WorldWideScience

Sample records for automatic train supervision

  1. Learning slip behavior using automatic mechanical supervision

    OpenAIRE

    Angelova, Anelia; Matthies, Larry; Helmick, Daniel; Perona, Pietro

    2007-01-01

    We address the problem of learning terrain traversability properties from visual input, using automatic mechanical supervision collected from sensors onboard an autonomous vehicle. We present a novel probabilistic framework in which the visual information and the mechanical supervision interact to learn particular terrain types and their properties. The proposed method is applied to learning of rover slippage from visual information in a completely auto...

  2. Advanced Music Therapy Supervision Training

    DEFF Research Database (Denmark)

    Pedersen, Inge Nygaard

    2009-01-01

    supervision training excerpts live in the workshop will be offered. The workshop will include demonstrating a variety of supervision methods and techniques used in A) post graduate music therapy training programs b) a variety of work contexts such as psychiatry and somatic music psychotherapy. The workshop...

  3. Weakly supervised training of a sign language recognition system using multiple instance learning density matrices.

    Science.gov (United States)

    Kelly, Daniel; Mc Donald, John; Markham, Charles

    2011-04-01

    A system for automatically training and spotting signs from continuous sign language sentences is presented. We propose a novel multiple instance learning density matrix algorithm which automatically extracts isolated signs from full sentences using the weak and noisy supervision of text translations. The automatically extracted isolated samples are then utilized to train our spatiotemporal gesture and hand posture classifiers. The experiments were carried out to evaluate the performance of the automatic sign extraction, hand posture classification, and spatiotemporal gesture spotting systems. We then carry out a full evaluation of our overall sign spotting system which was automatically trained on 30 different signs. PMID:20875974

  4. 30 CFR 250.1616 - Supervision, surveillance, and training.

    Science.gov (United States)

    2010-07-01

    ... 30 Mineral Resources 2 2010-07-01 2010-07-01 false Supervision, surveillance, and training. 250.1616 Section 250.1616 Mineral Resources MINERALS MANAGEMENT SERVICE, DEPARTMENT OF THE INTERIOR... Supervision, surveillance, and training. (a) The lessee shall provide onsite supervision of...

  5. Testing Group Supervision in Fieldwork Training for Social Work Students

    Science.gov (United States)

    Zeira, Anat; Schiff, Miriam

    2010-01-01

    This study monitors group supervision for students' field training in a Bachelor's Degree in Social Work (BSW) program and compares it with the experience of the students receiving the traditional individual supervision. The experimental group supervision model is implemented in two consecutive years. Students' experiences are compared at three…

  6. A Grounded Theory Study of Supervision of Preservice Consultation Training

    Science.gov (United States)

    Newman, Daniel S.

    2012-01-01

    The purpose of this study was to explore a university-based supervision process for consultants-in-training (CITs) engaged in a preservice level consultation course with applied practicum experience. The study was approached from a constructivist worldview using a grounded theory methodology. Data consisted of supervision session transcripts,…

  7. Strengthen the Supervision over Pharmaceuticals via Modern Automatic Identification

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Fake pharmaceuticals inflicts severely upon people(?)~-s health through its circulation in markets.To strengthen the supervision of the pharmaceutical market,China is improving and is perfecting its national coding system in the field of pharmaceuticals. Bar-code tag and IC tag are available to the coding system.This paper summarizes the significance of IC tag to the supervision of pharmaceuticals and gives us a strategically general prospect of pharmaceutical supervision.

  8. Measuring the Effectiveness of a Genetic Counseling Supervision Training Conference.

    Science.gov (United States)

    Atzinger, Carrie L; He, Hua; Wusik, Katie

    2016-08-01

    Genetic counselors who receive formal training report increased confidence and competence in their supervisory roles. The effectiveness of specific formal supervision training has not been assessed previously. A day-long GC supervision conference was designed based on published supervision competencies and was attended by 37 genetic counselors. Linear Mixed Model and post-hoc paired t-test was used to compare Psychotherapy Supervisor Development Scale (PSDS) scores among/between individuals pre and post conference. Generalized Estimating Equation (GEE) model and post-hoc McNemar's test was used to determine if the conference had an effect on GC supervision competencies. PSDS scores were significantly increased 1 week (p competencies, attendees were more likely to agree they were able to perform them after the conference than before. These effects remained significant 6 months later. For the three remaining competencies, the majority of supervisors agreed they could perform these before the conference; therefore, no change was found. This exploratory study showed this conference increased the perceived confidence and competence of the supervisors who attended and increased their self-reported ability to perform certain supervision competencies. While still preliminary, this supports the idea that a one day conference on supervision has the potential to impact supervisor development.

  9. Supervision in neuropsychological assessment: a survey of training, practices, and perspectives of supervisors.

    Science.gov (United States)

    Shultz, Laura A Schwent; Pedersen, Heather A; Roper, Brad L; Rey-Casserly, Celiane

    2014-01-01

    Within the psychology supervision literature, most theoretical models and practices pertain to general clinical or counseling psychology. Supervision specific to clinical neuropsychology has garnered little attention. This survey study explores supervision training, practices, and perspectives of neuropsychology supervisors. Practicing neuropsychologists were invited to participate in an online survey via listservs and email lists. Of 451 respondents, 382 provided supervision to students, interns, and/or fellows in settings such as VA medical centers (37%), university medical centers (35%), and private practice (15%). Most supervisors (84%) reported supervision was discussed in graduate school "minimally" or "not at all." Although 67% completed informal didactics or received continuing education in supervision, only 27% reported receiving training specific to neuropsychology supervision. Notably, only 39% were satisfied with their training in providing supervision and 77% indicated they would likely participate in training in providing supervision, if available at professional conferences. Results indicate that clinical neuropsychology as a specialty has paid scant attention to developing supervision models and explicit training in supervision skills. We recommend that the specialty develop models of supervision for neuropsychological practice, supervision standards and competencies, training methods in provision of supervision, and benchmark measures for supervision competencies. PMID:25116655

  10. Supervision in neuropsychological assessment: a survey of training, practices, and perspectives of supervisors.

    Science.gov (United States)

    Shultz, Laura A Schwent; Pedersen, Heather A; Roper, Brad L; Rey-Casserly, Celiane

    2014-01-01

    Within the psychology supervision literature, most theoretical models and practices pertain to general clinical or counseling psychology. Supervision specific to clinical neuropsychology has garnered little attention. This survey study explores supervision training, practices, and perspectives of neuropsychology supervisors. Practicing neuropsychologists were invited to participate in an online survey via listservs and email lists. Of 451 respondents, 382 provided supervision to students, interns, and/or fellows in settings such as VA medical centers (37%), university medical centers (35%), and private practice (15%). Most supervisors (84%) reported supervision was discussed in graduate school "minimally" or "not at all." Although 67% completed informal didactics or received continuing education in supervision, only 27% reported receiving training specific to neuropsychology supervision. Notably, only 39% were satisfied with their training in providing supervision and 77% indicated they would likely participate in training in providing supervision, if available at professional conferences. Results indicate that clinical neuropsychology as a specialty has paid scant attention to developing supervision models and explicit training in supervision skills. We recommend that the specialty develop models of supervision for neuropsychological practice, supervision standards and competencies, training methods in provision of supervision, and benchmark measures for supervision competencies.

  11. Safety and Efficacy of Supervised Strength Training Adopted in Pregnancy

    Science.gov (United States)

    O’Connor, Patrick J.; Poudevigne, Melanie S.; Cress, M. Elaine; Motl, Robert W.; Clapp, James F.

    2014-01-01

    Objective Describe safety and efficacy of a supervised, low-to-moderate intensity strength training program adopted during pregnancy among women at increased risk for back pain. Methods 32 women adopted strength training twice per week for 12 weeks. Data on musculoskeletal injuries, symptoms, blood pressure, and the absolute external load used for 5 of 6 exercises were obtained during each session. A submaximal lumbar extension endurance exercise test was performed at weeks 5, 10, and 13. Results The mean (± SD) exercise session attendance rate was 80.5% (± 11.3%). No musculoskeletal injuries occurred. Potentially adverse symptoms (eg, dizziness) were infrequent (2.1% of sessions). Repeated-measures ANOVA showed large increases in the external load across 12 weeks (all P values < .001) and the percentage increases in external load from weeks 1 to 12 were 36% for leg press, 39% for leg curl, 39% for lat pull down, 41% for lumbar extension and 56% for leg extension. Training was associated with a 14% increase in lumbar endurance. Blood pressure was unchanged following acute exercise sessions and after 12 weeks of exercise training. Conclusion The adoption of a supervised, low-to-moderate intensity strength training program during pregnancy can be safe and efficacious for pregnant women. PMID:21487130

  12. Automatic Training of Rat Cyborgs for Navigation

    OpenAIRE

    Yu, Yipeng; Wu, Zhaohui; Xu, Kedi; Gong, Yongyue; Zheng, Nenggan; Zheng, Xiaoxiang; Pan, Gang

    2016-01-01

    A rat cyborg system refers to a biological rat implanted with microelectrodes in its brain, via which the outer electrical stimuli can be delivered into the brain in vivo to control its behaviors. Rat cyborgs have various applications in emergency, such as search and rescue in disasters. Prior to a rat cyborg becoming controllable, a lot of effort is required to train it to adapt to the electrical stimuli. In this paper, we build a vision-based automatic training system for rat cyborgs to rep...

  13. Automatic Training of Rat Cyborgs for Navigation

    Science.gov (United States)

    Yu, Yipeng; Wu, Zhaohui; Xu, Kedi; Gong, Yongyue; Zheng, Nenggan; Zheng, Xiaoxiang; Pan, Gang

    2016-01-01

    A rat cyborg system refers to a biological rat implanted with microelectrodes in its brain, via which the outer electrical stimuli can be delivered into the brain in vivo to control its behaviors. Rat cyborgs have various applications in emergency, such as search and rescue in disasters. Prior to a rat cyborg becoming controllable, a lot of effort is required to train it to adapt to the electrical stimuli. In this paper, we build a vision-based automatic training system for rat cyborgs to replace the time-consuming manual training procedure. A hierarchical framework is proposed to facilitate the colearning between rats and machines. In the framework, the behavioral states of a rat cyborg are visually sensed by a camera, a parameterized state machine is employed to model the training action transitions triggered by rat's behavioral states, and an adaptive adjustment policy is developed to adaptively adjust the stimulation intensity. The experimental results of three rat cyborgs prove the effectiveness of our system. To the best of our knowledge, this study is the first to tackle automatic training of animal cyborgs.

  14. A Device for Automatically Measuring and Supervising the Critical Care Patient’S Urine Output

    Directory of Open Access Journals (Sweden)

    Roemi Fernández

    2010-01-01

    Full Text Available Critical care units are equipped with commercial monitoring devices capable of sensing patients’ physiological parameters and supervising the achievement of the established therapeutic goals. This avoids human errors in this task and considerably decreases the workload of the healthcare staff. However, at present there still is a very relevant physiological parameter that is measured and supervised manually by the critical care units’ healthcare staff: urine output. This paper presents a patent-pending device capable of automatically recording and supervising the urine output of a critical care patient. A high precision scale is used to measure the weight of a commercial urine meter. On the scale’s pan there is a support frame made up of Bosch profiles that isolates the scale from force transmission from the patient’s bed, and guarantees that the urine flows properly through the urine meter input tube. The scale’s readings are sent to a PC via Bluetooth where an application supervises the achievement of the therapeutic goals. The device is currently undergoing tests at a research unit associated with the University Hospital of Getafe in Spain.

  15. Effective Yard Supervision: From Needs Assessment to Customized Training

    Science.gov (United States)

    Sharkey, Jill D.; Hunnicutt, Kayleigh L.; Mayworm, Ashley M.; Schiedel, K. Chris; Calcagnotto, Leandro

    2014-01-01

    Most educational scholars agree that appropriate supervision of children is critical for positive youth development. Supervision is especially important during situations where children have a large degree of freedom and unstructured interaction, such as during recess. Despite the apparent importance of supervision of children at recess, there is…

  16. Does training frequency and supervision affect compliance, performance and muscular health?

    DEFF Research Database (Denmark)

    Dalager, Tina; Bredahl, Thomas G V; Pedersen, Mogens Theisen;

    2015-01-01

    , behavior and work performance. In total, 573 office workers were cluster-randomized to: 1WS: one 60-min supervised session/week, 3WS: three 20-min supervised sessions/week, 9WS: nine 7-min supervised sessions/week, 3MS: three 20-min sessions/week with minimal supervision, or REF: a reference group without...... training. Outcomes were diary-based compliance, total training volume, muscle performance and questionnaire-based health, behavior and work performance. Comparisons were made among the WS training groups and between 3WS and 3MS. If no difference, training groups were collapsed (TG) and compared with REF....... Results demonstrated similar degrees of compliance, mean(range) of 39(33-44)%, and total training volume, 13.266(11.977-15.096)kg. Musculoskeletal pain in neck and shoulders were reduced with approx. 50% in TG, which was significant compared with REF. Only the training groups improved significantly...

  17. Effects of second language usage on genetic counseling training and supervision.

    Science.gov (United States)

    Vanneste, Rachel; Chiu, Sui Mei; Russell, Laura; Fitzpatrick, Jennifer

    2013-02-01

    We conducted an exploratory study of the experiences of genetic counselors who have either trained or supervised in a second language to assess the relevance of this issue to genetic counseling training and supervision. Two hundred-thirty NSGC members, CAGC members and genetic counseling students completed the online questionnaire. Many of the respondents reported that training and supervision differed when another language was involved. Supervisors reported difficulty in assessing students' counseling skills and discomfort with an incomplete understanding of session content. Students described a greater focus on vocabulary at the expense of psychosocial dimensions. Despite this, most felt that using another language enhanced their training experience. As such, training programs might consider increasing support to these learners and supervisors by explicitly acknowledging the challenges they face, providing students with language tools to aid in their acquisition of basic skills and providing supervisors with new methods for assessing student counseling skills when using other languages.

  18. Sprint conditioning of junior soccer players: effects of training intensity and technique supervision.

    Science.gov (United States)

    Haugen, Thomas; Tønnessen, Espen; Øksenholt, Øyvind; Haugen, Fredrik Lie; Paulsen, Gøran; Enoksen, Eystein; Seiler, Stephen

    2015-01-01

    The aims of the present study were to compare the effects of 1) training at 90 and 100% sprint velocity and 2) supervised versus unsupervised sprint training on soccer-specific physical performance in junior soccer players. Young, male soccer players (17 ± 1 yr, 71 ± 10 kg, 180 ± 6 cm) were randomly assigned to four different treatment conditions over a 7-week intervention period. A control group (CON, n = 9) completed regular soccer training according to their teams' original training plans. Three training groups performed a weekly repeated-sprint training session in addition to their regular soccer training sessions performed at A) 100% intensity without supervision (100UNSUP, n = 13), B) 90% of maximal sprint velocity with supervision (90SUP, n = 10) or C) 90% of maximal sprint velocity without supervision (90UNSUP, n=13). Repetitions x distance for the sprint-training sessions were 15 x 20 m for 100UNSUP and 30 x 20 m for 90SUP and 90UNSUP. Single-sprint performance (best time from 15 x 20 m sprints), repeated-sprint performance (mean time over 15 x 20 m sprints), countermovement jump and Yo-Yo Intermittent Recovery Level 1 (Yo-Yo IR1) were assessed during pre-training and post-training tests. No significant differences in performance outcomes were observed across groups. 90SUP improved Yo-Yo IR1 by a moderate margin compared to controls, while all other effect magnitudes were trivial or small. In conclusion, neither weekly sprint training at 90 or 100% velocity, nor supervised sprint training enhanced soccer-specific physical performance in junior soccer players.

  19. The effects of supervised Slack line Training on postural balance in judoists

    DEFF Research Database (Denmark)

    Santos, L.; Fernandez-Rio, J.; Fernandez-Garcia, B.;

    2014-01-01

    followed the same judo training program during the 4 weeks of the study, the EG completed an additional supervised Slackline training (2 sessions per week of 60 min each one, for 4 weeks). Several key postural control parameters were assessed with a footscan baropodometric platform (sway length, ellipse...

  20. Training Level, Acculturation, Role Ambiguity, and Multicultural Discussions in Training and Supervising International Counseling Students in the United States

    Science.gov (United States)

    Ng, Kok-Mun; Smith, Shannon D.

    2012-01-01

    This research partially replicated Nilsson and Anderson's "Professional Psychology: Research and Practice" (2004) study on training and supervising international students. It investigated the relationships among international counseling students' training level, acculturation, supervisory working alliance (SWA), counseling self-efficacy (COSE),…

  1. A Novel Semi-Supervised Electronic Nose Learning Technique: M-Training

    Directory of Open Access Journals (Sweden)

    Pengfei Jia

    2016-03-01

    Full Text Available When an electronic nose (E-nose is used to distinguish different kinds of gases, the label information of the target gas could be lost due to some fault of the operators or some other reason, although this is not expected. Another fact is that the cost of getting the labeled samples is usually higher than for unlabeled ones. In most cases, the classification accuracy of an E-nose trained using labeled samples is higher than that of the E-nose trained by unlabeled ones, so gases without label information should not be used to train an E-nose, however, this wastes resources and can even delay the progress of research. In this work a novel multi-class semi-supervised learning technique called M-training is proposed to train E-noses with both labeled and unlabeled samples. We employ M-training to train the E-nose which is used to distinguish three indoor pollutant gases (benzene, toluene and formaldehyde. Data processing results prove that the classification accuracy of E-nose trained by semi-supervised techniques (tri-training and M-training is higher than that of an E-nose trained only with labeled samples, and the performance of M-training is better than that of tri-training because more base classifiers can be employed by M-training.

  2. On-line Supervised Adaptive Training Using Radial Basis Function Networks.

    Science.gov (United States)

    Luo, Wan; Billings, Steve A.; Fung, Chi F.

    1996-12-01

    A new recursive supervised training algorithm is derived for the radial basis neural network architecture. The new algorithm combines the procedures of on-line candidate regressor selection with the conventional Givens QR based recursive parameter estimator to provide efficient adaptive supervised network training. A new concise on-line correlation based performance monitoring scheme is also introduced as an auxiliary device to detect structural changes in temporal data processing applications. Practical and simulated examples are included to demonstrate the effectiveness of the new procedures. Copyright 1996 Elsevier Science Ltd.

  3. Artificial feedback for remotely supervised training of motor skills

    NARCIS (Netherlands)

    Dijk, van Henk; Hermens, Hermie J.

    2010-01-01

    Electromyographic (EMG) biofeedback can be used to train motor functions at a distance, which makes therapy at home a possibility. To enable patients to train properly without the presence of a therapist, artificial feedback is considered essential. We studied the combined effect of age and timing o

  4. Changes in Nonprofessional Mental Health Workers' Response Preferences and Attitudes As A Function of Training and Supervised Field Experience

    Science.gov (United States)

    Dorr, Darwin; And Others

    1973-01-01

    Nonprofessional mental health workers in a program for early detection and prevention of school maladaptation in children were compared to similar controls on changes in attitude and clinical response style after 12 didactic training sessions and supervised field experience. Some combination of training, experience, and supervision increased aide…

  5. Supervised Learning of Logical Operations in Layered Spiking Neural Networks with Spike Train Encoding

    CERN Document Server

    Grüning, André

    2011-01-01

    Few algorithms for supervised training of spiking neural networks exist that can deal with patterns of multiple spikes, and their computational properties are largely unexplored. We demonstrate in a set of simulations that the ReSuMe learning algorithm can be successfully applied to layered neural networks. Input and output patterns are encoded as spike trains of multiple precisely timed spikes, and the network learns to transform the input trains into target output trains. This is done by combining the ReSuMe learning algorithm with multiplicative scaling of the connections of downstream neurons. We show in particular that layered networks with one hidden layer can learn the basic logical operations, including Exclusive-Or, while networks without hidden layer cannot, mirroring an analogous result for layered networks of rate neurons. While supervised learning in spiking neural networks is not yet fit for technical purposes, exploring computational properties of spiking neural networks advances our understand...

  6. Semi-supervised adaptation in ssvep-based brain-computer interface using tri-training

    DEFF Research Database (Denmark)

    Bender, Thomas; Kjaer, Troels W.; Thomsen, Carsten E.;

    2013-01-01

    This paper presents a novel and computationally simple tri-training based semi-supervised steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI). It is implemented with autocorrelation-based features and a Naïve-Bayes classifier (NBC). The system uses nine characters...

  7. International Doctoral Students in Counselor Education: Coping Strategies in Supervision Training

    Science.gov (United States)

    Woo, Hongryun; Jang, Yoo Jin; Henfield, Malik S.

    2015-01-01

    This study explores 8 international doctoral students' perceptions of coping strategies used in supervision training in counselor education programs. Using human agency as a conceptual framework, the authors found 3 categories: (a) personal and professional self-directed strategies as personal agency, (b) support and care from mentors as proxy…

  8. Cultivating Self-Awareness in Counselors-in-Training through Group Supervision

    Science.gov (United States)

    Del Moro, Ronald R.

    2012-01-01

    This study investigated processes, strategies, and frameworks that took place during group supervision classes, which best cultivate the self-awareness of Mental Health and Marriage and Family Counselors-in-Training (CITs). It was designed to explore factors across multiple theoretical models, which contributed to the cultivation of self-awareness…

  9. The Relationship between Athletic Training Student Critical Thinking Skills and Clinical Instructor Supervision: A Pilot Study

    Science.gov (United States)

    Kabay, Michele R.

    2013-01-01

    The purpose of this study was to 1) assess the critical thinking skill level of the athletic training student at onset and end of the clinical education experience 2) to examine the influence of the students' critical thinking skills and the CIs' supervision responses to the changes in the students' critical thinking skills and 3) to compare the…

  10. An Integrative Spiritual Development Model of Supervision for Substance Abuse Counselors-in-Training

    Science.gov (United States)

    Weiss Ogden, Karen R.; Sias, Shari M.

    2011-01-01

    Substance abuse counselors who address clients' spiritual development may provide more comprehensive counseling. This article presents an integrative supervision model designed to promote the spiritual development of substance abuse counselors-in-training, reviews the model, and discusses the implications for counselor education.

  11. Effect of training supervision on effectiveness of strength training for reducing neck/shoulder pain and headache in office workers

    DEFF Research Database (Denmark)

    Gram, Bibi; Andersen, Christoffer; Zebis, Mette Kreutzfeldt;

    2014-01-01

    Objective. To investigate the effect of workplace neck/shoulder strength training with and without regular supervision on neck/shoulder pain and headache among office workers. Method. A 20-week cluster randomized controlled trial among 351 office workers was randomized into three groups: two trai...

  12. Unsupervised Supervised Learning II: Training Margin Based Classifiers without Labels

    CERN Document Server

    Donmez, Pinar; Lebanon, Guy

    2010-01-01

    Many popular linear classifiers, such as logistic regression, boosting, or SVM, are trained by optimizing a margin-based risk function. Traditionally, these risk functions are computed based on a labeled dataset. We develop a novel technique for estimating such risks using only unlabeled data and p(y). We prove that the technique is consistent for high-dimensional linear classifiers and demonstrate it on synthetic and real-world data. In particular, we show how the estimate is used for evaluating classifiers in transfer learning, and for training classifiers with no labeled data whatsoever.

  13. A Device for Automatically Measuring and Supervising the Critical Care Patient’S Urine Output

    OpenAIRE

    Roemi Fernández; Francisco Palacios; Teodor Akinfiev; Abraham Otero

    2010-01-01

    Critical care units are equipped with commercial monitoring devices capable of sensing patients’ physiological parameters and supervising the achievement of the established therapeutic goals. This avoids human errors in this task and considerably decreases the workload of the healthcare staff. However, at present there still is a very relevant physiological parameter that is measured and supervised manually by the critical care units’ healthcare staff: urine output. This paper presents a pate...

  14. Role-playing as a tool for hiring, training, and supervising peer providers.

    Science.gov (United States)

    Oh, Hans; Solomon, Phyllis

    2014-04-01

    This article presents role-playing as an activity that can help managers in hiring, evaluating, and supervising peer providers. With the increasing employment of peers in mental health care systems, supervisors have had to face dilemmas related to peer employment more frequently and with little guidance and direction. In response, this article presents role-playing as a practical tool to hire, train, and supervise peer providers. The effectiveness of role-playing depends largely on context and execution, and so this article also offers direction on how to maximize the utility and benefits of role-playing to enhance the performance of peer providers.

  15. Reflections on the supervised relationship and interaction in nursing clinical training

    Directory of Open Access Journals (Sweden)

    Inês Alves da Rocha e Silva Rocha

    2013-05-01

    Full Text Available This reflection fits into the area of Clinical Supervision in Nursing focusing on relationships that the student develops during clinical training. It seems that in clinical training the student not only learns but also consolidates verbal, procedural and attitudinal contents. The relationship established with peers, teachers and tutors will contribute to their professional identity. It is underlined the importance of the contribution of clinical supervision for the development of a reflective thinking in students in Portugal, as highlighted here, which influences the changes in nursing practices, as well as ensuring the quality and safety of the care provided. The characteristics that the tutor must have to improve the development of the students are also explained as well as the possible solutions for the existing limitations of clinical training contexts.

  16. The impact of CBT training and supervision on burnout, confidence and negative beliefs in a staff group working with homeless people

    OpenAIRE

    Maguire, N.; Grellier, B.; Clayton, K.

    2012-01-01

    This study reports the outcomes of providing training and regular clinical supervision in basic cognitive-behavioural formulation and intervention techniques for frontline homelessness workers. Results indicated that confidence increased and negative beliefs decreased at the end of the training, and continued to decrease as a result of the supervision package. Burnout significantly decreased after the training and supervision package.

  17. Developing a supervised training algorithm for limited precision feed-forward spiking neural networks

    CERN Document Server

    Stromatias, Evangelos

    2011-01-01

    Spiking neural networks have been referred to as the third generation of artificial neural networks where the information is coded as time of the spikes. There are a number of different spiking neuron models available and they are categorized based on their level of abstraction. In addition, there are two known learning methods, unsupervised and supervised learning. This thesis focuses on supervised learning where a new algorithm is proposed, based on genetic algorithms. The proposed algorithm is able to train both synaptic weights and delays and also allow each neuron to emit multiple spikes thus taking full advantage of the spatial-temporal coding power of the spiking neurons. In addition, limited synaptic precision is applied; only six bits are used to describe and train a synapse, three bits for the weights and three bits for the delays. Two limited precision schemes are investigated. The proposed algorithm is tested on the XOR classification problem where it produces better results for even smaller netwo...

  18. Consistently Trained Artificial Neural Network for Automatic Ship Berthing Control

    Directory of Open Access Journals (Sweden)

    Y.A. Ahmed

    2015-09-01

    Full Text Available In this paper, consistently trained Artificial Neural Network controller for automatic ship berthing is discussed. Minimum time course changing manoeuvre is utilised to ensure such consistency and a new concept named ‘virtual window’ is introduced. Such consistent teaching data are then used to train two separate multi-layered feed forward neural networks for command rudder and propeller revolution output. After proper training, several known and unknown conditions are tested to judge the effectiveness of the proposed controller using Monte Carlo simulations. After getting acceptable percentages of success, the trained networks are implemented for the free running experiment system to judge the network’s real time response for Esso Osaka 3-m model ship. The network’s behaviour during such experiments is also investigated for possible effect of initial conditions as well as wind disturbances. Moreover, since the final goal point of the proposed controller is set at some distance from the actual pier to ensure safety, therefore a study on automatic tug assistance is also discussed for the final alignment of the ship with actual pier.

  19. Safety in High School Supervised Agricultural Experiences: Teachers' Training and Students' Injury Awareness.

    Science.gov (United States)

    Pate, M L; Lawver, R G; Sorensen, T J

    2016-01-01

    This research study sought to gather evidence of school-based agriculture teachers' hazard perceptions, safety practices, training experiences, and awareness of student injuries related to supervised agricultural experience (SAE) programs. Teachers agreed that students should follow safety guidelines developed by the National Children's Center for Rural and Agricultural Safety and Health during SAE work. Approximately 66% (f = 153) of teachers reported having general training in first aid, CPR, and AED. Twenty participants (8.6%) indicated having no safety certifications or training. Abrasions, lacerations, bites/stings, and burns accounted for a majority of the student SAE-related injuries that were reported. There were 82 participants (35.5%) who stated that no injuries had been reported or they were not aware of any injuries that occurred. The majority of teachers (66%) had received some form offirst aid or first response training, but fewer teachers had received safety training for ATVs (f = 25, 10.8%), tractors (f = 48, 20.7%), and livestock (f = 39, 16.8%). Results indicated a disparity between required safe work habits and the types of hazardous tasks students should be allowed to complete alone while participating in SAE activities. It appears most responding teachers in this study agreed to allow students to operate equipment and machinery alone. Recommendations for teachers include attending professional development training specific to SAE safety and keeping records of any risk assessments conducted during SAE supervision. Further development of best practices for SAE supervision and safety are needed to assist agricultural education professionals in protecting and shaping our future leaders in agriculture.

  20. AUTOMATIC RETINA EXUDATES SEGMENTATION WITHOUT A MANUALLY LABELLED TRAINING SET

    Energy Technology Data Exchange (ETDEWEB)

    Giancardo, Luca [ORNL; Meriaudeau, Fabrice [ORNL; Karnowski, Thomas Paul [ORNL; Li, Yaquin [University of Tennessee, Knoxville (UTK); Tobin Jr, Kenneth William [ORNL; Chaum, Edward [University of Tennessee, Knoxville (UTK)

    2011-01-01

    Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy which can be assessed by detecting exudates (a type of bright lesion) in fundus images. In this work, two new methods for the detection of exudates are presented which do not use a supervised learning step and therefore do not require ground-truthed lesion training sets which are time consuming to create, difficult to obtain, and prone to human error. We introduce a new dataset of fundus images from various ethnic groups and levels of DME which we have made publicly available. We evaluate our algorithm with this dataset and compare our results with two recent exudate segmentation algorithms. In all of our tests, our algorithms perform better or comparable with an order of magnitude reduction in computational time.

  1. Whole body vibration: unsupervised training or combined with a supervised multi-purpose exercise for fitness?

    Science.gov (United States)

    Emerenziani, Gian Pietro; Meucci, Marco; Gallotta, Maria Chiara; Buzzachera, Cosme Franklim; Guidetti, Laura; Baldari, Carlo

    2014-01-01

    The aim of the study was to compare the effect of an unsupervised whole body vibration (WBV) training and two different supervised multi-purpose exercise programmes, with and without WBV, on body composition, functional fitness and self-reported well-being in middle-aged adults. Fifty-four healthy participants (age 48.6 ± 6.7 years) were randomly assigned to a vibration group (VG), a multi-purpose exercise group (MG) and a multi-purpose exercise with vibration group (VMG) and trained 3 days a week for 4 months. VG performed a standardised unsupervised WBV protocol, MG a supervised multi-purpose exercise and VMG a multi-purpose exercise including vibration. After training, drop out was significantly higher in VG group (P = 0.016) when compared to VMG group. In both MG and VMG, body composition, sit-up, push-up, sit and reach, agility test, hopping test and self-reported general health significantly improved (P multi-purpose exercise training.

  2. Training the Millennial learner through experiential evolutionary scaffolding: implications for clinical supervision in graduate education programs.

    Science.gov (United States)

    Venne, Vickie L; Coleman, Darrell

    2010-12-01

    They are the Millennials--Generation Y. Over the next few decades, they will be entering genetic counseling graduate training programs and the workforce. As a group, they are unlike previous youth generations in many ways, including the way they learn. Therefore, genetic counselors who teach and supervise need to understand the Millennials and explore new ways of teaching to ensure that the next cohort of genetic counselors has both skills and knowledge to represent our profession well. This paper will summarize the distinguishing traits of the Millennial generation as well as authentic learning and evolutionary scaffolding theories of learning that can enhance teaching and supervision. We will then use specific aspects of case preparation during clinical rotations to demonstrate how incorporating authentic learning theory into evolutionary scaffolding results in experiential evolutionary scaffolding, a method that potentially offers a more effective approach when teaching Millennials. We conclude with suggestions for future research. PMID:20844940

  3. Supervised progressive cross-continuum strength training compared with usual care in older medical patients

    DEFF Research Database (Denmark)

    Pedersen, Mette Merete; Petersen, Janne; Beyer, Nina;

    2016-01-01

    Background: Hospitalization in older adults is characterized by physical inactivity and a risk of losing function and independence. Systematic strength training can improve muscle strength and functional performance in older adults. Few studies have examined the effect of a program initiated during...... hospitalization and continued after discharge. We conducted a feasibility study prior to this trial and found a progression model for loaded sit-to-stands feasible in older medical patients. This study aims to determine whether a simple supervised strength training program for the lower extremities (based...... on the model), combined with post-training protein supplementation initiated during hospitalization and continued at home for 4 weeks, is superior to usual care on change in mobility 4 weeks after discharge in older medical patients. Methods: Eighty older medical patients (65 years or older) acutely admitted...

  4. Extended apprenticeship learning in doctoral training and supervision - moving beyond 'cookbook recipes'

    DEFF Research Database (Denmark)

    Tanggaard, Lene; Wegener, Charlotte

    An apprenticeship perspective on learning in academia sheds light on the potential for mutual learning and production, and also reveals the diverse range of learning resources beyond the formal novice-–expert relationship. Although apprenticeship is a well-known concept in educational research......, in this case apprenticeship offers an innovative perspective on future practice and research in academia allowing more students access to high high-quality research training and giving supervisors a chance to combine their own research with their supervision obligations....

  5. Supervised Autonomy

    Science.gov (United States)

    Sexton, Patrick; Levy, Linda S.; Willeford, K. Sean; Barnum, Mary G.; Gardner, Greg; Guyer, M. Susan; Fincher, A. Louise

    2009-01-01

    Objective: The primary objective of this paper is to present the evolution, purpose, and definition of direct supervision in the athletic training clinical education. The secondary objective is to briefly present the factors that may negatively affect the quality of direct supervision to allow remediation and provide higher quality clinical…

  6. Semi-automatic supervised classification of minerals from x-ray mapping images

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg; Flesche, Harald; Larsen, Rasmus;

    1998-01-01

    is obtained by excluding observations that have high Mahalanobis distances to the training class mean. Spatial closeness is obtained by requiring connectivity. The marginal effects of changes in the parameters that are input to the seed growing algorithm are evaluated. Initially, the seed is expanded...... to a small area in order to allow for the estimation of a variance-covariance matrix. This expansion is controlled by upper limits for the spatial and Euclidean spectral distances from the seed point. Second, after this initial expansion the growing of the training set is controlled by an upper limit...

  7. Training and supervision of residential staff in Community-based Treatment Facilities

    Directory of Open Access Journals (Sweden)

    Axer, Andrzej

    2013-09-01

    Full Text Available Oregon’s Public Mental Health System employs a large number of unlicensed personnel with limited formal mental health training, both in state hospitals and in residential treatment programs. These mentalhealth paraprofessionals often have the most frequent and direct contact with seriously mentally ill individuals, and therefore have significant impact on their lives. The authors describe organization as well as clinical and administrative supervision of a mostly paraprofessional team working with severely and persistently mentally ill (SPMI criminal offenders. The purpose of this article is to delineate the most important factors allowing for effective and safe utilization of the fairy unsophisticated personnel in the community based-secure treatment facility for individuals under criminal commitment, conditionally released from Oregon State Hospital.

  8. Automatic Training Site Selection for Agricultural Crop Classification: a Case Study on Karacabey Plain, Turkey

    Science.gov (United States)

    Ozdarici Ok, A.; Akyurek, Z.

    2011-09-01

    This study implements a traditional supervised classification method to an optical image composed of agricultural crops by means of a unique way, selecting the training samples automatically. Panchromatic (1m) and multispectral (4m) Kompsat-2 images (July 2008) of Karacabey Plain (~100km2), located in Marmara region, are used to evaluate the proposed approach. Due to the characteristic of rich, loamy soils combined with reasonable weather conditions, the Karacabey Plain is one of the most valuable agricultural regions of Turkey. Analyses start with applying an image fusion algorithm on the panchromatic and multispectral image. As a result of this process, 1m spatial resolution colour image is produced. In the next step, the four-band fused (1m) image and multispectral (4m) image are orthorectified. Next, the fused image (1m) is segmented using a popular segmentation method, Mean- Shift. The Mean-Shift is originally a method based on kernel density estimation and it shifts each pixel to the mode of clusters. In the segmentation procedure, three parameters must be defined: (i) spatial domain (hs), (ii) range domain (hr), and (iii) minimum region (MR). In this study, in total, 176 parameter combinations (hs, hr, and MR) are tested on a small part of the area (~10km2) to find an optimum segmentation result, and a final parameter combination (hs=18, hr=20, and MR=1000) is determined after evaluating multiple goodness measures. The final segmentation output is then utilized to the classification framework. The classification operation is applied on the four-band multispectral image (4m) to minimize the mixed pixel effect. Before the image classification, each segment is overlaid with the bands of the image fused, and several descriptive statistics of each segment are computed for each band. To select the potential homogeneous regions that are eligible for the selection of training samples, a user-defined threshold is applied. After finding those potential regions, the

  9. Nutrition Risk in Home-Bound Older Adults: Using Dietician-Trained and Supervised Nutrition Volunteers for Screening and Intervention

    Science.gov (United States)

    Laforest, Sophie; Goldin, Benita; Nour, Kareen; Roy, Marie-Andree; Payette, Helene

    2007-01-01

    Nutrition screening and early intervention in home-bound older adults are key to preventing unfavourable health outcomes and functional decline. This pilot study's objectives were (a) to test the reliability of the Elderly Nutrition Screening Tool (ENS [C]) when administered by dietician-trained and supervised nutrition volunteers, and (b) to…

  10. Task shifting-perception of stake holders about adequacy of training and supervision for community mental health workers in Ghana.

    Science.gov (United States)

    Agyapong, Vincent I O; Osei, Akwasi; Mcloughlin, Declan M; McAuliffe, Eilish

    2016-06-01

    There is growing interest in the effectiveness of task shifting as a strategy for addressing expanding health care challenges in settings with shortages of qualified health personnel. The aim of this study is to examine the perception of stakeholders about the adequacy of training, supervision and support offered to community mental health workers (CMHWs) in Ghana. To address this aim we designed and administered self-completed, semi-structured questionnaires adapted to three specific stakeholder groups in Ghana. The questionnaires were administered to 11 psychiatrists, 29 health policy implementers/coordinators and 164 CMHWs, across Ghana, including 71 (43.3%) Community Psychiatric Nurses (CPNs), 19 (11.6%) Clinical Psychiatric Officers (CPOs) and 74 (45.1%) Community Mental Health Officers (CMHOs). Almost all the stakeholders believed CMHWs in Ghana receive adequate training for the role they are expected to play although many identify some gaps in the training of these mental health workers for the expanded roles they actually play. There were statistically significant differences between the different CMHW groups and the types of in-service training they said they had attended, the frequency with which their work was supervised, and the frequency with which they received feedback from supervisors. CPOs were more likely to attend all the different kinds of in-service training than CMHOs and CPNs, while CMHOs were more likely than CPOs and CPNs to report that their work is never supervised or that they rarely or never receive feedback from supervisors. There was disparity between what CMHWs said were their experiences and the perception of policy makers with respect to the types of in-service training that is available to CMHWs. There is a need to review the task shifting arrangements, perhaps with a view to expanding it to include more responsibilities, and therefore review the curriculum of the training institution for CMHWs and also to offer them regular in

  11. Reliability and effectiveness of clickthrough data for automatic image annotation

    NARCIS (Netherlands)

    Tsikrika, T.; Diou, C.; Vries, A.P. de; Delopoulos, A.

    2010-01-01

    Automatic image annotation using supervised learning is performed by concept classifiers trained on labelled example images. This work proposes the use of clickthrough data collected from search logs as a source for the automatic generation of concept training data, thus avoiding the expensive manua

  12. Cellular fibronectin response to supervised moderate aerobic training in patients with type 2 diabetes.

    Science.gov (United States)

    Alghadir, Ahmad H; Gabr, Sami A; Al-Eisa, Einas

    2016-04-01

    [Purpose] Physical activity is one of the most pivotal targets for the prevention and management of vascular complications, especially endothelial dysfunctions. Cellular fibronectin is an endothelium-derived protein involved in subendothelial matrix assembly. Its plasma levels reflect matrix alterations and vessel wall destruction in patients with type II diabetes. This study investigated the influence of 12 weeks of supervised aerobic training on cellular fibronectin and its relationship with insulin resistance and body weight in type II diabetic subjects. [Subjects and Methods] This study included 50 men with type II diabetes who had a mean age of 48.8 ± 14.6 years and were randomly divided into two groups: an aerobic exercise group (12 weeks, three 50 minutes sessions per week) and control group. To examine changes in cellular fibronectin, glycosylated hemoglobin, insulin resistance, fasting insulin, fasting blood sugar, and lipid profile, 5 ml of blood was taken from the brachial vein of patients before and 48 hours after completion of the exercise period and after 12 hours of fasting at rest. Data analysis was performed using the SPSS-16 software with the independent and paired t-tests. [Results] A significant decrease was observed in body mass index and body fat percentage in the experimental group. Compared with the control group, the aerobic exercise group showed a significant decrease in cellular fibronectin, glycosylated hemoglobin, insulin resistance, fasting insulin, fasting blood sugar, and lipid profile after 12 weeks of aerobic exercise. The change in cellular fibronectin showed positive significant correlation with body mass index, diabetic biomarkers, and physical activity level. [Conclusion] The results showed that supervised aerobic exercise as a stimulus can change the levels of cellular fibronectin as matrix metalloproteinase protein a long with improvement of insulin sensitivity and glycosylated hemoglobin in order to prevent

  13. Optimization of Automatic Train Control for Energy Management and Service Reliability

    Energy Technology Data Exchange (ETDEWEB)

    Susanna P. Gordon; Richard M. Wheeler; Timothy J. Sa; Donald A. Sheaffer

    1999-11-01

    A new generation of automatic train control systems is currently under development in the commuter-rail transit industry. These systems will utilize radio communication between wayside control computers and trains in order to provide high precision train control beyond the capability of today's automatic systems. The Bay Area Rapid Transit (BART) system is developing such a modern control system in collaboration with Harmon Industries. This system, called the Advanced Automatic Train Control (AATC) system, will allow for precision train locating and control, and will facilitate coordination of the trajectories of multiple trains. This system will be capable of running trains more closely together and decreasing the time a train requires to traverse the system, while simultaneously operating with a more modest traction power infrastructure, and providing a smoother, more comfortable ride to commuters. The authors have collaborated with BART to develop a simulator of the AATC system and the traction power system, and they have utilized this simulator as a testbed for the development of advanced train control techniques. Several train control algorithms, including one employing a neural network for train voltage prediction, have been developed and tested in the simulator. Smoother train trajectories, reduced power infrastructure requirements, and reduced energy consumption have been demonstrated. Improved service reliability is also expected to result.

  14. A Study of Clinical Supervision Techniques and Training in Substance Abuse Treatment

    Science.gov (United States)

    West, Paul L.; Hamm, Terri

    2012-01-01

    Data from 57 clinical supervisors in licensed substance abuse treatment programs indicate that 28% had completed formal graduate course work in clinical supervision and 33% were professionally licensed or certified. Findings raise concerns about the scope and quality of clinical supervision available to substance abuse counselors. (Contains 3…

  15. Self-supervised, mobile-application based cognitive training of auditory attention: A behavioral and fMRI evaluation

    Directory of Open Access Journals (Sweden)

    Josef J. Bless

    2014-07-01

    Full Text Available Emerging evidence of the validity of collecting data in natural settings using smartphone applications has opened new possibilities for psychological assessment, treatment, and research. In this study we explored the feasibility and effectiveness of using a mobile application for self-supervised training of auditory attention. In addition, we investigated the neural underpinnings of the training procedure with functional magnetic resonance imaging (fMRI, as well as possible transfer effects to untrained cognitive interference tasks. Subjects in the training group performed the training task on an iPod touch two times a day (morning/evening for three weeks; subjects in the control group received no training, but were tested at the same time interval as the training group. Behavioral responses were measured before and after the training period in both groups, together with measures of task-related neural activations by fMRI. The results showed an expected performance increase after training that corresponded to activation decreases in brain regions associated with selective auditory processing (left posterior temporal gyrus and executive functions (right middle frontal gyrus, indicating more efficient processing in task-related neural networks after training. Our study suggests that cognitive training delivered via mobile applications is feasible and improves the ability to focus attention with corresponding effects on neural plasticity. Future research should focus on the clinical benefits of mobile cognitive training. Limitations of the study are discussed including reduced experimental control and lack of transfer effects.

  16. Training shortest-path tractography: Automatic learning of spatial priors

    DEFF Research Database (Denmark)

    Kasenburg, Niklas; Liptrot, Matthew George; Reislev, Nina Linde;

    2016-01-01

    Tractography is the standard tool for automatic delineation of white matter tracts from diffusion weighted images. However, the output of tractography often requires post-processing to remove false positives and ensure a robust delineation of the studied tract, and this demands expert prior...... knowledge. Here we demonstrate how such prior knowledge, or indeed any prior spatial information, can be automatically incorporated into a shortest-path tractography approach to produce more robust results. We describe how such a prior can be automatically generated (learned) from a population, and we...... demonstrate that our framework also retains support for conventional interactive constraints such as waypoint regions. We apply our approach to the open access, high quality Human Connectome Project data, as well as a dataset acquired on a typical clinical scanner. Our results show that the use of a learned...

  17. Therapeutic validity and effectiveness of supervised physical exercise training on exercise capacity in patients with chronic obstructive pulmonary disease: A systematic review and meta-analysis

    NARCIS (Netherlands)

    Vooijs, M.; Siemonsma, P.C.; Heus, I.; Sont, J.K.; Rövekamp, T.A.; Meeteren, N.L. van

    2015-01-01

    Objective: Our aim was to determine the effectiveness of supervised physical exercise training on exercise capacity in patients with chronic obstructive pulmonary disease taken into consideration indices such as therapeutic validity of interventions, methodological quality of studies, and exercise v

  18. Training shortest-path tractography: Automatic learning of spatial priors.

    Science.gov (United States)

    Kasenburg, Niklas; Liptrot, Matthew; Reislev, Nina Linde; Ørting, Silas N; Nielsen, Mads; Garde, Ellen; Feragen, Aasa

    2016-04-15

    Tractography is the standard tool for automatic delineation of white matter tracts from diffusion weighted images. However, the output of tractography often requires post-processing to remove false positives and ensure a robust delineation of the studied tract, and this demands expert prior knowledge. Here we demonstrate how such prior knowledge, or indeed any prior spatial information, can be automatically incorporated into a shortest-path tractography approach to produce more robust results. We describe how such a prior can be automatically generated (learned) from a population, and we demonstrate that our framework also retains support for conventional interactive constraints such as waypoint regions. We apply our approach to the open access, high quality Human Connectome Project data, as well as a dataset acquired on a typical clinical scanner. Our results show that the use of a learned prior substantially increases the overlap of tractography output with a reference atlas on both populations, and this is confirmed by visual inspection. Furthermore, we demonstrate how a prior learned on the high quality dataset significantly increases the overlap with the reference for the more typical yet lower quality data acquired on a clinical scanner. We hope that such automatic incorporation of prior knowledge and the obviation of expert interactive tract delineation on every subject, will improve the feasibility of large clinical tractography studies. PMID:26804779

  19. Supervising Knowledge Work.

    Science.gov (United States)

    Duffy, Francis M.

    This paper summarizes a new paradigm of instructional supervision, which shifts the focus on supervision from an examination of individual behavior to the improvement of work processes and social system components of the school district. The paradigm, called "Knowledge Work Supervision," helps teams of teachers and specially trained supervisors…

  20. Academic Writing in Reflexive Professional Writing: Citations of Scientific Literature in Supervised Pre-Service Training Reports

    Directory of Open Access Journals (Sweden)

    Lívia Chaves de Melo

    2013-06-01

    Full Text Available In this paper we investigate citation practices of scientific literature in reflexive writing from the genre of supervised pre-service training report produced by pre-service teachers enrolled in the mandatory pre-service training subject of English Language Teaching, at an undergraduate language teaching course. The aim of this research is to analyze how these pre-services teacher represent themselves based on citation practices of scientific literature, and characterize some of the functions deployed by the citations in the reflexive writing emerging in the academic sphere. We use the dialogic approach to language from Bakhtinian studies as a theoretical base, as well as theoretical and methodological contributions regarding types of sequences and of discourse proposed by Adam and Bronckart. The results of this research show that the practice of citation of scientific literature is an invocation of authority as a form of erudition, amplification and ornamentation of the discourse produced. This practice can also guide pedagogical action developed by pre-service teachers in their supervised training.

  1. Supervision for School Psychologists in Training: Developing a Framework from Empirical Findings

    Science.gov (United States)

    Gibbs, Simon; Atkinson, Cathy; Woods, Kevin; Bond, Caroline; Hill, Vivian; Howe, Julia; Morris, Sue

    2016-01-01

    Similar to other professional disciplines, the importance of supervision within school psychology has attracted considerable attention within recent years. Despite this, systematic review of current literature reveals a dearth of empirical literature proposing underlying theoretical structures. This study extends recent qualitative research by…

  2. Description of an educational programme developed to support registered nurses during clinical supervision of student nurses in medical and surgical wards in a training health facility: Namibia

    Directory of Open Access Journals (Sweden)

    Hanna Neshuku

    2015-12-01

    Full Text Available This paper describes an educational programme interventions developed to support registered nurses during the clinical supervision of student nurses in the medical and surgical wards of a training hospital in the Oshana region, Namibia. The programme developed contained the purpose and goals of the programme, programme objectives, programme structure, processes and approaches. The programme catered for the following themes: Managerial challenges, educational challenges and non-conducive environment as was experienced by registered nurses and student nurses in order to support them during clinical supervision. It includes the activities to address managerial challenges as identified to be affecting the clinical supervision of student nurses; this is to address educational challenges identified during clinical supervision of student nurses. Furthermore, the programme contains activities focused on providing registered nurses with knowledge and skills on clinical supervision, in order to increase their understanding and competence about the clinical supervision of student nurses. Another activity included interventions for enhancing positive interpersonal relationships and good communication skills to improve effective interactions between registered nurses and student nurses. This study made it possible for the development of an educational programme that enable the registered nurses to receive the much needed information pertaining to the clinical supervision of student nurses, and served as a guide and support tool when carrying out clinical supervision of student nurses. In conclusion the study was justified as an original contribution to the existing body of knowledge in general health nursing science.

  3. Automatic training sample selection for a multi-evidence based crop classification approach

    DEFF Research Database (Denmark)

    Chellasamy, Menaka; Ferre, Ty; Greve, Mogens Humlekrog

    three Multi-Layer Perceptron (MLP) neural networks trained separately with spectral, texture and vegetation indices; classification labels were then assigned based on Endorsement Theory. The present study proposes an approach to feed this ensemble classifier with automatically selected training samples....... The available vector data representing crop boundaries with corresponding crop codes are used as a source for training samples. These vector data are created by farmers to support subsidy claims and are, therefore, prone to errors such as mislabeling of crop codes and boundary digitization errors. The proposed...

  4. Using aerial video to train the supervised classification of Landsat TM imagery for coral reef habitats mapping.

    Science.gov (United States)

    Bello-Pineda, J; Liceaga-Correa, M A; Hernández-Núñez, H; Ponce-Hernández, R

    2005-06-01

    Management of coral reef resources is a challenging task, in many cases, because of the scarcity or inexistence of accurate sources of information and maps. Remote sensing is a not intrusive, but powerful tool, which has been successfully used for the assessment and mapping of natural resources in coral reef areas. In this study we utilized GIS to combine Landsat TM imagery, aerial photography, aerial video and a digital bathymetric model, to assess and to map submerged habitats for Alacranes reef, Yucatán, México. Our main goal was testing the potential of aerial video as the source of data to produce training areas for the supervised classification of Landsat TM imagery. Submerged habitats were ecologically characterized by using a hierarchical classification of field data. Habitats were identified on an overlaid image, consisting of the three types of remote sensing products and the bathymetric model. Pixels representing those habitats were selected as training areas by using GIS tools. Training areas were used to classify the Landsat TM bands 1, 2 and 3 and the bathymetric model by using a maximum likelihood algorithm. The resulting thematic map was compared against field data classification to improve habitats definition. Contextual editing and reclassification were used to obtain the final thematic map with an overall accuracy of 77%. Analysis of aerial video by a specialist in coral reef ecology was found to be a suitable source of information to produce training areas for the supervised classification of Landsat TM imagery in coral reefs at a coarse scale. PMID:15952517

  5. Predicting pupylation sites in prokaryotic proteins using semi-supervised self-training support vector machine algorithm.

    Science.gov (United States)

    Ju, Zhe; Gu, Hong

    2016-08-15

    As one important post-translational modification of prokaryotic proteins, pupylation plays a key role in regulating various biological processes. The accurate identification of pupylation sites is crucial for understanding the underlying mechanisms of pupylation. Although several computational methods have been developed for the identification of pupylation sites, the prediction accuracy of them is still unsatisfactory. Here, a novel bioinformatics tool named IMP-PUP is proposed to improve the prediction of pupylation sites. IMP-PUP is constructed on the composition of k-spaced amino acid pairs and trained with a modified semi-supervised self-training support vector machine (SVM) algorithm. The proposed algorithm iteratively trains a series of support vector machine classifiers on both annotated and non-annotated pupylated proteins. Computational results show that IMP-PUP achieves the area under receiver operating characteristic curves of 0.91, 0.73, and 0.75 on our training set, Tung's testing set, and our testing set, respectively, which are better than those of the different error costs SVM algorithm and the original self-training SVM algorithm. Independent tests also show that IMP-PUP significantly outperforms three other existing pupylation site predictors: GPS-PUP, iPUP, and pbPUP. Therefore, IMP-PUP can be a useful tool for accurate prediction of pupylation sites. A MATLAB software package for IMP-PUP is available at https://juzhe1120.github.io/. PMID:27197054

  6. An Automatic Identification Procedure to Promote the use of FES-Cycling Training for Hemiparetic Patients

    Directory of Open Access Journals (Sweden)

    Emilia Ambrosini

    2014-01-01

    Full Text Available Cycling induced by Functional Electrical Stimulation (FES training currently requires a manual setting of different parameters, which is a time-consuming and scarcely repeatable procedure. We proposed an automatic procedure for setting session-specific parameters optimized for hemiparetic patients. This procedure consisted of the identification of the stimulation strategy as the angular ranges during which FES drove the motion, the comparison between the identified strategy and the physiological muscular activation strategy, and the setting of the pulse amplitude and duration of each stimulated muscle. Preliminary trials on 10 healthy volunteers helped define the procedure. Feasibility tests on 8 hemiparetic patients (5 stroke, 3 traumatic brain injury were performed. The procedure maximized the motor output within the tolerance constraint, identified a biomimetic strategy in 6 patients, and always lasted less than 5 minutes. Its reasonable duration and automatic nature make the procedure usable at the beginning of every training session, potentially enhancing the performance of FES-cycling training.

  7. From risky to safer home care: health care assistants striving to overcome a lack of training, supervision, and support

    Directory of Open Access Journals (Sweden)

    Lena Swedberg

    2013-05-01

    Full Text Available Patients receiving home care are becoming increasingly dependent upon competent caregivers’ 24-h availability due to their substantial care needs, often with advanced care and home care technology included. In Sweden, care is often carried out by municipality-employed paraprofessionals such as health care assistants (HC assistants with limited or no health care training, performing advanced care without formal training or support. The aim of this study was to investigate the work experience of the HC assistants and to explore how they manage when delivering 24-h home care to patients with substantial care needs. Grounded theory methodology involving multiple data sources comprising interviews with HC assistants (n=19 and field observations in patients’ homes was used to collect data and constant comparative analysis was used for analysis. The initial analysis revealed a number of barriers, competence gap; trapped in the home setting; poor supervision and unconnected to the patient care system, describing the risks associated with the situations of HC assistants working in home care, thus affecting their working conditions as well as the patient care. The core process identified was the HC assistants’ strivings to combine safe home care with good working conditions by using compensatory processes. The four identified compensatory processes were: day-by-day learning; balancing relations with the patient; self-managing; and navigating the patient care system. By actively employing the compensatory processes, the HC assistants could be said to adopt an inclusive approach, by compensating for their own barriers as well as those of their colleagues’ and taking overall responsibility for their workplace. In conclusion, the importance of supporting HC assistants in relation to their needs for training, supervision,and support from health care professionals must be addressed when organising 24-h home care to patients with substantial care needs

  8. Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization.

    Science.gov (United States)

    Conjeti, Sailesh; Katouzian, Amin; Roy, Abhijit Guha; Peter, Loïc; Sheet, Debdoot; Carlier, Stéphane; Laine, Andrew; Navab, Nassir

    2016-08-01

    In this paper, we propose a supervised domain adaptation (DA) framework for adapting decision forests in the presence of distribution shift between training (source) and testing (target) domains, given few labeled examples. We introduce a novel method for DA through an error-correcting hierarchical transfer relaxation scheme with domain alignment, feature normalization, and leaf posterior reweighting to correct for the distribution shift between the domains. For the first time we apply DA to the challenging problem of extending in vitro trained forests (source domain) for in vivo applications (target domain). The proof-of-concept is provided for in vivo characterization of atherosclerotic tissues using intravascular ultrasound signals, where presence of flowing blood is a source of distribution shift between the two domains. This potentially leads to misclassification upon direct deployment of in vitro trained classifier, thus motivating the need for DA as obtaining reliable in vivo training labels is often challenging if not infeasible. Exhaustive validations and parameter sensitivity analysis substantiate the reliability of the proposed DA framework and demonstrates improved tissue characterization performance for scenarios where adaptation is conducted in presence of only a few examples. The proposed method can thus be leveraged to reduce annotation costs and improve computational efficiency over conventional retraining approaches. PMID:27035487

  9. 多文档文摘语义单元自动去噪器的监督学习方法%Supervised Learning of an Automatic Noisy Semantic Unit Filter for Multi-Document Summarization

    Institute of Scientific and Technical Information of China (English)

    龚书; 瞿有利; 田盛丰

    2013-01-01

    多文档文摘的处理对象是存在噪音的文档集.现有文摘系统一般使用由人工设定阈值的固定阈值去噪器.但通过实验可见,不同文摘算法本身的抗噪能力各有高低,最优阈值随文档集、文摘算法、文本表示方法而改变,人工设定的固定阈值无法达到较好的通用性和去噪效果.为此,提出一种用于生成自动去噪器的监督学习方法,通过从人工文摘中自动获得标注信息,为语义单元提取多个特征,训练语义单元分类器而构成自动去噪器.可通用于不同文本表示所生成的语义单元,在不同多文档文摘系统的预处理阶段为任意文档集自动去除噪音语义单元.实验表明,该监督学习方法所生成的自动去噪器在不同文档集、文摘算法和文本表示方法下具有通用性,较好的去噪性能使各文摘算法的速度及所提取文摘的质量得到不同程度的提升.%The target of multi-document summarization is a document set containing many noises. Most of the state-of-art summarization systems use fixed threshold-based noise filter with a manually selected threshold to filter out low frequency units. But according to the observation in experiments, the best threshold varies according to different document sets, summarization algorithms and text representations. These mean that a fixed threshold-based noise filter cannot achieve good robustness in different summarization settings which will lead to an unstable noise filtering efficiency. Therefore, a supervised learning method to generate automatic noise filter is proposed. Based on the labels extracted automatically from human written summaries and a set of selected features which can be used for different types of semantic units, a semantic unit classifier is trained to compose the automatic noise filter, which can be used for different types of semantic unit generated by different text representation methods, and can automatically filter out noisy

  10. Training with o (observing) and T (treatment) teams in live supervision: reflections in the looking glass*.

    Science.gov (United States)

    Roberts, J; Matthews, W J; Bodin, N A; Cohen, D; Lewandowski, L; Novo, J; Pumilia, J; Willis, C

    1989-10-01

    Working with a treatment and observing team at the same time, behind the oneway mirror, offers a variety of ways to: (a) generate multiple realities; (b) work with two different models of family therapy simultaneously; and (c) provide feedback on the teams' own roles, rules and group process. The process that 6 trainees and two supervisors used with T and O teams to examine their own coevolution as a therapeutic system using the Milan model of family therapy and Ericksonian hypnotherapy is described. The article concludes with a discussion of the advantages and pitfalls of this type of dual supervision.

  11. Weighting training images by maximizing distribution similarity for supervised segmentation across scanners

    DEFF Research Database (Denmark)

    van Opbroek, Annegreet; Vernooij, Meike W; Ikram, M.Arfan;

    2015-01-01

    scanners than the target image. In our approach each training image is given a weight based on the distribution of its voxels in the feature space. These image weights are chosen as to minimize the difference between the weighted probability density function (PDF) of the voxels of the training images...... and the PDF of the voxels of the target image. The voxels and weights of the training images are then used to train a weighted classifier. We tested our method on three segmentation tasks: brain-tissue segmentation, skull stripping, and white-matter-lesion segmentation. For all three applications...

  12. TU-C-17A-04: BEST IN PHYSICS (THERAPY) - A Supervised Framework for Automatic Contour Assessment for Radiotherapy Planning of Head- Neck Cancer

    International Nuclear Information System (INIS)

    Purpose: Precise contour delineation of tumor targets and critical structures from CT simulations is essential for accurate radiotherapy (RT) treatment planning. However, manual and automatic delineation processes can be error prone due to limitations in imaging techniques and individual anatomic variability. Tedious and laborious manual verification is hence needed. This study develops a general framework for automatically assessing RT contours for head-neck cancer patients using geometric attribute distribution models (GADMs). Methods: Geometric attributes (centroid and volume) were computed from physician-approved RT contours of 29 head-neck patients. Considering anatomical correlation between neighboring structures, the GADM for each attribute was trained to characterize intra- and interpatient structure variations using principal component analysis. Each trained GADM was scalable and deformable, but constrained by the principal attribute variations of the training contours. A new hierarchical model adaptation algorithm was utilized to assess the RT contour correctness for a given patient. Receiver operating characteristic (ROC) curves were employed to evaluate and tune system parameters for the training models. Results: Experiments utilizing training and non-training data sets with simulated contouring errors were conducted to validate the framework performance. Promising assessment results of contour normality/abnormality for the training contour-based data were achieved with excellent accuracy (0.99), precision (0.99), recall (0.83), and F-score (0.97), while corresponding values of 0.84, 0.96, 0.83, and 0.9 were achieved for the non-training data. Furthermore, the areas under the ROC curves were above 0.9, validating the accuracy of this test. Conclusion: The proposed framework can reliably identify contour normality/abnormality based upon intra- and inter-structure constraints derived from clinically-approved contours. It also allows physicians to

  13. Counselor-in-Training Perceptions of Supervision Practices Related to Self-Care and Burnout

    Science.gov (United States)

    Thompson, E. Heather; Frick, Melodie H.; Trice-Black, Shannon

    2011-01-01

    Counselors-in-training face the challenges of balancing academic, professional, and personal obligations. Many counselors-in-training, however, report a lack of instruction regarding personal wellness and prevention of personal counselor burnout. The present study used CQR methodology with 14 counseling graduate students to investigate…

  14. Stereoscopic Augmented Reality System for Supervised Training on Minimal Invasive Surgery Robots

    DEFF Research Database (Denmark)

    Matu, Florin-Octavian; Thøgersen, Mikkel; Galsgaard, Bo;

    2014-01-01

    the need for efficient training. When training with the robot, the communication between the trainer and the trainee is limited, since the trainee often cannot see the trainer. To overcome this issue, this paper proposes an Augmented Reality (AR) system where the trainer is controlling two virtual robotic...

  15. On the Construction of Training Quality Supervising System of the Staff Training Base in Railway Companies%铁路企业职工培训基地培训质量督导体系建设研究

    Institute of Scientific and Technical Information of China (English)

    徐世建

    2015-01-01

    Building reasonable quality supervising system of training in order to improve the quality of talents training has practical significance to strengthen and improve the education and training work of the staff in railway companies.The paper analyzes the current situation of the construction of training quality supervising system of the staff training base in railway companies and takes wide example by construction mode of teaching quality supervision system in universities and vocational colleges .It explores a construction mode to meet the practical demand of training base in railway companies by setting up training quality supervising organization , organizing a supervisor team by classification , constructing a supervision system scientifically and establishing a benignant operation mechanism of training quality supervising system .%以提高人才培养质量为目标,合理构建培训质量督导体系,对加强和改进铁路企业职工教育培训工作具有重要的现实意义。在分析铁路企业职工培训基地培训质量督导体系建设现状和广泛借鉴高校、职业院校教学质量督导体系建设模式的基础上,本文提出通过建立培训质量督导组织机构、分类组建督导员队伍、科学建设督导制度体系、建立良性运行机制等措施,探索一种满足铁路企业职工培训基地实际需求的培训质量督导体系建设模式。

  16. Supervision in Libraries.

    Science.gov (United States)

    Bailey, Martha J.

    Although the literature of library administration draws extensively on that of business management, it is difficult to compare library supervision to business or industrial supervision. Library supervisors often do not have managerial training and may consider their management role as secondary. The educational level of the staff they supervise…

  17. Long-term abacus training induces automatic processing of abacus numbers in children.

    Science.gov (United States)

    Du, Fenglei; Yao, Yuan; Zhang, Qiong; Chen, Feiyan

    2014-01-01

    Abacus-based mental calculation (AMC) is a unique strategy for arithmetic that is based on the mental abacus. AMC experts can solve calculation problems with extraordinarily fast speed and high accuracy. Previous studies have demonstrated that abacus experts showed superior performance and special neural correlates during numerical tasks. However, most of those studies focused on the perception and cognition of Arabic numbers. It remains unclear how the abacus numbers were perceived. By applying a similar enumeration Stroop task, in which participants are presented with a visual display containing two abacus numbers and asked to compare the numerosity of beads that consisted of the abacus number, in the present study we investigated the automatic processing of the numerical value of abacus numbers in abacus-trained children. The results demonstrated a significant congruity effect in the numerosity comparison task for abacus-trained children, in both reaction time and error rate analysis. These results suggested that the numerical value of abacus numbers was perceived automatically by the abacus-trained children after long-term training.

  18. Long-term abacus training induces automatic processing of abacus numbers in children.

    Science.gov (United States)

    Du, Fenglei; Yao, Yuan; Zhang, Qiong; Chen, Feiyan

    2014-01-01

    Abacus-based mental calculation (AMC) is a unique strategy for arithmetic that is based on the mental abacus. AMC experts can solve calculation problems with extraordinarily fast speed and high accuracy. Previous studies have demonstrated that abacus experts showed superior performance and special neural correlates during numerical tasks. However, most of those studies focused on the perception and cognition of Arabic numbers. It remains unclear how the abacus numbers were perceived. By applying a similar enumeration Stroop task, in which participants are presented with a visual display containing two abacus numbers and asked to compare the numerosity of beads that consisted of the abacus number, in the present study we investigated the automatic processing of the numerical value of abacus numbers in abacus-trained children. The results demonstrated a significant congruity effect in the numerosity comparison task for abacus-trained children, in both reaction time and error rate analysis. These results suggested that the numerical value of abacus numbers was perceived automatically by the abacus-trained children after long-term training. PMID:25223112

  19. Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike

    DEFF Research Database (Denmark)

    Jongejan, Bart; Dalianis, Hercules

    2009-01-01

    We propose a method to automatically train lemmatization rules that handle prefix, infix and suffix changes to generate the lemma from the full form of a word. We explain how the lemmatization rules are created and how the lemmatizer works. We trained this lemmatizer on Danish, Dutch, English......, German, Greek, Icelandic, Norwegian, Polish, Slovene and Swedish full form-lemma pairs respectively. We obtained significant improvements of 24 percent for Polish, 2.3 percent for Dutch, 1.5 percent for English, 1.2 percent for German and 1.0 percent for Swedish compared to plain suffix lemmatization...... using a suffix-only lemmatizer. Icelandic deteriorated with 1.9 percent. We also made an observation regarding the number of produced lemmatization rules as a function of the number of training pairs....

  20. REALIZATION OF TRAINING PROGRAMME ON THE BASIS OF LINGUISTIC DATABASE FOR AUTOMATIC TEXTS PROCESSING SYSTEM

    Directory of Open Access Journals (Sweden)

    M. A. Makarych

    2016-01-01

    Full Text Available Due to the constant increasing of electronic textual information, modern society needs for the automatic processing of natural language (NL. The main purpose of NL automatic text processing systems is to analyze and create texts and represent their content. The purpose of the paper is the development of linguistic and software bases of an automatic system for processing English publicistic texts. This article discusses the examples of different approaches to the creation of linguistic databases for processing systems. The author gives a detailed description of basic building blocks for a new linguistic processor: lexical-semantic, syntactical and semantic-syntactical. The main advantage of the processor is using special semantic codes in the alphabetical dictionary. The semantic codes have been developed in accordance with a lexical-semantic classification. It helps to precisely define semantic functions of the keywords that are situated in parsing groups and allows the automatic system to avoid typical mistakes. The author also represents the realization of a developed linguistic database in the form of a training computer program.

  1. Integrating Supervision, Evaluation, and Training: Graduate Student Internships in Teaching Composition.

    Science.gov (United States)

    Hayes, Darwin L.

    A graduate student internship program in teaching composition at Brigham Young University (Utah) is described. Interns are trained for five advanced English courses: critical and interpretive writing, critical writing for elementary education majors, writing about literature, factual and scientific writing, and technical writing. The first interns…

  2. Emotion Regulation: Processes, Strategies, and Applications to Group Work Training and Supervision

    Science.gov (United States)

    Champe, Julia; Okech, Jane E. Atieno; Rubel, Deborah J.

    2013-01-01

    The complex group work environment can be overwhelming and anxiety provoking, particularly for novice group leaders. Effectively accessing and managing one's own emotions are tasks central to effective group leadership and should be primary learning objectives of group workers in training. This article provides an overview of Gross's…

  3. Kollegial supervision

    DEFF Research Database (Denmark)

    Andersen, Ole Dibbern; Petersson, Erling

    Publikationen belyser, hvordan kollegial supervision i en kan organiseres i en uddannelsesinstitution......Publikationen belyser, hvordan kollegial supervision i en kan organiseres i en uddannelsesinstitution...

  4. Transfer learning improves supervised image segmentation across imaging protocols

    DEFF Research Database (Denmark)

    van Opbroek, Annegreet; Ikram, M. Arfan; Vernooij, Meike W.;

    2015-01-01

    The variation between images obtained with different scanners or different imaging protocols presents a major challenge in automatic segmentation of biomedical images. This variation especially hampers the application of otherwise successful supervised-learning techniques which, in order to perform...... well, often require a large amount of labeled training data that is exactly representative of the target data. We therefore propose to use transfer learning for image segmentation. Transfer-learning techniques can cope with differences in distributions between training and target data, and therefore...... may improve performance over supervised learning for segmentation across scanners and scan protocols. We present four transfer classifiers that can train a classification scheme with only a small amount of representative training data, in addition to a larger amount of other training data...

  5. Semi-Supervised Single- and Multi-Domain Regression with Multi-Domain Training

    CERN Document Server

    Michaeli, Tomer; Sapiro, Guillermo

    2012-01-01

    We address the problems of multi-domain and single-domain regression based on distinct and unpaired labeled training sets for each of the domains and a large unlabeled training set from all domains. We formulate these problems as a Bayesian estimation with partial knowledge of statistical relations. We propose a worst-case design strategy and study the resulting estimators. Our analysis explicitly accounts for the cardinality of the labeled sets and includes the special cases in which one of the labeled sets is very large or, in the other extreme, completely missing. We demonstrate our estimators in the context of removing expressions from facial images and in the context of audio-visual word recognition, and provide comparisons to several recently proposed multi-modal learning algorithms.

  6. "The effect of supervised exercise training on psychological characteristics and physical fitness after myocardial infarction "

    Directory of Open Access Journals (Sweden)

    "Boshtam M

    2000-11-01

    Full Text Available Regarding the increasing prevalence of cardiovascular disease (CVD especially myocardial infarction (MI, and the insufficiency of information in the field of physical rehabilitation, this study aimed to investigate the effectiveness of a course of physical rehabilitation on the psychological status and physical characteristics f cardiac patients. In this study, the effect of 8 weeks exercise training, 3 sessions of 45 minutes duration per week, on the physical and psychological function of MI patients was evaluated. Eighty patients who were referred to the rehabilitation unit of Isfahan cardiovascular Research Center were randomly divided into two groups of exercise and non-exercise. The data of pre and post exercise course were analyzed with the SPSS software using the two-sample t-test and multiple liner regression. The comparison of the mean changes of functional capacity. Weight, body mass index (BMI, heart rate, and systolic and diastolic blood pressures between exercise and non-exercise groups after 8 weeks showed significant difference for all studied factors (P<0.05. Also, investigating the psychological characteristics such as depression, anxiety and hostility scores indicated a significant change after exercise training (P<0.05. Personality and behavior showed no significant difference. This study suggests the functional has a significant effect on improving the function capacity and psychological behavior in post MI patients.

  7. AAPM Medical Physics Practice Guideline 3.a: Levels of supervision for medical physicists in clinical training.

    Science.gov (United States)

    Seibert, J Anthony; Clements, Jessica B; Halvorsen, Per H; Herman, Michael G; Martin, Melissa C; Palta, Jatinder; Pfeiffer, Douglas E; Pizzutiello, Robert J; Schueler, Beth A; Shepard, S Jeff; Fairobrent, Lynne A

    2015-05-08

    The American Association of Physicists in Medicine (AAPM) is a nonprofit professional society whose primary purposes are to advance the science, education and professional practice of medical physics. The AAPM has more than 8,000 members and is the principal organization of medical physicists in the United States.The AAPM will periodically define new practice guidelines for medical physics practice to help advance the science of medical physics and to improve the quality of service to patients throughout the United States. Existing medical physics practice guidelines will be reviewed for the purpose of revision or renewal, as appropriate, on their fifth anniversary or sooner.Each medical physics practice guideline represents a policy statement by the AAPM, has undergone a thorough consensus process in which it has been subjected to extensive review, and requires the approval of the Professional Council. The medical physics practice guidelines recognize that the safe and effective use of diagnostic and therapeutic radiology requires specific training, skills, and techniques, as described in each document. Reproduction or modification of the published practice guidelines and technical standards by those entities not providing these services is not authorized.The following terms are used in the AAPM practice guidelines:Must and Must Not: Used to indicate that adherence to the recommendation is considered necessary to conform to this practice guideline.Should and Should Not: Used to indicate a prudent practice to which exceptions may occasionally be made in appropriate circumstances.

  8. Uncertain Training Data Edition for Automatic Object-Based Change Map Extraction

    Science.gov (United States)

    Hajahmadi, S.; Mokhtarzadeh, M.; Mohammadzadeh, A.; Valadanzouj, M. J.

    2013-09-01

    Due to the rapid transformation of the societies, and the consequent growth of the cities, it is necessary to study these changes in order to achieve better control and management of urban areas and assist the decision-makers. Change detection involves the ability to quantify temporal effects using multi-temporal data sets. The available maps of the under study area is one of the most important sources for this reason. Although old data bases and maps are a great resource, it is more than likely that the training data extracted from them might contain errors, which affects the procedure of the classification; and as a result the process of the training sample editing is an essential matter. Due to the urban nature of the area studied and the problems caused in the pixel base methods, object-based classification is applied. To reach this, the image is segmented into 4 scale levels using a multi-resolution segmentation procedure. After obtaining the segments in required levels, training samples are extracted automatically using the existing old map. Due to the old nature of the map, these samples are uncertain containing wrong data. To handle this issue, an editing process is proposed according to K-nearest neighbour and k-means algorithms. Next, the image is classified in a multi-resolution object-based manner and the effects of training sample refinement are evaluated. As a final step this classified image is compared with the existing map and the changed areas are detected.

  9. WIRELESS SENSOR NETWORK (WSN) BASED AUTOMATIC FIRING PRACTICE SYSTEM (AFPS) FOR TRAINING OF LAW ENFORCEMENT AGENCIES (LEAS)

    OpenAIRE

    Imran Jattala; Junaid Farooqi; Shakeel Durrani; Nassar Ikram; Irfan Hussian; Muazzam A. Goraya; Obaid B. Zakria

    2014-01-01

    The critical importance of an efficient infantryman in special operations force, tactical paramilitary and Law Enforcement Agencies (LEAs) is insurmountable. One of the many vital aspects of an effective solider is excellent marksmanship which requires extensive training at sophisticated firing ranges. Modern firing ranges are supported by Automatic Firing Practice Systems (AFPS) and this paper presents the design and development of such a system based on WSN. AFPS provide an automatic bullet...

  10. Educational Supervision Appropriate for Psychiatry Trainee's Needs

    Science.gov (United States)

    Rele, Kiran; Tarrant, C. Jane

    2010-01-01

    Objective: The authors studied the regularity and content of supervision sessions in one of the U.K. postgraduate psychiatric training schemes (Mid-Trent). Methods: A questionnaire sent to psychiatry trainees assessed the timing and duration of supervision, content and protection of supervision time, and overall quality of supervision. The authors…

  11. Supervision Strategies for the First Practicum.

    Science.gov (United States)

    Engels, Dennis W., Ed.; Dameron, Joseph D., Ed.

    Numerous researchers have recognized that supervision is critical in the preparation of counselors and psychotherapists. This supervision manual, which is organized around a coherent theory of training, is intended to help practitioners as they learn to supervise counselors and therapists. The manual is designed primarily for supervision of…

  12. Supervised progressive cross-continuum strength training compared with usual care in older medical patients: study protocol for a randomized controlled trial (the STAND-Cph trial)

    DEFF Research Database (Denmark)

    Pedersen, Mette Merete; Petersen, Janne; Beyer, Nina;

    2016-01-01

    BACKGROUND: Hospitalization in older adults is characterized by physical inactivity and a risk of losing function and independence. Systematic strength training can improve muscle strength and functional performance in older adults. Few studies have examined the effect of a program initiated during...... hospitalization and continued after discharge. We conducted a feasibility study prior to this trial and found a progression model for loaded sit-to-stands feasible in older medical patients. This study aims to determine whether a simple supervised strength training program for the lower extremities (based on the...

  13. Parental supervision and delinquency.

    Science.gov (United States)

    Fischer, D G

    1983-04-01

    A review of the literature suggests that parental supervision over their children is a significant variable in controlling the amount of delinquent behaviour; high supervision is associated with low delinquency. The relationship remains when variables such as mother's affection, parental conflict, parental aggression, mother's self-confidence, father's deviance, father's absence, father's occupation are controlled. And it appears to be effective under extremely adverse conditions such as poverty and authoritarian and repressive methods of child rearing. Training packages providing basic information about processes of child development and emphasizing positive techniques of child management, with parental supervision as an essential ingredient, need to be further developed and evaluated as a means of reducing delinquency.

  14. WIRELESS SENSOR NETWORK (WSN BASED AUTOMATIC FIRING PRACTICE SYSTEM (AFPS FOR TRAINING OF LAW ENFORCEMENT AGENCIES (LEAS

    Directory of Open Access Journals (Sweden)

    Imran Jattala

    2014-12-01

    Full Text Available The critical importance of an efficient infantryman in special operations force, tactical paramilitary and Law Enforcement Agencies (LEAs is insurmountable. One of the many vital aspects of an effective solider is excellent marksmanship which requires extensive training at sophisticated firing ranges. Modern firing ranges are supported by Automatic Firing Practice Systems (AFPS and this paper presents the design and development of such a system based on WSN. AFPS provide an automatic bullet-impact count during firing training session and is modular scalable in design for multiple of eight concurrent shooters. The system is versatile and flexible allowing for different small-arms and firing training modes and supports night firing exercise. AFPS comprises of two major components, the automatic target-box and a commander console. Automatic target-box has a motor & gear assembly, target sheet, bullet-impact sensor, control board, and WiFi communication module. Commander console is a ruggedized sunlight readable 10.4” Tablet PC, which with a built-in WiFi acts an access point. The automatic target-boxes equipped with embedded WiFi modules form sensor nodes of a WSN. The paper presents the complete System Development Life Cycle (SDLC of the firing practice system and associated WSN. The AFPS and bullet-impact sensor was extensively tested on Firing Ranges for accuracy of bullet-impact count. The results showed a bullet-impact count accuracy of over 97 percent.

  15. Effect of high- versus low-intensity supervised aerobic and resistance training on modifiable cardiovascular risk factors in type 2 diabetes; the Italian Diabetes and Exercise Study (IDES.

    Directory of Open Access Journals (Sweden)

    Stefano Balducci

    Full Text Available BACKGROUND: While current recommendations on exercise type and volume have strong experimental bases, there is no clear evidence from large-sized studies indicating whether increasing training intensity provides additional benefits to subjects with type 2 diabetes. OBJECTIVE: To compare the effects of moderate-to-high intensity (HI versus low-to-moderate intensity (LI training of equal energy cost, i.e. exercise volume, on modifiable cardiovascular risk factors. DESIGN: Pre-specified sub-analysis of the Italian Diabetes and Exercise Study (IDES, a randomized multicenter prospective trial comparing a supervised exercise intervention with standard care for 12 months (2005-2006. SETTING: Twenty-two outpatient diabetes clinics across Italy. PATIENTS: Sedentary patients with type 2 diabetes assigned to twice-a-week supervised progressive aerobic and resistance training plus exercise counseling (n = 303. INTERVENTIONS: Subjects were randomized by center to LI (n = 142, 136 completed or HI (n = 161, 152 completed progressive aerobic and resistance training, i.e. at 55% or 70% of predicted maximal oxygen consumption and at 60% or 80% of predicted 1-Repetition Maximum, respectively, of equal volume. MAIN OUTCOME MEASURE(S: Hemoglobin (Hb A(1c and other cardiovascular risk factors; 10-year coronary heart disease (CHD risk scores. RESULTS: Volume of physical activity, both supervised and non-supervised, was similar in LI and HI participants. Compared with LI training, HI training produced only clinically marginal, though statistically significant, improvements in HbA(1c (mean difference -0.17% [95% confidence interval -0.44,0.10], P = 0.03, triglycerides (-0.12 mmol/l [-0.34,0.10], P = 0.02 and total cholesterol (-0.24 mmol/l [-0.46, -0.01], P = 0.04, but not in other risk factors and CHD risk scores. However, intensity was not an independent predictor of reduction of any of these parameters. Adverse event rate was similar in HI and LI subjects

  16. Skærpet bevidsthed om supervision

    DEFF Research Database (Denmark)

    Pedersen, Inge Nygaard

    2002-01-01

    This article presents a historical survey of the initiatives which have taken place in european music therapy towards developing a deeper consciousness about supervision. Supervision as a disciplin in music therapy training, as a maintenance of music therapy profession and as a postgraduate train...... training for examined music therapists. Definitions are presented and methods developed by working groups in european music therapy supervision are presented.......This article presents a historical survey of the initiatives which have taken place in european music therapy towards developing a deeper consciousness about supervision. Supervision as a disciplin in music therapy training, as a maintenance of music therapy profession and as a postgraduate...

  17. INCREASING RELIABILITY OF STEPPED AUTOMATIC STARTING AND RHEOSTAT BREAKING SYSTEM OF ELECTRIC TRAINS ER9T AND EPL9T

    Directory of Open Access Journals (Sweden)

    N. H. Visin

    2010-06-01

    Full Text Available The article examines transitional processes in the power circuit of tractive motors and their influence on the work of stepped automatic starting of electric trains ER9T and EPL9T. The recommendations for increasing the reliability of operation of multiple-unit rolling stock are proposed.

  18. Training, supervision and quality of care in selected integrated community case management (iCCM) programmes: A scoping review of programmatic evidence

    Science.gov (United States)

    Bosch–Capblanch, Xavier; Marceau, Claudine

    2014-01-01

    Aim To describe the training, supervision and quality of care components of integrated Community Case Management (iCCM) programmes and to draw lessons learned from existing evaluations of those programmes. Methods Scoping review of reports from 29 selected iCCM programmes purposively provided by stakeholders containing any information relevant to understand quality of care issues. Results The number of people reached by iCCM programmes varied from the tens of thousands to more than a million. All programmes aimed at improving access of vulnerable populations to health care, focusing on the main childhood illnesses, managed by Community Health Workers (CHW), often selected bycommunities. Training and supervision were widely implemented, in different ways and intensities, and often complemented with tools (eg, guides, job aids), supplies, equipment and incentives. Quality of care was measured using many outcomes (eg, access or appropriate treatment). Overall, there seemed to be positive effects for those strategies that involved policy change, organisational change, standardisation of clinical practices and alignment with other programmes. Positive effects were mostly achieved in large multi–component programmes. Mild or no effects have been described on mortality reduction amongst the few programmes for which data on this outcome was available to us. Promising strategies included teaming–up of CHW, micro–franchising or social franchising. On–site training and supervision of CHW have been shown to improve clinical practices. Effects on caregivers seemed positive, with increases in knowledge, care seeking behaviour, or caregivers’ basic disease management. Evidence on iCCM is often of low quality, cannot relate specific interventions or the ways they are implemented with outcomes and lacks standardisation; this limits the capacity to identify promising strategies to improve quality of care. Conclusion Large, multi–faceted, iCCM programmes, with strong

  19. Correlation between bone mineral density and serum trace elements in response to supervised aerobic training in older adults

    Directory of Open Access Journals (Sweden)

    Alghadir AH

    2016-02-01

    Full Text Available Ahmad H Alghadir,1 Sami A Gabr,1,2 Einas S Al-Eisa,1 Muaz H Alghadir3 1Rehabilitation Research Chair, College of Applied Medical Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia; 2Department of Anatomy, Faculty of Medicine, Mansoura University, Mansoura, Egypt; 3Department of Orthopedics, King Fahad Medical City, Riyadh, Kingdom of Saudi Arabia Background: Life style and physical activity play a pivotal role in prevention and treatment of osteoporosis. The mechanism for better bone metabolism and improvement of physical disorders is not clear yet. Trace minerals such as Ca, Mn, Cu, and Zn are essential precursors for most vital biological process, especially those of bone health.Objective: The main target of this study was evaluating the effective role of supervised aerobic exercise for 1 hour/day, 3 days/week for 12 weeks in the functions of trace elements in bone health through measuring bone mineral density (BMD, osteoporosis (T-score, bone markers, and trace element concentrations in healthy subjects aged 30–60 years with age average of 41.2±4.9.Methods: A total of 100 healthy subjects (47 males, 53 females; age range 30–60 years were recruited for this study. Based on dual-energy x-ray absorptiometry (DEXA scan analysis, the participants were classified into three groups: normal (n=30, osteopenic (n=40, and osteoporotic (n=30. Following, 12 weeks of moderate aerobic exercise, bone-specific alkaline phosphatase (BAP, BMD, T-score, and trace elements such as Ca, Mn, Cu, and Zn were assessed at baseline and post-intervention.Results: Significant improvement in serum BAP level, T-score, and BMD were observed in all participants following 12 weeks of moderate exercise. Participants with osteopenia and osteoporosis showed significant increase in serum Ca and Mn, along with decrease in serum Cu and Zn levels following 12 weeks of aerobic training. In control group, the improvements in serum trace elements and body mass

  20. Multicultural Supervision: What Difference Does Difference Make?

    Science.gov (United States)

    Eklund, Katie; Aros-O'Malley, Megan; Murrieta, Imelda

    2014-01-01

    Multicultural sensitivity and competency represent critical components to contemporary practice and supervision in school psychology. Internship and supervision experiences are a capstone experience for many new school psychologists; however, few receive formal training and supervision in multicultural competencies. As an increased number of…

  1. Clinical supervision.

    Science.gov (United States)

    Goorapah, D

    1997-05-01

    The introduction of clinical supervision to a wider sphere of nursing is being considered from a professional and organizational point of view. Positive views are being expressed about adopting this concept, although there are indications to suggest that there are also strong reservations. This paper examines the potential for its success amidst the scepticism that exists. One important question raised is whether clinical supervision will replace or run alongside other support systems.

  2. Development of software for MALTE, a system for automated testing of line current supervision andinterference monitoring devices

    OpenAIRE

    Zeltner Wolff, Johannes

    2015-01-01

    The aim of the project is to develop software to automatically test line current supervision and interference monitoring devices for Bombardier trains. The software, called MALTE, it to replace the manual testing done by an engineer, thereby freeing up the tester to do other tasks, and increasing the test rigorousness. The test software, written in LabView, was developed in tandem with a hardware rack, with interfaces to the train hardware enabling communication between the two, to set test c...

  3. [Practice report: Structured training to improve quality of care in emergency medical service. On-scene supervision: A new approach to emergency medical service training in Wiesbaden and Rheingau-Taunus-Kreis?].

    Science.gov (United States)

    Häske, David; Kreinest, Michael; Wölfl, Christoph G; Frank, Christian; Brodermann, Götz; Horter, Johannes; Suda, Arnold J; Gliwitzky, Bernhard; Beckers, Stefan K; Stöckle, Ulrich; Münzberg, Matthias

    2013-01-01

    In recent years, the emergency medical services in Wiesbaden and the Rheingau-Taunus district made great efforts to standardise structures. Since there are only few established procedures in the annual examinations for paramedics, there is reason to assume that treatment procedures for patients have not been standardised either. Materials and equipment are not handled uniformly, and employee satisfaction has significantly decreased over the last few years. To solve these problems, all paramedics undergo standardised and structured trainings. These training courses make use of the internationally accepted PHTLS (Pre-Hospital Trauma Life Support) and AMLS (Advanced Life Support Medial) programmes. In addition, practising skills and handling the equipment as well as on-scene supervision is to be established in practical training sessions.

  4. Discussion on movement skill automatization and training%简述动作技能自动化与训练

    Institute of Scientific and Technical Information of China (English)

    李雪

    2011-01-01

    Movement skill automatization make individual complete correlative movements without the participation of special awareness and control,thereby reduce the psychological resource consumption in movement skill operation.Movement skill automatization can help individual to strengthen the feed back function of kinaesthesia with formed movement chart and maintain natural operation level under the disadvantaged condition with nice clue.Overtraining and effective development of actual and timely feed back are the problems should be paid attention during movement skill automatization training.On the psychological training of movement skill automatization,especially the idea essence of presentation training method,effective implementation in practice is the present hotspot in this field.%动作技能自动化使个体在无需特殊意识参与和控制下,协调有序地完成相关动作序列,从而降低动作技能操作中的心理资源消耗。动作技能自动化有助于个体凭借自身已形成的运动程序图式,加强动觉反馈的作用,并能利用细微的线索,在不利条件下维持正常的操作水平。"过度练习"及具体及时反馈的有效开展都是动作技能自动化训练中需要注意的问题。关于动作技能自动化的心理训练,尤其是表象训练法的理念精髓在实践中的有效的贯彻是目前该领域研究的热点。

  5. Implementation and evaluation of an educational programme to support registered nurses during clinical supervision of student nurses in medical and surgical wards in a training health facility, Namibia

    Directory of Open Access Journals (Sweden)

    Hanna Neshuku

    2015-12-01

    Full Text Available The purpose of this paper is to provide an account of the implementation and evaluation of the educational programme was to support registered nurses in the Oshana region, Namibia educationally, in order to enable them to provide effective clinical supervision of student nurses The researcher selected to conduct a workshop because during a workshop it is possible to have two-way communication that encouraged the exchange of ideas and facts with the aim of sharing valued information among one another. The duration of the workshop was two days. The workshop was attended by registered nurses (registered nurses from a training institution and training health facilities from the Oshana Region. Participants were selected using a criterion sampling method (registered nurses who were supervising second and third year nursing students during clinical practice; those registered nurses were from medical and surgical wards at training heath facilities in the Oshana Region and had been working there for a year or more. There were no limitations on the number / sample size; the researcher allowed all participants who turned up to attend the workshop resulted in seventeen participants attended the workshop. The programme was implemented in three phases which in turn was divided into sessions. The orientation phase provided an introduction to the workshop where aspects related to the purpose, goals, and objectives of the workshop and logistical arrangements of the implementation of the programme were discussed. The working phase consisted of three sessions which is corresponding to the programme objectives. The implementation of each session was based on the specific objective activities of that session and it was expected to produce an outcome that would help the registered nurses during the execution of their clinical supervisory duties of nursing students During the termination phase two qualitative evaluations were done firstly, the evaluation of the

  6. A Novel Semi-Supervised Method of Electronic Nose for Indoor Pollution Detection Trained by M-S4VMs

    Science.gov (United States)

    Huang, Tailai; Jia, Pengfei; He, Peilin; Duan, Shukai; Yan, Jia; Wang, Lidan

    2016-01-01

    Electronic nose (E-nose), as a device intended to detect odors or flavors, has been widely used in many fields. Many labeled samples are needed to gain an ideal E-nose classification model. However, the labeled samples are not easy to obtain and there are some cases where the gas samples in the real world are complex and unlabeled. As a result, it is necessary to make an E-nose that cannot only classify unlabeled samples, but also use these samples to modify its classification model. In this paper, we first introduce a semi-supervised learning algorithm called S4VMs and improve its use within a multi-classification algorithm to classify the samples for an E-nose. Then, we enhance its performance by adding the unlabeled samples that it has classified to modify its model and by using an optimization algorithm called quantum-behaved particle swarm optimization (QPSO) to find the optimal parameters for classification. The results of comparing this with other semi-supervised learning algorithms show that our multi-classification algorithm performs well in the classification system of an E-nose after learning from unlabeled samples. PMID:27626420

  7. A Novel Semi-Supervised Method of Electronic Nose for Indoor Pollution Detection Trained by M-S4VMs.

    Science.gov (United States)

    Huang, Tailai; Jia, Pengfei; He, Peilin; Duan, Shukai; Yan, Jia; Wang, Lidan

    2016-01-01

    Electronic nose (E-nose), as a device intended to detect odors or flavors, has been widely used in many fields. Many labeled samples are needed to gain an ideal E-nose classification model. However, the labeled samples are not easy to obtain and there are some cases where the gas samples in the real world are complex and unlabeled. As a result, it is necessary to make an E-nose that cannot only classify unlabeled samples, but also use these samples to modify its classification model. In this paper, we first introduce a semi-supervised learning algorithm called S4VMs and improve its use within a multi-classification algorithm to classify the samples for an E-nose. Then, we enhance its performance by adding the unlabeled samples that it has classified to modify its model and by using an optimization algorithm called quantum-behaved particle swarm optimization (QPSO) to find the optimal parameters for classification. The results of comparing this with other semi-supervised learning algorithms show that our multi-classification algorithm performs well in the classification system of an E-nose after learning from unlabeled samples. PMID:27626420

  8. Automatic subject classification of textual documents using limited or no training data

    OpenAIRE

    Joorabchi, Arash

    2010-01-01

    With the explosive growth in the number of electronic documents available on the internet, intranets, and digital libraries, there is a growing need for automatic systems capable of indexing and organising such large volumes of data more that ever. Automatic Text Classification (ATC) has become one of the principal means for enhancing the performance of information retrieval systems and organising digital libraries and other textual collections. Within this context, the use of ...

  9. Whither Supervision?

    Directory of Open Access Journals (Sweden)

    Duncan Waite

    2006-11-01

    Full Text Available This paper inquires if the school supervision is in decadence. Dr. Waite responds that the answer will depend on which perspective you look at it. Dr. Waite suggests taking in consideration three elements that are related: the field itself, the expert in the field (the professor, the theorist, the student and the administrator, and the context. When these three elements are revised, it emphasizes that there is not a consensus about the field of supervision, but there are coincidences related to its importance and that it is related to the improvement of the practice of the students in the school for their benefit. Dr. Waite suggests that the practice on this field is not always in harmony with what the theorists affirm. When referring to the supervisor or the skilled person, the author indicates that his or her perspective depends on his or her epistemological believes or in the way he or she conceives the learning; that is why supervision can be understood in different ways. About the context, Waite suggests that there have to be taken in consideration the social or external forces that influent the people and the society, because through them the education is affected. Dr. Waite concludes that the way to understand the supervision depends on the performer’s perspective. He responds to the initial question saying that the supervision authorities, the knowledge on this field, the performers, and its practice, are maybe spread but not extinct because the supervision will always be part of the great enterprise that we called education.

  10. The efficacy of early initiated, supervised, progressive resistance training compared to unsupervised, home-based exercise after unicompartmental knee arthroplasty

    DEFF Research Database (Denmark)

    Jørgensen, Peter Bo; Bogh, Søren B; Kierkegaard, Signe;

    2016-01-01

    and osteoarthritis outcome score (KOOS). RESULTS: Forty patients (73%) completed 1-year follow-up. Patients in the progressive resistance training group participated in average 11 of 16 training sessions. Leg extension power increased from baseline to 10-week follow-up in progressive resistance.......29). CONCLUSIONS: Progressive resistance training two days/week combined with home based exercise five days/week was not superior to home based exercise seven days/week in improving leg extension power of the operated leg....... exercise five days/week and progressive resistance training two days/week) or control group (home based exercise seven days/week). MAIN MEASURES: Preoperative assessment, 10-week (primary endpoint) and one-year follow-up were performed for leg extension power, spatiotemporal gait parameters and knee injury...

  11. Effect of supervised, periodized exercise training vs. self-directed training on lean body mass and other fitness variables in health club members.

    Science.gov (United States)

    Storer, Thomas W; Dolezal, Brett A; Berenc, Matthew N; Timmins, John E; Cooper, Christopher B

    2014-07-01

    Conventional wisdom suggests that exercise training with a personal trainer (PTr) is more beneficial for improving health-related fitness than training alone. However, there are no published data that confirm whether fitness club members who exercise with a PTr in the fitness club setting obtain superior results compared with self-directed training. We hypothesized that club members randomized to receive an evidence-based training program would accrue greater improvements in lean body mass (LBM) and other fitness measures than members randomized to self-training. Men, aged 30-44 years, who were members of a single Southern California fitness club were randomized to exercise with a PTr administering a nonlinear periodized training program (TRAINED, N = 17) or to self-directed training (SELF, N = 17); both groups trained 3 days per week for 12 weeks. Lean body mass was determined by dual-energy x-ray absorptiometry. Secondary outcomes included muscle strength 1 repetition maximum (1RM), leg power (vertical jump), and aerobic capacity (V[Combining Dot Above]O2max). TRAINED individuals increased LBM by 1.3 (0.4) kg, mean (SEM) vs. no change in SELF, p = 0.029. Similarly, significantly greater improvements were seen for TRAINED vs. SELF in chest press strength (42 vs. 19%; p = 0.003), peak leg power (6 vs. 0.6%; p members whose training is directed by well-qualified PTrs administering evidence-based training regimens achieve significantly greater improvements in LBM and other dimensions of fitness than members who direct their own training.

  12. Effect of supervised, periodized exercise training vs. self-directed training on lean body mass and other fitness variables in health club members.

    Science.gov (United States)

    Storer, Thomas W; Dolezal, Brett A; Berenc, Matthew N; Timmins, John E; Cooper, Christopher B

    2014-07-01

    Conventional wisdom suggests that exercise training with a personal trainer (PTr) is more beneficial for improving health-related fitness than training alone. However, there are no published data that confirm whether fitness club members who exercise with a PTr in the fitness club setting obtain superior results compared with self-directed training. We hypothesized that club members randomized to receive an evidence-based training program would accrue greater improvements in lean body mass (LBM) and other fitness measures than members randomized to self-training. Men, aged 30-44 years, who were members of a single Southern California fitness club were randomized to exercise with a PTr administering a nonlinear periodized training program (TRAINED, N = 17) or to self-directed training (SELF, N = 17); both groups trained 3 days per week for 12 weeks. Lean body mass was determined by dual-energy x-ray absorptiometry. Secondary outcomes included muscle strength 1 repetition maximum (1RM), leg power (vertical jump), and aerobic capacity (V[Combining Dot Above]O2max). TRAINED individuals increased LBM by 1.3 (0.4) kg, mean (SEM) vs. no change in SELF, p = 0.029. Similarly, significantly greater improvements were seen for TRAINED vs. SELF in chest press strength (42 vs. 19%; p = 0.003), peak leg power (6 vs. 0.6%; p club setting that members whose training is directed by well-qualified PTrs administering evidence-based training regimens achieve significantly greater improvements in LBM and other dimensions of fitness than members who direct their own training. PMID:24276303

  13. Effects of self-management training and reinforcement on the transfer of improved conduct in the absence of supervision.

    OpenAIRE

    Ninness, H A; Fuerst, J; Rutherford, R D; Glenn, S S

    1991-01-01

    The instruction, maintenance, and transfer of training of social skills of 3 seriously emotionally disturbed adolescents were accomplished by a self-management training and reinforcement package. During baseline sessions these students, who were covertly filmed in their classroom, averaged over 90% off-task or socially inappropriate behavior while their teacher was out of the room. They showed similar behaviors when walking between classes, unattended by their teacher. Treatment was introduce...

  14. Peer-led training in basic life support and resuscitation using an automatic external defibrillator

    DEFF Research Database (Denmark)

    Løfgren, Bo; Petersen, Christina Børlum; Mikkelsen, Ronni;

    2009-01-01

    Peer-led training has been identified as a useful tool for delivering undergraduate healthcare training. In this paper we describe the implementation of the European Resuscitation Council BLS/AED Course as a peer-led training program for medical students....

  15. Supervision af psykoterapi via Skype

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard; Grünbaum, Liselotte

    2011-01-01

    clinical experience of Skype™ in supervision, mainly of psychoanalytic child psychotherapy, is presented and reflected upon. Finally, the reluctance of the Danish Board for Psychologists’s to recognize audiovisual distance supervision as part of the required training demands is discussed. It is concluded...... that although face-to-face meetings are to be preferred, today’s technology means that supervision via videoconference like Skype™ is better than just being acceptable. Thus, it offers a good alternative to face-to-face encounters, and in certain ways it even seems to boost the growth of the supervisees...

  16. Techniques for Automatic Creation of Terrain Databases for Training and Mission Preparation

    NARCIS (Netherlands)

    Kuijper, F.; Son, R. van; Meurs, F. van; Smelik, R.M.; Kraker, J.K. de

    2010-01-01

    In the support of defense agencies and civil authorities TNO runs a research program that strives after automatic generation of terrain databases for a variety of simulation applications. Earlier papers by TNO at the IMAGE conference have reported in-depth on specific projects within this program. R

  17. Developing and Evaluating an Oral Skills Training Website Supported by Automatic Speech Recognition Technology

    Science.gov (United States)

    Chen, Howard Hao-Jan

    2011-01-01

    Oral communication ability has become increasingly important to many EFL students. Several commercial software programs based on automatic speech recognition (ASR) technologies are available but their prices are not affordable for many students. This paper will demonstrate how the Microsoft Speech Application Software Development Kit (SASDK), a…

  18. A supervised texton based approach for automatic segmentation and measurement of the fetal head and femur in 2D ultrasound images

    Science.gov (United States)

    Zhang, Lei; Ye, Xujiong; Lambrou, Tryphon; Duan, Wenting; Allinson, Nigel; Dudley, Nicholas J.

    2016-02-01

    This paper presents a supervised texton based approach for the accurate segmentation and measurement of ultrasound fetal head (BPD, OFD, HC) and femur (FL). The method consists of several steps. First, a non-linear diffusion technique is utilized to reduce the speckle noise. Then, based on the assumption that cross sectional intensity profiles of skull and femur can be approximated by Gaussian-like curves, a multi-scale and multi-orientation filter bank is designed to extract texton features specific to ultrasound fetal anatomic structure. The extracted texton cues, together with multi-scale local brightness, are then built into a unified framework for boundary detection of ultrasound fetal head and femur. Finally, for fetal head, a direct least square ellipse fitting method is used to construct a closed head contour, whilst, for fetal femur a closed contour is produced by connecting the detected femur boundaries. The presented method is demonstrated to be promising for clinical applications. Overall the evaluation results of fetal head segmentation and measurement from our method are comparable with the inter-observer difference of experts, with the best average precision of 96.85%, the maximum symmetric contour distance (MSD) of 1.46 mm, average symmetric contour distance (ASD) of 0.53 mm while for fetal femur, the overall performance of our method is better than the inter-observer difference of experts, with the average precision of 84.37%, MSD of 2.72 mm and ASD of 0.31 mm.

  19. Situated cognitive engineering: the requirements and design of automatically directed scenario-based training

    NARCIS (Netherlands)

    Peeters, M.M.M.; van den Bosch, K.; Meyer, J-J.Ch.; Neerincx, M.A.

    2012-01-01

    Serious games enable trainees to practice independently of school, staff, and fellow students. This is important as amount of practice directly relates to training efficacy. It is also known that personalized guidance elevates the benefits of training. How to achieve automated guidance, for example to

  20. Implementing automatic LiDAR and supervised mapping methodologies to quantify agricultural terraced landforms at landscape scale: the case of Veneto Region

    Science.gov (United States)

    Eugenio Pappalardo, Salvatore; Ferrarese, Francesco; Tarolli, Paolo; Varotto, Mauro

    2016-04-01

    Traditional agricultural terraced landscapes presently embody an important cultural value to be deeply investigated, both for their role in local heritage and cultural economy and for their potential geo-hydrological hazard due to abandonment and degradation. Moreover, traditional terraced landscapes are usually based on non-intensive agro-systems and may enhance some important ecosystems services such as agro-biodiversity conservation and cultural services. Due to their unplanned genesis, mapping, quantifying and classifying agricultural terraces at regional scale is often critical as far as they are usually set up on geomorphologically and historically complex landscapes. Hence, traditional mapping methods are generally based on scientific literature and local documentation, historical and cadastral sources, technical cartography and aerial images visual interpretation or, finally, field surveys. By this, limitations and uncertainty in mapping at regional scale are basically related to forest cover and lack in thematic cartography. The Veneto Region (NE of Italy) presents a wide heterogeneity of agricultural terraced landscapes, mainly distributed within the hilly and Prealps areas. Previous studies performed by traditional mapping method quantified 2,688 ha of terraced areas, showing the higher values within the Prealps of Lessinia (1,013 ha, within the Province of Verona) and in the Brenta Valley (421 ha, within the Province of Vicenza); however, terraced features of these case studies show relevant differences in terms of fragmentation and intensity of terraces, highlighting dissimilar degrees of clusterization: 1.7 ha on one hand (Province of Verona) and 1.2 ha per terraced area (Province of Vicenza) on the other one. The aim of this paper is to implement and to compare automatic methodologies with traditional survey methodologies to map and assess agricultural terraces in two representative areas of the Veneto Region. Testing different Remote Sensing

  1. AUTOMATIC TRAINING DATA SYNTHESIS FOR HANDWRITING RECOGNITION USING THE STRUCTURAL CROSSING-OVER TECHNIQUE

    Directory of Open Access Journals (Sweden)

    Sirisak Visessenee

    2014-07-01

    Full Text Available The paper presents a novel technique called “Struct ural Crossing-Over” to synthesize qualified data fo r training machine learning-based handwriting recogni tion. The proposed technique can provide a greater variety of patterns of training data than the exist ing approaches such as elastic distortion and tange nt- based affine transformation. A couple of training c haracters are chosen, then they are analyzed by the ir similar and different structures, and finally are c rossed over to generate the new characters. The experiments are set to compare the performances of tangent-based affine transformation and the propose d approach in terms of the variety of generated chara cters and percent of recognition errors. The stand ard MNIST corpus including 60,000 training characters a nd 10,000 test characters is employed in the experiments. The proposed technique uses 1,000 char acters to synthesize 60,000 characters, and then us es these data to train and test the benchmark handwrit ing recognition system that exploits Histogram of Gradient: HOG as features and Support Vector Machin e: SVM as recognizer. The experimental result yields 8.06% of errors. It significantly outperform s the tangent-based affine transformation and the original MNIST training data, which are 11.74% and 16.55%, respectively.

  2. Automatic Speech Recognition and Training for Severely Dysarthric Users of Assistive Technology: The STARDUST Project

    Science.gov (United States)

    Parker, Mark; Cunningham, Stuart; Enderby, Pam; Hawley, Mark; Green, Phil

    2006-01-01

    The STARDUST project developed robust computer speech recognizers for use by eight people with severe dysarthria and concomitant physical disability to access assistive technologies. Independent computer speech recognizers trained with normal speech are of limited functional use by those with severe dysarthria due to limited and inconsistent…

  3. Controlled test compiling and programming automatization for the NPP operator training system

    Energy Technology Data Exchange (ETDEWEB)

    Gevorkyan, A.S.; Muradyan, S.G.; Oganesyan, R.A.; Pogosyan, V.Sh.

    1984-01-01

    Problems of control test compiling and programming for the NPP operator training system (OTS) are considered. Types of control questions and answers to them used in the OTS for arrangement of admittance and current control of knowledge are given. A method for control test compiling and programming automation for OTS is described.

  4. Guidelines for clinical supervision in health service psychology.

    Science.gov (United States)

    2015-01-01

    This document outlines guidelines for supervision of students in health service psychology education and training programs. The goal was to capture optimal performance expectations for psychologists who supervise. It is based on the premises that supervisors (a) strive to achieve competence in the provision of supervision and (b) employ a competency-based, meta-theoretical approach to the supervision process. The Guidelines on Supervision were developed as a resource to inform education and training regarding the implementation of competency-based supervision. The Guidelines on Supervision build on the robust literatures on competency-based education and clinical supervision. They are organized around seven domains: supervisor competence; diversity; relationships; professionalism; assessment/evaluation/feedback; problems of professional competence, and ethical, legal, and regulatory considerations. The Guidelines on Supervision represent the collective effort of a task force convened by the American Psychological Association (APA) Board of Educational Affairs (BEA).

  5. Clinical Supervision Strategies for School Counselors Working with Twice-Exceptional Students

    Science.gov (United States)

    Goldsmith, SaDohl K.

    2012-01-01

    Clinical supervision is a way for counselors in training to develop needed skills (Bernard & Goodyear, 1998). Best practices indicate that counselors trained in the application of supervision theory should provide clinical supervision. However, many school counselors receive administrative supervision by non-counseling professionals who may…

  6. Supervised Material Classification in Oblique Aerial Imagery Using Gabor Filter Features

    Science.gov (United States)

    Harris, Michael L.

    RIT's Digital Imaging and Remote Sensing Image Generation (DIRSIG) tool allows modeling of real world scenes to create synthetic imagery for sensor design and analysis, trade studies, algorithm validation, and training image analysts. To increase model construction speed, and the diversity and size of synthetic scenes which can be generated it is desirable to automatically segment real world imagery into different material types and import a material classmap into DIRSIG. This work contributes a methodology based on standard texture recognition techniques to supervised classification of material types in oblique aerial imagery. Oblique imagery provides many challenges for texture recognition due to illumination changes with view angle, projective distortions, occlusions and self shadowing. It is shown that features derived from a set of rotationally invariant bandpass filters fused with color channel information can provide supervised classification accuracies up to 70% with minimal training data.

  7. Supervised Transfer Sparse Coding

    KAUST Repository

    Al-Shedivat, Maruan

    2014-07-27

    A combination of the sparse coding and transfer learn- ing techniques was shown to be accurate and robust in classification tasks where training and testing objects have a shared feature space but are sampled from differ- ent underlying distributions, i.e., belong to different do- mains. The key assumption in such case is that in spite of the domain disparity, samples from different domains share some common hidden factors. Previous methods often assumed that all the objects in the target domain are unlabeled, and thus the training set solely comprised objects from the source domain. However, in real world applications, the target domain often has some labeled objects, or one can always manually label a small num- ber of them. In this paper, we explore such possibil- ity and show how a small number of labeled data in the target domain can significantly leverage classifica- tion accuracy of the state-of-the-art transfer sparse cod- ing methods. We further propose a unified framework named supervised transfer sparse coding (STSC) which simultaneously optimizes sparse representation, domain transfer and classification. Experimental results on three applications demonstrate that a little manual labeling and then learning the model in a supervised fashion can significantly improve classification accuracy.

  8. Novel Discrete Compactness-Based Training for Vector Quantization Networks: Enhancing Automatic Brain Tissue Classification

    Directory of Open Access Journals (Sweden)

    Ricardo Pérez-Aguila

    2013-01-01

    Full Text Available An approach for nonsupervised segmentation of Computed Tomography (CT brain slices which is based on the use of Vector Quantization Networks (VQNs is described. Images are segmented via a VQN in such way that tissue is characterized according to its geometrical and topological neighborhood. The main contribution rises from the proposal of a similarity metric which is based on the application of Discrete Compactness (DC which is a factor that provides information about the shape of an object. One of its main strengths lies in the sense of its low sensitivity to variations, due to noise or capture defects, in the shape of an object. We will present, compare, and discuss some examples of segmentation networks trained under Kohonen’s original algorithm and also under our similarity metric. Some experiments are established in order to measure the effectiveness and robustness, under our application of interest, of the proposed networks and similarity metric.

  9. A Delphi Study and Initial Validation of Counselor Supervision Competencies

    Science.gov (United States)

    Neuer Colburn, Anita A.; Grothaus, Tim; Hays, Danica G.; Milliken, Tammi

    2016-01-01

    The authors addressed the lack of supervision training standards for doctoral counseling graduates by developing and validating an initial list of supervision competencies. They used content analysis, Delphi polling, and content validity methods to generate a list, vetted by 2 different panels of supervision experts, of 33 competencies grouped…

  10. Does Live Supervision Make a Difference? A Multilevel Analysis

    Science.gov (United States)

    Silverthorn, Brandon C.; Bartle-Haring, Suzanne; Meyer, Kevin; Toviessi, Paula

    2009-01-01

    While the benefit of live supervision on clinical training is largely unquestioned, research that examines how live supervision affects the therapeutic process is lacking. Although marriage and family therapy has embraced this method of supervision, there is little empirical evidence suggesting it "works." This study uses hierarchical linear…

  11. A swarm-trained k-nearest prototypes adaptive classifier with automatic feature selection for interval data.

    Science.gov (United States)

    Silva Filho, Telmo M; Souza, Renata M C R; Prudêncio, Ricardo B C

    2016-08-01

    Some complex data types are capable of modeling data variability and imprecision. These data types are studied in the symbolic data analysis field. One such data type is interval data, which represents ranges of values and is more versatile than classic point data for many domains. This paper proposes a new prototype-based classifier for interval data, trained by a swarm optimization method. Our work has two main contributions: a swarm method which is capable of performing both automatic selection of features and pruning of unused prototypes and a generalized weighted squared Euclidean distance for interval data. By discarding unnecessary features and prototypes, the proposed algorithm deals with typical limitations of prototype-based methods, such as the problem of prototype initialization. The proposed distance is useful for learning classes in interval datasets with different shapes, sizes and structures. When compared to other prototype-based methods, the proposed method achieves lower error rates in both synthetic and real interval datasets. PMID:27152933

  12. Target Localization in Wireless Sensor Networks Using Online Semi-Supervised Support Vector Regression

    Directory of Open Access Journals (Sweden)

    Jaehyun Yoo

    2015-05-01

    Full Text Available Machine learning has been successfully used for target localization in wireless sensor networks (WSNs due to its accurate and robust estimation against highly nonlinear and noisy sensor measurement. For efficient and adaptive learning, this paper introduces online semi-supervised support vector regression (OSS-SVR. The first advantage of the proposed algorithm is that, based on semi-supervised learning framework, it can reduce the requirement on the amount of the labeled training data, maintaining accurate estimation. Second, with an extension to online learning, the proposed OSS-SVR automatically tracks changes of the system to be learned, such as varied noise characteristics. We compare the proposed algorithm with semi-supervised manifold learning, an online Gaussian process and online semi-supervised colocalization. The algorithms are evaluated for estimating the unknown location of a mobile robot in a WSN. The experimental results show that the proposed algorithm is more accurate under the smaller amount of labeled training data and is robust to varying noise. Moreover, the suggested algorithm performs fast computation, maintaining the best localization performance in comparison with the other methods.

  13. Security system signal supervision

    International Nuclear Information System (INIS)

    This purpose of this NUREG is to present technical information that should be useful to NRC licensees for understanding and applying line supervision techniques to security communication links. A review of security communication links is followed by detailed discussions of link physical protection and DC/AC static supervision and dynamic supervision techniques. Material is also presented on security for atmospheric transmission and video line supervision. A glossary of security communication line supervision terms is appended. 16 figs

  14. Literature mining of protein-residue associations with graph rules learned through distant supervision

    Directory of Open Access Journals (Sweden)

    Ravikumar KE

    2012-10-01

    Full Text Available Abstract Background We propose a method for automatic extraction of protein-specific residue mentions from the biomedical literature. The method searches text for mentions of amino acids at specific sequence positions and attempts to correctly associate each mention with a protein also named in the text. The methods presented in this work will enable improved protein functional site extraction from articles, ultimately supporting protein function prediction. Our method made use of linguistic patterns for identifying the amino acid residue mentions in text. Further, we applied an automated graph-based method to learn syntactic patterns corresponding to protein-residue pairs mentioned in the text. We finally present an approach to automated construction of relevant training and test data using the distant supervision model. Results The performance of the method was assessed by extracting protein-residue relations from a new automatically generated test set of sentences containing high confidence examples found using distant supervision. It achieved a F-measure of 0.84 on automatically created silver corpus and 0.79 on a manually annotated gold data set for this task, outperforming previous methods. Conclusions The primary contributions of this work are to (1 demonstrate the effectiveness of distant supervision for automatic creation of training data for protein-residue relation extraction, substantially reducing the effort and time involved in manual annotation of a data set and (2 show that the graph-based relation extraction approach we used generalizes well to the problem of protein-residue association extraction. This work paves the way towards effective extraction of protein functional residues from the literature.

  15. A walking programme and a supervised exercise class versus usual physiotherapy for chronic low back pain: a single-blinded randomised controlled trial. (The Supervised Walking In comparison to Fitness Training for Back Pain (SWIFT) Trial).

    LENUS (Irish Health Repository)

    Hurley, Deirdre A

    2009-01-01

    BACKGROUND: Chronic low back pain (CLBP) is a persistent disabling condition with rising significant healthcare, social and economic costs. Current research supports the use of exercise-based treatment approaches that encourage people with CLBP to assume a physically active role in their recovery. While international clinical guidelines and systematic reviews for CLBP support supervised group exercise as an attractive first-line option for treating large numbers of CLBP patients at low cost, barriers to their delivery include space and time restrictions in healthcare settings and poor patient attendance. The European Clinical Guidelines have identified the need for research in the use of brief\\/minimal contact self-activation interventions that encourage participation in physical activity for CLBP. Walking may be an ideally suited form of individualized exercise prescription as it is easy to do, requires no special skills or facilities, and is achievable by virtually all ages with little risk of injury, but its effectiveness for LBP is unproven. METHODS AND DESIGN: This study will be an assessor-blinded randomized controlled trial that will investigate the difference in clinical effectiveness and costs of an individualized walking programme and a supervised general exercise programme compared to usual physiotherapy, which will act as the control group, in people with chronic low back pain. A sample of 246 patients will be recruited in Dublin, Ireland through acute general hospital outpatient physiotherapy departments that provide treatment for people with CLBP. Patients will be randomly allocated to one of the three groups in a concealed manner. The main outcomes will be functional disability, pain, quality of life, fear avoidance, back beliefs, physical activity, satisfaction and costs, which will be evaluated at baseline, and 3, 6 and 12 months [follow-up by pre-paid postage]. Qualitative telephone interviews and focus groups will be embedded in the research

  16. A walking programme and a supervised exercise class versus usual physiotherapy for chronic low back pain: a single-blinded randomised controlled trial. (The Supervised Walking In comparison to Fitness Training for Back Pain (SWIFT Trial

    Directory of Open Access Journals (Sweden)

    Daly Leslie

    2009-07-01

    Full Text Available Abstract Background Chronic low back pain (CLBP is a persistent disabling condition with rising significant healthcare, social and economic costs. Current research supports the use of exercise-based treatment approaches that encourage people with CLBP to assume a physically active role in their recovery. While international clinical guidelines and systematic reviews for CLBP support supervised group exercise as an attractive first-line option for treating large numbers of CLBP patients at low cost, barriers to their delivery include space and time restrictions in healthcare settings and poor patient attendance. The European Clinical Guidelines have identified the need for research in the use of brief/minimal contact self-activation interventions that encourage participation in physical activity for CLBP. Walking may be an ideally suited form of individualized exercise prescription as it is easy to do, requires no special skills or facilities, and is achievable by virtually all ages with little risk of injury, but its effectiveness for LBP is unproven. Methods and design This study will be an assessor-blinded randomized controlled trial that will investigate the difference in clinical effectiveness and costs of an individualized walking programme and a supervised general exercise programme compared to usual physiotherapy, which will act as the control group, in people with chronic low back pain. A sample of 246 patients will be recruited in Dublin, Ireland through acute general hospital outpatient physiotherapy departments that provide treatment for people with CLBP. Patients will be randomly allocated to one of the three groups in a concealed manner. The main outcomes will be functional disability, pain, quality of life, fear avoidance, back beliefs, physical activity, satisfaction and costs, which will be evaluated at baseline, and 3, 6 and 12 months [follow-up by pre-paid postage]. Qualitative telephone interviews and focus groups will be

  17. Supervised detection of anomalous light-curves in massive astronomical catalogs

    CERN Document Server

    nun, Isadora; Protopapas, Pavlos; Kim, Dae-Won

    2014-01-01

    The development of synoptic sky surveys has led to a massive amount of data for which resources needed for analysis are beyond human capabilities. To process this information and to extract all possible knowledge, machine learning techniques become necessary. Here we present a new method to automatically discover unknown variable objects in large astronomical catalogs. With the aim of taking full advantage of all the information we have about known objects, our method is based on a supervised algorithm. In particular, we train a random forest classifier using known variability classes of objects and obtain votes for each of the objects in the training set. We then model this voting distribution with a Bayesian network and obtain the joint voting distribution among the training objects. Consequently, an unknown object is considered as an outlier insofar it has a low joint probability. Our method is suitable for exploring massive datasets given that the training process is performed offline. We tested our algor...

  18. Online semi-supervised growing neural gas.

    Science.gov (United States)

    Beyer, Oliver; Cimiano, Philipp

    2012-10-01

    In this paper we introduce online semi-supervised growing neural gas (OSSGNG), a novel online semi-supervised classification approach based on growing neural gas (GNG). Existing semi-supervised classification approaches based on GNG require that the training data is explicitly stored as the labeling is performed a posteriori after the training phase. As main contribution, we present an approach that relies on online labeling and prediction functions to process labeled and unlabeled data uniformly and in an online fashion, without the need to store any of the training examples explicitly. We show that using on-the-fly labeling strategies does not significantly deteriorate the performance of classifiers based on GNG, while circumventing the need to explicitly store training examples. Armed with this result, we then present a semi-supervised extension of GNG (OSSGNG) that relies on the above mentioned online labeling functions to label unlabeled examples and incorporate them into the model on-the-fly. As an important result, we show that OSSGNG performs as good as previous semi-supervised extensions of GNG which rely on offline labeling strategies. We also show that OSSGNG compares favorably to other state-of-the-art semi-supervised learning approaches on standard benchmarking datasets. PMID:22992211

  19. Supervised Mineral Classification with Semi-automatic Training and Validation Set Generation in Scanning Electron Microscope Energy Dispersive Spectroscopy Images of Thin Sections

    DEFF Research Database (Denmark)

    Flesche, Harald; Nielsen, Allan Aasbjerg; Larsen, Rasmus

    2000-01-01

    This paper addresses the problem of classifying minerals common in siliciclastic and carbonate rocks. Twelve chemical elements are mapped from thin sections by energy dispersive spectroscopy in a scanning electron microscope (SEM). Extensions to traditional multivariate statistical methods are...... mean. Spatial closeness is obtained by requesting connectivity. Second, class consistency is controlled by forcing each class into 5–10 subclasses and checking the separability of these subclasses by means of canonical discriminant analysis. Third, class separability is checked by means of the Jeffreys...

  20. Supervision as Metaphor

    Science.gov (United States)

    Lee, Alison; Green, Bill

    2009-01-01

    This article takes up the question of the language within which discussion of research degree supervision is couched and framed, and the consequences of such framings for supervision as a field of pedagogical practice. It examines the proliferation and intensity of metaphor, allegory and allusion in the language of candidature and supervision,…

  1. 导师制对本科生培养的作用和意义%The Role and Significance of Supervision System in the Training of Undergraduates

    Institute of Scientific and Technical Information of China (English)

    符水龙

    2001-01-01

    In modern universities, graduates are all directed by theirsupervisors. But it is very rare for undergraduates to be supervised as graduates. Based on the experience obtained from directing juniors in the secondary lab-class, the significance and influence of this kind of education is investigated. It shows that supervision system of undergraduates is the main constituent of mental education and management system; it develops the teaching method effectively as well as enhancing the secondary practice-class. Supervision system of undergraduates shows advanced approach in improving the qualities of the university undergraduates.%在高等院校,硕士生、博士生的培养一般实行导师制,而本科生的培养采用导师制的比较鲜见。在本科生导师制试点的基础上,重点对导师制在本科生培养中的作用和意义进行了论述:导师制是学生思想政治教育和管理体制的重要组成部分;导师制能有效促进当前习惯的教学模式的改革和完善;导师制是开展第二课堂活动的好制度。高等学校在本科生培养中有条件广泛实行导师制,应重视推广这一制度。

  2. 关系抽取中基于本体的远监督样本扩充%Extending Training Set in Distant Supervision by Ontology for Relation Extraction

    Institute of Scientific and Technical Information of China (English)

    欧阳丹彤; 瞿剑峰; 叶育鑫

    2014-01-01

    Distant supervision is a suitable method for relation extraction in big data. It provides a large amount of sample data by aligning relation instances in knowledge base with nature sentences in corpus. In this paper, a new method of distant supervision with expansion of ontology-based sampling is investigated to address the difficulty of extracting relations from sparse training data. First, an ontology which has a deep link with relation extraction is sought through the definition of cover ratio and volume ratio. Second, some relation instances are added by ontology reasoning and examples of queries. Finally, the expansion of training sets is completed by aligning the new relation instances and nature sentences in corpus. The experiment shows that the presented method is capable of extracting some relations whose training sets are weak, a task impossible by the normal distant supervision method.%远监督学习是适合大数据下关系抽取任务的一种学习算法。它通过对齐知识库中的关系实例和文本集中的自然语句,为学习算法提供大规模样本数据。利用本体进行关系实例的自动扩充,用于解决基于远监督学习的关系抽取任务中部分待抽取关系的实例匮乏问题。该方法首先通过定义关系覆盖率和公理容积率,来寻找与关系抽取任务关联性大的本体;然后,借助本体推理中的实例查询增加待抽取关系下的关系实例;最后,通过对齐新增关系实例和文本集中的自然语句,达到扩充样本的效果。实验结果表明:基于本体的远监督学习样本扩充方法能够有效完成样本匮乏的关系抽取任务,进一步提升远监督学习方法在大数据环境下的关系抽取能力。

  3. Disciplinary supervision following ethics complaints: goals, tasks, and ethical dimensions.

    Science.gov (United States)

    Thomas, Janet T

    2014-11-01

    Clinical supervision is considered an integral component of the training of psychologists, and most of the professional literature is focused on this type of supervision. But psychologists also may supervise fully credentialed colleagues in other circumstances. One such context occurs when licensing boards mandate supervision as part of a disciplinary order. When supervision is provided in disciplinary cases, there are significant implications for the ethical dimensions of the supervisory relationship and concomitant ethical challenges for supervisors. Not only are the goals, objectives, and supervisory tasks of disciplinary supervision distinct from other types of supervision, but the supervisor's ethical responsibilities also encompass unique dimensions. Competence, informed consent, boundaries, confidentiality, and documentation are examined. Recommendations for reports to licensing boards include a statement of the clinical or ethical problems instigating discipline, description of how these problems have been addressed, and an assessment of the supervisee's current practices and ability to perform competently.

  4. Evidence of the effectiveness of supervision in health institutions

    Directory of Open Access Journals (Sweden)

    Ivan Ambrosiano

    2014-09-01

    Full Text Available In this article an experience of a group supervision with care workers of a rest house is presented. The concepts of on-the-job training and supervision are discussed. Moreover, the phases of the intervention are described underlying their technical aspects and the goals to be reached. Finally, it is presented and discussed the evidence of the effectiveness of the intervention, measured with both quantitative and qualitative methods.Keywords: Supervision, Socio-medical institutions, Effectiveness

  5. The necessity analysis of supervision and administration on waste from Beijing -Kowloon through train%京九直通列车(T98次)废弃物监督管理必要性分析

    Institute of Scientific and Technical Information of China (English)

    曹永斌; 刘振春; 朱家林; 许匡

    2015-01-01

    京九直通车是来往于北京和香港九龙之间的国际列车,全程距离2475公里,约需运行24小时。近年来,京九直通车(T98次)废弃物发生量呈持续增长趋势,主要包括厨余垃圾、生活垃圾等种类。京九直通车(T98次)废弃物的检疫监管工作总体情况良好,但也存在着终末处置不规范、从业人员操作不严格、协作机制不成熟、监管模式不统一等问题。这些问题增加了国际间传染病的传播风险和控制难度,导致动物传染病、寄生虫病和植物危险性病、虫、杂草以及其他有害生物传入,影响我国农、林、牧、渔业生产和人民身体健康,阻碍了我国对外经济贸易的健康发展。因此,出入境检验检疫机构对此应特别予以重视,采取有效措施改善现存废弃物检疫监管问题,建立详实具体、科学有效的入境列车废弃物监督管理模式。%Abtract Beijing -Kowloon through train is operated for about 24 hours between Beijing and Hongkong,with a to-tal distance of 2475km.The waste produced by the incoming passengers in the Beijing -Kowloon through train (T98)has increased continually in recent years,including garbage such as kitchen garbage and household gar-bage.The quarantine,supervision and administration of the waste from Beijing -Kowloon through train are worked very well in general,but there are also some problems such as de -normalized terminal disposal,less -stringent manual operation,immature coordination mechanism and inconsistent supervision patterns.The above problems raise a risk and heighten the control difficulty of infectious diseases from spreading into or out of the country,resul-ting in parasitic diseases of animals,insect pests and weeds dangerous to plants,and other harmful organisms from spreading into or out of the country,having an effect on the production of agriculture,forestry,animal husbandry and fishery as well as human health

  6. Supervisor training

    DEFF Research Database (Denmark)

    Pedersen, Inge Nygaard

    2015-01-01

    This article fills a gap in knowledge about supervisor training programmes in the field of music therapy in Europe. Sparse research exists which demonstrates evidence of effective professional supervision upon the outcome of music therapy clinical practice. The article has its focus on the experi......This article fills a gap in knowledge about supervisor training programmes in the field of music therapy in Europe. Sparse research exists which demonstrates evidence of effective professional supervision upon the outcome of music therapy clinical practice. The article has its focus...... on the experience of an integrated supervisor training programme offered in Aalborg, Denmark in 2009/2010. In this programme general issues of professional supervision and the application of artistic media as a core element in the supervisory process were Integrated. It is the hope of the author that this article...... will inspire other music therapists to develop supervisor training programmes for professional music therapists and also to undertake further research into professional supervision....

  7. Semi-supervised sparse coding

    KAUST Repository

    Wang, Jim Jing-Yan

    2014-07-06

    Sparse coding approximates the data sample as a sparse linear combination of some basic codewords and uses the sparse codes as new presentations. In this paper, we investigate learning discriminative sparse codes by sparse coding in a semi-supervised manner, where only a few training samples are labeled. By using the manifold structure spanned by the data set of both labeled and unlabeled samples and the constraints provided by the labels of the labeled samples, we learn the variable class labels for all the samples. Furthermore, to improve the discriminative ability of the learned sparse codes, we assume that the class labels could be predicted from the sparse codes directly using a linear classifier. By solving the codebook, sparse codes, class labels and classifier parameters simultaneously in a unified objective function, we develop a semi-supervised sparse coding algorithm. Experiments on two real-world pattern recognition problems demonstrate the advantage of the proposed methods over supervised sparse coding methods on partially labeled data sets.

  8. Partially supervised speaker clustering.

    Science.gov (United States)

    Tang, Hao; Chu, Stephen Mingyu; Hasegawa-Johnson, Mark; Huang, Thomas S

    2012-05-01

    Content-based multimedia indexing, retrieval, and processing as well as multimedia databases demand the structuring of the media content (image, audio, video, text, etc.), one significant goal being to associate the identity of the content to the individual segments of the signals. In this paper, we specifically address the problem of speaker clustering, the task of assigning every speech utterance in an audio stream to its speaker. We offer a complete treatment to the idea of partially supervised speaker clustering, which refers to the use of our prior knowledge of speakers in general to assist the unsupervised speaker clustering process. By means of an independent training data set, we encode the prior knowledge at the various stages of the speaker clustering pipeline via 1) learning a speaker-discriminative acoustic feature transformation, 2) learning a universal speaker prior model, and 3) learning a discriminative speaker subspace, or equivalently, a speaker-discriminative distance metric. We study the directional scattering property of the Gaussian mixture model (GMM) mean supervector representation of utterances in the high-dimensional space, and advocate exploiting this property by using the cosine distance metric instead of the euclidean distance metric for speaker clustering in the GMM mean supervector space. We propose to perform discriminant analysis based on the cosine distance metric, which leads to a novel distance metric learning algorithm—linear spherical discriminant analysis (LSDA). We show that the proposed LSDA formulation can be systematically solved within the elegant graph embedding general dimensionality reduction framework. Our speaker clustering experiments on the GALE database clearly indicate that 1) our speaker clustering methods based on the GMM mean supervector representation and vector-based distance metrics outperform traditional speaker clustering methods based on the “bag of acoustic features” representation and statistical

  9. Experiments in Virtual Supervision.

    Science.gov (United States)

    Walker, Rob

    This paper examines the use of First Class conferencing software to create a virtual culture among research students and as a vehicle for supervision and advising. Topics discussed include: computer-mediated communication and research; entry to cyberculture, i.e., research students' induction into the research community; supervision and the…

  10. Forskellighed i supervision

    DEFF Research Database (Denmark)

    Petersen, Birgitte; Beck, Emma

    2009-01-01

    Indtryk og tendenser fra den anden danske konference om supervision, som blev holdt på Københavns Universitet i oktober 2008......Indtryk og tendenser fra den anden danske konference om supervision, som blev holdt på Københavns Universitet i oktober 2008...

  11. Networks of Professional Supervision

    Science.gov (United States)

    Annan, Jean; Ryba, Ken

    2013-01-01

    An ecological analysis of the supervisory activity of 31 New Zealand school psychologists examined simultaneously the theories of school psychology, supervision practices, and the contextual qualities that mediated participants' supervisory actions. The findings indicated that the school psychologists worked to achieve the supervision goals of…

  12. Magazine Picture Collage in Group Supervision

    Science.gov (United States)

    Shepard, Blythe C.; Guenette, Francis L.

    2010-01-01

    A magazine picture collage activity was used with three female counsellor education students as a vehicle to support them in processing their experience as counsellors in training. The use of magazine picture collage in group supervision is described, and the benefits and challenges are presented. The collages served as jumping-off points for…

  13. Semi-supervised classification of emotional pictures based on feature combination

    Science.gov (United States)

    Li, Shuo; Zhang, Yu-Jin

    2011-02-01

    Can the abundant emotions reflected in pictures be classified automatically by computer? Only the visual features extracted from images are considered in the previous researches, which have the constrained capability to reveal various emotions. In addition, the training database utilized by previous methods is the subset of International Affective Picture System (IAPS) that has a relatively small scale, which exerts negative effects on the discrimination of emotion classifiers. To solve the above problems, this paper proposes a novel and practical emotional picture classification approach, using semi-supervised learning scheme with both visual feature and keyword tag information. Besides the IAPS with both emotion labels and keyword tags as part of the training dataset, nearly 2000 pictures with only keyword tags that are downloaded from the website Flickr form an auxiliary training dataset. The visual feature of the latent emotional semantic factors is extracted by probabilistic Latent Semantic Analysis (pLSA) model, while the text feature is described by binary vectors on the tag vocabulary. A first Linear Programming Boost (LPBoost) classifier which is trained on the samples from IAPS combines the above two features, and aims to label the other training samples from the internet. Then the second SVM classifier which is trained on all training images using only visual feature, focuses on the test images. In the experiment, the categorization performance of our approach is better than the latest methods.

  14. Review on Methods of Train Running Automatic Adjustment in Transit%城市轨道交通列车运行自动调整研究方法综述

    Institute of Scientific and Technical Information of China (English)

    徐冬

    2015-01-01

    基于城市轨道交通列车运行自动调整的概念和必要性,介绍实现列车运行自动调整的基本思路:时刻表调整和行车间隔调整。并结合国内外学者的研究成果,对目前存在的列车运行自动调整研究方法进行分析,为列车运行自动调整问题的建模和算法实现提供参考。%Based on the concept and necessity of train operation automatic adjustment in urban rail transit, the paper introduces the basic idea for the realization of train operation automatic adjustment, time schedule adjustment and train running interval adjustment. By taking into consideration of the study done by some scholars at home and abroad, the paper makes analysis on the research methods for existing automatic train operation adjustment, and provides references for the modeling and algorithm of train operation automatic adjustment.

  15. Supervised Learning in Multilayer Spiking Neural Networks

    CERN Document Server

    Sporea, Ioana

    2012-01-01

    The current article introduces a supervised learning algorithm for multilayer spiking neural networks. The algorithm presented here overcomes some limitations of existing learning algorithms as it can be applied to neurons firing multiple spikes and it can in principle be applied to any linearisable neuron model. The algorithm is applied successfully to various benchmarks, such as the XOR problem and the Iris data set, as well as complex classifications problems. The simulations also show the flexibility of this supervised learning algorithm which permits different encodings of the spike timing patterns, including precise spike trains encoding.

  16. 纪检监察干部教育培训:价值导向与现实路径%Education and Training for Discipline Inspection and Supervision Cadres:Value Orientation and Practical Paths

    Institute of Scientific and Technical Information of China (English)

    宫铭; 王希鹏

    2015-01-01

    To enhance the education and training for discipline inspection and supervision cadres, we should focus on its edu-cation functions which can help them set up and consolidate Party spirit, interpret and renew knowledge and skills, and restore and guide the value pursuit. Currently, in the field, the work of education and training is hard to institutionalize;the resource of education is lack of equalization; the content of education is hard to systematize; and it is hard to find a quantitative method to evaluate the effects of training and education. The present situation urges us to form a joint force though the methods, such as management system perfection, discipline construction, course setting optimization and methods innovation.%加强纪检监察干部教育培训,必须注重发挥教育培训的党性观念的树立与巩固功能、知识技能的解释与创新功能、价值追求的重塑与引导功能。目前,纪检监察干部教育培训还存在教育培训工作难以系统化,教育资源分配难以均衡化,教育培训内容难以体系化,教育培训效果难以定量化的问题。要通过完善培训管理体制,推进学科建设,优化课程设置,创新方式方法,深化教学改革,逐步形成纪检监察教育培训工作合力,切实提高纪检监察干部监督执纪问责能力。

  17. Reflecting reflection in supervision

    DEFF Research Database (Denmark)

    Lystbæk, Christian Tang

    Reflection has moved from the margins to the mainstream in supervision. Notions of reflection have become well established since the late 1980s. These notions have provided useful framing devices to help conceptualize some important processes in guidance and counseling. However, some applications...... associated with reflection and an exploration of alternative conceptions that view reflection within the context of settings which have a more group- and team-based orientation. Drawing on an action research project on health care supervision, the paper questions whether we should reject earlier views...... of reflection, rehabilitate them in order to capture broader connotations or move to new ways of regarding reflection that are more in keeping with not only reflective but also emotive, normative and formative views on supervision. The paper presents a critical perspective on supervision that challenge...

  18. Supervision af psykoterapi

    DEFF Research Database (Denmark)

    SUPERVISION AF PSYKOTERAPI indtager en central position i uddannelsen og udviklingen af psykoterapeuter. Trods flere lighedspunkter med psykoterapi, undervisning og konsultation er psykoterapisupervision et selvstændigt virksomhedsområde. Supervisor må foruden at være en trænet psykoterapeut kende...... supervisionens rammer og indplacering i forhold til organisation og samfund. En række kapitler drejer sig om supervisors opgaver, roller og kontrolfunktion, supervision set fra supervisandens perspektiv samt betragtninger over relationer og processer i supervision. Der drøftes fordele og ulemper ved de...... forskellige måder, hvorpå en sag kan fremlægges. Bogens første del afsluttes med refleksioner over de etiske aspekter ved psykoterapisupervision. Bogens anden del handler om de særlige forhold, der gør sig gældende ved supervision af en række specialiserede behandlingsformer eller af psykoterapi med bestemte...

  19. Psykoterapi og supervision

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard

    2014-01-01

    Kapitlet beskriver supervisionen funktioner i forhold til psykoterapi. Supervision af psykoterapi henviser i almindelighed til, at en psykoterapeut konsulterer en ofte mere erfaren kollega (supervisor) med henblik på drøftelse af et konkret igangværende psykoterapeutisk behandlingsforløb. Formålet...... er at fremme denne fagpersons (psykoterapeutens) faglige udvikling samt sikre kvaliteten af behandlingen.kan defineres som i. Der redegøres for, hvorfor supervision er vigtig del af psykoterapeutens profession samt vises, hvorledes supervision foruden den faglige udvikling også er vigtigt redskab i...... psykoterapiens kvalitetssikring. Efter at have drøftet nogle etiske forhold ved supervision, fremlægges endelig nogle få forskningsresultater vedr. psykoterapisupervision af danske psykologer....

  20. Clinical Supervision in Denmark

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard

    Data fra den danske undersøgelse af psykoterapeuters faglige udvikling indsamlet ved hjælp af DPCCQ. Oplægget fokuserer på supervision (modtaget, givet, uddannelse i) blandt danske psykoterapeutiske arbejdende psykologer....

  1. Social networks in supervision

    DEFF Research Database (Denmark)

    Lystbæk, Christian Tang

    and practice have focused on conceptual frameworks and practical techniques of promoting reflection through conversation in general and questioning in particular. However, in recent years, supervision research has started to focus on the social and technological aspects of supervision. This calls...... for alternative conceptual frameworks and practical approaches. In this paper, I argue that supervision can be seen as actor-networks where participants and participation are ordered in time and space and where there are configurations of the human and non-human in supervision practice(s). In ANT a network...... and space. That involves mobilised an denrolled actos, both animate and inanimate (e.g. books, computers, etc. Actor-network theory defines a symmetry between animate and inanimate, i.e. subjects and objects, because ”human powers increasingly derive from the complex interconnections if human with material...

  2. A Novel Co-training Ob ject Tracking Algorithm Based on Online Semi-supervised Boosting%基于在线半监督boosting的协同训练目标跟踪算法

    Institute of Scientific and Technical Information of China (English)

    陈思; 苏松志; 李绍滋; 吕艳萍; 曹冬林

    2014-01-01

    The self-training based discriminative tracking methods use the classification results to update the classifier itself. However, these methods easily suffer from the drifting issue because the classification errors are accumulated during tracking. To overcome the disadvantages of self-training based tracking methods, a novel co-training tracking algorithm, termed Co-SemiBoost, is proposed based on online semi-supervised boosting. The proposed algorithm employs a new online co-training framework, where unlabeled samples are used to collaboratively train the classifiers respectively built on two feature views. Moreover, the pseudo-labels and weights of unlabeled samples are iteratively predicted by combining the decisions of a prior model and an online classifier. The proposed algorithm can effectively improve the discriminative ability of the classifier, and is robust to occlusions, illumination changes, etc. Thus the algorithm can better adapt to object appearance changes. Experimental results on several challenging video sequences show that the proposed algorithm achieves promising tracking performance.%基于自训练的判别式目标跟踪算法使用分类器的预测结果更新分类器自身,容易累积分类错误,从而导致漂移问题。为了克服自训练跟踪算法的不足,该文提出一种基于在线半监督boosting的协同训练目标跟踪算法(简称Co-SemiBoost),其采用一种新的在线协同训练框架,利用未标记样本协同训练两个特征视图中的分类器,同时结合先验模型和在线分类器迭代预测未标记样本的类标记和权重。该算法能够有效提高分类器的判别能力,鲁棒地处理遮挡、光照变化等问题,从而较好地适应目标外观的变化。在若干个视频序列的实验结果表明,该算法具有良好的跟踪性能。

  3. Counselor Supervision: A Consumer's Guide.

    Science.gov (United States)

    Yager, Geoffrey G.; Littrell, John M.

    This guide attempts to solve problems caused when a certain designated "brand" of supervision is forced on the counselor trainee with neither choice nor checklist of important criteria. As a tentative start on a guide to supervision the paper offers the following: a definition of supervision; a summary of the various types of supervision; a…

  4. Two Approaches to Clinical Supervision.

    Science.gov (United States)

    Anderson, Eugene M.

    Criteria are established for a definition of "clinical supervision" and the effectiveness of such supervisory programs in a student teaching context are considered. Two differing genres of clinical supervision are constructed: "supervision by pattern analysis" is contrasted with "supervision by performance objectives." An outline of procedural…

  5. Effects of non-supervised low intensity aerobic excise training on the microvascular endothelial function of patients with type 1 diabetes: a non-pharmacological interventional study

    OpenAIRE

    de Moraes, Roger; Van Bavel, Diogo; Gomes, Marília de Brito; Tibiriçá, Eduardo

    2016-01-01

    Background The aim of the present study was to evaluate changes in microvascular density and reactivity in patients with type 1 diabetes (T1D) resulting from low intensity chronic exercise training. Methods This study included 22 (34 ± 7 years) consecutive outpatients with T1D and disease duration > 6 years. We used intravital video-microscopy to measure basal skin capillary density and capillary recruitment using post-occlusive reactive hyperemia (PORH) in the dorsum of the fingers. Endothel...

  6. Multi-Instance Learning from Supervised View

    Institute of Scientific and Technical Information of China (English)

    Zhi-Hua Zhou

    2006-01-01

    In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances,and the task is to predict the labels of unseen bags. This paper studies multi-instance learning from the view of supervised learning. First, by analyzing some representative learning algorithms, this paper shows that multi-instance learners can be derived from supervised learners by shifting their focuses from the discrimination on the instances to the discrimination on the bags. Second, considering that ensemble learning paradigms can effectively enhance supervised learners, this paper proposes to build multi-instance ensembles to solve multi-instance problems. Experiments on a real-world benchmark test show that ensemble learning paradigms can significantly enhance multi-instance learners.

  7. A Framework for Supervision for Mindfulness-Based Teachers: a Space for Embodied Mutual Inquiry

    OpenAIRE

    Evans, Alison; Crane, Rebecca; Cooper, Lucinda; Mardula, Jody; Wilks, Jenny; Surawy, Christina; Kenny, Maura; Kuyken, Willem

    2014-01-01

    Over recent decades, there has been an exponential growth in mindfulness-based interventions (MBIs). To disseminate MBIs with fidelity, care needs to be taken with the training and supervision of MBI teachers. A wealth of literature exists describing the process and practice of supervision in a range of clinical approaches, but, as of yet, little consideration has been given to how this can best be applied to the supervision of MBI teachers. This paper articulates a framework for supervision ...

  8. EMS response to mass casualty incidents : the critical importance of automatic statewide mutual aid and MCI training

    OpenAIRE

    HILL, CHERYL

    2008-01-01

    CHDS State/Local Incidence of natural and man-made disasters are increasing and expanding in scope. While these events may cause mass injuries, the pre-hospital emergency medical services (EMS) community is left out of the preparedness equation by virtue of being underrepresented on planning committees, not privy to disaster training, nor on the receiving end of preparedness funding. Additionally, for many states, outside standard mutual aid agreements a disaster declaration is require...

  9. An Ensemble-Based Training Data Refinement for Automatic Crop Discrimination Using WorldView-2 Imagery

    DEFF Research Database (Denmark)

    Chellasamy, Menaka; Ferre, Ty Paul; Greve, Mogens Humlekrog

    2015-01-01

    operates based on two assumptions: 1) mislabels in each class will be far from their cluster centroid and 2) each crop class based on the available vector data has more correctly labeled samples than mislabeled samples. Three datasets, derived from bitemporal WorldView-2 multispectral imagery, are used...... the multievidence classification approach. The study is implemented with WorldView-2 imagery acquired for a study area in Denmark containing 15 crop classes. The multievidence classification approach with ECRA-based refinement is compared with the classification based on common training sample selection methods...

  10. Collective academic supervision

    DEFF Research Database (Denmark)

    Nordentoft, Helle Merete; Thomsen, Rie; Wichmann-Hansen, Gitte

    2013-01-01

    are interconnected. Collective Academic Supervision provides possibilities for systematic interaction between individual master students in their writing process. In this process they learn core academic competencies, such as the ability to assess theoretical and practical problems in their practice and present them...... process. This article fills these gaps by discussing potentials and challenges in “Collective Academic Supervision”, a model for supervision at the Master of Education in Guidance at Aarhus University in Denmark. The pedagogical rationale behind the model is that students’ participation and learning...

  11. Automatically building large-scale named entity recognition corpora from Chinese Wikipedia

    Institute of Scientific and Technical Information of China (English)

    Jie ZHOU; Bi-cheng LI; Gang CHEN

    2015-01-01

    Named entity recognition (NER) is a core component in many natural language processing applications. Most NER systems rely on supervised machine learning methods, which depend on time-consuming and expensive annotations in different languages and domains. This paper presents a method for automatically building silver-standard NER corpora from Chinese Wikipedia. We refine novel and language-dependent features by exploiting the text and structure of Chinese Wikipedia. To reduce tagging errors caused by entity classification, we design four types of heuristic rules based on the characteristics of Chinese Wikipedia and train a supervised NE classifier, and a combined method is used to improve the precision and coverage. Then, we realize type identification of implicit mention by using boundary information of outgoing links. By selecting the sentences related with the domains of test data, we can train better NER models. In the experiments, large-scale NER corpora containing 2.3 million sentences are built from Chinese Wikipedia. The results show the effectiveness of automatically annotated corpora, and the trained NER models achieve the best performance when combining our silver-standard corpora with gold-standard corpora.

  12. Data Selection for Semi-Supervised Learning

    Directory of Open Access Journals (Sweden)

    Shafigh Parsazad

    2012-03-01

    Full Text Available The real challenge in pattern recognition task and machine learning process is to train a discriminator using labeled data and use it to distinguish between future data as accurate as possible. However, most of the problems in the real world have numerous data, which labeling them is a cumbersome or even an impossible matter. Semi-supervised learning is one approach to overcome these types of problems. It uses only a small set of labeled with the company of huge remain and unlabeled data to train the discriminator. In semi-supervised learning, it is very essential that which data is labeled and depend on position of data it effectiveness changes. In this paper, we proposed an evolutionary approach called Artificial Immune System (AIS to determine which data is better to be labeled to get the high quality data. The experimental results represent the effectiveness of this algorithm in finding these data points.

  13. The Supervised Learning Gaussian Mixture Model

    Institute of Scientific and Technical Information of China (English)

    马继涌; 高文

    1998-01-01

    The traditional Gaussian Mixture Model(GMM)for pattern recognition is an unsupervised learning method.The parameters in the model are derived only by the training samples in one class without taking into account the effect of sample distributions of other classes,hence,its recognition accuracy is not ideal sometimes.This paper introduces an approach for estimating the parameters in GMM in a supervising way.The Supervised Learning Gaussian Mixture Model(SLGMM)improves the recognition accuracy of the GMM.An experimental example has shown its effectiveness.The experimental results have shown that the recognition accuracy derived by the approach is higher than those obtained by the Vector Quantization(VQ)approach,the Radial Basis Function (RBF) network model,the Learning Vector Quantization (LVQ) approach and the GMM.In addition,the training time of the approach is less than that of Multilayer Perceptrom(MLP).

  14. TU-C-17A-03: An Integrated Contour Evaluation Software Tool Using Supervised Pattern Recognition for Radiotherapy

    International Nuclear Information System (INIS)

    Purpose: Radiotherapy (RT) contours delineated either manually or semiautomatically require verification before clinical usage. Manual evaluation is very time consuming. A new integrated software tool using supervised pattern contour recognition was thus developed to facilitate this process. Methods: The contouring tool was developed using an object-oriented programming language C# and application programming interfaces, e.g. visualization toolkit (VTK). The C# language served as the tool design basis. The Accord.Net scientific computing libraries were utilized for the required statistical data processing and pattern recognition, while the VTK was used to build and render 3-D mesh models from critical RT structures in real-time and 360° visualization. Principal component analysis (PCA) was used for system self-updating geometry variations of normal structures based on physician-approved RT contours as a training dataset. The inhouse design of supervised PCA-based contour recognition method was used for automatically evaluating contour normality/abnormality. The function for reporting the contour evaluation results was implemented by using C# and Windows Form Designer. Results: The software input was RT simulation images and RT structures from commercial clinical treatment planning systems. Several abilities were demonstrated: automatic assessment of RT contours, file loading/saving of various modality medical images and RT contours, and generation/visualization of 3-D images and anatomical models. Moreover, it supported the 360° rendering of the RT structures in a multi-slice view, which allows physicians to visually check and edit abnormally contoured structures. Conclusion: This new software integrates the supervised learning framework with image processing and graphical visualization modules for RT contour verification. This tool has great potential for facilitating treatment planning with the assistance of an automatic contour evaluation module in avoiding

  15. Supervised Ensemble Classification of Kepler Variable Stars

    CERN Document Server

    Bass, Gideon

    2016-01-01

    Variable star analysis and classification is an important task in the understanding of stellar features and processes. While historically classifications have been done manually by highly skilled experts, the recent and rapid expansion in the quantity and quality of data has demanded new techniques, most notably automatic classification through supervised machine learning. We present an expansion of existing work on the field by analyzing variable stars in the {\\em Kepler} field using an ensemble approach, combining multiple characterization and classification techniques to produce improved classification rates. Classifications for each of the roughly 150,000 stars observed by {\\em Kepler} are produced separating the stars into one of 14 variable star classes.

  16. Automatic detection of lung nodules in computed tomography images: training and validation of algorithms using public research databases

    Science.gov (United States)

    Camarlinghi, Niccolò

    2013-09-01

    Lung cancer is one of the main public health issues in developed countries. Lung cancer typically manifests itself as non-calcified pulmonary nodules that can be detected reading lung Computed Tomography (CT) images. To assist radiologists in reading images, researchers started, a decade ago, the development of Computer Aided Detection (CAD) methods capable of detecting lung nodules. In this work, a CAD composed of two CAD subprocedures is presented: , devoted to the identification of parenchymal nodules, and , devoted to the identification of the nodules attached to the pleura surface. Both CADs are an upgrade of two methods previously presented as Voxel Based Neural Approach CAD . The novelty of this paper consists in the massive training using the public research Lung International Database Consortium (LIDC) database and on the implementation of new features for classification with respect to the original VBNA method. Finally, the proposed CAD is blindly validated on the ANODE09 dataset. The result of the validation is a score of 0.393, which corresponds to the average sensitivity of the CAD computed at seven predefined false positive rates: 1/8, 1/4, 1/2, 1, 2, 4, and 8 FP/CT.

  17. Supervision and group dynamics

    DEFF Research Database (Denmark)

    Hansen, Søren; Jensen, Lars Peter

    2004-01-01

    that many students are having difficulties with practical issues such as collaboration, communication, and project management. Most supervisors either ignore this demand, because they do not find it important or they find it frustrating, because they do not know, how to supervise group dynamics...

  18. Kontraktetablering i supervision

    DEFF Research Database (Denmark)

    Mortensen, Karen Vibeke; Jacobsen, Claus Haugaard

    2007-01-01

    Kapitlet behandler kontraktetablering i supervision, et element, der ofte er blevet negligeret eller endog helt forbigået ved indledningen af supervisionsforløb. Sikre aftaler om emner som tid, sted, procedurer for fremlæggelse, fortrolighed, ansvarsfordeling og evaluering skaber imidlertid tryghed...

  19. Man-machine supervision

    International Nuclear Information System (INIS)

    Today's complexity of systems where man is involved has led to the development of more and more sophisticated information processing systems where decision making has become more and more difficult. The operator task has moved from operation to supervision and the production tool has become indissociable from its numerical instrumentation and control system. The integration of more and more numerous and sophisticated control indicators in the control room does not necessary fulfill the expectations of the operation team. It is preferable to develop cooperative information systems which are real situation understanding aids. The stake is not the automation of operators' cognitive tasks but the supply of a reasoning help. One of the challenges of interactive information systems is the selection, organisation and dynamical display of information. The efficiency of the whole man-machine system depends on the communication interface efficiency. This article presents the principles and specificities of man-machine supervision systems: 1 - principle: operator's role in control room, operator and automation, monitoring and diagnosis, characteristics of useful models for supervision; 2 - qualitative reasoning: origin, trends, evolutions; 3 - causal reasoning: causality, causal graph representation, causal and diagnostic graph; 4 - multi-points of view reasoning: multi flow modeling method, Sagace method; 5 - approximate reasoning: the symbolic numerical interface, the multi-criteria decision; 6 - example of application: supervision in a spent-fuel reprocessing facility. (J.S.)

  20. Clinical Supervision in Denmark

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard

    2011-01-01

    on giving and receiving clinical supervision as reported by therapists in Denmark. Method: Currently, the Danish sample consists of 350 clinical psychologist doing psychotherapy who completed DPCCQ. Data are currently being prepared for statistical analysis. Results: This paper will focus primarily...

  1. Researching online supervision

    DEFF Research Database (Denmark)

    Bengtsen, Søren S. E.; Mathiasen, Helle

    2014-01-01

    us to research the digital tools on their own premises as autonomous things in themselves, possessing an ontological creativity of their own. In order for qualitative research to match the ontological nature of digital tools we conclude the article by formulating three criteria of a ‘torn......’ methodology that makes room for new approaches to researching online supervision at the university....

  2. Supervising the Reading Clinician.

    Science.gov (United States)

    Ridout, Susan Ramp; Bailey, Kevin Sue

    Designed for graduate students supervising undergraduate work in a reading clinic, this practicum manual provides guidelines and materials needed for the graduate section of the Reading Practicum (Methods of Teaching Reading II) at Indiana University Southeast. In addition to the syllabus, which includes course description and objectives, course…

  3. Distributed semi-supervised support vector machines.

    Science.gov (United States)

    Scardapane, Simone; Fierimonte, Roberto; Di Lorenzo, Paolo; Panella, Massimo; Uncini, Aurelio

    2016-08-01

    The semi-supervised support vector machine (S(3)VM) is a well-known algorithm for performing semi-supervised inference under the large margin principle. In this paper, we are interested in the problem of training a S(3)VM when the labeled and unlabeled samples are distributed over a network of interconnected agents. In particular, the aim is to design a distributed training protocol over networks, where communication is restricted only to neighboring agents and no coordinating authority is present. Using a standard relaxation of the original S(3)VM, we formulate the training problem as the distributed minimization of a non-convex social cost function. To find a (stationary) solution in a distributed manner, we employ two different strategies: (i) a distributed gradient descent algorithm; (ii) a recently developed framework for In-Network Nonconvex Optimization (NEXT), which is based on successive convexifications of the original problem, interleaved by state diffusion steps. Our experimental results show that the proposed distributed algorithms have comparable performance with respect to a centralized implementation, while highlighting the pros and cons of the proposed solutions. To the date, this is the first work that paves the way toward the broad field of distributed semi-supervised learning over networks. PMID:27179615

  4. 自动步枪激光模拟射击系统%Automatic Rifle Shooting Training System by Stimulation of Laser

    Institute of Scientific and Technical Information of China (English)

    黄建军; 余建华; 将明; 徐耀宗

    2001-01-01

    介绍一种自动步枪激光模拟射击系统,它具有弹着点实时显示、实时语音报靶及成绩统计等功能,射击精度高,电脑显示弹着点与实际位置误差小于2mm;为射击训练提供一种安全、高效、仿真(使用空包弹)激光模拟射击训练系统。%Automatic rifle shooting system by simulation of laser is presented in this paper, it can display the impact point in the screen at real time,also sound the result and direction to the shooter it has a high accuracy,the difference between the display of impact point and the spot of laser is less than 2 mm. It is safe,efficient and simulating(using blank cartridge) shooting training system by simulation of laser for new soldiers.

  5. Automatic sequences

    CERN Document Server

    Haeseler, Friedrich

    2003-01-01

    Automatic sequences are sequences which are produced by a finite automaton. Although they are not random they may look as being random. They are complicated, in the sense of not being not ultimately periodic, they may look rather complicated, in the sense that it may not be easy to name the rule by which the sequence is generated, however there exists a rule which generates the sequence. The concept automatic sequences has special applications in algebra, number theory, finite automata and formal languages, combinatorics on words. The text deals with different aspects of automatic sequences, in particular:· a general introduction to automatic sequences· the basic (combinatorial) properties of automatic sequences· the algebraic approach to automatic sequences· geometric objects related to automatic sequences.

  6. Object Detection Using Strongly-Supervised Deformable Part Models

    OpenAIRE

    Azizpour, Hossein; Laptev, Ivan

    2012-01-01

    International audience Deformable part-based models [1, 2] achieve state-of-the-art performance for object detection, but rely on heuristic initialization during training due to the optimization of non-convex cost function. This paper investigates limitations of such an initialization and extends earlier methods using additional supervision. We explore strong supervision in terms of annotated object parts and use it to (i) improve model initialization, (ii) optimize model structure, and (i...

  7. Lateral Connections in Denoising Autoencoders Support Supervised Learning

    OpenAIRE

    Rasmus, Antti; Valpola, Harri; Raiko, Tapani

    2015-01-01

    We show how a deep denoising autoencoder with lateral connections can be used as an auxiliary unsupervised learning task to support supervised learning. The proposed model is trained to minimize simultaneously the sum of supervised and unsupervised cost functions by back-propagation, avoiding the need for layer-wise pretraining. It improves the state of the art significantly in the permutation-invariant MNIST classification task.

  8. Novice Supervisors' Understandings of Supervision.

    Science.gov (United States)

    Waite, Duncan

    Findings of a study that examined novice supervisors' understandings of supervision are presented in this paper. Data were collected from 110 graduate-level students enrolled in an introductory supervision class. Four themes emerged from students' definitions of supervision-domains, relationships, traits, and tasks. The most surprising finding was…

  9. Supervision: In Retrospect and Prospect.

    Science.gov (United States)

    Irvine, Freeman R., Jr.

    This literature review presents a concise chronology of supervision as it evolved on the American scene. It is emphasized that supervision has a unique definition for each user. Supervision in America evolved out of a basic school pattern inherited from the European school system. The early definition and concept of this position was vague. The…

  10. Supervised detection of anomalous light curves in massive astronomical catalogs

    Energy Technology Data Exchange (ETDEWEB)

    Nun, Isadora; Pichara, Karim [Computer Science Department, Pontificia Universidad Católica de Chile, Santiago (Chile); Protopapas, Pavlos [Institute for Applied Computational Science, Harvard University, Cambridge, MA (United States); Kim, Dae-Won [Max-Planck Institute for Astronomy, Königstuhl 17, D-69117 Heidelberg (Germany)

    2014-09-20

    The development of synoptic sky surveys has led to a massive amount of data for which resources needed for analysis are beyond human capabilities. In order to process this information and to extract all possible knowledge, machine learning techniques become necessary. Here we present a new methodology to automatically discover unknown variable objects in large astronomical catalogs. With the aim of taking full advantage of all information we have about known objects, our method is based on a supervised algorithm. In particular, we train a random forest classifier using known variability classes of objects and obtain votes for each of the objects in the training set. We then model this voting distribution with a Bayesian network and obtain the joint voting distribution among the training objects. Consequently, an unknown object is considered as an outlier insofar it has a low joint probability. By leaving out one of the classes on the training set, we perform a validity test and show that when the random forest classifier attempts to classify unknown light curves (the class left out), it votes with an unusual distribution among the classes. This rare voting is detected by the Bayesian network and expressed as a low joint probability. Our method is suitable for exploring massive data sets given that the training process is performed offline. We tested our algorithm on 20 million light curves from the MACHO catalog and generated a list of anomalous candidates. After analysis, we divided the candidates into two main classes of outliers: artifacts and intrinsic outliers. Artifacts were principally due to air mass variation, seasonal variation, bad calibration, or instrumental errors and were consequently removed from our outlier list and added to the training set. After retraining, we selected about 4000 objects, which we passed to a post-analysis stage by performing a cross-match with all publicly available catalogs. Within these candidates we identified certain known

  11. Ethics in education supervision

    Directory of Open Access Journals (Sweden)

    Fatma ÖZMEN

    2008-06-01

    Full Text Available Supervision in education plays a crucial role in attaining educational goals. In addition to determining the present situation, it has a theoretical and practical function regarding the actions to be taken in general and the achievement of teacher development in particular to meet the educational goals in the most effective way. For the education supervisors to act ethically in their tasks while achieving this vital mission shall facilitate them to build up trust, to enhance the level of collaboration and sharing, thus it shall contribute to organizational effectiveness. Ethics is an essential component of educational supervision. Yet, it demonstrates rather vague quality due to the conditions, persons, and situations. Therefore, it is a difficult process to develop the ethical standards in institutions. This study aims to clarify the concept of ethics, to bring up its importance, and to make recommendations for more effective supervisions from the aspect of ethics, based on the literature review, some research results, and sample cases reported by teachers and supervisors.

  12. Situação do estágio supervisionado em IES privadas da grande São Paulo Supervised period of training on the private universities of São Paulo and cities of the region

    Directory of Open Access Journals (Sweden)

    Sheila Aparecida Pereira dos Santos Silva

    2010-09-01

    Full Text Available Com o objetivo de diagnosticar a dinâmica da supervisão dos estágios em cursos de Graduação e Licenciatura em Educação Física após a publicação das Resoluções CNE/CP nº 01 e 02/2002, nº 07/2004 e nº 02/2007 e verificar sua aplicação, foram entrevistados sete docentes universitários, que orientam estágios curriculares em seis Instituições de Ensino Superior (IES privadas da Grande São Paulo. A entrevista, semi-estruturada, contou com sete questões abertas abrangendo a dinâmica dos estágios, carga horária, número de orientadores por aluno orientado, entre outros aspectos. Para o tratamento dos dados, foi utilizada a técnica de análise de conteúdo. Em todas as instituições pesquisadas o estágio é exigido a partir da metade do curso; existiam projetos de pesquisa e extensão que eram validados como horas/estágio e contemplavam uma disciplina destinada aos estágios, à exceção de uma delas. As horas de estágio a cumprir variaram entre 324 a 540 horas. Existiam diferenças significativas em relação ao número de orientandos por orientador, variando de 5 a 200 alunos por orientador. Em apenas uma IES ocorriam discussões sobre os relatórios apresentados. Percebeu-se a inexistência de uniformidade entre as instituições pesquisadas e, em algumas, a ausência de discussões a respeito dos estágios evidencia que as IES pouco se comprometem com a qualidade dessa experiência no processo de formação profissional e que, talvez, normas legais mais específicas sobre número máximo de alunos orientados por orientador pudessem colaborar para que esse problema fosse minimizadoWith the objective to make a diagnosis the dynamics of the supervision of the periods of training in courses of Graduation in Physical Education after the publication of Resolutions CNE/CP nº 01 and 02/2002, nº 07/2004 and nº 02/2007 and to verify its application, had been interviewed seven university professors, who guide curricular

  13. Form Follows Function: A Model for Clinical Supervision of Genetic Counseling Students.

    Science.gov (United States)

    Wherley, Colleen; Veach, Patricia McCarthy; Martyr, Meredith A; LeRoy, Bonnie S

    2015-10-01

    Supervision plays a vital role in genetic counselor training, yet models describing genetic counseling supervision processes and outcomes are lacking. This paper describes a proposed supervision model intended to provide a framework to promote comprehensive and consistent clinical supervision training for genetic counseling students. Based on the principle "form follows function," the model reflects and reinforces McCarthy Veach et al.'s empirically derived model of genetic counseling practice - the "Reciprocal Engagement Model" (REM). The REM consists of mutually interactive educational, relational, and psychosocial components. The Reciprocal Engagement Model of Supervision (REM-S) has similar components and corresponding tenets, goals, and outcomes. The 5 REM-S tenets are: Learning and applying genetic information are key; Relationship is integral to genetic counseling supervision; Student autonomy must be supported; Students are capable; and Student emotions matter. The REM-S outcomes are: Student understands and applies information to independently provide effective services, develop professionally, and engage in self-reflective practice. The 16 REM-S goals are informed by the REM of genetic counseling practice and supported by prior literature. A review of models in medicine and psychology confirms the REM-S contains supervision elements common in healthcare fields, while remaining unique to genetic counseling. The REM-S shows promise for enhancing genetic counselor supervision training and practice and for promoting research on clinical supervision. The REM-S is presented in detail along with specific examples and training and research suggestions.

  14. Automatic goals and conscious regulation in social cognitive affective neuroscience

    OpenAIRE

    Sripada, Chandra; Swain, John D.; Ho, S. Shaun; Swain, James E.

    2014-01-01

    The Selfish Goal model challenges traditional agentic models that place conscious systems at the helm of motivation. We highlight the need for ongoing supervision and intervention of automatic goals by higher-order conscious systems with examples from social cognitive affective neuroscience. We contend that interplay between automatic and supervisory systems is required for adaptive human behavior.

  15. Identification of Village Building via Google Earth Images and Supervised Machine Learning Methods

    Directory of Open Access Journals (Sweden)

    Zhiling Guo

    2016-03-01

    Full Text Available In this study, a method based on supervised machine learning is proposed to identify village buildings from open high-resolution remote sensing images. We select Google Earth (GE RGB images to perform the classification in order to examine its suitability for village mapping, and investigate the feasibility of using machine learning methods to provide automatic classification in such fields. By analyzing the characteristics of GE images, we design different features on the basis of two kinds of supervised machine learning methods for classification: adaptive boosting (AdaBoost and convolutional neural networks (CNN. To recognize village buildings via their color and texture information, the RGB color features and a large number of Haar-like features in a local window are utilized in the AdaBoost method; with multilayer trained networks based on gradient descent algorithms and back propagation, CNN perform the identification by mining deeper information from buildings and their neighborhood. Experimental results from the testing area at Savannakhet province in Laos show that our proposed AdaBoost method achieves an overall accuracy of 96.22% and the CNN method is also competitive with an overall accuracy of 96.30%.

  16. Research on System Simulation Platform of Moving-Block Automatic Train Protection%移动闭塞列车自动防护系统仿真平台研究

    Institute of Scientific and Technical Information of China (English)

    孙永生; 张友鹏; 赵宇坤

    2012-01-01

    Optimization of train protection system was studied. Automatic train protection system should ensure train operation safety, optimize and control the speeds and time intervals of trains, and increase the line capacity in Moving-block train control system. Therefore, establishment of simulation platform of Moving-block automatic train protection system was proposed to track the Mpving-block train operation, forecast running strategy in the next stage, and control the train to track the intervals safely and in real-time. Through the establishment of models of minimum train safe track interval, the simulation platform can monitor the train running. After the analysis of train operation simulation under different conditions, the results indicate that the protection system of the simulation platform can guarantee the safe of train operation.%研究列车防护系统优化问题,列车自动防护系统应在移动闭塞列控系统中保证行车安全,对列车运行的速度和时间间隔应进行优化控制,提高线路运力.为此提出建立移动闭塞列车自动防护系统仿真平台,实现对移动闭塞列车的运行进行追踪,预测列车下一阶段的运行策略,并对列车的安全追踪间隔进行实时控制.通过建立列车最小安全追踪间隔模型,使仿真平台实现了列车运行安全监控功能.经过对不同条件下列车的运行进行仿真分析,结果表明,仿真平台的防护系统能够保证列车的运行安全.

  17. Clinical supervision of psychotherapy: essential ethics issues for supervisors and supervisees.

    Science.gov (United States)

    Barnett, Jeffrey E; Molzon, Corey H

    2014-11-01

    Clinical supervision is an essential aspect of every mental health professional's training. The importance of ensuring that supervision is provided competently, ethically, and legally is explained. The elements of the ethical practice of supervision are described and explained. Specific issues addressed include informed consent and the supervision contract, supervisor and supervisee competence, attention to issues of diversity and multicultural competence, boundaries and multiple relationships in the supervision relationship, documentation and record keeping by both supervisor and supervisee, evaluation and feedback, self-care and the ongoing promotion of wellness, emergency coverage, and the ending of the supervision relationship. Additionally, the role of clinical supervisor as mentor, professional role model, and gatekeeper for the profession are discussed. Specific recommendations are provided for ethically and effectively conducting the supervision relationship and for addressing commonly arising dilemmas that supervisors and supervisees may confront.

  18. Online Supervised Subspace Tracking

    OpenAIRE

    Xie, Yao; Song, Ruiyang; Dai, Hanjun; Li, Qingbin; Song, Le

    2015-01-01

    We present a framework for supervised subspace tracking, when there are two time series $x_t$ and $y_t$, one being the high-dimensional predictors and the other being the response variables and the subspace tracking needs to take into consideration of both sequences. It extends the classic online subspace tracking work which can be viewed as tracking of $x_t$ only. Our online sufficient dimensionality reduction (OSDR) is a meta-algorithm that can be applied to various cases including linear r...

  19. 车辆段/停车场增设全自动运行功能的分析%Analysis of Automatic Train Operation Function of Depot and Parking Yard

    Institute of Scientific and Technical Information of China (English)

    黄志红

    2015-01-01

    基于目前车辆段/停车场的联锁控制方案,对车辆段/停车场作业的需求分析,通过在车辆段/停车场配置全自动运行区域,列车在该区域具备CBTC级别下的ATP/ATO功能以及ATS监控功能,并能够以ATO自动完成进出段/场的运行功能。%Based on the current interlocking control scheme for depot and parking yard, the paper makes analysis of the train operation requirements in depot and parking yard. With the arrangement of automatic train operation area in depot and parking yard, and trains acquire ATP/ATO function of CBTC level and ATS function, the trains with ATO can automatically running in and out depot and parking yard.

  20. Group supervision for general practitioners

    DEFF Research Database (Denmark)

    Galina Nielsen, Helena; Sofie Davidsen, Annette; Dalsted, Rikke;

    2013-01-01

    considered important prerequisites for disclosing and discussing professional problems. CONCLUSION: The results of this study indicate that participation in a supervision group can be beneficial for maintaining and developing GPs' skills in dealing with patients with mental health problems. Group supervision...... participation in a supervision group to be a meaningful and professionally valuable activity. They experienced that supervision had improved their psychiatric skills, and that they had become more confident in carrying out talking therapies. Improvements in referral letters were also reported in relation...... to the communication with local community psychiatry centres. Furthermore, the GPs experienced that supervision had a positive 'spill-over effect' on everyday consultations, and that the supervision group became a forum for coping with other difficulties in their professional life as well. Trust and continuity were...

  1. Incentives, Supervision, and Sharecropper Productivity

    OpenAIRE

    Jacoby, Hanan G.; Mansuri, Ghazala

    2009-01-01

    Though sharecropping remains widespread, its determinants are still poorly understood and the debate over the extent of moral hazard is far from settled. We address both issues by analyzing the role of landlord supervision. When landlords vary in their cost of supervision, otherwise identical share-tenants can have different productivity. Unique data on monitoring frequency collected from share-tenants in rural Pakistan confirms that, controlling for selection, 'supervised' tenants are signif...

  2. Learning Dynamics in Doctoral Supervision

    DEFF Research Database (Denmark)

    Kobayashi, Sofie

    investigates learning opportunities in supervision with multiple supervisors. This was investigated through observations and recording of supervision, and subsequent analysis of transcripts. The analyses used different perspectives on learning; learning as participation, positioning theory and variation theory....... The research illuminates how learning opportunities are created in the interaction through the scientific discussions. It also shows how multiple supervisors can contribute to supervision by providing new perspectives and opinions that have a potential for creating new understandings. The combination...... of different theoretical frameworks from the perspectives of learning as individual acquisition and a sociocultural perspective on learning contributed to a nuanced illustration of the otherwise implicit practices of supervision....

  3. AN EXPERIMENT IN PSYCHOTHERAPY TRAINING

    OpenAIRE

    Tharyan, Anna

    2000-01-01

    Group supervision was initiated in order to meet the training needs of psychiatric postgraduates. The experience of the group was surveyed at the end of one year. It was found that the use of groups as an adjunct to individual supervision was an eminently practical and acceptable method of facilitating training, accessing peer group support and auditing clinical care.

  4. Semi-supervised SVM for individual tree crown species classification

    Science.gov (United States)

    Dalponte, Michele; Ene, Liviu Theodor; Marconcini, Mattia; Gobakken, Terje; Næsset, Erik

    2015-12-01

    In this paper a novel semi-supervised SVM classifier is presented, specifically developed for tree species classification at individual tree crown (ITC) level. In ITC tree species classification, all the pixels belonging to an ITC should have the same label. This assumption is used in the learning of the proposed semi-supervised SVM classifier (ITC-S3VM). This method exploits the information contained in the unlabeled ITC samples in order to improve the classification accuracy of a standard SVM. The ITC-S3VM method can be easily implemented using freely available software libraries. The datasets used in this study include hyperspectral imagery and laser scanning data acquired over two boreal forest areas characterized by the presence of three information classes (Pine, Spruce, and Broadleaves). The experimental results quantify the effectiveness of the proposed approach, which provides classification accuracies significantly higher (from 2% to above 27%) than those obtained by the standard supervised SVM and by a state-of-the-art semi-supervised SVM (S3VM). Particularly, by reducing the number of training samples (i.e. from 100% to 25%, and from 100% to 5% for the two datasets, respectively) the proposed method still exhibits results comparable to the ones of a supervised SVM trained with the full available training set. This property of the method makes it particularly suitable for practical forest inventory applications in which collection of in situ information can be very expensive both in terms of cost and time.

  5. Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments.

    Science.gov (United States)

    Han, Wenjing; Coutinho, Eduardo; Ruan, Huabin; Li, Haifeng; Schuller, Björn; Yu, Xiaojie; Zhu, Xuan

    2016-01-01

    Coping with scarcity of labeled data is a common problem in sound classification tasks. Approaches for classifying sounds are commonly based on supervised learning algorithms, which require labeled data which is often scarce and leads to models that do not generalize well. In this paper, we make an efficient combination of confidence-based Active Learning and Self-Training with the aim of minimizing the need for human annotation for sound classification model training. The proposed method pre-processes the instances that are ready for labeling by calculating their classifier confidence scores, and then delivers the candidates with lower scores to human annotators, and those with high scores are automatically labeled by the machine. We demonstrate the feasibility and efficacy of this method in two practical scenarios: pool-based and stream-based processing. Extensive experimental results indicate that our approach requires significantly less labeled instances to reach the same performance in both scenarios compared to Passive Learning, Active Learning and Self-Training. A reduction of 52.2% in human labeled instances is achieved in both of the pool-based and stream-based scenarios on a sound classification task considering 16,930 sound instances. PMID:27627768

  6. Semi-Supervised Active Learning for Sound Classification in Hybrid Learning Environments

    Science.gov (United States)

    Han, Wenjing; Coutinho, Eduardo; Li, Haifeng; Schuller, Björn; Yu, Xiaojie; Zhu, Xuan

    2016-01-01

    Coping with scarcity of labeled data is a common problem in sound classification tasks. Approaches for classifying sounds are commonly based on supervised learning algorithms, which require labeled data which is often scarce and leads to models that do not generalize well. In this paper, we make an efficient combination of confidence-based Active Learning and Self-Training with the aim of minimizing the need for human annotation for sound classification model training. The proposed method pre-processes the instances that are ready for labeling by calculating their classifier confidence scores, and then delivers the candidates with lower scores to human annotators, and those with high scores are automatically labeled by the machine. We demonstrate the feasibility and efficacy of this method in two practical scenarios: pool-based and stream-based processing. Extensive experimental results indicate that our approach requires significantly less labeled instances to reach the same performance in both scenarios compared to Passive Learning, Active Learning and Self-Training. A reduction of 52.2% in human labeled instances is achieved in both of the pool-based and stream-based scenarios on a sound classification task considering 16,930 sound instances. PMID:27627768

  7. Motivation techniques for supervision

    Science.gov (United States)

    Gray, N. D.

    1974-01-01

    Guide has been published which deals with various aspects of employee motivation. Training methods are designed to improve communication between supervisors and subordinates, to create feeling of achievement and recognition for every employee, and to retain personnel confidence in spite of some negative motivators. End result of training is reduction or prevention of errors.

  8. Exploring Clinical Supervision as Instrument for Effective Teacher Supervision

    Science.gov (United States)

    Ibara, E. C.

    2013-01-01

    This paper examines clinical supervision approaches that have the potential to promote and implement effective teacher supervision in Nigeria. The various approaches have been analysed based on the conceptual framework of instructional supervisory behavior. The findings suggest that a clear distinction can be made between the prescriptive and…

  9. Public Supervision over Private Relationships : Towards European Supervision Private Law?

    NARCIS (Netherlands)

    Cherednychenko, O.O.

    2014-01-01

    The rise of public supervision over private relationships in many areas of private law has led to the development of what, in the author’s view, could be called ‘European supervision private law’. This emerging body of law forms part of European regulatory private law and is made up of contract-rela

  10. Supervising PETE Candidates Using the Situational Supervision Model

    Science.gov (United States)

    Levy, Linda S.; Johnson, Lynn V.

    2012-01-01

    Physical education teacher candidates (PETCs) often, as part of their curricular requirements, engage in early field experiences that prepare them for student teaching. Matching the PETC's developmental level with the mentor's supervision style enhances this experience. The situational supervision model, based on the situational leadership model,…

  11. Evaluation of a Supervised Learning Approach for Stock Market Operations

    OpenAIRE

    Lauretto, Marcelo S; Silva, Barbara B. C.; Andrade, Pablo M.

    2013-01-01

    Data mining methods have been widely applied in financial markets, with the purpose of providing suitable tools for prices forecasting and automatic trading. Particularly, learning methods aim to identify patterns in time series and, based on such patterns, to recommend buy/sell operations. The objective of this work is to evaluate the performance of Random Forests, a supervised learning method based on ensembles of decision trees, for decision support in stock markets. Preliminary results in...

  12. WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks

    OpenAIRE

    Durand, Thibaut; Thome, Nicolas; Cord, Matthieu

    2016-01-01

    International audience In this paper, we introduce a novel framework for WEakly supervised Learning of Deep cOnvolutional neu-ral Networks (WELDON). Our method is dedicated to automatically selecting relevant image regions from weak annotations , e.g. global image labels, and encompasses the following contributions. Firstly, WELDON leverages recent improvements on the Multiple Instance Learning paradigm, i.e. negative evidence scoring and top instance selection. Secondly, the deep CNN is t...

  13. Learning the semantic structure of objects from Web supervision

    OpenAIRE

    Novotny, David; Larlus, Diane; Vedaldi, Andrea

    2016-01-01

    While recent research in image understanding has often focused on recognizing more types of objects, understanding more about the objects is just as important. Recognizing object parts and attributes has been extensively studied before, yet learning large space of such concepts remains elusive due to the high cost of providing detailed object annotations for supervision. The key contribution of this paper is an algorithm to learn the nameable parts of objects automatically, from images obtain...

  14. Special Issue on Clinical Supervision: A Reflection

    Science.gov (United States)

    Bernard, Janine M.

    2010-01-01

    This special issue about clinical supervision offers an array of contributions with disparate insights into the supervision process. Using a synergy of supervision model, the articles are categorized as addressing the infrastructure required for adequate supervision, the relationship dynamics endemic to supervision, or the process of delivering…

  15. Late group-based rehabilitation has no advantages compared with supervised home-exercises after total knee arthroplasty

    DEFF Research Database (Denmark)

    Madsen, Majbritt; Larsen, Kristian; Madsen, Inger Kirkegård;

    2013-01-01

    This study aimed to test whether group-based rehabilitation focusing on strength training, education and self-management is more effective than individual, supervised home-training after fast-track total knee arthroplasty (TKA)....

  16. 46 CFR 109.323 - Manning of survival craft and supervision.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Manning of survival craft and supervision. 109.323 Section 109.323 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) A-MOBILE OFFSHORE... supervision. (a) There must be a sufficient number of trained persons on board the survival craft...

  17. Clinical Supervision in Alcohol and Drug Abuse Counseling: Principles, Models, Methods.

    Science.gov (United States)

    Powell, David J.

    A case is made for professionalism in clinical training as substance abuse counseling becomes a unique field. Part 1, "Principles," includes: (1) "A Historical Review of Supervision"; (2) "A Working Definition of Supervision"; (3) "Leadership Principles for Supervisors" and; (4) "Traits of an Effective Clinical Supervisor." Part 2, "Models,"…

  18. The supervisions in the field develop nuclear professionals; Las supervisiones en campo desarrollan profesionales nucleares

    Energy Technology Data Exchange (ETDEWEB)

    Fernandez de la Casa, M.; Buedo, J. L.; Gonzalez, F.

    2015-07-01

    In 2011 Cofrentes Nuclear Power Plants began a training program for improving the supervision of managers in the field: the effort done not only has improved the quality of supervisions but also has defined a way to reinforce behavior expectations of Cofrentes Nuclear Power Plant. (Author)

  19. Labeling of the cerebellar peduncles using a supervised Gaussian classifier with volumetric tract segmentation

    Science.gov (United States)

    Ye, Chuyang; Bazin, Pierre-Louis; Bogovic, John A.; Ying, Sarah H.; Prince, Jerry L.

    2012-02-01

    The cerebellar peduncles are white matter tracts that play an important role in the communication of the cerebellum with other regions of the brain. They can be grouped into three fiber bundles: inferior cerebellar peduncle middle cerebellar peduncle, and superior cerebellar peduncle. Their automatic segmentation on diffusion tensor images would enable a better understanding of the cerebellum and would be less time-consuming and more reproducible than manual delineation. This paper presents a method that automatically labels the three fiber bundles based on the segmentatin results from the diffusion oriented tract segmentation (DOTS) algorithm, which achieves volume segmentation of white matter tracts using a Markov random field (MRF) framework. We use the DOTS labeling result as a guide to determine the classification of fibers produced by wild bootstrap probabilistic tractography. Mean distances from each fiber to each DOTS volume label are defined and then used as features that contribute to classification. A supervised Gaussian classifier is employed to label the fibers. Manually delineated cerebellar peduncles serve as training data to determine the parameters of class probabilities for each label. Fibers are labeled ad the class that has the highest posterior probability. An outlier detection ste[ re,pves fober tracts that belong to noise of that are not modeled by DOTS. Experiments show a successful classification of the cerebellar peduncles. We have also compared results between successive scans to demonstrate the reproducibility of the proposed method.

  20. Unfinished Business: Subjectivity and Supervision

    Science.gov (United States)

    Green, Bill

    2005-01-01

    Within the now burgeoning literature on doctoral research education, postgraduate research supervision continues to be a problematical issue, practically and theoretically. This paper seeks to explore and understand supervision as a distinctive kind of pedagogic practice. Informed by a larger research project, it draws on poststructuralism,…

  1. Tværfaglig supervision

    DEFF Research Database (Denmark)

    Tværfaglig supervision dækker over supervision af forskellige faggrupper. Det er en kompleks disciplin der stiller store krav tl supervisor. Bogens første del præsenterer fire faglige supervisionsmodeller: En almen, en psykodynamisk, en kognitiv adfærdsterapeutisk og en narrativ. Anden del...

  2. Assessment of Counselors' Supervision Processes

    Science.gov (United States)

    Ünal, Ali; Sürücü, Abdullah; Yavuz, Mustafa

    2013-01-01

    The aim of this study is to investigate elementary and high school counselors' supervision processes and efficiency of their supervision. The interview method was used as it was thought to be better for realizing the aim of the study. The study group was composed of ten counselors who were chosen through purposeful sampling method. Data were…

  3. Supervisees' Perception of Clinical Supervision

    Science.gov (United States)

    Willis, Lisa

    2010-01-01

    Supervisors must become aware of the possible conflicts that could arise during clinical supervision. It is important that supervisors communicate their roles and expectations effectively with their supervisees. This paper supports the notion that supervision is a mutual agreement between the supervisee and the supervisor and the roles of…

  4. Indirect Instruments of Prudential Supervision

    Directory of Open Access Journals (Sweden)

    Nicolae Dardac

    2006-10-01

    Full Text Available The qualifying of supervision as “prudential” is used to differentiate it from other forms of supervision, which regards issues related to banking consumer protection. In order to achieve its goal, prudential supervision needs relevant information, provided mostly by the credit institutions their selves. Hence, the existence of a reporting system is essential, a system capable to insure, on the one hand, homogenity of the provided data and, on the other hand, its efficient processing. One indirect instrument which was used more and more during the last decade in banking supervision is represented by credit registers. The first system is directly associated either to the central bank or the supervision authority, and is, in most of cases, managed by the latter. The second system, the so called credit bureau, is mostly operated by private banks.

  5. Supervision Duty of School Principals

    Directory of Open Access Journals (Sweden)

    Kürşat YILMAZ

    2009-04-01

    Full Text Available Supervision by school administrators is becoming more and more important. The change in the roles ofschool administrators has a great effect on that increase. At present, school administrators are consideredmore than as technical directors, but as instructional leaders. This increased the importance of schooladministrators’ expected supervision acts. In this respect, the aim of this study is to make a conceptualanalysis about school administrators’ supervision duties. For this reason, a literature review related withsupervision and contemporary supervision approaches was done, and the official documents concerningsupervision were examined. As a result, it can be said that school administrators’ supervision duties havebecome very important. And these duties must certainly be carried out by school administrators.

  6. Generalization of Supervised Learning for Binary Mask Estimation

    DEFF Research Database (Denmark)

    May, Tobias; Gerkmann, Timo

    2014-01-01

    This paper addresses the problem of speech segregation by es- timating the ideal binary mask (IBM) from noisy speech. Two methods will be compared, one supervised learning approach that incorporates a priori knowledge about the feature distri- bution observed during training. The second method...

  7. Conjoint Supervision of Undergraduate Trainees Working with Eating Disorders Clients.

    Science.gov (United States)

    Lenihan, Genie O.; Kirk, William G.

    This paper describes a conjoint, collaborative training and supervision model designed for undergraduate psychology trainees. The Paraprofessional as Companion Therapist (PACT) program provides an internship experience for undergraduates who work directly as outpatient therapeutic companion-aides with university counseling center eating disorder…

  8. Improving the Development of Postgraduates' Research and Supervision

    Science.gov (United States)

    Ismail, Affero; Abiddin, Norhasni Zainal; Hassan, Aminuddin

    2011-01-01

    Research and supervision have become a vital process in the successful of postgraduate studies. Building an academic career path after Higher National Degree or Bachelor Degree needs intensive training and preparation. This culminates in writing of thesis or dissertation. In this process, the supervisor is designated to facilitate the student's…

  9. Primary Supervision: Massachusetts General Hospital's child and adolescent psychiatry seminar

    Science.gov (United States)

    Jellinek, Michael S.

    2007-01-01

    In this article, the author describes "Primary Supervision", a seminar he has led for approximately 20 years, which is designed for the entire class of nine first-year residents in Child and Adolescent Psychiatry training at Massachusetts General Hospital. The seminar meets for 1 hour each week throughout the first year. Through 900 hours of…

  10. SKYNET: an efficient and robust neural network training tool for machine learning in astronomy

    CERN Document Server

    Graff, Philip; Hobson, Michael P; Lasenby, Anthony N

    2013-01-01

    We present the first public release of our generic neural network training algorithm, called SKYNET. This efficient and robust machine-learning tool is able to train large and deep feed-forward neural networks, including autoencoders, for use in a wide range of supervised and unsupervised learning applications, such as regression, classification, density estimation, clustering and dimensionality reduction. SKYNET uses a powerful 'pre-training' method, to obtain a set of network parameters close to the true global maximum of the training objective function, followed by further optimisation using an automatically-regularised variant of Newton's method; the latter uses second-order derivative information to improve convergence, but without the need to evaluate or store the full Hessian matrix, by using a fast approximate method to calculate Hessian-vector products. This combination of methods allows for the training of complicated networks that are difficult to optimise using standard backpropagation techniques....

  11. Supervising community health workers in low-income countries – a review of impact and implementation issues

    Directory of Open Access Journals (Sweden)

    Zelee Hill

    2014-05-01

    Full Text Available Background: Community health workers (CHWs are an increasingly important component of health systems and programs. Despite the recognized role of supervision in ensuring CHWs are effective, supervision is often weak and under-supported. Little is known about what constitutes adequate supervision and how different supervision strategies influence performance, motivation, and retention. Objective: To determine the impact of supervision strategies used in low- and middle-income countries and discuss implementation and feasibility issues with a focus on CHWs. Design: A search of peer-reviewed, English language articles evaluating health provider supervision strategies was conducted through November 2013. Included articles evaluated the impact of supervision in low- or middle-income countries using a controlled, pre-/post- or observational design. Implementation and feasibility literature included both peer-reviewed and gray literature. Results: A total of 22 impact papers were identified. Papers were from a range of low- and middle-income countries addressing the supervision of a variety of health care providers. We classified interventions as testing supervision frequency, the supportive/facilitative supervision package, supervision mode (peer, group, and community, tools (self-assessment and checklists, focus (quality assurance/problem solving, and training. Outcomes included coverage, performance, and perception of quality but were not uniform across studies. Evidence suggests that improving supervision quality has a greater impact than increasing frequency of supervision alone. Supportive supervision packages, community monitoring, and quality improvement/problem-solving approaches show the most promise; however, evaluation of all strategies was weak. Conclusion: Few supervision strategies have been rigorously tested and data on CHW supervision is particularly sparse. This review highlights the diversity of supervision approaches that policy

  12. 国产兼容型列车超速防护系统车载设备研制%Development of Home-made Compatible on-board Automatic Train Protection Equipment

    Institute of Scientific and Technical Information of China (English)

    田文建; 张建明

    2009-01-01

    以北京地铁八通线列车超速防护(automatic train protection,ATP)系统车载设备研制为背景,对该车载设备需要完成的主要功能进行阐述,并对其控制模式、驾驶模式、速度测量、地面信息采集、系统安全性和可用性等进行分析,介绍设备的具体实现和应用情况.

  13. Learning to Detect Objects with Minimal Supervision

    OpenAIRE

    Ali, Karim

    2012-01-01

    Many classes of objects can now be successfully detected with statistical machine learning techniques. Faces, cars and pedestrians, have all been detected with low error rates by learning their appearance in a highly generic manner from extensive training sets. These recent advances have enabled the use of reliable object detection components in real systems, such as automatic face focusing functions on digital cameras. One key drawback of these metho...

  14. The Preparation and Supervision of Teachers of English as a Foreign Language in Thailand

    Science.gov (United States)

    Sagarik, Panninee

    1973-01-01

    Paper contributed as Thailand's Country Report to the Eighth Regional Seminar on "The Training and Supervision of Teachers of English as a Second or Foreign Language," July 3-7, 1973, Regional English Language Centre, Singapore. (HW)

  15. A semi-supervised support vector machine approach for parameter setting in motor imagery-based brain computer interfaces

    Science.gov (United States)

    Long, Jinyi; Yu, Zhuliang

    2010-01-01

    Parameter setting plays an important role for improving the performance of a brain computer interface (BCI). Currently, parameters (e.g. channels and frequency band) are often manually selected. It is time-consuming and not easy to obtain an optimal combination of parameters for a BCI. In this paper, motor imagery-based BCIs are considered, in which channels and frequency band are key parameters. First, a semi-supervised support vector machine algorithm is proposed for automatically selecting a set of channels with given frequency band. Next, this algorithm is extended for joint channel-frequency selection. In this approach, both training data with labels and test data without labels are used for training a classifier. Hence it can be used in small training data case. Finally, our algorithms are applied to a BCI competition data set. Our data analysis results show that these algorithms are effective for selection of frequency band and channels when the training data set is small. PMID:21886673

  16. Improving Semi-Supervised Learning with Auxiliary Deep Generative Models

    DEFF Research Database (Denmark)

    Maaløe, Lars; Sønderby, Casper Kaae; Sønderby, Søren Kaae;

    Deep generative models based upon continuous variational distributions parameterized by deep networks give state-of-the-art performance. In this paper we propose a framework for extending the latent representation with extra auxiliary variables in order to make the variational distribution more...... expressive for semi-supervised learning. By utilizing the stochasticity of the auxiliary variable we demonstrate how to train discriminative classifiers resulting in state-of-the-art performance within semi-supervised learning exemplified by an 0.96% error on MNIST using 100 labeled data points. Furthermore...

  17. A Saliency Guided Semi-Supervised Building Change Detection Method for High Resolution Remote Sensing Images.

    Science.gov (United States)

    Hou, Bin; Wang, Yunhong; Liu, Qingjie

    2016-01-01

    Characterizations of up to date information of the Earth's surface are an important application providing insights to urban planning, resources monitoring and environmental studies. A large number of change detection (CD) methods have been developed to solve them by utilizing remote sensing (RS) images. The advent of high resolution (HR) remote sensing images further provides challenges to traditional CD methods and opportunities to object-based CD methods. While several kinds of geospatial objects are recognized, this manuscript mainly focuses on buildings. Specifically, we propose a novel automatic approach combining pixel-based strategies with object-based ones for detecting building changes with HR remote sensing images. A multiresolution contextual morphological transformation called extended morphological attribute profiles (EMAPs) allows the extraction of geometrical features related to the structures within the scene at different scales. Pixel-based post-classification is executed on EMAPs using hierarchical fuzzy clustering. Subsequently, the hierarchical fuzzy frequency vector histograms are formed based on the image-objects acquired by simple linear iterative clustering (SLIC) segmentation. Then, saliency and morphological building index (MBI) extracted on difference images are used to generate a pseudo training set. Ultimately, object-based semi-supervised classification is implemented on this training set by applying random forest (RF). Most of the important changes are detected by the proposed method in our experiments. This study was checked for effectiveness using visual evaluation and numerical evaluation.

  18. Study on control algorithm for Automatic Train Operation based on neural network%基于神经网络的列车自动驾驶控制算法研究

    Institute of Scientific and Technical Information of China (English)

    费洋; 吴永城

    2014-01-01

    对列车自动驾驶系统的速度控制过程进行了分析,针对传统PID算法缺乏自适应能力的缺点,在传统神经网络算法的基础之上对神经元的学习算法作出改进,设计出了基于RBF网络辨识的单神经元自适应PID控制器,仿真结果表明该控制器能够满足列车自动驾驶系统速度控制要求。%The speed control process for Automatic Train Operation is analyzed, and as the traditional PID algorithm lacks adaptability, a single neuron adaptive PID controler based on RBF neural network is designed. The result of simulation shows that the controler can meet the speed control requirements for Automatic Train Operation.

  19. Online supervision at the university

    DEFF Research Database (Denmark)

    Bengtsen, Søren Smedegaard; Jensen, Gry Sandholm

    2015-01-01

    The article presents and condenses the background, findings and results of a one yearlong research project on online supervision and feedback at the university. The article builds on presentations and discussions in different research environments and conferences on higher education research...... and development (Bengtsen & Jensen 2013a; Bengtsen & Jensen 2013b; Jensen & Bengtsen 2014). Through an empirical study of supervision and feedback on student assignments at the university across face-to-face and online settings we show firstly, that the traditional dichotomy between face-to- face and online...... supervision proves unhelpful when trying to understand how online supervision and feedback is a pedagogical phenomenon in its own right, and irreducible to the face-to-face context. Secondly we show that not enough attention has been given to the way different digital tools and platforms influence...

  20. Trade Supervision Adjustment in 2012

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    China revised its supervision policies on import and export trades again, with 13 notices approved by related government ministries and administrations as well as 15 catalogues of import and export licenses being involved.

  1. Construction supervision in construction project

    OpenAIRE

    Struna, Ervin

    2012-01-01

    Every construction project is a unique, complex process. Every completed structure is permanent act into space, and has therefore substantial influence upon social and natural environment. As a consequence, it is essential to provide professional supervision of the construction process that will ensure conformity of the construction with the project documentation and the building permit. The purpose of the thesis is to present the role of the construction supervision and the work of the s...

  2. Automatic Train Supervision (ATS) System of CASCO%卡斯柯信号有限公司研发全套列车自动监控(ATS)系统

    Institute of Scientific and Technical Information of China (English)

    陈杰

    2005-01-01

    城市轨道交通的车站站场简单、站间距离近、运行密度高、运行模式单一等,而铁路站场复杂,客货混运,作业方式复杂。因此,城市轨道交通对设备的要求及运营管理的方式与铁路系统存在很大的差别,其信号系统必然有所差异。

  3. 32 CFR 727.11 - Supervision.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 5 2010-07-01 2010-07-01 false Supervision. 727.11 Section 727.11 National... Supervision. The Judge Advocate General will exercise supervision over all legal assistance activities in the Department of the Navy. Subject to the supervision of the Judge Advocate General, officers in charge of...

  4. General collaboration offer of Johnson Controls regarding the performance of air conditioning automatic control systems and other buildings` automatic control systems

    Energy Technology Data Exchange (ETDEWEB)

    Gniazdowski, J.

    1995-12-31

    JOHNSON CONTROLS manufactures measuring and control equipment (800 types) and is as well a {open_quotes}turn-key{close_quotes} supplier of complete automatic controls systems for heating, air conditioning, ventilation and refrigerating engineering branches. The Company also supplies Buildings` Computer-Based Supervision and Monitoring Systems that may be applied in both small and large structures. Since 1990 the company has been performing full-range trade and contracting activities on the Polish market. We have our own well-trained technical staff and we collaborate with a series of designing and contracting enterprises that enable us to have our projects carried out all over Poland. The prices of our supplies and services correspond with the level of the Polish market.

  5. Semi-supervised Gaussian random field transduction and induction

    Institute of Scientific and Technical Information of China (English)

    Yangqiu SONG; Jianguo LEE; Changshui ZHANG; Shiming XIANG

    2008-01-01

    This paper proposes a semi-supervised induc-tive algorithm adopting a Gaussian random field (GRF) and Gaussian process. We introduce the prior based on graph regularization. This regularization term measures the p-smoothness over the graph. A new conditional probability called the extended Bernoulli model (EBM) is also proposed. EBM generalizes the logistic regression to the semi-supervised case, and especially, it can naturally represent the margin. In the training phase, a novel solution is given to the discrete regularization framework defined on the graphs. For the new test data, we present the prediction formulation, and explain how the margin model affects the classification boundary. A hyper-parameter estimation method is also developed. Experimental results show that our method is competi-tive with the existing semi-supervised inductive and transductive methods.

  6. Survey of overnight academic hospitalist supervision of trainees.

    Science.gov (United States)

    Farnan, Jeanne M; Burger, Alfred; Boonyasai, Romsai T; Boonayasai, Romsai T; Leykum, Luci; Harrison, Rebecca; Machulsky, Julie; Parekh, Vikas; Sharpe, Bradley A; Schleyer, Anneliese M; Arora, Vineet M

    2012-09-01

    In 2003, Accreditation Council for Graduate Medical Education (ACGME) announced the first in a series of guidelines related to the residency training. The most recent recommendations include explicit recommendations regarding the provision of on-site clinical supervision for trainees of internal medicine. To meet these standards, many internal medicine residency programs turned to hospitalist programs to fill that need. However, much is unknown about the current relationships between hospitalist and residency programs, specifically with regard to supervisory roles and supervision policies. We aimed to describe how academic hospitalists currently supervise housestaff during the on-call, or overnight, period and hospitalist program leader their perceptions of how these new policies would impact trainee-hospitalist interactions.

  7. Automatic Reading

    Institute of Scientific and Technical Information of China (English)

    胡迪

    2007-01-01

    <正>Reading is the key to school success and,like any skill,it takes practice.A child learns to walk by practising until he no longer has to think about how to put one foot in front of the other.The great athlete practises until he can play quickly,accurately and without thinking.Ed- ucators call it automaticity.

  8. Training cows to approach the milking unit in response to acoustic signals in an automatic milking system during the grazing season

    DEFF Research Database (Denmark)

    Wredle, E.; Munksgaard, Lene; Sporndly, E.

    2006-01-01

    The aim of the present study was to examine whether cows in a commercially-managed barn with automatic milking can learn to visit the milking unit in response to an acoustic signal during the grazing season. The study included 10 Swedish Red and White dairy cows, randomly selected from a herd of ......% for individual cows. Low levels of reinforcement at the milking unit may have compromised responsiveness....

  9. Towards automatic classification of all WISE sources

    Science.gov (United States)

    Kurcz, A.; Bilicki, M.; Solarz, A.; Krupa, M.; Pollo, A.; Małek, K.

    2016-07-01

    Context. The Wide-field Infrared Survey Explorer (WISE) has detected hundreds of millions of sources over the entire sky. Classifying them reliably is, however, a challenging task owing to degeneracies in WISE multicolour space and low levels of detection in its two longest-wavelength bandpasses. Simple colour cuts are often not sufficient; for satisfactory levels of completeness and purity, more sophisticated classification methods are needed. Aims: Here we aim to obtain comprehensive and reliable star, galaxy, and quasar catalogues based on automatic source classification in full-sky WISE data. This means that the final classification will employ only parameters available from WISE itself, in particular those which are reliably measured for the majority of sources. Methods: For the automatic classification we applied a supervised machine learning algorithm, support vector machines (SVM). It requires a training sample with relevant classes already identified, and we chose to use the SDSS spectroscopic dataset (DR10) for that purpose. We tested the performance of two kernels used by the classifier, and determined the minimum number of sources in the training set required to achieve stable classification, as well as the minimum dimension of the parameter space. We also tested SVM classification accuracy as a function of extinction and apparent magnitude. Thus, the calibrated classifier was finally applied to all-sky WISE data, flux-limited to 16 mag (Vega) in the 3.4 μm channel. Results: By calibrating on the test data drawn from SDSS, we first established that a polynomial kernel is preferred over a radial one for this particular dataset. Next, using three classification parameters (W1 magnitude, W1-W2 colour, and a differential aperture magnitude) we obtained very good classification efficiency in all the tests. At the bright end, the completeness for stars and galaxies reaches ~95%, deteriorating to ~80% at W1 = 16 mag, while for quasars it stays at a level of

  10. 纪检监察专业人才学历教育校政共建机制研究--以西安文理学院为例%A Study on Academy-Government Cooperation Mechanism for Professional Personnel Training of the Discipline Inspection and Supervision Majors-A Case Study of Xi'an University

    Institute of Scientific and Technical Information of China (English)

    钱晓萍; 巩建萍

    2015-01-01

    纪检监察专业人才培养应由高等学院和纪检监察实务部门联合完成。政校共建机制框架建设包括成立组织机构、明确建设任务、划清职责分工、设置工作要求四个部分。高等学院的主要职责是完成教学和学生管理;纪检监察实务部门主要职责是落实实践环节;双方通力协作,积极探索,方能取得实效。%The professional training of the students who major in discipline inspection and supervision should be ac -complished by the joint efforts of the academy and the government .The academy-government cooperation mecha-nism includes four parts:the establishment of organization , a clear construction task , a definite division of responsi-bilities, and working requirements .The main responsibilities of college are teaching and student management , and the main responsibilities of discipline inspection and supervision departments are to implement the practical issues .

  11. Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box.

    Science.gov (United States)

    Ciompi, Francesco; de Hoop, Bartjan; van Riel, Sarah J; Chung, Kaman; Scholten, Ernst Th; Oudkerk, Matthijs; de Jong, Pim A; Prokop, Mathias; van Ginneken, Bram

    2015-12-01

    In this paper, we tackle the problem of automatic classification of pulmonary peri-fissural nodules (PFNs). The classification problem is formulated as a machine learning approach, where detected nodule candidates are classified as PFNs or non-PFNs. Supervised learning is used, where a classifier is trained to label the detected nodule. The classification of the nodule in 3D is formulated as an ensemble of classifiers trained to recognize PFNs based on 2D views of the nodule. In order to describe nodule morphology in 2D views, we use the output of a pre-trained convolutional neural network known as OverFeat. We compare our approach with a recently presented descriptor of pulmonary nodule morphology, namely Bag of Frequencies, and illustrate the advantages offered by the two strategies, achieving performance of AUC = 0.868, which is close to the one of human experts.

  12. Semi-supervised least squares support vector machine algorithm: application to offshore oil reservoir

    Science.gov (United States)

    Luo, Wei-Ping; Li, Hong-Qi; Shi, Ning

    2016-06-01

    At the early stages of deep-water oil exploration and development, fewer and further apart wells are drilled than in onshore oilfields. Supervised least squares support vector machine algorithms are used to predict the reservoir parameters but the prediction accuracy is low. We combined the least squares support vector machine (LSSVM) algorithm with semi-supervised learning and established a semi-supervised regression model, which we call the semi-supervised least squares support vector machine (SLSSVM) model. The iterative matrix inversion is also introduced to improve the training ability and training time of the model. We use the UCI data to test the generalization of a semi-supervised and a supervised LSSVM models. The test results suggest that the generalization performance of the LSSVM model greatly improves and with decreasing training samples the generalization performance is better. Moreover, for small-sample models, the SLSSVM method has higher precision than the semi-supervised K-nearest neighbor (SKNN) method. The new semisupervised LSSVM algorithm was used to predict the distribution of porosity and sandstone in the Jingzhou study area.

  13. Defining competencies in psychology supervision: a consensus statement.

    Science.gov (United States)

    Falender, Carol A; Cornish, Jennifer A Erickson; Goodyear, Rodney; Hatcher, Robert; Kaslow, Nadine J; Leventhal, Gerald; Shafranske, Edward; Sigmon, Sandra T; Stoltenberg, Cal; Grus, Catherine

    2004-07-01

    Supervision is a domain of professional practice conducted by many psychologists but for which formal training and standards have been largely neglected. In this article, supervision is proposed as a core competency area in psychology for which a number of elements reflecting specific knowledge, skills, and values must be addressed to ensure adequate training and professional development of the trainee. Supra-ordinate factors of supervision viewed as permeating all aspects of professional development are proposed. These include the perspective that professional development is a lifelong, cumulative process requiring attention to diversity in all its forms, as well as legal and ethical issues, personal and professional factors, and self- and peer-assessment. A competencies framework is presented with particular elements representing knowledge (e.g., about psychotherapy, research, etc.), skills (including supervising modalities, relationship skills, etc.), values (e.g., responsibility for the clients and supervisee rests with supervisor, etc.), and meta-knowledge. Social contextual factors and issues of education and training, assessment, and future directions also are addressed, with specific elements listed. Suggestions for future work in this area are addressed, including the need to refine further and operationalize competences, develop clear expectations for accreditation and licensure regarding supervision competencies, and expand the description of developmental levels of supervisors from minimal to optimal competence. This is one of a series of articles published together in this issue of the Journal of Clinical Psychology. Several other articles that resulted from the Competencies Conference: Future Directions in Education and Credentialing in Professional Psychology will appear in Professional Psychology: Research and Practice and The Counseling Psychologist.

  14. The supervision of research for dissertations and theses

    Directory of Open Access Journals (Sweden)

    N. Lessing

    2004-12-01

    Full Text Available South African higher institutions of learning are engaged in rapid transformation processes. Some of the consequences are that an increasing proportion of the postgraduate student body is from previously disadvantaged backgrounds and that the body of academic staff has also been transformed. In general, students have limited experience of independent research work as well as using library and other research facilities. However, quality research needs to be maintained. It is of great importance that academics should have the knowledge and skills to supervise research. However, preliminary research indicates that very little is done to equip academic staff in the skills of supervising research. A literature study is done to determine the nature of postgraduate supervision as well as the role of the supervisor and the student. From this investigation an interview schedule, consisting of open-ended questions, was composed to use in focus group interviews with academics from various local and international universities. The interviews revealed that seasoned supervisors experience the guidance of postgraduate students as quite satisfactory although a number of pitfalls were raised by supervisors with less experience in the field. None of the interviewees indicated that they have been formally trained to act as a supervisor. It was also indicated that students need much support and training in scientific formulation and writing. It seems that a definite need exists for newer academic staff to be schooled in research supervision.

  15. 激光枪自动计时下广东体育高考篮球专项训练初探%Research on Basketball Training for College Entrance Examination in Guangdong on Condition of Laser Gun Automatic Timing

    Institute of Scientific and Technical Information of China (English)

    罗振兴

    2016-01-01

    本文通过文献资料法、访谈交流法、实地考察法,对激光枪自动计时下,广东省体育高考篮球专项的考生,教练及考试标准和方法进行研究。将篮球专项训练过程分为急停定点投篮、单边分段绕杆、起动冲刺、衔接结合和心理训练,探索训练的技术要素和方法,以期为广大篮球带队老师提供借鉴,提高学生的专项成绩。%By applying literature,interview,field observation and other methods,this paper focus on the examinees,coaches and examination criterion of basketball entrance exam in Guangdong on condition of laser gun automatic timing,divides basketball training process into jump set shot,unilateral section pole cross over,start and sprint,join and combine,and psychological training.By exploring training skills and methods,this paper aims at offering references to basketball teachers and improving students’performance in the exam.

  16. Study on automatic train operation based on iterative learning control%基于迭代学习控制的列车自动运行研究

    Institute of Scientific and Technical Information of China (English)

    王娟; 李国宁; 刘雨佳

    2014-01-01

    针对列控系统难以建立精确的动力学模型问题,利用列车运行过程中包含的大量重复信息,选用迭代学习算法对列车动力学模型中的未知参数进行辨识并提出基于迭代学习控制的列车自动运行控制算法。算法核心是利用历史数据生成新的控制量控制列车自动运行。仿真结果表明,经过一定次数的迭代,参数辨识值保持稳定并且列车能够严格跟踪目标曲线行驶,保证列车高精度、高平稳、高安全的运行。%Aiming for the difficulty to establish accurate dynamic model for train control system, and combining a large number of duplicate information contained in the train operation, the unknown parameters in the train dynamics model are identified by using Iterative Learning Control(ILC)algorithm and a control algorithm based on ILC is proposed to control the train. The core of the algorithm is the use of historical data to generate a new input to control train. The simulation results show that after a certain number of iterations, parameters identification value remains stable and the train can strictly follow the target curve to run and ensure the train can travel with high-precision, high-steady and high-security.

  17. Cultural Humility in Psychotherapy Supervision.

    Science.gov (United States)

    Hook, Joshua N; Watkins, C Edward; Davis, Don E; Owen, Jesse; Van Tongeren, Daryl R; Ramos, Marciana J

    2016-01-01

    As a core component of multicultural orientation, cultural humility can be considered an important attitude for clinical supervisees to adopt and practically implement. How can cultural humility be most meaningfully incorporated in supervision? In what ways can supervisors stimulate the development of a culturally humble attitude in our supervisees? We consider those questions in this paper and present a model for addressing cultural humility in clinical supervision. The primary focus is given to two areas: (a) modeling and teaching of cultural humility through interpersonal interactions in supervision, and (b) teaching cultural humility through outside activities and experiences. Two case studies illustrating the model are presented, and a research agenda for work in this area is outlined. PMID:27329404

  18. Supervised Sequence Labelling with Recurrent Neural Networks

    CERN Document Server

    Graves, Alex

    2012-01-01

    Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition, protein secondary structure prediction and part-of-speech tagging. Recurrent neural networks are powerful sequence learning tools—robust to input noise and distortion, able to exploit long-range contextual information—that would seem ideally suited to such problems. However their role in large-scale sequence labelling systems has so far been auxiliary.    The goal of this book is a complete framework for classifying and transcribing sequential data with recurrent neural networks only. Three main innovations are introduced in order to realise this goal. Firstly, the connectionist temporal classification output layer allows the framework to be trained with unsegmented target sequences, such as phoneme-level speech transcriptions; this is in contrast to previous connectionist approaches, which were dependent on error-prone prior segmentation. Secondly, multidimensional...

  19. Automatic Kurdish Dialects Identification

    Directory of Open Access Journals (Sweden)

    Hossein Hassani

    2016-02-01

    Full Text Available Automatic dialect identification is a necessary Lan guage Technology for processing multi- dialect languages in which the dialects are linguis tically far from each other. Particularly, this becomes crucial where the dialects are mutually uni ntelligible. Therefore, to perform computational activities on these languages, the sy stem needs to identify the dialect that is the subject of the process. Kurdish language encompasse s various dialects. It is written using several different scripts. The language lacks of a standard orthography. This situation makes the Kurdish dialectal identification more interesti ng and required, both form the research and from the application perspectives. In this research , we have applied a classification method, based on supervised machine learning, to identify t he dialects of the Kurdish texts. The research has focused on two widely spoken and most dominant Kurdish dialects, namely, Kurmanji and Sorani. The approach could be applied to the other Kurdish dialects as well. The method is also applicable to the languages which are similar to Ku rdish in their dialectal diversity and differences.

  20. Who is teaching and supervising our junior residents' central venous catheterizations?

    Directory of Open Access Journals (Sweden)

    Roberts James M

    2011-04-01

    Full Text Available Abstract Background The extent to which medical residents are involved in the teaching and supervision of medical procedures is unknown. This study aims to evaluate the teaching and supervision of junior residents in central venous catheterization (CVC by resident-teachers. Methods All PGY-1 internal medicine residents at two Canadian academic institutions were invited to complete a survey on their CVC experience, teaching, and supervision prior to their enrolment in a simulator CVC training curriculum. Results Of the 69 eligible PGY-1 residents, 32 (46% consenting participants were included in the study. There were no significant baseline differences between participants from the two institutions in terms of sex, number of ICU months completed, previous CVC training received, number of CVCs observed and performed. Only 16 participants (50% received any CVC training at baseline. Of those who received any training, 63% were taught only by senior resident-teachers. A total of 81 CVCs were placed by 17 participants. Thirty-two CVCs (45% were supervised by resident-teachers. Conclusions Resident-teachers play a significant role both in the teaching and supervision of CVCs placed by junior residents. Educational efforts should focus on preparing residents for their role in teaching and supervision of procedures.

  1. Genetic Counseling Supervisors' Self-Efficacy for Select Clinical Supervision Competencies.

    Science.gov (United States)

    Finley, Sabra Ledare; Veach, Pat McCarthy; MacFarlane, Ian M; LeRoy, Bonnie S; Callanan, Nancy

    2016-04-01

    Supervision is a primary instructional vehicle for genetic counseling student clinical training. Approximately two-thirds of genetic counselors report teaching and education roles, which include supervisory roles. Recently, Eubanks Higgins and colleagues published the first comprehensive list of empirically-derived genetic counseling supervisor competencies. Studies have yet to evaluate whether supervisors possess these competencies and whether their competencies differ as a function of experience. This study investigated three research questions: (1) What are genetic counselor supervisors' perceptions of their capabilities (self-efficacy) for a select group of supervisor competencies?, (2) Are there differences in self-efficacy as a function of their supervision experience or their genetic counseling experience, and 3) What training methods do they use and prefer to develop supervision skills? One-hundred thirty-one genetic counselor supervisors completed an anonymous online survey assessing demographics, self-efficacy (self-perceived capability) for 12 goal setting and 16 feedback competencies (Scale: 0-100), competencies that are personally challenging, and supervision training experiences and preferences (open-ended). A MANOVA revealed significant positive effects of supervision experience but not genetic counseling experience on participants' self-efficacy. Although mean self-efficacy ratings were high (>83.7), participant comments revealed several challenging competencies (e.g., incorporating student's report of feedback from previous supervisors into goal setting, and providing feedback about student behavior rather than personal traits). Commonly preferred supervision training methods included consultation with colleagues, peer discussion, and workshops/seminars.

  2. Artificial intelligence in sports on the example of weight training.

    Science.gov (United States)

    Novatchkov, Hristo; Baca, Arnold

    2013-01-01

    The overall goal of the present study was to illustrate the potential of artificial intelligence (AI) techniques in sports on the example of weight training. The research focused in particular on the implementation of pattern recognition methods for the evaluation of performed exercises on training machines. The data acquisition was carried out using way and cable force sensors attached to various weight machines, thereby enabling the measurement of essential displacement and force determinants during training. On the basis of the gathered data, it was consequently possible to deduce other significant characteristics like time periods or movement velocities. These parameters were applied for the development of intelligent methods adapted from conventional machine learning concepts, allowing an automatic assessment of the exercise technique and providing individuals with appropriate feedback. In practice, the implementation of such techniques could be crucial for the investigation of the quality of the execution, the assistance of athletes but also coaches, the training optimization and for prevention purposes. For the current study, the data was based on measurements from 15 rather inexperienced participants, performing 3-5 sets of 10-12 repetitions on a leg press machine. The initially preprocessed data was used for the extraction of significant features, on which supervised modeling methods were applied. Professional trainers were involved in the assessment and classification processes by analyzing the video recorded executions. The so far obtained modeling results showed good performance and prediction outcomes, indicating the feasibility and potency of AI techniques in assessing performances on weight training equipment automatically and providing sportsmen with prompt advice. Key pointsArtificial intelligence is a promising field for sport-related analysis.Implementations integrating pattern recognition techniques enable the automatic evaluation of data

  3. Artificial Intelligence in Sports on the Example of Weight Training

    Science.gov (United States)

    Novatchkov, Hristo; Baca, Arnold

    2013-01-01

    The overall goal of the present study was to illustrate the potential of artificial intelligence (AI) techniques in sports on the example of weight training. The research focused in particular on the implementation of pattern recognition methods for the evaluation of performed exercises on training machines. The data acquisition was carried out using way and cable force sensors attached to various weight machines, thereby enabling the measurement of essential displacement and force determinants during training. On the basis of the gathered data, it was consequently possible to deduce other significant characteristics like time periods or movement velocities. These parameters were applied for the development of intelligent methods adapted from conventional machine learning concepts, allowing an automatic assessment of the exercise technique and providing individuals with appropriate feedback. In practice, the implementation of such techniques could be crucial for the investigation of the quality of the execution, the assistance of athletes but also coaches, the training optimization and for prevention purposes. For the current study, the data was based on measurements from 15 rather inexperienced participants, performing 3-5 sets of 10-12 repetitions on a leg press machine. The initially preprocessed data was used for the extraction of significant features, on which supervised modeling methods were applied. Professional trainers were involved in the assessment and classification processes by analyzing the video recorded executions. The so far obtained modeling results showed good performance and prediction outcomes, indicating the feasibility and potency of AI techniques in assessing performances on weight training equipment automatically and providing sportsmen with prompt advice. Key points Artificial intelligence is a promising field for sport-related analysis. Implementations integrating pattern recognition techniques enable the automatic evaluation of data

  4. Conception on Automatic Water-feeding of Railway Passenger Train%铁路旅客列车自动上水设想

    Institute of Scientific and Technical Information of China (English)

    丁浩

    2015-01-01

    In recent years, with the construction of the passenger dedicated line and high-speed railway, the railway passenger transportation has changed a lot. The passenger train water-feeding is the important guarantee of the railway passenger transportation. How to efficiently, quickly and safely complete the water-feeding of the passenger train after it draw up at a station in the situation of short station dwell time and high traffic flow, it is related to the operation and development of railway passenger transportation. In order to meet the setout requirements of passenger train water-feeding, the ground equipment of passenger train water-feeding system should be improved.%近年来,随着客运专线、高速铁路的兴建,铁路客运发生着巨大的变化。客车上水是铁路客运运输的重要保障,如何在目前列车停站时间短、列流密度大的现状下,保证列车进站后高效、快速、安全的完成客车上水,关乎着铁路客运的运营与发展。为了满足客车上水的整备要求,应当改进客车上水系统的地面设备。

  5. Contrast-based fully automatic segmentation of white matter hyperintensities: method and validation.

    Directory of Open Access Journals (Sweden)

    Thomas Samaille

    Full Text Available White matter hyperintensities (WMH on T2 or FLAIR sequences have been commonly observed on MR images of elderly people. They have been associated with various disorders and have been shown to be a strong risk factor for stroke and dementia. WMH studies usually required visual evaluation of WMH load or time-consuming manual delineation. This paper introduced WHASA (White matter Hyperintensities Automated Segmentation Algorithm, a new method for automatically segmenting WMH from FLAIR and T1 images in multicentre studies. Contrary to previous approaches that were based on intensities, this method relied on contrast: non linear diffusion filtering alternated with watershed segmentation to obtain piecewise constant images with increased contrast between WMH and surroundings tissues. WMH were then selected based on subject dependant automatically computed threshold and anatomical information. WHASA was evaluated on 67 patients from two studies, acquired on six different MRI scanners and displaying a wide range of lesion load. Accuracy of the segmentation was assessed through volume and spatial agreement measures with respect to manual segmentation; an intraclass correlation coefficient (ICC of 0.96 and a mean similarity index (SI of 0.72 were obtained. WHASA was compared to four other approaches: Freesurfer and a thresholding approach as unsupervised methods; k-nearest neighbours (kNN and support vector machines (SVM as supervised ones. For these latter, influence of the training set was also investigated. WHASA clearly outperformed both unsupervised methods, while performing at least as good as supervised approaches (ICC range: 0.87-0.91 for kNN; 0.89-0.94 for SVM. Mean SI: 0.63-0.71 for kNN, 0.67-0.72 for SVM, and did not need any training set.

  6. Broad Absorption Line Quasar catalogues with Supervised Neural Networks

    International Nuclear Information System (INIS)

    We have applied a Learning Vector Quantization (LVQ) algorithm to SDSS DR5 quasar spectra in order to create a large catalogue of broad absorption line quasars (BALQSOs). We first discuss the problems with BALQSO catalogues constructed using the conventional balnicity and/or absorption indices (BI and AI), and then describe the supervised LVQ network we have trained to recognise BALQSOs. The resulting BALQSO catalogue should be substantially more robust and complete than BI-or AI-based ones.

  7. Clinical supervision reflected in a Danish DPCCQ sample

    DEFF Research Database (Denmark)

    Nielsen, Jan; Jacobsen, Claus Haugaard

    Aim: Supervision is a vital factor in the professional development of psychotherapists, and was rated by novice therapists as the most important factor in their own current development (Orlinsky & Rønnestad, 2005). Paradoxically, the standard version of the Development of Psychotherapists Common...... (pathology), satisfaction or distress at work, etc. Discussion: Implications of the findings for the development of therapists and the training of supervisors will be discussed....

  8. Adequate supervision for children and adolescents.

    Science.gov (United States)

    Anderst, James; Moffatt, Mary

    2014-11-01

    Primary care providers (PCPs) have the opportunity to improve child health and well-being by addressing supervision issues before an injury or exposure has occurred and/or after an injury or exposure has occurred. Appropriate anticipatory guidance on supervision at well-child visits can improve supervision of children, and may prevent future harm. Adequate supervision varies based on the child's development and maturity, and the risks in the child's environment. Consideration should be given to issues as wide ranging as swimming pools, falls, dating violence, and social media. By considering the likelihood of harm and the severity of the potential harm, caregivers may provide adequate supervision by minimizing risks to the child while still allowing the child to take "small" risks as needed for healthy development. Caregivers should initially focus on direct (visual, auditory, and proximity) supervision of the young child. Gradually, supervision needs to be adjusted as the child develops, emphasizing a safe environment and safe social interactions, with graduated independence. PCPs may foster adequate supervision by providing concrete guidance to caregivers. In addition to preventing injury, supervision includes fostering a safe, stable, and nurturing relationship with every child. PCPs should be familiar with age/developmentally based supervision risks, adequate supervision based on those risks, characteristics of neglectful supervision based on age/development, and ways to encourage appropriate supervision throughout childhood. PMID:25369578

  9. Sundhedsfaglig supervision som klinisk metode

    DEFF Research Database (Denmark)

    Nordentoft, Helle Merete

    2011-01-01

    Kapitlet gennemgår og diskuterer sundhedsfaglig supervision (SFS) som metode. Formålet med kapitlet er at give læseren indsigt i og et kritisk blik på metodens muligheder og begrænsninger. Indledningsvis uddyber kapitlet den historiske baggrund for SFS og hvordan metoden udfolder sig i praksis me...

  10. Ethics in Rehabilitation Counselor Supervision.

    Science.gov (United States)

    Blackwell, Terry L.; Strohmer, Douglas C.; Belcas, Eva M.; Burton, Kathryn A.

    2002-01-01

    Article is an exploration of some of the ethical issues facing rehabilitation counselors who provide clinical supervision. Ethical issues related to competence, evaluation and due process, dual relationships, confidentiality, and informed consent are discussed. (Contains 28references, 2 tables, and 1 appendix.) (Author)

  11. Motivational Interviewing as a Supervision Strategy in Probation: A Randomized Effectiveness Trial

    Science.gov (United States)

    Walters, Scott T.; Vader, Amanda M.; Nguyen, Norma; Harris, T. Robert; Eells, Jennifer

    2010-01-01

    Motivational interviewing (MI) has been recommended as a supervision style in probation. This project examined the effectiveness of an MI training curriculum on probation officer MI skill and subsequent probationer outcome. Twenty probation officers were randomized to receive MI training, or to a waiting list control, while an additional group of…

  12. Colleagues in the Classroom: A Video-Assisted Program for Teaching Supervision Skills. [Multimedia Kit].

    Science.gov (United States)

    Morgan, Robert L.; Gee, Tamara S.; Merrill, Zandria; Gerity, Brent P.; Brenchley, Rebecca

    This kit provides materials for training educators to better supervise paraeducators and other classroom personnel. It consists of an instructor's manual, a trainee's workbook, and six videotapes, one for each unit. The training program is intended for small groups in six sessions in either inservice or university settings. The instructor's manual…

  13. Public sector physiotherapists believe that staff supervision should be broad ranging, individualised, structured, and based on needs and goals: a qualitative study

    Directory of Open Access Journals (Sweden)

    Annabel A Redpath

    2015-10-01

    Full Text Available Question: What do physiotherapists consider to be the structure and content of an effective clinical supervision program for public sector staff? Design: Qualitative study using emergent-systematic focus group design. Participants: 46 physiotherapists and six physiotherapy assistants from a large, regional, Australian health service participated in one of seven focus groups. Results: Data were represented by three major categories: the content of supervision; the structure of supervision; and participants’ roles and attributes. The content of supervision should encompass all issues affecting workplace experience and performance; supervision should be individualised and needs based. For the structure of supervision, a variety of methods and formats should be available, including: scheduled and unscheduled supervision (unscheduled supervision addresses needs as they arise but its usefulness can be restricted by supervisor availability; the environment should be organised to facilitate supervision; supervision should be integrated into existing practices; and supervision should be adequately prioritised and resourced to enable sustainability. In relation to participants’ roles and attributes, respondents recommended: clearly defined supervisor and supervisee roles, responsibilities, skills and attributes are required to facilitate a constructive relationship on which successful supervision depends; the supervisee should take primary responsibility for leading and organising their supervision; the supervisor provides support and accountability and assists with goal setting and attainment; and successful supervision requires considerable knowledge and skills from the supervisee and supervisor (supervision education and training might be necessary. Conclusion: The physiotherapists’ perspectives that were identified in this study are important to consider when assessing current clinical supervision models, as well as when designing and

  14. Novice supervisors' tasks and training

    DEFF Research Database (Denmark)

    Nielsen, Jan; Jacobsen, Claus Haugaard; Mathiesen, Birgit Bork

    2012-01-01

    were confronted with complicated jobs, e.g., group, internal and interdisciplinary supervision, but were not prepared, i.e. trained, prior to these tasks. These findings imply that more training is needed for novice supervisors. Preferably, this training should be introduced before, or at least...

  15. Phenotype classification of zebrafish embryos by supervised learning.

    Directory of Open Access Journals (Sweden)

    Nathalie Jeanray

    Full Text Available Zebrafish is increasingly used to assess biological properties of chemical substances and thus is becoming a specific tool for toxicological and pharmacological studies. The effects of chemical substances on embryo survival and development are generally evaluated manually through microscopic observation by an expert and documented by several typical photographs. Here, we present a methodology to automatically classify brightfield images of wildtype zebrafish embryos according to their defects by using an image analysis approach based on supervised machine learning. We show that, compared to manual classification, automatic classification results in 90 to 100% agreement with consensus voting of biological experts in nine out of eleven considered defects in 3 days old zebrafish larvae. Automation of the analysis and classification of zebrafish embryo pictures reduces the workload and time required for the biological expert and increases the reproducibility and objectivity of this classification.

  16. Supervised learning for the automated transcription of spacer classification from spoligotype films

    Directory of Open Access Journals (Sweden)

    Abernethy Neil

    2009-08-01

    Full Text Available Abstract Background Molecular genotyping of bacteria has revolutionized the study of tuberculosis epidemiology, yet these established laboratory techniques typically require subjective and laborious interpretation by trained professionals. In the context of a Tuberculosis Case Contact study in The Gambia we used a reverse hybridization laboratory assay called spoligotype analysis. To facilitate processing of spoligotype images we have developed tools and algorithms to automate the classification and transcription of these data directly to a database while allowing for manual editing. Results Features extracted from each of the 1849 spots on a spoligo film were classified using two supervised learning algorithms. A graphical user interface allows manual editing of the classification, before export to a database. The application was tested on ten films of differing quality and the results of the best classifier were compared to expert manual classification, giving a median correct classification rate of 98.1% (inter quartile range: 97.1% to 99.2%, with an automated processing time of less than 1 minute per film. Conclusion The software implementation offers considerable time savings over manual processing whilst allowing expert editing of the automated classification. The automatic upload of the classification to a database reduces the chances of transcription errors.

  17. Supervised Self-Organizing Classification of Superresolution ISAR Images: An Anechoic Chamber Experiment

    Directory of Open Access Journals (Sweden)

    Radoi Emanuel

    2006-01-01

    Full Text Available The problem of the automatic classification of superresolution ISAR images is addressed in the paper. We describe an anechoic chamber experiment involving ten-scale-reduced aircraft models. The radar images of these targets are reconstructed using MUSIC-2D (multiple signal classification method coupled with two additional processing steps: phase unwrapping and symmetry enhancement. A feature vector is then proposed including Fourier descriptors and moment invariants, which are calculated from the target shape and the scattering center distribution extracted from each reconstructed image. The classification is finally performed by a new self-organizing neural network called SART (supervised ART, which is compared to two standard classifiers, MLP (multilayer perceptron and fuzzy KNN ( nearest neighbors. While the classification accuracy is similar, SART is shown to outperform the two other classifiers in terms of training speed and classification speed, especially for large databases. It is also easier to use since it does not require any input parameter related to its structure.

  18. Semi-Supervised Learning Based on Manifold in BCI

    Institute of Scientific and Technical Information of China (English)

    Ji-Ying Zhong; Xu Lei; De-Zhong Yao

    2009-01-01

    A Laplacian support vector machine (LapSVM) algorithm,a semi-supervised learning based on manifold,is introduced to brain-computer interface (BCI) to raise the classification precision and reduce the subjects' training complexity.The data are collected from three subjects in a three-task mental imagery experiment.LapSVM and transductive SVM (TSVM) are trained with a few labeled samples and a large number of unlabeled samples.The results confirm that LapSVM has a much better classification than TSVM.

  19. Blinking supervision in a working environment

    Science.gov (United States)

    Morcego, Bernardo; Argilés, Marc; Cabrerizo, Marc; Cardona, Genís; Pérez, Ramon; Pérez-Cabré, Elisabet; Gispets, Joan

    2016-02-01

    The health of the ocular surface requires blinks of the eye to be frequent in order to provide moisture and to renew the tear film. However, blinking frequency has been shown to decrease in certain conditions such as when subjects are conducting tasks with high cognitive and visual demands. These conditions are becoming more common as people work or spend their leisure time in front of video display terminals. Supervision of blinking frequency in such environments is possible, thanks to the availability of computer-integrated cameras. Therefore, the aim of the present study is to develop an algorithm for the detection of eye blinks and to test it, in a number of videos captured, while subjects are conducting a variety of tasks in front of the computer. The sensitivity of the algorithm for blink detection was found to be of 87.54% (range 30% to 100%), with a mean false-positive rate of 0.19% (range 0% to 1.7%), depending on the illumination conditions during which the image was captured and other computer-user spatial configurations. The current automatic process is based on a partly modified pre-existing eye detection and image processing algorithms and consists of four stages that are aimed at eye detection, eye tracking, iris detection and segmentation, and iris height/width ratio assessment.

  20. The Effectiveness of Academic Supervision for Teachers

    Science.gov (United States)

    Rahabav, Patris

    2016-01-01

    This research was conducted with the purpose of describing the general effectiveness of the academic supervision for teachers with three main focus, which is to analyze the competence of supervisors; academic supervision program implementation and the results and impact of academic supervision. The research location is SMU Maria Mediatrix Ambon,…

  1. 28 CFR 2.91 - Supervision responsibility.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 1 2010-07-01 2010-07-01 false Supervision responsibility. 2.91 Section 2.91 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT OF....91 Supervision responsibility. (a) Pursuant to D.C. Code 24-133(c), the District of Columbia...

  2. 32 CFR 631.3 - Supervision.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 4 2010-07-01 2010-07-01 true Supervision. 631.3 Section 631.3 National Defense Department of Defense (Continued) DEPARTMENT OF THE ARMY (CONTINUED) LAW ENFORCEMENT AND CRIMINAL....3 Supervision. The following will develop and have staff supervision over AFDCB and...

  3. 76 FR 2197 - Office of Thrift Supervision

    Science.gov (United States)

    2011-01-12

    ... Office of Thrift Supervision Identity Theft Red Flags and Address Discrepancies Under the Fair and Accurate Credit Transactions Act of 2003 AGENCY: Office of Thrift Supervision (OTS), Treasury. ACTION... Office, Office of Thrift Supervision, 1700 G Street, NW., Washington, DC 20552, by fax to (202)...

  4. 75 FR 59799 - Office of Thrift Supervision

    Science.gov (United States)

    2010-09-28

    ... Office of Thrift Supervision Purchase of Branch Office(s) and/or Transfer of Assets/Liabilities AGENCY: Office of Thrift Supervision (OTS), Treasury. ACTION: Notice and request for comment. SUMMARY: The... Supervision within the Department of the Treasury will submit the proposed information collection...

  5. 7 CFR 550.33 - Administrative supervision.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 6 2010-01-01 2010-01-01 false Administrative supervision. 550.33 Section 550.33... Agreements Program Management § 550.33 Administrative supervision. REE employees are prohibited from engaging... management issues. The cooperator is solely responsible for the administrative supervision of its employees....

  6. 24 CFR 200.105 - Mortgagor supervision.

    Science.gov (United States)

    2010-04-01

    ... 24 Housing and Urban Development 2 2010-04-01 2010-04-01 false Mortgagor supervision. 200.105... supervision. (a) As long as the Commissioner is the insurer or holder of the mortgage, the Commissioner shall... Regulatory Agreement or other instrument granting the Commissioner supervision of the mortgagor....

  7. 7 CFR 56.6 - Supervision.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 3 2010-01-01 2010-01-01 false Supervision. 56.6 Section 56.6 Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (Standards, Inspections... Grading of Shell Eggs General § 56.6 Supervision. All grading service shall be subject to supervision...

  8. 10 CFR 35.27 - Supervision.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 1 2010-01-01 2010-01-01 false Supervision. 35.27 Section 35.27 Energy NUCLEAR REGULATORY COMMISSION MEDICAL USE OF BYPRODUCT MATERIAL General Administrative Requirements § 35.27 Supervision. (a) A... under the supervision of an authorized user, as allowed by § 35.11(b)(1), shall— (1) In addition to...

  9. 48 CFR 836.572 - Government supervision.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 5 2010-10-01 2010-10-01 false Government supervision. 836.572 Section 836.572 Federal Acquisition Regulations System DEPARTMENT OF VETERANS AFFAIRS SPECIAL... supervision. The contracting officer shall insert the clause at 852.236-78, Government supervision,...

  10. 19 CFR 111.28 - Responsible supervision.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 1 2010-04-01 2010-04-01 false Responsible supervision. 111.28 Section 111.28... TREASURY CUSTOMS BROKERS Duties and Responsibilities of Customs Brokers § 111.28 Responsible supervision... exercise responsible supervision and control (see § 111.1) over the transaction of the customs business...

  11. 27 CFR 46.79 - Supervision.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 2 2010-04-01 2010-04-01 false Supervision. 46.79 Section... § 46.79 Supervision. Before payment is made under this subpart in respect of the tax, or tax and duty... under the supervision of an appropriate TTB officer who will be assigned for that purpose by...

  12. The Learning Alliance: Ethics in Doctoral Supervision

    Science.gov (United States)

    Halse, Christine; Bansel, Peter

    2012-01-01

    This paper is concerned with the ethics of relationships in doctoral supervision. We give an overview of four paradigms of doctoral supervision that have endured over the past 25 years and elucidate some of their strengths and limitations, contextualise them historically and consider their implications for doctoral supervision in the contemporary…

  13. 40 CFR 35.935-8 - Supervision.

    Science.gov (United States)

    2010-07-01

    ... 40 Protection of Environment 1 2010-07-01 2010-07-01 false Supervision. 35.935-8 Section 35.935-8... ASSISTANCE Grants for Construction of Treatment Works-Clean Water Act § 35.935-8 Supervision. In the case of... supervision and inspection of the project to ensure that the construction conforms with the approved plans...

  14. 9 CFR 354.13 - Supervision.

    Science.gov (United States)

    2010-01-01

    ... 9 Animals and Animal Products 2 2010-01-01 2010-01-01 false Supervision. 354.13 Section 354.13... CERTIFICATION VOLUNTARY INSPECTION OF RABBITS AND EDIBLE PRODUCTS THEREOF Basis of Service § 354.13 Supervision. All inspection service shall be subject to supervision at all times by the station supervisor,...

  15. Supervision Experiences of New Professional School Counselors

    Science.gov (United States)

    Bultsma, Shawn A.

    2012-01-01

    This qualitative study examined the supervision experiences of 11 new professional school counselors. They reported that their supervision experiences were most often administrative in nature; reports of clinical and developmental supervision were limited to participants whose supervisors were licensed as professional counselors. In addition,…

  16. Developing a Critical Practice of Clinical Supervision.

    Science.gov (United States)

    Smyth, W. John

    1985-01-01

    The etymology of the term "clinical supervision" is discussed. How clinical supervision can be used with teachers as an active force toward reform and change is then examined. Through clinical supervision teachers can assist each other to gain control over their own professional lives and destinies. (RM)

  17. ATLAAS: an automatic decision tree-based learning algorithm for advanced image segmentation in positron emission tomography

    Science.gov (United States)

    Berthon, Beatrice; Marshall, Christopher; Evans, Mererid; Spezi, Emiliano

    2016-07-01

    Accurate and reliable tumour delineation on positron emission tomography (PET) is crucial for radiotherapy treatment planning. PET automatic segmentation (PET-AS) eliminates intra- and interobserver variability, but there is currently no consensus on the optimal method to use, as different algorithms appear to perform better for different types of tumours. This work aimed to develop a predictive segmentation model, trained to automatically select and apply the best PET-AS method, according to the tumour characteristics. ATLAAS, the automatic decision tree-based learning algorithm for advanced segmentation is based on supervised machine learning using decision trees. The model includes nine PET-AS methods and was trained on a 100 PET scans with known true contour. A decision tree was built for each PET-AS algorithm to predict its accuracy, quantified using the Dice similarity coefficient (DSC), according to the tumour volume, tumour peak to background SUV ratio and a regional texture metric. The performance of ATLAAS was evaluated for 85 PET scans obtained from fillable and printed subresolution sandwich phantoms. ATLAAS showed excellent accuracy across a wide range of phantom data and predicted the best or near-best segmentation algorithm in 93% of cases. ATLAAS outperformed all single PET-AS methods on fillable phantom data with a DSC of 0.881, while the DSC for H&N phantom data was 0.819. DSCs higher than 0.650 were achieved in all cases. ATLAAS is an advanced automatic image segmentation algorithm based on decision tree predictive modelling, which can be trained on images with known true contour, to predict the best PET-AS method when the true contour is unknown. ATLAAS provides robust and accurate image segmentation with potential applications to radiation oncology.

  18. Effect of early supervised progressive resistance training compared to unsupervised home-based exercise after fast-track total hip replacement applied to patients with preoperative functional limitations. A single-blinded randomised controlled trial

    DEFF Research Database (Denmark)

    Mikkelsen, Lone Ramer; Mechlenburg, I; Søballe, K;

    2014-01-01

    /week). The primary endpoint was change in leg extension power at 10 week follow up. Secondary outcomes were isometric hip muscle strength, sit-to-stand test, stair climb test, 20 m walking speed and patient-reported outcome (HOOS). RESULTS: Sixty-two completed the trial (85%). Leg extension power increased from...... baseline to the 10 week follow up in both groups; mean [95% CI] IG: 0.29 [0.13; 0.45] and CG: 0.26 [0.10; 0.42] W/kg, with no between-group difference (primary outcome) (P = 0.79). Maximal walking speed (P = 0.008) and stair climb performance (P = 0.04) improved more in the IG compared to CG, no other...... between-group differences existed. CONCLUSIONS: In this trial, supervised PRT twice a week in addition to 5 weekly sessions of unsupervised exercise for 10 weeks was not superior to 7 weekly sessions of unsupervised home-based exercise for 10 weeks in improving the primary outcome, leg-extension power...

  19. A National Survey of School Counselor Supervision Practices: Administrative, Clinical, Peer, and Technology Mediated Supervision

    Science.gov (United States)

    Perera-Diltz, Dilani M.; Mason, Kimberly L.

    2012-01-01

    Supervision is vital for personal and professional development of counselors. Practicing school counselors (n = 1557) across the nation were surveyed to explore current supervision practices. Results indicated that 41.1% of school counselors provide supervision. Although 89% receive some type of supervision, only 10.3% of school counselors receive…

  20. Supervision Experiences of Professional Counselors Providing Crisis Counseling

    Science.gov (United States)

    Dupre, Madeleine; Echterling, Lennis G.; Meixner, Cara; Anderson, Robin; Kielty, Michele

    2014-01-01

    In this phenomenological study, the authors explored supervision experiences of 13 licensed professional counselors in situations requiring crisis counseling. Five themes concerning crisis and supervision were identified from individual interviews. Findings support intensive, immediate crisis supervision and postlicensure clinical supervision.

  1. Cavity contour segmentation in chest radiographs using supervised learning and dynamic programming

    International Nuclear Information System (INIS)

    Purpose: Efficacy of tuberculosis (TB) treatment is often monitored using chest radiography. Monitoring size of cavities in pulmonary tuberculosis is important as the size predicts severity of the disease and its persistence under therapy predicts relapse. The authors present a method for automatic cavity segmentation in chest radiographs. Methods: A two stage method is proposed to segment the cavity borders, given a user defined seed point close to the center of the cavity. First, a supervised learning approach is employed to train a pixel classifier using texture and radial features to identify the border pixels of the cavity. A likelihood value of belonging to the cavity border is assigned to each pixel by the classifier. The authors experimented with four different classifiers:k-nearest neighbor (kNN), linear discriminant analysis (LDA), GentleBoost (GB), and random forest (RF). Next, the constructed likelihood map was used as an input cost image in the polar transformed image space for dynamic programming to trace the optimal maximum cost path. This constructed path corresponds to the segmented cavity contour in image space. Results: The method was evaluated on 100 chest radiographs (CXRs) containing 126 cavities. The reference segmentation was manually delineated by an experienced chest radiologist. An independent observer (a chest radiologist) also delineated all cavities to estimate interobserver variability. Jaccard overlap measure Ω was computed between the reference segmentation and the automatic segmentation; and between the reference segmentation and the independent observer's segmentation for all cavities. A median overlap Ω of 0.81 (0.76 ± 0.16), and 0.85 (0.82 ± 0.11) was achieved between the reference segmentation and the automatic segmentation, and between the segmentations by the two radiologists, respectively. The best reported mean contour distance and Hausdorff distance between the reference and the automatic segmentation were

  2. Cavity contour segmentation in chest radiographs using supervised learning and dynamic programming

    Energy Technology Data Exchange (ETDEWEB)

    Maduskar, Pragnya, E-mail: pragnya.maduskar@radboudumc.nl; Hogeweg, Laurens; Sánchez, Clara I.; Ginneken, Bram van [Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, 6525 GA (Netherlands); Jong, Pim A. de [Department of Radiology, University Medical Center Utrecht, 3584 CX (Netherlands); Peters-Bax, Liesbeth [Department of Radiology, Radboud University Medical Center, Nijmegen, 6525 GA (Netherlands); Dawson, Rodney [University of Cape Town Lung Institute, Cape Town 7700 (South Africa); Ayles, Helen [Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London WC1E 7HT (United Kingdom)

    2014-07-15

    Purpose: Efficacy of tuberculosis (TB) treatment is often monitored using chest radiography. Monitoring size of cavities in pulmonary tuberculosis is important as the size predicts severity of the disease and its persistence under therapy predicts relapse. The authors present a method for automatic cavity segmentation in chest radiographs. Methods: A two stage method is proposed to segment the cavity borders, given a user defined seed point close to the center of the cavity. First, a supervised learning approach is employed to train a pixel classifier using texture and radial features to identify the border pixels of the cavity. A likelihood value of belonging to the cavity border is assigned to each pixel by the classifier. The authors experimented with four different classifiers:k-nearest neighbor (kNN), linear discriminant analysis (LDA), GentleBoost (GB), and random forest (RF). Next, the constructed likelihood map was used as an input cost image in the polar transformed image space for dynamic programming to trace the optimal maximum cost path. This constructed path corresponds to the segmented cavity contour in image space. Results: The method was evaluated on 100 chest radiographs (CXRs) containing 126 cavities. The reference segmentation was manually delineated by an experienced chest radiologist. An independent observer (a chest radiologist) also delineated all cavities to estimate interobserver variability. Jaccard overlap measure Ω was computed between the reference segmentation and the automatic segmentation; and between the reference segmentation and the independent observer's segmentation for all cavities. A median overlap Ω of 0.81 (0.76 ± 0.16), and 0.85 (0.82 ± 0.11) was achieved between the reference segmentation and the automatic segmentation, and between the segmentations by the two radiologists, respectively. The best reported mean contour distance and Hausdorff distance between the reference and the automatic segmentation were

  3. Integrating the Supervised Information into Unsupervised Learning

    Directory of Open Access Journals (Sweden)

    Ping Ling

    2013-01-01

    Full Text Available This paper presents an assembling unsupervised learning framework that adopts the information coming from the supervised learning process and gives the corresponding implementation algorithm. The algorithm consists of two phases: extracting and clustering data representatives (DRs firstly to obtain labeled training data and then classifying non-DRs based on labeled DRs. The implementation algorithm is called SDSN since it employs the tuning-scaled Support vector domain description to collect DRs, uses spectrum-based method to cluster DRs, and adopts the nearest neighbor classifier to label non-DRs. The validation of the clustering procedure of the first-phase is analyzed theoretically. A new metric is defined data dependently in the second phase to allow the nearest neighbor classifier to work with the informed information. A fast training approach for DRs’ extraction is provided to bring more efficiency. Experimental results on synthetic and real datasets verify that the proposed idea is of correctness and performance and SDSN exhibits higher popularity in practice over the traditional pure clustering procedure.

  4. Analysis on Wireless CBTC System for Automatic Train Stop Positioning%无线CBTC系统列车自动停站对位分析

    Institute of Scientific and Technical Information of China (English)

    赵晓峰

    2012-01-01

    介绍了ATO硬件设备及ATO连续制动定位停车原理,从车载ATO和轨旁ATP硬件设备以及软件角度深入分析了车站定位停车的各个操作状态(制动、预对准、停站等)和判定机制。此外,简要介绍了信号系统实时控制列车运行的自适应PI控制器算法。%From the hardware aspect it describes the on-board ATO continuous brake for train stop positioning. On-board ATO and trackside ATP hardware and software are further analyzed in the view of operating state of station position parking, including brake, prealignment, stop and other state, and confirming principle, In addition, signaling system real-time adaptive PI controller algorithm to control trains run is briefly described.

  5. Feature-space transformation improves supervised segmentation across scanners

    DEFF Research Database (Denmark)

    van Opbroek, Annegreet; Achterberg, Hakim C.; de Bruijne, Marleen

    2015-01-01

    Image-segmentation techniques based on supervised classification generally perform well on the condition that training and test samples have the same feature distribution. However, if training and test images are acquired with different scanners or scanning parameters, their feature distributions....... This transformation is learned from unlabeled images of subjects scanned on both the training scanner and the test scanner. We evaluated our method on hippocampus segmentation on 27 images of the Harmonized Hippocampal Protocol (HarP), a heterogeneous dataset consisting of 1.5T and 3T MR images. The results showed...... can be very different, which can hurt the performance of such techniques. We propose a feature-space-transformation method to overcome these differences in feature distributions. Our method learns a mapping of the feature values of training voxels to values observed in images from the test scanner...

  6. Integrated care requires integrated supervision

    OpenAIRE

    Ketelaars, Corry

    2011-01-01

    Introduction: Given recent developments in integrated care, it is becoming increasingly important for the Dutch Health Care Inspectorate to direct its supervision in a way that may help speed up the implementation of integrated care.Description of care practice: Since the implementation of integrated care for chronic patients is facing obstacles, alternative methods are required to ensure that the implementation process does not run into any delays. By applying a risk-based approach to integr...

  7. Medical supervision of radiation workers

    International Nuclear Information System (INIS)

    The first part of this volume describes the effects of radiation on living organism, both at the overall and at the molecular level. Special attention is paid to the metabolism and toxicity of radioactivity substances. The second part deals with radiological exposure, natural, medical and occupational. The third part provides data on radiological protection standards, and the fourth part addresses the health supervision of workers exposed to ionizing radiation, covering both physical and medical control.

  8. The Supervised Hierarchical Dirichlet Process.

    Science.gov (United States)

    Dai, Andrew M; Storkey, Amos J

    2015-02-01

    We propose the supervised hierarchical Dirichlet process (sHDP), a nonparametric generative model for the joint distribution of a group of observations and a response variable directly associated with that whole group. We compare the sHDP with another leading method for regression on grouped data, the supervised latent Dirichlet allocation (sLDA) model. We evaluate our method on two real-world classification problems and two real-world regression problems. Bayesian nonparametric regression models based on the Dirichlet process, such as the Dirichlet process-generalised linear models (DP-GLM) have previously been explored; these models allow flexibility in modelling nonlinear relationships. However, until now, hierarchical Dirichlet process (HDP) mixtures have not seen significant use in supervised problems with grouped data since a straightforward application of the HDP on the grouped data results in learnt clusters that are not predictive of the responses. The sHDP solves this problem by allowing for clusters to be learnt jointly from the group structure and from the label assigned to each group. PMID:26353239

  9. Semi-supervised dimensionality reduction using estimated class membership probabilities

    Science.gov (United States)

    Li, Wei; Ruan, Qiuqi; Wan, Jun

    2012-10-01

    In solving pattern-recognition tasks with partially labeled training data, the semi-supervised dimensionality reduction method, which considers both labeled and unlabeled data, is preferable for improving the classification and generalization capability of the testing data. Among such techniques, graph-based semi-supervised learning methods have attracted a lot of attention due to their appealing properties in discovering discriminative structure and geometric structure of data points. Although they have achieved remarkable success, they cannot promise good performance when the size of the labeled data set is small, as a result of inaccurate class matrix variance approximated by insufficient labeled training data. In this paper, we tackle this problem by combining class membership probabilities estimated from unlabeled data and ground-truth class information associated with labeled data to more precisely characterize the class distribution. Therefore, it is expected to enhance performance in classification tasks. We refer to this approach as probabilistic semi-supervised discriminant analysis (PSDA). The proposed PSDA is applied to face and facial expression recognition tasks and is evaluated using the ORL, Extended Yale B, and CMU PIE face databases and the Cohn-Kanade facial expression database. The promising experimental results demonstrate the effectiveness of our proposed method.

  10. Automatic segmentation of eight tissue classes in neonatal brain MRI.

    Directory of Open Access Journals (Sweden)

    Petronella Anbeek

    Full Text Available PURPOSE: Volumetric measurements of neonatal brain tissues may be used as a biomarker for later neurodevelopmental outcome. We propose an automatic method for probabilistic brain segmentation in neonatal MRIs. MATERIALS AND METHODS: In an IRB-approved study axial T1- and T2-weighted MR images were acquired at term-equivalent age for a preterm cohort of 108 neonates. A method for automatic probabilistic segmentation of the images into eight cerebral tissue classes was developed: cortical and central grey matter, unmyelinated and myelinated white matter, cerebrospinal fluid in the ventricles and in the extra cerebral space, brainstem and cerebellum. Segmentation is based on supervised pixel classification using intensity values and spatial positions of the image voxels. The method was trained and evaluated using leave-one-out experiments on seven images, for which an expert had set a reference standard manually. Subsequently, the method was applied to the remaining 101 scans, and the resulting segmentations were evaluated visually by three experts. Finally, volumes of the eight segmented tissue classes were determined for each patient. RESULTS: The Dice similarity coefficients of the segmented tissue classes, except myelinated white matter, ranged from 0.75 to 0.92. Myelinated white matter was difficult to segment and the achieved Dice coefficient was 0.47. Visual analysis of the results demonstrated accurate segmentations of the eight tissue classes. The probabilistic segmentation method produced volumes that compared favorably with the reference standard. CONCLUSION: The proposed method provides accurate segmentation of neonatal brain MR images into all given tissue classes, except myelinated white matter. This is the one of the first methods that distinguishes cerebrospinal fluid in the ventricles from cerebrospinal fluid in the extracerebral space. This method might be helpful in predicting neurodevelopmental outcome and useful for evaluating

  11. Automatic Segmentation of Eight Tissue Classes in Neonatal Brain MRI

    Science.gov (United States)

    Anbeek, Petronella; Išgum, Ivana; van Kooij, Britt J. M.; Mol, Christian P.; Kersbergen, Karina J.; Groenendaal, Floris; Viergever, Max A.; de Vries, Linda S.; Benders, Manon J. N. L.

    2013-01-01

    Purpose Volumetric measurements of neonatal brain tissues may be used as a biomarker for later neurodevelopmental outcome. We propose an automatic method for probabilistic brain segmentation in neonatal MRIs. Materials and Methods In an IRB-approved study axial T1- and T2-weighted MR images were acquired at term-equivalent age for a preterm cohort of 108 neonates. A method for automatic probabilistic segmentation of the images into eight cerebral tissue classes was developed: cortical and central grey matter, unmyelinated and myelinated white matter, cerebrospinal fluid in the ventricles and in the extra cerebral space, brainstem and cerebellum. Segmentation is based on supervised pixel classification using intensity values and spatial positions of the image voxels. The method was trained and evaluated using leave-one-out experiments on seven images, for which an expert had set a reference standard manually. Subsequently, the method was applied to the remaining 101 scans, and the resulting segmentations were evaluated visually by three experts. Finally, volumes of the eight segmented tissue classes were determined for each patient. Results The Dice similarity coefficients of the segmented tissue classes, except myelinated white matter, ranged from 0.75 to 0.92. Myelinated white matter was difficult to segment and the achieved Dice coefficient was 0.47. Visual analysis of the results demonstrated accurate segmentations of the eight tissue classes. The probabilistic segmentation method produced volumes that compared favorably with the reference standard. Conclusion The proposed method provides accurate segmentation of neonatal brain MR images into all given tissue classes, except myelinated white matter. This is the one of the first methods that distinguishes cerebrospinal fluid in the ventricles from cerebrospinal fluid in the extracerebral space. This method might be helpful in predicting neurodevelopmental outcome and useful for evaluating neuroprotective clinical

  12. A Supervised Classification Algorithm for Note Onset Detection

    Directory of Open Access Journals (Sweden)

    Douglas Eck

    2007-01-01

    Full Text Available This paper presents a novel approach to detecting onsets in music audio files. We use a supervised learning algorithm to classify spectrogram frames extracted from digital audio as being onsets or nononsets. Frames classified as onsets are then treated with a simple peak-picking algorithm based on a moving average. We present two versions of this approach. The first version uses a single neural network classifier. The second version combines the predictions of several networks trained using different hyperparameters. We describe the details of the algorithm and summarize the performance of both variants on several datasets. We also examine our choice of hyperparameters by describing results of cross-validation experiments done on a custom dataset. We conclude that a supervised learning approach to note onset detection performs well and warrants further investigation.

  13. Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles

    Science.gov (United States)

    Li, Ke; Ye, Chuyang; Yang, Zhen; Carass, Aaron; Ying, Sarah H.; Prince, Jerry L.

    2016-03-01

    Cerebellar peduncles (CPs) are white matter tracts connecting the cerebellum to other brain regions. Automatic segmentation methods of the CPs have been proposed for studying their structure and function. Usually the performance of these methods is evaluated by comparing segmentation results with manual delineations (ground truth). However, when a segmentation method is run on new data (for which no ground truth exists) it is highly desirable to efficiently detect and assess algorithm failures so that these cases can be excluded from scientific analysis. In this work, two outlier detection methods aimed to assess the performance of an automatic CP segmentation algorithm are presented. The first one is a univariate non-parametric method using a box-whisker plot. We first categorize automatic segmentation results of a dataset of diffusion tensor imaging (DTI) scans from 48 subjects as either a success or a failure. We then design three groups of features from the image data of nine categorized failures for failure detection. Results show that most of these features can efficiently detect the true failures. The second method—supervised classification—was employed on a larger DTI dataset of 249 manually categorized subjects. Four classifiers—linear discriminant analysis (LDA), logistic regression (LR), support vector machine (SVM), and random forest classification (RFC)—were trained using the designed features and evaluated using a leave-one-out cross validation. Results show that the LR performs worst among the four classifiers and the other three perform comparably, which demonstrates the feasibility of automatically detecting segmentation failures using classification methods.

  14. Implementability of Instructional Supervision as a Contemporary Educational Supervision Model in Turkish Education System

    Directory of Open Access Journals (Sweden)

    Hasan Basri Memduhoğlu

    2012-01-01

    Full Text Available In this study, implementability of instructional supervision as one of contemporary educational supervision models in Turkish Education System was evaluated. Instructional supervision which aims to develop instructional processes and increase the quality of student learning based on observation of classroom activities requires collaboration among supervisors and teachers. In this literature review, significant problems have been detected due to structural organization, structural and control-oriented supervision rather than guidance and counseling, conflicting supervisor roles, workload and inadequate time for supervision, standard assessment forms, professional incompetencies and negative attitudes of supervisors within the context of supervision subsystem of Turkish education system.

  15. Supervised exercise reduces cancer-related fatigue: a systematic review

    Directory of Open Access Journals (Sweden)

    José F Meneses-Echávez

    2015-01-01

    Full Text Available Question: Does supervised physical activity reduce cancer-related fatigue? Design: Systematic review with meta-analysis of randomised trials. Participants: People diagnosed with any type of cancer, without restriction to a particular stage of diagnosis or treatment. Intervention: Supervised physical activity interventions (eg, aerobic, resistance and stretching exercise, defined as any planned or structured body movement causing an increase in energy expenditure, designed to maintain or enhance health-related outcomes, and performed with systematic frequency, intensity and duration. Outcome measures: The primary outcome measure was fatigue. Secondary outcomes were physical and functional wellbeing assessed using the Functional Assessment of Cancer Therapy Fatigue Scale, European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire, Piper Fatigue Scale, Schwartz Cancer Fatigue Scale and the Multidimensional Fatigue Inventory. Methodological quality, including risk of bias of the studies, was evaluated using the PEDro Scale. Results: Eleven studies involving 1530 participants were included in the review. The assessment of quality showed a mean score of 6.5 (SD 1.1, indicating a low overall risk of bias. The pooled effect on fatigue, calculated as a standardised mean difference (SMD using a random-effects model, was –1.69 (95% CI –2.99 to –0.39. Beneficial reductions in fatigue were also found with combined aerobic and resistance training with supervision (SMD = –0.41, 95% CI –0.70 to –0.13 and with combined aerobic, resistance and stretching training with supervision (SMD = –0.67, 95% CI –1.17 to –0.17. Conclusion: Supervised physical activity interventions reduce cancer-related fatigue. These findings suggest that combined aerobic and resistance exercise regimens with or without stretching should be included as part of rehabilitation programs for people who have been diagnosed with cancer

  16. 49 CFR 236.566 - Locomotive of each train operating in train stop, train control or cab signal territory; equipped.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Locomotive of each train operating in train stop... OF SIGNAL AND TRAIN CONTROL SYSTEMS, DEVICES, AND APPLIANCES Automatic Train Stop, Train Control and Cab Signal Systems Rules and Instructions; Locomotives § 236.566 Locomotive of each train operating...

  17. Status Quo Of Drug Supervision in China

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    @@ Drugs are a special kind of commodity used to prevent,treat and diagnose diseases.Effective supervision of drugs has a great bearing on ensuring the safe use of pharmaceuticals by consumers and on safeguarding the right to lire and health of the general public.The Chinese government has always attached great importance to supervision over drug safety,and has always been commltted to the goal of strengthening such supervision and guaranteeing public drug safety.

  18. Amélioration de la supervision de la relation médecin-patient. Utilisation de la méthodologie des systèmes souples.

    OpenAIRE

    Bilodeau, A.; Côté, L

    1997-01-01

    PROBLEM ADDRESSED: To train residents adequately, major improvements in the supervision of the doctor-patient relationship were needed. OBJECTIVE OF THE PROGRAM: To improve supervision of residents' building and managing doctor-patient relationships. MAIN COMPONENTS OF THE PROGRAM: Using a program based on systems thinking, the teachers at one Quebec university introduced major changes: a reduction in the number of doctors involved in supervision; a common conceptual framework enabling superv...

  19. A Brain-like Learning System with Supervised, Unsupervised and Reinforcement Learning

    Science.gov (United States)

    Sasakawa, Takafumi; Hu, Jinglu; Hirasawa, Kotaro

    Our brain has three different learning paradigms: supervised, unsupervised and reinforcement learning. And it is suggested that those learning paradigms relate deeply to the cerebellum, cerebral cortex and basal ganglia in the brain, respectively. Inspired by these knowledge of brain, we present a brain-like learning system with those three different learning algorithms. The proposed system consists of three parts: the supervised learning (SL) part, the unsupervised learning (UL) part and the reinforcement learning (RL) part. The SL part, corresponding to the cerebellum of brain, learns an input-output mapping by supervised learning. The UL part, corresponding to the cerebral cortex of brain, is a competitive learning network, and divides an input space to subspaces by unsupervised learning. The RL part, corresponding to the basal ganglia of brain, optimizes the model performance by reinforcement learning. Numerical simulations show that the proposed brain-like learning system optimizes its performance automatically and has superior performance to an ordinary neural network.

  20. Definition and automatic anatomy recognition of lymph node zones in the pelvis on CT images

    Science.gov (United States)

    Liu, Yu; Udupa, Jayaram K.; Odhner, Dewey; Tong, Yubing; Guo, Shuxu; Attor, Rosemary; Reinicke, Danica; Torigian, Drew A.

    2016-03-01

    Currently, unlike IALSC-defined thoracic lymph node zones, no explicitly provided definitions for lymph nodes in other body regions are available. Yet, definitions are critical for standardizing the recognition, delineation, quantification, and reporting of lymphadenopathy in other body regions. Continuing from our previous work in the thorax, this paper proposes a standardized definition of the grouping of pelvic lymph nodes into 10 zones. We subsequently employ our earlier Automatic Anatomy Recognition (AAR) framework designed for body-wide organ modeling, recognition, and delineation to actually implement these zonal definitions where the zones are treated as anatomic objects. First, all 10 zones and key anatomic organs used as anchors are manually delineated under expert supervision for constructing fuzzy anatomy models of the assembly of organs together with the zones. Then, optimal hierarchical arrangement of these objects is constructed for the purpose of achieving the best zonal recognition. For actual localization of the objects, two strategies are used -- optimal thresholded search for organs and one-shot method for the zones where the known relationship of the zones to key organs is exploited. Based on 50 computed tomography (CT) image data sets for the pelvic body region and an equal division into training and test subsets, automatic zonal localization within 1-3 voxels is achieved.

  1. Automatic classification of retinal vessels into arteries and veins

    Science.gov (United States)

    Niemeijer, Meindert; van Ginneken, Bram; Abràmoff, Michael D.

    2009-02-01

    Separating the retinal vascular tree into arteries and veins is important for quantifying vessel changes that preferentially affect either the veins or the arteries. For example the ratio of arterial to venous diameter, the retinal a/v ratio, is well established to be predictive of stroke and other cardiovascular events in adults, as well as the staging of retinopathy of prematurity in premature infants. This work presents a supervised, automatic method that can determine whether a vessel is an artery or a vein based on intensity and derivative information. After thinning of the vessel segmentation, vessel crossing and bifurcation points are removed leaving a set of vessel segments containing centerline pixels. A set of features is extracted from each centerline pixel and using these each is assigned a soft label indicating the likelihood that it is part of a vein. As all centerline pixels in a connected segment should be the same type we average the soft labels and assign this average label to each centerline pixel in the segment. We train and test the algorithm using the data (40 color fundus photographs) from the DRIVE database1 with an enhanced reference standard. In the enhanced reference standard a fellowship trained retinal specialist (MDA) labeled all vessels for which it was possible to visually determine whether it was a vein or an artery. After applying the proposed method to the 20 images of the DRIVE test set we obtained an area under the receiver operator characteristic (ROC) curve of 0.88 for correctly assigning centerline pixels to either the vein or artery classes.

  2. Diversity Competent Group Work Supervision: An Application of the Supervision of Group Work Model (SGW)

    Science.gov (United States)

    Okech, Jane E. Atieno; Rubel, Deborah

    2007-01-01

    This article emphasizes the need for concrete descriptions of supervision to promote diversity-competent group work and presents an application of the supervision of group work model (SGW) to this end. The SGW, a supervision model adapted from the discrimination model, is uniquely suited for promoting diversity competence in group work, since it…

  3. Empirical study of supervised gene screening

    Directory of Open Access Journals (Sweden)

    Ma Shuangge

    2006-12-01

    Full Text Available Abstract Background Microarray studies provide a way of linking variations of phenotypes with their genetic causations. Constructing predictive models using high dimensional microarray measurements usually consists of three steps: (1 unsupervised gene screening; (2 supervised gene screening; and (3 statistical model building. Supervised gene screening based on marginal gene ranking is commonly used to reduce the number of genes in the model building. Various simple statistics, such as t-statistic or signal to noise ratio, have been used to rank genes in the supervised screening. Despite of its extensive usage, statistical study of supervised gene screening remains scarce. Our study is partly motivated by the differences in gene discovery results caused by using different supervised gene screening methods. Results We investigate concordance and reproducibility of supervised gene screening based on eight commonly used marginal statistics. Concordance is assessed by the relative fractions of overlaps between top ranked genes screened using different marginal statistics. We propose a Bootstrap Reproducibility Index, which measures reproducibility of individual genes under the supervised screening. Empirical studies are based on four public microarray data. We consider the cases where the top 20%, 40% and 60% genes are screened. Conclusion From a gene discovery point of view, the effect of supervised gene screening based on different marginal statistics cannot be ignored. Empirical studies show that (1 genes passed different supervised screenings may be considerably different; (2 concordance may vary, depending on the underlying data structure and percentage of selected genes; (3 evaluated with the Bootstrap Reproducibility Index, genes passed supervised screenings are only moderately reproducible; and (4 concordance cannot be improved by supervised screening based on reproducibility.

  4. 19 CFR 146.4 - Operator responsibility and supervision.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 2 2010-04-01 2010-04-01 false Operator responsibility and supervision. 146.4... and supervision. (a) Supervision. The operator shall supervise all admissions, transfers, removals... conditions of storage in the zone as required by law and regulations. Supervision by the operator shall...

  5. Customers Behavior Modeling by Semi-Supervised Learning in Customer Relationship Management

    CERN Document Server

    Emtiyaz, Siavash; 10.4156/AISS.vol3.issue9.31

    2012-01-01

    Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies in this information age. Data mining technologies extract hidden information and knowledge from large data stored in databases or data warehouses, thereby supporting the corporate decision making process. CRM uses data mining (one of the elements of CRM) techniques to interact with customers. This study investigates the use of a technique, semi-supervised learning, for the management and analysis of customer-related data warehouse and information. The idea of semi-supervised learning is to learn not only from the labeled training data, but to exploit also the structural information in additionally available unlabeled data. The proposed semi-supervised method is a model by means of a feed-forward neural network trained by a back propagation algorithm (multi-layer perceptron) in order to predict the category of an unknown customer (potential cus...

  6. Semi-Supervised Eigenbasis Novelty Detection

    Science.gov (United States)

    Wagstaff, Kiri L.; Thompson, David R.

    2013-01-01

    Recent discoveries in high-time-resolution radio astronomy data have focused attention on a new class of events. Fast transients are rare pulses of radio frequency energy lasting from microseconds to seconds that might be produced by a variety of exotic astrophysical phenomena. For example, X-ray bursts, neutron stars, and active galactic nuclei are all possible sources of short-duration, transient radio signals. It is difficult to anticipate where such signals might appear, and they are most commonly discovered through analysis of high-time- resolution data that had been collected for other purposes. Transients are often faint and difficult to detect, so improved detection algorithms can directly benefit the science yield of all such commensal monitoring. A new detection algorithm learns a low-dimensional linear manifold for describing the normal data. High reconstruction error indicates a novel signal that does not match the patterns of normal data. One unsupervised portion of the manifold model adapts its representation in response to recent data. A second supervised portion of the model is made of a basis trained in advance using labeled examples of RFI; this prevents false positives due to these events. For a linear model, an orthonormalization operation is used to combine these bases prior to the anomaly detection decision. Another novel aspect of the approach lies in combining basis vectors learned in an unsupervised, online fashion from the data stream with supervised basis vectors learned in advance from known examples of false alarms. Adaptive, data-driven detection is achieved that is also informed by existing domain knowledge about signals that may be statistically anomalous, but are not interesting and should therefore be ignored. The method was evaluated using data from the Parkes Multibeam Survey. This data set was originally collected to search for pulsars, which are astronomical sources that emit radio pulses at regular periods. However, several

  7. Issues and Ideas: Organization, Administration and Supervision.

    Science.gov (United States)

    Miller, Irving

    1982-01-01

    This article discusses the basic characteristics of organization, administration, supervision, and specific problems of human service organizations and relates them to the concept of power. The author proposes an integration of the two models of supervision so that the administrative and teaching functions will both be served. (Author)

  8. Applying Services Marketing Principles to Postgraduate Supervision

    Science.gov (United States)

    Dann, Stephen

    2008-01-01

    Purpose: The paper aims to describe the application of two key service quality frameworks for improving the delivery of postgraduate research supervision. The services quality frameworks are used to identify key areas of overlap between services marketing practice and postgraduate supervision that can be used by the supervisor to improve research…

  9. The Agile Approach with Doctoral Dissertation Supervision

    Science.gov (United States)

    Tengberg, Lars Göran Wallgren

    2015-01-01

    Several research findings conclude that many doctoral students fail to complete their studies within the allowable time frame, in part because of problems related to the research and supervision process. Surveys show that most doctoral students are generally satisfied with their dissertation supervision. However, these surveys also reveal some…

  10. Ethical Issues in the Conduct of Supervision.

    Science.gov (United States)

    Sherry, Patrick

    1991-01-01

    Uses American Psychological Association code of ethics to understand ethical issues present in the conduct of supervision. Discusses ethical issues of responsibility, client and supervisee welfare, confidentiality, competency, moral and legal standards, public statements, and professional relationships in relation to supervision. (Author/NB)

  11. 32 CFR 552.65 - Command supervision.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 3 2010-07-01 2010-07-01 true Command supervision. 552.65 Section 552.65 National Defense Department of Defense (Continued) DEPARTMENT OF THE ARMY MILITARY RESERVATIONS AND....65 Command supervision. (a) All insurance business conducted on Army installation will be...

  12. 28 CFR 551.32 - Staff supervision.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Staff supervision. 551.32 Section 551.32 Judicial Administration BUREAU OF PRISONS, DEPARTMENT OF JUSTICE INSTITUTIONAL MANAGEMENT MISCELLANEOUS Inmate Organizations § 551.32 Staff supervision. (a) The Warden shall appoint a staff member as...

  13. 9 CFR 145.11 - Supervision.

    Science.gov (United States)

    2010-01-01

    ... 9 Animals and Animal Products 1 2010-01-01 2010-01-01 false Supervision. 145.11 Section 145.11 Animals and Animal Products ANIMAL AND PLANT HEALTH INSPECTION SERVICE, DEPARTMENT OF AGRICULTURE... Supervision. (a) The Official State Agency may designate qualified persons as Authorized Agents to do...

  14. How Does Supervision Support Inclusive Teacherhood?

    Science.gov (United States)

    Alila, Sanna; Määttä, Kaarina; Uusiautti, Satu

    2016-01-01

    Supervision is a multidimensional concept and phenomenon. In this study, the advantages of supervision and its development in inclusive teacherhood was studied. Inclusive teacherhood means a teacher's professional development and the school culture's change toward participatory school for all students. The study analyzed the views of supervisors…

  15. 21 CFR 640.62 - Medical supervision.

    Science.gov (United States)

    2010-04-01

    ... 21 Food and Drugs 7 2010-04-01 2010-04-01 false Medical supervision. 640.62 Section 640.62 Food and Drugs FOOD AND DRUG ADMINISTRATION, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) BIOLOGICS ADDITIONAL STANDARDS FOR HUMAN BLOOD AND BLOOD PRODUCTS Source Plasma § 640.62 Medical supervision....

  16. 36 CFR 25.3 - Supervision; suspensions.

    Science.gov (United States)

    2010-07-01

    ... 36 Parks, Forests, and Public Property 1 2010-07-01 2010-07-01 false Supervision; suspensions. 25.3 Section 25.3 Parks, Forests, and Public Property NATIONAL PARK SERVICE, DEPARTMENT OF THE INTERIOR NATIONAL MILITARY PARKS; LICENSED GUIDE SERVICE REGULATIONS § 25.3 Supervision; suspensions. (a) The...

  17. 27 CFR 70.609 - Supervision.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 2 2010-04-01 2010-04-01 false Supervision. 70.609... From Disaster, Vandalism, or Malicious Mischief Destruction of Liquors § 70.609 Supervision. When... official or made unmarketable, the liquors shall be destroyed by suitable means under...

  18. 17 CFR 166.3 - Supervision.

    Science.gov (United States)

    2010-04-01

    ... 17 Commodity and Securities Exchanges 1 2010-04-01 2010-04-01 false Supervision. 166.3 Section 166.3 Commodity and Securities Exchanges COMMODITY FUTURES TRADING COMMISSION CUSTOMER PROTECTION RULES § 166.3 Supervision. Each Commission registrant, except an associated person who has no...

  19. Designing High Performance Schools through Instructional Supervision.

    Science.gov (United States)

    Duffy, Francis M.

    This paper summarizes a new paradigm of instructional supervision, which shifts the focus from individual behavior to the improvement of work processes and social system components of the school district. The proposed paradigm, the Knowledge Work Supervision model, is derived from sociotechnical systems design theory and linked to the premise that…

  20. 19 CFR 146.3 - Customs supervision.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 2 2010-04-01 2010-04-01 false Customs supervision. 146.3 Section 146.3 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY; DEPARTMENT OF THE TREASURY (CONTINUED) FOREIGN TRADE ZONES General Provisions § 146.3 Customs supervision. (a) Assignment of...

  1. State Supervision and Control of Radiation Protection

    CERN Document Server

    2001-01-01

    Radiation Protection Centre is carrying state supervision and control of radiation protection. The main objective of state supervision and control of radiation protection is assessing how licensees comply with requirements of the appropriate legislation and enforcement. Summary of inspections conducted in 1999-2001 is presented.

  2. State Radiation Protection Supervision and Control

    CERN Document Server

    2002-01-01

    Radiation Protection Centre is carrying state supervision and control of radiation protection. The main objective of state supervision and control of radiation protection is assessing how licensees comply with requirements of the appropriate legislation and enforcement. Summary of inspections conducted in 2002 is presented.

  3. Family Nurse Partnership: why supervision matters.

    Science.gov (United States)

    Andrews, Lindsayws

    First-time teenage mothers and their babies are likely to have increased levels of need. This article explores how supervision supports Family Nurse Partnership (FNP) nurses to undertake complex work with teenage, first-time mothers and their babies. Careful application of a supervision model can provide the structure for a safe, containing, reflective space. PMID:27145652

  4. A Gestalt Approach to Group Supervision

    Science.gov (United States)

    Melnick, Joseph; Fall, Marijane

    2008-01-01

    The authors define and then describe the practice of group supervision. The role of creative experiment in assisting supervisees who perceive themselves as confused, moving in circles, or immobilized is described. Fictional case examples illustrate these issues in supervision. The authors posit the "good fit" of Gestalt theory and techniques with…

  5. Supervision of Psychotherapy: Models, Issues, and Recommendations

    Science.gov (United States)

    Westefeld, John S.

    2009-01-01

    Current models and issues related to psychotherapy supervision are examined. These include ethical and legal issues, problems of interpersonal competence, and multicultural issues. As a part of this analysis, interviews about supervision with five prominent counseling psychologists are included to provide their perspectives. Implications for the…

  6. Nondisclosure in psychotherapy group supervision

    DEFF Research Database (Denmark)

    Reichelt, Sissel; Gullestad, Siri Erika; Hansen, Bjørg Røed;

    2009-01-01

    -constructive criticism. They felt that their supervisors withheld feedback on their work, as well as advise on what to do, and would like more of this. Several of them thought of the lack of feedback as a conscious strategy helping the students to find out for themselves. A rather striking finding was that a high number......The aim of this study was to investigate aspects of nondisclosure in a sample of 55 student therapists, working within a group format of supervision. The study constituted one part of a larger study, with the other, parallel part addressing nondisclosure in supervisors. The participants were...... to the supervisory relationship, fearing that they would hurt their supervisor or be met with criticism or interpretation. They were also reluctant to talk to their supervisors about professional matters, particularly related to the perceived incompetence of their supervisors and their expectancy of non...

  7. Looking for underlying features in automatic and reviewed seismic bulletins through a neural network

    Science.gov (United States)

    Carluccio, R.; Console, R.; Chiappini, M.; Chiappini, S.

    2009-12-01

    SEL1 bulletins are, among all IDC products, a fundamental tool for NDCs in their task of national assessment of compliance with the CTBT. This is because SEL1s are expected to be disseminated within 2 hours from the occurrence of any detected waveform event, and the National Authorities are supposed to take a political decision in nearly real time, especially in the case when the event could triggers the request for an on site inspection. In this context not only the rapidity, but also the reliability of the SEL1 is a fundamental requirement. Our last years experience gained in the comparison between SEL1 and Italian Seismic Bulletin events has shown that SEL1s usually contain a big fraction of bogus events (sometimes close to 50%). This is due to many factors, all related to the availability of processing data and to the fast automatic algorithms involved. On the other hand, REBs are much more reliable as proved by our experience. Therefore, in spite of their relevant time delay by which they are distributed, which prevents their real-time use, REBs can be still useful in a retrospective way as reference information for comparison with SEL1s. This study tries to set up a sort of logical filter on the SEL1s that, while maintaining the rapidity requirements, improves their reliability. Our idea is based on the assumption that the SEL1s are produced by systematic algorithm of phase association and therefore some patterns among the input and output data could exist and be recognized. Our approach was initially based on a set of rules suggested by human experts on their personal experience, and its application on large datasets on a global scale. Other approaches not involving human interaction (data mining techniques) do exist. This study refers specifically to a semi-automatic approach: fitting of multi-parametric relationships hidden in the data set, through the application of neural networks by an algorithm of supervised learning. Full SEL1 and REB bulletins from

  8. Active constraints selection based semi-supervised dimensionality in ensemble subspaces

    Institute of Scientific and Technical Information of China (English)

    Jie Zeng; Wei Nie; Yong Zhang

    2015-01-01

    Semi-supervised dimensionality reduction (SSDR) has attracted an increasing amount of attention in this big-data era. Many algorithms have been developed with a smal number of pairwise constraints to achieve performances comparable to those of ful y supervised methods. However, one chal enging problem with semi-supervised approaches is the appropriate choice of the constraint set, including the cardinality and the composition of the constraint set, which to a large extent, affects the performance of the resulting algorithm. In this work, we address the problem by incorporating ensemble subspace and active learning into dimen-sionality reduction and propose a new algorithm, termed as global and local scatter based SSDR with active pairwise constraints selection in ensemble subspaces (SSGL-ESA). Unlike traditional methods that select the supervised information in one subspace, we pick up pairwise constraints in ensemble subspace, where a novel active learning algorithm is designed with both exploration and filtering to generate informative pairwise constraints. The auto-matic constraint selection approach proposed in this paper can be generalized to be used with al constraint-based semi-supervised learning algorithms. Comparative experiments are conducted on two face database and the results validate the effectiveness of the proposed method.

  9. Partnerships in Professional Learning: The Supervision Casebook--An Action Learning Resource.

    Science.gov (United States)

    Lange, John D.; Burroughs-Lange, Sue G.

    The supervision of neophytes in all professional vocations is a complex and multifaceted process and not really achieved without adequate training and experience. This project's aim was to develop innovative, problem solving, teaching resources in the form of "case knowledge" episodes to provide "strategic knowing" activities for supervisors of…

  10. Supervised Experience Programs in Career Education: A Must in Agribusiness Education

    Science.gov (United States)

    Binkley, Harold

    1973-01-01

    Experience programs are the training and development arm of the program in agribusiness education. The profession must be united in its belief and conviction that supervised experience programs of high quality are necessary if agribusiness education is to meet its future challenges and responsibilities. (KP)

  11. SUPERVISED LEARNING METHODS FOR BANGLA WEB DOCUMENT CATEGORIZATION

    Directory of Open Access Journals (Sweden)

    Ashis Kumar Mandal

    2014-09-01

    Full Text Available This paper explores the use of machine learning approaches, or more specifically, four supervised learning Methods, namely Decision Tree(C 4.5, K-Nearest Neighbour (KNN, Naïve Bays (NB, and Support Vector Machine (SVM for categorization of Bangla web documents. This is a task of automatically sorting a set of documents into categories from a predefined set. Whereas a wide range of methods have been applied to English text categorization, relatively few studies have been conducted on Bangla language text categorization. Hence, we attempt to analyze the efficiency of those four methods for categorization of Bangla documents. In order to validate, Bangla corpus from various websites has been developed and used as examples for the experiment. For Bangla, empirical results support that all four methods produce satisfactory performance with SVM attaining good result in terms of high dimensional and relatively noisy document feature vectors.

  12. Automatic Hierarchical Color Image Classification

    Directory of Open Access Journals (Sweden)

    Jing Huang

    2003-02-01

    Full Text Available Organizing images into semantic categories can be extremely useful for content-based image retrieval and image annotation. Grouping images into semantic classes is a difficult problem, however. Image classification attempts to solve this hard problem by using low-level image features. In this paper, we propose a method for hierarchical classification of images via supervised learning. This scheme relies on using a good low-level feature and subsequently performing feature-space reconfiguration using singular value decomposition to reduce noise and dimensionality. We use the training data to obtain a hierarchical classification tree that can be used to categorize new images. Our experimental results suggest that this scheme not only performs better than standard nearest-neighbor techniques, but also has both storage and computational advantages.

  13. Automatic detection of informative frames from wireless capsule endoscopy images.

    Science.gov (United States)

    Bashar, M K; Kitasaka, T; Suenaga, Y; Mekada, Y; Mori, K

    2010-06-01

    .42% and 84.45%) with the final experiment, when compared with the same color features followed by conventional Gabor-based (78.18% and 76.29%) and discrete wavelet-based (65.43% and 63.83%) texture features. Although intra-video training-testing cases are typical choices for supervised classification in Step-1, combining a suitable number of training sets using a subset of the input videos was shown to be possible. This mixing not only reduced computation costs but also produced better detection accuracies by minimizing visual-selection errors, especially when processing large numbers of WCE videos. PMID:20137998

  14. Automated cell analysis tool for a genome-wide RNAi screen with support vector machine based supervised learning

    Science.gov (United States)

    Remmele, Steffen; Ritzerfeld, Julia; Nickel, Walter; Hesser, Jürgen

    2011-03-01

    RNAi-based high-throughput microscopy screens have become an important tool in biological sciences in order to decrypt mostly unknown biological functions of human genes. However, manual analysis is impossible for such screens since the amount of image data sets can often be in the hundred thousands. Reliable automated tools are thus required to analyse the fluorescence microscopy image data sets usually containing two or more reaction channels. The herein presented image analysis tool is designed to analyse an RNAi screen investigating the intracellular trafficking and targeting of acylated Src kinases. In this specific screen, a data set consists of three reaction channels and the investigated cells can appear in different phenotypes. The main issue of the image processing task is an automatic cell segmentation which has to be robust and accurate for all different phenotypes and a successive phenotype classification. The cell segmentation is done in two steps by segmenting the cell nuclei first and then using a classifier-enhanced region growing on basis of the cell nuclei to segment the cells. The classification of the cells is realized by a support vector machine which has to be trained manually using supervised learning. Furthermore, the tool is brightness invariant allowing different staining quality and it provides a quality control that copes with typical defects during preparation and acquisition. A first version of the tool has already been successfully applied for an RNAi-screen containing three hundred thousand image data sets and the SVM extended version is designed for additional screens.

  15. Semi-automatic knee cartilage segmentation

    Science.gov (United States)

    Dam, Erik B.; Folkesson, Jenny; Pettersen, Paola C.; Christiansen, Claus

    2006-03-01

    Osteo-Arthritis (OA) is a very common age-related cause of pain and reduced range of motion. A central effect of OA is wear-down of the articular cartilage that otherwise ensures smooth joint motion. Quantification of the cartilage breakdown is central in monitoring disease progression and therefore cartilage segmentation is required. Recent advances allow automatic cartilage segmentation with high accuracy in most cases. However, the automatic methods still fail in some problematic cases. For clinical studies, even if a few failing cases will be averaged out in the overall results, this reduces the mean accuracy and precision and thereby necessitates larger/longer studies. Since the severe OA cases are often most problematic for the automatic methods, there is even a risk that the quantification will introduce a bias in the results. Therefore, interactive inspection and correction of these problematic cases is desirable. For diagnosis on individuals, this is even more crucial since the diagnosis will otherwise simply fail. We introduce and evaluate a semi-automatic cartilage segmentation method combining an automatic pre-segmentation with an interactive step that allows inspection and correction. The automatic step consists of voxel classification based on supervised learning. The interactive step combines a watershed transformation of the original scan with the posterior probability map from the classification step at sub-voxel precision. We evaluate the method for the task of segmenting the tibial cartilage sheet from low-field magnetic resonance imaging (MRI) of knees. The evaluation shows that the combined method allows accurate and highly reproducible correction of the segmentation of even the worst cases in approximately ten minutes of interaction.

  16. Semi Supervised Weighted K-Means Clustering for Multi Class Data Classification

    Directory of Open Access Journals (Sweden)

    Vijaya Geeta Dharmavaram

    2013-01-01

    Full Text Available Supervised Learning techniques require large number of labeled examples to train a classifier model. Research on Semi Supervised Learning is motivated by the availability of unlabeled examples in abundance even in domains with limited number of labeled examples. In such domains semi supervised classifier uses the results of clustering for classifier development since clustering does not rely only on labeled examples as it groups the objects based on their similarities. In this paper, the authors propose a new algorithm for semi supervised classification namely Semi Supervised Weighted K-Means (SSWKM. In this algorithm, the authors suggest the usage of weighted Euclidean distance metric designed as per the purpose of clustering for estimating the proximity between a pair of points and used it for building semi supervised classifier. The authors propose a new approach for estimating the weights of features by appropriately adopting the results of multiple discriminant analysis. The proposed method was then tested on benchmark datasets from UCI repository with varied percentage of labeled examples and found to be consistent and promising.

  17. Supervision and feedback for junior medical staff in Australian emergency departments: findings from the emergency medicine capacity assessment study

    Directory of Open Access Journals (Sweden)

    Weiland Tracey J

    2010-11-01

    Full Text Available Abstract Background Clinical supervision and feedback are important for the development of competency in junior doctors. This study aimed to determine the adequacy of supervision of junior medical staff in Australian emergency departments (EDs and perceived feedback provided. Methods Semi-structured telephone surveys sought quantitative and qualitative data from ED Directors, Directors of Emergency Medicine Training, registrars and interns in 37 representative Australian hospitals; quantitative data were analysed with SPSS 15.0 and qualitative data subjected to content analysis identifying themes. Results Thirty six of 37 hospitals took part. Of 233 potential interviewees, 95 (40.1% granted interviews including 100% (36/36 of ED Directors, and 96.2% (25/26 of eligible DEMTs, 24% (19/81 of advanced trainee/registrars, and 17% (15/90 of interns. Most participants (61% felt the ED was adequately supervised in general and (64.2% that medical staff were adequately supervised. Consultants and registrars were felt to provide most intern supervision, but this varied depending on shift times, with registrars more likely to provide supervision on night shift and at weekends. Senior ED medical staff (64% and junior staff (79% agreed that interns received adequate clinical supervision. Qualitative analysis revealed that good processes were in place to ensure adequate supervision, but that service demands, particularly related to access block and overcrowding, had detrimental effects on both supervision and feedback. Conclusions Consultants appear to provide the majority of supervision of junior medical staff in Australian EDs. Supervision and feedback are generally felt to be adequate, but are threatened by service demands, particularly related to access block and ED overcrowding.

  18. Design of Integrated Supervision Control System for Driverless Line%无人驾驶线路的综合监控系统设计

    Institute of Scientific and Technical Information of China (English)

    2013-01-01

      介绍了广州市珠江新城旅客自动输送系统基于“列车无人驾驶,车站无人值守”设计理念的综合监控系统(Integrated Supervision Control System,简称“ISCS”)方案。该线路ISCS系统是一个高度集成的综合自动化监控系统。相比于常规线路的系统设计,着重突出优化系统网络构架,强化控制中心功能,增强远程联动控制等方面,对列车运行和系统设备进行监控和管理,实现线路的安全高效运营,提高线路的运营服务水平。%This paper introduces the design programme of Guangzhou APM Integrated Supervision Control System(ISCS) based on the design concept of driverless train and unattended station. APM ISCS is an automatic monitoring and controlling system with highly integrated. Compared to the system design of conventional line, APM ISCS emphasized the optimization of system network architecture, strengthened the center controlling functions, enhanced the remote control, monitored and managed the operation of train and equipment, realized the safe and efficient operation of line, and improved the service quality of line.

  19. Effects of Anxiety on Novice Genetic Counseling Students' Experience of Supervised Clinical Rotations.

    Science.gov (United States)

    MacFarlane, Ian M; McCarthy Veach, Pat; Grier, Janelle E; Meister, Derek J; LeRoy, Bonnie S

    2016-08-01

    Supervised clinical experiences with patients comprise a critical component of genetic counseling student education. Previous research has found genetic counseling students tend to be more anxiety prone than the general population, and anxiety related to supervision has been found in genetic counseling and related fields. The present study investigated how anxiety affects the experience of supervision for genetic counseling students. Second year genetic counseling students were invited to participate through email invitations distributed via training directors of the 33 programs accredited at the time of the study by the American Board of Genetic Counseling. An initial online survey contained the trait scale of the State-Trait Anxiety Inventory to estimate anxiety proneness in this population and an invitation to participate in a 45-minute semi-structured phone interview focusing on students' experiences of supervision during their clinical rotations. High and low trait anxiety groups were created using STAI scores, and the groups' interview responses were compared using consensual qualitative research methodology (CQR; Hill 2012). The high anxiety group was more likely to describe problematic supervisory relationships, appreciate the supervisor's ability to help them when they get stuck in sessions, and feel their anxiety had a negative effect on their performance in general and in supervision. Common themes included supervisors' balancing support and guidance, the importance of feedback, ego-centric responses, and supervisors as focal points. The results of the present study are largely consistent with current literature. Further research findings and research, practice, and training recommendations are provided. PMID:27098419

  20. Automatic diagnosis of retinal diseases from color retinal images

    OpenAIRE

    Jayanthi, D.; N. Devi; SwarnaParvathi, S.

    2010-01-01

    Teleophthalmology holds a great potential to improve the quality, access, and affordability in health care. For patients, it can reduce the need for travel and provide the access to a superspecialist. Ophthalmology lends itself easily to telemedicine as it is a largely image based diagnosis. The main goal of the proposed system is to diagnose the type of disease in the retina and to automatically detect and segment retinal diseases without human supervision or interaction. The proposed system...

  1. Supervised Classification Methods for Seismic Phase Identification

    Science.gov (United States)

    Schneider, Jeff; Given, Jeff; Le Bras, Ronan; Fisseha, Misrak

    2010-05-01

    The Comprehensive Nuclear Test Ban Treaty Organization (CTBTO) is tasked with monitoring compliance with the CTBT. The organization is installing the International Monitoring System (IMS), a global network of seismic, hydroacoustic, infrasound, and radionuclide sensor stations. The International Data Centre (IDC) receives the data from seismic stations either in real time or on request. These data are first processed on a station per station basis. This initial step yields discrete detections which are then assembled on a network basis (with the addition of hydroacoustic and infrasound data) to produce automatic and analyst reviewed bulletins containing seismic, hydroacoustic, and infrasound detections. The initial station processing step includes the identification of seismic and acoustic phases which are given a label. Subsequent network processing relies on this preliminary labeling, and as a consequence, the accuracy and reliability of automatic and reviewed bulletins also depend on this initial step. A very large ground truth database containing massive amounts of detections with analyst-reviewed labels is available to improve on the current operational system using machine learning methods. An initial study using a limited amount of data was conducted during the ISS09 project of the CTBTO. Several classification methods were tested: decision tree with bagging; logistic regression; neural networks trained with back-propagation; Bayesian networks as generative class models; naive Bayse classification; support vector machines. The initial assessment was that the phase identification process could be improved by at least 13% over the current operational system and that the method obtaining the best results was the decision tree with bagging. We present the results of a study using a much larger learning dataset and preliminary implementation results.

  2. Maximum margin semi-supervised learning with irrelevant data.

    Science.gov (United States)

    Yang, Haiqin; Huang, Kaizhu; King, Irwin; Lyu, Michael R

    2015-10-01

    Semi-supervised learning (SSL) is a typical learning paradigms training a model from both labeled and unlabeled data. The traditional SSL models usually assume unlabeled data are relevant to the labeled data, i.e., following the same distributions of the targeted labeled data. In this paper, we address a different, yet formidable scenario in semi-supervised classification, where the unlabeled data may contain irrelevant data to the labeled data. To tackle this problem, we develop a maximum margin model, named tri-class support vector machine (3C-SVM), to utilize the available training data, while seeking a hyperplane for separating the targeted data well. Our 3C-SVM exhibits several characteristics and advantages. First, it does not need any prior knowledge and explicit assumption on the data relatedness. On the contrary, it can relieve the effect of irrelevant unlabeled data based on the logistic principle and maximum entropy principle. That is, 3C-SVM approaches an ideal classifier. This classifier relies heavily on labeled data and is confident on the relevant data lying far away from the decision hyperplane, while maximally ignoring the irrelevant data, which are hardly distinguished. Second, theoretical analysis is provided to prove that in what condition, the irrelevant data can help to seek the hyperplane. Third, 3C-SVM is a generalized model that unifies several popular maximum margin models, including standard SVMs, Semi-supervised SVMs (S(3)VMs), and SVMs learned from the universum (U-SVMs) as its special cases. More importantly, we deploy a concave-convex produce to solve the proposed 3C-SVM, transforming the original mixed integer programming, to a semi-definite programming relaxation, and finally to a sequence of quadratic programming subproblems, which yields the same worst case time complexity as that of S(3)VMs. Finally, we demonstrate the effectiveness and efficiency of our proposed 3C-SVM through systematical experimental comparisons. PMID

  3. Supervision over technological and measurement processes

    Directory of Open Access Journals (Sweden)

    T. Karkoszka

    2011-01-01

    Full Text Available Purpose: of the paper has been an attainment of the thesis: “If there is something we can define, we can measure it. If there is something we can measure, we can analyse that. If there is something we can analyse, we can supervise that. If there is something we can supervise, we can improve that [1]”.Design/methodology/approach: used for the analysis has covered proposition of the supervision over measurement processes system that can be applied in quality assurance.Findings: of analysis are as follows: system of supervision over measurement processes performed (in compliance with real, realised in an organisation processes, can assure the achievement of the accurate and reliable results that, being the base of any feedback in any process, have fundamental meaning in making appropriate decisions.Practical implications: can be applied in case of any organisation, wanting to demonstrate the conformity of processes in the range of requirements that apply to: products, workers, natural environment and others by supervision over measurement equipment.Originality/value: of the presented paper has been obtained by working out the design of supervision over measurement system, also measurement system capability, which should be supplement for supervision over processes system in the assurance of processes and products quality.

  4. Tele-Supervised Adaptive Ocean Sensor Fleet

    Science.gov (United States)

    Lefes, Alberto; Podnar, Gregg W.; Dolan, John M.; Hosler, Jeffrey C.; Ames, Troy J.

    2009-01-01

    The Tele-supervised Adaptive Ocean Sensor Fleet (TAOSF) is a multi-robot science exploration architecture and system that uses a group of robotic boats (the Ocean-Atmosphere Sensor Integration System, or OASIS) to enable in-situ study of ocean surface and subsurface characteristics and the dynamics of such ocean phenomena as coastal pollutants, oil spills, hurricanes, or harmful algal blooms (HABs). The OASIS boats are extended- deployment, autonomous ocean surface vehicles. The TAOSF architecture provides an integrated approach to multi-vehicle coordination and sliding human-vehicle autonomy. One feature of TAOSF is the adaptive re-planning of the activities of the OASIS vessels based on sensor input ( smart sensing) and sensorial coordination among multiple assets. The architecture also incorporates Web-based communications that permit control of the assets over long distances and the sharing of data with remote experts. Autonomous hazard and assistance detection allows the automatic identification of hazards that require human intervention to ensure the safety and integrity of the robotic vehicles, or of science data that require human interpretation and response. Also, the architecture is designed for science analysis of acquired data in order to perform an initial onboard assessment of the presence of specific science signatures of immediate interest. TAOSF integrates and extends five subsystems developed by the participating institutions: Emergent Space Tech - nol ogies, Wallops Flight Facility, NASA s Goddard Space Flight Center (GSFC), Carnegie Mellon University, and Jet Propulsion Laboratory (JPL). The OASIS Autonomous Surface Vehicle (ASV) system, which includes the vessels as well as the land-based control and communications infrastructure developed for them, controls the hardware of each platform (sensors, actuators, etc.), and also provides a low-level waypoint navigation capability. The Multi-Platform Simulation Environment from GSFC is a surrogate

  5. Overcoming difficult conversations in clinical supervision

    Directory of Open Access Journals (Sweden)

    Williams B

    2016-06-01

    Full Text Available Brett Williams,1 Christine King,1 Tanya Edlington,21Department of Community Emergency Health and Paramedic Practice, Monash University, Franskton, VIC, 2The Conversation Clinic Pty Ltd, Melbourne, VIC, Australia Background: Clinical supervisors are responsible for managing many facets of clinical learning and face a range of challenges when the need for "difficult" conversations arises, including the need to manage conflict and relationships. Methods: Spotlight on Conversations Workshop was developed to improve the capacity of clinical supervisors to engage in difficult conversations. They were designed to challenge the mindset of clinical supervisors about difficult conversations with students, the consequences of avoiding difficult conversations, and to offer activities for practicing difficult conversations. Preworkshop, postworkshop, and 4-month follow-up evaluations assessed improvements in knowledge, intent to improve, and confidence along with workshop satisfaction. Results: Nine workshops were delivered in a range of locations across Victoria, Australia, involving a total of 117 clinical supervisors. Preworkshop evaluations illustrated that more than half of the participants had avoided up to two difficult conversations in the last month in their workplace. Postworkshop evaluation at 4 months showed very high levels of satisfaction with the workshop's relevancy, content, and training, as well as participants' intention to apply knowledge and skills. Also shown were significant changes in participants' confidence to have difficult conversations not only with students but also with other peers and colleagues. In follow-up in-depth interviews with 20 of the 117 participants, 75% said they had made definite changes in their practice because of what they learned in the workshop and another 10% said they would make changes to their practice, but had not had the opportunity yet to do so. Conclusion: We conclude that the Spotlight on

  6. Best practices in nursing homes. Clinical supervision, management, and human resource practices.

    Science.gov (United States)

    Dellefield, Mary Ellen

    2008-07-01

    Human resource practices including supervision and management are associated with organizational performance. Evidence supportive of such an association in nursing homes is found in the results of numerous research studies conducted during the past 17 years. In this article, best practices related to this topic have been culled from descriptive, explanatory, and intervention studies in a range of interdisciplinary research journals published between 1990 and 2007. Identified best practices include implementation of training programs on supervision and management for licensed nurses, certified nursing assistant job enrichment programs, implementation of consistent nursing assignments, and the use of electronic documentation. Organizational barriers and facilitators of these best practices are described. PMID:20077964

  7. Weakly supervised object detection with posterior regularization

    OpenAIRE

    Hakan Bilen; Marco Pedersoli; Tinne Tuytelaars

    2014-01-01

    Bilen H., Pedersoli M., Tuytelaars T., ''Weakly supervised object detection with posterior regularization'', 25th British machine vision conference - BMVC 2014, 12 pp., September 1-5, 2014, Nottingham, UK.

  8. Results of Evolution Supervised by Genetic Algorithms

    CERN Document Server

    Jäntschi, Lorentz; Bălan, Mugur C; Sestraş, Radu E

    2010-01-01

    A series of results of evolution supervised by genetic algorithms with interest to agricultural and horticultural fields are reviewed. New obtained original results from the use of genetic algorithms on structure-activity relationships are reported.

  9. Experiences of Supervision at Practice Placement Sites

    OpenAIRE

    Lesley Diack; Kathrine Gibson; Kim Munro; Alison Strath

    2014-01-01

    Background. Whilst placement supervision and clinical education programmes are of significant value in shaping the behaviours of undergraduate healthcare students, appropriate provisions which are efficacious to the learner are somewhat lacking, particularly for students studying on UK MPharm programmes. Objectives. To explore and explain the value of placement supervision to the personal development and employability of undergraduate pharmacy students. Methods. Students participated in a wee...

  10. Deep Learning via Semi-Supervised Embedding

    OpenAIRE

    Weston, Jason; Ratle, Frédéric; Mobahi, Hossein; Collobert, Ronan; Montavon, Grégoire; Orr, Geneviève; Müller, K.-R.

    2012-01-01

    We show how nonlinear embedding algorithms popular for use with "shallow" semi-supervised learning techniques such as kernel methods can be easily applied to deep multi-layer architectures, either as a regularizer at the output layer, or on each layer of the architecture. This trick provides a simple alternative to existing approaches to deep learning whilst yielding competitive error rates compared to those methods, and existing shallow semi-supervised techniques.

  11. Weakly Supervised Scalable Audio Content Analysis

    OpenAIRE

    Kumar, Anurag; Raj, Bhiksha

    2016-01-01

    Audio Event Detection is an important task for content analysis of multimedia data. Most of the current works on detection of audio events is driven through supervised learning approaches. We propose a weakly supervised learning framework which can make use of the tremendous amount of web multimedia data with significantly reduced annotation effort and expense. Specifically, we use several multiple instance learning algorithms to show that audio event detection through weak labels is feasible...

  12. Towards a semantic-based process supervision

    OpenAIRE

    Roda, Fernando

    2014-01-01

    This thesis attempts to exploit the deductive capabilities of the semantic rea- soners to automate the supervision task through a knowledge-driven approach. With that aim, we have explored the characteristics of DL-based modeling and reasoning to support qualitative supervision methods. The emphasis have been placed in multivariate data analysis. Through them, failures are detected and diagnosed using patterns of qualitative symptoms (i.e. Fault Signatures) that involve several process variab...

  13. Musical improvisation as a method in supervision

    OpenAIRE

    Knoll, Claudia

    2016-01-01

    In my thesis I am researching the use of musical improvisation as a method in supervision. Musical improvisation derives from the technical framework of musical therapy. The meaning, possibilities and the role of musical improvisation in supervision is being researched not only theoretically but also empirically. The theoretical part of the thesis consists of the research of technical literature, which is in its wider context related to the question of the use of creative approaches and artis...

  14. Image Binarization Using Multi-Layer Perceptron: A Semi-Supervised Approach

    Directory of Open Access Journals (Sweden)

    Amlan Raychaudhuri

    2012-04-01

    Full Text Available In this paper, we have discussed the Image Binarization technique using Multilayer Perceptron (MLP. The purpose of Image Binarization is to extract the lightness (brightness, density as a feature amount from the Image. It converts a gray-scale image of up to 256 gray levels to a black and white image. We use Backpropagation algorithm for training MLP. It is a supervised learning technique. Here Kmeans clustering algorithm has been used for clustering a 256 × 256 gray-level image. The dataset obtained by this is fed to the MLP and processed in a Semi-Supervised way where some training samples are taken as Known patterns (for training and others as Unknown patterns. Finally through this approach a Binarized image is produced.

  15. Automatic Fiscal Stabilizers

    Directory of Open Access Journals (Sweden)

    Narcis Eduard Mitu

    2013-11-01

    Full Text Available Policies or institutions (built into an economic system that automatically tend to dampen economic cycle fluctuations in income, employment, etc., without direct government intervention. For example, in boom times, progressive income tax automatically reduces money supply as incomes and spendings rise. Similarly, in recessionary times, payment of unemployment benefits injects more money in the system and stimulates demand. Also called automatic stabilizers or built-in stabilizers.

  16. Automatic input rectification

    OpenAIRE

    Long, Fan; Ganesh, Vijay; Carbin, Michael James; Sidiroglou, Stelios; Rinard, Martin

    2012-01-01

    We present a novel technique, automatic input rectification, and a prototype implementation, SOAP. SOAP learns a set of constraints characterizing typical inputs that an application is highly likely to process correctly. When given an atypical input that does not satisfy these constraints, SOAP automatically rectifies the input (i.e., changes the input so that it satisfies the learned constraints). The goal is to automatically convert potentially dangerous inputs into typical inputs that the ...

  17. Teacher training program in Mathematics: a rich supervision context

    OpenAIRE

    Martins, Cristina; Santos, Leonor

    2010-01-01

    Este texto tem por base uma investigação em curso no âmbito do programa de doutoramento em Educação na especialidade de Didáctica da Matemática da primeira autora, sendo a segunda a orientadora. O estudo, de natureza qualitativa, apresenta como contexto o Programa de Formação Contínua em Matemática para Professores do 1.º Ciclo, tendo como principal objectivo verificar o contributo deste programa no desenvolvimento profissional do professor. Este programa de formação apresenta ...

  18. Trends in Psychotherapy Training: A National Survey of Psychiatry Residency Training

    Science.gov (United States)

    Sudak, Donna M.; Goldberg, David A.

    2012-01-01

    Objective: The authors sought to determine current trends in residency training of psychiatrists. Method: The authors surveyed U.S. general-psychiatry training directors about the amount of didactic training, supervised clinical experience, and numbers of patients treated in the RRC-mandated models of psychotherapy (psychodynamic,…

  19. Automatic differentiation bibliography

    Energy Technology Data Exchange (ETDEWEB)

    Corliss, G.F. (comp.)

    1992-07-01

    This is a bibliography of work related to automatic differentiation. Automatic differentiation is a technique for the fast, accurate propagation of derivative values using the chain rule. It is neither symbolic nor numeric. Automatic differentiation is a fundamental tool for scientific computation, with applications in optimization, nonlinear equations, nonlinear least squares approximation, stiff ordinary differential equation, partial differential equations, continuation methods, and sensitivity analysis. This report is an updated version of the bibliography which originally appeared in Automatic Differentiation of Algorithms: Theory, Implementation, and Application.

  20. The Supervisor and On-the-Job Training. Fourth Edition.

    Science.gov (United States)

    Broadwell, Martin M.

    This training book is designed to help supervisors give accurate and effective on-the-job training (OJT) to employees under their supervision. Chapter 1 identifies good and bad training and good and bad reasons for training. Chapter 2 examines human learning and three motivators: desire for reward, fear of punishment, and curiosity. Chapter 3…

  1. 某高层酒店建筑自动喷水灭火系统设计审核评析%Evaluation and analysis of the automatic water-spraying fire-extinguishing system design and supervision of the high-rise hotel building

    Institute of Scientific and Technical Information of China (English)

    赵方强

    2016-01-01

    The article analyzes the high-rise building fire hazards. Combining with the high-rise hotel building engineering,starting from aspects of sprinkler nozzle selection,alarm valve and pipeline,and systematical design flow,it examines and evaluates the automatic water-spraying fire-extinguishing system of the high-rise hotel building,which will be good for guaranteeing the fire-fighting safety of the high-rise hotel building.%分析了高层建筑火灾的危险性,结合某高层酒店工程,从喷头选择、报警阀组与管道、系统设计流量等方面,对高层酒店的自动喷水灭火系统进行了审核评析,有利于保证高层酒店建筑的消防安全。

  2. Opportunities to Learn Scientific Thinking in Joint Doctoral Supervision

    Science.gov (United States)

    Kobayashi, Sofie; Grout, Brian W.; Rump, Camilla Østerberg

    2015-01-01

    Research into doctoral supervision has increased rapidly over the last decades, yet our understanding of how doctoral students learn scientific thinking from supervision is limited. Most studies are based on interviews with little work being reported that is based on observation of actual supervision. While joint supervision has become widely…

  3. 48 CFR 52.247-12 - Supervision, Labor, or Materials.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 2 2010-10-01 2010-10-01 false Supervision, Labor, or....247-12 Supervision, Labor, or Materials. As prescribed in 47.207-5(b), insert a clause substantially... when the contractor is required to furnish supervision, labor, or materials: Supervision, Labor,...

  4. 20 CFR 702.407 - Supervision of medical care.

    Science.gov (United States)

    2010-04-01

    ... 20 Employees' Benefits 3 2010-04-01 2010-04-01 false Supervision of medical care. 702.407 Section... and Supervision § 702.407 Supervision of medical care. The Director, OWCP, through the district... the Act. Such supervision shall include: (a) The requirement that periodic reports on the medical...

  5. 9 CFR 355.31 - Supervision by inspector.

    Science.gov (United States)

    2010-01-01

    ... 9 Animals and Animal Products 2 2010-01-01 2010-01-01 false Supervision by inspector. 355.31..., CERTIFICATION, AND IDENTIFICATION AS TO CLASS, QUALITY, QUANTITY, AND CONDITION Supervision § 355.31 Supervision... filled in whole or in part and no such label shall be affixed thereto except under the supervision of...

  6. 28 CFR 810.1 - Supervision contact requirements.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Supervision contact requirements. 810.1 Section 810.1 Judicial Administration COURT SERVICES AND OFFENDER SUPERVISION AGENCY FOR THE DISTRICT OF COLUMBIA COMMUNITY SUPERVISION: ADMINISTRATIVE SANCTIONS § 810.1 Supervision contact requirements. If...

  7. 28 CFR 2.94 - Supervision reports to Commission.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 1 2010-07-01 2010-07-01 false Supervision reports to Commission. 2.94 Section 2.94 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT... Parolees § 2.94 Supervision reports to Commission. An initial supervision report to confirm...

  8. 28 CFR 2.207 - Supervision reports to Commission.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 1 2010-07-01 2010-07-01 false Supervision reports to Commission. 2.207 Section 2.207 Judicial Administration DEPARTMENT OF JUSTICE PAROLE, RELEASE, SUPERVISION AND RECOMMITMENT....207 Supervision reports to Commission. A regular supervision report shall be submitted to...

  9. Self-care assessment as an indicator for clinical supervision in nursing

    Directory of Open Access Journals (Sweden)

    Sílvia Marlene Monteiro Teixeira

    2016-01-01

    Full Text Available Objective : to evaluate the needs of clinical supervision for nurses to assess the degree of dependence on self- care and planning of nursing interventions. Methods : analytical study, cross-cutting nature, collecting data from a sample of 110 patients. Results : it was shown the differences in the identification of the degree of dependence between registers and experts, as well as the selection of operations for each self-care and failures to the original assessment of the filling level (no evaluation self-care/no identification of the degree of dependence. Conclusion : there were gaps in the nursing process; they have proposed strategies such as clinical supervision sessions, training, case studies, protocols and guidance documents, to be included in a clinical supervision in nursing model.

  10. Self-care assessment as an indicator for clinical supervision in nursing

    Directory of Open Access Journals (Sweden)

    Sílvia Marlene Monteiro Teixeira

    2016-06-01

    Full Text Available Objective: to evaluate the needs of clinical supervision for nurses to assess the degree of dependence on self-care and planning of nursing interventions. Methods: analytical study, cross-cutting nature, collecting data from a sample of 110 patients. Results: it was shown the differences in the identification of the degree of dependence between registers and experts, as well as the selection of operations for each self-care and failures to the original assessment of the filling level (no evaluation self-care/no identification of the degree of dependence. Conclusion: there were gaps in the nursing process; they have proposed strategies such as clinical supervision sessions, training, case studies, protocols and guidance documents, to be included in a clinical supervision in nursing model.

  11. From Old School to the Use of ICT in Supervision of Counsellor Trainees in Nigeria

    Directory of Open Access Journals (Sweden)

    Charles Ngozi Ugwuegbulam

    2013-08-01

    Full Text Available Things are changing. Better ways of doing things are been thought out and employed. Counsellor education and supervision is not left out in this wind of change. This paper specifically acknowledges this in the area of supervision of students on counselling practicum exercise. In Nigeria, counselling is taught from first degree to Ph.D. level. During the course of training of the counsellors at the first degree level, trainees are exposed to a two six-weeks practicum exercise. At the end of each of the practicum exercise, the trainee counsellors are assessed. Most times, the assessment is done post mortem from the review of tapes and reports. This paper submits that such exercises can be improved by employing the use of some ICT techniques for enhanced and more accurate assessment of trainee counsellors practicum experiences, hence the call for a shift from the old school to the use of ICT in supervision of trainee counsellors in Nigeria.

  12. Pedagogical Supervision of Assistant Professors and Post.doc Development of Self-confidence

    DEFF Research Database (Denmark)

    Lauridsen, Ole

    . – The written feedback is succinct and to the point, but the form is friendly; receiving feedback from a senior colleague is a notorious challenge for quite a few of the supervisees, and it is therefore crucial that the supervisors do not scare or discourage their young colleagues. This supervision is voluntary...... member offers a much more focused feedback based on thesupervisors’ long experience and thorough knowledge of the theoretical background and application of postmodern constructivist teaching methods. The key areas of the supervision are: gestures and facial expression, enunciation, language (the quality......, but still 8 out of 10 accept the offer. The feedback from the supervisees is positive: Many supervisees report that they did not understand the full impact of the pedagogical principles delivered at the training course until after the supervision; many realize that their teaching can be improved through...

  13. Determining effects of non-synonymous SNPs on protein-protein interactions using supervised and semi-supervised learning.

    Directory of Open Access Journals (Sweden)

    Nan Zhao

    2014-05-01

    Full Text Available Single nucleotide polymorphisms (SNPs are among the most common types of genetic variation in complex genetic disorders. A growing number of studies link the functional role of SNPs with the networks and pathways mediated by the disease-associated genes. For example, many non-synonymous missense SNPs (nsSNPs have been found near or inside the protein-protein interaction (PPI interfaces. Determining whether such nsSNP will disrupt or preserve a PPI is a challenging task to address, both experimentally and computationally. Here, we present this task as three related classification problems, and develop a new computational method, called the SNP-IN tool (non-synonymous SNP INteraction effect predictor. Our method predicts the effects of nsSNPs on PPIs, given the interaction's structure. It leverages supervised and semi-supervised feature-based classifiers, including our new Random Forest self-learning protocol. The classifiers are trained based on a dataset of comprehensive mutagenesis studies for 151 PPI complexes, with experimentally determined binding affinities of the mutant and wild-type interactions. Three classification problems were considered: (1 a 2-class problem (strengthening/weakening PPI mutations, (2 another 2-class problem (mutations that disrupt/preserve a PPI, and (3 a 3-class classification (detrimental/neutral/beneficial mutation effects. In total, 11 different supervised and semi-supervised classifiers were trained and assessed resulting in a promising performance, with the weighted f-measure ranging from 0.87 for Problem 1 to 0.70 for the most challenging Problem 3. By integrating prediction results of the 2-class classifiers into the 3-class classifier, we further improved its performance for Problem 3. To demonstrate the utility of SNP-IN tool, it was applied to study the nsSNP-induced rewiring of two disease-centered networks. The accurate and balanced performance of SNP-IN tool makes it readily available to study the

  14. An Automated Algorithm to Screen Massive Training Samples for a Global Impervious Surface Classification

    Science.gov (United States)

    Tan, Bin; Brown de Colstoun, Eric; Wolfe, Robert E.; Tilton, James C.; Huang, Chengquan; Smith, Sarah E.

    2012-01-01

    An algorithm is developed to automatically screen the outliers from massive training samples for Global Land Survey - Imperviousness Mapping Project (GLS-IMP). GLS-IMP is to produce a global 30 m spatial resolution impervious cover data set for years 2000 and 2010 based on the Landsat Global Land Survey (GLS) data set. This unprecedented high resolution impervious cover data set is not only significant to the urbanization studies but also desired by the global carbon, hydrology, and energy balance researches. A supervised classification method, regression tree, is applied in this project. A set of accurate training samples is the key to the supervised classifications. Here we developed the global scale training samples from 1 m or so resolution fine resolution satellite data (Quickbird and Worldview2), and then aggregate the fine resolution impervious cover map to 30 m resolution. In order to improve the classification accuracy, the training samples should be screened before used to train the regression tree. It is impossible to manually screen 30 m resolution training samples collected globally. For example, in Europe only, there are 174 training sites. The size of the sites ranges from 4.5 km by 4.5 km to 8.1 km by 3.6 km. The amount training samples are over six millions. Therefore, we develop this automated statistic based algorithm to screen the training samples in two levels: site and scene level. At the site level, all the training samples are divided to 10 groups according to the percentage of the impervious surface within a sample pixel. The samples following in each 10% forms one group. For each group, both univariate and multivariate outliers are detected and removed. Then the screen process escalates to the scene level. A similar screen process but with a looser threshold is applied on the scene level considering the possible variance due to the site difference. We do not perform the screen process across the scenes because the scenes might vary due to

  15. Reverse design and analysis of automatic seedling pick-up mechanism with non-circular gear planetary train%非圆齿轮行星轮系自动取苗机构逆向设计分析

    Institute of Scientific and Technical Information of China (English)

    赵雄; 王川; 杨茂祥; 孙良; 陈建能

    2015-01-01

    Seedling pick-up mechanism is the core mechanism of dry land automatic transplanting machine, and it replaces the traditional manual labor, which picks up seedlings from seedling box folder and sends the single seedling to the planting machine. The dry land automatic transplanting machines in Japan, South Korea and other countries adopt to bar and slider mechanism scheme or adopt chute in combination mechanism scheme, but they lack efficiency. China scholars do a lot of researches on making use of non-circular planetary gear train to achieve special non-circular trajectory, and this kind of transmission is a potential type of effective seedling pick-up mechanism, but it’s very difficult to design non-circular planetary gear train mechanism when it is oriented to complex trajectory and needs to meet the attitude requirements, and the corresponding research is still not sufficient. Reverse solution is an effective way when oriented to mechanism design of complex work requirements, and the reverse design on how to plan the expected trajectory to meet the work requirements as well as the transmission ratio requirements, is the difficult points. Authors have conducted reverse design research on plug seedlings picking-up mechanism and proposed reproduced trajectory judgment criterion based on the monotonic mechanism of output member’s relative angle. As to the expected trajectory, the applicability of the non-circular planetary gear system transmission can be judged by the monotonicity of relative angle curve. In this paper, the setting method of the key point in planning the expected trajectory is researched so as to facilitate the design of transmission ratio of non-circular gear, and the determination process of data point is given, which satisfies the requirement of working trajectory and attitude; through compiling mechanism’s design software, a set of mechanism parameters are determined, and the simulation is carried out by ADAMS and the result is compared

  16. Relation of management, supervision, and personnel practices to nuclear power plant safety

    International Nuclear Information System (INIS)

    The knowledge base of industrial/organization psychology suggests three major areas of research with important implications for nuclear power plant safety. These areas are: Management and Supervision: Personnel Selection, Training and Placement; and Organizational Climate. Evidence drawn from several Three Mile Island investigations confirms that organizational structure of plants and supervisory practices, the selection and training of personnel, and organizational climate are important factors. Difficulties in decision making and coordination of personnel are pinpointed. Deficiencies in training are highlighted and the climate of working atmosphere is discussed. These matters are related to nuclear power plant safety. Future research directions are presented

  17. Contributions to the Analysis and the Supervision of a Thermal Power Plant

    Directory of Open Access Journals (Sweden)

    Lakhoua M.N

    2016-02-01

    Full Text Available Supervision systems play an important role in industry mainly due to the increasing demand for product quality and high efficiency, and to the growing integration of automatic control systems in technical processes. In fact, the supervision system has a great number of components and interconnections, and it is difficult to describe and understand its behavior. Furthermore, the supervision system in industrial plants, implemented in supervisory control and data acquisition (SCADA software, must undertake, at least, the following three main tasks: monitoring, control and fault tolerance. So it can be classified as a complex system. The objective of this paper is to show interests of the use of functional analysis techniques such as SADT (Structured Analysis and Design Technique and SA-RT (Structured Analysis Real Time for the design of supervisory systems. This is why we present a general model of analysis and supervision of production systems. This model was based on the one hand on the functional analysis (FA and on the other hand on the SCADA system.

  18. Training in anaesthesia: the US perspective.

    OpenAIRE

    Strang, T. I.; Ball, D. R.

    1996-01-01

    In the light of the recent Calman Report and the Royal College of Anaesthetists document 'Specialist training in anaesthesia, supervision and assessment', there is currently much debate concerning the future of anaesthesia training in the UK. We present a description of anaesthesia training in the US for discussion and comparison. US residency training is short and seamless. It is highly structured, but retains a capacity for specialisation. It may offer ideas for the future direction of trai...

  19. A Two-Day Teacher-Training Programme for Medical Residents: Investigating the Impact on Teaching Ability

    Science.gov (United States)

    Busari, Jamiu O.; Scherpbier, Albert J. J. A.; van der Vleuten, Cees P. M.; Essed, Gerard G. M.

    2006-01-01

    Introduction: Many of the residents who supervise medical students in clinical practice are unfamiliar with the principles of effective supervision. Training in teaching skills is therefore seen as an effective strategy to improve the quality of clinical supervision. Method: Twenty seven medical residents were matched and assigned to an…

  20. Synergism in education: An innovative approach to practice teaching supervision

    Science.gov (United States)

    Mereni, Joseph Ibewuike

    1985-12-01

    The problem of effective teacher education is central to the pressing needs of Nigerian education at all levels. Scholars have identified many of them, including the general problems relating to the supervision, guidance, and evaluation of student-practice teaching. The purpose of this essay is briefly to describe an innovative approach undertaken by the Imo State School Board (Nigeria), in collaboration with the Ministry of Education, to resolve some of the problems identified. The underlying assumption is that the student teachers' internship is best conducted with closer collaboration, supervision, and guidance of the teachers. The study employed a theoretical framework synergism in education which integrated earlier studies by both American and Nigerian scholars. The concept of synergism has been defined as the combined healthy action of all `elements' of a system. Application of the theory showed how the State Ministry of Education, the State School Board, the Teacher Training Colleges and the Nigeria Union of Teachers of Imo State collectively resolved in 1980 the problems of inadequate supervisory personnel, high cost of student-teaching internship, and poor student assessment and evaluation. With the synergetic supervisory process, the functions of planning, changing, and decision-making about instructional improvement are shared, with a certain degree of power equalization, among the student teachers, supervisors, co-operating teachers, and the school executives.

  1. Locally supervised neural networks for approximating terramechanics models

    Science.gov (United States)

    Song, Xingguo; Gao, Haibo; Ding, Liang; Spanos, Pol D.; Deng, Zongquan; Li, Zhijun

    2016-06-01

    Neural networks (NNs) have been widely implemented for identifying nonlinear models, and predicting the distribution of targets, due to their ability to store and learn training samples. However, for highly complex systems, it is difficult to build a robust global network model, and efficiently managing the large amounts of experimental data is often required in real-time applications. In this paper, an effective method for building local models is proposed to enhance robustness and learning speed in globally supervised NNs. Unlike NNs, Gaussian processes (GP) produce predictions that capture the uncertainty inherent in actual systems, and typically provides superior results. Therefore, in this study, each local NN is learned in the same manner as a Gaussian process. A mixture of local model NNs is created and then augmented using weighted regression. This proposed method, referred to as locally supervised NN for weighted regression like GP, is abbreviated as "LGPN", is utilized for approximating a wheel-terrain interaction model under fixed soil parameters. The prediction results show that the proposed method yields significant robustness, modeling accuracy, and rapid learning speed.

  2. DEVELOPMENT AND EVALUATION OF NING SOCIAL NETWORK FOR TEACHING TRAINING ONLINE SURVEILLANCE

    OpenAIRE

    Ezad Azraai JAMSARI (Corresponding Author); Mohd Aliff MOHD NAWI, Universiti Kebangsaan Malaysia, MALAYSIA; Adibah SULAIMAN

    2013-01-01

    Supervision of teaching practice is an important aspect of training teachers in improving their teaching skills. Barriers such as distance and time factor are the constraints faced by the lecturers at the National University of Malaysia to communicate with the teacher trainees under their supervision. Therefore, this study aims to develop and evaluate a social-networking site Ning's platform for the supervision of lecturers to teach on-line training. This study used the case design where a to...

  3. Semi-supervised classification tool for DubaiSat-2 multispectral imagery

    Science.gov (United States)

    Al-Mansoori, Saeed

    2015-10-01

    This paper addresses a semi-supervised classification tool based on a pixel-based approach of the multi-spectral satellite imagery. There are not many studies demonstrating such algorithm for the multispectral images, especially when the image consists of 4 bands (Red, Green, Blue and Near Infrared) as in DubaiSat-2 satellite images. The proposed approach utilizes both unsupervised and supervised classification schemes sequentially to identify four classes in the image, namely, water bodies, vegetation, land (developed and undeveloped areas) and paved areas (i.e. roads). The unsupervised classification concept is applied to identify two classes; water bodies and vegetation, based on a well-known index that uses the distinct wavelengths of visible and near-infrared sunlight that is absorbed and reflected by the plants to identify the classes; this index parameter is called "Normalized Difference Vegetation Index (NDVI)". Afterward, the supervised classification is performed by selecting training homogenous samples for roads and land areas. Here, a precise selection of training samples plays a vital role in the classification accuracy. Post classification is finally performed to enhance the classification accuracy, where the classified image is sieved, clumped and filtered before producing final output. Overall, the supervised classification approach produced higher accuracy than the unsupervised method. This paper shows some current preliminary research results which point out the effectiveness of the proposed technique in a virtual perspective.

  4. Automatic Quality Measurement and Parameter Selection for Example-based Texture Synthesis

    DEFF Research Database (Denmark)

    Laursen, Lasse Farnung; Clemmensen, Line Katrine Harder; Bærentzen, Jakob Andreas;

    synthesis compares to the original input. A good similarity measure will enable the search for the optimal texture synthesis parameters by maximizing the quality of the synthesis as a function of parameters. We apply presented methods to a state of the art texture synthesis algorithm, namely the one...... far, automatically selecting parameters suitable for synthesis has been a relatively unexplored topic. In effect, this makes texture synthesis supervised rather than fully automatic. In this technical paper, we propose automatic parameter optimization methods for example based texture synthesis. We...

  5. All-optical automatic pollen identification: Towards an operational system

    Science.gov (United States)

    Crouzy, Benoît; Stella, Michelle; Konzelmann, Thomas; Calpini, Bertrand; Clot, Bernard

    2016-09-01

    We present results from the development and validation campaign of an optical pollen monitoring method based on time-resolved scattering and fluorescence. Focus is first set on supervised learning algorithms for pollen-taxa identification and on the determination of aerosol properties (particle size and shape). The identification capability provides a basis for a pre-operational automatic pollen season monitoring performed in parallel to manual reference measurements (Hirst-type volumetric samplers). Airborne concentrations obtained from the automatic system are compatible with those from the manual method regarding total pollen and the automatic device provides real-time data reliably (one week interruption over five months). In addition, although the calibration dataset still needs to be completed, we are able to follow the grass pollen season. The high sampling from the automatic device allows to go beyond the commonly-presented daily values and we obtain statistically significant hourly concentrations. Finally, we discuss remaining challenges for obtaining an operational automatic monitoring system and how the generic validation environment developed for the present campaign could be used for further tests of automatic pollen monitoring devices.

  6. Training Public Health Advisors.

    Science.gov (United States)

    Meyer, Pamela A; Brusuelas, Kristin M; Baden, Daniel J; Duncan, Heather L

    2015-01-01

    Federal public health advisors provide guidance and assistance to health departments to improve public health program work. The Centers for Disease Control and Prevention (CDC) prepares them with specialized training in administering public health programs. This article describes the evolving training and is based on internal CDC documents and interviews. The first federal public health advisors worked in health departments to assist with controlling syphilis after World War II. Over time, more CDC prevention programs hired them. To meet emerging needs, 3 major changes occurred: the Public Health Prevention Service, a fellowship program, in 1999; the Public Health Associate Program in 2007; and integration of those programs. Key components of the updated training are competency-based training, field experience, supervision, recruitment and retention, and stakeholder support. The enduring strength of the training has been the experience in a public health agency developing practical skills for program implementation and management.

  7. Athletic Training Students in the College/ University Setting and the Scope of Clinical Education

    OpenAIRE

    Weidner, Thomas G.; Noble, Gary L; Pipkin, Jennifer B

    2006-01-01

    Context: Athletic training education programs must provide the proper type and amount of clinical supervision in order for athletic training students to obtain appropriate clinical education and to meet Board of Certification examination requirements.

  8. Core ethical issues of clinical nursing supervision.

    Science.gov (United States)

    Berggren, Ingela; Barbosa da Silva, António; Severinsson, Elisabeth

    2005-03-01

    Clinical nursing supervision enables supervisees to reflect on ethically difficult caring situations, thereby strengthening their professional identity, integrating nursing theory and practice, and leading to the development of ethical competence. The aim of this study was to develop an understanding of the core ethical issues of clinical nursing supervision, using previous research as well as philosophical analysis of the theories of three moral philosophers: Harald Ofstad, Richard Hare and Carol Gilligan. The ultimate aim of this study was to develop a general model for ethical decision-making and to establish its relevance for clinical nursing supervision. The findings highlight four important values for the development of a basis for ethical decision-making. These values are caring, dignity, responsibility and virtue.

  9. Project Supervision – An Engineering Approach

    DEFF Research Database (Denmark)

    Paulsen, Rasmus Reinhold; Larsen, Rasmus; Ersbøll, Bjarne Kjær;

    2011-01-01

    of their master thesis writing. The supervision principles are: Ownership: The student should feel that their project is their own. Ideally, they should formulate the project themselves. Write early: We strongly encourage the students to write and generate figures and images already from the first week......For more than twenty years, a group based supervision strategy has been used when supervising engineering bachelor- and master thesis students at our research group. In recent years, we have formalised the approach and used our industry experience to create a very successful framework for project...... of the project period. Management: The student is considered project manager of his own project. The supervisor is a guide or coach (or a project owner) Plans: The student is asked to write a project plan during the first week of the project together with a risk-analysis. Group Meetings: A group of students...

  10. Random forest automated supervised classification of Hipparcos periodic variable stars

    CERN Document Server

    Dubath, P; Süveges, M; Blomme, J; López, M; Sarro, L M; De Ridder, J; Cuypers, J; Guy, L; Lecoeur, I; Nienartowicz, K; Jan, A; Beck, M; Mowlavi, N; De Cat, P; Lebzelter, T; Eyer, L

    2011-01-01

    We present an evaluation of the performance of an automated classification of the Hipparcos periodic variable stars into 26 types. The sub-sample with the most reliable variability types available in the literature is used to train supervised algorithms to characterize the type dependencies on a number of attributes. The most useful attributes evaluated with the random forest methodology include, in decreasing order of importance, the period, the amplitude, the V-I colour index, the absolute magnitude, the residual around the folded light-curve model, the magnitude distribution skewness and the amplitude of the second harmonic of the Fourier series model relative to that of the fundamental frequency. Random forests and a multi-stage scheme involving Bayesian network and Gaussian mixture methods lead to statistically equivalent results. In standard 10-fold cross-validation experiments, the rate of correct classification is between 90 and 100%, depending on the variability type. The main mis-classification case...

  11. Incremental Supervised Subspace Learning for Face Recognition

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Subspace learning algorithms have been well studied in face recognition. Among them, linear discriminant analysis (LDA) is one of the most widely used supervised subspace learning method. Due to the difficulty of designing an incremental solution of the eigen decomposition on the product of matrices, there is little work for computing LDA incrementally. To avoid this limitation, an incremental supervised subspace learning (ISSL) algorithm was proposed, which incrementally learns an adaptive subspace by optimizing the maximum margin criterion (MMC). With the dynamically added face images, ISSL can effectively constrain the computational cost. Feasibility of the new algorithm has been successfully tested on different face data sets.

  12. Abusive supervision and subordinates' organizational citizenship behavior.

    Science.gov (United States)

    Zellars, Kelly L; Tepper, Bennett J; Duffy, Michelle K

    2002-12-01

    The relationship between subordinates' perceptions of abusive supervision and supervisors' evaluations of subordinates' organizational citizenship behavior (OCB) was explored among a sample of 373 Air National Guard members and their military supervisors. As predicted, the relationship between abusive supervision and subordinates' OCB was stronger among subordinates who defined OCB as extra-role behavior (compared with those defining OCB as in-role behavior), and this effect was fully mediated by the interactive effect of procedural justice and OCB role definitions. The study's implications for theory and research are discussed, its limitations are identified, and directions for future research are suggested. PMID:12558214

  13. EEM{sup TM} wireless supervision

    Energy Technology Data Exchange (ETDEWEB)

    Bilic, H. [Ericsson-Nikola Tesla d.d. Zagreb (Croatia)

    2000-07-01

    By adding the GSM network to the communication level of Energy Management systems, energy operating centres (EOC) can offer wireless access to the supervised equipment. Furthermore EOC can profit from rapid service development in the GSM networks. With implementation of GPRS to the GSM network EOC can instantly offer wireless access to external IP based networks such as Internet and corporate Intranets. The author describes architecture and key characteristic of Ericsson EnergyMaster{sup TM} (EEM{sup TM}) system for Energy Management, how and where to implement wireless supervision, wireless access to IP addresses and also how to implement new services provided by the GSM network. (orig.)

  14. Interaction in PhD supervision

    DEFF Research Database (Denmark)

    Kobayashi, Sofie; Grout, Brian William Wilson; Rump, Camilla Østerberg

    D student, her principal supervisor and two co-supervisors. The analysis is informed by positioning theory, where a conversation is viewed as a tri-polar structure of speech-act, positioning, and storylines. Positioning is the act of assigning rights and duties to oneself and to others and storylines......This paper contains an analysis of a single supervision session, undertaken with the aim of identifying how learning opportunities might be created for a PhD student. The supervision session concerned methodologies to be employed in a PhD study related to storm water management and included the Ph...

  15. First-Line Supervisory Training.

    Science.gov (United States)

    West Virginia State Dept. of Education, Charleston. Bureau of Vocational, Technical, and Adult Education.

    This document contains ten information modules designed for use in an industrial supervisory training seminar. The first module focuses on the role of the supervisor. Topics include a definition of supervision and its four basic functions: planning, organizing, directing, and controlling. The second module deals with authority, power influence,…

  16. Opticalman 1 and C, Rate Training Manual.

    Science.gov (United States)

    Naval Personnel Program Support Activity, Washington, DC.

    The technical subject matter of this rate training manual is written for regular navy and naval reserve personnel. Responsibilities for optical shop administration, supervision, and training are discussed in detail. Metals are studied in connection with heat treating processes. Characteristics of light are analyzed to familiarize students with…

  17. Simulation-based training for colonoscopy

    DEFF Research Database (Denmark)

    Preisler, Louise; Svendsen, Morten Bo Søndergaard; Nerup, Nikolaj;

    2015-01-01

    simulations-based modalities provided reliable and valid assessments of competence in colonoscopy and credible pass/fail standards were established for both the tests. We propose to use these standards in simulation-based training programs before proceeding to supervised training on patients....

  18. Supervised classification of solar features using prior information

    Science.gov (United States)

    De Visscher, Ruben; Delouille, Véronique; Dupont, Pierre; Deledalle, Charles-Alban

    2015-10-01

    Context: The Sun as seen by Extreme Ultraviolet (EUV) telescopes exhibits a variety of large-scale structures. Of particular interest for space-weather applications is the extraction of active regions (AR) and coronal holes (CH). The next generation of GOES-R satellites will provide continuous monitoring of the solar corona in six EUV bandpasses that are similar to the ones provided by the SDO-AIA EUV telescope since May 2010. Supervised segmentations of EUV images that are consistent with manual segmentations by for example space-weather forecasters help in extracting useful information from the raw data. Aims: We present a supervised segmentation method that is based on the Maximum A Posteriori rule. Our method allows integrating both manually segmented images as well as other type of information. It is applied on SDO-AIA images to segment them into AR, CH, and the remaining Quiet Sun (QS) part. Methods: A Bayesian classifier is applied on training masks provided by the user. The noise structure in EUV images is non-trivial, and this suggests the use of a non-parametric kernel density estimator to fit the intensity distribution within each class. Under the Naive Bayes assumption we can add information such as latitude distribution and total coverage of each class in a consistent manner. Those information can be prescribed by an expert or estimated with an Expectation-Maximization algorithm. Results: The segmentation masks are in line with the training masks given as input and show consistency over time. Introduction of additional information besides pixel intensity improves upon the quality of the final segmentation. Conclusions: Such a tool can aid in building automated segmentations that are consistent with some ground truth' defined by the users.

  19. Deep Web Search Interface Identification: A Semi-Supervised Ensemble Approach

    Directory of Open Access Journals (Sweden)

    Hong Wang

    2014-12-01

    Full Text Available To surface the Deep Web, one crucial task is to predict whether a given web page has a search interface (searchable HyperText Markup Language (HTML form or not. Previous studies have focused on supervised classification with labeled examples. However, labeled data are scarce, hard to get and requires tediousmanual work, while unlabeled HTML forms are abundant and easy to obtain. In this research, we consider the plausibility of using both labeled and unlabeled data to train better models to identify search interfaces more effectively. We present a semi-supervised co-training ensemble learning approach using both neural networks and decision trees to deal with the search interface identification problem. We show that the proposed model outperforms previous methods using only labeled data. We also show that adding unlabeled data improves the effectiveness of the proposed model.

  20. Automatic Payroll Deposit System.

    Science.gov (United States)

    Davidson, D. B.

    1979-01-01

    The Automatic Payroll Deposit System in Yakima, Washington's Public School District No. 7, directly transmits each employee's salary amount for each pay period to a bank or other financial institution. (Author/MLF)

  1. Automatic query formulations in information retrieval.

    Science.gov (United States)

    Salton, G; Buckley, C; Fox, E A

    1983-07-01

    Modern information retrieval systems are designed to supply relevant information in response to requests received from the user population. In most retrieval environments the search requests consist of keywords, or index terms, interrelated by appropriate Boolean operators. Since it is difficult for untrained users to generate effective Boolean search requests, trained search intermediaries are normally used to translate original statements of user need into useful Boolean search formulations. Methods are introduced in this study which reduce the role of the search intermediaries by making it possible to generate Boolean search formulations completely automatically from natural language statements provided by the system patrons. Frequency considerations are used automatically to generate appropriate term combinations as well as Boolean connectives relating the terms. Methods are covered to produce automatic query formulations both in a standard Boolean logic system, as well as in an extended Boolean system in which the strict interpretation of the connectives is relaxed. Experimental results are supplied to evaluate the effectiveness of the automatic query formulation process, and methods are described for applying the automatic query formulation process in practice. PMID:10299297

  2. 38 CFR 21.4265 - Practical training approved as institutional training or on-job training.

    Science.gov (United States)

    2010-07-01

    ... requirement that class attendance on at least a weekly basis be regularly scheduled to provide for interaction... completion of the course, the student remains enrolled in the school during the period, and the training is... is offered by an affiliated or cooperating hospital and the student is enrolled in and supervised...

  3. NEED OF FINANCIAL INSTITUTIONS SUPERVISION THROUGH AN SINGLE FRAMEWORK OF MACRO-PRUDENTIAL SUPERVISION

    Directory of Open Access Journals (Sweden)

    MEDAR LUCIAN-ION

    2013-12-01

    Full Text Available Joint Committee of the European Supervisory Authorities required Member States to implement new macro-prudential indicators.through national authorities of prudential supervision will be perform activities concerning the supplementary supervision of credit institutions, insurance companies or reinsurance companies, investment services firms and investment management firms, from a financial conglomerate. The most popular ways that give stability to the financial system are related to normal functioning of markets, to ensure implementation of payments in the economy and especially achieving a quality financial intermediation. Activities concerning macroprudential supervision concern, first of all, of managerial strengthening of internal control, assessment and management of risks

  4. Turning training into play

    DEFF Research Database (Denmark)

    Aarhus, Rikke; Grönvall, Erik; Larsen, Simon Bo;

    2011-01-01

    Embodied gaming has been adopted and gained credibility in the field of physical rehabilitation. In this paper, we report on findings from a six-month-long study of three groups of senior citizens, and their use of Nintendo Wii Fit in a supervised physical training context. We argue that the study...... participants generally found physical training both fun and socially engaging, and experienced improved fitness. We also argue that embodied gaming motivates seniors to do more than they think themselves capable of, and allows seniors with different mental and physical capabilities to play together. However...

  5. Automatic Identification of Critical Follow-Up Recommendation Sentences in Radiology Reports

    Science.gov (United States)

    Yetisgen-Yildiz, Meliha; Gunn, Martin L.; Xia, Fei; Payne, Thomas H.

    2011-01-01

    Communication of follow-up recommendations when abnormalities are identified on imaging studies is prone to error. When recommendations are not systematically identified and promptly communicated to referrers, poor patient outcomes can result. Using information technology can improve communication and improve patient safety. In this paper, we describe a text processing approach that uses natural language processing (NLP) and supervised text classification methods to automatically identify critical recommendation sentences in radiology reports. To increase the classification performance we enhanced the simple unigram token representation approach with lexical, semantic, knowledge-base, and structural features. We tested different combinations of those features with the Maximum Entropy (MaxEnt) classification algorithm. Classifiers were trained and tested with a gold standard corpus annotated by a domain expert. We applied 5-fold cross validation and our best performing classifier achieved 95.60% precision, 79.82% recall, 87.0% F-score, and 99.59% classification accuracy in identifying the critical recommendation sentences in radiology reports. PMID:22195225

  6. Is object localization for free? – Weakly-supervised learning with convolutional neural networks

    OpenAIRE

    Oquab, Maxime; Bottou, Léon; Laptev, Ivan; Sivic, Josef

    2015-01-01

    Successful methods for visual object recognition typically rely on training datasets containing lots of richly annotatedimages. Detailed image annotation, e.g. by object bounding boxes, however, is both expensive and often subjective.We describe a weakly supervised convolutional neural network (CNN) for object classification that relies onlyon image-level labels, yet can learn from cluttered scenes containing multiple objects. We quantify its object classification and object location predicti...

  7. Deep Web Search Interface Identification: A Semi-Supervised Ensemble Approach

    OpenAIRE

    Hong Wang; Qingsong Xu; Lifeng Zhou

    2014-01-01

    To surface the Deep Web, one crucial task is to predict whether a given web page has a search interface (searchable HyperText Markup Language (HTML) form) or not. Previous studies have focused on supervised classification with labeled examples. However, labeled data are scarce, hard to get and requires tediousmanual work, while unlabeled HTML forms are abundant and easy to obtain. In this research, we consider the plausibility of using both labeled and unlabeled data to train better models to...

  8. From A to Z: Supervised Transfer of Style and Content Using Deep Neural Network Generators

    OpenAIRE

    Upchurch, Paul; Snavely, Noah; Bala, Kavita

    2016-01-01

    We propose a new neural network architecture for solving single-image analogies - the generation of an entire set of stylistically similar images from just a single input image. Solving this problem requires separating image style from content. Our network is a modified variational autoencoder (VAE) that supports supervised training of single-image analogies and in-network evaluation of outputs with a structured similarity objective that captures pixel covariances. On the challenging task of ...

  9. Cognitive Dissonance, Supervision, and Administrative Team Conflict

    Science.gov (United States)

    Zepeda, Sally J.

    2006-01-01

    Purpose: The purpose of this paper is to record and summarize the tensions and problems experienced by a high school administrative team as they attempted to change supervision alongside instruction in a transition to a new block schedule. Design/methodology/approach: A case study method was used. As a case study, the research is contextual in…

  10. Parallelprocesser og deres tilblivelse i supervision

    DEFF Research Database (Denmark)

    Jacobsen, Claus Haugaard

    2006-01-01

    Kapitlet beskæftiger sig med ”Parallelprocesser og deres tilblivelse i supervision”. Først indkredses parallelprocesbegrebet i dets mange variationer. Der er tale om et nøglebegreb i psykoanalytisk supervision, der overordnet set henviser til en relationel positionering eller tematik i...

  11. Research Supervision: The Research Management Matrix

    Science.gov (United States)

    Maxwell, T. W.; Smyth, Robyn

    2010-01-01

    We briefly make a case for re-conceptualising research project supervision/advising as the consideration of three inter-related areas: the learning and teaching process; developing the student; and producing the research project/outcome as a social practice. We use this as our theoretical base for an heuristic tool, "the research management…

  12. Supervision, Staff Development, and Evaluation Connections.

    Science.gov (United States)

    McQuarrie, Frank O.; Wood, Fred H.

    1991-01-01

    Examines the relationship between supervision, staff development, and teacher evaluation, discussing why educators must strive to make connections among the three, identifying important misunderstandings about them, and describing the purposes of each process and the similarities, differences, and connections between them. Together, they can be…

  13. Theory of Multiple Intelligences at Teacher Supervision

    Directory of Open Access Journals (Sweden)

    İzzet Döş

    2012-07-01

    Full Text Available This study aims to determine views of teachers and supervisors related to the multiple intelligences in students’ learning that they took into consideration in the evaluation of teachers during lesson supervision. The study was conducted with 5 supervisors who work at Kahramanmaraş provincial directorate of national education and 10 teachers who work at primary schools in the centre of Kahramanmaraş in 2011-2012 year. Data was gathered with the help of interview form consisting of five open-ended questions. In the analysis of the data content analysis which is one of the qualitative research methods. According to the results of the analysis, it has been found that usage of multiple intelligences theory in the evaluation students’ learning during supervision enabled them to evaluate students’ learning in a more detailed way. It also made it possible for the supervisors to examine supervision evaluations at different levels. It was also mentioned that supervisions made according to multiple intelligence theory has some limitations.

  14. Interdisciplinary Doctoral Research Supervision: A Scoping Review

    Science.gov (United States)

    Vanstone, Meredith; Hibbert, Kathy; Kinsella, Elizabeth Anne; McKenzie, Pam; Pitman, Allan; Lingard, Lorelei

    2013-01-01

    This scoping literature review examines the topic of interdisciplinary doctoral research supervision. Interdisciplinary doctoral research programs are expanding in response to encouragement from funding agencies and enthusiasm from faculty and students. In an acknowledgement that the search for creative and innovative solutions to complex problems…

  15. 27 CFR 24.30 - Supervision.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Supervision. 24.30 Section 24.30 Alcohol, Tobacco Products and Firearms ALCOHOL AND TOBACCO TAX AND TRADE BUREAU, DEPARTMENT OF THE TREASURY LIQUORS WINE Administrative and Miscellaneous Provisions Authorities § 24.30...

  16. On Restraint of and Supervision over Power

    Institute of Scientific and Technical Information of China (English)

    DONG YUNHU

    2007-01-01

    @@ Power is the nucleus of social and political life. Effective restraint on and supervision over the operation of power is the fundamental way of preventing corruption of power, which at the same time constitutes an important indication to democracy and its development in a given country.

  17. Spirituality and School Counselor Education and Supervision

    Science.gov (United States)

    Gallo, Laura L.

    2014-01-01

    Spirituality is an area that has not received a great deal of attention in supervision, yet it can have substantial effects on the counseling process. A definition of spirituality that allows for a variety of worldviews can be useful to both counselor and client as it helps strengthen the counseling relationship and lessen differences between…

  18. 19 CFR 19.34 - Customs supervision.

    Science.gov (United States)

    2010-04-01

    ... 19 Customs Duties 1 2010-04-01 2010-04-01 false Customs supervision. 19.34 Section 19.34 Customs Duties U.S. CUSTOMS AND BORDER PROTECTION, DEPARTMENT OF HOMELAND SECURITY; DEPARTMENT OF THE TREASURY CUSTOMS WAREHOUSES, CONTAINER STATIONS AND CONTROL OF MERCHANDISE THEREIN Space Bonded for the Storage...

  19. Computer Monitor Supervision: A Clinical Note.

    Science.gov (United States)

    Scherl, Charles R.; Haley, Jay

    2000-01-01

    Presents communication procedures for supervisors and therapy trainees that have been developed as a result of the use of computer technology. Using the computer as a supervision tool, therapy can be influenced by the supervisor while minimizing disruption. Successes and pitfalls in a master's level practicum course in family therapy are…

  20. A Social Reconstruction Model of Supervision.

    Science.gov (United States)

    Seda, E. Elliott

    This paper presents a social reconstructionist model of supervision. The model connects schools and society, and considers the vital role teachers, students, staff, and others play in developing, designing, and implementing reforms in school and society. The model is based on the philosophy of social reconstructionism, which views schools as…

  1. 9 CFR 146.10 - Supervision.

    Science.gov (United States)

    2010-01-01

    ... 9 Animals and Animal Products 1 2010-01-01 2010-01-01 false Supervision. 146.10 Section 146.10 Animals and Animal Products ANIMAL AND PLANT HEALTH INSPECTION SERVICE, DEPARTMENT OF AGRICULTURE... authorize qualified persons as State Inspectors to perform the selecting and testing of participating...

  2. Experiences of Supervision at Practice Placement Sites

    Directory of Open Access Journals (Sweden)

    Lesley Diack

    2014-01-01

    Full Text Available Background. Whilst placement supervision and clinical education programmes are of significant value in shaping the behaviours of undergraduate healthcare students, appropriate provisions which are efficacious to the learner are somewhat lacking, particularly for students studying on UK MPharm programmes. Objectives. To explore and explain the value of placement supervision to the personal development and employability of undergraduate pharmacy students. Methods. Students participated in a week long community pharmacy pilot programme, a result of a collaborative effort between the School of Pharmacy and Life Sciences and a small consortium of community pharmacies. Students and stakeholders were asked to evaluate their experiences via separate questionnaires which had been developed to elicit views and attitudes. Key Findings. Feedback from students and stakeholders towards the experience was overwhelmingly positive with multiple benefits being reported. Of particular prominence was the emphasis in student feedback on the value of placement supervision to their professional and personal development. Findings were indicative of a development in clinical practice proficiencies, core skills, and improvement in decision-making practice. Conclusions. The benefits of clinical supervision to the professional and personal development of MPharm students are well documented, although attracting professional pharmacy supervisors is proving a problematic task for educational providers in the UK.

  3. Macroprudential Supervision : From Theory to Policy

    NARCIS (Netherlands)

    D. Schoenmaker (Dirk); P. Wierts (Peter)

    2016-01-01

    markdownabstractFinancial supervision focuses on the aggregate (macroprudential) in addition to the individual (microprudential). But an agreed framework for measuring and addressing financial imbalances is lacking. We propose a holistic approach for the financial system as a whole, beyond banking.

  4. The Learning Process of Supervisees Who Engage in the Reflecting Team Model within Group Supervision: A Grounded Theory Inquiry

    Science.gov (United States)

    Pender, Rebecca Lynn

    2012-01-01

    In recent years, counselor educators have begun to incorporate the use of the reflecting team process with the training of counselors. Specifically, the reflecting team has been used in didactic courses (Cox, 2003; Landis & Young, 1994; Harrawood, Wilde & Parmanand, 2011) and in supervision (Cox, 1997; Prest, Darden, & Keller, 1990;…

  5. The Itinerant Professor: A Model for Rural Inservice Teacher Training.

    Science.gov (United States)

    Wood, Thomas A.; And Others

    1982-01-01

    A systematic inservice training program for rural area teachers of severely disabled students featured weekly seminars, field visits, and supervised practica centering on 19 competencies. Eighteen of the 25 original trainees completed the program. (CL)

  6. Do structured arrangements for multidisciplinary peer group supervision make a difference for allied health professional outcomes?

    Directory of Open Access Journals (Sweden)

    Kuipers P

    2013-10-01

    Full Text Available Pim Kuipers,1,2 Susan Pager,1 Karen Bell,3 Fiona Hall,4 Melissa Kendall2,5,6 1Centre for Functioning and Health Research, Metro South Health, Brisbane, Queensland, Australia; 2Centre for Community Science, School of Human Services, Griffith University, Queensland, Australia; 3Darling Downs Hospital and Health Service, Queensland, Australia; 4Allied Health Professions Office of Queensland, Health Service and Innovation Division, Queensland, Australia; 5Acquired Brain Injury Outreach Service, Metro South Health, Brisbane, Queensland, Australia; 6Transitional Rehabilitation Programme, Metro South Health, Brisbane, Queensland, Australia Abstract: Peer group supervision, particularly in multidisciplinary formats, presents a potential means of providing professional support, and specifically clinical supervision, for allied health professionals. Debate exists regarding the extent to which the activities of these groups should be formalized. Results drawn from an evaluation of a large-scale peer group supervision initiative are described. Analysis of 192 responses from professionals involved in peer groups indicates that participants in groups that used formal documentation – which adopted the tools provided in training, and particularly those that used formal evaluation of their groups – rated their groups as having better processes and greater impact. Interestingly, multidisciplinary peer groups were rated as having similar impacts, processes, and purposes as the more homogenous single-discipline groups. It is concluded that the implementation of formal arrangements enhances the processes and outcomes of peer groups implemented for professional support and clinical supervision. Multidisciplinary membership of such groups is perceived as equally beneficial as single-discipline groups. Keywords: allied health, professional supervision, clinical supervision, professional support, multidisciplinary

  7. The supervision practice and pragmatic supervision%监理实务与务实监理

    Institute of Scientific and Technical Information of China (English)

    高奇峰

    2014-01-01

    This paper discussed systematically the supervision practice containing and pragmatic supervision methods, and emphatically illustrated the pragmatic supervision should do favor beforehand control, favor key links, parts, procedure, favor solving problem, favor details manage-ment, so as to ensure the supervision implementation of the compulsory in construction phase.%对监理实务的内含和务实监理的方法作了系统的论述,并着重说明了务实监理就要做到重事先控制、重关键环节、部位、工序、重解决问题、重细节管理,以切实履行监理在施工阶段应尽的义务。

  8. Rules for Supervision and Inspection of Offshore Oil Industry

    Institute of Scientific and Technical Information of China (English)

    Dai Zhongliang; Song Lisong

    1994-01-01

    @@ In short,safety supervision and technique inspection mean the safety supervision by the government,and the inspection by technical organization,and those are put into practice by a series of administrative rules and regulations.

  9. Supervised and semi-supervised infant-directed speech classification for parent-infant interaction analysis

    OpenAIRE

    Mahdhaoui, Ammar; Chetouani, Mohamed

    2011-01-01

    Abstract This paper describes the development of an infant-directed speech discrimination system for parent-infant interaction analysis. Different feature sets for emotion recognition were investigated using two classification techniques: supervised and semi-supervised. The classification experiments were carried out with short pre-segmented adult-directed speech and infant-directed speech segments extracted from real-life family home movies (with durations typically between 0.5 s ...

  10. The iOSC3 system: using ontologies and SWRL rules for intelligent supervision and care of patients with acute cardiac disorders.

    Science.gov (United States)

    Martínez-Romero, Marcos; Vázquez-Naya, José M; Pereira, Javier; Pereira, Miguel; Pazos, Alejandro; Baños, Gerardo

    2013-01-01

    Physicians in the Intensive Care Unit (ICU) are specially trained to deal constantly with very large and complex quantities of clinical data and make quick decisions as they face complications. However, the amount of information generated and the way the data are presented may overload the cognitive skills of even experienced professionals and lead to inaccurate or erroneous actions that put patients' lives at risk. In this paper, we present the design, development, and validation of iOSC3, an ontology-based system for intelligent supervision and treatment of critical patients with acute cardiac disorders. The system analyzes the patient's condition and provides a recommendation about the treatment that should be administered to achieve the fastest possible recovery. If the recommendation is accepted by the doctor, the system automatically modifies the quantity of drugs that are being delivered to the patient. The knowledge base is constituted by an OWL ontology and a set of SWRL rules that represent the expert's knowledge. iOSC3 has been developed in collaboration with experts from the Cardiac Intensive Care Unit (CICU) of the Meixoeiro Hospital, one of the most significant hospitals in the northwest region of Spain. PMID:23476717

  11. The iOSC3 System: Using Ontologies and SWRL Rules for Intelligent Supervision and Care of Patients with Acute Cardiac Disorders

    Directory of Open Access Journals (Sweden)

    Marcos Martínez-Romero

    2013-01-01

    Full Text Available Physicians in the Intensive Care Unit (ICU are specially trained to deal constantly with very large and complex quantities of clinical data and make quick decisions as they face complications. However, the amount of information generated and the way the data are presented may overload the cognitive skills of even experienced professionals and lead to inaccurate or erroneous actions that put patients’ lives at risk. In this paper, we present the design, development, and validation of iOSC3, an ontology-based system for intelligent supervision and treatment of critical patients with acute cardiac disorders. The system analyzes the patient’s condition and provides a recommendation about the treatment that should be administered to achieve the fastest possible recovery. If the recommendation is accepted by the doctor, the system automatically modifies the quantity of drugs that are being delivered to the patient. The knowledge base is constituted by an OWL ontology and a set of SWRL rules that represent the expert’s knowledge. iOSC3 has been developed in collaboration with experts from the Cardiac Intensive Care Unit (CICU of the Meixoeiro Hospital, one of the most significant hospitals in the northwest region of Spain.

  12. Development of well construction and workover supervising in Russian Federation

    International Nuclear Information System (INIS)

    Despite long history of drilling supervising it still has a number of uncertainties. The period of rapid rise in supervising development at the beginning of the 90's changed in the 2000's. The necessity in the development of this sphere is obvious. The author describes the history of supervising, period of its market condition adaptation. The research also gives principles methods of supervising development and first steps for its position improvement

  13. Reflective activity in the supervision of social workers

    OpenAIRE

    Āboltiņa, Līga

    2012-01-01

    Annotation of dissertation “Reflective activity in the supervision of social workers”. Supervision in Latvia is in its early stage of development, thus no reseach on its pedagogical activity providing social workers with the opportunity of professional development has been done so far. Specialists of social work are in need of pedagogically substantiated supervision. The doctoral theses studies the pedagogical aspect of the supervision process which ensures learning and facilit...

  14. Development of well construction and workover supervising in Russian Federation

    Science.gov (United States)

    Sizov, A.; Boyarko, G.; Shenderova, I.

    2014-08-01

    Despite long history of drilling supervising it still has a number of uncertainties. The period of rapid rise in supervising development at the beginning of the 90's changed in the 2000's. The necessity in the development of this sphere is obvious. The author describes the history of supervising, period of its market condition adaptation. The research also gives principles methods of supervising development and first steps for its position improvement.

  15. The Role of Laboratory Supervision in Improving the Quality of Malaria Diagnosis: A Pilot Study in Huambo, Angola.

    Science.gov (United States)

    Luckett, Rebecca; Mugizi, Rukaaka; Lopes, Sergio; Etossi, R Cacilda; Allan, Richard

    2016-03-01

    In 2006, the Angolan National Malaria Control Program introduced clinical guidelines for malaria case management, which included diagnostic confirmation of malaria before administration of treatment; however, diagnostic practices were inconsistent and of unknown quality. In 2009, a laboratory supervision program was implemented in Huambo Province, with the goal of assessing and improving diagnosis of malaria within the confines of available in-country resources. Supervisions were carried out from 2009 to 2014 using a standardized supervision tool by national laboratory trainers. Data from the first supervision were compared with that from the final supervision. Over the study period, the number and level of training of laboratory technicians increased, and there was a nonstatistically significant trend toward improved laboratory conditions. There was a significant reduction in false-positive microscopy slide reading (P = 0.0133). Laboratory infrastructural capacity to diagnose other communicable diseases, including syphilis, human immunodeficiency virus and hepatitis B virus infections (P = 0.0012, 0.0233 and 0.0026, respectively), also improved significantly. Laboratory supervision for malaria diagnosis found significant areas for improvement, and in combination with concurrent capacity-building activities, it improved the diagnostic capacity for malaria and other diseases. Importantly, this study demonstrates that locally available resources can be used to improve the accuracy of malaria diagnosis. PMID:26711510

  16. Licencing and Training Reform in the Australian Aircraft Maintenance Industry

    Science.gov (United States)

    Hampson, Ian; Fraser, Doug

    2016-01-01

    The training and licencing of aircraft maintenance engineers fulfils a crucial protective function since it is they who perform and supervise aircraft maintenance and certify that planes are safe afterwards. In Australia, prior to training reform, a trades-based system of aircraft maintenance engineer training existed in an orderly relation with…

  17. 29 CFR 1926.21 - Safety training and education.

    Science.gov (United States)

    2010-07-01

    ... 29 Labor 8 2010-07-01 2010-07-01 false Safety training and education. 1926.21 Section 1926.21... Provisions § 1926.21 Safety training and education. (a) General requirements. The Secretary shall, pursuant to section 107(f) of the Act, establish and supervise programs for the education and training...

  18. ANOMALY INTRUSION DETECTION DESIGN USING HYBRID OF UNSUPERVISED AND SUPERVISED NEURAL NETWORK

    Directory of Open Access Journals (Sweden)

    M. Bahrololum

    2009-07-01

    Full Text Available This paper proposed a new approach to design the system using a hybrid of misuse and anomalydetection for training of normal and attack packets respectively. The utilized method for attack training isthe combination of unsupervised and supervised Neural Network (NN for Intrusion Detection System. Bythe unsupervised NN based on Self Organizing Map (SOM, attacks will be classified into smallercategories considering their similar features, and then unsupervised NN based on Backpropagation willbe used for clustering. By misuse approach known packets would be identified fast and unknown attackswill be able to detect by this method.

  19. Examination of posttraining supervision of peer counselors in a motivational enhancement intervention to reduce drinking in a sample of heavy-drinking college students.

    Science.gov (United States)

    Mastroleo, Nadine R; Turrisi, Rob; Carney, Jolynn V; Ray, Anne E; Larimer, Mary E

    2010-10-01

    Importance of peer counselor posttraining supervision on motivational interviewing (MI) microskills and postintervention drinking outcomes were evaluated in a sample of heavy-drinking undergraduate students completing Brief Alcohol Screening and Intervention for College Students (BASICS; L.A. Dimeff, J.S. Baer, D.R. Kivlahan, & G.A. Marlatt, 1999). Two peer counselor groups were trained using identical protocols. Posttraining, one group was randomized to receive supervision, whereas the other received no supervision. Groups were subsequently compared on MI microskills. College students (n = 122) were randomly assigned to either assessment-only control, supervision, or no supervision groups and completed a BASICS intervention. Postintervention drinking outcomes were examined. Results suggested supervision aided peer counselors in reducing use of closed-ended questions. Both treatment groups reduced total drinks per week and heavy-drinking behaviors compared to control. No differences on peak blood alcohol concentration (BAC) or alcohol-related consequences were observed. Differences in supervision did not influence drinking outcomes; however, posttraining supervision for peer counselors deficient in MI microskills may be needed to improve BASICS fidelity. PMID:20673621

  20. Counseling Supervision within a Feminist Framework: Guidelines for Intervention

    Science.gov (United States)

    Degges-White, Suzanne E.; Colon, Bonnie R.; Borzumato-Gainey, Christine

    2013-01-01

    Feminist supervision is based on the principles of feminist theory. Goals include sharing responsibility for the supervision process, empowering the supervisee, attending to the contextual assumptions about clients, and analyzing gender roles. This article explores feminist supervision and guidelines for providing counseling supervision…

  1. The Doctoral Thesis and Supervision: The Student Perspective

    Science.gov (United States)

    Kiguwa, Peace; Langa, Malose

    2009-01-01

    The doctoral thesis constitutes both a negotiation of the supervision relationship as well as mastery and skill in participating in a specific community of practice. Two models of supervision are discussed: the technical rationality model with its emphasis on technical aspects of supervision, and the negotiated order model with an emphasis on…

  2. 7 CFR 27.16 - Inspection; weighing; samples; supervision.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Inspection; weighing; samples; supervision. 27.16... Samples § 27.16 Inspection; weighing; samples; supervision. The inspection, weighing, and sampling of... Services Office shall be (a) under the supervision of a supervisor of cotton inspection, or (b) by or...

  3. 34 CFR 300.149 - SEA responsibility for general supervision.

    Science.gov (United States)

    2010-07-01

    ... 34 Education 2 2010-07-01 2010-07-01 false SEA responsibility for general supervision. 300.149... EDUCATION OF CHILDREN WITH DISABILITIES State Eligibility Sea Responsibility for General Supervision and Implementation of Procedural Safeguards § 300.149 SEA responsibility for general supervision. (a) The SEA...

  4. 48 CFR 852.236-78 - Government supervision.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 5 2010-10-01 2010-10-01 false Government supervision. 852.236-78 Section 852.236-78 Federal Acquisition Regulations System DEPARTMENT OF VETERANS AFFAIRS... Government supervision. As prescribed in 836.572, insert the following clause: Government Supervision...

  5. 28 CFR 570.44 - Supervision and restraint requirements.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Supervision and restraint requirements... PROGRAMS AND RELEASE COMMUNITY PROGRAMS Escorted Trips § 570.44 Supervision and restraint requirements. Inmates under escort will be within the constant and immediate visual supervision of escorting staff...

  6. 46 CFR 380.23 - Supervision of records.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 8 2010-10-01 2010-10-01 false Supervision of records. 380.23 Section 380.23 Shipping... § 380.23 Supervision of records. (a) Contractors and others subject to the provisions of this subpart... shall be responsible for supervision of its document retention and disposal program. Immediately...

  7. 25 CFR 213.43 - Relinquishment of Government supervision.

    Science.gov (United States)

    2010-04-01

    ... 25 Indians 1 2010-04-01 2010-04-01 false Relinquishment of Government supervision. 213.43 Section... Relinquishment of Government supervision. All oil and gas leases hereafter executed shall contain the following relinquishment of supervision clause and terms operative after such relinquishment, or other provisions...

  8. Status of Clinical Supervision among School Counselors in Southeast Georgia

    Science.gov (United States)

    Black, Anna Lila; Bailey, Carrie Lynn; Bergin, James J.

    2011-01-01

    Previous studies have investigated the role of clinical supervision in school counseling practice. This research explored the status and meaning of clinical supervision to school counselors employed in two southeastern Georgia counties. Results indicate that participants value clinical supervision even though their employers did not necessarily…

  9. 34 CFR 303.501 - Supervision and monitoring of programs.

    Science.gov (United States)

    2010-07-01

    ... 34 Education 2 2010-07-01 2010-07-01 false Supervision and monitoring of programs. 303.501 Section... INFANTS AND TODDLERS WITH DISABILITIES State Administration General § 303.501 Supervision and monitoring... supervision of programs and activities receiving assistance under this part; and (2) The monitoring...

  10. 48 CFR 32.503-2 - Supervision of progress payments.

    Science.gov (United States)

    2010-10-01

    ... 48 Federal Acquisition Regulations System 1 2010-10-01 2010-10-01 false Supervision of progress... GENERAL CONTRACTING REQUIREMENTS CONTRACT FINANCING Progress Payments Based on Costs 32.503-2 Supervision of progress payments. (a) The extent of progress payments supervision, by prepayment review...

  11. 46 CFR 131.420 - Manning and supervision.

    Science.gov (United States)

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Manning and supervision. 131.420 Section 131.420 Shipping COAST GUARD, DEPARTMENT OF HOMELAND SECURITY (CONTINUED) OFFSHORE SUPPLY VESSELS OPERATIONS Sufficiency and Supervision of Crew of Survival Craft § 131.420 Manning and supervision. (a) There must...

  12. 18 CFR 367.9010 - Account 901, Supervision.

    Science.gov (United States)

    2010-04-01

    ..., Supervision. 367.9010 Section 367.9010 Conservation of Power and Water Resources FEDERAL ENERGY REGULATORY... ACT Operation and Maintenance Expense Chart of Accounts § 367.9010 Account 901, Supervision. This account must include the cost of labor and expenses incurred in the general direction and supervision...

  13. 7 CFR 58.6 - Supervision of service.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 3 2010-01-01 2010-01-01 false Supervision of service. 58.6 Section 58.6 Agriculture... Grading Service § 58.6 Supervision of service. All inspection or grading service shall be subject to supervision by a supervisory inspector or grader, Area Supervisor, or by the Chief, or such other person...

  14. 7 CFR 27.80 - Fees; classification, Micronaire, and supervision.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Fees; classification, Micronaire, and supervision. 27... Classification and Micronaire § 27.80 Fees; classification, Micronaire, and supervision. For services rendered by... classification and Micronaire determination results certified on cotton class certificates.) (e) Supervision,...

  15. 18 CFR 367.9110 - Account 911, Supervision.

    Science.gov (United States)

    2010-04-01

    ..., Supervision. 367.9110 Section 367.9110 Conservation of Power and Water Resources FEDERAL ENERGY REGULATORY... ACT Operation and Maintenance Expense Chart of Accounts § 367.9110 Account 911, Supervision. This account must include the cost of labor and expenses incurred in the general direction and supervision...

  16. 49 CFR 237.133 - Supervision of repairs and modifications.

    Science.gov (United States)

    2010-10-01

    ... 49 Transportation 4 2010-10-01 2010-10-01 false Supervision of repairs and modifications. 237.133... Supervision of repairs and modifications. Each repair or modification pursuant to this part shall be performed under the immediate supervision of a railroad bridge supervisor as defined in § 237.55 of this part...

  17. 7 CFR 1944.665 - Supervision and inspection of work.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 13 2010-01-01 2009-01-01 true Supervision and inspection of work. 1944.665 Section 1944.665 Agriculture Regulations of the Department of Agriculture (Continued) RURAL HOUSING SERVICE... Supervision and inspection of work. Grantees are responsible for supervising all rehabilitation and...

  18. 12 CFR 905.13 - Office of Supervision.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Office of Supervision. 905.13 Section 905.13... OPERATIONS DESCRIPTION OF ORGANIZATION AND FUNCTIONS General Organization § 905.13 Office of Supervision. (a) General. The Office of Supervision is responsible for conducting on-site examinations of the...

  19. 18 CFR 367.9070 - Account 907, Supervision.

    Science.gov (United States)

    2010-04-01

    ..., Supervision. 367.9070 Section 367.9070 Conservation of Power and Water Resources FEDERAL ENERGY REGULATORY... ACT Operation and Maintenance Expense Chart of Accounts § 367.9070 Account 907, Supervision. This account must include the cost of labor and expenses incurred in the general direction and supervision...

  20. 27 CFR 19.970 - Supervision of operations.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Supervision of operations..., DEPARTMENT OF THE TREASURY LIQUORS DISTILLED SPIRITS PLANTS Distilled Spirits For Fuel Use Supervision § 19.970 Supervision of operations. The appropriate TTB officer may assign appropriate TTB officers...

  1. 7 CFR 27.73 - Supervision of transfers of cotton.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 2 2010-01-01 2010-01-01 false Supervision of transfers of cotton. 27.73 Section 27... Supervision of transfers of cotton. Whenever the owner of any cotton inspected and sampled for classification... be effected under the supervision of an exchange inspection agency or a supervisor of...

  2. Understanding Supervision: An Exploration of Aspiring Supervisors' Definitions.

    Science.gov (United States)

    Waite, Duncan

    1994-01-01

    Summarizes results of a study offering both retrospective and prospective views of supervision, based on graduate students' definitions of supervision. Four emergent themes included the domains of supervision, supervisory tasks, supervisory relationships, and supervisor traits. Findings suggest that aspiring supervisors confuse administration with…

  3. Supervision Travelling Incognito: The Forgotten Sister Discipline of Educational Administration.

    Science.gov (United States)

    Hazi, Helen M.; Glanz, Jeffrey

    The field of instructional supervision in schools has a history of being misunderstood and devalued, having been beset by problems of definition and purpose. This paper examines the history of supervision and its ties with educational administration, and describes implications for supervision and administration. There is a history of tension…

  4. 10 CFR 34.46 - Supervision of radiographers' assistants.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 1 2010-01-01 2010-01-01 false Supervision of radiographers' assistants. 34.46 Section 34... radiographers' assistants. Whenever a radiographer's assistant uses radiographic exposure devices, associated... personal supervision of a radiographer. The personal supervision must include: (a) The...

  5. Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction

    Science.gov (United States)

    Le, Hoang-Quynh; Tran, Mai-Vu; Dang, Thanh Hai; Ha, Quang-Thuy; Collier, Nigel

    2016-01-01

    The BioCreative V chemical-disease relation (CDR) track was proposed to accelerate the progress of text mining in facilitating integrative understanding of chemicals, diseases and their relations. In this article, we describe an extension of our system (namely UET-CAM) that participated in the BioCreative V CDR. The original UET-CAM system’s performance was ranked fourth among 18 participating systems by the BioCreative CDR track committee. In the Disease Named Entity Recognition and Normalization (DNER) phase, our system employed joint inference (decoding) with a perceptron-based named entity recognizer (NER) and a back-off model with Semantic Supervised Indexing and Skip-gram for named entity normalization. In the chemical-induced disease (CID) relation extraction phase, we proposed a pipeline that includes a coreference resolution module and a Support Vector Machine relation extraction model. The former module utilized a multi-pass sieve to extend entity recall. In this article, the UET-CAM system was improved by adding a ‘silver’ CID corpus to train the prediction model. This silver standard corpus of more than 50 thousand sentences was automatically built based on the Comparative Toxicogenomics Database (CTD) database. We evaluated our method on the CDR test set. Results showed that our system could reach the state of the art performance with F1 of 82.44 for the DNER task and 58.90 for the CID task. Analysis demonstrated substantial benefits of both the multi-pass sieve coreference resolution method (F1 + 4.13%) and the silver CID corpus (F1 +7.3%). Database URL: SilverCID–The silver-standard corpus for CID relation extraction is freely online available at: https://zenodo.org/record/34530 (doi:10.5281/zenodo.34530).

  6. Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction.

    Science.gov (United States)

    Le, Hoang-Quynh; Tran, Mai-Vu; Dang, Thanh Hai; Ha, Quang-Thuy; Collier, Nigel

    2016-07-01

    The BioCreative V chemical-disease relation (CDR) track was proposed to accelerate the progress of text mining in facilitating integrative understanding of chemicals, diseases and their relations. In this article, we describe an extension of our system (namely UET-CAM) that participated in the BioCreative V CDR. The original UET-CAM system's performance was ranked fourth among 18 participating systems by the BioCreative CDR track committee. In the Disease Named Entity Recognition and Normalization (DNER) phase, our system employed joint inference (decoding) with a perceptron-based named entity recognizer (NER) and a back-off model with Semantic Supervised Indexing and Skip-gram for named entity normalization. In the chemical-induced disease (CID) relation extraction phase, we proposed a pipeline that includes a coreference resolution module and a Support Vector Machine relation extraction model. The former module utilized a multi-pass sieve to extend entity recall. In this article, the UET-CAM system was improved by adding a 'silver' CID corpus to train the prediction model. This silver standard corpus of more than 50 thousand sentences was automatically built based on the Comparative Toxicogenomics Database (CTD) database. We evaluated our method on the CDR test set. Results showed that our system could reach the state of the art performance with F1 of 82.44 for the DNER task and 58.90 for the CID task. Analysis demonstrated substantial benefits of both the multi-pass sieve coreference resolution method (F1 + 4.13%) and the silver CID corpus (F1 +7.3%).Database URL: SilverCID-The silver-standard corpus for CID relation extraction is freely online available at: https://zenodo.org/record/34530 (doi:10.5281/zenodo.34530). PMID:27630201

  7. Sieve-based coreference resolution enhances semi-supervised learning model for chemical-induced disease relation extraction

    Science.gov (United States)

    Le, Hoang-Quynh; Tran, Mai-Vu; Dang, Thanh Hai; Ha, Quang-Thuy; Collier, Nigel

    2016-01-01

    The BioCreative V chemical-disease relation (CDR) track was proposed to accelerate the progress of text mining in facilitating integrative understanding of chemicals, diseases and their relations. In this article, we describe an extension of our system (namely UET-CAM) that participated in the BioCreative V CDR. The original UET-CAM system’s performance was ranked fourth among 18 participating systems by the BioCreative CDR track committee. In the Disease Named Entity Recognition and Normalization (DNER) phase, our system employed joint inference (decoding) with a perceptron-based named entity recognizer (NER) and a back-off model with Semantic Supervised Indexing and Skip-gram for named entity normalization. In the chemical-induced disease (CID) relation extraction phase, we proposed a pipeline that includes a coreference resolution module and a Support Vector Machine relation extraction model. The former module utilized a multi-pass sieve to extend entity recall. In this article, the UET-CAM system was improved by adding a ‘silver’ CID corpus to train the prediction model. This silver standard corpus of more than 50 thousand sentences was automatically built based on the Comparative Toxicogenomics Database (CTD) database. We evaluated our method on the CDR test set. Results showed that our system could reach the state of the art performance with F1 of 82.44 for the DNER task and 58.90 for the CID task. Analysis demonstrated substantial benefits of both the multi-pass sieve coreference resolution method (F1 + 4.13%) and the silver CID corpus (F1 +7.3%). Database URL: SilverCID–The silver-standard corpus for CID relation extraction is freely online available at: https://zenodo.org/record/34530 (doi:10.5281/zenodo.34530). PMID:27630201

  8. Integrated training support system for PWR operator training simulator

    International Nuclear Information System (INIS)

    The importance of operator training using operator training simulator has been recognized intensively. Since 1986, we have been developing and providing many PWR simulators in Japan. We also have developed some training support systems connected with the simulator and the integrated training support system to improve training effect and to reduce instructor's workload. This paper describes the concept and the effect of the integrated training support system and of the following sub-systems. We have PES (Performance Enhancement System) that evaluates training performance automatically by analyzing many plant parameters and operation data. It can reduce the deviation of training performance evaluation between instructors. PEL (Parameter and Event data Logging system), that is the subset of PES, has some data-logging functions. And we also have TPES (Team Performance Enhancement System) that is used aiming to improve trainees' ability for communication between operators. Trainee can have conversation with virtual trainees that TPES plays automatically. After that, TPES automatically display some advice to be improved. RVD (Reactor coolant system Visual Display) displays the distributed hydraulic-thermal condition of the reactor coolant system in real-time graphically. It can make trainees understand the inside plant condition in more detail. These sub-systems have been used in a training center and have contributed the improvement of operator training and have gained in popularity. (author)

  9. 论总监与企业发展%On general supervision and enterprise development

    Institute of Scientific and Technical Information of China (English)

    石建兵

    2012-01-01

    Combining with the work practice, the paper explores the internal relationship between the general supervising engineer and the super- vision enterprise and its importance, illustrates how the general supervising engineer undertakes the management of the program supervision department effectively and points out the daily management of the supervision in program department should be accomplished well, the human resource management be promoted, the training be improved, and the performance appraisal be established.%结合自身工作实践,探讨了总监理工程师与监理企业发展之间的内在联系及其重要性,着重阐述了总监理工程师如何有效地进行项目监理部管理工作,提出应抓好项目监理部日常管理,强化人力资源管理,加强培训,并建立绩效考核。

  10. Extending self-organizing maps for supervised classification of remotely sensed data

    Institute of Scientific and Technical Information of China (English)

    CHEN Yongliang

    2009-01-01

    An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the input layer depends on the dimensionality of input patterns. The number of neurons in the output layer equals the number of the desired classes. The number of neurons in the Kohonen layer may be a few to several thousands, which depends on the complexity of classification problems and the classification precision. Each training sample is expressed by a pair of vectors: an input vector and a class codebook vector. When a training sample is input into the model, Kohonens competitive learning rule is applied to selecting the winning neuron from the Kohonen layer and the weight coefficients connecting all the neurons in the input layer with both the winning neuron and its neighbors in the Kohonen layer are modified to be closer to the input vector, and those connecting all the neurons around the winning neuron within a certain diameter in the Kohonen layer with all the neurons in the output layer are adjusted to be closer to the class codebook vector. If the number of training samples is sufficiently large and the learning epochs iterate enough times, the model will be able to serve as a supervised classifier. The model has been tentatively applied to the supervised classification of multispectral remotely sensed data. The author compared the performances of the extended SOM and BPN in remotely sensed data classification. The investigation manifests that the extended SOM is feasible for supervised classification.

  11. A systematic review of professional supervision experiences and effects for allied health practitioners working in non-metropolitan health care settings

    Directory of Open Access Journals (Sweden)

    Ducat WH

    2015-08-01

    of an agreed upon definition and functions of supervision when supervisors from diverse allied health disciplines were surveyed. While methodologically weak, all studies reported positive perceptions of supervision across professionals, supervisors, and managers. This is in accordance with previous research in the wider supervision literature. Discussion: Considering the large pool of studies retrieved for further investigation, few of these met inclusion criteria demonstrating the paucity of primary research in this area. Increased training, policies, and implementation frameworks to ensure the definition and functions of supervision are agreed upon across the allied health disciplines in non-metropolitan areas is needed. Furthermore, systematic evaluation of supervision implementation in non-metropolitan settings, investigation of the experience and effects of distance based supervision (versus face-to-face, and increased rigor in research studies investigating non-metropolitan allied health profession supervision is needed. Keywords: clinical supervision, allied health, professional development

  12. Knowledge-based full-automatic control system for a nuclear ship reactor

    International Nuclear Information System (INIS)

    Plant operations aboard nuclear ships require quick judgements and actions due to changing marine conditions such as wind, waves and currents. Furthermore, additional human support is not available for nuclear ship operation at sea, so advanced automatic operations are necessary to reduce the number of operators required finally. Therefore, an advanced automatic operating system has been developed based on operational knowledge of nuclear ship 'Mutsu' plant. The advanced automatic operating system includes both the automatic operation system and the operator-support system which assists operators in completing actions during plant accidents, anomaly diagnosis and plant supervision. These system are largely being developed using artificial intelligent techniques such as neural network, fuzzy logic and knowledge-based expert. The automatic operation system is fundamentally based upon application of an operator's knowledge of both normal (start-up to rated power level) and abnormal (after scram) operations. Comparing plant behaviors from start-up to power level by the automatic operation with by 'Mutsu' manual operation, stable automatic operation was obtained almost same as manual operation within all operating limits. The abnormal automatic system was for hard work of manual operations after scram or LOCA accidents. An integrating system with the normal and the abnormal automatic systems are being developed for interacting smoothly both systems. (author)

  13. Knowledge-based full-automatic control system for a nuclear ship reactor

    Energy Technology Data Exchange (ETDEWEB)

    Shimazaki, J.; Nakazawa, T.; Yabuuchi, N. [Japan Atomic Energy Research Inst., Tokai, Ibaraki (Japan)

    2000-03-01

    Plant operations aboard nuclear ships require quick judgements and actions due to changing marine conditions such as wind, waves and currents. Furthermore, additional human support is not available for nuclear ship operation at sea, so advanced automatic operations are necessary to reduce the number of operators required finally. Therefore, an advanced automatic operating system has been developed based on operational knowledge of nuclear ship 'Mutsu' plant. The advanced automatic operating system includes both the automatic operation system and the operator-support system which assists operators in completing actions during plant accidents, anomaly diagnosis and plant supervision. These system are largely being developed using artificial intelligent techniques such as neural network, fuzzy logic and knowledge-based expert. The automatic operation system is fundamentally based upon application of an operator's knowledge of both normal (start-up to rated power level) and abnormal (after scram) operations. Comparing plant behaviors from start-up to power level by the automatic operation with by 'Mutsu' manual operation, stable automatic operation was obtained almost same as manual operation within all operating limits. The abnormal automatic system was for hard work of manual operations after scram or LOCA accidents. An integrating system with the normal and the abnormal automatic systems are being developed for interacting smoothly both systems. (author)

  14. Automatic text summarization

    CERN Document Server

    Torres Moreno, Juan Manuel

    2014-01-01

    This new textbook examines the motivations and the different algorithms for automatic document summarization (ADS). We performed a recent state of the art. The book shows the main problems of ADS, difficulties and the solutions provided by the community. It presents recent advances in ADS, as well as current applications and trends. The approaches are statistical, linguistic and symbolic. Several exemples are included in order to clarify the theoretical concepts.  The books currently available in the area of Automatic Document Summarization are not recent. Powerful algorithms have been develop

  15. Automatic utilities auditing

    Energy Technology Data Exchange (ETDEWEB)

    Smith, Colin Boughton [Energy Metering Technology (United Kingdom)

    2000-08-01

    At present, energy audits represent only snapshot situations of the flow of energy. The normal pattern of energy audits as seen through the eyes of an experienced energy auditor is described. A brief history of energy auditing is given. It is claimed that the future of energy auditing lies in automatic meter reading with expert data analysis providing continuous automatic auditing thereby reducing the skill element. Ultimately, it will be feasible to carry out auditing at intervals of say 30 minutes rather than five years.

  16. Automatic Camera Control

    DEFF Research Database (Denmark)

    Burelli, Paolo; Preuss, Mike

    2014-01-01

    Automatically generating computer animations is a challenging and complex problem with applications in games and film production. In this paper, we investigate howto translate a shot list for a virtual scene into a series of virtual camera configurations — i.e automatically controlling the virtual...... camera. We approach this problem by modelling it as a dynamic multi-objective optimisation problem and show how this metaphor allows a much richer expressiveness than a classical single objective approach. Finally, we showcase the application of a multi-objective evolutionary algorithm to generate a shot...

  17. Active relearning for robust supervised classification of pulmonary emphysema

    Science.gov (United States)

    Raghunath, Sushravya; Rajagopalan, Srinivasan; Karwoski, Ronald A.; Bartholmai, Brian J.; Robb, Richard A.

    2012-03-01

    Radiologists are adept at recognizing the appearance of lung parenchymal abnormalities in CT scans. However, the inconsistent differential diagnosis, due to subjective aggregation, mandates supervised classification. Towards optimizing Emphysema classification, we introduce a physician-in-the-loop feedback approach in order to minimize uncertainty in the selected training samples. Using multi-view inductive learning with the training samples, an ensemble of Support Vector Machine (SVM) models, each based on a specific pair-wise dissimilarity metric, was constructed in less than six seconds. In the active relearning phase, the ensemble-expert label conflicts were resolved by an expert. This just-in-time feedback with unoptimized SVMs yielded 15% increase in classification accuracy and 25% reduction in the number of support vectors. The generality of relearning was assessed in the optimized parameter space of six different classifiers across seven dissimilarity metrics. The resultant average accuracy improved to 21%. The co-operative feedback method proposed here could enhance both diagnostic and staging throughput efficiency in chest radiology practice.

  18. Random forest automated supervised classification of Hipparcos periodic variable stars

    Science.gov (United States)

    Dubath, P.; Rimoldini, L.; Süveges, M.; Blomme, J.; López, M.; Sarro, L. M.; De Ridder, J.; Cuypers, J.; Guy, L.; Lecoeur, I.; Nienartowicz, K.; Jan, A.; Beck, M.; Mowlavi, N.; De Cat, P.; Lebzelter, T.; Eyer, L.

    2011-07-01

    We present an evaluation of the performance of an automated classification of the Hipparcos periodic variable stars into 26 types. The sub-sample with the most reliable variability types available in the literature is used to train supervised algorithms to characterize the type dependencies on a number of attributes. The most useful attributes evaluated with the random forest methodology include, in decreasing order of importance, the period, the amplitude, the V-I colour index, the absolute magnitude, the residual around the folded light-curve model, the magnitude distribution skewness and the amplitude of the second harmonic of the Fourier series model relative to that of the fundamental frequency. Random forests and a multi-stage scheme involving Bayesian network and Gaussian mixture methods lead to statistically equivalent results. In standard 10-fold cross-validation (CV) experiments, the rate of correct classification is between 90 and 100 per cent, depending on the variability type. The main mis-classification cases, up to a rate of about 10 per cent, arise due to confusion between SPB and ACV blue variables and between eclipsing binaries, ellipsoidal variables and other variability types. Our training set and the predicted types for the other Hipparcos periodic stars are available online.

  19. AUTOMATIC CLASSIFICATION OF STRUCTURAL MRI FOR DIAGNOSIS OF NEURODEGENERATIVE DISEASES

    Directory of Open Access Journals (Sweden)

    Hernández-Tamames Juan Antonio

    2010-12-01

    Full Text Available This paper presents an automatic approach which classifies structural Magnetic Resonance images into pathological or healthy controls. A classification model was trained to find the boundaries that allow to separate the study groups. The method uses the deformation values from a set of regions, automatically identified as relevant, in a process that selects the statistically significant regions of a t-test under the restriction that this significance must be spatially coherent within a neighborhood of 5 voxels. The proposed method was assessed to distinguish healthy controls from schizophrenia patients. Classification results showed accuracy between 74% and 89%, depending on the stage of the disease and number of training samples.

  20. Rotorcraft trajectory tracking by supervised NLI control

    OpenAIRE

    A. Drouin; O. Lengerke; A.B. Ramos; F Mora-Camino

    2012-01-01

    The purpose of this communication is to present a new nonlinear control structure for trajectory tracking taking explicitly into account actuators saturation. Here trajectory tracking by a four rotor aircraft is considered. After introducing the flight dynamics equations for the four rotor aircraft, a trajectory tracking control structure based on a two layer non linear inverse approach is adopted and a supervision layer is introduced to take into account the possible actuators saturation.