Virtual reality mobility model for wireless ad hoc networks

For wireless ad hoc networks simulation, node＇s mobility pattern and traffic pattern are two key elements. A new simulation model is presented based on the virtual reality collision detection algorithm in obstacle environment, and the model uses the path planning method to avoid obstacles and to compute the node＇s moving path. Obstacles also affect node＇s signal propagation. Considering these factors, this study implements the mobility model for wireless ad hoc networks. Simulation results show that the model has a significant impact on the performance of protocols.

Parameter Selection and Performance Analysis of Mobile Terminal Models Based on Unity3D

Mobile platform is now widely seen as a promising multimedia service with a favorable user group and market prospect. To study the influence of mobile terminal models on the quality of scene roaming, a parameter setting platform of mobile terminal models is established to select the parameter selection and performance index on different mobile platforms in this paper. This test platform is established based on model optimality principle, analyzing the performance curve of mobile terminals in different scene models and then deducing the external parameter of model establishment. Simulation results prove that the established test platform is able to analyze the parameter and performance matching list of a mobile terminal model.

Novel model of a AlGaN/GaN high electron mobility transistor based on an artificial neural network

In this paper we present a novel approach to modeling AlGaN/GaN high electron mobility transistor （HEMT） with an artificial neural network （ANN）. The AlGaN/GaN HEMT device structure and its fabrication process are described. The circuit-based Neuro-space mapping （neuro-SM） technique is studied in detail. The EEHEMT model is implemented according to the measurement results of the designed device, which serves as a coarse model. An ANN is proposed to model AIGaN/CaN HEMT based on the coarse model. Its optimization is performed. The simulation results from the model are compared with the measurement results. It is shown that the simulation results obtained from the ANN model of A1GaN/GaN HEMT are more accurate than those obtained from the EEHEMT model.

The Clinical Study of a New Management Model Using Mobile Health for Senile Hypertension

Objective: To evaluate a new management model using mobile health for senile hypertension. Methods: This medical service combined traditional medical treatment with Mobile Health. We use it to explore a new and effective model of elderly hypertension management and the most effective and lowest cost management crowd. According to the randomized controlled design of trial, 105 old hypertensive patients participated in the study voluntarily in the Qingdao Municipal Hospital were randomly divided into the experimental group (75 cases) and control group (30 cases). Experimental group is divided into geriatric specialist group (25 cases), general practitioner group (25 cases) and nurse group (25 cases). Blood pressure was administered in experimental (with the new model) and control groups (with the traditional model) for 2 months to compare their blood pressure and the decrease of them. Results: Blood pressure was compared between the two groups before and after administration. The systolic blood pressure (SBP) of experimental group is 162.44 ± 13.970 mmHg before administration. SBP of experimental group is 147.69 ± 13.509 mmHg after administration, the difference is statistically significant (P = 0.000). The diastolic blood pressure (DBP) of experimental group is 91.58 ± 10.822 mmHg before administration. DBP of experimental group is 84.64 ± 10.412 mmHg after administration, P = 0.003. SBP of control group is 159.93 ± 15.238 mmHg before administration. The systolic blood pressure of control group is 152.33 ± 14.115 (mmHg) after administration. P is 0.167 (P > 0.05). The difference was not statistically significant. DBP of control group is 94.73 ± 12.401 (mmHg) before administration. DBP of control group is 90.60 ± 11.115 (mmHg) after administration. P is 0.345 (P > 0.05). The difference was not statistically significant. The decrease of SBP of geriatric specialist group, general practitioner group and nurse group is 18.40 ± 11.764 mmHg, 14.47 ± 9.44 mmHg, 10.80 ± 6.026 mmHg. The difference was not statistically significant (P > 0.05). The decrease of DBP of geriatric specialist group, general practitioner group and nurse group is 9.33 ± 7.451 mmHg vs. 5.33 ± 6.287 mmHg vs. 6.13 ± 5.069 mmHg (P > 0.05). Conclusion: The new model is effective and it works well for controlling blood pressure of elderly hypertensive patients. Especially with the doctors and patients’ families, the management effect has been obviously improved. Medical interventions make the new model more scientific. The management of geriatric specialists, general practitioners and nurses is equally valid.

Mobile businessprocess modelingusinghigh level Petri nets

This paper aims at providing an effective modeling methods for more and more mobile business applications. First a high level Petri nets method-Xml nets is introduced, which combines the advantage of Petri nets and XML. Petri nets have strict mathematics and intuitionistic diagram ex- pression way, rich system describing means and system behavior analytical technology, and the re- lated powerful supporting tools. XML, as an extensible markup language, is already a information description de facto standard. XML nets could be utilized to model both the controlling flow and the data flow of mobile business process effectively, which consequently enables the analysis and optimi- zation of the mobile business processes and could be utilized to simulate the execution of the mobile business process with the Petri nets tools to improve the system execution efficiency. In this paper, to demonstrate the modeling of the controlling flow and data flow of mobile business process, an in- strument repair business case is modeled with XML nets.

STUDY AND COMPUTER SIMULATION OF AN ADAPTIVE STATISTIC MODEL FOR MOBILE COMMUNICATION CHANNEL

An adaptive statistic model for mobile communication channel is studied and simulated in this paper. According to the model parameters, an error sequence describing the long burst error characteristics of the mobile communication channel is generated on a computer. A test method using threshold technique is presented to verify the accuracy of the adaptive channel model.

Evaluation of mobility impact on urban work zones using statistical models

This work correlated the detailed work zone location and time data from the Wis LCS system with the five-min inductive loop detector data. One-sample percentile value test and two-sample Kolmogorov-Smirnov(K-S) test were applied to compare the speed and flow characteristics between work zone and non-work zone conditions. Furthermore, we analyzed the mobility characteristics of freeway work zones within the urban area of Milwaukee, WI, USA. More than 50% of investigated work zones have experienced speed reduction and 15%-30% is necessary reduced volumes. Speed reduction was more significant within and at the downstream of work zones than at the upstream.

Empirical Modeling and Simulation of Temporal Based Adaptive Mobility Model for MANET

Mobile Ad Hoc network (MANET) is a collection of wireless mobile nodes forming a temporary network without the aid of any established infrastructure. To conduct meaningful performance analysis of MANETs, it is essential that the simulation of mobility model should reflect the realistic mobility pattern of mobile nodes i.e. placement of mobile nodes at different intervals of time. The formation of spontaneous network depends heavily on the movement of different nodes in a particular practical scenario. This research focuses on the modeling and simulation of a temporal Adaptive Mobility Model which can be adapted to any dynamic practical scenario. The mobility in the realistic environment is simulated based on a Probability Transition Matrix named as Personal Behavior Model (PBM) and validated for a practical Health Care Environment. The formation of MANET is assumed to be based on the movement of the patient i.e. mobile nodes in the health care environment. Patients waiting in front of each service point for different time intervals are taken as results and compared with the actual data.

To Explore the Innovation of Mobile E-commerce Model in Service Industry From the Perspective of Supply Chain

This paper analyzed the service supply chain of the domestic industry, tourist industry, information service industry in the mobile e-business environment, according to the function of different participators in supply chain and their relationship between each other, this paper obtained different patterns of different industry in the mobile e-commerce environment.

A New Aim-Points-Choosing Model for Attacking Mobile Missile Systems

A new aim-points-choosing model for attacking mobile missile systems in sector region is presented and realized in this paper. The model has the generality for attacking mobile target andis also useful for making an operational decision.

Phase diagram of a family of one-dimensional nearest-neighbor tight-binding models with an exact mobility edge

Recently, an interesting family of quasiperiodic models with exact mobility edges（MEs） has been proposed（Phys.Rev. Lett. 114 146601（2015））. It is self-dual under a generalized duality transformation. However, such transformation is not obvious to map extended（localized） states in the real space to localized（extended） ones in the Fourier space. Therefore,it needs more convictive evidences to confirm the existence of MEs. We use the second moment of wave functions, Shannon information entropies, and Lypanunov exponents to characterize the localization properties of the eigenstates, respectively.Furthermore, we obtain the phase diagram of the model. Our numerical results support the existing analytical findings.

Performance Evaluation of Routing Protocols on the Reference Region Group Mobility Model for MANET

Group mobility is prevalent in many mobile ad hoc network (MANET) applications, such as disaster recovery, military operations, searching and rescue activities. Group partition, as an inherent phenomenon in group mobility, may occur when mobile nodes move in diverse mobility patterns and it causes the network to be partitioned into disconnected components. It may result in severe link disconnections, which interrupts network communications. To address this concern, we proposed a novel group mobility model in this paper, namely the Reference Region Group Mobility model, which can be used to mimic group operations in MANETs, i.e. group partitions and mergers. Based on this model, a comprehensive study on the impact of group partitions to the performance of network routing protocols are carried out by evaluating two well-known routing protocols, namely the Ad Hoc On-demand Distance Vector Routing protocol (AODV) and the Dynamic Source Routing protocol (DSR). The simulation results reflect that group partitions have a significant impact to the performance of network routing protocols.

ILSM:Incorporated Lightweight Security Model for Improving QOS in WSN

In the network field,Wireless Sensor Networks(WSN)contain prolonged attention due to afresh augmentations.Industries like health care,traffic,defense,and many more systems espoused the WSN.These networks contain tiny sensor nodes containing embedded processors,TinyOS,memory,and power source.Sensor nodes are responsible for forwarding the data packets.To manage all these components,there is a need to select appropriate parameters which control the quality of service of WSN.Multiple sensor nodes are involved in transmitting vital information,and there is a need for secure and efficient routing to reach the quality of service.But due to the high cost of the network,WSN components have limited resources to manage the network.There is a need to design a lightweight solution that ensures the quality of service in WSN.In this given manner,this study provides the quality of services in a wireless sensor network with a security mechanism.An incorporated hybrid lightweight security model is designed in which random waypoint mobility(RWM)model and grey wolf optimization(GWO)is used to enhance service quality and maintain security with efficient routing.MATLAB version 16 andNetwork Stimulator 2.35(NS2.35)are used in this research to evaluate the results.The overall cost factor is reduced at 60%without the optimization technique and 90.90%reduced by using the optimization technique,which is assessed by calculating the signal-to-noise ratio,overall energy nodes,and communication overhead.

Evaluation of the Effect of Chemotherapeutic Drug Training on Mobile Terminal for Neuro-Oncology Nurses Based on Kirkpatrick’s Model

Background: Since there has been training, there has been discussion about the effect of training. But training evaluation is not systematic until Kirkpatrick came up with the training evaluation model in 1959. At present, the prevailing model in the systematic summary of training evaluation is still The Kirkpatrick’s model. This model was further improved in 1994, more responsive to contemporary needs, and thus widely used all over the world. At the beginning, it was widely used in human resource management of enterprises. In recent years, this model has been gradually used in the medical field to evaluate the effect of medical training. The Kirkpatrick’s model has a systematic, integrated and persuasive evaluation system for trainees. It has good effects in the pre-service nurse training, the professional image and code of conduct nurses training, and the geriatric nurse training. At present, there are few studies on the chemotherapeutic drug training of neurologist nurses in China. In clinical work, nurses’ cognitive and practical behaviors of chemotherapeutic drug protection and drug extravasation prevention and treatment are insufficient. It directly harms the health of nursing staff and increases the complications of chemotherapy, increases pain of tumor patients, delays or interrupts chemotherapy, and aggravates the economic burden of patients. Especially, Chemotherapeutic drugs for neuro-oncology have particularity and necessity of urgent training. Objective: To investigate the effect of chemotherapeutic drug training through mobile terminal for neuro-oncology nurses based on the Kirkpatrick’s model. Methods: The training content and evaluation questionnaire for chemotherapeutic drugs were designed by nursing management personnel and senior nurses in our department according to the guidelines and common diseases requiring chemotherapy in the department. The content includes the basic knowledge of neuro-oncology chemotherapy, pharmacological knowledge, toxic and side effect of chemotherapy, etc., which are regularly pushed through the mobile terminal-WeChat. Forty nurses participated in the training and the effect is evaluated by Kirkpatrick’s model. Result: After the training, 100% of nurses were satisfied with the training content and 97.5% with the training form. The scores of nurses in learning level such as basic pharmacological knowledge, drug configuration and exposure, drug treatment and infusion, observation of toxic and side effects, and treatment of drug extravasation were significantly higher than those before the training (P < 0.01). The scores of nurses in the behavior level such as drug allocation, health education, toxic and side effect observation and prediction, treatment of exosmosis, occupational protection were significantly higher than those before the training. After the training, the satisfaction of managers, chemotherapy physicians and chemotherapy patients on the behavior of nurses was significantly higher than that before the training (P < 0.01). Conclusion: The chemotherapeutic drug training through mobile terminal based on Kirkpatrick’s model can improve the ability of neuro-oncology nurses, so as to improve the satisfaction of physicians and patients.

The Research on QoS Model Design in Mobile Ad Hoc Networks

Wireless Ad Hoc Networks is a special kind of wireless communication network. With the great development of multimedia applications, how to provide QoS guarantee in the MAC layer is the hot topic in wireless ad hoc network (MANET). This paper designed a QoS model in MANET. The feasibility and reliability of this model is analyzed and verified. Compared with the traditional model, the proposed approach is improved in MAC layer in order to achieve high control rate of low-priority transactions.

A Review on Distribution Model for Mobile Agent-Based Information Leakage Prevention

With the continuous use of cloud and distributed computing, the threats associated with data and information technology (IT) in such an environment have also increased. Thus, data security and data leakage prevention have become important in a distributed environment. In this aspect, mobile agent-based systems are one of the latest mechanisms to identify and prevent the intrusion and leakage of the data across the network. Thus, to tackle one or more of the several challenges on Mobile Agent-Based Information Leakage Prevention, this paper aim at providing a comprehensive, detailed, and systematic study of the Distribution Model for Mobile Agent-Based Information Leakage Prevention. This paper involves the review of papers selected from the journals which are published in 2009 and 2019. The critical review is presented for the distributed mobile agent-based intrusion detection systems in terms of their design analysis, techniques, and shortcomings. Initially, eighty-five papers were identified, but a paper selection process reduced the number of papers to thirteen important reviews.

Analysis of reactive routing protocols for mobile ad hoc networks in Markov models

Mobile ad hoc networks （MANETs） have become a hot issue in the area of wireless networks for their non-infrastructure and mobile features. In this paper, a MANET is modeled so that the length of each link in the network is considered as a birthdeath process and the space is reused for n times in the flooding process, which is named as an n-spatiai reuse birth-death model （n-SRBDM）. We analyze the performance of the network under the dynamic source routing protocol （DSR） which is a famous reactive routing protocol. Some performance parameters of the route discovery are studied such as the probability distribution and the expectation of the flooding distance, the probability that a route is discovered by a query packet with a hop limit, the probability that a request packet finds a τ-time-valid route or a symmetric-valid route, and the average time needed to discover a valid route. For the route maintenance, some parameters are introduced and studied such as the average frequency of route recovery and the average time of a route to be valid. We compare the two models with spatial reuse and without spatial reuse by evaluating these parameters. It is shown that the spatial reuse model is much more effective in routing.

Using Box-Jenkins Models to Forecast Mobile Cellular Subscription

In this paper, the Box-Jenkins modelling procedure is used to determine an ARIMA model and go further to forecasting. The mobile cellular subscription data for the study were taken from the administrative data submitted to the Zambia Information and Communications Technology Authority (ZICTA) as quarterly returns by all three mobile network operators Airtel Zambia, MTN Zambia and Zamtel. The time series of annual figures for mobile cellular subscription for all mobile network operators is from 2000 to 2014 and has a total of 15 observations. Results show that the ARIMA (1, 2, 1) is an adequate model which best fits the mobile cellular subscription time series and is therefore suitable for forecasting subscription. The model predicts a gradual rise in mobile cellular subscription in the next 5 years, culminating to about 9.0% cumulative increase in 2019.

Wideband Modeling of Land-Mobile-Satellite Channel in Built-Up Environment

This paper presents a propagation model for land-mobile-satellite (LMS) wideband radio channel in built-up environment. The model characterizes the behavior of the radio channel, under shadowing and multipath effects due to buildings, with variation of the elevation angle of the satellite. The wideband parameters (coherent bandwidth and time delay spreading) for LMS channel, in residential and urban environments, are computed. These parameters can be considered as a measure of the amount of ISI (inter-symbol interference) of the radio channel, which distorts the received signal and accordingly increases the bit error rate. The calculated values for these parameters using our model, show very good agreement with the corresponding measured ones, which accordingly shows the validity of the developed model for radio channel design in satellite mobile communication systems.

The Application of Genetic Algorithms and Multidimensional Distinguishing Model in Forecasting and Evaluating Credits for Mobile Clients

To solve the arrearage problem that puzzled most of the mobile corporations, we propose an approach to forecast and evaluate the credits for mobile clients, devising a method that is of the coalescence of genetic algorithm and multidimensional distinguishing model. In the end of this paper, a result of a testing application in Zhuhai Branch, GMCC was provided. The precision of the forecasting and evaluation of the client’s credit is near 90%. This study is very significant to the mobile communication corporation at all levels. The popularization of the techniques and the result would produce great benefits of both society and economy.