Miracle-dz/UniFAR-FTUs huggingface dataset:
Convolutional Neural Network Based Multimodal Biometric Human Authentication using Face, Palm Veins and Fingerprint

security access control systems and forensic applications. Performance of conventional unimodal biometric systems is generally suffered due to the noisy data, non universality and intolerable error rate. In propose system, multi layer Convolutional Neural Network (CNN) is applied to multimodal biometric human authentication using face, palm vein and fingerprints to increase the robustness of system. For the classification linear Support Vector Machine classifier is used. For the evaluation of system self developed face, palm vein and fingerprint database having 4,500 images are used. The performance of the system is evaluated on the basis of % recognition accuracy, and it shows significant improvement over the unimodal-biometric system and existing multimodal systems.
Embedding eportfolios in teacher education: Lessons from a multi-year implementation

ePortfolios are being used in teacher education across Australia as a technology and as a process. They allow pre -and in-service teachers to showcase teaching practice against teaching standards and reflect on their practice throughout and after study. The University of Tasmania is implementing an eportfolio as an integral part of its Master of Teaching and Bachelor of Education programs to help with this process. This paper uses document analysis to describe the support strategies used in the previous two years of implementation of eportfolios at the university and outlines future plans for progressive implementation (including plans to change eportfolio technology and support implications). Some of the strategies used to implement eportfolios include: the use of a community of practice, the use of templates and scaffolds, support from LT and modelling/building exemplars of effective portfolio practice.
Potensi Fraksi Etanol Benalu Mangga (Dendrophthoe pentandra) sebagai Agen Anti Kanker Kolon pada Mencit (Mus musculus Balb/c) setelah Induksi Dextran Sulvat (DSS) danAzoxymethane (AOM)

ABSTRAK Penelitian ini bertujuan untuk mengetahui kemampuan Dendrophthoe pentandra dalam memperbaiki perubahan jaringan akibat kanker kolon. Fraksi etanol benalu manga diberikan pada tiga kelompok mencit dengan dosis 0,125 mg/gram BB, 0,250 mg/gram BB dan 0,500 mg/gram BB yang sudah diinduksi kanker kolon dengan 10 mg/kg AOM dan 5 % DSS dan setelah 11 minggu organ kolon diisolasi dan dibuat preparat jaringan dengan metode parafin H&E. Parameter yang diamati meliputi jumlah sel goblet dan abnormalitas struktur jaringan (dysplasia). Data diuji secara statistik menggunakan uji normalitas dan uji homogenitas.Hasil penelitian menunjukan terjadi perbaikan sel goblet pada perlakuan dosis fraksi etanol benalu mangga 0,500 mg/gram BB.Fraksi etanol benalu mangga mampu memperbaiki abnormalitas jaringan kolon yang ditunjukkan dengan tidak terjadinya dysplasia pada perlakuan fraksi etanol benalu mangga 0,250 mg/gram BB dan 0,500 mg/gram BB.Benalu mangga berpotensi sebagai agen anti kanker kolon. Kata kunci :AOM, benalu mangga, DSS, kanker kolon, nitrotyrosine , sel goblet
Flight Testing of Guidance, Navigation and Control Systems on the Mighty Eagle Robotic Lander Testbed

During 2011 a series of progressively more challenging flight tests of the Mighty Eagle autonomous terrestrial lander testbed were conducted primarily to validate the GNC system for a proposed lunar lander. With the successful completion of this GNC validation objective the opportunity existed to utilize the Mighty Eagle as a flying testbed for a variety of technologies. In 2012 an Autonomous Rendezvous and Capture (AR&C) algorithm was implemented in flight software and demonstrated in a series of flight tests. In 2012 a hazard avoidance system was developed and flight tested on the Mighty Eagle. Additionally, GNC algorithms from Moon Express and a MEMs IMU were tested in 2012. All of the testing described herein was above and beyond the original charter for the Mighty Eagle. In addition to being an excellent testbed for a wide variety of systems the Mighty Eagle also provided a great learning opportunity for many engineers and technicians to work a flight program.
Enhanced Optimal Feature Selection Techniques for Parkinson’s disease Detection using Machine Learning Algorithms

Parkinson disease is a common mass measurement problem in public health. Machine-based learning is used to differentiate between the stable and Parkinson's disease people. This paper provides a comprehensive review of the Parkinson disease buying estimate using machine-based learning approaches. A brief introduction is given to various methods of artificial intelligence, focused on strategies used to predict Parkinson disease. This paper also offers a study of the results obtained by using MRMR feature selection algorithms with four classifications for Parkinson’s disease detection using python
Tracking and User Interface for Mixed Reality

This chapter introduces the field of Mixed Reality that merges the real and virtual worlds seamlessly. To develop a Mixed Reality system, two fundamental problems should be addressed: tracking and user interface. Tracking in Mixed Reality is defined as the task of estimating the user's viewing pose. The goal of tracking is to achieve an accurate registration between real and virtual objects. In order to allow the user to interact e±ciently with the Mixed Reality scene, interaction techniques should be designed. A wide range of Mixed Reality applications, such as medical and entertainment applications, have been identified. We will focus on the new trends and applications in the area of Mixed Reality.
The Peer2Me Framework: A Framework for Mobile Collaboration on Mobile Phones

This project continues the work started in our depth study project in the fall of 2004, develop- ing a framework for mobile collaborative applications on mobile phones utilizing Personal Area Networks (PANs). This paper describes central, theoretical concepts connected to the Peer-to-Peer (P2P) comput- ing, the Mobile Ad Hoc NETworks (MANETs) and the Computer Supported Cooperative Work (CSCW) domains, focusing on "Same-Place-Same-Time" collaboration. We argue how the spread of PAN technology and mobile phones enable for a broad range of new collaborative applications supporting both collocated work and spontaneous interaction. Updated information about relevant technologies and related projects are discussed and evaluated. The requirements for the Peer2Me framework are presented and updated along with a revised and improved design. The design and the requirements are a product of an explorative development effort to develop the next generation of the Peer2Me framework using Java 2 Micro Edition and the Java APIs for Bluetooth wireless technology (JABWT). The Peer2Me framework is then tested on actual developers in a workshop arranged in May 2005. Data gathered from this workshop is used to illustrate the benefits of using a framework like Peer2Me for developing mobile collaborative applications. In addition to the actual Peer2Me framework implementation along with its Bluetooth network module, example applications are designed, implemented and tested in order to verify the suit- ability of the Peer2Me framework in the problem domain. These applications illustrate different kinds of aspects of the Peer2Me framework and the domain of mobile collaborative applications. The tests of these applications are done through enactment of the usage scenarios from which the applications were derived. The main results of this project are the technical products comprised of the Peer2Me framework, the Bluetooth Network module and the example Peer2Me applications, as well as the empirical data supporting the advantages of Peer2Me and the evaluations upon the suitability of the applied technologies.
Fusion of data from the object-detecting sensors of an autonomous vehicle

This paper describes Kalman filter based approaches for the fusion of data from object detecting sensors for an autonomous vehicle. The vehicle sensor system for object detection consists of several dissimilar sensors observing the whole environment of the vehicle. These sensors work independently from each other and are equipped with their own target recognition system such that pre-filtered target data is transmitted to the sensor fusion system. Three different approaches for the fusion of sensor data have been investigated and are described and evaluated in this paper.
Development of metacognitive skill in teaching mathematics

The study of metacognitive processes in the context of training and education is currently undoubtedly a priority in metacognitive psychology as a whole. The importance of this group of studies is due in many respects to the large representation of the class of processes in question in educational activities. At the same time, work in this area is not limited to a sample of primary school children, as this has been a significant amount of time. In recent years, the inclusion of the category of metacognition in education affects the educational activities of senior students, graduate students, and generally people involved in continuing education. The study described in this article aims at investigating the relation between the development of metacognition skills and success in learning algebraic identity formulas among middle school students. It uses a quantitative approach. Participants are about 50 students of 7th grade from Oral Bilim Innovation Liceum in Kazakhstan and are divided into two groups, namely experimental and control group. The data is collected by taking a pre-test and post-test from both classes. The diagnostic test is constructed by the researcher and confirmed by university professors. During the research students in the experimental group are familiarized with the concept of metacognition and its strategies such as thinking aloud, self-questioning, reflection and active learning strategies by applying them to solve problems with identity formulas. Finally, the data will be analyzed with t-test and much deeper conclusion will be drawn about the development of metacognitive strategies among students in teaching mathematics.
Benefits of Enterprise Integration Systems

Today, with various technology and business standards, organizations face rapid changes in both internal and external environments. To be able to rapidly respond to such changing environments, integration of software systems has entered among the top priorities of many organizations. However, despite extended use of software integration, methods for estimating the business value of implementing such integration are still missing. Besides presenting a conceptual model to define the benefits of systems integration and related causal relationships, this study proposes a method for measuring such benefits in monetary terms. In particular, we demonstrate how a mathematical programming technique called Data Envelopment Analysis (DEA) can be used to evaluate the business value of software integration. Our method is illustrated using data from 12 organizations. The results indicate significant productivity gains by integrating software systems, which represent the value of software integration in organizations.
Electromagnetic field distribution inside an automobile vehicle

Electromagnetic radiation phenomena due to electronic equipment inside an automobile have been analyzed from both numerical and experimental viewpoints. The numerical procedure is carried out using a hybrid method of a finite difference time domain (FDTD) and a transmission line technique (TL technique). This combined procedure is suitable for solving an automobile with long wires connected to an electric control in it. Numerical results were compared with experimental measurements with a real automobile, showing in a good agreement between them. Finally an FM radio antenna position that minimizes noise intensity caused by electronic control units was determined by the hybrid method.
Astro Boy and Anime Come to the Americas: An Insider's View of the Birth of a Pop Culture Phenomenon

The first generation of American television programmers had few choices when selecting Saturday morning children's programs for local stations. That changed dramatically in 1963 when a Japanese animated television series called "Tetsuan Atom" was acquired for distribution by a division of NBC. Fred Ladd adapted the show for American television - rechristened "Astro Boy", it was an overnight sensation. "Astro Boy's" popularity sparked a new industry in importing animated television to America from Japan. Ladd went on to adapt numerous Japanese animated imports for American release, and here provides an insider's view of the creation of what has blossomed into an ongoing cultural and media phenomenon.
Development of frameworks for steel manufacturing planning capability improvement using discrete event simulation

Customers of a steel manufacturing company now order a large number of low volume orders instead of a small number of high volume orders as they would have done just a few decades ago. The change in customer expectations has complicated production planning and scheduling within a steel manufacturing company. The aim of this research is to improve production planning and scheduling capability in steelmaking using one of the popular simulation techniques, called discrete event simulation. In this research it is observed that there are three major areas that need attention to improve production planning and scheduling capability. First, selection of optimal schedules and plans based on throughput, production time, stock size, and other production processing criteria. Next, incorporating cost into the criteria to select the schedules and plans will make the planning more cost effective and realistic at the same time. In addition, with the increased use of discrete event simulation modelling, there is a need to improve the model development efficiency and make the process less reliant on practitioners’ experience and capabilities, in order to improve the overall planning and scheduling capability. This thesis presents frameworks to address the three major areas for the capability improvement. This research adapts a systematic approach to validation. Theoretical, realisation, and empirical parts of the research were separately validated. Real life case studies were used for validation of each proposed framework. Discrete event simulation can improve the accuracy of production planning & scheduling and cost estimation for complex production systems. GA-based multi-objective optimisation can be successfully applied to optimisation of plans and schedules. Production planning and scheduling optimisation for some production areas provides a challenging problem to GAs. Cost estimation in the steel manufacturing company needs improvement because of the current lack of accurate costs of product families that affects quality of price management. The developed cost estimation technique is capable of providing more realistic cost for product families. The cost estimation technique would be useful for companies operating on volume-driven manufacturing processes rather than on unit-driven. Conceptual modelling needs to be improved in order to achievein model development efficiency and to make the process less reliant on practitioners’ experience and capabilities. A formal information collection process can aid conceptual modelling of production systems by further development of DES models for cost estimation. i
Pricing decisions in a strategic single retailer/dual suppliers setting under order size constraints

In this paper, we study a duopolistic market of suppliers competing for the business of a retailer. The retailer sets the order cycle and quantities from each supplier to minimize its annual costs. Different from other studies in the literature, our work simultaneously considers the order size restriction and the benefit of order consolidation, and shows non-trivial pricing behaviour of the suppliers under different settings. Under asymmetric information setting, we formulate the pricing problem of the preferred supplier as a non-linear programming problem and use Karush–Kuhn–Tucker conditions to find the optimal solution. In general, unless the preferred supplier has high-order size limit, it prefers sharing the market with its competitor when retailer’s demand, benefit of order consolidation or fixed cost of ordering from the preferred supplier is high. We model the symmetric information setting as a two-agent non-zero sum pricing game and establish the equilibrium conditions. We show that a supplier might set a ‘threshold price’ to capture the entire market if its per unit fixed ordering cost is sufficiently small. Finally, we prove that there exists a joint-order Nash equilibrium only if the suppliers set identical prices low enough to make the retailer place full-size orders from both.
PERSPECTIVES FOR THE DETECTION OF CANNABIS IN BREATH

Cannabis is the most frequently detected drug in many epidemiological studies on drugs and driving in Europe: 10% (median of 10 studies) of injured drivers and 7.6% of killed drivers are positive. The possibility of detecting cannabis in breath would greatly simplify controls in drivers, both for epidemiological studies and law enforcement. Only a few studies (all performed in the seventies and eighties) on cannabis in breath exist. Many studies were hampered by problems with the analytical technique. One wonders whether new detection techniques could increase the detection time. In order to have a sensitive and reliable detection of cannabis in breath, several aspects will have to be resolved: choice of the target molecule, sampling and enrichment method, avoidance of contamination by ambient air, sensitivity of detection, both for screening and confirmation. For the covering abstract see ITRD E106992.
Multivariable control of the space shuttle remote manipulator system using linearization by state feedback

This paper demonstrates an approach to nonlinear control system design that uses linearization by state feedback to allow faster maneuvering of payloads by the Shuttle Remote Manipulator System (SRMS). A nonlinear feedback law is defined to cancel the nonlinear plant dynamics so that a linear controller can be designed for the SRMS. First a nonlinear design model was generated via SIMULINK. This design model included nonlinear arm dynamics derived from the Lagrangian approach, linearized servo model, and linearized gearbox model. The current SRMS position hold controller was implemented on this system. Next, a trajectory was defined using a rigid body kinematics SRMS tool, KRMS. The maneuver was simulated. Finally, higher bandwidth controllers were developed. Results of the new controllers were compared with the existing SRMS automatic control modes for the Space Station Freedom Mission Build 4 Payload extended on the SRMS.
MicroRNA-450a/PPM1L Axis Contributes to The Malignant Phenotype of Glioma

MicroRNAs play an important role in glioma, and the function of miR-450a in glioma is unknown. We aimed to clarify the role and underlying mechanism of miR-450a in glioma. We analyzed the miR-450a expression and prognosis data of glioma patients from TCGA and CGGA databases. CCK8, colony formation, nude tumor formation, transwell and wound healing assay investigated glioma cells transfected with miR-450a inhibitor growth, invasion and migration, respectively. Bioinformatics and luciferase reporter assay were applied to predict and verify the direct target gene of miR-450a. In this study, we found that miR-450a expression was significantly higher in glioma tissues and cells than the normal tissues and cells, and there is a positive correlation between miR-450a expression and histopathological grade of gliomas. In addition, the glioma patients with high miR-450a expression exhibited poorer prognosis. Downregulation of miR-450a remarkedly suppressed glioma cells growth in vitro and vivo, and inhibited glioma cells invasion and migration. Luciferase reporter assay verified that PPMIL is a direct target of miR-450a. PPM1L silencing partially rescued miR-450a knockdown-induced suppressive effects on glioma cells. Therefore, our data demonstrated that miR-450a/PPM1L axis could mediate the malignant phenotype of glioma, which provided a feasible target for glioma therapy.
Influence of Biodiesel and Different Designed Diesel Fuels on the Exhaust Gas Emissions and Health Effects

The more stringent regulations for diesel engine emissions lead to the requirement that both fuels and engines must be developed jointly. In the future, so-called designer fuels will help to achieve the stringent limits.In our research, conventional diesel fuel, biodiesel, Swedish low sulfur diesel fuel MK1 and a specially designed diesel fuel were compared using a DaimlerChrysler diesel engine, running the modes of the ECE 49 test cycle. The results for regulated and non-regulated gaseous emissions, particulate matter size distributions as well as mutagenic effects of particle extracts are reported.
Öka intresset för programmering genom spelifiering

The prevailing shortage of people proficient in IT could affect Sweden’s economic growth. There’s a need for more graduates with the requested knowledge who can ensure that theIT industry continues to evolve. Gamification has been used in a variety of areas to increase user engagement, interest and motivation. There are already a couple of gamified platforms who have engaged millions of new users, for example Khan Academy and Codecademy. The purpose of this report is to examine how a gamified platform could be used to increase students' motivation to learn programming, as well as getting more of them interested in programming. Six students have participated in two surveys which have examined their motivation and interest, what deficiencies there are in the introductory programming course and how the popular gamified platform Codecademy affects their motivation and interest in programming. The result shows that all respondents appreciate Codecademy’s design and experience a high motivation while using the platform. Furthermore, the results indicate that the deficiencies found in the introductory programming course could partly be resolved with a gamified platform. The conclusions are that a gamified platform with a similar structure to Codecademy has the potential to increase student’s motivation for programming and would be a useful complement where the traditional course falls short. This could contribute to more students choosing to actively study programming instead of becoming discouraged.