conditions of the railway line. The procedure for noiseless decoding of streaming video in the wireless 4G network segment of the locomotive driver’s information support subsystem is improved. It allows to increase efficiency in data transfer, to reduce the total number of calculations during decoding and to release the computing resources of the computerized system. An intelligent system for monitoring the state of dangerous sections of the railway using an adapted convolution neural network has been developed, which makes it possible to increase the reliability of the recognition of dangerous situations at railway crossings and inform the driver in the event of a critical situation. Practical recommendations as for the developed methods application are substantiated.
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Ліпчанська, Оксана Валентинівна. "Методи обробки та передачі даних для підсистеми інформаційного забезпечення машиніста локомотива." Thesis, Національний технічний університет "Харківський політехнічний інститут", 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/40900.

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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.05 – комп'ютерні системи та компоненти. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2019. У дисертації вирішена задача розробки методів обробки та передачі даних для підсистеми інформаційного забезпечення машиніста локомотива. На підставі вивчення сучасних методів і засобів обробки і передачі даних на залізничному транспорті встановлено, що існує суперечність між підвищенням швидкості та інтенсивності руху залізничного транспорту, збільшенням кількості аварійно-небезпечних ділянок, ускладненням системи управління залізничним транспортом, підвищенням вимог до якості інформаційного забезпечення машиніста локомотива та застосовуваними математичним апаратом і технологіями управління кодування/декодування. Обґрунтовано вибір технології математичної формалізації на основі мереж масового обслуговування та нейронних мереж. Розроблено концептуальну модель бездротового сегменту підсистеми інформаційного забезпечення машиніста локомотива, яка побудована з використанням технології 4G і враховує тип модуляції QPSK та процедуру перемежіння при передачі кадрів для зниження ймовірності помилкового прийому при забезпеченні високої швидкості передачі даних. Розроблено математичну модель процесу передачі даних по фізичному розподіленому uplink каналу, яка враховує особливості передачі даних відповідно до стандарту LTE в динамічних умовах магістралі залізниці і дозволяє оцінити ймовірносно-часові характеристики процесу передачі даних в підсистемі інформаційного забезпечення машиніста локомотива. Розроблено математичну модель управління доступом до сегменту комп'ютеризованої системи залізничного транспорту, яка враховує особливості передачі даних відповідно до стандарту LTE в динамічних умовах магістралі залізниці. Удосконалено процедуру завадостійкого декодування потокового відео, що передається в бездротовому сегменті 4G мережі підсистеми інформаційного забезпечення машиніста локомотива, що дозволяє підвищити оперативність при передачі даних, скоротити загальну кількість обчислень при декодуванні і звільнити обчислювальні ресурси комп'ютеризованої системи. Розроблено інтелектуальну систему контролю стану небезпечних ділянок залізничного шляху із застосуванням адаптованої згортальної нейронної мережі, що дозволяє підвищити достовірність розпізнавання небезпечних ситуацій на залізничних переїздах і інформувати машиніста в разі виникнення критичної ситуації. Обґрунтовано практичні рекомендації щодо застосування розроблених методів.
The thesis is in candidacy for a scientific degree of candidate of technical sciences in specialty 05.13.05 – computer systems and components. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2019. The thesis solves the problem of developing methods for processing and transmitting data for the locomotive driver's information support subsystem. Based on the study of modern methods and means of processing and transmitting data on railway transport, it is established that there is a contradiction between the increase in the speed and intensity of railway traffic, the increase in the number of emergency areas, the complexity of the railway transport management system, the increase in the requirements for railway transport safety and the applied mathematical apparatus and technologies of coding / decoding. The choice of technology of mathematical formalization based on queuing networks and neural networks is justified. A conceptual model of the wireless segment of the locomotive driver's information support subsystem has been developed, which is built using 4G technology and takes into account the QPSK modulation type and the interleaving procedure for frame transmission to reduce the probability of erroneous reception while ensuring a high data rate. A mathematical model of the process of transmitting video data over a physical distributed uplink channel that takes into account the peculiarities of video data transmission in accordance with the LTE standard under dynamic conditions of the railway main line is developed and allows to estimate a wide range of robabilitytemporal characteristics of the video data transmission process in the locomotive driver's information support subsystem. A mathematical model of access control to the segment of a locomotive driver's information support subsystem has been developed, which takes into account the peculiarities of video data transmission in accordance with the LTE standard in the dynamic conditions of the railway line. The procedure for noiseless decoding of streaming video in the wireless 4G network segment of the locomotive driver’s information support subsystem is improved. It allows to increase efficiency in data transfer, to reduce the total number of calculations during decoding and to release the computing resources of the computerized system. An intelligent system for monitoring the state of dangerous sections of the railway using an adapted convolution neural network has been developed, which makes it possible to increase the reliability of the recognition of dangerous situations at railway crossings and inform the driver in the event of a critical situation. Practical recommendations as for the developed methods application are substantiated.
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4

Spönemann, Miro [Verfasser]. "Graph Layout Support for Model-Driven Engineering / Miro Spönemann." Kiel : Universitätsbibliothek Kiel, 2015. http://d-nb.info/1069290076/34.

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Helquist, Joel. "Participant-Driven Group Support Systems: An Approach to Distributed, Asynchronous Collaborative Systems." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/196028.

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This dissertation presents the Participant-driven Group Support System (PD-GSS)framework. This framework presents an approach for Group Support System (GSS)designers to accommodate distributed or asynchronous groups through the use ofdifferent technologies and processes than traditional GSS.The goal of the PD-GSS framework is to further involve the collaborativeparticipants during the workflow in an effort to reduce the load on the meetingfacilitator. As the name implies, it is the participants that are increasingly responsiblefor conducting and executing the required actions during a collaborative processes. Thesystem empowers the participants in the meeting to conduct the meeting themselves,reducing the need for a dedicated facilitator to guide the process.One of the modules from the PD-GSS framework, Peer-reviewed Brainstorming,was developed into a prototype and tested experimentally. This module requires eachbrainstorming idea to be routed through a peer-review process whereby the originalbrainstorming idea is edited for clarity and completeness. The goal of this new moduleis to reduce the number of low quality, noisy comments while increasing the quantity ofhigh quality comments.Ten six-person groups participated in the first experiment. Five groups wereplaced in a traditional electronic brainstorming GSS while the other five groups wereplaced in the peer-review treatment. The results indicate that the peer-review processdid control the brainstorming process, yielding a higher percentage of validbrainstorming ideas.The second module examined was the categorization module, allowing groups towork autonomously to identify similar ideas that should be grouped together in the samecategory or bucket. This new approach to the categorization of brainstorming ideasenables groups to work independently, asynchronously, and anonymously to organizethe brainstorming input.An existing GSS, ThinkTank by GroupSystems, was utilized. Eighty-one groupswere used in the second experiment to test the ability of groups to work independently,without a facilitator, in an attempt to organize brainstorming ideas. The groups workingsynchronously outperformed the groups working in a mock asynchronous setting.Likewise, the groups that had to categorize the fewest number of brainstorming ideasreceived the highest performance measures.
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Muntermann, Jan. "Event-driven mobile financial Information-Services : design of an intraday decision support System /." Wiesbaden : Dt. Univ.-Verl, 2007. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016494719&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Cavallin, Petter. "Data driven support of production through increased control of information parameters : A case study." Thesis, Uppsala universitet, Institutionen för samhällsbyggnad och industriell teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-419891.

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The current manufacturing business environment becomes more dependent of digital tools to increase business opportunities and customer value. The organizations ability to embrace the digital tools is dependent of a its digital maturity position. The organization structure, information systems, and communication are variables affecting the position and enables or disables possibility of data-based decisions-making (DBDM). To determine the ability information system and information flow is analyzed through a case study at one of the production departments. The areas studied in the case study are information flow of metal powder and compression tools.  The case study is performed to study the organizations ability to connecting information, study information flow and assess potential information disruption. It is assessed by using digital maturity assessments. This result provides an insight of how it affects the DBDM abilities within the department. These areas are common in a general production setting. The metal powder area is analyzed by an experiment where the metal powder containers is manually measured and evaluate the real weight compared to the depreciated weight in the information system. The compression tool analysis is performed by extracting and analyzing structured- and unstructured machine data from the production. This analytical angle is dependent of reliable data, and information disruption between the production processes and the servers is noticed during the extraction of data. This extraction process and analysis resembles the need when implementing machine learning and other automatic applications.  The 360DMA assess a general view of the organizations position and follow up with a method how to reach certain goals to increase one of the five levels. The Acatech-model is used to assess two structural areas, resources and information systems. The metal powder container analysis shows that there is a problem between the information stored in the systems regarding weight of the metal powder containers. The compression tool analysis result is that the stored data about the compression tools and the count of the different components is not correct. This and difficulties with manually- and automatically extracting data from server’s cause information disruptions and decrease the production process information reliability and validity. This decrease the ability to use the production data to make data driven decisions and gain insights about the production. The digital maturity assessment position the organization on a connectivity level (Acatech model) regarding information systems and resources means that data is unreliable and once its reliable the next level is in reach. The varying position within the 360DMA model call for management to synchronize development between processes by introducing strategies, define responsibilities and understand the information flow.
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CHAMARTY, VINOD. "INVESTIGATION OF AN INFORMATION STRUCTURE TO SUPPORT THE ELABORATION OF SIMULTANEOUS STATEMENTS IN COMPILE-DRIVEN MIXED-SIGNAL SIMULATION." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1100641876.

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Huatuco, Santos Gustavo. "Soccer Coach Decision Support System." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15136/.

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The savage essence and nature of sports means those who work on it hunt for the win. The sport enterprise is undergoing a gigantic digital transformation focused on imaging, real time and data analysis employed in the competitions. Conventional process methods in sports management such as fitness and health establishments, training, growth and match or game realisation are all being revolutionized by the sport digitization. In team sports it is well known that is needful an enough and simple digital methodology to organize and construct a feasible strategy. Digitization in sports is perpetually evolving and requires pervasive challenges. The sports and athletics digitization success is based on what is being done with collection of more data. Competitive advantages go to those who produce powerful operations using the data and acting on it in real time. The potential impact of these sport features in sport team operations is powerful. Data does not ride all decisions, but it empowers knowledgeable decisions. In these world circumstances, our vision with this system was born from a dream helping soccer sport management systems embrace and improve its contest success. Our perspective problem is how a decision support system for soccer coaches helps them to take enhancement decisions better. To face this problem we have created a soccer coach decision support system. This system is organised in two joined components; the first simulates the prediction of the soccer match winner through a data driven neural network. This component output activates the second to operate the logic rules learning and provides the stats, analysis, decision making and additionally plans improvements like drills and training procedures. This helps on the preparation towards upcoming matches as well as being aligned with their style and playing concepts. Future scalability and development, will analyse the mental and moral features of the teams by virtue of their athlete’s behavior changes.
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Gulden, Jens [Verfasser], Ulrich [Akademischer Betreuer] Frank, and Stefan [Akademischer Betreuer] Eicker. "Methodical support for model-driven software engineering with enterprise models / Jens Gulden. Gutachter: Ulrich Frank ; Stefan Eicker. Betreuer: Ulrich Frank." Duisburg, 2013. http://www.seem-method.info/.

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Books on the topic "Driver information support"

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User-driven healthcare and narrative medicine: Utilizing collaborative social networks and technologies. Hershey, PA: Medical Information Science Reference, 2011.

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Kudryakov, Sergey, Valeriy Kul'chickiy, Nikolay Povarenkin, Viktor Ponomarev, Evgeniy Rubcov, and Evgeniy Sobolev. Radio engineering support of aircraft flights and aviation telecommunications. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1242223.

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The training manual describes the basics of radio engineering support for flights, the organization of radio engineering support for flights, and the general characteristics of flight support equipment. Information is provided about drive radios, marker beacons, radio beacon landing systems, automatic direction finders, RSBN system, VOR and DME beacons, satellite navigation systems, as well as radar surveillance equipment. The basics of telecommunications, issues of aviation telecommunications, as well as information about the means of aviation telecommunications are presented. There are questions for self-control. It is intended for students studying under the specialty program in the specialty 25.05.05 "Aircraft operation and air traffic management"; for students studying under the bachelor's program in the direction of training 25.03.04 "Airport operation and aircraft flight support", as well as for students studying under the master's program in the direction 25.04.04 "Airport Operation and aircraft flight support".
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Florida. Office of Program Policy Analysis and Government Accountability. OPPAGA justification review: Law Enforcement Program should pursue outsourcing, track case outcomes, integrate information systems. Tallahassee, Fla: Office of Program Policy Analysis and Government Accountability, 2003.

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Madden, Anthony P. Informatics and technology for anaesthesia. Edited by Philip M. Hopkins. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199642045.003.0034.

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Health informatics is concerned with the structure, acquisition, and use of health information. Its origins can be traced back to the publication of Bills of Mortality by the parishes of London in the sixteenth century. Interest in health information accelerated during the late nineteenth century with the development of an internationally recognized classification of the causes of death. Further work on the classification of diseases and causes of death has resulted in the ICD-10, while SNOMED CT provides an international thesaurus of medical terms suitable for use in computerized medical record systems. In 1932, Tovell and Dunn described the systematic collection of data about anaesthetics with the aim of identifying areas for improvement. The improvement of healthcare is the main driver for the implementation of electronic patient record systems in hospitals. A natural corollary is the implementation of computerized anaesthetic information management systems. Computerized record systems can automatically store the output of physiological monitors and reduce errors with active and passive decision support. Although the recording and processing of health information in the twenty-first century almost always involves the use of computers, this can give rise to problems with security and inter-operability. Computer technology also has other uses in modern anaesthetic practice. The modelling of physiological processes and the use of simulators in the training of anaesthetists are good examples.
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Linden, Isabelle, Fatima Dargam, Pavlos Delias, and Bertrand Mareschal. Decision Support Systems VIII : Sustainable Data-Driven and Evidence-Based Decision Support: 4th International Conference, ICDSST 2018, Heraklion, ... Notes in Business Information Processing). Springer, 2018.

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Meroni, Giovanni. Artifact-Driven Business Process Monitoring: A Novel Approach to Transparently Monitor Business Processes, Supported by Methods, Tools, and Real-World ... in Business Information Processing ). Springer, 2019.

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Morris, Jeffery. The Role of Governmental Organizations in Communicating About Regulating Science. Edited by Kathleen Hall Jamieson, Dan M. Kahan, and Dietram A. Scheufele. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190497620.013.22.

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Governments rely on regulatory science to support decisions related to the protection of human health and the environment. Not only is regulatory science produced and used differently than discovery-driven science practiced outside the government, but it also has its own means of being communicated within democratic societies and has its own challenges for public engagement. This chapter examines how regulatory science is communicated within the US federal government, principally by the US Environmental Protection Agency, using nanotechnology and biotechnology as case studies to illustrate the challenges of, and opportunities for, engaging the public on the use of scientific information to inform decisions on the introduction and use of emerging technologies into society.
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Fagin, Martin M. Effects of Conversations with Sites of Public Heritage on Collective Memory. Edited by Angela M. Labrador and Neil Asher Silberman. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190676315.013.19.

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Human beings’ unique drive to immortalize the important lessons we have learned is as old as civilization itself. The drive to pass on our cultural heritage to those we are more immediately temporally linked to, and those that we are more distantly temporally linked to, must then, serve an adaptive function. For animals as socially determined as humans, public heritage, through its reciprocal relationship with collective memory, supports the development of social cohesion between individuals, and therefore allows us to coalesce into groups and societies. How is this achieved? This chapter will focus on evidence that suggests what makes it into, or out of, our public heritage is about the functional role that information plays in shaping collective identity, not its validity, and will be determined by the extended interactional dynamics of the situation. Specifically, we focus on the role that conversational dynamics play in the formation of collective memories.
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Pepinsky, Thomas B., R. William Liddle, and Saiful Mujani. Islam and Party Politics. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190697808.003.0003.

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Islamic political parties and social organizations have capitalized upon economic grievances to win popular support. But existing research has been unable to disentangle the role of Islamic party ideology from programmatic economic appeals and social services in explaining these parties’ popular support. This chapter demonstrates that Islamic party platforms function as informational shortcuts to Muslim voters, and confer a political advantage only when voters are uncertain about parties’ economic policies. Using experiments embedded in an original nationwide survey in Indonesia, we find that Islamic parties are systematically more popular than otherwise identical non-Islamic parties only under cases of economic policy uncertainty. This relationship is driven by the most pious Muslims. When respondents know economic policy platforms, Islamic parties never have an advantage over non-Islamic parties, regardless of how pious they are. Islam’s political advantage is real, but circumscribed by parties’ economic platforms and voters’ knowledge of them.
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Herndon, Joel, ed. Data Science in the Library. Cambridge University Press, 2021. http://dx.doi.org/10.29085/9781783304615.

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In the last decade, data science has generated new fields of study and transformed existing disciplines. As data science reshapes academia, how can libraries and librarians engage with this rapidly evolving, dynamic form of research? Can libraries leverage their existing strengths in information management, instruction, and research support to advance data science?<br><br><i>Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction</i> brings together an international group of librarians and faculty to consider the opportunities afforded by data science for research libraries. Using practical examples, each chapter focuses on data science instruction, reproducible research, establishing data science services and key data science partnerships.<br><br>This book will be invaluable to library and information professionals interested in building or expanding data science services. It is a practical, useful tool for researchers, students, and instructors interested in implementing models for data science service that build community and advance the discipline.
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Book chapters on the topic "Driver information support"

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Mitas, Andrzej W., Artur Ryguła, Bartłomiej Pyciński, Marcin D. Bugdol, and Witold Konior. "Driver Biomedical Support System." In Information Technologies in Biomedicine, 277–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31196-3_27.

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García-García, J. A., C. R. Cutilla, M. J. Escalona, M. Alba, and J. Torres. "NDT-Driver: A Java Tool to Support QVT Transformations for NDT." In Information Systems Development, 89–101. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-4951-5_8.

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Sommer, David, Martin Golz, Udo Trutschel, and Dave Edwards. "Biosignal Based Discrimination between Slight and Strong Driver Hypovigilance by Support-Vector Machines." In Communications in Computer and Information Science, 177–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11819-7_14.

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Jo, Hyunrae, and Minho Lee. "In-attention State Monitoring for a Driver Based on Head Pose and Eye Blinking Detection Using One Class Support Vector Machine." In Neural Information Processing, 110–17. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12640-1_14.

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Kaputa, Vladislav, Erika Loučanová, and Fernando A. Tejerina-Gaite. "Digital Transformation in Higher Education Institutions as a Driver of Social Oriented Innovations." In Innovation, Technology, and Knowledge Management, 61–85. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84044-0_4.

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AbstractHigher education institutions have in the digital transformation an opportunity to facilitate access to education for individuals of different social backgrounds. At the same time, it will provide them with the necessary tools and skills to face current global problems (poverty, health quality, income disparities, environmental crises, among others) from a transdisciplinary perspective. Progress in the digitalization of higher education has been significantly accelerated by the onset of a pandemics in early 2020 (in European conditions). Such a rapid and massive transition to distance (online) education with comprehensive support for digital technologies is unparalleled. The survey conducted reflects the consequences of this change. Results shows that digital transformation improves some of the most demanded skills in the new knowledge society (searching and processing information, digital communication and socialization or working with text). Likewise, it has an important role in reducing costs related to education, but also in degradation of abilities in personal communication.
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Sahavechaphan, Naiyana, Jedsada Phengsuwan, Suriya U-ruekolan, Kamron Aroonrua, Jukrapong Ponhan, Nattapon Harnsamut, and Sornthep Vannarat. "Pathway to Support the Sustainable National Health Information System." In Data Driven e-Science, 65–75. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8014-4_5.

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Xia, Zhongda, and Yu Zhang. "Towards Knowledge-Driven Mobility Support." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 197–216. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69066-3_18.

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Yammeesri, Jira, Seung Hwan Kang, and Sim Kim Lau. "Ontology-Driven Accounting Information System: Case Study of the Stock Exchange of Thailand." In Knowledge, Information, and Creativity Support Systems, 68–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24788-0_7.

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Marko, Vladimír. "Template Based, Designer Driven Design Pattern Instantiation Support." In Advances in Databases and Information Systems, 144–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30204-9_10.

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Danenas, Paulius, and Gintautas Garsva. "Domain Driven Development and Feature Driven Development for Development of Decision Support Systems." In Communications in Computer and Information Science, 187–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33308-8_16.

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Conference papers on the topic "Driver information support"

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Zhang, Wenbo. "Linux Kernel Driver Support to Heterogeneous System Architecture." In The fourth International Conference on Information Science and Cloud Computing. Trieste, Italy: Sissa Medialab, 2016. http://dx.doi.org/10.22323/1.264.0009.

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Albers, Albert, Sarawut Lerspalungsanti, Tobias Du¨ser, Sascha Ott, and Jiangang Wang. "A Systematic Approach to Support Drive Train Design Using Tools for Human Comfort Evaluation and Customer Classification." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49082.

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This article presents a systematic procedure and Artificial Neural Networks (ANN) based tool for comfort objectification and customer classification, to support drive train developer during the product development process. In this case, the term “comfort objectification” can be clarified as reproduction of subjectively sensed convenience of a passenger through objectively measurable values. Many factors, such as noise, vibration, physical or psychological condition of a passenger generally influence the ride comfort. The main purpose of this project is to develop the drive train and his assemblies which can sustain customers’ demand of vibration comfort. The presented methods enable the identification and the evaluation of vehicle dynamic properties from the passengers’ point of view during start-up, shifting, steering as well as other procedures in the early stage of the product development process. For instance, this tool is developed for the evaluation of ride comfort during a start-up of a front-drive, intermediate-class car. To estimate the subjective sensation, the new driver modeling tool based on ANN is developed from the way individual drivers make their assessment. This paper presents a user-friendly interface which allows both experts and users who are still short of experience in the ANN field, to create different network structures depending on the task. By means of this tool, the modeling process can be effectively simplified and shortened. As a result, the objective values captured during each drive test are efficiently correlated with the subjective sensation. Consequently, the high performance of comfort prediction can be achieved. By using self organizing map as a tool for driver classification, the different types of drivers can be considered due to their comfort expectation and style of driving. The comfort prediction concerning each driver group can then be carried out. According to the approach of virtual drive train development, in this study, the elaborated multi-body simulation models are primarily used to generate several virtual start-up processes. This enables the determination of NVH properties of the future product and allows the developer to investigate the effect of vibration like judder and jerking on the degree of ride comfort. By applying objective data from the simulation, the comfort assessment using the presented tools can be executed. In the long run, costly drive tests and cost-intensive prototypes can be partially replaced.
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Koh, Sukgyu, Bo Ram Cho, Jong-il Lee, Soon-O. Kwon, Suwoong Lee, Joon Beom Lim, Soo Beom Lee, and Hyeok-Dong Kweon. "Driver drowsiness detection via PPG biosignals by using multimodal head support." In 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2017. http://dx.doi.org/10.1109/codit.2017.8102622.

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Chachich, Alan C., Masroor Hasan, and David Cuneo. "Extraction of driver behavior information from traffic video to support microscopic traffic simulation." In Intelligent Systems & Advanced Manufacturing, edited by Marten J. de Vries, Pushkin Kachroo, Kaan Ozbay, and Alan C. Chachich. SPIE, 1998. http://dx.doi.org/10.1117/12.300846.

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Mehrabi, Naser, and John McPhee. "Steering Feel Improvement for Different Driver Types Using Model-Based Control." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34521.

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A realistic driver model can support the development of new steering technologies by reducing the time-consuming trial and error process of designing products. A neuromuscular driver model, by offering physiologically realistic steering maneuvers can provide insights into the task performance and energy consumption of the driver, including fatigue and muscle co-contraction. Here, two muscles are used in a simplified neuromuscular driver model. To study the effect of driver’s characteristics such as age, gender and physical ability on steering, the muscle parameters are adjusted to represent a particular population. Then, this modified driver model is used to to tune the Electric Power Steering (EPS) assist curves for that particular population.
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Manchala, Vamsi K., Alvaro V. Clara, Susheelkumar C. Subramanian, Sangram Redkar, and Thomas Sugar. "Human Computer Interface Using Electroencephalography for Driver Behavior Classification." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97540.

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Abstract It is important to know and be able to classify the drivers’ behavior as good, bad, keen or aggressive, which would aid in driver assist systems to avoid vehicle crashes. This research attempts to develop, test, and compare the performance of machine learning methods for classifying human driving behavior. It also proposes to correlate driver affective states with the driving behavior. The major contributions of this work are to classify the driver behavior using Electroencephalograph (EEG) while driving simulated vehicle and compare them with the behavior classified using vehicle parameters and affective states. The study involved both classical machine learning techniques such as k-Nearest Neighbor (KNN), Support Vector Machine (SVM), Artificial Neural Network (ANN) and latest “unsupervised” Hybrid Deep Learning techniques, and compared the accuracy of classification across subjects, various driving scenarios and affective states.
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Chaduvula, Siva Chaitanya, Tyler Kriegel, and Jitesh H. Panchal. "Estimation of CO2 Emissions Considering the Decisions of Multiple Drivers Within Car-Following Models." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46215.

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Decisions made by the drivers on the road have a significant impact on the traffic, as well as on their vehicular emissions. Simple decisions such as accelerating at a yellow traffic signal can alter the dynamics of traffic flow and engine operating points. Especially in cities, these decisions, cumulatively, can impact large complex systems like transportation network. For example, these can lead to unstable conditions such as traffic congestion or high concentration of emissions. In order to reduce these impacts, it is necessary to understand the drivers’ decisions, their influence on other vehicles, and the resulting impacts on emissions. This need drives the main objective of this paper, which is, to understand the relationships between the drivers decisions and vehicular CO2 emissions. In this paper, we model the drivers’ decisions by introducing a utility function for each driver in a micro-transportation model. Our hypothesis is that drivers have their own safe distance not only over front headway but also on rear headway. This usually happens when the driver chooses to change from acceleration to deceleration phases. We also propose a non-linear driver model to quantify the risk attitude of a driver based on factors such as age, experience, time of journey and the number of occupants. The Full Velocity Difference Method (FVDM) represents the traffic characteristics including speed, position, and vehicle acceleration at a traffic signal better than other car-following models. Hence, FVDM is used in our simulations. Numerical simulations show that a risk prone person results in a greater fuel consumption compared to the risk averse person. Simulation results also show that decisions made by a lead vehicle can be influenced by the follower vehicles properties such as speed and position and vice versa. The results show how driver decisions can alter the vehicular CO2 emissions. The proposed model is a step towards developing a decision support tool, which can help drivers in reducing CO2 emissions.
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Minea, Marius, Catalin Dumitrescu, and Ilona Madalina Costea. "Non-Intrusive Driver Condition Monitoring in Highly Automated Vehicles with Medical Information Support for Emergency Calling." In 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2019. http://dx.doi.org/10.1109/tsp.2019.8769094.

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Rendon-Velez, Elizabeth. "Classification and Overview of Advanced Driver Assistance Systems According to the Driving Process." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28877.

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In the field of automotive safety, Advanced Driver Assistance Systems (ADAS) that are systems designed to help the driver in its driver process, are receiving growing attention. Although the introduction of ADAS has contributed decreasing car accidents, the number of accidents is still high. This motivate us to explore the different available ADAS identifying the critical factors in order to find ways to enhance these systems. Some overviews and classifications of the ADAS field are available but the emphasis is more on the technical advances and the human machine interface rather than on the support they provide to the driver for the information processing. An overview and classification of the driver assistance systems field is presented with respect to that information processing performed by the driver when driving. The basic characteristics of these systems and the critical factors are provided. This approach allow for more appropriate identification of the priorities in the field of future research and development of ADAS regarding the driver. The proposed overview allocates the ADAS in 3 different categories on the basis of the sub process of driving they are helping (perception, analysis-decision, and action). This overview reveals that these systems besides being restricted by the sensors and the number of factors considered, they are specially limited in the consideration of drivers’ characteristics which is an important issue when human adaptation is considered.
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Drakatou, S., K. Karakassis, and A. Dentsoras. "A Fuzzy System for Train Driver Support Towards an Efficient Handling of Engine Malfunctions." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/rsafp-14477.

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Abstract In the present paper, an approach based on fuzzy logic is presented concerning a fuzzy decision support system for faults’ handling in train driving. A short introduction is given first that contains the problem’s description and its major aspects. A literature review follows that refers to the last advances in the field of man–machine interface, fuzzy logic applications and fault handling procedures in train driving. The paper emphasizes also on the important role of fuzzy logic in capturing, expressing and exploiting the existing experience on faults’ manipulation during train operation. Furthermore, a theoretical approach is proposed for the development of a fuzzy decision support system that advises the train operator on faults’ handling during its operation. Except of the advice that could offer, it is expected that — after its development — the system will be able to continuously check on-line the operator’s actions and operations in order to conclude, in a fuzzy manner, about both their correctness and efficiency and to suggest further actions and operations to be undertaken.
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Reports on the topic "Driver information support"

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Althoff, J. L., and S. Singh. Integrated Information Support System (IISS). Volume 5. Common Data Model Subsystem. Part 25. NDML Precompiler Generate Request Processor Driver Product Specification. Fort Belvoir, VA: Defense Technical Information Center, November 1985. http://dx.doi.org/10.21236/ada182013.

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Cross, Valerie, Carol Morenc, and Penny Robie. Integrated Information Support System (IISS). Volume 8. User Interface Subsystem. Part 17. Forms Driven Form Editor Development Specification. Fort Belvoir, VA: Defense Technical Information Center, November 1985. http://dx.doi.org/10.21236/ada182585.

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Morenc, Carol, Penny Robie, and Sandy Barker. Integrated Information Support System (IISS). Volume 8. User Interface Subsystem. Part 18. Forms Driven Form Editor Product Specification. Fort Belvoir, VA: Defense Technical Information Center, November 1985. http://dx.doi.org/10.21236/ada182586.

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Cao, Shoufeng, Uwe Dulleck, Warwick Powell, Charles Turner-Morris, Valeri Natanelov, and Marcus Foth. BeefLedger blockchain-credentialed beef exports to China: Early consumer insights. Queensland University of Technology, May 2020. http://dx.doi.org/10.5204/rep.eprints.200267.

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The BeefLedger Export Smart Contracts project is a collaborative research study between BeefLedger Ltd and QUT co-funded by the Food Agility CRC. This project exists to deliver economic value to those involved in the production, export and consumption of Australian beef to China through: (1) reduced information asymmetry; (2) streamlined compliance processes, and; (3) developing and accessing new data-driven value drivers, through the deployment of decentralised ledger technologies and associated governance systems. This report presents early insights from a survey deployed to Chinese consumers in Nov/Dec 2019 exploring attitudes and preferences about blockchain-credentialed beef exports to China. Our results show that most local and foreign consumers were willing to pay more than the reference price for a BeefLedger branded Australian cut and packed Sirloin steak at the same weight. Although considered superior over Chinese processed Australian beef products, the Chinese market were sceptical that the beef they buy was really from Australia, expressing low trust in Australian label and traceability information. Despite lower trust, most survey respondents were willing to pay more for traceability supported Australian beef, potentially because including this information provided an additional sense of safety. Therefore, traceability information should be provided to consumers, as it can add a competitive advantage over products without traceability.
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Kohlitz, Jeremy, Naomi Carrard, and Juliet Willett. Support Mechanisms to Strengthen Equality and Non-Discrimination (EQND) in Rural Sanitation (Part 2 of 2). Institute of Development Studies (IDS), July 2019. http://dx.doi.org/10.19088/slh.2020.003.

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A renewed focus on equity is being driven by the Human Rights to Water and Sanitation framework and Sustainable Development Goal 6.2, which emphasise the importance of adequate and equitable sanitation for all. However, as raised in Part 1 of this issue on equality and non-discrimination (EQND), there is evidence that CLTS processes for achieving community-wide outcomes are not always systematic, adequate, sustained, or sufficient to meet the needs of disadvantaged groups. A compilation of 50 CLTS and rural sanitation programmes around the world that significantly used support mechanisms was gathered to inform this issue. Our rapid review of the programmes found that although numerous trials existed, few had been taken to scale, few were located outside of Asia, and many did not have disaggregated monitoring and evaluation information that is publicly shared or collected at all. This issue therefore emphasises the importance of monitoring, evaluating and knowledge sharing processes in building an evidence base for facilitating equitable rural sanitation outcomes.
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Ripoll, Santiago, Jennifer Cole, Olivia Tulloch, Megan Schmidt-Sane, and Tabitha Hrynick. SSHAP: 6 Ways to Incorporate Social Context and Trust in Infodemic Management. Institute of Development Studies (IDS), January 2021. http://dx.doi.org/10.19088/sshap.2021.001.

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Information epidemiology or infodemiology is the study of infodemics - defined by the World Health Organization as an overabundance of information, some accurate and some not, that occurs during a pandemic or other significant event that may impact public health. Infodemic management is the practice of infodemiology and may sit within the risk communication and community engagement (RCCE) pillar of a public health response. However, it is relevant to all aspects of preparedness and response, including the development and evaluation of interventions. Social scientists have much to contribute to infodemic management as, while it must be data and evidence driven, it must also be built on a thorough understanding of affected communities in order to develop participatory approaches, reinforce local capacity and support local solutions.
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Ripoll, Santiago, Jennifer Cole, Olivia Tulloch, Megan Schmidt-Sane, and Tabitha Hrynick. SSHAP: 6 Ways to Incorporate Social Context and Trust in Infodemic Management. Institute of Development Studies (IDS), January 2021. http://dx.doi.org/10.19088/sshap.2021.001.

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Information epidemiology or infodemiology is the study of infodemics - defined by the World Health Organization as an overabundance of information, some accurate and some not, that occurs during a pandemic or other significant event that may impact public health. Infodemic management is the practice of infodemiology and may sit within the risk communication and community engagement (RCCE) pillar of a public health response. However, it is relevant to all aspects of preparedness and response, including the development and evaluation of interventions. Social scientists have much to contribute to infodemic management as, while it must be data and evidence driven, it must also be built on a thorough understanding of affected communities in order to develop participatory approaches, reinforce local capacity and support local solutions.
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Schmidt-Sane, Megan, Tabitha Hrynick, Jennifer Cole, Santiago Ripoll, and Olivia Tulloch. SSHAP: 6 Ways to Incorporate Social Context and Trust in Infodemic Management. Institute of Development Studies (IDS), January 2021. http://dx.doi.org/10.19088/sshap.2021.009.

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Information epidemiology or infodemiology is the study of infodemics - defined by the World Health Organization as an overabundance of information, some accurate and some not, that occurs during a pandemic or other significant event that may impact public health. Infodemic management is the practice of infodemiology and may sit within the risk communication and community engagement (RCCE) pillar of a public health response. However, it is relevant to all aspects of preparedness and response, including the development and evaluation of interventions. Social scientists have much to contribute to infodemic management as, while it must be data and evidence driven, it must also be built on a thorough understanding of affected communities in order to develop participatory approaches, reinforce local capacity and support local solutions.
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Namen, Olga, Emma Näslund-Hadley, and María Loreto Biehl. Improving Early Childhood Development Outcomes in Times of COVID-19: Experimental Evidence on Parental Networks and SMS Messages. Inter-American Development Bank, January 2022. http://dx.doi.org/10.18235/0003913.

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This paper presents novel evidence of an intervention to foster preschool students cognitive skills during COVID-19 pandemic. We conducted a policy experiment that provided preschool student parents with a SMS text message program to support student learning at home. Taking advantage of existing parent networks, we study the direct effect of being selected to receive the SMS text messages, and the spillovers of being part of a parent network. We show that after 15 weeks of intervention, SMS text messages increase student cognitive skills by 0.11 to 0.12 standard deviations. The effect is driven by an increase of parental involvement through the proposed activities. We find no evidence that information is transferred within parent networks.
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Seale, Maria, Natàlia Garcia-Reyero, R. Salter, and Alicia Ruvinsky. An epigenetic modeling approach for adaptive prognostics of engineered systems. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41282.

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Prognostics and health management (PHM) frameworks are widely used in engineered systems, such as manufacturing equipment, aircraft, and vehicles, to improve reliability, maintainability, and safety. Prognostic information for impending failures and remaining useful life is essential to inform decision-making by enabling cost versus risk estimates of maintenance actions. These estimates are generally provided by physics-based or data-driven models developed on historical information. Although current models provide some predictive capabilities, the ability to represent individualized dynamic factors that affect system health is limited. To address these shortcomings, we examine the biological phenomenon of epigenetics. Epigenetics provides insight into how environmental factors affect genetic expression in an organism, providing system health information that can be useful for predictions of future state. The means by which environmental factors influence epigenetic modifications leading to observable traits can be correlated to circumstances affecting system health. In this paper, we investigate the general parallels between the biological effects of epigenetic changes on cellular DNA to the influences leading to either system degradation and compromise, or improved system health. We also review a variety of epigenetic computational models and concepts, and present a general modeling framework to support adaptive system prognostics.
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