bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGGUNAAN SMART APP CREATOR (SAC) SEBAGAI PERANGKAT PENGEMBANGAN MEDIA PEMBELAJARAN MATEMATIKA INOVATIF
Authors: Arifin Almukarramah
Published: March 2024

The limited use of media in mathematics learning becomes one of the reasons we develop this research. Therefore, this research aim is to produce learning media in the form of mobile applications on Android or smartphones using Smart App Creator (SAC). As subject of research, students at SMP Negeri 1 Pinogaluman in grades VIIA and VIIB was carried out. The method used in this research is Research and Development (R&D) with modifications to the development stages of the ADDIE development model (Analyze, Design, Development, Implementation, Evaluation). The feasibility of learning media is seen from three aspects, namely validity, practicality and effectiveness. Data collection techniques use interview instruments, observation, expert validation questionnaires, questionnaires and student responses, and test results. The product trial was conducted in two stages, namely a small-scale trial with research subjects of 5 students of class VIIB students and a large-scale trial with research subjects of 46 students of class VIIA and VIIB. The validity criteria for innovative learning media were obtained from the assessment of media experts and material experts with average scores of 4.30 and 4.40 (very feasible category). The product was given a practical value based on student responses with an average score of 91.53%, and an average teacher response of 94.49%. Innovative learning media is also considered effective based on test results with a one group pretest and posttest experimental design with an average pretest score of 54.57 and an average posttest score of 82.83
PEMANFAATAN BAHAN LOKAL BAMBU MAYAN SEBAGAI BAHAN SUBSTITUSI ANGREGAT PADA BETON
Authors: Mulyati Ely
Published: March 2024

Bamboo is a plant that can be found around us, especially in rural areas. Bamboo is an environmentally friendly building material compared to conventional building materials. In addition to being easily accessible, cheap, and lightweight, bamboo also possesses considerable strength. There have been numerous studies on the use of bamboo, but in this research, bamboo is utilized as a substitute material for coarse aggregates. The planned compressive strength is for concrete with a compressive strength of K250 (20.75MPa) with substitution proportions of 30%, 50%, and 100%, which will be compared with normal concrete. In this study, it is expected to determine the proportion of substitution of coarse aggregates in concrete using bamboo. Based on the tests conducted, ranging from testing concrete-forming materials to compressive strength tests, the compressive strength obtained for normal concrete (0%) at 28 days is 26 MPa. Meanwhile, the compressive strength for concrete with a 30% substitution proportion is 26 MPa, 50% proportion is 13 MPa, and 100% proportion is 9 MPa. Thus, it can be concluded that the greater the percentage of concrete substitution, the lower the compressive strength obtained.
Nanofluids: New Generation Fluids on Industrialization Path
Authors: Mahbubul I.M. , Elcioglu Elif Begum , Benchabane Adel
Published: March 2024

In the last Editorial, we presented the evolution of the journal "Energy and Thermofluids Engineering, ETE" (Mahbubul 2021) and mentioned that the Journal focuses on three main areas: renewable energy, conventional energy, and thermofluids engineering. The current Editorial is about nanofluids as one of the most promising thermofluids. Nanofluids are complex mixtures of nanoscale solid particles (1-100 nm) with heat transfer fluids. Conventional heat transfer fluids (e.g., water, glycols, refrigerants, oils, etc.) have very low thermal conductivities. This restricts the thermal phenomena, resulting in poor thermal efficiencies and exergetic outputs. When nanofluids are designed to have high thermal conductivity nanoparticles, they exhibit higher thermal conductivities than those of conventional heat transfer fluids.
A A highly efficient InGaP thin film solar cell structure, optimization and characteristics
Authors: Djaafar Fatiha , Hadri Baghdad
Published: March 2024

Inorganic solar cells based on III-V semiconductor materials are widely used owing to their high efficiencies. In this work, we aim to improve the performance of the single heterojunction solar cell InGaP. The InGaP cell is constituted of a back surface field (BSF), a base, an emitter and a window layer with InAlAsP material. The simulation is done after optimization, modeling, and choice of the used materials and the thickness of different layers constituting the solar cell. The choice of materials whose gap energy is decreasing allows the absorption of the solar spectrum in its almost totality. Then, we varied the temperature to know its effects on the gap energy and the efficiency of the InGaP cell. The InGaP and solar cell with optimal parameters are illuminated by an AM1.5 solar spectrum through InAlAsP window layer. The simulation and optimization at 300K of short circuit current parameters (Jsc), open circuit voltage (Voc), fill factor (FF) and efficiency (?) are done using Tcad Silvaco software. The characteristics obtained are: the minimized thickness of 665 nm, electrical efficiency is about ? = 21.87% for InGaP cell, Jsc = 14.43 mA/cm2, Voc = 1.63 V, and FF = 91.21 %.
JWST MIRI MRS Observations of T Cha: Discovery of a Spatially Resolved Disk Wind
Authors: Bajaj Naman S. , Pascucci Ilaria , Gorti Uma , Alexander Richard , Sellek Andrew , Morrison Jane , Gaspar Andras , Clarke Cathie , Xie Chengyan , Ballabio Giulia , Deng Dingshan
Published: March 2024

Understanding when and how circumstellar disks disperse is crucial to constrain planet formation and migration. Thermal winds powered by high-energy stellar photons have long been theorized to drive disk dispersal. However, evidence for these winds is currently based only on small (∼3–6 km s−1) blueshifts in [Ne ii] 12.81 μm lines, which does not exclude MHD winds. We report JWST MIRI MRS spectro-imaging of T Cha, a disk with a large dust gap (∼30 au in radius) and blueshifted [Ne ii] emission. We detect four forbidden noble gas lines, [Ar ii], [Ar iii], [Ne ii], and [Ne iii], of which [Ar iii] is the first detection in any protoplanetary disk. We use line flux ratios to constrain the energy of the ionizing photons and find that argon is ionized by extreme ultraviolet, whereas neon is most likely ionized by X-rays. After performing continuum and point-spread function subtraction on the integral field unit cube, we discover a spatial extension in the [Ne ii] emission off the disk continuum emission. This is the first spatially resolved [Ne ii] disk wind emission. The mostly ionic spectrum of T Cha, in combination with the extended [Ne ii] emission, points to an evolved stage for any inner MHD wind and is consistent with the existence of an outer thermal wind ionized and driven by high-energy stellar photons. This work acts as a pathfinder for future observations aiming at investigating disk dispersal using JWST.
Modeling of Radio Supernovae: Including the Effects of Inhomogeneities and Radiative Cooling
Authors: Björnsson C.-I.
Published: March 2024

The presence of inhomogeneities in a spatially unresolved source is often hard to establish. This limits the accuracy with which the source properties can be determined. It is shown how observed features not expected for a homogeneous model can be used to infer the properties of the inhomogeneities in radio supernovae. Furthermore, the observed consequences of radiative cooling can be seriously affected by inhomogeneities. It is shown that the deduced source properties are very sensitive to the observed value of the cooling frequency; even a lower limit is often useful to constrain its characteristics. It is argued that the main synchrotron emission region in SN 2003L has a small volume filling factor, possibly as low as a few percent. On the contrary, deviations from homogeneity are substantially smaller in SN 2002ap. The observed properties of Type Ib/c radio supernovae in general indicate the volume filling factor to remain rather constant with time for individual sources, but those peaking later at radio frequencies have lower filling factors. The conditions in the main synchrotron component in both SN 2003L and SN 2002ap are consistent with equipartition of energy between relativistic electrons and magnetic fields.
Dust Polarization of Prestellar and Protostellar Sources in OMC-3
Authors: Liu Yuhua , Takahashi Satoko , Machida Masahiro , Tomisaka Kohji , Girart Josep Miquel , Ho Paul T. P. , Nakanishi Kouichiro , Sato Asako
Published: March 2024

We present the Atacama Large Millimeter/submillimeter Array observations of linearly polarized 1.1 mm continuum emission at ∼0.″14 (55 au) resolution and CO (J = 2−1) emission at ∼1.″5 (590 au) resolution toward one prestellar (MMS 4), four Class 0 (MMS 1, MMS 3, MMS 5, and MMS 6), one Class I (MMS 7), and one flat-spectrum (MMS 2) sources in the Orion Molecular Cloud 3 region. The dust disk-like structures and clear CO outflows are detected toward all sources except for MMS 4. The diameters of these disk-like structures, ranging from 16 to 97 au, are estimated based on the deconvolved full width half maximum (FWHM) values obtained from the multi-Gaussian fitting. Polarized emissions are detected toward MMS 2, MMS 5, MMS 6, and MMS 7, while no polarized emission is detected toward MMS 1, MMS 3, and MMS 4. MMS 2, MMS 5, and MMS 7 show organized polarization vectors aligned with the minor axes of the disk-like structures, with mean polarization fractions ranging from 0.6% to 1.2%. The strongest millimeter source, MMS 6, exhibits complex polarization orientations and a remarkably high polarization fraction of ∼10% around the Stokes I peak, and 15%–20% on the arm-like structure, as reported by Takahashi et al. (2019). The origins of the polarized emission, such as self-scattering and dust alignment due to the magnetic field or radiative torque, are discussed for individual sources. Some disk-like sources exhibit a polarized intensity peak shift toward the nearside of the disk, which supports that the polarized emission originates from self-scattering.
Coronagraphic Data Post-processing Using Projections on Instrumental Modes
Authors: Xin Yinzi , Pueyo Laurent , Laugier Romain , Pogorelyuk Leonid , Douglas Ewan S. , Pope Benjamin J. S. , Cahoy Kerri L.
Published: March 2024

Directly observing exoplanets with coronagraphs is impeded by the presence of speckles from aberrations in the optical path, which can be mitigated in hardware with wave front control, as well as in post-processing. This work explores using an instrument model in post-processing to separate astrophysical signals from residual aberrations in coronagraphic data. The effect of wave front error (WFE) on the coronagraphic intensity consists of a linear contribution and a quadratic contribution. When either of the terms is much larger than the other, the instrument response can be approximated by a transfer matrix mapping WFE to detector plane intensity. From this transfer matrix, a useful projection onto instrumental modes that removes the dominant error modes can be derived. We apply this approach to synthetically generated Roman Space Telescope hybrid Lyot coronagraph data to extract “robust observables,” which can be used instead of raw data for applications such as detection testing. The projection improves planet flux ratio detection limits by about 28% in the linear regime and by over a factor of 2 in the quadratic regime, illustrating that robust observables can increase sensitivity to astrophysical signals and improve the scientific yield from coronagraphic data. While this approach does not require additional information such as observations of reference stars or modulations of a deformable mirror, it can and should be combined with these other techniques, acting as a model-informed prior in an overall post-processing strategy.
Cultural capital, accountability and equity: Time for a rethink?
Authors: Stillings Brian
Published: March 2024

I grew up on free school meals and now work as a school improvement adviser. In this article, I address discontinuities within my 'support and challenge' role, a role that can be constrained by educational policy enacted within a performative and panoptic culture of fear. Successive
governments have concerned themselves with promoting equity through education, but discourses of levelling up and narrowing the attainment gap have yet to properly tackle inequalities. This article draws on Bourdieu's notion of cultural capital to explore how pupils, especially working-class
pupils, continue to be left behind and dehumanised thanks to a performative culture that pervades policy in school improvement and accountability. The Department for Education (DfE) commissioned research in 2019 on high-performing countries whose governments promote an equitable education
system. These jurisdictions use collaboration as opposed to competition to achieve equitable educational outcomes, while our government favours accountability rather than collaboration to drive up school standards. I argue that the next government has the power to use such research on the
benefits of collaboration rather than competition to genuinely improve outcomes for working-class pupils.
Se mettre autour d’une table pour « se mettre à table ». L’analyse de pratiques professionnelles comme fonction vitale de l’institution ?
Authors: Delfortrie Jérôme
Published: March 2024

Entrées dans les rituels institutionnels, les Analyses de pratiques professionnelles ne sont pour autant pas aussi définies et évidentes qu’elles n’y paraissent… Boîte noire auréolée de la confidentialité, ce « microscope à situations » est aussi témoin (lumineux ?) d’une vitalité institutionnelle. Entre neutralité impossible et sorties de cadres préjudiciables, un intervenant dépeint de l’intérieur le subtil curseur des frontières de cet espace.
L’analyse de la pratique comme contrepoint et contrepoids à une approche normative
Authors: Sellenet Catherine
Published: March 2024

Depuis 2021, le législateur impose à des établissements d’accueil de la petite enfance la mise en place de séances d’analyse des pratiques. De volontaire, l’analyse de la pratique devient obligatoire pour un minimum de six heures annuelles dont deux heures par quadrimestre, en dehors de la présence des enfants, dans des séances animées par des professionnelles qualifiées, sans lien hiérarchique et hors de la présence de la direction. Faut-il se réjouir que l’analyse de la pratique devienne obligatoire ? Faut-il craindre que l’analyse de la pratique se métamorphose en un espace de transmission de « bonnes pratiques » ? Ce travail de problématisation d’une pratique professionnelle, qui au quotidien reste souvent solitaire, demande bien plus que les six heures annuelles prévues dans la loi de 2021. Elle requiert une implication des professionnels, le respect du tâtonnement, l’assurance que les doutes, les incertitudes, pourront s’exprimer sans jugement et imposition à penser selon des normes et des standards.
Déployer une posture de direction incarnée et responsable. La force socialisatrice d’une formation articulant outils réflexifs avec outils de gestion
Authors: Bachmann Laurence , Ronchi Anne , Perriard Anne
Published: March 2024

Cet article vise à comprendre l’enthousiasme des participant∙es d’une formation continue en gestion et direction d’institutions du secteur du care . Il s’appuie sur l’analyse de deux outils réflexifs : un outil introspectif appuyé des sciences sociales et un dispositif d’analyse en groupe de la pratique professionnelle visant à accueillir et à pratiquer la vulnérabilité. Il explore ensuite la posture enseignante porteuse de ce que nous appelons de l’ activisme inspirationnel . L’originalité de cette formation réside dans le fait de lier outils réflexifs et outils de gestion pour consolider une posture de direction incarnée et responsable, empreinte de care et dotée d’esprit critique.
Une expérience vivante de l’Église synodale : L’assemblée continentale des Églises orientales catholiques (13-18 février 2023)
Authors: Hachem Gabriel
Published: March 2024

Dans le processus synodal lancé par le pape François en octobre 2021, les Églises orientales catholiques sont considérées comme l’équivalent d’un « continent ». En fait, le Pape estime que leur tradition apostolique et leur expérience synodale ont un rôle clé à jouer et un apport utile à l’Église tout entière. Réunies en Assemblée synodale appelée « continentale » au Liban, du 13 au 18 février 2023, les six Églises orientales sui juris, maronite, grecque-melkite, chaldéenne, syriaque, copte et arménienne, ainsi que le patriarcat latin de Jérusalem et les diocèses latins du Golfe arabique, ont souligné l’importance de l’unité dans la diversité et exploré la dimension théologique et pastorale de la synodalité. Cet article vise à analyser le contenu du rapport continental final qui aborde des thèmes tels que le témoignage commun, l’œcuménisme, la réforme liturgique et la gestion du pluralisme dans un contexte religieux si divers. À partir des recommandations votées par l’assemblée, l’article propose quelques pistes de réflexion pour la suite du processus synodal dans la région du Moyen-Orient.
The Foundation of synodality: The word pitched his tent among us
Authors: Turner Robert
Published: March 2024

« Les Fondements de la Synodalité : La Parole a planté sa tente parmi nous » par Robert Turner explore la signification de la synodalité en mettant l’accent sur le réalisme des Conclusions dans le contexte de l’Assemblée Synodale Continentale des Églises Catholiques au Moyen-Orient. Il souligne l’importance de s’identifier au Christ, d’imiter Sa manière de vivre et de reconnaître la nature synodale de l’Église. Le document met en avant la centralité de l’incarnation, de la diversité, et le rôle essentiel de la liturgie et de la communion. Malgré les imperfections historiques, l’engagement envers la synodalité reste fort. Les réalités pastorales, encadrées par sept domaines et la miséricorde, sont examinées, mettant l’accent sur l’importance d’une vraie communion. Le document se conclut par huit points clés pour approfondir la vie synodale de l’Église.
Les empreintes du livre de la Genèse dans le roman Les fils de la Médina de Naguib Mahfouz
Authors: Khairallah Gabriel
Published: March 2024

Dans le roman Les fils de la Médina, N. Mahfouz raconte l’histoire d’un quartier, détaillant les conditions de son développement au fil du temps surtout au niveau socio-politique. La trame narrative de son roman s’inspire dans les 3 premiers chapitres des événements et des personnages bibliques : Adam, Moïse et Jésus ainsi que celui de Dieu. Ainsi, certains passages clés de la Bible deviennent la matrice d’un roman politique qui raconte la vie d’une cité, dénonçant certains facteurs qu’elle subit notamment la violence et l’injustice. Tout en racontant la vie de la cité, une vision et une approche bien particulière de Dieu se dégagent à travers le roman. Cet article souhaite analyser la façon avec laquelle un écrivain de culture arabo-musulmane s’inspire du livre de la Genèse dans un chapitre de son roman et comment il opère un déplacement de la théologie à la politique. Il souhaite analyser également la vision de Dieu qui se dégage dans ce chapitre et son rapport aux divers protagonistes. Le but est de répondre à ces deux questions : que fait Mahfouz de la matrice biblique ? Quels sont les effets théologiques, anthropologiques et politiques de sa récupération de la Bible ?
Hystérie et identification hystérique. De la conversion à la contagion
Authors: Chervet Bernard
Published: March 2024

L’hystérie est au fondement de la psychanalyse, de la découverte de l’après-coup et de l’organisation en-deux-temps du fonctionnement psychique. Elle est caractérisée par la conversion corporelle. Ce processus réussit à relier des motions pulsionnelles inconscientes et des formulations langagières en latence par un accomplissement hallucinatoire de désir ; d’où un langage du corps. Se présentent deux énigmes, celles de l’inscription des pulsions dans le psychisme et du saut du psychisme dans le corps. La conversion s’implique dans l’installation de la sensualité de l’ensemble du corps et de ses zones érogènes, temps indispensable pour qu’existe dans un second temps la régression sensuelle propre à la vie érotique. L’identification hystérique nous apprend que les défauts de renoncement impliqués dans l’hystérie sont compensés par des contagions groupales d’éprouvés sensuels et émotionnels. Là où un renoncement manque, une mise en commun et en communauté s’impose. Plus les potentialités de mentalisation de l’hystérie tendent à se réduire, plus la contagion tend à se transformer en psychologie collective, en mutualité narcissique et en communauté de masse.
Réflexions sur les relations de groupe entre la DPG et la DPV dans les années 1950-1967
Authors: M. Hermanns Ludger
Published: March 2024

Dans les années 1950, la DPG (Société psychanalytique allemande) et la DPV (Association psychanalytique allemande) se sont concentrées sur des tâches différentes : pour l’une, le traitement des patients et la recherche, pour l’autre, la formation de la nouvelle génération de psychanalystes. Les deux associations cohabitent toutefois dans une coexistence essentiellement pacifique, la métaphore du « couple de jumeaux siamois » indiquant qu’institutionnellement (et inconsciemment) elles ne sont pas encore vraiment séparées. Ce n’est qu’à dater de 1959-1960, lorsque la DPG se réveille de son « sommeil de Belle au bois dormant » psychanalytique et qu’elle cherche à se rattacher aux instances internationales, qu’on assiste à une lutte acharnée entre les deux associations, la DPV revendiquant le monopole sur la psychanalyse en Allemagne. Ce n’est qu’au cours de ce processus que la séparation s’est vraiment opérée. Il a fallu attendre le milieu des années 1980 pour que soit reconnue l’imbrication réciproque dans une « paranoïa de groupe ».
Compulsion de répétition et temps
Authors: Mitrossilis Spiros
Published: March 2024

L’auteur décrit le moment d’un processus analytique dans lequel, partant principalement de son contre-transfert, il est amené à formuler des constructions concernant le passé non historicisé, et perdu, de son patient. Après avoir revisité la notion de temporalité à travers deux versions de la répétition, il se concentre sur la répétition compulsive qui semble appartenir au présent et renvoyer à la non-constitution d’un passé. Il fait l’hypothèse que des traumatismes primaires avaient empêché l’inscription de véritables représentations inconscientes, aboutissant à une confusion temporelle et à une répétition dans une actualité sans fin. Les constructions plus que les interprétations introduisent l’historisation dans la psyché. Lors du travail de construction, le contre-transfert passe au premier plan, et l’analyste participe plus directement à la survenue même de l’après-coup dans le psychisme de l’analysant.
Recent progress on mathematical analysis and numerical simulations for Maxwell's equations in perfectly matched layers and complex media: a review
Authors: Li Jichun
Published: March 2024

In this paper, we presented a review on some recent progress achieved for simulating Maxwell's equations in perfectly matched layers and complex media such as metamaterials and graphene. We mainly focused on the stability analysis of the modeling equations and development and analysis of the numerical schemes. Some open issues were pointed out, too.
Best proximity point of $ \alpha $-$ \eta $-type generalized $ F $-proximal contractions in modular metric spaces
Authors: Yu Yao , Li Chaobo , Ji Dong
Published: March 2024

The purpose of this paper is to present a study of $ \alpha $-$ \eta $-type generalized $ F $-proximal contraction mappings in the framework of modular metric spaces and to prove some best proximity point theorems for these types of mappings. Some examples are given to show the validity of our results. We also apply our results to establish the existence of solutions for a certain type of non-linear integral equation.
Predefined-time sliding mode control of chaotic systems based on disturbance observer
Authors: Liu Yun , Huo Yuhong
Published: March 2024

In this paper, in order to realize the predefined-time control of $ n $-dimensional chaotic systems with disturbance and uncertainty, a disturbance observer and sliding mode control method were presented. A sliding manifold was designed for ensuring that when the error system runs on it, the tracking error was stable within a predefined time. A sliding mode controller was developed which enabled the dynamical system to reach the sliding surface within a predefined time. The total expected convergence time can be acquired through presetting two predefined-time parameters. The results demonstrated the feasibility of the proposed control method.
The dynamics and control of a multi-lingual rumor propagation model with non-smooth inhibition mechanism
Authors: Liao Jing , Wang Jinling , Li Jiarong , Jiang Xin
Published: March 2024

In this paper, the dynamic behaviors and control strategies of a rumor propagation model are studied in multi-lingual environment. First, an S2E2I2R rumor propagation model is proposed, which incorporates a non-smooth inhibition mechanism. Meanwhile, the existence and stability of the equilibrium are analyzed, grounded in the spreader threshold of the government intervention. Finally, the optimal control and the event-triggered impulsive control strategies are proposed to mitigate the spread of rumors, and the comparison of their effectiveness is further presented by the numerical simulation and a practical case.
Machine Learning Techniques to Predict the Inputs in Symmetric Encryption Algorithm
Authors: Sivasakthi M. , Meenakshi A.
Published: March 2024

Applying machine learning algorithms for encryption problems is reasonable in today's research connecting with cryptography. Using an encryption standard such as DES can give insight into how machine learning can help in breaking the encryption standards. The inspiration for this chapter is to use machine learning to reverse engineer hash functions. Hash functions are supposed to be tough to reverse one-way functions. The hash function will be learned by machine learning algorithm with a probability of more than 50%, which means the can develop their guesstimate of the reverse. This is concluded by executing the DES symmetric encryption function to generate N numerous values of DES with a set key and the machine learning algorithm is trained on a neural network to identify the first bit of the input based on the value of the function's output. Testing has ended through a new table, which was created similarly but with different inputs. The SVM runs on the new table, and it compares to the other table, and a confusion matrix is used to measure the excellence of the guesstimates.
Securing the IoT System of Smart Cities by Interactive Layered Neuro-Fuzzy Inference Network Classifier With Asymmetric Cryptography
Authors: Prakash B. , Saravanan P. , Bibin Christopher V. , Saranya A. , Kirubanantham P.
Published: March 2024

Smart environments (SE) aim to improve daily comfort in the form of the internet of things (IoT). It starts many everyday services due to its stable and easy-to-use operations. Any real-world SE based on IoT architecture prioritises privacy and security. Internet of things systems are vulnerable to security flaws, affecting SE applications. To identify attacks on IoT smart cities, an IDS based on an iterative layered neuro-fuzzy inference network (ILNFIN) is presented. Initially the TON-IoT dataset was preprocessed, and the sparse wrapper head selection approach isolates attack-related features. The Iterative stacking neuro-fuzzy inference network classifies attacked data from the normal data. The asymmetric prime chaotic Rivest Shamir Adleman technique ensures the secure transmission of non-attacked data. To show the effectiveness of the suggested secure data transfer techniques, the authors compare their experimental results to existing approaches.
A Secure Image Protection for IoT Applications Using Watermarking Technique and Non-Linear Henon Chaos
Authors: Rajendran Sujarani , Doraipandian Manivannan
Published: March 2024

In the digital IoT world, image watermarking has been determined as a solution of copyright problems and protecting the sensitive images from unauthorized access. A novel invisible watermarking technique which is secure against unapproved extraction of watermark and strong against different attacks has been proposed. Chaos-based image watermarking provides higher security than the traditional methodology. The proposed chaos-based watermarking involves three phases. In the first phase, a two-dimensional Henon chaos map is utilized to generate the chaotic series which act as keys for embedding the watermark. Before embedding the watermark, the image is encrypted by using Zig-Zag confusion process, and then in the last phase, the watermark image is converted into quaternary sequence, and by using random key of Henon map, each bit is embedded in the original image. The proposed model is applicable for both greyscale and colour images. Different performance analysis such as PSNR, SSIM will be used to identify the strength and quality of the proposed watermarking technique.
Healthcare Monitoring and Analysis Using ThingSpeak IoT Platform
Authors: Sivabalaselvamani D. , Nanthini K. , Nagaraj Bharath Kumar , Gokul Kannan K. H. , Hariharan K. , Mallingeshwaran M.
Published: March 2024

Health monitoring systems are designed to transform patient care by providing continuous monitoring and remote capabilities. Traditional healthcare often lacks constant monitoring, which can lead to delays in identifying issues. Wearable sensors, such as heart rate and eye blink sensors, collect real-time data that is transmitted to the cloud-based ThingSpeak platform. Non-intrusive eyeblink sensors aid in diagnosing conditions like dry eye syndrome, blepharospasm, and Parkinson's disease. Remote monitoring enables healthcare professionals to offer timely interventions with customizable alerts. IoT technology reduces hospital visits for chronic patients, potentially improving outcomes and reducing complications. The primary goal is to ensure seamless sensor connectivity to ThingSpeak, allowing users to access data from laptops and mobile devices. By empowering patients to actively manage their health, this system enhances health monitoring capabilities, paving the way for a more patient-centric and efficient healthcare landscape.
Diabetes Prediction Model Using Stochastic Gradient Descent Logistic Regression Approach
Authors: Sumathi A. , Meganathan S.
Published: March 2024

Diabetes is a chronic disorder caused by either inadequate insulin production by the pancreas or inadequate insulin absorption by the body. Many machine learning approaches handle a wide range of chronic conditions and keep track of patient health data. The analysis of medical data from various angles and the creation of knowledge from it can be accomplished using a variety of machine learning techniques. Creating new features by combining two or more features can provide more insights for health-related data. It aids in revealing a data set's hidden relationships. This work implements LR, RFECV-LR, and RFECV-SGDLR for comparison purposes and comes with the best suitable classification model. Further, this work suggests an IoT-based diabetes model that can also record information about their location, body temperature, and blood glucose levels and can help patients live healthier lifestyles by tracking their activities and diets.
IoT's Role in Smart Manufacturing Transformation for Enhanced Household Product Quality
Authors: Ali Md Nasir , Senthil T. S. , Ilakkiya T. , Hasan Dler Salih , Ganapathy N. Bala Sundara , Boopathi Sampath
Published: March 2024

The convergence of the internet of things (IoT) and smart manufacturing technologies has revolutionized the way household products are designed, manufactured, and maintained. This chapter explores the pivotal role of IoT in the transformation of smart manufacturing processes to enhance household product quality. It delves into the various facets of this transformative journey, including data-driven insights, predictive maintenance, product customization, and sustainability. By harnessing the power of IoT, manufacturers can streamline operations, reduce costs, and ultimately deliver higher-quality household products that meet the evolving demands of consumers.
Visual Speech Recognition by Lip Reading Using Deep Learning
Authors: Prakash V. , Bhavani R. , Karthik Durga , Rajalakshmi D. , Rajeswari N. , Martinaa M.
Published: March 2024

By using image processing techniques, visual voice recognition (VSR) is able to extract voice or textual data from facial features. Similar to speech recognition systems, lip reading (LR) systems encounter issues because of variations in facial characteristics, speaking rates, skin tones, and pronunciations. An audio speech recognition system can be synchronised with the LR systems. The lip movement data, also known as lip characteristics or visemes, were obtained from the input video clip that was saved in the cloud. It takes each frame's lip features and stores them. Furthermore, training using a varied number of frames prevents a training dataset from yielding suitable text matches. Two parts make up the system: a feature extraction approach that turns lip characteristics into a visual feature cube and a Conv3D algorithm that matches words to their associated visemes. Precision is found in around 89% of the words. As a result, the 3D-CNN for the MIRACL-VC1 dataset performs better and offers increased classification accuracy when compared to the prior system.
An Epitome Shift in Consumer Experience
Authors: Kiruthiga V. , Catherine S.
Published: March 2024

The retail industry is just one of several sectors affected by the fast-developing metaverse, a virtual reality environment that combines the real world and the internet. The immersive and interactive experiences that the metaverse introduces reshape the conventional shopping environment. In summary, the metaverse is bringing about a new age for the retail sector and changing both how consumers purchase and how retailers run their businesses. A successful and long-lasting integration of the metaverse in the retail sector requires careful evaluation of the ethical and practical ramifications. Adopting these technical breakthroughs can put merchants at the forefront of the changing consumer landscape.
Retail Supply Chain Management
Authors: Govindaraj Manoj , Gnanasekaran Chandramowleeswaran , Krishnan Ravishankar , Khan Parvez , Hoang Sinh Duc
Published: March 2024

In the dynamic landscape of the Indian retail industry, the seamless functioning of the supply chain is paramount to ensuring product availability and minimizing out-of-stock incidents. The flexibility of the supply chain is essential to effectively address challenges within the food supply chain. This research delves into the complexities and challenges faced by retailers in India as they strive to manage their supply chains effectively and ensure a consistent flow of products to meet consumer demands. The objective of this study is to comprehensively analyze the practices, strategies, and technologies employed by retailers in India to enhance supply chain management, ultimately reducing out-of-stock incidents. With the rapid growth of e-commerce and changing consumer expectations, retailers face mounting pressure to optimize their supply chains to remain competitive and maintain customer satisfaction. The study contributes to the ongoing dialogue on the role of supply chain management in ensuring the success and sustainability of retail businesses in India's rapidly evolving market.
Role of the Digital India Movement to Incorporate the Digital Technologies in the Indian System
Authors: Rai Jaskirat Singh , Goyal Megha
Published: March 2024

The objective of this study was to investigate the substantial influence of artificial intelligence (AI) on the adoption of digital technologies in India, with a specific focus on the post-Digital India Movement era. This study examines the various manners in which artificial intelligence (AI) technology has facilitated advancements in multiple programmatic domains. The utilization of artificial intelligence (AI) has facilitated financial inclusion, enhanced accessibility to healthcare and education, and contributed to the broader socioeconomic progress of India by ways of decentralization and international cooperation. This study also examines the challenges and ethical concerns associated with the utilization of artificial intelligence within the framework of digital technology adoption in India. The findings of this study illustrate the capacity of artificial intelligence (AI) to expedite the realization of Digital India's goals.
Reinventing Influence of Artificial Intelligence (AI) on Digital Consumer Lensing Transforming Consumer Recommendation Model
Authors: Singh Bhupinder , Kaunert Christian , Vig Komal
Published: March 2024

The rapid evolution of artificial intelligence (AI) has ushered in a transformative era in the digital consumer landscape. In the digital era, the symbiotic relationship between technology and consumer behavior has undergone a seismic shift, with artificial intelligence (AI) emerging as a transformative force in shaping the digital consumer experience. At this paradigm shift lies the intricate interplay between AI and consumer recommendation models, which have evolved from rudimentary algorithms to sophisticated systems capable of personalization and tailored engagement. This chapter delves into the intricate interplay between AI and digital consumers, focusing specifically on the profound influence of AI in reshaping consumer recommendation models and, consequently, molding consumer shopping decisions. The study is driven by the overarching objective of comprehensively understanding the impact of AI on the decision-making processes of contemporary consumers in the digital realm.
Consumer Preferences for Plant-Based Herbal Tea
Authors: Mallik D. M. Arvind
Published: March 2024

In the post-pandemic era, consumers are increasingly opting for healthier and sustainable beverage choices, particularly natural plant-based herbal teas. Areca tea has gained significant popularity in this context. A study involving 150 consumers, with a focus on gender equality, explores the factors influencing choices around Areca tea. Using the VALS framework, the research identifies distinct psychographic profiles, shedding light on values, attitudes, and motivations. The findings highlight that Areca tea, as a plant-based herbal beverage, not only meets evolving demands for health and sustainability but also offers potential health benefits. This research provides valuable insights for marketers and policymakers, aiding in targeted strategies and effective product positioning in the post-pandemic landscape. The study's uniqueness lies in its application of the VALS framework, enriching our understanding of evolving consumer preferences in the contemporary beverage market.
An Analysis of AI in Healthcare
Authors: Dilip R. , Deepti V. , Mahadev S. , Tejashwini N. , Muthugurunathan G. , Manasa  , Pramanik Sabyasachi
Published: March 2024

Building computer devices and systems that can demonstrate learning, reasoning, and decision-making skills similar to those often associated with human intelligence is the focus of the field of artificial intelligence. It also includes working with data sets larger than what the human mind can process. A variety of academic disciplines, including computer science, data analytics, statistics, hardware and software engineering, languages, neuroscience, philosophy, and psychology, are all included in the interdisciplinary area of artificial intelligence. The development of artificial intelligence is increasingly taking centre stage in many countries' governmental agendas. Policymakers are primarily concerned with the application of artificial intelligence to social welfare, legal framework creation, economic consequences, implications for global security, and equity issues, among other things. Artificial intelligence has been the main driver of recent large and rapid breakthroughs in the technological area.
Polymeric Energy Harvesting Materials
Authors: Roy Rupayan , Ashmika R. , Chakraborty Apromita
Published: March 2024

This chapter provides a thorough overview of polymeric energy harvesting materials with an emphasis on their critical function in the production of sustainable energy. It sets the tone for the chapter by underlining the importance of polymeric materials in the context of energy harvesting and tracing the historical development of this sector. It explores the fundamentals of photovoltaic, mechanical, and thermal conversion as energy harvesting sources. The operating principles, uses, and most recent developments of a variety of polymeric energy harvesting technologies, including piezoelectric polymers, triboelectric nanogenerators, electroactive polymers, and photovoltaic polymers, are thoroughly examined. The chapter covers advanced developments, real-world applications, difficulties, sustainability issues, and emerging trends in addition to discussing key material attributes for energy harvesting. This thorough study offers insightful information on the present and projected state of polymeric energy harvesting materials.
Multiferroic Marvels Paving the Way for Energy Harvesting
Authors: Mangaiyarkkarasi J. , Shanthalakshmi Revathy J.
Published: March 2024

This chapter explores the revolutionary realm of multiferroic materials, focusing on their dual ferroelectric and ferromagnetic properties and their pivotal role in energy harvesting. It classifies key materials, including Bismuth Ferrite and Gadolinium Manganite, highlighting their suitability for energy conversion. The intricate mechanisms of multiferroicity, encompassing piezoelectric and magnetoelectric effects, are unveiled. Examining different phases, such as ferroelectric and ferromagnetic, illuminates their multifunctional behavior. Advanced characterization techniques, like X-ray diffraction, are crucial for harnessing these materials. Various energy harvesting mechanisms, such as piezoelectric and thermoelectric, are explored, emphasizing multiferroics' versatility. Applications, challenges, and future directions, including enhanced efficiency and integration into flexible devices, are discussed. In conclusion, this chapter provides a comprehensive exploration of multiferroic materials, showcasing their potential to revolutionize energy harvesting for a sustainable future.
Multiferroic Magnetoelectric Materials, Mechanism, Classification, and Applications
Authors: Fadiel Ali F. A. , Saad Osama. S. R.
Published: March 2024

Materials science and solid-state physics have significantly influenced economic growth and development, leading to the development of computer technologies, wireless communications, and consumer electronics. Emerging fields like nanomaterials, graphene, carbon nanotubes, smart functional materials, spintronic materials, biomaterials, and multiferroic materials have the potential to create new technological breakthroughs and economic impact. These multifunctional solid-state compounds address diverse and multidisciplinary technologies, with multiferroic technologies expected to be valued at billions of dollars in the future.
Unleashing the Power of Industry 4.0 Technologies for Energy Harvesting
Authors: Laturkar Kasturi , Laturkar Kaustubh
Published: March 2024

Using Industry 4.0 technologies in energy harvesting has ushered in a transformative era, which has revolutionized the ways in which industries generate, consume, and store energy. The energy sector is experiencing a paradigm shift characterized by the seamless convergence of cyber-physical systems, the internet of things (IoT), big data analytics, and artificial intelligence in a way that has never been experienced before. There is no doubt that 4.0 technologies have a pivotal role to play in enhancing the output, efficiency, reliability, and sustainability of energy harvesting processes. In order to minimize downtime and maximize energy yield, artificial intelligence algorithms contribute to predictive maintenance strategies. A new generation of autonomous, self-optimizing systems is on the verge of being developed thanks to the synergistic effects between Industry 4.0 and energy harvesting.
Towards a Sustainable Triad
Authors: Kaur Jaspreet
Published: March 2024

This chapter delves into the concept of a “sustainable triad,” which synergistically combines energy management systems (EMS), smart cities, and green healthcare initiatives to address the environmental challenges faced by urban centers. Firstly, the chapter explores the significance of EMS in optimizing energy consumption and reducing carbon footprints within various industries. By integrating EMS, healthcare institutions can efficiently monitor and control energy usage, identify areas of inefficiency, and adopt renewable energy sources, thus contributing to greener practices. Secondly, this chapter delves into the role of smart cities in promoting sustainable urban development. By harnessing cutting-edge technologies such as the internet of things (IoT) and artificial intelligence, smart cities can optimize energy distribution, transportation, and infrastructure.
The Power of Cross-Functional Collaboration and Market Knowledge Integration to Achieve Competitive Advantages in the Automobile Sector
Authors: Chavan Lochan , Jindal Priya
Published: March 2024

The automotive industry is often regarded as a crucial pillar of the economy in several developed countries. Manufacturers are required to identify and implement strategies aimed at enhancing product quality, enhancing the adaptability of their production facilities, optimizing supply chain networks, managing technical intricacies and variations, and sustaining competitiveness in both developed and emerging nations. This chapter provides insights into the method of collaboration, enhances the utilization of essential automotive technology, and reinforces the fundamental competencies of a manufacturer. Additionally, this emphasizes the crucial roles that cross-functional collaboration and market knowledge integration play in industrial applications as a means to gain competitive advantages. This study highlights the necessity of embracing innovation adoption within the automobile industry to attain competitive advantages and establish sustainable mobility.
A Review Study on the Challenges and Opportunities in Implementing the Metaverse in Healthcare
Authors: Mishra Neha , Mishra Krishna Kumar
Published: March 2024

Recently, metaverse technology has drawn considerable attention in the healthcare industry as a result of multifold technological advancements in the last decade. Metaverse is likely to have a significant impact on our digital lives in the near future by enhancing our interactions, and our working and playing habits. However, it poses a variety of challenges that require special attention and proactive action to be taken. In this study, the authors examine the challenges and opportunities associated with implementing metaverse solutions in Asian healthcare systems. These include infrastructure, cultural considerations, regulatory frameworks, and privacy concerns. These are among the critical factors affecting metaverse solutions development in these systems. China, Bangladesh and Japan. Japan has the highest market size per user in terms of average market size, which was 219.2 dollars in 2022 and will increase to 632.2 dollars in 2030. This study provides essential insights about the metaverse's deployment, acceptance by the young generation, and future recommendations.