Task Offloading and Resource Allocation in IoT Based Mobile Edge Computing Using Deep Learning

Recently,computation offloading has become an effective method for overcoming the constraint of a mobile device(MD)using computationintensivemobile and offloading delay-sensitive application tasks to the remote cloud-based data center.Smart city benefitted from offloading to edge point.Consider a mobile edge computing(MEC)network in multiple regions.They comprise N MDs and many access points,in which everyMDhasM independent real-time tasks.This study designs a new Task Offloading and Resource Allocation in IoT-based MEC using Deep Learning with Seagull Optimization(TORA-DLSGO)algorithm.The proposed TORA-DLSGO technique addresses the resource management issue in the MEC server,which enables an optimum offloading decision to minimize the system cost.In addition,an objective function is derived based on minimizing energy consumption subject to the latency requirements and restricted resources.The TORA-DLSGO technique uses the deep belief network(DBN)model for optimum offloading decision-making.Finally,the SGO algorithm is used for the parameter tuning of the DBN model.The simulation results exemplify that the TORA-DLSGO technique outperformed the existing model in reducing client overhead in the MEC systems with a maximum reward of 0.8967.

Business Model Innovation of Small and Medium-sized Enterprises on the Basis of Value Creation Logic of Balanced Score Card

Small and medium-sized enterprises have developed rapidly under the guidance and support of the national industrial policy.Because of the influence of the post financial crisis,the rate of the global economy development decreased and the market competition increased,the profit of small and medium-sized enterprises is on the decline or even in a loss.The paper,based on the value creation logic of Balanced Score Card,put forward that we should,with the Differentiation Strategy as the basis,using Strategy Map and Cascade Strategy,integrate the key internal procedures to increase the strategic preparation of intangible assets to guide the business model innovation of small and medium-sized enterprises and promote the rapid development of small and medium-sized enterprises.

The Internet-EDI Systems Adoption by Enterprises in Jordan: Descriptive analysis of Adoption, Strategies and Benefits

This paper reviewed and explored the current extent of the Internet Electronic Data Interchange systems adoption in Jordan particularly in the SME sector. Also the paper presented the benefits of IEDI adoption and showed the main obstacles facing the SME in Jordan to adopt. This paper used the descriptive and theoretical analysis approaches for collecting and analysis the historical and archived data. The literature showed that Jordan, as a developing country, has achieved forward steps in introducing the Internet to the different sectors of life. The adoption of the electronic tools in business became a governmental target in recent years to make it possible for SMEs to be able to continue to achieve success in their business [1]. Most of Jordanian SMEs have little or no competitive pressure to use I-EDI systems, since most suppliers, customers and other competitors do not seem to promote I-EDI systems. The study concluded that SMEs in Jordan could grow and become larger companies, and supporting national economy. Thus it is very important to develop and grow Jordanian SMEs by doing more research.

An Overview of Information and Communication Technology (ICT) in Jordan: Review the Literature of Usage, Benefits and Barriers

This paper presented a background of the extent of the ICT, IT, and EC-B2B in Jordan. It was mentioned that the development of the ICT in Jordan brings benefits to the enterprises and their TPs. In this paper the EC-B2B systems’ readiness in Jordan is defined as the degree of preparation of a nation or community to participate in and benefits from ICT development. The government in Jordan has taken forceful measures towards adoption IT and IS applications and Internet awareness. In 2010, it was reported from the DOS in Jordanthat the percentage of individual Internet usage did not exceed 4.7 percent of the population inJordan[1]. This paper highlighted through subsections on the benefits and risks faced EC-B2B system adoption in Jordan. Based on the recent studies and reports in Jordan, the EC-B2B system adoption was mainly adopted by large enterprises in the supply chain rather than by SMEs. The study concluded that the main two barriers of ICT development and adoption inJordanare organizational readiness including lack of new education methods, and lack of information and knowledge.

A New Proof for the Tight Range of Optimal Order Quantities for the Newsboy Problem with Mean and Standard Deviation

In the classical Newsboy problem, we provide a new proof for the tight range of optimal order quantities for the newsboy problem when only the mean and standard deviation of demand are available. The new proof is only based on the definition of the optimal solution therefore it is the most straightforward method. It is also shown that the classical Scarf’s rule is the mid-point of the range of optimal order quantities. This provides an additional understanding of Scarf’s order rule as a distribution free decision.

A Game-Theoretic Approach to Safe Crowd Evacuation in Emergencies

Obstacle removal in crowd evacuation is critical to safety and the evacuation system efficiency. Recently, manyresearchers proposed game theoreticmodels to avoid and remove obstacles for crowd evacuation. Game theoreticalmodels aim to study and analyze the strategic behaviors of individuals within a crowd and their interactionsduring the evacuation. Game theoretical models have some limitations in the context of crowd evacuation. Thesemodels consider a group of individuals as homogeneous objects with the same goals, involve complex mathematicalformulation, and cannot model real-world scenarios such as panic, environmental information, crowds that movedynamically, etc. The proposed work presents a game theoretic model integrating an agent-based model to removethe obstacles from exits. The proposed model considered the parameters named: (1) obstacle size, length, andwidth, (2) removal time, (3) evacuation time, (4) crowd density, (5) obstacle identification, and (6) route selection.The proposed work conducts various experiments considering different conditions, such as obstacle types, obstacleremoval, and several obstacles. Evaluation results show the proposed model’s effectiveness compared with existingliterature in reducing the overall evacuation time, cell selection, and obstacle removal. The study is potentially usefulfor public safety situations such as emergency evacuations during disasters and calamities.

管理人员金钱心理特征与不道德工作行为关系实证研究

采用《金钱心理问卷》、《不道德工作行为情境问卷》,随机抽取305 名企业管理人员,调查分析他们的金钱心理成分、类型及其特征,以及不同金钱心理类型人在不道德工作行为可能性上的差异性。研究发现,中国管理人员金钱心理可以分为九成分(好,坏,成功,自主,公平,激励,预算,挣钱,捐款)四类型(金钱崇拜者、金钱不满者、金钱排斥者和金钱冷漠者);不同金钱心理类型在不道德工作行为上有显著差异,表现为:金钱排斥者比金钱不满者、金钱崇拜者、金钱冷漠者有更低的从事不道德工作行为的可能性。

灾害管理中供应链问题研究

本文主要研究了自然灾害发生时与供应链相关的问题,诸如居民疏散(交通路线)、信息管理、物资供给与灾害救援问题。旨在通过将供应链管理知识和理念应用于灾害管理中,提出就不可预测的自然灾害做出事先准备和快速反应的战略对策,以提高疏散效率以及对紧急需要的快速反应。

影响RFID技术商业应用的因素分析及启示

随着无线射频识别技术(RFID)的日臻完善和其应用领域的不断扩大,RFID技术在商务领域的应用引起了各国企业和学者的广泛关注。目前欧美发达国家在RFID技术开发及其商业应用方面处于相对领先地位。文章通过对欧美发达国家在商务领域应用RFID技术案例的深入分析,总结不同企业应用RFID技术的成功经验,归纳影响其成败的关键因素,为进一步在我国推广RFID技术的商业应用提供借鉴。

犬儒主义、社会支持对生活满意度的影响:文化调节的中介作用

本研究探讨了在不同文化背景下,社会支持对犬儒主义和生活满意度间关系的中介作用问题。结果显示:(1)社会支持对犬儒主义与生活满意度的关系有部分中介效应;(2)文化对社会支持的中介作用具有显著的调节效应,即相对于香港人,美国人的社会支持对其生活满意度的影响作用更大。

A Multi-Level Analytical Framework of Firm Strategic Change

Firm strategic change has attracted increased attention from strategic management scholars over the past few decades. With an aim to review the existing research and to provide a future research agenda, this study presents a multi-level analytical framework of the drivers of a firm＇s strategic change. Specifically, we focus on the environment-, organizational-, and individual-level factors. Empirical studies at each of the three levels have been thoroughly reviewed. We further discuss the theoretical differences and relationships among the three levels of factors. This study concludes with important theoretical implications for firm strategic change research and also suggests a few future research directions on this topic.

Predicting motion picture box office performance using temporal tweet patterns

Purpose–The purpose of this paper is to investigate temporal tweet patterns and their effectiveness in predicting the financial performance of a movie.Specifically,how tweet patterns are formed prior to and after a movie’s release and their usefulness in predicting a movie’s success is explored.Design/methodology/approach–Volume was measured and sentiment analysis was performed on a sampleof Tweetsposted fourdays beforeand afterthe releaseof 86 movies.Thetemporal patternof tweeting for financially successful movies was compared with those that were financial disappointments.Using temporal tweet patterns,a number of machine learning models were developed and their predictive performance was compared.Findings–Results show that the temporal patterns of tweet volume,length and sentiment differ between“hits”and“busts”in the days surrounding their releases.Compared with“busts”the tweet pattern for“hits”reveal higher volume,shorter length,and more favourable sentiment.Discriminant patterns in social media features occur days in advance of a movie’s release and can be used to develop models for predicting a movie’s success.Originality/value–Analysis of temporal tweet patterns and their usefulness in predicting box office returns is the main contribution of this research.Results of this research could lead to development of analyticaltools allowingmotionpicture studiosto accurately predictand possiblyinfluencethe opening night box-office receipts prior to the release of the movie.Also,the specific temporal tweet patterns presented by this work may be applied to problems in other areas of research.

Image Analytics:A consolidation of visual feature extraction methods

Revolutionary advances in machine and deep learning techniques within the field of computer field have dramatically expanded our opportunities to decipher the merits of digital imagery in the business world.Although extant literature on computer vision has yielded a myriad of approaches for extracting core attributes from images,the esotericism of the advocated techniques hinders scholars from delving into the role of visual rhetoric in driving business performance.Consequently,this tutorial aims to consolidate resources for extracting visual features via conventional machine and/or deep learning techniques.We describe resources and techniques based on three visual feature extraction methods,namely calculation-,recognition-,and simulation-based.Additionally,we offer practical examples to illustrate how image features can be accessed via open-sourced python packages such as OpenCV and TensorFlow.

Effects of age on live streaming viewer engagement:a dual coding perspective

Though the emerging live streaming industry has attracted growing attention,the dominant yanzhi category where streamers mostly interact with the audience through amateur talent shows and casual chats has not been widely investigated.To decode the mechanism behind the popularity of yanzhi streamers,this study draws on Dual Coding Theory(DCT)to posit that age estimated from a streamer’s face and voice can influence the level of viewer engagement.To validate our hypothesized relationships,274 one-minute video records ahead of a viewer commenting or/and gifting were collected and analyzed via deep learning algorithms.Analytical results attest to the negative effects of both facial and vocal age on viewer engagement,while their interaction has a positive impact on viewer engagement.

Dead trees as an indicator in tourism risk monitoring at primate ecotourism

Primate ecotourism has become an important conservation tool.Based around tourists observing primates in their natural habitat,it can provide multiple benefits(Lebrão et al.2021).Appropriate ecotourism can improve local residents’living conditions and economic level,heighten awareness about animal conservation,and increase funding for the latter(Stronza et al.2019).

基于投影动态系统理论的网络交通演化模型

为了分析时间标准以小时或天为单位的网络交通流演化问题,利用投影动态系统理论建立了相关问题的演化投影动态系统。从网络组成基本元素入手,首先分析了出行者途中对出行路段的选择行为和对局部网络节点最短行程时间的重估问题,得到了基于网络局部信息的出行者路线调整策略。对上述策略进行时间上的演化建模,得到了网络交通流演化的投影动态系统。通过分析与该投影动态系统有相同稳态点的变分不等式,揭示了该系统与基于用户均衡的交通流分配模型的一致性。利用建模过程的分析,设计了启发式的投影动态系统离散演化算法。通过设计阶梯式算法收敛指标,可以加速演化得到网络的稳态。算例分析验证了模型算法的有效性。研究表明基于投影动态系统的交通流演化模型不仅能较好地刻画交通流演化特征,而且可应用于交通管理措施的短期交通流影响分析。

Identifying the key purchase factors for organic food among Chinese consumers

The current study primarily aims to identify the critical purchase factors that affect Chinese consumer purchase intention and purchase decision with regard to organic food consumption,in accordance with a modified theory of planned behavior and the alphabet theory.Specifically,this study builds a conceptual research framework by which to delve into the relationships between purchase factors and purchase intention,and elucidate the mediating roles of purchase factors in the relationships between purchase intention and purchase decision.Moreover,by leveraging a modified theory of planned behavior and the alphabet theory,the current study also determines the critical roles of subjective norms and reveals the information and knowledge that impact consumer attitude toward the purchase of organic food.The current study leverages the purposive sampling method and captures 310 records within Beijing,China.The results indicate that purchase attitude correlates positively with subjective norms and knowledge,while purchase intention correlates positively with purchase attitude,perceived behavior control,and food therapy culture.Furthermore,purchase intention can significantly mediate relationships between each of purchase attitude,perceived behavior control,food therapy culture,and purchase decision.Finally,we discuss the theoretical and practical significance of the framework,and propose subsequent research directions regarding organic food purchase behavior.