Efficiency of distinct data mining algorithms for classifying stress level in piglets from their vocalization

Among the challenges of pig farming in today's competitive market, there is factor of the product traceability that ensures, among many points, animal welfare. Vocalization is a valuable tool to identify situations of stress in pigs, and it can be used in welfare records for traceability. The objective of this work was to identify stress in piglets using vocalization, calling this stress on three levels: no stress, moderate stress, and acute stress. An experiment was conducted on a commercial farm in the municipality of Holambra, São Paulo State , where vocalizations of twenty piglets were recorded during the castration procedure, and separated into two groups: without anesthesia and local anesthesia with lidocaine base. For the recording of acoustic signals, a unidirectional microphone was connected to a digital recorder, in which signals were digitized at a frequency of 44,100 Hz. For evaluation of sound signals, Praat® software was used, and different data mining algorithms were applied using Weka® software. The selection of attributes improved model accuracy, and the best attribute selection was used by applying Wrapper method, while the best classification algorithms were the k-NN and Naive Bayes. According to the results, it was possible to classify the level of stress in pigs through their vocalization.

Vocalization of broilers can be used to identify their sex and genetic strain

In order to reach higher broiler performance, farmers target losses reduction. One way to make this possible is by rearing sexed broilers as male and female present diverse performance due to their physiological differences. Birds from different genetic strain also have a distinct performance at the same age. Considering that sexed flocks may present higher performance this study aimed to identify one-day-old chicks’ sex throughout their vocalization. This research also investigated the possibility of identifying the genetic strain by their vocalization attributes. A total of 120 chicks, half of them were from Cobb® genetic strain and the other half from Ross® genetic strain. From each group, a total of 30 were males and 30 females, which were previously separated by sex using their secondary physiological characteristics at the hatchery. Vocalizations audio recording was done inside a semi-anechoic chamber using a unidirectional microphone connected to an audio input of a digital recorder. Vocalizations were recorded for two minutes. Acoustic characteristics of the sounds were analyzed being calculated the fundamental frequency Pitch, the sound intensity, the first formant, and second formant. Results indicated that the vocalizations of both sexes could be identified by the second formant, and the genetic strain was detected by both the second formant and the Pitch.

Power Consumption Measurement and Scenario Based Energy Model in Wearable Computing Applications

The power is still today an issue in wearable computing applications. The aim of the present paper is to raise awareness of the power consumption of wearable computing devices in specific scenarios to be able in the future to design energy efficient wireless sensors for context recognition in wearable computing applications. The approach is based on a hardware study. The objective of this paper is to analyze and compare the total power consumption of three representative wearable computing devices in realistic scenarios such as Display, Speaker, Camera and microphone, Transfer by Wi-Fi, Monitoring outdoor physical activity and Pedometer. A scenario based energy model is also developed. The Samsung Galaxy Nexus I9250 smartphone, the Vuzix M100 Smart Glasses and the SimValley Smartwatch AW-420.RX are the three devices representative of their form factors. The power consumption is measured using PowerTutor, an android energy profiler application with logging option and using unknown parameters so it is adjusted with the USB meter. The result shows that the screen size is the main parameter influencing the power consumption. The power consumption for an identical scenario varies depending on the wearable devices meaning that others components, parameters or processes might impact on the power consumption and further study is needed to explain these variations. This paper also shows that different inputs (touchscreen is more efficient than buttons controls) and outputs (speaker sensor is more efficient than display sensor) impact the energy consumption in different way. This paper gives recommendations to reduce the energy consumption in healthcare wearable computing application using the energy model.

The uses of the outline for cultural formulation of the DSM-IV : from case conceptualization to treatment plan

ARTICLE 1 : RÉSUMÉ Amputation traumatique: Une étude de cas laotien sur l’indignation et l’injustice. La culture est un contexte essentiel à considérer pour produire un diagnostic et un plan d’intervention psychiatrique. Une perspective culturelle met en relief le contexte social dans lequel les symptômes émergent, et comment ils sont interprétés et gérés par la personne atteinte. Des études ethnoculturelles sur les maladies nous suggèrent que la plupart des gens nous donnent des explications pour leurs symptômes qui ont un fondement culturel. Bien que ces explications contredisent la théorie biomédicale, elles soulagent la souffrance des patients et leur permettent de donner une signification à cette dernière. L’exploration des caractéristiques, contextes et antécédents des symptômes permet au patient de les communiquer au clinicien qui pourrait avoir une explication différente de sa maladie. Cette étude de cas permet de montrer comment le Guide pour Formulation Culturelle du DSM-IV (The DSM-IV Outline for Cultural Formulation) permet aux cliniciens de solliciter un récit du patient en lien avec son expérience de la maladie. Notre étude examine l’utilisation par un patient laotien de « l’indignation sociale » (« Khuâm khum khang ») comme le modèle explicatif culturel de son problème malgré le diagnostic de trouble de stress post-traumatique qui lui fut attribué après une amputation traumatique. L’explication culturelle de son problème a permis au patient d’exprimer la signification personnelle et collective à sa colère et sa frustration, émotions qu’il avait réprimées. Cet idiome culturel lui a permis d’exprimer sa détresse et de réfléchir sur le système de soins de santé et, plus précisément, le contexte dans lequel les symptômes et leurs origines sont racontés et évalués. Cette représentation laotienne a aussi permis aux cliniciens de comprendre des expériences et les explications du client, autrement difficiles à situer dans un contexte biomédical et psychiatrique Euro-américain. Cette étude démontre comment il est possible d’améliorer les interactions entre cliniciens et patients et dès lors la qualité des soins par la compréhension de la perspective du patient et l’utilisation d’une approche culturelle. Mots clés: Culture, signification, idiome culturel, modèle explicatif, Guide pour Formulation culturelle du DSM-IV, indignation sociale, interaction entre patient et intervenant. ARTICLE 2 : RÉSUMÉ Impact de l’utilisation du Guide pour la formulation culturelle du DSM-IV sur la dynamique de conférences multidisciplinaires en santé mentale. La croissance du pluralisme culturel en Amérique du nord a obligé la communauté oeuvrant en santé mentale d’adopter une sensibilité culturelle accrue dans l’exercice de leur métier. Les professionnels en santé mentale doivent prendre conscience du contexte historique et social non seulement de leur clientèle mais également de leur propre profession. Les renseignements exigés pour les soins professionnels proviennent d’ évaluations cliniques. Il faut examiner ces informations dans un cadre culturellement sensible pour pouvoir formuler une évaluation des cas qui permet aux cliniciens de poser un diagnostic juste et précis, et ce, à travers les frontières culturelles du patient aussi bien que celles du professionnel en santé mentale. Cette situation a suscité le développement du Guide pour la formulation culturelle dans la 4ième édition du Manuel diagnostique et statistique des troubles mentaux américain (Diagnostic and Statistical Manual of Mental Disorders (4th ed., DSM-IV) de l’Association psychiatrique américaine. Ce guide est un outil pour aider les cliniciens à obtenir des informations de nature culturelle auprès du client et de sa famille afin de guider la production des soins en santé mentale. L’étude vise l’analyse conversationnelle de la conférence multidisciplinaire comme contexte d’utilisation du Guide pour la formulation culturelle qui sert de cadre dans lequel les pratiques discursives des professionnels de la santé mentale évoluent. Utilisant la perspective théorique de l’interactionnisme symbolique, l’étude examine comment les diverses disciplines de la santé mentale interprètent et conceptualisent les éléments culturels et les implications de ce cadre pour la collaboration interdisciplinaire dans l’évaluation, l’élaboration de plans de traitement et des soins. Mots clé: Guide pour Formulation culturelle – Santé mentale – Psychiatrie transculturelle – Analyse conversationnelle – Interactionnisme symbolique

Enseignement des expressions figées métaphoriques françaises à des apprenants vietnamiens

Thèse numérisée par la Division de la gestion de documents et des archives de l'Université de Montréal

Impact of pesticides on indicator and pathogenic microorganism persistence under laboratory and field conditions

On s’intéresse aux impacts des pesticides sur la microflore des plantes surtout dans le contexte des légumes contaminés par des agents pathogènes. Le but de cette étude est d'évaluer l'impact de certains pesticides sur la persistance de micro-organismes indicateurs et pathogènes. En laboratoire, la persistance d’E. coli et de Salmonella en présence de quatre pesticides (Ripcord 400EC, Copper 53W, Bioprotec CAF, Serenade MAX) a été étudiée. Les plaques de Pétrifilm et le milieu sélectif XLD sont utilisés pour énumérer les populations d’E. coli et de Salmonella. Il a été démontré que le Serenade MAX favorisait la croissance microbienne, le Bioprotec CAF et le Ripcord 400EC soutenaient la survie microbienne et le Copper 53W inhibait la croissance, à la fois d’E. coli et de Salmonella. En conditions terrain, Ripcord 400EC, Copper 53W, Bioprotec CAF ont été étudiés sur une culture de brocoli irriguée avec de l'eau expérimentalement contaminée par E. coli. Dans tous les traitements, un impact de l’irrigation a été observé sur les populations de levures et de moisissures (diminution) et les bactéries aérobies totales (augmentation). Une prévalence supérieure d’E. coli a été observée dans les parcelles traitées avec le Bioprotec CAF comparativement aux traitements au Copper 53W, ce qui est en accord avec les résultats observés lors de l'essai en laboratoire. Cependant, l'analyse statistique n'a montré aucune différence significative entre les traitements appliqués. Les effets directs des pesticides sur les micro-organismes sont confirmés dans des conditions de laboratoire mais demeurent méconnus dans les conditions expérimentales au champ.

Recognition of Facial Expressions with Autoencoders and Convolutional-Nets

Les humains communiquent via différents types de canaux: les mots, la voix, les gestes du corps, des émotions, etc. Pour cette raison, un ordinateur doit percevoir ces divers canaux de communication pour pouvoir interagir intelligemment avec les humains, par exemple en faisant usage de microphones et de webcams. Dans cette thèse, nous nous intéressons à déterminer les émotions humaines à partir d’images ou de vidéo de visages afin d’ensuite utiliser ces informations dans différents domaines d’applications. Ce mémoire débute par une brève introduction à l'apprentissage machine en s’attardant aux modèles et algorithmes que nous avons utilisés tels que les perceptrons multicouches, réseaux de neurones à convolution et autoencodeurs. Elle présente ensuite les résultats de l'application de ces modèles sur plusieurs ensembles de données d'expressions et émotions faciales. Nous nous concentrons sur l'étude des différents types d’autoencodeurs (autoencodeur débruitant, autoencodeur contractant, etc) afin de révéler certaines de leurs limitations, comme la possibilité d'obtenir de la coadaptation entre les filtres ou encore d’obtenir une courbe spectrale trop lisse, et étudions de nouvelles idées pour répondre à ces problèmes. Nous proposons également une nouvelle approche pour surmonter une limite des autoencodeurs traditionnellement entrainés de façon purement non-supervisée, c'est-à-dire sans utiliser aucune connaissance de la tâche que nous voulons finalement résoudre (comme la prévision des étiquettes de classe) en développant un nouveau critère d'apprentissage semi-supervisé qui exploite un faible nombre de données étiquetées en combinaison avec une grande quantité de données non-étiquetées afin d'apprendre une représentation adaptée à la tâche de classification, et d'obtenir une meilleure performance de classification. Finalement, nous décrivons le fonctionnement général de notre système de détection d'émotions et proposons de nouvelles idées pouvant mener à de futurs travaux.

Étude et caractérisation de détecteurs à liquide en surchauffe

Les preuves astronomiques stipulent qu'environ 4\% de la densité de masse-énergie de l'univers serait composé d'atomes. Le reste est séparé entre la matière sombre, qui représente 24\% de la densité de masse-énergie, et l'énergie sombre, qui s'accapare les 71\% restant. Le neutralino est une particule prédite par la théorie de la supersymétrie et est un candidat à la composition de la matière sombre. Le Projet d'Identification des Candidats Supersymétriques Sombres (PICASSO) vise à détecter le neutralino en utilisant des détecteurs à gouttelettes de C$_4$F$_{10}$ en surchauffe. Lors du passage d'une particule dans les gouttelettes de C$_4$F$_{10}$, une transition de phase aura lieu si l'énergie déposée est au-delà du seuil prédit par le critère de nucléation d'une transition de phase (théorie de Seitz). L'onde acoustique émise durant la transition de phase est ensuite transformée en impulsion électrique par des capteurs piézoélectriques placés sur le pourtour du détecteur. Le signal est amplifié, numérisé puis enregistré afin de pouvoir être analysé par des outils numériques. L'ouvrage qui suit présente les travaux effectués sur la compréhension des signaux des détecteurs à gouttelettes en surchauffe dans le but d'améliorer la discrimination du bruit de fond. Un détecteur à petites gouttelettes, r $\approx 15\mu m$ a été étudié et comparé à une simulation Monte Carlo. Il s'est avéré que les possibilités de discrimination du bruit de fond provenant des particules alpha étaient réduites pour un détecteur à petites gouttelettes, et ce en accord avec le modèle théorique. Différentes composantes du système d'acquisition ont été testées dont le couplage entre le capteur piézoélectrique et la paroi en acrylique, l'efficacité des capteurs piézoélectriques à gain intégré et les conséquences de la force du gain sur la qualité du signal. Une comparaison avec des résultats de l'expérience SIMPLE (Superheated Instrument for Massive ParticLe Experiments) a été effectuée en mesurant des signaux de détecteurs PICASSO à l'aide d'un microphone électrostatique à électret. Il a été conclu que les détecteurs PICASSO ne parviennent pas à reproduire la discrimination quasi parfaite présentée par SIMPLE.

Characterization of Selected Photonic Materials and Systems Using Photoacoustic Technique

The photoacoustic investigations carried out on different photonic materials are presented in this thesis. Photonic materials selected for the investigation are tape cast ceramics, muItilayer dielectric coatings, organic dye doped PVA films and PMMA matrix doped with dye mixtures. The studies are performed by the measurement of photoacoustic signal generated as a result of modulated cw laser irradiation of samples. The gas-microphone scheme is employed for the detection of photoacoustic signal. The different measurements reported here reveal the adaptability and utility of the PA technique for the characterization of photonic materials.Ceramics find applications in the field of microelectronics industry. Tape cast ceramics are the building blocks of many electronic components and certain ceramic tapes are used as thermal barriers. The thermal parameters of these tapes will not be the same as that of thin films of the same materials. Parameters are influenced by the presence of foreign bodies in the matrix and the sample preparation technique. Measurements are done on ceramic tapes of Zirconia, Zirconia-Alumina combination, barium titanate, barium tin titanate, silicon carbide, lead zirconate titanateil'Z'T) and lead magnesium niobate titanate(PMNPT). Various configurations viz. heat reflection geometry and heat transmission geometry of the photoacoustic technique have been used for the evaluation of different thermal parameters of the sample. Heat reflection geometry of the PA cell has been used for the evaluation of thermal effusivity and heat transmission geometry has been made use of in the evaluation of thermal diffusivity. From the thermal diffusivity and thermal effusivity values, thermal conductivity is also calculated. The calculated values are nearly the same as the values reported for pure materials. This shows the feasibility of photoacoustic technique for the thermal characterization of ceramic tapes.Organic dyes find applications as holographic recording medium and as active media for laser operations. Knowledge of the photochemical stability of the material is essential if it has to be used tor any of these applications. Mixing one dye with another can change the properties of the resulting system. Through careful mixing of the dyes in appropriate proportions and incorporating them in polymer matrices, media of required stability can be prepared. Investigations are carried out on Rhodamine 6GRhodamine B mixture doped PMMA samples. Addition of RhB in small amounts is found to stabilize Rh6G against photodegradation and addition of Rh6G into RhB increases the photosensitivity of the latter. The PA technique has been successfully employed for the monitoring of dye mixture doped PMMA sample. The same technique has been used for the monitoring of photodegradation ofa laser dye, cresyl violet doped polyvinyl alcohol also.Another important application of photoacoustic technique is in nondestructive evaluation of layered samples. Depth profiling capability of PA technique has been used for the non-destructive testing of multilayer dielectric films, which are highly reflecting in the wavelength range selected for investigations. Eventhough calculation of thickness of the film is not possible, number of layers present in the system can be found out using PA technique. The phase plot has clear step like discontinuities, the number of which coincides with the number of layers present in the multilayer stack. This shows the sensitivity of PA signal phase to boundaries in a layered structure. This aspect of PA signal can be utilized in non-destructive depth profiling of reflecting samples and for the identification of defects in layered structures.

Photothermal and photoacoustic investigations on certain polymers and semi conducting materials

Material synthesizing and characterization has been one of the major areas of scientific research for the past few decades. Various techniques have been suggested for the preparation and characterization of thin films and bulk samples according to the industrial and scientific applications. Material characterization implies the determination of the electrical, magnetic, optical or thermal properties of the material under study. Though it is possible to study all these properties of a material, we concentrate on the thermal and optical properties of certain polymers. The thermal properties are detennined using photothermal beam deflection technique and the optical properties are obtained from various spectroscopic analyses. In addition, thermal properties of a class of semiconducting compounds, copper delafossites, arc determined by photoacoustic technique.Photothermal technique is one of the most powerful tools for non-destructive characterization of materials. This forms a broad class of technique, which includes laser calorimetry, pyroelectric technique, photoacollstics, photothermal radiometric technique, photothermal beam deflection technique etc. However, the choice of a suitable technique depends upon the nature of sample and its environment, purpose of measurement, nature of light source used etc. The polynler samples under the present investigation are thermally thin and optically transparent at the excitation (pump beam) wavelength. Photothermal beam deflection technique is advantageous in that it can be used for the detennination of thermal diffusivity of samples irrespective of them being thermally thick or thennally thin and optically opaque or optically transparent. Hence of all the abovementioned techniques, photothemlal beam deflection technique is employed for the successful determination of thermal diffusivity of these polymer samples. However, the semi conducting samples studied are themlally thick and optically opaque and therefore, a much simpler photoacoustic technique is used for the thermal characterization.The production of polymer thin film samples has gained considerable attention for the past few years. Different techniques like plasma polymerization, electron bombardment, ultra violet irradiation and thermal evaporation can be used for the preparation of polymer thin films from their respective monomers. Among these, plasma polymerization or glow discharge polymerization has been widely lIsed for polymer thin fi Im preparation. At the earlier stages of the discovery, the plasma polymerization technique was not treated as a standard method for preparation of polymers. This method gained importance only when they were used to make special coatings on metals and began to be recognized as a technique for synthesizing polymers. Thc well-recognized concept of conventional polymerization is based on molecular processcs by which thc size of the molecule increases and rearrangemcnt of atoms within a molecule seldom occurs. However, polymer formation in plasma is recognized as an atomic process in contrast to the above molecular process. These films are pinhole free, highly branched and cross linked, heat resistant, exceptionally dielectric etc. The optical properties like the direct and indirect bandgaps, refractive indices etc of certain plasma polymerized thin films prepared are determined from the UV -VIS-NIR absorption and transmission spectra. The possible linkage in the formation of the polymers is suggested by comparing the FTIR spectra of the monomer and the polymer. The thermal diffusivity has been measured using the photothermal beam deflection technique as stated earlier. This technique measures the refractive index gradient established in the sample surface and in the adjacent coupling medium, by passing another optical beam (probe beam) through this region and hence the name probe beam deflection. The deflection is detected using a position sensitive detector and its output is fed to a lock-in-amplifIer from which the amplitude and phase of the deflection can be directly obtained. The amplitude and phase of the deflection signal is suitably analyzed for determining the thermal diffusivity.Another class of compounds under the present investigation is copper delafossites. These samples in the form of pellets are thermally thick and optically opaque. Thermal diffusivity of such semiconductors is investigated using the photoacoustic technique, which measures the pressure change using an elcctret microphone. The output of the microphone is fed to a lock-in-amplificr to obtain the amplitude and phase from which the thermal properties are obtained. The variation in thermal diffusivity with composition is studied.

Photoacoustic studies on multilayer dielectric coatings

Non-destructive testing d multilayer dielectric coatings (SiO2/TiO2 structure) has been carried out using the photoacoustic technique. This technique makes use d a 10 mW He-Ne laser, a photoacoustic cell and a lock-in amplifier. The chopped He-Ne laser beam is allowed to fall on the sample placed in a photoacoustic cell. The acoustic signals thus generated are detected using a microphone and the resulting output is processed by a lock-in amplifier. The amplitude and phase of the signals were measured as a function of the chopping frequency. Striking step-like variations are observed in me phase against frequency plot which dearly reveals the different layers present in the multilayer structure.

Thermal characterisation of doped InP using photoacoustic technique

An open cell photoacoustic configuration has been employed to evaluate the thermal diffusivity of pure InP as well as InP doped with sulphur and iron. Chopped optical radiation at 488 nm from an Ar-ion laser has been used to excite photoacoustic signals which been detected by a sensitive electret microphone. Thermal diffusivity value have been calculated from phase versus chopping frequency plots. Doped sample are found to show a reduced value for thermal diffusivity in comparison with intrinsically pure sample. The results have been interpreted in terms of the mechanisms of heat generation and transmission in semiconductors.

Permutation entropy based real-time chatter detection using audio signal in turning process

Machine tool chatter is an unfavorable phenomenon during metal cutting, which results in heavy vibration of cutting tool. With increase in depth of cut, the cutting regime changes from chatter-free cutting to one with chatter. In this paper, we propose the use of permutation entropy (PE), a conceptually simple and computationally fast measurement to detect the onset of chatter from the time series using sound signal recorded with a unidirectional microphone. PE can efficiently distinguish the regular and complex nature of any signal and extract information about the dynamics of the process by indicating sudden change in its value. Under situations where the data sets are huge and there is no time for preprocessing and fine-tuning, PE can effectively detect dynamical changes of the system. This makes PE an ideal choice for online detection of chatter, which is not possible with other conventional nonlinear methods. In the present study, the variation of PE under two cutting conditions is analyzed. Abrupt variation in the value of PE with increase in depth of cut indicates the onset of chatter vibrations. The results are verified using frequency spectra of the signals and the nonlinear measure, normalized coarse-grained information rate (NCIR).

Speech Analysis using Modern Techniques of Nonlinear Dynamics

Medical fields requires fast, simple and noninvasive methods of diagnostic techniques. Several methods are available and possible because of the growth of technology that provides the necessary means of collecting and processing signals. The present thesis details the work done in the field of voice signals. New methods of analysis have been developed to understand the complexity of voice signals, such as nonlinear dynamics aiming at the exploration of voice signals dynamic nature. The purpose of this thesis is to characterize complexities of pathological voice from healthy signals and to differentiate stuttering signals from healthy signals. Efficiency of various acoustic as well as non linear time series methods are analysed. Three groups of samples are used, one from healthy individuals, subjects with vocal pathologies and stuttering subjects. Individual vowels/ and a continuous speech data for the utterance of the sentence "iruvarum changatimaranu" the meaning in English is "Both are good friends" from Malayalam language are recorded using a microphone . The recorded audio are converted to digital signals and are subjected to analysis.Acoustic perturbation methods like fundamental frequency (FO), jitter, shimmer, Zero Crossing Rate(ZCR) were carried out and non linear measures like maximum lyapunov exponent(Lamda max), correlation dimension (D2), Kolmogorov exponent(K2), and a new measure of entropy viz., Permutation entropy (PE) are evaluated for all three groups of the subjects. Permutation Entropy is a nonlinear complexity measure which can efficiently distinguish regular and complex nature of any signal and extract information about the change in dynamics of the process by indicating sudden change in its value. The results shows that nonlinear dynamical methods seem to be a suitable technique for voice signal analysis, due to the chaotic component of the human voice. Permutation entropy is well suited due to its sensitivity to uncertainties, since the pathologies are characterized by an increase in the signal complexity and unpredictability. Pathological groups have higher entropy values compared to the normal group. The stuttering signals have lower entropy values compared to the normal signals.PE is effective in charaterising the level of improvement after two weeks of speech therapy in the case of stuttering subjects. PE is also effective in characterizing the dynamical difference between healthy and pathological subjects. This suggests that PE can improve and complement the recent voice analysis methods available for clinicians. The work establishes the application of the simple, inexpensive and fast algorithm of PE for diagnosis in vocal disorders and stuttering subjects.

Permutation Entropy Based Analysis of Complex Signals for Characterising Change in System Dynamics

Timely detection of sudden change in dynamics that adversely affect the performance of systems and quality of products has great scientific relevance. This work focuses on effective detection of dynamical changes of real time signals from mechanical as well as biological systems using a fast and robust technique of permutation entropy (PE). The results are used in detecting chatter onset in machine turning and identifying vocal disorders from speech signal.Permutation Entropy is a nonlinear complexity measure which can efficiently distinguish regular and complex nature of any signal and extract information about the change in dynamics of the process by indicating sudden change in its value. Here we propose the use of permutation entropy (PE), to detect the dynamical changes in two non linear processes, turning under mechanical system and speech under biological system.Effectiveness of PE in detecting the change in dynamics in turning process from the time series generated with samples of audio and current signals is studied. Experiments are carried out on a lathe machine for sudden increase in depth of cut and continuous increase in depth of cut on mild steel work pieces keeping the speed and feed rate constant. The results are applied to detect chatter onset in machining. These results are verified using frequency spectra of the signals and the non linear measure, normalized coarse-grained information rate (NCIR).PE analysis is carried out to investigate the variation in surface texture caused by chatter on the machined work piece. Statistical parameter from the optical grey level intensity histogram of laser speckle pattern recorded using a charge coupled device (CCD) camera is used to generate the time series required for PE analysis. Standard optical roughness parameter is used to confirm the results.Application of PE in identifying the vocal disorders is studied from speech signal recorded using microphone. Here analysis is carried out using speech signals of subjects with different pathological conditions and normal subjects, and the results are used for identifying vocal disorders. Standard linear technique of FFT is used to substantiate thc results.The results of PE analysis in all three cases clearly indicate that this complexity measure is sensitive to change in regularity of a signal and hence can suitably be used for detection of dynamical changes in real world systems. This work establishes the application of the simple, inexpensive and fast algorithm of PE for the benefit of advanced manufacturing process as well as clinical diagnosis in vocal disorders.