Comprehensive Implementation of the Border Area Mountain Steppe Electronic Information and Developed Cities Electronic Information and Information equalization scheme G-10 million G or more

Under the condition that the laser can not be used bare fiber and the existing satellite is limited by electric energy and weight,the innovative wired magnetic fiber[1]cable,rich IP channel magnetic fiber receiver[2]and transponderless reflector satellite[3]technology combine with the existing technology to make the magnetic fiber superior to the optical fiber and can be used bare;the magnetic fiber technology is an innovative product under the existing technical conditions of the downlink frequency segment,which can only be used as a linear transmission satellite at present,so that the frequency segment can be bent transmission and realize the new cable of the reflector satellite and the magnetic fiber port“antenna”;Magnetic fiber,magnetic fiber port“antenna”and reflector satellite interoperability,infinite number of channels IP the inverse As wireless transmission,radio satellite(including ground and indoor relay“antenna”)can also be combined with optical fiber interoperability,so that the extremely rich number of channels IP realize wired wireless electronic information network,terminal equipment upgrade to magnetic fiber receiver,solve the problem of serious imbalance between electronic information in border area,mountain area,grassland and developed city and broadband narrow mobile equipment,magnetic fiber can also be integrated with power network of low-cost multi-power ecological network body.

Optimizing the Asset and Liability Management of Telecommunication Company using Goal Programming Model

Since the telecommunications companies experience great competition,high churn rate,data traffic issues during the Covid-19 pandemic and the upgrade to 5G connectivity,the finance management of a telecommunications company should be analyzed to study the volatility and returns in the sector.This paper aims to develop a goal programming model to examine the asset and liability management of a telecommunication company,namely Telekom Malaysia Berhad(TM)in Malaysia.The result of this study shows that TM has achieved all the goals in maximizing assets,equities,profits,earnings and optimum management item while minimizing liabilities over the period of study from 2015 to 2019.Potential improvements on these goals have also been identified through this study.This paper has also contributed to the studies in financial management since past studies have not been done on asset and liability management in telecommunications companies which is rapidly growing and expanding even while the world is suffering from economy crisis during this pandemic.

Empirical Wavelet Transform;Stationary and Nonstationary Signals

Signal decomposition into the frequency components is one of the oldest challenges in the digital signal processing.In early nineteenth century,Fourier transform(FT)showed that any applicable signal can be decomposed by unlimited sinusoids.However,the relationship between time and frequency is lost under using FT.According to many researches for appropriate time-frequency representation,in early twentieth century,wavelet transform(WT)was proposed.WT is a well-known method which developed in order to decompose a signal into frequency components.In contrast with original WT which is not adaptive according to the input signal,empirical wavelet transform(EWT)was proposed.In this paper,the performance of discrete WT(DWT)and EWT in terms of signal decomposing into basic components are compared.For this purpose,a stationary signal including five sinusoids and ECG as biomedical and nonstationary signal are used.Due to being non-adaptive,DWT may remove signal components but EWT because of being adaptive is appropriate.EWT can also extract the baseline of ECG signal easier than DWT.

Non-fragile Dynamic Output Feedback H∞Control for a Class of Un­certain Switched Systems with Time-varying Delay

The problem of non-fragile dynamic output feedback H∞control for a class of uncertain switched systems with time-varying delay is discussed.Firstly,the form of non-fragile dynamic output feedback H∞controller is given.Under the condition that the upper bound of time delay and the upper bound of delay derivative are limited simultaneously,Lyapunov functional and its corresponding switching rules are constructed by using single Lyapunov function method and convex combination technique;Secondly,we use the inequality lemma to scale the derived Lyapunov functional in order to eliminate the time-varying delay term in the in­equality,and then introduce the J-function to obtain a nonlinear matrix in­equality that satisfies the H∞performance indexγ,we also employ Schur complement lemma to transform the nonlinear matrix inequality into set of linear matrix inequalities consisting of two linear matrix inequalities,a sufficient condition for the existence of a non-fragile dynamic output feedback H∞controller and satisfying the H∞performance indexγis concluded for a class of uncertain switching systems with variable time delay;Finally,a switched system composed of two subsystems is consid­ered and the effectiveness and practicability of the theorem are illustrated by numerical simulation with LMI toolbox.

Measurement for Phase Difference Rate without Phase Ambiguity

Firstly,the direction finding solution at the midpoint of a single base array is given for the purpose of this paper and the several functions relation between phase and frequency is also described.Then,the expression of phase difference rate is described based on the multichannel phase difference measurement.With stripping time difference item correspond to the baseline length from phase difference rate,a function is extracted which signifies the differential characteristics of wavelength integer and phase difference in a unit of length.Simulation calculation found that the variation of differential function of path difference in a unit of length is very regular.The corresponding corrected value can is determine directly by distinguishing the range of differential item of phase difference obtained by actual measurement.Thus,the function expression can be obtained that is equivalence with the quondam differential function of path difference and that is nothing to do with the difference item of wavelength integer.On this basic,several parameters are analyzed by using the method of phase difference measurement without phase ambiguity.The research results in this paper may provide a powerful technical support for engineering practical design related to the phase measuring.

Development of IoT Based Mobile Robot for Automated Guided Vehicle Application

Mobile robot has been one of the researches focuses in this era due to the demands in automation.Many industry players have been using mobile robot in their industrial plant for the purpose of reducing manual labour as well as ensuring more efficient and systematic process.The mobile robot for industrial usage is typically called as Automated Guided Vehicle(AGV).The advances in the navigation technology allows the AGV to be used for many tasks such as for carrying load to pre-determined locations sent from mobile app,stock management and pallet handling.More recently,the concept of Industry 4.0 has been widely practiced in the industries,where important process data are exchange over the internet for an improved management.This paper will therefore discuss the development of Internet of Things(IoT)bases mobile robot for AGV application.In this project a mobile robot platform is designed and fabricated.The robot is controlled to navigate from one location to another using line following mechanism.Mobile App is designed to communicate with the robot through the Internet of Things(IoT).RFID tags are used to identify the locations predetermined by user.The results show that the prototype is able to follow line and go to any location that was preregistered from the App through the IoT.The mobile robot is also able to avoid collision and any obstacles that exist on its way to perform any task inside the workplace.

On Detecting and Enforcing the Non-Relational Constraints Associated to Dyadic Relations in MatBase

MatBase is a prototype data and knowledge base management expert intelligent system based on the Relational,Entity-Relationship,and(Elementary)Mathematical Data Models.Dyadic relationships are quite common in data modeling.Besides their relational-type constraints,they often exhibit mathematical properties that are not covered by the Relational Data Model.This paper presents and discusses the MatBase algorithm that assists database designers in discovering all non-relational constraints associated to them,as well as its algorithm for enforcing them,thus providing a significantly higher degree of data quality.

A Novel Image Encryption Scheme Based on Reversible Cellular Automata

In this paper,a new scheme for image encryption is presented by reversible cellular automata.The presented scheme is applied in three individual steps.Firstly,the image is blocked and the pixels are substituted by a reversible cellular automaton.Then,image pixels are scrambled by an elementary cellular automata and finally the blocks are attached and pixels are substituted by an individual reversible cellular automaton.Due to reversibility of used cellular automata,decryption scheme can reversely be applied.The experimental results show that encrypted image is suitable visually and this scheme has satisfied quantitative performance.

Dynamics Models of Crank in Motor Housing Process

With regards to the assembly line of cost control of Dechang(HK)company,the motor housing’s cost control of process will be necessarily respected.Because the supply quantity is big in a machine the price of motor housing is small,so that the cost control of automatic production line is significant with modeling.It is found that the control of equipment includes in shaft and crank linkage for benefit which also needs to be controlled in detail.For the sake of benefits can we fundamentally resolve the main problem of high cost process.

Three Median Relations of Target Azimuth in one Dimensional Equidistant Double Array

On the basis of the linear positioning solution of one-dimensional equidistant double-base linear array,by proper approximate treatment of the strict solution,and by using the direction finding solution of single base path difference,the sinusoidal median relation of azimuth angle at three stations of the linear array is obtained.By using the sinusoidal median relation,the arithmetic mean solution of azimuth angle at three stations is obtained.All these results reveal the intrinsic correlation between the azimuth angles of one-dimensional linear array.

Computation Offloading and Scheduling in Edge-Fog Cloud Computing

Resource allocation and task scheduling in the Cloud environment faces many challenges,such as time delay,energy consumption,and security.Also,executing computation tasks of mobile applications on mobile devices(MDs)requires a lot of resources,so they can offload to the Cloud.But Cloud is far from MDs and has challenges as high delay and power consumption.Edge computing with processing near the Internet of Things(IoT)devices have been able to reduce the delay to some extent,but the problem is distancing itself from the Cloud.The fog computing(FC),with the placement of sensors and Cloud,increase the speed and reduce the energy consumption.Thus,FC is suitable for IoT applications.In this article,we review the resource allocation and task scheduling methods in Cloud,Edge and Fog environments,such as traditional,heuristic,and meta-heuristics.We also categorize the researches related to task offloading in Mobile Cloud Computing(MCC),Mobile Edge Computing(MEC),and Mobile Fog Computing(MFC).Our categorization criteria include the issue,proposed strategy,objectives,framework,and test environment.

Increase the Quality of Life through the Development of Automation

This paper discusses needs for the automation of the underdevelopment communities.The novelty of this research is the link between production of microprocessors and increasing of the life quality.This study highlights the importance of efficient and economic architecture of logical circuits for the automation.The aim of this research is to produce a logical circuit,which includes suitable gates.The circuit will be embedded in the automatic devices as a microprocessor to cause programmed functions.This research reports analytically a workshop method to build the circuit.It uses an assembly card and required gates.Then,it suggests certain VHDL codes to drive a motor.The workshop presents the configuration schemes and connection board for every gate.In addition,it shows a schematic wiring diagram of the circuit.Finally,the economic analysis proves the mass production of the circuit will enhance the automation and consequently the quality of life.The outcome of this research is a helpful experience to the engineers,manufacturers and students of the relevant disciplines to resolve the inequality in the use of the modern technologies.

TEC Colling Shortwave Infrared 320×256 Focal Plane Detector

The short-wave HgCdTe thin film material was grown by liquid phase epitaxy on CdTe substrate,Adopt n on p injection bonding and function and flip-flop mixing process,With a low noise readout circuit,sealed with a high airtightness cellular-metal shell,Using a four-stage Thermo Electric Cooler(TEC),320×256 Short Wave Infrared Focal Plane Cooling Detecto r available to operate at near room temperature(210K).Its main photoelectric performance are signal-to-noise ratio greater than 400,nonuniformity equivalent to 4.69%,operability equivalent to 99.76%,frame rate equivalent to 115Hz,component weight less than 150grams.

The Study on Simulation of Resistance in Stall Motor

The stall phenomenon which happens in loaded motor is unqualification in application.Meanwhile it may measure the maximum property of motor in manufacture.So the phenomenon is analyzed to find a simulation of electrical state to predict the maximum currency and torque which is a necessary method to be proceeded up to now before design.We find that the simulation fits well to the reference.The conditions of t=6s,U=12V result in the biggest stall force according to rotation to change time and voltage.Then it is t=8s,U=10V;t=10s,U=8V and t=12s,U=6V in turns.As for torque it is t=6s,U=12V;t=8s,U=10V;t=6s,U=12V and t=12s,U=6V in truns.

The Experimental WSN Network for Underground Monitoring H2 Abundance in the Mine Atmosphere Karnasurt Mine Lovozero Layered Alkaline Intrusion

We have developed specialized equipment based on hydrogen mini-MDM sensors and the WSN telecommunication technology for long-term monitoring of hydrogen content in the environment.Unlike existing methods,the developed equipment makes it possible to carry out measurements directly in the explosion zone with high discreteness in time.This equipment was tested at a large rare-earth deposit of the Lovozero alkaline pluton Karnasurt in the underground mining tunnel.We observed a short time impulse very high concentration of hydrogen in the atmosphere(more than 3 orders of normal atmosphere concentration).This discovery is very important because at the time of the explosion one can create abnormally high concentrations of explosive mixtures of hydrocarbon gases that can leaded to accidents.The high resolving power of the our measurement equipment makes it possible in the first time in practical to determine the shape of the anomaly hydrogen of such a concentration and to calculate the volumes of hydrogen released from the rocks,at first time in the practice.The shape of the anomaly usually consists of 2-3 additional peaks of the shape-“dragon-head”like.We make an first attempt is made to explain this form of anomaly in the article.The aim of the work the estimate hydrogen emission in mining ore deposit of rare earth elements.

Exploratory Study on the Simulated Police Force Allocation of Shopping Mall Emergency Based on AnyLogic Platform

Due to the rapid development of society,public places,especially large shopping malls,are relatively frequent places for emergencies.Such emergencies not only seriously affect public security and property,but also bring great psychological pressure to citizens.Therefore,this study is of great significance for the exploration and study of public place emergencies.The research object of this study is the public shopping mall.Based on the AnyLogic simulation platform and guided by the relevant principles of social force model,this study utilize the pedestrian storehouse in the platform as the core module to build the simulation environment,and attempts to simulate the police force restraining effect on the overall event and the perpetrators after the occur of emergent incident under different police force allocations.In order to ensure the accuracy of the experimental data,the research team conducted field survey to estimate the average flow of people and the general data of the security personnel in shopping malls,also estimated the rest rain and capture time after repeated experiments.The results indicate that increasing additional police force outside the shopping malls and pre-organizing reasonable patrol routes can obviously facilitate police officers to restrain perpetrators.Meanwhile,it is also clear that the AnyLogic platform can effectively simulate pedestrian movement and interaction behaviour in emergencies.

Applying Project Based Learning to Flipped Bloom Taxonomy for Deep Understanding in Control Systems

The peculiar nature of control theory as a course that cut across a lot of major engineering disciplines calls for a look into how its learning can best be done without students feeling like they are wasting their time.This paper takes a look at control theory as subject cut across various engineering field and has a wide background that students must really be comfortable with.Its wide application and background pose a huge challenge to the teaching of control.It goes further to look into traditional method of teaching,Project-Based Learning Blooms Taxonomy.It then proposes applying Flipped Bloom Taxonomy to Project-based learning for a deep understanding of control systems.

IoT and Machine Learning for Identifying Correlation between Factors Causing Climate Change

The global climate is changing due to anthropogenic activities such as industrialization,infrastructure development,deforestation etc.Expected effects of climate change include increase in global temperatures,rising sea levels,changing precipitation,melting of glaciers,less snowfall,expansion of deserts etc.Most ecosystems are affected by manmade climate change and Mount Everest is no exception.This paper delves into the effects of global warming on Mount Everest and how Internet of Things(IOT)can be used to correctly monitor these effects.The IOT system will take three parameters temperature,carbon parts per million in the atmosphere and snowfall.This research paper also proposes a IOT framework to measure the net snowfall.The data gathered by the IOT system will be used to create a model will be created to monitor the effect of temperature and carbon parts per million on snow fall.

Inverter System:A Solution to Improve the Efficiency of New Energy Generation in Factories

The report mainly analyzes whether the inverter system could improve the efficiency of converting new energy into factory electricity based on McLuhan’s laws of media theory.Firstly,the report asserts the significance of using new energy and the importance of utilizing the inverter system to improve the power conversion of new energy in factories.Secondly,it mainly describes McLuhan’s theory from four different aspects.In addition,according to the four aspects of McLuhan’s theory,the rationality and feasibility of the inverter system solution are analyzed.Then,it is concluded that the inverter system can well improve the conversion efficiency of new energy generation in factories.Finally,this paper claims suggestions from two different perspectives to promote the development of the inverter system..

A Foreword from the Editor-in-Chief

Due to the advancement of information technology,Journal of Electronic&Information Systems aims to discover innovative methods,theories and studies in its field by publishing original articles,case studies and comprehensive reviews.Journal of Electronic&Information Systems provides a wide range of readers and authors.A good communication platform,in the expectation,the first issue of the first volume was first published.Journal of Electronic&Information Systems publishes original research papers that it has officially applied for the electronic ISSN(Online)to be 2661-3204.The current Vol.1 No.1 will be issued with electronic publications.In this issue of the public collection section,there are included four articles.