Miracle-dz/UniFAR-FTUs huggingface dataset:
Near-infrared diffuse reflectance spectroscopy for discriminating fruit and vegetable products preserved in glass containers

Near-infrared (NIR) diffuse reflectance spectroscopy was used in combination with multivariate analytical methods to discriminate between different fruit and vegetable products preserved in glass containers, which are commonly used as receptacles for the pasteurization of fruit and vegetable products. To investigate the samples in this way, i.e. inside the sealed glass containers, is important for this specific application in a food processing facility. In order to adapt digitalization technologies to the pasteurization process, it is necessary to investigate usually consumed products with suitable sensors and data analytics. NIR spectroscopy in combination with multivariate data analysis is a mighty tool to unravel various issues in food research and industry. Thus, this combination is in the focus of this investigation. It is shown for the first time that the discrimination between five types of preserved food in glass containers is possible by using NIR diffuse reflectance spectroscopy and multivariate data analysis (including discrimination methods). The performance parameters sensitivity, specificity, and efficiency, are determined for every product group and analyzed in a misclassification table. On average, the results show that 95 % of ca. 2100 observations are correctly classified with partial least squares discriminant analysis (PLS-DA).
Group Sharing and Random Access in Cryptographic Storage File Systems

Traditional cryptographic storage uses encryption to ensure confidentiality of file data. However, encryption can prevent efficient random access to file data. Moreover, no cryptographic storage file system allows file sharing with similar semantics to UNIX group sharing. The Cryptographic Storage File System (Cepheus) provides confidentiality and integrity of data while enabling efficient random access and file sharing using mechanisms similar to UNIX groups. Cepheus uses a delayed-write-encryption policy for caching, delayed re-encryption for distributed re-encryption, and a hash tree structure beneath the inode for integrity. While maintaining confidentiality and integrity, the cost of reading a block is O(1) amortized over a sequential read of the entire file of n blocks. Writes execute in worst-case O(logn) time. Thesis Supervisor: Ronald L. Rivest Title: E. S. Webster Professor of Electrical Engineering and Computer Science
A Novel Combinatorics-Based Reconfigurable Bit Permutation Network and Its Circuit Implementation

Bit permutation is an important operation in many applications. A novel reconfigurable N ×N bit permutation network with a compact structure is presented. It is based on combinatorics theory by cascading two recursive N/2 × N/2 sub-networks, while each subnetwork is cascaded by two N/4×N/4 sub-networks, and so on cascaded until reaching the elementary 4 × 4 seed networks. Its routing algorithm is also established to determine each multiplexor’s status. Then the circuits of different sized permutation networks in a reconfigurable cipher co-processor were designed and implemented in 0. 18μm CMOS process. The proposed circuit can achieve an arbitrary n × n permutation and support all types of bit permutations in many cryptographic algorithms. Plus, it consumes less multiplexors than commonly used BENES and OMFLIP networks.
The relationship between motivation and human capital theory : 1.

Human Capital is hot research topic. To know more about ways how to evaluate and measure it via develop quantitative methods could add value both to theory and practice. Recognizing or measuring knowledge and skills of employees also has strategic importance. Lepak- Snell (1999) Becker (1962) and Schulcz et. al. (2013) speak in their paper about the level of motivation. A perfectly motivated employee is more valuable. But how can we measure the value of motivation? Based on Deci and Ryan's (2000) self-determination theory we should distinguish intrinsic and extrinsic motivation. Extrinsic motivation has different stadiums. The last phase of external stadium of motivation is the so called identified regulation. We have measured the levels of motivation (intrinsically and extrinsically) on a sample (N=471). In the paper, we search the answer for the question: how close identified regulation is to intrinsic motivation.
A Comparison of MEMS-Based IMU Calibration Models for Autonomous MAV Navigation

Micro Air Vehicles are a major field of research at the Institute of Aerospace Systems of the Technical University of Braunschweig, Germany. The current research activities are focused on the fully autonomous flight of the 40 cm wing span and 360 g MAV Carolo. For achieving fully autonomous flight control and navigation aircraft state determination is essential. For that purpose a MEMS-based Inertial Measurement Unit was developed. In addition to the six inertial sensors, a temperature sensor embedded into one inertial sensor provides temperature information. After a description of the developed miniaturized Inertial Measurement Unit, the calibration results for scale factor and bias versus temperature measurements will be presented. Calibration results are one calibration table for each inertial sensor containing scale factor, bias and misalignment angles as a function of the temperature measurement. The calibration tables will be approximated by first and second order functions in order to save computational power during on-board sensor data processing. Furthermore, a flight test with the university's research aircraft, a Dornier Do 128-6, equipped with the high-precision Inertial Navigation System Honeywell Lasernav and a Novatel OEM3 GPS receiver as reference was carried out. The results show that the calibration results can be confirmed by the reference sensors. First and second order approximations for the calibration tables turn out to provide equivalent navigation accuracy compared to the original calibration tables by saving computational power.
Cognitive control of sequential behavior

Movement can be considered as a crucial aspect of any living being, and has sometimes been considered as the main reason for the actual coming into existence of cognition. Most actions we perform in everyday life consist of series (sequences) of simple movements, by which we are able to attain fluent execution of more complex movement patterns. In this thesis, the mechanisms underlying motor sequence learning, as studied with the discrete sequence production (DSP) task, were investigated by focusing on response times, error rates and measures derived from the electroencephalogram (EEG). Results show that sequence learning in the DSP task is initially based on stimulus-response learning, but with practice sequence learning in the DSP task becomes based on multiple representations, which develop with practice. These representations can be effector dependent and effector independent. Measured derived from the EEG suggest the involvement of a general motor representation during the preparation of sequences, which is effector independent. The activity of this general motor representation decreases with practice, which suggests that with unfamiliar sequences response specifications are unknown and have to be filled in, whereas with familiar and mirrored sequences more response specifications are fixed in the general motor representation. Finally, to learn more about sequence learning we studied the differences in sequence learning in people with dyslexia. Dyslexics are thought to have difficulties with skill automatization, such as motor sequence learning. In this thesis it was shown for the first time that dyslexics were slowed in discrete sequence learning, as compared with controls. This agrees with the automatization deficit in dyslexics suggested by the cerebellar-deficit hypothesis.
Numerical simulation of the THz lasing in the cavity with graphene-based hyperbolic medium

THz wave emission in the cavity which contains the graphene-multilayer asymmetric hyperbolic metamaterials is investigated numerically using transfer matrix method. In was assumed that the gain saturation appears as the decrease of imaginary part of effective dielectric permittivity. Gain –loss balance predicts the intensity of THz lasing.
A New High Performance GPU-based Approach to Prime Numbers Generation

GPU Prime Numbers Sieve Algorithm Parallel Computing CUDA SIMD Parallelization is one of the most useful ways of decreasing the computation time and increases the performance of computation intensive algorithms. To do such process, we could execute some processes on several machines by using different platforms like MPI, OpenMP and distribute the workload by using message passing and shared memory. One of the most popular and high performance methods is using an array of graphical processors (GPU) which is used in this paper to present a new technique to save data and do computation by overclocking sieve algorithm make use of CUDA coding. This method shows a good performance upgrade in computation time and memory usage on generating prime numbers in compare with CPU handling.
Access Declarations: Revealing Data Access Patterns to Hardware

This work addresses the challenge of programming on Explicitly Managed Memory (EMM) systems. These systems are characterized by a multi-level memory hierarchy where small and fast memories are placed closer to the processor than larger and slower ones. Unlike conventional processors, hardware does not automatically move the data along the memory hierarchy; there is no automatic caching or prefetching. Instead, the onus of managing data placement falls on the software. EMM systems are under active research, and some are already in production, because of the potential to achieve high performance per watt. A key impediment to wide deployment of EMMs is programmability. Having to worry about moving data between the levels of the memory hierarchy is like going back to the pre-virtual-memory days where the programmer had to manually transfer data between the RAM and the hard disk. We argue that the way to overcome this challenge is to use the old idea of separation between the interface and the implementation, but take it to the new level. Our solution introduces a new interface construct, access declarations, that expands the contract between the application and the underlying runtime system. An access declaration augments the abstract data type (ADT) with a meaningful hint about how the application will access the data. Armed with this information, the underlying implementation can pick the optimal memory layout and fetching strategy for the ADT. We demonstrate the effectiveness of this approach on image processing, MapReduce, and graphs applications.
THE SUPERSPECTRAL/HYPERSPATIAL WORLDVIEW-3 AS THE LINK BETWEEN SPACEBORNE HYPERSPECTRAL AND AIRBORNE HYPERSPATIAL SENSORS: THE CASE STUDY OF THE COMPLEX TROPICAL COAST

Abstract. Earth observation of complex scenes, such as coastal fringes, is based on a plethora of optical sensors constrained by trade-offs between spatial, spectral, temporal and radiometric resolution. The spaceborne hyperspectral EO-1 Hyperion sensor (decommissioned in 2017) was able to acquire imagery with 10 nm spectral (220 bands) at 30 m spatial resolutions over 1424.5 km2 scenes. Conversely, the widespread unmanned airborne vehicle (UAV) hyperspatial DJI Mavic Pro camera can collect only natural-coloured imagery of 100 nm spectral (3 bands) but at 0.1 m spatial resolution over ∼10 km2 scenes (with a single battery and calm meteo-marine conditions). The spaceborne WorldView-3 (WV3), featured by 60 nm spectral (16 bands) at 0.3 m spatial resolution (when pansharpened) over 1489.6 km2 scenes, has the capacity to bridge both sensors. This study aims at testing the spectral and spatial performances of the WV3 to discriminate 10 complex coastal classes, ranging from ocean, reefs and terrestrial vegetation in Moorea Island (French Polynesia). Our findings show that geometrically- and radiometrically-corrected 0.3-m 16-band WV3 bands competed with (30-m) 167-band Hyperion performance for classifying 10 coastal classes with 2-neuron artificial neural network modelling, while being able to segment objects seized by 0.1-m (3-band) UAV. Unifying superspectral and hyperspatial specificities, the WV3 also leverages hypertemporal resolution, that is to say 1-day temporal resolution, rivalling UAV’s one.
Functional category production and degrees of severity: findings from Chinese agrammatism

ABSTRACT Background: People with agrammatism have profound deficits in producing functional categories. The Tree Pruning Hypothesis proposes that these deficits are attributed to the reduced ability to project higher nodes in the syntactic trees. However, it is not clear whether this theory can be used to account for the deficits of functional category production among Chinese-speaking agrammatic patients. Aims: The current study examined functional category deficits in Chinese-speaking agrammatic patients in relation to the degree of impairment severity in order to test the hierarchical nature of functional category deficits. Methods & Procedures: 21 Chinese-speaking patients with different degrees of severity and 10 non-brain-damaged controls participated in this study. The Chinese version of the Western Aphasia Battery and a picture description task were administered to examine the production of function words related to a Complementiser Phrase (CP), Tense Phrase (TP) and verb Phrase (vP). Outcomes and Results: The degrees of impairment severity had a significant influence on functional category deficits. All patients were relatively accurate at CP, regardless of their severity. The patients with severe aphasia had profound problems in both vP- and TP-related elements, whereas the patients with mild aphasia retained their ability to access to either. Specifically, the vP-related words were significantly more impaired than TP-related words. Conclusions: The asymmetrical deficits in functional category production suggest that the impairments might lie in the selection of lexical arrays at the vP phase, rather than functional categories per se. The findings provided the evidence for a lexically-based account for Chinese agrammatism.
Superconducting flux qubits for high-connectivity quantum annealing without lossy dielectrics

Author(s): Quintana, Christopher | Advisor(s): Martinis, John M | Abstract: Quantum annealing can potentially be used to find better solutions to hard optimization problems faster than purely classical hardware. To take full advantage of quantum effects such as tunneling, a physical annealer should be comprised of qubits with a sufficient degree of quantum coherence. In addition, to encode useful problems, an annealer should provide a dense physical connectivity graph between qubits. Towards these goals, we develop superconducting ``fluxmon'' flux qubits suitable for high-connectivity quantum annealing without the use of performance-degrading lossy dielectrics. We carry out in-depth studies of noise and dissipation, and of qubit-qubit coupling in the strongly nonlinear regime. We perform the first frequency-resolved measurements extracting both the quantum and classical parts of the 1/f flux noise intrinsic to superconducting devices, and observe the classical-to-quantum crossover of the noise. We also identify atomic hydrogen as a magnetic dissipation source. We then implement tunable inter-qubit coupling compatible with high connectivity, and provide direct spectroscopic measurements of ultra-strong coupling between qubits. Finally, we use our system to explore quantum annealing faster than the system thermalization time, a previously unaccessed regime.
AN ONTOLOGICAL FRAMEWORK FOR REQUIREMENT CHANGE MANAGEMENT IN DISTRIBUTED ENVIRONMENT

Global Software Development (GSD) is getting fame in the software industry gradually. However, in GSD, multiple and diverse stakeholders are involved in the development of complex software systems. GSD introduces several challenges, i.e. physical distance, time zone, culture difference, language barriers. As requirements play a significant role in any software development. The greatest challenge in GSD environment is to maintain a consistent view of the system even if the requirements change. But at the same time single change in the requirement might affect several other modules. In GSD different people use terms and have different ways of expressing the concepts for which people at remote sites are unable to get uniformity regarding the semantics of the terms. In a global environment requires effective communication and coordination. However, to overcome inconsistencies and ambiguities among the team members and to make the team members aware of the consistent view, a shared and common understanding is required. In this paper an approach beneficial to software industry has been proposed, focusing on changing requirements in a Global Software Development environment. A case study has been used for the evaluation of the proposed approach. Therefore, Requirements change management process has been improved by applying the approach of the case study. The proposed approach is beneficial to the software development organizations where frequent changes occur. It guided the software industry to provide the common understandings to all the development teams residing in remote locations.
To Go or Not to Go: Exploring brain activation during response inhibition reading tasks

Objective: Response inhibition is an understudied component of reading that aids in the selection of appropriate responses amidst complicated tasks. Our objective was to explore the contribution of brain regions associated with response inhibition processing in reading tasks that vary in difficulty of response inhibition. Method: Participants (N = 15) completed two go/no-go reading tasks while in a functional magnetic resonance imaging (fMRI) scanner, with the instructions to “name aloud the letter strings that spell a real word. ” For the minimal response inhibition condition, the foils, which are stimuli that should not be repsonded to, were nonwords with unfamiliar spelling and sound (e.g., “bink”). For the maximal response inhibition condition, the foils were pseudohomophones with unfamiliar spelling but familiar sound (e.g., “pynt”). The following brain regions associated with decision-making processes were analyzed: the anterior cingulate cortex (ACC), the dorsomedial prefrontal cortex (DMPFC), the inferior frontal gyrus (IFG), the middle temporal gyrus (MTG), the middle occipital gyrus (MOG), and the posterior insula (PI). Results: Significant differences in activation within the nonword task were found for the DMPFC and the PI (the ACC approached significance). Significant differences in activation within the pseudohomophone task were found for the ACC, the MTG, and the PI. The IFG was found to be greatly activated for all words that had familiar phonemes (sounds). The MOG was found to be activated across all tasks. Conclusion: We provide evidence for differential response inhibition processing in the decision-making network during reading tasks. This work is a necessary step in better understanding response inhibition ability for individuals with and without reading impairments.
Predicting Destination Image in Creative Tourism: A Comparative between Tourists and Residents

This study’s objective is to examine tourist and resident experiences of creative tourist attractions through the development of an experience quality-destination model and assess the interrelationships among model factors: experience quality, perceived value, satisfaction, and destination image. The research was conducted across several creative tourism attractions in Bandung, Indonesia including cultural/traditional dancing, crafting, painting and games. Self-administered questionnaires were distributed to the visitors after they enjoyed the experience. Of the 421 questionnaires collected, 400 were useable for further analysis. The hypotheses are examined by using Partial Least Square (PLS). The proposed experience quality-destination model is a good fit for both the tourist and resident samples. For the tourist sample, all the direct effects among variables in the model are significant except for perceived value’s effect on destination image. For the resident sample, experience quality directly influences perceived value, and perceived value directly affects both satisfaction and destination image. The total effect of experience quality on destination image is significant for both samples.
International Reference Life Cycle Data System (ILCD) Data Network - Compliance Rules and Entry-Level Requirements

The International Reference Life Cycle Data System (ILCD) provides a common basis for consistent, robust and quality-assured life cycle data and studies. Such data and studies support coherent SCP instruments, such as Ecolabelling, Ecodesign, Carbon footprinting, and Green Public Procurement. This guide is a component of the International Reference Life Cycle Data System (ILCD) Data Network. This document identifies the documents/sources for the implementation of the quality, method, nomenclature, review and documentation compliance rules of the International Reference Life Cycle Data System (ILCD) Data Network. These requirements build on the requirements of the ILCD Handbook with few further specified requirements to support the electronic data network. Files: lbnb24380enn.pdf [1] URI: Authors: WOLF Marc-Andree Publication Year: 2012 Type: EUR Scientific and Technical Research Reports
Development of Hot Stamping Technology for High Strength Steel Parts with Tailored Properties

In the context of lightweight vehicles, tailored properties high-strength steel parts play a vital role in improving safety under car collisions. Hot stamping technology provides good formability for manufacturing high-strength steel parts with tailored properties, and the hot stamping parts have high strength, small springback and good industrial promotion prospect. This paper summarizes the current state-of-the-art processes for the implementation of hot stamped parts with tailored properties, through intrinsic strategy and tailored welded / rolled blanks.
Adoption and impact of improved groundnut seed varieties among groundnut farmers: Case of Albasu Local Government Area of Kano State, Nigeria

The study assessed the level of adoption and impact of improved groundnut seed varieties among groundnut farmers in Albasu Local Government Area of Kano State, Nigeria. A multistage simple random sampling was used to select the respondents across local government area, wards and villages to give 120 respondents. Data were collection with structured questionnaire and analyzed with simple descriptive statistics, Z-test and logit regression analysis. Results showed that for both adopters and non-adopters, majority had mean ages of 44 and 41 years, mean household sizes of 7 and 6 people, had no formal education (21 and 46%), mean farm sizes of 2.2 and 1.4 ha, mean farming experience of 17 and16 years, no extension contact 21 and 64%, and low membership of cooperative 33 and 8%. There was low adoption (27%) of the improved seed varieties which impacted positively on the adopters (Z-value= 3.727, p