Client App Research Articles

Research on Laboratory Construction and Management Based on Internet of Things and Deep Learning

A computer laboratory intelligent management and control system based on Internet of Things technology and deep learning is proposed to address the shortcomings of traditional university laboratory management.The system adopts the main embedded technology, mobile communication technology, wireless sensor technology and database storage technology in the Internet of Things technology, laboratory areas and equipment, identify and collect relevant data, monitor abnormal conditions in real time, and alarm. At the same time, the user is provided with a preview of the experimental content and a demonstration of the results through the handheld client APP. The experimental results show that: when the system is powered by 0.35A current, the total system power is about 3W. The NTC thermistor used has a B value of 3435. Under normal temperature, T2 = 298.15K,R = 10KΩ,R0 = 10KΩ. The current temperature value can be calculated according to the value obtained after the analog-to-digital conversion of the microcontroller. The output frequency of the humidity detection circuit is measured by the single-chip microcomputer, and the current ambient humidity can be obtained by substituting the result into the above formula, that is, when the output frequency dimension of the circuit is 6853Hz, the ambient humidity is 40%. Through the application of this system, the inefficient and extensive manual management method of the computer experimental teaching center is completely solved, so that it can bring more intelligent and efficient services to the teachers and students of the whole school, so as to comprehensively promote the experimental teaching of the school.

Research on the Car Searching System in the Multi-Storey Garage with the RSSI Indoor Locating Based on Neural Network

To solve the problem of reverse car searching in intelligent multi-story garages or parking lots, the reverse car searching method based on the intelligent garage of the PC client and mobile client APP was studied, and the interface design and function development of the system’s PC and mobile client APP were carried out. YOLOv5 network and LPRNet network were used for license plate location and recognition to realize parking and entry detection. The indoor pedestrian location method based on RSSI fingerprint signal fusion BPNet network and KNN algorithm was studied, and the location accuracy within 2.5 m was found to be 100%. The research on the A* algorithm based on spatial accessibility was conducted to realize the reverse car search function. The research results indicate that the guidance of the vehicle finding path can be completed while the number of invalid search nodes for the example maps was reduced by more than 55.0%, and the operating efficiency of the algorithm increased to 28.5%.

Blockchain Enhanced Stock Trading Application

Stock exchange works and functions in a very inconvenient and hectic way because of post-trade processes which are cost-inefficient, time-consuming and can be prone to numerous risks. This motivates us to experiment with new technologies like blockchain which has immense potential to change the process of post-trading. In this paper, we propose an implementation of a stock trading application built on Hyperledger Fabric, a hybrid blockchain architecture. The network for our application is built using Hyperledger Composer framework. All the transactions done on the client app are recorded and appended to the Fabric with the help of a REST server. Fabric contains various security measures such as Access Control Lists and channels to ensure only authorized users to have access to those transactions. Before the users can perform any transactions, they will be given an identity card containing the certificates and credentials required to access the blockchain network. With our approach, we aim to significantly cut the transaction costs of exchanging shares and bring about a seamlessly efficient platform where participants would confirm trades via a distributed ledger

Visualization Techniques via MLBS for Personnel Management in Major Events

Mobile location-based services (MLBS) refer to services around geographic location data. Mobile terminals use wireless communication networks (or satellite positioning systems) to obtain users’ geographic location coordinate information based on spatial databases and integrate with other information to provide users with required location-related services. The development of systems based on MLBS has significance and practical value. In this paper a visualization management information system for personnel in major events based on microservices, namely MEPMIS, is designed and implemented by using MLBS. The system consists of a server and a client app, and it has some functions including map search and query, personnel positioning and scheduling, location management, messaging, and location service. Managers of the events can quickly search and locate the staff on the specific area of the map in real-time, and make broadcasting messages to the staff, and manage the staff. The client app is developed on the Android system, by which staff users can send the positions information to the server timely. The client users can search fuzzily near their peers and list their locations, and also call near peers through sending messages or query the history record of staff locations. In the design of the system, several new proposed techniques, including visual annotation method for overlapping locations, correcting trajectory drift algorithm, microservices-based overall system architecture methodology and other new techniques, which are applied to the implementation of the system. Also, HTML5, JQuery, MLBS APIs (Application Program Interfaces) related programming techniques have been used and combined with loading Ajax asynchronously and Json data encapsulation, map marker optimization techniques, that can improve the positioning accuracy and the performance of the system. The developed system with practical functions can enhance the efficiencies of the organization and management of major events.

A novel immersive virtual reality environment for the motor rehabilitation of stroke patients: A feasibility study.

We designed and implemented an immersive virtual reality (VR) environment for upper limb rehabilitation, which possesses several notable features. First, by exploiting modern computer graphics its can present a variety of scenarios that make the rehabilitation routines challenging yet enjoyable for patients, thus enhancing their adherence to the therapy. Second, immersion in a virtual 3D space allows the patients to execute tasks that are closely related to everyday gestures, thus enhancing the transfer of the acquired motor skills to real-life routines. Third, in addition to the VR environment, we also developed a client app running on a PC that allows to monitor in real-time and remotely the patients’ routines thus paving the way for telerehabilitation scenarios. Here, we report the results of a feasibility study in a cohort of 16 stroke patients. All our patients showed a high degree of comfort in our immersive VR system and they reported very high scores of ownership and agency in embodiment and satisfaction questionnaires. Furthermore, and notably, we found that behavioral performances in our VR tasks correlated with the patients’ clinical scores (Fugl-Meyer scale) and they could thus be used to assess improvements during the rehabilitation program. While further studies are needed, our results clearly support the feasibility and effectiveness of VR-based motor rehabilitation processes.

GEO COLLECTOR BOT: A TELEGRAM-BASED OPEN TOOLKIT TO SUPPORT FIELD DATA COLLECTION

Abstract. Georeferenced field data collection has become a popular practice allowing everyone to contribute to mapping objects or reporting events. The spread of mobile devices - capable of recording and sharing location coordinates, media and features while on the go - is primarily accountable for such diffusion. Accordingly, a number of mobile apps and software frameworks have been developed and released to perform field data collection. These frameworks allow to customize and dispatch collection forms as well as to manage contributors and records through web interfaces or database management systems. From the contributors’ perspective, specific mobile client apps need to be installed to access selectively the collection forms and contribute to the data collection on the field using their mobile devices. This operation might inhibit the sporadic contribution of occasional users who may not be willing to install additional software. To overcome this limitation, this work presents the Geo Collector Bot, an alternative software toolkit to empower field data collection projects avoiding the development and/or the installation of a specific mobile app on contributors’ devices. The Geo Collector Bot is a configurable Telegram-based chatbot enabling to dispatch of data collection forms that can be activated and filled in through Telegram chats. The ultimate goal of the presented work is to provide an alternative free and open-source software framework suitable for general-purpose field data collection applications. Development patterns and system architecture are described in detail alongside future improvements and outlooks for the Geo Collector Bot project.

Design of College Physical Education Curriculum Based on Mobile App Development Platform

As a new term, mobile client app is common in the software market and has mature commercial cases, while for mobile client app of educational content, it is relatively new. The purpose of this paper is to design the sports curriculum app in line with the current university. This paper uses the research method of questionnaire to investigate and analyze the current situation of the organization and management of sports activities and public sports facilities of college students in Taian. Based on the analysis of the influence of sports app on college students’ sports behavior, it constructs the theoretical framework of school campus sports management system with app as the carrier. The experimental results show that about 41% of the students in the city use sports app, mainly including running app and fitness app. It can have a significant and positive impact on students’ physical activity and sports motivation, but it has no significant effect on students’ choice of sports. Through the realization of the physical education teaching function of the campus sports app, students can get rid of the restriction of venue, organization form, and time and make students exercise independently under the guidance of science and system. This design has very important practical significance.

OAuth 2.0 : Architectural design augmentation for mitigation of common security vulnerabilities

OAuth 2.0 is a widely used authorization protocol for cloud based web services and is used by many big firms such as Google, Facebook, Microsoft for granting limited access to the data. OAuth 2.0 has a flexible design and can be implemented and configured in a number of ways according to the use case. However, each of these implementation decisions and configuration choices come with their respective security implications. In our research, we carry out a simulation of the OAuth 2.0 protocol and suggest additional features which can augment the architectural design and enhance overall security effectiveness of the protocol. The protocol classifies third-party client apps based on their ability to maintain the confidentiality of the secret keys and the method used by them to register with the authorization servers. The protocol further offers various options to send access tokens to third-party client apps. In our research, we suggest converging these different third-party client app types and implementation options into a single uniform client app type and operational flow, thereby reducing the complexity in decision making, implementation, security misconfigurations and maintenance of different codebases. We also propose incorporating 2FA (Two Factor Authentication) as a feature for authentication of third-party client apps in addition to the existing mechanism of basic authentication through client secret. We also advocate measures to utilize digital signatures and cryptography to mitigate the common risks and vulnerabilities associated with misuse of tokens, which are issued and exchanged at various stages of the OAuth process including access to protected resources.

Design of Smart Home Control System of Internet of Things Based on STM32

In order to further reduce the cost and power consumption of smart homes, and increase the control methods of smart homes, a smart home monitoring system based on STM32 single-chip microcomputer is designed. The system uses STM32F103C8T6 as the main control chip, which collects the data information of temperature, humidity, light intensity, PM2.5 and methane concentration sent by the sensor, supplemented by a WIFI module, and uses ESP8266WIFI communication technology to transmit the data to the platform. The system test results show that when the room temperature exceeds 26 degrees, the refrigeration relay module works. When the PM2.5 concentration exceeds 150μg/m3, the fan turns on. When the methane concentration in the natural gas exceeds 1600 ppm, the buzzer alarms and the curtain relay works. System users can monitor and display home measurement data through OLED screens, Qt interface, mobile apps, and monitor and display home measurement data. Users can remotely monitor home conditions through the mobile client APP, and realize functions such as home temperature control, environmental detection, and curtain control.

COMPARISON OF HIGH-LEVEL ATHLETE TRAINING BETWEEN CHINESE AND AMERICAN UNIVERSITIES BASED ON THE INTERNET OF THINGS

ABSTRACT In order to improve the training quality of high-level athletes in Chinese and American universities, an athlete’s sports information transmission model is designed based on the Internet of Things (IoT). The communication protocol between Ayla module and the main motion control board, Ayla module and client APP or cloud platform, and APP and cloud platform in the system is designed in detail. For the Ayla module, the most important hardware part of the system, the internal composition and software design are described. In the mobile phone client part that is closely related to the user, the MVC architecture is adopted, the singleton and agent design patterns are utilized, and the functional design of each part is elaborated, including APP interface animation, data transmission format, network communication, and database storage. The research results show that the system of this study can handle most of the athlete training information, and the prediction accuracy exceeds the traditional algorithm. This research study is of great significance for improving the training efficiency of high-level athletes and further expanding the scope of application of the IoT.

The Influence of Short Video Platform on Audience Use and Reflections—Take TikTok as an example

In the context of the strict prevention and control of the epidemic in 2021, short video platforms have become a popular choice for entertainment, and it is common for TikTok to be the top download of video and audio in the mobile client app download list. In the four months from mid-December 2020 to mid-April 2021, downloads have grown from 5.04 billion to 5.8 billion. While TikTok has a large number of users, its shortcomings, such as vulgar, plagiarism and privacy disclosure, cannot be ignored. How to solve them has become a top priority. Whether TikTok can meet users' demands and guide users to think about whether they can co-existence and how to balance both of them will need to be further explored.

Analysis of Instant Messaging Applications

This paper reports on an ongoing project related to Chat Applications. The rapid development of many modern communication technologies have given users many more options for communicating in their workplace and personal life of these new communication technologies, instant messaging is one of the most proliferating communication technologies adopted. Instant messaging protocols have also enabled the users to interact in a more faster way as compared to some other protocols like e-mail. We will study that how we can efficiently integrate real-time chat into the client app.

Self-learning Courses EaD to qualify clinical practice

Abstract Background Health service evaluation studies point to the low quality of care, however the permanent education of health professionals is a major challenge. Within the scope of the Open University for the Unified Health System (SUS), the Department of Social Medicine of the Federal University of Pelotas produced open access self-learning courses, for primary health care, based on interactive clinical cases, through distance learning. Methods The courses, with 45 hours, provides interactive clinical cases, medical calculators and textual materials for use by the professional or with the community. The cases are presented and followed by multiple choice questions, focusing diagnosis and treatment. The feedback is automatic. An expanded theoretical content ('learn more') that privileges the use of illustrations, images, infographics and flowcharts useful for professional practice can be accessed. Bibliographical references on the subject are also available. The courses are available in a responsive web client app, for various types of devices, providing control of progress and automatic certification. The app allows the work offline, enabling the permanent education of professionals working in remote areas. Results Six courses were produced for doctors, nurses and dentists, more than 30,000 users were certified. Conclusions This problem-based learning initiative allows the student to have a menu of cases, providing a choice of the subject, decision on the time allocated to the activity, repetition according to its need, access to a large bibliography and reading in the quantity and depth chosen by the student. In addition, the format is challenging and develops clinical reasoning. The proposition of questions promotes the reflection of the student in relation to his knowledge on the subject. Automatic feedback, 'learn more' and selected bibliographies provide formative assessment and subsidize students to define their study needs in each subject. Key messages Distance learning expands the possibility of qualifying the clinical practice of health professionals, especially those in remote areas. Interactive clinical cases provide the development of clinical reasoning, content review and promote formative assessment.

Making Self-Management Mobile Health Apps Accessible to People With Disabilities: Qualitative Single-Subject Study.

BackgroundOver the past decade, a large number of mobile health (mHealth) apps have been created to help individuals to better manage their own health. However, very few of these mHealth apps were specifically designed for people with disabilities, and only a few of them have been assessed for accessibility for people with disabilities. As a result, people with disabilities have difficulties using many of these mHealth apps.ObjectiveThe objective of this study was to identify an approach that can be generally applied to improve the accessibility of mHealth apps.MethodsWe recruited 5 study participants with a primary diagnosis of cerebral palsy or spinal cord injury. All the participants had fine motor impairment or lack of dexterity, and hence, they had difficulties using some mHealth apps. These 5 study participants were first asked to use multiple modules in the client app of a novel mHealth system (iMHere 2.0), during which their performance was observed. Interviews were conducted post use to collect study participants’ desired accessibility features. These accessibility features were then implemented into the iMHere 2.0 client app as customizable options. The 5 participants were asked to use the same modules in the app again, and their performance was compared with that in the first round. A brief interview and a questionnaire were then performed at the end of the study to collect the 5 participants’ comments and impression of the iMHere 2.0 app in general and of the customizable accessibility features.ResultsStudy results indicate that the study participants on their first use of the iMHere 2.0 client app experienced various levels of difficulty consistent with the severity of their lack of dexterity. Their performance was improved after their desired accessibility features were added into the app, and they liked the customizable accessibility features. These participants also expressed an interest in using this mHealth system for their health self-management tasks.ConclusionsThe accessibility features identified in this study improved the accessibility of the mHealth app for people with dexterity issues. Our approach for improving mHealth app accessibility may also be applied to other mHealth apps to make those apps accessible to people with disabilities.

An Integrated Wearable Wireless Vital Signs Biosensor for Continuous Inpatient Monitoring

A compact, light-weight and low-power wireless vital signs monitoring system based on Wireless Body Area Network (WBAN) protocol has been developed. The system, VySys, includes two compact wearable wireless biosensor devices for continuous vital signs capturing and transmission, a gateway to relay the message collected from the biosensors to cloud, and finally a client apps to access and display the stored data in the cloud. Both biosensor devices can last for 24 hours and weigh less than 22 g and 44 g, respectively. They consist of proprietary in-house bio-sensing integrated circuit (IC) and commercial off-the-shelf Bluetooth Low Energy (BLE) module. VySys has been deployed in clinical trials with 14 subjects. From the studies, the accuracy and advantage of VySys are evaluated and the five vital signs captured (heart rate (HR), respiration rate (RR), temperature (TMP), oxygen saturation (SpO2) and systolic blood pressure (SBP)) are benchmarked against a commercial medical-grade device. The results show strong statistical correlation ( $ {r} > 0.68$ ). In terms of clinical significance, all its mean difference are within limits of accepted clinical discrepancies. In terms of efficacy by comparing against the best known reported results, (1) VsSys is more precise by 28.2%, 36.2%, 70.0%, 37.6% and 34.4% for HR, RR, TMP, SpO2 and SBP, respectively and (2) has a narrower 95% limit of agreement (LoA) by 24.5%, 23.9%, 50.6%, 37.4% and 34.4% for HR, RR, TMP, SpO2 and SBP, respectively.

Sustainable e-learning for theologians in hard-to-reach areas: The Bible Online Learner App

Madagascar is ranked at 154 on the human development index. During the dry period, it is hit by daily blackouts. Internet connections are poor. This makes e-learning difficult. My paper will present a possible solution to this problem: I will present a technical solution of how to realize e-learning systems for theologians in hard-to-reach areas by using Raspberry Pi mini-computers as servers and explain why so-called progressive web apps, which are single page-apps are now suitable for this approach; rather I will show how a client-server solution with a Raspberry Pi Server hosting an Emdros database of the Hebrew Bible and a native Android App, written in Java can provide Bible Online Learner Network Kits. The Raspberry Pis are set up as servers in independent computer networks, which do not rely on an internet connection and which are mobile access points. These servers handle the backend code, have the logic to create random exercises for the Bible OL App and send this information via a JSON string to the client app, realized as an Android app written in Java. For this client-side development I paid special attention to the challenges of computer illiterate students. I solved these challenges by using picture-based logins. As a result I developed the design für the Bible Online Learner App and the Bible Online Network Kit, which works with power banks as uninterruptable power supplies as well as a solar power kit, which enables e-learning in hard-to-reach areas in Africa even during the dry season.

Enabling multi-hop remote method invocation in device-to-device networks

To avoid shrinking down the performance and preserve energy, low-end mobile devices can collaborate with the nearby ones by offloading computation intensive code. However, despite the long research history, code offloading is dilatory and unfit for applications that require rapidly consecutive requests per short period. Even though Remote Procedure Call (RPC) is apparently one possible approach that can address this problem, the RPC-based or message queue-based techniques are obsolete or unwieldy for mobile platforms. Moreover, the need of accessibility beyond the limit reach of the device-to-device (D2D) networks originates another problem. This article introduces a new software framework to overcome these shortcomings by enabling routing RPC architecture on multiple group device-to-device networks. Our framework provides annotations for declaring distribution decision and out-of-box components that enable peer-to-peer offloading, even when a client app and the service provider do not have a direct network link or Internet connectivity. This article also discusses the two typical mobile applications that built on top of the framework for chatting and remote browsing services, as well as the empirical experiments with actual test-bed devices to unveil the low overhead conduct and similar performance as RPC in reality.

An Adaptive Mobile Health System to Support Self-Management for Persons With Chronic Conditions and Disabilities: Usability and Feasibility Studies.

BackgroundPersons with chronic conditions and disabilities (PwCCDs) are vulnerable to secondary complications. Many of these secondary complications are preventable with proactive self-management and proper support. To enhance PwCCDs' self-management skills and conveniently receive desired support, we have developed a mobile health (mHealth) system called iMHere. In 2 previous clinical trials, iMHere was successfully used to improve health outcomes of adult participants with spina bifida and spinal cord injury. To further expand use of iMHere among people with various types of disabilities and chronic diseases, the system needs to be more adaptive to address 3 unique challenges: 1) PwCCDs have very diverse needs with regards to self-management support, 2) PwCCDs’ self-management needs may change over time, and 3) it is a challenge to keep PwCCDs engaged and interested in long-term self-management.ObjectiveThe aim of this study was to develop an adaptive mHealth system capable of supporting long-term self-management and adapting to the various needs and conditions of PwCCDs.MethodsA scalable and adaptive architecture was designed and implemented for the new version, iMHere 2.0. In this scalable architecture, a set of mobile app modules was created to provide various types of self-management support to PwCCDs with the ability to add more as needed. The adaptive architecture empowers PwCCDs with personally relevant app modules and allows clinicians to adapt these modules in response to PwCCDs’ evolving needs and conditions over time. Persuasive technologies, social support, and personalization features were integrated into iMHere 2.0 to engage and motivate PwCCDs and support long-term usage. Two initial studies were performed to evaluate the usability and feasibility of the iMHere 2.0 system.ResultsThe iMHere 2.0 system consists of cross-platform client and caregiver apps, a Web-based clinician portal, and a secure 2-way communication protocol for providing interactions among these 3 front-end components, all supported by a back-end server. The client and caregiver apps have 12 adaptive app modules to support various types of self-management tasks. The adaptive architecture makes it possible for PwCCDs to receive personalized app modules relevant to their conditions with or without support from various types of caregivers. The personalization and persuasive technologies in the architecture can be used to engage PwCCDs for long-term usage of the iMHere 2.0 system. Participants of the usability study were satisfied with the iMHere 2.0 client app. The feasibility evaluation revealed several practical issues to consider when implementing the system on a large scale.ConclusionsWe developed an adaptive mHealth system as a novel method to support diverse needs in self-management for PwCCDs that can dynamically change over time. The usability of the client app is high, and it was feasible for PwCCDs to use in supporting personalized and evolving self-care needs.

Analysis of the Development of WeChat Mini Program

In 2017, we called it “WeChat Mini Program and the first year”. Since then, the development of the WeChat Mini Program has been booming. At present, the next generation of mobile Internet industry is developing toward the development of “micro, light, and small”, like the WeChat Mini Program, this revolutionary lightweight “APP” that does not require downloading, runs out, and simultaneously has information publishing, advertising, and service functions, will become the best choice to replace the mobile client APP. This article will analyze the system implementation and prospects of the WeChat Mini Program, and study the system architecture, key technologies and market prospects based on the WeChat “small program” development.

Exhibits Recognition System for Combining Online Services and Offline Services

In order to achieve a more convenient and accurate digital museum navigation, we have developed a real–time and online-to-offline museum exhibits recognition system using image recognition method based on deep learning. In this paper, the client and server of the system are separated and connected through the HTTP. Firstly, by using the client app in the Android mobile phone, the user can take pictures and upload them to the server. Secondly, the features of the picture are extracted using the deep learning network in the server. With the help of the features, the pictures user uploaded are classified with a well-trained SVM. Finally, the classification results are sent to the client and the detailed exhibition’s introduction corresponding to the classification results are shown in the client app. Experimental results demonstrate that the recognition accuracy is close to 100% and the computing time from the image uploading to the exhibit information show is less than 1S. By means of exhibition image recognition algorithm, our implemented exhibits recognition system can combine online detailed exhibition information to the user in the offline exhibition hall so as to achieve better digital navigation.