An efficient scheme for the evaluation of coding performance of high speed links incorporating joint error behaviour based on Monte Carlo Method

While channel coding is a standard method of improving a system’s energy efficiency in digital communications, its practice does not extend to high-speed links. Increasing demands in network speeds are placing a large burden on the energy efficiency of high-speed links and render the benefit of channel coding for these systems a timely subject. The low error rates of interest and the presence of residual intersymbol interference (ISI) caused by hardware constraints impede the analysis and simulation of coded high-speed links. Focusing on the residual ISI and combined noise as the dominant error mechanisms, this paper analyses error correlation through concepts of error region, channel signature, and correlation distance. This framework provides a deeper insight into joint error behaviours in high-speed links, extends the range of statistical simulation for coded high-speed links, and provides a case against the use of biased Monte Carlo methods in this setting

Unconstrained Handwritten Malayalam Character Recognition using Wavelet Transform and Support vector Machine Classifier

This paper presents the application of wavelet processing in the domain of handwritten character recognition. To attain high recognition rate, robust feature extractors and powerful classifiers that are invariant to degree of variability of human writing are needed. The proposed scheme consists of two stages: a feature extraction stage, which is based on Haar wavelet transform and a classification stage that uses support vector machine classifier. Experimental results show that the proposed method is effective

An Improved Technique for Evolving Wavelet Coefficients for Fingerprint Image Compression

In this paper, an improved technique for evolving wavelet coefficients refined for compression and reconstruction of fingerprint images is presented. The FBI fingerprint compression standard [1, 2] uses the cdf 9/7 wavelet filter coefficients. Lifting scheme is an efficient way to represent classical wavelets with fewer filter coefficients [3, 4]. Here Genetic algorithm (GA) is used to evolve better lifting filter coefficients for cdf 9/7 wavelet to compress and reconstruct fingerprint images with better quality. Since the lifting filter coefficients are few in numbers compared to the corresponding classical wavelet filter coefficients, they are evolved at a faster rate using GA. A better reconstructed image quality in terms of Peak-Signal-to-Noise-Ratio (PSNR) is achieved with the best lifting filter coefficients evolved for a compression ratio 16:1. These evolved coefficients perform well for other compression ratios also.

Indian Law on Control of Vessel Sourced Pollution in Maritime Ports

Maritime ports are inevitable for India’s economic development. The very existence and sustainable development of ports depend on clean port environment. There is a notion that shipping is an over regulated industry. But in India, it is being operated under sub- standard conditions, raising crucial issues of environmental pollution in the country’s ports. The negative impacts of vessel sourced pollution on the eco-fragile coastal peninsula can be detrimental to the living conditions, health and interests of the coastal population. It can disturb marine life and imbalance the aquatic ecosystem. The present study analyses control of vessel sourced pollution in Indian ports from an economic and ecological perspective. The study investigates legal reasons behind the weak control, regulation and monitoring over vessel sourced pollution in Indian ports. The loopholes in the legal system are identified and suggestion made to implement stronger enforcement. Unless, vessel operations are properly regulated in ports, the trade and economic prospects of India will be jeopardized.

Praxisrelevante Auswirkungen des Vorschlages für eine EU-Verordnung KOM/2000/7/final, 2000/0212(COD) des europäischen Parlaments und des Rates von der Kommission der Europäischen Gemeinschaften auf die Verkehrsplanung des öffentlichen Personennahverkehrs

Die Arbeit behandelt den Vorschlag für eine EU-Verordnung KOM/2000/7/final, 2000/0212(COD) des europäischen Parlaments und des Rates von der Kommission der Europäischen Gemeinschaften als Grundlage einer Marktöffnungsverordnung und welche Veränderungen sich dadurch in Deutschland einstellen werden. Ausschreibungen von Verkehrsleistungen werden zunehmen. Die Ausschreibungsarten werden sich in ländlichen Regionen von denen in Verkehrszentren unterscheiden. In der Region werden sich Bedarfslösungen stärker durchsetzen. Kürzungen von Verkehrsleistungen werden hier stärker ausfallen als in den Zentren und damit zu einem kleineren Leistungsvolumen führen. Aufgrund des geringen Leistungsumfangs gibt es weniger Interessenten. Bei Standardausschreibungen werden deshalb auch häufig die Varianten der beschränkten oder die freihändige Vergabe gewählt. Funktionale Ausschreibungen haben nur eine untergeordnete Bedeutung. In den Verkehrszentren sind die Lose größer und damit für viele Anbieter interessant. Die Verkehrszusatzleistungen sind zudem komplexer. Standardausschreibungen in öffentlicher Vergabeart werden sich hier vermutlich als Norm durchsetzen. Die VOL/A wird sicherlich ihre Bedeutung und ihren dafür notwendigen Regelungsumfang in Deutschland als deutsches oder als europäisches Recht behalten. Ob der empfehlende Charakter der DIN EN 13816 Norm „ÖPNV: Definition, Festlegung von Leistungszielen und Messung der Servicequalität“ erhalten werden kann und nicht als Steuerungselement zur Standardisierung im ÖPNV beitragen wird, ist dabei zu bezweifeln. Durch diese Wettbewerbspflicht wird der Aufgabenträger zum Besteller von Verkehrsleistungen. Damit geht die Verkehrsplanung in die Verantwortung des Aufgabenträgers über und gerät stärker in den Einflussbereich der Politik. Die strategisch abstrakte und die konkrete Verkehrsplanung wachsen für den Normfall der Standardausschreibung zusammen. Die Hoffnung auf eine bessere Netzintegration und eine Standardisierung des ÖPNV Angebots und der ÖPNV Qualität entsteht. Es entwickelt sich dadurch aber auch die Gefahr der Abhängigkeit des Nahverkehrsangebots von der derzeitigen Haushaltslage oder der Interessenlage der Politik. Kontinuität in Angebot und Qualität werden zu erklärten Planungszielen. Der Verkehrsplaner auf der Bestellerseite muss die Planung in Ausschreibungsunterlagen umsetzen. Dies erfordert erweiterte Kompetenzen in den Bereichen Betriebswirtschaft, Logistik, Jura, Informatik und Führungskompetenzen. Ausbildende Institutionen müssen darauf bereits im Vorfeld der Umsetzung reagieren. Durch die zeitliche Verzögerung der Umsetzung der Planung durch die Ausschreibungsschritte sind in der Verkehrsplanung längere Planungsvorlaufzeiten einzukalkulieren. Vorausschauender zu planen, wird dabei wichtiger. Auch eventuelle Fehler in der Planung sind nicht mehr so einfach zu korrigieren. Durch den gestiegenen Einsatz von Technologien in den Fahrzeugen besteht für den Verkehrsplaner dafür häufiger die Möglichkeit, Planungsänderungen auf ihre Wirksamkeit im Hinblick auf Attraktivität für den Fahrgast anhand von den ermittelten Fahrgastzahlen zu kontrollieren. Dasselbe gilt auch für Marketing- und Vertriebsmaßnahmen, wie für die Tarifpolitik. Die Zahlen stehen nicht nur für diese Rückkopplung zur Verfügung, sondern dienen auch als Planungsgrundlage für zukünftige Maßnahmen. Dem Planer stehen konkretere Zahlen für die Planung zur Verfügung. Ein Aspekt, der aufgrund der Sanktionsmaßnahmen bei Ausschreibungen an Bedeutung gewinnen wird, ist die Möglichkeit, Qualität von Verkehrsleistungen möglichst objektiv beurteilen zu können. Praxisrelevante Auswirkungen auf die Verkehrsplanung des öffentlichen Personennahverkehrs ergeben sich hauptsächlich durch die gestiegene Komplexität in der Planung selbst und den dadurch unverzichtbaren gewordenen Einsatz von Computerunterstützung. Die Umsetzung in Ausschreibungsunterlagen der Planung und die Kontrolle stellen neue Elemente im Aufgabenbereich des Verkehrsplaners dar und erfordern damit breiter ausgelegte Kernkompetenzen. Es werden mehr Verkehrsplaner mit breiterer Ausbildung benötigt werden. Diese Arbeit hat aufgezeigt, dass sich mit der Integration des Ausschreibungsgedankens in den Ablauf der Verkehrsplanung eine sprunghafte Entwicklung in der Planungstätigkeit ergeben wird. Aufgrund der in Zukunft steigenden Qualität und Quantität der Planungsgrundlagen und der ebenfalls gestiegenen Ansprüche an die Bewertungsparameter ergeben sich Veränderungen und neue Anforderungen auf diesem Gebiet, die in erster Linie für die Hochschulen und andere ausbildende Einrichtungen, aber auch für die Verkehrsplanung unterstützende Industrie.

Smallholder group certification in Uganda - Analysis of internal control systems in two organic export companies

The organic agricultural sector of Uganda is among the most developed in Africa in terms of its professional institutional network and high growth rates of number of certified farmers and land area. Smallholder farmers are certified organic through contract production for export companies using a group certification scheme (internal control system - ICS). The ICS is a viable and well-accepted tool to certify small-scale producers in developing countries all over the world. Difficulties in certification are still stated to be among the main constraints for Uganda’s organic sector development. Therefore, this paper reports a qualitative case study comprising 34 expert interviews in two organic fresh-produce export companies in central Uganda, aiming to explore the challenges which underlie organic certification with ICS. The study shows that farmers cannot be labelled as ‘organic by default’ but deliberately engage in organic production as a marketing strategy. The small quantities purchased by the organic companies lead to a difficult marketing situation for the farmers, causing production and infiltration risks on the farm level. These risks require increased control that challenges the companies organizationally. The risks and control needs are a reason to involve farmers in ICS procedures and innovatively adapt the ICS by means of a bypass around formal perspective restrictions. The paper discusses different perspectives on risks, risk control and certification.

Hybrid optimization schemes for quantum control

Optimal control theory is a powerful tool for solving control problems in quantum mechanics, ranging from the control of chemical reactions to the implementation of gates in a quantum computer. Gradient-based optimization methods are able to find high fidelity controls, but require considerable numerical effort and often yield highly complex solutions. We propose here to employ a two-stage optimization scheme to significantly speed up convergence and achieve simpler controls. The control is initially parametrized using only a few free parameters, such that optimization in this pruned search space can be performed with a simplex method. The result, considered now simply as an arbitrary function on a time grid, is the starting point for further optimization with a gradient-based method that can quickly converge to high fidelities. We illustrate the success of this hybrid technique by optimizing a geometric phase gate for two superconducting transmon qubits coupled with a shared transmission line resonator, showing that a combination of Nelder-Mead simplex and Krotov’s method yields considerably better results than either one of the two methods alone.

Modeling Robot Dynamic Performance for Endpoint Force Control

This research aims to understand the fundamental dynamic behavior of servo-controlled machinery in response to various types of sensory feedback. As an example of such a system, we study robot force control, a scheme which promises to greatly expand the capabilities of industrial robots by allowing manipulators to interact with uncertain and dynamic tasks. Dynamic models are developed which allow the effects of actuator dynamics, structural flexibility, and workpiece interaction to be explored in the frequency and time domains. The models are used first to explain the causes of robot force control instability, and then to find methods of improving this performance.

Modeling, Estimation, and Control of Robot-Soil Interactions

This thesis presents the development of hardware, theory, and experimental methods to enable a robotic manipulator arm to interact with soils and estimate soil properties from interaction forces. Unlike the majority of robotic systems interacting with soil, our objective is parameter estimation, not excavation. To this end, we design our manipulator with a flat plate for easy modeling of interactions. By using a flat plate, we take advantage of the wealth of research on the similar problem of earth pressure on retaining walls. There are a number of existing earth pressure models. These models typically provide estimates of force which are in uncertain relation to the true force. A recent technique, known as numerical limit analysis, provides upper and lower bounds on the true force. Predictions from the numerical limit analysis technique are shown to be in good agreement with other accepted models. Experimental methods for plate insertion, soil-tool interface friction estimation, and control of applied forces on the soil are presented. In addition, a novel graphical technique for inverting the soil models is developed, which is an improvement over standard nonlinear optimization. This graphical technique utilizes the uncertainties associated with each set of force measurements to obtain all possible parameters which could have produced the measured forces. The system is tested on three cohesionless soils, two in a loose state and one in a loose and dense state. The results are compared with friction angles obtained from direct shear tests. The results highlight a number of key points. Common assumptions are made in soil modeling. Most notably, the Mohr-Coulomb failure law and perfectly plastic behavior. In the direct shear tests, a marked dependence of friction angle on the normal stress at low stresses is found. This has ramifications for any study of friction done at low stresses. In addition, gradual failures are often observed for vertical tools and tools inclined away from the direction of motion. After accounting for the change in friction angle at low stresses, the results show good agreement with the direct shear values.

Notes on PCA, Regularization, Sparsity and Support Vector Machines

We derive a new representation for a function as a linear combination of local correlation kernels at optimal sparse locations and discuss its relation to PCA, regularization, sparsity principles and Support Vector Machines. We first review previous results for the approximation of a function from discrete data (Girosi, 1998) in the context of Vapnik"s feature space and dual representation (Vapnik, 1995). We apply them to show 1) that a standard regularization functional with a stabilizer defined in terms of the correlation function induces a regression function in the span of the feature space of classical Principal Components and 2) that there exist a dual representations of the regression function in terms of a regularization network with a kernel equal to a generalized correlation function. We then describe the main observation of the paper: the dual representation in terms of the correlation function can be sparsified using the Support Vector Machines (Vapnik, 1982) technique and this operation is equivalent to sparsify a large dictionary of basis functions adapted to the task, using a variation of Basis Pursuit De-Noising (Chen, Donoho and Saunders, 1995; see also related work by Donahue and Geiger, 1994; Olshausen and Field, 1995; Lewicki and Sejnowski, 1998). In addition to extending the close relations between regularization, Support Vector Machines and sparsity, our work also illuminates and formalizes the LFA concept of Penev and Atick (1996). We discuss the relation between our results, which are about regression, and the different problem of pattern classification.

Support Vector Machines: Training and Applications

The Support Vector Machine (SVM) is a new and very promising classification technique developed by Vapnik and his group at AT&T Bell Labs. This new learning algorithm can be seen as an alternative training technique for Polynomial, Radial Basis Function and Multi-Layer Perceptron classifiers. An interesting property of this approach is that it is an approximate implementation of the Structural Risk Minimization (SRM) induction principle. The derivation of Support Vector Machines, its relationship with SRM, and its geometrical insight, are discussed in this paper. Training a SVM is equivalent to solve a quadratic programming problem with linear and box constraints in a number of variables equal to the number of data points. When the number of data points exceeds few thousands the problem is very challenging, because the quadratic form is completely dense, so the memory needed to store the problem grows with the square of the number of data points. Therefore, training problems arising in some real applications with large data sets are impossible to load into memory, and cannot be solved using standard non-linear constrained optimization algorithms. We present a decomposition algorithm that can be used to train SVM's over large data sets. The main idea behind the decomposition is the iterative solution of sub-problems and the evaluation of, and also establish the stopping criteria for the algorithm. We present previous approaches, as well as results and important details of our implementation of the algorithm using a second-order variant of the Reduced Gradient Method as the solver of the sub-problems. As an application of SVM's, we present preliminary results we obtained applying SVM to the problem of detecting frontal human faces in real images.

Markov Process Modeling of A System Under WIPLOAD Control

This paper analyzes a proposed release controlmethodology, WIPLOAD Control (WIPLCtrl), using a transfer line case modeled by Markov process modeling methodology. The performance of WIPLCtrl is compared with that of CONWIP under 13 system configurations in terms of throughput, average inventory level, as well as average cycle time. As a supplement to the analytical model, a simulation model of the transfer line is used to observe the performance of the release control methodologies on the standard deviation of cycle time. From the analysis, we identify the system configurations in which the advantages of WIPLCtrl could be observed.

A behavior-based scheme using reinforcement learning for autonomous underwater vehicles

This paper presents a hybrid behavior-based scheme using reinforcement learning for high-level control of autonomous underwater vehicles (AUVs). Two main features of the presented approach are hybrid behavior coordination and semi on-line neural-Q_learning (SONQL). Hybrid behavior coordination takes advantages of robustness and modularity in the competitive approach as well as efficient trajectories in the cooperative approach. SONQL, a new continuous approach of the Q_learning algorithm with a multilayer neural network is used to learn behavior state/action mapping online. Experimental results show the feasibility of the presented approach for AUVs

Determinación de los efectos en la salud de los trabajadores del programa de control de vectores expuestos laboralmente a organoclorados en tres departamentos de Colombia 2013

Objetivo: Evaluar la exposición a plaguicidas organoclorados empleados en salud publica en la población trabajadora del programa de control de vectores en tres regiones de Colombia en 2013. Métodos: Se realizó un estudio descriptivo de corte transversal en el grupo de trabajadores del programa de control de enfermedades transmitidas por vectores -ETV- (coordinadores, técnicos, entomólogos, técnicos y auxiliares) de los departamentos de Meta, Nariño y Risaralda. A todos los participantes se les realizó una entrevista en la cual se recogió, mediante cuestionario, información de las tres variables de muestreo: sociodemográficas, ocupacionales, clínicas y toxicológicas. Se determinaron los niveles de 13 organoclorados en suero mediante cromatografía de gases en el Instituto Nacional de Salud. Se llevó a cabo un análisis descriptivo y se llevo a cabo un análisis para determinar la distribución de medias entre variables de exposición ocupacional (Ji2 para cualitativas y U de Mann-Whitney para cuantitativas). Posteriormente, se llevó a cabo un análisis multivariado para estimar la asociación controlando por variables de antigüedad, exposición laboral a organoclorados. Resultados: El reporte de manipulación de insecticidas organoclorados fue del 39,1%. El 100% de los trabajadores que usaron organoclorados refirieron el uso DDT. El 7,5% (n=3) refirieron el uso de Aldrin. Los organoclorados fueron hexaclorbenceno, hexaclorocicloexano, heptacloro, heptaclorepoxi, α-Clordano, 4,4-DDT, 4,4-DDE, β -endosulfan, 2,4- DDT, endosulfan sulfato y mirex. Los organoclorados con niveles pico más altos fueron β-HCH, 4,4- DDT y α –HCH. Los síntomas de mayor presentación fueron: cefalea 28,7%, mareo 29,9%, disminución de fuerza en MMSS 17,2% y síntomas neurosiquiátricos.

Modelling, control and supervision for a class of hybrid systems

The aim of this thesis is to narrow the gap between two different control techniques: the continuous control and the discrete event control techniques DES. This gap can be reduced by the study of Hybrid systems, and by interpreting as Hybrid systems the majority of large-scale systems. In particular, when looking deeply into a process, it is often possible to identify interaction between discrete and continuous signals. Hybrid systems are systems that have both continuous, and discrete signals. Continuous signals are generally supposed continuous and differentiable in time, since discrete signals are neither continuous nor differentiable in time due to their abrupt changes in time. Continuous signals often represent the measure of natural physical magnitudes such as temperature, pressure etc. The discrete signals are normally artificial signals, operated by human artefacts as current, voltage, light etc. Typical processes modelled as Hybrid systems are production systems, chemical process, or continuos production when time and continuous measures interacts with the transport, and stock inventory system. Complex systems as manufacturing lines are hybrid in a global sense. They can be decomposed into several subsystems, and their links. Another motivation for the study of Hybrid systems is the tools developed by other research domains. These tools benefit from the use of temporal logic for the analysis of several properties of Hybrid systems model, and use it to design systems and controllers, which satisfies physical or imposed restrictions. This thesis is focused in particular types of systems with discrete and continuous signals in interaction. That can be modelled hard non-linealities, such as hysteresis, jumps in the state, limit cycles, etc. and their possible non-deterministic future behaviour expressed by an interpretable model description. The Hybrid systems treated in this work are systems with several discrete states, always less than thirty states (it can arrive to NP hard problem), and continuous dynamics evolving with expression: with Ki ¡ Rn constant vectors or matrices for X components vector. In several states the continuous evolution can be several of them Ki = 0. In this formulation, the mathematics can express Time invariant linear system. By the use of this expression for a local part, the combination of several local linear models is possible to represent non-linear systems. And with the interaction with discrete events of the system the model can compose non-linear Hybrid systems. Especially multistage processes with high continuous dynamics are well represented by the proposed methodology. Sate vectors with more than two components, as third order models or higher is well approximated by the proposed approximation. Flexible belt transmission, chemical reactions with initial start-up and mobile robots with important friction are several physical systems, which profits from the benefits of proposed methodology (accuracy). The motivation of this thesis is to obtain a solution that can control and drive the Hybrid systems from the origin or starting point to the goal. How to obtain this solution, and which is the best solution in terms of one cost function subject to the physical restrictions and control actions is analysed. Hybrid systems that have several possible states, different ways to drive the system to the goal and different continuous control signals are problems that motivate this research. The requirements of the system on which we work is: a model that can represent the behaviour of the non-linear systems, and that possibilities the prediction of possible future behaviour for the model, in order to apply an supervisor which decides the optimal and secure action to drive the system toward the goal. Specific problems can be determined by the use of this kind of hybrid models are: - The unity of order. - Control the system along a reachable path. - Control the system in a safe path. - Optimise the cost function. - Modularity of control The proposed model solves the specified problems in the switching models problem, the initial condition calculus and the unity of the order models. Continuous and discrete phenomena are represented in Linear hybrid models, defined with defined eighth-tuple parameters to model different types of hybrid phenomena. Applying a transformation over the state vector : for LTI system we obtain from a two-dimensional SS a single parameter, alpha, which still maintains the dynamical information. Combining this parameter with the system output, a complete description of the system is obtained in a form of a graph in polar representation. Using Tagaki-Sugeno type III is a fuzzy model which include linear time invariant LTI models for each local model, the fuzzyfication of different LTI local model gives as a result a non-linear time invariant model. In our case the output and the alpha measure govern the membership function. Hybrid systems control is a huge task, the processes need to be guided from the Starting point to the desired End point, passing a through of different specific states and points in the trajectory. The system can be structured in different levels of abstraction and the control in three layers for the Hybrid systems from planning the process to produce the actions, these are the planning, the process and control layer. In this case the algorithms will be applied to robotics ¡V a domain where improvements are well accepted ¡V it is expected to find a simple repetitive processes for which the extra effort in complexity can be compensated by some cost reductions. It may be also interesting to implement some control optimisation to processes such as fuel injection, DC-DC converters etc. In order to apply the RW theory of discrete event systems on a Hybrid system, we must abstract the continuous signals and to project the events generated for these signals, to obtain new sets of observable and controllable events. Ramadge & Wonham¡¦s theory along with the TCT software give a Controllable Sublanguage of the legal language generated for a Discrete Event System (DES). Continuous abstraction transforms predicates over continuous variables into controllable or uncontrollable events, and modifies the set of uncontrollable, controllable observable and unobservable events. Continuous signals produce into the system virtual events, when this crosses the bound limits. If this event is deterministic, they can be projected. It is necessary to determine the controllability of this event, in order to assign this to the corresponding set, , controllable, uncontrollable, observable and unobservable set of events. Find optimal trajectories in order to minimise some cost function is the goal of the modelling procedure. Mathematical model for the system allows the user to apply mathematical techniques over this expression. These possibilities are, to minimise a specific cost function, to obtain optimal controllers and to approximate a specific trajectory. The combination of the Dynamic Programming with Bellman Principle of optimality, give us the procedure to solve the minimum time trajectory for Hybrid systems. The problem is greater when there exists interaction between adjacent states. In Hybrid systems the problem is to determine the partial set points to be applied at the local models. Optimal controller can be implemented in each local model in order to assure the minimisation of the local costs. The solution of this problem needs to give us the trajectory to follow the system. Trajectory marked by a set of set points to force the system to passing over them. Several ways are possible to drive the system from the Starting point Xi to the End point Xf. Different ways are interesting in: dynamic sense, minimum states, approximation at set points, etc. These ways need to be safe and viable and RchW. And only one of them must to be applied, normally the best, which minimises the proposed cost function. A Reachable Way, this means the controllable way and safe, will be evaluated in order to obtain which one minimises the cost function. Contribution of this work is a complete framework to work with the majority Hybrid systems, the procedures to model, control and supervise are defined and explained and its use is demonstrated. Also explained is the procedure to model the systems to be analysed for automatic verification. Great improvements were obtained by using this methodology in comparison to using other piecewise linear approximations. It is demonstrated in particular cases this methodology can provide best approximation. The most important contribution of this work, is the Alpha approximation for non-linear systems with high dynamics While this kind of process is not typical, but in this case the Alpha approximation is the best linear approximation to use, and give a compact representation.