Academic literature on the topic 'Machinery cooperatives'

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Journal articles on the topic "Machinery cooperatives"

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He, Pengfei, Jing Li, and Xin Wang. "Wheat harvest schedule model for agricultural machinery cooperatives considering fragmental farmlands." Computers and Electronics in Agriculture 145 (February 2018): 226–34. http://dx.doi.org/10.1016/j.compag.2017.12.042.

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Mudrak, R. P. "Increasing the competitiveness of agricultural producers and developing of the cooperation." Collected Works of Uman National University of Horticulture 2, no. 97 (December 28, 2020): 187–98. http://dx.doi.org/10.31395/2415-8240-2020-97-2-187-198.

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One of the reasons for the insufficient level of competitiveness of domestic agricultural producers is the low level of economic culture. The problem is of a systemic nature, since it is not limited only to the operation of outdated technologies, morally and physically worn out equipment. The same goes for morally outdated management, organizational, marketing approaches, etc. This problem is most acute in the small-scale sector of agricultural producers. There are a large number of small-scale agricultural producers in Ukraine. Their characteristic feature is the use of low-intensity resource-intensive technologies. This makes them less competitive. The management and marketing of small-scale economic units is primitive. Their biggest problem is the excessive costs of material and technical supplies and the loss of part of the income in the sale of finished products. The reason is the unsatisfactory level of economic coordination at these stages of production. The uncontested form of increasing the competitive position of small-scale agricultural producers is the creation of service cooperatives. Their task is to ensure a significant improvement in the organization and management of material and technical supply and the promotion of their products in the market. The proliferation of service cooperatives is restrained by imperfect legislation, a weak material base and a shortage of resources, and a lack of qualified personnel. A positive step towards state stimulation of the development of the rural cooperative movement was the Resolution of the Cabinet of Ministers of Ukraine dated June 3, 2020, No. 447. The adopted amendments removed restrictions on the areas of activity of agricultural service cooperatives that can benefit from financial support and the mandatory number of members in it. The list of domestic machinery and equipment has also been expanded by eliminating the condition for their compliance with the list of domestic machinery and equipment for the agro-industrial complex, the cost of which is partially compensated by the state budget.
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Tongchure, Siros. "Cassava Smallholders’ Participation in Contract Farming in Nakhon Ratchasrima Province, Thailand." Journal of Social and Development Sciences 4, no. 7 (July 30, 2013): 332–38. http://dx.doi.org/10.22610/jsds.v4i7.769.

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The most important raw materials for bio-ethanol in Thailand are cassava, sugar cane and molasses. However, cassava has been promoted as a feed stock for ethanol due to the minimal inputs for planting, high productivity and all-year planting and harvesting. The most important factor influencing ethanol using cassava production is the price of cassava feedstock. Contract farming could decrease production costs, increase efficiency in markets, provide lower interest rates, decrease risk management and create symmetric information for cassava smallholders. The scope of this study includes cassava cultivation and factors influencing contract participation using logit analysis. Results from a survey consisting of 130 non-contractors and 127 contractors showed there was a verbal communication between farmers and agricultural cooperatives and written contractual agreement between agricultural cooperatives and processors. In addition, contract participation is significantly influenced by gender of household head, education of household members, number of agricultural groups, input costs, machinery costs, incomes and credit access.
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Wright, I. A., and N. I. Malmakov. "Sheep productivity in private flocks in Kazakstan." Proceedings of the British Society of Animal Science 2002 (2002): 61. http://dx.doi.org/10.1017/s1752756200007171.

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During the Soviet era, state or collective farms on the rangelands of Kazakstan moved livestock between winter, spring, summer and autumn pastures in different ecological zones. By the end of the Soviet era, livestock production was still based partly on the traditional migratory system, but had become heavily dependent on supplementary winter feed over the harsh winters. When the majority of former state and collective farms became cooperatives in the mid 1990s, they retained the same management structure, but individuals became members of the cooperatives or had the right to a share of the assets (e.g. livestock, machinery, access to land) and become private farmers. Many individuals, who remained cooperative members and are not private farmers, still keep private livestock. There are, in addition, an increasing number of private farmers. Most flock owners cannot now afford to follow a four-season migratory system of sheep management nor to obtain sufficient winter feed of good quality. Small-scale flock owners with less than about one hundred sheep lack the resources (e.g. family labour, transport) to move animals the long distance between the different pastures. There has been a large decrease in sheep numbers and there is now excess pasture in all ecological zones, as many sheep now spend the whole year within 10 km of the home village or private farm. However they need to be supplied with winter fodder since the vegetation ceases to grow in autumn and is often covered in snow from December to March. The aim of the present study was to determine current management practices and their effects on sheep productivity.
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Gross, Radosław. "Simple forms of agricultural cooperation as covert methods of collectivisation." Masuro-⁠Warmian Bulletin 307, no. 1 (May 20, 2020): 83–98. http://dx.doi.org/10.51974/kmw-134787.

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Along with the change in the agricultural policy in 1948 that was inspired by the Kremlin and imposed during the 2nd Cominform in Bucharest, the collectivisation of the rural area became a doctrinal issue in the agricultural policy of Communist states. Apart from the direct methods of collectivisation that concerned strong administrative and economic pressures towards the peasants, the authorities also undertook actions that were to introduce the production cooperatives in a more clouded manner. These included, among others, establishing self–help villages, joint agreements between the villagers and State Machinery Centres (Pol. Państwowe Ośrodki Maszynowe, POM) for machinery services for their fields, developing simple forms of agricultural cooperation in the arbitrarily created units for cultivation, grassland, farming, etc. These activities, aided by a system of con-cessions and preferences, brought certain results, especially towards the end of the discussed period. They prove the wide array of measures and methods used by the Communist authorities in their attempts at collectivisation.
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Koutsou, Stavriani, and Panagiota Sergaki. "Producers’ cooperative products in short food supply chains: consumers’ response." British Food Journal 122, no. 1 (October 31, 2019): 198–211. http://dx.doi.org/10.1108/bfj-05-2018-0297.

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Purpose The purpose of this paper is to investigate an innovation concerning a short food supply chain (SFSC) created by a newly established producers’ cooperative in Greece that sells fresh milk to consumers via automatic vending machines; the consumers’ response toward this innovation; and the financial performance of the cooperative. Design/methodology/approach The case study focused on consumer’s attitudes toward the cooperative’s fresh milk sold by automatic vending machines and the cooperative’s financial performance. A structured questionnaire was answered by 912 consumers in Thessaloniki during 2015 and analyzed using the IBM SPSS STATISTICS program, version 22. Additionally, the cooperative’s financial data (2012–2015) were used in order to calculate its financial performance. Findings The authors identified five unique consumer categories according to consumer motive, of which social motives are considered in the sample as the most important. The cooperative’s financial indicators are satisfying, especially taking into consideration the severe economic crisis in Greece over the past years. Research limitations/implications It is difficult to evaluate Thesgala as there exists no similar producer cooperative in SFSCs in Greece. The cooperative is recently established and therefore financial indicators represent a short time period. Practical implications Producers, especially small ones in remote or peri-urban areas, can be involved in a SFCS and reach consumers via their cooperatives (or by founding a cooperative). Producer’s cooperatives can include SFSCs in their strategic planning in order to stimulate changes in the food system for the benefit of both producers and consumers. Social implications Policy makers should orient the appropriate policy measures to support SFSCs for the benefit of society as a whole. Originality/value The research investigates an SFSC that was created as a producer’s initiative (not a consumer’s) via their cooperative. It advances knowledge of how to initiate changes in the food system.
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Yefimtseva, L. "STATE SUPPORT OF AGRO-TECHNOLOGICAL COOPERATIVES FOR THE JOINT USE OF MACHINERY IN UKRAINE AS ONE OF THE MEANS TECHNICAL SUPPORT FOR SMALL FARMERS." Ekonomika ta derzhava, no. 2 (February 25, 2021): 123. http://dx.doi.org/10.32702/2306-6806.2021.2.123.

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Martell, Jessica. "Food Sovereignty, the Irish Homestead, and the First World War." Modernist Cultures 13, no. 3 (August 2018): 399–416. http://dx.doi.org/10.3366/mod.2018.0219.

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At the outbreak of the First World War, George Russell (Æ) published a series of editorials in the Irish Homestead calling for Ireland to secure food reserves against the demands he predicted Britain would make upon Irish agricultural sectors to fuel the war effort. Irish agriculture, Russell writes, is part of a peculiar market shaped by empire: ‘Ireland is a food producing nation’; and yet ‘a machinery of export […] automatically deducts’ Irish cattle, pork, butter, milk, poultry, and eggs, ‘week by week’, while ‘week by week’ bacon, meat, flour, and other goods are imported. The machinery of war, it is implied, could easily disrupt these trade channels and trigger a scarcity crisis. Such an event would not be caused by an actual food shortage but by the unpredictable pressures of wartime markets, in which what Russell calls ‘famine prices’ would deplete food reserves. By analyzing Russell's strategic deployment of the language of colonial economics, this article argues that Russell recirculates the cultural memory of Ireland's Great Famine within Revivalist discourse in order to protest the conscription of Ireland's food reserves, rallying support for co-operatives as a matter of national defense. Co-operation dispels perceptions of Ireland as a quaint backwater of sleepy farms and reveals a competing vision of rural modernity that contrasts sharply with the terrifying military technologies and sense of a traumatic break with the past that typically anchor understandings of modernity in the era. For Russell, securing food sovereignty through self-sufficient, decentralized cooperatives could secure political sovereignty for the modern Irish nation, providing a blueprint for a new social order as geopolitical categories were re-constellated by global conflict.
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Wu, Caicong, Zhibo Chen, Dongxu Wang, Bingbing Song, Yajie Liang, Lili Yang, and Dionysis D. Bochtis. "A Cloud-Based In-Field Fleet Coordination System for Multiple Operations." Energies 13, no. 4 (February 11, 2020): 775. http://dx.doi.org/10.3390/en13040775.

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In large-scale arable farming, multiple sequential operations involving multiple machines must be carried out simultaneously due to restrictions of short time windows. However, the coordination and planning of multiple sequential operations is a nontrivial task for farmers, since each operation may have its own set of operational features, e.g., operating width and turning radius. Taking the two sequential operations—hoeing cultivation and seeding—as an example, the seeder has double the width of the hoeing cultivator, and the seeder must remain idle while waiting for the hoeing cultivator to finish two rows before it can commence its seeding operation. A flow-shop working mode can coordinate multiple machines in multiple operations within a field when different operations have different implement widths. To this end, an auto-steering-based collaborative operating system for fleet management (FMCOS) was developed to realize an in-field flow-shop working mode, which is often adopted by the scaled agricultural machinery cooperatives. This paper proposes the structure and composition of the FMCOS, the method of operating strip segmenting, and a new algorithm for strip state updating between successive field operations under an optimal strategy for waiting time conditioning between sequential operations. A simulation model was developed to verify the state-updating algorithm. Then, the prototype system of FMCOS was combined with auto-steering systems on tractors, and the collaborative operating system for the server was integrated. Three field experiments of one operation, two operations, and three operations were carried out to verify the functionality and performance of FMCOS. The results of the experiment showed that the FMCOS could coordinate in-field fleet operations while improving both the job quality and the efficiency of fleet management by adopting the flow-shop working mode.
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Gorbanyuk, V. O. "Market-oriented model of organization of agricultural services, non-profit cooperatives for the use of dairy resources." Scientific Messenger of LNU of Veterinary Medicine and Biotechnologies 21, no. 92 (May 11, 2019): 129–36. http://dx.doi.org/10.32718/nvlvet-e9222.

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The strategic goal of economic and social policy in the countryside should be to ensure an integrated multifunctional development of communities, which would increase their role not only in the development of agricultural production, but also in other types of labor activities, and also, which is very important, to ensure a favorable environment for their living. Thus, the strategic foundation of this solution is the development of the productive forces of each rural community. Therefore, the orientation of the rural communities, especially the united ones, to its own resources and opportunities is the strategic basis for the revival of the Ukrainian peasantry, and given the amount of unemployed population living in rural areas today, it has a rational content. In this context, state aid could take part in the development of a Comprehensive rural development program and the revival of the peasantry, with regard to possibilities of each community, based on the new economic policy, the basis and strategic base of which should be mass co-operative movement. Due to the association of small rural producers, their contribution to the production of gross agricultural products will be significantly appreciable, so effective assistance to power structures of all levels, especially legal ones, could actually, in a short period of time, affect the increase in the profitability of their management, the creation of acceptable social conditions, improving their social protection, adapting and raising awareness of the latest technological solutions to increase their own production of cheap and quality products, as well as what is extremely important today is the improvement of the well-being of the peasants. A comprehensive, consolidated combination of the concrete efforts of the state and the resources that the rural population still possesses, in the name of its new territorial communities, under certain conditions, could become a major driving force in ensuring the systematic development and revival of the Ukrainian peasantry, which is one of the most important foundations of its existence. The modern village really needs development, and this development – financial, organizational, systemic and other forms of support. That is, there is a need for a coherent and systemic village development policy, or, as they call it European researchers, rural development policy, in our today's sense, as well as united territorial communities. Against the backdrop of a sharp rise in energy prices, agricultural machinery, fertilizers, feed, services, etc., low purchase prices, the lack of stable and reliable sales channels makes its production extremely ineffective. Solving similar issues in Ukraine is possible only with the state support for the development of agricultural servicing cooperatives as an important factor, increasing the competitiveness of private farms and individuals who are engaged in agricultural production, improving their socio-economic status and expanding their employment. The development of cooperation is a logical stage in the development of a market economy system in agriculture and one of the ways of integrated development of rural united communities. In particular, the success of rural cooperatives in Galicia in the first half of the 20th century showed a high level of adaptability of local economic traditions to European culture of agricultural production and successful agricultural business. This, extremely important for today's conditions, the experience of the survival of the Galician village until 1939, as well as the Ukrainian community abroad, showed that only uniting all the patriotic forces of the Ukrainian community and channeling their efforts to revive a solid, highly organized under the state guardianship and protection of the cooperative movement, will enable in the coming years to ensure sustainable development of rural communities and to solve problems of food security of the state.
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Dissertations / Theses on the topic "Machinery cooperatives"

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Lucas, Véronique. "L'agriculture en commun : Gagner en autonomie grâce à la coopération de proximité : Expériences d'agriculteurs français en CUMA à l'ère de l'agroécologie." Thesis, Angers, 2018. http://www.theses.fr/2018ANGE0020/document.

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En France depuis 2013, des initiatives collectives d'agriculteurs sont soutenues par des politiques publiques visant à développer l'agroécologie, dont la définition inclut l'enjeu d'autonomisation des exploitations. Alors que l'agriculture est traversée par des processus d'individualisation et de déterritorialisation, le législateur a fait le pari que l'organisation collective des agriculteurs au niveau local pouvait favoriser leur autonomisation et leur engagement dans la transition agroécologique. La thèse éclaire ce paradoxe par l'analyse d'expériences d'agriculteurs organisés en Coopératives d'utilisation de matériel agricole (CUMA). Ceux-ci développent des pratiques que l'on peut qualifier d'agroécologiques afin de gagner en autonomie, en particulier vis-à-vis des marchés marqués par plus de volatilité des cours. Pour cela, ils reconfigurent leurs modes de coopération de proximité, dont l'organisation de leur CUMA. Les résultats montrent qu'ils arrivent à mettre à distance des ressources et opérateurs marchands externes, grâce à une interdépendance accrue entre pairs, qu'ils acceptent parce qu'elle leur fournit des appuis pour mieux maîtriser leur contexte d'activité. Mais ils manquent de ressources adéquates de la part des autres opérateurs du secteur agricole et alimentaire pour limiter des dépendances restantes. De même, tous les agriculteurs ne bénéficient pas également de ces coopérations approfondies, qui nécessitent des conditions appropriées. Cette thèse précise ces conditions nécessaires pour que la recherche d'autonomie et la coopération de proximité favorisent des processus de transition agroécologique de la part d'une plus large diversité d'agriculteurs
In France since 2013, farmers' collectives initiatives are supported by specific public policies designed to develop agroecology, whose legal definition includes the objective of farm autonomy. Although agriculture is going through processes of individualization and deterritorialization, policymakers has bet that the collective organization of farmers could promote their autonomy and their agroecological transition. The thesis sheds new light on this paradox by analysis of farmers' experiences organized in farm machinery cooperatives(CUMA). These develop practices that can be described as agroecological in order to increase their autonomy, particularly in relation to markets affected by more price volatility. In so doing, they reconfigure their local modes of cooperation, including the organization of their machinery cooperative. The results show that they manage to put at distance external resources and market operators, owing to an increased interdependency with their peers, which is accepted because it allows them to better control the conditions of activity. Nevertheless, they lack appropriate resources from other operators in the agriculture and food sector to limit the remaining dependencies. Similarly, not all farmers equally benefit from such in-depth cooperation, which requires appropriate conditions. This thesis dissertation specifies the needed conditions so that the pursuit of autonomy and the local modes of cooperation can favor agroecological transition processes of a wider diversity of farmers
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Zhang, Weijie. "Machine-human Cooperative Control of Welding Process." UKnowledge, 2014. http://uknowledge.uky.edu/ece_etds/45.

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An innovative auxiliary control system is developed to cooperate with an unskilled welder in a manual GTAW in order to obtain a consistent welding performance. In the proposed system, a novel mobile sensing system is developed to non-intrusively monitor a manual GTAW by measuring three-dimensional (3D) weld pool surface. Specifically, a miniature structured-light laser amounted on torch projects a dot matrix pattern on weld pool surface during the process; Reflected by the weld pool surface, the laser pattern is intercepted by and imaged on the helmet glass, and recorded by a compact camera on it. Deformed reflection pattern contains the geometry information of weld pool, thus is utilized to reconstruct its $3$D surface. An innovative image processing algorithm and a reconstruction scheme have been developed for (3D) reconstruction. The real-time spatial relations of the torch and the helmet is formulated during welding. Two miniature wireless inertial measurement units (WIMU) are mounted on the torch and the helmet, respectively, to detect their rotation rates and accelerations. A quaternion based unscented Kalman filter (UKF) has been designed to estimate the helmet/torch orientations based on the data from the WIMUs. The distance between the torch and the helmet is measured using an extra structure-light low power laser pattern. Furthermore, human welder's behavior in welding performance has been studied, e.g., a welder`s adjustments on welding current were modeled as response to characteristic parameters of the three-dimensional weld pool surface. This response model as a controller is implemented both automatic and manual gas tungsten arc welding process to maintain a consistent full penetration.
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Siriwardana, Pallege Gamini Dilupa. "Machine learning-based multi-robot cooperative transportation of objects." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/14700.

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Multi robot cooperative transportation is an important research area in the multi robot domain. In the process of object transportation, several autonomous robots navigate cooperatively in either a static or a dynamic environment to transport an object to a goal location and orientation. The environment may consist of both fixed and removable obstacles and it will be subject to uncertainty and unforeseen changes within the environment. Furthermore, more than one robot may be required in a cooperative mode for handling heavy and large objects. These are some of the challenges addressed in the present thesis. This thesis develops a machine learning approach and investigates relevant research issues for object transportation utilizing cooperative and autonomous multiple mobile robots. It makes significant original contributions in distributed multi robot coordination and self deterministic learning for robot decision making, and comes up with an optimal solution to the action selection conflicts of the robots in the cooperative system. This will help to improve the real time performance and robustness of the system. Also, the thesis develops a new method for object and obstacle identification in complex environments using a laser range finder, which is more realistic than the available methods. A new algorithm for object pose estimation algorithm is developed, enabling a robot to identify the objects and obstacles in a multi-robot environment by utilizing the laser range finder and color blob tracking. The thesis develops a fully distributed hierarchical multi-robot architecture for enhanced coordination among robots in a dynamic and unknown environment. It strives to improve the real time performance and robustness. The system consists with three layers. By combining two popular artificial intelligence (Al) techniques such as learning and behavior based decision making, the developed architecture is expected to facilitate effective autonomous operation of cooperative multi-robot systems in a dynamically changing, unstructured, and unknown environment.
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Hasanaj, Enis, Albert Aveler, and William Söder. "Cooperative edge deepfake detection." Thesis, Jönköping University, JTH, Avdelningen för datateknik och informatik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-53790.

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Deepfakes are an emerging problem in social media and for celebrities and political profiles, it can be devastating to their reputation if the technology ends up in the wrong hands. Creating deepfakes is becoming increasingly easy. Attempts have been made at detecting whether a face in an image is real or not but training these machine learning models can be a very time-consuming process. This research proposes a solution to training deepfake detection models cooperatively on the edge. This is done in order to evaluate if the training process, among other things, can be made more efficient with this approach.  The feasibility of edge training is evaluated by training machine learning models on several different types of iPhone devices. The models are trained using the YOLOv2 object detection system.  To test if the YOLOv2 object detection system is able to distinguish between real and fake human faces in images, several models are trained on a computer. Each model is trained with either different number of iterations or different subsets of data, since these metrics have been identified as important to the performance of the models. The performance of the models is evaluated by measuring the accuracy in detecting deepfakes.  Additionally, the deepfake detection models trained on a computer are ensembled using the bagging ensemble method. This is done in order to evaluate the feasibility of cooperatively training a deepfake detection model by combining several models.  Results show that the proposed solution is not feasible due to the time the training process takes on each mobile device. Additionally, each trained model is about 200 MB, and the size of the ensemble model grows linearly by each model added to the ensemble. This can cause the ensemble model to grow to several hundred gigabytes in size.
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Wang, Ying. "Cooperative and intelligent control of multi-robot systems using machine learning." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/905.

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This thesis investigates cooperative and intelligent control of autonomous multi-robot systems in a dynamic, unstructured and unknown environment and makes significant original contributions with regard to self-deterministic learning for robot cooperation, evolutionary optimization of robotic actions, improvement of system robustness, vision-based object tracking, and real-time performance. A distributed multi-robot architecture is developed which will facilitate operation of a cooperative multi-robot system in a dynamic and unknown environment in a self-improving, robust, and real-time manner. It is a fully distributed and hierarchical architecture with three levels. By combining several popular AI, soft computing, and control techniques such as learning, planning, reactive paradigm, optimization, and hybrid control, the developed architecture is expected to facilitate effective autonomous operation of cooperative multi-robot systems in a dynamically changing, unknown, and unstructured environment. A machine learning technique is incorporated into the developed multi-robot system for self-deterministic and self-improving cooperation and coping with uncertainties in the environment. A modified Q-learning algorithm termed Sequential Q-learning with Kalman Filtering (SQKF) is developed in the thesis, which can provide fast multi-robot learning. By arranging the robots to learn according to a predefined sequence, modeling the effect of the actions of other robots in the work environment as Gaussian white noise and estimating this noise online with a Kalman filter, the SQKF algorithm seeks to solve several key problems in multi-robot learning. As a part of low-level sensing and control in the proposed multi-robot architecture, a fast computer vision algorithm for color-blob tracking is developed to track multiple moving objects in the environment. By removing the brightness and saturation information in an image and filtering unrelated information based on statistical features and domain knowledge, the algorithm solves the problems of uneven illumination in the environment and improves real-time performance. In order to validate the developed approaches, a Java-based simulation system and a physical multi-robot experimental system are developed to successfully transport an object of interest to a goal location in a dynamic and unknown environment with complex obstacle distribution. The developed approaches in this thesis are implemented in the prototype system and rigorously tested and validated through computer simulation and experimentation.
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Silber, Georg, Josef Fröhlich, and Manfred M. Fischer. "What Shapes Firm Networks? Cooperative Innovation in Austrian Machine-Tool and Cement Industries." WU Vienna University of Economics and Business, 1993. http://epub.wu.ac.at/4201/1/WSG_DP_3193.pdf.

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Inter-organizational linkages, often referred to as network relationships, are considered to be of increasing importance for the competitive performance of firms, industries and nations. Two hypotheses about the conditions for the emergence of network relationships are derived from the transaction cost approach and discussed in view of two case studies relying on a medium sized machine-tool firm and a medium sized cement firm in Austria. The paper clearly illustrates the necessity to go beyond the transaction cost approach and to take into account factors such as strategic orientation, management skills and organizational issues. (authors' abstract)
Series: Discussion Papers of the Institute for Economic Geography and GIScience
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Bushman, James B. "Identification of an operator's associate model for cooperative supervisory control situations." Diss., Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/30992.

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Ngo, Quang Thanh. "Online perception with machine learning for automated driving." Technische Universität Chemnitz, 2019. https://monarch.qucosa.de/id/qucosa%3A73111.

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The understanding of the environment is the critical ability not only for the living creature but also for automation fields like the robot, automated car, and intelligent system. Especially for some essential task in the domain of automotive such as autonomous driving, path planning, localization, and object detection, the more information we gather, the better the result we get. Intelligent vehicle technology relies on sensorial perception to understand the surroundings of the vehicle. The objective of the research is developing a cooperative online perception system with semantic segmentation for automated driving and improving the current semantic segmentation framework to make it more robust and more suitable for our future projects.
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Godbout, Danny. "Implementation and evaluation of neuromuscular controllers in robotic systems performing cooperative tasks with humans." Pullman, Wash. : Washington State University, 2008. http://www.dissertations.wsu.edu/Thesis/Fall2008/d_godbout_112808.pdf.

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Thesis (M.S. in mechanical engineering)--Washington State University, December 2008.
Title from PDF title page (viewed on Dec. 23, 2008). "School of Mechanical and Materials Engineering." Includes bibliographical references (p. 72-76).
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Morais, Anderson. "Distributed and cooperative intrusion detection in wireless mesh networks." Phd thesis, Institut National des Télécommunications, 2012. http://tel.archives-ouvertes.fr/tel-00789724.

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Wireless Mesh Network (WMN) is an emerging technology that is gaining importance among traditional wireless communication systems. However, WMNs are particularly vulnerable to external and insider attacks due to their inherent attributes such as open communication medium and decentralized architecture. In this research, we propose a complete distributed and cooperative intrusion detection system for efficient and effective detection of WMN attacks in real-time. Our intrusion detection mechanism is based on reliable exchange of network events and active cooperation between the participating nodes. In our distributed approach, Intrusion Detection Systems (IDSs) are independently placed at each mesh node to passively monitor the node routing behavior and concurrently monitor the neighborhood behavior. Based on that, we first implement a Routing Protocol Analyzer (RPA) that accuracy generates Routing Events from the observed traffic, which are then processed by the own node and exchanged between neighboring nodes. Second, we propose a practical Distributed Intrusion Detection Engine (DIDE) component, which periodically calculates accurate Misbehaving Metrics by making use of the generated Routing Events and pre-defined Routing Constraints that are extracted from the protocol behavior. Third, we propose a Cooperative Consensus Mechanism (CCM), which is triggered among the neighboring nodes if any malicious behavior is detected. The CCM module analyzes the Misbehaving Metrics and shares Intrusion Detection Results among the neighbors to track down the source of intrusion. To validate our research, we implemented the distributed intrusion detection solution using a virtualized mesh network platform composed of virtual machines (VMs) interconnected. We also implemented several routing attacks to evaluate the performance of the intrusion detection mechanisms
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Books on the topic "Machinery cooperatives"

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Harris, Andrea. Farm machinery co-operatives in Saskatchewan and Québec. Saskatoon: Centre for the Study of Co-operatives, University of Saskatchewan, 2000.

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Harris, Andrea. Farm machinery co-operatives: An idea worth sharing. Saskatoon: Centre for the Study of Co-operatives, University of Saskatchewan, 2000.

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Harris, Andrea. The CUMA farm machinery co-operatives. Saskatoon: Centre for the Study of Co-operatives, University of Saskatchewan, 2000.

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Leibo, Zhuang, ed. Jing wai he zuo bian mu li lun yu shi jian. Beijing Shi: Hai yang chu ban she, 2007.

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Krawiec, Krzysztof. Evolutionary feature programming: Cooperative learning for knowledge discovery and computer vision. Poznań: Wydawn. Politechniki Poznańskiej, 2004.

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Snyder, Henry Leonard. Cataloging of the hand press: A comparative and analytical study of cataloging rules and formats employed in Europe. München: Saur, 1994.

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(Japan), Aichi-ken. Nōgyō kikai ginkō kankei jigyō no jisshi jōkyō. Nagoya-shi: Aichi-ken, 1992.

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Virtual individuals, virtual groups: Human dimensions of groupware and computer networking. Cambridge: Cambridge University Press, 1996.

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Multifarm use of agricultural machinery. Rome: Food and Agriculture Organization of the United Nations, 1985.

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Organization, Food and Agriculture. Multifarm Use of Agricultural Machinery/F2867 (Fao Agricultural Series). Food & Agriculture Org, 1986.

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Book chapters on the topic "Machinery cooperatives"

1

Shultz, Thomas R., Scott E. Fahlman, Susan Craw, Periklis Andritsos, Panayiotis Tsaparas, Ricardo Silva, Chris Drummond, et al. "Cooperative Coevolution." In Encyclopedia of Machine Learning, 226. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_174.

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Stoean, Catalin, and Ruxandra Stoean. "Cooperative Coevolution." In Support Vector Machines and Evolutionary Algorithms for Classification, 57–73. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06941-8_5.

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Modica, Giovanni, Avigdor Gal, and Hasan M. Jamil. "The Use of Machine-Generated Ontologies in Dynamic Information Seeking." In Cooperative Information Systems, 433–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44751-2_32.

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Mussio, Piero, and Paolo Bottoni. "Emergent Evolution of Cooperative Structures." In Human and Machine Perception 2, 15–30. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4809-6_2.

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Arafeh, Bassel R. "On Mapping and Scheduling Tasks with Synchronization on Clusters of Machines." In Grid and Cooperative Computing, 254–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24680-0_46.

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Gao, Yu, Xin-Lin Huang, Si-Yue Sun, Xiaowei Tang, and Yuan Xu. "Research on Cooperative Spectrum Sensing Algorithm." In Machine Learning and Intelligent Communications, 346–55. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52730-7_35.

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Bono, Guillaume, Jilles Steeve Dibangoye, Laëtitia Matignon, Florian Pereyron, and Olivier Simonin. "Cooperative Multi-agent Policy Gradient." In Machine Learning and Knowledge Discovery in Databases, 459–76. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10925-7_28.

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Leblanc, Brice, Emilien Bourdy, Hacène Fouchal, Cyril de Runz, and Secil Ercan. "Towards Analysing Cooperative Intelligent Transport System Security Data." In Machine Learning for Networking, 23–32. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19945-6_2.

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Wu, Dan, Zhiying Wang, and Kui Dai. "Retargetable Machine-Description System: Multi-layer Architecture Approach." In Grid and Cooperative Computing - GCC 2005, 1161–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11590354_138.

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Hanai, M., K. Matsumoto, M. Watanabe, and H. Fujimoto. "Development of Man-Machine Cooperative Production System." In Rapid Product Development, 447–56. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6379-2_45.

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Conference papers on the topic "Machinery cooperatives"

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Erchao Li, Minli Yang, and Michael L Cook. "Agricultural Machinery Cooperatives in China: Origin, Development, and Innovation." In 2009 Reno, Nevada, June 21 - June 24, 2009. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2009. http://dx.doi.org/10.13031/2013.27292.

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Xie, Xiaohui, Cui Ma, Bingzhe Han, and Ruxu Du. "Event-Driven CNC Modularized Sewing Platform." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-63533.

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Abstract:
With ever increased demand for quality and productivity, modern industrial sewing machine is becoming very complex and requiring sophisticated control. This paper presents a control platform that can be used for all kinds of lockstitch sewing machines. This event-driven control platform can support various kinds of sewing operations, from simple lockstitches, to X-Y lockstitches, as well as thread cutting. The key to the control platform is the precision cooperative control. First, for each motion axis, both the position and the velocity must be precisely controlled. In addition, the multi-axis motions must be synchronized to achieve high accuracy stitches. In order to increase the machine flexibility and decrease variety, a generalized and modularized sewing platform is proposed in this paper. It can be assembled with common lockstitch sewing machine and achieve several kinds of sewing functions. This platform module has independent driving capability to fulfill special movement and the communication ability to collaborate with other modules. Besides the modularized mechanism, the reusable and reconfigurable control system is the key point. For industry sewing machine, the important functions are the single-axis precise control and multi-axis cooperative control. In the X-Y moving platform, the closed-loop stepper motor system is adopted for each axis to obtain precise speed and position control. On the other hand, the cooperative control between modules is realized by event-based control method which uses a time-independent parameter to avoid the uncertain time-delay. To verify the system, the corresponding experiments are taken. And the results satisfy the requirements very well.
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Remington, Roger, and Everett Palmer. "Cooperative Human-Machine Fault Diagnosis." In Cambridge Symposium_Intelligent Robotics Systems, edited by Wun C. Chiou, Sr. SPIE, 1987. http://dx.doi.org/10.1117/12.964881.

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Feng, Yongxiu, and Dengyin Zhang. "An Improved Double-threshold Cooperative Spectrum Sensing Algorithm." In First International Conference on Information Sciences, Machinery, Materials and Energy. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/icismme-15.2015.49.

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Xie, Fuxiang, Mengmeng Xu, and Xiaoxiao Li. "Virtual Design of Human-Machine Cooperative Feeding Machine." In 2017 International Conference Advanced Engineering and Technology Research (AETR 2017). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/aetr-17.2018.23.

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Zhu, Kaiyan, and Fei Wang. "Relay selection in energy harvesting cooperative networks with rateless codes." In ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS II: Proceedings of the 2nd International Conference on Advances in Materials, Machinery, Electronics (AMME 2018). Author(s), 2018. http://dx.doi.org/10.1063/1.5033773.

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Razzak, Imran. "Cooperative Evolution Multiclass Support Matrix Machines." In 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. http://dx.doi.org/10.1109/ijcnn48605.2020.9207164.

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Gao, Ge, Bin Xu, Dan Cosley, and Susan R. Fussell. "How beliefs about the presence of machine translation impact multilingual collaborations." In CSCW'14: Computer Supported Cooperative Work. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2531602.2531702.

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Karacapilidis, Nikos, Lydia Lau, Charlotte Lee, and Stefan Rüping. "Mastering data-intensive collaboration through the synergy of human and machine reasoning." In CSCW '12: Computer Supported Cooperative Work. New York, NY, USA: ACM, 2012. http://dx.doi.org/10.1145/2141512.2141524.

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Miaobo Dong and Zengqi Sun. "On human machine cooperative learning control." In Proceedings of the 2003 IEEE International Symposium on Intelligent Control. IEEE, 2003. http://dx.doi.org/10.1109/isic.2003.1253918.

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Reports on the topic "Machinery cooperatives"

1

Klarer, P. R. Flocking small smart machines: An experiment in cooperative, multi-machine control. Office of Scientific and Technical Information (OSTI), March 1998. http://dx.doi.org/10.2172/573344.

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William R. Hamel, Spivey Douglass, Sewoong Kim, Pamela Murray, Yang Shou, Sriram Sridharan, Ge Zhang, Scott Thayer, and Rajiv V. Dubey. HUMAN MACHINE COOPERATIVE TELEROBOTICS. Office of Scientific and Technical Information (OSTI), June 2003. http://dx.doi.org/10.2172/894296.

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Fox, Geoffrey C., Salim Hariri, H. J. Siegel, and H. G. Dietz. Rome Laboratory Software Engineering Cooperative Virtual Machine. Fort Belvoir, VA: Defense Technical Information Center, December 1994. http://dx.doi.org/10.21236/ada292396.

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