Miracle-dz/UniFAR-FTUs huggingface dataset:
Interferometric multispectral imaging as a candidate sensor for monitoring global greenhouse gases

The authors consider an interferometric multispectral imagery as a spaceborne sensor for monitoring global greenhouse gases. A striking feature of this radiometer is that, unlike the usual imaging spectroradiometer boarded on a satellite platform, the system requires, in principle, neither imaging device such as a lens and a scanner, nor a spectral filter. Instead, it uses a three-dimensional Fourier transform to recover spectral radiance. Specifically, this radiometer retrieves multispectral images from the three-dimensional spatial coherence function measured by a simple volume interferometer. This interferometer is a combination of a Michelson interferometer and a wave-front shearing interferometer, and is essentially equivalent to a parallel two dimensional array of the usual Fourier transform spectrometers. This paper presents the general principle of the authors' imaging spectroradiometry, some limitations in a practical implementation, and a example of conceptual design of spaceborne interferometer for conducting global observation.
Large-Eddy Simulation on turbulent flow and plume dispersion over a 2-dimensional hill

Abstract. The dispersion analysis of airborne contaminants including radioactive substances from industrial or nuclear facilities is an important issue for air quality maintenance and safety assessment. In Japan, many nuclear power plants are located at complex coastal terrains. In these cases, terrain effects on the turbulent flow and plume dispersion should be investigated. In this study, we perform Large-Eddy Simulation (LES) of turbulent flow and plume dispersion over a 2-dimensional hill flow and investigate the characteristics of mean and fluctuating concentrations.
A continuous friction model for servo systems with stiction

Introduces a continuous model for friction torque of servo systems which involve stiction at extremely low velocities. This new friction model can be applied to both away from zero and close to zero velocity regimes. For high velocities this model reduces to the classical friction model while for very low velocities it allows for the realization of pre-sliding phenomena without the hysteresis effect.
STEGANOGRAPHY BASED ON RANDOM PIXEL SELECTION FOR EFFICIENT DATA HIDING

In this paper we present a novel steganographic approach to increase the security of the data hidden in a cover RGB image. Here we have used LSB insertion method that hides the bits of a secret message into the least significant bit in the red plane of the pixels within a cover image. The pixels are selected by using a random number generator. It is commonly seen that the changes in the LSB of the colour cannot be detected due to noise that is presents in the digital images by the human visual system. The central idea of the proposed method is to increase security, so the data is embedded only into the red plane of the image. We have also explained the method that extracts the hidden message at the receiving end using a key. The main objective of the paper is to combine both the preferences and the resistance to the visual and statistical attacks for a large amount of the data to be hidden in a cover image.
Real time video distribution using publication through a database

We describe an interactive video-on-demand (VoD) service, which supports VCR-like functions. It consists of two parts. The first part is a database, which contains the information concerning the videos. This information is published on an Intranet Web. The second part is the actual video distribution using the client server model. The architecture combines network manipulation of high level and a modular system of pluggable components which provides adjustability to the needs of the user.
Verification of an Optimisation Algorithm of Stack Machine in Functional Programming Languages

Software verification is a significant part of software engineering which is used to ensure that the programs meet their specification and deliver the functionality expected by the users. Pure functional programs can be directly verified by tools. This dissertation focuses on implementing an optimisation algorithm of stack machine in functional program languages, and verifying its correctness with two verification tools, QuickCheck and HOL Light. QuickCheck is used for testing and HOL-Light is used for proof. The optimisation algorithm transfers the instruction code to replace loads and stores with stack manipulation to reduce the memory accesses. The correctness of the optimisation is verified by showing the code before a transformation is semantically equivalent to the transformed code. The verification method is generalised, which is useful for further verifications of stack algorithms.
Perception-based robotics based on perceiving-acting cycle with modular neural networks

Discusses controlling and learning methods of perception-based robotics from the viewpoint of ecological psychology. In the method, the perceptual system and the action system of the robot restrict each other according to the spatio-temporal context of the environment. Furthermore, we discuss the unit of actions using modular neural networks for robotic systems. We apply the proposed method to a dynamic environment. Several computer simulations show the robot can learn behaviors based on the perceiving-acting cycle.
A decision is made – and then?

This thesis deals with the conditions and factors influencing the implementation outcome of top management decisions. The thesis presents an implementation model, which describes, and to a certain extent explains, the factors influencing the implementation efficiency of decisions made by top executives in complex profit-driven, Swedish organizations. The model is developed from a literature review and tested in an empirical study with both qualitative and quantitative approaches. The implementation efficiency is estimated as the sum of implementation process efficiency and decision goal satisfaction. The empirical study is carried out in the perspective of both the executives and the implementers. All types of decisions have been studied. The respondents have described how a specific decision is handled in the implementation phase (the qualitative part of the study). They have also estimated the performance of specific variables on a six-grade scale for the same decision (the quantitative part of the study). The analysis of the empirical data is carried out not only as comparisons of the opinions of respondents for each decision identifying similarities and differences, but also by using Qualitative Comparative Analysis, QCA, and a simultaneous equation model, LISREL. The analysis results show that the preliminary implementation model satisfactorily explains basic correlations between implementation conditions and implementation efficiency. The implementation efficiency is positively correlated with a simple implementation context and an evident implementation profile as well as decisions with only internal consequences, operational decisions and recognized decisions. The implementation efficiency is on average about 65%, with great variation between companies and between decisions, indicating a huge potential for improvements. There are differences between decision makers and the implementers in terms of perceived implementation conditions and implementation efficiency. It is also observed that decision makers engage themselves to a very limited extent in the implementation of their decisions. The preliminary implementation model has been developed with complementary variables as a result of the study. Furthermore, it has been possible to design a preliminary model describing the critical moment of transformation of the implementation task. Both models require further empirical tests.
A New I ntegrated A pproach of Linear Goal Programming and Fuzzy TOPSIS for Technology Selection

Selection of technologies is one of the most challenging decision making areas the management of a company encounters. It is difficult to clarify the right technology alternatives because the number of technologies is increasing and the technologies are becoming more and more complex . The purpose of this paper is applying a new integrated method to technology selection. Proposed approach is based on Linear Goal Programming and Fuzzy TOPSIS methods. Linear Goal Programming method is used in determining the weights of the criteria by decision makers and then rankings of technologies are determined by fuzzy TOPSIS method. A numerical example demonstrates the application of the proposed method. ( Ahmad Jafarnejad Chaghooshi, Saiedeh Sadat Ahangari, Mohsen Moradi - Moghadam, Maryam Sadat Fagheyi . A New Integrated Approach of Linear Goal Programming and Fuzzy TOPSIS for Technology Selection. N Y Sci J 2013;6(6): 58 - 63 ). (ISSN: 1554 - 0200). http://www.sciencepub. net/newyork . 10
Multi‐agent adaptive consensus of networked systems on directed graphs

This paper considers adaptive consensus problem on directed graphs of multi‐agent systems with unknown control directions. The proposed consensus protocol assumes that each agent receives information about delayed values of state and control signals of respective neighbors. In case of unknown sign of the high‐frequency gain of agent dynamics, the proposed algorithm employs Nussbaum‐like switching function. The algorithm allows for a designer to select low gain or high gain consensus protocols. Assuming that the underlying graph is strongly connected, it is proved that all agent states converge toward the same value, and the inter‐agent coupling parameters are convergent functions. Copyright © 2015 John Wiley & Sons, Ltd.
Power management and control for solar-wind-diesel stand-alone hybrid energy systems

A simulation based research on developing a power management and control system for stand-alone solar-wind-diesel hybrid energy systems is presented in this dissertation. The simulation model of stand-alone system is developed from mathematical models of solar photovoltaic system, wind turbines and diesel generators. A multi-variable control system is developed and implemented into the simulation models in order to achieve optimum performance. The model of solar photovoltaic energy conversion system is constructed with maximum power point tracking control to extract maximum power from the solar photovoltaic system. An improved control system is developed for wind energy conversion system to optimize the operation of wind turbine through speed regulation and maximum power point tracking control. In addition, a governor control system is developed for the diesel generation system. The frequency regulation system consist conventional phase locked loop system and a voltage regulator in order to regulate the load voltage. A power management strategy is introduced to share the generated power and to improve the power quality where priority is given to the wind energy conversion system. The power management algorithm controls the sharing of generated power and optimizes the hybrid operation. The complete model of stand-alone solar-wind-diesel hybrid energy system is simulated in Matlab ® /Simulink ® interface. Results obtained from the simulation are presented to validate the control algorithms developed in this work.
Power Flow Analysis of Simulink IEEE 57 Bus Test System Model using PSAT

In this paper, we have developed an IEEE 57 bus test system model for conducting the power flow analysis. Simulink library based editor in Power System Analysis Toolbox (PSAT) is used for designing the model. MATLAB is used as a platform for running the PSAT software package. Default Newton-Raphson method in PSAT is used for conducting the power flow analysis. The algorithm for designing the Simulink IEEE 57 bus test system model is developed and the power flow has conducted. All the results are tabulated and the necessary graphs were drawn for the voltage, angle, active, and the reactive power for all the 57 buses. All the results are analyzed and the conclusion has given for the validity of this computational power flow analysis.
Rotation Invariant Offline Signature Recognition

This paper describes a novel method for offline signature verification and identification based on a multiresolution techniques using Gabor wavelet and then using basic moments for feature extraction. These features yield better results with accuracies as high as 80% and 95% for verification and identification, respectively. Extensive experimental results and comparison with the existing methods show the effectiveness of the proposed recognition method.
The realization of automatic adaptive channel equalization

This paper introduces the automatic adaptive equali zation based on SMI, LMS, NLMS and RLS. Matlab tool can be used to simulate the above algorithms in linear dis persion channels. Also the effects of the delayed t ime ,channel parameter and filtering parameter to the convergenc e rate and precision are analysed.
The role of the Internet in the primary school classroom:: From a learning and teaching perspective

Computer related technology is increasingly used in society today, and has impacted in various ways on classrooms across the world. In New South Wales, Australia, there has been an increasing emphasis on teaching using information and communication technology (ICT), and in particular the Internet. Previous research has suggested that few teachers are significantly integrating ICT into their class teaching and learning activities (Oberg & Gibson, 1999; Robertson, Grady, Fluck, & Webb, 2006). This study has investigated how the Internet was used to support teaching and learning in primary school classrooms. Case study methodology was used for the study to provide an in depth view of how some teachers have integrated the use of the Internet into their classroom teaching and learning activities. Data for this study were collected from four public primary schools in New South Wales, during one ten week school term. The study focused on students in Years 3 to 6 in five classes as well as on their class teachers. The study found that while all of the teachers used the Internet to some degree to support teaching and learning activities in the classroom this was done in various ways and with varying success. In particular, ICT infrastructure, access and use varied between classes and schools. Also of importance were the pedagogical aspects of integrating Internet technology into the classroom teaching program. The implications stemming from this research include the need to offer more professional development on how to integrate ICT into class teaching for teachers as well as providing them with ready access to online resources and adequate ICT infrastructure.
University Web Portals As Information Management Tool: Technology Acceptance Dimension

This study of the use of university web portal as information management tool identified the respondent’s utilization and technology acceptance. The research aimed to: (1) to explore faculty members’ acceptance of university web portal as an information management tool in teaching and (2) identify the key intention determinants of UE web portal use. With the forty (40) faculty respondents coming from the six (6) randomly selected colleges of the University of the East, the findings revealed that they have positive attitude towards the use of the portal as information management tool because of its usefulness and ease of use. The analysis depicts the respondents’ full intention to continue using the university web portal. The result confirmed perceived usefulness (PU) as a determinant for behavioral intention to continue using the university web portal as information management tool.
An Efficient Anomaly Detection System Using Featured Histogram and Fuzzy Rule Mining

Anomaly detection is a concept widely applied to numerous domains. A number of techniques are used for finding the anomalous attacks. As the network traffic increases we need an efficient system to monitor packet analysis of network flow data. Due to this frequent item set mining is foremost problem in field of data mining and knowledge discovery. Frequent item sets are produced from very huge data sets by applying several algorithms like Apriori algorithm, Partition method, Pincer-Search algorithm, Incremental, Border algorithm and many more, which take large computing time to calculate all the frequent item sets. In this paper a featured histogram approach is used for the detailed analysis of feature values of data set. It also proposes a fuzzy mining algorithm based on the AprioriTid approach to find fuzzy association rules from given quantitative transactions. Due to fuzzy rule mining approach it triggers a small number of false positives.
A Novel Optimizing Mechanism of Load Balancing in LTE Network

With the rapid developing of wireless communication technology and the growing user service, the demand on the system capacity from users is growing. In the LTE network, the uneven load distribution makes that network resource is not fully utilized, which results that the capacity is limited. In this paper, a novel optimizing mechanism of network load balancing based on the network manager is proposed. The eNBs in the network will broadcast the current load status by the way of adapting a new message format with the life cycle bit when the load of the cell is changed, then the serving eNB can decide which part of users in the cell should transfer to the neighboring cells and send a request to the network manager. The network manager will calculate whether the transferred users make the neighboring cell load exceed the threshold. If not, the users can be transferred to the neighboring cell and release the serving cells load burdon. Otherwise, the serving cell will search other neighboring cells to transfer the users. The simulation results show that the proposed mechanism will not consume more network resource and improve the network throughput significantly.
A novel neural network adaptive controller structure for a resonant circuit

This paper addresses the problem of tuning adaptively, a parallel RLC resonant circuit and introduces a new neural network-based scheme under which the circuit is adaptively tuned. The proposed neural network controller is, in a sense, training less as no pre-training phase is required. Furthermore, it has the ability to discover himself, adaptively, the suitable control law needed to maintain the circuit well-tuned at all time. <<ETX>>
Proactive Online Scheduling for Shuffle Grouping in Distributed Stream Processing Systems

Shuffle grouping is a technique used by stream processing frameworks to share input load among parallel instances of stateless operators. With shuffle grouping each tuple of a stream can be assigned to any available operator instance, independently from any previous assignment. A common approach to implement shuffle grouping is to adopt a round robin policy, a simple solution that fares well as long as the tuple execution time is constant. However, such assumption rarely holds in real cases where execution time strongly depends on tuple content. As a consequence, parallel stateless operators within stream processing applications may experience unpredictable unbalance that, in the end, causes undesirable increase in tuple completion times. In this paper we propose Proactive Online Shuffle Grouping (POSG), a novel approach to shuffle grouping aimed at reducing the overall tuple completion time. POSG estimates the execution time of each tuple, enabling a proactive and online scheduling of input load to the target operator instances. Sketches are used to efficiently store the otherwise large amount of information required to schedule incoming load. We provide a probabilistic analysis and illustrate, through both simulations and a running prototype, its impact on stream processing applications.
An 1.1–GHz packaged CMOS VCO with phase noise of – 126 dBc/Hz at a 600–kHz offset

A packaged 1.1-GHz CMOS voltage controlled oscillator (VCO) with measured phase noise of -92, -112 and - 126 dBc/Hz at 10, 100 and 600-kHz offsets is demonstrated. According to reference [1], these satisfy the GSM requirement. The extrapolated phase noise at a 3-MHz offset is -140 dBc/Hz. The power consumption is 6.8 and 12.7 mW at V DD =1.5 and 2.7V, respectively. The VCO is implemented in a low cost 0.8-µm foundry CMOS process which uses p+substrates with a p-epitaxial layer. Buried channel PMOS transistors are exclusively used for lower 1/f noise. The inductors for the LC-tanks are implemented using a series combination of an on-chip spiral inductor, bond wires and 2 package leads to increase Q. This technique requires no extra board space beyond that needed for the additional package leads.
A Micro Miniaturized CCD Color Camera Utilizing A Newly Developed CCD Packaging Technique

A small camera using a CCD (charge coupled device) image sensor has been widely used in various fields. The authors have developed the world's smallest and highest picture quality CCD color camera to enlarge the camera market. This camera is 7.0 mm in diameter, 47 mm in length, and only 4 g in weight. The driving force to realize the camera was to develop the smallest CCD package. The new CCD package, TOG:TAB (tape automated bonding) on glass, is almost as small as a CCD bare chip with a 1/4-inch size. Furthermore, the TOG package realizes a simple production process and high reliability. >
Altmetrics-based Visualizations Depicting the Evolution of a Knowledge Domain

In this paper, we present work towards showing the evolution of scientific domain using data from a scientific conference scheduling software. This scheduling data represents an altmetrics source which has not been studied before. As a use case, we have chosen to visualize the evolution of the Conference on User Modelling, Adaptation and Personalization (UMAP). The first results of this type of analysis are encouraging. The chosen visualization approach of small multiples allows for a comparison of knowledge domain visualizations over various years. The work, however, also revealed several weaknesses of the current approach, relating to the topology and the continuity of the visualization. We discuss these weaknesses and present potential solutions.