Miracle-dz/UniFAR-FTUs huggingface dataset:
Closed-form solutions of singular KYP lemma: strongly passive systems, and fast lossless trajectories

In this paper, we deal with a special class of passive systems, which possess the characteristic property of having no finite spectral zeros. We call these systems strongly passive. It is well known that, for these systems, storage functions, i.e. solutions to the linear matrix inequality (LMI) arising from the Kalman–Yakubovich–Popov (KYP) lemma, cannot be obtained by the conventional approach of algebraic Riccati equations (AREs) and Hamiltonian matrices. In this paper, we first show that a strongly passive system always admits a unique storage function. We then provide a closed-form expression for this unique storage function. Using the closed-form formula of the unique storage function we characterise the ‘lossless’ trajectories of strongly passive systems and show that such systems admit impulsive lossless trajectories on the half-line; we call them fast lossless trajectories. This adds to the existing notion that such systems do not admit any ‘slow’ lossless trajectories.
Intelligent Power Control for Spectrum Sharing: A Deep Reinforcement Learning Approach

We consider the problem of spectrum sharing in a cognitive radio system consisting of a primary user and a secondary user. The primary user and the secondary user work in a non-cooperative manner, and independently adjust their respective transmit power. Specifically, the primary user is assumed to update its transmit power based on a pre-defined power control policy. The secondary user does not have any knowledge about the primary user's transmit power, neither its power control strategy. The objective of this paper is to develop a learning-based power control method for the secondary user in order to share the common spectrum with the primary user. To assist the secondary user, a set of sensor nodes are spatially deployed to collect the received signal strength information at different locations in the wireless environment. We develop a deep reinforcement learning-based method for the secondary user, based on which the secondary user can intelligently adjust its transmit power such that after a few rounds of interaction with the primary user, both the primary user and the secondary user can transmit their own data successfully with required qualities of service. Our experimental results show that the secondary user can interact with the primary user efficiently to reach a goal state (defined as a state in which both the primary and the secondary users can successfully transmit their own data) from any initial states within a few number of iterations.
Pointwise Topological Stability

Abstract We decompose the topological stability (in the sense of P. Walters) into the corresponding notion for points. Indeed, we define a topologically stable point of a homeomorphism f as a point x such that for any C0-perturbation g of f there is a continuous semiconjugation defined on the g-orbit closure of x which tends to the identity as g tends to f. We obtain some properties of the topologically stable points, including preservation under conjugacy, vanishing for minimal homeomorphisms on compact manifolds, the fact that topologically stable chain recurrent points belong to the periodic point closure, and that the chain recurrent set coincides with the closure of the periodic points when all points are topologically stable. Next, we show that the topologically stable points of an expansive homeomorphism of a compact manifold are precisely the shadowable ones. Moreover, an expansive homeomorphism of a compact manifold is topologically stable if and only if every point is topologically stable. Afterwards, we prove that a pointwise recurrent homeomorphism of a compact manifold has no topologically stable points. Finally, we prove that every chain transitive homeomorphism with a topologically stable point of a compact manifold has the pseudo-orbit tracing property. Therefore, a chain transitive expansive homeomorphism of a compact manifold is topologically stable if and only if it has a topologically stable point.
Introduction to the HyMeX Special Issue on ‘Advances in understanding and forecasting of heavy precipitation in the Mediterranean through the HyMeX SOP1 field campaign’

This Special Issue presents a wide range of studies carried out over the last three years exploiting the exceptional dataset of observations and model output collected during SOP1. The special issue consists of a series of 31 articles. Some major results of these articles are summarized in the following sections. Section 2 presents advances in observations and their use in characterizing HPE, section 3 highlights the advances in process understanding, and section 4 details results about predictability of HPE from numerical weather prediction (NWP) and regional climate models.
An assessment of a conical horn waveguide to represent the human eardrum

This study examined a model of the acoustic input impedance of the ear that includes a waveguide model of the eardrum. The eardrum was modeled as a lossless conical-horn with rigid walls. The ear canal was modeled as a one-dimensional lossy transmission line. The output impedance of the eardrum, the middle ear, and the cochlea, was modeled as a circuit analog. The model was fit to acoustic input impedance data from human ears using a nonlinear least-squares fit. The impact of a conical-horn shape for the eardrum was quantified by comparison with the eardrum modeled as a near-flat surface. The model provided a good match to the data over the frequency range examined. A conical-horn model of the human eardrum provided gain at high frequencies, most notably above 1–2 kHz, with a broader middle-ear frequency response. This finding may suggest that eardrum shape plays an important role in sound transmission to the cochlea.
Educational and Psychological Impacts of Corona-phobia and Movement Control Order

: Covid19's pandemic outbreak has dwarfed the global community to its knees so that the world was enveloped by panic, uncertainty and confusion. The quest for measures to control the plague has remained a challenging priority for each nation. Some of the world's most popular measures include restricting the movement of peoples, social distancing and isolation. Such tactics have created a great deal of mayhem, crises, and ultimately influence all social life interests including schooling, economy, religion and others. This study seeks to examine the educational and psychological impacts of Corona-phobia and the Movement Control Order (MCO) rule on Nigerian graduate students in Universiti Teknologi Malaysia (UTM). The study was quantitative, consisting as its population of all 380 postgraduate students. A sample of 191 participants was randomly selected with reference to guidelines from Krejcie and Morgan. Also developed and distributed among the respondents was a questionnaire whose validity and reliability were 0.7 and 0.8 respectively. Findings revealed that Corona-phobia and Movement Control Order developed fear, hopelessness and stigmatization coupled with denial of access to physical library, laboratory facilities, academic consultations, and conducting excursion functions. It is recommended among other things that the UTM authorities should introduce online services, academic activities and programmes to enable E-lectures, E-exams, E-supervision, E-submission of thesis, E-proposal defense, E-viva presentation, E-approvals, E-corrections, E-visa renewal, and E-visa cancellation etcetera. These will ensure continuity of the educational programmes during the pandemic period and will reduce the boredom, anxiety and depression among students.
L G ] 1 J un 2 01 8 Equivalence Between Wasserstein and Value-Aware Model-based Reinforcement Learning

Learning a generative model is a key component of model-based reinforcement learning. Though learning a good model in the tabular setting is a simple task, learning a useful model in the approximate setting is challenging. Recently Farahmand et al. (2017) proposed a value-aware (VAML) objective that captures the structure of value function during model learning. Using tools from Lipschitz continuity, we show that minimizing the VAML objective is in fact equivalent to minimizing the Wasserstein metric.
Blood Is Thicker Than Water : Kinship Orientation Across Adulthood

The importance of kin relationships was investigated across adulthood with 5 samples (total N 1,365). Within the personal networks, the genetic relatedness with relationship partners predicted subjective closeness (mean r .50) and social support (mean r .13). Effects were robust in 2 samples when controlling for residential proximity and contact frequency. These intraindividual correlations showed considerable variability and were interpreted as individual expressions of nepotism. The heritability of individual nepotism was zero. Variability of nepotism was unrelated to personality traits, but substantially related to sex, and parental and partner status. The authors discuss subjective closeness as 1 proximate cue to kinship, and suggest nepotistic adaptations as powerful mechanisms in social relationships.
INTERPERSONAL RELATIONS AND GROUP PROCESSES Is Martin Luther King or Malcolm X the More Acceptable Face of Protest? High-Status Groups’ Reactions to Low-Status Groups’ Collective Action

Work on collective action focuses mainly on the perspective of disadvantaged groups. However, the dynamics of social change cannot be fully understood without taking into account the reactions of the members of advantaged groups to collective action by low-status groups. In 10 experiments conducted in 4 different intergroup contexts (N 1349), we examine advantaged groups support for normative versus non-normative collective action by disadvantaged groups. Experiments 1a to 1e show that normative collective action is perceived as more likely to improve the disadvantaged group’s position and that non-normative collective action is perceived as more damaging to the advantaged group’s social image. Also, these differences are due to differences in perceptions of actions violating norms of protest and perceptions of protesters as blaming the advantaged group for the inequality. Experiments 2a to 3 show that high compared with low identified members of advantaged groups distinguish more between types of collective action, showing a greater preference for the normative type. Both a mediational design and an experimental-causal-chain design (Experiments 3 and 4) show that support among high identifiers depends more on whether collective action damages the high-status group’s social image than on whether it actually reduces inequality. Findings suggest that high-status groups’ support for collective action is not only shaped by the perceived likelihood of change but also by its potential damage to the image of the high-status ingroup.
The Navigability of Strong Ties: Small Worlds, Tie Strength, and Network Topology Self-organization in Strong-tie Small Worlds

A small world (SW) is a (large) graph with both local clustering and, on average, short distances between nodes [1,2]. Short distances promote accessibility, whereas local clustering and redundancy of edges, as some research suggests [3,4], promotes robustness to disconnection and, through multiple independent pathways, reliable accessibility as well. For paths to transmit materials and information via network traversal, a small world also requires navigability. This was the property investigated in the first small world experiment by Travers and Milgram [5]: Could people randomly selected in Omaha, Nebraska, successfully send letters to a predetermined target in Boston, when asked to direct their letters to single acquaintances who are asked in turn to forward the letters through what becomes a chain of personal acquaintances? In many cases this task was accomplished in fewer than six steps, but success required letters sent to acquaintances who were successively closer, geographically or occupationally, to the target. The problem of navigability is whether the next step in such chains will be any closer to the target than the last. This cannot occur in a network of edges generated with uniform probabilities, as Kleinberg showed [6]. SW networks with random rewiring, like random networks generally, lack the ability to find the target person quickly via successive links in the network. Kleinberg also showed a far stronger result: the ability of decentralized algorithms to find short paths by sending messages along their incident edges using only local information about them depends, in regular lattices in which edge probability is an inverse power of lattice distance, on a unique value of that exactly matches the dimensionality of the lattice. The short paths that are relevant in this context are those whose lengths are bounded by a polynomial in logN, where N is the number of nodes, because this is what defines algorithmic efficiency for a random graph [7]. The right power-law decay of link frequency—in relation to geometric distance— creates fewer long jumps in the right direction that act as shortcuts
Inter-industry Gender Wage Gaps by Knowledge Intensity: Discrimination and Technology in Korea Center for Policy Research – Spring 2006 Associate Directors

Up-to-date information about CPR's research projects and other activities is available from our World Wide Web site at www-cpr.maxwell. syr.edu. All recent working papers and Policy Briefs can be read and/or printed from there as well. ABSTRACT A new gender wage gap decomposition methodology is introduced that does not suffer from the identification problem caused by unobserved non-discriminatory wage structure. The methodology is used to measure the relative size of Korean gender wage gaps from 1994 to 2000 across industries, differentiated by industrial knowledge intensity, where knowledge intensity is the extent to which industries produce or employ high-technology products. Korea represents an important case study, since it possesses one of the fastest growing knowledge-intensive economies, among industrialized countries. Empirical results indicate that over this period, discrimination (the unexplained portion of the gender wage gaps) in Korea was statistically smaller in knowledge-intensive industries than in industries with low knowledge intensity. Also, discrimination was declining on average over the period. This suggests that continued growth in knowledge-intensive industries in Korea may lead to further declines in the overall gender gap.
Viewpoint-independent 3D object segmentation for randomly stacked objects using optical object detection

This work proposes a novel approach to segmenting randomly stacked objects in unstructured 3D point clouds, which are acquired by a random-speckle 3D imaging system for the purpose of automated object detection and reconstruction. An innovative algorithm is proposed; it is based on a novel concept of 3D watershed segmentation and the strategies for resolving over-segmentation and under-segmentation problems. Acquired 3D point clouds are first transformed into a corresponding orthogonally projected depth map along the optical imaging axis of the 3D sensor. A 3D watershed algorithm based on the process of distance transformation is then performed to detect the boundary, called the edge dam, between stacked objects and thereby to segment point clouds individually belonging to two stacked objects. Most importantly, an object-matching algorithm is developed to solve the over- and under-segmentation problems that may arise during the watershed segmentation. The feasibility and effectiveness of the method are confirmed experimentally. The results reveal that the proposed method is a fast and effective scheme for the detection and reconstruction of a 3D object in a random stack of such objects. In the experiments, the precision of the segmentation exceeds 95% and the recall exceeds 80%.
Design and analysis of attitude control algorithm for low earth orbiting satellite with magnetic torquer concepts using nonlinear unscented Kalman filter

Attitude control system plays the important role for to maintain the satellite to desired orientation. To control the satellite it is necessary to do the attitude stabilization. Attitude stabilization achieved by Star sensor, sun sensor, Earth sensors. Attitude control is mainly use for antenna pointing accuracy, camera focus to earth surface and solar panel pointing toward sun. Due to tumbling effects, satellite will rotate all the direction in the space. To maintain the orientation of the satellite it is necessary to design the attitude determination and control. Satellite consider as the rigid body. Inertia matrix describes the rigid body dynamics. The orientation of the satellite determine by Euler angle and Quaternion. The Low earth orbiting satellite will have enormous amount of aerodynamic drag stinking the satellite body and gravitational attraction another problem. Because of that satellite dwell, time is reduced. It means satellite more time spending particular part of the earth. The attitude estimation is measures by the orientation of vectors. Attitude estimation means to find the position and orientation of flying object with respect to the fixed reference of reference. Vector remains considered in the frame of reference to compute for find the orientation of the body of the satellite in the inertial reference system. The Earth is an inertial reference frame, and Satellite is a body frame. Attitude sensor used to measure the satellite orientation in the reference frame. This will help in accurately predicting the orbit deviation and a control system to correct if any by providing the satellite momentum means ‘mass in motion’ changes in a body rapidly in Low earth orbit due to centripetal force acting on a satellite. Attitude control system (ACS) need the numerical simulation to find the required torque demand by the help of difference between reference input (Attitude) signal and feedback signal measure by attitude sensor to trim the control surface maintain the actuator required orientation . The results will consist of two parts the first part consisting of the attitude estimation using Euler angle and Quaternion method, second part consist of estimate the control torque from magnetic torquer and error estimation using non-linear filter (Unscented Kalman Filter) with MATLAB simulation.
A wide-latitude CO survey of molecular clouds in the northern Milky Way

A wide-latitude, low angular resolution survey of CO along most of the first Galactic quadrant and part of the second was undertaken in order to investigate molecular clouds associated with the Great Rift and the diffuse component of Galactic gamma rays. The main nearby clouds have masses between a few times 10,000 and a few times 100,000 solar masses, versus a few times a million solar masses for the largest complexes elsewhere. The CO emission in the survey comes nearly equally from local clouds associated with the Great Rift and from distant clouds in the inner arms of the Galaxy 4-7 kpc from the Galactic center. The half-thickness at half-intensity of the local molecular cloud layer is greater than 50 pc and is estimated to be 75 + or - 25 pc. The results strongly support the notion that all dark nebulae are molecular clouds, and vice-versa. 46 references.
Determination of best-fitted regression model for prediction of body weight in attappady black goats

The present investigation was undertaken to determine the best-fitted regression model for the prediction of body weight using different linear body measurements of Attappady Black goats in Kerala, India. Data on body weight and body measurements recorded on 1412 Attappady Black goats consisting of 493 males and 919 females from its breeding tract were used for the study. The whole data was classified into five age groups viz., 0-3, >3-6, >6-12, >12 and 0-12 months. The simple and multiple regression models were fitted with body weight as dependant variable and chest girth, body length and height at withers as independent variables. The correlation coefficients between body weights and body measurements at different ages were positive and strongly correlated (P<0.01) ranging from 0.509 to 0.915. The chest girth alone accounted for a maximum of 79.4 and 77.9 per cent of the total variation in body weight in males and females, respectively, signifying its importance for the prediction of body weight. Highest coefficient of determination (R 2 - value) was obtained in the models when all the body measurements were included.
Asymptotics of eigenvalues for Sturm-Liouville problem with eigenparameter-dependent boundary conditions

whereλ is a real parameter; q(t) is a real-valued function; ai , ai , bi, bi ∈ R, i = 0,1. Also we assume that q(t) is continuous, its differentiation exists and is integrable. This problem differs from the usual regular Sturm-Liouvill e problem in the sense that eigenvalue parameter λ is contained in the boundary condition at a. Problems of this type arise from the method of separation of variables applied to mathem atical models for certain physical problems including heat conduction and wave propagation, etc. [ 8]. It is shown by Walter [ 15] that this problem is self-adjoint problem . The purpose of this paper is to obtain asymptotic approximation s f r the eigenvalues of ( 1)-(3).
Enterprise Resource Planning (ERP)

Perkembangan bisnis telah menyebabkan terjadinya perubahan yang cukup signifikan dalam pola pengambilan keputusan yang dilakukan oleh manajemen baik pada tingkat operasional (pelaksana teknis) maupun pimpinan pada semua jenjang. Perkembangan ini juga telah menyebabkan perubahan-perubahan peran dari para manajer dalam pengambilan keputusan, mereka dituntut untuk selalu dapat memperoleh informasi yang paling akurat dan terkini yang dapat digunakannya dalam proses pengambilan keputusan. Meningkatnya penggunaan teknologi informasi, khususnya internet, telah membawa setiap orang dapat melaksanakan berbagai aktivitas dengan lebih akurat, berkualitas, dan tepat waktu. Setiap organisasi dapat memanfaatkan internet dan jaringan teknologi informasi untuk menjalankan berbagai aktivitasnya secara elektronis. E-Business merupakan kegiatan berbisnis di Internet yang tidak saja meliputi pembelian, penjualan dan jasa, tapi juga meliputi pelayanan pelanggan dan kerja sama dengan rekan bisnis (baik individual maupun instansi). E-business diturunkan dari istilah seperti “e-mail” dan “e-commerce”, yaitu bisnis di internet. E-business adalah istilah yang lebih umum dari e-commerce karena tidak hanya mengarah pada aktifitas membeli dan menjual melainkan melayani konsumen dan bekerja sama dengan rekan-rekan bisnis lainnya atau dengan kata lain E-business merupakan interaksi dengan rekan-rekan bisnis. Fungsi dari e-business yaitu untuk mensupport bagian dari marketing, produksi, accounting, finance, dan human resource management. Proses transaksi online memegang peranan yang sangat penting pada e-business