Smart Technologies Research Articles

Creating Engaging Chatbot Experiences by Tailoring Personalities in Text-Based Interactions

Our expressive AI software is driven by creativity fused with technology. This transformative platform allows users to generate various content easily and augment their creative capacities. Through the merger of modern human-computer interaction artificial intelligence tools, people and artificial intelligent work together to come up with creative innovations. Our goal is not only about generating content but also creating avatars that have memories to foster active involvement. Expressive AI introduces digital companions with distinct personas, which enhance interactions while offering innovative ideas. Such a journey does not just change the digital content creation field. it also demonstrates how people and smart technologies can work together and create what had never been expected in terms of intelligent creativity.

A laser-Engraved Wearable Electrochemical Sensing Patch for Heat Stress Precise Individual Management of Horse.

In point-of-care diagnostics, the continuous monitoring of sweat constituents provides a window into individual's physiological state. For species like horses, with abundant sweat glands, sweat composition can serve as an early health indicator. Considering the salience of such metrics in the domain of high-value animal breeding, a sophisticated wearable sensor patch tailored is introduced for the dynamic assessment of equine sweat, offering insights into pH, potassium ion (K+), and temperature profiles during episodes of heat stress and under normal physiological conditions. The device integrates a laser-engraved graphene (LEG)sensing electrode array, a non-invasive iontophoretic module for stimulated sweat secretion, an adaptable signal processing unit, and an embedded wireless communication framework. Profiting from an admirable Truth Table capable of logical evaluation, the integrated system enabled the early and timely assessment for heat stress, with high accuracy, stability, and reproducibility. The sensor patch has been calibrated to align with the unique dermal and physiological contours of equine anatomy, thereby augmenting its applicability in practical settings. This real-time analysis tool for equine perspiration stands to revolutionize personalized health management approaches for high-value animals, marking a significant stride in the integration of smart technologies within the agricultural sector.

Smart Restaurant Using 3D Holographic Projection Menu and Waiter Robot

This project aims to construct an inventive 3D holographic restaurant system by integrating cutting-edge technology such as Raspberry Pi, LCD monitor, L298N motor driver, keyboard, speaker, DC motor, ESP8266, and IR sensor. The system incorporates a robotic waiter equipped with a holographic display, capable of interacting with customers, taking orders, and serving food. The robot navigates between three tables, displaying holographic menus and confirming orders through a keypad. The system aims to revolutionize the dining experience by combining robotics, holography, and smart technology for an engaging and futuristic restaurant environment. This paper explores the innovative integration of advanced technologies, specifically 3D holographic projection menus and waiter robots, to create a smart restaurant aimed at revolutionizing the traditional dining experience. The incorporation of these cutting-edge technologies offers a unique and immersive approach to menu visualization and customer service. Keyword: 3D Holographic Projection, Robotics, Smart technology, Customer engagement.

Recent trends in reduction of hand arm vibration syndrome for agricultural handheld equipment: A review based on challenges and future directions

A major occupational health risk in the agricultural industry is Hand Arm Vibration Syndrome (HAVS), which is brought on by exposure to vibration from handled machinery. This review thoroughly covers the historical background and prevalence of HAVS in agriculture, highlighting the harm it does to the health and productivity of workers. The goal is to solve the research deficit in this area by concentrating on vibration isolation and dampening approaches. The paper comprehensively examines measurement methods, such as accelerometer-based approaches, strain gauge and force plate methods, wireless sensor networks, for evaluating vibrations related to HAVS. These methods are compared in order to clarify their advantages and disadvantages. Furthermore, engineering controls, isolation mounts, dampers, and smart technologies are included in the categories of shock and vibration reduction solutions based on their efficiency and application. Also covered are human factors that affect vibration reduction. The difficulties in putting reduction strategies into practice are underlined. These difficulties include economic considerations, technological limitations, and user approval. In order to draw useful conclusions, case studies demonstrating effective vibration reduction methods in agricultural contexts are provided. Future directions for reducing HAVS in agriculture include interdisciplinary research opportunities, developing technologies for vibration reduction, and a global approach. This review concludes by highlighting the importance of tackling HAVS, providing insights into real-world applications, and suggesting future research initiatives.

Smart Anklet Use to Measure Vascular Health Benefits of Preventive Intervention in a Nature-Based Environment—A Pilot Study

The present study aimed to investigate the associations between nature-based intervention and peripheral pulse characteristics of patients with PAOD using new smart technology specifically designed for this purpose. A longitudinal panel study performed between 1 January 2022 and 31 December 2022 included 32 patients diagnosed with peripheral arterial occlusive disease (PAOD) who were treated in the vascular surgeons’ hospital “Dobb” in Valjevo. These patients were exposed for six months to moderate-intensity physical activity (MPA) in a nature-based environment. They practiced 150 to 300 min of walking 6 km/h and cycling activities (16–20 km/h) weekly as recommended for patients with chronic conditions and those living with disability. Univariate logistic regression analysis was used to identify factors associated with major improvements in peripheral pulse characteristics of patients with PAOD. After six months of MPA, half of the patients (50%, 16/32) achieved minor, and half of them major improvements in peripheral pulse characteristics. The major improvements were associated with current smoking (OR = 9.53; 95%CI = 1.85–49.20), diabetes (OR = 4.84; 95%CI = 1.09–21.58) and cardiac failure, and concurrent pulmonary disease and diabetes (OR = 2.03; 95%CI = 1.01–4.11). Our pilot study showed that patients with PAOD along with other chronic conditions and risk factors benefited more from continuous physical activity in a nature-based environment.

Innovative travel experiences: discovering smart tourism in Uruguay's Punta del Este

This article aims to measure the concept of smart tourist destinations in Punta del Este and propose a conceptual research model to analyze the integration of smart technologies in the tourism context of the region. The research methodology is quantitative, and descriptive in 5 dimensions: a) information; b) accessibility; c) interactivity; d) personalization, and lastly e) security. The type of sampling is convenience. The data collection period was from March to December 2023, 774 cases were collected and answered by Brazilian tourists through a survey with 20 variables and a 5-point Likert scale. The evaluation for each dimension was on average: information with 3.5, accessibility with 3.27, interactivity with 3.18, personalization with 3.14, and security with 3.5. In tourism, smart technologies have caused significant changes, revolutionizing businesses, products, and tourism experiences. Information and Communication Technologies (ICTs) play a crucial role in the development of smart tourism by providing a convenient, user-friendly, and personalized travel experience. The DTI Punta Del Este Framework is an academic approach that aims to improve the visitor experience by offering accurate and personalized information, optimizing business operations, and attracting new visitors, increasing the competitiveness of the sector.

HOME AUTOMATION SYSTEM

The project presents the development of an advanced home automation system aimed at revolutionizing residential living through smart technologies. Leveraging Internet of Things (IoT) principles, the system integrates various sensors, actuators, and communication protocols to enable remote monitoring and control of home appliances and devices. Through a user-friendly interface accessible via mobile or web platforms, homeowners can effortlessly manage their home environment, ensuring convenience, security, and energy efficiency. The project emphasizes scalability and interoperability, paving the way for future expansion and integration with emerging smart technologies. Key Words: Home Automation System, Internet of Things (IOT), Sensors, Actuators, Remote Monitoring

Therapeutic potential and impact of nanoengineered patient‐derived mesenchymal stem cells in a murine resection and recurrence model of human glioblastoma

AbstractConfounding results of engineered mesenchymal stem cells (MSCs) used as cellular vehicles has plagued technologies whereby success or failure of novel approaches may be dismissed or inaccurately ascribed solely to the biotechnology platform rather than suitability of the human donor. Polymeric materials were screened for non‐viral engineering of MSCs from multiple human donors to deliver bone morphogenic protein‐4 (BMP4), a protein previously investigated in clinical trials for glioblastoma (GBM) to combat a subpopulation of highly invasive and tumorigenic clones. A “smart technology” that target the migratory and stem‐like nature of GBM will require: (1) a cellular vehicle (MSC) which can scavenge and target residual cells left behind after surgical debulking and deliver; (2) anti‐glioma cargo (BMP4). Multiple MSC donors are safely engineered, though varied in susceptibility to accept BMP4 due to intrinsic characteristics revealed by their molecular signatures. Efficiency is compared via secretion, downstream signaling, differentiation, and anti‐proliferative properties across all donors. In a clinically relevant resection and recurrence model of patient‐derived human GBM, we demonstrate that nanoengineered MSCs are not “donor agnostic” and efficacy is influenced by the inherent suitability of the MSC to the cargo. Therefore, donor profiles hold greater influence in determining downstream outcomes than the technical capabilities of the engineering technology.

AI- POWERED BASED BLIND AND VISUALLY IMPAIRED SYSTEM FOR SMART GLASS

Visual impairment causes serious problems in daily life and mobility for millions of people worldwide. Against this background, smart assistive technology is gaining momentum to improve the independence and quality of life of the blind and visually impaired. They have difficulty in daily life because they cannot detect the problems around them, and one of their biggest problems is identifying people. Besides automation, there are many unexplored uses of search engines. This project includes an app that uses search to help blind people see things in front of them safely, and a facial recognition system with visual feedback that can help visually impaired people see familiar and unfamiliar people. The speaker will provide them with sound support. In this work, we use deep learning-based Regional Convolutional Neural Network (Faster R-CNN) to detect and identify people and objects in the environment. Faster local convolutional neural network technology processes and distributes images captured by cameras. The operator takes the image as input. Therefore, this model helps visually impaired people in a simpler way than a white cane. Keywords—Visuallmpairment,Objectdetection,Faster Region Convolutional Neural Network.

Smart teaching versus hard teaching: Insights from instructors from old and new classrooms in Ghana

Smart learning environment (SLE) modules are rapidly expanding with the advancement of technology. However, the concept is still new to many educational institutions in developing countries, with scant studies conducted using the African context. To avoid being left behind in the steps towards modernization, the qualitative study proposes the need to migrate from a traditional learning environment (TLE) to a SLE. Thirty-eight (38) teachers in Ghana who transitioned from TLE to a SLE were recruited to explore their pedagogical experiences in instructing in TLE (old classrooms) and SLE (new classrooms). Generally, teachers favoured SLE compared to TLE. Teachers were motivated to instruct in smart schools because of the affordances of smart technologies. They considered the ambience created in SLE as conducive to promoting their psychological well-being, facilitating their professional development, fostering good assessment strategies, and building twenty-first-century skills in learners needed in the labour market. However, a majority of the teachers perceived self-regulation and social interactions to be more effective in TLE. The key challenges in the SLE included network lag, limited funds to purchase data bundles, malfunction of learning management systems (LMS), and difficulty in designing a Smart App tailored to instructors’ and students’ interests. It is recommended that school administrators and policymakers continually revise SLE frameworks for a successful smart education. Future researchers can investigate how to promote personalized and adaptive learning in SLE and promising tools to assist instructors in technology-enhanced learning environments.

Thermal management system for stable EV battery operation with composite phase change materials

Li-ion battery has been one of the cornerstone of the mobile era especially given the burst sales of Electrical vehicles (EV) which have eclipsed that of internal combustion engine vehicles over last decade. While extensive advances in smart production and technologies make it booming to the development of EV, there have been frequently reported fatal fire incidents originated from excessive thermal hazards of Li-ion batteries. In this paper, we developed a new Li-ion battery thermal management system, by making use of porous Aluminum structure as skeleton and Phase Change Materials (PCMs) as filler, to maintain its optimal operating temperature below 35 °C within a small tolerance range of ± 1 °C fluctuation by continuous heat absorption and heat release during the phase changes of the PCM. The thermal stress and energy consumption in the internal battery pack caused by temperature fluctuations can thus be reduced, ultimately sustaining the overall functional life span of the battery. We envision that our work will advance the operation of EV battery and incubate a versatile framework ranging from thermal management to battery assembly.

Consumer electronics based smart technologies for enhanced terahertz healthcare having an integration of split learning with medical imaging

The proposed work contains three major contribution, such as smart data collection, optimized training algorithm and integrating Bayesian approach with split learning to make privacy of the patent data. By integrating consumer electronics device such as wearable devices, and the Internet of Things (IoT) taking THz image, perform EM algorithm as training, used newly proposed slit learning method the technology promises enhanced imaging depth and improved tissue contrast, thereby enabling early and accurate disease detection the breast cancer disease. In our hybrid algorithm, the breast cancer model achieves an accuracy of 97.5 percent over 100 epochs, surpassing the less accurate old models which required a higher number of epochs, such as 165.

Climate change shocks and crop production: The foodgrain bowl of India as an example

Global warming is causing climate change (CC) characterized by increased frequency of heatwaves, droughts, erratic rains, hailstorms, cloudbursts, floods, landslides etc. The CC has already adversely affected ecosystems. In spite of efforts to mitigate greenhouse gas (GHG) emissions, which lead to warming, the global temperature during 2011–20 was 1.1°C above that during pre-industrial era. The projections are that warming will continue to increase and adverse effects will intensify particularly in developing countries like India. In India a number of studies have recorded wide spatial variability in rainfall, though, many reported a general overall negative trend since mid-20th century. Further, varying pattern of rainfall has been recorded in three agroclimatic regions of Punjab state, the granary of India. Unseasonal rains followed by spiked temperature during winter (rabi) season of 2021–22 reduced wheat (Triticum aestivum L.) yield in Punjab by 651 kg/ha and by 301 kg/ha in Haryana compared to 2020–21. Further, the grain was of lower quality. During rainy (kharif) season of 2022, Southern Rice Black-streaked Dwarf Virus (SRBSDV), appeared for the first time in Punjab and Haryana. Some farmers ploughed the affected fields. Adverse weather during rabi 2022–23 also, reduced the wheat yield (143–150 kg/ha) in these states. At the national level, erratic weather during rabi 2021–22 and kharif 2022 caused losses of about 3 mt of grain of each of wheat and rice (Oryza sativa L.). The projected increased adverse effects due to intensified CC include food insecurity. Thus, there is an emergent need to accelerate implementation of adaptation and mitigation strategies in agriculture. The adaptation options include cultivar improvement, conservation agriculture altering growing seasons, crop diversification and sustainable soil, and water resource management. In the process of adaptive management of crop production, adjusting sowing dates and breeding cultivars having varying duration in consonance with CC has been one of the central aspects. Shifting sowing dates to find appropriate crop cultivation season is a low-cost measure. However, cultivar development is time and resource consuming. Novel biotechnological tools enable fast cultivar development with precision, and facilitate mobilization of genes from wild-weedy relatives, which are rich in genes conferring resistance/tolerance to biotic and biotic stresses, required to combat CC challenge. In view of CC stress on water resources, improving water-use efficiency (WUE) has gained importance. Sensor-based micro-irrigation/fertigation has great potential to enhance water and fertilizer-use efficiency. Similarly, the application of other smart technologies like nanotechnology, sensor-based pesticide application, bio-fertilizers and bio-pesticides, need to be mobilised. In view of agro-ecological diversity in India, right-sized regionspecific technology packages have to be developed implying that crop research will expand exponentially. This needs strengthening of human resources and institutional infrastructure, expanding and linking basic and applied researches, and fortifying inter-disciplinary/inter-institutional collaborations to develop and diffuse technology innovations. Enabling factors include enhanced funding and international cooperation. All-out efforts are needed to have more climate-resilient agriculture.

Valuation of Internet of Energy (IoE) Platforms in Smart Cities: A Hybrid Multi-Criteria Decision Making Approach

A smart city is a place where people live using computing, sensing, and networking technology in a variety of ways, including smart buildings, smart homes, smart transportation, smart workplaces, smart offices, smart industries, and smart agriculture. These smart technologies need to connect so; we need to use the Internet of Things (IoT) that has applications in many areas of our smart lives. IoT has been used due to the growing usage of renewable energy sources and the challenges of network management. Internet of Energy (IoE) integrates the IoT and smart grid capabilities. The basic role of smart grids or IoE is an essential element in creating smart cities. In this work, we present some IoE platforms that represent the alternatives and their criteria. The proposed study treats the uncertainty of multi-criteria decision-making (MCDM) modified by single value triangular neutrosophic number (SVTrN) by choosing the optimal IoE platform based on the criteria importance through inter-criteria correlation (CRITIC) method and multi-attributive ideal-real comparative analysis (MAIRCA). The proposed model proved its effectiveness by applying it to an experimental case. The results show that the DCC (A3) platform is the best one.

The Role of Digital Management and Smart Technologies for Sports Education in a Dynamic Environment: Employment, Green Growth, and Tourism

ABSTRACT Digitalization management, sports education, tourism and smart urban technologies are crucial for urban energy systems and environmental sustainability. Environmental sustainability is a critical global challenge, and countries emphasize combating the rising environmental issues. Undoubtedly, the globe has proposed several initiatives to address rising ecological matters, but the problem remains intact. This study shows a new pattern, including problems and vital solutions with fresh insights. Despite countries launching initiatives to combat environmental degradation (ED), ecological concerns continue to persist. Empirical research has considered income, urbanization, digitization, sports employment, tourism, and green energy as core sustainability determinants in selected European economies (2010–2021). Applying a series of estimators, we determined that income, urbanization, sports, and tourism are the leading causes of ED, while digitization and green energy contribute significantly to sustainable development. Additionally, digitization plays a significant mediating role in sustaining urban energy systems. The study offers helpful implications for achieving desired sustainability levels.

Biomechanical effects of men’s dress shoes made with bacterial cellulosic composite

PurposeThis study aimed to compare the performance of sustainable shoes made with bacterial cellulosic composite and commercial leather shoes using an experimental research design. The two specific research objectives were: (1) to examine the basic material properties of multi-layered bacterial cellulosic materials (MBC), which include green tea-based cellulosic (GBC) mats, hemp fabrics, and denim fabrics, in comparison with those of two-layered leathers (MCP) consisting of calf-skin and pig-skin – commonly used in shoe manufacturing; and (2) to explore wearers’ performance in the two types of shoes by assessing quantitative kinematic and kinetic parameters of lower body movements.Design/methodology/approachThis study focused on assessing the basic materials testing and performance of sustainable shoes through a biomechanical approach, in contrast to commercially available leather shoes, through human wear trials. In this study, green tea-based cellulosic (GBC) mats were developed using the optimal combination of ingredients for cellulose growth. Subsequently, the GBC, denim fabric (100% cotton), and 100% hemp fabric were combined to create multi-layered bacterial cellulosic materials (MBC) as an alternative to leather. Additionally, calf-skin and pig-skin leathers were utilized to produce a commercially available two-layered leather (MCP), commonly employed in shoe manufacturing. 37 of the 42 human subjects who participated in wear testing were collected. A paired t-test was conducted to determine whether significant mean differences existed between the two shoe types, a paired t-test was conducted.FindingsTo develop a biodegradable and compostable material that could be used as a leather alternative for the footwear industry, we proposed MBC and examined its properties compared with those of MCP, a product often used when making shoes. These findings confirmed the similar properties of MBC and MCP from the material testing and the possibility of using a men’s sustainable shoe prototype as a leather alternative, in terms of kinematics and kinetics.Practical implicationsThe new multi-layered bacterial cellulosic materials (MBC) could be an alternative to commercial leathers such as innovative sustainable material construction, advanced design, and advanced techniques to optimize the overall performance of sustainable footwear.Originality/valueInvestigating the integration of smart textile technologies, ergonomic design principles, and personalized customization will contribute to developing MBC and making sustainable shoes using MBC compared with commercial leather shoes. This study provides valuable insights into further refinement and innovation in the sustainable footwear industry.

Optimization of Wheelchair Control via Multi-Modal Integration: Combining Webcam and EEG

Even though Electric Powered Wheelchairs (EPWs) are a useful tool for meeting the needs of people with disabilities, some disabled people find it difficult to use regular EPWs that are joystick-controlled. Smart wheelchairs that use Brain–Computer Interface (BCI) technology present an efficient solution to this problem. This article presents a cutting-edge intelligent control wheelchair that is intended to improve user involvement and security. The suggested method combines facial expression analysis via a camera with EEG signal processing using the EMOTIV Insight EEG dataset. The system generates control commands by identifying specific EEG patterns linked to facial expressions such as eye blinking, winking left and right, and smiling. Simultaneously, the system uses computer vision algorithms and inertial measurements to analyze gaze direction in order to establish the user’s intended steering. The outcomes of the experiments prove that the proposed system is reliable and efficient in meeting the various requirements of people, presenting a positive development in the field of smart wheelchair technology.

Exploring Meta-Learning: Unveiling Progress and Obstacles - A Comprehensive Examination

Educational international organizations have forecasted a radical transformation in how students learn, the content they learn, and the requisite skills in the near future. The advent of smart technologies is poised to revolutionize learning conditions, ushering in opportunities for transformative learning experiences and fostering more conscious, self-directed, and self-motivated learning endeavors. Meta-learning encompasses a suite of cognitive meta-processes through which learners consciously construct and manage personal learning models. It involves a progression of meta-skills that evolve hierarchically, facilitating the attainment of advanced levels of comprehension termed meta-comprehension. This article delves into the concept of meta-learning and delineates the meta-levels of learning through the lens of metacognition. Additionally, it explores the potential of smart technologies to serve as fertile ground for implementing meta-learning training strategies. The findings of this study contribute to a novel theoretical framework for meta-learning, bolstered by smart devices capable of supporting future meta-learners, or more aptly, meta-thinkers, in transcending conventional realms of knowledge and ascending to higher meta-levels of human intelligence.

Exploring Meta-Learning: Unveiling Progress and Obstacles - A Comprehensive Examination

Educational international organizations have forecasted a radical transformation in how students learn, the content they learn, and the requisite skills in the near future. The advent of smart technologies is poised to revolutionize learning conditions, ushering in opportunities for transformative learning experiences and fostering more conscious, self-directed, and self-motivated learning endeavors. Meta-learning encompasses a suite of cognitive meta-processes through which learners consciously construct and manage personal learning models. It involves a progression of meta-skills that evolve hierarchically, facilitating the attainment of advanced levels of comprehension termed meta-comprehension. This article delves into the concept of meta-learning and delineates the meta-levels of learning through the lens of metacognition. Additionally, it explores the potential of smart technologies to serve as fertile ground for implementing meta-learning training strategies. The findings of this study contribute to a novel theoretical framework for meta-learning, bolstered by smart devices capable of supporting future meta-learners, or more aptly, meta-thinkers, in transcending conventional realms of knowledge and ascending to higher meta-levels of human intelligence.

The Impact of Smart Technologies on the Medicine 4.0 Transformation in the Context of the Technological Revolution

The article examines the impact of smart technologies on the transformation of healthcare 4.0 in the context of the technological revolution, which is defined by the introduction of telemedicine and mHealth, sensors and digital device technologies that have truly evolved in 4.0 and expanded, thanks to new technologies that have made wireless interaction between devices possible. The methodology includes the use of such methods as computer science, axiological, system analysis and synthesis, Agile method, as well as general philosophical methods, which allowed us to analyze the contradictory nature of the impact of smart technologies on the transformation of medicine 4.0. The article analyzes telemedicine and mHealth, which provide remote access and management of medical services. The directions of artificial intelligence and machine learning implementation that are changing the healthcare sector are identified. The place and role of the 3D printing industry for medical applications and nanotechnology are investigated. The essence of the Internet of Things (IoT) as a global network and technologies of interconnected devices and their application in the medical sector is clarified.