Academic literature on the topic 'Partial-report task'
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Journal articles on the topic "Partial-report task"
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Lunau, Rasmus, and Thomas Habekost. "Effects of task-irrelevant grouping on visual selection in partial report." Attention, Perception, & Psychophysics 79, no. 5 (March 31, 2017): 1323–35. http://dx.doi.org/10.3758/s13414-017-1315-8.
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Dixon, Peter. "Stimulus Duration May Affect Partial Report Performance." Perception 14, no. 1 (February 1985): 63–66. http://dx.doi.org/10.1068/p140063.
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Townsend, and Di Lollo and Moscovitch investigated the retention of item information in nearly identical variations of the partial report task. Whereas Townsend found a slight decrement in performance as the interval increased, Di Lollo and Moscovitch found a substantial increment. An experimental study of procedural differences that may have led to this discrepancy is reported. The results suggest that stimulus duration may have been responsible: Di Lollo and Moscovitch used extremely short durations (2 ms), while Townsend used longer durations (50 ms). This difference in durations may be important when the stimulus array and the partial report probe occur in close temporal contiguity.
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Foerster, Rebecca M., and Werner X. Schneider. "Task-Irrelevant Features in Visual Working Memory Influence Covert Attention: Evidence from a Partial Report Task." Vision 3, no. 3 (August 27, 2019): 42. http://dx.doi.org/10.3390/vision3030042.
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Selecting a target based on a representation in visual working memory (VWM) affords biasing covert attention towards objects with memory-matching features. Recently, we showed that even task-irrelevant features of a VWM template bias attention. Specifically, when participants had to saccade to a cued shape, distractors sharing the cue’s search-irrelevant color captured the eyes. While a saccade always aims at one target location, multiple locations can be attended covertly. Here, we investigated whether covert attention is captured similarly as the eyes. In our partial report task, each trial started with a shape-defined search cue, followed by a fixation cross. Next, two colored shapes, each including a letter, appeared left and right from fixation, followed by masks. The letter inside that shape matching the preceding cue had to be reported. In Experiment 1, either target, distractor, both, or no object matched the cue’s irrelevant color. Target-letter reports were most frequent in target-match trials and least frequent in distractor-match trials. Irrelevant cue and target color never matched in Experiment 2. Still, participants reported the distractor more often to the target’s disadvantage, when cue and distractor color matched. Thus, irrelevant features of a VWM template can influence covert attention in an involuntarily object-based manner when searching for trial-wise varying targets.
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MacLean, Mary, and Barry Giesbrecht. "Reward history enhances working memory precision in a continuous partial report task." Journal of Vision 15, no. 12 (September 1, 2015): 1352. http://dx.doi.org/10.1167/15.12.1352.
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Gugerty, Leo. "Evidence from a Partial Report Task for Forgetting in Dynamic Spatial Memory." Human Factors: The Journal of the Human Factors and Ergonomics Society 40, no. 3 (September 1998): 498–508. http://dx.doi.org/10.1518/001872098779591412.
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Giesbrecht, Barry, Peter Dixon, and Alan Kingstone. "Cued Shifts of Attention and Memory Encoding in Partial Report: A Dual-Task Approach." Quarterly Journal of Experimental Psychology Section A 54, no. 3 (August 2001): 695–725. http://dx.doi.org/10.1080/713755989.
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Weckesser, Lisa J., Nina C. Alexander, Clemens Kirschbaum, Eva Mennigen, and Robert Miller. "Hydrocortisone Counteracts Adverse Stress Effects on Dual-Task Performance by Improving Visual Sensory Processes." Journal of Cognitive Neuroscience 28, no. 11 (November 2016): 1784–803. http://dx.doi.org/10.1162/jocn_a_01006.
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The impact of acute stress on executive processes is commonly attributed to glucocorticoid-induced disruptions of the pFC. However, the occipital cortex seems to express a higher density of glucocorticoid receptors. Consequently, acute stress effects on executive processes could as well be mediated by glucocorticoid (e.g., cortisol)-induced alterations of visual sensory processes. To investigate this alternative route of stress action by demarcating the effects of acute stress and cortisol on executive from those on visual sensory processes, 40 healthy young men completed a standardized stress induction (i.e., the Trier Social Stress Test) and control protocol in two consecutive sessions. In addition, they received either a placebo or hydrocortisone (0.12-mg/kg bodyweight) pill and processed a dual and a partial report task to assess their executive and visual sensory processing abilities, respectively. Hydrocortisone administration improved both partial report and dual-task performance as indicated by increased response accuracies and/or decreased RTs. Intriguingly, the hydrocortisone-induced increase in dual-task performance was completely mediated by its impact on partial report performance (i.e., visual sensory processes). Moreover, RT measures in both tasks shared approximately 26% of variance, which was only in part attributable to hydrocortisone administration (ΔR2 = 8%). By contrast, acute stress selectively impaired dual-task performance (i.e., executive processes), presumably through an alternative route of action. In summary, the present results suggest that cortisol secretion (as mimicked by hydrocortisone administration) may counteract adverse residual stress effects on executive processes by improving visual sensory processes (e.g., the maintenance and amplification of task-relevant sensory information).
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Kusumawaty, Mia, and Betri Betri. "PENGARUH PENGALAMAN AUDIT, BEBAN KERJA, TASK SPECIFIC KNOWLEDGE, TIPE KEPRIBADIAN TERHADAP PENDETEKSIAN KECURANGAN LAPORAN KEUANGAN (Studi Kasus Kantor Akuntan Publik Kota Palembang)." BALANCE Jurnal Akuntansi dan Bisnis 4, no. 1 (June 1, 2019): 537. http://dx.doi.org/10.32502/jab.v4i1.1829.
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The formulation of this research is how influence of Audit Experience, Workload, Task Specific Knowledge, Personality Types on the detection of Financial Report Fraud case study at Public Accounting Firm Palembang. The purpose is to know, get empirical evidence and analyze Audit Experience, Workload, Task Specific Knowledge, Personality Types on Financial Report Fraud. This study includes Associative research. The population used in this study is the Auditor who works in the Public Accounting Firm Palembang. Sample in this research counted 37 Respondents. Methods Data collection used in this study is a questionnaire. Hypothetical test used is multiple linear regression. The results of this study show Partial Audit Experience has a positive effect on Fraud Financial Statements, Workload positively affect the Financial Report Fraud, Task Specific Knowledge positively affect the Fraud Financial Statements, Personality Types positively affect The Financial Report Fraud. Simultaneously Audit Experience, Workload, Task Specific Knowledge, Personality Types positively influence to Financial Report Fraud.
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Ajmire, Samiksha, Shilpi Karpathak, Khushbu Khandelwal, Surekha Ajmire, and Apurva Chaturvedi. "Aesthetic finger prosthesis." International Journal of Oral Health Dentistry 8, no. 1 (March 15, 2022): 86–90. http://dx.doi.org/10.18231/j.ijohd.2022.018.
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Finger and partial finger amputations are commonly due to traumatic injuries. Rehabilitation of such patients with disabilities is a challenging task. The success of the prosthesis depends on the precision of planning the prosthesis, making the impression, carving the model and choosing the material that best suits the concerned circumstances. This clinical report portrays a method to fabricate silicone rubber prosthesis for a patient who has a partial finger loss caused due to trauma.
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González-García, Higinio, Guillaume Martinent, and Michel Nicolas. "Relationships between coach's leadership, group cohesion, affective states, sport satisfaction and goal attainment in competitive settings." International Journal of Sports Science & Coaching 17, no. 2 (November 25, 2021): 244–53. http://dx.doi.org/10.1177/17479541211053229.
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We examined whether a perceived coach's leadership predicted group cohesion and whether group cohesion predicted intensity and direction of positive affect and negative affect experienced during competition, sport satisfaction and goal attainment following the completion of a sports competition. A sample of 296 competitive athletes (M age = 21.61; standard deviation = 6.32) participated in the study and completed a series of self-report questionnaires assessing the aforementioned constructs. A partial least square path modelling approach was used to examine the relationships between the study variables. Results of the structural partial least square path modelling model revealed that: (a) democratic coach behaviour negatively predicted Group Integration Task, (b) authoritarian coach positively predicted Individual Attractions to the Group-Social, and (c) reward positively predicted Group Integration Task. Moreover, partial least square path modelling results also revealed that (a) Individual Attraction to the Group-Task positively predicted the direction of negative affect during competition, (b) authoritarian coach marginally positively predicted Group Social Integration during competition, and (c) Group Social Integration marginally negatively predicted the direction of Negative Affects during competition. Thus, contradicting previous studies, results did not provide evidence of the empowering effect of democratic coach leadership on Group Integration Task. Finally, results provided evidence for the significant relationships between group cohesion and athletes’ competitive outcomes such as affective states experienced during competition.
Dissertations / Theses on the topic "Partial-report task"
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Wilson, Vicki L. "Developmental tasks of pregnant adolescents a research report submitted in partial fulfillment ... /." 1986. http://catalog.hathitrust.org/api/volumes/oclc/68788057.html.
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Blasier, Mary Gail. "A review of the Girl Talk intervention for younger teens a report submitted in partial fulfillment ... for the degree of Master of Science, Community Health Nursing ... /." 1996. http://catalog.hathitrust.org/api/volumes/oclc/68799606.html.
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Warren, Heron. "A description of the implementation of the "Girl Talk" program in young adolescent female a report submitted in partial fulfillment ... for the degree of Master of Science in Community Health Nursing ... /." 1996. http://catalog.hathitrust.org/api/volumes/oclc/68799470.html.
Full textBooks on the topic "Partial-report task"
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Center, Lewis Research, ed. Design and experimental performance of a two stage partial admission turbine, task B.1/B.4: Final report. Cleveland, Ohio: NASA-Lewis Research Center, 1992.
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(NRC), Nuclear Regulatory Commission. Three Mile Island Nuclear Power Plant Accident: NRC Official Lessons Learned Task Force Final Report - 1979 Partial Meltdown with Radiation Releases. Independently Published, 2017.
Find full textBook chapters on the topic "Partial-report task"
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"The influence of luminance on localization and identification performance in a partial-report bar-probe task." In Visual Search 2, 363–70. CRC Press, 1993. http://dx.doi.org/10.1201/9781482272352-37.
Full textConference papers on the topic "Partial-report task"
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Kamiya, Keisuke, and Yuichi Mizuno. "Experimental Identification of Nonlinear Continuous Vibratory Systems Using Nonlinear Principal Component Analysis: Application to Structural Modification." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35155.
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In identifying machines and structures, one sometimes encounters cases in which the system should be regarded as a nonlinear continuous system. The governing equations of motion of a nonlinear continuous system are described by a set of nonlinear partial differential equations and boundary conditions. Determining both of them simultaneously is a quite difficult task. Thus, one has to discretize the governing equations of motion, and reduce the order of the equations as much as possible. In analysis of nonlinear vibratory systems, it is known that one can reduce the order of the system by using the nonlinear normal modes while preserving the effect of the nonlinearity accurately. The nonlinear normal modes are description of motion by nonlinear functions of the coordinates for analysis. In identification it is expected that an accurate mathematical model with minimum degree of freedom can be determined if one can express the response as nonlinear functions of the coordinates for identification. Based on this idea, in a previous report the authors proposed an identification technique which uses nonlinear principal component analysis by a neural network. In this report, procedure to apply the identified result to structural modification is presented. It is shown via numerical example that when the structural modification is not so large, response prediction of the modified system with enough accuracy is possible.
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Vele, Kimberly, Jessica Cavalli, and Anita Cservenka. "Effort-Based Decision Making and Self-Reported Apathy in Frequent Cannabis Users and Healthy Controls." In 2021 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2022. http://dx.doi.org/10.26828/cannabis.2022.01.000.28.
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Background: Cannabis use rates have been escalating in recent years within the United States, and the effects of cannabis on motivation and effort-based decision making have been of increased interest. Amotivational syndrome is a term used to refer to lack of motivation, passive personality, non-productive behavior, and lower educational attainment related to chronic cannabis use. However, past literature has reported mixed findings for the effects of cannabis on motivation across both behavioral and self-report studies; therefore, the current study aimed to evaluate the association between frequent cannabis use, motivated behavior, and self-reported apathy in individuals 18 years and older. Methods: Cannabis users who reported, on average, 3 or more days/week of cannabis use over the past year, and healthy controls who reported once/month or less cannabis use over the past year were recruited. Participants withheld from substance use 12 hours prior to the study visit. They completed a breathalyzer test, urine toxicology screen, the Apathy Evaluation Scale (AES), and the Effort Expenditure for Rewards Task (EEfRT), a computerized button-pressing task that measures effort-based decision making whereby individuals must increase effort for monetary reward. There were no significant differences between groups on any demographic characteristics except for past 30-day alcohol use (p = 0.001), and depression scores (p = 0.005; determined by the Beck Depression Inventory-II), which were both greater in cannabis users relative to healthy controls. A repeated measures analysis of covariance (ANCOVA) was used to examine the effects of Group, reward magnitude, probability, and their interaction on hard task selections on the EEfRT, controlling for alcohol and depressive symptoms. A separate ANCOVA examined between-group differences on the AES with the same covariates. Results: The main results indicated that relative to healthy controls, cannabis users were significantly more likely to select hard tasks on the EEfRT regardless of reward magnitude or probability of winning the reward (p = 0.014, partial η2=0.10). Self-reported apathy was higher in cannabis users relative to controls (p = 0.02), but after controlling for alcohol use and depressive symptoms, these group differences were no longer significant (p = 0.46). Furthermore, the number of hard task selections on the EEfRT was not significantly related to self-reported apathy in cannabis users (p = 0.68), or healthy controls (p = 0.52). Conclusions: These findings indicate that cannabis users exhibit a greater likelihood of exerting more effort for reward, suggesting enhanced motivation relative to healthy controls. Thus, the current results do not support the amotivation hypothesis in adult frequent cannabis users. Despite some harms of frequent cannabis use, amotivation may not be among them.
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McGinn, Barry. "How Drone Data Capture and a Visual Intelligence Platform Offer Unparalleled Insight into Capital Project Delivery." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211078-ms.
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Abstract The construction industry is recognising the increasingly important role of digital technology in delivering capital projects on time and within budget. Over 95% of major projects (over $1bn) are delayed or over budget, according to a report by Accenture. Project owners are under pressure to become more efficient, innovative, and ambitious in how they operate, they are turning to digital technologies to enable full project visibility and evidencing data to make more informed decisions. The execution of capital projects within the energy sector is typically complex and often relies upon information being shared between the site and globally dispersed project teams. Determining a holistic view of a capital project can be challenging. Storing and interpreting key data associated with planning resources, equipment allocation, utilization and coordinating the delivery of raw materials only compound the challenge of effective reporting. Traditionally, assessing the status of a project was heavily reliant on paper-based processes. This was a difficult method to collate and manage valuable project information centrally and key stakeholders often had to make decisions based on partial data. The process relied on management's presence frequently onsite and a ‘boots on the ground’ approach to visual inspection. Large volumes of data were often captured by quality inspectors and construction engineers which was an arduous and time-consuming task.
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Wilson, Michael. "Simulation of Ship Wakes in Water Tunnel Cavitation Testing of Models." In SNAME 22nd American Towing Tank Conference. SNAME, 1989. http://dx.doi.org/10.5957/attc-1989-005.
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Reliable cavitation testing of ship propulsors requires accurate modelling of the ship wake velocity field. This paper presents a progress report on efforts at the David Taylor Research Center (DTRC) to generate properly shaped velocity patterns in a water tunnel by means of partial length afterbody models. A survey of references is presented on the general topic of applications and techniques of wake simulation in water tunnels using a variety of means, including screens mounted normal to the tunnel stream; partial length (dummy model) hull representations; and full length geometrically scaled hull models. Three recent examples are described in some detail of successful wake-generating bodies designed for experiments conducted in the DTRC 36-inch Variable Pressure Water Tunnel. The wakes of these examples are taken in order of increasing degree of difficulty. In each case, there is a discussion of the target wake, the body design considerations, and the quality of the resultant simulated wake.
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Weakland, Dennis P., Glenn White, and Paul Crooker. "Incorporating Peening Into ASME Section XI Code Cases N-729 and N-770 for PWSCC Mitigation in Alloy 82/182/600 Locations." In ASME 2016 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/pvp2016-64008.
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This paper will discuss the ASME Code Committee activities involved in the incorporation of surface stress improvement (SSI) into ASME Code Cases N-770-4 and N-729-5. ASME Code Cases N-770 [1] and N-770-1 introduced several mitigation approaches for dissimilar metal weld (DMW) locations in PWR primary system piping and provided inspection relief for locations that were mitigated. The initial approaches contained in N-770 and N-770-1 included mechanical stress improvement and weld overlay methods that have a global stress relief effect to achieve a very low tensile surface stress state or a compressive stress state at the weld inside surface to halt crack initiation, as well as growth of acceptably sized cracks. The weld overlay mitigation methods are also effective because they introduce PWSCC-resistant material, i.e., Alloys 52, 152, or their variants. (The initial approaches also included Alloy 52/152 weld inlay and weld onlay, methods that do not require stress improvement but do require access to the weld inside surface.) While the mechanical stress improvement and weld overlay methods address the majority of the DMW locations in the primary piping system, there are locations that cannot be treated by these approaches due to the weld geometry or access limitations for the needed equipment. Additionally the dissimilar metal J-groove welds in the reactor pressure vessel head penetration nozzles (RPVHPN) could not be addressed at all by the approaches developed for DMW locations. To address the industry need to mitigate the unfavorable DMW geometries and locations along with the RPVHPN locations, the use of surface stress improvement (SSI) was studied and documented in EPRI reports Materials Reliability Program (MRP)-267 [2], “Technical Basis for Primary Water Stress Corrosion Cracking by Surface Stress Improvement,” and MRP-335 [3], “Topical Report for Primary Water Stress Corrosion Cracking by Surface Stress Improvement.” These reports formed the technical basis for the SSI-related changes made in Code Cases N-770-4 and N-729-5. Along with the technical bases noted, support from the international community in terms of operational experience with SSI in their power plants was invaluable in providing the necessary understanding, context, and confidence to committee members. The ASME “Task Group High Strength Nickel Alloy Issues” (TGHSNAI) was assigned the task of revising the existing Code Cases, N-770 [1], “Alternate Examination Requirements and Acceptance Standards for Class 1 PWR Piping and Vessel Nozzle Butt Welds Fabricated With UNS N06082 or UNS W86182 Weld Filler Material With or Without Application of Listed Mitigation Activities” and N-729 [4], “Alternate Examination Requirements for PWR Reactor Vessel Upper Heads With Nozzles Having Pressure-Retaining Partial-Penetration Welds.” To incorporate the SSI approach into these Code Cases, the first action was to determine whether the SSI process was considered to be a peening process as defined by ASME Section III NB-4422 criteria. This required the submittal of an Interpretation of NB-4422 to determine if SSI techniques were considered a peening process under ASME Section III. The interpretation (Interpretation III-1-13-03), documented in ASME File 12-1192 [5], specified that SSI was not considered peening by Section III. This interpretation provided the framework by which SSI could be directly applied to ASME Section XI inspection criteria without the need to first revise ASME Section III NB-4422. SSI (peening) was first incorporated into Code Case N-770 [1] to provide a mitigation alternative for locations unable to be addressed by the methods addressed thus far. The revision to Code Case N-770 [1] does not provide guidance for the application of SSI activities but rather, it provides the process performance criteria and the inspection guidance following the application of SSI and establishes the pre-application inspection acceptance criteria. Following the approval of SSI in Code Case N-770 [1] addressing the DMW in the primary coolant piping system, the SSI approach was applied to the partial penetration dissimilar metal J-groove welds in RPVHPNs in Code Case N-729 [4]. The application to RPVHPNs provides the industry with a valuable asset preservation tool while significantly lowering the safety risks associated with primary water stress corrosion cracking (PWSCC) and degradation from borated water leakage for the RPVHPNs.
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Lamki, Hamood, Abdallah Kalbani, Fahad Khatri, Ashish Joshi, and Amira Wahaibi. "Successful Implementation of Electronically Delivering the Limit Project for Drilling Process Optimization." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211849-ms.
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Abstract Drilling is a complex process and delivering a successful well requires identifying proper technologies and utilizing them efficiently to save time & cost. Today in Oil & Gas industry there is a huge focus on digital technologies to improve Drilling Process efficiency and PDO decided to implement an innovative approach of process optimization by implementing a unique project "electronically Delivering the Limit (eDtL)". The overall approach with eDtL project was to implement a platform which can provide Drilling Operations team the technical limit for all Drilling Activities, which is the theoretical minimum time required to perform an activity, based on available knowledge and technology. eDtL system utilizes rig sensors data transmitted in Real-Time from Drilling Rigs to automatically detect the Rig Activity and focus on identifying the areas of Drilling Performance Improvements and minimizing redundant tasks for rig and office teams. The identified opportunities are communicated with rig team for implementation and the performance is tracked again to highlight the improvements. eDtL system also provides capability for continuous improvement of organizational processes by introducing automation of redundant tasks. One of such improvement was partial automation of Daily Drilling Report which was historically manually recorded by rig team daily.
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Ljubin-Golub, Tajana. "THE ROLE OF ACHIEVEMENT GOALS IN MOTIVATIONAL REGULATION AND FLOW IN LEARNING." In International Psychological Applications Conference and Trends. inScience Press, 2021. http://dx.doi.org/10.36315/2021inpact037.
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"Appropriate self-regulation in motivation and experiencing flow in learning and other academic activities are important factors for success in study and psychological wellbeing. Previous studies suggested that achievement goals have role in student’s motivation for learning, but there is only partial knowledge regarding the role of achievement goals in motivational regulation and academic flow. The aim of this study was to explore: a) the role of achievement goals in motivational self-regulation and study-related flow; b) the incremental role of mastery self-talk motivational strategy in academic flow over the mastery-approach goal; c) the mediating role of mastery self-talk motivational strategy in the relationship between mastery-approach goal and academic flow. It was expected that both mastery-approach goal and mastery self-talk motivational strategy will have positive and incremental role in academic flow, and that the relationship between mastery-approach goal and academic flow would be mediated through using motivational strategy of mastery self-talk. The participants were 113 university undergraduate students studying mathematics (M= 20 years, 61% females). Self-report questionnaires assessing achievement goals, strategies used for self-regulation of motivation, and study-related flow were applied. Data analysis included regression analyses and mediational analyses. Regression analyses revealed that personal goal achievements explained 43% of variance in mastery self-talk strategy, 32% of variance in performance-approach self-talk strategy, 18% of variance in performance-avoidance self-talk strategy, 11% of variance in environmental control strategy, 7% of variance in self-consequating strategy, and 10% of variance in proximal goal strategy. Personal achievement goals explained 45% of variance in academic flow. Mastery-approach goal was predictive for explaining individual variance in most of positive motivational strategies and academic flow. In line with hypothesis, it was found that mastery self-talk mediated the relationship between mastery-approach goal and flow. The results underscore the importance of adopting mastery-approach goal and using mastery self-talk strategy in order to experience study-related flow."
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Regazzoni, Daniele, Andrea Vitali, Caterina Rizzi, and Giorgio Colombo. "A Method to Analyse Generic Human Motion With Low-Cost Mocap Technologies." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86197.
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A number of pathologies impact on the way a patient can either move or control the movements of the body. Traumas, articulation arthritis or generic orthopedic disease affect the way a person can walk or perform everyday movements; brain or spine issues can lead to a complete or partial impairment, affecting both muscular response and sensitivity. Each of these disorder shares the need of assessing patient’s condition while doing specific tests and exercises or accomplishing everyday life tasks. Moreover, also high-level sport activity may be worth using digital tools to acquire physical performances to be improved. The assessment can be done for several purpose, such as creating a custom physical rehabilitation plan, monitoring improvements or worsening over time, correcting wrong postures or bad habits and, in the sportive domain to optimize effectiveness of gestures or related energy consumption. The paper shows the use of low-cost motion capture techniques to acquire human motion, the transfer of motion data to a digital human model and the extraction of desired information according to each specific medical or sportive purpose. We adopted the well-known and widespread Mocap technology implemented by Microsoft Kinect devices and we used iPisoft tools to perform acquisition and the preliminary data elaboration on the virtual skeleton of the patient. The focus of the paper is on the working method that can be generalized to be adopted in any medical, rehabilitative or sportive condition in which the analysis of the motion is crucial. The acquisition scene can be optimized in terms of size and shape of the working volume and in the number and positioning of sensors. However, the most important and decisive phase consist in the knowledge acquisition and management. For each application and even for each single exercise or tasks a set of evaluation rules and thresholds must be extracted from literature or, more often, directly form experienced personnel. This operation is generally time consuming and require further iterations to be refined, but it is the core to generate an effective metric and to correctly assess patients and athletes performances. Once rules are defined, proper algorithms are defined and implemented to automatically extract only the relevant data in specific time frames to calculate performance indexes. At last, a report is generated according to final user requests and skills.
Reports on the topic "Partial-report task"
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Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, December 2002. http://dx.doi.org/10.32747/2002.7585193.bard.
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This research report describes a methodology whereby multi-spectral and hyperspectral imagery from remote sensing, is used for deriving predicted field maps of selected plant growth attributes which are required for precision cropping. A major task in precision cropping is to establish areas of the field that differ from the rest of the field and share a common characteristic. Yield distribution f maps can be prepared by yield monitors, which are available for some harvester types. Other field attributes of interest in precision cropping, e.g. soil properties, leaf Nitrate, biomass etc. are obtained by manual sampling of the filed in a grid pattern. Maps of various field attributes are then prepared from these samples by the "Inverse Distance" interpolation method or by Kriging. An improved interpolation method was developed which is based on minimizing the overall curvature of the resulting map. Such maps are the ground truth reference, used for training the algorithm that generates the predicted field maps from remote sensing imagery. Both the reference and the predicted maps are stratified into "Prototype Plots", e.g. 15xl5 blocks of 2m pixels whereby the block size is 30x30m. This averaging reduces the datasets to manageable size and significantly improves the typically poor repeatability of remote sensing imaging systems. In the first two years of the project we used the Normalized Difference Vegetation Index (NDVI), for generating predicted yield maps of sugar beets and com. The NDVI was computed from image cubes of three spectral bands, generated by an optically filtered three camera video imaging system. A two dimensional FFT based regression model Y=f(X), was used wherein Y was the reference map and X=NDVI was the predictor. The FFT regression method applies the "Wavelet Based", "Pixel Block" and "Image Rotation" transforms to the reference and remote images, prior to the Fast - Fourier Transform (FFT) Regression method with the "Phase Lock" option. A complex domain based map Yfft is derived by least squares minimization between the amplitude matrices of X and Y, via the 2D FFT. For one time predictions, the phase matrix of Y is combined with the amplitude matrix ofYfft, whereby an improved predicted map Yplock is formed. Usually, the residuals of Y plock versus Y are about half of the values of Yfft versus Y. For long term predictions, the phase matrix of a "field mask" is combined with the amplitude matrices of the reference image Y and the predicted image Yfft. The field mask is a binary image of a pre-selected region of interest in X and Y. The resultant maps Ypref and Ypred aremodified versions of Y and Yfft respectively. The residuals of Ypred versus Ypref are even lower than the residuals of Yplock versus Y. The maps, Ypref and Ypred represent a close consensus of two independent imaging methods which "view" the same target. In the last two years of the project our remote sensing capability was expanded by addition of a CASI II airborne hyperspectral imaging system and an ASD hyperspectral radiometer. Unfortunately, the cross-noice and poor repeatability problem we had in multi-spectral imaging was exasperated in hyperspectral imaging. We have been able to overcome this problem by over-flying each field twice in rapid succession and developing the Repeatability Index (RI). The RI quantifies the repeatability of each spectral band in the hyperspectral image cube. Thereby, it is possible to select the bands of higher repeatability for inclusion in the prediction model while bands of low repeatability are excluded. Further segregation of high and low repeatability bands takes place in the prediction model algorithm, which is based on a combination of a "Genetic Algorithm" and Partial Least Squares", (PLS-GA). In summary, modus operandi was developed, for deriving important plant growth attribute maps (yield, leaf nitrate, biomass and sugar percent in beets), from remote sensing imagery, with sufficient accuracy for precision cropping applications. This achievement is remarkable, given the inherently high cross-noice between the reference and remote imagery as well as the highly non-repeatable nature of remote sensing systems. The above methodologies may be readily adopted by commercial companies, which specialize in proving remotely sensed data to farmers.