Computer vision and human–computer interaction are essential in many technological fields. Researchers in CV are particularly interested in real-time object detection techniques, which have a wide range of applications, including inspection systems. In this study, we design and implement real-time object detection and recognition systems using the single-shoot detector algorithm and deep learning techniques with pre-trained models. The system can detect static and moving objects in real-time and recognize the object’s class. The primary goals of this research were to investigate (...) and develop a real-time object detection system that employs deep learning and neural systems for real-time object detection and recognition. In addition, we evaluated the free available, pre-trained models with the SSD algorithm on various types of datasets to determine which models have high accuracy and speed when detecting an object. Moreover, the system is required to be operational on reasonable equipment. We tried and evaluated several deep learning structures and techniques during the coding procedure and developed and proposed a highly accurate and efficient object detection system. This system utilizes freely available datasets such as MS Common Objects in Context, PASCAL VOC, and Kitti. We evaluated our system’s accuracy using various metrics such as precision and recall. The proposed system achieved a high accuracy of 97% while detecting and recognizing real-time objects. (shrink)

We are teacher educators trying to recalibrate to the world of Trump. As we search to find our new bearings, we recognize that the markers of meaning that we relied on (such as civility and...

Not only in philosophy but in religion as well, concepts such as God, World and Man are discussed quite considerably. Nevertheless, an understanding of these concepts requires careful, detailed and systematic analyses. One of the methods of achieving the same is to use a comparative framework. Within Islam, Wahdatul-Wujud is an important mystical and philosophical perspective that has witnessed a tumultuous journey. It has however played a dominant role in Islamic thought. Within Indian philosophy, Vedānta has played a very influential (...) role. Visistādvaita as a school of thought has also played a great role to interpret core philosophical concepts of Upanishads, Bhagavad Gita and Brahma Sutras. In this research paper, we attempt to provide a comparative analysis of Visistādvaita and Wahdatul-Wujud marking out the aspects of similarity and departures. What stands out as relevant and insightful as an implication of the comparative method is an understanding of these two approaches. Wahdatul-Wujud is redefined as a panentheistic philosophy which believes that God exists inside of everything, but is at the same time, transcendent of everything. In this type ofbelief, God is seen as an eternal spark of all things, the Prime Mover. Quite similarly, Visistādvaita, on the other hand is conceived as a Qualified Non- dualistic philosophy which believes in subsuming every diverse phenomena and experience under an underlying unity. (shrink)

Mining social network data and developing user profile from unstructured and informal data are a challenging task. The proposed research builds user profile using Twitter data which is later helpful to provide the user with personalized recommendations. Publicly available tweets are fetched and classified and sentiments expressed in tweets are extracted and normalized. This research uses domain-specific seed list to classify tweets. Semantic and syntactic analysis on tweets is performed to minimize information loss during the process of tweets classification. After (...) precise classification and sentiment analysis, the system builds user interest-based profile by analyzing user’s post on Twitter to know about user interests. The proposed system was tested on a dataset of almost 1 million tweets and was able to classify up to 96% tweets accurately. (shrink)

The Community of Shared Future for Mankind (CSFM) concept is a comprehensive Chinese proposal for a better future of mankind. In this article, we provide a comprehensive analysis of this concept by focusing on its origin, evolution and philosophical foundation. This article deals with the origin and evolution of the CSFM concept. We show that the concept originated during the presidency of Hu Jintao, who initially used it for the domestic affairs of China. However, the usage of the concept was (...) later extended from domestic to international affairs. Though Hu Jintao conceived the CSFM concept, it is president Xi Jinping who became its greatest advocate. We explore the CSFM concept’s development and evolution into one of the most influential, diverse and dominant concepts of international relations under president Xi. Furthermore, the article explores the philosophical foundation of the CSFM concept. We argue that although CSFM concept is seen as a 21st century Chinese idea, the roots of the concept can be traced back to much earlier time in history. The concept is based on three major philosophical thoughts: Marxism, Confucianism and the philosophy of Mencius. We show that the CSFM concept is greatly influenced by Marx’s ideas such as the transformation of the world, the free association of producers, historical materialism and dialectics. We also point to a number of Confucian principles that are adopted by the CSFM concept. The CSFM concept not only adopts Confucian principles but also extends their scope from the individual level to international relations. Similarly, we also highlight that the CSFM concept is influenced by Mencius’ concepts such as universal brotherhood, responsibility towards the betterment of the world, humane governance, free trade, equal sharing of wealth and the conservation of natural resources. (shrink)

The current study investigates whether tournament incentives motivate chief executive officer to be socially responsible. Furthermore, it explores the role of sub-national institutional contingencies [i.e., state-owned enterprises vs. non-SOEs, foreign-owned entities vs. non-FOEs, cross-listed vs. non-cross-listed, developed region] in CEO tournament incentives and the corporate social responsibility performance relationship. Data were collected from all A-shared companies listed in the stock exchanges of China from 2014 to 2019. The study uses the baseline methodology of ordinary least squares and cluster OLS regression. (...) Moreover, firm-fixed effects regression, two-stage least squares regression, and propensity score matching deal with the endogeneity problem and check the robustness of the results. The results provide reliable evidence that tournament incentives motivate CEOs to be more socially responsible. On the other hand, sub-national institutional contingencies positively affect the association between CEO tournament incentives and CSRP. The findings have important implications for companies and regulators who wish to enhance CSP by providing incentives to top managers. (shrink)

Drawing on social cognitive theory and social information processing theory, this study investigated how organizations' efforts to embody environmental corporate social responsibility (ECSR) shape consumer perception of a green corporate image through employees' environmental passion and pro-environmental behavior (PEB). To test our hypotheses, we collected multisource time-lagged data from 214 employee–customer dyads from hotel and banking sector organizations in Pakistan. The findings show that organizations' green corporate image is a function of their efforts to engage in ECSR activities as demonstrated (...) through employees' environmental passion and PEB. These findings have important implications in the environment and management domains because it can help organizations draft useful strategies to counter environmental degradation and generate a green corporate image in customers' minds through employees' green behavior. (shrink)

Given the dearth of research examining the distinctions across various facets of employee knowledge-hiding (KH) behaviors, there is little known about why and when leadership negatively influences playing dumb and evasive hiding but positively influences rationalized hiding. The present study fills this void by hypothesizing that employee justice orientation (JO) acts as a mediator of the associations of ethical leadership (EL) with different facets of employee KH behaviors. We also propose employee conscientiousness moderates the relationship of EL with JO and (...) the indirect relationships of ethical leadership with distinct variants of employee KH behaviors. The results based on time-lagged data from 387 employees provide support for the hypothesized relationships. Together, our research provides a more nuanced account of the influence of leadership on employee KH behaviors that can facilitate the development of more appropriate interventions to deal with the intricate problems related to employee KH behaviors. (shrink)

The current research examines the possible outcomes of cronyism like organizational deviance, organizational cynicism, and counterproductive work behavior and also investigates the mediating variable violation of psychological contract among cronyism and its possible outcomes. Many studies have investigated the presence of organizational cronyism at the workplace and its impacts on certain variables. However, the outcomes observed in this study, i.e., OD, OCy, and counter-productive work behavior were not empirically investigated previously as per researchers’ knowledge. The second gap this study fills (...) is the mediating effect of VPC between the studied variables. Thirdly, the study was conducted in Azad Jammu and Kashmir, Pakistan, which is almost the first attempt to investigate this phenomenon in Azad Jammu and Kashmir. Data were collected from the employees working under different ministries of Azad Jammu and Kashmir, Pakistan like education, forest, sports, information, local government, finance, and tourism. The data from 350 employees were collected through convenience sampling. The data collection process was conducted at two distinct time lags. Results show that OC significantly and positively relates with OD, OCy, and counter-productive work behavior, whereas VPC mediates the relationship among OC and OD, OC, and counter-productive work behavior. Employees enjoying special favors from the leadership seem to be more dedicated toward the organization than the employees who do not have this favor, and the ultimate result is negative for the organization. (shrink)

Academic dishonesty that involves the use of any prohibited means for gaining unfair advantage academically has become a global problem in educational institutions. Limited studies have been conducted to explore the significance of personality with reference to academic misconduct. The present study was conducted to find out the different personality correlates as well as predictors of Academic Dishonesty. For this purpose 232 students of undergraduate and graduate courses from different faculties of University of Karachi, Pakistan, with ages ranging between 18-35 (...) years participated in the study. Big Five Inventory 1 was used to measure personality and English version of Academic Dishonesty Tendency Scale2 was used to measure academic dishonesty. Also five questions were developed to measure one more dimension of academic dishonesty which has been observed in local universities i.e., the tendency towards influencing teachers. For statistical analysis, correlation and regression analysis were conducted. Some personality types were found to be associated, and predictors of different dimensions of academic dishonesty. (shrink)

Cardiac disease is the leading cause of death worldwide. Cardiovascular diseases can be prevented if an effective diagnostic is made at the initial stages. The ECG test is referred to as the diagnostic assistant tool for screening of cardiac disorder. The research purposes of a cardiac disorder detection system from 12-lead-based ECG Images. The healthcare institutes used various ECG equipment that present results in nonuniform formats of ECG images. The research study proposes a generalized methodology to process all formats of (...) ECG. Single Shoot Detection MobileNet v2-based Deep Neural Network architecture was used to detect cardiovascular disease detection. The study focused on detecting the four major cardiac abnormalities with 98% accuracy results were calculated. The work is relatively rare based on their dataset; a collection of 11,148 standard 12-lead-based ECG images used in this study were manually collected from health care institutes and annotated by the domain experts. The study achieved high accuracy results to differentiate and detect four major cardiac abnormalities. Several cardiologists manually verified the proposed system’s accuracy result and recommended that the proposed system can be used to screen for a cardiac disorder. (shrink)

Internet of Things-based environments pose various challenges due to their anytime/anywhere computing, and the efficient cryptographic based key management is one of the major challenges in Internet of Things. The key management life cycle consists of initialization, key generation, key registration, key backup, key update, key recovery, and key revocation. Our contribution in this paper is to summarize the state-of-the-art key management schemes and techniques in different scenarios, such as mobile ad hoc networks, wireless sensor networks, and the Internet of (...) Things environments. Further different issues related specifically to the Internet of Things environment are discussed and the causes and effects pertaining to the security breach for Internet of Things are identified. Furthermore, in this research work, we develop a novel permutation of threshold and identity-based key management schemes for the Internet of Things environment and have proposed future directions to counteract the attacks on confidentiality, integrity, authentication, and availability of security services in the Internet of Things environment and identified the two key management schemes, that is, identity and threshold schemes for Internet of Things, to resolve Internet of Things key management issues and maximum possible security services effective implementation. We evaluate our scheme with the help of mathematical and statistical techniques. (shrink)

This study sheds light on strategies for retaining skilled pharmacists in Pakistan's pharmaceutical sector, offering valuable insights for both academia and industry stakeholders by investigating the impact of human resource management practices, including training and development, compensation and rewards, job performance, and job satisfaction, on employee retention. It also examines the moderating role of career growth in this context. Theoretical foundations are grounded in international migration theories and social exchange theory, providing a comprehensive framework for the study. A cross-sectional survey (...) design was used to collect data from 254 pharmacists in southern Punjab, Pakistan. Structural equation modeling (SEM) was employed for data analysis. Findings reveal that training and development, compensation and rewards, job performance, and job satisfaction all have significant direct effects on employee retention. Additionally, career growth acts as a crucial moderator, strengthening the relationship between training and development and job performance, as well as compensation and rewards and job satisfaction in relation to employee retention. Theoretical implications emphasize the importance of tailored training programs, fair compensation practices, and career growth opportunities. Practical recommendations include creating a positive work environment, rewarding high-performing employees, and fostering career development. Future research directions encompass longitudinal studies, the influence of organizational culture and technology, regional variations, and additional factors affecting retention. (shrink)

Medrese, müslüman tarihinin geleneksel eğitim kurumları olarak tarihe geçmiş, Hint alt kıtasındaki İngiliz öncesi dönemde de bu işlevini sürdürmüştür. Tarihsel olarak medreseler sadece din alanında değil, aynı zamanda diğer alanlarda da toplumun ihtiyaç duyduğu insan gücünü karşılamıştır. Ancak Medrese müfredatı da dahil mevcut pek çok kurumun boyun eğmesine ve baskısına yol açan Biritanya emperyalizminin gelişi ile, medresenin toplumda oynadığı rolde yavaş yavaş bir düşüş yaşanmıştır. Medresenin (hem kurum hem de mezunları tarafından) karşı karşıya kaldığı bu varoluşsal krizin, Pakistan'ın kuruluşunda dini (...) Ulema ve Müslüman kitlelerin desteği ile sona ermesi beklenirken, Pakistan'daki modern eğitim sisteminin uyarlanması sadece mevcut problemi artırmıştır. Bu araştırma, medrese mezunlarının devlet ve toplumun refahına katkısını ortaya koymayı amaçlamaktadır. Sonuçlar, çok sayıda mezunun, Pakistan ve Dünya Bankası tarafından belirlenen asgari ücret ölçütlerinden bile daha az getirisi olan meslekleri yapmak zorunda kaldıklarını göstermektedir. Bu meslekler arasında şunlar bulunmaktadır: medrese öğretmenleri, imamlar, medreselerdeki memurlar, düşük dereceli gazetelerdeki yazarlar, küçük esnaf. (shrink)

This Essay presents law’s evolution as a paradoxical union of the finite and the infinite. At any given point in time, law is a finite body of norms, which can be identified. At the same time, law’s evolution is infinite because rule-mutations that alter those norms are indeterminable. In modern legal systems, law’s evolution occurs under the constraining influence of master texts, which provide normative durability by enshrining the fundamental norms of a legal system and fortifying them against change. Despite (...) this stabilizing role, however, master texts are themselves open to mutations. Therefore, law’s evolution under the constraints of a master text mediates the paradoxical union of law’s finite and infinite nature. (shrink)

The China-Pakistan Economic Corridor vision and mission are to improve the people's living standards of Pakistan and China through bilateral investments, trade, cultural exchanges, and economic activities. To achieve this envisioned dream, Pakistan established the China-Pakistan Economic Corridor Authority to further its completion, but Covid-19 slowed it down. This situation compelled the digitalization of CPEC. This article reviews the best practices and success stories of various digitalization and e-governance programs and, in this light, advises the implementation of the Ajman Digital (...) Governance model as a theoretical framework for CPEC digitalization. This article concludes that the Pakistani government needs to transform CPEC digitalization by setting up the CPEC Digitalization and Transformation Center at the CPECA office to attract more investors and businesses. (shrink)

Internet-enabled technologies have provided a way for people to communicate and collaborate with each other. The collaboration and communication made crowdsourcing an efficient and effective activity. Crowdsourcing is a modern paradigm that employs cheap labors for accomplishing different types of tasks. The task is usually posted online as an open call, and members of the crowd self-select a task to be carried out. Crowdsourcing involves initiators or crowdsourcers, the crowd, crowdsourcing task, the process, and the crowdsourcing platform where requesters offer (...) various tasks and crowd workers complete these tasks. As the crowdsourcing is carried out in the online environment, it gives rise to certain challenges. The major problem is the selection of crowd that is becoming a challenging issue with the growth in crowdsourcing popularity. Crowd selection has been significantly investigated in crowdsourcing processes. Nonetheless, it has observed that the selection is based only on a single feature of the crowd worker which was not sufficient for appropriate crowd selection. For addressing the problem of crowd selection, a novel “ant colony optimization-based crowd selection method” is presented in this paper that selects a crowd worker based on multicriteria features. By utilizing the proposed model, the efficiency and effectiveness of crowdsourcing activity will be increased. (shrink)

This paper presents four theorems that connect continuity postulates in mathematical economics to solvability axioms in mathematical psychology, and ranks them under alternative supplementary assumptions. Theorem 1 connects notions of continuity (full, separate, Wold, weak Wold, Archimedean, mixture) with those of solvability (restricted, unrestricted) under the completeness and transitivity of a binary relation. Theorem 2 uses the primitive notion of a separately continuous function to answer the question when an analogous property on a relation is fully continuous. Theorem 3 provides (...) a portmanteau theorem on the equivalence between restricted solvability and various notions of continuity under weak monotonicity. Finally, Theorem 4 presents a variant of Theorem 3 that follows Theorem 1 in dispensing with the dimensionality requirement and in providing partial equivalences between solvability and continuity notions. These theorems are motivated for their potential use in representation theorems. (shrink)

This paper presents an examination of the relationship between the presence and composition of a corporate social responsibility (CSR) committee on the corporate governance board and CSR decoupling. Using a sample of listed firms drawn from 41 countries, we found that the presence of a CSR committee on the corporate board is negatively associated with CSR decoupling. We also noted that the nature of the industry to which a firm belongs, a firm's level of CSR orientation, and corporate governance quality (...) strengthen such association. Further analysis of the relationship between the structure of the CSR committee and CSR decoupling shows that larger CSR committee size and a greater independence and longer tenure of its members negatively affect CSR decoupling. Our results are robust to various alternative specifications and offer important research and managerial implications. The findings of this study contribute to the growing literature on corporate governance and CSR. (shrink)

A personalized recommender system is broadly accepted as a helpful tool to handle the information overload issue while recommending a related piece of information. This work proposes a hybrid personalized recommender system based on affinity propagation, namely, APHPRS. Affinity propagation is a semisupervised machine learning algorithm used to cluster items based on similarities among them. In our approach, we first calculate the cluster quality and density and then combine their outputs to generate a new ranking score among clusters for the (...) personalized recommendation. In the first phase, user preferences are collected and normalized as items rating matrix. This generated matrix is then clustered offline using affinity propagation and kept in a database for future recommendations. In the second phase, online recommendations are generated by applying the offline model. Negative Euclidian similarity and the quality of clusters are used together to select the best clusters for recommendations. The proposed APHPRS system alleviates problems such as sparsity and cold-start problems. The use of affinity propagation and the hybrid recommendation technique used in the proposed approach helps in improving results against sparsity. Experiments reveal that the proposed APHPRS performs better than most of the existing recommender systems. (shrink)

South Asia is one of the most densely populated regions of the world, where despite a slow growth, agriculture remains the backbone of rural economy as it employs one half to over 90 percent of the labor force. Both extensive and intensive policy measures for agriculture development to feed the massive population of the region have resulted in land degradation and desertification, water scarcity, pollution from agrochemicals, and loss of agricultural biodiversity. The social and ethical aspects portray even a grimmer (...) picture of the region with growing poverty mainly, amongst small farmers, food scarcity, and overall poor quality of life. This article reviews the historical perspective of agriculture development in the region and gives a panoramic view of the policy initiatives and their environmental as well as social and ethical spin-offs. The aim is to explore the environmental and ethical dimensions of the agricultural development in South Asia and recommend a holistic approach in formulating plans and programs to combat environmental degradation, hunger, and poverty resulting from unsustainable agricultural practices. (shrink)

A Theory of Universal Democracy empowers cultures and communities across the world to custom design democracy in consonance with their traditional values. For example, the book makes concrete proposals for Muslim countries to democratize their constitutions without accepting Western values and without violating the principles of Islamic law. More importantly, Universal Democracy further develops the idea of Free State, which the author first presented in his previous book, The Extinction of Nation-States (Kluwer, 1996). The proposed fusion of Universal Democracy and (...) Free State is designed to revolutionize the classical theory of government and to offer a new paradigm that accommodates both universality and uniqueness. Scholars, teachers and students of international law, constitutional law, legal theory, and Islamic law will find this book a source of valuable ideas. (shrink)

The distinction between assets and ideas lies at the core of the misunderstanding between Islam and secularism, the strongest version of which is unfolding in the United States. Muslims view Islam as knowledge-based (intellectual) property, not an idea. Secularists reduce Islam to a mere idea, reserving the notion of intellectual property for literary and artistic works, inventions, patents, films, computer programs, designs, trademarks, and trade secrets. Muslims elevate the knowledge-based assets of Islam to the highest level of protection, more than (...) the intellectual work of any scientist, artist, or corporation. Even in the face of a rising tide of secularism throughout the world, they refuse to consign their religion to the marketplace of ideas, a place where ideas are depreciated and trashed. This clash of understanding between Islam as an idea and Islam as intellectual property breeds mutual mistrust between secularists and Muslims. (shrink)

Business Ethics, the Environment & Responsibility, EarlyView.

Online forums have become the main source of knowledge over the Internet as data are constantly flooded into them. In most cases, a question in a web forum receives several responses, making it impossible for the question poster to obtain the most suitable answer. Thus, an important problem is how to automatically extract the most appropriate and high-quality answers in a thread. Prior studies have used different combinations of both lexical and nonlexical features to retrieve the most relevant answers from (...) discussion forums, and hence, there is no standard/general set of features that could be effectively used for relevant answer/reply post classification. However, this study proposed an answer detection model that is exclusively relying on lexical features and employs a random forest classifier for classification of answers in discussion boards. Experimental results showed that the proposed answer detection model outperformed the baseline technique and other state-of-the-art machine learning algorithms in terms of classification accuracy on benchmark forum datasets. (shrink)

This Article explores the process of discovering legal scholarship. One may read, read, and read cases and statutes and articles to generate one's own piece of scholarship. But research, though necessary, does not produce durable scholarship. Lasting scholarship is like discovering penicillin. It is like capturing a fleeting revelation. It is an experience reported in language. True legal scholarship is researched poetry of the highest order. Rumi, Frost, Keats would have been great legal scholars. (This article might benefit new law (...) professors who are striving to make their scholarship float in the ocean of words.). (shrink)

The crime is difficult to predict; it is random and possibly can occur anywhere at any time, which is a challenging issue for any society. The study proposes a crime prediction model by analyzing and comparing three known prediction classification algorithms: Naive Bayes, Random Forest, and Gradient Boosting Decision Tree. The model analyzes the top ten crimes to make predictions about different categories, which account for 97% of the incidents. These two significant crime classes, that is, violent and nonviolent, are (...) created by merging multiple smaller classes of crimes. Exploratory data analysis is performed to identify the patterns and understand the trends of crimes using a crime dataset. The accuracies of Naive Bayes, Random Forest, and Gradient Boosting Decision Tree techniques are 65.82%, 63.43%, and 98.5%, respectively, and the proposed model is further evaluated for precision and recall matrices. The results show that the Gradient Boosting Decision Tree prediction model is better than the other two techniques for predicting crime, based on historical data from a city. The analysis and prediction model can help the security agencies utilize the resources efficiently, anticipate the crime at a specific time, and serve society well. (shrink)

Grounding on person–job fit theory, we examined perceived overqualification relation with counterproductive work behavior by identifying job boredom as a mediator and job crafting as a moderator. Hierarchical linear regression and Hayes’ PROCESS macro-method were used to assess hypotheses in a three-wave survey of 317 textile sector employees. The findings show that perceived overqualification is positively related with CWBs. This study further examined the mediating function of job boredom and the moderating impact of job crafting in the association between perceived (...) overqualification and CWB. The findings suggest that job crafting moderates the positive relation between perceived overqualification and job boredom and the indirect connection between perceived overqualification and CWB via job boredom. The model was tested using 3-wave data; however, since the data were attained from a single source, questions of common method bias cannot be ruled out. Managers should look for changes in employee attitudes and promptly modify employees’ positions when they indicate that they have more experience, abilities, and talents required for their roles in their organizations. (shrink)

On taking the common distinction between the legal and the ethical as a point of departure, and in an effort to understand Marshall's approach to self-interest, and thereby to his conception of an ethics of commerce, I read three of his essays in the light of some non-technical writings of Frank Hahn and three other Cambridge intellectuals. My larger project connects self-interest and self-deception to a possible ethics of theorizing in economics, and thereby to the ethics of the relationship between (...) the theorist and the theorized, the analyst and the analyzed. (shrink)

Since the creation of Pakistan the foundation of the Idea of Pakistan has been a matter of academic and political debate. There is a difference between the two spheres. The academic debate allows a room to discuss popular and unpopular ideas and respect the contrary views. The ideology of Pakistan, political system of Pakistan and the constitution of Pakistan have always been discussed and debated amongst scholars. The purpose of this research is to explore the famous presidential address of Allama (...) Iqbal at the annual session of Muslim League in 1930. There are many perceptions about the address delivered by Iqbal, such as he demanded a separate homeland for Muslims of India or not. This research will explore the facts of Iqbal’s speech of Allahabad and will attempt to do justice to his words which have been misinterpreted by some spheres. (shrink)

Most of the IoT-based smart systems require low latency and crisp response time for their applications. Achieving the demand of this high Quality of Service becomes quite challenging when computationally intensive tasks are offloaded to the cloud for execution. Edge computing therein plays an important role by introducing low network latency, quick response, and high bandwidth. However, offloading computations at a large scale overwhelms the edge server with many requests and the scalability issue originates. To address the above issues, an (...) efficient resource management technique is required to maintain the workload over the edge and ensure the reduction of response time for IoT applications. Therefore, in this paper, we introduce a metaheuristic and nature-inspired Artificial Bee Colony optimization technique that effectively manages the workload over the edge server under the strict constraints of low network latency and quick response time. The numerical results show that the proposed ABC algorithm has outperformed Particle Swarm Optimization, Ant Colony Optimization, and Round-Robin Scheduling algorithms by producing low response time and effectively managing the workload over the edge server. Furthermore, the proposed technique scales the edge server to meet the demand of high QoS for IoT applications. (shrink)

This work identifies the influence of chaos theory on fractional calculus by providing a theorem for the existence and stability of solution in fractional-order gyrostat model with the help of a fixed-point theorem. We modified an integer order gyrostat model consisting of three rotors into fractional order by attaching rotatory fuel-filled tank and provided an iterative scheme for our proposed model as a working rule of obtained analytical results. Moreover, this iterative scheme is injected into algorithms for a system of (...) integer order dynamical systems to observe Lyapunov exponents and a bifurcation diagram for our proposed fractional-order dynamical model. Furthermore, we obtained five equilibrium points, including four unstable spirals and one saddle node, using local dynamical analysis which acted as self-exciting attractors and a separatrix in a global domain. (shrink)

With the development of wireless technology, two basic wireless network models that are commonly used, known as infrastructure and wireless ad hoc networks, have been developed. In the literature, it has been observed that channel contention is one of the main reasons for packet drop in WANETs. To handle this problem, this paper presents a routing protocol named CCBR. CCBR tries to determine a least contended path between the endpoints to increase packet delivery ratio and to reduce packet delay and (...) normalized routing overhead. Moreover, throughout the active data section, each intermediate node computes its channel contention value. If an intermediate node detects an increase in channel contention, it notifies the source node. Then the source node determines another least contended route for transmission. The advantages of CCBR are verified in our NS2-based performance study, and the results show that CCBR outperforms ad hoc on-demand distance vector in terms of packet delivery ratio, end-to-end delay, and routing overhead by 4% to 9%. (shrink)

Unmanned aerial vehicles, particularly quadcopters, have several medical, agriculture, surveillance, and security applications. However, the use of this innovative technology for civilian applications is still very limited in low-income countries due to the high cost, whereas low-cost controllers available in the market are often tuned using the hit and trial approach and are limited for specific applications. This paper addresses this issue and presents a novel proof of concept low-cost quadcopter UAV design approach using a systematic Model-Based Design method for (...) mathematical modeling, simulation, real-time testing, and prototyping. The quadcopter dynamic model is developed, and controllers are designed using Proportional Integral, and Derivative, Pole Placement, and Linear Quadratic Regulator control strategies. The stability of the controllers is also checked using Lyapunov stability analysis. For verification and validation of the design, Software-in-the-Loop, Processor-in-the-Loop, Hardware-in-the-loop testing, and Rapid Control Prototyping have been performed. The V&V methods of the MBD approach showed practically valid results with a stable flight of the quadcopter prototype. The proposed low-cost POC quadcopter design approach can be easily modified to have enhanced features, and quadcopters with different design parameters can be assembled using this approach for a diverse range of applications. (shrink)

BackgroundIn recent years, technological advancements have increased the importance of innovation activities. Therefore, firms invest millions of dollars in innovation activities to ensure long-term business sustainability. Similarly, consumer concerns have increased dramatically over the past years. Thus, brand loyalty has become a top priority for firms and consumers. In this background, this research examines how firms’ innovation activities translate into consumer brand loyalty to assure business sustainability in Asian markets, particularly China, Pakistan, and Indonesia.ObjectivesThis study’s specific objectives are to comprehend (...) the concept of firms’ innovation activities and their effect on the brand prototype. Examine the effect of the brand prototype on global brand preference, recommendation, and loyalty among Asian consumers. Find out the impact of brand preference on brand recommendations and the influence of brand recommendations on brand loyalty among Asian consumers.Materials and methodsA total of 814 consumers from Asian countries participated in this study, and structural equation modeling was used to analyze the data.ResultsThe findings indicate that firms’ innovation activities, such as processes, products, and store environment, positively influenced the brand prototype, thereby increasing consumer brand knowledge. Likewise, brand prototype contributes to developing brand preference, brand recommendation, and brand loyalty among Asian consumers. Lastly, consumer brand preference significantly influenced brand recommendation, which positively improves consumer brand loyalty in Asia.ConclusionThis study concluded that Asian consumers have favorable perceptions of firms’ innovation activities, which influences their ability to develop brand prototypes to increase consumer brand knowledge. Similarly, brand prototype fosters brand preference, recommendation, and loyalty. Likewise, favorable brand preference encourages consumers to recommend the brand to others, strengthening brand loyalty. Thus, firms should invest in innovation activities to strengthen consumer brand loyalty in Asian markets. Consequently, this study may assist multinational corporations in increasing their business volumes and market shares in Asia.Managerial recommendationsThis study provides important managerial recommendations. The findings revealed that global managers can develop and implement several branding strategies for sustaining their businesses in the Asian environment. (shrink)

In this article, we solve nonlinear systems of third order KdV Equations and the systems of coupled Burgers equations in one and two dimensions with the help of two different methods. The suggested techniques in addition with Laplace transform and Atangana–Baleanu fractional derivative operator are implemented to solve four systems. The obtained results by implementing the proposed methods are compared with exact solution. The convergence of the method is successfully presented and mathematically proved. The results we get are compared with (...) exact solution through graphs and tables which confirms the effectiveness of the suggested techniques. In addition, the results obtained by employing the proposed approaches at different fractional orders are compared, confirming that as the value goes from fractional order to integer order, the result gets closer to the exact solution. Moreover, suggested techniques are interesting, easy, and highly accurate which confirm that these methods are suitable methods for solving any partial differential equations or systems of partial differential equations as well. (shrink)

Data center technology changes the mode of computing. Traditional DCs consist of a single layer and only have Ethernet connections among switches. Those old-fashioned DCs cannot fulfill the high resource demand compared with today’s DCs. The architectural design of the DCs is getting substantial importance and acting as the backbone of the network because of its essential feature of supporting and maintaining the rapidly increasing Internet-based applications which include search engines and social networking applications. Every application has its parameters, like (...) latency and blocking in the DC network. Every data center network has its specialized architecture. It has a specific arrangement of layers and switches, which increase or decrease the DC network’s efficiency. We develop a simulation tool that comprises two different DC architectures: basic tree architecture and c-Through architecture. Using this simulation, we analyze the traffic behavior and the performance of the simulated DCN. Our main purpose is to focus on mean waiting time, load, and blocking with respect to the traffic within the DCN. (shrink)

IntroductionThe COVID-19 pandemic has led to unprecedented strain to healthcare systems worldwide and posed unique challenges to the healthcare professionals and the general public.ObjectivesThe aim of this study is to evaluate the impact of COVID-19 on the mental health, behavioral, and physical wellbeing of HCPs in the early and mid-term periods of the pandemic in comparison to non-HCPs. Thus, facilitating and guiding optimum planning and delivery of support to HCPs.Methods and AnalysisAn observational cross-sectional survey and cohort study aiming to enroll (...) over 1050 participants. Study questionnaires will be completed at baseline and after 6-weeks and 4-months. Recruitment initiated July 2020. The study was designed in London, United Kingdom, but open to participants worldwide. Baseline: Questionnaires comprising of validated self-administered screening tools for depression, anxiety, sleep-related issues, wellbeing, and burnout. The questionnaires also explore changes in behavior and physical wellbeing of the participants. In addition, associations of these mental health and behavioral factors with work-related factors and support will be explored. Six-weeks and 4-months follow-up: Follow-up questionnaires will assess change in symptoms of anxiety and depression, sleep disorders, use of alcohol and other substances, behavioral or interpersonal relationship changes. Physical wellbeing will be assessed through the presence of suspected or confirmed COVID-19 infection and absence from work. We will also evaluate the impact of variable provision of personal protection equipment, extended working hours, and concern for the wellbeing of family members, anxiety levels, and evidence of burnout.Statistical ConsiderationsThe study has 80% power to detect a 10% difference of combined depression and/or anxiety symptoms between the groups using two-sided type 1 error at 0.05 at baseline. Assuming that only 50% of these HCPs agree to be a part of a cohort survey, we will have 80% power to detect around 12% difference in the two groups in reported physical symptoms, or prevalence of depression and/or anxiety at the end of the study.EthicsThe study was approved by the Cambridge East, Research Ethics Committee.Trial Registration NumberClinicalTrials.gov, NCT04433260. (shrink)