Miracle-dz/UniFAR-FTUs huggingface dataset:
Hybrid SIMO and MIMO sparse array radar

This paper presents a sparse array imaging radar system capable of operating at both single-input-multiple-output (SIMO) mode and multiple-input-multiple-output (MIMO) mode. The hybrid radar modes are realized without any difference in hardware, but simply by switching the scheme of waveform generation in FPGA and post-processing in processors. A comparison has been made between the SIMO mode adopting a chirp waveform and the MIMO mode adopting Gold code waveform based on the code division multiple access (CDMA) method. Mutually complementary properties between the SIMO and the MIMO mode in terms of the cost of computation, the ease of array calibration, and the detectability of targets are demonstrated through an experiment.
Real-time control for a parallel hybrid electric vehicle based on Pontryagin's Minimum Principle

A heavy-duty parallel hybrid electric vehicle (HEV) is modeled first, together with dynamic equations of subsystem components. The HEV energy management problem was cast into an optimal control problem since its objective is to minimize fuel consumption while maintaining the state-of-charge of the battery within reasonable bouds. The Pontryagin's Minimum Principle (PMP)-based optimal algorithm is applied to solve the optimal control problem. A causal optimal strategy with a simple proportional-integral (PI)-control based on PMP is put forward, which can realize real-time control for HEV. The solutions of the causal optimal strategy are found to be very close to the global optimal solutions when tuning with the appropriate co-states.
0.13 μm Low Voltage Logic Based RF CMOS Technology with 115GHz fT and 80GHz fMAX

Superior RF CMOS of 115GHz f<sub>T</sub> and 80GHz f<sub>max</sub> has been realized by 0.13 μm low voltage logic based RF CMOS technology by aggressive device scaling and optimized layout. NF<sub>min</sub> of 2.2dB at 10GHz is achieved even without deep N-well and ground-shielded signal pad. P<sub>1dB</sub> of near 10dBm can fit bluetooth requirement and 55% PAE at 2.4 GHz address the good potential of sub-100nm CMOS for low voltage RF power applications
Polarisation-angle-delay estimation for blind localisation approaches under multipath propagation

A new method to estimate the polarisation, angles-of-arrival and delay of multiple waves impinging at an antenna array is presented. The method is developed for blind localisation approaches of a single transmitter under multipath propagation. Therefore, no knowledge about the transmitter and a SIMO radio channel is assumed. Based on cross relations between the receiver channels, a cost function is derived, which have to be optimised for parameter estimation purposes. A method to estimate the number of impinging waves is also presented. The overall estimator is validated with simulations and test measurements.
ANALYSING THE EFFECTIVENESS OF LOCAL GOVERNMENT AND OFFICIAL ORGANIZATION DESIGN IN WESTERN PART OF SERAM REGENCY

This research aims at analyzing the cause of the ineffectiveness of the design of local officer organization in the western part of Seram Regency by using the model of Galbraith organizational design. The data were analyzed by using qualitative descriptive method with the positivism paradigm and case study approach. The research was conducted in some SKPD (working units of local officer) in the Western part of Seram Regency, including one secretariat, two technical institutions, four local government offices and one subdistrict office. The key informants were the leader and officers of working units that become the research samples. From each working unit, five officers were selected as informants. Data collection was conducted through observations, deep interviews and data triangulation. The results reveal that the organizational design in the Western part of Seram Regency is not effective because the design process is not conducted according to the steps of organizational design included in Galbraith model. Key Words: effectiveness of organizational design, Galbraith model
Characterization of Bespoke Force Sensors for Tailored Applications

Bespoke force sensors made with active polymer composites are inexpensive, thin and flexible, hence popular in wearable electronics, however their wider application is limited due to the lack of literature studying their voltage response related errors. We present the voltage response characterization of bespoke force sensors made with an active polymer composite, silver coated fabric, stainless steel thread, and silver epoxy. Characterization of the effects of static and dynamic loading was completed with a mechanical testing machine. Static tests consisted of loading and unloading at 0.01, 0.1, 0.5 and 1 N/s, and drift tests for 120 minutes up to 10 N every 1 N. Dynamic tests consisted of a sinusoidal load of 5 N ±1 N applied at 0.05, 0.1, and 0.5 Hz for 60 min. The force-voltage relationships were modeled using an exponential function. Maximum mean drift error was observed when applying different static loads for 120 minutes each. Drift error is minimal at 5 s (<1%) and at 60 min (<5%) with loads under 1 N. Maximum hysteresis of 18% was observed at the 1 N/s loading rate. The maximum drift error after 1 h of dynamic loading was observed at 0.5 Hz and is minimal (−0.00004%). The cost of fabricating these sensors is very low compared with commercially available options. These sensors can be fabricated in any shape and size with the added advantage of being able to set the location of the electronic connections as desired.
Effect of Hevea brasiliensis latex sap gel on healing of acute skin wounds induced on the back of rats

Objective: to evaluate the effect of topical delivery of latex cream-gel in acute cutaneous wounds induced on the back of rats. Methods: we subjected sixteen rats to dermo-epidermal excision of a round dorsal skin flap, with 2.5cm diameter. We divided the animals into two groups: Latex Group: application of cream-gel-based latex throughout the wound bed on postoperative days zero, three, six and nine; Control group: no treatment on the wound. Photographs of the lesions were taken on the procedure day and on the 6 and 14 postoperative days, for analyzing the area and the larger diameter of the wound. We carried out euthanasia of all animals on the 14 postoperative day, when we resected he dorsal skin and the underlying muscle layer supporting the wound for histopathological study. Results: there was no statistically significant difference in the percentage of wound closure, in the histopathological findings or in the reduction of the area and of the largest diameter of the wounds among the groups studied on the 14 postoperative day. Conclusion: according to the experimental conditions in which the study was conducted, latex cream-gel did not interfere in the healing of acute cutaneous
DyPO : Dynamic Pareto-Optimal Configuration Selection for Heterogeneous

Modern multiprocessor systems-on-chip (MpSoCs) offer tremendous power and performance optimization opportunities by tuning thousands of potential voltage, frequency and core configurations. As the workload phases change at runtime, different configurations may become optimal with respect to power, performance or other metrics. Identifying the optimal configuration at runtime is infeasible due to the large number of workloads and configurations. This paper proposes a novel methodology that can find the Pareto-optimal configurations at runtime as a function of the workload. To achieve this, we perform an extensive offline characterization to find classifiers that map performance counters to optimal configurations. Then, we use these classifiers and performance counters at runtime to choose Pareto-optimal configurations. We evaluate the proposed methodology by maximizing the performance per watt for 18 singleand multi-threaded applications. Our experiments demonstrate an average increase of 93%, 81% and 6% in performance per watt compared to the interactive, ondemand and powersave governors, respectively.
Data mining of power transmission line fault based on apriori algorithm

The introduction of big data technology into power industry provides a new idea for power transmission line fault analysis. Alone with this route, the paper tends to evaluate its feasibility by investigating the data of power grid related to the transmission line fault analysis. Then, the framework of big data analysis system and data integration and preprocessing methods are proposed. At last, Apriori algorithm is used to mine the key attribute of fault cause and fault parts of the transmission line. With a test of a provincial power grid, the results show that the proposed scheme can effectively select the key attributes of cause and location of the power transmission line fault.
TITLE: A collection of genetically engineered Populus trees reveals wood biomass traits that predict glucose yield from enzymatic hydrolysis Short title: Tools to predict glucose yield from Populus wood

Wood represents a promising source of lignocellulosic biomass for the production of bio-based renewables, especially biofuels. However, woody feedstocks must be improved to become competitive against petroleum. We created a collection of Populus trees consisting of 40 genetically engineered lines to modify and to better understand wood biomass properties. A total of 65 traits were measured in these trees and in the corresponding wild-type clone, including growth parameters, wood anatomical and structural properties, cell wall composition and analytical saccharification. The relationships between saccharification of glucose and biomass traits were investigated using multivariate data analysis methods and mathematical modeling. To circumvent potential trade-offs between biomass production and saccharification potential, we also estimated the “total-wood glucose yield” (TWG) expected after pretreatment and 72h of enzymatic hydrolysis from whole trees. A mathematical model estimated TWG from a subset of 22 wood biomass traits with good predictivity (Q = 0.8), while saccharification of glucose could be predicted from seven biomass traits (Q = 0.49). Among the seven diagnostic traits for saccharification, four also affected biomass production, such as the ratio of Sto G-lignin which was beneficial for saccharification but detrimental for growth. The contents of various matrix polysaccharides appeared important for predicting both saccharification and TWG, including low abundance monosaccharides. In particular, fucose and mannose contents negatively correlated with TWG, apparently by negatively associating with biomass production. Both biomass production and saccharification, and hence TWG, negatively correlated with arabinose and rhamnose contents, suggesting that these low abundance monosaccharides represent markers/targets for improving feedstocks.
Improving Multiphase Induction-Heating Systems: Several Configurations and Resonant Control Show Promise

This article presents a new configuration for multiphase induction-heating (IH) systems and their control schemes. Instead of using separate voltage inverters to supply the required current to the inductors in each phase, we specifically configured the inverters to reduce the number of power switches. A modification of the inverter-setting parameters ensured the proper operation of the system. We obtained the best references through a specific optimization procedure and tested several solutions for neutral current minimization, including a new arrangement of the coils. In addition, proportionalresonant (PR) controllers allowed us to achieve current control in the different phases. We developed the application on a reducedpower, three-phase coupled resonant test bench, which provided simulation and experimental results.
Segmentierung sprachlicher Information

Für die Segmentierung eines kontinuierlichen Sprachschalls können prosodische Parameter als Anhaltspunkte dienen. Unter anderem sind es in diesem Zusammenhang (1) Domänengrenzen und (2) Prominenzmerkmale bzw. Betonungen, die genutzt werden, um das akustische Signal zu modifizieren und zu strukturieren. Folgend werden Beispiele präsentiert, die beide Aspekte dieser Strukturierungsmöglichkeiten betreffen. Die darauf basierende Studie befasst sich mit der Verarbeitung von Phonemkategorien, Silbengrenzen und Betonungen mit besonderem Fokus auf der physiologischen Meßund Bestimmbarkeit der auditorischen Leistung.
Trans-resveratrol-loaded nonionic lamellar liquid-crystalline systems: structural, rheological, mechanical, textural, and bioadhesive characterization and evaluation of in vivo anti-inflammatory activity

Resveratrol (Res) is a common phytoalexin present in a few edible materials, such as grape skin, peanuts, and red wine. Evidence has shown the beneficial effects of Res on human health, which may be attributed to its anti-inflammatory activity. However, the poor aqueous solubility of Res limits its therapeutic effectiveness. Therefore, the use of nanostructured delivery systems for Res, such as liquid-crystalline systems, could be beneficial. In this study, we aimed to develop, characterize, and determine the in vivo effectiveness of Res-loaded liquid-crystalline systems. Systems containing copaiba balsam oil, polyethylene glycol-40 hydrogenated castor oil, and water were designed. Results of polarized light microscopy, small-angle X-ray scattering, texture-profile analysis, and flow-rheology analysis showed that the Res-loaded liquid-crystalline system had a lamellar structure, textural and mechanical (hardness, compressibility, and adhesiveness) properties, and behaved as a non-Newtonian fluid, showing pseudoplastic behavior upon skin application. Furthermore, all liquid-crystalline systems presented bioadhesive properties that may have assisted in maintaining the anti-inflammatory activity of Res, since the topical application of the Res-loaded lamellar mesophase liquid crystals resulted in edema inhibition in a carrageenan-induced paw-inflammation mouse model. Therefore, Res-loaded lamellar mesophases represent a promising new therapeutic approach for inhibition of skin inflammation.
Mobile robot qualification metrics

Comparison of mobile robots and their usability in differing environments due to the multitude of measures available for this purpose is challenging. For instance with serial arm manipulators high manipulability is an essential indicator but not usable for the more complex features of a mobile robot. Unfortunately, many indicators only take into account design metrics and optimistic situations compared to actual use of the robot. In this research paper, existing metrics for mobile robot are compared and a new one is suggested. In this paper a new proposed survivability metrics is evaluated based on the actual realization of the robot in relation to its supposed operating conditions and environment. An example of a mobile robot is evaluated by using this proposed method.
Impact of Underlap Channel and Body Thickness on the Performance of DG-MOSFET with Si3N4 spacer

In this paper, we investigate the impact of underlap channel, affecting the performance of 20 nm channel length Schottky barrier (SB) double-gate metal-oxide-semiconductor field-effect-transistors (SB-DGMOSFETs) using 2D ATLAS TCAD simulation. For this purpose, we proposed an asymmetric underlap channel double gate (DG) SB-MOSFETs with Si<sub>3</sub>N<sub>4</sub> spacer layer. Simulation of major device performance metrics such as on-state current (I<sub>ON</sub>), off-state current (I<sub>OFF</sub>), subthreshold slope (SS), threshold voltage (V<sub>th</sub>), and associated capacitance variation gate-to source capacitance (C<sub>GS</sub>), gate-to-drain capacitance (C<sub>GD</sub>) have been done for substrate thickness (T<sub>Si</sub>) ranging from 6nm to 10nm. It has been found that by employing underlap channel there is improvement in I<sub>ON</sub>, reduction in I<sub>OFF</sub> & ambipolar leakage current. However, the reduction in ambipolar behavior is also observed, due to reduced effective gate voltage across the underlap channel length.
Certainty Equivalence in Nonlinear Output Regulation with Unmeasurable Regulated Error

Abstract In the present paper we consider a general nonlinear output regulation problem in which the regulated error is unmeasurable. It is assumed that the interconnection of the controlled plant with the exosystem observed through the measured output satisfies some appropriate observability conditions that allow the design of an asymptotic observer. Then, the contribution of this paper consists in showing that in the latter scenario, a design based on certainty equivalence is effective for determining a controller that achieves semiglobal output regulation.
Mining Clusters of Sequences Using Extended Sequence Element-Based Similarity Measure

Computing technologies have enabled the collection of large amounts of complex data in many fields. There has been enormous growth in the amount of commercial and scientific data. Such datasets consist of sequence data that have an inherent sequential nature. In this paper, we study how to cluster these sequence datasets. We propose an extended concept of the measure of similarity. In addition, we propose an effective hierarchical clustering algorithm. Using a splice dataset, we show that the quality of clusters generated by our proposed approach is better than that of clusters produced by traditional clustering algorithms.
Super-High-Frequency SAW Resonators on AlN/Diamond

This letter describes the procedure to manufacture high-performance surface acoustic wave (SAW) resonators on AlN/diamond heterostructures working at frequencies beyond 10 GHz. In the design of SAW devices on AlN/diamond systems, the thickness of the piezoelectric layer is a key parameter. The influence of the film thickness on the SAW device response has been studied. Optimized thin films combined with advanced e-beam lithographic techniques have allowed the fabrication of one-port SAW resonators with finger width and pitch of 200 nm operating in the 10-14 GHz range with up to 36 dB out-of-band rejection.
Significance of Measuring IGF-1 Levels in Adolescent Patients with Type 1 Diabetes Mellitus as a Prognostic Marker of Glycaemic and Lipid Profile Control

The study aimed at evaluating the effect of elevated serum insulin-like growth factor-1 (IGF-1), which is a by-product of growth hormone in the body on glycaemic control (assessed by measuring HbA1c) and lipid profiles in adolescent patients (aged between 12 and 18 years) suffering from diabetes mellitus Type 1(childhood onset diabetes mellitus). Thirty patients with diabetes mellitus type one were enrolled in the study within the age range mentioned (mean age was 15.2 ± 3). These patients had high-normal IGF-1 levels according to the normal standard range for their age group). A second group of thirty patients with diabetes mellitus type 1 with normal IGF-1 levels (mean age was 14.6 ± 2.5) were also enrolled for this study. A third group included thirty age and sex matched healthy controls. HbA1-c was measured in all of the patients involved in the study as well as serum IGF-1. Lipid profiles were assessed and they included total cholesterol, low density lipoproteins (LDL) High density lipoproteins (HDL) and serum triglycerides. A significant elevation in HbA1c levels was observed in diabetes mellitus type 1 patients with normal levels of IGF-1 as compared to patients with diabetes mellitus type 1 with high normal IGF-1 levels or normal control subjects (mean HbA1c levels for group 2 as compared to groups 1 &3 were 9.20±0.64 vs.7.01 ±0.56 vs. 5.11 ±0.57 respectively, p<0.01). A significant negative correlation was established between serum IGF levels and HbA1c (r=-0.46, p=0.02). These results required the reassessment of management protocols for patients belonging to Group 2. Serum total cholesterol levels, LDL-C, and triglycerides were significantly higher in the second group as compared to the other groups while HDL levels in the same group were found to be significantly lower. A significant negative correlation was established between serum LDL-C levels and IGF-1 levels measured in all participants (r=-0.41, p=0.02). This study concluded that elevation in IGF-1 levels (which is a good indicator of Growth hormone levels) in the body ) has its positive effects on glycaemic control and lipid profiles in adolescent patients receiving treatme nt for type 1 diabetes mellitus, therefore it is valuable as a prognostic tool for this disease.
Whole-body PET-MR imaging system initial calibration results

PET-MR imaging systems have been discussed and written about for many years. Philips is the first to develop a whole body PET-MR imaging system. The approach taken followed the realization that a sequential pair of scans, with both imaging scanners in the SAME ROOM could be achieved in far less time and cost than a simultaneous PET-MR and would achieve most of the potential benefits of the two modalities. We have designed, built and calibrated a pair of fully functional imagers, obtaining optimal imaging from both modalities, but having solved all of the difficult interaction issues that have previously prevented operation in the same room.
Using SPOT imagery to assess the effectiveness of combating desertification in Marrakech, Morocco

Desertification, leading to the reduction of land productivity, is one of the major threats in dryland ecosystems. Actions to combat desertification have become one of the important land management practices in the arid regions or countries in the past half century. Fodder shrub plantations have been implemented in the area of Marrakech since 1996 in order to prevent rangeland from further desertification and to rehabilitate rangeland productivity. This paper demonstrates a case study on the assessment of the effectiveness of such interventions in pilot sites in Marrakech by multitemporal remote sensing technology.
Optimal autonomous control of an inverter-based microgrid using particle swarm optimization

In this paper, optimal controller design of the nonlinear model of an autonomous inverter-based microgrid has been used. The controller is optimized to reject the high frequency disturbances and damp the output LC filter to avoid resonance with the external network. The control problem has been formulated as optimization problem. The optimal controller parameters have been obtained by using the particle swarm optimization (PSO). This is done based on minimization of the error in the measured power. Finally, the nonlinear time domain simulation has been carried out to assess the effectiveness of the proposed controller under different disturbances and loading conditions.
BTI and charge trapping in germanium p- and n-MOSFETs with CVD HfO/sub 2/ gate dielectric

High performance Ge p- and n-MOSFETs with CVD HfO2 gate dielectric were fabricated. Charge trapping and Vth instability were investigated systematically for the first time for Ge MOSFET with different surface treatments (silicon passivation and surface nitridation) and compared to the Si devices. Our results show that: (1) Ge devices with silicon passivation yield better electrical performance and reliability than those with surface nitridation; (2) Ge transistors with silicon passivation exhibit less NBTI degradation than the silicon counterparts; probably due to the larger hole barrier in Ge/dielectric than in Si/dielectric; and (3) PBTI degradation of the Ge transistors is more severe than the silicon devices, which imposes an important reliability issue for Ge CMOS applications
Face and gesture recognition for human computer interaction employing 2DHoG

Face and hand gesture recognition is one of the most challenging topics in computer vision. In this paper, a novel algorithm presenting a new 2D representation of histogram of oriented gradients is proposed, where each bin represents a range of angles dealt with in a separate layer employing 2DPCA. This method maintains the spatial relation between pixels which enhance the recognition accuracy. In addition it can be applied on either face or hand gesture images. Experimental results confirm excellent properties of the proposed algorithm and promotes it for real time applications.