Miracle-dz/UniFAR-FTUs huggingface dataset:
Disturbance Observer-Based Control: Methods and Applications

Due to its abilities to compensate disturbances and uncertainties, disturbance observer based control (DOBC) is regarded as one of the most promising approaches for disturbance-attenuation. One of the first books on DOBC, Disturbance Observer Based Control: Methods and Applications presents novel theory results as well as best practices for applications in motion and process control that have already benefited numerous organizations.Supplying authoritative guidance in the areas of disturbance estimation and compensation for practical engineering systems, the book includes coverage of theoretic methods and practical applications of disturbance estimation and compensation for control systems through a DOBC approach. It considers applications in flight control systems, motion control systems, and process control systems. Supplies an authoritative overview of disturbance observer based control approaches Reports on recent developments in disturbance estimation techniques Considers matched and mismatched disturbance/uncertainty attenuation for DOBC Illustrates applications of the methods covered with detailed engineering case studies Filled with valuable insights gathered over decades of research by the authors, this book provides time- and stress-saving guidance for anyone interested in the theory and method research of DOBC. Using typical engineering examples, the text provides readers with an understanding of recent developments in DOBC as well as the tools required to make the most of this promising approach to disturbance-attenuation.
Enabling the wireless revolution

How the information age will 'come of age' globally through the wireless revolution and the convergence of communications and computing, driven by digital microelectronics technology is discussed. Innovative communications networks, such as Motorola's Iridium system, are used as examples of the maturation of this revolution. The increasingly important role of semiconductors as the enabling technology platform-including microprocessors, RF, unique combinational technologies and low-power are explored, as are distinctive competencies in their design and manufacturing. Finally, the impact on the world's environment and improvement in the quality of peopole's lifestyles of this wireless revolution is highlighted. <<ETX>>
Vehicle Avoidance Reaction By Two Step Motion Flow Cluster

Presently we have seen the road accidents in every day. Automobile manufacturers then have created a system that aims to reduce and prevent such accidents. The most popular ones include intelligent collision warning system and intelligent braking system. However, such systems are not able to cover every case and could even cause more accidents. Interactive accident avoidance system with 2 steps movement detection is therefore a recommended method to reduce and prevent accidents with more efficiency. This study focuses on the feature of this system, which is forward movement detection and automatic obstacles avoidance. With this, external environment will be distinguished from object movement before calculating the duration that the vehicle would possibly hit the object. This duration will then be grouped, and the clustering data will be used for vehicle control i.e. to turn left, right, or stop. Finally, to show the effectiveness of our designed approach, we have used the computer simulation to show the results of our proposed method.
Sustainable logistics in practice

Improved logistical performance is one of the tools to mitigate greenhouse gases emissions from freight transport. The production company and transportation company should find the practice to decrease the emissions from their activity in distributions of goods. In this thesis, the sustainable logistics in practice in focal company (Ekornes) is studied. The potential improvement in relation to sustainable transportation principle is explained. Through qualitative method research, the theory related to the sustainable logistic and the findings on logistic practice in Ekornes is discussed. It is found that Ekornes is lack of environmental factors in the contract with third party logistic (3PL) providers. Ekornes indicates the positive response to the pressure to implement the environmental concept on their operational strategy. Key Words: sustainable freight transport, qualititative method research, environmental concept on operational strategy.
Mathematical Formula of Performance of Watermarking System with Repetition of Bits of Watermark

The performance of a watermarking system depends on all of its factors, such as watermark embedding strength, size of watermark and repetition of watermark bits. In this paper, a mathematical formula is designed, that governs the relation of performance of watermarking system with amount of the repetition of watermark bits. Performance of the watermarking system is measured by using the extracted watermark bit accuracy rate. The designed formula is verified experimentally. A spatial domain watermarking scheme is used for experimental verification. Further, verification is done for different kind of attacks such as cropping, Gaussian filter, Gaussian noise and salt & pepper noise. Accuracy rate by using the mathematical formula and experimental observations are very near. This supports that the designed mathematical formula is reliable.
RTL Test Generation on Multi-core and Many-Core Architectures

Design Verification of complex circuits has become an increasingly time-consuming process. The advent of parallel computing using General Purpose Graphics Processing Units (GPGPUs) has led to enhanced performance for various applications. We propose to leverage both the multi-core CPU and the GPGPU for RTL test generation. This is achieved by implementing a test generation framework that can utilize the SIMD type parallelism available in GPGPUs and task level parallelism available on CPUs. Not all applications can be made parallel due to complex dependencies, making parallelism non-trivial. Besides, large memory bandwidth requirements can become a bottleneck hindering potential speedups. In this paper, we have ported an RTL branch coverage based test generation framework to work within the constraints of a GPGPU environment. Experimental results show that considerable speedup can be achieved for test generation without loss of coverage.
Research on Dynamic Model of Interorganizational Information System Diffusion Based on System Dynamics

The diffusion of interorganizational information system is a dynamic process. Studying the dynamic changes of IOIS from a macro perspective can not only promote the further spread of IOIS, but also have guiding significance for enterprises to adopt IOIS. We used the system dynamics method to construct the dynamic model of IOIS diffusion, used the sensitivity analysis method to carry out the model test, and selected Vensim to carry out the system simulation for the model. The simulation results shown that government policy support and guidance, bank loan ability, impact of adoption organizations, university(scientific research institution)support and support of software companies have different degrees of influence on IOIS diffusion.
Iswec: A Gyroscopic Wave Energy Converter

Wave Power: how to produce clean electric energy from sea waves. Thousands of patents have been filed, hundreds of devices have been studied and tested in labs and tens of prototypes of Wave Energy Converters (WECs) have been deployed to the sea successfully harvesting wave power. The main research work has been carried out for the oceans, the most relevant source of wave energy. Closed seas, like the Mediterranean Sea, have smaller energy availability, but they have a particular feature: short waves. Short waves have higher frequency and can activate a WEC in a very effective way. For instance a WEC carrying a gyroscope-based energy conversion system harvests power proportionally to the square of the wave frequency. Gyroscopic effects can keep a spinning top in a quasi vertical position, guide airplanes, stabilize ships and, with some different architecture and strategy, harvest energy from sea waves!
Inventory Management System Development in a Flexible Printed Circuit Board Manufacturer

This research attempted to develop an inventory management system for a flexible printed circuit board manufacturer in Thailand. The development began with an investigation of the existing inventory system, which found that the system was quite ineffective causing companies to face serious problems particularly an excessive inventory. The ABC analysis using a multiple criteria inventory classification for the inventory control system was initially applied to identify the most important items. Twenty-seven items were selected to demonstrate the mechanism of the new proposed system. The main objectives are to focus the efficient forecasting technique under stochastic demand and the introduction of fixed replenishment quantity policy to reduce the overall inventory related cost. (R,Q) policy is applied on the forecast demands using the seasonal naive, holt-winters exponential smoothing, autoregressive integrated moving average and afterwards a comparative analysis is conducted on assessing the accuracy of forecasts of demand forecasting technique, it is conventional to use the mean absolute percentage error (MAPE). In the implementation process, the proposed system was compared with the current system. The study showed that total savings from implementing the (R,Q) policy to all materials approximately 262.03 million baht of the total inventory cost.
Enterprise Security with EJB and CORBA

From the Publisher: Building secure applications using the most popular component technologies Did you know that most corporate computer security breaches are inside jobs by trusted employees? This book addresses the need in the era of multi-tier systems to implement security solutions across all enterprise applications, not just firewalls that target intrusion from the outside. With nationally recognized CORBA security expert Bret Hartman at the helm, this book shows application developers how to build secure, real-world applications that deliver tightly integrated security at all system levels using the latest component technologies and tools. Coverage also includes a sample e-commerce system built using Java with EJB and CORBA as well as case studies of implementations in finance, manufacturing, and telecom.
An End-to-End Human-Centered Automation of a Collaborative Analysis Platform

Interactive machine learning (iML) integrates human insight into automated analysis to facilitate advanced knowledge discovery. However, state of the art in iML techniques face two significant difficulties, which hinder an end-to-end automation in such integration. One difficulty is to address different analysis requirements of individuals (i.e., users); another difficulty is to handle various experience levels of the users. These difficulties become profound in collaborative analysis, in which users work together for knowledge discovery. To overcome these difficulties, we present a novel iML scheme of adapting automated analysis workflows to user interactions. This scheme models the priority of tasks, which constitute an automated workflow. Taking account of the users' analysis objectives, the modelling incorporates implicitly their requirements based on their past and current interactions with task outputs. Moreover, the modelling exploits collective knowledge within user groups as well as document databases to map task relevance to the objectives. This human-centered modeling ensures that no explicit user intervention is necessary to adapt the workflows. Furthermore, the degree of the adaptation incorporates varying experience levels of the users, which is deduced from their interactions. Thus, our iML scheme enables an end-to-end automation of analysis workflows. For a preliminary assessment of the scheme, we have designed an emulator of user interactions to generate various scenarios of collaborative analysis. We observed that the scheme exhibited desired adaptation to varying user interactions. The adaptation took a short computation time to ensure the targeted end-to-end automation. These findings show the potential of deploying the proposed fully automated iML scheme in practice.
Industry Classification: Review, Hurdles and Methodologies

The goal of the paper was to develop a methodology for assigning companies into industries. In the first section we emphasize the importance of industry classification on research and for the practitioners. Review the literature in second section, it seems hard to believe, that industry classification does not affected the results of number of researches. The third section of the paper is devoted to the actual model of industry assignment. The model utilizes the approach of Bernstein - Clearwater - Provost (2003). The relationships between market entities were defined as stock return co-movements, thus our methodology was slightly different. The fourth section is a case study, where we employed the model to re-classify S&P 500 companies into GICS. The concordance between our approach and GICS was only slightly higher than 50%, for both scoring functions.
5GHz CMOS Resonant Clock Buffer with Quadrature Generation for Fiber Optic Applications

Clock buffers constitute a major source of power dissipation in VLSI circuits. In CMOS the load is primarily capacitive and hence an inductive shunt can reduce real power needs. This almost-adiabatic topology is referred to as a resonant buffer. Two resonant buffers can be actively controlled by additional variable capacitance, to deliver quadrature signals from a single incoming clock. The cost of this quadrature generation is added complexity of control algorithm and the advantage is 85% less power than alternate methods. This topology is used to create quadrature signals and drive the clock inputs of a bang-bang half-rate phase detector in a 10GBit/sec Clock and Data Recovery Circuit. The 0.13um CMOS implementation shows significant power savings. A useful closed form expression for jitter transfer characteristic of generic linear-time-invariant filters is derived and applied to the proposed buffer to show it can be transparently integrated in existing CDR architectures. The work for this thesis was conducted in part at Analog Devices Inc. . VI-A Company Thesis Supervisor: Lawrence De Vito Title: Fellow, Analog Devices Inc. Thesis Supervisor: Anantha P. Chandrakasan Title: Professor, Microsystem Technology Laboratories
Cases to Accompany Contemporary Strategy Analysis

Madonna -- Laura Ashley Holdings plc : the battle for survival -- The US airline industry in 2007 -- Ford and the world automobile industry in 2007 -- Wal-Mart stores inc., 2007 -- Manchester United : the Glaser takeover -- Eastman Kodak : meeting the digital challenge -- Organizational restructuring within the Royal Dutch/Shell Group -- Harley-Davidson, Inc., 2007 -- Raisio and the launch of Benecol Margarine [A] and [B] -- Rivalry in video games : Sony vs. Microsoft -- Eni spa : building an international energy major -- Birds Eye and the UK frozen food industry -- Outback Steakhouse : going international -- Euro Disney : from dream to nightmare, 1987-94 -- Richard Branson and the Virgin Group of companies in 2004 -- Jack Welch and the General Electric management system -- Jeff Immelt at General Electric, 2001-06 -- AES Corporation : rewriting the rules of management.
An empirical study of predicting car type choice in Sweden using cross-validation and feature-selection

In this paper we analyze the prediction problem and focus on building a multinomial logit model (MNL) to predict accurately, the market shares of new cars in the Swedish car fleet in the short-term future. Also, we investigate whether or not different prediction questions lead to different 'best' models specifications. Most of the studies in the field, take an inference-driven approach to select best models to estimate relevant parameters and project the results to the future, whereas we do take a prediction-driven approach. We use feature (variable) selection and cross-validation algorithms to improve predictive performance of models. These methods have been extensively used in other fields such as marketing but are scarce studies employing them in the choice modeling field. Additionally, we introduce four different prediction questions or loss-functions: overall prediction (log-likelihood), brand market share, ethanol (E85)/brand market share, and total share of ethanol cars and the predicted results of these models are compared. The results show that 'best' models prediction depend different prediction questions to answer. Also, they indicate that log-likelihood does not perform accurately when the objective is to predict a sub-section of population such as total share of E85 cars.
Design and Control of an EMG-based Low-cost Exoskeleton for Stroke Rehabilitation**This work was supported by Institute grants through the Robotics and Machine Intelligence Club, NIT Tiruchirappalli, INDIA

Rehabilitation of patients who have recovered from a stroke is a tedious and difficult process, involving a very long recovery time for the patient. Therapists guide patients to do a series of exercises or tasks, for short but intensive sessions. Passive exoskeletons are often used to keep track of the patient's progress digitally, along with therapist supervision. In any case, it is an expensive and slow process, since the sessions are very short, and trained manpower is required. In this paper, we present the design and control of an active upper limb exoskeleton to address these issues. The exoskeleton is controlled using the EMG signals from the muscle groups involved in the motion, and provides physical assistance to the desired motion. Patients with very limited ability can use preset functions in the exoskeleton, and once they have gained enough muscle strength, they can begin to use the EMG based control. Wearing it over the entire course of the day can perform a dual function of assisting them in their day to day tasks, and performing therapy at the same time. The design of a 1-DoF active exoskeleton, its control, and various modes of operation are presented. The use of EMG signals for control of the exoskeleton is found to be a better option compared to the existing methods.
Association Between Commuting Time and Sickness Absence in the Context of China: Transmission Channels and Heterogeneous Effects

Background: Most of employees in urban China have experienced a heavy commuting burden，which has become an urgent issue that should be solved in the process of new urbanization strategy. However, not only has the exploration of relationship between the commuting and sickness absence been still scant in China, but also there is no discussion made to analyze the mechanism linking the commuting time and sickness absence. To address these gaps, this study firstly investigates the commuting-absence linkage as well as the potential transmission channel between them.Methods: Using a unique dataset of 2013 Matched Employer-Employee Survey (CMEES) in China, current study apply the zero-inflated negative binomial model to explore the association.Results: Long commute is significantly related with increased sickness absence. A longer commuting is associated with poorer self-rated health status and a higher degree of psychological depression, and it also is highly related with an increase of their BMI index, annual medical expenses as well as the risk of obesity. However, the commuting is not correlated with the overtime length and probability of overtime. Conclusion: The longer commute induces to lower productivities through the increased sickness absence, and the potential linkage of commute-sickness absence is mainly transmitted through their health-related outcomes.
Ideophones (Oxford Handbook of Word Classes)

Many of the world’s languages feature an open lexical class of ideophones, words whose marked forms and sensory meanings invite iconic associations. Ideophones (also known as mimetics or expressives) are well-known from languages in Asia, Africa and the Americas, where they often form a class on the same order of magnitude as other major word classes and take up a considerable functional load as modifying expressions or predicates. Across languages, commonalities in the morphosyntactic behaviour of ideophones can be related to their nature and origin as vocal depictions. At the same time there is ample room for linguistic diversity, raising the need for fine-grained grammatical description of ideophone systems. As vocal depictions, ideophones often form a distinct lexical stratum seemingly conjured out of thin air; but as conventionalized words, they inevitably grow roots in local linguistic systems, showing relations to adverbs, adjectives, verbs and other linguistic resources devoted to modification and predication. Cite as: Dingemanse, Mark (to appear) Ideophones. The Oxford Handbook of Word Classes, ed. Eva van Lier. Oxford: Oxford University Press. | Preprint doi: 10.31234/osf.io/u96zt
MODERN ASPECTS OF APPLICATION OF OSTEOPLASTIC MATERIALS IN DENTAL SURGERY

Modern surgical dentistry has an acute problem of bone tissue regeneration. Inflammatory, traumatic diseases and extraction procedures lead to bone deficiency. Physiological regeneration often does not give the desired volume of new bone. Local bone deficiency makes it difficult to perform dental implantation. Means stimulating osteogenesis, different in structure, have different properties. There are various groups of materials for osteoregeneration, these are: autogenous, allogeneic, xenogenic and synthetic materials. Osteoinductive potential, osteoconductive properties and tolerance by the tissues of the receiving bed in groups are expressed differently. It is necessary to take into account not only their composition, dispersion and quality characteristics, but also the state of the receiving bed (the nature of the damage, the size of the formation, the density of the surrounding bone defect), that is, to take into account the characteristics of a particular patient and conduct individual selection of the stimulator of osteoregeneration in accordance with each clinical case. 216 НАУЧНЫЕ ВЕДОМОСТИ М и Серия: Медицина. Фармация. 2019. Том 42, No 2 Ключевые слова: oстеопластические мaтериалы, микрoпористость тости, макрoпористость кoсти, чeлюстная кoсть, рeгенерация.