Miracle-dz/UniFAR-FTUs huggingface dataset:
The Research of Wireless Channel Feature Extraction and Channel Discrimination

In different environments, there are some differences characteristics of the wireless channel. These differences are called "fingerprint". Extracting the "fingerprint" characteristics of different channels in different environment is very important to the development of wireless communication. This paper is focus on the problem of "fingerprint extraction". Through wireless channel signal inversion and K-means clustering and compressed sensing, establishing an adaptive clustering model. And then establish a reasonable "fingerprint" feature with the existing data and relevant physical background. Use MATLAB to solve the model and verify the accuracy. Computer verification and comparison analysis show that this model can be used to identify the wireless channels with high accuracy.
Building Digital Memories for Augmented Cognition and Situated Support

Limitation of the human memory is a well-known issue that anybody has experienced. This chapter discusses typical components and processes involved in the building and the exploitation of augmented memories. SPECTER, an adaptive, self-learning system supports the user in everyday activities by interpreting sensor information captured in the environment and deriving adequate suggestions for actions to be taken in the current situation. A particular form of introspection allows the user to reflect on the digital memory’s contents and the system behavior, thus leaving the user in control. An empirical study in a shopping scenario evaluates the benefits and limitations of the approach taken. Building Digital Memories for Augmented Cognition and Situated Support
Cmos downsizing: Present, past and future

The evolution process of Complementary Metal Oxide Semiconductor (CMOS) is very important for the modern technology. CMOS beyond 22nm and toward 7nm faced many challenges and opportunities in design.The downsizing evolution is reviewed on scaling theory as well as limitation issues focusing on performance, power utilization, economical, technological and reliability issues.It is expected that the CMOS sizelimit of 7nm of physical gate length will be overcome in 2018 by using High-k materials. Besides, high-k dielectric materials can reduce the current leakage problem. Behind the transistor downsizing, the lithography technology is one of the key important processes. Several issues are being highlighted and discussed in term of performance, power utilization, material, economical, and technological limitations.
Automatic detection of lameness in dairy cattle – Image features related to lameness

The objective of this research is to develop and analyze image parameters correlated with expert gait scores that are applicable for continuous lameness detection. Experiments were done on ILVO farm in Ghent Belgium in August/September 2007. A camera recorded postures and movements of lactating Holstein cows. The parameters trackway overlap and spine arch were calculated for 10 cows. Evaluation showed that the parameters contain information that can be related to lameness. Results show that each image parameter has a relation to gait scores given by experts. It shows trackway overlap and spine arch are useful for lameness detection. A further goal is the development of an automatic on-line lameness detection tool after analyzing more lame cows and more image parameters.
A Mathematical Model for Network Self-Organized Evolvement

This paper develops a self-organized dynamic network model based upon the network's self-organization natures.In this new model,network behavior is treated with nodes' trade-off between the value of information and the cost of establishing link,and the evolvement of network is described as a convergent stochastic process.The paper gives a detailed deduction for the possible result of network evolution.It should be pointed out that PGP(pretty good privacy) certificate network is a good example of this model.Furthermore,according to the change of parameters of the model,the self-organized evolvement exhibits multiform possible results.This phenomenon is consistent with self-organized criticality theory.The work provides a new method for the topological model research and self-organization theory in computer network.
The Buffering Role of Social Support on the Relationship between Job Stress and Intention to Leave

This study aimed to test the buffering role of social support on the relationship between job stress and intention to leave through investigating different aspects of job stressors and support sources. Participants were 116 white-collar employees from various sectors in Turkey. The results indicate that supervisor support has reverse buffering effects on the relationship between “role and work overload” and “role insufficiency” with “intention to leave. ” Also, coworker support has a reverse buffering effect on the relationship between “role and work overload” and “intention to leave. ” This study is important since it demonstrates that the moderating role of social support may vary for distinct job stressors.
Fog Computing: Security in Cloud Environment

The distributed computing attempts to improve performance in large-scale computing problems by resource sharing. Moreover, rising low-cost computing power coupled with advances incommunications/networking and the advent of big data, now enables new distributed computing paradigms such as Cloud, and Fog computing. Cloud Computing provides us a means of accessing the utilities as applications through internet. The users are provided with on-demand resources for their organizations. Although Cloud Computing increases the performance it also has some downsides like data theft and various attacks. This enables the intruder for the misuse of data and also interpretation of highly confidential data for illegal purpose. For securing user data from such attacks a new paradigm called Fog Computing. This can monitor the user activity to identify the legitimate access and prevent from any unauthorized access of data. In this paper we have discussed about Fog Computing for preventing misuse of user data and provide security.
ПРИМЕНЕНИЕ КОМПЬЮТЕРНЫХ ЭКСПРЕСС-ТЕСТОВ НА СЕМИНАРСКИХ ЗАНЯТИЯХ ПО ФИЗИКЕ О. Г. Альтшулер, О. М. Колесников, Т. Ю. Павлова USE OF COMPUTER EXPRESS-TESTS AT SEMINARS ON PHYSICS

В данной работе описаны результаты внедрения в учебный процесс вуза экспресс-тестирования с помощью тестовых заданий в виде интерактивных слайдов, разработанных с помощью программы Microsoft PowerPoint. Оценка эффективности экспресс-тестирования проведена как по его воздействию на результаты итоговой проверки знаний, так и с помощью анкетирования студентов по вопросам его применения. This paper describes the results of the use of express-testing in the university educational process with interactive presentations slides, developed using Microsoft PowerPoint. The effectiveness of the method was estimated by comparing testing results and by questioning students about computer express-testing. Ключевые слова: тестирование, компьютерное тестирование, тестовые задания.
Application of Abstraction Hierarchies to Incorporate Human Knowledge for Machine Learning

We evaluate the use of the Abstraction Hierarchy (AH) modeling technique from Work Domain Analysis (WDA) to generate policies suitable for use by a reinforcement learning agent. The paper extends previous work utilizing the classic arcade game, Pac-Man to the more complex world of Mario Bros. This paper presents the investigation of AHs for Mario Bros. to generate options and constraints for a reinforcement learning agent. For both games, AHs were generated for high and low performers using qualitative data. The differences between high and low performers’ AHs were translated into sets of options and constraints as suitable information into machine learning algorithms. A general AH form, which was built to enable researchers to generate an AH for simple game domains using the results of the previous study and this study, supports that an AH for another simple game might be generated using only quantitative data collected from game play and the observations of a researcher.
The Impacts of Environmental Regulations on Competitiveness

This article reviews the empirical literature on the impacts of environmental regulations on firms’ competitiveness as measured by trade, industry location, employment, productivity, and innovation. The evidence shows that environmental regulations can lead to statistically significant adverse effects on trade, employment, plant location, and productivity in the short run, in particular in a well-identified subset of pollution- and energy-intensive sectors, but that these impacts are small relative to general trends in production. At the same time, there is evidence that environmental regulations induce innovation in clean technologies, but the resulting benefits do not appear to be large enough to outweigh the costs of regulations for the regulated entities. As measures to address competitiveness impacts are increasingly incorporated into the design of environmental regulations, future research will be needed to assess the validity and effectiveness of such measures and to ensure they are compatible with the environmental objectives of the policies.
The Influence of Water and Solvent Uptake on Functional Properties of Shape-Memory Polymers

In this contribution, diffusion of water, acetone, and ethanol into a polymer matrix has been studied experimentally and numerically by finite element approaches. Moreover, the present study reports an assessment of different thermomechanical conditions of the shape-memory (SM) performance, for example, stress- or strain-holding times in stress- or strain-controlled thermomechanical cycles and the effect of maximum strain. According to the results presented here, the uptake of acetone in Estane is much higher than ethanol and follows classical Fickian diffusion. Further, a series of thermomechanical measurements conducted on dry and physically (hydrolytically) aged polyether urethanes revealed that incorporation of water seems to have an appreciable impact on the shape recovery ratios which can be attributed to the additional physical crosslinks. However, no obvious difference in shape fixation of dry and physically (hydrolytically) aged samples could be recognized. Furthermore, by decreasing the strain-holding time, shape recovery improves significantly. Moreover, the shape fixity is found to be independent of holding time. The shape recovery ratio decreased dramatically with an increase in the stress-holding time.
Research on the Relationship between Organizational Justice and Organizational Citizenship Behaviors

Organizational citizenship behaviors have been widely referred in the field of management, and there are many researches about OCB, among which, one of the most significant issue is the relationship between organizational justice and OCB. Organizational justice can affect individual’s role cognition and behavior, and the occurrence of individual’s OCB is based on the background of organizational justice. This paper has reviewed the researches on the relationship between organizational justice and OCB at home and abroad, and according to the different emphasis, aim to give some helpful suggestions on indigenous research.
Head Injury Prediction Methods Based on 6 Degree of Freedom Head Acceleration Measurements during Impact

Over four thousand data sets of 6 DOF (degree of freedom) (3 linear + 3 angular) accelerations measured at the head CG (center of gravity) were obtained from 19 college football players who voluntarily participated. Of these impacts, one hundred cases with high angular velocity were selected, and the set of 6 DOF head accelerations was applied to a detailed human head brain FE model. This study predicted the maximum 1 principal strain and CSDM (Cumulative Strain Damage Measure) for each set and found significant correlations between CSDM and a proposed criterion with angular velocity and acceleration of the head CG.
Teaching millennial surgeons

Surgical training has been evolving with time. We describe the major drivers for these changes that have taken surgical training to where it is today. As we look forward to training the millennial generation, we need to reflect on the current mass adoption of technology. The simplicity and improved access to communication and information is now revolutionising the way we practice health care and the way surgeons train.
Title : Off-the-Hook : An Efficient and Usable Client-Side Phishing Prevention Application Year : 2017 Version : Preprint

Phishing is a major problem on the Web. Despite the significant attention it has received over the years, there has been no definitive solution. While the state-of-the-art solutions have reasonably good performance, they suffer from several drawbacks including potential to compromise user privacy, difficulty of detecting phishing websites whose content change dynamically, and reliance on features that are too dependent on the training data. To address these limitations we present a new approach for detecting phishing webpages in real-time as they are visited by a browser. It relies on modeling inherent phisher limitations stemming from the constraints they face while building a webpage. Consequently, the implementation of our approach, Off-the-Hook , exhibits several notable properties including high accuracy, brand-independence and good language-independence, speed of decision, resilience to dynamic phish and resilience to evolution in phishing techniques. Off-the-Hook is implemented as a fully-client-side browser add-on, which preserves user privacy. In addition, Off-the-Hook identifies the target website that a phishing webpage is attempting to mimic and includes this target in its warning. We evaluated Off-the-Hook in two different user studies. Our results show that users prefer Off-the-Hook warnings to Firefox warnings.
THE FIVE STAGES OF BUSINESS PROCESS MANAGEMENT MATURITY MODEL

Business Process Management (BPM), in diverse forms, has been around for the last 30 years. During this time BPM has progressed to a holistic management approach that has a distinctive level of complexity resulting in part from the infinite of implementation options available. The popularity and significance of BPM lead to the question of how advanced different organizations are in their BPM development. The notion of maturity has been proposed for a number of management approaches as a way to evaluate the fullness or perfection of growth or development. This paper describes business process management as a new paradigm for competitive advantage. Also, the paper presents the five stages of the business process management maturity model that has been developed for the evaluation and advancement of BPM effectiveness across organizations.
Advanced methods for testing multi-core SoCs

Είμαστε στην αυγή της νέας εποχής του «Ιντερνέτ των πραγμάτων». Νέα, καινοτόμα «πράγματα» για τον ιδιώτη και τις επιχειρήσεις εμφανίζονται με ολοένα αυξανόμενο ρυθμό και υπόσχονται να βελτιώσουν την ποιότητα της ζωής μας αλλά και την εικόνα της παγκόσμιας οικονομίας. Κοιτώντας βαθιά μέσα στον εγκέφαλό των «πραγμάτων» μπορούμε να δούμε επεξεργαστές που ακολουθούν τον σχεδιασμό του συστήματος σε ολοκληρωμένο. Η μείωση του κόστους παραγωγής και η διαχείριση της καταναλισκόμενης ισχύος των συστημάτων σε ολοκληρωμένα αποτελούν ίσως τις σημαντικότερες προκλήσεις που αντιμετωπίζει σήμερα η βιομηχανία κατασκευής τους. Υπό το παραπάνω πρίσμα, η βιομηχανία αναζητά συνεχώς νέες, πιο αποτελεσματικές σχεδιαστικές λύσεις ως προς το κόστος και τη διαχείριση ισχύος για τα προϊόντα της. Μια από αυτές τις λύσεις είναι και η τεχνική της δυναμικής κλιμάκωσης της τάσης και της συχνότητας λειτουργίας ενός συστήματος σε ολοκληρωμένο, καθώς και η δημιουργία ξεχωριστών νησίδων τάσεων λειτουργίας. Ωστόσο, η χρήση των παραπάνω τεχνικών επηρεάζει σημαντικά την διαδικασία ελέγχου ορθής λειτουργίας του συστήματος σε ολοκληρωμένο τόσο ως προς την διαδικασία όσο και ως προς το κόστος. Η έρευνά μας εστιάζει στην ανάπτυξη ολοκληρωμένων, αποτελεσματικών και υπολογιστικά φιλικών μεθοδολογιών ικανών να ελαχιστοποιήσουν το κόστος ελέγχου ορθής λειτουργίας μικρών, μεγάλων και πολύ μεγάλων πολυπύρηνων συστημάτων σε ολοκληρωμένα. Θεωρούμε ότι τα συστήματα σε ολοκληρωμένα εφαρμόζουν τεχνικές διαχείρισης ισχύος όπως η δυναμική κλιμάκωση της τάσης και της συχνότητας λειτουργίας και οι νησίδες τάσης λειτουργίας και ότι ο έλεγχος ορθής λειτουργίας διεξάγεται υπό ένα σύνολο περιορισμών σχετικών με την κατανάλωση ισχύος.
Word Multi-Domain Semantic Polarity Algorithm Based on Domain Standard Word Set

Text orientation is one of the most important base work in web semantic calculation. The semantic polarity of words is the basis element of text sentiment. But in traditional word orientation algorithm, each word gets orientation value based on its distance with these words in the standard word list. So the word polarity is always the same value. But in fact, the word may express different polarity in diverse domains. In this paper, word polarity is calculated based on domain standard word list according to its part of speech. The domain standard list is established by search engine result. The experimental result shows that the domain standard word set for word orientation can increase the accuracy rate of comments orientation calculate.
Variable speed limit control based on the extended link transmission model

In this paper, the link transmission model (LTM) is extended to include the effects of variable speed limits (VSL) and consequently to provide variable speed limit control for trafﬁc networks modeled by LTM. The LTM has recently been developed for route assignment, but in this paper the LTM is modiﬁed to be used for control purposes. By this we achieve a model that provides a balanced trade-off between accuracy and computational complexity, and hence it is useful for on-line model-based trafﬁc control. Nevertheless the extension of the model for ramp metering and speed limit control needs careful attention. Since the LTM lacks explicit velocity equations focus is on other potential sources that could imitate the inﬂuences of VSL. The delays inside the model are manipulated in order to achieve the mentioned goal. Moreover, we take into account different situations that may occur in reality based on changes in VSL and different trafﬁc conditions. Finally, the total extensions are veriﬁed using simulation and real data. To this aim, the VSL extension integrated in the LTM is veriﬁed using simulations for a benchmark case study (in order to show performance of the extended LTM clearly). Next, the LTM is calibrated by real data collected from the A12 Freeway in The Netherlands. The optimal parameters of the model are identiﬁed using a global optimization method. Comparison with real data from a period of time that VSL installed on the freeway are active, shows acceptable performance of the total extended and calibrated LTM.
Kinematics Inverse Solution and Optimization of 6DOF Welding Robot with MATLAB

Usually there are more than one inverse solutions to kinematics equation of general industrial robot,while the robot control-system will only use one optimized solution as the optimal solution to drive the robot,so the kinematics inverse solutions should be optimized and chosen.Due to the complexity of the inverse solution and based on the analysis of the welding robot's positive and inverse kinematics solution,a method that use the MATLAB GUI programming to solve the inverse solution and the shortest stroke principle to automatic search for the optimal solution of the robot is proposed.Compared with other methods,this method is simple and clear,and the computing speed is fast.Finally two group of calculating examples are given to verify the correctness of the result calculated with this method.
FSSPCM: Fuzzy Publication of Data for Privacy Preserving

The rapid development of information technology makes it convenient to release, collect, store and analyze various types of data. At the same time, how to protect the privacy of individual and prevent disclosure of sensitive information during data publication has become a major challenge. K-anonymity method is the most widely used privacy protection model and has been well researched. However, generalization and suppression operations used in K-anonymity methods require high computational effort and cause excessive loss of original information, which will greatly reduce the availability of data after publishing. The paper proposed a transformation algorithm for privacy preserving data publishing based on fuzzy semantic set pair cloud model (FSSPCM). It transforms the sensitive attributes into the form of fuzzy semantic values, and privacy of individual has been maintained because exact values cannot be predicted after data publishing. In order to enhance the availability of data after publishing, semantic distinction (SD) and reserve degree (RD) are designed to reflect relationships between original data and fuzzy semantic information after transformation according to different characteristics of numerical sensitive attributes and categorical sensitive attributes. Experiments and analysis demonstrate the effectiveness of the proposed method both on numerical and categorical sensitive attributes. Classification performed on original and transformed information proves the proposed method maintains higher clustering similarity after fuzzy transformation, which will provide better availability for data mining and other processing.
Use of iterative learning control on improving intra-oral hydraulic loading system of dental implants

This study presents the control design and tests of an intra-oral hydraulic system for quantitatively loading of a dental implant. The computer-controlled system was developed and employed for better pressure error compensation by PID (proportional-integral-derivative) control and point-to-point iterative learning algorithm. In vitro experiments showed that implant loading is controlled constantly (error<10%) for 0.5 Hz loading with various percentages of air inclusion up to 20% of the total hydraulic volume. The system can be potentially used for in vivo animal studies for the improved design of dental implants.
Performance Enhancement in Hill-Climbing Approach for Test Case Prioritization using Functional Dependency Technique

Test case prioritization is basically the process of prioritizing the execution order of test cases in order to increase the fault detection rate. If fault detection rate is being gradually improved during regression testing then it will provide faster feedback to system developers which ultimately deliver the software earlier. Many of the existing test case prioritization techniques illustrated that test cases can be executed in any order but the concept of functional dependency plays an important role between test cases. In this paper we have described about testing, its types, test case prioritization and its techniques. Regression testing is normally being used to retest the component of a system that verifies that defects are removed or not from the effected part of the software after modifications. This paper enhances the hill climbing approach for test case prioritization by using functional dependency technique. This prioritization approach schedules test cases based upon functional dependency technique . Our approach is quiet efficient as compare to any other technique. Regression testing is quite popular as it helps to make the system error free after modifications.