Browse Items (16481 total)
Sort by:
-
-
Automated Single Responsibility Principle Enforcement: A Step Toward Reusable and Maintainable Code
In this study, we delve into the sphere of automated code scrutiny, specifically concentrating on compliance with the single responsibility principle (SRP), a key principle in software architecture. The SRP proposes that a class should have a singular reason for modification, thereby enhancing code cohesion and facilitating its maintenance and reusability. The study presents a pioneering system that utilizes a holistic strategy to ascertain SRP compliance within code. This system rigorously inspects code interfaces, the interaction points among various software components. Through this process, we extract critical insights into the codes maintainability and reusability. An optimally designed interface can significantly improve code management and foster its reuse, leading to superior software design efficiency. Beyond interface inspection, our system also explores complexity metrics such as cyclomatic complexity and hassel volume. Cyclomatic complexity offers a numerical indicator of the count of linearly independent paths traversing a programs source code, serving as a measure of code complexity. Hassel volume is an additional metric that can quantify code complexity. Moreover, our system employs code smell detection methodologies to identify instances of high interdependence between classes, often a sign of SRP breaches. High interdependence, or tight coupling, complicates code modification and maintenance. The system integrates the conclusions from these varied analyses to determine SRP compliance. The outcomes of this investigation highlight a hopeful trajectory toward automated SRP detection. This could provide developers with tools that proactively foster the development of well-organized and maintainable code, thereby enhancing software design quality. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Synthesis, characterization and antimicrobial studies of novel Schiff bases and their complexes
Novel Schiff bases, Furan-2-carboxylic acid pyridin-4-ylmethyleneamide, and Thiophene-2-carboxylic acid 1H-indol-2-ylmethyleneamide and their mononuclear Ni(II) and Cu(II) complexes have been synthesized and characterized by elemental analysis, molar conductance, UV-visible, FT-IR, 1H NMR and EPR spectroscopy. The complexes are non-electrolytes as evidenced from the molar conductance vaules. The ligands and their complexes have been tested for their antimicrobial activity against one gram positive bacteria, Bacillus subtilis, gram negative bacteria, Escherichia coli and fungi Candida albicans. It is found that metal complexes exhibited more activity than the free ligand. 2021 Scientific Publishers. All rights reserved. -
Forbidden Cravings: Exploring socio-cultural ramifications of food practices in Aamis
Food choices represent conscious affirmation and expression of personal, group, ethnic or national identity. Due to its multidimensional role, food that we rely on sustenance is often politicised and used as a tool to create conflict amongst and within diverse social groups. Assamese cuisine includes a rich platter of authentic food varieties, often limited to the north-eastern region. Although food consumption is a subjective experience, cultural taboos within a community might be acceptable practices in another culture, creating conflicting notions of food practices. The balance between the twin axis of culture and politics regarding food is disrupted when heterogeneous cultural patterns and opposing political notions are in discord. Similarly, the solidarity within a cultural group becomes hostile when the authority of the individual concerning food choices is not aligned with the authority of the social structure. This discord from a political and cultural standpoint is evident in the Assamese socio-cultural scenario. Taking Bhaskar Hazarika's Ravening/Aamis (2019) as a case study, this paper proposes to analyse the representational troupe of food, through a structuralist anthropological lens, with respect to food politics to understand socio-cultural ramifications of Assamese food patterns. 2022 Aesthetics Media Services. All rights reserved. -
Generalized p-Transmuted Neutrosophic Distributions: Theory and its Applications
The study of neutrosophy offers a fresh approach for handling uncertain data with adaptability. This article explores the application of neutrosophic probability distribution in constructing a transmuted neutrosophic framework. Specifically, it introduces a generalized transmuted neutrosophic distribution. Building upon this generalization, quadratic and cubic transmuted distributions are developed and examined alongside certain lifetime distributions serving as foundational neutrosophic models. Additionally, an empirical investigation is conducted to assess the practicality and versatility of these distributions in real-world contexts. 2024, American Scientific Publishing Group (ASPG). All rights reserved. -
Multimodal learning for autonomous systems and robotics
The realm of autonomous systems and robotics is experiencing a paradigm shift driven by the integration of advanced artificial intelligence (AI) techniques and multimodal learning approaches. This abstract explores the latest advancements and research topics that are propelling the field toward more intelligent, efficient, and versatile autonomous systems. Multimodal learning leverages multiple sensory inputs to enhance the perception and decision-making capabilities of autonomous systems. This involves the integration of visual, auditory, tactile, and other sensory data to form a coherent understanding of the environment. Deep learning techniques, such as multimodal neural networks and crossmodal embeddings, play a pivotal role in this integration, enabling the system to learn joint representations and improve robustness in perception under varying conditions. Computer vision remains a cornerstone of autonomous systems, with advancements in techniques such as real-time object detection, tracking, and high-resolution image synthesis through generative adversarial networks. Vision-based reinforcement learning is also gaining traction, enabling systems to learn from visual inputs and improve their decision-making processes in dynamic environments. The integration of advanced sensors, including high-resolution light detection and ranging, radio detection and ranging, and event-based cameras, enhances the capability of autonomous systems to perceive their surroundings accurately. Multisensor data fusion, using methods like Kalman and particle filters, ensures robust perception even in adverse conditions, providing a comprehensive view of the environment. Innovations in actuation and control systems are fundamental for the development of responsive and adaptive robots. Soft robotics, inspired by biological systems, offers new possibilities in design, modeling, and control. Hybrid control systems facilitate the coordination of multimodal actuation, enhancing the robots versatility and performance. The deployment of high-performance embedded systems, incorporating heterogeneous computing architectures (CPU-GPU-FPGA integration), is vital for real-time data processing and decision-making. Neuromorphic computing and AI hardware accelerators provide low-power solutions that are crucial for the efficiency of autonomous systems. Techniques for uncertainty estimation, outlier detection, and anomaly detection are essential for maintaining system reliability. Advanced robotic perception and cognition, combined with cognitive architectures for autonomous reasoning, enable systems to operate safely in complex and dynamic environments. The interface between humans and robots is evolving, with a focus on multimodal human-robot interaction. Learning from human demonstrations and ensuring safety and trust in human-robot teams are critical areas of research, promoting effective collaboration between humans and robots. Advanced simulation techniques, including high-fidelity physics-based simulations and domain randomization, are employed to test and validate autonomous systems. Virtual reality and augmented reality provide immersive environments for training and testing. Real-time simulation and hardware-in-the-loop testing ensure the robustness and reliability of autonomous systems before deployment. Ethical AI and autonomous decision-making frameworks are being developed to address these issues. Privacy-preserving machine learning techniques and cybersecurity measures are essential for protecting sensitive data and ensuring the security of autonomous systems. This comprehensive overview underscores the rapid advancements and multifaceted nature of multimodal learning and autonomous systems, heralding a new era of intelligent and adaptive robotics capable of transforming numerous industries and improving the quality of human life. 2026 Elsevier Inc. All rights reserved. -
Effectiveness of promotional strategies of media meet 2014: A case study /
Media Meet is a national level annual fest conducted by the Department of Media Studies, Christ University, Bengaluru since 2010. Media Meet provides a platform to bridge the gap between professions and students in the domain of media. Media Meet is covered by various regional and national media houses. -
-
Computer Vision Based Indian Sign Language Recognition Using Deep Learning
Speech is a human default and unique modality for language development and communication which is essential for memory and overall cognitive development. Excellency in language permits a child to be extrovert enriching the development of cognitive and psychosocial skills; whereas, for auditory deprived children, the misalignment of the brain and ear makes them impotent to communicate with the society which creates a central dogma that hearing-loss is a disability which further ignores their psycho-social identity. To fill such gaps and make their community more freewheeling in India, Indian Sign Language (ISL) - a complete language with its own linguistic and verbal elements was framed. Though ISL is appropriate and absolute in every linguistic approach, lack of prerequisite and proficiency enforces dedicated teachers to teach the curriculum through contrived signs for the sake of convenience that not only diminishes the distinctiveness of ISL but also dislodges the idea of learning their mother tongue. This creates an imbalance in the analogous learning of communication and curriculum language. In order to balance the level in learning, effective vision-based days of the week ISL model is developed through Convolution Neural Network (CNN) architecture which boasts independent learning of ISL. The proposed model comprises of six stages: dataset creation, preprocessing, splitting dataset into train, validation and test, applying various types of image augmentation techniques according to split, constructing CNN model for feature extraction and classification and finally evaluating the result through evaluation measures. Initially, an image dataset is created as there is a scarcity of standard ISL datasets in internet sources. The images are created on vision-based technique to avoid of carrying additional superfluous hardware gadgets for human computer interaction. -
A comprehensive review on bifunctional catalysts for efficient electrochemical hydrogen production from wastewater
The authors regret the wrong project number in the acknowledgement part, which has been renewed this year in the Korea's side. It is an important issue since the achievement of the funded project requires a correct project number during assessment. Therefore, the authors sincerely hope that the editor could kindly consider to change the content (project number) in the acknowledgement part as follow: Old number: New number: < This work was supported by the SEED money scheme, CHRIST University, Bangalore (CU-ORS-SM-24/32) and National Research Foundation of Korea (Project: RS-202400343361) The authors would like to deeply apologise for any inconvenience caused. 2025 Hydrogen Energy Publications LLC -
-
Development and validation of an intimate relationship security scale
Relationships form an integral part of our lives, a key function being attachment. While newlineromantic relationships have mainly been studied with attachment theories as the basis,collectivistic cultures like India emphasize on togetherness more than individualism. To understand and measure security in any intimate relationship, a tool was developed, utilizing both qualitative and quantitative methods. An initial thematic analysis helped develop a basic model of relationship security that guided item generation. Items were developed to help newlinemeasure the newly operationalized construct, using stakeholders, literature review and social media. 520 participants, including both, marital and pre-marital and 7 experts, helped cut down the 206 item pool to (in the first phase of data collection) to 84 items. Exploratory factor analysis was conducted the second time on a sample of 486 participants that further narrowed down the scale to 58 items. The final confirmatory factor analysis, using SPSS AMOS, involved data collected from 408 participants. Validity, Reliability analysis and norms were developed for the final scale of 43 items. -
An artificial intelligence based smart cap with voice assistant for blind person /
Patent number: 202241013502, Applicant: Dr. Aruna S K.
People who are completely blind or have reduced eyesight confront numerous challenges while navigating. Every day, they face a variety of challenges, particularly in terms of mobility. Several systems have been developed to assist visually impaired people and improve their quality of life. This invention helps the blind to navigate independently using smart cap. It enables visually impaired people to see the world by voice assistance. It enables the blind and visually impaired to navigate freely by allowing them to experience their surroundings through audio output that describes the identified things. -
Modulated rayleigh-benard ferroconvection in couple stress fluid
Ferromagnetic fluid with couple stress confined between two stress-free, isothermal horizontal plates is considered in this study. The effect of different types of modulation on Rayleigh-Bard convection in a ferromagnetic fluid with couple stress is examined by considering sinusoidal (sine) and non-sinusoidal (square, triangular, and sawtooth) wave types of modulation. Rayleigh- Bard convection in a ferromagnetic fluid with couple stress subjected to gravity, rotation, temperature, and internal heat modulation is discussed by performing linear and non-linear analyses. The expression for the critical Rayleigh number and the correction Rayleigh number are deduced using the Venezian approach. The effect of gravity, rotation, temperature and internal heat modulation on heat transport is studied using the generalized Lorenz model. The effect of various parameters on the onset of convection and heat transport is studied. The ferromagnetic parameters hasten the convection onset and enhance the heat transfer under various modulations. The results of a Newtonian fluid, ferromagnetic fluid, and couple stress fluid is obtained as the limiting cases of this study. -
Modulated Rayleigh-benard ferroconvection in couple stress fluid
Ferromagnetic fluid with couple-stress confined between two stress-free, isothermal horizontal plates is considered in this study. The effect of different types of modulation on Rayleigh-Bénard convection in a ferromagnetic fluid with couple-stress is examined by considering sinusoidal (sine) and non-sinusoidal (square, triangular, and sawtooth) wave type of modulation. Rayleigh-Bénard convection in a ferromagnetic fluid with couple-stress subjected to gravity, rotation, temperature, and internal heat modulation is discussed by performing linear and non-linear analyses. The effect of various parameters on the onset of convection and heat transport is studied. The ferromagnetic parameters hasten the convection onset and enhance the heat transfer under various modulations. The results of a Newtonian fluid, ferromagnetic fluid, and couple-stress fluid are obtained as the limiting cases of this study. -
Study of Classical Be Stars in Open Clusters in the Galaxy
Classical Be stars (CBe) in open clusters older than 100 Myr are identifed. The objective is to study their characteristics relating to age, spectral type and evolutionary state. This study compliments with that of Mathew et al. (2008), where they identifed and characterized emission-line stars in open clusters younger than 100 Myr. For this research, we surveyed a sample of newline71 open clusters older than 100 Myr using the slitless spectroscopy technique, with the Himalayan Chandra Telescope (HCT). From the survey we identifed 15 CBe stars from the 11 open clusters older than 100 Myr. Out of 15 CBe stars, 13 CBe stars show Hand#945; in emission. Among these CBe stars, TYC 2679-432-1 is a new detection, belonging to Berkeley 50 open newlinecluster. Two more CBe stars, out of 15 CBe stars, are found to exhibit Hand#945; in absorption for the frst time. This suggests that they might be passing through a disc-loss episode (or transient phase). Apart from our survey of 71 old open clusters, we found additional 16 Be stars from 6 open clusters older than 100 Myr in the literature (which was not observed in the slitless survey due to observation limitations). In addition to HFOSC instrument mounted on HCT, we used Opto Mechanics Research (OMR) spectrograph newlinemounted on 2.3-m Vainu Bappu Telescope (VBT) for taking the slit spectra of CBe stars. We performed the optical spectroscopy of 16 classical Be stars in 11 open clusters older than 100 Myr. Among these 16 stars, 15 newlinewere identifed from our previous slitless spectroscopic study. The remaining one, LS III +47 37b is a new detection, which is confrmed through the present study. Our analysis also suggests that one out of these 16 stars, [KW97] 35-12 might be a weak Hand#945; emitter in nature showing Hand#945; EW of -0.5 Moreover, it is found that the Hand#945; EW for 15 stars is lt -40 in agreement with previous works. Interestingly, we did not observe any FeII emission line or even the OI 8446 emission feature in any of our sample stars. -
-
Influence of behavioural traits on investment decisions
Behavioural traits exhibited by individual investors play a vital role in the investment decisions made by the investor. In this research, the researcher has identified the different behavioural traits shown by different individual investors by their unique characteristics. The study was conducted on a sample size of 811 individual investors from different parts of Bengaluru. The study classified the investment decisions into four aspects and also identified whether investment decisions vary significantlly due to demographic factors. The study further developed a model which explains the linkages between behavioural traits to investment attitude and investment attitude to investment decisions. Review of literature revealed that there exists a gap in the studies in behavioural finance showing the linkages between an investor's behavioural traits and investment attitude and investment decisions. Even though many research happened to identify the personality traits of individual investors, no significant attempt was made to study the linkage between behavioural traits on investment decisions. In this study, an attempt was made to show how individual investors behavioural traits can affect the investment attitude and how investment attitude can affect the investment decision of an individual investor. Result of the study indicated that behavioural traits influences the investment decisions of individual investors. The model developed in the study also proved a linkage between behavioural traits , investment attitude and investment decisions of individual investors with the moderating effect of demograpic factors. -
A low cost and high actuation speed 3D printed prosthetic arm /
Patent Number: 202241047867, Applicant: Sujatha A K. -
Natural template-assisted green synthesis of cobalt oxide and its surface functionalization using ?-alanine for biological applications
The incorporation of nanotechnology into material science has brought great advancements in diverse fields like medicine, electronics, energy, and the environment. Metal oxides gained notable attention from various nanomaterials due to their unique structure and properties. Cobalt oxide nanoparticles (Co3O4) stand out especially due to their diverse properties and applications. Synthesis of metal oxides through the traditional method faces many drawbacks, such as the use of toxic chemicals, a complex procedure, and environmental and health impacts. Whereas the green method of synthesis using natural resources, followed by surface modification with amino acids, acts as a better option for metal oxide synthesis. This paper focuses on developing a green, sustainable, and scalable method for synthesising Co3O4 nanoparticles, using a natural template, gum Arabic, followed by surface functionalization of ?-alanine. Various physico-chemical characterisation techniques such as DLS, TEM, FTIR and XRD were used to study nanoparticle composition and properties. Biocompatibility studies, cell viability assays and fibroblast cell lines from human skin by Alamar Blue assay, were carried out to test the effects of synthesised nanoparticles, and optimised protocols were also used to enhance performance for particular biomedical applications. Incorporating green synthesis and advanced techniques, ?-alanine functionalized Co3O4 nanoparticles, this research points toward developing more stable, biocompatible, and reactive nanoparticles under biological conditions. and multifunctional Co3O4 nanomaterials. Overall, the current study aims at sustainability with innovation towards transformative various biological applications in healthcare, biomedicine, diagnostics, MRI, biosensors, photo-sensing agents and energy technologies while addressing significant gaps in present methodologies. 2025 Elsevier B.V.