Smart Platform Research Articles

Mobility-enhanced delay-aware cloudlet movement and placement using cluster-based technique in a smart healthcare platform

Mobility-enhanced delay-aware cloudlet movement and placement using cluster-based technique in a smart healthcare platform

Feasibility of continuous smart health monitoring in pregnant population: A mixed-method approach.

The utilization of smart monitoring technology offers potential for enhancing health outcomes, yet its feasibility and acceptance among Hispanic pregnant individuals remain uncertain. This is particularly crucial to investigate within the context of apparently healthy individuals identified as low risk, who still face a 10% likelihood of complications. Given their frequent underrepresentation in healthcare services and relative lack of attention, improving the feasibility of remote monitoring in this population could yield significant benefits. To address this gap, our study aimed to adapt and evaluate the practicality of a smart monitoring platform among healthy Hispanic pregnant women during the second and third trimesters of pregnancy, as well as one week following childbirth, a period when complications often arise. This longitudinal study followed n = 16 participants for an average of 17 weeks. Participants were instructed to wear the Oura ring for objective data collection, including activity, sleep, and heart rate, and to complete survey questions through REDcap to assess mental health and lifestyle factors. The study framework utilized the RE-AIM approach, with acceptability and adherence as key components of the feasibility evaluation. Our findings revealed that completion rates for biweekly and monthly surveys remained consistently high until after childbirth (approximately 80%), while daily question completion remained above 80% until 38th week of gestation, declining thereafter. The wearing rate of the Oura ring remained consistently above 80% until the 35th gestational week, decreasing to around 31% postpartum. Participants cited barriers to wearing the ring during the postpartum period, including difficulties managing the newborn, forgetfulness, and concerns about scratching the baby's skin. The enrollment rate was 71.42%, with an attrition rate of 6.25%. Thematic analysis of one-on-one interviews identified three main themes: personal desire for health improvement, social acceptability and support, and conditions influencing device/platform efficiency. In conclusion, while adherence varied based on gestational week and survey frequency, the study demonstrated strong acceptability of the smart monitoring platform among the study population, indicated by the high enrollment rate. Qualitative insights underscored the significance of personal motivation, social support, and device/platform efficiency in enhancing patient engagement with digital health monitoring during pregnancy, offering valuable considerations for future healthcare interventions in this domain.

Research on Smart City Platform Construction Technology for Digital Twins

Abstract Urban digital twin is a key step to build a smart city, digital twin is an important application scenario for smart city platform, and the relationship between the two are both current research hotspots. In this paper, we will start from the demand of digital twin on smart city platform, study the architecture method and key technology of smart city platform, in this paper's platform construction method compared to the traditional construction method, reduces the difficulty of digital twin smart city construction, and also reduces the coupling degree between smart city platform modules, and use a smart city platform for engineering verification. Finally compared with the traditional smart platform construction techniques, the techniques in this paper are better than the traditional ones in terms of coupling, difficulty and cost. Through engineering verification and experimental results show that this paper on the digital twin-oriented smart city construction technology, the coupling degree of each module is the lowest, and in the development efficiency experiments, this paper by comparing with the traditional technology, the experimental development cycle compared to the traditional technology can be shortened by 61.7% of the development cycle, greatly reducing the development cost and improving the construction efficiency.

Comparative Analysis of Hadoop and Spark Performance for Real-time Big Data Smart Platforms Utilizing IoT Technology in Electrical Facilities

Comparative Analysis of Hadoop and Spark Performance for Real-time Big Data Smart Platforms Utilizing IoT Technology in Electrical Facilities

Smart platforming in automotive manufacturing for NetZero: Intelligentization, green technology, and innovation dynamics

Green technology innovation is integral to fostering sustainable economic development and environmental conservation. The application of smart product platform has emerged as a transformative force in shaping the trajectory of green technology innovation. Drawing on the foundation of knowledge theory and utilizing a sample of 1240 valid cases from listed Chinese automotive manufacturing enterprises between 2013 and 2022, this paper employs a mixed regression method to explore the relationship between smart product platform usage and green technology innovation. Additionally, it analyzes the mediating role of corporate innovation input in this relationship and the moderating effect of intelligentization level on the association between smart product platform usage and green technology innovation. The research reveals the following key findings: (1) Corporate smart product platform usage and innovation input significantly and positively drive green technology innovation. (2) Innovation input acts as a complete mediator in the relationship between smart product platform usage and green technology innovation. (3) Corporate intelligentization level positively moderates the relationship between smart product platform usage and innovation input. (4) Considering regional and ownership attribute disparities, the impact of smart product platform usage on green technology innovation is asymmetric. This study, as one of the few empirical examinations of the effects of smart product platform, enriches research in the areas of smart product platform and green technology innovation. The study, contributing to the empirical understanding of smart product platforms, offers valuable insights for automotive manufacturing enterprises to strategically leverage these platforms for advanced and flexible operations, aligning with the imperative of achieving global environmental goals such as NetZero. As indicated in COP28, the findings underscore the urgency of integrating smart technologies into the automotive industry to advance these crucial environmental objectives.

Influencing factors and realization paths for smart community construction in China.

The analysis of influencing factors serves as the cornerstone for the research on smart community construction. Drawing upon both field research and extensive literature study, this paper explores the influencing factors of China's smart community construction and its effective paths by taking 52 national pilot zones for community governance and service innovation in China as examples. In the constructed analytical framework of influencing factors, elements such as economic development, capital investment, information infrastructure, community governance, public support system, and smart platform are included. By the use of the qualitative comparative analysis (QCA) method, the results of the study show that community governance, public support system, and smart platform are necessary conditions for smart community construction, while economic development, capital investment and information infrastructure play a leading role in the four combined paths. Finally, this study provides a new perspective for theoretical research, a reference forgovernmental departments to make decisions, and experience for the construction of smart communities in other developing countries.

3D Cell Migration Chip (3DCM-Chip): A New Tool toward the Modeling of 3D Cellular Complex Systems.

3D hydrogel-based cell cultures provide models for studying cell behavior and can efficiently replicate the physiologic environment. Hydrogels can be tailored to mimic mechanical and biochemical properties of specific tissues and allow to produce gel-in-gel models. In this system, microspheres encapsulating cells are embedded in an outer hydrogel matrix, where cells are able to migrate. To enhance the efficiency of such studies, a lab-on-a-chip named 3D cell migration-chip (3DCM-chip) is designed, which offers substantial advantages over traditional methods. 3DCM-chip facilitates the analysis of biochemical and physical stimuli effects on cell migration/invasion in different cell types, including stem, normal, and tumor cells. 3DCM-chip provides a smart platform for developing more complex cell co-cultures systems. Herein the impact of human fibroblasts on MDA-MB 231 breast cancer cells' invasiveness is investigated. Moreover, how the presence of different cellular lines, including mesenchymal stem cells, normal human dermal fibroblasts, and human umbilical vein endothelial cells, affects the invasive behavior of cancer cells is investigated using 3DCM-chip. Therefore, predictive tumoroid models with a more complex network of interactions between cells and microenvironment are here produced. 3DCM-chip moves closer to the creation of in vitro systems that can potentially replicate key aspects of the physiological tumor microenvironment.

Smart medical English pedagogy on a smart teaching platform

The widespread adoption of smart mobile devices has sparked significant innovations in China's smart education landscape in recent years. Smart teaching platforms play a pivotal role in shaping the dynamics of smart teaching. This study aimed to enhance medical English pedagogy by implementing smart teaching on the smart teaching platform (Xuexitong). The researchers divided their 178 nursing-majored students into two control classes and two experimental classes to evaluate the effectiveness of smart teaching. Traditional classroom instruction was adopted in the control classes while smart pedagogy was applied in the experimental classes. After a semester-long teaching experiment, two assessments were conducted: a comparison of exam scores and a course feedback survey. The findings revealed that students in the experimental classes significantly outperformed the control group in these two assessments. This highlights the substantial effectiveness of smart medical English pedagogy demonstrating its ability to enhance students' language proficiency and comprehension in medical contexts far beyond traditional teaching methods. The study concluded that smart teaching can significantly improve teaching outcomes and facilitate pedagogical innovations among new technological advancements. These insights offer valuable guidance for future research to enhance the integration of smart mobile technologies with smart language pedagogy.

Synbiotic encapsulation against Vibrio parahaemolyticus infection in whiteleg shrimps

Vibrio parahaemolyticus is a severe pathogenic bacterium which causes significant mortality and economical loss in shrimp farming. To control vibriosis in whiteleg shrimps (Litopenaeus vannamei), we developed synbiotic beads by microencapsulating probiotic of Lactobacillus plantarum and prebiotic of xanthan gum in agarose matrix through emulsion technique. Coculture method indicated that synbiotic beads reduce viability of Vibrio parahaemolyticus by 3 orders of magnitude. The high inhibitory activity of synbiotic beads against pathogen could result from the antibacterial substances secreted from encapsulated probiotics, and access blocking of pathogens to prebiotics as food source so that the encapsulated prebiotics solely stimulate nearby probiotic growth without boosting pathogen growth. Bacterial challenge test indicated that exposure to synbiotic beads in advance can delay mortality and increase shrimp survival from 10% to 57%. As a smart encapsulation platform, our design can be extended to various probiotics, prebiotics, and pathogens, thus providing an alternative strategy to the use of antibiotics for disease prevention and sustainable aquaculture.

EDUPERES and GAMERES: A smart interactive education platform and digital gamification for basic circuit analysis

AbstractThis paper introduces Education Platform for Equivalent Resistance (EDUPERES) and Gamification of Equivalent Resistance (GAMERES), two different parts of a new computer aided education platform with interactive and imaginative design and game elements, which have been created during 4 years. In Vocational School of Transportation of Eskişehir Technical University, electrical circuit analysis is a compact course which exhaustively yet quickly covers all the DC and AC circuit concepts. During the course, it is observed that some students have difficulties in some basic capabilities such as calculation of equivalent resistance of either a standard or a compact circuit, dividing currents, and so on. More sadly, this inability spreads to the rest of the semester. This study aims to overcome this issue through a smart interactive education platform and gamification. The first part, that is, EDUPERES visualizes and animates the solutions of electrical circuits. To make the students exercise circuit questions, it provides an interface which simulates the comfort of using paper and pencil. This platform is powered by a smart algorithm to watch almost all of the actions of the students and to give prompt warnings. It allows students to transform the shapes of compact circuits during circuit reduction. The second part, that is, GAMERES imaginatively converts the circuit questions into action, competition, shooter, puzzle, and maze games. Via box plots and Mann–Whitney–Wilcoxon nonparametric tests, it is shown that EDUPERES and GAMERES can significantly increase students' learning. The success of EDUPERES and GAMERES is discussed with regard to previous studies and gamers' motivations.

Nanoscale potassium sensing based on valinomycin-anchored fluorescent gold nanoclusters.

Gold nanoclusters are a smart platform for sensing potassium ions (K+). They have been synthesized using bovine serum albumin (BSA) and valinomycin (Val) to protect and cap the nanoclusters. The nanoclusters (Val-AuNCs) produced have a red emission at 616nm under excitation with 470nm. In the presence of K+, the valinomycin polar groups switch to the molecule's interior by complexing with K+, forming a bracelet structure, and being surrounded by the hydrophobic exterior conformation. This structure allows a proposed fluorometric method for detecting K+ by switching between the Val-AuNCs' hydrophilicity and hydrophobicity, which induces the aggregation of gold nanoclusters. As a result, significant quenching is seen in fluorescence after adding K+. The quenching in fluorescence in the presence of K+ is attributed to the aggregation mechanism. This sensing technique provides a highly precise and selective sensing method for K+ in the range 0.78 to 8µM with LOD equal to 233nM. The selectivity of Val-AuNCs toward K+ ions was investigated compared to other ions. Furthermore, the Val-AuNCs have novel possibilities as favorable sensor candidates for various imaging applications. Our detection technique was validated by determining K+ ions in postmortem vitreous humor samples, which yielded promising results.

Smart and Resilient Mobility Services Platform for Managing Traffic Disruptive Events

This article aims to develop a smart mobility solution to enhance the travel experience of individuals facing traffic disruptive events. Unlike prior research focusing on isolated solutions for managing these events, this study takes a holistic approach combining real-time monitoring, predictive modeling, route guidance, and effective communication to create efficient traffic disruption management. The study introduces the Smart and Resilient Mobility Services Platform (SRMS), specifically designed to address mobility restrictions as a form of disruptive events in the Palestinian territories, West Bank. SRMS empowers users to make well-informed decisions by providing services such as real-time mapping of mobility restrictions, a prompt notification system, informal route mapping, and alternative path suggestions. Moreover, it aims to enhance engagement among travelers and citizens by adopting spatial crowdsourcing as the primary data source for potential restrictions and embracing the User-Centered Design (UCD) approach to enrich users’ interaction with the developed solution. The methodology involves presenting the architectural layering system of the SRMS platform, and detailing the prototyping and design development considering the UCD approach. Results present the practical implementation of the SRMS tailored to the Palestinian context and adopted UCD.

Single-Cell Oral Delivery Platform for Enhanced Acid Resistance and Intestinal Adhesion.

Oral delivery of cells, such as probiotics and vaccines, has proved to be inefficient since cells are generally damaged in an acidic stomach prior to arrival at the intestine to exert their health benefits. In addition, short retention in the intestine is another obstacle which affects inefficiency. To overcome these obstacles, a cell-in-shell structure was designed with pH-responsive and mucoadhesive properties. The pH-responsive shell consisting of three cationic layers of chitosan and three anionic layers of trans-cinnamic acid (t-CA) was made via layer-by-layer (LbL) assembly. t-CA layers are hydrophobic and impermeable to protons in acid, thus enhancing cell gastric resistance in the stomach, while chitosan layers endow strong interaction between the cell surface and the mucosal wall which facilitates cell mucoadhesion in the intestine. Two model cells, probiotic L. rhamnosus GG and dead Streptococcus iniae, which serve as inactivated whole-cell vaccine were chosen to test the design. Increased survival and retention during oral administration were observed for coated cells as compared with naked cells. Partial removal of the coating (20-60% removal) after acid treatment indicates that the coated vaccine can expose its surface immunogenic protein after passage through the stomach, thus facilitating vaccine immune stimulation in the intestine. As a smart oral delivery platform, this design can be extended to various macromolecules, thus providing a promising strategy to formulate oral macromolecules in the prevention and treatment of diseases at a cellular level.

Design and Implementation of an Intelligent Cross-Border E-Commerce English Learning Platform Based on a Knowledge Map

At present, most online education platforms still have problems such as single learning modes and loose knowledge structures. Using the knowledge map, the study employs a personalized adaptive intelligent adjustment strategy based on the structural expression of the CBEC English subject system. Firstly, the study uses the Scapy framework to crawl the subject knowledge data. Then use the LTP platform to process sentences containing multiple entities. Input the sentence into the dependency parser to analyze and extract the entity relationship. Finally, according to the relevance between knowledge points and topics in the knowledge map, the final learning path recommendation result is obtained. And cluster the similarity of curriculum content to build a complete curriculum system. Based on the above operations, a knowledge map-based smart learning platform for the CBEC English discipline has been designed and implemented to provide a smart, personalized learning environment for learners. According to the experimental analysis, the average satisfaction of learners with the learning platform designed by the study is 81.56%, which can meet the learning needs of learners and provide an excellent mobile learning environment for students.

Development of non-destructive system for estimating avocado quality parameters

México has established itself as a significant global exporter of avocados, owing to the surging demand for this highly sought-after fruit. In response to market requirements, the assurance of specific quality parameters during the harvesting and international transportation phases has become indispensable. However, the predominant techniques employed for the assessment of these critical quality attributes are often intrusive and labor-intensive, resulting in substantial economic losses. In this research, we propose a novel approach, Smart Platform for Avocado Inspection and Analysis (SPAIA), which leverages intelligent audio analysis to nondestructively estimate key avocado quality parameters. Our methodology comprises a multi-faceted process, encompassing the design and development of a specialized capture device, meticulous data collection, and the formulation of robust audio-based estimation and evaluation models. As a result, our research proposes new aFI, aFIsum indices from Audio Signal Processing (ASP) techniques, and a new spectrogram, a product of image processing techniques and Intelligent Audio Analysis (IAA). Finally, the non-destructive approach yielded remarkable results in the estimation of the avocado quality parameters Seed Weight (SW), Dry Matter Index (DMI), Ripeness State (RS) and Uniform Ripeness (UR). The best regression models achieved a Pearson’s correlation index of 0.988, while the classification models exhibited an accuracy of 0.960. These findings not only demonstrate the viability of SPAIA as an innovative tool but also highlight its potential to revolutionize the avocado industry by offering a more efficient and sustainable means of ensuring fruit quality throughout the entire production and distribution process.

A smart platform (BEVPro) for modeling, evaluating, and optimizing community microgrid integrated with buildings, distributed renewable energy, electricity storage, and electric vehicles

To achieve net-zero emissions, smart microgrid technologies like building-electric-vehicle (building-EV) energy networks with distributed renewable energy (RE) and energy storage are receiving growing attention. Nonetheless, there are few easy-to-use simulation platforms for conveniently and fast modeling and optimizing building-EV energy networks since it involves many research fields. In this study, a novel open-sourced simulating platform, BEVPro, was proposed to easily and accurately model and evaluate building-EV networks integrating buildings, REs, onsite electric batteries, and EVs. Firstly, the development of BEVPro was introduced. Then, a series of simulations on a community microgrid with 30 buildings, solar panels, onsite batteries, and 30 EVs, was conducted via BEVPro to optimize the investigated network. To be specific, in the comparison of annual energy amounts and grid powers for validating the accuracy of BEVPro with TRNSYS, the differences are smaller than 1.1% and 6.4%, respectively. Then the influences of different quantities of energy components (like the EV) were explored, and the four rule-based strategies were compared via BEVPro, of which the optimal strategy with the largest economic benefits (reducing 61.5% energy cost for residents) was selected for the parametric optimization of the energy components and control strategy, to further improve the energy flexibility of the building-EV network.

A Smart Pesticide-Controlled Release Platform with Dual Stimuli-Responsive Functions for Enhanced Treatment of Plant Black Shank.

Realizing controllable input of botanical pesticides is conducive to improving pesticide utilization, reducing pesticide residues, and avoiding environmental pollution but is extremely challenging. Herein, we constructed a smart pesticide-controlled release platform (namely, SCRP) for enhanced treatment of tobacco black shank based on encapsulating honokiol (HON) with mesoporous hollow structured silica nanospheres covered with pectin and chitosan oligosaccharide (COS). The SCRP has a loading capacity of 12.64% for HON and could effectively protect HON from photolysis. Owing to the pH- and pectinase-sensitive property of the pectin, the SCRP could smartly release HON in response to a low pH or a rich pectinase environment in the black shank-affected area. Consequently, the SCRP effectively inhibits the infection of P. nicotianae on tobacco with a controlled rate for tobacco black shank of up to 87.50%, which is mainly due to the SCRP's capability in accumulating ROS, changing cell membrane permeability, and affecting energy metabolism. In addition, SCRP is biocompatible, and the COS layer enables SCRP to show a significant growth-promoting effect on tobacco. These results indicate that the development of a stimuli-responsive controlled pesticide release system for plant disease control is of great potential and value for practical agriculture production.

Revolutionizing Cancer Treatment: Biopolymer-Based Aerogels as Smart Platforms for Targeted Drug Delivery.

Cancer stands as a leading cause of global mortality, with chemotherapy being a pivotal treatment approach, either alone or in conjunction with other therapies. The primary goal of these therapies is to inhibit the growth of cancer cells specifically, while minimizing harm to healthy dividing cells. Conventional treatments, often causing patient discomfort due to side effects, have led researchers to explore innovative, targeted cancer cell therapies. Thus, biopolymer-based aerogels emerge as innovative platforms, showcasing unique properties that respond intelligently to diverse stimuli. This responsiveness enables precise control over the release of anticancer drugs, enhancing therapeutic outcomes. The significance of these aerogels lies in their ability to offer targeted drug delivery with increased efficacy, biocompatibility, and a high drug payload. In this comprehensive review, the author discuss the role of biopolymer-based aerogels as an emerging functionalized platforms in anticancer drug delivery. The review addresses the unique properties of biopolymer-based aerogels showing their smart behavior in responding to different stimuli including temperature, pH, magnetic and redox potential to control anticancer drug release. Finally, the review discusses the application of different biopolymer-based aerogel in delivering different anticancer drugs and also discusses the potential of these platforms in gene delivery applications.

A Hardware Encoder-Based Synchronization Method for a Fast Terahertz TDS Imaging System Based on the ECOPS Scheme.

In this paper, we report our use of a hardware encoder-based synchronization method for a fast terahertz time-domain spectroscopy raster scanner built with the commercially available TeraFlash Smart platform. We describe the principles of our method, including our incorporation of synchronization signals from various devices included in the scanner. We also describe its implementation in a microcontroller with a dedicated counter. By such means, a fast scanning mode was obtained, which was 35 times faster than a traditional step-by-step approach. To validate the proposed synchronization method, we carried out measurements using the USAF 1951 resolution test and a fiberglass plate with a set of intentionally introduced defects. Our results confirmed that the TDS scanner with the developed synchronization method was able to capture high-quality images with resolutions as high as those obtained using traditional step-by-step scanning, but with significantly reduced scanning times.

Optimizing vision transformers for CPU platforms via human-machine collaborative design

Over the past three years, various vision transformers (ViTs) have been proposed and applied to many vision tasks. However, for x86 CPU platforms, current ViTs fail to effectively balance inference efficiency and accuracy because they are specifically designed for high-end GPU platforms or smart mobile platforms. In this paper, we aim to explore high-performance transformer architectures for CPU platforms via human-machine collaborative design. First, we attempt to discover CPU-unfriendly design choices in existing ViTs through several controlled experiments. According to our observations, we then design two CPU-efficient attention units for building transformers by human manual exploration. Finally, based on our basic units, we present a CPU-Aware network search method to automatically search for global architectures of transformers. Through the process of human-machine collaborative design, we can obtain ViT instances. Benefiting from our human-designed basic units and automatically-searched global structures, our ViT instances achieve a more favorable tradeoff between CPU-latency and accuracy. For CPUs based on x86 architecture, they are more competitive than their CNN-based and transformer-based counterparts. This suggests that our proposed human-machine collaborative solution is feasible for designing vision transformers tailored for specific hardware.