A software-defined networking approach for handover management with real-time video in WLANs

To achieve high performance and reliability in video streaming over wireless local area networks (WLANs), one must jointly consider both optimized association to access points (APs) and handover management based on dynamic scanning of alternate APs. In this article, we propose a new architecture within the software-defined networking (SDN) framework, which allows stations to be connected to several APs simultaneously and to switch fast between them. We evaluate our system in a real-time testbed and demonstrate that our SDN-based handover mechanism significantly reduces the number and duration of video freeze events and allows for smaller playout buffers.

The Application of Busywork Flow in Supply Chain Management of Fruits

Firstly,I point out the problems in the fruit supply chain management.Then through field survey,we know that busywork flow plays a very important role in the fruit supply chain management.I establish the mathematical model,to derive that the supply chain management of corporate procurement and supply network is the optimal economic model.In terms of the performance of supply chain,I draw the following conclusions:(i) Busywork flow can achieve the supply chain management,and reduces logistics costs in the whole process of circulation;(ii) Busywork flow can improve logistics services for the customers and reduces coordination costs;(iii) The establishment of modern information system can reduce logistics costs;(iv) Busywork flow can improve distribution efficiency and reduce costs;(v) Busywork flow can reduce and avoid the costs of return of goods;(vi) The operation of the busywork flow can achieve integrated transport and business outsourcing to third-party logistics,thereby reducing costs,reducing transport links,reasonably choosing the means of transport,formulating the optimal transportation plan,improving the mode of transport,and increasing the cargo loading amount.(vii) Busywork flow promotes the use of e-commerce.I also express my own views on upgrade version of corporate procurement and supply network.Finally I point out some problems in the existing corporate procurement and supply network,and put forward the following recommendations:developing township-level 4S fruit shop according to the business development,with the functions of purchasing apple,supplying means of agricultural production,providing technical services and developing market;building " corporate ecological orchard" through holding.

Dynamic connectedness and network in the high moments of cryptocurrency,stock,and commodity markets

This study examines the connectedness in high-order moments between cryptocurrency,major stock(U.S.,U.K.,Eurozone,and Japan),and commodity(gold and oil)markets.Using intraday data from 2020 to 2022 and the time and frequency connectedness models of Diebold and Yilmaz(Int J Forecast 28(1):57–66,2012)and Barunik and Křehlik(J Financ Econom 16(2):271–296,2018),we investigate spillovers among the markets in realized volatility,the jump component of realized volatility,realized skewness,and realized kurtosis.These higher-order moments allow us to identify the unique characteristics of financial returns,such as asymmetry and fat tails,thereby capturing various market risks such as downside risk and tail risk.Our results show that the cryptocurrency,stock,and commodity markets are highly connected in terms of volatility and in the jump component of volatility,while their connectedness in skewness and kurtosis is smaller.Moreover,jump and volatility connectedness are more persistent than that of skewness and kurtosis connectedness.Our rolling-window analysis of the connectedness models shows that connectedness varies over time across all moments,and tends to increase during periods of high uncertainty.Finally,we show the potential of gold and oil as hedging and safe-haven investments for other markets given that they are the least connected to other markets across all moments and investment horizons.Our findings provide useful information for designing effective portfolio management and cryptocurrency regulations.

Predictive Model to Evaluate Accommodation of Conflict Management Strategies and Board Performance of Oil and Gas Companies in Port Harcourt

This paper evaluates accommodation of conflict management strategies and board performances in oil and gas sector.The study details the re­flection of effectiveness,efficiency and productivity as the answer to thorough efficiency in accommodation of conflict management in oil and gas sector,these parameters in the system express their efficacy on con­flict management in these multinationals,this implies that for thorough efficiency,these variables must work simultaneously for effective and efficient in structural organization that can be a leading multinational sector in oil and gas environment.The study observed Linearized result from graphical representation explaining predominant lower efficiency and little higher efficiency in accommodation of conflict management in oil and gas companies.These experiences from the study monitor the system from generated simulation values that describe the growth rates in exponential phase of accommodation conflict strategic management.Despite exponential phase the results experienced lower parameters,when comparing on its variations showing its poor efficiency as observed in the study.Few periods observed higher effective accommodation on conflict strategic management.The developed model stimulation values were subjected to validation and both parameters generated favourable fits correlation,the study expressed the deficiency on accommodation of conflict management strategy thus developed models that can monitor the fluctuation and progressive state of accommodation on conflict manage­ment strategy,it defines the reflection of other parameters that express the behaviour of the system in terms of conceptual approach to monitor these type of strategic management in oil and gas companies.

ISO25000-Related Metrics for Evaluating the Quality of Complex Information Systems

Evaluating complex information systems necessitates deep contextual knowledge of technology, user needs, and quality. The quality evaluation challenges increase with the system’s complexity, especially when multiple services supported by varied technological modules, are offered. Existing standards for software quality, such as the ISO25000 series, provide a broad framework for evaluation. Broadness offers initial implementation ease albeit, it often lacks specificity to cater to individual system modules. This paper maps 48 data metrics and 175 software metrics on specific system modules while aligning them with ISO standard quality traits. Using the ISO25000 series as a foundation, especially ISO25010 and 25012, this research seeks to augment the applicability of these standards to multi-faceted systems, exemplified by five distinct software modules prevalent in modern information ecosystems.

The Knowledge of Cyber-Security Vulnerabilities in an Institution of Higher and University Education. A Case of ISP-Bukavu (Institut Supérieur Pédagogique de Bukavu) (TTC = Teachers’ Training College)

This study pursues the objective of analyzing and verifying the knowledge of the agents of the Institut Supérieur Pédagogique/ISP-Bukavu (TTC = Teachers’ training College) in relation to the practical flaws resulting from the lack of knowledge of the observable rules in information system security. In a clearer way, it aims to verify the level of knowledge of the vulnerabilities, to verify the level of use of the antivirus software, to analyze the frequency of use of Windows update, the use of an anti-spyware software as well as a firewall software on the computer. Through a survey conducted on a sample of 100 agents of the Institut Supérieur Pédagogique/ISP-Bukavu (TTC = Teachers’ training College), the results revealed that 48% of the sample has no knowledge on computer vulnerabilities;for the use of antivirus software: 47% do not use the antivirus;for Windows update: 29% never update the Windows operating system;for anti-spyware: 48% never use;for the firewall: 50% are not informed. In fine, our results proposed a protection model VMAUSP (Vulnerability Measurability Measures Antivirus, Update, Spyware and Firewall) to users based on the behavioral approach, learning how the model works.

Robustness of Complex Networks under Attack and Repair

到建筑群的坚韧性在攻击和修理下面联网的学习，我们介绍复杂网络的一个修理模型。基于模型，我们介绍二新数量，即攻击部分 fa 和从来没被攻击过的节点的最大的度一，到学习经分解，批评攻击部分和亲戚在攻击和修理下面复杂网络的巨大的部件缩放，用产生的方法工作。我们显示出经分解并且数字地修理策略显著地提高没有规模的网络的坚韧性和坚韧性改进的效果，这对有一个更小的度代表的没有规模的网络更好。我们与 reparability 在与复杂网络的坚韧性的理解的关系讨论我们的理论的应用程序。

An estimation formula for the average path length of scale-free networks

A universal estimation formula for the average path length of scale free networks is given in this paper. Different from other estimation formulas, most of which use the size of network, N, as the only parameter, two parameters including N and a second parameter α are included in our formula. The parameter α is the power-law exponent, which represents the local connectivity property of a network. Because of this, the formula captures an important property that the local connectivity property at a microscopic level can determine the global connectivity of the whole network. The use of this new parameter distinguishes this approach from the other estimation formulas, and makes it a universal estimation formula, which can be applied to all types of scale-free networks. The conclusion is made that the small world feature is a derivative feature of a scale free network. If a network follows the power-law degree distribution, it must be a small world network. The power-law degree distribution property, while making the network economical, preserves the efficiency through this small world property when the network is scaled up. In other words, a real scale-free network is scaled at a relatively small cost and a relatively high efficiency, and that is the desirable result of self-organization optimization.

Influence of rainfall infiltration on the stability of unsaturated coal gangue accumulated slope

The slope instability is associated with increasing rate of rainfall infiltration which cause shear strength reduction and suction loss and the slope tend to failure. The influences of rainfall infiltration on the stability of clayey and sandy slopes have been analyzed but the effect of rainfall infiltration on the stability of unsaturated coal gangue accumulated slope was needed to study. Therefore, a coal gangue accumulated slope prone to failure in Fuxin area of Northeast China was considered to evaluate its failure mechanism under different rainfall events. The effects after five different rainfall events on slope stability were physically analyzed, numerically investigated and the results from both uncoupled(hydraulic) and coupled(hydromechanical) responses were compared using finite element analysis. It was observed that the decisive soaking and leaching under different rainfall conditions caused maximum deformation at the crest of slope due to maximum value of permeability coefficient of coal gangue. The critical duration of moderate intensity(147 mm/day) of rainfall for the instability of coal gangue accumulated slope is declared as five days. The results from finite element analysis in this paper further clarifies that increase in duration of rainfall infiltration process cause hysteretic change in positive pore-water pressure causing decrease in factor of safety and increase in deformation. It is concluded that the stability of unsaturated coal gangue accumulated slope is greatly influence by the coupled effect of stress and porewater pressure in comparison of uncoupled(hydraulic) analysis as the obtained factor of safety values after five days of rainfall infiltration were 0.9 and 1.1 respectively.

A Preliminary Study on Modeling Stability of Planning Inventory and Incentive Effects

The incentive effects and dynamic aspects of the inventory system were discussed in this paper. The wage policy was regarded as a factor to influence workers’ thinking of their action. A multiple objective problem was constructed for the owners and the workers. At the same time, the planning stability is considered in the presented model. Since the process speed is decided by the dynamic demand of production or the interior system itself, two situations were discussed in this paper.

Where Pakistan Stands Among Top Rice Exporting Countries, an Analysis of Competitiveness

Under the umbrella of WTO, the reduction in trade barriers has forced the policy makers to focus on the export competitiveness. Rice is an important source for foreign exchange earnings for the economy of Pakistan, keeping in mind of this fact, the competitiveness of Pakistan's rice with other major exporters was examined by applying revealed competitive advantage. The domestic consumption trends of rice among the major rice exporting countries were also analyzed in the current study. The results revealed that as compare to other major exporters of rice in the world, Pakistan had high competitive and comparative advantage in the production of rice. The comparison of the movements in comparative advantage indices for Pakistan with the major world rice competitors/exporters showed that Pakistan possessed relatively high comparative and competitive advantages in rice production. The declining domestic per capita consumption of rice and increasing trends in competitiveness for Pakistan clearly revealed the expected potential of higher growth which meant that rice exports from Pakistan could continue to play an important role for the earnings of foreign exchange. In order to exploit the potential benefits of rice exports, we need to strengthen the competitiveness in rice sector of Pakistan.

Exploration of Influential People for Viral Marketing

Exploration of influential people is really a hot issue for effective viral marketing these days. Prior studies overlooked to consider the influence of interaction between users and the authority of users during information dissemination. In this article, we proposed an innovative concept by employing communication strength and authority in order to explore the influential people. First, we calculated communication strength by three kinds of actions including retweets, comments and mentions. Second, we deliberated authority metric by employing total times getting re-tweeted, number of tweets and followers of a user. Then, we propose a novel algorithm called Influential People Label Propagation Algorithm(IPLPA) that considers the proposed metric to explore the influential people in micro-blog networks. We performed extensive experiments to measure the influence and rank of each person within micro-blog network. The comparative study presents that IPLPA depicted effective people while baseline algorithms retrieved low influenced people at top rank. Additionally, influence dissemination also measured for obtained influential people in order to validate proposed concept. The findings of this study would be useful for viral marketing and advertisement campaigns.

Optimal Scheme Selection of Agricultural Production Structure Adjustment——Based on DEA Model; Punjab(Pakistan)

This paper used the modern evaluation method of DEA(Data Envelopment Analysis) to assess the comparative efficiency and then on the basis of this among multiple schemes chose the optimal scheme of agricultural production structure adjustment. Based on the results of DEA model, we dissected scale advantages of each discretionary scheme or plan. We examined scale advantages of each discretionary scheme, tested profoundly a definitive purpose behind not-DEA efficient, which elucidated the system and methodology to enhance these discretionary plans. At the end, another method had been proposed to rank and select the optimal scheme. The research was important to guide the practice if the modification of agricultural production industrial structure was carried on.

Factors Hindering Pakistani Farmers' Choices Towards Adoption of Crop Insurance

This study was conducted to analyze the factors that negatively influence Pakistani farmers' willingness to participate in crop insurance. Probit model was applied to identify the significant factors which influenced our dependent variable "not willing to participate". The results of the analyses showed that crop insurance premium was the most influencing factor which had positive and significant impact on dependent variable. Similarly dissatisfaction with crop loan insurance scheme, lacking of knowledge about crop insurance, believing of being against Islamic rules and time taking process was also found to be positive and significantly influenced the dependent variable. While limited decision power and limited perils were not found to be significant in the results.

Household behavior in practicing mental budgeting based on the theory of planned behavior

Ajzen’s theory of planned behavior(TPB)suggests that planned behavior is determined by behavioral intention.Despite extensive literature based on TPB,household mental budgeting behavior explained by TPB is underexplored.The current study empirically tested TPB factors in light of mental budgeting behavior.The hypothesized model was tested using partial least squares structural equation modeling(PLS-SEM).PLS-SEM was employed using a Likert-scaled questionnaire administered to 275 households.The results indicate that mental budgeting attitude and mental budgeting past behavior strongly predict mental budgeting intention,and mental budgeting intention predicts mental budgeting behavior.Further,mental budgeting intention partially mediates the relationship between mental budgeting attitude and mental budgeting behavior,and mental budgeting past behavior and mental budgeting behavior.This study contributes to the academic interest in theoretical progress in household behavior.

Removal of Ocular Artifacts from Electroencephalo-Graph by Improving Variational Mode Decomposition

Ocular artifacts in Electroencephalography(EEG)recordings lead to inaccurate results in signal analysis and process.Variational Mode Decomposition(VMD)is an adaptive and completely nonrecursive signal processing method.There are two parameters in VMD that have a great influence on the result of signal decomposition.Thus,this paper studies a signal decomposition by improving VMD based on squirrel search algorithm(SSA).It’s improved with abilities of global optimal guidance and opposition based learning.The original seasonal monitoring condition in SSA is modified.The feedback of whether the optimal solution is successfully updated is used to establish new seasonal monitoring conditions.Opposition-based learning is introduced to reposition the position of the population in this stage.It is applied to optimize the important parameters of VMD.GOSSA-VMD model is established to remove ocular artifacts from EEG recording.We have verified the effectiveness of our proposal in a public dataset compared with other methods.The proposed method improves the SNR of the dataset from-2.03 to 2.30.

A Study on the Evolution of Mechanism of Infectious Disease Analysis Model of Event Using Micro-Blog Platform

After the occurrence of unexpected group events of network, the relevant opinion information will spread rapidly through micro-blog, and the negative public opinion information will aggravate the unexpected the group events to upgrade and expand the scope of harm. It is difficult to deal. So public opinion control is very important. In this paper, we establish an influence model for spreading of public opinion based on SIR model. Through the political analysis, this paper finds that the network group events will subside, but the influence scope, time and ability of event cannot be ignored. As a result of this study, the corresponding strategies are put forward in this paper.

Effect of Mental Health Problems on Academic Performance among University Students in Pakistan

Scientific interest in student’s mental health experiences has been increasing in the last years due to their influence on students’learning processes,academic performance,and recently,the suicidal news of a student at a private university due to her mental health condition in Lahore Punjab,Pakistan,captured public attention.That incident also shifted researchers and scholars’attention on the much underexplored and tabooed sphere of the broader public health domain.Hence,the current study aimed to explore the relationship between mental health problems and Pakistani university students’academic performance.Participants were 540 senior semester students within the age range of 20–35 years taken from public and private institutes of Pakistan’s major cities,including Lahore,Islamabad,and Peshawar.Descriptive and inferential statistics was employed for data analysis.Pearson Product Moment Correlation,Hierarchical Regression analysis,and Independent sample t-test were used for data analysis in inferential statistics.The results of the study reveal that there is a strong positive association between mental health and improvement in academic performance.Mental health problems negatively affect the academic performance of university students.The findings of the current study were beneficial for shedding light on the ignorant area within the broader public health domain;the results are also helpful in raising awareness for not only students but also the parents and university administration to plan and design effective intervention strategies to provide proper mental health that resultantly promote academic excellence.

New Characteristics of Active Life Expectancy of the Elderly in China

Life expectancy of the elderly is a significant problem in China, and it changes not only the health care, but also the pension. This study used tracking data from the Chinese Urban and Rural Elderly Population Survey to calculate the age-specific Active Life Expectancy (ALE) of the Chinese elderly population aged 60 years and over. For analysis, this population was divided into different sub-populations according to gender, census register and region. The main conclusions of our study are as follows: 1) The quality of life for elderly males may be greater than that for elderly females;2) There were significant differences in Active Life Expectancy (ALE) and Inactive Life Expectancy (ILE) between urban and rural elderly;3) The differences in ALE between the eastern, central and western regions of China were not significant;and 4) The increased remaining life expectancy of the elderly was mainly attributed to the extended ALE in the lower age group and the expanded ILE in the higher age group. This study expands the knowledge of Chinese elderly’s life expectancy in different health status.

Design and Application of an Intelligent Agent for Web Information Discovery

With the propagation of applications on the internet, the internet has become a great information source which supplies users with valuable information. But it is hard for users to quickly acquire the right information on the web. This paper an intelligent agent for internet applications to retrieve and extract web information under user's guidance. The intelligent agent is made up of a retrieval script to identify web sources, an extraction script based on the document object model to express extraction process, a data translator to export the extracted information into knowledge bases with frame structures, and a data reasoning to reply users' questions. A GUI tool named Script Writer helps to generate the extraction script visually, and knowledge rule databases help to extract wanted information and to generate the answer to questions.