Miracle-dz/UniFAR-FTUs huggingface dataset:
Capacity for the uplink channel of a single cell multiuser MIMO systems with antenna mutual coupling effect included

The MIMO capacity for a single cell multiple-input and six outputs multiuser MIMO system is investigated. The channel model consists of an antenna array at each mobile terminal, the Rayleigh fading channel from the user to the base station, and also an antenna array at base station. The channel State Information (CSI) is assumed to be always known at the base station, thus successive decoding for multiuser can be utilized. It is found that the capacity drops when antenna mutual coupling becomes severe with smaller antenna separations at the user terminals. Simulation results also indicate that as the number of antennas used by mobile terminals doubles or triples, or as the cochannel user group in the cell enlarges, the total channel capacity significantly increases. Simulation results of some typical examples are presented to illustrate our findings.
Enriching Affect Analysis Through Emotion and Sarcasm Detection

Affect detection from text is the task of detecting affective states such as sentiment, mood and emotions from natural language text including news comments, product reviews, discussion posts, tweets and so on. Broadly speaking, affect detection includes the related tasks of sentiment analysis, emotion detection and sarcasm detection, amongst others. In this dissertation, we seek to enrich textual affect analysis from two perspectives: emotion and sarcasm. Emotion detection entails classifying the text into fine-grained categories of emotions such as happiness, sadness, surprise, and so on, whereas sarcasm detection seeks to identify the presence or absence of sarcasm in text. The task of emotion detection is particularly challenging due to limited number of resources and as it involves a greater number of categories of emotions in which to undertake classification, with no fixed number or types of emotions. Similarly, the recently proposed task of sarcasm detection is complicated due to the inherent sophisticated nature of sarcasm, where one typically says or writes the opposite of what they mean. This dissertation consists of five contributions. First, we address word-emotion association, a fundamental building block of most, if not all, emotion detection systems. Current approaches to emotion detection rely on a handful of manually annotated resources such as lexicons and datasets for deriving word-emotion association. Instead, we propose novel models for augmenting word-emotion association to support unsupervised learning which does not require labeled training data and can be extended to flexible taxonomies of emotions. Second, we study the problem of affective word representations, where affectively
The Racial Wage Gap

Labor market attachment differs significantly across young black, Mexican, and white men. Although it has long been agreed that potential experience is a poor proxy for actual experience for women, many view it as an acceptable approximation for men. Using the NLSY, this paper documents the substantial difference between potential and actual experience for both black and Mexican men. We show that the fraction of the black/ white and Mexican/white wage gaps that are explained by differences in potential experience are quite different from the fraction of the racial wage gaps that are explained by actual (real) experience differences.
Metamodel Recovery from Multi-tiered Domains Using Extended MARS

With the rapid development of model-driven engineering (MDE), domain-specific modeling has become a widely used software development technique. In MDE, metamodels represent a schema definition of the syntax and static semantics to which an instance model conforms (i.e., a model conforms to its metamodel in a similar manner to how a program conforms to a grammar). However, in order to address new feature requests of the domain and language, the metamodel often undergoes frequent evolution that may result in the inability of users to load and view previous model instances. MARS is a metamodel recovery system to address the problems of metamodel evolution. This paper presents our extensions to MARS to infer models for multi-tiered domains. A new XSLT translator has been developed to generate a domain-specific language (DSL) called MRL (model representation language) for the XML representation of domain instances. The metamodel inference engine has been revised to translate the MRL back into a metamodel.
Channel Estimation Using Time-Multiplexed Pilots in HSUPA Uplink

High date rates of up to 5.76 Mbps with spreading factors as low as 2 are supported in High Speed Uplink Packet Access (HSUPA) channels of UMTS, as specified by 3GPP [9][10]. Receivers for WCDMA are usually implemented as Rake receivers or variants of it [7]. Such receivers require accurate estimation of complex gains of multipaths received. Pilot symbols are provided as part of DPCCH channel and can be used for pilot-aided estimation of multipath complex gains. However the pilot symbols are in time-multiplexed form i.e. not transmitted continuously in time. Also, for channels corresponding to high vehicular speeds, the coherence time of channel is very low. Hence the accurate estimation of channel taps with granularity as fine as 2 chips becomes a complex task. We present here a method of channel estimation based on interference-compensated cubic smoothing splines. This method has been found to be robust to additive noise, while at the same time able to closely track the channel variations with fine granularity. The smoothing splines are a variant of least-squares splines, but with added constraints on smoothness. A comparison of the proposed method with alternative methods of channel estimation is also presented.
Gossiping Differential Evolution: A Decentralized Heuristic for Function Optimization in P2P Networks

P2P-based optimization has recently gained interest among distributed function optimization scientists. Several well-known optimization heuristics have been recently re-designed to exploit the peculiarity of such a distributed environment. The final goal is to perform high quality function optimization by means of inexpensive, fully decentralized machines, which may either be purposely organized in a P2P network, or voluntarily join a running P2P optimization task. In this paper we present the GoDE algorithm (Gossip-based Differential Evolution), which obtains remarkable results on several test functions. We describe in detail the algorithm design and the epidemic mechanism that greatly improves the performance. Experimental results in a simulated environment show how GoDE adapts to network scale and how the epidemic communication protocol can make the algorithm achieve good results even in presence of a high churn rate.
Fast RSVP: A Cross Layer Resource Reservation Scheme for Mobile IPv6 Networks

This paper proposes a new cross layer scheme (Fast RSVP) to reserve resources in mobile IPv6 networks. Through the cooperation of mobile IP and RSVP modules, Fast RSVP includes a number of mechanisms such as advanced resource reservation on neighbor tunnels, resource reservation on optimized routes, resource reservation for handover sessions, path merge etc. Network simulation results show that our scheme, compared with other traditional ways to reserve resources in mobile environments, has the following advantages: (1) it allows a mobile node to realize fast handover with QoS guarantees; (2) it avoids resource wasting caused by triangular routes and duplicate reservations; (3) it distinguishes different types of reservation requests, greatly reducing the handover session forced termination rate while maintaining high performance of the network.
From Watermarks to Fuzzy Extractors: a Practical Construction

Fuzzy extractors are a powerful tool to extract randomness from noisy data. A fuzzy extractor can extract randomness only if the source data is discrete while in practice source data is continuous. Using quantizers to transform continuous data into discrete data is a commonly used solution. However, as far as we know no study has been made of the effect of the quantization strategy on the performance of fuzzy extractors. We use an unexplored parallel between watermarking theory and fuzzy extractors to study the effects of quantization. We construct the encoder and the decoder function of a fuzzy extractor using quantization index modulation (QIM) and we express performance properties of a fuzzy extractor in terms of geometric properties of the used QIM. In the end we present and analyze, as an exercise, two constructions in the two dimensional space. Our 6-hexagonal tiling construction offers ( (log2 6)/2-1) approximately 0.3 extra bits per dimension of the space compared to the known square quantization based fuzzy extractor. The other construction turns out to be optimal from resilience to noise perspective.
Reducing Bitrate and Increasing the Quality of Inter Frame by Avoiding Quantization Errors in Stationary Blocks

In image compression and video coding, quantization error helps to reduce the amount of information of the high frequency components. However, in temporal prediction the quantization error contributes its value as noise in the total residual information. Therefore, the residual signal of the inter-picture prediction is greater than the expected one and always differs zero value even input video contains only homogeneous frames. In this paper, we reveal negative effects of quantization errors in inter prediction and propose a video encoding scheme which is able to avoid side effects of quantization errors in the stationary parts. We propose to implement a motion detection algorithm as the first stage of video encoding to separate the video into two parts: motion and static. The motion information allows us to force residual data of non-changed part to zero and keep the residual signal of motion regularly. Beside, we design block-based filters which improve motion results and filter those results fit into block encode size well. Fixed residual data of static information permits us to pre-calculate its quantized coefficient and create a bypass encoding path for it. Experimental results with the JPEG compression (MJPEG-DPCM) showed that the proposed method produces lower bitrate than the conventional MJPEG-DPCM at the same quantization parameter and a lower computational complexity. Received on 13 September 2019; accepted on 11 December 2019; published on 17 January 2020
Dyadic Examination of Parental Support, Basic Needs Satisfaction, and Student–Athlete Development During Emerging Adulthood

Using self-determination theory and the theory of emerging adulthood as frameworks, the present study investigated dyadic associations for the effect of parental support on college student–athletes’ need satisfaction, and the effect of need satisfaction on student–athletes’ adjustment. Fifty NCAA Division I student–athletes and a corresponding parent (N = 50) completed online surveys. Student–athletes’ and parents reported parental support (i.e., parental responsiveness and basic needs satisfaction) and student–athletes’ reported college adjustment (i.e., academic self-efficacy, athletic satisfaction, and individuation). Interpersonal models demonstrated both parent and student–athlete reported parental responsiveness was associated with higher levels of need satisfaction. Student–athlete reports of need satisfaction was related to reduced emotional independence, while parental reports of need satisfaction were related to enhanced academic self-efficacy. Findings support the central role of parental support for student–athletes in college; however, negotiating the balance between providing support and encouraging emotional independence remains a challenge for parents.
Spread of Influence and Content in Mobile Opportunistic Networks

We consider a setting in which a single item of content (such as a song or a video clip) is disseminated in a population of mobile nodes by opportunistic copying when pairs of nodes come in radio contact. We propose and study models that capture the joint evolution of the population of nodes interested in the content (referred to as destinations), and the population of nodes that possess the content. The evolution of interest in the content is captured using an influence spread model and the content spread occurs via epidemic copying. Nodes not yet interested in the content are called relays; the influence spread process converts relays into destinations. We consider the decentralized setting, where interest in the content and the spread of the content evolve by pairwise interactions between the mobiles. We derive fluid limits for the joint evolution models and obtain optimal policies for copying to relay nodes in order to deliver content to a desired fraction of destinations. We prove that a time- threshold policy is optimal while copying to relays. We then provide insights into the effects of various system parameters on the co-evolution model through simulations.
Printing industry offshoring: Perspectives from U.S. based printing

Introduction Offshoring and offshore outsourcing, the movement of work and tasks to low-cost countries , has been increasing in scale and scope. Offshoring in the manufacturing sector has been an ongoing phenomenon for more than forty years. More recently, examples of offshoring in services industries such as software, once considered non-tradable and therefore immune to offshoring, have emerged. The concurrent effects of very rapid growth of the Indian and Chinese economies and dramatically lower international cross-border transaction costs have the potential to change the structure of many industries. Some have called this as historic an economic transformation as the Industrial Revolution (Blinder, 2006). Offshoring has already transformed a number of industries. On the manufacturing side, in response to pressures from foreign competitors, U.S. semiconductor firms were able to take advantage of labor in low-cost countries by modularizing their value chains (Sturgeon, 2006). By modularizing, they could isolate pieces of the value chain and site them in the most efficient geographic locations. Very labor-intensive tasks such as assembly were first moved offshore, and later foundries were moved to more efficient locations, while high-level design was kept closer to customers (Brown & Linden, 2005). Similarly the U.S. automotive industry has been able to improve its competitive position by moving some of its labor-intensive production to Mexico to lower its costs. On the services side, certain industries are being transformed very rapidly. In a span of about three years, the American IT services industry has adopted a " global delivery model, " in which customers expect bids on projects to have blended rates, including both on-site and offshore labor components. These projects do not reflect a simple division of labor, where the work completed on-site is high-skill and the offshore work is low-skill. Instead, major companies are creating product-specific centers in low-cost countries that will serve customers throughout the world. For example, IBM has announced that Bangalore will be the global home for its Service Oriented Architecture (SOA), a strategic business segment it expects will grow rapidly over the next decade (Global News Wire, 2006). The printing industry has characteristics similar to both manufacturing and services industries. Like manufacturers, printers produce tangible goods, but like services providers, the products delivered are often highly customized, requiring co-production by customer and printer. As a result, increased international cross-border trade, especially with China and India, will affect the printing industry in distinctive ways. The goal of …
The Views of Women in Prison about Help-Seeking for Intimate Partner Violence: At the Intersection of Survivor and Offender

ABSTRACT Intimate partner violence (IPV) is the most prevalent form of violence against women, with particularly high rates of victimization experienced by those who are involved in the justice system. For women leaving prison, the dual status of ‘survivor’ and ‘offender’ introduces a range of additional factors that have the potential to limit access to those services that can keep them safe. In this qualitative study, 22 women in an Australian women’s prison discussed help-seeking for IPV. The analysis of their experiences highlights the importance of providing services that address multiple determinants of help-seeking in ex-prisoners.
SPVA: A novel digital signal processor architecture for Software Defined Radio

In this paper, we propose a new digital signal processor architecture SPVA (Scalable Parallel VLIW architecture) for Software Defined Radio. The proposed architecture organizes function units into arithmetic units, and other units. The former are organized as SIMD clusters and the latter are organized as control clusters. Advantages of the proposed architecture include exploiting data parallelism through SIMD VLIW clusters, hiding memory latency through static schedule schemes, and exposing delay of branch and memory access to programmers and compilers. The experiments' results on critical benchmarks show that this architecture provides significant computation speedup compared to conventional VLIW DSP.
Evolutionary design of static output feedback controller for Takagi-Sugeno fuzzy systems

The design of a static output feedback fuzzy controller for nonlinear systems based on Takagi-Sugeno (T-S) fuzzy models is addressed. To avoid complex mathematical derivations and conservative results, a genetic algorithm (GA) is integrated with a linear matrix inequality (LMI) optimisation to seek the static output feedback gains that satisfy the Lyapunov stability inequalities with a decay rate constraint. To do so, the fitness function of the GA must be made up of constraints that are derived from some fundamental control theories, the Lyapunov stability criteria and LMI solver. To improve the computational efficiency of the GA and LMI solver, a fitness function, called the hierarchical fitness function structure, is built on a hierarchical structure such that the GA can in turn deal with stability inequalities. The relaxed syntheses of static output feedback fuzzy control are then easy to implement without using complex mathematical derivations.
ABCD-L: Approximating continuous linear systems using Boolean models

In this supplement, we provide additional context for ABCD-L and place our contributions in perspective, relative to the existing body of literature on topics like AMS modelling/verification, Boolean and hybrid systems frameworks, etc. Further, we demonstrate that ABCD-L can be applied in conjunction with Model Order Reduction (MOR) techniques, to Booleanize large LTI systems whose direct eigendecomposition may be computationally infeasible. For example, we combine ABCD-L with Arnoldi iteration based MOR to efficiently produce accurate Boolean models of a real-world power grid network (with 25849 nodes) obtained from a benchmark set made available by IBM. Due to space constraints, we were unable to include such material within our main manuscript.
An improved Bayesian face recognition algorithm in PCA subspace

Through modeling the difference between two face images by three components, intrinsic difference (I), transformation difference (T), and random noise (N), we show that the Bayesian algorithm can successfully separate the main disturbing component, T, from the discriminating component, I, however, at a cost of magnified noise, N. To control the noise, we apply PCA on the original image, then carry out the Bayesian analysis in the reduced PCA space. The new method is shown to be more effective than the standard Bayesian algorithm in experiments using 2000+ face images from the Feret database.
Utterance-initial elements in Japanese: a comparison among fillers, conjunctions, and topic phrases

Speakers need to plan the following part of speech under the pressure of a temporal imperative at utterance-initial positions. Each language seems to have some devices to solve this problem, which we call utterance-initial elements (UIEs). We investigated effects of two factors, boundary strengths and complexity of the following constituents, on the durations of possible UIEs, such as fillers, conjunctions, and topic phrases. We found that the last mora of filler e, as well as wa-marked topic phrases, became longer as the complexity increased in certain conditions. Possible interpretations for the results are discussed. Index Terms: utterance-initial elements, prolongation, boundary strengths, constituent complexity
The theory of linear programming:skew symmetric self-dual problems and the central path *

The literature in the field of interior point methods for linear programming has been almost exclusively algorithm oriented. Recently Guler, Roos, Terlaky and Vial presented a complete duality theory for linear programming based on the interior point approach. In this paper we present a more simple approach which is based on an embedding of the primal problem and its dual into a skew symmetric self-dual problem. This embedding is essentially due Ye, Todd and Mizuno First we consider a skew symmetric self-dual linear program. We show that the strong duality theorem trivally holds in this case. Then, using the logarithmic barrier problem and the central path, the existence of a strictly complementary optimal solution is proved. Using the embedding just described, we easily obtain the strong duality theorem and the existence of strictly complementary optimal solutions for general linear programming problems
Discrete‐time reference governors and the nonlinear control of systems with state and control constraints

Discrete-time, linear control systems with specified pointwise-in-time constraints, such as those imposed by actuator saturation, are considered. The constraints are enforced by the addition of a nonlinear ‘reference governor’ that attenuates, when necessary, the input commands. Because the constraints are satisfied, the control system remains linear and undesirable response effects such as instability due to saturation are avoided. The nonlinear action of the reference governor is defined in terms of a finitely determined maximal output admissible set and can be implemented on-line for systems of moderately high order. The main result is global in nature: if the input command converges to a statically admissible input and the initial state of the system belongs to the maximal output admissible set, the eventual action of the reference governor is a unit delay.
Obesity and Preference-Weighted Quality of Life of Ethnically Diverse Middle School Children: The HEALTHY Study

To date, studies examining the relation between body mass index percentile (BMI%) categories and health-related quality of life (QOL) measurements have not reported preference-weighted scores among ethnically diverse children. We report the associations between BMI% categories and preference-weighted scores among a large cohort of ethnically diverse sixth grade children who participated in the HEALTHY school-based type 2 diabetes risk factor prevention study. Health Utility Index 2 (HUI2) and Health Utility Index 3 (HUI3) and the feeling thermometer (FT) were the preference-weighted QOL instruments used to measure student's preference scores. Of 6358 consented students, 4979 (78.3%) had complete QOL, height, weight, and covariate data. Mean (SD) preference scores were 0.846 (0.160), 0.796 (0.237), and 0.806 (0.161) for the HUI2, HUI3, and FT, respectively. After adjusting for age, sex, blood glucose and insulin, Tanner stage, race/ethnicity, family history of diabetes, and educational attainment, children with severe obesity (>99%) had significantly lower preference scores compared to normal weight on all three instruments (HUI2 P = 0.013; HUI3 P = 0.025; and FT P < 0.001). Obese and severe obese categories were significantly associated with lower HUI2 functional ratings in the mobility domain and with lower HUI3 functional ratings in the speech domain.