Life Scenarios Research Articles

The Effect of Product Selection in Live Streaming on Firm Performance: The Roles of Interaction, Scenario, and Brand-Consumer Congruence

ABSTRACT Purpose Live streaming e-commerce is an emerging e-commerce model within the realm of the mobile Internet, based on video-centric social media interaction. However, there is currently a lack of in-depth research on live streaming from a business perspective and the impact of product selection in live streaming on firm performance. To fill these gaps, the current study investigated how brand – consumer congruence moderates the influence of product selection in live streaming on firm performance and how this effect varies across retailers. Methodology/approach The model and hypotheses were tested by applying partial least squares regression to data collected from 302 online retailers in the Chinese live streaming market. Findings Product selection in live streaming had a significant positive impact on firm performance. Brand – consumer congruence in live rooms partially mediated the relationship between product selection and firm performance. Live room scenario matching and live room interaction had significant positive moderating effects on the main effect of product selection in live streaming on firm performance. Research implications The literature has focused on the impact of live streaming on customer purchase behavior. Few studies have explored the value of live streaming from a business-to-business marketing perspective. Our findings offer theoretical insights into the relationship between product selection and firm performance. Originality/value/contribution This is the first study to examine the value of product selection in live streaming. In addition, it reveals how product selection affects firm performance through brand – consumer congruence. Practical implications This study has implications for online retail managers based on the effect of product selection in live streaming on firm performance and the roles of brand – consumer congruence, interaction, and scenario in live streaming of business-to-business marketing.

EduLive: Re-Creating Cues for Instructor-Learners Interaction in Educational Live Streams with Learners' Transcript-Based Annotations

Educational live streaming has become a complement to in-person teaching. While synchronous instructor-learner communication is useful, the technology-mediated nature of live streaming can obscure many interaction cues (e.g., learners' facial expressions and body language), which dampens the instructors' ability to respond to remote learners' needs. We explore the opportunity of leveraging real-time transcripts generated from instructors' audio as a basis for re-creating interaction cues. Transcripts can be leveraged to reveal the content of live streams in a form that learners can trace back and annotate, and such annotations can be further aggregated and presented to instructors as signals to assist them in tracking learners' engagement. By designing and evaluating our proof-of-concept prototype system, EduLive, we show that instructors benefited from the summative information extracted from learners' annotations, and the context provided by the transcript enhanced their ability to answer learners' questions. Our system contributes to the design space of social annotations in CSCW by employing social annotations in educational live streaming scenarios.

The effects of deception on memory: a comparative study of actors and eyewitnesses accounts

Deception is a common occurrence in daily life and has been shown to impair memory. This study investigated the memory-undermining effects of deception in a simulated daily life scenario, focusing on the potential moderating effect of the liars’ role (i.e., actor vs. eyewitness). In a 2 × 2 between-subjects design, 128 participants were randomly assigned to one of four conditions: actors who told the truth, actors who lied, eyewitnesses who told the truth, and eyewitnesses who lied. Participants engaged in a simulated shopping task, followed by an interview where they either provided truthful or deceptive responses about the items they bought (actors) or observed (eyewitnesses). Two days later, participants completed a series of memory tests assessing item memory, source memory, destination memory, and non-believed memories. Results showed that deception impaired source memory, with a greater impairment observed for actors than eyewitnesses. Deception also led to more non-believed memories and impaired item and destination memory, regardless of the liars’ role. These findings suggest that the role of liars moderates the effects of deception on memory, with self-related deception (actors) leading to greater memory impairments than other-related deception (eyewitnesses).

Strategic carbon emission assessment in sludge treatment: A dynamic tool for low-carbon transformation

The carbon–neutral target presents a significant challenge for the sewage sludge treatment and disposal (SSTD) industry, necessitating strategic planning for a low-carbon transition. However, flexible and comprehensive carbon emission analysis tools to support this goal remain lacking. This study presents a carbon emission analysis tool to evaluate the carbon emission characteristics and future mitigation potentials of SSTD. The tool integrates life cycle inventory (LCI) modeling-based analysis, sensitivity analysis, regression analysis, and scenario analysis. Carbon emissions are dynamically calculated based on sludge properties, technological level, and industry external parameters, providing a foundation for adaptable evaluation tailored to local conditions. The framework considers the potential effects of multi-parameter and multi-aspect changes in scene design, both within and outside the industry, to achieve dynamic and comprehensive simulations. A case study conducted in Wuhan, China, demonstrated the usability and application processes of the framework. The results indicated that carbon emissions from SSTD are projected to more than double from 2021 to 2060 without interventions. Among the mitigation measures, energy and chemical savings would yield the largest reduction potential, followed by the technical layout adjustment and the promotion of energy efficiency. Operational optimization in the sludge industry and outside the industry would contribute the least. With all mitigation measures applied, emissions could decrease to –82.91 kt CO2-eq in 2060, equivalent to 13.03% compensation for emissions from the sewage treatment line. Among all the processes, incineration routes are recommended due to their current and future low carbon emissions. The cooperative resource route of anaerobic digestion and land use also shows promise as it progressively demonstrates superior performance with increasing organic matter and nutrient content of sludge. Critical factors, sub-processes, and emission types for different routes were identified and can be optimized accordingly. The developed method demonstrates sufficient flexibility to be applied to other cities and larger-scale regions, thereby offering technical and strategic support for SSTD towards carbon–neutral operation.

Glycine synthesis from nitrate and glyoxylate mediated by ferroan brucite: An integrated pathway for prebiotic amine synthesis

Amino acids are present in all known life, so identifying the environmental conditions under which they can be synthesized constrains where life on Earth might have formed and where life might be found on other planetary bodies. All known abiotic amino acid syntheses require ammonia, which is only produced in reducing and neutral atmospheres. Here, we demonstrate that the Fe-bearing hydroxide mineral ferroan brucite [Fe0.33,Mg0.67(OH)2] can mediate the reaction of nitrate and glyoxylate to form glycine, the simplest amino acid used in life. Up to 97% of this glycine was detected only after acid digestion of the mineral, demonstrating that it had been strongly partitioned to the mineral. The dicarboxylic amino acid 3-hydroxy aspartate was also detected, which suggests that reactants underwent a mechanism that simultaneously produced mono- and dicarboxylic amino acids. Nitrate can be produced in both neutral and oxidizing atmospheres, so reductive amination of nitrate and glyoxylate on a ferroan brucite surface expands origins of life scenarios. First, it expands the environmental conditions in which life's precursors could form to include oxidizing atmospheres. Second, it demonstrates the ability of ferroan brucite, an abundant, secondary mineral in serpentinizing systems where olivine is partly hydrated, to mediate reductive amination. Finally, the results demonstrate the need to consider mineral-bound products when analyzing samples for abiotic amino acid synthesis.

From Observers to Interveners: Examining Bystander Intentions in Facebook Live Videos

This study investigated the bystander effect by examining intentions to intervene in simulated Facebook Live scenarios. A 4 (number of other viewers: 0 vs. 4 vs. 49 vs. 224) x 2 (level of urgency: non-urgent vs. urgent video) between-subjects experimental design was conducted with 210 participants to examine how the number of bystanders and the perceived urgency of a situation influence self-reported bystander intentions. With individual empathy levels controlled, an ANCOVA test revealed no significant main effect of the number of other viewers on the intention to intervene, but a significant difference was found between the 0 and 224 viewer conditions. Urgent situations elicited higher intervention intentions compared to non-urgent ones, without an interaction effect with viewer number. With the number of other viewers and urgency level as separate independent variables, mediation analysis found patterns differing from the traditional five-step bystander intervention model. These findings enhance our understanding how bystander intentions manifest in social media contexts and highlight the influence of perceived danger and audience size. The implications for online bystander behavior and future research directions are discussed.

Activity Identification, Classification, and Representation of Wheelchair Sport Court Tasks: A Method Proposal.

Monitoring player mobility in wheelchair sports is crucial for helping coaches understand activity dynamics and optimize training programs. However, the lack of data from monitoring tools, combined with a lack of standardized processing approaches and ineffective data presentation, limits their usability outside of research teams. To address these issues, this study aimed to propose a simple and efficient algorithm for identifying locomotor tasks (static, forward/backward propulsion, pivot/tight/wide rotation) during wheelchair movements, utilizing kinematic data from standard wheelchair mobility tests. Each participant's wheelchair was equipped with inertial measurement units-two on the wheel axes and one on the frame. A total of 36 wheelchair tennis and badminton players completed at least one of three proposed tests: the star test, the figure-of-eight test, and the forward/backward test. Locomotor tasks were identified using a five-step procedure involving data reduction, symbolic approximation, and logical pattern searching. This method successfully identified 99% of locomotor tasks for the star test, 95% for the figure-of-eight test, and 100% for the forward/backward test. The proposed method offers a valuable tool for the simple and clear identification and representation of locomotor tasks over extended periods. Future research should focus on applying this method to wheelchair court sports matches and daily life scenarios.

Secured Fog-Body-Torrent : A Hybrid Symmetric Cryptography with Multi-layer Feed Forward Networks Tuned Chaotic Maps for Physiological Data Transmission in Fog-BAN Environment

Recently, the Wireless Body Area Networks (WBAN) have become a promising and practical option in the tele-care medicine information system that aids for the better clinical monitoring and diagnosis. The trend of using Internet of Things (IoT) has propelled the WBAN technology to new dimension in terms of its network characteristics and efficient data transmission. However, these networks demand the strong authentication protocol to enhance the confidentiality, integrity, recoverability and dependability against the emerging cyber-physical attacks owing to the exposure of the IoT ecosystem and the confidentiality of biometric data. Hence this study proposes the Fog based WBAN infrastructure which incorporates the hybrid symmetric cryptography schemes with the chaotic maps and feed forward networks to achieve the physiological data info security without consuming the characteristics of power hungry WBAN devices. In the proposed model, scroll chaotic maps are iterated to produce the high dynamic keys streams for the real time applications and feed-forward layers are leveraged to align the complex input-output associations of cipher data for subsequent mathematical tasks. The feed forward layers are constructed which relies on the principle of Adaptive Extreme Learning Machines (AELM) thereby increasing randomness in the cipher keys thereby increasing its defensive nature against the different cyber-physical attacks and ensuring the high secured encrypted-decrypted data communication between the users and fog nodes. The real time analysis is conducted during live scenarios. BAN-IoT test beds interfaced with the heterogeneous healthcare sensors and various security metrics are analysed and compared with the various residing cryptographic algorithms. Results demonstrates that the recommended methodology has exhibited the high randomness characteristics and low computational overhead compared with the other traditional BAN oriented cryptography protocol schemes

PSYCHOLOGICAL FEATURES OF LIFE SCENARIOS OF REPRESENTATIVES OF VARIOUS PROFESSIONS

The article is devoted to studying the peculiarities of life scenarios of representatives of various professions. The article analyses the scenario theory explaining the process of choosing a profession and professional behaviour of a person. The author points out that a well- chosen life path determines a person’s social value. The theoretical aspects of the concept of “life scenario” are considered in the article from the perspective of transactional analysis. The author associates this concept with other similar psychological categories in various studies. To prove the hypothesis about the existence of connection between life scenario features and professional self-determination, the author invited representatives of two professions to participate in the empirical study: real estate agents and IT technicians. The author selected appropriate diagnostic tools. The empirical study of the life scenarios of representatives of two professions confirmed the hypothesis put forward by the author. The formed life scenario in childhood receives its further development and influences the professional life path of the individual.

Does major make a difference? Mental health literacy and its relation to college major in a diverse sample of undergraduate students

Examining a large number of specific college majors and their association with mental health literacy (MHL) is an important step towards identifying at-risk groups at the college level. Though prior research has investigated MHL across student demographics such as gender, age, ethnicity, and level of education, the present study was the first to compare the MHL of undergraduate students across 19 different college majors. A total of 617 demographically and ethnically diverse undergraduate students (62.1% female; 69.3% non-white; mean age = 22.2 years; mean year in college = 2.8) reported their demographics, college experience, and college major, and completed an MHL measure that assessed knowledge of more than 20 psychological disorders and the application of that knowledge to real life scenarios. After controlling for gender, data were analyzed using ANOVA and post hoc comparisons to determine if differences in mental health literacy level were related to specific college majors. Results revealed that mental health literacy significantly differed across majors, F(18, 598) = 5.09, p < .001. Specifically, students majoring in accounting, nursing, business, biology, and those in a multidisciplinary category had significantly lower mental health literacy scores compared to the highest scoring major, psychology. We present empirical data about variations in mental health literacy across many different majors in higher education. Our findings provide a rationale for interventions for academic majors with lower MHL, as well as a rationale for training of college faculty and staff, for the purpose of improving psychological well-being in at-risk college students.

Dynamics of the event structure of the life course in Russia

The article presents the results of a comparative analysis of the life-event structure of generations of Russians based on empirical data from the Russian Social Survey (RSS) wave 9, comparable with ESS. The analysis showed that the life calendar of currently living generations of Russians is quite strongly structured - events occur in certain and rather narrow time intervals and in a certain sequence. A feature of the life calendar in Russia is a high concentration of all the basic events of the first phase of adult life in a narrow time interval, a short period of entry into adulthood. Events of the late stage of life show greater chronological diversity and scenario variability. Significant differences in the life-event matrix of generations in Russia were found, including an increase in the average age of onset of almost all basic life events, an expansion of the boundaries of age-related life stages, an extension of the path of growing up and the transition from maturity to old age, as well as diversification of life scenarios in the professional and family-marital spheres. When comparing the indices of standardisation of the main events between generations, a trend towards destandardisation of life paths was revealed: in older generations, the level of similarity is significantly higher than among younger generations. The main changes occurred in the generation of 1970-1979 and accelerated in the next generation of 1980-1989. Macro-demographic factors, as well as changes in socio-economic and historical conditions, the transition to a post-industrial society might be named among possible reasons. The trend towards destandardisation of life paths in older generations primarily affected people with a higher level of education, while in younger generations it acquired a broader social and class character; gender differences began to appear in the generation of the 1980s. The authors suggest that the increase in destandardisation of life paths may have multidirectional social and individual consequences. On the one hand, new opportunities for development, building a life path taking into account individual characteristics, talents and desires, greater flexibility of life trajectories, a decrease in normativity and social pressure. On the other hand, this may lead to increased uncertainty, social tension, increased inequalities, and a deepening conflict between “fathers and children,” which will increase social risks in the foreseeable future.

ECG Biometric Verification Incorporating Different Physiological Conditions

The liveness detection criteria of biological signals have become one of the reasons it has been introduced as an ideal biometric recognition system. Electrocardiogram (ECG) is one of the biological signals that records the rhythms of human’s heart in the form of PQRST waves proves the uniqueness of the ECG itself making it suitable to be applied as biometric mechanisms. Previous research had shown the success of proving ECG as a biometric modality however most experimentations were done in normal conditions. Thus, to improve the current research, this work proposed a robust biometric identification by introducing ECG signals incorporating various physiological conditions. After the data collection of cycling, walking, climbing stairs, and jogging, the signals are pre-processed by using MODWT to remove unwanted noises produced during data collection process. Then, Pan Tompkins algorithm is used to segment the QRS complexes. The segmented signals are overlapped and align with each other to observe its pattern. Next, the QRS waveform is classified by using various class of SVM by considering two factors which are same physiological conditions and different physiological conditions. The subjects are compared between same and different physiological condition to validate the proposed method. The results show that the precision achieved up to 100%. In average, Gaussian SVM gives highest precision when compared to other type of SVM classifiers suggesting that Gaussian SVM is the most appropriate to be applied for person identification. Thus, the proposed method proves that biometric recognition can be performed regardless of different physiological conditions and can be applied in real life scenarios.

A comprehensive investigation of an LTE-enabled smart door system using the Arduino UNO

Traditional residential security systems frequently lack remote access and real-time reaction capabilities, necessitating home automation security technology developments. With the rise of the Internet of Things (IoT), solutions such as the Smart Door are prepared to transcend these constraints by leveraging modern communication technology. The article aims to develop, implement, and evaluate an LTE-enabled Smart Door system built on the Arduino Uno platform. The goal is to improve home security by offering keyless entry, real-time surveillance, and remote operation, increasing user convenience and system reliability. We created a Smart Door system with an Arduino Uno microcontroller and LTE connectivity. The system's performance was measured using a variety of measures, including response time, reliability, and security against unwanted access. Testing included simulation environments and real-world scenarios to ensure the system's operational efficacy and security. The Smart Door system performed admirably, with a reaction time of less than two seconds in 95% of commands and strong resilience to brute force attacks. It effectively incorporated keyless entry, live video streaming, and real-time alarms, all controlled by a smartphone app, demonstrating the system's dependability and efficiency in live scenarios. The LTE-enabled Smart Door system considerably improves over traditional home security options. It provides enhanced security, simple operation, and more outstanding remote management capabilities by utilizing IoT technology. These enhancements fill essential holes in existing systems, providing a safer, dependable, and convenient answer for modern home security requirements.

Effects of adaptive scaffolding on performance, cognitive load and engagement in game-based learning: a randomized controlled trial

BackgroundWhile game-based learning has demonstrated positive outcomes for some learners, its efficacy remains variable. Adaptive scaffolding may improve performance and self-regulation during training by optimizing cognitive load. Informed by cognitive load theory, this study investigates whether adaptive scaffolding based on interaction trace data influences learning performance, self-regulation, cognitive load, test performance, and engagement in a medical emergency game.MethodsSixty-two medical students from three Dutch universities played six game scenarios. They received either adaptive or nonadaptive scaffolding in a randomized double-blinded matched pairs yoked control design. During gameplay, we measured learning performance (accuracy, speed, systematicity), self-regulation (self-monitoring, help-seeking), and cognitive load. Test performance was assessed in a live scenario assessment at 2- and 6–12-week intervals. Engagement was measured after completing all game scenarios.ResultsSurprisingly, the results unveiled no discernible differences between the groups experiencing adaptive and nonadaptive scaffolding. This finding is attributed to the unexpected alignment between the nonadaptive scaffolding and the needs of the participants in 64.9% of the scenarios, resulting in coincidentally tailored scaffolding. Exploratory analyses suggest that, compared to nontailored scaffolding, tailored scaffolding improved speed, reduced self-regulation, and lowered cognitive load. No differences in test performance or engagement were found.DiscussionOur results suggest adaptive scaffolding may enhance learning by optimizing cognitive load. These findings underscore the potential of adaptive scaffolding within GBL environments, cultivating a more tailored and effective learning experience. To leverage this potential effectively, researchers, educators, and developers are recommended to collaborate from the outset of designing adaptive GBL or computer-based simulation experiences. This collaborative approach facilitates the establishment of reliable performance indicators and enables the design of suitable, preferably real-time, scaffolding interventions. Future research should confirm the effects of adaptive scaffolding on self-regulation and learning, taking care to avoid unintended tailored scaffolding in the research design.Trial registrationThis study was preregistered with the Center for Open Science prior to data collection. The registry may be found at https://osf.io/7ztws/.

Why is KOL (Key Opinion Leader) Advertising on Social Media more Effective at Attracting Consumers than Official Brand Accounts?-Exploring Lancmes Promotion on Chinese Platform RED

In the context of the flourishing digital market, effectively utilizing social media for advertising has become one of the primary concerns for brands. This article aims to investigate the reasons why advertising campaigns by KOLs (Key Opinion Leaders) on Chinese social media platforms garner more attention from consumers compared to official brand accounts. This research employs a case study and interview methodology. The first set of data presents the advertising content and responses of both Lancme's official account and KOL accounts on the Chinese social media platform, Xiaohongshu (RED). The second set of data showcases the interview results from five recruited participants on RED. Each participant was asked to assess their attitudes towards different forms of product promotion. The results indicate that KOLs' posts on RED offer a more relatable and curiosity-inducing perspective by sharing product experiences in everyday life scenarios. This approach resonates with users and brings the promotion closer to consumers. In contrast, the content strategy of official brand accounts tends to focus more on product features, which increases the perceived distance from consumers. Furthermore, interaction data and user feedback from KOL accounts reveal that users are more inclined to trust and reference the authentic usage experiences of fellow consumers rather than official product descriptions. These findings elucidate the practical impact of official brand accounts versus KOL accounts in social media advertising, highlighting the unique value of KOL advertising. Our research is poised to inspire brands to reconsider their social media advertising strategies, potentially bringing forth greater appeal and competitive advantage for the brands.

PSTD Treatment of Joint Forces Operation Combatants: A Case Study.

The participation of military personnel in operations like the Anti-Terrorist Operation (ATO)/Joint Forces Operations (JFO) can lead to significant psychological trauma, potentially resulting in posttraumatic stress disorder (PTSD). Understanding the effectiveness of psychotherapy in treating PTSD among ATO/JFO participants is crucial given its profound impact on personal relationships, life scenarios, and overall well-being. This study evaluates how acceptance and commitment therapy can alleviate PTSD symptoms and enhance well-being in Ukrainian military personnel with combat-related PTSD. The main research method was a psychological experiment, and the case study method was used as an auxiliary research method. The study revealed the following: combatants in the ATO/JFO who have been diagnosed with PTSD should be classified as persons with disabilities due to certain limitations in their life activities, namely, the inability to control their behavior, and difficulties in work and communication. This study proves that cognitive-behavioral psychotherapy has a clear advantage in overcoming PTSD in the military, as it allows transforming psychological trauma into posttraumatic growth. Attachment and acceptance therapy, a form of behavioral therapy, has emerged as one of the most effective treatments for PTSD. It focuses on diagnosing and addressing the psychological consequences of war by analyzing the connections among cognition, affect, and behavior. Given the protracted nature of PTSD, the practical significance of the study is to develop effective psychotherapeutic interventions for the expected recovery of ATO/JFO participants affected by combat operations.

Crossmodal semantic congruence guides spontaneous orienting in real-life scenes.

In real-world scenes, the different objects and events are often interconnected within a rich web of semantic relationships. These semantic links help parse information efficiently and make sense of the sensory environment. It has been shown that, during goal-directed search, hearing the characteristic sound of an everyday life object helps finding the affiliate objects in artificial visual search arrays as well as in naturalistic, real-life videoclips. However, whether crossmodal semantic congruence also triggers orienting during spontaneous, not goal-directed observation is unknown. Here, we investigated this question addressing whether crossmodal semantic congruence can attract spontaneous, overt visual attention when viewing naturalistic, dynamic scenes. We used eye-tracking whilst participants (N = 45) watched video clips presented alongside sounds of varying semantic relatedness with objects present within the scene. We found that characteristic sounds increased the probability of looking at, the number of fixations to, and the total dwell time on semantically corresponding visual objects, in comparison to when the same scenes were presented with semantically neutral sounds or just with background noise only. Interestingly, hearing object sounds not met with an object in the scene led to increased visual exploration. These results suggest that crossmodal semantic information has an impact on spontaneous gaze on realistic scenes, and therefore on how information is sampled. Our findings extend beyond known effects of object-based crossmodal interactions with simple stimuli arrays and shed new light on the role that audio-visual semantic relationships out in the perception of everyday life scenarios.

Sequential three-way group decision-making for double hierarchy hesitant fuzzy linguistic term set

Group decision-making (GDM) characterized by complexity and uncertainty is an essential part of various life scenarios. Most existing researches lack tools to fuse information quickly and interpret decision results for partially formed decisions. This limitation is particularly noticeable when there is a need to improve the efficiency of GDM. To address this issue, a novel multi-level sequential three-way decision for group decision-making (S3W-GDM) method is constructed from the perspective of granular computing. This method simultaneously considers the vagueness, hesitation, and variation of GDM problems under double hierarchy hesitant fuzzy linguistic term sets (DHHFLTS) environment. First, for fusing information efficiently, a novel multi-level expert information fusion method is proposed, and the concepts of expert decision table and the extraction/aggregation of decision-leveled information based on the multi-level granularity are defined. Second, the neighborhood theory, outranking relation and regret theory (RT) are utilized to redesign the calculations of conditional probability and relative loss function. Then, the granular structure of DHHFLTS based on the sequential three-way decision (S3WD) is defined to improve the decision-making efficiency, and the decision-making strategy and interpretation of each decision-level are proposed. Furthermore, the algorithm of S3W-GDM is given. Finally, an illustrative example of diagnosis is presented, and the comparative and sensitivity analysis with other methods are performed to verify the efficiency and rationality of the proposed method.

End-to-end elevator voice command recognition system based on improved convolutional neural network

Abstract As a common life scenario, the use of voice control in elevator operation can effectively reduce public health risks and improve user experience in the post-epidemic era. However, due to the characteristics of its closure and public space, it is difficult to deploy the elevator. To solve this problem, an end-to-end speech command recognition algorithm based on a new deep neural network is proposed. The algorithm uses the self-built corpus for training, and uses the speech segment interception algorithm to obtain audio segments under the premise of speech stream as input, puts them into the network model in real time for reasoning, and drives the elevator to run according to the output results. The results show that compared with the recognition model using MFCC-CNN, the network has achieved about 10% improvement in accuracy under the premise of smaller computation, and compared with the DTW algorithm, the network has improved the accuracy by about 25%. Finally, a typical deployment environment is constructed to prove the correctness and effectiveness of the method in practical application.

Electromagnetic Exposure Levels of Electric Vehicle Drive Motors to Passenger Wearing Cardiac Pacemakers.

The number of individuals wearing cardiac pacemakers is gradually increasing as the population ages and cardiovascular disease becomes highly prevalent. The safety of pacemaker wearers is of significant concern because they must ensure that the device properly functions in various life scenarios. Electric vehicles have become one of the most frequently used travel tools due to the gradual promotion of low-carbon travel policies in various countries. The electromagnetic environment inside the vehicle is highly complex during driving due to the integration of numerous high-power electrical devices inside the vehicle. In order to ensure the safety of this group, the paper takes passengers wearing cardiac pacemakers as the object and the electric vehicle drive motors as the exposure source. Calculation models, with the vehicle body, human body, heart, and cardiac pacemaker, are built. The induced electric field, specific absorption rate, and temperature changes in the passenger's body and heart are calculated by using the finite element method. Results show that the maximum value of the induced electric field of the passenger occurs at the ankle of the body, which is 60.3 mV/m. The value of the induced electric field of the heart is greater than that of the human trunk, and the maximum value (283 mV/m) is around the pacemaker electrode. The maximum specific absorption rate of the human body is 1.08 × 10-6 W/kg, and that of heart positioned near the electrode is 2.76 × 10-5 W/kg. In addition, the maximum temperature increases of the human torso, heart, and pacemaker are 0.16 × 10-5 °C, 0.4 × 10-6 °C, and 0.44 × 10-6 °C within 30 min, respectively. Accordingly, the induced electric field, specific absorption rate, and temperature rise in the human body and heart are less than the safety limits specified in the ICNIRP. The electric field intensity at the pacemaker electrode and the temperature rise of the pacemaker meet the requirements of the medical device standards of ICNIRP and ISO 14708-2. Consequently, the electromagnetic radiation from the motor operation in the electric vehicle does not pose a safety risk to the health of passengers wearing cardiac pacemakers in this paper. This study also contributes to advancing research on the electromagnetic environment of electric vehicles and provides guidance for ensuring the safe travel of individuals wearing cardiac pacemakers.