Relevant bibliographies by topics / Public recognition

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Public recognition'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Public recognition"

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Watts, Henry. "Public recognition." Manufacturing Engineer 70, no. 2 (1991): 11. http://dx.doi.org/10.1049/me:19910030.

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Hand, Brian. "Public Mis Recognition." Circa, no. 91 (2000): 25. http://dx.doi.org/10.2307/25563547.

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Chavkina, S. "Public Opinion Recognition Problem in Public Management." Advanced Science Journal 2014, no. 4 (2014): 95–98. http://dx.doi.org/10.15550/asj.2014.04.095.

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Laskin, Daniel M., John A. Ellis, and Al M. Best. "Public recognition of specialty designations." Journal of Oral and Maxillofacial Surgery 60, no. 10 (2002): 1182–85. http://dx.doi.org/10.1053/joms.2002.35000.

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Boettcher, James W. "Respect, Recognition, and Public Reason." Social Theory and Practice 33, no. 2 (2007): 223–49. http://dx.doi.org/10.5840/soctheorpract200733226.

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Mehta, Munish. "Facial Recognition in Public Areas." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 2, no. 2 (2021): 1–7. http://dx.doi.org/10.54060/jieee/002.02.013.

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The security of information nowadays is very significant and difficult, so there are a number of ways to improve security. Especially in public areas like airports, railway stations, Universities, ATMs, etc. and security cameras are presently common in these areas. So, in this paper, we are presenting how Facial recognition can be used in public areas like airports, toll gates, offices, etc. We are comparing or matching a face of a person who we want to detect, with the video which is recorded through CCTV. There are certain algorithms to detect faces from video like through HAAR cascades, eigenface, fisher face, etc. open-source computer vision library is used for facial recognition.
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Fei, Ng Yee. "Facial Recognition Payment System: An Effortless Payment Method in Public Transport Sector." International Journal of Psychosocial Rehabilitation 23, no. 4 (2019): 1424–33. http://dx.doi.org/10.37200/ijpr/v23i4/pr190467.

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Reardon, Siobhan A. "Public Library Futures—Reality—Recognition—Reimagination." Public Library Quarterly 35, no. 4 (2016): 276–81. http://dx.doi.org/10.1080/01616846.2016.1244991.

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Sanai, Sato, Hideo Ueichi, and Takashi Kusumi. "Recognition of rehabilitation support be general public." Proceedings of the Annual Convention of the Japanese Psychological Association 81 (September 20, 2017): 2C—007–2C—007. http://dx.doi.org/10.4992/pacjpa.81.0_2c-007.

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Gaonkar, D. P. "Technologies of Public Forms: Circulation, Transfiguration, Recognition." Public Culture 15, no. 3 (2003): 385–98. http://dx.doi.org/10.1215/08992363-15-3-385.

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Dissertations / Theses on the topic "Public recognition"

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Davies, David Richard Llewellyn, and dave davies@canberra edu au. "Representing Time in Automated Speech Recognition." The Australian National University. Research School of Information Sciences and Engineering, 2003. http://thesis.anu.edu.au./public/adt-ANU20040602.163031.

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This thesis explores the treatment of temporal information in Automated Speech Recognition. It reviews the study of time in speech perception and concludes that while some temporal information in the speech signal is of crucial value in the speech decoding process not all temporal information is relevant to decoding. We then review the representation of temporal information in the main automated recognition techniques: Hidden Markov Models and Artificial Neural Networks. We find that both techniques have difficulty representing the type of temporal information that is phonetically or phonologically significant in the speech signal. In an attempt to improve this situation we explore the problem of representation of temporal information in the acoustic vectors commonly used to encode the speech acoustic signal in the front-ends of speech recognition systems. We attempt, where possible, to let the signal provide the temporal structure rather than imposing a fixed, clock-based timing framework. We develop a novel acoustic temporal parameter (the Parameter Similarity Length), a measure of temporal stability, that is tested against the time derivatives of acoustic parameters conventionally used in acoustic vectors.
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Tran, Dat Tat, and n/a. "Fuzzy approaches to speech and peaker recognition." University of Canberra. Management & Technology, 2000. http://erl.canberra.edu.au./public/adt-AUC20061109.151916.

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Stastical pattern recognition is the most successful approach to automatic speech and speaker recognition (ASASR). Of all the statistical pattern recognition techniques, the hidden Markov model (HMM) is the most important. The Gaussian mixture model (GMM) and vector quantisation (VQ) are also effective techniques, especially for speaker recognition and in conjunction with HMMs. for speech recognition. However, the performance of these techniques degrades rapidly in the context of insufficient training data and in the presence of noise or distortion. Fuzzy approaches with their adjustable parameters can reduce such degradation. Fuzzy set theory is one of the most, successful approaches in pattern recognition, where, based on the idea of a fuzzy membership function, fuzzy C'-means (FCM) clustering and noise clustering (NC) are the most, important techniques. To establish fuzzy approaches to ASASR, the following basic problems are solved. First, a time-dependent fuzzy membership function is defined for the HMM. Second, a general distance is proposed to obtain a relationship between modelling and clustering techniques. Third, fuzzy entropy (FE) clustering is proposed to relate fuzzy models to statistical models. Finally, fuzzy membership functions are proposed as discriminant functions in decison making. The following models are proposed: 1) the FE-HMM. NC-FE-HMM. FE-GMM. NC-FEGMM. FE-VQ and NC-FE-VQ in the FE approach. 2) the FCM-HMM. NC-FCM-HMM. FCM-GMM and NC-FCM-GMM in the FCM approach, and 3) the hard HMM and GMM as the special models of both FE and FCM approaches. Finally, a fuzzy approach to speaker verification and a further extension using possibility theory are also proposed. The evaluation experiments performed on the TI46, ANDOSL and YOHO corpora showbetter results for all of the proposed techniques in comparison with the non-fuzzy baseline techniques.
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Neville, Katrina Lee, and katrina neville@rmit edu au. "Channel Compensation for Speaker Recognition Systems." RMIT University. Electrical and Computer Engineering, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080514.093453.

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This thesis attempts to address the problem of how best to remedy different types of channel distortions on speech when that speech is to be used in automatic speaker recognition and verification systems. Automatic speaker recognition is when a person's voice is analysed by a machine and the person's identity is worked out by the comparison of speech features to a known set of speech features. Automatic speaker verification is when a person claims an identity and the machine determines if that claimed identity is correct or whether that person is an impostor. Channel distortion occurs whenever information is sent electronically through any type of channel whether that channel is a basic wired telephone channel or a wireless channel. The types of distortion that can corrupt the information include time-variant or time-invariant filtering of the information or the addition of 'thermal noise' to the information, both of these types of distortion can cause varying degrees of error in information being received and analysed. The experiments presented in this thesis investigate the effects of channel distortion on the average speaker recognition rates and testing the effectiveness of various channel compensation algorithms designed to mitigate the effects of channel distortion. The speaker recognition system was represented by a basic recognition algorithm consisting of: speech analysis, extraction of feature vectors in the form of the Mel-Cepstral Coefficients, and a classification part based on the minimum distance rule. Two types of channel distortion were investigated: • Convolutional (or lowpass filtering) effects • Addition of white Gaussian noise Three different methods of channel compensation were tested: • Cepstral Mean Subtraction (CMS) • RelAtive SpecTrAl (RASTA) Processing • Constant Modulus Algorithm (CMA) The results from the experiments showed that for both CMS and RASTA processing that filtering at low cutoff frequencies, (3 or 4 kHz), produced improvements in the average speaker recognition rates compared to speech with no compensation. The levels of improvement due to RASTA processing were higher than the levels achieved due to the CMS method. Neither the CMS or RASTA methods were able to improve accuracy of the speaker recognition system for cutoff frequencies of 5 kHz, 6 kHz or 7 kHz. In the case of noisy speech all methods analysed were able to compensate for high SNR of 40 dB and 30 dB and only RASTA processing was able to compensate and improve the average recognition rate for speech corrupted with a high level of noise (SNR of 20 dB and 10 dB).
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Yu, Donggang, and dyu@venus it swin edu au. "Processing and recognition of document and GIS images." Swinburne University of Technology, 2005. http://adt.lib.swin.edu.au./public/adt-VSWT20050812.095914.

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In intelligent document processing system and geographical information systems (GIS), the image processing and recognition play an important role. This thesis deals with various problems in processing images in documents and GIS: image smoothing, filling, linearization and extraction of contour features, extraction of structural points, separation and recognition of spurious segments in handwritten digits, reconstruction and recognition of broken digits, and separation and recognition of colour document and GIS images. These approaches are also called Optical Character Recognition (OCR). A new smoothing technique is developed to smooth follow contours of image. With the new smoothing algorithms, spurious pixels (points) of contours are removed based on smooth patterns, and smooth followed contours are found. Also, skeletons of image can be smoothed between neighboring �end� and �junction� points. Smooth following makes linearization of smoothed contours possible based on Freeman codes. A new filling algorithm of contours, project filling, is described based on two kinds of structural patterns. By this method, any complicated contours of images can be filled correctly. Different from other linearization methods, linearization and feature extraction of smoothed contours are based on difference chain codes. Curvature and bend angles of linearized are found. The convexity and concavity of linearized are described. In this way, a series of description features of contours is formed. Structural points are new and useful features to describe morphological structures between neighboring linearized lines. Extraction of structural points is based on structural patterns which are determined by element chain codes. Also, extension Freeman codes are used in this thesis. Structural points make description and recognition of contours possible. In order to recognize handwritten digits in document processing systems, separation of spurious segments, reconstruction of broken digits and recognition of handwritten digits are investigated. Experiments with large number of testing data set show satisfactory results for these algorithms. Separation and recognition of colour document and GIS images are discussed. Object images of document and GIS images are extracted based on the description of shape structures, prior knowledge and color information, which are associated with each other. Color images can be described by a limited number of colors in color document and GIS images. Therefore, separation of color image is done by color reduction method, and recognition of object images is based on structure patterns, prior knowledge and colour information. It can be seen that specific information should be considered in many practical problems to achieve better processing results.
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Kraal, Ben James, and n/a. "Considering design for automatic speech recognition in use." University of Canberra. Information Sciences and Engineering, 2006. http://erl.canberra.edu.au./public/adt-AUC20070514.092924.

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Talking to a computer is hard. Large vocabulary automatic speech recognition (ASR) systems are difficult to use and yet they are used by many people in their daily work. This thesis addresses the question: How is ASR used and made usable and useful in the workplace now? To answer these questions I went into two workplaces where ASR is currently used and one where ASR could be used in the future. This field work was done with designing in mind. ASR dictation systems are currently used in the Australian Public Service (APS) by people who suffer chronic workplace overuse injuries and in the Hansard department of Parliament House (Hansard) by un-injured people. Analysing the experiences of the users in the APS and at Hansard showed that using an ASR system in the workplace follows a broad trajectory that ends in the continued effort to maintain its usefulness. The usefulness of the ASR systems is �performed into existence� by the users with varying degrees of success. For both the APS and Hansard users, they use ASR to allow work to be performed; ASR acts to bridge the gap between otherwise incompatible ways of working. This thesis also asks: How could ASR be used and made usable and useful in workplaces in the future? To answer this question, I observed the work of communicating sentences at the ACT Magistrates Court. Communicating sentences is a process that is distributed in space and time throughout the Court and embodied in a set of documents that have a co-ordinating role. A design for an ASR system that supports the process of communicating sentences while respecting existing work process is described. Moving from field work to design is problematic. This thesis performs the process of moving from field work to design, as described above, and reflects the use of various analytic methods used to distill insights from field work data. The contributions of this thesis are: � The pragmatic use of existing social research methods and their antecedents as a corpus of analyses to inspire new designs; vi � a demonstration of the use of Actor-Network Theory in design both as critique and as part of a design process; � empirical field-work evidence of how large vocabulary ASR is used in the workplace; � a design showing how ASR could be introduced to the rich, complicated, environment of the ACT Magistrates Court; and, � a performance of the process of moving from field work to design.
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Ryan, Melissa-Sue, and n/a. "Ageing and emotion : categorisation, recognition, and social understanding." University of Otago. Department of Psychology, 2009. http://adt.otago.ac.nz./public/adt-NZDU20090309.150008.

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The present thesis investigated age differences in emotion recognition skills of 146 older adults (age range 60-92 years) and 146 young adults (age range 18-25 years) in four experiments. Experiment 1 assessed participants� ability to categorise facial expressions of sadness, fear, happiness, and surprise. In Experiments 2 and 3, participants were asked to identify six emotions (happiness, sadness, surprise, fear, anger, disgust) from still and dynamic faces, alone and in combination with vocal expressions. Finally, Experiment 4 compared performance on these standard emotion recognition paradigms to that of more ecologically-valid measures; the Faux Pas and Verbosity and Social Cues Tasks. Across the four studies, there was evidence of an age-related decline in emotion recognition skills. Older adults were overall less sensitive to perceptual differences between faces in Experiment 1 and showed a loss of categorical perception effect for fearful faces. Older adults were less accurate than young adults at recognising expressions of sadness, anger, and fear, across types of expression (voices and faces). There were some differences across modalities, with older adults showing difficulties with fear recognition for faces, but not voices, and difficulty in matching happy voices to happy faces but not for happy voices and faces presented in isolation. Experiment 2 also showed that the majority of older adult participants had some decline in emotion recognition skills. Age differences in performance were also apparent on the more ecologically-valid measures. Older adults were more likely than young adults to rate the protagonist as behaving inappropriately in the Faux Pas Task, even with the control videos, suggesting difficulty in discriminating faux pas. Older adults were also judged to be more verbose and to offer more off-topic information during the Verbosity Task than young adults and were less likely to recognise expressions of boredom in the Social Cues Task. These findings are discussed in terms of three theoretical accounts. A positivity bias (indicating increased recognition and experience of positive emotions and reduction for negative emotions) was not consistent with the older adults� difficulties with matching happy faces to voices and relatively preserved performance with disgusted expressions. Age-related decline in cognitive processes did not account for the specific pattern of age differences observed. The most plausible explanation for the age differences in the present thesis is that age-related neurological changes in the brain areas that process emotions, specifically the temporal and frontal areas, are likely to contribute to the older adults� declines in performance on emotion categorisation, emotion recognition, and social cognition tasks. The implications for everyday social interactions for older adults are also discussed.
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Kim, Jijoong. "Automatic aircraft recognition and identification." Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20060808.161115/index.html.

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Wang, Xuechuan, and n/a. "Feature Extraction and Dimensionality Reduction in Pattern Recognition and Their Application in Speech Recognition." Griffith University. School of Microelectronic Engineering, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030619.162803.

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Conventional pattern recognition systems have two components: feature analysis and pattern classification. Feature analysis is achieved in two steps: parameter extraction step and feature extraction step. In the parameter extraction step, information relevant for pattern classification is extracted from the input data in the form of parameter vector. In the feature extraction step, the parameter vector is transformed to a feature vector. Feature extraction can be conducted independently or jointly with either parameter extraction or classification. Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA) are the two popular independent feature extraction algorithms. Both of them extract features by projecting the parameter vectors into a new feature space through a linear transformation matrix. But they optimize the transformation matrix with different intentions. PCA optimizes the transformation matrix by finding the largest variations in the original feature space. LDA pursues the largest ratio of between-class variation and within-class variation when projecting the original feature space to a subspace. The drawback of independent feature extraction algorithms is that their optimization criteria are different from the classifier’s minimum classification error criterion, which may cause inconsistency between feature extraction and the classification stages of a pattern recognizer and consequently, degrade the performance of classifiers. A direct way to overcome this problem is to conduct feature extraction and classification jointly with a consistent criterion. Minimum classification Error (MCE) training algorithm provides such an integrated framework. MCE algorithm was first proposed for optimizing classifiers. It is a type of discriminative learning algorithm but achieves minimum classification error directly. The flexibility of the framework of MCE algorithm makes it convenient to conduct feature extraction and classification jointly. Conventional feature extraction and pattern classification algorithms, LDA, PCA, MCE training algorithm, minimum distance classifier, likelihood classifier and Bayesian classifier, are linear algorithms. The advantage of linear algorithms is their simplicity and ability to reduce feature dimensionalities. However, they have the limitation that the decision boundaries generated are linear and have little computational flexibility. SVM is a recently developed integrated pattern classification algorithm with non-linear formulation. It is based on the idea that the classification that a.ords dot-products can be computed efficiently in higher dimensional feature spaces. The classes which are not linearly separable in the original parametric space can be linearly separated in the higher dimensional feature space. Because of this, SVM has the advantage that it can handle the classes with complex nonlinear decision boundaries. However, SVM is a highly integrated and closed pattern classification system. It is very difficult to adopt feature extraction into SVM’s framework. Thus SVM is unable to conduct feature extraction tasks. This thesis investigates LDA and PCA for feature extraction and dimensionality reduction and proposes the application of MCE training algorithms for joint feature extraction and classification tasks. A generalized MCE (GMCE) training algorithm is proposed to mend the shortcomings of the MCE training algorithms in joint feature and classification tasks. SVM, as a non-linear pattern classification system is also investigated in this thesis. A reduced-dimensional SVM (RDSVM) is proposed to enable SVM to conduct feature extraction and classification jointly. All of the investigated and proposed algorithms are tested and compared firstly on a number of small databases, such as Deterding Vowels Database, Fisher’s IRIS database and German’s GLASS database. Then they are tested in a large-scale speech recognition experiment based on TIMIT database.
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Pipingas, Andrew, and apipingas@bsi swin edu au. "Steady-state visually evoked potential correlates of object recognition memory." Swinburne University of Technology, 2003. http://adt.lib.swin.edu.au./public/adt-VSWT20050322.171342.

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Object recognition memory (ORM) refers to both recognition of an object and the memory of having seen it before. In humans, ORM has been investigated using functional neuroimaging and electrophysiological techniques with tests of episodic memory retrieval involving recollection of previously studied items. Processes involved in the maintenance of a mental state adopted for the performance of a retrieval task (retrieval mode) appear to involve right frontal neural regions. More transient processes occurring at the time of item recollection (retrieval success) have shown scalp activity over parietal and right frontal regions. This activity is thought to originate in the medial temporal lobes and the underlying right frontal cortex respectively. The aforementioned findings have been derived mainly from studies using verbal stimuli. It is uncertain whether the same neural regions are involved in object recollection. It is also uncertain whether sustained modal and transient item-related activity involve the same or different right frontal regions. In this study, steady-state probe topography (SSPT) was used to investigate both sustained and transient processes involved in the retrieval of abstract pictorial objects from memory. The ability to vary the evaluation period of the steady-state visually evoked potential (SSVEP) allows investigation of cognitive processes occurring over different time scales. Neural regions involved in sustained modal processes were identified by examining the SSVEP values averaged over the duration of a memory retrieval task. Sustained SSVEP effects were observed over right fronto-temporal regions. Neural regions involved in transient retrieval success processes were identified by comparing the transient SSVEP responses to tasks with different memory loads. Comparison of a higher with a lower memory load condition showed SSVEP effects over parieto-temporal and right inferior frontal regions. Larger differences between memory loads gave effects that were larger and more right lateralized. Retrieval mode and retrieval success processes showed SSVEP effects over different right frontal regions. It was also found that, in contrast to the left lateralized parietal ERP response to recollected verbal stimuli, the SSVEP effects produced with abstract pictorial shapes showed a more bilateral pattern. This was considered to reflect the relatively non-verbalizable pictorial nature of the stimuli.
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Carandang, Alfonso B., and n/a. "Recognition of phonemes using shapes of speech waveforms in WAL." University of Canberra. Information Sciences & Engineering, 1994. http://erl.canberra.edu.au./public/adt-AUC20060626.144432.

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Generating a phonetic transcription of the speech waveform is one method which can be applied to continuous speech recognition. Current methods of labelling a speech wave involve the use of techniques based on spectrographic analysis. This paper presents a computationally simple method by which some phonemes can be identified primarily by their shapes. Three shapes which are regularly manifested by three phonemes were examined in utterances made by a number of speakers. Features were then devised to recognise their patterns using finite state automata combined with a checking mechanism. These were implemented in the Wave Analysis Language (WAL) system developed at the University of Canberra and the results showed that the phonemes can be recognised with high accuracy. The resulting shape features have also demonstrated a degree of speaker independence and context dependency.
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Books on the topic "Public recognition"

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Thoburn, Ann. Discussion paper on staff recognition. s.n., 1988.

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Cultural Politics and Identity: The Public Space of Recognition. LIT, 2011.

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Montana State Library Commission. Voluntary Certification Task Force. Manual for voluntary certification program for public librarians and Montana public library recognition program. The Commission, 1991.

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Force, Montana State Library Commission Voluntary Certification Task. Manual for voluntary certification program for public librarians and Montana public library recognition program. The Commission, 1995.

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Recognition and the media. Palgrave Macmillan, 2014.

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Hugh-Jones, Martin E. Zoonoses: Recognition, control, and prevention. Iowa State University Press, 1995.

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Digoix, Marie. Same-Sex Families and Legal Recognition in Europe. Springer Nature, 2020.

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Graubart, Levin Michael, ed. Where's my fifteen minutes?: Get your company, your cause or yourself the recognition you deserve. Portfolio, 2008.

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Cohen, Renae. The Palestinian autonomy agreement and Israel-PLO recognition: A survey of American Jewish opinion. The American Jewish Committee, 1994.

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Burns, Tony. Global justice and the politics of recognition. Palgrave Macmillan, 2013.

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Book chapters on the topic "Public recognition"

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Huang, Yingkun, Shaoshu Huang, Changdong Wang, Dekai Kang, and Wenkai Huang. "Research on the Intelligent Public Transportation System." In Biometric Recognition. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25417-3_80.

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Rogers, George Oliver. "Public Recognition of Hazard." In Uncertainty in Risk Assessment, Risk Management, and Decision Making. Springer US, 1987. http://dx.doi.org/10.1007/978-1-4684-5317-1_8.

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Li, Li, Shengguang Li, Shiwei Zhao, and Lin Tan. "Research on Security of Public Security Iris Application." In Biometric Recognition. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97909-0_49.

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Wang, Guan, Yu Sun, Ke Geng, Shengguang Li, and Wenjing Chen. "Deep Embedding for Face Recognition in Public Video Surveillance." In Biometric Recognition. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69923-3_4.

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Palmier, Leslie H. "The Public Recognition of Status." In Social Status and Power in Java. Routledge, 2021. http://dx.doi.org/10.4324/9781003136323-14.

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Langman, Lauren. "The Recognition of No-Body." In Political Philosophy and Public Purpose. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91980-5_4.

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Eisenberg, Avigail. "The Public Assessment of Indigenous Identity." In The Plural States of Recognition. Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230285569_11.

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Krupička, Josef. "Revenue Recognition in the Public Hospitals." In The Impact of Globalization on International Finance and Accounting. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68762-9_41.

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Shukla, Pushkar, Tanu Gupta, Priyanka Singh, and Balasubramanian Raman. "CARTOONNET: Caricature Recognition of Public Figures." In Proceedings of 3rd International Conference on Computer Vision and Image Processing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9088-4_1.

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Berendzen, J. C. "Reciprocity and Self-Restriction in Elementary Recognition." In Political Philosophy and Public Purpose. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91980-5_2.

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Conference papers on the topic "Public recognition"

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Garris, Michael D., James L. Blue, Gerald T. Candela, et al. "Public domain optical character recognition." In IS&T/SPIE's Symposium on Electronic Imaging: Science & Technology, edited by Luc M. Vincent and Henry S. Baird. SPIE, 1995. http://dx.doi.org/10.1117/12.205810.

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Huang, Fuli, Wanhui Wen, and Guangyuan Liu. "Facial Expression Recognition of Public Speaking Anxiety." In 2016 9th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2016. http://dx.doi.org/10.1109/iscid.2016.1061.

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Liang, Shuang, Xiaojiang Du, and Ping Dong. "Public scene recognition using mobile phone sensors." In 2016 International Conference on Computing, Networking and Communications (ICNC). IEEE, 2016. http://dx.doi.org/10.1109/iccnc.2016.7440683.

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Broetto, Raphael Santos, Flavio Miguel Varejao, Jose Goncalves Pereira Filho, and Andre Bernadi Candeia. "Automated image recognition of public lighting luminaries." In 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS). IEEE, 2013. http://dx.doi.org/10.1109/icecs.2013.6815500.

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"Detecting Critical Situation in Public Transport." In 8th International Workshop on Pattern Recognition in Information Systems. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001739600570066.

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Li, Shuo. "Research on Universality Recognition of Public Information Design." In Proceedings of the 3rd International Conference on Art Studies: Science, Experience, Education (ICASSEE 2019). Atlantis Press, 2019. http://dx.doi.org/10.2991/icassee-19.2019.54.

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Wang, Fei, Peiyu Liu, and Zhenfang Zhu. "Hadoop-based analysis model of network public opinion and its implementation." In Third International Workshop on Pattern Recognition, edited by Xudong Jiang, Guojian Chen, and Zhenxiang Chen. SPIE, 2018. http://dx.doi.org/10.1117/12.2502133.

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8

Mattos, Andréa Britto, Ricardo Herrmann, Carlos Cardonha, Diego Gallo, Priscilla Avegliano, and Sergio Borger. "Marker-assisted recognition of dynamic content in public spaces." In the 11th Web for All Conference. ACM Press, 2014. http://dx.doi.org/10.1145/2596695.2596722.

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Bogdanchikov, Andrey, Darmen Kariboz, and Meraryslan Meraliyev. "Face Extraction and Recognition from Public Images Using HIPI." In 2018 14th International Conference on Electronics Computer and Computation (ICECCO). IEEE, 2018. http://dx.doi.org/10.1109/icecco.2018.8634718.

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Baumann, Paul. "User context recognition for navigation systems in public transportation." In 2012 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE, 2012. http://dx.doi.org/10.1109/percomw.2012.6197570.

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Reports on the topic "Public recognition"

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Ichniowski, Casey. Public Sector Recognition Strikes: Illegal and Ill-Fated. National Bureau of Economic Research, 1986. http://dx.doi.org/10.3386/w1808.

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Dalglish, Chris, and Sarah Tarlow, eds. Modern Scotland: Archaeology, the Modern past and the Modern present. Society of Antiquaries of Scotland, 2012. http://dx.doi.org/10.9750/scarf.09.2012.163.

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The main recommendations of the panel report can be summarised under five key headings:  HUMANITY The Panel recommends recognition that research in this field should be geared towards the development of critical understandings of self and society in the modern world. Archaeological research into the modern past should be ambitious in seeking to contribute to understanding of the major social, economic and environmental developments through which the modern world came into being. Modern-world archaeology can add significantly to knowledge of Scotland’s historical relationships with the rest of the British Isles, Europe and the wider world. Archaeology offers a new perspective on what it has meant to be a modern person and a member of modern society, inhabiting a modern world.  MATERIALITY The Panel recommends approaches to research which focus on the materiality of the recent past (i.e. the character of relationships between people and their material world). Archaeology’s contribution to understandings of the modern world lies in its ability to situate, humanise and contextualise broader historical developments. Archaeological research can provide new insights into the modern past by investigating historical trends not as abstract phenomena but as changes to real lives, affecting different localities in different ways. Archaeology can take a long-term perspective on major modern developments, researching their ‘prehistory’ (which often extends back into the Middle Ages) and their material legacy in the present. Archaeology can humanise and contextualise long-term processes and global connections by working outwards from individual life stories, developing biographies of individual artefacts and buildings and evidencing the reciprocity of people, things, places and landscapes. The modern person and modern social relationships were formed in and through material environments and, to understand modern humanity, it is crucial that we understand humanity’s material relationships in the modern world.  PERSPECTIVE The Panel recommends the development, realisation and promotion of work which takes a critical perspective on the present from a deeper understanding of the recent past. Research into the modern past provides a critical perspective on the present, uncovering the origins of our current ways of life and of relating to each other and to the world around us. It is important that this relevance is acknowledged, understood, developed and mobilised to connect past, present and future. The material approach of archaeology can enhance understanding, challenge assumptions and develop new and alternative histories. Modern Scotland: Archaeology, the Modern past and the Modern present vi Archaeology can evidence varied experience of social, environmental and economic change in the past. It can consider questions of local distinctiveness and global homogeneity in complex and nuanced ways. It can reveal the hidden histories of those whose ways of life diverged from the historical mainstream. Archaeology can challenge simplistic, essentialist understandings of the recent Scottish past, providing insights into the historical character and interaction of Scottish, British and other identities and ideologies.  COLLABORATION The Panel recommends the development of integrated and collaborative research practices. Perhaps above all other periods of the past, the modern past is a field of enquiry where there is great potential benefit in collaboration between different specialist sectors within archaeology, between different disciplines, between Scottish-based researchers and researchers elsewhere in the world and between professionals and the public. The Panel advocates the development of new ways of working involving integrated and collaborative investigation of the modern past. Extending beyond previous modes of inter-disciplinary practice, these new approaches should involve active engagement between different interests developing collaborative responses to common questions and problems.  REFLECTION The Panel recommends that a reflexive approach is taken to the archaeology of the modern past, requiring research into the nature of academic, professional and public engagements with the modern past and the development of new reflexive modes of practice. Archaeology investigates the past but it does so from its position in the present. Research should develop a greater understanding of modern-period archaeology as a scholarly pursuit and social practice in the present. Research should provide insights into the ways in which the modern past is presented and represented in particular contexts. Work is required to better evidence popular understandings of and engagements with the modern past and to understand the politics of the recent past, particularly its material aspect. Research should seek to advance knowledge and understanding of the moral and ethical viewpoints held by professionals and members of the public in relation to the archaeology of the recent past. There is a need to critically review public engagement practices in modern-world archaeology and develop new modes of public-professional collaboration and to generate practices through which archaeology can make positive interventions in the world. And there is a need to embed processes of ethical reflection and beneficial action into archaeological practice relating to the modern past.
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Saville, Alan, and Caroline Wickham-Jones, eds. Palaeolithic and Mesolithic Scotland : Scottish Archaeological Research Framework Panel Report. Society for Antiquaries of Scotland, 2012. http://dx.doi.org/10.9750/scarf.06.2012.163.

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Why research Palaeolithic and Mesolithic Scotland? Palaeolithic and Mesolithic archaeology sheds light on the first colonisation and subsequent early inhabitation of Scotland. It is a growing and exciting field where increasing Scottish evidence has been given wider significance in the context of European prehistory. It extends over a long period, which saw great changes, including substantial environmental transformations, and the impact of, and societal response to, climate change. The period as a whole provides the foundation for the human occupation of Scotland and is crucial for understanding prehistoric society, both for Scotland and across North-West Europe. Within the Palaeolithic and Mesolithic periods there are considerable opportunities for pioneering research. Individual projects can still have a substantial impact and there remain opportunities for pioneering discoveries including cemeteries, domestic and other structures, stratified sites, and for exploring the huge evidential potential of water-logged and underwater sites. Palaeolithic and Mesolithic archaeology also stimulates and draws upon exciting multi-disciplinary collaborations. Panel Task and Remit The panel remit was to review critically the current state of knowledge and consider promising areas of future research into the earliest prehistory of Scotland. This was undertaken with a view to improved understanding of all aspects of the colonization and inhabitation of the country by peoples practising a wholly hunter-fisher-gatherer way of life prior to the advent of farming. In so doing, it was recognised as particularly important that both environmental data (including vegetation, fauna, sea level, and landscape work) and cultural change during this period be evaluated. The resultant report, outlines the different areas of research in which archaeologists interested in early prehistory work, and highlights the research topics to which they aspire. The report is structured by theme: history of investigation; reconstruction of the environment; the nature of the archaeological record; methodologies for recreating the past; and finally, the lifestyles of past people – the latter representing both a statement of current knowledge and the ultimate aim for archaeologists; the goal of all the former sections. The document is reinforced by material on-line which provides further detail and resources. The Palaeolithic and Mesolithic panel report of ScARF is intended as a resource to be utilised, built upon, and kept updated, hopefully by those it has helped inspire and inform as well as those who follow in their footsteps. Future Research The main recommendations of the panel report can be summarized under four key headings:  Visibility: Due to the considerable length of time over which sites were formed, and the predominant mobility of the population, early prehistoric remains are to be found right across the landscape, although they often survive as ephemeral traces and in low densities. Therefore, all archaeological work should take into account the expectation of Palaeolithic and Mesolithic ScARF Panel Report iv encountering early prehistoric remains. This applies equally to both commercial and research archaeology, and to amateur activity which often makes the initial discovery. This should not be seen as an obstacle, but as a benefit, and not finding such remains should be cause for question. There is no doubt that important evidence of these periods remains unrecognised in private, public, and commercial collections and there is a strong need for backlog evaluation, proper curation and analysis. The inadequate representation of Palaeolithic and Mesolithic information in existing national and local databases must be addressed.  Collaboration: Multi-disciplinary, collaborative, and cross- sector approaches must be encouraged – site prospection, prediction, recognition, and contextualisation are key areas to this end. Reconstructing past environments and their chronological frameworks, and exploring submerged and buried landscapes offer existing examples of fruitful, cross-disciplinary work. Palaeolithic and Mesolithic archaeology has an important place within Quaternary science and the potential for deeply buried remains means that geoarchaeology should have a prominent role.  Innovation: Research-led projects are currently making a substantial impact across all aspects of Palaeolithic and Mesolithic archaeology; a funding policy that acknowledges risk and promotes the innovation that these periods demand should be encouraged. The exploration of lesser known areas, work on different types of site, new approaches to artefacts, and the application of novel methodologies should all be promoted when engaging with the challenges of early prehistory.  Tackling the ‘big questions’: Archaeologists should engage with the big questions of earliest prehistory in Scotland, including the colonisation of new land, how lifestyles in past societies were organized, the effects of and the responses to environmental change, and the transitions to new modes of life. This should be done through a holistic view of the available data, encompassing all the complexities of interpretation and developing competing and testable models. Scottish data can be used to address many of the currently topical research topics in archaeology, and will provide a springboard to a better understanding of early prehistoric life in Scotland and beyond.
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