Academic literature on the topic 'Tea system automation project'

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Journal articles on the topic "Tea system automation project"

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Busiliru, Judith, Samson Nyang’au Paul, and Bernard Lango. "Enhancing Project Performance through Risk Reduction: Evidence from Tea System Automation in Kenya." European Journal of Management, Economics and Business 2, no. 3 (2025): 3–12. https://doi.org/10.59324/ejmeb.2025.2(3).01.

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This study examined the relationship between project risk mitigation and the performance of the Tea System Automation Project in Kenya. As automation efforts intensify within firms managed by the Kenya Tea Development Agency (KTDA), addressing risks associated with technological adoption has become critical to ensuring project success. The research explored how minimizing key risks — including technological setbacks and operational interruptions — impacts the efficiency, reliability, and overall effectiveness of the automation process. A descriptive research design was employed, focusing on project managers, executives, and other primary stakeholders involved in the implementation. Specifically, the study targeted 69 project managers, 69 project coordinators, and 207 project committee executives, amounting to 345 participants. The sampling frame comprised 69 active KTDA-managed tea processing firms, from which a sample of 185 individuals was randomly selected using the Taro Yamane (1967) sampling formula. The findings indicate that while risk mitigation strengthens project stability and concentration, it demands thorough planning and active stakeholder engagement to prevent disruptions and accountability challenges. The study’s outcomes underscore the importance of effective risk management practices in enhancing the performance of tea system automation initiatives within KTDA-managed entities and similar environments.
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Judith, Busiliru, Nyang'au Paul Samson, and Lango Bernard. "Enhancing Project Performance through Risk Reduction: Evidence from Tea System Automation in Kenya." European Journal of Management, Economics and Business 2, no. 3 (2025): 3–12. https://doi.org/10.59324/ejmeb.2025.2(3).01.

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This study examined the relationship between project risk mitigation and the performance of the Tea System Automation Project in Kenya. As automation efforts intensify within firms managed by the Kenya Tea Development Agency (KTDA), addressing risks associated with technological adoption has become critical to ensuring project success. The research explored how minimizing key risks — including technological setbacks and operational interruptions — impacts the efficiency, reliability, and overall effectiveness of the automation process. A descriptive research design was employed, focusing on project managers, executives, and other primary stakeholders involved in the implementation. Specifically, the study targeted 69 project managers, 69 project coordinators, and 207 project committee executives, amounting to 345 participants. The sampling frame comprised 69 active KTDA-managed tea processing firms, from which a sample of 185 individuals was randomly selected using the Taro Yamane (1967) sampling formula. The findings indicate that while risk mitigation strengthens project stability and concentration, it demands thorough planning and active stakeholder engagement to prevent disruptions and accountability challenges. The study’s outcomes underscore the importance of effective risk management practices in enhancing the performance of tea system automation initiatives within KTDA-managed entities and similar environments. 
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Busiliru, Judith, Samson Nyang’au Paul, and Bernard Lango. "The Relationship Between Risk Acceptance and Project Performance: Evidence from Kenya’s Tea Automation Initiative." Scientia. Technology, Science and Society 2, no. 5 (2025): 28–38. https://doi.org/10.59324/stss.2025.2(5).03.

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The implementation of tea system automation projects in Kenya has faced persistent challenges, including delays, cost escalations, technical shortcomings, and insufficient risk management. Among these, inadequate risk acceptance has emerged as a significant contributor to underperformance. This study investigates how risk acceptance influences project outcomes, focusing on 69 tea processing firms under the management of the Kenya Tea Development Agency (KTDA). Data were gathered from project managers, coordinators, and committee executives, and analyzed using descriptive statistics, correlation, and regression techniques at a 5% significance level. The results indicate a strong and statistically significant positive correlation between risk acceptance and project performance. The study finds that organizations that proactively acknowledge and manage acceptable risks—rather than avoiding or shifting them—benefit from improved adaptability, more efficient resource use, and enhanced resilience. These factors collectively lead to better project results. The research highlights the importance of integrating risk acceptance into strategic project management to ensure the effective execution and long-term viability of automation initiatives in the tea sector.
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Busiliru, Judith, Samson Nyang'au Paul, and Bernard Lango. "The Relationship Between Risk Acceptance and Project Performance: Evidence from Kenya's Tea Automation Initiative." Scientia. Technology, Science and Society 2, no. 5 (2025): 28–38. https://doi.org/10.59324/stss.2025.2(5).03.

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The implementation of tea system automation projects in Kenya has faced persistent challenges, including delays, cost escalations, technical shortcomings, and insufficient risk management. Among these, inadequate risk acceptance has emerged as a significant contributor to underperformance. This study investigates how risk acceptance influences project outcomes, focusing on 69 tea processing firms under the management of the Kenya Tea Development Agency (KTDA). Data were gathered from project managers, coordinators, and committee executives, and analyzed using descriptive statistics, correlation, and regression techniques at a 5% significance level. The results indicate a strong and statistically significant positive correlation between risk acceptance and project performance. The study finds that organizations that proactively acknowledge and manage acceptable risks—rather than avoiding or shifting them—benefit from improved adaptability, more efficient resource use, and enhanced resilience. These factors collectively lead to better project results. The research highlights the importance of integrating risk acceptance into strategic project management to ensure the effective execution and long-term viability of automation initiatives in the tea sector.
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Vaishanavi Patil, Vaibhav V.K, Thyagaraj B.G, Suprith Gowda G, Dr. Pavithra G, and Dr. T.C.Manjunath. "MUG MAGIC - Design and Development of Low-Cost Mini Tea and Coffee Machine using AI-ML concepts." international journal of engineering technology and management sciences 7, no. 6 (2023): 29–34. http://dx.doi.org/10.46647/ijetms.2023.v07i06.006.

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In this paper, the design and development of low-cost mini tea and coffee machine is being presented. The final year project work undertaken by us involves the Design and Development of Mini Tea and Coffee Machine . The aim of this project is to cater to the specific requirement of the consumer especially of small scale sector with the intention of providing the consumer with the option of selecting the types of tea/coffee he/she wants and also providing them option to select a suitable reservoir of water such as a 1 liters mineral water bottle thereby moving a step further of the machines which are available in the market for small scale organisations / industries / offices. In a fast-paced world, where time is of the essence, this mini machine offers a solution for those seeking a quick and high-quality beverage experience. This project encompasses the entire product development process, from concept ideation to final prototype. The project titled "Design and Development of Low-Cost Mini Tea and Coffee Machine using AI-ML concepts" introduces a novel approach to beverage preparation. This innovative system leverages Artificial Intelligence (AI) and Machine Learning (ML) technologies to create an affordable, compact tea and coffee machine that caters to individual preferences. The mini machine offers a user-friendly interface, allowing users to customize their beverages based on taste, strength, and other parameters. By employing AI and ML algorithms, the system learns and adapts to user preferences over time, delivering a tailored experience with each cup of tea or coffee. This project not only demonstrates the potential for technology to enhance convenience but also highlights the integration of AI and ML in everyday appliances. In summary, the project showcases a forward-looking concept that brings automation and personalization to the realm of beverage preparation, all at a low cost. It exemplifies the influence of AI and ML in redefining user experiences and convenience, hinting at a future where smart, affordable appliances cater to individual tastes and preferences. The work carried out is the seventh semester main-project by the students of Electronics & Communication Engineering under the guidance of the faculties supervision (guide).
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Kamatchi, Maharaja, Cesar Mendoza, and Kanagaraj Venusamy. "Design and Implementation of PLC based Smart Coffee Maker." IOP Conference Series: Earth and Environmental Science 1055, no. 1 (2022): 012011. http://dx.doi.org/10.1088/1755-1315/1055/1/012011.

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Abstract Automation is preferred in every production and service field to reduce human intervention to achieve high efficiency, reliability and less human effort. In this paper the design of a smart coffee maker is implemented using a Programmable Logic Controller (PLC). The proposed coffee machine includes eight different modes that offer hot drinks ranging from black coffee to white tea depending on the user’s input. Because of its durability and ease of installation and maintenance, the proposed Smart Coffee Maker system includes a PLC controller. Furthermore, the PLC monitors the input on a regular basis, and the actuators utilized in the project, such as the conveyor belt, various valves, and the lamp, are controlled based on the input and custom program downloaded in the PLC to achieve the automation of the coffee making process. Toggle switches are used to select the appropriate mode, while limit switches are used to assure the operation sequence by functioning as a control signal/input to turn the conveyor belt motor ON/OFF. The smart coffee maker technology has been tested in the laboratory and has shown to be effective.
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Nataliia, Dotsenko. "Methodological support for formation of resource requirements in multi-project environment." Technology Audit and Production Reserves 1, no. 2(51) (2020): 11–16. https://doi.org/10.15587/2519-4798.2020.196161.

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<em>The object of research is the processes of human resource management of projects in a multi-project environment. In a multi-project environment, the level of team autonomy within an organization can be different, and the lack of a resource control system at the portfolio level reduces the effectiveness of critical organization knowledge management. The main hypothesis of the study is the assumption that an adequate understanding of customer requirements is crucial to ensure project management, and the effectiveness of human resource management in a multi-project environment depends on the effectiveness of determining resource requirements in the formation of project teams.</em> <em>During the study, methods of system analysis are used in the study of human resource management processes and modeling of the formation of requirements for the project team. A competency-based approach is also used in the development of a method for generating resource requirements and an optimization theory apparatus for formulating and solving problems of forming project teams in multi-project environment under given restrictions.</em> <em>In order to reduce the likelihood of resource conflicts, it is proposed to analyze the initial data when forming requirements for the project team. Coordination of resource requirements at the stage of team formation will reduce the risks of resource conflicts during the implementation of projects included in the project portfolio. Possible results of the analysis of stakeholder requirements are considered.</em> <em>A method for generating resource requirements in a multi-project environment is proposed, based on an analysis of stakeholder interest in human resource management processes, taking into account the loyalty of stakeholders, which, unlike existing ones, takes into account the consistency of resource constraints defined by stakeholders. This will allow the formation of agreed requirements for the resources of projects and programs.</em> <em>The generated requirements are the initial data for building project teams using the proposed method of forming teams in a multi-project environment. A model of the process of forming requirements for the project team is built. For the purpose of automation, a software package has been developed that allows to generate options for building project teams with an indication of the characteristics of the options, which will further optimize the composition of the team.</em>
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Kumar, V. Jagadish, Bagadhi Sateesh ., R. Kanaka Raju, and K. Krishna Kumar4. "Tea Algorithm Based Industrial Automation System Using Xbees." International Journal of Computer Sciences and Engineering 6, no. 7 (2018): 838–45. http://dx.doi.org/10.26438/ijcse/v6i7.838845.

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Nelli, Manohar. "HOME AUTOMATION SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32505.

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The project presents the development of an advanced home automation system aimed at revolutionizing residential living through smart technologies. Leveraging Internet of Things (IoT) principles, the system integrates various sensors, actuators, and communication protocols to enable remote monitoring and control of home appliances and devices. Through a user-friendly interface accessible via mobile or web platforms, homeowners can effortlessly manage their home environment, ensuring convenience, security, and energy efficiency. The project emphasizes scalability and interoperability, paving the way for future expansion and integration with emerging smart technologies. Key Words: Home Automation System, Internet of Things (IOT), Sensors, Actuators, Remote Monitoring
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Shao, Chun Bo, Jian Zhang, and Yi Wan. "Study on Mechanical Automation With Intelligent Control System in Tea Crank." Applied Mechanics and Materials 387 (August 2013): 267–70. http://dx.doi.org/10.4028/www.scientific.net/amm.387.267.

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In this paper, based on the research of the tea intelligent crank technology parameter, we could control the temperature of the tea with the method of controlling the heating resistor through the MCU .We have designed a set of computer control system to provide a basis for the tea production automation in the future.
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Dissertations / Theses on the topic "Tea system automation project"

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Rykowski, Ronna Wynne. "Design of the IDO for the intelligent data object management system (IDOMS) project." Thesis, Kansas State University, 1986. http://hdl.handle.net/2097/9948.

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Celly, Bhrigu. "Wireless messaging and project management system." CSUSB ScholarWorks, 2002. https://scholarworks.lib.csusb.edu/etd-project/2215.

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Wireless is an important part of the future and utilizing the wireless technology in project management is a great tool. This project is a messaging system designed using WAP and Java Server pages, as both of them are the technologies of the future. The project puts together a tool to help in project management made with the use of Java Server Pages and MySQL as the backend database. It uses Wireless Markup Language as the basic language for the cellular phones and the hand held wireless devices. The prototype has been modeled on project planning for power plants done by Asea Brown Boveri, Ltd.
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Jan, Jonathan. "Collecting Data for Building Automation Analytics : A case study for collecting operational data with minimal human intervention." Thesis, KTH, Radio Systems Laboratory (RS Lab), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233319.

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Approximately 40% of the total energy consumption within the EU is due to buildings, and similar numbers can be found in the US. If the principal inefficiencies in buildings were easily identifiable, then a facility manager could focus their resources to make the buildings more efficient, which would lead to both cost savings for the facility owners and decrease the building’s ecological footprint. In building automation systems today, data is already being collected every second, but due to the lack of standardization for describing this data, having access to data is not the same as being able to make use of it. The existing heterogeneity makes it very costly to gather data from multiple buildings, thus making it difficult to understand the big picture. Facility managers cannot fix what they cannot see; thus it is important to facilitate the visualization of the data collected from all of the different building automation systems. This potentially offers great benefits with regards to both sustainability and economy. In this thesis, the author’s goal is to propose a sustainable, cost and time effective data integration strategy for real estate owners who wish to gain greater insight into their buildings’ efficiency. The study begins with a literature study to find previous and on-going attempts to solve this problem. Some initiatives for standardization of semantic models were found. Two of these models, Brick and Haystack, were chosen. One building automation system (BAS) was tested in a pilot case study, to test the appropriateness of a solution. The key results from this thesis project show that data from building automation systems, can be integrated into an analysis platform, and an extract, transform, and load (ETL) process for this is presented. How time efficiently data can be tagged and transformed into a common format is very dependent upon the current control system’s data storage format and whether information about its structure is adequate. It is also noted that there is no guarantee that facility managers have access to the control system’s database or information about how that is structured, in such cases other techniques can be used such as BACnet/IP, or Open Platform Communications (OPC) Unified Architecture.<br>Ungefär 40 % av den totala energikonsumtionen i E.U. och U.S.A. förbrukas av fastigheter. Om de delar av fastigheten som är ineffektiva enkelt kunde identifieras, skulle det underlätta fastighetsförvaltarnas arbete i att göra byggnader mer energisnåla. Detta har i sin tur potential att minska kostnader och byggnaders ekologiska fotavtryck. I dagens fastighetsautomationssystem samlas data in varje sekund, men på grund av att det saknas ett standardiserat sätt att beskriva den på, är det skillnad på att ha tillgång till data och att faktiskt kunna använda sig av den. Heterogeniteten gör att det blir både kostsamt och tidskrävande för fastighetsförvaltare att samla in data från sina fastigheter. Fastighetsförvaltare kan inte åtgärda något det inte kan se. Därför är det viktigt att underlätta möjligheten för visualisering av data från olika typer av fastighetsautomationssystem. Att lyckas med detta har potential att ge positiva effekter både när det gäller hållbarhet och ekonomi. I den här uppsatsen är författarens mål att komma fram till en hållbar, kostnads- och tidseffektiv integrationsstrategi för fastighetsförvaltare som vill få bättre insikter hur effektiv deras byggnad faktiskt är. Forskningsarbetet inleds med en litteraturstudie för att finna tidigare och pågående försök att lösa detta problem. Några initiativ för standardisering av semantiska modeller för att beskriva data inom fastighetsautomation hittades. Två av dessa, Brick och Project Haystack, valdes ut. En byggnad, och ett fastighetsautomationssystem testades i en pilotstudie. Resultaten från studien pekar på att data från fastighetautomationssystem kan integreras med en analysplattform, och en så kallad ETL-process, efter de engelska orden: extract, transform, load; presenteras för att uppnå det målet. Hur tidseffektivt data kan taggas och transformeras beror på det nuvarande kontrollsystemets datalagringsformat och om information om dess struktur är adekvat. Det noteras att det inte finns någon garanti till att få åtkomst till kontrollsystemets databas, eller information om dess struktur, därför presenteras även alternativa tekniker, däribland BACnet/IP och Open Platform Communications (OPC) Unified Architecture.
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Chinpanich, Vorapong. "Helpdesk Support Alert System." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2674.

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The goal of this project was to implement the Helpdesk Support Alert System in the Data Center Services (DCS) of California State University, San Bernardino's (CSUSB's) Information Resource and Technology Division (IRT). DCS is responsible for ensuring uninterrupted operation of all CSUSB administrative computing systems. These responsibilities include user support, system maintenance, and system security. The DCS helpdesk cannot be staffed 24 hours a day; this application is designed to alert DCS technicians of emergencies when they are away from the helpdesk. The Helpdesk Support Alert System sends out an automated emergency alert in the form of a short text message to technicians' mobile phones. Technicians respond back to their main office by using the Wireless Application Protocol (WAP) capability of their mobile phones.
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Hou, Pingyu. "Customer relationship management for banking system." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2635.

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The purpose of this project is to design, build, and implement a Customer Relationship Management (CRM) system for a bank. CRM BANKING is an online application that caters to strengthening and stabilizing customer relationships in a bank.
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Ling, Meng-Chun. "Senior health care system." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2785.

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Senior Health Care System (SHCS) is created for users to enter participants' conditions and store information in a central database. When users are ready for quarterly assessments the system generates a simple summary that can be reviewed, modified, and saved as part of the summary assessments, which are required by Federal and California law.
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Hinojosa, Santillán Iván Gonzalo, and Pacheco Piero Fernando Guzmán. "Solución Web para la automatización de los procesos del curso de taller de proyectos." Bachelor's thesis, Universidad Ricardo Palma, 2015. http://cybertesis.urp.edu.pe/handle/urp/1273.

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La Escuela de Ingeniería Informática de la Universidad Ricardo Palma ofrece dentro de su malla curricular el Curso de Taller de Proyectos, único en su forma de organización y trabajo vertical. En este curso se desarrollan proyectos de software, realizados por alumnos de diferentes ciclos y experiencia académica, los cuales desempeñan todos los roles que un proyecto requiere tal como documentador, programador, analista, diseñador, gestor de base de datos y gerente de proyecto, a lo largo del 5to ciclo y 9no ciclo de la carrera. Dicho curso empieza con la presentación de una propuesta de proyecto, por parte del alumno que desempeñara el rol de Gerente del Proyecto, el cual debe definir una problemática real en cualquier empresa o ámbito y su respectiva propuesta de solución de software. Seguidamente la Escuela, mediante un Comité Evaluador, aprueba la propuesta y comienzan a conformar los equipos de trabajo con los demás alumnos. Terminada la conformación de equipos el proyecto es desarrollado en los próximos 4 meses que dura el curso, con entregables de por medio y una calificación final al producto y al desempeño de cada integrante del equipo. Contradictoriamente, desde el inicio hasta el final del taller, el curso está organizado sin el uso de una herramienta de software, ocasionando que los involucrados realicen un trabajo excesivo y se retrase el inicio normal del curso. Es por ello que el propósito de la presente tesis es la mejora de los procesos del taller mediante una solución web que permita la automatización de sus procesos más relevantes y críticos, reduciendo las demoras y trabajos engorrosos en cada semestre académico. The School of Engineering at the University Ricardo Palma offers in its curriculum the Course Project Workshop, unique in its form of organization and vertical work. In which software projects, carried out by students from different cycles and academic experience, all of which play roles as a project requires documenter, programmer, analyst, designer, database manager and project manager, to develop throughout the 5th and 9th cycle race. The course begins with the presentation of a project proposal, by the student will play the role of Project Manager, which must define a real problem for any company or its respective field and proposal software solution. Then the School by an Evaluation Committee approves the proposal and begins to form work teams with other students. Forming teams finished the project is developed in the next four months, with deliverables through and a final grade the product and the performance of each team member. Contradictorily from the beginning to the end of the workshop is organized without the use of a software tool, causing the excessive work involved and conduct normal course start is delayed. That is why the purpose of this thesis is to improve processes through a web shop solution that enables automation of its most important and critical processes, reducing delays and cumbersome work in each semester.
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Novák, Michael. "Návrh řízení a regulace tepelného systému u RD s využitím systémové instalace LOXONE." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-318408.

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The diploma thesis deals with the division of the system installation and gives an overview of electrical appliances and heating system. It focuses on the Loxone system installation. The main part is the project documentation of wiring, programming the control of a family house and regulation of the solar thermal system for heating water and the heating system control. It also includes a simple economic evaluation of the proposed solar system.
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Dostál, Jiří. "Systém pro zpracování dat z regulátoru HAWK firmy Honeywell." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-316271.

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This thesis deals with developing program components for collection of semantically labeled data from Honeywell's Hawk controller. The basic principles and capabilities of development using Niagara Framework, on which Hawk is based, are explained. Lastly, the specific components and external database application is described.
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Stein, Shiromoto Humberto. "Stabilisation sous contraintes locales et globales." Phd thesis, Université de Grenoble, 2014. http://tel.archives-ouvertes.fr/tel-01023554.

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Dans ce travail, deux problèmes issus de la théorie de la stabilité ont été étudiés: la synthèse de loi de commandes stabilisantes et l'analyse de la stabilité des systèmes interconnectés sous contraintes locales et globales. En ce qui concerne la synthèse, la problématique a été de concevoir une loi de commande pour les systèmes où la technique de Backstepping ne peut pas être appliquée pour stabiliser globalement l'origine mais s'avère utile pour stabiliser le système autour d'un ensemble désiré. Ensuite, il a été considéré le problème de concevoir une loi de commande qui stabilise localement l'origine de telle sorte que le bassin d'attraction contienne l'ensemble attracteur global. La stabilité globale est obtenue à travers une commutation des lois de commande. Pour l'analyse, il a été considéré le cas où le théorème des petits gains ne peut pas être appliqué dans un intervalle fini des réels positifs. L'approche consiste à utiliser l'analyse des petits gains où il est applicable et, dehors de ces regions, il a été étudié la variation de la mesure de l'ensemble des solutions. Des conditions suffisantes sont fournies pour que l'ensemble des conditions initiales pour lesquelles les solutions correspondantes ne convergent pas à l'origine ait une mesure de Lebesgue à zéro.
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Books on the topic "Tea system automation project"

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Associates, Merilees. System selection project: Final report. s.n., 1988.

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Monterey Bay Area Cooperative Library System. Project Evaluation Committee. CD-ROM union catalog project: Project evaluation report, Monterey Bay Area Cooperative Library System. Monterey Bay Area Cooperative Library System, 1988.

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Monterey Bay Area Cooperative Library System. Project Evaluation Committee. CD-ROM union catalog project: Project evaluation report, Monterey Bay Area Cooperative Library System. Monterey Bay Area Cooperative Library System, 1988.

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Bills, Linda G. OCLC Experimental Project: Summary and conclusions. Illinois State Library, 1986.

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Horrocks, Jane. Report on Minisis pilot project, remote on-line 16mm film searching. Ontario Library Service, Trent, 1986.

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Research Libraries Group. Research & Development Division., ed. Patron access project, phase I. Research Libraries Group, Research & Development Division, 1986.

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Office, General Accounting. National Airspace System: Status of Wide Area Augmentation System project : report to Congressional requesters. U.S. General Accounting Office, 1998.

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Sweeney, James P. Crash course: Failure to heed early warnings, troubles of the past contributed to payroll system collapse. Senate Publications & Flags, 2013.

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Office, General Accounting. IRS' ADP budget: Issues that could affect funding of personnel system project : report to the chairman, Subcommittee on Treasury, Postal Service, and General Government, Committee on Appropriations, U.S. Senate. The Office, 1988.

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Virginia. General Assembly. Joint Legislative Audit & Review Commission. Review of the ADAPT system at the Department of Social Services: Special report of the Joint Legislative Audit and Review Commission to the Governor and the General Assembly of Virginia. Commonwealth of Virginia, 1996.

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Book chapters on the topic "Tea system automation project"

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Alves, Cátia Filipa Veiga, André Filipe Nogueira da Silva, and Maria Leonilde R. Varela. "Web System for Supporting Project Management." In Intelligent Systems, Control and Automation: Science and Engineering. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4722-7_19.

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Arauzo, José Alberto, Adolfo Lopez Paredes, and Javier Pajares. "An Agent Based Information System for Project Portfolio Management." In Balanced Automation Systems for Future Manufacturing Networks. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14341-0_27.

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Rawshan Habib, Md, Abhishek Vadher, Md Tanzimul Alam, et al. "Design of a University Thesis and Project Automation System (UTPAS)." In Proceedings of Third International Conference on Sustainable Expert Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7874-6_71.

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Kolsara, Rizvanova. "Application of TOPSIS Method for Project Proposal Selection." In 12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022). Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51521-7_43.

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Pereira, Filipe, Adriano A. Santos, António Ferreira da Silva, Nídia S. Caetano, and Carlos Felgueiras. "Automation, Project and Installation of Photovoltaic System in a Rural Farm." In Environmental Science and Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43559-1_47.

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Ya, Geng. "Research on the Application of Automation Software Control System in Tea Garden Mechanical Picking." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25128-4_241.

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Han, Sangwon, SangHyun Lee, and Moonseo Park. "Dynamic Project Management: An Application of System Dynamics in Construction Engineering and Management." In Intelligent Systems, Control and Automation: Science and Engineering. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8044-5_13.

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Xiujie, Sun, Lu Yanxia, Meng Yin, and Wu Yanan. "Research on Tender Evaluation Intelligent Decision Support System of Engineering Project." In Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31698-2_108.

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Paul, Aarti, Daniel Yaworski, Keith McConnell, Bruce Martin, Dean Sandham, and Sat Sharma. "Implementation of a Curriculum Management System at a Faculty of Medicine – Lessons Learned from a Pilot Project." In Technological Developments in Networking, Education and Automation. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9151-2_16.

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Choi, Kwan Sun, SaeRon Han, Seongyong Lee, et al. "Graduation Project: Development of an Automation System for Filter Quality Test Using LabVIEW." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4516-2_29.

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Conference papers on the topic "Tea system automation project"

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Simmons, Steven, and Roger Watson. "A System-Wide Pipeline Automation Project: Application Colonial Pipeline System." In 2002 4th International Pipeline Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/ipc2002-27026.

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This paper will discuss the objectives, challenges, and methods of implementing a system-wide pipeline automation project at Colonial Pipeline, focusing on the pilot project and early years. Currently the company is in the midst of a five-year project to automate and remotely operate delivery facilities, tank farms, and origination stations along over 5000 miles of existing pipeline. The end result will bring control of over 200 facilities into to the Central Control Center. Technically, the project goal is to install state of the art infrastructure to enhance safety and reliability, standardize to a common platform across the system, and integrate into an existing SCADA Control System. From the business perspective, the project goal is to meet or exceed typical industry guidelines for project management metrics, reach a unitized cost basis and provide a foundation for consistent and repeatable operations across the entire pipeline system. The Common Project Process (a cross-functional integrated project team strategy) and an engineering alliance are being used to define and execute the project phases. Colonial’s Engineering team recast itself in 1999 on the basis of establishing core competencies, leveraging internal talent and knowledge, and establishing an effective outsourcing strategy. This automation project is one of the first large-scale efforts to put this new model to task. In 2000, Colonial Pipeline and Mangan, Inc. formed an engineering alliance to capitalize on the strengths of both teams. Colonial’s pipeline engineering and operations knowledge have been equitably matched with Mangan’s project management, engineering and integration skills. The result is an energetic and committed technical project team, as well as a win-win opportunity for both sides. This alliance provides a valuable model for engineering team outsourcing and contracting. Except for original construction projects, it is rare for a pipeline company to take on a system-wide infrastructure upgrade opportunity of this scope. Success of the pilot project depended on integrating the field automation with SCADA system capabilities and developing both control center and human resources plans. The field hardware, the technical focus of this paper, is a small piece of the entire project objective; however it represents the foundation of the entire business model. Selecting and committing to a common controls platform was an engineering objective. The hardware had to provide a certain level of assurance that the standard model would be available both at the start and the end of the project, in addition to supporting legacy systems for future challenges. In summary, this automation project represents more than engineering and integration. It’s a combination of the talent, hardware, and vision which will accomplish the goal of the core business product — safe and efficient delivery of consumer fuels.
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Roche, Cédric. "Bell 505 Automation at Final Assembly - Project Octopus." In Vertical Flight Society 76th Annual Forum & Technology Display. The Vertical Flight Society, 2020. http://dx.doi.org/10.4050/f-0076-2020-16277.

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Functional testing of aircraft systems at final assembly has typically been a manually intensive and time consuming process. With the introduction of sophisticated avionics displays, system checkouts require numerous button presses and significant movement of the technicians in and around the aircraft to verify functionality. To accelerate functional testing, the Bell 505 team set out to eliminate most of the tedious steps by developing an easy to use computer assisted tool called "Octopus". In the process, the 505 final assembly team was able to take a fresh look at manual procedures and harvest the experience of "how things have been done" to create a better way. Working closely with the employees involved in the chain of functional testing steps, the automated process was commissioned. The resulting "Octopus" reflects the knowledge and skills of the engineers responsible for creating the functional test procedure and the technician performing the test. Having placed strong emphasis on getting "every voice heard," the Octopus automatically runs through the procedural steps to verify each function of the aircraft avionics system. As a project, the Octopus was able to remove a bottleneck from final assembly and eliminate 20 labor hours in the process.
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Lamki, Hamood, Abdallah Kalbani, Fahad Khatri, Ashish Joshi, and Amira Wahaibi. "Successful Implementation of Electronically Delivering the Limit Project for Drilling Process Optimization." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211849-ms.

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Abstract Drilling is a complex process and delivering a successful well requires identifying proper technologies and utilizing them efficiently to save time &amp; cost. Today in Oil &amp; Gas industry there is a huge focus on digital technologies to improve Drilling Process efficiency and PDO decided to implement an innovative approach of process optimization by implementing a unique project "electronically Delivering the Limit (eDtL)". The overall approach with eDtL project was to implement a platform which can provide Drilling Operations team the technical limit for all Drilling Activities, which is the theoretical minimum time required to perform an activity, based on available knowledge and technology. eDtL system utilizes rig sensors data transmitted in Real-Time from Drilling Rigs to automatically detect the Rig Activity and focus on identifying the areas of Drilling Performance Improvements and minimizing redundant tasks for rig and office teams. The identified opportunities are communicated with rig team for implementation and the performance is tracked again to highlight the improvements. eDtL system also provides capability for continuous improvement of organizational processes by introducing automation of redundant tasks. One of such improvement was partial automation of Daily Drilling Report which was historically manually recorded by rig team daily.
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Mohammed, Azharuddin, Nasser Al Busaeedi, Anwar Ali Mohamed, and Shah Saud. "Smart Project Management System (SPMS) - An Integrated and Predictive Solution for Proactively Managing Oil & Gas client Projects." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/210877-ms.

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Abstract The major challenge Project Management Teams (PMT) currently face is the isolated functionality of diverse support disciplines and their tools, leading to delayed and reactive approaches to the project issues. To become more proactive, enhance efficiency, and improve the productivity of current Project Management practices, ADNOC Gas Processing developed a Smart Project Management System (SPMS) that will: Collate and integrate, real-time project data from various software platforms currently in use. Prepare, monitor, and control all project parameters impacting the successful completion of projects. Predictive project analytics by generating automated proactive alerts with recommendations. Provide one unified interface for dashboard, reports, and predictive project management. SPMS is a technology that can add real value and drive positive change in project management and business transformations. SPMS will automate all existing processes and make available all information with drill-down dashboards for Project Planning, Scheduling, Progress Measurement, Safety, Quality, Cost and Budget and lessons learned, Change Orders, Risk Management, Document and Transmittal Management. SPMS also will provide features such as lessons learned to generate alert recommendations, Chat-BOT, and an assistant BOT technology to search the Scope of work, Contract, DGS documents…etc. To achieve our objective, the framework adapted is to include integration, automation, chat-bot, and machine learning attributes in the SPMS software solution. As part of data collection brainstorming, sessions and extensive workshops were conducted with all the project stakeholders such as Consultants, Contractors, PMC, TPI, and PMT in developing a state-of-art project management tool. Desktop reviews and interviews were conducted with product teams to evaluate various solutions such as SAP, ORACLE, ACONEX, ASSAI, WRENCH, and PM-Web as part of the feasibility study and selected a framework to develop a single software platform and to carry out a Pilot study. SPMS was implemented and the validation was carried out on two (2 No's) case study projects. The outcome of the research is that SPMS will support the Project Management team (PMT) to better focus on priority issues and maximize their productivity. A time-consuming activity i.e., Report generation of each project too will be automated with real-time, linked data to reduce man-hours. Furthermore, SPMS will provide the senior management with complete access to real-time project data through I-phones and dashboards. In addition, SPMS gives an early insight of project deviations and issues with help of cognitive intelligent solutions provided by machine learning algorithms hence, proactively enabling a project manager to act timely to deliver a project successfully. This paper covers the overview of existing and enhanced project management practices in the Oil and Gas Industry using SPMS, encountered issues, conclusions drawn and appropriate recommendations.
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Pereira, César Arboite, José Lucas Garcia Filho, Márcia Cristina Moraes, and Silvia Moraes. "WEBSMIT – Sistema Multiagente para Identificação e Atribuição Automática de Tarefas para Grupos de Trabalho Geograficamente Dispersos." In Workshop-Escola de Sistemas de Agentes, seus Ambientes e Aplicações. Sociedade Brasileira de Computação, 2010. https://doi.org/10.5753/wesaac.2010.33056.

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Software projects that involve multiple work teams have a greater complexity than other types of projects, because there are many factors that project managers need to consider. In geographically distributed projects, each team may be responsible for implementing a part of the project, and considering that they are geographically distributed it is possible to have some interaction difficulties. A system that uses multi-agent systems for automatic allocation of work teams is an interesting alternative. Such a tool helps project manager in the allocation of teams without the need of the manager to have a detailed knowledge about the skills of the available resources for selecting a team. This paper presents a prototype tool, called WEBSMIT (Multi-Agent System for Automatic Identification and Assignment of Tasks for Teams Geographically Distributed), which identify the best team available to perform the activity required for a project.
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Soilemezidis, C., J. S. Mensah, W. Hollstein, et al. "Dual Approach in Autonomous Directional Drilling: Innovations with Drillbotics 1.5 Inch Automated RSS and Virtual Rig Platforms." In SPE/IADC International Drilling Conference and Exhibition. SPE, 2025. https://doi.org/10.2118/223656-ms.

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Abstract SPE’s Drilling Systems Automation Technical Section (DSATS) sponsors the Drillbotics® autonomous drilling contest to promote advanced learning at participating universities. Two groups worked separately to drill a directional well hands-free and to connect to a well model to detect/close in a kick. This paper consolidates the efforts of both teams. Team A, the directional drilling team from the University of Mines and Technology (UMaT) in Ghana, developed a virtual model that replicated full-scale directional drilling operations, facilitating the development and testing of innovative control schemes and automation strategies. Leveraging state-of-the-art drilling software, real-time data analytics, and advanced control systems, the project demonstrated the potential of automated drilling technologies across both the planning and execution phases of drilling projects. Team B, from Technical University Clausthal (TUC) in Germany, designed and built a mini-rig that included a working scaled version of a rotary steerable system (RSS) tool to steer a wellbore through a block of sandstone to reach two non-planer targets. The work incorporates machine learning techniques to evaluate downhole sensor data and improve steering signal input. The modular design of the second-generation surface actuation system offers a more compact and efficient solution than its predecessor. The control architecture and network protocols are analyzed, demonstrating network delays of under 2 msec using a refined second-generation translator setup. The achievements of both teams are important to the future of drilling automation, as their approaches could be used to verify and validate third-party app’s communications prior to field release on full-scale rigs.
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Zhang, Longqiang, Jiahong Yan, Weining Zhao, and Weijun Huang. "Design Optimization of Modernization of I&C System Using Digital Technology in NPPs." In 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-82498.

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There was a common use of instrument and control (I&amp;C) system based on analog technology in design and construction of nuclear power plant built more than ten years ago. With the development and update of automation technology, digital control system has almost completely replaced the older generation technology in many areas of industry. For the nuclear power plant still using the analog I&amp;C system, it caused the reduction of the production lines of related components and the lack of specified technical engineer. Along with the aging and obsolescence of analog technology equipment, the unsustainability of spares prompted the owners of nuclear power plant to implement modernization using digital technologies. Different from the design of digital control system in new nuclear power plant, the modernization project design is limited by the setting of the original system. Therefore, most owners adopt the function alternative strategy to implement the upgrading project. This strategy can effectively solve the problem of spares shortage, but it is difficult to fully elaborate the advantages of digital control system. Based on the technical characteristics of digital control system and the design experience derived from new nuclear power project construction, this paper puts forward the optimized design measures, under the limitation of the old power plant, to enhance the safety and economy of the nuclear power plant after final digital upgrading.
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Dam, Vladimir, and Vladimir Poljančić. "Design of an Autonomous Robotic System for Corn Field Works." In XVI. International Conference on Logistics in Agriculture 2022. University of Maribor Press, 2022. http://dx.doi.org/10.18690/um.fl.1.2022.1.

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The task of vehicle-type product design has never been trivial. The paper shows the concept of a work in progress, a research work by a multidisciplinary team, ready to use the available and most modern automation equipment right where it is needed – down at the earth in this case. The project shall allow for autonomous 0-24 presence of specially designed device – a robot taking care of corn fields, eliminating weeds and performing other usually manual functions keeping the shape of the field and ground at level and in extent freed of limitations that can exist in case of a human labor. It is in the same time bringing some fresh interests to agriculture as such, and may even bring some part of people back to this business, rather than escaping to other nowadays more popular fields for some.
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Cabrera, N. Torres, L. Kolton, M. Pozo, et al. "Hybrid Edge-Cloud Automated Advisory System for Well Construction Ensures Well Delivery While Improving Drilling Performances." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222445-ms.

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Abstract The Fenix project will drill three horizontal extended reach (ERD) wells in a shallow-water basin offshore Argentina targeting reservoirs forecasted to produce 10 million cubic meters of gas per day once online. This gas production will satisfy a significant proportion of Argentina's growing gas demand. Due to the high-profile nature the operator sought contemporary digital technologies and processes that could be employed during the well construction process to ensure that CAPEX spend remains within the budget. Due to the wellbore geometry complexity, hole cleaning, torque and drag above drill string limits, and stuck pipe incidents are some of the main hazards identified during the project planning phase. As a hazard mitigation plan, the deployment of a digital twin combined with the drilling automated advisory was defined in the action plan. The digital platform coupled with innovative product solutions, 24/7 monitored by a remote operations center, enabled early detection of hole condition issues. A pre-established communication protocol supported data driven decision taking to implement preventive measures that avoided non-productive time (NPT), resulting in a more efficient well construction process. A cloud platform integrating real time software and data from offset wells was also implemented, providing advanced analytics to benchmark against the pre-defined key performance indicators (KPIs). The results presented in the paper are a relevant case study for drilling automation in offshore applications. The combined capability of the digital twin, the automated advisory, the cloud platform, 24/7 remote operations monitoring has proved to be instrumental to avoid NPT and invisible lost time (ILT), boosting drilling efficiency. Through the instant message group defined in the communication protocol as the primary communication channel, drilling optimization and hazard mitigation advice were delivered by the real time monitoring team, operating from the remote operations center. A physics-based models from the digital twin enables the core automated device to support the remote operations team to early detect hole cleaning issues, provide the inputs to drilling supervisors (DSV) and directional drilling engineers in the rig site with comprehensive visualization displays. The main observations derived from the Torque and Drag (T&amp;D) module, which automates the real time roadmap process, comparing the broomstick generated by the digital twin in the planning phase to the actual values are presented. The outcomes from the borehole pressure, the drilling optimization and trip speed modules as its impacts in the well construction efficiency are analyzed. This case study presents the first time ever application of the automated advisory and the cloud platform offshore Argentina. Due the relevance of project to the energy sector, the project results are a milestone for the operator and the service company. The collaborative approach adopted sets new standards for future projects in similar applications and drilling environments.
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Fadow, Olivia, Skyler Leonard, and Salim Azzouz. "Automation of a Dual Planetary Gearing Transmission Using Control Mechanisms and a Programmable Logic Controller." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95173.

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Abstract The transmission used in this project has been worked on by three senior design teams. The fourth team is currently working to design control mechanisms to automate the manual dual planetary transmission. The control mechanisms are a combination of mechanical and pneumatic systems that are controlled by a Programmable Logic Controller (PLC) program. The transmission will be used in the Machine Elements Design Laboratory to educate students on gear transmissions and levers. SolidWorks software was used to draw and simulate the mechanical parts of the control systems, before being sent to a machine shop for manufacturing. The first control system uses vertical levers and linear actuators to control the brakes, while the second uses horizontal levers and rodless pneumatic cylinders to control the clutches. Willis Gearing Theory was then used to determine the six gear ratios realized by the transmission. To automate the mechanical parts of the control systems, a program was designed and uploaded to the CPU console. A Human Machine Interface (HMI) displays the transmission’s speed and torque readings from the PLC. It is expected that the future group will the finish the automation of the transmission and proceed with the testing phase.
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Reports on the topic "Tea system automation project"

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Chien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu, and Wei Lin. Integration of Lane-Specific Traffic Data Generated from Real-Time CCTV Videos into INDOT's Traffic Management System. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317400.

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The Indiana Department of Transportation (INDOT) uses about 600 digital cameras along populated Indiana highways in order to monitor highway traffic conditions. The videos from these cameras are currently observed by human operators looking for traffic conditions and incidents. However, it is time-consuming for the operators to scan through all video data from all the cameras in real-time. The main objective of this research was to develop an automatic and real-time system and implement the system at INDOT to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Technology at Indiana University-Purdue University Indianapolis (IUPUI) and the INDOT Traffic Management Center have worked together to research and develop a system that monitors the traffic conditions based on the INDOT CCTV video feeds. The proposed system performs traffic flow estimation, incident detection, and the classification of vehicles involved in an incident. The goal was to develop a system and prepare for future implementation. The research team designed the new system, in­cluding the hardware and software components, the currently existing INDOT CCTV system, the database structure for traffic data extracted from the videos, and a user-friendly web-based server for identifying individual lanes on the highway and showing vehicle flowrates of each lane automatically. The preliminary prototype of some system components was implemented in the 2018–2019 JTRP projects, which provided the feasibility and structure of the automatic traffic status extraction from the video feeds. The 2019–2021 JTRP project focused on developing and improving many features’ functionality and computation speed to make the program run in real-time. The specific work in this 2021–2022 JTRP project is to improve the system further and implement it on INDOT’s premises. The system has the following features: vehicle-detection, road boundary detection, lane detection, vehicle count and flowrate detection, traffic condition detection, database development, web-based graphical user interface (GUI), and a hardware specification study. The research team has installed the system on one computer in INDOT for daily road traffic monitoring operations.
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Christopher, Lauren, Stanley Chien, Yaobin Chen, Mei Qiu, William Reindl, and Liya Koshy. Anomaly Detection in Traffic Patterns Using the INDOT Camera System. Purdue University, 2025. https://doi.org/10.5703/1288284317778.

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The Transportation and Autonomous Systems Institute (TASI) of Purdue University Indianapolis (PUI) and the INDOT Traffic Management Center worked together to develop a system that monitors traffic conditions using INDOT CCTV video feeds. Computer vision-based traffic anomaly detection has been studied for the past 20 years, and a thorough state-of-the-art analysis was produced in a recent survey paper. Although AI has contributed to improving anomaly detection, several major challenges remain, such as tracking errors, illumination, weather, occlusion handling, camera pose, and perspective. In addition, the lack of real-life datasets makes the effectiveness of anomaly detection techniques unclear. This project builds on previous research by using automatic anomaly detection and AI algorithms to identify anomalous behavior of the short- and long-term variations of traffic patterns. The research team designed the new system, including the hardware and software components; the existing INDOT CCTV system; the database structure for traffic data extracted from the videos; and a user-friendly web-based server for showing the anomalies automatically.
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Chien, Stanley, Yaobin Chen, Lauren Christopher, Mei Qiu, and Zhengming Ding. Road Condition Detection and Classification from Existing CCTV Feed. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317364.

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The Indiana Department of Transportation (INDOT) has approximately 500 digital cameras along highways in populated areas of Indiana. These cameras are used to monitor traffic conditions around the clock, all year round. Currently, the videos from these cameras are observed one-by-one by human operators looking for traffic conditions and incidents. The main objective of this research was to develop an automatic, real-time system to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Technology at Indiana University-Purdue University Indianapolis (IUPUI) and the Traffic Management Center of INDOT developed a system that monitors the traffic conditions based on the INDOT CCTV video feeds. The proposed system performs traffic flow estimation, incident detection, and classification of vehicles involved in an incident. The research team designed the system, including the hardware and software components added to the existing INDOT CCTV system; the relationship between the added system and the currently existing INDOT system; the database structure for traffic data extracted from the videos; and a user-friendly, web-based server for showing the incident locations automatically. The specific work in this project includes vehicle-detection, road boundary detection, lane detection, vehicle count over time, flow-rate detection, traffic condition detection, database development, web-based graphical user interface (GUI), and a hardware specification study. The preliminary prototype of some system components has been implemented in the Development of Automated Incident Detection System Using Existing ATMS CCT (SPR-4305).
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Killmeyer, Matthew. Graduate Management Project: A Qualitative Case Study on the Implementation and Effectiveness of a Purchase Order Automation System. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada372190.

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Burks, Thomas F., Victor Alchanatis, and Warren Dixon. Enhancement of Sensing Technologies for Selective Tree Fruit Identification and Targeting in Robotic Harvesting Systems. United States Department of Agriculture, 2009. http://dx.doi.org/10.32747/2009.7591739.bard.

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The proposed project aims to enhance tree fruit identification and targeting for robotic harvesting through the selection of appropriate sensor technology, sensor fusion, and visual servo-control approaches. These technologies will be applicable for apple, orange and grapefruit harvest, although specific sensor wavelengths may vary. The primary challenges are fruit occlusion, light variability, peel color variation with maturity, range to target, and computational requirements of image processing algorithms. There are four major development tasks in original three-year proposed study. First, spectral characteristics in the VIS/NIR (0.4-1.0 micron) will be used in conjunction with thermal data to provide accurate and robust detection of fruit in the tree canopy. Hyper-spectral image pairs will be combined to provide automatic stereo matching for accurate 3D position. Secondly, VIS/NIR/FIR (0.4-15.0 micron) spectral sensor technology will be evaluated for potential in-field on-the-tree grading of surface defect, maturity and size for selective fruit harvest. Thirdly, new adaptive Lyapunov-basedHBVS (homography-based visual servo) methods to compensate for camera uncertainty, distortion effects, and provide range to target from a single camera will be developed, simulated, and implemented on a camera testbed to prove concept. HBVS methods coupled with imagespace navigation will be implemented to provide robust target tracking. And finally, harvesting test will be conducted on the developed technologies using the University of Florida harvesting manipulator test bed. During the course of the project it was determined that the second objective was overly ambitious for the project period and effort was directed toward the other objectives. The results reflect the synergistic efforts of the three principals. The USA team has focused on citrus based approaches while the Israeli counterpart has focused on apples. The USA team has improved visual servo control through the use of a statistical-based range estimate and homography. The results have been promising as long as the target is visible. In addition, the USA team has developed improved fruit detection algorithms that are robust under light variation and can localize fruit centers for partially occluded fruit. Additionally, algorithms have been developed to fuse thermal and visible spectrum image prior to segmentation in order to evaluate the potential improvements in fruit detection. Lastly, the USA team has developed a multispectral detection approach which demonstrated fruit detection levels above 90% of non-occluded fruit. The Israel team has focused on image registration and statistical based fruit detection with post-segmentation fusion. The results of all programs have shown significant progress with increased levels of fruit detection over prior art.
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Fowler, Camilla. Automation in transport - Leading the UK to a driverless future. TRL, 2021. http://dx.doi.org/10.58446/tawj9464.

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The gap between technology development and automated vehicle deployment has been underestimated and the challenges involved with delivering autonomy have been far greater and more complex than first envisaged. TRL believe that in order for the UK to achieve its potential for automation in transport, the following activities are key in overcoming these challenges: Develop a UK regulatory approval system that enables the safe and secure deployment of automated vehicles in the future. A flexible and responsive regulatory system is needed that can enable innovation by streamlining entry into emerging markets and lessen the initial regulatory burden on developers and manufacturers. Provide a simple, consistent but robust approach to assuring safety during trials and testing to enable and facilitate trials across all UK locations and environments. The approach to safety assurance varies between stakeholders and this inconsistency can provide a barrier to testing in multiple locations or avoiding areas with more stringent requirements. TRL is developing a software tool that could be used to guide and support stakeholders when engaging with trialling organisations. Develop and implement a UK safety monitoring and investigation unit to monitor safety, analyse data, investigate incidents and provide timely feedback and recommended actions. TRL can identify road user behaviours that are likely to lead to a collision. These behaviours could be monitored using in-vehicle data and supplemented with environmental and location data from intelligent infrastructure. This proactive approach would drive safety improvements, promote continuous improvement, accelerate innovation and development and make Vision Zero a more realistic and achievable target. Enable more advanced trials to be undertaken in the UK where the boundaries of the technology are extended and solutions to the identified challenges are explored without compromising safety. London’s Smart Mobility Living Lab (SMLL) provides a unique real-world test facility to conduct advanced tests and validate vehicle behaviour performance. Through testing in a real-world environment and monitoring performance using cooperative infrastructure, we can accelerate learning and technology progression. Accelerate the adoption and safe implementation of automated vehicles for off- highway activities and minimise worker exposure to high risk environments and working practices within the UK and globally. As part of an Innovate funded project on Automated Off-highway Vehicles, TRL has developed and published a draft Code of Practice providing guidance to operators of automated vehicles in all sectors of the off-highway industry.
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Marsden, Eric, and Véronique Steyer. Artificial intelligence and safety management: an overview of key challenges. Foundation for an Industrial Safety Culture, 2025. https://doi.org/10.57071/iae290.

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Artificial intelligence based on deep learning, along with big data analysis, has in recent years been the subject of rapid scientific and technological advances. These technologies are increasingly being integrated into various work environments with the aim of enhancing performance and productivity. This dimension of the digital transformation of businesses and regulatory authorities presents both significant opportunities and potential risks for industrial safety management practices. While there are numerous expected benefits, such as the ability to process large volumes of reliability data or unstructured natural language incident reports, the structural opacity of large neural networks, their non-deterministic nature, and their capacity to learn from new data mean that traditional safety assurance techniques used for conventional software are not applicable. Additionally, the expansion of the scope of automatable tasks and the gradual move towards work collectives that are composed of human operators who collaborate with various intelligent machines and agents introduce new variables that must be considered alongside and integrated with the organizational and human factors of safety. What are the main challenges posed by these new technologies in terms of skills management, worker well-being, privacy protection, and the pursuit of performance that aligns with societal expectations? What changes are required in how we conceptualize the safety of high-stakes activities, how we demonstrate and verify the absence of unacceptable risks, and anticipate potential deviations? This document provides a concise overview of the most recent available information, contextualized by decades of research on automation in high-hazard systems. It focuses specifically on the projected impacts for high-hazard industries and infrastructures over the next ten years.
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Seginer, Ido, Louis D. Albright, and Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7575271.bard.

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Background Early detection and identification of faulty greenhouse operation is essential, if losses are to be minimized by taking immediate corrective actions. Automatic detection and identification would also free the greenhouse manager to tend to his other business. Original objectives The general objective was to develop a method, or methods, for the detection, identification and accommodation of faults in the greenhouse. More specific objectives were as follows: 1. Develop accurate systems models, which will enable the detection of small deviations from normal behavior (of sensors, control, structure and crop). 2. Using these models, develop algorithms for an early detection of deviations from the normal. 3. Develop identifying procedures for the most important faults. 4. Develop accommodation procedures while awaiting a repair. The Technion team focused on the shoot environment and the Cornell University team focused on the root environment. Achievements Models: Accurate models were developed for both shoot and root environment in the greenhouse, utilizing neural networks, sometimes combined with robust physical models (hybrid models). Suitable adaptation methods were also successfully developed. The accuracy was sufficient to allow detection of frequently occurring sensor and equipment faults from common measurements. A large data base, covering a wide range of weather conditions, is required for best results. This data base can be created from in-situ routine measurements. Detection and isolation: A robust detection and isolation (formerly referred to as 'identification') method has been developed, which is capable of separating the effect of faults from model inaccuracies and disturbance effects. Sensor and equipment faults: Good detection capabilities have been demonstrated for sensor and equipment failures in both the shoot and root environment. Water stress detection: An excitation method of the shoot environment has been developed, which successfully detected water stress, as soon as the transpiration rate dropped from its normal level. Due to unavailability of suitable monitoring equipment for the root environment, crop faults could not be detected from measurements in the root zone. Dust: The effect of screen clogging by dust has been quantified. Implications Sensor and equipment fault detection and isolation is at a stage where it could be introduced into well equipped and maintained commercial greenhouses on a trial basis. Detection of crop problems requires further work. Dr. Peleg was primarily responsible for developing and implementing the innovative data analysis tools. The cooperation was particularly enhanced by Dr. Peleg's three summer sabbaticals at the ARS, Northem Plains Agricultural Research Laboratory, in Sidney, Montana. Switching from multi-band to hyperspectral remote sensing technology during the last 2 years of the project was advantageous by expanding the scope of detected plant growth attributes e.g. Yield, Leaf Nitrate, Biomass and Sugar Content of sugar beets. However, it disrupted the continuity of the project which was originally planned on a 2 year crop rotation cycle of sugar beets and multiple crops (com and wheat), as commonly planted in eastern Montana. Consequently, at the end of the second year we submitted a continuation BARD proposal which was turned down for funding. This severely hampered our ability to validate our findings as originally planned in a 4-year crop rotation cycle. Thankfully, BARD consented to our request for a one year extension of the project without additional funding. This enabled us to develop most of the methodology for implementing and running the hyperspectral remote sensing system and develop the new analytical tools for solving the non-repeatability problem and analyzing the huge hyperspectral image cube datasets. However, without validation of these tools over a ful14-year crop rotation cycle this project shall remain essentially unfinished. Should the findings of this report prompt the BARD management to encourage us to resubmit our continuation research proposal, we shall be happy to do so.
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9

Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7570549.bard.

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The objectives of this project were to develop nondestructive methods for detection of internal properties and firmness of fruits and vegetables. One method was based on a soft piezoelectric film transducer developed in the Technion, for analysis of fruit response to low-energy excitation. The second method was a dot-matrix piezoelectric transducer of North Carolina State University, developed for contact-pressure analysis of fruit during impact. Two research teams, one in Israel and the other in North Carolina, coordinated their research effort according to the specific objectives of the project, to develop and apply the two complementary methods for quality control of agricultural commodities. In Israel: An improved firmness testing system was developed and tested with tropical fruits. The new system included an instrumented fruit-bed of three flexible piezoelectric sensors and miniature electromagnetic hammers, which served as fruit support and low-energy excitation device, respectively. Resonant frequencies were detected for determination of firmness index. Two new acoustic parameters were developed for evaluation of fruit firmness and maturity: a dumping-ratio and a centeroid of the frequency response. Experiments were performed with avocado and mango fruits. The internal damping ratio, which may indicate fruit ripeness, increased monotonically with time, while resonant frequencies and firmness indices decreased with time. Fruit samples were tested daily by destructive penetration test. A fairy high correlation was found in tropical fruits between the penetration force and the new acoustic parameters; a lower correlation was found between this parameter and the conventional firmness index. Improved table-top firmness testing units, Firmalon, with data-logging system and on-line data analysis capacity have been built. The new device was used for the full-scale experiments in the next two years, ahead of the original program and BARD timetable. Close cooperation was initiated with local industry for development of both off-line and on-line sorting and quality control of more agricultural commodities. Firmalon units were produced and operated in major packaging houses in Israel, Belgium and Washington State, on mango and avocado, apples, pears, tomatoes, melons and some other fruits, to gain field experience with the new method. The accumulated experimental data from all these activities is still analyzed, to improve firmness sorting criteria and shelf-life predicting curves for the different fruits. The test program in commercial CA storage facilities in Washington State included seven apple varieties: Fuji, Braeburn, Gala, Granny Smith, Jonagold, Red Delicious, Golden Delicious, and D'Anjou pear variety. FI master-curves could be developed for the Braeburn, Gala, Granny Smith and Jonagold apples. These fruits showed a steady ripening process during the test period. Yet, more work should be conducted to reduce scattering of the data and to determine the confidence limits of the method. Nearly constant FI in Red Delicious and the fluctuations of FI in the Fuji apples should be re-examined. Three sets of experiment were performed with Flandria tomatoes. Despite the complex structure of the tomatoes, the acoustic method could be used for firmness evaluation and to follow the ripening evolution with time. Close agreement was achieved between the auction expert evaluation and that of the nondestructive acoustic test, where firmness index of 4.0 and more indicated grade-A tomatoes. More work is performed to refine the sorting algorithm and to develop a general ripening scale for automatic grading of tomatoes for the fresh fruit market. Galia melons were tested in Israel, in simulated export conditions. It was concluded that the Firmalon is capable of detecting the ripening of melons nondestructively, and sorted out the defective fruits from the export shipment. The cooperation with local industry resulted in development of automatic on-line prototype of the acoustic sensor, that may be incorporated with the export quality control system for melons. More interesting is the development of the remote firmness sensing method for sealed CA cool-rooms, where most of the full-year fruit yield in stored for off-season consumption. Hundreds of ripening monitor systems have been installed in major fruit storage facilities, and being evaluated now by the consumers. If successful, the new method may cause a major change in long-term fruit storage technology. More uses of the acoustic test method have been considered, for monitoring fruit maturity and harvest time, testing fruit samples or each individual fruit when entering the storage facilities, packaging house and auction, and in the supermarket. This approach may result in a full line of equipment for nondestructive quality control of fruits and vegetables, from the orchard or the greenhouse, through the entire sorting, grading and storage process, up to the consumer table. The developed technology offers a tool to determine the maturity of the fruits nondestructively by monitoring their acoustic response to mechanical impulse on the tree. A special device was built and preliminary tested in mango fruit. More development is needed to develop a portable, hand operated sensing method for this purpose. In North Carolina: Analysis method based on an Auto-Regressive (AR) model was developed for detecting the first resonance of fruit from their response to mechanical impulse. The algorithm included a routine that detects the first resonant frequency from as many sensors as possible. Experiments on Red Delicious apples were performed and their firmness was determined. The AR method allowed the detection of the first resonance. The method could be fast enough to be utilized in a real time sorting machine. Yet, further study is needed to look for improvement of the search algorithm of the methods. An impact contact-pressure measurement system and Neural Network (NN) identification method were developed to investigate the relationships between surface pressure distributions on selected fruits and their respective internal textural qualities. A piezoelectric dot-matrix pressure transducer was developed for the purpose of acquiring time-sampled pressure profiles during impact. The acquired data was transferred into a personal computer and accurate visualization of animated data were presented. Preliminary test with 10 apples has been performed. Measurement were made by the contact-pressure transducer in two different positions. Complementary measurements were made on the same apples by using the Firmalon and Magness Taylor (MT) testers. Three-layer neural network was designed. 2/3 of the contact-pressure data were used as training input data and corresponding MT data as training target data. The remaining data were used as NN checking data. Six samples randomly chosen from the ten measured samples and their corresponding Firmalon values were used as the NN training and target data, respectively. The remaining four samples' data were input to the NN. The NN results consistent with the Firmness Tester values. So, if more training data would be obtained, the output should be more accurate. In addition, the Firmness Tester values do not consistent with MT firmness tester values. The NN method developed in this study appears to be a useful tool to emulate the MT Firmness test results without destroying the apple samples. To get more accurate estimation of MT firmness a much larger training data set is required. When the larger sensitive area of the pressure sensor being developed in this project becomes available, the entire contact 'shape' will provide additional information and the neural network results would be more accurate. It has been shown that the impact information can be utilized in the determination of internal quality factors of fruit. Until now,
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10

Jayme, Angeli, Imad Al-Qadi, Nadim Hamad, et al. Smart Mobility Blueprint for Illinois. Illinois Center for Transportation, 2023. http://dx.doi.org/10.36501/0197-9191/23-007.

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Connected, automated, shared, and electric (CASE) technologies have invoked Mobility 4.0—a connected, digitized, multimodal, and autonomous system of systems. This project established a flexible and adaptable blueprint that would streamline multidisciplinary and multistakeholder efforts as well as leverage available resources to prepare the Illinois Department of Transportation and other transportation agencies. Illinois has several strengths that make it an attractive location for CASE technology companies, including a talent pool from top-ranked universities, well-developed transportation infrastructure, government support, and a robust ecosystem of collaboration and innovation. Illinois also faces potential challenges (e.g., competition from other states and countries, limited access to funding, regulatory hurdles, and infrastructure readiness for new mobility technologies). Seven smart mobility pillars were identified in this study for Illinois—namely, connected and automated (CA) freight, scaling intelligent transportation systems, farm automation, insurance, urban mobility, CA logistics, and alternative fuels. The balanced scorecard ranked the pillars as follows (from highest): alternative fuels, scaling intelligent transportation systems, CA freight, farm automation, CA logistics, insurance, and urban mobility. Tactical focus areas were also identified per pillar and were prioritized with suggested leads and stakeholders to champion the CASE directives and opportunities. Near-term actions for Illinois were also suggested that included establishing a central structure for Illinois’ CASE program, enriching the knowledge base and experience, preparing transportation infrastructure, partnerships with external stakeholders, and expansion of laws, regulations, and policies that will help administer and grow CASE technology deployment and integration.
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