Miracle-dz/UniFAR-FTUs huggingface dataset:
1 V, 0.18 μm-area and power efficient UWB LNA utilising active inductors

A low-noise amplifier (LNA) for the lower ultra wideband (UWB) communication bandwidth (3.1-4.8 GHz) utilising area and power efficient active inductor implementation is presented. A loss regulated active inductor structure is used to realise shunt peaking inductances, which enable the design to attain a tunable peak S 21 of 14.85 dB with a -3dB bandwidth of 2.75-4.9 GHz. Implemented in 0.18 μm CMOS technology with a 1 V supply voltage, the LNA core consumes 7.1 mA while occupying an area of only 0.05 mm 2 .
The impact of the fuzzy front end on new product development success in Japanese NPD projects

In a study of Japanese New Product Development (NPD) projects, the fuzzy front end of innovation is explored. Our conceptual model is based on the information-processing perspective. A structual equation model was fitted to data from 497 NPD projects from Japanese mechanical and electrical engineering firms to test the proposed model. The empirical analysis found support for all hypotheses except for one. Our study suggests that an early reduction of market and technical uncertainty and a draft initial planning prior to development have a positive impact on NPD project success. The model accounts for 17% of the variance of the efficiency and 24% of the variance of the effectiveness dependent variable. Thus, the front end phase is an important driver of NPD project success. Implications of the model are discussed.
The power of modularity

We live in a dynamic economic and commerical world, surrounded by objects of remarkable complexity and power. In many industries, changes in products and technologies have brought with them new kinds of firms and forms of organization. We are discovering news ways of structuring work, of bringing buyers and sellers together, and of creating and using market information. Although our fast-moving economy often seems to be outside of our influence or control, human beings create the things that create the market forces. Devices, software programs, production processes, contracts, firms, and markets are all the fruit of purposeful action: they are designed.Using the computer industry as an example, Carliss Y. Baldwin and Kim B. Clark develop a powerful theory of design and industrial evolution. They argue that the industry has experienced previously unimaginable levels of innovation and growth because it embraced the concept of modularity, building complex products from smaller subsystems that can be designed independently yet function together as a whole. Modularity freed designers to experiment with different approaches, as long as they obeyed the established design rules. Drawing upon the literatures of industrial organization, real options, and computer architecture, the authors provide insight into the forces of change that drive today's economy.
Vibration suppression control method for PMSM utilizing repetitive control with auto-tuning function and Fourier transform

We propose a suppression control method of the motor frame vibration and the rotational speed vibration (ripple) of PMSM utilizing the feedforward compensation control, and a generation method of compensation signals for the feedforward control by the repetitive control and the Fourier transform using a vibration signal acquired by the acceleration sensor attached to the motor frame or the rotary encoder used for the field oriented control, considering periodicity of vibration. The sensor is used on-line or only for the acquisition of the feedforward compensation signal. In order to realize on-line generation of the feedforward compensation signals to reduce the vibration, an auto-tuning method of the repetitive control parameters is employed. Experiments are carried out to confirm the usefulness of the proposed methods and to compare the effectiveness of the two types of vibration sensing methods.
Leading Change Toward Sustainability: A Change-Management Guide for Business, Government and Civil Society

Foreword William McDonough Foreword Paul de Jongh Introduction to the Second Edition: Leading Change towards De-carbonisation Part I: Why some organisations succeed and others fail 1. A tale of two companies 2. What went wrong? 3. A primer on sustainability 4. Socioeconomic implications of sustainable development 5. Sustainability, governance and organisational change (116K) Part II: The wheel of change toward sustainability 6. Change the dominant mind-set that created the system through the imperative of achieving sustainability 7. Rearrange the parts of the system by organising deep, wide and powerful sustainability transition teams 8. Change the goals of the system by crafting an ideal vision and guiding principles of sustainability 9. Restructure the rules of engagement of the system by adopting source-based strategies 10. Shift the information flows of the system by tirelessly communicating the need, vision and strategies for achieving sustainability 11. Correct the feedback loops of the system by encouraging and rewarding learning and innovation 12. Adjust the parameters of the system by aligning systems and structures with sustainability 13. Aligning governance with sustainability 14. Closing thoughts on the change process Appendix A: Assessing your organisation's 'sustainability blunders' Appendix B: Assessing your governance system Appendix C: Assessing your sustainability change initiative Author's postscript Bibliography
Game control methods in avoidance of ships collisions

ABSTRACT The paper introduces application of selected methods of a game theory for automation of the processes of moving marine objects, the game control processes in marine navigation and the base mathematical model of game ship control. State equations, control and state constraints have been defined first and then control goal function in the form of payments - the integral payment and the final one. Multi-stage positional and multi-step matrix, non-cooperative and cooperative, game and optimal control algorithms in a collision situation has been presented. The considerations have been illustrated as an examples of a computer simulations mspg.12 and msmg.12 algorithms to determine a safe own ship’s trajectory in the process of passing ships encountered in Kattegat Strait.
High Occupational Physical Activity and cardiovascular risk factors in employees of Fomento de Construcciones y Contratas S.A. Company: a cross-sectional study

BackgroundThe impact of occupational physical activity (OPA) intensity, considering adults work many hours a day, on health is unknown. The present study aims to evaluate the association between the high intensity of OPA and cardiovascular risk factors of employees.MethodsA cross-sectional study was carried out in the “Fomento de Construcciones y Contratas S.A. Company” (FCC S.A. Delegation) in 2017, Spain. The intensity of OPA of each employee was classified by work categories in low (≤ 3 METs) or high (> 3 METs). Health and lifestyle data of employees were collected on medical consultation in the workplace.ResultsAssociations were analyzed between the high intensity of OPA and cardiovascular risk factors of employees. 751 employees, 55.5% (n = 417) with high intensity of OPA. An 82.2% (n = 245) of employees with low intensity of OPA presented overweight/obesity compared with 69.0% (n = 171) with high intensity of OPA employees (p < 0.001). In men, high intensity of OPA is negatively associated with Body Mass Index (BMI) (B: -0.042, p = 0.003), waist circumference (B: -0.027, p < 0.001) waist-hip ratio (B: -5.484, p < 0.001), cholesterol (B: -0.007, p = 0.001) and triglycerides (B= -0.003, p = 0.025). In women, high intensity of OPA was positively associated with blood pressure (BP) (systolic BP: B = 0.036, p = 0.005 and diastolic BP: B = 0.040, p = 0.021). ConclusionsIn conclusion, the high intensity of OPA is associated with less cardiovascular risk factors in men, whereas women are associated with high levels of blood pressure, suggesting an influence of gender and work categories.
Decoupled control of a 4-leg inverter via a new 4/spl times/4 transformation matrix

Four-leg (3-phase 4-wire) inverters are developed to power unbalanced/nonlinear three-phase loads. A unique 4/spl times/4 decoupling transformation matrix is used that enables direct transformation between the four degree-of-freedom (DOF) leg-modulation space of the inverter and its corresponding 3-DOF output-voltage v space. This is analogous to the well-known 3/spl times/3 "abc-qd" transformation developed for the 3-leg inverter. Details of this new 4/spl times/4 "Quad" transform are provided, along with a depiction of the voltage-vectors produced. Advanced synchronous-frame control techniques are applied with this 4-to-3 "abcn-qdo" transform to create a UPS-style inverter with sinewave output. Experimental results for an 8.6 kV a prototype inverter are presented.
Agricultural Knowledge and Information Systems: A Network Analysis

Roling and others argue that research and extension should not be seen as separate processes involving distinct institutions which must somehow be linked. Rather, scientists, specialists, extension workers, consultants and producers should be seen as participants in a single agricultural knowledge and information system (AKIS). This perspective on research, extension and adoption as activities that occur within a network offers new insights into the way in which technology transfer occurs, and new ideas as to how to increase the rate of adoption of new ideas and techniques in farming. In this study, we use network management theory and applied network analysis to operationalise the concept of an AKIS and to test the relationships between system characteristics and the effectiveness of technology transfer. The paper is based on the analysis of two networks associated with a large multi-site regional research and extension project in the temperate high rainfall zone of south-eastern Australia. The results indicate that network structure and the performance of individual network members have a significant impact on the ability of an AKIS to facilitate technology transfer.
Exploring potential factors leading to effective training

Purpose – A previous study found that the quality of education in Cambodia is poor compared to other developing countries. However, the working performance of commercial banks in Cambodia is high. It was speculated that effective training was the main factor underlying this contradiction. Therefore, the main purpose of this article is to explore the elements of training conducted by commercial banks in Cambodia and to examine their relationship with training effectiveness.Design/methodology/approach – The research focuses on six factors: training needs assessment; training program; flexibility of training; self‐efficacy; social support; and transfer of knowledge. The data came in the form of questionnaires and desk research. A descriptive analytical approach is then used to describe these six factors.Findings – The banking industry in Cambodia offers very effective training to its employees. It is also worth noting that more than 80 percent of employees are satisfied with the training, despite few attempt.
A target-capturing problem based on a cyclic pursuit strategy

A consensus problem is best described as a situation where multiple agents need to come to an agreement based on information gathered by all agents. However, each agent only has information from a few other agents. Applications for this could, for instance, be any kind of situation where you have autonomous agents that need to cooperate. This could be agreeing upon a rendezvous time or maintaining a formation. In this thesis a speciﬁc kind of consensus problem is considered and expanded upon, namely a target pursuit problem where a number of agents want to approach a target and assume a formation around it. In our case the agents will only get information from their next neighbour with respect to the angle around the target, which makes it a cyclic pursuit. We will show that if a directed communication graph, representing the network, contains a rooted directed spanning tree the agents will reach consensus. We also construct a simulation of an introductory problem, examine what makes it work and verify convergence and collision avoidance. The problem will be modiﬁed by making the agents converge to an arbitrary plane instead of the xy-plane as presented in the original setup. Basic concepts of matrix and graph theory and zero-order hold sampling will be explained.
Predictive models for power dissipation in optical transceivers

Power dissipation in optical networks is a significant problem for the telecommunications industry. The optical transceiver was selected as a representative device of the network, and a component based power model is developed for it. This model indicates that there are three key power dissipating elements in an optical transceiver: the electrical MUX/DEMUX, the thermoelectric cooler (TE cooler), and the modulator driver amplifier. First, the electrical MUX/DEMUX materials and functionality are investigated, and a circuit model is developed to simulate the MUX/DEMUX using both CMOS and MOSFET Current Mode Logic circuit topologies. The SPICE simulations use future technology generation process cards from the Berkeley Predictive Technology model, and enable the simulations to predict the power dissipation of the MUXs in the future. The results of these SPICE simulations show that improvement in technology generations significantly reduces the power dissipation of the MUX circuits. The TE cooler is then examined and a MATLAB model is developed to predict the thermodynamic flow through a packaged laser and TE Cooler. The MATLAB simulations of this model show that although materials with lower thermal conductivity result in more cooling power for the TE cooler, they also significantly raise the overall temperature of the laser. Therefore, lower thermal conductivity is not the best way to reduce power dissipation in the TE cooler. Together these physical models give a better understanding of the factors that will most influence the power dissipation optical transceivers in the future. Thesis Supervisor: Rajeev Ram Title: Professor, Electrical Engineering
An optimized second order numerical scheme applied to the non-linear Fisher’s reaction-diffusion equation

Abstract Four one-parameter θ -family of simple and seemingly implicit finite difference schemes are proposed to obtain an accurate approximate solution for the non-linear Fisher model problem arising in population dynamics. The underlying methods are based upon the Saul’yev’s asymmetrical methods and the method of lagging. It is shown that, in general, the proposed schemes are consistent with the first and second-order accuracy in time and in space respectively. However, for two families, temporally and spatially second-order accuracy is achieved if one uses a special value of the weighting parameter. Hence, based on these families, a two-parameter (Θ,θ) -family of implicit finite difference approximation is introduced. By optimizing these parameters, we show that the latter scheme is second order accurate in both time and space. In fact, by selecting Θ,θ = 1/2, the stability of the method is established in the sense of von Neumann analysis. Both the accuracy and the convergence rates of the proposed discretized schemes are verified through numerical simulations and comparisons with available exact solutions and alternative existing numerical values are also made. Numerical results show the present methods and in particular the implicit approach are superior to the known methods in terms of accuracy.
A feature extraction and classification algorithm for motor imagery EEG signals based on decision tree and CSP-SVM

In order to solve the problems of low recognition accuracy for motor imagery EEG signals, this paper presents a feature extraction and classification algorithm based on decision tree and CSP-SVM. Firstly, we select the fixed frequency of signals ranging from 8 to 30 Hz. Secondly, multiple spatial filters are constructed by using the one versus the rest common spatial pattern (OVR-CSP) and extract the feature vectors. Support vector machine (SVM) is employed to classify the feature vectors so that the best spatial filter is selected. We build the first branch of decision tree with the spatial filter selected and SVM. Then, OVR-CSP and SVM are used to build the branches of the decision tree repeatedly. Finally, 2005 BCI competition IIIa data set is used to validate the effect of the proposed algorithm. The results show that the highest accuracy of the proposed algorithm can reach 94.27% which proves the effectiveness of the algorithm.
PERANCANGAN DAN PEMBUATAN SPRAYER PUPUK ELEKTRIK

Pemilihan topik Perancangan dan Pembuatan Sprayer Pupuk Elektrik ini dilatarbelakangi oleh timbulnya masalah-masalah pada sprayer gendong semi-otomatis yang biasa digunakan petani-petani Indonesia saat ini, masalah yang ada meliputi penggunaan tenaga manusia yang masih terlalu besar sehingga menimbulkan kelelahan bagi penggunanya, beberapa komponen yang mudah rusak, dan juga penggunaan yang kurang efektif pada penyemprotan tanaman buah yang tinggi. Data mengenai permasalahan tersebut diperoleh dari hasil wawancara pada beberapa kelompok tani yang ada di Jawa Tengah dan Yogyakarta. Untuk menghasilkan rancangan yang dapat menyelesaikan masalah pada sprayer yang sudah ada digunakan KOMBINASI metode QFD dan TRIZ. Metode ini menitik beratkan pada pemecahan kontradiksi yang terjadi pada setiap kemungkinan penyelesaian masalah atau alternatif desain. Hasil penelitian ini berupa sebuah sprayer pupuk elektrik yang secara signifikan mampu menyelesaikan masalah-masalah yang tersebut pada latar belakang masalah.
Polyamine and Ethylene pathways crosstalk revisited on a genome wide and gene function scale

Background Polyamine and ethylene biosynthesis pathway genes are widely involved in the regulation of plant abiotic stresses. For their biosynthesis, both pathways require the same precursor, Synthase Adenosyl Methionine (SAM) enzyme. Whether they function as competitors or collaborators to regulate plant abiotic stress tolerance is still an elusive topic. Genome wide analysis of Cleistogenes songorica polyamine and ethylene pathway gene families was conducted to study their evolutionary relationship. And, using Arabidopsis plants transformed with a polyamine gene SAMDC2 from C. songorica, the expression of key genes from both pathways, and other previously well-studied stress responsive genes was investigated under salt or drought stress. Further, the ABA’s role on this interaction salt stress was also studied. Results 17 polyamine, 12 ethylene and 6 SAM biosynthesis related genes were identified at genome wide level in C. songorica. Phylogenetic analysis revealed close evolutionary similarities between gene families from both pathways. Also, analysis of cis regulatory elements indicated that SAM family genes promoters were rich into both ABA and ethylene related cis regulatory elements. Transcriptomic analysis, qRT-PCR validation, and confirmation using transgenic Arabidopsis showed that polyamine and ethylene key pathway genes can be concurrently expressed during abiotic stresses. Arabidopsis plants expressing a polyamine gene CsSAMDC2 driven by RD29A showed an improved drought and salt stress tolerance, and an increased expression of key polyamine and ethylene pathway genes. These plants maintained higher chlorophyll content and photosynthetic capacity. Morphological analysis of transgenic seedlings showed that leaves of these lines exhibited a more compact architecture following salt stress exposure. Application of ABA on transgenic lines under salt stress further improved the expression of polyamine and ethylene pathway genes. Further, lateral and primary root development were found improved during salt stress and ABA treatments. Interestingly, the expression of ethylene pathway genes was not reversed by exogenous ABA during salt stress treatment. Conclusion In silico and gene functional analysis assays revealed potential evolutionary and functional similarities between polyamine and ethylene pathway gene families. Such findings imply a synergetic interaction between polyamine and ethylene pathways, and the significant role of ABA on this crosstalk.
Physical activity assessment under free-living conditions using pattern recognition monitors

Extensive literature has documented the health benefits of physical activity. Valid, reliable and feasible physical activity assessment tools are necessary to assess the complexity and multidimensionality of physical activity behavior. Pattern-recognition activity monitors that integrate information from multiple sensors appear to be the most promising approach for assessing physical activity under free-living conditions. Previous studies have provided support to the validity of pattern-recognition monitors for assessing the energy cost of activity under-free living conditions in young adults. However, children and older adults present unique measurement challenges for the assessment of physical activity under freeliving conditions. The series of studies in this dissertation extends previous research by assessing the accuracy of a pattern-recognition monitor (SenseWear Armband) in children and older adults under free-living conditions. Consistent with previous findings in young adults, results indicate that the SenseWear Armband monitors provide valid estimates of total energy expenditure and activity energy expenditure in older adults and children, under freeliving conditions. Collectively, the findings of this research support the validity of the SenseWear Armband for assessing physical activity under free-living conditions in children and older adults.
Feature Selection using Normalized Weight Method for Tamil Text Classification

The Feature Selection process simplify the Tamil text classification work at present we are in the information age, in this period all the applications has great growth in the domain of World Wide Web, so regional language like Tamil materials such as web pages, e-mails, e-books, and digital data has grown enormously so the retrieval of this Tamil digital document is more wanted by Tamil Document searcher. For quick retrieval of needed Tamil digitized documents among the millions of Tamil web documents, these documents should be classified by content according to their classes. The Tamil Text classification is a background work for many Tamil NLP applications such as query response, information extraction, information summarization, etc. the implementation of text categorization is very important in the information retrieval field. The text categorization assigns a document an appropriate category from a predefined group of categories. Tamil Text Classification classifies the documents based on Tamil text in a Document. Tamil language words are very rich in morphology and hence Tamil language consists of very large set of word forms. So it is important to reduce the features of Tamil text. This paper discusses about Feature selection Using Normalized weight from the huge set of key words from the preprocessed corpus. The Feature selection done by Term Weighting (TF*IDF) normalized method is reducing the size of the key word list which is very useful for training and testing Tamil text classification algorithms.