Terminal User Research Articles

Optimizing Cloud-Fog-Edge Job Scheduling Using Catastrophic Genetic Algorithm and Block Chain-Based Trust: A Collaborative Approach

Collaborative edge-cloud features improve job scheduling. Cloud job scheduling is crucial. Pending delay completion. A cloud-edge mixed system replaced centralized cloud computing. Combining resource levels reduces terminal user service call latency. Decentralization, regionalization, and node dispersal autonomy increase ambiguity, unreliability, and instability. This paper will plan cloud-migrating tasks on edge devices or the cloud to achieve a global optimum. The objective of this research is to enhance the efficiency of job scheduling in cloud-fog edge environments through the integration of the Catastrophic Genetic Algorithm (CGA), a genetic algorithm inspired by natural evolution. Additionally, Berger's theory will be employed to develop a trust-enabled interaction framework based on blockchain technology. The CGA fitness function incorporates load balancing and reasonability in the coordination of services and scheduling of tasks, with the goal of maximizing performance. This article presents proposed improvements to the CGA, which involve the incorporation of mutation and crossover operators, roulette selection, and cataclysm. These changes aim to expand the search area and potentially discover schedules that are more optimal. The approach also effectively deals with the problem of premature convergence, guaranteeing ample time for the algorithm to comprehensively explore the solution space prior to reaching a final solution. The experimental findings indicate that the strategy put forward in this study yields a substantial reduction in task completion time, surpassing 97%. Furthermore, it effectively addresses the best local problem, hence showcasing competing options.

Data Sharing Privacy Metrics Model Based on Information Entropy and Group Privacy Preference

With the development of the mobile internet, service providers obtain data and resources through a large number of terminal user devices. They use private data for business empowerment, which improves the user experience while causing users’ privacy disclosure. Current research ignores the impact of disclosing user non-sensitive attributes under a single scenario of data sharing and lacks consideration of users’ privacy preferences. This paper constructs a data-sharing privacy metrics model based on information entropy and group privacy preferences. Use information theory to model the correlation of the privacy metrics problem, the improved entropy weight algorithm to measure the overall privacy of the data, and the analytic hierarchy process to correct user privacy preferences. Experiments show that this privacy metrics model can better quantify data privacy than conventional methods, provide a reliable evaluation mechanism for privacy security in data sharing and publishing scenarios, and help to enhance data privacy protection.

Lifestyle and Symptom Risk Factors for Dry Eye Disease in Asian Gout Population: A Population-Based Case-Control Study.

We aim to investigate the lifestyle and symptom factors related to dry eye disease (DED) presence in patients with persistent gout using the Taiwan Biobank (TWB) database. A retrospective case-control study was conducted, and patients with a history of gout longer than 10 years were enrolled in the persistent-gout group. Each persistent-gout patient was age- and sex-matched to two non-gout individuals who served as the control group, and we included a total of 973 and 1946 patients in the persistent-gout group and non-gout groups. The main outcome of our study is the presence of DED and the distribution of several lifestyle and symptom risk factors of DED in persistent-gout and non-gout individuals. Logistic regression considering the age and sex and interaction test was applied to estimate the correlation of each lifestyle and symptom risk factor to DED in the two groups. A total of 95 and 140 DED events were found in the persistent-gout and non-gout groups, with a significantly higher percentage in the persistent-gout population (aOR: 1.167, 95% CI: 1.073-3.855, p = 0.0415). The visual display terminal (VDT) user (p = 0.0026) and persistent alcohol drinking (p = 0.0384) were associated with DED more often in the persistent-gout population than the non-gout population. Moreover, the percentages of DED in the patients with gout intervals of 10-20 years and more than 20 years were statistically insignificant (aOR: 1.042, 95% CI: 0.886-1.910, p = 0.5279). In conclusion, VDT usage and persistent alcohol drinking are prominent lifestyle and symptom risk factors for DED occurrence in patients who have experienced gout for more than 10 years.

Research on Mobile Terminal Mobility Prediction Method Based on Unscented Kalman Filter

For mobile terminal users in the process of moving, due to the uncertainty of movement, how to effectively predict and reasonably allocate the Edge Servers (ESs) for mobile terminal users has become the key to solving the problem. Therefore, this paper proposes and designs a mobile terminal user mobility prediction method based on an Unscented Kalman Filter (UKF). According to the application scenario of Mobile Edge Computing (MEC), the edge server with computing resources is placed at the edge node of the network. The state equation and observation equation are constructed through the trajectory points of the mobile terminal users, and the trajectory prediction is completed using the UKF. By comparing the No Filter. Method, the Linear Kalman Filter. Method and the UKF method, the research results show that the proposed method can effectively reduce the error and improve the success rate of the task compared with the other two methods so that the prediction trajectory of mobile terminal users is more accurate and more applicable.

Public Transportation User Movement Analysis of Passenger Satisfaction with SEM PLS Method at the Tangerang Selatan City Bus Terminal

The characteristics of the movement of public transportation users in South Tangerang City must be reviewed and analyzed so that the use of public transportation can be used as one of the best alternatives in implementing an integrated city infrastructure service system. The purpose of this study is to identify the characteristics of public transportation users who use the terminal in South Tangerang City, to find out the factors that influence people's satisfaction in choosing a bus terminal, and to analyze the influence of movement, facilities and zones on bus terminal user satisfaction and perceptions of public transportation users. in the city of South Tangerang. The research approach used is quantitative with primary data sources obtained from a questionnaire instrument to 160 users of Public Transportation Bus Terminals in South Tangerang City. The data analysis method used is Structure Equation Modelling (SEM) – Partial Least Square (PLS) with SmartPLS 3.0 program to measure the inner and outer models of this study and to assess the effect of exogenous variables on endogenous variables. The results of the analysis show that the factor that has the most direct influence on user satisfaction is the mode facility variable with a t-statistic value of 5.377 > 1.87 while the zone variable has no positive and insignificant effect on the perception of public transportation users because it has a p-value of 0.187 > 0. .05 and t-statistic 1.32 < 1.87 or in other words that the perception of terminal users in South Tangerang City is not affected by zones or locations, so wherever the terminal is, if there is a demand from transportation users, it can be approved. Keywords: bus terminal, SEM-PLS, customer satisfaction, user perception

Efficient Pairing-Free Attribute-Based Blind Signature Scheme Based on Ordered Binary Decision Diagram

Attribute-based blind signature is used to realize the blind signature of messages by multiple people, and it is suitable for electronic payment services in the cloud. Most existing attribute-based blind signature schemes have complex bilinear pairing operations in the process of signature and verification, which leads to low algorithm efficiency. To solve this problem, in this study, an efficient pairing-free attribute-based blind signature scheme based on ordered binary decision diagram is proposed, and the security analysis of the new scheme is given under the difficulty of the elliptic curve discrete logarithm problem (ECDLP). The proposed scheme is based on elliptic curve cryptography (ECC). In this scheme, scalar multiplication on the elliptic curve, which is relatively lightweight, is used to replace bilinear pairing with a large computational cost in traditional attribute-based blind signature schemes. The computational overhead in the signature and verification processes is reduced, making the solution more suitable for resource-constrained cloud terminal user scenarios. On the other hand, in order to improve the computational efficiency of the attribute-based blind signature scheme, a more expressive and computationally efficient ordered binary decision diagram (OBDD) structure is used to construct the access structure of the signer. The OBDD access structure can simultaneously support the positive and negative values of attributes in the access structure at the same time. Compared with existing attribute-based blind signature schemes, the proposed scheme has better performance and storage, and meets the needs of resource-constrained cloud end users.

Design and simulation of AI remote terminal user identity recognition system based on reinforcement learning

Presently, the design process of the AI remote server can enable the user to evaluate whether an authorized user can gain emotional responses when they establish an emotional product interface in the approach of the interaction with the device. Therefore, it is necessary for user experience and the ability to address the user’s emotional expectations. This paper proposes an artificial intelligence-based user face recognition response system (AI-UFRRS) to monitor users’ emotions in real life continually and provide new insights into their emotional responses and transitions. The user face recognition response system design is analyzed based on device intelligence. Eventually, the response system is improved and strategy based on an intelligent device. The proposed AI-UFRRS utilizes reinforcement learning technologies to maintain emotional processing in substantial information relating to the user’s identity. This paper offers AI remote strategies to reduce identification information and maximize information on emotions formed by reinforcement learning. The results suggest that the system provided can perform a convolute transformation to maintain user recognition accuracy and reduce face identity recognition. Thus, the experimental results of AI-UFRRS show the improved accuracy ratio of 95.6%, the recognition rate of 93.4%, emotion ratio of 95.5%, high response system ratio of 96.3%, and to increase user identification ratio of 91.8% and reduced false acceptance rate of 19.2%, the false rejection rate of 19.5% compared to other methods.

Asymmetrical bidirectional VLC based on beam homogenizer OAM generation technology.

An asymmetric bidirectional visible light communication (B-VLC) system is presented in this Letter. It combines beam homogenizers with a spatial light modulator (SLM) to implement the orbital angular momentum (OAM) generation technology at a terminal user for uplink data transmission. The major advantage of the proposed approach is that multiple OAM modes can be arbitrarily generated simultaneously by a single SLM. The uplink transmission capacity can also be significantly improved by multiplexing more generated OAM channels. For the proof of concept, an asymmetric B-VLC based on the OAM generation technology for uplink transmission at a distance of nearly 2 m has been implemented. The baseband modulation schemes, including on-off keying (OOK) and quadrature phase-shift keying, were also implemented to validate the transmission performance. The experimental results show that the downlink transmission capacity of up to 2.2 Gbit/s can be achieved using an S-polarization beam. In comparison, the uplink transmission capacity can also be significantly enhanced by using P-polarization through multiplexing four OAM channels, each with a maximum transmission rate of up to 800 Mbit/s. The bit error rates (BERs) of both uplink and downlink transmissions were all under the forward error correction limit (BER=3×10-3).

The Improvement of Wireless Sensor Networks Node Location Algorithm in Extreme Environment

WSN is a wireless network composed of quantities of sensor nodes in a self-organizing multi-hop mode. Its used for perceive, collect and handling the information data to the monitoring center or the terminal user, to realize the communication between “people and things” and “things and things”. Among them, position fixing technology is the basic technology of many applications of WSN. The using of sensor nodes for positioning is very valuable in many practical applications. This paper introduces a modified DV-Hop location algorithm without range measurement, which has the characteristics of high positioning accuracy, low cost, low energy consumption, etc., and has important practical significance. The simulation results show that the positioning accuracy will be higher, because the process is easy to improve the calculation, does not need to add additional hardware, so it has a strong applicability.

Wavelength Tunable Asymmetric B-OWC System Based on Self-Injection Locking for TDM-PONs

The challenge of asymmetric bidirectional optical wireless communication is majority resulted from the power shortage of uplink transmission, since it is double the downlink transmission distance. In this research, a wavelength tunable self-injection locking (SIL) system based on free-space configuration for uplink transmission in a modulated retroreflector based asymmetric bidirectional optical wireless communication system is proposed and experimentally evaluated. The proposed works were investigated from access node (AN) to terminal user(TU) respectively. A power gain of 34.51 dB, and uplink data transmission test over 2 Gbits/s, with Q-factors beyond FEC limit, are reported.

A Novel Comprehensive Benefit Evaluation of IEGES Based on the TOPSIS Optimized by MEE Method

The integrated electricity–gas energy system (IEGES) coordinates the power system and natural gas system through P2G equipment, gas turbines and other coupling components. The IEGES can realize wide-range and long-distance transmission of electricity, heat and natural gas, and truly realize large-scale cross-regional energy supply in space. At present, the theoretical system applicable to the comprehensive benefit evaluation of the IEGES has not been established, and the economic, environmental and social benefits of the system are still at a preliminary study stage. Therefore, the comprehensive benefit evaluation model of the IEGES is constructed, and the integrated benefit evaluation indicator system of the IEGES is designed along the investment and planning, energy supply, equipment operation, power distribution and terminal user. Through the combination of subjective and objective indicator weighting methods, the weights of each indicator are clarified and the matter-element extension theory (MEE) is used to improve the technique for order preference by similarity to ideal solution (TOPSIS), and the comprehensive benefit evaluation model of the IEGES is established. Finally, taking Beijing Yanqing IEGES, Tianjin Eco-city No. 2 Energy Station and Hebei IEGES III as an example, the practicability and effectiveness of the evaluation indicator system and model are verified.

Online differential pressure reset method with adaptive adjustment algorithm for variable chilled water flow control in central air-conditioning systems

Central air-conditioning systems predominantly operate under partial load conditions. The optimization of a differential pressure setpoint in the chilled water system of a central air-conditioning system leads to a more energy-efficient operation. Determining the differential pressure adjustment value based on the terminal user’s real-time demand is one of the critical issues to be addressed during the optimal control process. Furthermore, the online application of the differential pressure setpoint optimization method needs to be considered, along with the stability of the system. This paper proposes a variable differential pressure reset method with an adaptive adjustment algorithm based on the Mamdani fuzzy model. The proposed method was compared with differential pressure reset methods with reference to the chilled water differential temperature, outdoor temperature, and linear model based on the adjustment algorithm. The energy-saving potential, temperature control effect, and avoidance of the most unfavorable thermodynamic loop effects of the four methods were investigated experimentally. The results indicated that, while satisfying the terminal user’s energy supply demand and ensuring the avoidance of the most unfavorable thermodynamic loop, the proposed adaptive adjustment algorithm also decreased the differential pressure setpoint value by 25.1%–59.1% and achieved energy savings of 10.6%–45.0%. By monitoring the valve position and supply air temperature of each terminal user, the proposed method exhibited suitable online adaptability and could be flexibly applied to buildings with random load changes.

Research on mobile intelligent mine platform based on risk control

It is a challenge to effectively solve the “bottleneck problem” of the information management and safety evaluation of coal mine. In case of unexpected events, it is hard for miners to rapidly know the status of environment and find solutions. On the basis of the concept of mobile work, we design a mobile intelligent mining platform aiming for an early warning. That platform is a comprehensive application of the Internet of Things, mobile Internet, intelligent control theory and other technologies. It is mainly composed of four parts: underground sensor, underground subsystem, mobile intelligent mine platform and mobile terminal. An early warning combination model is proposed and described to address this issue. The fuzzy AHP is combined with neural network because of fault-tolerant ability, parallel processing ability, processing non-linear problem ability. The paper adopts the neural network model and the fuzzy AHP model to construct a coal mine safety early warning model. With modern wireless 4G network and geographic information technology, mobile terminal allows staff to know not only the specific risk level but also the status of the scene nearby. The intelligent terminal user interface provides real-time queries and handles processes coal mine production, safety and management. It achieves comprehensive monitoring and integration management both on the automation system and security system.

Asymmetrical bidirectional optical wireless communication system based on a transmissive 1D LC-SLM for NG-PON2.

An asymmetric bidirectional optical wireless communication (B-OWC) system using optical fibers as the transmitter and receiver and capable of wavelength switching is proposed for next generation passive optical network stage two (NG-PON2) extension to home area network (HAN), without optical/electrical (O/E) and electrical/optical (E/O) conversions, which is based on a transmissive "floating" pixel size one-dimensional (1D) liquid crystal spatial light modulator (LC-SLM) at the access node (AN) and a modulated retroreflector (MRR) at the terminal user (TU). The utilization of a reflective grating element and a low-cost LC-SLM in the AN offers a high flexibility of beam steering and wavelength selection in the scenario of B-OWC. Instead of a light source used at conventional TU, a MRR was employed at a TU in order to improve the problems of the power consumptions, alignment difficulties, wavelength contentions, and cost of the TUs. Downlink and uplink data transmissions at a link speed over 2.5 Gbits/s, using wavelengths between 1590∼1603nm and 1524∼1544nm, respectively, corresponding to the downlink and uplink wavelengths specified by the NG-PON2 standard, have been experimentally demonstrated successfully, with quality factors (Q-factors) beyond the forward error correction limit (Q-factor=16.9dB, bit error rate=10-12).

Novel monopole antenna on a single AMC cell for low SAR

AbstractThe design, simulations, and optimized results for a novel low specific absorption rate (SAR) monopole antenna on a single artificial magnetic conductor (AMC) cell are described in this paper. Simulated results show a reduction close to 70% in the 1 g ps SAR for the developed monopole antenna with the AMC in comparison to the monopole antenna without AMC. This allows higher radiation efficiency, battery drain reduction as well as mobile terminal user health risks reduction.

Analysis on the Reason of Low Voltage Problem and the Effectiveness of Voltage Regulation in a Distribution Area

For the problem of low voltage, this paper took a 10kV low voltage line as the research object, summarized and classified the causes of low voltage on the line, analyzed the real reason for the problem of low voltage which combined with the actual situation of the line as the class, put forward many management suggestions. Combined with the actual situation of the line, line automatic voltage regulator would be installed. For automatic voltage regulator, its effectiveness was analyzed from the principle in this paper, 10kV line simulation model was established, this paper gave the simulation analysis of the effect of the line overload on the terminal user’s voltage and the different control effects brought by the installation location of the voltage regulator, the research results provide a scientific basis for the management of the low voltage problem.

Neutrosophy for physiological data compression: in particular by neural nets using deep learning

We would like to show the small distance in neutropsophy applications in sciences and humanities, has both finally consider as a terminal user a human. The pace of data production continues to grow, leading to increased needs for efficient storage and transmission. Indeed, the consumption of this information is preferably made on mobile terminals using connections invoiced to the user and having only reduced storage capacities. Deep learning neural networks have recently exceeded the compression rates of algorithmic techniques for text. We believe that they can also significantly challenge classical methods for both audio and visual data (images and videos). To obtain the best physiological compression, i.e. the highest compression ratio because it comes closest to the specificity of human perception, we propose using a neutrosophical representation of the information for the entire compression-decompression cycle. Such a representation consists for each elementary information to add to it a simple neutrosophical number which informs the neural network about its characteristics relative to compression during this treatment. Such a neutrosophical number is in fact a triplet (t,i,f) representing here the belonging of the element to the three constituent components of information in compression; 1° t = the true significant part to be preserved, 2° i = the inderterminated redundant part or noise to be eliminated in compression and 3° f = the false artifacts being produced in the compression process (to be compensated). The complexity of human perception and the subtle niches of its defects that one seeks to exploit requires a detailed and complex mapping that a neural network can produce better than any other algorithmic solution, and networks with deep learning have proven their ability to produce a detailed boundary surface in classifiers.

USE OF VIDEO COMMUNICATION TECHNOLOGIES TO SUPPORT RESEARCH ACTIVITIES OF SCIENTISTS AND SCIENTIFIC AND PEDAGOGICAL WORKERS

The paper reviews and analyzes the domestic and foreign experience of using video communication technologies for carrying out scientific researches. It was determined, that video telephony is usually used for communication, holding session, solving organization problems; video broadcasting is used for distance education; videoconference is used for scientific and practical activities, work at a distance of scientific groups, working groups. The main components of the general model of the implementation of video communication technologies such as a WEB-oriented video conferencing system are singled out, that based on the analysis of foreign and domestic experience regarding the use of video communication technologies to support the research activities of scientific and pedagogical workers. The main components of research activity of scientific and scientific and pedagogical workers, which need support of video communication technologies are determined there, namely: scientific-pedagogical, scientific-organizational, scientific-technical, experimental. It was revealed that foreign researchers focus on video communication technologies, in particular videoconferences, which provide significant support to the research activities of scientific and pedagogical workers. Examples of using cloud computing for organizing and conducting videoconferences are given there. The author's vision of the general model of the implementation of video communication technologies, as a WEB-oriented video conferencing system, and the general model of the implementation of the terminal complex of the user of the video-communications technologies, as WEB-oriented video conferencing system, is presented. The main components of the WEB-oriented video conferencing system are distinguished: terminal user modules and electronic communications system. The concept of videoconference, video telephony, video-broadcasting as the technologies of video communications, which can be used to support the research activities of scientific and scientific-pedagogical workers, is defined in the paper. &nbsp

A Literature Review: Which Regulation is Feasible for Assessing User Satisfaction with Terminal Services?

Three different studies have discussed regulations ofthe assessment of user satisfaction levelswith terminal services. Based on the assumption that the terminal attributes derived from regulations are accurate, this study aims to analyze the content of the regulations, compare them, and analyzeterminal user satisfaction as assessed by previous studies. Content analysis of the literature is conducted. The results reveal that among the user satisfaction survey regulations from the Minister of Administrative and Bureaucratic Reform Regulations of 16/2014 and 25/2004 and the service standard regulations from the Minister of Transportation Regulation of 40/2015, the most feasible regulation for the assessment of user satisfaction is the Minister of Transportation Regulation of 40/2015. This regulation does not regulate satisfaction assessment but can be used as a basis for assessments of user satisfaction with terminal services. All of the stipulated service standards can be classified as accurate terminal service attributes. Therefore, improvements can be made by including a requirement for satisfaction assessments. Through the incorporation of the service quality concept, such improvement could establish this regulation as a basis for reputable studies of satisfaction assessments. Another result reveals that the literature on the assessment of terminal user satisfaction based on the Minister of Transportation Regulation of 40/2015 reports that users are satisfiedwith the terminal attributes of reliability, convenience, affordability and equity, but they are unsatisfied with the attributes ofsafety and security. Thus,terminals should implement maximal regulation of service standards. Assurance of terminal securitycould increase user satisfaction.

A Trajectory Substitution Privacy Protection Scheme in location-based services

Aimed at the disclosure risk of mobile terminal user’s location privacy in location-based services, a location-privacy protection scheme based on similar trajectory substitution is proposed. On the basis of the anonymized identities of users and candidates who request LBS, this scheme adopts trajectory similarity function to select the candidate whose trajectory is the most similar to user’s at certain time intervals, then the selected candidate substitutes user to send LBS request, so as to protect user’s privacy like identity, query and trajectory. Security analyses prove that this scheme is able to guarantee such security features as anonymity, non-forgeability, resistance to continuous query tracing attack and wiretapping attack. And the results of simulation experiment demonstrate that this scheme remarkably improve the optimal candidate’ trajectory similarity and selection efficiency.