Scenarios Of Technologies Research Articles

Beyond The Wi-Fi Era

The continual progress pace of the development of the Wi-Fi generations may not fulfill the expected tremendous data growth of future smart-home network devices and applications. Throughout this article, we show a comprehensive design of the futuristic smart-home network that distributes massive data for indoor devices while fully supporting intelligent functions. We start by drawing a vision for various application scenarios of information and communication technologies in smart-home networks beyond the 2030s. Then, we appraise the technical specifications of the candidate intelligent home network. To achieve these technological speculations, we propose a novel holistic networking solution that is efficient and intelligent from service and operation perspectives. Specifically, we detail the proposed network architecture, elements, and enabling technologies. To accelerate the research progress and implementation, we further point out the future research directions. Finally, we discuss the non-technological factors that could affect the future deployment of the proposed network solution.

A Lean Networking Framework (LeaNet): Potential Technical Space and Approaches for Latency Sensitive Mobile Services

With the development of mobile services such as the Internet of vehicles, industrial Internet, and holographic communication, ultra-low latency, ultra-high reliability, and pervasive mobility have become common indicators of the comprehensive interconnection between human-machine-things. These common indicators are the foundations to expand the application scenarios of 5G communication technologies and are also the key to achieving the 6G vision. This paper summarizes the technologies in various layers of low-latency mobile networks from a panoramic perspective and highlights the limitations of previous works in terms of mobile network architecture, virtualization technology, and service function chaining (SFC) deployment. Also, the potential techniques space from these three aspects is analyzed. Based on this, a technical framework, named lean networking (LeaNet), is proposed in this paper to reduce latency for network services through global optimization. The compact architecture eliminates triangular routing, thus significantly simplifying the network architecture and reducing both link and node latency. Meanwhile, the network functions virtualization with real-time performance provides a feasible solution to hybrid deployment of multi-scenario and diversified services, especially for latency-sensitive applications. Besides, the framework for intelligent and closed-loop SFC deployment with low latency and high resource efficiency is established and analyzed comprehensively. Simulation studies verify that LeaNet is superior in reducing latency over typical 5G core networks.

Effect of digital transformation on enterprises' green innovation: Empirical evidence from listed companies in China

Digital transformation could potentially promote enterprises' green innovation through optimizing resource allocation, innovation, and network effects. However, few empirical studies explore the mechanism of the promotion effect of digital transformation on enterprises' green innovation. In this context, this study explores this mechanism based on technological innovation effects, the learning-by-doing effect, innovation cooperation networks, and financial constraint alleviation. Based on microdata from Chinese A-share listed companies for a time period ranging from 2011 to 2020, this study adopts a multidimensional fixed effects model to conduct empirical analyses. The benchmark results suggest that digital transformation significantly promotes enterprises' green innovation. The findings remain robust after a series of robustness tests and an endogeneity test. Mechanism analysis confirms that digital transformation can facilitate enterprises' green innovation by promoting innovation effects, the learning-by-doing mechanism and spillover effects, innovation cooperation network formation, and financial constraint alleviation. Finally, we suggest that the government should implement a series of support policies, establish collaborative innovation platforms and organizations, explore the application scenarios of digital technologies in green innovation, and increase the construction of and investment in digital infrastructure to promote enterprises' green innovation.

Techno-economic assessment on hybrid energy storage systems comprising hydrogen and batteries: A case study in Belgium

This paper introduces a Techno-Economic Assessment (TEA) on present and future scenarios of different energy storage technologies comprising hydrogen and batteries: Battery Energy Storage System (BESS), Hydrogen Energy Storage System (H2ESS), and Hybrid Energy Storage System (HESS). These three configurations were assessed for different time horizons: 2019, 2022 and 2030, under both on-grid and off-grid conditions. For 2030, a sensitivity analysis under different energy scenarios was performed, covering other trends in on-grid electric consumption and prices, CO2 taxation and the evolution of hydrogen technology prices from 2019 until 2030. The selected case study is the Research Park Zellik (RPZ), a CO2-neutral sustainable Local Energy Community (LEC) in Zellik, Belgium. The software HOMER (Hybrid Optimisation Model for Electric Renewable) has been selected to design, model and optimise the defined case study. The results showed that BESS was the most competitive when the electric grid was available among the three possible storage options. Additionally, HESS was overall more competitive than H2ESS-only, regardless of the grid connection mode. Finally, as per HESS, hydrogen was proved to play a complementary role when combined with batteries, enhancing the flexibility of the microgrid and enabling deeper decarbonisation by reducing the electricity bought from the grid, increasing renewable energy production and balancing toward an island operating mode.

The Necessity and Feasibility of Hydrogen Storage for Large-Scale, Long-Term Energy Storage in the New Power System in China

In the process of building a new power system with new energy sources as the mainstay, wind power and photovoltaic energy enter the multiplication stage with randomness and uncertainty, and the foundation and support role of large-scale long-time energy storage is highlighted. Considering the advantages of hydrogen energy storage in large-scale, cross-seasonal and cross-regional aspects, the necessity, feasibility and economy of hydrogen energy participation in long-time energy storage under the new power system are discussed. Firstly, power supply and demand production simulations were carried out based on the characteristics of new energy generation in China. When the penetration of new energy sources in the new power system reaches 45%, long-term energy storage becomes an essential regulation tool. Secondly, by comparing the storage duration, storage scale and application scenarios of various energy storage technologies, it was determined that hydrogen storage is the most preferable choice to participate in large-scale and long-term energy storage. Three long-time hydrogen storage methods are screened out from numerous hydrogen storage technologies, including salt-cavern hydrogen storage, natural gas blending and solid-state hydrogen storage. Finally, by analyzing the development status and economy of the above three types of hydrogen storage technologies, and based on the geographical characteristics and resource endowment of China, it is pointed out that China will form a hydrogen storage system of “solid state hydrogen storage above ground and salt cavern storage underground” in the future.

Real-World Analysis of Smart City Integrated Services using High-Speed Network Technologies

Abstract: Services for smart cities are required to improve productivity, sustainability, and quality of life. They can maximise resource usage, enhance public safety, accelerate economic growth, and promote civic engagement. In the past, cities relied on unreliable and limited-range radio and wired telephone networks. The capabilities of networked city services have significantly increased with the development of technologies like Ethernet and passive optical network (PON). These technologies enable real-time data collecting and analysis by delivering higher data transfer speeds and greater coverage areas. PON connections offer higher bandwidth, greater reliability, and longer lifetimes; 50 Gigabit-PON has the capacity to support different commercial services with notable performance to meet service requirements; and Ethernet networks have lower deployment costs as well as greater flexibility in terms of adding or removing devices. The various use-case scenarios of high-speed network technologies are evaluated. The technology ultimately chosen will be determined by the specific requirements and objectives of the smart city project.

Knowledge digitization: Characteristics, knowledge advantage and innovation performance

The expansion of application scenarios of digital technologies in enterprises has induced new changes in knowledge management approaches. The purpose of this study is to investigate the mechanism and impact of knowledge digitization (KD) on the innovation performance (IP) of companies. The study proposes the concept of KD, which is considered to be characterized by codability, convergence and generativity. 238 Chinese furniture enterprises with digital foundation are surveyed and hypotheses are tested through structural equation modeling. The results suggest that the characteristics have a positive impact on IP. And knowledge advantage (KA) plays a mediating role between KD and IP. In addition, this finding helps to consolidate the research on digital technology and knowledge management and remedy the lack of information on the role of KD. Meanwhile, it provides the direction of improvements and references for knowledge-intensive industries to promote digital transformation, implement KD strategies, and gain competitive advantages.

STUDY ON SIMULATION BASED EVALUATION OF ROUTE AND CARGO SPECIFIC PROJECT FOR INTRODUCING DECARBONIZED SHIPS

In recent years, International Maritime Organization (IMO) adopted an initial strategy for GHG reduction from ships. Cargo owners, shipping companies, and ship owners have started to consider how to respond to the strategy. The introduction of decarbonized ships is a future direction to fulfil the IMO’s strategy. However, for each route and cargo, the situation is different, and it is necessary to consider the introduction plan of decarbonized ships that is appropriate for each. This paper proposes an evaluation method for the introduction project of decarbonized ships. The method assumes specific route and cargo, and various scenarios of decarbonization technologies, environmental regulations, fuel prices, and infrastructure deployment for alternative fuels, and evaluates costs such as OPEX, CAPEX, and amount of GHG emission based on a simulation of fleet transition aiming to the zero-emissions target time. The method provides a quantitative evaluation of the introduction project to the stakeholders and supports their decision-making. By changing the inputted parameters, sensitivity analysis to consider future uncertainty can be conducted based on the method. As a case study, we assume several types of alternative fuelled ships, and alternative fuel-ready ships, and evaluate the environmental performance and costs of introducing them to iron ore transportation between Australia and Japan. Scenarios of infrastructure deployment for alternative fuels is assumed as well, and by comparison of the cases, the usefulness of the fuels and technologies in each case is discussed.

Research on the Protection of Personal Data Rights——From the perspective of the application of privacy computing technology

With the development of marketization of data elements, privacy computing arises at the right moment in order to solve the contradiction between data circulation and its security risks. It is widely used in financial market, medical service, government management and other scenarios. It provides a new way for the identification of personal data rights, subject self-determination, safe circulation and corporate compliance, but also brings new challenges. From the perspective of the path and application scenarios of the key technologies of privacy computing technology, we can find the problems of personal data protection put forward by the current technology; privacy computing technology still has security risks in the process of data processing, and its industrial business model limits the benefits of individuals to their own data. Meanwhile, laws and regulations related to this technology also need to be refined and implemented. In order to solve these problems, it is necessary to promote the optimization of key technologies and the formulation of standards, build self-discipline rules and associations of the industry, strengthen legislation and special supervision of personal data, and build a global governance framework for the protection of personal data rights in privacy computing. It can enhance the use value of data, promote the integration of data resources and international circulation and sharing under the condition that the rights of personal data are fully protected.

Characterization of sparse WLAN data traffic in opportunistic indoor environments as a prior for coexistence scenarios of modern wireless technologies

CR enabled radio environment provides the seamless operating framework to cope with the requirements of next generation wireless systems like higher data rates, massive machine time communication and interference free coexistence scenarios of wireless technologies. Traffic characterization studies assist to optimize coexistence framework by providing necessary information about the usage patterns of wireless services in observed radio bands. Prior knowledge about the observed sparse wireless local area network (WLAN) data traffic is a key for opportunistic radio resource allocation and utilization in the given coexistence scenarios of WLAN either with cellular systems (including 5G-NR/4G Long Term Evolution (LTE)) or with low power wireless systems (including Bluetooth and ZigBee). Parametric methodology is adapted to model the sparse WLAN data traffic observed in 2.4 GHz Industrial, Scientific and Medical (ISM) band as spectral and temporal activity. The multivariate Gaussian mixture model (MGMM) is proposed in both scenarios where either dependency is considered between the observed WLAN data traffic or assuming that the observed traffic is independent and identically distributed (i.i.d). It is to be validated that in order to have an efficient characterization of sparse WLAN data traffic, the dependency (correlation) between neighbored frequency subbands must be considered. By considering the dependency either between neighbored frequency subbands or neighbored time domain signals actually help to characterize the sparse WLAN data traffic in more realistic way which could not be possible by assuming them i.i.d. Such statistics to characterize sparse data traffic really help as user activity for efficient allocation and utilization of radio resources in CR enabled coexistence scenarios of wireless technologies where WLAN acitivity is considered nominal either as secondary user or classify it grey spectrum as primary user.

Participación política de usuarios de Internet a través de memes. Anotaciones sobre el caso de Enrique Peña Nieto

Memes are units of cultural transmission. They transfer information and reproduce in a specific media, transforming during the process, spreading like a virus. However, the meme does not self-replicate: it requires subjects to retransmit it. The scenarios of new technologies and communication places the user in a fundamental place for their active modality and their capacity for appropriation, resignification and production of discourses. This paper explains the results of surveys carried out on users and consumers of political memes on political satire fanpages during the end of Enrique Pena Nieto’s six-year term, in Mexico. From these arises the conclusion that memes are an extension of political culture and the present context in all its dynamics of creation, diffusion, appropriation and reproduction.

ПРИРОДНИЧО-НАУКОВА КОМПЕТЕНТНІСТЬ ІНДИВІДА: ДИДАКТИКО-ФІЛОСОФСЬКИЙ АСПЕКТ

The article is a specifi c representation of the intellectual product [1-12] in the didactic-philosophical aspect of creation and the guaranteed consequences of its implementation in ensuring the natural-scientifi c competence of the individual. In general, the material of the publication refers to the study and solution of the problem of managing the processes of formation of the competent and ideological formation of the future specialist of the physical and technological profi le. It is known that the highest level of professional training of the teacher corresponds to the formation of his own pedagogical credo. The requirements of the modern educational paradigm orient researchers to the development, creation and justifi cation of the scientifi c concept (theory) of learning management, the methodology of educational forecast and scenarios of innovative technologies for the effective training of the future physics teacher [7]. The ideology of our project was based on the dialectical principles of optimistic folk pedagogy. The ability to guarantee the formation of the predicted author’s pedagogical credo of the future teacher is interpreted as a natural consequence of the creation and implementation of conceptual frameworks for managing the learning of the individual. Becoming a future teacher of physics-technological profi le is a simultaneous acquisition of certain measures of knowledge in specifi c educational disciplines (physics, technical creativity, safety of life, mechanical engineering, technical mechanics, labour protection in the industry, motor tractor, technological education, etc.) and teaching methods. For the fi rst time in the national and world subject didactics, the possibility of introducing binary targeting technology (specifi c discipline + teaching methodology) as a means of forming a holistic pedagogical credo of a future specialist is illustrated. Key words: physics, natural literacy, didactics of physics, educational forecast, fi ctitiousness of consciousness of the individual, binaries of the target program, control, management of learning, competence, outlook, pedagogical credo

Big and Deep Hype and Hope: On the Special Issue for Deep Learning and Big Data in Healthcare

Deep Learning networks are revolutionizing both the academic and the industrial scenarios of information and communication technologies...

Comparative LCA study of different methods of the feed phosphates (FPs) production

Abstract The paper presents an application of the Life Cycle Assessment (LCA) method to compare the environmental impacts of the various methods of the feed phosphates (FPs) production. The three Scenarios of the FPs production technologies were compared - modified thermal method (one installation) and low-temperature endothermic methods (two different installations). A functional unit of the system was defined as 1 Mg of P2O5 contained in the obtained each feed phosphates – defluorinated phosphate (DFP) and dicalcium phosphate (DCP). The overall results show that the production process of FPs affects the environment primarily through the use of the phosphorous raw materials and electricity consumption. Production of FPs causes the highest values in the impact category freshwater eco-toxicity. The comparative LCA analysis showed that the highest impact on the environment was associated with the use of the low-temperature method on the modified the DFP installation. The DFP production with the use of the modified thermal method showed 52% lower impact and the DCP production with the use of the low-temperature endothermic method on the new installation was associated with 6% lower impact. From the environmental point of view, the recommended solution is the basic DFP technology. Development of new or modification of existing FPs production methods with the better environmental performance could be considered as the clean technologies.

Employment impact assessment of carbon capture and storage (CCS) in China's power sector based on input-output model.

Carbon capture and storage (CCS) could be an effective measurement for carbon emission reduction in China. This paper summarizes the development of power sector in 2020, 2030, and 2050, and it classifies 18 scenarios including with and without CCS, respectively, in G1:low, G2:middle, and G3:high in 2020, 2030, and 2050. It adopts China's input-output table (IO table) and analyzes the different mitigation strategies for power sector. In particular, this paper builds a new China's input-output table based on aggregating the sectors in IO table and disaggregating the power sector into 11 different technologies which are coal-fire power, coal-fire power with CCS, natural gas power, natural gas power with CCS, hydropower, nuclear power, wind power, solar power, biomass power, geothermal power, and ocean power. Through input-output model, this paper estimates gross value added (GVA) and employment effects of different scenarios of different technologies in power sector in China. It finds that the differences of GVA and employment effects among different scenarios are large. In CCS scenarios, the coal-fire power with CCS contribute 1.48-1.63 × 1010 RMB in 2020, 1.09-1.55 × 1010 RMB in 2030, and 0.85-1.20 × 1010 RMB in 2050 for gross value added. Meanwhile, the employments of coal-fire power with CCS can add the jobs of 11,966-17,159 in 2020; 10,419-16,228 in 2030; and 8977-12,571 in 2050. CCS sector contributes the higher employment than in the renewable power sectors. Meanwhile, coal mining industry, equipment manufacturing industry, and metallic industry take main contribution to the employment of CCS sector.

An Optimal TGO Topology Method for a Scalable and Survivable Network in IOT Communication Technology

In the year 2015 per person is having 3.47 devices that will be around 25 billion devices, In future years 2020 expected devices per person are 6.58 which is around 50 billion devices. From this statistic, we clearly identified a major problem for IoT devices is scalability and survivability. As the number of devices increases, which is nothing but scalability increases, the quality of service (QoS) will be decreased. To increase the QoS we have to design a novel architecture. To address these problems we come up with a trimet graph optimization (TGO) topology. Topology plays an important role in modern wireless technologies like WSN, Ad hoc networks, cyber-physical system and IOT. We have basic topologies like a bus, ring, star, mesh, tree, etc., which are not fulfilling all the requirements of the modern engineering problems. In this paper, we are making a new attempt to bridge the gap between existing topologies and network design problems. We are testing a novel TGO topology which is used to design a survival, simple, cost-effective topology for Wireless sensor networks and IoT. TGO topology was simulated extensively on various scenarios of wireless technologies using Contiki OS and Cooja simulator. Finally, results are compared with the existing topologies.

Path Planning Technologies for Autonomous Underwater Vehicles-A Review

An autonomous underwater vehicle (AUV) is an economical and safe tool that is well-suited for search, investigation, identification, and salvage operations on the sea floor. Path planning technology, which primarily includes modeling methods and path search algorithms, is an important technology for AUVs. In recent years, the AUV path planning technology has rapidly developed. Compared with land robots, AUVs must endure complex underwater environments and consider various factors, such as currents, water pressure, and topography. Challenges exist in terms of online obstacle avoidance, three-dimensional environment path planning, and the robustness of the algorithms. Adapting a complex environment and finding a suitable path planning method comprise the main problem that must be solved. In this paper, we summarize the principles, advantages, and disadvantages of modeling and path search technologies for AUVs. The most prominent feature of this paper is to summarize the improvement methods of various technical shortcomings and improve the original methods, such as dynamic obstacle avoidance, optimization path, coverage, and processing speed. In addition to summarizing the characteristics of each algorithm, this paper intuitively demonstrates the experimental environment, the real-time nature, the path planning range of the AUV, and so on. We also discuss the application scenarios of various modeling and path search technologies for AUVs. In addition, we discuss the challenges of AUVs and the direction of future research.

Methodology for Simulating 5G and GNSS High-Accuracy Positioning.

This paper focuses on the exploitation of fifth generation (5G) centimetre-wave (cmWave) and millimetre-wave (mmWave) transmissions for high-accuracy positioning, in order to complement the availability of Global Navigation Satellite Systems (GNSS) in harsh environments, such as urban canyons. Our goal is to present a representative methodology to simulate and assess their hybrid positioning capabilities over outdoor urban, suburban and rural scenarios. A novel scenario definition is proposed to integrate the network density of 5G deployments with the visibility masks of GNSS satellites, which helps to generate correlated scenarios of both technologies. Then, a generic and representative modeling of the 5G and GNSS observables is presented for snapshot positioning, which is suitable for standard protocols. The simulations results indicate that GNSS drives the achievable accuracy of its hybridisation with 5G cmWave, because non-line-of-sight (NLoS) conditions can limit the cmWave localization accuracy to around 20 m. The 5G performance is significantly improved with the use of mmWave positioning with dominant line-of-sight (LoS) conditions, which can even achieve sub-meter localization with one or more base stations. Therefore, these results show that NLoS conditions need to be weighted in 5G localization, in order to complement and outperform GNSS positioning over urban environments.

Research of the self-healing technologies in the optical communication network of distribution automation

Optical communication network is the mainstream technique of the communication networks for distribution automation, and self-healing technologies can improve the in reliability of the optical communication networks significantly. This paper discussed the technical characteristics and application scenarios of several network self-healing technologies in the access layer, the backbone layer and the core layer of the optical communication networks for distribution automation. On the base of the contrastive analysis, this paper gives an application suggestion of these self-healing technologies.

Measuring the Regional Availability of Forest Biomass for Biofuels and the Potential of GHG Reduction

Forest biomass is an important resource for producing bioenergy and reducing greenhouse gas (GHG) emissions. The State of Michigan in the United States (U.S.) is one region recognized for its high potential of supplying forest biomass; however, the long-term availability of timber harvests and the associated harvest residues from this area has not been fully explored. In this study time trend analyses was employed for long term timber assessment and developed mathematical models for harvest residue estimation, as well as the implications of use for ethanol. The GHG savings potential of ethanol over gasoline was also modeled. The methods were applied in Michigan under scenarios of different harvest solutions, harvest types, transportation distances, conversion technologies, and higher heating values over a 50-year period. Our results indicate that the study region has the potential to supply 0.75–1.4 Megatonnes (Mt) dry timber annually and less than 0.05 Mt of dry residue produced from these harvests. This amount of forest biomass could generate 0.15–1.01 Mt of ethanol, which contains 0.68–17.32 GJ of energy. The substitution of ethanol for gasoline as transportation fuel has potential to reduce emissions by 0.043–1.09 Mt CO2eq annually. The developed method is generalizable in other similar regions of different countries for bioenergy related analyses.