Journal articles: 'Adaptive work performance'

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Park, Yoonhee, Doo Hun Lim, Woocheol Kim, and Hana Kang. "Organizational Support and Adaptive Performance: The Revolving Structural Relationships between Job Crafting, Work Engagement, and Adaptive Performance." Sustainability 12, no. 12 (June 15, 2020): 4872. http://dx.doi.org/10.3390/su12124872.

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This study has two primary purposes: (1) examining the structural relationships between organizational support, job crafting, work engagement, and adaptive performance, and (2) identifying a revolving relationship derived from these relationships. To that end, the research sampled 250 human resources professionals in companies with at least 300 employees in South Korea and employed structural equation modeling. The study’s findings showed that organizational support affects adaptive performance through job crafting and work engagement. In addition, job crafting and adaptive performance mediated the relationship between organizational support and work engagement. Lastly, revolving relationships existed among job crafting, work engagement, and adaptive performance. Our findings make a positive contribution to comprehending the role of adaptive performance in motivating individuals further to craft their jobs creatively. Moreover, it advances our understanding of the complexities of the revolving relationships among job crafting, work engagement, and adaptive performance.

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Wei, Li-Qun, and Chung-Ming Lau. "High performance work systems and performance: The role of adaptive capability." Human Relations 63, no. 10 (May 19, 2010): 1487–511. http://dx.doi.org/10.1177/0018726709359720.

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Marques-Quinteiro, Pedro, and Luís Alberto Curral. "Goal Orientation and Work Role Performance: Predicting Adaptive and Proactive Work Role Performance Through Self-Leadership Strategies." Journal of Psychology 146, no. 6 (November 2012): 559–77. http://dx.doi.org/10.1080/00223980.2012.656157.

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Alamino-Naranjo, Yesica, and Alcion Alonso-Frank. "Indicador de rendimiento laboral del usuario-trabajador de oficina en período de verano de clima templado cálido." Revista Hábitat Sustentable 11, no. 1 (June 30, 2021): 44–57. http://dx.doi.org/10.22320/07190700.2021.11.01.04.

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The purpose of this work was to develop a methodological tool to evaluate office space work performance during the summer period. The proposed tool is an optimal work performance indicator called IRLO, which combines environmental variables on thermal, air quality, visual and acoustic influence. Integrated measurements were run for its development alongside surveys to users-workers of an office building in the city of San Juan - Argentina. The results reveal the preference ranges of each variable, recognizing that in open plan offices, there is a greater environmental adaptive capacity than in closed plan offices. It is concluded, that the indicator stands out by providing a basis to identify work performance considering environmental variables that should, in the future, be considered in the design phase.

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Huang, Jason L., Ann Marie Ryan, Keith L. Zabel, and Ashley Palmer. "Personality and adaptive performance at work: A meta-analytic investigation." Journal of Applied Psychology 99, no. 1 (2014): 162–79. http://dx.doi.org/10.1037/a0034285.

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Jung, EuiYoung, and TaeYoung Han. "The effects of humor behavior on adaptive performance and contribution to team members’ adaptive performance." Korean Journal of Industrial and Organizational Psychology 29, no. 3 (August 31, 2016): 465–89. http://dx.doi.org/10.24230/kjiop.v29i3.465-489.

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The purpose of this study was to examine the effectiveness of humor behavior on adaptive performance and contribution to team members‘ adaptive performance. This study also investigated the mediating role of burnout on the relationships between humor behavior and individual adaptive performance & contribution to team members’ adaptive performance based on the theory of psychological resources. The study conducted a survey research to 152 employees in various organizations who work with their team members. Because this study measured adaptive performance and contribution to team members’ adaptive performance using peer-report method, 118 data collected from the sample were appropriate for analysis. The results of this study showed that affiliative humor behavior was negatively related to burnout while aggressive humor behavior was positively related to burnout. Burnout was negatively related to adaptive performance and contribution to team members’ adaptive performance. In addition, the effects of humor behavior on adaptive performance and contribution to team members’ adaptive performance were fully mediated by the burnout. Finally, the implications and the limitations of this study were discussed, suggesting the directions for future research.

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Noh, Kyungwon, and Jingu Lee. "The Structural Relationship between Empowering Leadership, Work Engagement, and Adaptive Performance." Korean Human Resource Development Strategy Institute 16, no. 1 (March 31, 2021): 143–67. http://dx.doi.org/10.21329/khrd.2021.16.1.143.

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Shahidan, Athifah Najwani, Siti Norasyikin Abdul Hamid, and Fais Ahmad. "Mediating Influence of Work Engagement between Person-Environment Fit and Adaptive Performance." Journal of Business and Social Review in Emerging Economies 4, no. 1 (June 30, 2018): 17–26. http://dx.doi.org/10.26710/jbsee.v4i1.270.

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ABSTRACT Purpose: The purpose of this paper is to propose a conceptual framework on the mediating influence of Work Engagement (WE) on the relationship between Person-Environment Fit (PE fit) and Adaptive Performance (AP) among nurses at the public hospitals in Malaysia. This paper is designed to focus on three PE fit dimensions, which are Person-Job Fit (PJ fit), Person-Group Fit (PG fit), and Person-Supervisor Fit (PS Fit) and its impact to employee’s adaptive performance by using Work Engagement as a mediator. Design/Methodology/Approach: This is a causal study that has used quantitative methodology to draw propositions about the phenomenon under study. Findings: The finding of the study is supported by two theories which are Theory of Performance (ToP) and Social Exchange Theory (SET). It is expected to produce significant relationship between PE Fit and AP by using a mediator of WE. Implications/Originality/Value: The contribution of the study delivers useful information and adds knowledge to the literature pointing to increase their employees’ performance in public sector. For a practical implication, deep focus should be given to the factors that can enhance employees’ performance especially in public sector to ensure the employees in their organization are fully fitted with their working environment, thus can deliver the best service to customers. Social implication from the study is the application of adaptive performance concept will promote a healthy and positive working environment that can contribute to positive and healthy life in social community and practice fast respond to reduce the patients’ complaints regarding staff performance in public hospitals. Keywords : Adaptive Performance, Work Engagement, Person Environment Fit, Person Job Fit, Person Supervisor Fit, Person Group Fit

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Zhang, Ying, Jian Zhang, and Jingjing Li. "The effect of intrinsic and extrinsic goals on work performance." Personnel Review 47, no. 4 (June 4, 2018): 900–912. http://dx.doi.org/10.1108/pr-03-2017-0086.

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Purpose Based on the goal content theory (GCT), the purpose of this paper is to focus on the essence of goals and examine the associations between different work goal contents (intrinsic and extrinsic goals) and work performance. Design/methodology/approach The data were collected from 279 employees and their immediate supervisors, and the theoretical hypotheses were tested by correlation and hierarchal regression analyses. Findings The results of the analyses showed that intrinsic goal content positively predicted task performance, dedicative performance, interpersonal performance, and adaptive performance and that extrinsic goal content positively predicted the task performance and adaptive performance; intrinsic goals were also found to enhance the relationship between extrinsic goals and task performance. Originality/value The contribution of the current study is that it explores whether both extrinsic goals and intrinsic goals can contribute to predicting work performance. Moreover, different from previous studies that focus on discussing the separate effects of intrinsic and extrinsic goals on outcomes, the authors aim to study the interaction effect between these goals, which enriches GCT.

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Radchenko, Aleksander S., and Petr D. Shabanov. "Hyperoxia and hypoxia influence to adaptive processes at muscular work." Reviews on Clinical Pharmacology and Drug Therapy 16, no. 3 (December 15, 2018): 68–77. http://dx.doi.org/10.17816/rcf16368-77.

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In this brief review we will state the use of hyperoxia (HO) in sports training. HO training has been recommended by some authors for athletes to increase their performance. Herewith, there is no reliable knowledge about physiology mechanisms that provides the athlete level of growth during long-term training under HO conditions. Concurrently in the last half century, the athletes’ performance in endurance sports has grown remarkably due to natural and artificial hypoxia application in training process of many kinds of sports. Long-term adaptation mechanisms to muscular work under hypoxia conditions are shortly summarized for comparison with HO effects and we emphasized that the prospectivity of searching the ways for regular usage HO to increase athletic performance is too questionable.

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Rousseau, Vincent, and Caroline Aubé. "Disentangling the relationship between empowering leader behaviors and adaptive performance in work teams." Group Processes & Intergroup Relations 23, no. 5 (August 24, 2019): 761–77. http://dx.doi.org/10.1177/1368430219854801.

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When teams operate in a dynamic and complex environment, their ability to adapt to changing demands is crucial for organizational success. The aim of this study is to investigate the role of empowering behaviors exhibited by team leaders in team adaptive performance by taking into account the mediating role of shared leadership displayed by team members and the moderating effect of access to resources. Data were collected from 82 work teams (i.e., 394 members and 82 immediate supervisors) in a public safety organization. Results of path analyses show that the relationship between empowering leader behaviors and team adaptive performance is mediated by shared leadership. Moreover, we found that the relationship between empowering leader behaviors and shared leadership is moderated by access to resources, such that this relationship is stronger when the level of access to resources is high. Overall, the findings shed light on the process through which team leaders can enhance the adaptive performance of their team.

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Verma, Reshma, and Jitendra, R, Raol. "Performance Evaluation of Adaptive H-Infinity Filter." International Research Journal of Engineering, IT & Scientific Research 3, no. 6 (November 3, 2017): 56. http://dx.doi.org/10.21744/irjeis.v3i6.562.

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This study is related to the use of adaptive H-infinity filter for multi sensor data fusion ( based tracking. AHIF can work efficiently in the presence of uncertainties using sliding window concept. In the present use of , the length of window size is varied to eliminate/minimize the estimation errors and predict almost precise location of a target. Simulation experiments are conducted to evaluate performance of in comparison with Kalman and H-Infinity filters for mild and evasive maneuvering targets. Performs better in terms location accuracy and position fit error.

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Javed, Basharat, Sajid Bashir, Mohammed Y. A. Rawwas, and Surendra Arjoon. "Islamic Work Ethic, innovative work behaviour, and adaptive performance: the mediating mechanism and an interacting effect." Current Issues in Tourism 20, no. 6 (April 18, 2016): 647–63. http://dx.doi.org/10.1080/13683500.2016.1171830.

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Marques-Quinteiro, Pedro, Pedro J. Ramos-Villagrasa, Ana Margarida Passos, and Luís Curral. "Measuring adaptive performance in individuals and teams." Team Performance Management 21, no. 7/8 (October 12, 2015): 339–60. http://dx.doi.org/10.1108/tpm-03-2015-0014.

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Purpose – While scales were developed to measure individual adaptive performance (IAP), fewer contributions have been done to assess the construct at the team level of analysis. This issue is addressed through two related studies: Study 1 builds on Pulakos et al. (2000) to develop a measure of IAP. Study 2 follows from the results in Study 1 and tests a measure of team adaptive performance (Chan, 1998). Design/methodology/approach – Scale development was done adopting a single level (Study 1) and multi-level (Study 2) structural equations modeling approach. Findings – Results suggest that both measures of individual and team adaptive performance are reliable and show evidence supporting the adequacy of adopting referent-shift methodologies to the measurement and aggregation of team members’ rating of team adaptive performance. Originality/value – The study offers a reliable, parsimonious and easy to apply measure of individual and team adaptive performance in organizational work environments.

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Cheng, Weiyu, Yanyan Shen, and Linpeng Huang. "Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 3609–16. http://dx.doi.org/10.1609/aaai.v34i04.5768.

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Various factorization-based methods have been proposed to leverage second-order, or higher-order cross features for boosting the performance of predictive models. They generally enumerate all the cross features under a predefined maximum order, and then identify useful feature interactions through model training, which suffer from two drawbacks. First, they have to make a trade-off between the expressiveness of higher-order cross features and the computational cost, resulting in suboptimal predictions. Second, enumerating all the cross features, including irrelevant ones, may introduce noisy feature combinations that degrade model performance. In this work, we propose the Adaptive Factorization Network (AFN), a new model that learns arbitrary-order cross features adaptively from data. The core of AFN is a logarithmic transformation layer that converts the power of each feature in a feature combination into the coefficient to be learned. The experimental results on four real datasets demonstrate the superior predictive performance of AFN against the state-of-the-arts.

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Kong, Jin Ah, and Dong-Yeol Yoon. "The Effects of High-Performance Work System on Adaptive Performance : The Mediating Effects of Psychological Capital." Korean Academic Association of Business Administration 34, no. 1 (January 31, 2021): 17–43. http://dx.doi.org/10.18032/kaaba.2021.34.1.17.

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Kaya, Bahar, and Osman M. Karatepe. "Does servant leadership better explain work engagement, career satisfaction and adaptive performance than authentic leadership?" International Journal of Contemporary Hospitality Management 32, no. 6 (January 8, 2020): 2075–95. http://dx.doi.org/10.1108/ijchm-05-2019-0438.

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Purpose The purpose of this paper is to propose a research model in which work engagement (WENG) mediates the effects of servant leadership (SL) and authentic leadership (AL) simultaneously on career satisfaction and adaptive performance. It also aims to test whether SL better explains WENG and the aforesaid outcomes than AL. Design/methodology/approach This paper used time-lagged data collected from hotel employees and their direct supervisors in Turkey. Structural equation modeling was implemented to assess the aforesaid linkages. Findings Among others, the indirect impact of SL on career satisfaction and adaptive performance, through WENG, is stronger than the indirect effect of AL. Practical implications Management can use AL as a base to develop and boost SL. Appraising employees’ WENG on a periodical basis would enable management to understand whether SL really contributes to the enhancement of WENG. In addition, employees can take advantage of informal learning to foster their adaptive performance. Originality/value There are calls for research to ascertain whether SL better explains outcomes than other leadership styles such as AL. Evidence about the underlying mechanism linking SL and AL to outcomes is still sparse. The extant research on SL and AL has neglected adaptive performance in frontline service jobs so far. With this stated, this paper aims to fill in these voids.

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Dawar, Deepak, and Simone A. Ludwig. "Effect of Strategy Adaptation on Differential Evolution in Presence and Absence of Parameter Adaptation: An Investigation." Journal of Artificial Intelligence and Soft Computing Research 8, no. 3 (July 1, 2018): 211–35. http://dx.doi.org/10.1515/jaiscr-2018-0014.

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AbstractDifferential Evolution (DE) is a simple, yet highly competitive real parameter optimizer in the family of evolutionary algorithms. A significant contribution of its robust performance is attributed to its control parameters, and mutation strategy employed, proper settings of which, generally lead to good solutions. Finding the best parameters for a given problem through the trial and error method is time consuming, and sometimes impractical. This calls for the development of adaptive parameter control mechanisms. In this work, we investigate the impact and efficacy of adapting mutation strategies with or without adapting the control parameters, and report the plausibility of this scheme. Backed with empirical evidence from this and previous works, we first build a case for strategy adaptation in the presence as well as in the absence of parameter adaptation. Afterwards, we propose a new mutation strategy, and an adaptive variant SA-SHADE which is based on a recently proposed self-adaptive memory based variant of Differential evolution, SHADE. We report the performance of SA-SHADE on 28 benchmark functions of varying complexity, and compare it with the classic DE algorithm (DE/Rand/1/bin), and other state-of-the-art adaptive DE variants including CoDE, EPSDE, JADE, and SHADE itself. Our results show that adaptation of mutation strategy improves the performance of DE in both presence, and absence of control parameter adaptation, and should thus be employed frequently.

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Hamilton, Nicolas, Scott Graham, Timothy Carbino, James Petrosky, and Addison Betances. "Adaptive-Hybrid Redundancy with Error Injection." Electronics 8, no. 11 (November 1, 2019): 1266. http://dx.doi.org/10.3390/electronics8111266.

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Adaptive-Hybrid Redundancy (AHR) shows promise as a method to allow flexibility when selecting between processing speed and energy efficiency while maintaining a level of error mitigation in space radiation environments. Whereas previous work demonstrated AHR’s feasibility in an error free environment, this work analyzes AHR performance in the presence of errors. Errors are deliberately injected into AHR at specific times in the processing chain to demonstrate best and worst case performance impacts. This analysis demonstrates that AHR provides flexibility in processing speed and energy efficiency in the presence of errors.

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Wihler, Andreas, James A. Meurs, Daniela Wiesmann, Leander Troll, and Gerhard Blickle. "Extraversion and adaptive performance: Integrating trait activation and socioanalytic personality theories at work." Personality and Individual Differences 116 (October 2017): 133–38. http://dx.doi.org/10.1016/j.paid.2017.04.034.

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Kloetzel, Melanie. "Site, Adapt, Perform: A Practice-as-Research Confrontation with Climate Change." Dance Research 35, no. 1 (May 2017): 111–29. http://dx.doi.org/10.3366/drs.2017.0186.

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In recent years, arts festivals around the globe have become enamoured of touring, site-based performance. Such serialised site work is growing in popularity due to its accessibility, its spectacular characteristics, and its adaptive qualities. Employing practice-as-research methodologies to dissect the basis of such site-adaptive performances, the author highlights her discovery of the crumbling foundation of the adaptation discourse by way of her creative process for the performance work Room. Combining findings from the phenomenological explorations of her dancing body as well as from cultural analyses of the climate change debate by Dipesh Chakrabarty (2009), Claire Colebrook (2011, 2012), and Bruno Latour (2014), the author argues that only by fundamentally shifting the direction of the adaptation discourse – on scales from global to the personal – will we be able to build a site-adaptive performance strategy that resists the neoliberal drive towards ecological and economic precarity.

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Papamitsiou, Zacharoula, and Anastasios A. Economides. "Temporal Learning Analytics for Adaptive Assessment." Journal of Learning Analytics 1, no. 3 (December 6, 2014): 165–68. http://dx.doi.org/10.18608/jla.2014.13.13.

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Accurate and early predictions of students’ performance could significantly affect interventions during teaching and assessment, which gradually could lead to improved learning outcomes. In our research work, we seek to identify and formalize temporal parameters as predictors of performance (“temporal learning analytics”-TLA) and examine students' temporal behaviour (i.e. in terms of time-spent) during testing. The goal is to specify a functional set of parameters that will be embedded in an adaptive assessment system in order to contribute to personalization of feedback services. We adopted the Partial Least-Squares (PLS) analysis method for formulating the causal dependencies between latent variables and the relations to their indicators. In this paper we present the motivation and rationale of our work, along with the followed methodology, initial results and contributions so far, and our plans on future work.

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Nagasirisha, B., and V. V. K. D. V. Prasad. "Noise Removal from EMG Signal Using Adaptive Enhanced Squirrel Search Algorithm." Fluctuation and Noise Letters 19, no. 04 (October 5, 2020): 2050039. http://dx.doi.org/10.1142/s021947752050039x.

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Electromyogram (EMG) signals are mostly affected by a large number of artifacts. Most commonly affecting artifacts are power line interference (PLW), baseline noise and ECG noise. This work focuses on a novel attenuation noise removal strategy which is concentrated on adaptive filtering concepts. In this paper, an enhanced squirrel search (ESS) algorithm is applied to remove noise using adaptive filters. The noise eliminating filters namely adaptive least mean square (LMS) filter and adaptive recursive least square (RLS) filters are designed, which is correlated with an ESS. This novel algorithm yields better performance than other existing algorithms. Here the performances are measured in terms of signal-to-noise ratio (SNR) in decibel, maximum error (ME), mean square error (MSE), standard deviation, simulation time and mean value difference. The proposed work has been implemented at the MATLAB simulation platform. Testing of their noise attenuation capability is also validated with different evolutionary algorithms namely squirrel search, particle swarm optimization (PSO), artificial bee colony (ABC), firefly, ant colony optimization (ACO) and cuckoo search (CS). The proposed work eliminates the noises and provides noise-free EMG signal at the output which is highly efficient when compared with existing methodologies. Our proposed work achieves 4%, 40%, 4%, 7%, 9% and 70% better performance than the literature mentioned in the results.

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Karanika-Murray, Maria, and Caroline Biron. "The health-performance framework of presenteeism: Towards understanding an adaptive behaviour." Human Relations 73, no. 2 (March 18, 2019): 242–61. http://dx.doi.org/10.1177/0018726719827081.

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The substantial health and financial costs of presenteeism are well-documented. Paradoxically, presenteeism also has a positive side, which has been largely overlooked. Emerging evidence shows that presenteeism can be a choice that offers a range of positive benefits to the ‘presentee’ (an employee who works through illness). In this conceptual article, we view presenteeism as purposeful and adaptive behaviour: a dynamic process that serves the purpose of balancing health constraints and performance demands in tandem. We propose a 2×2 framework of presenteeism (therapeutic, functional, overachieving, and dysfunctional) and suggest that the success of the presenteeism adaptation process depends on the availability of internal capacities and flexible work resources. When the workplace is supportive and provides adequate resources to aid adaptation, presenteeism can be a sustainable choice for maintaining performance under impaired health. We examine the role of resources for functional presenteeism by drawing on conservation of resources theory and self-determination theory. This framework can contribute to a better understanding of presenteeism by viewing it as an adaptive process, considering presentees as heterogeneous groups, and exploring the importance of internal and work resources for balancing health and performance demands. It sketches new avenues for research and practice and the effective management of presenteeism, health, and performance.

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Dey, Rajiv, Sachin K. Jain, and Prabin K. Padhy. "Robust flexible adaptation gain based CRM for guaranteed transient performance." Transactions of the Institute of Measurement and Control 41, no. 5 (June 11, 2018): 1233–42. http://dx.doi.org/10.1177/0142331218774607.

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High adaptation gain in model reference adaptive control (MRAC) with closed-loop reference models (CRMs) is a necessary requirement to ensure guaranteed transient performance with better tracking and fast convergence. The high adaptation gain, however, may excite unmodelled dynamics, leading to instability, making the differential equations of the adaptive law stiff and causing numerical instability. Therefore, it becomes apparent that a compromise is required on either convergence speed and transient performance or system stability. This paper attempts to address these issues with a novel CRM-MRAC architecture with flexible adaptation gain, which varies as a function of the derived parameter estimation error. The proposed adaptive scheme mathematically ensures a designable upper bound of the [Formula: see text] norm; it also ensures the absence of high-frequency oscillations in the control input, thereby making the system more robust and stable. The effectiveness of the proposed work has been validated with simulation studies on a standard numerical example and the performance has been compared with recent similar works.

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Sutton, Anna, Maree Roche, Madeleine Stapleton, and Anja Roemer. "Can Psychopathy Be Adaptive at Work? Development and Application of a Work Focused Self- and Other-Report Measure of the Triarchic Psychopathy Model." International Journal of Environmental Research and Public Health 17, no. 11 (June 2, 2020): 3938. http://dx.doi.org/10.3390/ijerph17113938.

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Psychopathy may have both adaptive and maladaptive effects at work but research into workplace psychopathy is constrained by the lack of short, work-relevant measures that can be used for both self- and other-report. We adapt the Triarchic Psychopathy Measure (TriPM) for this purpose and distinguish the (mal)adaptive effects of psychopathy at work in two time-lagged survey samples. Sample 1 consisted of managers reporting their psychopathic traits and work outcomes (well-being, engagement, burnout and job performance). Sample 2 reported on their managers’ psychopathic traits and leadership styles (servant and abusive supervision) and their own work outcomes. The TriPM (Work) is a reliable, valid, 21-item measure of triarchic psychopathy at work with self- and other-report forms. Using this measure, we demonstrate that the triarchic model’s boldness trait is related to servant leadership and predicts improved well-being and performance while meanness and disinhibition are related to abusive supervision and predict increased burnout.

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Dr Priyanka Mishra, Dr Lalit Prasad,. "Impact of work life flexibility on work performance of the employees of IT Companies." Psychology and Education Journal 58, no. 2 (February 10, 2021): 6084–89. http://dx.doi.org/10.17762/pae.v58i2.3084.

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In this digital era and with the advent of technology, work life flexibility is in demand and is being practice din many organizations to support the company and employees. In lieu of the same, this paper investigates the relationship between work life flexibility and work performance. There is very limited empirical research that substantiates the relationship betweenwork life flexibility and work performance. The Sample of the study was comprised of 179 (75 male and 104 female) of employees of IT Companies. The data were collected from work life flexibility questionnaire including Job Satisfaction, Workplace Stress, Financial Reimbursement, WorkLife Balance and Job Environment. The work performance consists the components: Task Performance, Contextual Performance, Adaptive Performance and Counterproductive Behavior. It is found that work life flexibility predicts work performance as F (1,177) =106.091, p<0.05, R=0.612, R2=0.375, β=0.612,t=10.30,p<0.05. It was also found that Gender has no significant effect on work life flexibility and work performance as: F(2,176) = 0.361 and Wilks’ Lamda= 0.697>0.05, Partial Eta Square =0.004. The findings of the study were discussed in line with the extant literature and the results of the analyzed data.It was therefore recommended that the IT companies should give due attention to the findings of the study.This study also suggests that the future direction of research should focus on work life flexibility and organizational commitment, employee engagement, absenteeism of employees of IT companies and also this study can be linked to the other sectors.

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Zhang, Jian, Ying Zhang, Yahui Song, and Zhenxing Gong. "The different relations of extrinsic, introjected, identified regulation and intrinsic motivation on employees’ performance." Management Decision 54, no. 10 (November 21, 2016): 2393–412. http://dx.doi.org/10.1108/md-01-2016-0007.

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Purpose Following self-determination theory, the purpose of this paper is to investigate the impact of four motivational profiles (external, introjected, identified regulation, and intrinsic motivation) on work performance (interpersonal, adaptive, task, and dedicative performance). The authors also examined the proposed relations with longitudinal data. Design/methodology/approach Participants in Studies 1 and 2 were from several companies in China. Employees completed the questionnaires to measure their work motivation, and managers completed the questionnaires to assess the subordinates’ work performance. Findings In Study 1, the authors found that identified regulation significantly predicted interpersonal performance and adaptive performance. External regulation, introjected regulation, and intrinsic motivation had no significant impacts on interpersonal, adaptive, task, or dedicative performance. In Study 2, the results revealed that identified regulation significantly predicted dedicative and interpersonal performance, but external regulation, introjected regulation, and intrinsic motivation had no significant impacts on the four types of performance. These two studies concluded that only identified regulation strongly predicts work performance. Originality/value The study has contributed to the body of knowledge by clarifying that identified regulation is an important type of motivation in the workplace. Managers might therefore focus on supporting employees for identifying with the organizational goals in order to promote better performance.

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Kean, Yew Weng, Agileswari Ramasamy, Shivashankar Sukumar, and Marayati Marsadek. "Adaptive Controllers for Enhancement of Stand-Alone Hybrid System Performance." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 3 (September 1, 2018): 979. http://dx.doi.org/10.11591/ijpeds.v9.i3.pp979-986.

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<span lang="EN-US">This paper presents a stand-alone hybrid renewable energy system (SHRES) consisting of solar photovoltaic (PV), wind turbine (WT) and battery energy storage (BES) in an effort reduce the dependence on fossil fuels. The renewable energy sources have individual inverters and the PV inverter of the SHRES is operated using active and reactive power control. The PV inverter have two main control structures which are active power control and reactive power control and each contain a proportional integral (PI) controller. Accurate control of the PV inverter’s active power is essential for PV curtailment applications. Thus, this paper aims to enhance the performance of the SHRES in this work by optimizing the performance of the PV inverter’s active power PI controller parameters through the design of adaptive controllers. Therefore, an adaptive controller and an optimized adaptive controller are proposed in this paper. The performances of the proposed controllers are evaluated by minimizing the objective function which is the integral of the time weighted absolute error (ITAE) criterion and this performance is then compared with a controller that is tuned by the traditional trial and error method. Simulation results showed that the optimized adaptive controller is better as it recorded an error improvement of 42.59%. The dynamic optimized adaptive controller is more adept at handling the fast changes of the SHRES operation.</span>

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Morgan, T. J. H., L. E. Rendell, M. Ehn, W. Hoppitt, and K. N. Laland. "The evolutionary basis of human social learning." Proceedings of the Royal Society B: Biological Sciences 279, no. 1729 (July 27, 2011): 653–62. http://dx.doi.org/10.1098/rspb.2011.1172.

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Humans are characterized by an extreme dependence on culturally transmitted information. Such dependence requires the complex integration of social and asocial information to generate effective learning and decision making. Recent formal theory predicts that natural selection should favour adaptive learning strategies, but relevant empirical work is scarce and rarely examines multiple strategies or tasks. We tested nine hypotheses derived from theoretical models, running a series of experiments investigating factors affecting when and how humans use social information, and whether such behaviour is adaptive, across several computer-based tasks. The number of demonstrators, consensus among demonstrators, confidence of subjects, task difficulty, number of sessions, cost of asocial learning, subject performance and demonstrator performance all influenced subjects' use of social information, and did so adaptively. Our analysis provides strong support for the hypothesis that human social learning is regulated by adaptive learning rules.

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Diener, Ed, Stuti Thapa, and Louis Tay. "Positive Emotions at Work." Annual Review of Organizational Psychology and Organizational Behavior 7, no. 1 (January 21, 2020): 451–77. http://dx.doi.org/10.1146/annurev-orgpsych-012119-044908.

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Positive organizational scholarship has led to a growing interest in the critical role of positive emotions for the lives of both workers and organizations. We review and integrate the different perspectives on positive emotions (i.e., positive valence, positive emotion regulation strategies, and positive adaptive function) and the four main mechanisms (i.e., cognition, affect, behavior, and physiology) that lead to positive organizational outcomes. There is growing evidence that positive emotions influence variables vital for workplace success such as positive beliefs, creativity, work engagement, positive coping, health, teamwork and collaboration, customer satisfaction, leadership, and performance. We additionally review dynamic features of positive emotions (i.e., intraindividual variability, reactivity, inertia, cycles, feedback loops) and their relation to psychological and work outcomes. Finally, we discuss additional questions and future directions for consideration.

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Abd Kadir, Muhamad Fadzly. "Task Performance and Adaptive Performance Among Logistician: A Conceptual Perspective on the Individual Factors and the Situational Factors." International Journal of Business and Management 3, no. 3 (June 25, 2019): 16–25. http://dx.doi.org/10.26666/rmp.ijbm.2019.3.3.

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The purpose of this paper is to propose a conceptual framework on the individual factors, situational factor and individual work performance of logistician working at the Royal Service Corps in the Malaysian Army. The current paper is intended to examine the relationship between individual and situational factors and their impact on individual work performance. Moreover, individual factors which are “openness to experience and social intelligence” and a situational factor which is “workplace relationship” have been used as independent variables. Individual ambidexterity acts as a mediating variable, while the extent of change acts as a moderating factor. The dependent variables in this study are individual work performance focusing on the dimensions of the task and adaptive performance. Theory of Work Performance and the Burke-Litwin Model are used to define concepts and explain the phenomena. It is assumed to form a significant relationship between employee capacity, willingness and opportunity towards performance and organisational environments are perceived and interpreted by their employees. Findings from this study have implication for the selection process, mixture and redeployment of personnel; training and competency development; and overall organisation improvement.

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Sharma, Durgesh, Suresh Kumar Garg, and Chitra Sharma. "Neuro Fuzzy Studies of Effect of Flexibilities on Performance of Flexible Manufacturing System." Advanced Materials Research 622-623 (December 2012): 56–59. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.56.

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The paper presents a Neuro-fuzzy study of Flexible Manufacturing System subject to different design and control strategies. Adaptive Neuro-Fuzzy inference system (ANFIS) techniques have been used to evaluate the performance. The objective of our work is to evaluating the performances of system in terms of Make Span Time at different levels of Routing and Machine flexibilities.

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Bo, Xu, Asghar A. Razzaqi, and Liu Yalong. "Cooperative Localisation of AUVs based on Huber-based Robust Algorithm and Adaptive Noise Estimation." Journal of Navigation 72, no. 04 (March 5, 2019): 875–93. http://dx.doi.org/10.1017/s0373463319000018.

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In this paper, adaptive noise estimation is used along with a previously proposed Huber-based robust algorithm for cooperative localisation of Autonomous Underwater Vehicles (AUVs). The Huber-based robust cooperative localisation algorithm named Huber-based Iterative Divided Difference Filtering (HIDDF), proposed in our previous work, effectively achieved a robust result against abnormal measurement noise, enhanced the stability of the filtering algorithm and improved the performance of cooperative localisation state estimation. However, its performance could be significantly further improved if it could estimate the system's noise statistical properties online in real time and then adaptively adjust the filtering gain matrix accordingly. In this paper, a novel adaptive noise estimation algorithm is proposed based on a covariance matching method. The proposed algorithm is suitable for adaptively estimating Gaussian and non-Gaussian measurement as well as process noise. The efficacy of the proposed algorithm has been verified through simulation results. In order to further verify the effectiveness of the proposed algorithm in practical systems, lake tests were conducted. Then, based on offline test data, the performance of the cooperative positioning algorithm under dual-pilot and single-pilot schemes was simulated. The advantages and feasibility of the algorithm are analysed and compared through performance comparison. Cooperative localisation accuracy of the previously proposed Huber-based robust algorithm has been enhanced significantly when used with the proposed adaptive noise estimation algorithm.

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Wang, Yaomei, Craig Bulger, Worakanok Thanyamanta, and Neil Bose. "A Backseat Control Architecture for a Slocum Glider." Journal of Marine Science and Engineering 9, no. 5 (May 15, 2021): 532. http://dx.doi.org/10.3390/jmse9050532.

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Adaptive sampling provides an innovative and favorable method of improving the effectiveness of underwater vehicles in collecting data. Adaptive sampling works by controlling an underwater vehicle by using measurements from sensors and states of the vehicle. A backseat driver system was developed in this work and installed on a Slocum glider to equip it with an ability to perform adaptive sampling tasks underwater. This backseat driver communicated with the main vehicle control system of the glider through a robot operating system (ROS) interface. The external control algorithms were implemented through ROS nodes, which subscribed simulated sensor measurements and states of the glider and published desired states to the glider. The glider was set up in simulation mode to test the performance of the backseat driver as integrated into the control architecture of the glider. Results from the tests revealed that the backseat driver could effectively instruct the depth, heading, and waypoints as well as activate or deactivate behaviors adaptively. The developed backseat driver will be tested in future field experiments with sensors included and safety rules implemented before being applied in adaptive sampling missions such as adaptive oil spill sampling.

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Fatima, Moulay, Habbatti Assia, and Hamdaoui Habib. "Adaptive Nonlinear Control of A Synchronous Generator." Carpathian Journal of Electronic and Computer Engineering 11, no. 2 (December 1, 2018): 39–43. http://dx.doi.org/10.2478/cjece-2018-0017.

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Abstract In this work, an adaptive nonlinear control method, was applied to a synchronous generator and we give some initial results on the adaptive control of nonlinear systems which are exactly input-output linearizable by state feedback. Parameters adaptation is used as a technique to robustify the exact cancelation of nonlinear terms, which is called for the linearization technique. The performance of the proposed adaptive nonlinear control scheme is demonstrated by simulation results. These results show that the proposed method achieves the same high dynamic performance as vector control.

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Lauderbaugh, L. K., and A. G. Ulsoy. "Model Reference Adaptive Force Control in Milling." Journal of Engineering for Industry 111, no. 1 (February 1, 1989): 13–21. http://dx.doi.org/10.1115/1.3188726.

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This paper describes the design and implementation of a Model Reference Adaptive Controller (MRAC) for force control in milling. First, previous work in this area is discussed. Results from previous work on the performance of fixed gain process controllers is summarized. The design of an MRAC for force control in milling is described, including a discussion of the implementation issues of noise and computational speed. The adaptive controller was found to perform more satisfactorily than fixed gain controllers, but is difficult to implement and tune, primarily because of the unmodeled dynamics or measurement noise resulting from runout on the milling cutter. In this problem there was sufficient separation between the noise and the signal frequency that the noise could be filtered. However, the addition of the filter added additional dynamics to the system which reduced the overall performance from that expected from digital simulations.

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Padmavathi, V., R. Saminathan, and S. Selvamuthukumaran. "An adaptive QoS supportive approach for user based services using Krill Herd Approach over Internet of Things (KHAI)." International Journal of Knowledge-based and Intelligent Engineering Systems 25, no. 1 (April 9, 2021): 109–17. http://dx.doi.org/10.3233/kes-210056.

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The demand for a providing QoS adaptive routing over IoT networks is always a challenge among current research community. This research work KHAI proposes a framework for QoS-adaptive routing approach, which incorporates Krill Herd optimization model over IoT network. Variable QoS user preference and handling differential service types over a scalable IoT network shows that challenge for designing an adaptive QoS is a must. Research survey suggest that major works have been carried out on bandwidth appreciable services and route management approaches. Hence QoS adaptive user defined services, which adapt to variable service priority levels based on user demand and network resource utilization is proposed in this research work. The performance analysis of proposed approach shows an improved throughput of 97.51 Mbps and minimal packet loss of 37.29% over a session in comparison to traditional computational approaches. Considering large scale of interconnected IoT devices, proposed approach delivers near optimal solution of throughput and adaptive utilization of network resources.

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Rossi, Dino, Zoltán Nagy, and Arno Schlueter. "Adaptive Distributed Robotics for Environmental Performance, Occupant Comfort and Architectural Expression." International Journal of Architectural Computing 10, no. 3 (September 2012): 341–59. http://dx.doi.org/10.1260/1478-0771.10.3.341.

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The integration of adaptive distributed robotics in architectural design has the potential to improve building energy performance while simultaneously increasing occupant comfort. In addition, conceiving buildings as dynamic systems with the ability to adapt to the changing environments in which they exist, opens new aesthetic possibilities for designers. As the façade of a building is a common place to address issues of energy performance and occupant comfort, this paper presents a first prototype of an adaptive solar envelope (ASE). Its functions are to provide distributed shading, solar power generation through integrated photovoltaics, and daylight distribution. We describe the interdisciplinary design process, and illustrate the architectural possibilities that arise from a distributed systems approach. The ASE is expanded to work in parallel with an adaptive artificial lighting element. Rather than being preprogrammed, the systems adapt their behavior through interaction with the environment and building occupants. This adaptation to the user's wishes is demonstrated successfully for the artificial light controller. We argue that with presently available technology and an increased exposure of architecture students and practitioners to adaptive design techniques, adaptive architectures will soon become a regular element of the built environment.

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Meng, Weizhi, Duncan S. Wong, and Lam-For Kwok. "The effect of adaptive mechanism on behavioural biometric based mobile phone authentication." Information Management & Computer Security 22, no. 2 (June 3, 2014): 155–66. http://dx.doi.org/10.1108/imcs-09-2013-0062.

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Purpose – This paper aims to design a compact scheme of behavioural biometric-based user authentication, develop an adaptive mechanism that selects an appropriate classifier in an adaptive way and conduct a study to explore the effect of this mechanism. Design/methodology/approach – As a study, the proposed adaptive mechanism was implemented using a cost-based metric, which enables mobile phones to adopt a less costly classifier in an adaptive way to build the user normal-behaviour model and detect behavioural anomalies. Findings – The user study with 50 participants indicates that our proposed mechanism can positively affect the authentication performance by maintaining the authentication accuracy at a relatively high and stable level. Research limitations/implications – The authentication accuracy can be further improved by incorporating other appropriate classifiers (e.g. neural networks) and considering other touch-gesture-related features (e.g. the speed of a touch). Practical implications – This work explores the effect of adaptive mechanism on behavioural biometric-based user authentication. The results should be of interest for software developers and security specialists in deciding whether to implement such a mechanism for enhancing authentication performance on mobile phones. Originality/value – The user study with 50 participants indicates that this mechanism can positively affect the authentication performance by maintaining the authentication accuracy at a relatively high and stable level. To the best of our knowledge, our work is an early work discussing the implementation of an adaptive mechanism on a mobile phone.

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Zhou, X. "Multiple Auto-Adapting Color Balancing for Large Number of Images." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 29, 2015): 735–42. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-735-2015.

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This paper presents a powerful technology of color balance between images. It does not only work for small number of images but also work for unlimited large number of images. Multiple adaptive methods are used. To obtain color seamless mosaic dataset, local color is adjusted adaptively towards the target color. Local statistics of the source images are computed based on the so-called adaptive dodging window. The adaptive target colors are statistically computed according to multiple target models. The gamma function is derived from the adaptive target and the adaptive source local stats. It is applied to the source images to obtain the color balanced output images. Five target color surface models are proposed. They are color point (or single color), color grid, 1st, 2nd and 3rd 2D polynomials. Least Square Fitting is used to obtain the polynomial target color surfaces. Target color surfaces are automatically computed based on all source images or based on an external target image. Some special objects such as water and snow are filtered by percentage cut or a given mask. Excellent results are achieved. The performance is extremely fast to support on-the-fly color balancing for large number of images (possible of hundreds of thousands images). Detailed algorithm and formulae are described. Rich examples including big mosaic datasets (e.g., contains 36,006 images) are given. Excellent results and performance are presented. The results show that this technology can be successfully used in various imagery to obtain color seamless mosaic. This algorithm has been successfully using in ESRI ArcGis.

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Wang, Zhaoqiang, Zhen Wang, Mingen Wu, and Yiping Luo. "Multivariable Robust Fault Tolerant Control For Work-Class Remotely Operated Vehicle." Periodica Polytechnica Mechanical Engineering 61, no. 2 (March 29, 2017): 87. http://dx.doi.org/10.3311/ppme.9312.

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To deal with complex disturbances and the presence of partial loss of propeller effectiveness in work-class remotely operated vehicles (ROVs), a method of robust fault tolerant control is proposed, which is based on adaptive sliding mode control. In this approach, adaptive technique is employed to estimate the bounds’ information of external complex disturbances and the effectiveness loss of the propeller. And a sliding mode controller is then designed to achieve fault tolerant control and external disturbance rejection. Corresponding stability of the closed-loop control system is analyzed using Lyapunov stability theory. Apply this method to trajectory tracking control of work-class ROVs, the simulation results validate that great fault tolerant capability and a good performance of external disturbance rejection can be achieved even under partial loss of propeller effectiveness.

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Dwijotomo, Abdurahman, Mohd Azizi Abdul Rahman, Mohd Hatta Mohammed Ariff, Hairi Zamzuri, and Wan Muhd Hafeez Wan Azree. "Cartographer SLAM Method for Optimization with an Adaptive Multi-Distance Scan Scheduler." Applied Sciences 10, no. 1 (January 2, 2020): 347. http://dx.doi.org/10.3390/app10010347.

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This paper presents the use of Google’s simultaneous localization and mapping (SLAM) technique, namely Cartographer, and adaptive multistage distance scheduler (AMDS) to improve the processing speed. This approach optimizes the processing speed of SLAM which is known to have performance degradation as the map grows due to a larger scan matcher. In this proposed work, the adaptive method was successfully tested in an actual vehicle to map roads in real time. The AMDS performs a local pose correction by controlling the LiDAR sensor scan range and scan matcher search window with the help of scheduling algorithms. The scheduling algorithms manage the SLAM that swaps between short and long distances during map data collection. As a result, the algorithms efficiently improved performance speed similar to short distance LiDAR scans while maintaining the accuracy of the full distance of LiDAR. By swapping the scan distance of the sensor, and adaptively limiting the search size of the scan matcher to handle difference scan sizes, the pose’s generation performance time is improved by approximately 16% as compared with a fixed scan distance, while maintaining similar accuracy.

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Rico, Ramon, Cristina Gibson, Miriam Sanchez-Manzanares, and Mark A. Clark. "Team adaptation and the changing nature of work: Lessons from practice, evidence from research, and challenges for the road ahead." Australian Journal of Management 45, no. 3 (May 22, 2020): 507–26. http://dx.doi.org/10.1177/0312896220918908.

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As the fabric of modern organizations, teams provide capacity to handle the ongoing adaptation demanded by contexts that characterize the future of work. While scholars have studied how team composition and structural characteristics facilitate team adaptation, both research and practice will benefit from also explicating the process of adapting—how a team’s active coping determines team adaptation over time. To move in this direction, we integrate perspectives on team adaptation which emphasize how teams understand complex environments and combine coordination processes to reach adaptive outcomes. This clarifies when, why, and how teams adapt, yielding performance benefits for organizations. Our goal is to offer evidence-based insights and theoretical reasoning to foster future research explaining the team adaptation–performance connection in current complex and changing work environments. JEL classification: L2

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Zhu, Haibin, Ming Hou, and Mengchu Zhou. "Adaptive Collaboration Based on the E-CARGO Model." International Journal of Agent Technologies and Systems 4, no. 1 (January 2012): 59–76. http://dx.doi.org/10.4018/jats.2012010104.

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Adaptive Collaboration (AC) is essential for maintaining optimal team performance on collaborative tasks. However, little research has discussed AC in multi-agent systems. This paper introduces AC within the context of solving real-world team performance problems using computer-based algorithms. Based on the authors’ previous work on the Environment-Class, Agent, Role, Group, and Object (E-CARGO) model, a theoretical foundation for AC using a simplified model of role-based collaboration (RBC) is proposed. Several parameters that affect team performance are defined and integrated into a theorem, which showed that dynamic role assignment yields better performance than static role assignment. The benefits of implementing AC are further proven by simulating a “future battlefield” of remotely-controlled robotic vehicles; in this scenario, team performance clearly benefits from shifting vehicles (or roles) using a single controller. Related research is also discussed for future studies.

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46

Shu, Wei. "Adaptive Dynamic Process Scheduling on Distributed Memory Parallel Computers." Scientific Programming 3, no. 4 (1994): 341–52. http://dx.doi.org/10.1155/1994/856294.

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One of the challenges in programming distributed memory parallel machines is deciding how to allocate work to processors. This problem is particularly important for computations with unpredictable dynamic behaviors or irregular structures. We present a scheme for dynamic scheduling of medium-grained processes that is useful in this context. The adaptive contracting within neighborhood (ACWN) is a dynamic, distributed, load-dependent, and scalable scheme. It deals with dynamic and unpredictable creation of processes and adapts to different systems. The scheme is described and contrasted with two other schemes that have been proposed in this context, namely the randomized allocation and the gradient model. The performance of the three schemes on an Intel iPSC/2 hypercube is presented and analyzed. The experimental results show that even though the ACWN algorithm incurs somewhat larger overhead than the randomized allocation, it achieves better performance in most cases due to its adaptiveness. Its feature of quickly spreading the work helps it outperform the gradient model in performance and scalability.

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Sousa, Tiago, Dalton Arantes, and Marcelo Fernandes. "Adaptive Beamforming Applied to OFDM Systems." Sensors 18, no. 10 (October 20, 2018): 3558. http://dx.doi.org/10.3390/s18103558.

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This work proposes an adaptive beamforming scheme applied to time domain, pre-FFT (Fast Fourier Transformation), Orthogonal Frequency-Division Multiplexing (OFDM) systems. This scheme improves the performance and the capacity of OFDM systems, using a supervised adaptive algorithm, with frequency domain multiplexed pilots of the OFDM system as a reference. The simplicity of the proposed structure, as well as the method used to obtain reference signals for the adaptive beamforming, are essential aspects that distinguish this paper from other publications. Details on the operation of the proposed scheme, as well as the performance curves, are presented in this manuscript. The proposal investigated here allows a significant reduction in the guard interval of the OFDM system, thereby increasing its robustness or transmission capacity.

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Hutchins, Edwin. "Ecological Cognition and Cognitive Ecology." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 22 (July 2000): 566–69. http://dx.doi.org/10.1177/154193120004402218.

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The Ecological Cognition perspective emphasizes the fact that human cognition is adaptive to the constraints of the context of task performance. People are good at developing strategies for task performance that take advantage of the informational affordances of the task environment. Therefore, if we wish to understand human cognition, we must look beyond the skin and skull of the individual to the material and social structures with which the mind interacts. Of course, material artifacts and social arrangements are elements of adaptive processes as well. Material artifacts are often crystallizations of regularities in the task environment and they develop over time, changing adaptively to fit the constraints of the task, the properties of the task performers, and the other artifacts employed in the task performance. Such changes in the material artifacts change the informational affordances of the task environment, which creates new opportunities for the development of strategies. Thus, human cognition and the material supports of human cognition must be seen as a co-adaptive system. Similarly, in complex work settings where two or more persons jointly perform tasks, social arrangements are enacted anew each time a socially distributed task is performed. Strategies for the social division of cognitive labor are also part of this co-adaptive system, both constraining and being constrained by mental and material artifacts. These interlocked co-adaptive systems suggest a cognitive ecology. It's a compelling way of talking about such systems. Can it be more than a metaphor?

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S. Arulananth, T., R. Satheesh, and P. Bhaskara Reddy. "Performance Evaluation of Frame based Adaptive Compressed Sensing and Non-Adaptive Compressed Sensing based on Average Frame Signal to Noise Ratio." International Journal of Engineering & Technology 7, no. 4.10 (October 2, 2018): 202. http://dx.doi.org/10.14419/ijet.v7i4.10.20836.

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The primary inspiration of our work is to discovering upgrades in the current Compressed Sensing procedure that utilizations Non Adaptive Projection Matrix rule. Normal Frame Signal-to-Noise Ratio (AFSNR) is intended to evaluate the show of the Frame-Based Adaptive Compressed Sensing with the Non-Adaptive Compressed Sensing (CS). It is a developing sign securing strategy and straight gathers the signs in a compacted shape on the off chance that they are meager on some specific premise. Proposed approach utilizes Adaptive Projection Matrix in light of edge examination which gives fundamentally enhanced discourse recreation quality and decreases the noise levels.

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Oehmke, Robert, Janis Hardwick, and Quentin F. Stout. "Scalable Algorithms for Adaptive Statistical Designs." Scientific Programming 8, no. 3 (2000): 183–93. http://dx.doi.org/10.1155/2000/508081.

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We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning algorithms for a stochastic environment, and we focus on the problem of optimally assigning patients to treatments in clinical trials. While adaptive designs have significant ethical and cost advantages, they are rarely utilized because of the complexity of optimizing and analyzing them. Computational challenges include massive memory requirements, few calculations per memory access, and multiply-nested loops with dynamic indices. We analyze the effects of various parallelization options, and while standard approaches do not work well, with effort an efficient, highly scalable program can be developed. This allows us to solve problems thousands of times more complex than those solved previously, which helps make adaptive designs practical. Further, our work applies to many other problems involving neighbor recurrences, such as generalized string matching.

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Journal articles on the topic 'Adaptive work performance'

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