A document by Petro Tshakwanda . Click on the document to view its contents.

A Hertzian dipole is a small antenna that emits radio waves. In this article, the interaction of a Hertzian dipole with the field reflected from the environment is analyzed. The study shows that a single Hertzian dipole can behave like a quantum object: in particular, it can interfere with itself at a double slit, owing to a ponderomotive force. Therefore, it cannot reach every location behind a double slit with the same probability, and the probability distribution for the location of an impact on a screen behind the double slit may show a clear interference pattern. This effect disappears if one of the slits is closed, or if the system of the Hertzian dipole, double slit and standing wave is disturbed by external influences. Both particle interference and the collapse of the wave function are considered to be effects that cannot be explained by classical physics. However, Hertzian dipoles can be tangible objects moving on classical trajectories, and their location and velocity can be measured simultaneously at any time. Thus, the Hertzian dipole provides an example of how central features of quantum mechanics can be explained by means of classical physics.

In the last two decades, muscle synergies analysis has been commonly used to assess the neurophysiological  mechanisms underlying human motor control. Despite several synergy models and algorithms have been  employed for processing the electromyographic (EMG) signal, and neural substrates indicate their non?homogeneous origin, EMG patterns are usually preprocessed without separating phasic (movement-related) and tonic (anti-gravity and related to co-contraction) components. Using a comprehensive mapping of upper?limb point-to-point movements, synergies were extracted from phasic and tonic EMG signal separately, estimating the tonic components with a linear ramp model. The goodness of reconstruction (R2 ) as a function  of the number of synergies was compared, and synergies extracted from each dataset at three threshold levels (0.80, 0.85, 0.90) were retained for further analysis. Then, shared, phasic-specific, and tonic-specific synergies  were extracted from the two datasets concatenated. We found only few shared synergies, indicating that phasic  and tonic synergies have in general different structures. Shared, phasic-specific and tonic-specific synergies  were clustered separately and compared for evaluating differences in synergy composition. Phasic-specific  clusters were more numerous than tonic-specific ones and with a higher sparseness, suggesting that they were  more differentiated among subjects. The structure of the clusters indicated that phasic synergies identify  specific patterns related to the movement (sparse composition) while tonic synergies show co-contraction of  multiple muscles for joint stabilization and holding postures. These results suggest that phasic and tonic  synergies should be extracted separately, especially when performing muscle synergy analysis in patients with  abnormal tonic activity and for tuning devices with gravity support

The conventional computing platforms based on von-Neumann architecture are highly space- and energy-intensive while handling the emerging applications such as AI, ML, and big data. To overcome the von Neumann bottleneck, compact and light-weight logic-inmemory implementations of Boolean logic gates based on emerging non-volatile memory (e-NVM) such as RRAMs, PCM, STT-MRAMs, etc., were proposed recently. However, these e-NVMs not only exhibit significant temporal and spatial variability, but their large-scale integration with CMOS process is also a technological challenge. To overcome these issues with the emerging non-volatile memories, Ferroelectric FETs based on CMOS-compatible doped Hafnium oxide with the capability of large-scale CMOS integration in the advanced logic nodes were proposed. Considering the high scalability and CMOS-compatibility of the FeFETs, in this work, for the first time, we propose a logic-inmemory implementation utilizing a single ferroelectric fullydepleted-silicon-on-insulator (Fe-FDSOI) FET exploiting the unique drain erase phenomenon. In our proposed logicin-memory implementation, inputs are applied at the gate and drain terminals using a novel input-to-voltage mapping scheme, and output is obtained as the current flowing through the Fe-FDSOI FET. We utilize an experimentally calibrated compact model of the ferroelectric capacitor connected to the baseline industry standard BSIM-IMG compact model for the FDSOI transistor for proof of concept demonstration. We also perform a comprehensive analysis of the performance metrics of the proposed logic-inmemory implementation. Our results indicate that we can realize at least 10 Boolean logic gates with high energy and area-efficiency utilizing the proposed scheme.

This survey is on forward-looking, emerging security concerns in post-quantum era, i.e., the implementation attacks for 2022 winners of NIST post-quantum cryptography (PQC) competition and thus the visions, insights, and discussions can be used as a step forward towards scrutinizing the new standards for applications ranging from Metaverse/Web 3.0 to deeply-embedded systems.

Paper that propose a new radio propagation modeling technic using graph neural network.Â

Users often purchase membership credentials with a fixed number of uses or limited duration from Internet service providers, we call them pay-per-use or time span of membership services. However, users’ access records, usage preferences, and habits are collected by network attackers or membership providers for creating users’ profiles, targeted advertising, and even for being sold maliciously. To deal with these problems, lots of anonymous authentication protocols are proposed to provide users with pseudonyms to conceal their real identities. Although these protocols effectively prevent network attackers from compromising users’ privacy, membership service providers can still gather users’ behavioral privacy via their member- ship credentials. Therefore, several scholars proposed k-times anonymous authentication protocols and self-blind credentials to enhance users’ privacy protection, but the k-times anonymous authentication protocols are only for pay-per-use membership services and the schemes of self-blind credentials are lack of regulating malicious users. To address these issues, this article proposes an anonymous authentication protocol for time span of membership (AATM) with self-blindness and accountability. Specifically, accountable self-blind credentials are constructed to ensure that users can create a brand new identity by them- selves for each membership access, which not only prevents a user from being linked by service providers but also supports conditional and impartial regulating. Security and performance analyses show that AATM is better than the state-of-the-art schemes in terms of security and privacy-preserving capabilities, and its computation cost also meets the practical application requirements.

A simple analysis bounding the performance of heat pumps for heating on the coldest days of the year per state.

This publication devises a method which formulates a national strategy for the renovation of single family houses by treating each era of initial construction independent of all the others, and applies a universally adoptable procedure to evaluate the cost efficiency of carbon emission reduction. A multi-objective optimization was conducted which varied the building envelope and energy systems while optimizing for annual cost and carbon emissions. The optimization was carried out in oemof.solph and PyGMO on typical German building stocks from 11 different construction eras between 1860 and 2020. The buildings were modelled in TEASER using TABULA building stock data. The results indicate that post-war era construction has the greatest improvement potential by saving over 16 tons of CO2/yr with respect to its business as usual case. The recommended solutions for each construction era have an investment cost to emission reduction ratio which is 25% better than those of the current efficiency subsidies.

A document by Amir Hossein Fahim Raouf . Click on the document to view its contents.

A document by Enrico Maria Vitucci . Click on the document to view its contents.

The data center markets in emerging economies are being built at a furious pace. When high availability is required, as it always is in the modern digital economy, the placement of geo-distributed data centers may be influenced by factors such as technician shortage and under-developed infrastructure, both of which are typical in emerging economies. Although the data center availability subject in general has been well studied, it remains unclear how rapid and unbalanced economic development in emerging economies may affect the availability of geo-distributed data centers and their cost of ownership. In this paper, we incorporate the unbalanced availability of infrastructure and technician into the data center placement. The problem is first formulated as a mixed integer nonlinear program (MINLP).To solve this potentially large scale problem, we transform it into a QCQP, capable of handling heterogeneous workloads. The resulting problem can then be efficiently solved by off-the-shelf optimization toolboxes. With real-life data in China, we show how unbalanced development of infrastructure and technician shortage may affect the placement of data centers, and analyze the tradeoff between cost and availability. Our results indicate that technician shortage and unbalanced network infrastructure will lead to increased cost and distinct data center placement strategies.

ZeroMove hashing is a novel data distribution technique for distributed systems that offers several key benefits. In contrast to the consistent hashing algorithm, which requires data migration when scaling the system, ZeroMove hashing enables the addition of clusters of nodes on demand without the need to move data between nodes. A cluster is located using an encoded unique identifier, while a node is identified with a hash function within a cluster. This approach ensures that data remains in the node where it is hashed, thereby increasing availability and improving system performance. Furthermore, the ZeroMove hashing technique can significantly reduce facility and administrative expenses, making it an excellent option for largescale distributed systems. Our tests on consistent hashing and ZeroMove hashing have shown that scaling from one node to six nodes with 480,000 data records took 6100 seconds in a system based on consistent hashing. In contrast, it took only 1.2 seconds for ZeroMove hashing to achieve similar scaling under the same settings. With consistent hashing, the time taken and amount of data moved increase proportionally with the amount of data stored in the system. However, with ZeroMove hashing, these values does not increase in proportion to the amount of data being stored. This is because ZeroMove hashing only involves the exchange of small amount of metadata between nodes during scaling processes.

In this paper we present a new decomposition and generative model for functional connectivity (FC), achieve 10x data compression, 97.3% identifiability, and modest improvent on FC-based predictive tasks. Additionally we are able to generate synthetic subjects with user-inputted clinical characteristics. fMRI and phenotype data came from the Neurodevelopmental Genomics: Trajectories of Complex Phenotypes database of genotypes and phenotypes repository, dbGaP Study Accession ID phs000607.v3.p2, as well as the Bipolar and Schizophrenia Network for Intermediate Phenotypes study (http://b-snip.org/). Additional data from OpenNeuro study ds004144 on fibromyalgia is included in the linked-to code.

Design, analysis and development a Type IV composite pressure vessel.

A document by Muhammad Farhan Shahid . Click on the document to view its contents.

We propose a peak-tracking BOTDA (PT-BOTDA) equipped with an efficient dynamic Brillouin frequency shift (BFS) searching scheme based on ternary search. The proposed scheme establishes a feedback loop between the chosen frequency and the corresponding Brillouin gain to reduce the required number of scanning frequencies in one measurement. We also evaluate the performance of the proposed scheme under scenarios of different searching granularities and dynamic sensing ranges. Experimental results indicate that in all situations, the proposed PT-BOTDA can achieve at least 85% reduction in the scanning frequency number with a 3-meter spatial resolution, while maintaining a convincing BFS searching accuracy under sufficient SNR condition.

This is the accepted author version of the conference paper published in 2020 Fourteenth International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials), New York, NY, USA, 2020, pp. 36-38. The version of record is available from: https://doi.org/10.1109/Metamaterials49557.2020.9284982