Miracle-dz/UniFAR-FTUs huggingface dataset:
EXPERIMENTAL EVALUATION OF DISTURBANCE OBSERVER-BASED VIBRATION SUPPRESSION AND DISTURBANCE REJECTION CONTROL IN TORSIONAL SYSTEM

Abstract. In the resonance ratio control, the estimation speed of the disturbance observer should have been much faster than the resonance frequency of the controlled system. However, too fast disturbance observer causes implementation problem. In this paper, we give the optimal speed of the disturbance estimation and propose a novel technique, slow resonance ratio control, which enables us to design the speed control and the vibration suppression control independently.
Dual-Feature Warping-Based Motion Model Estimation

To break down the geometry assumptions of traditional motion models (e.g., homography, affine), warping-based motion model recently becomes very popular and is adopted in many latest applications (e.g., image stitching, video stabilization). With high degrees of freedom, the accuracy of model heavily relies on data-terms (keypoint correspondences). In some low-texture environments (e.g., indoor) where keypoint feature is insufficient or unreliable, the warping model is often erroneously estimated. In this paper we propose a simple and effective approach by considering both keypoint and line segment correspondences as data-term. Line segment is a prominent feature in artificial environments and it can supply sufficient geometrical and structural information of scenes, which not only helps guild to a correct warp in low-texture condition, but also prevents the undesired distortion induced by warping. The combination aims to complement each other and benefit for a wider range of scenes. Our method is general and can be ported to many existing applications. Experiments demonstrate that using dual-feature yields more robust and accurate result especially for those low-texture images.
Model-driven detection of Design Patterns

Tracing source code elements of an existing Object Oriented software system to the components of a Design Pattern is a key step in program comprehension or re-engineering. It helps, mainly for legacy systems, to discover the main design decisions and trade-offs that are often not documented. In this paper an approach is presented to automatically detect Design Patterns in existing Object Oriented systems by tracing system's source code components to the roles they play in the Patterns. Design Patterns are modelled by high level structural Properties (e.g. inheritance, dependency, invocation, delegation, type nesting and membership relationships) that are checked, by source code parsing, against the system structure and components. The approach allows to detect also Pattern variants, defined by overriding the Pattern structural properties. The approach was applied to some open-source systems to validate it. Results on the detected patterns, discovered variants and on the overall quality of the approach are provided and discussed.
A Rapid Assessment of Avoidable Blindness in Southern Zambia

Introduction A rapid assessment of avoidable blindness (RAAB) was conducted in Southern Zambia to establish the prevalence and causes of blindness in order to plan effective services and advocate for support for eye care to achieve the goals of VISION 2020: the right to sight. Methods Cluster randomisation was used to select villages in the survey area. These were further subdivided into segments. One segment was selected randomly and a survey team moved from house to house examining everyone over the age of 50 years. Each individual received a visual acuity assessment and simple ocular examination. Data was recorded on a standard proforma and entered into an established software programme for analysis. Results 2.29% of people over the age of 50 were found to be blind (VA <3/60 in the better eye with available correction). The major cause of blindness was cataract (47.2%) with posterior segment disease being the next main cause (18.8%). 113 eyes had received cataract surgery with 30.1% having a poor outcome (VA <6/60) following surgery. Cataract surgical coverage showed that men (72%) received more surgery than women (65%). Discussion The results from the RAAB survey in Zambia were very similar to the results from a similar survey in Malawi, where the main cause of blindness was cataract but posterior segment disease was also a significant contributor. Blindness in this part of Zambia is mainly avoidable and there is a need for comprehensive eye care services that can address both cataract and posterior segment disease in the population if the aim of VISION 2020 is to be achieved. Services should focus on quality and gender equity of cataract surgery.
Practical anonymous authentication - Designing anonymous authentication for everyday use

We use authentication services many times a day. Without user authentication, it would be impossible to use email accounts, discussion boards, e-banking or even electronic communication. On the other hand, we release a lot of personal information during every authentication process. Our login can be linked to used services and assets by service providers. The frequency of usage and therefore the map of our behaviour on the Internet can be created to make more focused advertisement, to track us or even to steal our electronic identity. The goal of this paper is to state the requirements and provide the initial design for an anonymous authentication scheme which prevents the leakage of private information. The new scheme, to be widely acceptable, must be beneficial for both users and service providers, who implement the authentication systems. Therefore we claim that the new authentication system must provide a feature for revealing dishonest users. These users can be eventually deanonymized and charged for damages. We provide such a responsibility-protecting feature in our scheme. We also compare our scheme design with current anonymous authentication schemes and provide initial performance results from our smart-card implementation.
Application of Bayesian Nonlinear Structural Equation Modeling for Exploring Relationships on Residential Satisfaction in Turkey

We introduce a Bayesian Nonlinear Structural Equation Modeling framework to explore the relationships on residential satisfaction in Turkey. The structural equation model (SEM) is a multivariate statistical method that allows assessment of relationships between observed and latent variables. SEM includes methods for regression, path analysis and factor analysis. SEM is widely used to examine the inter-relationships between latent and observed variables in psychological, social and medical research. Generally, linear relationships between observed and latent variables are modeled in SEM. Recent years, modeling of nonlinear relationship in SEM get attract great attention in the literature. A Bayesian approach to SEM may enable models that reflect hypotheses based on complex theory. The Bayesian approach analyses a general structural equation model that accommodates the general nonlinear terms of latent variables and covariates. In this study we make Bayesian non-linear structural equation modeling analysis for Residential Satisfaction.
Image-Based Localisation in Urban Environments

In this master thesis a method for image-based localisation given a 3D-model of an urban environment is presented. In order to solve the localisation task, a 3D model needs to be constructed. Photos are taken with a calibrated camera of a part of a street from different angles and distances. For the system, the photos are to be matched together in pairs of two, and several 3D-models are built of these pairs. These 3D-models are then concatenated, so they represent one part of a street. The localisation is performed by comparing new images to the model. These photos are also taken with calibrated cameras. Corresponding points between the new image and the model are found using scale invariant discriminate features, called SIFT. The camera location is then determined relative the model. To test the system, the reprojection error is computed for the found correspondences between the image and the model. The results show that the localisation from the 3Dmodel can be done with good result.
Evaluation effectiveness of hybrid IDS using Snort with Naïve Bayes to detect attacks

The enormous number of attacks over the Internet nowadays makes the information under potential violation. Intrusion Detection System (IDS) is used as second line of defense to observe suspicious actions going on in computers or network devices. IDS have two approaches by using only one of the approaches only one of the misuse or anomaly attacks can be detected. This research proposed hybrid IDS by integrated signature based (Snort) with anomaly based (Naive Bayes) to enhance system security to detect attacks. This research used Knowledge Discovery Data Mining (KDD) CUP 99 dataset and Waikato Environment for Knowledge Analysis (WEKA) program for testing the proposed hybrid IDS. Accuracy, detection rate, time to build model and false alarm rate were used as parameters to evaluate performance between hybrid Snort with Naïve Bayes, Snort with J48graft and Snort with Bayes Net. The result shows good performance of using hybrid Snort with Naive Bayes algorithm.
Rule based Kannada Agama Sandhi splitter

The development of tools and techniques for automatic processing of natural language texts at different levels for various applications including machine translation needs to be addressed with at most priority. Sandhi splitter is one such automated tool which acts as a preprocessing tool for morphological analyzer that identifies the morpheme boundaries in a compound word based on the Sandhi rules defined in reverse direction. Due to highly agglutinative and morphologically rich nature of Kannada - one of the Dravidian languages of South India, complex compound words are formed by combining more than one morpheme/word based on the Sandhi rules. In this paper, as a preliminary work we have presented a rule based Kannada Agama Sandhi splitter, which identifies two flavors of Agama Sandhi namely, Yakaragama and Vakaragama and splits the compound word according to the rules of these two Agama Sandhis. Syllables are extracted from the word to identify the split point of the word. Our model uses a dictionary of root words and suffixes to check the validity of split words and rules to identify the split point. The problems of romanization and transliteration are overcome by using Unicode with UTF-8 representation for Kannada. Our model is tested on a large list of words extracted from Prajavani - a popular Kannada daily newspaper and other online resources, and the results are illustrated.
Cognitive Structures of University Students about Environmental Education, Climate Change and Consumption Concepts.

The purpose of this study was to determine cognitive structures and the retention of knowledge about environmental education, climate change and consumption Copyright (C) 2016 EdUHK APFSLT. Volume 17, Issue 2, Article 7 (Dec., 2016). All Rights Reserved. Asia-Pacific Forum on Science Learning and Teaching, 17(2), Article 7, p.2 (Dec., 2016) Özgül KELEŞ, Kenneth L. GILBERTSON and Naim UZUN Cognitive structures of university students about environmental education, climate change and consumption concepts concepts. The field of Environmental Education is increasingly including both climate change and consumption in the context of sustainability. Thus, this research is investigating the construction of cognitive structures using all three concepts. The study group consisted of 52 students (28 females and 24 males) attending the University of Minnesota Duluth, USA. A word association instrument was used for data collection. In order to evaluate the study results, the responses given about the key concepts were examined in detail. A frequency table was constructed to show which words or concepts best represented each key concept included in the instrument. Based on our findings, a frequency table and associated concept maps were generated to indicate how cognitive structures were formed about the three concepts. The findings showed that respondents generated many ideas related to the key concepts presented in the instrument. However, respondents did not appear to see the broad environmental concepts as a network of related ideas. Implications for using the word association test in the classroom are discussed.
Secure Network Coding over Small Fields

In the paradigm of network coding, the information-theoretic security problem is encountered in the presence of a wiretapper, who has capability of accessing an unknown channel-subset in communication networks. In order to combat this eavesdropping attack, secure network coding is introduced to prevent information from being leaked to adversaries. For any construction of secure linear network codes (SLNCs) over a wiretap network, the based field size is a very important index, because it largely determines the computational and space complexities, and further the efficiency of network transmission. Further, it is also very important for the process of secure network coding from theoretical research to practical applications. In the present paper, we proposed new lower bounds on the field size for constructing SLNCs, which shows that the field size can be reduced considerably without giving up any security and capacity. In addition, since the obtained lower bounds depend on network topology, how to efficiently determine them is another very important and attractive problem for explicit constructions of SLNCs. Motivated by a desire to develop methods with low complexity and empirical behavior to solve this problem, we propose efficient approaches and present a series of algorithms for implementation. Subsequently, the complexity of our algorithms is analyzed, which shows that they are polynomial-time.
Infrastructure as a service: Exploring network access control challenges

Cloud Computing Infrastructure as a Service (IaaS) is a great model for outsourcing IT infrastructure. It is built to offer fascinating features to support business development, such as elasticity, multi-tenancy, configurability and dynamicity. However, IaaS faces security challenges on account of its flexible nature. For this article, we studied the IaaS characteristics and investigated their related security challenges. We then elaborated these security challenges by exploring the security threats on live virtual machine migration as it is one of the main IaaS operations. We found that proper access control techniques and models are a critical element in enhancing IaaS and mitigating the identified security threats. Therefore, we investigated and contrasted the implemented and the proposed firewall architectures in IaaS as a firewall is a basic security appliance that enforces access control. We also explored and contrasted the proposed access control models in the IaaS. It was found that the traditional firewalls and access control models were not sufficient for IaaS. Therefore, there is a need to develop a proper access control model and enforcement techniques to mitigate IaaS security threats. Based on the security research trend and the results obtained in this article's exploration, we endorse an IaaS access control system built on a computational intelligent approach.
A practical guide to object-oriented metrics

While there are many ways you can capture your development experiences, metrics can help quantify previous work in a way that can directly guide future efforts. For example, projects of different sizes can require vastly different levels of effort, organizational structure, and management discipline. If you let experience be your guide and understand how a newly proposed system compares to projects you've already completed, you have a much better chance of finishing on time and under budget. A wide range of metrics can aid you in managing projects, but here the author focuses on a particular set of product metrics that highlight and quantify a system's object-oriented (OO) properties. He draws many of the results mentioned here from an analysis of 18 production-level applications built in PowerBuilder-a common GUI tool used for developing client-server database applications on a variety of platforms. (The PowerBuilder metrics analyzer is available free from American Management Systems-http:// www.amsinc.com.) Although these results are derived mainly from PowerBuilder applications, they should still provide practical guidance for development in most OO languages.
SIFT-based multi-frame super resolution for 250 million pixel images

In this paper, we propose a SIFT-based multi-frame super resolution for 250 million pixel images. In the proposed method, we first use the SIFT operator to detect key points in each frame. Then we use a closest matching method to find the correspondence among multi-frame images. The corresponding key points are used to register multi-frame images to a reference image, which is randomly selected from the multi-frame images. After registration, we combine the aligned multi-frame images to form a high-quality and high-resolution image. We applied the proposed method to enhance the quality of 250 million pixel images, which is obtained by the Canon's 250Mpixel CMOS-image-sensor.
Penetrating power of resonant electromagnetic induction imaging

The possibility of revealing the presence and identifying the nature of conductive targets is of central interest in many fields, including security, medicine, industry, archaeology and geophysics. In many applications, these targets are shielded by external materials and thus cannot be directly accessed. Hence, interrogation techniques are required that allow penetration through the shielding materials, in order for the target to be identified. Electromagnetic interrogation techniques represent a powerful solution to this challenge, as they enable penetration through conductive shields. In this work, we demonstrate the power of resonant electromagnetic induction imaging to penetrate through metallic shields (1.5-mm-thick) and image targets (having conductivities σ ranging from 0.54 to 59.77 MSm−1) concealed behind them.
Developmental Stage of Parasites Influences the Structure of Fish-Parasite Networks

Specialized interactions tend to be more common in systems that require strong reciprocal adaptation between species, such as those observed between parasites and hosts. Parasites exhibit a high diversity of species and life history strategies, presenting host specificity which increases the complexity of these antagonistic systems. However, most studies are limited to the description of interactions between a few parasite and host species, which restricts our understanding of these systems as a whole. We investigated the effect of the developmental stage of the parasite on the structure of 30 metazoan fish-parasite networks, with an emphasis on the specificity of the interactions, connectance and modularity. We assessed the functional role of each species in modular networks and its interactions within and among the modules according to the developmental stage (larval and adult) and taxonomic group of the parasites. We observed that most parasite and host species perform a few interactions but that parasites at the larval stage tended to be generalists, increasing the network connectivity within and among modules. The parasite groups did not differ among each other in the number of interactions within and among the modules when considering only species at the larval stage. However, the same groups of adult individuals differed from each other in their interaction patterns, which were related to variations in the degree of host specificity at this stage. Our results show that the interaction pattern of fishes with parasites, such as acanthocephalans, cestodes, digeneans and nematodes, is more closely associated with their developmental stage than their phylogenetic history. This finding corroborates the hypothesis that the life history of parasites results in adaptations that cross phylogenetic boundaries.
Coordination with indirect messages in the stag-hunt game

We theoretically investigate the effect of allowing one-sided communication with costless indirect messages on stag-hunt game outcomes. Since Heinemann et al. (2009) show that players who avoid risk also avoid strategic uncertainty, we chose a sender's level of risk aversion as the indirect message. We show that if both sender and receiver interpret the message content similarly, it is possible that they end up either on the risk-dominant or on the payoff-dominant equilibrium. We also show that players in the extreme risk groups are willing to declare risk attitudes truthfully to increase the probability of coordination. On the other hand, players in the medium risk averse group are willing to mimic the risk-loving group to achieve efficient coordination.
Anesthetic effects of a combination of medetomidine, midazolam and butorphanol on the production of offspring in Japanese field vole, Microtus montebelli

Pentobarbital sodium (Somnopentyl) can induce surgical anesthesia with a strong hypnotic effect that causes loss of consciousness. Animals have been known to die during experimental surgery under anesthesia with Somnopentyl, causing it to be declared inadequate as a general anesthetic for single treatment. An anesthetic combination of 0.3 mg/kg medetomidine, 4.0 mg/kg midazolam and 5.0 mg/kg butorphanol (M/M/B:0.3/4/5) was reported to induce anesthesia for a duration of around 40 min in ICR mice; similar anesthetic effects were reported in both male and female BALB/c and C57BL/6J strains of mice. However, the anesthetic effects of this combination in Japanese field vole, Microtus montebelli, remain to be evaluated. In the present study, we assessed the effects of Somnopentyl and different concentrations of anesthetic combination (M/M/B:0.3/4/5, 0.23/3/3.75 or 0.15/2/2.5) in Japanese field voles, by means of anesthetic scores. We also examined effect of these anesthetics on production of offspring. Death of the animals was observed only with Somnopentyl. The anesthetic score of Somnopentyl was lower than those of the other anesthetics, although there were no significant differences in duration, body weight and frequency of respiratory among the evaluated anesthetics. Abortion rate with Somnopentyl was significantly higher than that with the M/M/B:0.23/3/3.75 combination, although there was no significant difference in the number of offspring between two. In conclusion, results of this study provide basic information for achieving appropriate anesthetic concentrations in addition to indicating a new, safe and effective surgical anesthetic for Japanese field voles.
An Empirically Derived Loss Taxonomy Based on Publicly Known Security Incidents

In this paper we focus on the losses related to information and IT security incidents. The loss dimension in terms of business impacts is often treated only superficially in current standards, best practices and the research literature. The main focus lies often on the impacts on properties of information and services like confidentiality, integrity and availability. We make a step in the direction of filling this gap by developing a more systematic taxonomy of losses. For this purpose publicly announced security incidents have been analysed using causeconsequence diagrams to identify different types of losses. The identified causes of incidents and the resulting types of losses have been classified using an enterprise model to distinguish different levels of abstraction. This exploratory and descriptive research yielded a) a preliminary taxonomy of losses related to security incidents, b) a validation of the enterprise model used as a frame for the analysis and c) different paths of propagation of causes of incidents.