Mobile Device Applications Research Articles

#472 Cardiorenal relations in patients with chronic heart failure

Abstract Background and Aims To study the functional state of the kidneys and cardiorenal relationships in patients with chronic heart failure, depending on the representation of components of metabolic syndrome Method To achieve the objectives, 227 male patients with chronic heart failure (CHF) of ischemic origin of functional class II-III according to NYHA, aged 40-60 years with a history of myocardial infarction of 6 months, were examined up to 5 years. Depending on the presence of MS components, 3 groups of patients were identified: group I (n=80), patients without MS (CHF FC II—42, CHF FC III—38 patients); Group II (n=77) patients with various combinations of dyslipidemia (HDL-C <1.03 mmol/l; LDL-C >3.0 mmol/l) with abdominal obesity (AO), hypertension and hypertriglyceridemia (HTG) (CHF FC II—40, CHF FC III—37 patients); Group III (n=75) patients with various combinations of dyslipoproteinemia (DLP) and type 2 diabetes mellitus (DM2) with AO, hypertension and hypertriglyceridemia (CHF) (CHF FC II—36, CHF FC III—39 patients). When diagnosing MS, the International Diabetes Federation diagnostic criteria for MS were used (IDF, 2009). The study of the functional state of the kidneys included determination of the level of serum creatinine, urinary albumin excretion (determination of microalbuminuria (MAU ≥300 mg/l) in a single morning urine using indicator strips (Biosensor AN, Russia), glomerular filtration rate (GFR), calculated by the formula GFR EPI, which takes into account race, sex, age, serum creatinine. To calculate GFR using the CKD-EPI formula, you can use special applications for mobile devices (QxMDCalculator). Results When studying the parameters of the functional state of the kidneys in patients with group 1 CHF, 20 patients (25%) out of 80 were diagnosed with MAU. Serum creatinine clearance in this group was 89.0 ± 8.49 μmol/L, and the GFR level was 88.58 ± 8.36 ml/min. With the development of MS in group II patients, 41 out of 77 patients had MAU (53.2%). A decrease in GFR by 19.3% (P<0.01) was also found with an increase in serum creatinine levels by 22.7% (P<0.01), in contrast to the data from group I of the study. Further analysis of the parameters of renal function in CHF group III revealed a significant decrease in GFR (by 29.8%; P<0.001) with a significant increase in blood creatinine levels (by 31.8%; P<0.001) in relation to the data of group I. Also in group III of patients with CHF and MS (+DM2), microalbuminuria was detected in 47 patients (74.6%) out of 75. When comparing indicators of renal function between study groups II and III, there was a significant difference in the level of blood creatinine clearance and glomerular filtration rate by 21.3% and 20.1% (P<0.005), respectively. According to the classification of CKD, in group I of patients with CHF, stage I CKD was detected in 39.3%, in group II in 28.6% and in group III in 19.4%. CKD stage II was detected in group I in 46.4%, in group II in 50% of patients. 46.9% had CKD stage II of the disease in group III of the study. Also, in group II, 21.4% and group III, 43.7% were diagnosed with stage III CKD. V In group I, 35% had a high risk, 53.6% had a moderate and 14.3% had a low combined risk of developing cardiovascular complications in cardiorenal syndrome. Conclusion Thus, MS in patients with CHF aggravates renal dysfunction, which developed as one of the main pathogenetic links of CHF. It has been established that as MS progresses (addition of type 2 diabetes to other components of MS), the phenomena of functional renal failure increase. Violation of the functional state of the kidneys, the severity and nature of this dysfunction depends on the presence and nature of the representation of MS components.

Mobile application for sending and receiving academic messages

We live in a competitive and globalized world in which innovation is essential for the development of new services and products that favor the generation of value in society. This is the case of education where the integration of information and communications technologies has made possible the innovation of teaching-learning processes, as is the case of the use of mobile devices inside and outside the classroom. However, inevitably, there are still barriers to being able to provide real-time interconnectivity in the educational context. Hence arises the importance of the implementation of mobile devices to revolutionize educational practices that provide optimal education of excellence. This project aims to develop a new modality through the application of mobile devices for smartphones, which allows receiving relevant messages of academic interest for students from teachers and coordinators of a higher education institution, at the same time, allowing that academic coordinators and students have excellent communication in real time in locations far from metropolitan areas. It was developed with a qualitative, transversal methodology and as a research technique, software development using the agile scrum methodology. The evidence found proposes a broad field for research on the use of applications in the educational context and the pedagogical potential of mobile devices in higher education and allows us to propose a broad field for future studies.

Applications for mobile devices in oral health: an integrative review

The elaboration and application of new technological resources with educational strategies in the context of education and health is essential to meet current demands, promoting learning through motivating elements adapted to the contemporary context. To know what has been published about mobile applications in oral health aimed at users in general. Integrative Review that includes review and intervention articles published between 2005 and 2015 in the following electronic databases: Medline, Scielo, Pubmed, Scopus and Cochrane Library. The following descriptors have been used in the search: "oral health", "mobile devices" and "applications", being excluded repeated and they were at odds with the theme proposed. Twelve articles have been identified, these have been grouped in tables according to author, year of publication, country, type of research and action strategy. Few studies have explored applications for the prevention of oral diseases and for the promotion of oral health. Most studies on applications in oral health focus on the area of orthodontics and general practice, using features of text messaging an action strategy for reminding patients of their appointments.

The application of virtual reality and augmented reality in dentistry - a literature review.

In recent times, dentistry has seen significant technological advancements that have transformed various specialized areas within the field. Developed into applications for mobile devices, augmented reality (AR) seamlessly merges digital components with the physical world, enhancing both realms while maintaining their individual separateness. On the other hand, virtual reality (VR) relies on advanced, tailored software to visualize a digital 3D environment stimulating the operator's senses through computer generated sensations and feedback. The current advances use the application of VR, haptic simulators, the use of an AI algorithm and many more that provides new opportunities for smart learning and enhance the teaching environment. As this technology continues to evolve, it is poised to become even more remarkable, enabling specialists to potentially visualize both soft and hard tissues within the patient's body for effective treatment planning. This literature aims to present the newest advancements and ongoing development of AR and VR in dentistry and medicine. It highlights their diverse applications while identifying areas needing further research for effective integration into clinical practice.

A systematic search, heuristic evaluation and analysis of dental trauma mobile applications.

Despite the exponential growth of mobile device applications in promoting awareness on traumatic dental injuries (TDIs), the overall validity of existing applications in content, engagement, usability, functionality, esthetics, and user perception remains largely uncertain. The primary aim was to systematically search and assess the quality, functionality, perceived impact and usability of available applications related to TDIs using the User Version of the Mobile Application Rating Scale (uMARS) and the Coventry, Aberdeen, and London-Revised (CA-LO-RE) scale. A heuristic evaluation was additionally performed. The secondary aim was to categorize existing mobile applications according to their target users, including general population, dentists, dental students, medical healthcare professionals, and researchers. A systematic search for dental trauma applications (free and paid) was conducted using the AppStore and Google Play store. Two reviewers independently performed data extraction and quality assessment for all the included applications using uMARS and CA-LO-RE. A user experience architect conducted a heuristic evaluation. Only 6 of the 3061 initially screened applications were eligible for qualitative and quantitative assessments. These applications' average star uMARS rating was 12.5 (standard deviation [SD] 2.6). The mean and SD for the uMARS objective items were as follows: A-engagement (mean 12.1 [SD 3.3]), B-functionality (mean 15.5 [SD 1.4]), C-esthetics (mean 9.5 [SD 2.5]), and D-information (mean 13 [SD 4.5]). The severity rating for the heuristic evaluation criteria was low to moderate for all the included applications, excluding tooth emergencies with a high severity score. Despite moderate quality, functionality, user perception, behavioural impact and usability scores, the inclusion of advanced features to "engagement" and "usability" in existing trauma based apps will enhance their purpose. A design-thinking approach coupled with interactive features is recommended for future mobile applications on TDIs.

Research on Physical Fitness Prediction Model of Athletes Based on Computer Deep Learning

This project intends to study the sports monitoring system based on Android platform in combination with the current wide application of mobile terminal devices and the needs of athletes' daily sports monitoring. This project uses the currently popular head-mounted wireless headset as the main data acquisition terminal, and transmits and decodes data through the head-mounted cable and through the voice interface on the Android platform. Finally, these data are converted into the athletes' action data, and then the mobile terminal software evaluates the athletes' training effect. Simulation results show that the system improves the accuracy of sports training. Therefore, a low-cost athlete physical monitoring system is proposed in this paper, and its realization process is analyzed in detail.

Validity and Responsiveness of a Modified Balance Error Scoring System Assessment Using a Mobile Device Application in Patients Recovering from Ankle Sprain.

Static balance is often impaired in patients after ankle sprains. The ability to identify static balance impairments is dependent on an effective balance assessment tool. The Sway Balance Mobile Application (SWAY App) (Sway Medical, Tulsa, OK) uses a smart phone or tablet to assess postural sway during a modified Balance Error Scoring System (mBESS) assessment and shows promise as an accessible method to quantify changes in static balance after injury. The primary purposes of this study were to determine the ability to differentiate between those with ankle sprain versus controls (construct validity) and ability to detect change over time (responsiveness) of a mBESS assessment using a mobile device application to evaluate static balance after an acute ankle sprain. Case-control study. Twenty-two military academy Cadets with an acute ankle sprain and 20 healthy Cadets were enrolled in the study. All participants completed an assessment measuring self-reported function, ankle dorsiflexion range of motion (via the weightbearing lunge), dynamic balance, and static balance. Static balance measured with the mBESS using the SWAY App was validated against laboratory-based measures. Cadets with ankle sprains completed their assessment twice: once within two weeks of injury (baseline) and again after four weeks of rehabilitation that included balance training. Independent and paired t-tests were utilized to analyze differences over time and between groups. Effect sizes were calculated and relationships explored using Pearson's correlation coefficients. The mBESS scores measured by the SWAY App were lower in participants with acute ankle sprains than healthy Cadets (t = 3.15, p = 0.004). Injured participants improved their mBESS score measured by SWAY at four weeks following their initial assessments (t = 3.31, p = 0.004; Baseline: 74.2 +/- 16.1, 4-weeks: 82.7 +/- 9.5). The mBESS measured by the SWAY App demonstrated moderate to good correlation with a laboratory measure of static balance (r = -0.59, p \< 0.001). The mBESS assessed with a mobile device application is a valid and responsive clinical tool for evaluating static balance. The tool demonstrated construct (known groups) validity detecting balance differences between a healthy and injured group, concurrent validity demonstrating moderate to good correlation with established laboratory measures, and responsiveness to changes in static balance in military Cadets during recovery from an acute ankle sprain. Level 3.

Safe beach: service for emergency notification and assistance in coastal bathing areas

On the vast Brazilian beaches, which stretch for more than seven thousand kilometers and attract numerous tourists, safety emerges as a crucial concern. The shortage of lifeguards and the lack of human resources have generated concern due to the incidence of fatal accidents in bathing areas with low protection coverage. To reinforce security logistics on the coast, the “Safe Beach” service was created, which allows swimmers to report emergencies and call lifeguards based on their location through an application for mobile devices. This article explores the functionality of the service, highlighting its potential for reducing the response time of lifeguard teams, preventing incidents in risk areas and improving safety on beaches in Brazil. It also addresses the importance of responsible use of the service and the legal implications for those who use it improperly. The combination of advanced technology, usage records and cooperation with local authorities makes Safe Beach a powerful tool for ensuring safety on beaches and agile response in emergency situations, contributing to a safer and more peaceful experience for bathers.

ImageAssist: A Novel Smartphone Application for Standardized Clinical Photography That Implements and Automates American Society of Plastic Surgery/Plastic Surgery Foundation Photographic Guidelines With Background Deletion.

Standardized medical photography of the face is a vital part of patient documentation, clinical evaluation, and scholarly dissemination. Because digital photography is a mainstay in clinical care, there is a critical need for an easy-to-use mobile device application that could assist users in taking a standardized clinical photograph. ImageAssist was developed to answer this need. The mobile application is integrated into the electronic medical record (EMR); it implements and automates American Society of Plastic Surgery/Plastic Surgery Research Foundation photographic guidelines with background deletion. A team consisting of a craniofacial plastic surgeon and the Health Information Technology product group developed and implemented the pilot application of ImageAssist. The application launches directly from patients' chart in the mobile version of the EMR, EPIC Haiku (Verona, Wisconsin). Standard views of the face (90-degree, oblique left and right, front and basal view) were built into digital templates and are user selected. Red digital frames overlay the patients' face on the screen and turn green once standardized alignment is achieved, prompting the user to capture. The background is then digitally subtracted to a standard blue, and the photograph is not stored on the user's phone. ImageAssist initial beta user group was limited to 13 providers across dermatology, ENT, and plastic surgery. A mix of physicians, advanced practice providers, and nurses was included to pilot the application in the outpatient clinic setting using Image Assist on their smart phone. After using the app, an internal survey was used to gain feedback on the user experience. In the first 2 years of use, 31 users have taken more than 3400 photographs in more than 800 clinical encounters. Since initial release, automated background deletion also has been functional for any anatomic area. ImageAssist is a novel smartphone application that standardizes clinical photography and integrated into the EMR, which could save both time and expense for clinicians seeking to take consistent clinical images. Future steps include continued refinement of current image capture functionality and development of a stand-alone mobile device application.

GEOSILENCE – LOCATION TRIGERRED DEVICE MUTING

Mobile devices have become an integral part of human lifestyle. The convenience offered by mobile devices usage can’t be denied. However, there are growing concerns about the disturbances caused by usage of mobile devices. One of the concerns is the disturbances caused by ringing sound of mobile devices at places that require silence such as mosque, library, cinema, and meeting room. Mobile device owners often forget to turn on silence mode on their devices in these places. To overcome such problem, this paper proposes an auto-notification application for mobile device using geofencing technique. Geofencing technique is used to detect virtual boundary that have been preset around required places. When a user enters the particular place, the application will detect that the user’s mobile device has crossed the virtual boundary and will automatically notify the user to turn the silence mode on the device. The opposite process will happen when the user crosses the boundary to exit the place. The main advantage of the application is that it will remind mobile device users to mute their devices when they are entering places that require silence. Nearly everything around us holds significance, be it data, expensive items, land, people and/or animals. It is essential that we keep all that matters to us safe and secure. To employ the highest form of security, we want to keep track of all the significant things on our own. This gives rise to the need for the meantime tracking o anything which is highly valuable to us. Hence, GPS tracking is employed in this technological solution to keep track. Innovative technology, based on telematics and satellite positioning, is the subject of this study on geofencing. With the use of geofencing technology, users can create virtual boundaries in the context of the actual world. By automatically detecting when monitored mobile items enter or leave geographical areas that are encircled by a virtual fence, it aids in the surveillance of those areas. A geofence is a virtual barrier that is set up around a specific region of interest utilizing several technologies, including Wi-Fi, cellular mobile, RFID, and GPS. A specific radius area on the map can be specified by the user. If any entry or exit is made from that location, they will be updated in real time. This assures the asset's safety and security and provides a system for inspection to deter any unwanted activity. Keyword : Auto notification,Cellular mobile, Geofencing, GPS, Mobile device, RFID, Window phone.

Development of a mobile app to optimize organization and assessment for clinical teaching in dentistry

The aim of the current study was to develop an application for mobile devices that can improve the organization and documentation of clinical teaching in dental schools. The app should include a calendar to organize treatments, an overview of all treatments including the treatment stages, a digital waiting-list for the teacher’s assessment, and a standardized recording of all assessment results. Students and members of a Medical Faculty and a Faculty of Computer Science and Business Information Systems jointly developed the app. Twenty-three students tested the usability after 4 weeks. Next, the new app was tried and tested by n = 79 forth-year students who used it for 2 months during their clinical course. Fifth-year students of the same clinical course who did not use the app constituted the control group. Afterwards, the app was standard implemented in both integrated clinical courses and evaluated after 1 year by the same students both in winter and summer semester. After usability test, the majority of students (81%, n = 18) said they would recommend the app and gave it a mean overall score of 2.0 ± 0.6. Next, course organization and assessment was evaluated by n = 75 fourth-year students (95%) who used the app and by n = 40 control students (74%) who did not use the app. Students who used the app reported significantly better organization of treatment ( p = .002), documentation of treatment ( p = .001), waiting for the teacher’s assessment ( p = .038), overview of treatment sessions ( p = .040), and transparency of grading and assessment ( p = .012). After 12 months, the now fifth-year students still gave very good ratings for the organization of the treatment and the transparency of the grading in both evaluations, so that no significant changes were detectable (organization p = .959 and the rating p = .751). The newly created app improves the organization and evaluation of clinical education and even after 1 year of service, the students still perceive the consistently high advantages of digitization.

Design and Simulation of an Ultra-Low-Power Hydrogen Sulfide Gas Sensor with a Cantilever Structure.

Metal oxide gas sensors usually require a few tens of milliwatts of power consumption to operate at high temperature, which limits their application in mobile and portable devices. Here, we proposed a cantilever structure to build an ultra-low power gas sensor for hydrogen sulfide gas detection. By employing a nano-film size effect to reduce the thermal conductivity of the material, and self-heated corrugation configuration, the power consumption of the gas sensor is significantly reduced. Through numerical analysis and finite element simulation, two different gas sensors were designed and the power consumption and stress distribution were analyzed and optimized. Under the operating temperature of 200 °C, only 0.27 mW power is consumed, the stress value is less than 250 MPa and the displacement is a few hundred of nanometers. The results serve as a guide and reference for ultra-low power MEMS device designs.

8. META-HEALTH. USING THE METAVERSE TO FACILITATE THE UNDERSTANDING OF THE PATIENT'S INFORMED CONSENT AND THEIR PERIOPERATIVE PROCESS

Abstract Introduction The informed consent (IC) process can sometimes result in a lack of understanding due to the technical nature of the information provided. Coupled with the physical disorientation within the hospital, this can lead to perioperative anxiety and a greater risk of complications. Methods META-health is an application for mobile devices that seeks to improve these deficiencies using metaverse and extended reality visualization technologies. By recreating the hospital environment in a virtual setting, it allows repeating the preoperative consultation and visualization of various hospital areas, including the hospitalization floor, operating room, and consultation spaces. Multimedia content is included so that the information can be more easily understood. In addition, gamification has been implemented as an option to integrate entertainment into the understanding process of stomatal management. Results The pilot application was modeled and developed, and the first focus group was held to assess the quality, management, orientation, and comprehension of content. The sample of 12 patients indicated proposals for improvement and functional errors: 66.7% required control of the explanatory videos, 75% requested information on ostomies and difficulties in handling the joystick. The application is currently focused on colorectal cancer patients and intends to expand to other conditions and functionalities to become a functional metaverse. Finally, 100% of participants confirmed the usefulness of the idea and the importance of receiving information and support throughout the process. Conclusion The use of extended reality and the metaverse improves the understanding of informed consent (IC) by patients and relatives, as well as decreases perioperative anxiety.

A conceptual framework for context-driven self-adaptive intelligent user interface based on Android

Adaptive User Interface (AUI) can change its layout, appearance, and/or elements based on the needs of its user requirements and current usage context. The AUIs are used in state-of-the-art software products, applications for mobile devices, and websites. Moreover, AUI is an emerging research field in a mobile context, as it can enhance usability, performance, and user satisfaction. This study aims to propose a conceptual framework for developing a real-time self-adaptive user interface based on the Android Operating System (OS). Furthermore, the focus is on developing the core algorithms for the modules of the proposed framework. To evaluate the performance of the proposed framework, three case studies have been designed based on the daily and weekly activities of the user. Moreover, an expert-based validation approach is employed to obtain the expert’s feedback regarding the proposed framework. The result indicates that the proposed framework helps improve user satisfaction and experience by making an intelligent mobile device interface. The results of the framework’s evaluation and validation show the proposed framework’s feasibility and effectiveness. We conclude that the current work is beneficial in filling the identified research gap. Moreover, this research shows the significance of an adaptive interface in an Android OS-based context. In addition, it not only helps in improving the user interest and satisfaction but also enhances the overall performance of the mobile device.

Modern information technology in cardiac rehabilitation. Applications for mobile devices (review)

Using information technologies at all stages of patient care is necessary at the current state of medical development. It is particularly important to implement innovative information technologies in the management of patients with cardiovascular diseases in the outpatient setting, in secondary prevention and rehabilitation that continues throughout life. Various wearable devices for hemodynamic monitoring, electrocardiographic and physical activity assessment, that help the patient`s condition during rehabilitation, have been widely used in clinical practice all over the world. However, considering the outpatient setting, a cardiologist or rehabilitologist should to be able to monitor the data obtained using a single source, and to communicate with the patient in order to adjust treatment. Applications for mobile devices providing feedback can be a convenient tool in this regard. To date, many applications have been developed for smartphones, including those that synchronize with wearable devices, to record patient parameters, including the level of physical activity. Most of them are limited by self-control. Both in Russia and in other countries, a number of problems and limitations associated with the use of these technologies are related to the patient, the imperfection of the health care system, and problems with the devices themselves. The present article is devoted to an overview of existing remote rehabilitation technologies focusing on the applications for mobile devices. The authors present a short summary on domestic and international development in information technologies, identify the problems and future development of this area in health care.

Optimization of Higher Education Teaching Methodology System Based on Edge Intelligence

Abstract This study provides an in-depth research on the dynamic allocation of resources in higher education teaching and learning, especially in the application of edge intelligence architecture. In the study, the characteristics of edge intelligence and its application in smart mobile devices (SMDs) are first analyzed, highlighting the role of mobile edge computing (MEC) in reducing latency and improving the quality of user experience. Then, the study adopts a data acquisition method based on deep neural network (DNN) model to optimize the edge training model. The experimental results show that the efficiency of edge computing can be significantly improved by optimizing the allocation of computing resources and reducing the data transmission delay. Specifically, the total training delay and energy consumption of the edge server are reduced under different global iteration numbers in the experiment. In addition, the study also explores the integration of 5G networks and AR/VR technology in education. It proposes a teaching optimization model based on edge intelligence, improving interaction quality and learning efficiency in AR/VR safety education classrooms. The study shows that the teaching model performs well in reducing latency and increasing transmission rate, which is especially suitable for dual-teacher classroom scenarios and provides a new perspective for future higher education teaching.

Intraoperative mixed-reality spinal neuronavigation system: a novel navigation technique for spinal intradural pathologies.

The objective of this study was to assess the intraoperative accuracy and feasibility of 3D-printed marker-based mixed-reality neurosurgical navigation for spinal intradural pathologies. The authors produced 3D segmentations of spinal intradural tumors with neighboring structures by using combined CT and MRI, and preoperative registration of pathology and markers was successfully performed. A patient-specific, surgeon-facilitated application for mobile devices was built, and a mixed-reality light detection and ranging (LIDAR) camera on a mobile device was employed for cost-effective, high-accuracy spinal neuronavigation. Mobile device LIDAR cameras can successfully overlay images of virtual tumor segmentations according to the position of a 3D-printed marker. The surgeon can visualize and manipulate 3D segmentations of the pathology intraoperatively in 3D. A 3D-printed marker-based mixed-reality spinal neuronavigation technique was performed in spinal intradural pathology procedures and has potential to be clinically feasible and easy to use for surgeons, as well as being time saving, cost-effective, and highly precise for spinal surgical procedures.

Analysis of methods for detecting attacks on facial biometric authentication in mobile devices

The object of the research is facial biometric authentication in the context of mobile devices (financial and government applications, etc.) of the Android and IOS platforms. The subject of the research is methods of detecting attacks on biometric authentication by face in mobile devices. The purpose of the work is to investigate the methods of creating and recognizing Deepfake videos, to evaluate the possibility of local recognition of fakes within applications in mobile devices of the Android and IOS platforms.&#x0D; As a result, the vulnerability of biometric authentication to Deepfake technology was confirmed, methods for recognizing fakes were analyzed, and the effectiveness of using a neural network model for local recognition of Deepfake in a mobile device was experimentally confirmed. Conclusions are drawn about possible ways to optimize the size of the model with an emphasis on maintaining accuracy.

Hardware Accelerated Optimization of Deep Learning Model on Artificial Intelligence Chip

With the rapid development of deep learning technology, the demand for computing resources is increasing, and the accelerated optimization of hardware on artificial intelligence (AI) chip has become one of the key ways to solve this challenge. This paper aims to explore the hardware acceleration optimization strategy of deep learning model on AI chip to improve the training and inference performance of the model. In this paper, the method and practice of optimizing deep learning model on AI chip are deeply analyzed by comprehensively considering the hardware characteristics such as parallel processing ability, energy-efficient computing, neural network accelerator, flexibility and programmability, high integration and heterogeneous computing structure. By designing and implementing an efficient convolution accelerator, the computational efficiency of the model is improved. The introduction of energy-efficient computing effectively reduces energy consumption, which provides feasibility for the practical application of mobile devices and embedded systems. At the same time, the optimization design of neural network accelerator becomes the core of hardware acceleration, and deep learning calculation such as convolution and matrix operation are accelerated through special hardware structure, which provides strong support for the real-time performance of the model. By analyzing the actual application cases of hardware accelerated optimization in different application scenarios, this paper highlights the key role of hardware accelerated optimization in improving the performance of deep learning model. Hardware accelerated optimization not only improves the computing efficiency, but also provides efficient and intelligent computing support for AI applications in different fields.

A SaaS Concept-Based Shopping Center Fire Risk Assessment Model for the Safety Management Applications

This paper proposes a solution to the problem of software absence for the quantitative fire safety analysis of complex objects, which is suitable not only for highly qualified scientists and experts but also for fire safety engineers and inspectors and is compatible with mobile devices. Existing software solutions for quantitative fire safety analysis are desktop-based, and all require a high level of competence of users. We propose a solution by combining the formalism of typical probabilistic structural–logical (TPSL) models, the Software-as-a-Service (SaaS) concept, and end-to-end encryption. Using TPSL models allows the development of cloud-based applications with a simple request-based application programming interface and intuitively understandable user interface to assess the level of safety of complex objects. As a result, we could use such mobile device-ready applications both for developing mobile device applications and developing mobile-device-friendly website-based services to carry out safety control inspections or level of safety management.