There is a trend toward the use of predictive systems in communications networks. At the systems and network management level predictive capabilities are focused on anticipating network faults and performance degradation. Simultaneously, mobile communication networks are being developed with predictive location and tracking mechanisms. The interactions and synergies between these systems present a new set of problems. A new predictive network management framework is developed and examined. The interaction between a predictive mobile network and the proposed network management system is (...) discussed. The Rapidly Deployable Radio Network is used as a specific example to illustrate these interactions. (shrink)

This research concentrates on the design and analysis of an algorithm referred to as Virtual Network Configuration (VNC) which uses predicted future states of a system for faster network configuration and management. VNC is applied to the configuration of a wireless mobile ATM network. VNC is built on techniques from parallel discrete event simulation merged with constraints from real-time systems and applied to mobile ATM configuration and handoff. Configuration in a mobile network is a dynamic and continuous process. Factors such (...) as load, distance, capacity and topology are all constantly changing in a mobile environment. The VNC algorithm anticipates configuration changes and speeds the reconfiguration process by pre-computing and caching results. VNC propagates local prediction results throughout the VNC enhanced system. The Global Positioning System is an enabling technology for the use of VNC in mobile networks because it provides location information and accurate time for each node. This research has resulted in well defined structures for the encapsulation of physical processes within Logical Processes and a generic library for enhancing a system with VNC. Enhancing an existing system with VNC is straight forward assuming the existing physical processes do not have side effects. The benefit of prediction is gained at the cost of additional traffic and processing. This research includes an analysis of VNC and suggestions for optimization of the VNC algorithm and its parameters. (shrink)

A fundamental understanding of gain provided by motion prediction in wireless ad hoc routing is currently lacking. This paper examines benefits in routing obtainable via prediction. A theoretical best-case non-predictive routing model is quantified in terms of both message overhead and update time for non-predictive routing. This best- case model of existing routing performance is compared with predictive routing. Several specific instances of predictive improvements in routing are examined. The primary contribution of this paper is quantification of predictive gain for (...) wireless ad hoc routing. (shrink)

The Internet was conceptualized as a technology that would be capable of bringing about a better future, but recent literature in science and technology studies and adjacent fields provides numerous examples of how this pervasive sociotechnical system has been shaped and used to dystopic ends. This article examines different future imaginaries present in Future Internet Architecture projects funded by the National Science Foundation from 2006 to 2016, whose goal was to incorporate social values while building new protocols (...) to replace Transmission Control Protocol and Internet Protocol to transfer and route information across the ever-expanding Internet. I examine the findings from two of the NSF’s FIA projects—Mobility First and eXpressive Internet Architecture—to understand the projects’ trajectories and values directives through their funding cycle and their projections into the future. I discuss how project documentation and participant articulations fall into the following three distinct themes about past experience and speculation: understanding the public, negotiating resources, and carrying project values into the future. I conclude that if the future Internet is to promote positive sociotechnical relationships, its architects must recognize that complex social and political decisions pervade each step of technical work and do more to honor this fact. (shrink)

The technical details of Internet architecture affect social debates about privacy and autonomy, intellectual property, cybersecurity, and the basic performance and reliability of Internet services. This paper explores one method for practicing anticipatory ethics in order to understand how a new infrastructure for the Internet might impact these social debates. This paper systematically examines values expressed by an Internet architecture engineering team—the Named Data Networking project—based on data gathered from publications and internal documents. (...) Networking engineers making technical choices also weigh non-technical values when working on Internet infrastructure. Analysis of the team’s documents reveals both values invoked in response to technical constraints and possibilities, such as efficiency and dynamism, as well as values, including privacy, security and anonymity, which stem from a concern for personal liberties. More peripheral communitarian values espoused by the engineers include democratization and trust. The paper considers the contextual and social origins of these values, and then uses them as a method of practicing anticipatory ethics: considering the impact such priorities may have on a future Internet. (shrink)

PurposeStarting from the end‐to‐end principle, a founding element of the internet's technical architecture, the paper aims to discuss its extension and effects at the social level. It shows how the internet moves power from governments and private entities to individual citizens, restructuring our societies and creating a new global stakeholder class – individual users of the internet. It connects the advent of this stakeholder class with a traditional principle of internet governance, “rough consensus”. It discusses (...) advantages and risks of this change, suggesting that this shift of power might be beneficial to solve deadlocks in the governance of global phenomena and to ensure that solutions pursue the global public interest. Finally, it discusses how this social evolution can be protected from opposing forces, countering the opinion that the freedom of the internet is intrinsic and not needing regulatory supports.Design/methodology/approachThe paper builds upon observation of case studies, such as the struggle between the industry and users over peer‐to‐peer music downloads, and upon the author's first‐hand experience in global internet governance processes.FindingsThe paper formalizes a social expression of the end‐to‐end principle and demonstrates the need for such principle to be recognized and protected by regulation, to preserve the social model described in the paper and its benefits.Originality/valueThe paper explores the connections between the technical, economic and social architectures of the global network, providing support for understanding the political dynamics of the internet and other global phenomena, and for designing effective governance processes to address them. (shrink)

Deals with topics and insight into the design and architecture of next-generation computing systems that deal with human and social problems. Processor and Internet technologies form the subject matter and focal point, while information and knowledge on the Internet delivered by next-generation mobile networks form the technical core presented.

Networked service organisations are increasingly adopting a ‘smarter networking’ philosophy in their design of more agile and customer-focused supply models. Changing consumer behaviours and the emergence of transformative technologies—industry 4.0, artificial intelligence, big data analytics, the Internet of Things—are driving a series of innovations, in terms of ‘products’ and business models, with major implications for the industrial enterprise, in their design of more ‘digitalised’ supply chains. For B2B systems, emerging ‘product-service’ offerings are requiring greater visibility, alignment and integration (...) across an increasingly complex network of multiple partners and collaborators, in order to deliver a better service and customer ‘experience’. To support the design and operation of these multi-organisational service networks, we outline a concept of operations architecture here, underpinned by the literature and network theory, and demonstrate application using a series of exemplar case studies. Focusing on relational elements and the processes key to network integration within service supply networks, the cases inform a set of operating principles and protocols—applicable to all stakeholders ‘cooperating’, within a ‘shared’ environment. Equally critical is to understand how digital technologies may influence future operating philosophies. This article extends our theoretical understanding of network organisations, from a traditional ‘product’ perspective to that of ‘services’, and presents the case for developing a common, unified approach to designing diverse forms of multi-partner service networks. (shrink)

In an Internet of Things (IoT) environment, IoT devices are typically connected through different network media types such as mobile, wireless and wired networks. Due to the pervasive nature of such devices, they are a potential evidence source in both civil litigation and criminal investigations. It is, however, challenging to identify and acquire forensic artefacts from a broad range of devices, which have varying storage and communication capabilities. Hence, in this paper, we first propose an IoT network architecture (...) for the forensic purpose that uses machine learning algorithms to autonomously detect IoT devices. Then we posit the importance of focusing on the links between different IoT devices (e.g. whether one device is controlled or can be accessed from another device in the system), and design an approach to do so. Specifically, our approach adopts a graph for modelling IoT communications’ message flows to facilitate the identification of correlated network traffic based on the direction of the network and the associated attributes. To demonstrate how such an approach can be deployed in practice, we provide a proof of concept using two IoT controllers to generate 480 commands for controlling two IoT devices in a smart home environment and achieve an accuracy rate of 98.3% for detecting the links between devices. We also evaluate the proposed autonomous discovering of IoT devices and their activities in a TCP network by using real-world measurements from a public dataset of a popular off-the-shelf smart home deployed in two different locations. We selected 39 out of 81 different IoT devices for this evaluation. (shrink)

Aiming at the problem of insufficient health monitoring of the elderly in the existing home care system, this paper designs a health information analysis and early warning system based on the Internet of Things technology, which can monitor the physiological data of the elderly in real time. It also can be based on the elderly real-time monitoring data, physical examination data, and other types of health data, which can be used to predict diseases, so as to achieve “early detection (...) and early treatment” of diseases. First, analyse and design the architecture and content of the home care monitoring system based on the Internet of Things. Secondly, based on the collected heart rate, blood pressure, and three-axis acceleration information of the elderly, it is analysed to determine whether the elderly are in danger of falling, and the designed system is used for early warning. Finally, this paper analyses the prediction algorithm theory of the disease prediction module in the health monitoring software of the home care system. In order to improve the accuracy of prediction, the DS evidence theory is used to optimize the traditional BP neural network algorithm and conduct experimental tests. The test results show that the health information analysis and early warning software of the home care system meet actual needs and achieve the expected goals. (shrink)

To study the development trend of embedded platforms in home appliances Internet of Things, an application of embedded Linux in the design of IoT gateway is designed. ARM microprocessor S3C2410, EM310 radio frequency module, and Ethernet DM9000A module are used to realize the home network information-processing platform. The platform utilizes existing network facilities, RF modules, and network interface modules to realize the interconnection of the home perception network through wireless or wired links. For experimental analysis, Ping the central server (...) from the IoT node B is set to twice: The first time ttl = 255 time = 1.9 ms, the second time: ttl = 255 time = 2.4 ms. After application verification, the system has the characteristics of low cost, small size, low power consumption, and vital ease of use. It can not only integrate the home Internet and the IoT gateway but also directly run application-layer communication protocols such as HTTP/mqtt between IoT nodes and Internet terminals. The design supports multi-hop communication and significantly increases the deployment range of IoT nodes without signal relay equipment, hence reducing the cost of IoT networking and the complexity of the network architecture. (shrink)

The goal of this paper is to define and analyze systems which exhibit brittle behavior. This behavior is characterized by a sudden and steep decline in performance as the system approaches the limits of tolerance. This can be due to input parameters which exceed a specified input, or environmental conditions which exceed specified operating boundaries. An analogy is made between brittle commmunication systems in particular and materials science.

While the rate of Internet use among the older population in China is rapidly increasing, the outcomes associated with Internet use remain largely unexplored. Currently, there are contradictory findings indicating that Internet use is sometimes positively and sometimes negatively associated with older adults’ subjective well-being. Therefore, we examined the associations between different types of Internet use, social networks, and loneliness among Chinese older adults using data from the Chinese Longitudinal Ageing Society Survey. Internet use was (...) classified as interpersonal communication and information acquisition, and social networks were divided into family and friendship ties. The results showed that both interpersonal communication and information acquisition were associated with lower loneliness. Interpersonal communication can increase social networks, and family ties have a mediating effect on the association between Internet use for interpersonal communication and loneliness. Although information acquisition can directly decrease loneliness in older adults, it can also damage existing social networks and further increase loneliness. Family ties act as a suppressor in the association between Internet use for information acquisition and loneliness. Our study further discusses important implications for improving the subjective well-being of older adults in the digital era, based on the empirical findings. (shrink)

With the rapid development of the Internet information age, social networks, mobile Internet, and e-commerce have expanded the scope of Internet applications. The “big data” era is a challenge and chance for companies and has a great impact on social economy, politics, culture, and people’s lives. An accurate marketing system is developed based on J2EE, and the architecture is selected from the user layer, business logic layer, and data layer and the B/S3 layer application, including three (...) layers of crip-dm and semma. And, other process methods are used. Data-mining-based marketing system information solutions consist of several parts, such as requirement analysis, design, implementation, and testing. This paper introduces data mining technology to the marketing business based on the practical use and design IT solutions for precision marketing, attribute selection tools, attribute analysis tools, modeling prediction tools, and others. This paper introduces a precision marketing system based on data mining technology. The system passes the actual test and the deployment and the operation of this system are confirmed. The system, which can improve marketing activity, is tested, and the development and operation of this system markedly increase the company’s earnings. (shrink)

NEMO means Network Mobility which is the extension of Mipv6 and it is invented for accessing internet for the group of people when they are travelling in Vehicle as Network group. During handoff while exchanging Binding Updates between the Mobile Network Node, Correspondent Node and Home Agent, many security threats are present during those messages exchange. It may prone to several standard malicious attacks on the BU and Binding Acknowledgement. An efficient end-to-end security method is required to protect the (...) BU Exchange between MNN, HA and CN. In this paper, a secure architecture is proposed to provide authentication and confidentiality at each level of communication using a 3-Party Key Exchange called 3-PKE-NEMO with the help of Bilinear Pairing Theorem. Handoff delay is reduced without compromising security strength. The whole experimentation of this proposed work is carried out using NS2 simulation tool and authentication proof is given using BAN logic between all the nodes in NEMO. The proposed security architecture is compared with related existing solutions and found to be more secure. (shrink)

In this paper, through the intelligent research of the whole process of logistics and distribution with the Internet of Things supply chain, we study how to improve the development of the cold chain, reduce the loss in circulation, improve the social and economic benefits, and carry out intelligent information collection, monitoring, management, and information tracing of the whole cold chain. This paper analyzes and empirically studies the impact of key technologies of the Internet of Things in cold chain (...) coordination from the perspective of building an intelligent cold chain coordination system with the Internet of Things technology. This paper analyzes the current situation of cold chain logistics and the impact that the application of IoT technology will have, explains that IoT technology can improve the intelligence level of the cold chain, and then introduces the application of intelligent cold chain logistics under IoT orientation, combining the process of cold chain logistics with the three-layer architecture of IoT technology. By extracting the key technologies of IoT perception layer, network layer, and intelligence layer, the intelligent cold chain coordination system based on IoT technology is constructed, and then, the correctness of the system is verified, to have some reference and evaluation for the cold chain construction. The system was then verified to have some reference and guidance significance for the construction and evaluation of the cold chain. The results of this paper are more accurate and more efficient. (shrink)

Although the intrinsic physicality of human beings has not changed in millennia, the species has managed to profoundly reconstitute the physical and social world it inhabits. Although the word “profound” is insufficient to describe the vast changes our world has undergone, it is sufficiently neutral to encompass both the opportunities—and the challenges—that our age provides. It is a premise of my work that technology, particularly information and communication technology (ICT), offers spectacular opportunities for humankind to address its collective problems. The (...) problems themselves are equally spectacular that is war and militarism, poverty, environmental depletion and destruction, disease, etc., and lack of successful alleviation may prove catastrophic. Humankind’s problems will not be solved by elite fiat, by chance, or as a side-effect of the “free market.” To address these challenges effectively and appropriately, “civic intelligence” will be required. This paper is designed to explore the relation between community networks and the nascent concept of civic intelligence. Civic intelligence describes the capacity of society to consciously adapt to its environment and shape a future environment that is healthy, equitable, and sustainable. Although individuals contribute to civic intelligence, the concept describes a phenomenon that is collective and distributed. This paper argues that community networks were an important manifestation of civic intelligence in the early days of the Internet revolution. It further argues that a theory of civic intelligence can be used to account for the declining influence of traditional community networks and to provide useful prescriptions for renewed vitality and influence of community networks in the future. (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)

Spontaneous brain activity has received increasing attention as demonstrated by the exponential rise in the number of published papers on this topic over the last thirty years. Such “intrinsic” brain activity, generated in the absence of an explicit task, is frequently associated with resting-state or default-mode networks. The focus on characterizing spontaneous brain activity promises to shed new light on questions concerning the structural and functional architecture of the brain and how they are related to “mind”. However, many critical (...) questions have yet to be addressed. In this review, we focus on a scarcely explored area, specifically the energetic requirements and constraints of spontaneous activity, taking into account both thermodynamical and informational perspectives. We argue that the “classical” definitions of spontaneous activity do not take into account an important feature, that is, the critical thermodynamic energetic differences between spontaneous and evoked brain activity. Spontaneous brain activity is associated with slower oscillations compared with evoked, task-related activity, hence it exhibits lower levels of enthalpy and “free-energy” (i.e. the energy that can be converted to do work), thus supporting noteworthy thermodynamic energetic differences between spontaneous and evoked brain activity. Increased spike frequency during evoked activity has a significant metabolic cost, consequently, brain functions traditionally associated with spontaneous activity, such as mind wandering, require less energy that other nervous activities. We also review recent empirical observations in neuroscience, in order to capture how spontaneous brain dynamics and mental function can be embedded in a non-linear dynamical framework, which considers nervous activity in terms of phase spaces, particle trajectories, random walks, attractors and/or paths at the edge of the chaos. This takes us from the thermodynamic free-energy, to the realm of “variational free-energy”, a theoretical construct pertaining to probability and information theory which allows explanation of unexplored features of spontaneous brain activity. (shrink)

Active networking is an exciting new paradigm in digital networking that has the potential to revolutionize the manner in which communication takes place. It is an emerging technology, one in which new ideas are constantly being formulated and new topics of research are springing up even as this book is being written. This technology is very likely to appeal to a broad spectrum of users from academia and industry. Therefore, this book was written in a way that enables (...) all these groups to understand the impact of active networking in their sphere of interest. Information services managers, network administrators, and e-commerce developers would like to know the potential benefits of the new technology to their businesses, networks, and applications. The book introduces the basic active networking paradigm and its potential impacts on the future of information handling in general and on communications in particular. This is useful for forward-looking businesses that wish to actively participate in the development of active networks and ensure a head start in the integration of the technology in their future products, be they applications or networks. Areas in which active networking is likely to make significant impact are identified, and the reader is pointed to any related ongoing research efforts in the area. The book also provides a deeper insight into the active networking model for students and researchers, who seek challenging topics that define or extend frontiers of the technology. It describes basic components of the model, explains some of the terms used by the active networking community, and provides the reader with taxonomy of the research being conducted at the time this book was written. Current efforts are classified based on typical research areas such as mobility, security, and management. The intent is to introduce the serious reader to the background regarding some of the models adopted by the community, to outline outstanding issues concerning active networking, and to provide a snapshot of the fast-changing landscape in active networking research. Management is a very important issue in active networks because of its open nature. The latter half of the book explains the architectural concepts of a model for managing active networks and the motivation for a reference model that addresses limitations of the current network management framework by leveraging the powerful features of active networking to develop an integrated framework. It also describes a novel application enabled by active network technology called the Active Virtual Network Management Prediction (AVNMP) algorithm. AVNMP is a pro-active management system; in other words, it provides the ability to solve a potential problem before it impacts the system by modeling network devices within the network itself and running that model ahead of real time. (shrink)

Active networking is an exciting new paradigm in digital networking that has the potential to revolutionize the manner in which communication takes place. It is an emerging technology, one in which new ideas are constantly being formulated and new topics of research are springing up even as this book is being written. This technology is very likely to appeal to a broad spectrum of users from academia and industry. Therefore, this book was written in a way that enables (...) all these groups to understand the impact of active networking in their sphere of interest. Information services managers, network administrators, and e-commerce developers would like to know the potential benefits of the new technology to their businesses, networks, and applications. The book introduces the basic active networking paradigm and its potential impacts on the future of information handling in general and on communications in particular. This is useful for forward-looking businesses that wish to actively participate in the development of active networks and ensure a head start in the integration of the technology in their future products, be they applications or networks. Areas in which active networking is likely to make significant impact are identified, and the reader is pointed to any related ongoing research efforts in the area. The book also provides a deeper insight into the active networking model for students and researchers, who seek challenging topics that define or extend frontiers of the technology. It describes basic components of the model, explains some of the terms used by the active networking community, and provides the reader with taxonomy of the research being conducted at the time this book was written. Current efforts are classified based on typical research areas such as mobility, security, and management. The intent is to introduce the serious reader to the background regarding some of the models adopted by the community, to outline outstanding issues concerning active networking, and to provide a snapshot of the fast-changing landscape in active networking research. Management is a very important issue in active networks because of its open nature. The latter half of the book explains the architectural concepts of a model for managing active networks and the motivation for a reference model that addresses limitations of the current network management framework by leveraging the powerful features of active networking to develop an integrated framework. It also describes a novel application enabled by active network technology called the Active Virtual Network Management Prediction (AVNMP) algorithm. AVNMP is a proactive management system; in other words, it provides the ability to solve a potential problem before it impacts the system by modeling network devices within the network itself and running that model ahead of real time. (shrink)

Forums of public discussion on Internet Web sites have been promoted by some as having the potential to improve democracy through large increases in civic engagement. Such claims are scoffed at by others. To date, such forums tend to be found more on community networks and commercial Web sites than on sites owned by governments. We thus turn to an examination of forums hosted by a private New Jersey organization, to seek to understand the types and character of discussion (...) taking place. Discussion of politics and government, especially at the local level, represented slightly more than one half of the postings. Participation in the forums, however, appeared limited to a small number of people. (shrink)

Streaming media server is the core system of audio and video application in the Internet; it has a wide range of applications in music recommendation. As song libraries and users of music websites and APPs continue to increase, user interaction data are generated at an increasingly fast rate, making the shortcomings of the original offline recommendation system and the advantages of the real-time streaming recommendation system more and more obvious. This paper describes in detail the working methods and contents (...) of each stage of the real-time streaming music recommendation system, including requirement analysis, overall design, implementation of each module of the system, and system testing and analysis, from a practical scenario. Moreover, this paper analyzes the current research status and deficiencies in the field of music recommendation by analyzing the user interaction data of real music websites. From the actual requirements of the system, the functional and performance goals of the system are proposed to address these deficiencies, and then the functional structure, general architecture, and database model of the system are designed, and how to interact with the server side and the client side is investigated. For the implementation of data collection and statistics module, this paper adopts Flume and Kafka to collect user behavior data and uses Spark Streaming and Redis to count music popularity trends and support efficient query. The recommendation engine module in this paper is designed and optimized using Spark to implement incremental matrix decomposition on data streams, online collaborative topic model, and improved item-based collaborative filtering algorithm. In the system testing section, the functionality and performance of the system are tested, and the recommendation engine is tested with real datasets to show the discovered music themes and analyze the test results in detail. (shrink)

This article examines the architecture of public access and of private digital networks in order to establish in what ways they might be subject to regulation, alter the authority of the national state, and have positive or negative impacts on liberal democracy and on the political potential of civil society. Two of the key issues explored in this context are the meaning of regulation, which is likely to be quite different from our historically grounded understandings of state regulation, and, (...) second, the sharp and often overlooked differences between public access and private digital networks. (shrink)

Some controversies in cognitive science, such as arguments about whether classical or distributed connectionist architectures best model the human cognitive system, reenact long‐standing debates in the philosophy of science. For millennia, philosophers have pondered whether mentality can submit to scientific explanation generally and to physical explanation particularly. Recently, positive answers have gained popularity. The question remains, though, as to the analytical level at which mentality is best explained. Is there a level of analysis that is peculiarly appropriate to the explanation (...) of either consciousness or mental contents? Are human consciousness, cognition, and conduct best understood in terms of talk about neurons and networks or schemas and scripts or intentions and inferences? If our best accounts make no appeal to our hopes or beliefs or desires, how do we square those views with our conception of ourselves as rational beings? Moreover, can models of physical processes explain our mental lives? Does mentality require a special level of rational or cognitive explanation, or is it best understood in terms of overall brain functioning or neuronal or molecular or even quantum activities – or any of a dozen levels of physical explanation in between? Also, regardless of how they compare with explanations cast at physical levels, what is the status of psychological explanations that appeal fundamentally to mental contents? (shrink)

The debate on whether and how the Internet can protect and foster human rights has become a defining issue of our time. This debate often focuses on Internet governance from a regulatory perspective, underestimating the influence and power of the governance of the Internet’s architecture. The technical decisions made by Internet Standard Developing Organisations that build and maintain the technical infrastructure of the Internet influences how information flows. They rearrange the shape of the technically (...) mediated public sphere, including which rights it protects and which practices it enables. In this article, we contribute to the debate on SDOs’ ethical responsibility to bring their work in line with human rights. We defend three theses. First, SDOs’ work is inherently political. Second, the Internet Engineering Task Force, one of the most influential SDOs, has a moral obligation to ensure its work is coherent with, and fosters, human rights. Third, the IETF should enable the actualisation of human rights through the protocols and standards it designs by implementing a responsibility-by-design approach to engineering. We conclude by presenting some initial recommendations on how to ensure that work carried out by the IETF may enable human rights. (shrink)

A stable democracy requires a shared identity and political culture. Its citizens need to identify as one common demos lest it fracture and balkanise into separate political communities. This in turn necessitates some common communication network for political messages to be transmitted, understood and evaluated by citizens. Hence, what demarcates one demos from another are the means of communication connecting the citizens of those demoi, allowing them to debate and persuade each other on the proper conduct of government and on (...) issues of common interest. For the ancient Athenians, their public sphere was the agora (marketplace); for the Federalists in the American colonies, the newspaper; for us today, it is the Internet. Until now, the physical nature of these communication networks has resulted in a trade-off between the reach of political messages (the numeric and geographic composition of the demos who receive political messages and may participate in the public sphere) and the ability to target the content of a message on that network towards individual citizens. One-to-one interpersonal conversation in the agora was highly targeted but could reach only as far as a voice could carry. The speakers and audience were well known to each other through personal interaction. As the printing press and later television allowed for greater and greater reach, the content of these messages became more generic as the speakers became more distant from their audience. The wider the audience grew, the less a message could be targeted at a particular audience segment without alienating others. (shrink)

The information-centric networking paradigm is attracting more and more interest from the research community due to its peculiarities that make it one of the best candidates for constructing the future Internet. For this reason, there are many papers in literature that study how to transform ICN principles in reality in order to magnify its relevance for the society. In order to provide a solid summary of the state of the art, the present contribution tries to summarize the main (...) findings related to this research field. In particular, an overview on the most important ICN architectures, their main aspects, common networking approaches, and differences is provided. Moreover, the work carried out in standardization bodies, with particular attention to the list of baseline scenarios defined in this context, is illustrated. Also the main international projects that are trying to integrate ICN networking primitives in pioneering use cases are presented, describing proposed architectures and related challenges for enabling information-centric primitives in current network infrastructures. Finally, the work highlights design principles and core components to build ICN-enabled network devices. (shrink)

There are many studies conducted on recommendation systems, most of which are focused on recommending items to users and vice versa. Nowadays, social networks are complicated due to carrying vast arrays of data about individuals and organizations. In today’s competitive environment, companies face two significant problems: supplying resources and attracting new customers. Even the concept of supply-chain management in a virtual environment is changed. In this article, we propose a new and innovative combination approach to recommend organizational people in social (...) networks based on organizational communication and SCM. The proposed approach uses a hybrid strategy that combines basic collaborative filtering and demographic recommendation systems, using data mining, artificial neural networks, and fuzzy techniques. The results of experiments and evaluations based on a real dataset collected from the LinkedIn social network showed that the hybrid recommendation system has higher accuracy and speed than other essential methods, even substantially has eliminated the fundamental problems with such systems, such as cold start, scalability, diversity, and serendipity. (shrink)

The research focus is set in the investigation of positive and negative aspects of use of social networks using a ‘bifocal approach’ to social networks analysis. Our bifocal approach uses qualitative approach reviewing published literature primarely blogs, forums, web sites, etc and interchangeably compares and conveys the results with focus groups. The objective of the research study is to show that social networks can runs both ways, it can be helpful while at the same time can be very dangerous and (...) impact in asocialization and other harmfull ways. Social networks have become an inseparable part of not only students but also the lives of people in general. Students spend a lot of time utilizing social networks and are considered to be the largest social network users. Students communicating with social networks, especially virtual communities, enabled real-time access, communication synchronization, posting and sharing photos, videos, original and creative work are the main activities and interests of students. As a result of the fast acquisition of social networks, people today live in the world of technology and can quickly gain competences in their daily lives, these changes in technology also affect the lives of students. The Internet has also changed day-to-day and student activities both in University life and in social life. The research study tries to investigate and present a realistic picture of the current situation on the impact of social networks on students. The research methodology is qualitative and reviewed is the published research in the field as well as blogs, forums and other web sites where real life experiences and opinions are expressed from real users. Also 2 student focus groups have been used, novice and expert group. The research study tries to contribute with the recommendations how students can use these networking technologies positively in their daily lives and where educational opportunities are still unknown, we can help schools to be more important, connected, and fully understandable to students, and at the same time to alert to the dangers of social networks. Therefore, the main purpose of this research study is to investigate the effects of using social networks and their social or antisocial impact to society. Based on the study, the conclusion is that in order to protect the student we should increase the awareness for the risk that are coming from inappropriate use of social networks. Insights and recommendations are provided. (shrink)

The convergence of increasingly efficient high throughput sequencing technology and ubiquitous Internet use by the public has fueled the proliferation of companies that provide personal genetic information (PGI) direct-to-consumers. Companies such as 23andme (Mountain View, CA) and Navigenics (Foster City, CA) are emblematic of a growing market for PGI that some argue represents a paradigm shift in how the public values this information and incorporates it into how they behave and plan for their futures. This new class of social (...) networking business ventures that market the science of the personal genome illustrates the new trend in collaborative science. In addition to fostering a consumer empowerment movement, it promotes the trend of democratizing information—openly sharing of data with all interested parties, not just the biomedical researcher—for the purposes of pooling data (increasing statistical power) and escalating the innovation process. This target article discusses the need for new approaches to studying DTC genomics using social network analysis to identify the impact of obtaining, sharing, and using PGI. As a locus of biosociality, DTC personal genomics forges social relationships based on beliefs of common genetic susceptibility that links risk, disease, and group identity. Ethical issues related to the reframing of DTC personal genomic consumers as advocates and research subjects and the creation of new social formations around health research may be identified through social network analysis. (shrink)

The wanton dissemination of network pseudohealth information has brought great harm to people’s health, life, and property. It is important to detect and identify network pseudohealth information. Based on this, this paper defines the concepts of pseudohealth information, data block, and data block integration, designs an architecture that combines the latent Dirichlet allocation algorithm and data block update integration, and proposes the combination algorithm model. In addition, crawler technology is used to crawl the pseudohealth information transmitted on the Sina (...) Weibo platform during the “epidemic situation” from February to March 2020 for the simulation test on the experimental case dataset. The research results show that the LDA model can deeply mine the semantic information of network pseudohealth information, obtain the features of document-topic distribution, and classify and train topic features as input variables; the dataset partitioning method can effectively block data according to the text attributes and class labels of network pseudohealth information and can accurately classify and integrate the block data through the data block reintegration method; and considering that the combination model has certain limitations on the detection of network pseudohealth information, the support vector machine model can extract the granularity content of data blocks in pseudohealth information in real time, thus greatly improving the recognition performance of the combination model. (shrink)

The ontology of social objects and facts remains a field of continued controversy. This situation complicates the life of social scientists who seek to make predictive models of social phenomena. For the purposes of modelling a social phenomenon, we would like to avoid having to make any controversial ontological commitments. The overwhelming majority of models in the social sciences, including statistical models, are built upon ontological assumptions that can be questioned. Recently, however, artificial neural networks have made their way into (...) the social sciences, raising the question whether they can avoid controversial ontological assumptions. ANNs are largely distinguished from other statistical and machine learning techniques by being a representation-learning technique. That is, researchers can let the neural networks select which features of the data to use for internal representation instead of imposing their preconceptions. On this basis, I argue that neural networks can avoid ontological assumptions to a greater degree than common statistical models in the social sciences. I then go on, however, to establish that ANNs are not ontologically innocent either. The use of ANNs in the social sciences introduces ontological assumptions typically in at least two ways, via the input and via the architecture. (shrink)

Online food retail has the potential to broaden access to systems of food provision which promote social and environmental quality attributes. This possibility is explored using data from a survey of 365 consumers who purchased food either via internet retailers of local and organic food, or via farmers’ markets, in Vancouver, Canada and Melbourne, Australia. Survey results are analyzed using principal component and regression techniques and interpreted via the theoretical framework of conventions theory. Key findings show that while online (...) retailers of local organic food are not currently attracting more resource constrained consumers, they do appeal to a similar, although broader, array of quality conventions. This research provides new insights into the challenges and opportunities associated with increasing consumer access to alternative food networks, as well as adding to the small number of quantitative studies in the conventions theory literature. (shrink)

This study aimed to explore the mediating effects of internet gaming disorder, social network use, and generalized pathological internet use on the association between loneliness and depression. A total of 2211 junior high school students completed questionnaires regarding loneliness, internet gaming disorder, social network use, GPIU, and depression. The results of a structural equation model revealed that the path coefficient of loneliness to depression was significantly positive, loneliness could not predict depression through GPIU directly, but loneliness could (...) predict depression through internet gaming disorder to GPIU, loneliness could predict depression through social network use to GPIU, and loneliness could not predict depression through internet gaming disorder to social network use to GPIU. These results provided significant implications for the prevention and reduction of depression in Chinese junior high school students. (shrink)

In this paper, we examine some ethical implications of a controversial court decision in the United States involving Verizon (an Internet Service Provider or ISP) and the Recording Industry Association of America (RIAA). In particular, we analyze the impacts this decision has for personal privacy and intellectual property. We begin with a brief description of the controversies and rulings in this case. This is followed by a look at some of the challenges that peer-to-peer (P2P) systems, used to share (...) digital information, pose for our legal and moral systems. We then examine the concept of privacy to better understand how the privacy of Internet users participating in P2P file-sharing practices is threatened under certain interpretations of the Digital Millennium Copyright Act (DMCA) in the United States. In particular, we examine the implications of this act for a new form of “panoptic surveillance” that can be carried out by organizations such as the RIAA. We next consider the tension between privacy and property-right interests that emerges in the Verizon case, and we examine a model proposed by Jessica Litman for distributing information over the Internet in a way that respects both privacy and property rights. We conclude by arguing that in the Verizon case, we should presume in favor of privacy as the default position, and we defend the view that a presumption should be made in favor of sharing (rather than hoarding) digital information. We also conclude that in the Verizon case, a presumption in favor of property would have undesirable effects and would further legitimize the commodification of digital information – a recent trend that is reinforced by certain interpretations of the DMCA on the part of lawmakers and by aggressive tactics used by the RIAA. (shrink)

As demonstrated by the popularity of social networking sites such as Facebook and Twitter, Internet-based social networks have become an important part of daily life, and many businesses are now involved in such networks either as service providers or as participants. Furthermore, inter-organizational networks are becoming an increasingly common feature of many industries, not only on the Internet. However, despite the growing importance of networks for businesses, there is little theoretical study on the social responsibilities of businesses (...) in such networks, and how these responsibilities are affected by different types of networks. This article explores how social network analysis, which has been developed from studies of social networks of individuals, can be used to shed light on corporate responsibilities in social networks. (shrink)

Two long-standing arguments in cognitive science invoke the assumption that holistic inference is computationally infeasible. The first is Fodor’s skeptical argument toward computational modeling of ordinary inductive reasoning. The second advocates modular computational mechanisms of the kind posited by Cosmides, Tooby and Sperber. Based on advances in machine learning related to Bayes nets, as well as investigations into the structure of scientific and ordinary information, I maintain neither argument establishes its architectural conclusion. Similar considerations also undermine Fodor’s decades-long diagnosis of (...) artificial intelligence research as confounded by an inability to circumscribe the amount of information relevant to inferential processes. This diagnosis is particularly inapposite with respect to Bayes nets, since one of their strengths as machine learning systems has been their capacity to reason probabilistically about large data sets whose size overwhelms the capacities of individual human reasoners. A general moral follows from these criticisms: Insights into artificial and human cognitive systems are likely to be cultivated by focusing greater attention on the structure and density of connections among items of information that are available to them. (shrink)

In discussions regarding models of cognition, the very mention of “computationalism” often incites reactions against the insufficiency of the Turing machine model, its abstractness, determinism, the lack of naturalist foundations, triviality and the absence of clarity. None of those objections, however, concerns models based on natural computation or computing nature, where the model of computation is broader than symbol manipulation or conventional models of computation. Computing nature consists of physical structures that form layered computational architecture, with computation processes ranging (...) from quantum to chemical, biological/cognitive and social-level computation. It is argued that, on the lower levels of information processing in the brain, finite automata or Turing machines may still be adequate models, while, on the higher levels of whole-brain information processing, natural computing models are necessary. A layered computational architecture of the mind based on the intrinsic computing of physical systems avoids objections against early versions of computationalism in the form of abstract symbols manipulation. (shrink)

Recent studies have revealed an astonishing diversity of sex chromosomes in many vertebrate lineages, prompting questions about the mechanisms of sex chromosome turnover. While there is considerable population genetic theory about the evolutionary forces promoting sex chromosome replacement, this theory has not yet been integrated with our understanding of the molecular and developmental genetics of sex determination. Here, we review recent data to examine four questions about how the structure of gene networks influences the evolution of sex determination. We argue (...) that patterns of epistasis, arising from the structure of genetic networks, may play an important role in regulating the rates and patterns of sex chromosome replacement. (shrink)

Purpose This study aims to explore the association between internet addiction and problem behaviours on social networking sites using the general strain theory. Design/methodology/approach Using the purposive sampling method, a survey was conducted, which collected data from 414 college students studying in two public universities in South Australia. The Delphi method was used to develop the questionnaire used for the survey. Findings 'Results of this research indicated a significant association between internet addiction and problem behaviours on SNS. (...) Respondents who had engaged in problem behaviours on SNS had high internet addiction test scores. On the basis of this finding, the present research argues that the general strains associated with the suffering of newly emerging challenges such as internet addiction might contribute to victimisation and deviant and problem behaviours on SNS in specific and possibly in cyberspace in general. Research limitations/implications Results of the present study need to be interpreted cautiously due to many limitations it has. This research is a cross-sectional study, which might not adequately explain the associations between internet addiction and problem behaviours on SNS. Longitudinal studies involving larger samples might have added significant value to this study. The present study uses purposive sampling technique, which has limited its generalizability, and its findings may not be generalised to large populations. Originality/value Limited information is available pertaining to the association between problem behaviours on SNS and internet addiction. The present study is a pioneering effort, which argues that rapid popularity of SNS is likely to increase internet addiction and the frustration of not getting proper treatment for their internet addiction might lead to deviant behaviours on SNS. (shrink)

Pellet is widely used in blast furnace ironmaking. Pellet quality affects the effect of ironmaking, the existing control system of grating-rotary kiln mainly adopts manual control mode, and the quality of pellet production largely depends on the experience, fatigue, and sense of responsibility of the site operators. The use of the Internet of things technology in the integration and improvement of enterprise information level, to achieve fine, intelligent production management, at the same time, is conducive to promoting steel enterprises (...) to reduce costs and increase efficiency, energy conservation and emission reduction, transformation and upgrading, and taking a new road to industrialization. According to the working principle and technological characteristics of the grate-rotary kiln at all stages, this paper designs the management system of firing pellets based on convolutional neural network and IoT technology, so as to realize automatic recognition of image data obtained by the perceptual layer and make an intelligent analysis of it. The system can classify the working conditions of the current equipment, so as to judge whether the production process parameters of the grate-rotary kiln are up to the standard, thus achieving the goal of controlling the quality of the finished pellet. (shrink)

Celem pracy jest wskazanie na podstawowe procesy neurologiczne i biofizyczne konstytuuj ące kompleksowy model umysłu świadomego. Przedstawiono zarówno model obliczeniowy działania neuronowych pól tworzących mentalne reprezentacje rzeczywistości, jak i biologiczne koncepcje realizacji tych funkcji mózgu. Wyjaśniono motywacje ludzkiego i zwierzęcego działania. Przedstawiono koncepcje, jak powstaje świadomość oraz jak rozpoznajemy, że jesteśmy świadomi, co objaśnia także problem samoświadomości. Wskazano, że zrozumienie fenomenu świadomości usuwa antynomię teleologicznego i przyczynowego charakteru natury ludzkiej, co niweluje dualizm cielesnego i duchowego charakteru substancji tworzącej nasze umysły. (...) W części pierwszej przedstawiono ograniczenia koncepcji obliczeniowego modelu rozpoznawania poprzez porównywanie i poszukiwanie podobieństw wzorców według Perlovsky’ego oraz wskazano na sposób rozwinięcia tej koncepcji poprzez uwzględnienie morfologii i biologicznych funkcji sieci neuronowej mózgów naturalnych. Pokazano, że neuronowe pola synaptyczne o strukturze hierarchicznej impresjonów w rozumieniu hipotezy Vadakkana mogą spełniać role neuronowych pól modelujących zaangażowanych w gówne procesy psychiczne. Zauważono, że rozszerzony w ten sposób poziom analizy funkcji mózgu w dalszym ciłgu nie pozwala na wyjaśnienie fenomenu świadomości i konieczne jest przeanalizowanie podłoża biochemicznego i molekularnego tych procesów, co zostanie przedstawione w następnych częściach pracy. (shrink)