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Sentencing Framework in the Administration of Criminal Justice in India :
This Thesis aims at having uniformity while sentencing the accused in respect of similar newlineoffences by various criminal courts. It is submitted that, in India, there is no separate sentencing Act which provides for the sentencing of the accused. It is submitted that the present thesis also recommends for the post sentencing/research process and administration of Criminal Justice through courts and supervisory power of the court over the executive after newlinethe conviction of the accused and during the pre-trial detention. Emphasis is also laid on newlineBails Act which is required to be legislated in the administration of Criminal Justice in India. The said Bails Act and Sentencing Act are very much in force in different common law countries such as New Zealand, UK, and USA. Similar legislations are the need of hour in the present day for administration of Criminal justice in India. The thesis also aims at highlighting the disparity of Sentencing by the different Criminal Courts in India. There are instances where length of detention itself is held to be sufficient, mitigating grounds are taken into consideration, and the accused is being given set-off for the period that he has already newlineundergone. The administration of post-sentencing process, more particularly probation is also being highlighted. The need for probation is also being highlighted, so also the requirement of plea bargaining being more popularised. The grant of parole by the executive in ignorance of conviction order is also critically analysed. Reforms are suggested for the better administration of criminal justice with special reference to sentencing. -
Sentence Classification Using Attention Model for E-Commerce Product Review
The importance of aspect extraction in text classification, particularly in the e-commerce sector. E-commerce platforms generate vast amounts of textual data, such as comments, product descriptions, and customer reviews, which contain valuable information about various aspects of products or services. Aspect extraction involves identifying and classifying individual traits or aspects mentioned in textual reviews to understand customer opinions, improve products, and enhance the customer experience. The role of product reviews in e-commerce is discussed, emphasizing their value in aiding customers' purchase decisions and guiding businesses in product stocking and marketing strategies. Reviews are essential for boosting sales potential, maintaining a good reputation, and promoting brand recognition. Customers extensively research product reviews from different sources before purchasing, making them vital user-generated content for e-commerce businesses. The current work provided an efficient and novel classification model for sentence classification using the ABNAM model. The automated text classification models available cannot categorize the data into sixteen distinct classes. The technologies applied for the mentioned work contain TF-IDF, N-gram, CNN, linear SVM, random forest, Nae bays, and ABNAM with significant results. The best-performing ML method for the successful classification of a given sentence into one of the sixteen categories is achieved with the proposed model named the based Neural Attention Model (ABNAM), which has the highest accuracy at 97%. The research acclaimed ABNAM as a novel classification model with the highest-class categorizations. 2024 Nagendra N and Chandra J. This open-access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
Sensory processing sensitivity in relation to coping strategies: exploring the mediating role of depression, anxiety and stress
Existing research on sensory processing sensitivity (SPS) focuses majorly on populations involving children, those with Autism Spectrum Disorder, and those belonging to the Western countries. This study aims to contribute in bridging this gap by exploring the mediating role of Depression, Anxiety, Stress on the relationship between SPS and coping strategies in the general population, while also assessing the prevalence of these variables. Data was collected from a convenience sample of 107 participants (mean age = 20.6years, 57.9% females). Participants responses were recorded for the Highly Sensitive Person Scale (HSPS), the Depression, Anxiety, Stress Scale (DASS-21), and the Coping Strategies Inventory-Short Form (CSI-SF). Correlational and mediation analyses of SPS, coping strategies and Depression, Anxiety and Stress were done. In the sample, 31.78% of individuals were found to be Highly Sensitive Persons (HSPs). The findings revealed significant relationships between SPS, Depression, Anxiety, Stress and coping strategies. Depression and Anxiety were observed to be significant mediators. While SPS as a trait may not be inherently modifiable, our results on its association with emotion-focused disengagement coping provide insight into target dysfunctional patterns for effective management of depression, stress, and anxiety. Further research is warranted to enhance the applicability of this study. The Author(s) 2024. -
Sensor based intelligent wearable helmet for early detection of stroke in patients /
Patent Number: 202141044803, Applicant: Dr.S.Balamurugan.
Every year nearly 50 million people suffer from stroke, within which 5 million people become permanently disabled. Early detection of stroke and right time of hospitalization of patients increases the chances of complete recovery. Proposed is a sensor based intelligent wearable helmet for early detection of stroke in patients. The proposed helmet allows real-time monitoring and simultaneous analysis of health parameter of patients, the affected parts of brain and cardio vascular system. -
Sensor based intelligent smart watch for early detection of heart attacks in patients suffering from cardiovascular diseases /
Patent Number: 202141045592, Applicant: Dr.S.Balamurugan.
Heart attack is one of the leading reasons for human deaths worldwide. When the blood supply to heart is suddenly blocked by a clot in coronary artery, heart attack occurs. This shortage of blood supply to the heart can cause serious damage to heart muscles and may sometime lead to death of the individual. However, early detection of symptoms of heart attack and providing necessary first aid could drastically reduce the mortality rate. Fatal heart attacks are quite common in people who are already suffering from cardiovascular diseases. This invention discloses a smart watch with multiple sensors that are capable to detect the possibility of cardiac arrest and inform the same to caretakers, doctors and ambulance vehicles in the nearby geographical location. -
Sensor based intelligent digital nose to detect spoilage of food using machine learning /
Patent Number: 202141042368, Applicant:Dr.S.Balamurugan.
Detecting the spoilage of food is a challenging ang important task to be carried out in food processing industry. The food contamination may cause variety of diseases to human mankind including- diarrhoea, dysentery, and sometime may even to death of the individual. Proposed is an intelligent electronic nose, which is capable of diagnosing the food decay based on the foul smell evolved from the food material. The digital nose is composed of an array of metallic-oxide sensors which are capable of detecting the odours from the foods stored roughly more than a week. The sensor arrays are capable of detecting the odours and classifying the same into categories- pungent, alcoholic, fishy, cheesy, fermented, musty and bitter. -
Sensitization of university students in supporting underprivileged children
Education is the fundamental right of every child and an essential element of human growth. Indian education is divided into two parts: private and government education. Underprivileged children, affected by socio-economic factors, predominantly choose government education. Government primary educational institutions have failed to cope with the requirements of the corporate world. On the other hand, the students studying in private higher educational institutions seldom think of the challenges that socio-economically underprivileged children face. Genesys is the forum that unites these socio-economically underprivileged children with students at Christ University. Teaching and training disadvantaged children are the social responsibilities of young people, especially those in higher education. Each student should teach at least one person to make it a win-win situation for both learner and trainer. It helps University students build social skills and provides them with the opportunity to become part of the nation-building process. The chapter employed the quantitative study method to analyze the students' perception of teaching underprivileged children and how demographic variables impact it. It also identified the factors influencing the student's academic performance and psychological well-being. The study found that the students gained different skills like interpersonal skills, adaptability, teaching skills, and happiness, and these skills positively impacted their academic performance and psychological wellbeing. The expected outcome of the program supported by the university is to develop a win-win model for both University students and schoolchildren from low-income groups in society 2024 Nova Science Publishers, Inc. -
Sensitivity computation of nonlinear convective heat transfer in hybrid nanomaterial between two concentric cylinders with irregular heat sources
Heat exchangers, hot rolling, heat storage systems, and nuclear power plants utilize hybrid nanoliquid flow through an annulus for heat transport. The linear Boussinesq approximation is no longer suitable as these devices work at both moderate and extremely high temperatures. Hence, the salient features of quadratic convection on the hybrid nanoliquid flow in an inclined porous annulus are analyzed. The heat transport phenomenon is examined with an exponential space-related heat source (ESHS), the convective boundary conditions, and temperature-related heat source (THS). The significance of various shapes of nanoparticles (blades, spherical, platelets, bricks, and cylinders) on the heat and fluid flow characteristics has been explored. The complicated governing equations are solved numerically. Additionally, a statistical study (response surface methodology (RSM) and sensitivity analysis) is performed. The consequence of key parameters on the non-dimensional velocity, skin friction coefficient, temperature, and Nusselt number fields are presented through two-dimensional and surface plots. The irregular heat sources increase the magnitude of velocity and temperature fields. The quadratic and mixed convection mechanism favors the flow structure. The temperature and velocity fields are greater for platelet-shaped nanoparticles followed by cylinder, brick, and spherical-shaped nanoparticles. Further, the Nusselt number is more influenced by THS and less by the total nanoparticle volume fraction 2021 Elsevier Ltd -
Sensitivity and tolerance analysis of 2D Profilometer for TMT primary mirror segments
The primary mirror (M1) of Thirty Meter Telescope (TMT) consists of 492 segments of which, 86 are ground and polished by India-TMT. These segments are off-Axis and aspheric in nature and one of the effective methods to polish such segments is through Stressed Mirror Polishing (SMP). During SMP, consistent in-situ metrology of the surface is needed to achieve the required profile. A 2D Profilometer (2DP) will be used by India-TMT for the low frequency profile metrology. The 2DP is a contact-Approach metrology, consisting of probes positioned in a spiral pattern, measuring the sag of segment surface. Initial section of this paper deals with the sensitivity and tolerance analysis of the 2DP. This is followed by the study on position and rotational errors of the 2DP as a whole. Simulation of these analysis is carried out initially on a sphere and then on different segments of the TMT, in order to study the induced measurement errors. COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. -
Sensitivity analysis of thermal optimisation within conical gap between the cone and the surface of disk with particle deposition
This work examines the thermal and flow characteristics of TiO2+AgBr+GO/EG trihybrid nanofluid in the conical gap that exists between a disc and a cone. Effect of thermophoresis and particle deposition are examined to perceive the mass dissipation change on the surface. The governing equations of the problem are in the form of partial differential equations which are converted to nonlinear ordinary differential equations by applying proper scaling similarity transformations, and then the resultant equations are approximated numerically by using RKF45 technique. The interesting part of this research is to discuss the impact of various pertinent parameters on three cases namely: (1) rotating cone/disk (2) rotating cone/stationary disk and (3) stationary cone/rotating disk. The flow field, heat and mass transfer rates were analysed using graphical representations. Additionally, sensitivity analysis is performed on derived rate of heat transfer as a response function for input factors for different parameters. From the graph, it is perceived that flow field increases significantly with increase in the values of Reynolds numbers for both cone and disk rotations. Also, it is seen that temperature upsurges significantly for ascendent values of solid volume fraction of nanoparticles. It is also noticed that the sensitivity of the Nusselt number towards n is more for all the values of source/sink and for middle level values of n. Akadiai KiadZrt 2024. -
Sensitivity analysis of radiative heat transfer in Casson and nano fluids under diffusion-thermo and heat absorption effects
The exact analysis of the magnetohydrodynamic flow of a Newtonian nanofluid past an inclined plate through a porous medium is carried out. The flows of a Newtonian nanofluid and a non-Newtonian Casson fluid are juxtaposed. The heat transport phenomenon is analyzed in the presence of Dufour and heat absorption effects. The Darcy model and Rosseland approximation are employed to simulate the effects of porous media and radiative heat. The exact solutions are obtained by using the Laplace transform method. The effects of different physical parameters on the velocity, temperature and concentration profiles are scrutinized using graphs. Statistical techniques, like the slope of data points, coefficient of correlation, probable error, and multiple linear regression, are employed to analyze the rate of heat transfer and skin friction coefficient. Further, the sensitivity of the skin friction coefficient and Nusselt number are analyzed using the Response Surface Methodology (RSM). The Nusselt number has a positive sensitivity towards thermal radiation, and it is negatively sensitive towards nanoparticle volume fraction and Dufour number. 2019, SocietItaliana di Fisica / Springer-Verlag GmbH Germany, part of Springer Nature. -
Sensitivity Analysis of Operational Parameters of a High Temperature-Proton Exchange Membrane Fuel Cell
The lack of widespread commercialization of High-Temperature Proton Exchange Membrane Fuel Cells (HT-PEMFC) is primarily due to their poor performance and durability. Various factors impact the performance of fuel cells, one such crucial factor being the operational parameters. Suitable operating conditions not only enhance the output cell performance but also extend a fuel cell's life. Current research on the impact of operational factors on HT-PEMFC performance is largely qualitative in nature, with no quantitative indication of affecting the sensitivity of these parameters. In the present work, a three-dimensional, non-isothermal HT-PEMFC model developed earlier is used to investigate the influential sensitivities of five crucial operating parameters, each with four different levels, and is analyzed quantitatively using six evaluation indexes. The orthogonal/Taguchi method L16(45) is implemented to investigate the impact of operating parameters quantitatively. Further, the effect of each operating parameter on evaluation indexes under different operational current density regimes is investigated. The findings show that, of the parameters chosen, the working temperature and cathode pressure are the most sensitive to cell voltage and cathode overpotential distribution under all operating current density regimes. The findings would provide more precise recommendations for experimental research targeted at improving cell performance by optimizing operational parameters. 2023 The Electrochemical Society ("ECS"). Published on behalf of ECS by IOP Publishing Limited.; Highlights Influential sensitivities of crucial operating parameters are investigated. The orthogonal method is employed to investigate the impact of operating parameters. Impact of operational parameters on uniformity of species distribution is examined. The sensitivity of each operating parameter on evaluation indexes is investigated. The varying trends of operating parameters under different current density regimes is studied. 2023 The Electrochemical Society ("ECS"). Published on behalf of ECS by IOP Publishing Limited. -
Sensitivity analysis of nonlinear radiated heat transport of hybrid nanoliquid in an annulus subjected to the nonlinear Boussinesq approximation
The main emphasis of the current study is to analyze the novel feature of the quadratic convective and nonlinear radiative flow of MHD hybrid nanoliquid (CuAl2O3H2O) in an annulus with sensitivity analysis. The significance of exponential space-related heat source, movement of annuli and a new radiation parameter corresponding to an asymptotic nature are also comprehended in the existing study. The dimensionless governing nonlinear equations are treated numerically by employing shooting technique. Impact of effective parameters on the flow and heat transport features has been scrutinized. The optimization procedure is implemented to analyze the influence of three effective parameters (1.5?Rf?5.5,1?QE?3and1%??Cu?3%) on skin friction and Nusselt number by utilizing response surface methodology and sensitivity analysis. The obtained results portray that the nonlinear convection parameter is more favorable for the skin friction coefficient. Further, a comparison of sensitivity depicts that the skin friction coefficient is more sensitive to Rf and QE, whereas Nusselt number is more sensitive to ?Cu. 2020, Akadiai Kiad Budapest, Hungary. -
Sensitivity analysis of Marangoni convection in TiO2EG nanoliquid with nanoparticle aggregation and temperature-dependent surface tension
The sensitivity analysis of the magnetohydrodynamic thermal Marangoni convection of ethylene glycol (EG)-based titania (TiO2) nanoliquid is carried out by considering the effect of nanoparticle aggregation. The rate of heat transfer is explored by utilizing response surface methodology and estimating the sensitivity of the heat transfer rate toward the effective parameters: radiation parameter (1 ? R ? 3), magnetic parameter (1 ? M ? 3) and nanoparticle volume fraction (1 % ? ?? 5 %). The heat transfer phenomenon is scrutinized with thermal radiation and variable temperature at the surface. The effective thermal conductivity and viscosity with aggregation are modeled by using the MaxwellBruggeman and KriegerDougherty models. The governing equations are solved by using the apposite similarity transformations. It is found that when the effect of aggregation is considered, the velocity profile is lower. A positive sensitivity of the Nusselt number toward thermal radiation is observed. Further, a negative sensitivity of the heat transfer rate is observed toward the magnetic field and nanoparticle volume fraction. 2020, Akadiai Kiad Budapest, Hungary. -
Sensitivity Analysis of Heat Transport in Nanofluids with Marangoni Convection
Crystal growth, soap flm stabilization, coating processes, and growth of silicon newlinewafers involve Marangoni convective and#64258;ows. In microgravity situations, Marangoni effect is more prominent than gravity-induced buoyancy forces. In such situations, the convective and#64258;ows in the and#64258;uids will be driven by surface tension gradients. Moreover, the control of heat transport in the hydromagnetic semiconductor crystals involves Marangoni convection. Therefore, the heat transport rate in Marangoni convective and#64258;ow of nanoand#64258;uids is optimized in this research work. The thermal, thermo-solutal, mixed thermo-solutal Marangoni convection problems are explored in the presence of an external magnetic feld. The thermal phenomenon is scrutinized by including thermal radiation. Diand#64256;erent external eand#64256;ects are included in the problems and a detailed parametric analysis is carried out by using graphical visualizations. The newlinegoverning equations are constructed by utilizing the conservation equations of mass, newlinemomentum, energy and concentration. Realistic nanoand#64258;uid models are chosen which are validated with experimental data. Finite-diand#64256;erence-based and Runge-Kuttabased solving methodologies are adopted. The optimization of the heat (and mass) transport is carried out using the Response Surface Methodology (RSM). The facecentered central composite design is used for optimization. The quadratic empirical models obtained are further explored by estimating the sensitivity. The problem studied in each chapter is given below: Thermal Marangoni and#64258;ow of a nanoand#64258;uid with nanoparticle aggregation newlineA study of magnetohydrodynamic thermal Marangoni convection of ethylene glycol (EG) based titania (TiO2) nanoand#64258;uid is carried out by considering the eand#64256;ect of nanoparticle aggregation. The heat transport phenomenon is scrutinized with thermal radiation. The eand#64256;ective thermal conductivity and viscosity with aggregation are modeled by using the Maxwell-Bruggeman and Krieger-Dougherty models. -
Sensitivity analysis of heat transfer in nanoliquid with inclined magnetic field, exponential space-based heat source, convective heating, and slip effects
Sensitivity analysis of the rate of heat transport in the flow of nanoliquids over an elongated sheet using the response surface methodology (RSM) in combination with the face-centered central composite design. The flow is driven due to the velocity slip and the inclined magnetic field effects. Thermal analysis includes aspects of convective heating, Joule heating, viscous heating, and a space-dependent exponential heat source. The nanoliquid model consists of thermophoresis and random motion mechanisms. A set of coupled partial differential governance equations is rehabilitated into a set of ordinary differential equations using the appropriate transformation. Subsequent nonlinear problem is tackled numerically by utilizing finite difference code that employs the formula of four-stage Lobatto IIIa. The rate of heat transport is scrutinized by adopting RSM for three effectual parameters, namely magnetic field parameter ((Formula presented.)), angle of inclination ((Formula presented.)), and suction parameter (Formula presented.)). The velocity and temperature fields were found to be a decreasing function of an angle of inclination of the magnetic field. The velocity range is inversely related to the suction and flow aspects of velocity. Furthermore, the rate of heat transport is more sensitive to the suction parameter than to the magnetic field and to the angle of inclination of the magnetic field. 2020 Wiley Periodicals LLC -
Sensitive crop leaf disease prediction based on computer vision techniques with handcrafted features
Agricultural production is considered the primary source of the economy of many countries. Tomato and Potatoes are the most sensitive and consumable vegetables worldwide. However, during the growth of these crops, they suffer from many leaf diseases, which lead to loss of productivity and economy of the farmers. Many farmers detect and find plant diseases that are more time-consuming, expensive, and require expert decisions following the naked eye method. Therefore, early and accurate diagnosis of Tomato and Potato crops leaf diseases plays a vital role in sustainable agriculture. So, this research paper proposes an efficient leaf disease classification model based on computer vision techniques. The proposed Adaptive Deep Neural Network (ADNN) leaf disease classification method is a hybrid model which combines an optimized long short-term memory (OLSTM) and convolution neural network (CNN). The weight values supplied in the LSTM classifier are optimally selected using the Adaptive Raindrop Optimization algorithm. The handcrafted features are extracted from the segmented image and fused with the hybrid deep neural network to improve the classifier performance. The ADNN method consists of five steps: preprocessing, feature extraction, segmentation, handcrafted feature extraction, and classification. At first, the images are given to the preprocessing stage to remove the noise from leaf images. Then, the image-affected portion is segmented using an enhanced radial basis function neural network. After the segmentation process, the segmented image is given as an input to the adaptive deep neural network (ADNN) that classifies various types of diseases in the Potato and Tomato leaves. The efficiency of the ADNN model based on the OLSTM-CNN approach is determined concerning multiple metrics, namely Accuracy, Precision, Recall, F-measure, Specificity, and Sensitivity. The ADNN model achieved the best Accuracy of 98.02% for Tomatoes and 98% for Potatoes. The ADNN is compared with existing state-of-the-art CNN, LSTM, ResNet50, and MobileNet techniques. The performance analysis proved that the ADNN model improved efficiency in terms of all metrics and methods. 2023, The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden. -
Sense of humour and work culture: A study based in the luxury hotels in Bangalore, India
Employee well-being has been a focus area for Human Resource managers as well as top management alike. The belief that healthy, happy employees would be more efficient, and consequently contribute more, has verily driven the research to understand the implications of different aspects of an employees health and happiness. Based on the work of key humour researcher Dr. Paul McGhee, it has been established that humour does play a key role in ensuring a happy and healthy workforce. The current study attempts to evaluate the benefits of the use of humour at the workplace, primarily in terms of influencing the work culture. The data for the study has been collected from the hotel sector and has been analysed to understand the use of humour and its influence on the work culture. The findings suggest that the presence and use of humour has a strong positive impact on work culture. The researchers also found that, contrary to previous literature, the use of humour did not depend on demographic variables like age, tenure in the current organization or total work experience. Furthermore, the study also attempts to understand how the use of humour would impact the work culture. In this regard, the researchers found that certain dimensions of humour at the workplace, had a stronger impact on the culture and it is expected that the findings would guide the behaviour of leaders and managers in the creation of a mutually beneficial workplace. 2020, Universidade de Aveiro. All rights reserved.