Log in

Relevant bibliographies by topics / Supervision signal / Journal articles

Journal articles on the topic 'Supervision signal'

To see the other types of publications on this topic, follow the link: Supervision signal.

Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Supervision signal.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Li, Teng, Huan Chang, and Jun Wu. "Nonnegative Signal Decomposition with Supervision." Mathematical Problems in Engineering 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/620537.

Full text

Abstract:

This paper presents a novel algorithm to numerically decompose mixed signals in a collaborative way, given supervision of the labels that each signal contains. The decomposition is formulated as an optimization problem incorporating nonnegative constraint. A nonnegative data factorization solution is presented to yield the decomposed results. It is shown that the optimization is efficient and decreases the objective function monotonically. Such a decomposition algorithm can be applied on multilabel training samples for pattern classification. The real-data experimental results show that the proposed algorithm can significantly facilitate the multilabel image classification performance with weak supervision.

APA, Harvard, Vancouver, ISO, and other styles

2

Gao, Hongliang, Xiaoling Li, Chao Gao, and Jie Wu. "Neural Network Supervision Control Strategy for Inverted Pendulum Tracking Control." Discrete Dynamics in Nature and Society 2021 (March 23, 2021): 1–14. http://dx.doi.org/10.1155/2021/5536573.

Full text

Abstract:

This paper presents several control methods and realizes the stable tracking for the inverted pendulum system. Based on the advantages of RBF and traditional PID, a novel PID controller based on the RBF neural network supervision control method (PID-RBF) is proposed. This method realizes the adaptive adjustment of the stable tracking signal of the system. Furthermore, an improved PID controller based on RBF neural network supervision control strategy (IPID-RBF) is presented. This control strategy adopts the supervision control method of feed-forward and feedback. The response speed of the system is further improved, and the overshoot of the tracking signal is further reduced. The tracking control simulation of the inverted pendulum system under three different signals is given to illustrate the effectiveness of the proposed method.

APA, Harvard, Vancouver, ISO, and other styles

3

Kim, Byung-Gyu, and Dong-San Jun. "Artificial Intelligence for Multimedia Signal Processing." Applied Sciences 12, no. 15 (July 22, 2022): 7358. http://dx.doi.org/10.3390/app12157358.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Weispfenning, Thomas. "Model and Signal Based Supervision of Components of Cars." IFAC Proceedings Volumes 30, no. 8 (June 1997): 479–84. http://dx.doi.org/10.1016/s1474-6670(17)43867-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Tumanyan, Narek T. "Deep Learning Approaches for Voice Emotion Recognition Using Sentiment-Arousal Space." Mathematical Problems of Computer Science 56 (December 14, 2021): 35–47. http://dx.doi.org/10.51408/1963-0077.

Full text

Abstract:

In this paper, we present deep learning-based approaches for the task of emotion recognition in voice recordings. A key component of the methods is the representation of emotion categories in a sentiment-arousal space and the usage of this space representation in the supervision signal. Our methods use wavelet and cepstral features as efficient data representations of audio signals. Convolutional Neural Network (CNN) and Long Short Term Memory Network (LSTM) architectures were used in recognition tasks, depending on whether the audio representation was treated as a spatial signal or as a temporal signal. Various recognition approaches were used, and the results were analyzed.

APA, Harvard, Vancouver, ISO, and other styles

6

Han, Haopeng, Eva Oberacker, Andre Kuehne, Shuailin Wang, Thomas Wilhelm Eigentler, Eckhard Grass, and Thoralf Niendorf. "Multi-Channel RF Supervision Module for Thermal Magnetic Resonance Based Cancer Therapy." Cancers 13, no. 5 (February 28, 2021): 1001. http://dx.doi.org/10.3390/cancers13051001.

Full text

Abstract:

Glioblastoma multiforme (GBM) is the most lethal and common brain tumor. Combining hyperthermia with chemotherapy and/or radiotherapy improves the survival of GBM patients. Thermal magnetic resonance (ThermalMR) is a hyperthermia variant that exploits radio frequency (RF)-induced heating to examine the role of temperature in biological systems and disease. The RF signals’ power and phase need to be supervised to manage the formation of the energy focal point, accurate thermal dose control, and safety. Patient position during treatment also needs to be monitored to ensure the efficacy of the treatment and avoid damages to healthy tissue. This work reports on a multi-channel RF signal supervision module that is capable of monitoring and regulating RF signals and detecting patient motion. System characterization was performed for a broad range of frequencies. Monte-Carlo simulations were performed to examine the impact of power and phase errors on hyperthermia performance. The supervision module’s utility was demonstrated in characterizing RF power amplifiers and being a key part of a feedback control loop regulating RF signals in heating experiments. Electromagnetic field simulations were conducted to calculate the impact of patient displacement during treatment. The supervision module was experimentally tested for detecting patient motion to a submillimeter level. To conclude, this work presents a cost-effective RF supervision module that is a key component for a hyperthermia hardware system and forms a technological basis for future ThermalMR applications.

APA, Harvard, Vancouver, ISO, and other styles

7

Pedrycz, Witold, and George Vukovich. "Fuzzy clustering with supervision." Pattern Recognition 37, no. 7 (July 2004): 1339–49. http://dx.doi.org/10.1016/j.patcog.2003.11.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Rasztovits-Wiech, M., K. Studer, and W. R. Leeb. "Bit error probability estimation algorithm for signal supervision in all-optical networks." Electronics Letters 35, no. 20 (1999): 1754. http://dx.doi.org/10.1049/el:19991176.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Minarčík, Peter, Hynek Procházka, and Martin Gulan. "Advanced Supervision of Smart Buildings Using a Novel Open-Source Control Platform." Sensors 21, no. 1 (December 29, 2020): 160. http://dx.doi.org/10.3390/s21010160.

Full text

Abstract:

Gathering data and monitoring performance are at the heart of energy efficiency and comfort securing strategies in smart buildings. Therefore, it is crucial to present the obtained data to the user or administrator of such a building in an appropriate form. Moreover, evaluating the data in real time not only helps to maintain comfort, but also allows for a timely response from the user or operator to a possible fault. Continuous online monitoring and analysis of process behaviour, which is referred to as advanced supervision, is addressed in this paper by developing a procedure that will form an artificial operator autonomously supervising process. After introducing several techniques that are used for signal analysis, we propose an approach to advanced supervision of processes in smart buildings or other industrial control systems. The developed procedure is implemented on a control system platform that is particularly suitable for this purpose. Moreover, this platform includes a framework that provides support for the implementation of advanced control techniques and it is based on open-source tools, which is rarely seen in industrial applications. The developed advanced supervision procedure has been tested in simulation as well as in a practical case study using a real two-storey family house.

APA, Harvard, Vancouver, ISO, and other styles

10

Wang, Tiantian, Junjie Liu, Chuan Wan, and Zhi Wang. "Remote supervision strategy based on in-use vehicle OBD data flow." E3S Web of Conferences 268 (2021): 01007. http://dx.doi.org/10.1051/e3sconf/202126801007.

Full text

Abstract:

Test results from many researchers show that NOx emissions from parts of on-road heavy-duty diesels are higher than which been registered. Therefore, CN_VI emission regulations clearly proposes that the heavy-duty diesels should be supervised by a T-BOX which can transmit CAN message from vehicle OBD interface to the remote monitoring platform. Recognition of cheating behaver and calculation method of NOx emission were developed and verified by platform data from on-line vehicle. The modules in the platform can effectively monitor urea consumption rationality, injection system working state, exhaust temperature sensor signal reasonability, NOx sensor signal reasonability and NOx emission level, which can reduce the cost of supervision and governance, improve the effectiveness of regulation and provide basic data for policy making.

APA, Harvard, Vancouver, ISO, and other styles

11

Yang, Xue, Yang Tian, Kai Feng, Juan Yang, Shu-hui Zhang, and Shengnan Wang. "Signal Game Analysis on the Effectiveness of Coal Mine Safety Supervision Based on the Affective Events Theory." Complexity 2020 (June 26, 2020): 1–9. http://dx.doi.org/10.1155/2020/5710419.

Full text

Abstract:

The main cause of coal mine safety accidents is the unsafe behavior of miners who are affected by their emotional state. Therefore, the implementation of effective emotional supervision is important for achieving the sustainable development of coal mining enterprises in China. Assuming rational players, a signaling game between miners (emotion-driven and judgement-driven) and managers is established from the perspective of Affective Events Theory in order to examine the impact of managers’ emotions on coal miners’ behavior; it analyzes the players’ strategy selections as well as the factors influencing the equilibrium states. The results show that the safety risk deposits paid by managers and the costs of emotion-driven miners disguising any negative emotions affect equilibrium. Under the separating equilibrium state, the emotional supervision system faces “the paradox of almost totally safe systems” and will be broken; the emotion-driven miners disguising any negative emotions will be permitted to work in the coal mine, creating a safety risk. Under the pooling equilibrium state, strong economic constraints, such as setting suitable safety risk deposits, may achieve effective emotional supervision of the miners, reducing the safety risk. The results are verified against a case study of the China Pingmei Shenma Group. Therefore, setting a suitable safety risk deposit to improve emotional supervision and creating punitive measures to prevent miners from disguising any negative emotions can reduce the number of coal mine safety accidents in China.

APA, Harvard, Vancouver, ISO, and other styles

12

Lu, Xiaoou, Yangqi Qiao, Rui Zhu, Guijin Wang, Zhanyu Ma, and Jing-Hao Xue. "Generalisations of stochastic supervision models." Pattern Recognition 109 (January 2021): 107575. http://dx.doi.org/10.1016/j.patcog.2020.107575.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Tsai, Chen-Tse, and Dan Roth. "Concept Grounding to Multiple Knowledge Bases via Indirect Supervision." Transactions of the Association for Computational Linguistics 4 (December 2016): 141–54. http://dx.doi.org/10.1162/tacl_a_00089.

Full text

Abstract:

We consider the problem of disambiguating concept mentions appearing in documents and grounding them in multiple knowledge bases, where each knowledge base addresses some aspects of the domain. This problem poses a few additional challenges beyond those addressed in the popular Wikification problem. Key among them is that most knowledge bases do not contain the rich textual and structural information Wikipedia does; consequently, the main supervision signal used to train Wikification rankers does not exist anymore. In this work we develop an algorithmic approach that, by carefully examining the relations between various related knowledge bases, generates an indirect supervision signal it uses to train a ranking model that accurately chooses knowledge base entries for a given mention; moreover, it also induces prior knowledge that can be used to support a global coherent mapping of all the concepts in a given document to the knowledge bases. Using the biomedical domain as our application, we show that our indirectly supervised ranking model outperforms other unsupervised baselines and that the quality of this indirect supervision scheme is very close to a supervised model. We also show that considering multiple knowledge bases together has an advantage over grounding concepts to each knowledge base individually.

APA, Harvard, Vancouver, ISO, and other styles

14

Zurita-Millán, Daniel, Miguel Delgado-Prieto, Juan José Saucedo-Dorantes, Jesus Adolfo Cariño-Corrales, Roque A. Osornio-Rios, Juan Antonio Ortega-Redondo, and Rene de J. Romero-Troncoso. "Vibration Signal Forecasting on Rotating Machinery by means of Signal Decomposition and Neurofuzzy Modeling." Shock and Vibration 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/2683269.

Full text

Abstract:

Vibration monitoring plays a key role in the industrial machinery reliability since it allows enhancing the performance of the machinery under supervision through the detection of failure modes. Thus, vibration monitoring schemes that give information regarding future condition, that is, prognosis approaches, are of growing interest for the scientific and industrial communities. This work proposes a vibration signal prognosis methodology, applied to a rotating electromechanical system and its associated kinematic chain. The method combines the adaptability of neurofuzzy modeling with a signal decomposition strategy to model the patterns of the vibrations signal under different fault scenarios. The model tuning is performed by means of Genetic Algorithms along with a correlation based interval selection procedure. The performance and effectiveness of the proposed method are validated experimentally with an electromechanical test bench containing a kinematic chain. The results of the study indicate the suitability of the method for vibration forecasting in complex electromechanical systems and their associated kinematic chains.

APA, Harvard, Vancouver, ISO, and other styles

15

Vogel, Ryan M., and Marie S. Mitchell. "The Motivational Effects of Diminished Self-Esteem for Employees Who Experience Abusive Supervision." Journal of Management 43, no. 7 (January 15, 2015): 2218–51. http://dx.doi.org/10.1177/0149206314566462.

Full text

Abstract:

This research considers two theoretical perspectives on employees’ motivation associated with diminished self-esteem from abusive supervision. The self-defense view of diminished self-esteem suggests that abusive supervision motivates destructive behavior in an attempt to reassert personal control and protect victims’ self-image. The self-presentational view of diminished self-esteem suggests abusive supervision motivates behavior that attempts to signal fit with and value to the workgroup and organization. On the basis of these two theoretical perspectives, we examine how employees’ diminished self-esteem from abusive supervision can motivate destructive work behavior (i.e., supervisor-directed deviance, organizational deviance) and self-presentational behavior (i.e., putting on a façade, ingratiation). Additionally, employees’ turnover intentions, which are an indicator of employees’ psychological detachment from the organization, are considered a moderator of the effects of abusive supervision on diminished self-esteem and associated behavior such that high turnover intentions attenuate the effects. Results of two field studies and a daily diary study support the hypothesized model and show that abusive supervision indirectly influences employees’ workplace deviance and self-presentational behavior via diminished self-esteem. As predicted, the effects are stronger for employees with lower versus higher turnover intentions.

APA, Harvard, Vancouver, ISO, and other styles

16

Prat, Josep, and Sergio Ruiz-Moreno. "Transparent supervision of optically amplified fibre links with received signal and ASE monitoring." Optics Communications 183, no. 1-4 (September 2000): 65–71. http://dx.doi.org/10.1016/s0030-4018(00)00875-0.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Cong, Xinwei, Caiping Zhang, Jiuchun Jiang, Weige Zhang, Yan Jiang, and Linjing Zhang. "A Comprehensive Signal-Based Fault Diagnosis Method for Lithium-Ion Batteries in Electric Vehicles." Energies 14, no. 5 (February 24, 2021): 1221. http://dx.doi.org/10.3390/en14051221.

Full text

Abstract:

To enhance the operational reliability and safety of electric vehicles (EVs), big data platforms for EV supervision are rapidly developing, which makes a large quantity of battery data available for fault diagnosis. Since fault types related to lithium-ion batteries play a dominant role, a comprehensive fault diagnosis method is proposed in this paper, in pursuit of an accurate early fault diagnosis method based on voltage signals from battery cells. The proposed method for battery fault diagnosis mainly includes three parts: variational mode decomposition in the signal analysis part to separate the inconsistency of cell states, critical representative signal feature extraction by using a generalized dimensionless indicator construction formula and effective anomaly detection by sparsity-based clustering. The signal features of the majority of signal-based battery fault detection studies are found to be particular cases with a specific set of parameter values of the proposed indicator construction formula. With the sensitivity and stability balanced by appropriate moving-window size selection, the proposed signal-based method is validated to be capable of earlier anomaly detection, false-alarm reduction, and anomalous performance identification, compared with traditional approaches, based on actual pre-fault operating data from three different situations.

APA, Harvard, Vancouver, ISO, and other styles

18

Bartkowiak, Patryk, Radosław Patelski, Marta Kwiatkowska, and Dariusz Pazderski. "System Architecture for Development and Supervision of Robotic Astronomical Telescope." Pomiary Automatyka Robotyka 26, no. 4 (December 20, 2022): 43–51. http://dx.doi.org/10.14313/par_246/43.

Full text

Abstract:

In this paper the novel control and communication scheme designed to ease the development and maintenance of the robotic astronomical telescope device is presented. The proposed solution allows the user to remotely access any signal in the controller of the telescope without imposing any additional overhead during telescope operation. The implemented scheme can be used by both an automated control system and human operators for easy supervision, control, and maintenance of the device.

APA, Harvard, Vancouver, ISO, and other styles

19

Krishnan, T. "Efficiency of learning with imperfect supervision." Pattern Recognition 21, no. 2 (January 1988): 183–88. http://dx.doi.org/10.1016/0031-3203(88)90026-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Krishnan, T., and S. C. Nandy. "Efficiency of logistic-normal stochastic supervision." Pattern Recognition 23, no. 11 (January 1990): 1275–79. http://dx.doi.org/10.1016/0031-3203(90)90121-z.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Tagliasacchi, Marco, Beat Gfeller, Felix de Chaumont Quitry, and Dominik Roblek. "Pre-Training Audio Representations With Self-Supervision." IEEE Signal Processing Letters 27 (2020): 600–604. http://dx.doi.org/10.1109/lsp.2020.2985586.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Rupiah, Rupiah. "UTILIZATION OF INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) IN ACADEMIC SUPERVISION DURING THE COVID-19 PANDEMIC." Jurnal As-Salam 5, no. 2 (November 21, 2021): 120–28. http://dx.doi.org/10.37249/assalam.v5i2.304.

Full text

Abstract:

This study aims to determine the use of information and communication technology (ICT) in academic supervision during the Covid-19 pandemic, its effectiveness, and the obstacles faced. The research method used is a qualitative research method with a descriptive approach. Data was collected using Google Forms. The study results found that academic supervision was implemented by utilizing technology in the form of video call Zoom and Google meet applications. Other applications are also used to conduct discussions without video calls, such as WhatsApp and Telegram. The exciting thing is that school supervisors have used media questions in academic supervision activities. Constraints and solutions are also discussed to find the best solution in the future if academic supervision is still carried out online. The use of technology also has a positive impact in increasing the ability of school supervisors to use technology. Infrastructure improvements in rural areas are needed to ensure signal availability.

APA, Harvard, Vancouver, ISO, and other styles

23

Chen, Haipeng, Yunjie Liu, Zenan Shi, and Yingda Lyu. "Pancreas segmentation by two-view feature learning and multi-scale supervision." Biomedical Signal Processing and Control 74 (April 2022): 103519. http://dx.doi.org/10.1016/j.bspc.2022.103519.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

García Plaza, E., P. Núñez López, and E. Beamud González. "Multi-Sensor Data Fusion for Real-Time Surface Quality Control in Automated Machining Systems." Sensors 18, no. 12 (December 11, 2018): 4381. http://dx.doi.org/10.3390/s18124381.

Full text

Abstract:

Multi-sensor data fusion systems entail the optimization of a wide range of parameters related to the selection of sensors, signal feature extraction methods, and predictive modeling techniques. The monitoring of automated machining systems enables the intelligent supervision of the production process by detecting malfunctions, and providing real-time information for continuous process optimization, and production line decision-making. Monitoring technologies are essential for the reduction of production times and costs, and an improvement in product quality, discarding the need for post-process quality controls. In this paper, a multi-sensor data fusion system for the real-time surface quality control based on cutting force, vibration, and acoustic emission signals was assessed. A total of four signal processing methods were analyzed: time direct analysis (TDA), power spectral density (PSD), singular spectrum analysis (SSA), and wavelet packet transform (WPT). Owing to the nonlinear and stochastic nature of the process, two predictive modeling techniques, multiple regression and artificial neural networks, were evaluated to correlate signal parametric characterization with surface quality. The results showed a high correlation of surface finish with cutting force and vibration signals. The signal processing methods based on signal decomposition in a combined time and frequency domain (SSA and WPT) exhibited better signal feature extraction, detecting excitation frequency ranges correlated to surface finish. The artificial neural network model obtained the highest predictive power, with better behavior for the whole data range. The proposed on-line multi-sensor data fusion provided significant improvements for in-process quality control, with excellent predictive power, reliability, and response times.

APA, Harvard, Vancouver, ISO, and other styles

25

Hernández-González, O., M. E. Guerrero-Sánchez, M. Farza, C. M. Astorga-Zaragoz, O. Barreto-Arenas, and F. Ramírez-Rasgado. "Observer-based supervision of the cardiovascular system with delayed measurements." Memorias del Congreso Nacional de Control Automático 5, no. 1 (October 17, 2022): 380–85. http://dx.doi.org/10.58571/cnca.amca.2022.064.

Full text

Abstract:

This paper presents the design of a chain observer for monitoring the cardiovascular system. The system presents delays in the measured output. The chain observer proposed in this work is capable of estimating the free-delay state vector. The structure of the observer consists of two subsystems: the first subsystem at the base estimates the state vector with delay and by means of the second subsystem it is possible to estimate the delay-free state vector. {The proposed observer is applied for monitoring the dynamics of the cardiovascular system by obtaining the estimation of the state vector that is not available and reconstructing the output signal.

APA, Harvard, Vancouver, ISO, and other styles

26

Srikantha, Abhilash, and Juergen Gall. "Weak supervision for detecting object classes from activities." Computer Vision and Image Understanding 156 (March 2017): 138–50. http://dx.doi.org/10.1016/j.cviu.2016.09.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Escorcia, Victor, Cuong D. Dao, Mihir Jain, Bernard Ghanem, and Cees Snoek. "Guess where? Actor-supervision for spatiotemporal action localization." Computer Vision and Image Understanding 192 (March 2020): 102886. http://dx.doi.org/10.1016/j.cviu.2019.102886.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Chattopadhyay, Swarup, and Debasis Ganguly. "Node2vec with weak supervision on community structures." Pattern Recognition Letters 150 (October 2021): 147–54. http://dx.doi.org/10.1016/j.patrec.2021.06.024.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Pedrycz, Witold. "Algorithms of fuzzy clustering with partial supervision." Pattern Recognition Letters 3, no. 1 (January 1985): 13–20. http://dx.doi.org/10.1016/0167-8655(85)90037-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Jedermann, Reiner, Thomas Pötsch, and Chanaka Lloyd. "Communication techniques and challenges for wireless food quality monitoring." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 372, no. 2017 (June 13, 2014): 20130304. http://dx.doi.org/10.1098/rsta.2013.0304.

Full text

Abstract:

Remote measurement of product core temperature is an important prerequisite to improve the cool chain of food products and reduce losses. This paper examines and shows possible solutions to technical challenges that still hinder practical applications of wireless sensor networks in the field of food transport supervision. The high signal attenuation by water-containing products limits the communication range to less than 0.5 m for the commonly used 2.4 GHz radio chips. By theoretical analysis of the dependency of signal attenuation on the operating frequency, we show that the signal attenuation can be largely reduced by the use of 433 MHz or 866 MHz devices, but forwarding of messages over multiple hops inside a sensor network is mostly unavoidable to guarantee full coverage of a packed container. Communication protocols have to provide compatibility with widely accepted standards for integration into the global Internet, which has been achieved by programming an implementation of the constrained application protocol for wireless sensor nodes and integrating into IPv6-based networks. The sensor's battery lifetime can be extended by optimizing communication protocols and by in-network pre-processing of the sensor data. The feasibility of remote freight supervision was demonstrated by our full-scale ‘Intelligent Container’ prototype.

APA, Harvard, Vancouver, ISO, and other styles

31

Wang, Shaohua, Xiao Kang, Fasheng Liu, Xiushan Nie, and Xingbo Liu. "Discrete hashing with triple supervision learning." Journal of Visual Communication and Image Representation 81 (November 2021): 103355. http://dx.doi.org/10.1016/j.jvcir.2021.103355.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Li, Zhaoqing, Zhenxue Chen, Q. M. Jonathan Wu, and Chengyun Liu. "Real-time pedestrian detection with deep supervision in the wild." Signal, Image and Video Processing 13, no. 4 (January 24, 2019): 761–69. http://dx.doi.org/10.1007/s11760-018-1406-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Zhang, Yuanxiu, Yufeng Gao, Guangquan Zhou, Jianan He, Jun Xia, Guoyi Peng, Xiaojian Lou, Shoujun Zhou, Hui Tang, and Yang Chen. "Centerline-supervision multi-task learning network for coronary angiography segmentation." Biomedical Signal Processing and Control 82 (April 2023): 104510. http://dx.doi.org/10.1016/j.bspc.2022.104510.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Kwon, Bum Chul, Ben Eysenbach, Janu Verma, Kenney Ng, Christopher De Filippi, Walter F. Stewart, and Adam Perer. "Clustervision: Visual Supervision of Unsupervised Clustering." IEEE Transactions on Visualization and Computer Graphics 24, no. 1 (January 2018): 142–51. http://dx.doi.org/10.1109/tvcg.2017.2745085.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Bushway, Shawn. "Job-Related Programs for People on Supervision: Reframing the Problem." ANNALS of the American Academy of Political and Social Science 701, no. 1 (May 2022): 98–113. http://dx.doi.org/10.1177/00027162221115501.

Full text

Abstract:

Job training programs for people under supervision have been based on an economic framework that identifies individuals involved in crime as a disadvantaged group with poor human capital. The best available research evidence has not found that these programs consistently improve employment outcomes. This article reviews the evidence for the effectiveness of standard job training programs and then examines new developments in the field that use alternative frameworks for understanding the roles of such programs. The first alternative is signaling: how people under community supervision use the completion of job training to signal to employers and others that the behavior that led to their conviction is either anomalous or no longer representative of them. The second alternative is a model of desistance known as identity change: the ways in which job training can help individuals solidify a new, more prosocial identity. I make sense of extant work and new alternatives and provide a set of recommendations for change in the community supervision system.

APA, Harvard, Vancouver, ISO, and other styles

36

Jehl, Laura, Carolin Lawrence, and Stefan Riezler. "Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss." Transactions of the Association for Computational Linguistics 7 (November 2019): 233–48. http://dx.doi.org/10.1162/tacl_a_00265.

Full text

Abstract:

In many machine learning scenarios, supervision by gold labels is not available and conse quently neural models cannot be trained directly by maximum likelihood estimation. In a weak supervision scenario, metric-augmented objectives can be employed to assign feedback to model outputs, which can be used to extract a supervision signal for training. We present several objectives for two separate weakly supervised tasks, machine translation and semantic parsing. We show that objectives should actively discourage negative outputs in addition to promoting a surrogate gold structure. This notion of bipolarity is naturally present in ramp loss objectives, which we adapt to neural models. We show that bipolar ramp loss objectives outperform other non-bipolar ramp loss objectives and minimum risk training on both weakly supervised tasks, as well as on a supervised machine translation task. Additionally, we introduce a novel token-level ramp loss objective, which is able to outperform even the best sequence-level ramp loss on both weakly supervised tasks.

APA, Harvard, Vancouver, ISO, and other styles

37

Li, Qing, Xiaojiang Peng, Liangliang Cao, Wenbin Du, Hao Xing, Yu Qiao, and Qiang Peng. "Product image recognition with guidance learning and noisy supervision." Computer Vision and Image Understanding 196 (July 2020): 102963. http://dx.doi.org/10.1016/j.cviu.2020.102963.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Zhang, Liao, Yan Yan, Lin Cheng, and Hanzi Wang. "Learning Object Scale With Click Supervision for Object Detection." IEEE Signal Processing Letters 26, no. 11 (November 2019): 1618–22. http://dx.doi.org/10.1109/lsp.2019.2937387.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Peng, Junran, Haoquan Wang, Shaolong Yue, and Zhaoxiang Zhang. "Context-aware co-supervision for accurate object detection." Pattern Recognition 121 (January 2022): 108199. http://dx.doi.org/10.1016/j.patcog.2021.108199.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Qian, Mingyang, Jinqing Qi, Lihe Zhang, Mengyang Feng, and Huchuan Lu. "Language-aware weak supervision for salient object detection." Pattern Recognition 96 (December 2019): 106955. http://dx.doi.org/10.1016/j.patcog.2019.06.021.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Yang, Xiaowei, Zhiguo Feng, Yong Zhao, Guiying Zhang, and Lin He. "Edge supervision and multi-scale cost volume for stereo matching." Image and Vision Computing 117 (January 2022): 104336. http://dx.doi.org/10.1016/j.imavis.2021.104336.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Korkin, Oleksandr. "STOCHASTIC MODEL OF PROCESS OF ADAPTATION OF RADIOTECHNICAL SYSTEMS IS IN THE CONDITIONS OF STUDIES ON A TRAINING SAMPLE." Collection of scientific works of Odesa Military Academy, no. 16 (February 11, 2022): 144–50. http://dx.doi.org/10.37129/2313-7509.2021.16.144-150.

Full text

Abstract:

On the stage of planning and development of radiotechnical systems (RТS) the special place is taken to the evaluation of their efficiency in the real terms. Taking into account complication of decision of the indicated task it is expedient to spare basic attention to development of such model with the use of method of stochastic imitation modeling, that in the first close will confirm adequacy of theoretical researches. The article is a comparison of these experimental processes of adaptation of RТS with the adaptive antenna array (AAA) for information systems and with the auto jamming canceller (АJC) for the equal terms of signal and jamming situation, when an training sample is unclassified, testifies in favor on RТS with adaptive antenna array. In RТS with ААA criterion of a of maximum of relation signal to interference plus noise ratio (SINR) will be realized, even, if there is an useful signal in the cross-correlation matrix of supervision. For situations, when the adaptive system arrives at the potential value (the process of adaptation is completed) informative losses are minimum. Not monotony of process of adaptation at a supervision for an unclassified selection can be conditioned by the hit of useful signal in the feed-back of such system. In RТS with AJC criterion of a maximum of relation SINR will not be realized in connection with its reaction as on hindrances so continuous useful signal that can is in an unclassified selection. Informative losses for such systems in nondeterministic terms are maximal. Conducted a stochastic imitation modeling allows in the first close to confirm adequacy earlier the got theoretical researches of gradient algorithms of self-reactance adaptation for ААA and АJC in the conditions of studies on an unclassified selection. Keywords: adaptation, algorithms of adaptation, adaptive antenna array, auto jamming canceller, training sample, modeling.

APA, Harvard, Vancouver, ISO, and other styles

43

Ni, Ansong, Pengcheng Yin, and Graham Neubig. "Merging Weak and Active Supervision for Semantic Parsing." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 8536–43. http://dx.doi.org/10.1609/aaai.v34i05.6375.

Full text

Abstract:

A semantic parser maps natural language commands (NLs) from the users to executable meaning representations (MRs), which are later executed in certain environment to obtain user-desired results. The fully-supervised training of such parser requires NL/MR pairs, annotated by domain experts, which makes them expensive to collect. However, weakly-supervised semantic parsers are learnt only from pairs of NL and expected execution results, leaving the MRs latent. While weak supervision is cheaper to acquire, learning from this input poses difficulties. It demands that parsers search a large space with a very weak learning signal and it is hard to avoid spurious MRs that achieve the correct answer in the wrong way. These factors lead to a performance gap between parsers trained in weakly- and fully-supervised setting. To bridge this gap, we examine the intersection between weak supervision and active learning, which allows the learner to actively select examples and query for manual annotations as extra supervision to improve the model trained under weak supervision. We study different active learning heuristics for selecting examples to query, and various forms of extra supervision for such queries. We evaluate the effectiveness of our method on two different datasets. Experiments on the WikiSQL show that by annotating only 1.8% of examples, we improve over a state-of-the-art weakly-supervised baseline by 6.4%, achieving an accuracy of 79.0%, which is only 1.3% away from the model trained with full supervision. Experiments on WikiTableQuestions with human annotators show that our method can improve the performance with only 100 active queries, especially for weakly-supervised parsers learnt from a cold start. 1

APA, Harvard, Vancouver, ISO, and other styles

44

Artzi, Yoav, and Luke Zettlemoyer. "Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions." Transactions of the Association for Computational Linguistics 1 (December 2013): 49–62. http://dx.doi.org/10.1162/tacl_a_00209.

Full text

Abstract:

The context in which language is used provides a strong signal for learning to recover its meaning. In this paper, we show it can be used within a grounded CCG semantic parsing approach that learns a joint model of meaning and context for interpreting and executing natural language instructions, using various types of weak supervision. The joint nature provides crucial benefits by allowing situated cues, such as the set of visible objects, to directly influence learning. It also enables algorithms that learn while executing instructions, for example by trying to replicate human actions. Experiments on a benchmark navigational dataset demonstrate strong performance under differing forms of supervision, including correctly executing 60% more instruction sets relative to the previous state of the art.

APA, Harvard, Vancouver, ISO, and other styles

45

WHIG, PAWAN, and SYED NASEEM AHMAD. "DEVELOPMENT OF ECONOMICAL ASIC FOR PCS FOR WATER QUALITY MONITORING." Journal of Circuits, Systems and Computers 23, no. 06 (May 14, 2014): 1450079. http://dx.doi.org/10.1142/s0218126614500790.

Full text

Abstract:

In this paper, the design of an ASIC is presented that implement a low-cost system for the supervision of water quality in urban areas or rivers. Photo catalytic sensor (PCS) estimates the parameter biological oxygen demand (BOD) which is generally used to estimate quality of water. The system proposed in this paper involves a simple potentiometric approach that provides a correlation in the input–output signals of low-cost sensors. This approach which is more users friendly and fast in operation is obtained by modeling and optimization of sensor for water quality monitoring. This is to overcome several drawbacks generally found in the previous flow injection analysis method of determining chemical oxygen demand (COD)-like complex designing, nonlinearity and long computation time. The system constitutes a significant cost reduction in the supervision of water quality monitoring. The main reason of employing a readout circuit to PCS circuitry, is the fact that the fluctuation of O 2 influences the threshold voltage, which is internal parameter of the FET and can manifest itself as a voltage signal at output but as a function of the trans-conductance gain. The trans-conductance is a passive parameter and in order to derive voltage or current signal from its fluctuations the sensor has to be attached to readout circuit. This circuit provides high sensitivity to the changes in percentage of O 2 in the solution. In this design simple potentiometric approach with few passive components are used to build a readout circuit. The paper focuses on the electronic implementation of the readout system for the PCS which optimize the circuit performance and increases reliability.

APA, Harvard, Vancouver, ISO, and other styles

46

Pérez, Pablo, Gloria Huertas, Alberto Olmo, Andrés Maldonado-Jacobi, Juan Serrano, María Martín, Paula Daza, and Alberto Yúfera. "Remote Cell Growth Sensing Using Self-Sustained Bio-Oscillations." Sensors 18, no. 8 (August 3, 2018): 2550. http://dx.doi.org/10.3390/s18082550.

Full text

Abstract:

A smart sensor system for cell culture real-time supervision is proposed, allowing for a significant reduction in human effort applied to this type of assay. The approach converts the cell culture under test into a suitable “biological” oscillator. The system enables the remote acquisition and management of the “biological” oscillation signals through a secure web interface. The indirectly observed biological properties are cell growth and cell number, which are straightforwardly related to the measured bio-oscillation signal parameters, i.e., frequency and amplitude. The sensor extracts the information without complex circuitry for acquisition and measurement, taking advantage of the microcontroller features. A discrete prototype for sensing and remote monitoring is presented along with the experimental results obtained from the performed measurements, achieving the expected performance and outcomes.

APA, Harvard, Vancouver, ISO, and other styles

47

Piekarczyk, Marcin, Olaf Bar, Łukasz Bibrzycki, Michał Niedźwiecki, Krzysztof Rzecki, Sławomir Stuglik, Thomas Andersen, et al. "CNN-Based Classifier as an Offline Trigger for the CREDO Experiment." Sensors 21, no. 14 (July 14, 2021): 4804. http://dx.doi.org/10.3390/s21144804.

Full text

Abstract:

Gamification is known to enhance users’ participation in education and research projects that follow the citizen science paradigm. The Cosmic Ray Extremely Distributed Observatory (CREDO) experiment is designed for the large-scale study of various radiation forms that continuously reach the Earth from space, collectively known as cosmic rays. The CREDO Detector app relies on a network of involved users and is now working worldwide across phones and other CMOS sensor-equipped devices. To broaden the user base and activate current users, CREDO extensively uses the gamification solutions like the periodical Particle Hunters Competition. However, the adverse effect of gamification is that the number of artefacts, i.e., signals unrelated to cosmic ray detection or openly related to cheating, substantially increases. To tag the artefacts appearing in the CREDO database we propose the method based on machine learning. The approach involves training the Convolutional Neural Network (CNN) to recognise the morphological difference between signals and artefacts. As a result we obtain the CNN-based trigger which is able to mimic the signal vs. artefact assignments of human annotators as closely as possible. To enhance the method, the input image signal is adaptively thresholded and then transformed using Daubechies wavelets. In this exploratory study, we use wavelet transforms to amplify distinctive image features. As a result, we obtain a very good recognition ratio of almost 99% for both signal and artefacts. The proposed solution allows eliminating the manual supervision of the competition process.

APA, Harvard, Vancouver, ISO, and other styles

48

Huber, Patrick, Linzi Xing, and Giuseppe Carenini. "Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (June 28, 2022): 10794–802. http://dx.doi.org/10.1609/aaai.v36i10.21325.

Full text

Abstract:

RST-style discourse parsing plays a vital role in many NLP tasks, revealing the underlying semantic/pragmatic structure of potentially complex and diverse documents. Despite its importance, one of the most prevailing limitations in modern day discourse parsing is the lack of large-scale datasets. To overcome the data sparsity issue, distantly supervised approaches from tasks like sentiment analysis and summarization have been recently proposed. Here, we extend this line of research by exploiting distant supervision from topic segmentation, which can arguably provide a strong and oftentimes complementary signal for high-level discourse structures. Experiments on two human-annotated discourse treebanks confirm that our proposal generates accurate tree structures on sentence and paragraph level, consistently outperforming previous distantly supervised models on the sentence-to-document task and occasionally reaching even higher scores on the sentence-to-paragraph level.

APA, Harvard, Vancouver, ISO, and other styles

49

Chen, Changjian, Jing Wu, Xiaohan Wang, Shouxing Xiang, Song-Hai Zhang, Qifeng Tang, and Shixia Liu. "Towards Better Caption Supervision for Object Detection." IEEE Transactions on Visualization and Computer Graphics 28, no. 4 (April 1, 2022): 1941–54. http://dx.doi.org/10.1109/tvcg.2021.3138933.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Zhuang, Zhilin, Xiaolong Li, Jie Wang, Minghui Dai, and Shumiao Ma. "An Adaptive Threshold Detection Circuit for Action Potential." Journal of Physics: Conference Series 2290, no. 1 (June 1, 2022): 012003. http://dx.doi.org/10.1088/1742-6596/2290/1/012003.

Full text

Abstract:

Abstract In order to find the action potential hidden in the neural signal, this study proposes a method of detecting the action potential through adaptive threshold, and designs an adaptive threshold detection circuit which can be used for the action potential. Different from the past, the circuit controls the gain by the current of the input signal itself, so as to generate an appropriate adaptive comparison threshold. This circuit not only retains the advantages of the traditional threshold detection method, but also can quickly respond to the input signal, generate an appropriate comparison threshold and detect the action potential without external supervision. The spectre simulation shows that when the power supply voltage is 1.8V, the adaptive threshold generation circuit can accurately detect the action potential without missing or wrong detection.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!