Miracle-dz/UniFAR-FTUs huggingface dataset:
P2P-XBone: A Virtual Network Support for Peer-to-Peer Systems

An architecture to deploy virtual IP networks with P2P-like dynamic topology management is described. Existing virtual IP network deployment mechanisms do not allow for dynamic topology adaptation and fault-tolerance since provisioning of IP tunnels is performed only once when a virtual network is deployed. We propose a P2P-XBone, in which a P2P protocol such as DHT drives the topology and the routing table of a virtual IP network consistent with its neighbor node state. We describe how to extend both the existing X-Bone system and P2P protocols to achieve interworking between them. The P2P-XBone not only provides P2P's characteristics such as self-organization, fault-tolerance and content-based routing to virtual IP networks but also provides higher forwarding performance and simpler implementation to P2P systems due to the availability of existing network services. We also show several evaluation results on the overhead of P2P-driven provisioning and on forwarding performance.
Multiband quasibound states in the continuum engineered by space-group-invariant metasurfaces

Bound states in the continuum (BICs) enabling resonances with high quality ($Q$) factor allow for high-efficiency light-matter interactions and boost various research fields such as nonlinear photonics and optical detecting. However, further improvement of the $Q$ factor of the resonances is challenging since the accurate fabrication of the tiny symmetry defects of meta-atoms is limited by the nanofabrication technology, which is critical for transition from BICs to quasi-BICs in previous works. Here we propose a different approach to trigger the transition of quasi-BICs that does not need to change the space group symmetry of nanostructures. By modulating the periods of the nanostructures, our approach enlarges the unit cell and enriches the ideal BICs eigenstates, achieving multiband quasi-BICs in metasurfaces. By tuning the asymmetry parameters, the selective excitation of multiband quasi-BICs is demonstrated. Thanks to the multi-narrow-band resonances obtained by the unit cell perturbation, a multivariable sensing method is proposed to simultaneously obtain the birefringence property and thickness of a nanoscale layer. The proposed approach exciting multiband quasi-BICs offers a possible solution for ultra-high-$Q$ devices without complex fabrication techniques and may found realistic application in many fields such as harmonic generation, optical detecting, and compact low-threshold lasers.
Amplification of Acoustic Waves in Piezoelectric Semiconductor Shells

Two-dimensional equations for multilayered shells of piezoelectric semiconductors are derived. The equations are used to analyze the propagation of torsional waves in a single-layered circular cylindrical shell of a piezoelectric semiconductor, and in a multilayered shell of nonconducting piezoelectrics and nonpiezoelectric semiconductors. Dispersion and dissipation due to semiconduction as well as wave amplification by a biasing DC electric field are discussed.
A new DRAM cell with a transistor on a lateral epitaxial silicon layer (TOLE cell)

A new dynamic RAM (DRAM) cell structure and its fabrication technology are proposed. The proposed DRAM cell consists of a transistor on a lateral epitaxial silicon layer (TOLE) and a stacked capacitor formed in a trench. It can achieve high immunity to alpha-particle-induced noise and a low parasitic bit-line capacitance. The TOLE structure is produced by a silicon-on-insulator fabrication technology newly developed by combining epitaxial lateral overgrowth and preferential polishing. Reasonable electrical characteristics for the TOLE and high immunity against alpha-particle disturbance for the TOLE cell were confirmed. >
Model Predictive Control of Internal Combustion Engines: A Review and Future Directions

An internal combustion engine (ICE) is a highly nonlinear dynamic and complex engineering system whose operation is constrained by operational limits, including emissions, noise, peak in-cylinder pressure, combustion stability, and actuator constraints. To optimize today’s ICEs, seven to ten control actuators and 10–20 feedback sensors are often used, depending on the engine applications and target emission regulations. This requires extensive engine experimentation to calibrate the engine control module (ECM), which is both cumbersome and costly. Despite these efforts, optimal operation, particularly during engine transients and to meet real driving emission (RDE) targets for broad engine speed and load conditions, has still not been obtained. Methods of model predictive control (MPC) have shown promising results for real-time multi-objective optimal control of constrained multi-variable nonlinear systems, including ICEs. This paper reviews the application of MPC for ICEs and analyzes the recent developments in MPC that can be utilized in ECMs. ICE control and calibration can be enhanced by taking advantage of the recent developments in the field of Artificial Intelligence (AI) in applying Machine Learning (ML) to large-scale engine data. Recent developments in the field of ML-MPC are investigated, and promising methods for ICE control applications are identified in this paper.
Design and implementation of a high-performance field-oriented induction motor drive

The design and implementation of a high-performance controller for a field-oriented induction motor drive is presented. Dynamic modeling based on the stochastic technique is performed. Based on the estimated drive model, a two-degree-of-freedom controller is proposed so good dynamic responses in both the speed tracking and regulation characteristics can be achieved. The parameters of the controller are found using a proposed systematic design procedure according to the prescribed specifications. Having designed and tested the performance of the controller by simulation, the hardware implementation is successfully made, and some experimental results are given to demonstrate the effectiveness of the proposed controller. >
Secure Key Pool Formation & Key Dissemination Scheme for WSN

A wireless sensor network is a collection of light-weight, low power, small size sensor nodes. Providing security for Wireless Sensor Networks (WSN) presents a unique challenge. Key Management is a security aspect that gets a great deal of attention in Wireless Sensor Networks. Key Management establishes the keys that are required for providing confidentiality, integrity and authentication requirements. A new key management scheme is proposed "Secure Key Pool Formation"(SKPF) for Wireless Sensor Networks. This scheme assumes that a pool of keys is originated at the B.S. that has specific number of keys generated randomly using a random number generator function. At the same time, the B.S. randomly generates key ID for uniquely identifying each key.Also each sensor is provided with group of keys of equal sizes, and these keys has to be picked randomly without removing any key from the key pool. This leads the sensors to have some sharing keys between each other which make node-node communication possible (these keys called sharing keys). Meanwhile, the B.S. provides each sensor with at least one unique key (named Master Key) which is to be used to communicate between each node and the B.S. This proposed scheme will provide security, where the CHs are choose on rotation basis in the network making it harder for intruders to know the routing elements and attack them.
Stimulating virtuous architectural practice

Architecture . is a subject that is fraught with genuine conflict, and it seems to have acquired an extraordinary capacity to make all kinds of people extremely angry about issues that range from the most intensely personal to the most diffusely political. In recent years, it is architecture more than any other aspect of contemporary culture that has touched the rawest nerves. (Sudjic, 2006, p. 23)
On-line partial discharge measurement on instrument transformers

The viability of partial discharge (PD) measurements in the field on current transformers (CTs) is investigated. On-line monitoring of each CT is achieved by making use of the existing DDF link where a HF current transformer is clipped around it. A computer-based system is used for recording and analysing the results. It was found that the typical interference level from external corona discharges in the substation can be in the order of a few thousand pCs. On the other hand, a PD threshold as low as a few hundred pCs in a CT is already considered to be dangerous. Apart from this is the interference associated with RF transmissions from nearby commercial radio stations and also possible PD signals picked up from the other phases. Techniques to overcome some of the interference problems are presented in the paper. These include filtering at the front end detection circuit (hardware) and phase-position windowing (software). Furthermore, to minimise the inter-phase signal coupling, a multichannel monitoring system is required for recording simultaneously the signals from the various phases. Signal discrimination can be implemented with appropriate software algorithms.
ZNAČAJ PROCENE VIZUO-MOTORNE INTEGRACIJE KOD DECE PREDŠKOLSKOG UZRASTA

Vizuo-motorna integracija (VMI) predstavlja nivo usklađenosti vizuelne percepcije i fine motorike te je bitno da obe komponente budu pravilno razvijene, ali i da su neometano koordinisane u zajedničku aktivnost. VMI je značajna u svakodnevnim životnim i akademskim aktivnostima. Cilj istraživanja je bio da se utvrdi nivo vizuo-motorne integracije kod dece predškolskog uzrasta, kao i da odgovori na pitanje postoji li veza između vizuo-motorne integracije i određenih socio-demografskih varijabli (pol i uzrast). Uzorak je činilo 74 dece predškolskog uzrasta, od pet godina i jednog meseca do sedam godina i sedam meseci (AS=6,66 godina; SD=0,44 godine). Istraživanje je sprovedeno primenom Razvojnog testa vizuo-motorne integracije (The Beery-Buktenica Developmental Test of Visual-Motor Integration - Beery VMI, Sixth Edition)(Beery & Beery, 2004) i Ček liste o usvojenosti vizuo-motorne integracije kod dece (Visual Processing Disorder – Checklist) nacionalnog udruženja specijalnih edukatora u Sjedinjenim Američkim Državama. Rezultati pokazuju da postoji statistički značajna povezanost između vizuo-motorne integracije, vizuelne percepcije i motorne koordinacije (p<0,05). Takođe, utvrđeno je da devojčice ostvaruju viši nivo postignuća na testu vizuo-motorne integracije od dečaka (p<0,05). Rezultati potvrđuju da je procena vaspitača usaglašena sa postignućima na razvojnom testu VMI. Iako deca na predškolskom uzrastu imaju prosečno razvijenu veštinu vizuo-motorne integracije, bilo bi preporučljivo sprovoditi skrininge iz ove oblasti da bi se na što ranijem uzrastu detektovala eventualna kašnjenja, obzirom na značaj razvijenosti VMI i njene povezanosti sa svakodnevnim aktivnostma i razvojem bazičnih akademskih veština.
An inter-area transmission and voltage limitation (TVLIM) program

This paper presents a new power system planning tool, called the transmission and voltage limitation (TVLIM) program, which provides a graphical display of the set of all feasible and secure interarea megawatt power transfers. The TVLIM program identifies the voltage magnitude limits, thermal loading limits, and voltage stability limits that constrain power transfer between areas. These limits define the boundary of a security region, called the TVLIM region, in the space of area imports of real power. Two TVLIM regions are generated, one for the base case operating condition and the other for the next contingency set. The next contingency TVLIM region identifies the limiting contingencies in addition to the weak links in the power network. A 39-bus and a 300-bus test power system are used to illustrate the TVLIM display. >
Energy and Statistical Filtering for a Robust Audio Fingerprinting System

The popularity of digital music and smart phones led to develope noise-robust real-time audio fingerprinting system in various ways. In particular, The Multiple Hashing(MLH) of fingerprint algorithms is robust to noise and has an elaborate structure. In this paper, we propose a filter engine based on MLH to achieve better performance. In this approach, we compose a energy-intensive filter to improve the accuracy of Q/R from music database and a statistic filter to remove continuity and redundancy. The energy-intensive filter uses the Discrite Cosine Transform(DCT)`s feature gathering energy to low-order bits and the statistic filters use the correlation between searched fingerprint`s information. Experimental results show that the superiority of proposed algorithm consists of the energy and statistical filtering in noise environment. It is found that the proposed filter engine achieves more robust to noise than Philips Robust Hash(PRH), and a more compact way than MLH.
FAKTOR INTERNAL YANG MEMPENGARUHI KINERJA KEUANGAN PADA PERUSAHAAN PERBANKAN

Abstrak Penelitian ini merupakan penelitian kuantitatif untuk mengetahui pengaruh faktor internal perusahaan perbankan. Penelitian dengan judul : “Faktor Internal yang Mempengaruhi Kinerja Keuangan pada Perusahaan Perbankan”. Sampel dalam penelitian ini adalah 36 bank umum yang terdaftar di Bursa Efek Indonesia (BEI) selama periode tahun 2016-2019 dengan pengampilan sampel menggunakan purposive sampling dengan kriteri-kriteria tertentu. Teknik analisis data yang digunakan dalam penelitian ini adalah analisis regresi linier berganda. Berdasarkan hasil analisis ditemukan bahwa Dana Pihak Ketiga (DPK) berpengaruh positif terhadap Return on assets (ROA), Non Performing Loan (NPL) berpengaruh negatif dan signifikan terhadap Return on Assets (ROA), dan Loan to Deposit Ratio (LDR) berpengaruh positif terhadap Return on Assets (ROA). Keyword : Dana Pihak Ketiga, NPL, LDR, ROA
Automated static code analysis : A tool for early vulnerability detection

Software vulnerabilities are added into programs during its development. Architectural flaws are introduced during planning and design, while implementation faults are created during coding. Penetration testing is often used to detect these vulnerabilities. This approach is expensive because it is performed late in development and any correction would increase lead-time. An alternative would be to detect and correct vulnerabilities in the phase of development where they are the least expensive to correct and detect. Source code audits have often been suggested and used to detect implementations vulnerabilities. However, manual audits are time consuming and require extended expertise to be efficient. A static code analysis tool could achieve the same results as a manual audit but at fraction of the time. Through a set of cases studies and experiments at Ericsson AB, this thesis investigates the technical capabilities and limitations of using a static analysis tool as an early vulnerability detector. The investigation is extended to studying the human factor by examining how the developers interact and use the static analysis tool. The contributions of this thesis include the identification of the tools capabilities so that further security improvements can focus on other types of vulnerabilities. By using static analysis early in development possible cost saving measures are identified. Additionally, the thesis presents the limitations of static code analysis. The most important limitation being the incorrect warnings that are reported by static analysis tools. In addition, a development process overhead was deemed necessary to successfully use static analysis in an industry setting.
Design of a tunable sequential power amplifier

A tunable sequential power amplifier (SPA) is presented in this article. The proposed SPA, including a tunable coupler, a carrier amplifier, a peaking amplifier, and a combining coupler is fabricated on Isola I‐TeraMTRF boards with 3.45 dielectric constant and 0.508 mm substrate thickness. A conventional SPA (nontunable) is also designed for reference and performance comparison. Measurement results show that the tunable SPA provides about 2 dB higher gain and 1 dB higher power output comparing with the reference design. The measurement results match well with the analysis. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:2899–2901, 2015
Microbeam analysis of MOS circuits

Irradiation of MOS SRAMs by energetic heavy ions results in pulses on the power lines of the device. Pulse-height analysis shows a series of peaks when the irradiation consists of identical particles incident in the same direction. Analysis through a microbeam shows that the pulses are generated by traversals of the p-n junctions making up the transistors of the device. Junctions in the memory array were found to dominate the spectrum from a CMOS device while those of the support circuitry dominate the spectrum from a DRAM. <<ETX>>
Life Cycle Critical Success Factors for Public-Private Partnership Infrastructure Projects

Public-private partnerships (PPPs) have been widely used in the procurement of economic and social infrastructure projects. Since the operation of more and more PPP projects, there have been a number of explorations on the factors that contribute to their success. Project success is often expressed by the quality of the product and project management success. Bearing in mind these perspectives, the critical success factors (CSFs) of PPP infrastructure projects under the auspices of the project management success perspective are identified and examined. A life-cycle CSF framework with embedded “learning mechanisms” is developed. The proposed framework will enable public and private sector stakeholders to possess an ameliorated understanding of the factors that are critical to successfully implementing a PPP contract strategy.
Analysis and design of miniaturized lumped-distributed impedance-transforming baluns

Conventional distributed baluns employ /spl lambda//2 transmission lines or /spl lambda//4 coupled lines. By adding only one or two lumped capacitors, the required coupled-line lengths of a new balun structure can be made as short as /spl lambda//24. Design curves for these miniaturized impedance-transforming baluns are derived using a systematic even- and odd-mode analysis technique. This approach also provides valuable insight into the tradeoffs between coupled-line lengths, number of capacitors, bandwidth, and impedance-transforming ratios. Experimental results of a single-capacitor balun with /spl lambda//9 coupled lines and a two-capacitor balun with /spl lambda//24 coupled lines will be presented. Both baluns achieved 0.5-dB amplitude balance and 5/spl deg/ phase balance, with over 10-dB return loss from 1.1 to 1.6 GHz.
Uma Abordagem para Redução do Tamanho de Shellcodes sem Comprometimento do Comportamento

Apesar da evolução das diferentes técnicas de ataque por binários, os Shellcodes continuam fazendo parte dos currículos de cursos na área de cibersegurança. A criação de um shellcode pode demandar o uso de técnicas automatizadas dependentes de cenário e de arquitetura de computador, já construí-lo no menor tamanho exige um esforço maior. Este trabalho, que recapitula o tema, corroborando sua importância por meio de consulta nos conteúdos trabalhados em cursos das 20 maiores Universidades do mundo, tem como objetivo apresentar uma abordagem de otimização do tamanho de Shellcodes, que emprega técnicas manuais, tais como PNP, IM, RV. Os resultados mostram a efetividade da abordagem proposta, cujos códigos resultantes foram incorporados oficialmente ao projeto Metasploit.
The architecture of gigantic drapery: the Richard B. Fisher Center for the Performing Arts, Bard College

‘The power of architecture (the potential of architecture) is integral to the spirit that orders the grouping of the elements that make up the house; – because architecture emanates, and does not clad; it is more an odour than a drapery, a state of aggregations, more than an enveloping surface. ’ (Le Corbusier)
A Dynamic Real-time Scheduling Algorithm for Reduced Energy Consumption

In embedded real-time systems, Dynamic Power Management (DPM) techniques have traditionally focused on reducing the dynamic power dissipation that occurs when a CMOS gate switches in a processor. Less attention has been given to processor leakage power or power consumed by I/O devices and other subsystems. I/O-based DPM techniques, however, have been extensively researched in non-real-time systems. These techniques focus on switching I/O devices to low power states based on various policies and are not applicable to real-time environments because of the non-deterministic nature of the policies. The challenge in conserving energy in embedded real-time systems is thus to reduce power consumption while preserving temporal correctness. To address this problem, we introduce three scheduling algorithms of increasing complexity: Energy-Aware EDF (EA-EDF), Enhanced Energy-Aware EDF (EEA-EDF) and Slack Utilization for Reduced Energy (SURE). The first two algorithms are relatively simple extensions to the Earliest Deadline First (EDF) scheduling algorithm that enable processor, I/O device, and subsystem energy conservation. The SURE algorithm utilizes slack to create a non-work-conserving approach to reducing power consumption. An evaluation of the three approaches shows that all three yield significant energy savings with respect to no DPM technique. The actual savings depends on the task set, shared devices, and the power requirements of the devices. When the cost of switching power states is low, the EA-EDF and EEA-EDF algorithms provide remarkable power savings considering their simplicity. In general, however, the higher the energy cost to switch power states, the more benefit SURE provides.
Compressive sampling–based data loss recovery for wireless sensor networks used in civil structural health monitoring

In a wireless sensor network, data loss often occurs during the data transmission between the wireless sensor nodes and the base station. In the wireless sensor network applications for civil structural health monitoring, the errors caused by data loss inevitably affect the data analysis of the structure and subsequent decision making. This article explores a novel application of compressive sampling to recover the lost data in a wireless sensor network used in structural health monitoring. The main idea in this approach is to first perform a linear projection of the transmitted data x onto y by a random matrix and subsequently to transmit the data y to the base station. The original data x are then reconstructed on the base station from the data y using the compressive sampling method. The acceleration time series collected by the field test on the Jinzhou West Bridge and the Structural Health Monitoring System on the National Aquatics Center in Beijing are employed to validate the accuracy of the proposed data loss recovery approach. The results indicate that good recovery accuracy can be obtained if the original data have a sparse characteristic in some orthonormal basis, whereas the recovery accuracy is degraded when the original data are not sparse in the orthonormal basis.
Gestão de Identidade e Acesso para dispositivos IoT na Smart Grid

Redes elétricas inteligentes (SG, Smart Grid) são compostas por dispositivos da internet das coisas (IoT, Internet of Things) que possuem restrições computacionais que impedem a adoção de protocolos tradicionais de comunicação e segurança. Assim, esse trabalho propõem uma abordagem de segurança fim-a-fim na comunicação entre os elementos da SG, permitindo que um usuário autenticado transporte suas credenciais obtidas na Internet para o contexto de IoT. Essa abordagem tem como principal vantagem a utilização do protocolo multicast na comunicação, sem comprometer a segurança. Apesar dessa proposta prover segurança na comunicação, não é capaz de prover controle fino no acesso aos recursos protegidos da IoT. Dessa maneira, propomos um controle de acesso leve baseado em duas etapas baseado para prover autorizações baseadas em papéis no contexto da IoT. A avaliação do protótipo mostrou-se mais eficiente e flexível do que os trabalhos encontrados na literatura.