Dynamic spectrum access in heterogeneous unlicensed wireless networks

Existing wireless systems are normally regulated by a fixed spectrum assignment strategy. This policy leads to an undesirable situation that some systems may only use the allocated spectrum to a limited extent while others have very serious spectrum insufficiency situation. Dynamic Spectrum Access (DSA) is emerging as a promising technology to address this issue such that the unused licensed spectrum can be opportunistically accessed by the unlicensed users. To enable DSA, the unlicensed user shall have the capability of detecting the unoccupied spectrum, controlling its spectrum access in an adaptive manner, and coexisting with other unlicensed users automatically. In this article, we propose a radio system Transmission Opportunity-based spectrum access control protocol with the aim to improve spectrum access fairness and ensure safe coexistence of multiple heterogeneous unlicensed radio systems. In the scheme, multiple radio systems will coexist and dynamically use available free spectrum without interfering with licensed users. Simulation is carried out to evaluate the performance of the proposed scheme with respect to spectrum utilisation, fairness and scalability. Comparing with the existed studies, our strategy is able to achieve higher scalability and controllability without degrading spectrum utilisation and fairness performance.

A dynamic model of the hypoxia-inducible factor 1α (HIF-1α) network

Activation of the hypoxia-inducible factor (HIF) pathway is a critical step in the transcriptional response to hypoxia. Although many of the key proteins involved have been characterised, the dynamics of their interactions in generating this response remain unclear. In the present study, we have generated a comprehensive mathematical model of the HIF-1a pathway based on core validated components and dynamic experimental data, and confirm the previously described connections within the predicted network topology. Our model confirms previous work demonstrating that the steps leading to optimal HIF-1a transcriptional activity require sequential inhibition of both prolyl- and asparaginyl-hydroxylases. We predict from our model (and confirm experimentally) that there is residual activity of the asparaginyl-hydroxylase FIH (factor inhibiting HIF) at low oxygen tension. Furthermore, silencing FIH under conditions where prolyl-hydroxylases are inhibited results in increased HIF-1a transcriptional activity, but paradoxically decreases HIF-1a stability. Using a core module of the HIF network and mathematical proof supported by experimental data, we propose that asparaginyl hydroxylation confers a degree of resistance upon HIF-1a to proteosomal degradation. Thus, through in vitro experimental data and in silico predictions, we provide a comprehensive model of the dynamic regulation of HIF-1a transcriptional activity by hydroxylases and use its predictive and adaptive properties to explain counter-intuitive biological observations.

Fully probabilistic control for stochastic nonlinear control systems with input dependent noise

Robust controllers for nonlinear stochastic systems with functional uncertainties can be consistently designed using probabilistic control methods. In this paper a generalised probabilistic controller design for the minimisation of the Kullback-Leibler divergence between the actual joint probability density function (pdf) of the closed loop control system, and an ideal joint pdf is presented emphasising how the uncertainty can be systematically incorporated in the absence of reliable systems models. To achieve this objective all probabilistic models of the system are estimated from process data using mixture density networks (MDNs) where all the parameters of the estimated pdfs are taken to be state and control input dependent. Based on this dependency of the density parameters on the input values, explicit formulations to the construction of optimal generalised probabilistic controllers are obtained through the techniques of dynamic programming and adaptive critic methods. Using the proposed generalised probabilistic controller, the conditional joint pdfs can be made to follow the ideal ones. A simulation example is used to demonstrate the implementation of the algorithm and encouraging results are obtained.

General Regression Neuro–Fuzzy Network for Identification of Nonstationary Plants

General Regression Neuro-Fuzzy Network, which combines the properties of conventional General Regression Neural Network and Adaptive Network-based Fuzzy Inference System is proposed in this work. This network relates to so-called “memory-based networks”, which is adjusted by one-pass learning algorithm.

Introduction to the Maple Power Tool Intpakx

The paper has been presented at the 12th International Conference on Applications of Computer Algebra, Varna, Bulgaria, June, 2006

Achievable performance gain of IEEE 802.11 multi-rate link adaptation algorithm with cross-layer design

Link quality-based rate adaptation has been widely used for IEEE 802.11 networks. However, network performance is affected by both link quality and random channel access. Selection of transmit modes for optimal link throughput can cause medium access control (MAC) throughput loss. In this paper, we investigate this issue and propose a generalised cross-layer rate adaptation algorithm. It considers jointly link quality and channel access to optimise network throughput. The objective is to examine the potential benefits by cross-layer design. An efficient analytic model is proposed to evaluate rate adaptation algorithms under dynamic channel and multi-user access environments. The proposed algorithm is compared to link throughput optimisation-based algorithm. It is found rate adaptation by optimising link layer throughput can result in large performance loss, which cannot be compensated by the means of optimising MAC access mechanism alone. Results show cross-layer design can achieve consistent and considerable performance gains of up to 20%. It deserves to be exploited in practical design for IEEE 802.11 networks.

Dynamic Determination of Personalized Educational Paths

Report published in the Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, May, 2014

Scalable harmonization of complex networks with local controllers

Computational and communication complexities call for distributed, robust, and adaptive control. This paper proposes a promising way of bottom-up design of distributed control in which simple controllers are responsible for individual nodes. The overall behavior of the network can be achieved by interconnecting such controlled loops in cascade control for example and by enabling the individual nodes to share information about data with their neighbors without aiming at unattainable global solution. The problem is addressed by employing a fully probabilistic design, which can cope with inherent uncertainties, that can be implemented adaptively and which provide a systematic rich way to information sharing. This paper elaborates the overall solution, applies it to linear-Gaussian case, and provides simulation results.

World-Class Service

In the discussion - World-Class Service - by W. Gerald Glover, Associate Professor, Restaurant, Hotel and Resort Management at Appalachian State University and Germaine W. Shames, Hilton International, New York, Glover and Shames initially state: “Providing world-class service to today's traveler may be the key for hospitality managers in the current competitive market. Although an ideal, this type of service provides a mandate for culturally aware managers. The authors provide insight into several areas of cultures in collision.” Up to the time this essay is written, the authors point to a less-than-ideal level of service as being the standard in the hospitality industry and experience. “Let's face it - if we're ever to resurrect service, it will not be by going back to anything,” Glover and Shames exclaim. “Whatever it was we did back then has contributed to the dilemma in which we find ourselves today, handicapped by a reactive service culture in an age that calls for adaptiveness and global strategies,” the authors fortify that thought. In amplifying the concept of world-class service Glover and Shames elaborate: “World-class service is an ideal. Proactive and adaptive, world-class service feels equally right to the North American dignitary occupying the Presidential Suite, and the Japanese tourist staying in a standard room in the same hotel.” To bracket that model the authors offer: “At a minimum, it is service perceived by each customer as appropriate and adequate. At its best, it may also make the customer feel at home, among friends, or pampered. Finally, it is service as if culture matters,” Glover and Shames expand and capture the rule of world-class service. Glover and Shames consider the link between cultures and service an imperative one. They say it is a principle lost on most hospitality managers. “Most [managers] have received service management education in the people are people school that teaches us to disregard cultural differences and assume that everyone we manage or serve is pretty much like ourselves,” say Glover and Shames. “Is it any wonder that we persist in setting service standards, marketing services, and managing service staff not only as if culture didn't matter, but as if it didn't exist?!” To offer legitimacy to their effort Glover and Shames present the case of the Sun and Sea Hotel, a 500-room first class hotel located on the outskirts of the capital city of a small Caribbean island nation. It is a bit difficult to tell whether this is a dramatization or a reality. It does, however, serve to illustrate their point in regard to management’s cognizance, or lack thereof, of culture when it comes to cordial service and guest satisfaction. Even more apropos is the tale of the Palace Hotel, “…one of the grande dames of hospitality constructed in the boom years of the 1920s in a mid-sized Midwestern city in the United States.” The authors relate what transpired during its takeover in mid-1980 by a U.S.-based international hotel corporation. The story makes for an interesting and informative case study.

Identity as a moderator of guided -self change treatment outcomes with adolescents

Despite recent calls to examine the possible moderating effects of developmental variables on treatment outcomes with adolescents, most research has continued to focus on age as a main developmental variable. Building upon the theoretical notion that identity development is a central task of adolescence, this study investigated whether adolescents' response to an alcohol and other drug (AOD) use reduction intervention, Guided-Self Change (GSC), was influenced by their approach to self-defining questions and situations. While past research has established associations between maladaptive identity development and alcohol and other drug use, very little research attention has been given to the potential relationship that may exist between identity variables and AOD treatment response. Given GCS's promotion of self-reflective, self-exploring, and problem-focused coping skills as a way of addressing AOD problems, it was hypothesized that adolescents with positive identity development (i.e., greater identity coherence and adaptive identity processing styles) would respond more positively to GCS's change producing therapeutic techniques than their counterparts. This hypothesis was tested with an ethnically diverse sample of 134 adolescents between the ages of 14-18 years who were randomly assigned to either a GSC intervention or a comparison control group. Results revealed that identity development was significantly associated with AOD use, such that adolescents with diffused/avoidant styles and high levels of distress over identity-related issues used more alcohol at the baseline assessment than those with more positive identity development. Results also indicated that while identity distress or identity coherence did not moderate GSC treatment outcomes, high scores for a diffused/avoidant style did moderate treatment outcomes and thus proved to be a significant predictor of treatment response. These results indicate that identity development influences adolescents' alcohol use and that while use of certain approaches to self-defining questions does not predict treatment outcomes, high use for negative approaches does moderate intervention-related change. ^

Supporting Students with Intellectual Disabilities in Higher Education through Mentoring

Federal legislation is now making it possible for students with Intellectual Disabilities (ID) to enroll in university programs through inclusive transition models. The need for more knowledge in the workplace, in addition to newly acquired opportunities, draws students with ID to college campuses. With this increase of student in postsecondary education settings, it is necessary to examine the types of supports needed to ensure their success. Peer mentorship has been identified as a crucial aspect of support for academic and social development. This paper identifies the skills mentors use during their sessions and outlines challenges with mentoring partnerships in postsecondary transition programs. Data analysis revealed major themes related to inclusion, self-determination, and adaptive behavior skills.

Evaluating the Effectiveness of Discrete Trial Procedures for Teaching Receptive Discrimination to Children with Autism Spectrum Disorders

Research has found that children with autism spectrum disorders (ASD) show significant deficits in receptive language skills (Wiesmer, Lord, & Esler, 2010). One of the primary goals of applied behavior analytic intervention is to improve the communication skills of children with autism by teaching receptive discriminations. Both receptive discriminations and receptive language entail matching spoken words with corresponding objects, symbols (e.g., pictures or words), actions, people, and so on (Green, 2001). In order to develop receptive language skills, children with autism often undergo discrimination training within the context of discrete trial training. This training entails teaching the learner how to respond differentially to different stimuli (Green, 2001). It is through discrimination training that individuals with autism learn and develop language (Lovaas, 2003). The present study compares three procedures for teaching receptive discriminations: (1) simple/conditional (Procedure A), (2) conditional only (Procedure B), and (3) conditional discrimination of two target cards (Procedure C). Six children, ranging in age from 2-years-old to 5-years-old, with an autism diagnosis were taught how to receptively discriminate nine sets of stimuli. Results suggest that the extra training steps included in the simple/conditional and conditional only procedures may not be necessary to teach children with autism how to receptively discriminate. For all participants, Procedure C appeared to be the most efficient and effective procedure for teaching young children with autism receptive discriminations. Response maintenance and generalization probes conducted one-month following the end of training indicate that even though Procedure C resulted in less training sessions overall, no one procedure resulted in better maintenance and generalization than the others. In other words, more training sessions, as evident with the simple/conditional and conditional only procedures, did not facilitate participants’ ability to accurately respond or generalize one-month following training. The present study contributes to the literature on what is the most efficient and effective way to teach receptive discrimination during discrete trial training to children with ASD. These findings are critical as research shows that receptive language skills are predictive of better outcomes and adaptive behaviors in the future.

Biomechanical modeling of parotid glands morphing in head & neck radiation therapy treatments

Durante i trattamenti radioterapici dei pazienti oncologici testa-collo, le ghiandole parotidee (PGs) possono essere indebitamente irradiate a seguito di modificazioni volumetriche-spaziali inter/intra-frazione causate da fattori quali il dimagrimento, l’esposizione a radiazioni ionizzanti ed il morphing anatomico degli organi coinvolti nelle aree d’irraggiamento. Il presente lavoro svolto presso la struttura di Fisica Medica e di Radioterapia Oncologica dell’A.O.U di Modena, quale parte del progetto di ricerca del Ministero della Salute (MoH2010, GR-2010-2318757) “ Dose warping methods for IGRT and Adaptive RT: dose accumulation based on organ motion and anatomical variations of the patients during radiation therapy treatments ”, sviluppa un modello biomeccanico in grado di rappresentare il processo di deformazione delle PGs, considerandone la geometria, le proprietà elastiche e l'evoluzione durante il ciclo terapeutico. Il modello di deformazione d’organo è stato realizzato attraverso l’utilizzo di un software agli elementi finiti (FEM). Molteplici superfici mesh, rappresentanti la geometria e l’evoluzione delle parotidi durante le sedute di trattamento, sono state create a partire dai contorni dell’organo definiti dal medico radioterapista sull’immagine tomografica di pianificazione e generati automaticamente sulle immagini di setup e re-positioning giornaliere mediante algoritmi di registrazione rigida/deformabile. I constraints anatomici e il campo di forze del modello sono stati definiti sulla base di ipotesi semplificative considerando l’alterazione strutturale (perdita di cellule acinari) e le barriere anatomiche dovute a strutture circostanti. L’analisi delle mesh ha consentito di studiare la dinamica della deformazione e di individuare le regioni maggiormente soggette a cambiamento. Le previsioni di morphing prodotte dal modello proposto potrebbero essere integrate in un treatment planning system per metodiche di Adaptive Radiation Therapy.

Group Norms for Multi-Agent Organisations

Peer reviewed