Physical Execution Research Articles

SQL2FPGA: Automated Acceleration of SQL Query Processing on Modern CPU-FPGA Platforms

Today’s big data query engines are constantly under pressure to keep up with the rapidly increasing demand for faster processing of more complex workloads. In the past few years, FPGA-based database acceleration efforts have demonstrated promising performance improvement with good energy efficiency. However, few studies target the programming and design automation support to leverage the FPGA accelerator benefits in query processing. Most of them rely on the SQL query plan generated by CPU query engines and manually map the query plan onto the FPGA accelerators, which is tedious and error-prone. Moreover, such CPU-oriented query plans do not consider the utilization of FPGA accelerators and could lose more optimization opportunities. In this article, we present SQL2FPGA, an FPGA accelerator-aware compiler to automatically map SQL queries onto the heterogeneous CPU-FPGA platforms. Our SQL2FPGA front-end takes an optimized logical plan of an SQL query from a database query engine and transforms it into a unified operator-level intermediate representation. To generate an optimized FPGA-aware physical plan, SQL2FPGA implements a set of compiler optimization passes to (1) improve operator acceleration coverage by the FPGA, (2) eliminate redundant computation during physical execution, and (3) minimize data transfer overhead between operators on the CPU and FPGA. Furthermore, it also leverages machine learning techniques to predict and identify the optimal platform, either CPU or FPGA, for the physical execution of individual query operations. Finally, SQL2FPGA generates the associated query acceleration code for heterogeneous CPU-FPGA system deployment. Compared to the widely used Apache Spark SQL framework running on the CPU, SQL2FPGA—using two AMD/Xilinx HBM-based Alveo U280 FPGA boards and Ver.2020 AMD/Xilinx FPGA overlay designs—achieves an average performance speedup of 10.1x and 13.9x across all 22 TPC-H benchmark queries in a scale factor of 1 GB (SF1) and 30 GB (SF30), respectively. While evaluated on AMD/Xilinx Alveo U50 FPGA boards, SQL2FPGA using Ver. 2022 AMD/Xilinx FPGA overlay designs also achieve an average speedup of 9.6x at SF1 scale factor.

Tao: Improving Resource Utilization while Guaranteeing SLO in Multi-tenant Relational Database-as-a-Service

It is an open challenge for cloud database service providers to guarantee tenants' service-level objectives (SLOs) and enjoy high resource utilization simultaneously. In this work, we propose a novel system Tao to overcome it. Tao consists of three key components: (i) tasklet-based DAG generator, (ii) tasklet-based DAG executor, and (iii) SLO-guaranteed scheduler. The core concept in Tao is tasklet, a coroutine-based lightweight execution unit of the physical execution plan. In particular, we first convert each SQL operator in the traditional physical execution plan into a set of fine-grained tasklets by the tasklet-based DAG generator. Then, we abstract the tasklet-based DAG execution procedure and implement the tasklet-based DAG executor using C++20 coroutines. Finally, we introduce the SLO-guaranteed scheduler for scheduling tenants' tasklets across CPU cores. This scheduler guarantees tenants' SLOs with a token bucket model and improves resource utilization with an on-demand core adjustment strategy. We build Tao on an open-sourced relational database, Hyrise, and conduct extensive experimental studies to demonstrate its superiority over existing solutions.

Combined Threshold Implementation

Physical security is an important aspect of devices for which an adversary can manipulate the physical execution environment. Recently, more and more attention has been directed towards a security model that combines the capabilities of passive and active physical attacks, i.e., an adversary that performs fault-injection and side-channel analysis at the same time. Implementing countermeasures against such a powerful adversary is not only costly but also requires the skillful combination of masking and redundancy to counteract all reciprocal effects.In this work, we propose a new methodology to generate combined-secure circuits. We show how to transform Threshold Implementation (TI)-like constructions to resist any adversary with the capability to tamper with internal gates and probe internal wires. For the resulting protection scheme, we can prove the combined security in a well-established theoretical security model.Since the transformation preserves the advantages of TI-like structures, the resulting circuits prove to be more efficient in the number of required bits of randomness (up to 100%), the latency in clock cycles (up to 40%), and even the area for pipelined designs (up to 40%) than the state of the art for an adversary restricted to manipulating a single gate and probing a single wire.

An extended cellular automation model for bicycles with group and retrograde behaviors at signalized intersections

The rise of shared bicycles has increased the demand for group riding, integrating bicycles into social groups. Additionally, retrograde riding, where cyclists travel against the designated direction, is a common behavior observed in bicycle flows. The interaction and self-organization phenomenon of group and retrograde behaviors are complex, significantly impacting traffic efficiency. This paper develops a two-dimensional Extended Moore Neighborhood and constructs state-updating rules for regular riding, group riding and retrograde riding. Each rule comprises a psychological decision layer and a physical execution layer, forming a cellular automaton model for group and retrograde bicycles. Field experiments are conducted to calibrate the model parameters and verify the behavioral characteristics. Finally, we execute numerical simulations at a signalized intersection to explore the coupling effects of group and retrograde behaviors on self-organization within the bicycle flow and the traffic capacity. The results indicate that group behavior increases queue length while reducing start wave speed and expansion degree. Retrograde behavior intensifies the negative effects on bicycle flow. These findings provide insights for managing both forward and retrograde bicycle flows.

SignEEG v1.0: Multimodal Dataset with Electroencephalography and Hand-written Signature for Biometric Systems

Handwritten signatures in biometric authentication leverage unique individual characteristics for identification, offering high specificity through dynamic and static properties. However, this modality faces significant challenges from sophisticated forgery attempts, underscoring the need for enhanced security measures in common applications. To address forgery in signature-based biometric systems, integrating a forgery-resistant modality, namely, noninvasive electroencephalography (EEG), which captures unique brain activity patterns, can significantly enhance system robustness by leveraging multimodality’s strengths. By combining EEG, a physiological modality, with handwritten signatures, a behavioral modality, our approach capitalizes on the strengths of both, significantly fortifying the robustness of biometric systems through this multimodal integration. In addition, EEG’s resistance to replication offers a high-security level, making it a robust addition to user identification and verification. This study presents a new multimodal SignEEG v1.0 dataset based on EEG and hand-drawn signatures from 70 subjects. EEG signals and hand-drawn signatures have been collected with Emotiv Insight and Wacom One sensors, respectively. The multimodal data consists of three paradigms based on mental, & motor imagery, and physical execution: i) thinking of the signature’s image, (ii) drawing the signature mentally, and (iii) drawing a signature physically. Extensive experiments have been conducted to establish a baseline with machine learning classifiers. The results demonstrate that multimodality in biometric systems significantly enhances robustness, achieving high reliability even with limited sample sizes. We release the raw, pre-processed data and easy-to-follow implementation details.

Tourist Guide Robot

Abstract: Recently, robots have entered the Tourist request. However, due to the ocean between inventors and guests, the power train for commercialising the robots has yet to be prepared. therefore, In this study, we provide a tool for u-intelligent tourist robots that allows guests to build robot contents fluently. To accomplish this, our tool has a number of functions. First, the tool is built on a gesture-based control armature for human-robot trade. Second, the programme includes geste orders for convenience. Eventually, robot content is based on marketable multimedia to compete with established tourism material. Physical execution of marketable tourist robots validates the effectiveness and usefulness of our tools.

Buddhist Approach to the Ethical Analysis of Premeditated Murder

The purpose of the research is to explicate the Buddhist principles of ethical analysis of premeditated murder as an immoral act. The author solves this problem through the method of case study of exegetical treatises of outstanding Buddhist thinkers Vasubandhu (4th-5th centuries) and Yašomitra (8th century). It is shown that the ethical analysis of premeditated murder is based on a religious anthropological concept (the Buddhist doctrine of human action producing karmic retribution). Sinful intent is interpreted as an immoral mental urge that generated a verbal intention to take the life of a certain person or a certain animal. According to the canonical point of view, there are three mental roots of immoral acts - greed, hatred, ignorance. The ethnical analysis of sinful intent is aimed at determining the connection of intent with any of these three mental phenomena. In accordance with this principle, Buddhist thinkers have identified three types of premeditated murder. All of them produce a “black” (unfavorable) karmic fruit, i.e. an unfortunate form of rebirth, exacerbating physical suffering. Great attention is paid by the author to the problem of the karmic responsibility of individuals ordering murders and the executors of such orders. In the considered sources, the verbal order to kill and its physical execution are interpreted as equally immoral actions that produce collective karmic responsibility. The author of the research examines in detail a special class of premeditated murder, fraught with inevitable infernal retribution. This class includes murders of benefactors (mother, father, arhat) and Buddhist ascetics practicing asceticism. These malicious sins were interpreted as an insurmountable obstacle to achieving a soteriological goal, even in the distant transcendental future. It is shown that Buddhist exegetes have developed principles for diagnosing these sins and characterized the immoral personal characteristics of sinners (disrespect towards parents, Buddhist preachers and religious ascetics, heretical denial of spiritual values, shamelessness, arrogance, ignorant self-will, misanthropy).

Unlocking the power of motor imagery: a comprehensive review on its application in alleviating foot pain.

Motor imagery is a cognitive process that involves mentally simulating movements without physical execution. It has been studied in the context of foot pain to understand the role of motor cortical reorganization and its impact on motor imagery abilities. However, further research is needed to establish consistent evidence regarding the relationship between motor imagery and foot pain. This review analyzed five relevant articles that investigated motor imagery in the context of foot pain. The studies involved participants with various conditions, including leg amputation, chronic leg pain, complex regional pain syndrome, and Achilles tendinopathy. Different methodologies were employed, including motor cortical mapping, foot laterality recognition tasks, EEG recordings, and treatment interventions incorporating motor imagery. The findings indicated that individuals with leg amputation exhibited functional reorganization in upper limb motor cortical maps, with a breakdown in the inhibitory relationship between foot and hand representations. Participants with chronic leg pain demonstrated slower and less accurate performance on foot laterality recognition tasks compared to healthy controls. Complex regional pain syndrome patients displayed distinct motor imagery strategies and responded differently to first-person and third-person perspectives. EEG studies revealed differences in brain activity during motor imagery tasks under pain-free and pain conditions. Treatment interventions incorporating motor imagery showed promising outcomes in improving functional outcomes and reducing pain levels. Motor imagery plays a significant role in foot pain conditions, although the evidence is still emerging. The findings suggest that motor imagery abilities may be affected by leg amputation, chronic pain, and complex regional pain syndrome. Further research is needed to establish standardized protocols for assessing motor imagery, identify specific patient populations that may benefit most from motor imagery interventions, and explore long-term effects. Integrating motor imagery into clinical practice has the potential to enhance rehabilitation approaches and improve outcomes in foot pain management.

Hybrid choreographic femininities: DanceSport, physical culture, and performative corporeality in contemporary China

ABSTRACT The integration of conventional Western styles and Chinese (physical) cultural elements has become an increasingly utilised choreographic trend in Chinese DanceSport. In major competitions and televised events, choreographers have sought to create distinctive performance-based identities and practices that at once adhere to Western stylistic and competitive conventions but also incorporate traditional Chinese physical and cultural aesthetics. In this study, we draw from Foucault’s theorisations of power and knowledge and disciplinary techniques to offer a dispositive analysis of the bodily performances of Chinese female DanceSport dancers – specifically analysing 19 prized dance pieces in two national competitions. Through the analysis of discursive, non-discursive, and material choreographic elements, we seek to examine how the bodies of Chinese female dancers interact with multiple forms of Western DanceSport and Chinese socio-cultural and political power/knowledge. We conclude that Chinese female dancing bodies are subject to the anatomical knowledge regarding the physical execution of Western technical skills as well as adhering to the norms of Western feminine aesthetics. However, our analysis illustrates how Chinese female dancers strategically utilise Western dance movements and techniques to navigate and potentially negotiate with traditional Chinese norms. Yet, these practices may still function within an anatomopolitical framework of female dancing bodies that is shaped through the promotion of Chinese national identity by the state.

Motor imagery as a potential tool to alleviate choking under pressure in sports performance

Abstract Choking under pressure is a popular issue in sports, having adverse effects on athletes’ performance. It can occur for various reasons, such as debilitative anxiety, increased fear of failure, lack of confidence, lack of preparation, and the presence of distractions. This review investigates the utility of motor imagery as an intervention for choking. Motor imagery, a cognitive process encompassing mental rehearsal of physical movements without physical execution, has been demonstrated to enhance motor skill acquisition and execution among athletes. Beyond its efficacy in enhancing motor skills, motor imagery imparts psychological advantages to athletes by reducing anxiety and bolstering confidence, both pivotal factors in averting performance breakdowns under pressure. In summary, motor imagery holds promise as an intervention for alleviating choking under pressure in sports performance. Nonetheless, further investigations are imperative to ascertain optimal approaches for integrating motor imagery into sports training and competitive settings.

Cancellation of a Certificate of Ownership Based on a District Court Decision in Tanah Datar District

The problem formulations in this research are: the reason why the plaintiff did not submit a request for annulment to the BPN, the process of canceling a land title certificate based on a district court decision in Tanah Datar Regency, the status of the sale and purchase of land objects whose certificates are not valid but have not been canceled by the BPN, This research uses normative-empirical juridical methods. The reasons why the plaintiff did not submit an application for cancellation to the BPN were due to the plaintiff's ignorance of the cancellation procedure, physical control and certificates that were still controlled by the defendant, the length of the physical execution process due to resistance and the many requirements for submitting a cancellation to the BPN. 2. The process of canceling a certificate based on a court decision in Tanah Datar District begins with a request from an interested parties and then the file will be analyzed by the Land Office and then sent to the Regional Office, where the Regional Office will issue a decree of cancellation. 3.With the transfer of land rights by a person who is not the actual owner of the transferred land, his actions have clearly violated the principles that apply to land registration activities, namely the Nemo Plus Juris Principle and also the provisions of Article 1320 of the Civil Code, namely a lawful cause. Because the point of a lawful cause is violated, the agreement made by the parties becomes null and void.

Vehicle-to-vehicle cooperative driving model considering end-to-end delay of communication network

To explore the mechanism of the end-to-end transmission delay of the communication network on the collaborative driving process for traffic flow in the vehicle-to-vehicle communication environment, based on the idea of the car-following model, this paper introduces characteristic parameters characterizing the end-to-end transmission delay of the network into Newell's following model and proposes a CD and OV model by considering the time delay characteristics of the collaborative driving process from information transmission to control decision and then to physical execution. To determine the cooperative driving system's stability criterion, the stability analysis of the new model is examined. By using the reductive perturbation approach, the spatiotemporal evolution mechanism of the traffic flow around the critical stability point under the influence of various transmission delays is analyzed. The resulting modified Korteweg-de Vries (mKdV) equations and density wave solutions are derived. The results show that the end-to-end transmission delay of the network has a significant shock effect on the stability of the vehicle-vehicle cooperative driving system, and the stability of the traffic flow and the ability to suppress traffic congestion becomes worse with the increase in the end-to-end transmission delay.

Towards a More Individualised Practice of Motor Imagery: The Additional Value of the Personality Dimension Extraversion

Motor imagery (MI) training is used to improve motor performance in both patients and athletes. The putative link between personality and MI remains however largely underexplored. In this pilot study, 72 sports students performed MI and physical execution of a finger pointing task. MI ability was assessed through the mental chronometry paradigm that captured the temporal components of imagery, as well as self-report measures of imagery vividness and imagery ease. Personality dimensions were assessed with the five-factor model. Extraversion was found to be significantly correlated with MI ability as measured with mental chronometry ( r = .37, p = .001) but not with imagery vividness ( r = −.08, p = .481) or imagery ease ( r = −.04, p = .741). The other personality dimensions were unrelated to MI ability (all p > .05). Based on these findings, we postulate that extravert individuals may have an advantage in controlling and maintaining the temporal aspect of mental movements. This may help extraverts to better benefit from imagery training.

The challenge of measuring physiological parameters during motor imagery engagement in patients after a stroke.

It is suggested that eye movement recordings could be used as an objective evaluation method of motor imagery (MI) engagement. Our investigation aimed to evaluate MI engagement in patients after stroke (PaS) compared with physical execution (PE) of a clinically relevant unilateral upper limb movement task of the patients' affected body side. In total, 21 PaS fulfilled the MI ability evaluation [Kinaesthetic and Visual Imagery Questionnaire (KVIQ-10), body rotation task (BRT), and mental chronometry task (MC)]. During the experiment, PaS moved a cup to distinct fields while wearing smart eyeglasses (SE) with electrooculography electrodes integrated into the nose pads and electrodes for conventional electrooculography (EOG). To verify MI engagement, heart rate (HR) and oxygen saturation (SpO2) were recorded, simultaneously with electroencephalography (EEG). Eye movements were recorded during MI, PE, and rest in two measurement sessions to compare the SE performance between conditions and SE's psychometric properties. MI and PE correlation of SE signals varied between r = 0.12 and r = 0.76. Validity (cross-correlation with EOG signals) was calculated for MI (r = 0.53) and PE (r = 0.57). The SE showed moderate test-retest reliability (intraclass correlation coefficient) with r = 0.51 (95% CI 0.26-0.80) for MI and with r = 0.53 (95% CI 0.29 - 0.76) for PE. Event-related desynchronization and event-related synchronization changes of EEG showed a large variability. HR and SpO2 recordings showed similar values during MI and PE. The linear mixed model to examine HR and SpO2 between conditions (MI, PE, rest) revealed a significant difference in HR between rest and MI, and between rest and PE but not for SpO2. A Pearson correlation between MI ability assessments (KVIQ, BRT, MC) and physiological parameters showed no association between MI ability and HR and SpO2. The objective assessment of MI engagement in PaS remains challenging in clinical settings. However, HR was confirmed as a reliable parameter to assess MI engagement in PaS. Eye movements measured with the SE during MI did not resemble those during PE, which is presumably due to the demanding task. A re-evaluation with task adaptation is suggested.

Excalibur

In recent years, hardware has become increasingly diverse, in terms of features as well as performance. This poses a problem for complex software in general and database systems in particular. To achieve top-notch performance, we need to exploit hardware features, but do not fully know which behave best on the current, and more-so future, machines. Specializing query execution methods for many diverse hardware platforms will significantly increase database software complexity and also poses a physical query optimization problem that cannot be solved robustly with static cost models. In this paper, we propose a new query execution architecture addressing these problems. Based on the flexible domain-specific language VOILA, it can generate thousands of different flavors from a single code-base. As an abstraction, a virtual machine (VM) allows hiding physical execution details, such that the VM can transparently switch between different execution tactics within each query, applied at a fine granularity. We show rules to describe a search space for good tactics, and describe efficient search strategies, that limit the overhead of adaptive JIT code generation and compilation. The VM starts executing each query in full vectorized code style, but adaptively replaces (parts of) query pipelines by code fragments compiled using different execution flavors, exploring this search space and exploiting the best tactics found, casting adaptive query execution into a Multi-Armed Bandit (MAB) problem. Excalibur, our prototype, outperforms open-source systems by up to 28X and the state-of-the-art system Umbra by up to 1.8X. In specific queries Excalibur performs up to 2X faster than static flavors.

A fault-tolerant and energy-efficient design of a network switch based on a quantum-based nano-communication technique

Green communications and networking present innovative designs to reduce energy usage in the information and communication technology sector. Device-to-device communication over switched networks can also be viewed as one of the research possibilities to improve energy efficiency in green communication networks. On the other hand, Quantum Dot Cellular Automata (QCA) is a new topic in nanotechnology that allows circuits to be constructed at the nanoscale to solve the restrictions of the current technologies, such as high energy usage and delay; therefore, it is very suitable for green communications. QCA opens up a whole new world of possibilities for generating fundamental gates in digital electronics with the least hardware complexity. One of the primary obstacles in employing such innovation is the overall likelihood of flaws and adequate physical execution in the QCA. This research covers the fundamentals of nanotechnology and relevant topics on fault-tolerant nano communications in green communications in this discipline. The circuit-switched network is critical for transmitting the input signal across multiple consumers throughout a dispersed communication network. The construction of a modern fault-tolerant circuit-switched network with low energy consumption centered on QCA and green communications is demonstrated in this study. The layout is made up of just one layer. This investigation offers a novel fault-tolerant crossbar switching to build this communicating network. The fault-tolerant rate of the switch against missing cell faults was researched in order to determine the best switch. The QCADesigner-E tool created and analyzed the energy dissipation and verified the simulation outcomes. The suggested switch is more fault-tolerant and greatly optimizes energy consumption, according to simulation findings.

Mapping relational links between motor imagery, action observation, action-related language, and action execution.

Actions can be physically executed, observed, imagined, or simply thought about. Unifying mental processes, such as simulation, emulation, or predictive processing, are thought to underlie different action types, whether they are mental states, as in the case of motor imagery and action observation, or involve physical execution. While overlapping brain activity is typically observed across different actions which indicates commonalities, research interest is also concerned with investigating the distinct functional components of these action types. Unfortunately, untangling subtleties associated with the neurocognitive bases of different action types is a complex endeavour due to the high dimensional nature of their neural substrate (e.g., any action process is likely to activate multiple brain regions thereby having multiple dimensions to consider when comparing across them). This has impeded progress in action-related theorising and application. The present study addresses this challenge by using the novel approach of multidimensional modeling to reduce the high-dimensional neural substrate of four action-related behaviours (motor imagery, action observation, action-related language, and action execution), find the least number of dimensions that distinguish or relate these action types, and characterise their neurocognitive relational links. Data for the model comprised brain activations for action types from whole-brain analyses reported in 53 published articles. Eighty-two dimensions (i.e., 82 brain regions) for the action types were reduced to a three-dimensional model, that mapped action types in ordination space where the greater the distance between the action types, the more dissimilar they are. A series of one-way ANOVAs and post-hoc comparisons performed on the mean coordinates for each action type in the model showed that across all action types, action execution and concurrent action observation (AO)-motor imagery (MI) were most neurocognitively similar, while action execution and AO were most dissimilar. Most action types were similar on at least one neurocognitive dimension, the exception to this being action-related language. The import of the findings are discussed in terms of future research and implications for application.

Probability-Density-Dependent Load Frequency Control of Power Systems With Random Delays and Cyber-Attacks via Circuital Implementation

This paper studies the decentralized <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> secure load frequency control issue and circuital realization of multi-area networked power systems subject to random transmission delays and deception attacks. To make full use of the stochastic feature of the network-induced transmission delay, its distribution described by the probability density function is utilized. Due to this feature, the normal control signal and the injected deceptive attack signal transmitted over the network can be formed as two distributed delay terms. Then, the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$i$ </tex-math></inline-formula> th load frequency control area is established as a new distributed delay system, in which the delay probability density is treated as the distributed kernel. By utilizing an integral inequality dependent on the kernel, new sufficient controller design conditions are derived to guarantee the system stability with given <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula> performance. Moreover, a physical execution approach is addressed to transfer the load frequency control systems into electrical analogy circuits. The effectiveness of the proposed approach is illustrated via the professional simcape toolbox in Simulink/MATLAB for circuit simulations.

Cloud-Based, Expandable—Reconfigurable Remote Laboratory for Electronic Engineering Experiments

This article describes the design and development of the NI myRIO device-based remote laboratory. The cloud-based, expandable, and reconfigurable remote laboratory is intended to give students access to an online web-based user interface to perform experiments. Multiple myRIO devices are programmed to host several experiments each. A finite state machine is used to select specific experiments, while a single state can contain several. The laboratory web virtual instruments interfaces are hosted on the SystemLink cloud and SystemLink server. A user-friendly interface has been designed to help students to understand important electronic concepts. Virtual and real experiments were fused to give students a wide range of experiments they can access online. The instructor can check outputs of an experiment being executed on the device. Achieving connection between myRIO and SystemLink through global variables and SystemLink ensured that the low-cost device was utilized, and this is suitable for third-world countries’ universities that cannot afford expensive equipment. Students can perform the experiments which have some resemblance to physical execution. The system is expandable in that the number of myRIO devices or number of experiments can be increased to suit changing requirements. The reconfigurability of the system is such that the finite state machine-based coding technique permits only one experiment to be selected, configure the system, and run while other experiments are idle.

Intelligent Computing Methods for Contextual Driving in Smart Engineering Model Systems

An engineering model system (EMS) is a complex purposeful structure of representation and description type content that is developed during development and application; in other words, it represents the lifecycle of an industrial product. The essential improvements for systems operated that are autonomous, situation controlled, and include cyber physical features of products dramatically changed requirements relative to EMS. Engineering modeling platforms (EMPs) experienced major improvements to cope with new requirements by smart products. These improvements were related to system level representation, autonomous active model features, situation level reaction to changed contexts, system and physical level virtual execution, and the support of situation-level human intervention. The lifecycle support of smart product engineering requires EMS, which behaves as a digital twin of a physically existing products and has an active connection with its contextual world, particularly with cyber units of the cyber physical system that it represents. The work in this paper aimed to develop new methods that can be implemented in EMS under developments in EMP. This is a new area of research that is motivated and at the same time enforced by moving engineering activities into highly integrated and automated complex model spaces. This paper focuses on context driving and the autonomous features of EMS as well as utilization-organized intellectual-property-powered intelligent computing relative to the definition and application of contextually connected object parameters in EMS. It introduces several latest results by the authors as a contribution for EMS to cope with the new requirements. These contributions include a new scenario called the lifecycle representation of contexts (LRC) to enhance integration in EMS, handling contexts in contextually connected autonomous unit (CCAU), organizing the intelligent content of EMS in proposed level-sublevel structure of LRC, and examining findings about situation-level cooperation between human and autonomous process.