Virtual Integration Research Articles

Smart Manufacturing Application in 3D FinFETs: New Approach for Performance-Yield Co-Optimization Based on Virtual Process Integration.

Currently, the semiconductor manufacturing industry is seeing rapid movement from 2D planar to 3D FinFET technology. Among SCE-enhanced scaled fin structures, depending on stress engineering to increase mobility, merged elevated source-drain (eSD) epi structures are widely used because they can maximize device performance by reducing Rsd. While there is active research on device and epi own defects related to eSD process, there is no study on yield effect. Smart manufacturing (SM) applications, which form the core of Industry 4.0, are difficult to find in bulk-FinFETs, and it is difficult to find hidden systematic defects of complex three-dimensional structures using limited analyses such as in-line monitoring and abnormal trend detection. In this study, we investigate the root-cause of gate to eSD short, which is the primary FinFET yield detractor, and we obtain an optimized solution to improve yield by 25.2% without performance degradation. These improvements are accomplished using our in-house SM platform that consists of four components: a virtual integration (VI) module for defining defects such as physical connection, void, and not open; a hot spot module for identifying the location of needed process control; an advanced analytics module including algorithms for selecting key features and predicting the fail bit; and an optimizer module that can co-optimize yield and performance.

Application of Model-Based System Engineering Method in Civil Aircraft Communication System Design

Model-based system engineering theory is a new breakthrough in aircraft development methodology, which can solve the problems of aviation system development, high integration, difficult management and high risks. This paper introduces the basic theory of MBSE, and applies MBSE method in the design of communication system to realize audio communication function. Starting from the needs of stakeholders, perform analysis and define system use cases. According to different scenarios, define the function requirements activity flow and determine the functional model. Then map the functional architecture to the physical layer, carry out scheme trade-off analysis, architecture design and generate physical architecture diagram to ensure that the final solution meets the needs of stakeholders. Through model evolution and iteration, product design is realized. Modeling can provide all parties with a universal and unambiguous design information exchange platform, and at the same time facilitate the realization of system virtual integration and improve the existing design process.

Supply Chain Management Open Innovation: Virtual Integration in the Network Logistics System

The customer-oriented approach is actively developing within the global trend of the modern industrial revolution that is Industry 4.0. The focus on customer interests has led to cooperation and integration in supply chains, improving their efficiency and increasing transparency, awareness, and trust. However, an issue emerging in this scenario is that conventional supply chain management (SCM) procedures are unable to identify the potential proposal for a particular user. Modern businesses need to build integrated supply chains, which require well-developed infrastructure and easily available complementary services, relying on logistics as a networking technology. Supply chains of this generation grow from traditional individual desynchronized economic relations (linear models with some feedback and the simplest network configurations) to scalable, adaptable, harmonized partner networks. The logistics potential allows additional income by reducing the total costs of participants in the network, thus increasing the competitiveness of companies; this can be implemented based on new models of interaction in the current digital environment through, firstly, system integration. Our goal consists of identifying the essential characteristics of system integration and substantiating the methods for its implementation in the digital economy. The study is based on the analysis of global best practices, considering the reports from leading consulting companies and competent analytical agencies. We have confirmed that the role of a virtual system integrator of supply chains belongs to logistics platforms; the effects of a transition to platform business models are discussed in detail.

Research on practical teaching of virtual reality integration of Engineering Management major from the perspective of New Engineering

Starting from the practical significance of "New Engineering" to the practical teaching reform of engineering management specialty, this paper analyzes the current situation of practical teaching of engineering management specialty, expounds the construction ideas of practical teaching system of virtual and real integration of engineering management specialty from the perspective of new engineering, and puts forward the integration of practical teaching content, construction of virtual and real integration practice teaching platform and diversified evaluation system, so as to improve young teachers Engineering practice ability and other safeguard measures. Practice shows that practice teaching is the main channel to cultivate engineering practice ability and core competitiveness of engineering management students.

Virtual engineering in the support of sustainable assembly systems

Virtual Engineering (VE) has always been a great aid in the design phase of manufacturing systems in terms of structural system description, behaviour simulation and interfacing between the different subsystems. To this end, virtual engineering capabilities have a strong potential to be employed in manufacturing system sustainability at different phases of the system life cycle beyond the design phase. In response to the sustainable manufacturing requirements (namely 6R), this paper discusses the opportunities VE provides to support sustainable manufacturing over the life cycle phases considering the latest industrial developments in manufacturing i.e. Industry 4.0 and smart manufacturing. A framework of virtual engineering tools integration with 6R is introduced, then a discussion of the expected contributions follows. To demonstrate the applicability of the previously mentioned concepts, a case study of an on-going industrial project is exemplified with its results discussion.

Evaluation of Data Integration Plans based on Graph Data

In data management, new data storage models and technologies are gradually adopted, including graph-based data models that have been enabled by technologies such as RDF, GraphQL and LPG. These are particularly fit when dealing with the coexistence of multitude and heterogeneous data sources that require an integration architecture in a data-centric organization due to intrinsic data connectedness. Two prominent approaches are distinguished in our study: (1) embracing a unifying graph format, where, following a series of transformations, all data sources are lifted to a common format in a consolidated graph repository, (2) creating a mediator tier where legacy data sources hold their data but are accessed through a virtual graph integration layer. Each approach comes with a specific way to query data and a plethora of query languages were created for this purpose. In the context of a data integration project we investigated two approaches to data retrieval and data modeling that have gained momentum during recent years: RDF graphs holding data lifted from non-graph data sources and GraphQL acting as a proxy for retrieving virtually connected data from heterogeneous sources. The paper reports on comparative experiments with technological instantiations of the two approaches, which can inform further IT strategies in an institutional project advocating a migration from app-centricity towards data connectedness.

Exploring the Oxidative Stress Mechanism of Buyang Huanwu Decoction in Intervention of Vascular Dementia Based on Systems Biology Strategy.

Objective To explore the oxidative stress mechanism of modified Buyang Huanwu decoction (MBHD) in intervention of vascular dementia (VD) based on systems biology strategy. Methods In this study, through the reverse virtual target prediction technology and transcriptomics integration strategy, the active ingredients and potential targets of MBHD treatment of VD were analyzed, and the drug-disease protein-protein interaction (PPI) network was constructed. Then, bioinformatics analysis methods are used for Gene Ontology (GO) enrichment analysis and pathway enrichment analysis, and finally find the core biological process. After that, in animal models, low-throughput technology is used to detect gene expression and protein expression of key molecular targets in oxidative stress-mediated inflammation and apoptosis signaling pathways to verify the mechanism of MBHD treatment of VD rats. Finally, the potential interaction relationship between MBHD and VD-related molecules is further explored through molecular docking technology. Results There are a total of 54 MBHD components, 252 potential targets, and 360 VD genes. The results of GO enrichment analysis and pathway enrichment analysis showed that MBHD may regulate neuronal apoptosis, nitric oxide synthesis and metabolism, platelet activation, NF-κB signaling pathway-mediated inflammation, oxidative stress, angiogenesis, etc. Among them, SIRT1, NF-κB, BAX, BCL-2, CASP3, and APP may be important targets for MBHD to treat VD. Low-throughput technology (qRT-PCR/WB/immunohistochemical technology) detects oxidative stress-mediated inflammation and apoptosis-related signaling pathway molecules. The molecular docking results showed that 64474-51-7, cycloartenol, ferulic acid, formononetin, kaempferol, liquiritigenin, senkyunone, wallichilide, xanthinin, and other molecules can directly interact with NF-κB p65, BAX, BCL-2, and CASP3. Conclusion The active compounds of MBHD interact with multiple targets and multiple pathways in a synergistic manner, and have important therapeutic effects on VD mainly by balancing oxidative stress/anti-inflammatory and antiapoptotic, enhancing metabolism, and enhancing the immune system.

A Virtual Machine Placement Strategy Based on Virtual Machine Selection and Integration

A Virtual Machine Placement Strategy Based on Virtual Machine Selection and Integration

ORVIPO: An Ontological Prototype for Modeling 3D Scenes in Operating Rooms

Virtual Operating room characterizes a large artificial environment of interaction in the medical context. It enables a better simulation for different surgical scenarios through 3D (three‐dimensional) objects. Virtual Reality (VR) uses computer technology to develop these virtual simulated applications. It brings valuable innovations in different fields. It is integrated also to enhance healthcare and therapies. To improve and assist on medical VR applications, ontologies would be useful. They can unify the content of these applications and facilitate their implementation via semantic rules. Also, ontologies can be applied to realize an effective VR knowledge modeling. This paper presents a virtual simulation of an operating room taking advantage of the semantic representation. The goal of this study is to propose a novel ontological VR system that models an operating room and its components. The execution of the proposed method was proved by the developed ontology OROnto (Operating Room Ontology). This ontology was useful for modeling hospital scenarios and the construction of a valuable VR system. To demonstrate the proposed approach feasibility and performance, we have implemented the Operating Room Virtual Integration Process Using Ontology (ORVIPO) prototype. Compared to different other ontological methods and related works, our approach have shown interesting findings such as recall (71%), precision (83%), and F-measure (76%).

Construction of E-government Data Sharing Framework Based on Big Data Technology

With the continuous development of Internet technology, more and more fields are beginning to use Internet technology to improve their business construction. Moreover, in terms of e-government construction, introducing the Internet technology into e-government work at all levels is also an important content, and the Party Central Committee has proposed a series of major decisions such as network power and “Internet +” to accelerate the process of e-government informatization. Meanwhile, big data virtualization technology and access control technology are used to break through e-government data sharing barriers to realize virtual integration and trusted sharing across e-government data and support multi-departmental, crosslevel, and cross-network data security interactive processing for e-government business collaboration. Besides, the multi-source circulation and on-demand access of cross-departmental e-government data are realized to break data barriers, form data transmission links, and create a model for exchanging and sharing e-government data. Through the exchange and sharing of e-government data, the barrier-free flow of information can be achieved and the efficiency of e-government business handling can be improved as well.

The Effect of Perioral Scan and Artificial Skin Markers on the Accuracy of Virtual Dentofacial Integration: Stereophotogrammetry Versus Smartphone Three-Dimensional Face-Scanning.

This study evaluated the effects of different matching methods on the accuracy of dentofacial integration in stereophotogrammetry and smartphone face-scanning systems. The integration was done (N = 30) with different matching areas (n = 10), including teeth image only (TO), perioral area without markers (PN) and with markers (PM). The positional accuracy of the integrated models was assessed by measuring the midline linear deviations and incisal line canting between the experimental groups and laser scanner-based reference standards. Kruskal–Wallis and Mann–Whitney U tests were used for statistical analyses (α = 0.05). The PM method exhibited the smallest linear deviations in both systems; while the highest deviations were found in the TO in stereophotogrammetry; and in PN in smartphone. For the incisal line canting; the canting degree was the lowest in the PM method; followed by that in the TO and the PN in both systems. Although stereophotogrammetry generally exhibited higher accuracy than the smartphone; the two systems demonstrated no significant difference when the perioral areas were used for matching. The use of perioral scans with markers enables accurate dentofacial image integration; however; cautions should be given on the accuracy of the perioral image obtained without the use of markers.

A Path Growing Approach to Optical Virtual Network Embedding in SLICE Networks

Network virtualization (NV) is considered to be a promising solution to address the ossification of the current Internet infrastructure. With the recent advancements in optical virtualization, network virtualization can be further extended to virtualization-enabled optical substrate networks that supply connectivity-as-a-service. This integration of NV and optical virtualization is referred to as optical-based network virtualization in this work, which warrants a future-proof Internet that is not only technology-friendly (i.e, due to the service and hardware decoupling in NV) but also bandwidth-abundant (i.e., with optical networking). In optical-based network virtualization, it remains to resolve the classic virtual network embedding (VNE) problem (i.e., a NP-Complete problem) with the extra dimension of complexity from physical characteristics of the specific type of optical network (e.g., WDM or SLICE). In this work, we study this variant of the VNE problem, namely Optical Virtual Network Embedding (OVNE), in SLICE-based network virtualization. We avoid addressing the OVNE problem with simple add-on constraints to VNE but address it with two strategies: first, exploring the OVNE problem structure at different granular of network elements (e.g., path-channel and channel graph) to mitigate the complexity; second, designing a path growing process that solves the OVNE model with substantially reduced variables. The proposed approach is evaluated and compared to other representative path-based schemes with demonstrated improvements. The proposed approach can also obtain near-optimal solution to the OVNE problem with guaranteed closeness to the optimal solution.

Heuristic Resource Allocation Algorithm for Controller Placement in Multi-Control 5G Based on SDN/NFV Architecture

The integration of Software Defined Networking (SDN) and Network Function Virtualization (NFV) is considered to be an efficient solution that enables the forecasting of highly scalable, optimal performance of 5G networks by providing an effective means of network functionality. The distributed multi-controller architecture approach is an emerging strategy that primarily aims to support network functions performed through the application of a control plane, to provide versatile network traffic management. However, the management of resource allocations across multiple data centers is an important issue that still affects 5G core networks. Using such a strategy in 5G core networks requires the controllers to be correctly located, in order to improve network reliability and cost-effectiveness. Thus, to address the controller placement problem (CPP) in a distributed 5G network, we proposed an efficient, heuristic multi-objective optimization approach, using dynamic capacitated controller placement problem (DCCPP). It is based on the K -center problem, to solve the capacitated controller placement problem (CCPP), which acts as a resource location problem, in which the location and number of controllers can be allocated to maximize resources. A Greedy Randomized Search (GRS) algorithm was used to solve the dynamic assignment of nodes to controllers to achieve load balancing. The design of the heuristic method provides proper load balancing, efficient cost management, and network resource management, as compared to the basic CCPP model. The results indicate that the allocation and the optimum number of controllers under an effective decentralized policy could achieve a higher degree of efficiency through resource assignment in such a densified network.

Considerations for the Effective Integration of Virtual Simulation in the Undergraduate Nursing Curriculum.

Nursing education employs a cadre of strategies to address faculty shortages, increased student admissions, and the decreased availability of clinical sites. Virtual simulation provides an innovative way to provide a robust learning experience that can be used in conjunction with or in lieu of some portion of clinical experiences. The authors highlight how virtual simulation can be used and outline considerations for educators considering virtual simulation integration.

Knowledge hypergraph-based approach for data integration and querying: Application to Earth Observation

According to the world economic forum report, around 70% of generated data are not used. This limitation of usage is mainly due to the lack of interoperability and linking of data that resides in isolated silos. Indeed, the overwhelming amount of data has worsened heterogeneity problems, as have the types of sources generating data in heterogeneous formats and different semantics. Those data related problematics are frequent in the domain of Earth Observation (EO). Earth observed data use different terminologies, which are difficult to reconcile because they reflect overlapped disciplines. These issues lead to misunderstandings and inefficient exchange and management of data in terms of access, pricing, and data rights, which can hamper environmental phenomena understanding. Virtual Knowledge Graph (VKG), allows semantic integration of existing data sources into a wide Knowledge Graph. In this work we propose a knowledge hypergraph-based approach for data integration and querying, with an application to Earth Observation data. Our proposal takes place in two phases (1) a knowledge hypergraph-based virtual data integration and (2) a hypergraph-based query processing. The first phase allows to generate a virtual knowledge hypergraph consisting of RML mappings between an ontology and the data. The second phase consists of enhancing the user’s query by extracting and consolidating a global view of data from different sources based on the generated knowledge hypergraph. The proposed approach is implemented in the Onto-KIT tool (Ontology-based Knowledge hypergraph data Integration and querying Tool) and evaluated through real use case studies. The obtained results show that our proposal enhances query processing in terms of accuracy, completeness, and semantic richness of response.

A Post-Anthropocentric Explication of the Posthuman World-Building in Adrian Tchaikovsky’s the Doors of Eden

ABSTRACT The present study seeks to analyze Adrian Tchaikovsky’s novel The Doors of Eden (2020) to describe how posthumanism and post-anthropocentrism can go hand-in-hand in contemporary speculative fiction. The novel itself is a masterpiece in world-building where the action takes place against the background of an eternally proliferating multiversal reality. Parallel worlds, sentient monsters, posthuman, non-human entities abound in the novel, and this will be seen as complementary and conducive to the posthuman universe-building in the narrative. Through the analysis of the novel The Doors of Eden, I have attempted to show how posthumanism can effectively dismantle and destroy a human-centered worldview by incorporating tropes of monstrosity, alienness, immersive virtual reality, mind-uploading, and integration of mind and machine – all of which eventually come together to define and reinforce the post-anthropomorphic paradigm. For the purpose of the explication, the author has adopted various theoretical insights from the renowned contemporary theoreticians among which Rosi Braidotti’s criticalposthumanism, Barad’s intra-action and agential realism, and Bruno Latour’s Actor-Network Theory (ANT) and, Lenton & Latour’s Gaia 2.0 hypothesis will be important.

Pengaruh Integrasi Laboratorium Virtual dalam Model Pembelajaran Problem Solving Terhadap Kemampuan Berpikir Kritis Peserta Didik pada Materi Elektrolit dan Non elektrolit

The purpose of this study was to determine the positive effect of virtual laboratory integration in Problem Solving learning models on students' critical thinking skills in the electrolyte and non-electrolyte solution materials. This research was conducted in December 2018 - May 2019. The quantitative research method used was a quasi-experiment with Posttest Only Control Group Design. This research consisted of experimental class and control class, with 36 students in each class. The experimental class applies virtual laboratory integration learning in the Problem Solving learning model, while the control class applies 5M learning. The results showed that the average posttest value of the experimental class was 72.8 and the control class was 63.7. The results of the testing of the hypothesis were obtained by the value of t count (4.942)> t table (1,667) with a value with a significant level of 0.05, indicating that the positive influence of virtual laboratory integration in the Problem Solving learning model on students' critical thinking abilities in electrolyte solution material and nonelectrolytes.
 KeywordsVirtual Laboratory, Problem Solving, Critical Thinking Ability, Electrolyte and nonelectrolyte

Digital customization of consumer investments in multiple funds: virtual integration improves risk\u2013return decisions

Digital technology in financial services is helping consumers gain wider access to investment funds, acquire these funds at lower costs, and customize their own investments. However, direct digital access also creates new challenges because consumers may make suboptimal investment decisions. We address the challenge that consumers often face complex investment decisions involving multiple funds. Normative optimal asset allocation theory prescribes that investors should simultaneously optimize risk–returns over their entire portfolio. We propose two behavioral effects (mental separation and correlation neglect) that prevent consumers from doing so and a new choice architecture of virtually integrating investment funds that can help overcome these effects. Results from three experiments, using general population samples, provide support for the predicted behavioral effects and the beneficial impact of virtual integration. We find that consumers’ behavioral biases are not overcome by financial literacy, which further underlines the marketing relevance of this research.

Memory-aware resource management algorithm for low-energy cloud data centers

The continuous advancement of cloud computing technology has driven the vigorous development of cloud data centers. This manifests itself not only in increasing numbers, but also in rapid expansion scale. At the same time, the problems of high energy consumption, high cost and high carbon emissions began to stand out. These factors have become a bottleneck restricting the further development of cloud computing technology. As a result of the application of virtualization technology, mature cloud service providers use virtual machines instead of physical machines to provide users with computing, storage and other services. Therefore, the scheduling algorithm of cloud tasks and virtual machines has been widely studied by academia as a core problem. However, most of the current cloud data center resource management algorithms take CPU utilization as the main consideration, and increase the CPU utilization through virtual machine integration to reduce the energy consumption of cloud data centers. However, these algorithms will cause waste and low utilization of other resources in the cloud data center due to excessive consideration of CPU utilization. This paper systematically analyzes the mapping relationship between cloud tasks, virtual machines and physical machines. At the same time, the performance of cloud tasks, virtual machines, and physical machines is modeled in the cloud data center. By comprehensively considering the CPU and memory characteristics of cloud tasks, the memory priority cloud task mapping rule is established. Based on the rule, the memory-aware resource management algorithm for low-energy cloud data centers (MALE) is proposed. The algorithm maps cloud tasks and deploys virtual machines according to the memory requirements of the cloud tasks, thereby achieving the goal of simultaneously reducing the total fee of cloud users and the energy consumption of cloud data centers. Finally, the algorithm is compared with the other three algorithms. The experimental simulation results show that the effect of the proposed algorithm in this paper is significantly better than the comparison algorithm for the total fee of cloud users and the energy consumption of the cloud data center.

Virtual Territorial Integrity: The Next International Norm

Such a norm could prohibit cyber attacks on physical infrastructure, interference in electoral processes and divisive informational campaigns.