Search

With the entry of artificial intelligence and information technology, people's life has become more and more intelligent and information-based. Family life is essential for most people. In people's past subjective consciousness, housing only needs to meet people's living needs. Now people are more pursuing comfort, efficiency, safety, automation and intelligent high-level enjoyment, thus intelligent furniture came into being. Wireless communication is a communication method that uses electromagnetic wave signals to exchange information in free space. Compared with traditional communication methods, this communication method is more convenient and intelligent. While Internet technology has been widely used, wireless communication technology has also been continuously promoted and developed. A variety of mature network protocols have provided technical support for intelligent furniture and finally, realized a smart living environment. At present, the intellectualization of furniture design is mainly focused on the furniture itself, so it can only meet part of the needs of users and cannot realize the remote control of furniture equipment by users. This has affected the user's demand for furniture products in the next step and also affected the user's pursuit of a higher quality life. Under the background of intelligent furniture, this paper studied the mobile intelligent terminal in furniture design with wireless communication technology and proposed a mobile intelligent terminal system based on Zigbee wireless network communication technology by analyzing the functional partition and functional module design of intelligent furniture. Then, in order to make the network allocation in the system more reasonable, a distributed intelligent scheduling model of anti-interference link resources in wireless communication network was built. The final experimental results showed that the mobile intelligent terminal system proposed in this paper realized the remote control of intelligent furniture and a higher level of living environment and improved the satisfaction of furniture products by 4.21%. This also provided valuable reference for the next application of wireless communication technology in the home field. [ABSTRACT FROM AUTHOR]

Aiming at the limitations of traditional train comfort research in the long-term service monitoring of subway train comfort, this paper presents a comprehensive evaluation method of subway train comfort based on mobile terminals. By investigating the types of sensors integrated in mobile terminals, it is determined that the factors affecting the comfort of subway trains are vibration, noise and illuminance. Combined with questionnaire survey and analytic hierarchy process, the weight coefficients of each factor's influence on the comfort of subway trains are determined. The evaluation models and evaluation standards of each factor are established based on the existing standards and simulation experiments, and then the evaluation method of subway train comfort is determined. The proposed method is integrated into the self-developed mobile terminal APP to realize large-scale collection of train comfort data. In order to objectively verify the feasibility of this method, the experimental data from professional measuring instruments, mobile terminals and wearable devices are collected in the subway line experiment. The results of the analysis show that: when the train is running smoothly, the relative errors of the vibration, noise and illuminance comfort evaluation values collected by the mobile terminal shall not exceed 5%, 15% and 18% respectively; the noise comfort evaluation value accounts for 67.8% and 76.5% of the total evaluation value under two working conditions, therefore the greatest influence on train comfort is noise; the evaluation results of subway train comfort based on the proposed method tend to be consistent with the analysis results of heart rate variability frequency domain indicators (LF, HF and LF / HF ), which objectively verify the feasibility of the evaluation method. The mobile terminal-driven subway train comfort evaluation method can provide new ways and ideas for large-scale monitoring of subway train comfort and long-term service performance evolution analysis. [ABSTRACT FROM AUTHOR]

with the continuous development of communication technology, the rise and promotion of mobile terminals and the sound concept of digital learning are widely accepted. Mobile learning based on digital learning and mobile intelligent terminal technology has gradually attracted the attention of academic research and discussion circles. It can provide students with new learning experience of learning and training at any time. Due to the rapid development of social economy and science and technology, the application of science and technology in the education industry has also had a further development trend. Learners have also been looking for new learning methods to meet the complex and changing social development trend. This article studied the virtual reality human–computer interactive English teaching system based on mobile terminals and introduced the network topology of mobile learning environment and the elements of mobile learning service platform model. The design of virtual scene human–computer interactive English video teaching network resources was discussed. After the completion of the system construction, the relevant teaching practice was carried out. The practice results showed that 77.5% of the students agreed to the use of mobile terminals for English teaching, and 26.25% of them agreed very much. It could be seen that most students supported the English teaching mode of virtual reality human–computer interaction based on mobile terminals. [ABSTRACT FROM AUTHOR]

A miniaturized and wideband four-port multiple-input multiple-output (MIMO) antenna pair for Wi-Fi mobile terminals application is proposed. The proposed antenna pair consists of four multi-branch antenna elements arranged orthogonally, with an overall size of 40 × 40 × 3.5 mm3 and each antenna element size of 15.2 × 3.5 mm × 0.8 mm3. The performance of the proposed antenna shows the advantages of a wide frequency band, low mutual coupling, high efficiency, and a compact structure. The wideband characteristics of the antenna elements are achieved through multi-mode resonance. The suppression of coupling is accomplished by strategically positioning the four compact antenna elements to ensure their maximum radiation directions are orthogonal, thus eliminating the need for an additional decoupling structure. In this paper, the proposed antenna is optimized in terms of the parameters then simulated and measured. The simulated results illustrate that an impedance bandwidth of the antenna is about 15% (5.06~5.88 GHz) with S11 < −10 dB, excellent port isolation exceeds 20 dB between all ports, a high radiation efficiency ranges from 51.2% to 89.9%, the maximum gain is 4.5 dBi, and the ECCs are less than 0.04. The measured results show that the −10 dB impedance bandwidth of the antenna is about 13% (5.13~5.80 GHz), the isolation between the antenna elements is better than 21 dB, the radiation efficiency ranges from 51.8% to 92.3%, the maximum gain is 5.3 dBi, and the ECCs are less than 0.05. The proposed four-port MIMO antenna works on the 5G LTE band 46 and Wi-Fi 6E operating bands. As a mobile terminal antenna, the proposed design scheme demonstrates excellent performance and applicability, fulfilling the requirements for 5G mobile terminal applications. [ABSTRACT FROM AUTHOR]

An inverted L-shaped antenna pair that can be applied to zero-ground-clearance mobile terminal equipment is presented. One inverted L-shaped antenna was placed on the frame of a mobile terminal and the other on the ground near the frame. The two antennas were placed in parallel, 4 mm apart, and a neutralisation line was introduced between them to achieve decoupling. The neutralisation line was integrated with an inverted L-shaped antenna introduced above the ground, which did not occupy any other installation space. The installation space occupied by the antenna pair was 17 × 8 × 6.2 mm3 (0.2 × 0.09 × 0.07 λ3). The measured results show that the − 6 dB impedance bandwidth of the antenna is 3.29–3.64 GHz, the isolation in the 3.3–3.6 GHz band is greater than 19.5 dB, the envelope correlation coefficient (ECC) is less than 0.3, and the antenna efficiency is 77.6–99.8%. [ABSTRACT FROM AUTHOR]

Recently, due to the fast development in multimedia applications of wireless communication systems and demands of increasing the capacity and data rates to meet the requirements of 5G mobile communication systems, new transmission techniques are needed. One of the powerful enabling tools of the 5G communication systems is the multi-input multi-output (MIMO) antenna system employing multiple antennas and utilizing the multipath fading mobile environment to increase the channel capacity without any additional bandwidth and/or transmitted power. However, because of the limited space of mobile devices, the distances between antennas are decreasing. The mutual coupling between antennas severely affects the overall performance of the MIMO system. So, isolation improvement methods are applied to reduce these influences. In this review, different isolation techniques and their features and drawbacks are presented, and the techniques for applying them in modern MIMO antenna systems are illustrated. Besides, the performance characteristics of these MIMO systems are compared. The review also contains basic concepts of the MIMO antenna system and its performance metrics. Finally, the future directions and trends for the MIMO antenna system design are discussed briefly. [ABSTRACT FROM AUTHOR]

Research Highlights: This study examined the emotional and cognitive health benefits of nature in comparison with working memory training. It considered the long-term effects, the application of mobile terminal technology, and routine-based approaches with the aim of integrating nature's health benefits into people's daily lives. Background and Objectives: Infectious diseases and aging may limit people's activities indoors; the recovery effect of nature has been widely recognized, and terminal technology is developing rapidly. In this context, we want to explore the emotional and cognitive effects of viewing nature (VR) videos on mobile devices for a long time. Materials and Methods: The experiment employed a between-subjects design, with participants being randomly assigned to one of four groups: a forest VR video group, a water VR group, a working memory training group, and a control group. The participants watched the video three times a week for 20 min each for four weeks. The number of valid participants for compliance, preference, and willingness was 136, and the number of valid participants for the study of emotional and cognitive effects was 62. Brief Profile of Mood States (BPOMS) scales, running memory accuracy, shifting cost, etc., were used as indicators to reflect emotions and cognition. A repeated measures analysis of variance was performed on these indicators at four groups × two time points (pretest/post-test). Results: ① There were no significant differences in the participants' adherence, preferences, and willingness to watch different natural videos and perform working memory training. ② Long-term home training (e.g., watching VR nature videos or working memory training) may have had a minimal effect on emotional responses to mobile terminals. However, home training may be more conducive to the stabilization of anger. ③ Watching forest VR videos had a positive effect on the updating function of the brain; watching water VR videos was beneficial for the shifting function and automatic processing speed; and working memory training had a positive effect on the updating and shifting functions. Conclusions: There were no significant differences in adherence, preference, willingness, and effects on emotion and cognition between long-term forest VR video viewing, water VR video viewing, and working memory training on mobile terminals. All three types of home training may be beneficial for the stabilization of emotion (especially anger), and all can have some positive effects on cognition. [ABSTRACT FROM AUTHOR]

In the contemporary era, the ubiquity of mobile terminals has witnessed smartphones becoming an integral component of various daily life applications. An innovative access control system has been devised, harnessing smartphones with Ultra-Wideband (UWB) functionalities to ensure seamless entry. Initially, a data link between the smartphone and the UWB door lock controller is established via low-power Bluetooth, facilitating passive access permission authentication. Following this, distance and angle measurement sessions are instigated by the UWB door lock controller to ascertain the smartphone's relative position. Once a pre-defined unlocking threshold distance is achieved between the smartphone and the UWB door lock controller, an unlocking command is transmitted by the controller, prompting the actuation of the lock. By merely activating the UWB function and possessing the smartphone, users are afforded the luxury of effortlessly completing the unlocking sequence. This innovative UWB access control system is delineated by its exceptional user experience, hallmarked by heightened transparency, bolstered security, and unparalleled convenience. [ABSTRACT FROM AUTHOR]

This paper proposes a new measurement method for mobile antennas, balancing accuracy and efficiency by applying magnetic infinitesimal dipole source reconstruction. It introduces a model of the antenna as magnetic infinitesimal dipoles and derives an equation for the spherical near and far electric field. Existing methods require 595 to 7381 measurement points, but the proposed method satisfies fairly good accuracy with 64 points limited to a closed antenna. Validated through simulations and measurements, the method is limited to mobile antennas, particularly effective for closed structures, as demonstrated with over 99% pattern correlation in simulations for inverted-F and patch array antennas. For open structures such as horn antennas, the proposed method cannot be used as it has a pattern correlation of 80%.

In this paper, a compact endfire antenna array with low-profile, small clearance, and wideband operation is proposed for millimeter-wave (mmWave) fifth-generation (5G) mobile terminals. The wideband operation is achieved by exciting two identical bow-tie dipoles inserted on both sides of a multilayer substrate fed by an asymmetric open-end stripline to slotline transition. The antenna performance is significantly improved by introducing a set of vertical metallic vias. The proposed antenna element can achieve 29 % from 24.2 GHz to 32.4 GHz with a peak realized gain that varies from 3.5 dBi to 4.5 dBi. A linear 4-element antenna array is arranged and fabricated to verify the proposed antenna beamforming capabilities. The simulated and measured bandwidth achieves a wide range of 34.4 % (24-34 GHz) to support 26, 28, and 30 GHz 5G mmWave bands with an isolation level better than 20 dB and a peak realized gain over the interested bands ranging from 7.56 to 8.14 dBi. The simulated array scanning angle is ± 68° at 28 GHz within 3-dB gain deterioration. Furthermore, the simulated spherical coverage has met the requirements of 3GPP standards which make the proposed antenna array a promising candidate to be integrated within mmWave 5G mobile devices.

With the development of the Internet, the types and quantities of malware have grown rapidly, and how to identify unknown malware is becoming a new challenge. The traditional malware detection method based on fixed features is becoming more and more difficult. In order to improve detection accuracy and efficiency for mobile terminals, this paper proposed a malware detection method for mobile terminals based on application programming interface (API) call sequence, which was characterized by the API call sequence and used a series of feature preprocessing techniques to remove redundant processing of the API call sequence. Finally, the recurrent neural network method (RNN) was used to build the model and perform detection and verification. Furthermore, this paper constructed a malware detection model based on a two-way recurrent neural network and used the two-way long short-term memory network model (LSTM) to train the data set containing 5986 malware samples and 5065 benign software samples to obtain the final detection model and its parameters. Finally, the feature vector of the APK file to be detected was passed into the model and obtained the detection results. The experimental results indicated that the detection accuracy of this method can reach 93.68%. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Chongqing University of Posts & Telecommunications (Natural Science Edition) is the property of Chongqing University of Posts & Telecommunications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A miniaturized and wideband four-port multiple-input multiple-output (MIMO) antenna pair for Wi-Fi mobile terminals application is proposed. The proposed antenna pair consists of four multi-branch antenna elements arranged orthogonally, with an overall size of 40 × 40 × 3.5 mm3 and each antenna element size of 15.2 × 3.5 mm × 0.8 mm3. The performance of the proposed antenna shows the advantages of a wide frequency band, low mutual coupling, high efficiency, and a compact structure. The wideband characteristics of the antenna elements are achieved through multi-mode resonance. The suppression of coupling is accomplished by strategically positioning the four compact antenna elements to ensure their maximum radiation directions are orthogonal, thus eliminating the need for an additional decoupling structure. In this paper, the proposed antenna is optimized in terms of the parameters then simulated and measured. The simulated results illustrate that an impedance bandwidth of the antenna is about 15% (5.06~5.88 GHz) with S11 < −10 dB, excellent port isolation exceeds 20 dB between all ports, a high radiation efficiency ranges from 51.2% to 89.9%, the maximum gain is 4.5 dBi, and the ECCs are less than 0.04. The measured results show that the −10 dB impedance bandwidth of the antenna is about 13% (5.13~5.80 GHz), the isolation between the antenna elements is better than 21 dB, the radiation efficiency ranges from 51.8% to 92.3%, the maximum gain is 5.3 dBi, and the ECCs are less than 0.05. The proposed four-port MIMO antenna works on the 5G LTE band 46 and Wi-Fi 6E operating bands. As a mobile terminal antenna, the proposed design scheme demonstrates excellent performance and applicability, fulfilling the requirements for 5G mobile terminal applications.

In this article, a wideband self-isolated multiple-input multiple-output (MIMO) antenna element based on multiple adjacent modes coupling current cancellation is proposed for 5G mobile terminal. The wideband self-isolated technology based on multiple adjacent mode coupling current cancellation are demonstrated. With the combination of five adjacent loop modes, the −6 dB bandwidth of the proposed self-isolated element can cover 3.3–3.8 GHz and 4.4–5.0 GHz. Finally, an 8 × 8 MIMO array is constructed by arranging eight proposed wideband self-isolated antenna elements on the two long sides of the mobile terminal. Simulated and measured results show that the isolation of 8 × 8 MIMO array exceeds 15 dB without any decoupling structures in the operating frequency band. The proposed antenna elements are simply arranged to obtain a wideband high isolation MIMO array, and it is a good choice for 5G mobile terminal. [ABSTRACT FROM AUTHOR]

Aiming at the hand detection method based on deep learning, the network model has complex structure, slow detection speed and serious memory consumption, which is difficult to meet the needs of real-time human-computer inter-action at the mobile terminal, a lightweight network model is proposed to realize the real-time detection of hand. The model is based on SSD. Firstly, the lightweight network MobileNetV2 is used as the backbone feature extraction network of the model to reduce the amount of parameters and computational complexity of the model. Then, aiming at the problem of insufficient feature extraction, a multi-scale convolution and feature fusion module is proposed and applied to three prediction feature layers to increase the adaptability of the network to different scale features by connecting convolution kernels of different sizes. Finally, the candidate box acquisition method is improved. The K-means++ clustering algorithm is used to adaptively generate the candidate box suitable for the hand, and the hand is accurately located to improve the detection accuracy of the model. In order to verify the effectiveness of the proposed method, relevant experiments are carried out on two public data sets, Ego Hands and Oxford Hand. The experimental results show that the accuracy of this method on the two data sets is 96.56% and 73.56% respectively, the detection speed is 45.4 FPS and 41.2 FPS, and the memory occupied by the model is only 19.5 MB. Finally, the algorithm is deployed on the mobile terminal for testing, and the results show that this method can provide a lightweight method for hand detection. [ABSTRACT FROM AUTHOR]

In order to complete the design of English teaching analysis system on mobile terminal and improve the quality of English teaching, this paper will carry out relevant research. This paper first introduces the design significance of the English teaching analysis system, and then puts forward the system design scheme and implementation method. Through this study, the design of English teaching analysis system on mobile terminal can effectively improve the quality of teaching, indicating that the system has certain application value. [ABSTRACT FROM AUTHOR]

Copyright of Informatica (03505596) is the property of Slovene Society Informatika and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Internet deconstructs and reshapes the traditional classroom organization, the status of teachers, the authority of teaching materials and the role of students. Online Ideological and political education with the help of the Internet has become an inevitable trend of Ideological and political education. Mobile edge computing solves the high delay barrier when traditional cloud computing center provides services. It is a new technology with wide application prospects, which provides convenience for online education. At the network edge, the mobile edge computing service network can be established due to the deployment of small base stations. Mobile users can upload and migrate some computing intensive or delay sensitive tasks to the currently connected small base station, and then the mobile edge computing network uses the hardware resources on the small base station to assist users in processing such tasks. Face verification technology can be widely used in access control, attendance, government convenience services and other occasions that need identity verification. Hence, this paper proposes the immersive online biometric authentication algorithm for online guiding based on face recognition and cloud-based mobile edge computing. We use the combined technologies to construct the efficient model. The proposed framework is validated compared with the other state-of-the-art methods. [ABSTRACT FROM AUTHOR]

Recently, due to the fast development in multimedia applications of wireless communication systems and demands of increasing the capacity and data rates to meet the requirements of 5G mobile communication systems, new transmission techniques are needed. One of the powerful enabling tools of the 5G communication systems is the multi-input multi-output (MIMO) antenna system employing multiple antennas and utilizing the multipath fading mobile environment to increase the channel capacity without any additional bandwidth and/or transmitted power. However, because of the limited space of mobile devices, the distances between antennas are decreasing. The mutual coupling between antennas severely affects the overall performance of the MIMO system. So, isolation improvement methods are applied to reduce these influences. In this review, different isolation techniques and their features and drawbacks are presented, and the techniques for applying them in modern MIMO antenna systems are illustrated. Besides, the performance characteristics of these MIMO systems are compared. The review also contains basic concepts of the MIMO antenna system and its performance metrics. Finally, the future directions and trends for the MIMO antenna system design are discussed briefly. [ABSTRACT FROM AUTHOR]

Copyright of Railway Standard Design is the property of Railway Standard Design Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To solve the demand for road damage object detection under the resource-constrained conditions of mobile terminal devices, in this paper, we propose the YOLO-LWNet, an efficient lightweight road damage detection algorithm for mobile terminal devices. First, a novel lightweight module, the LWC, is designed and the attention mechanism and activation function are optimized. Then, a lightweight backbone network and an efficient feature fusion network are further proposed with the LWC as the basic building units. Finally, the backbone and feature fusion network in the YOLOv5 is replaced. In this paper, two versions of the YOLO-LWNet, small and tiny, are introduced. The YOLO-LWNet was compared with the YOLOv6 and the YOLOv5 on the RDD-2020 public dataset in various performance aspects. The experimental results show that the YOLO-LWNet outperforms state-of-the-art real-time detectors in terms of balancing detection accuracy, model scale, and computational complexity in the road damage object detection task. It can better achieve the lightweight and accuracy requirements for object detection for mobile terminal devices. [ABSTRACT FROM AUTHOR]