Reviewerly/exHarmony huggingface dataset:
Unit Impulse Response as an Explainer of Redundancy in a Deep Convolutional Neural Network

Convolutional neural networks (CNN) are generally designed with a heuristic initialization of network architecture and trained for a certain task. This often leads to overparametrization after learning and induces redundancy in the information flow paths within the network. This robustness and reliability is at the increased cost of redundant computations. Several methods have been proposed which leverage metrics that quantify the redundancy in each layer. However, layer-wise evaluation in these methods disregards the long-range redundancy which exists across depth on account of the distributed nature of the features learned by the model. In this paper, we propose (i) a mechanism to empirically demonstrate the robustness in performance of a CNN on account of redundancy across its depth, (ii) a method to identify the systemic redundancy in response of a CNN across depth using the understanding of unit impulse response, we subsequently demonstrate use of these methods to interpret redundancy in few networks as example. These techniques provide better insights into the internal dynamics of a CNN
Subjective Evaluation of Pupillary and Cardiovascular Parameters

The biomedical influences evoked by presentation of images have been studied in efforts to prevent biomedical hazards such as asthenopia and other symptoms of the VDT syndrome evoked by using video displays in the business offices. In this study, changes in the pupillary light reflex and cardiovascular reflex evoked by watching three different stereoscopic video movies were measured in healthy young subjects, and related with the subjective assessment of discomfort measured as scores of the questionnaire collected at the same time.
Recent advances in the scholarly communications landscape : Plan S & its implications

The presentation describes the slow progress in Open Access implementation against the stated objective of full immediate access by 2020 that has given rise to Plan S and goes through its principles and requirements for Open Access publishing. It's argued that there is no single strategy for an effective implementation of Plan S, but that this will instead involve a combination of different co-existing paths including Read & Publish deals with publishers, Green Open Access with no embargo periods (presumably via the UK Scholarly Communications Licence), pre-prints and the exploration of new business models for learned societies.
Efficient Closely-Coupled Integration of AES Coprocessor with LEON3 Processor

This paper proposes an efficient closely-coupled method for integrating the widely used Advanced Encryption Standard (AES) hardware as a coprocessor IP core in the LEON3 processor-based System-on-Chip (SoC) design. As AES is increasingly being used in Internet of Things (IoT) and Edge computing devices to secure transmission of sensitive data, this method can be used to reduce the energy consumption in embedded applications. The closely-coupled method presented in this paper combines the benefits of both the traditional tightly-coupled and the industry prevalent bus-coupled approaches. The proposed method provides higher performance along with portability, to address the demand of higher processing power and reduced time-to-market. A maximum of 10% reduction in number of clock cycles was achieved in our experiments which translates to significant energy saving compared to industry prevalent bus-coupled hardware coupling method.
Environment Perception for Autonomous Driving : A 1/10 Scale Implementation Of Low Level Sensor Fusion Using Occupancy Grid Mapping

Autonomous Driving has recently gained a lot of recognition and provides challenging research with an aim to make transportation safer, more convenient and efficient. This emerging technology also ...
Towards a national web archive in a federated country : a Belgian case study

Despite its long history, the Belgian web is currently not systematically archived. Without a Belgian web archive there is a significant risk that essential born digital resources for historians will be lost forever. This chapter traces the history of the web in Belgium, from the establishment of the. be domain in 1988 to the present day, situating it within the Belgian historical, political, and legal context. PROMISE, a research project, which investigates the feasibility of developing a sustainable web archiving service for Belgium, is introduced. The results of two web archive pilots are presented and the importance of research use of the future Belgian web archive is stressed.
Analysis of Agricultural Machinery System Based on Virtual Prototyping

The virtual prototype technology has become one of the essential means at present to improve the design performance of modern products. The application of virtual prototype technology can simplify the design and development process of mechanical products, shorten the product development cycle, reduce the development costs and improve the system-level performance of the product, to obtain optimized and innovative design products. After the establishment of the agricultural machinery system test platform, to implement the virtual prototype simulation of the platform, an experimental study is carried out on the production characteristics of objects with different mechanical features in different agricultural environments under very low frequency (10 Hz) agricultural incentive. Subsequently, based on summarizing the characteristics research mentioned above, the agricultural machinery system algorithm based on the virtual prototype is put forward, and precision production test to objects with different properties is implemented in different agricultural environments on the test platform. A kind of agricultural machinery system based on the virtual prototype is proposed successfully. The virtual prototype has verified the feasibility and effectiveness of the agricultural machinery system in the scheme and provided the basis for further engineering application and related characteristics research of the technology.
Geological Survey of South Australia: An update

The Geological Survey of South Australia and Geoscience Australia are pleased to announce the completion of the acquisition phase of the 1.67 million line kilometre Gawler Craton Airborne Survey (G...
Vocal Tract Length Normalization using a Gaussian mixture model framework for query-by-example spoken term detection

Abstract A speech spectrum is known to be changed by the variations in the length of the vocal tract of a speaker. This is because of the fact that speech formants are inversely related to the vocal tract length (VTL). The process of compensating spectral variation due to the length of the vocal tract is known as Vocal Tract Length Normalization (VTLN). VTLN is a very important speaker normalization technique for speech recognition and related tasks. In this paper, we used Gaussian Posteriorgram (GP) of VTL-warped spectral features for a Query-by-Example Spoken Term Detection (QbE-STD) task. This paper presents the use of a Gaussian Mixture Model (GMM) framework for VTLN warping factor estimation. In particular, the presented GMM framework does not require phoneme-level transcription. We observed the correlation between the VTLN warping factor estimates obtained via a supervised HMM-based approach and an unsupervised GMM-based approach. In addition, a phoneme recognition and speaker de-identification tasks were conducted using GMM-based VTLN warping factor estimates. For QbE-STD, we considered three spectral features, namely, Mel Frequency Cepstral Coefficients (MFCC), Perceptual Linear Prediction (PLP), and MFCC-TMP (which uses Teager Energy Operator (TEO) to exploit implicitly magnitude and phase information in the MFCC framework). Linear frequency scaling variations for VTLN warping factor are incorporated into these three cepstral representations for the QbE-STD task. Similarly, VTL-warped Gaussian posteriorgram improved the Maximum Term Weighted Value by 0.021 (i.e., 2.1%), and 0.015 (i.e., 1.5%), for MFCC and PLP feature sets, respectively, on the evaluation set of the MediaEval SWS 2013 corpus. The better performance is primarily due to VTLN warping factor estimation using unsupervised GMM framework. Finally, the effectiveness of the proposed VTL-warped GP is presented to rescore using various detection sources, such as depth of detection valley, Self-Similarity Matrix, Pseudo Relevance Feedback and weighted mean features.
How to Implement Human Information Behavior Concept for Your Design?

This workshop aims at introducing some key issues in human information behavior, emphasizing the role of human behavior as a provider information for your design. The workshop addressed the following issues: 1. What are the information needs of the users? 2. How are these information needs presently satisfied? And how to consider context of information need (person in context) and information seeking behavior of users for designing the system. This workshop focuses on analysis of relationship between people and information, rather than with the technology. At the end of this workshop the participants will get the knowledge and practice about the information searching, seeking, and user behavior. The previous studied shows the empirical research studies related human information behavior in the several contexts and aspects [1-5].
PENGEMBANGAN MEDIA PEMBELAJARAN ILMU PENGETAHUAN ALAM BERBASIS SWISHMAX DI MIN 2 PALEMBANG

The purpose of this study was to determine the level of validity, practicality and effectiveness of the development of Swishmax-based Natural Sciences learning media in IVG MIN 2 Palembang. This research method uses Research and Development (R &amp; D) methods. The research and development model used is the tressmer model with the stages of research: the preliminary stage (preparation and design), the formative evalution stage (self evaluation, expert review, one to one, small group, and field test). Data collection techniques using questionnaires and tests. Data analysis techniques use percentages. The results of this study include: (1) Development of Swishmax-based Natural Sciences learning media in Palembang IVG MIN 2 Class can be categorized as valid. This is indicated by the acquisition of media expert validation scores of 84.5, language experts 82, and material experts 90; (2) The practicality level of the application of the development of Swishmax-based Natural Sciences learning media in Palembang IVG MIN 2 Class is very practical. This can be seen from the acquisition of the average questionnaire score of 100 in the field test stage; (3) The effectiveness of the development of Swishmax-based Natural Sciences learning media in Palembang IVG MIN 2 Class is very effective. It is known that the level of mastery learning in classical students reaches 95% in the field test stage.
Adversarial Edit Attacks for Tree Data

Many machine learning models can be attacked with adversarial examples, i.e. inputs close to correctly classified examples that are classified incorrectly. However, most research on adversarial attacks to date is limited to vectorial data, in particular image data. In this contribution, we extend the field by introducing adversarial edit attacks for tree-structured data with potential applications in medicine and automated program analysis. Our approach solely relies on the tree edit distance and a logarithmic number of black-box queries to the attacked classifier without any need for gradient information. We evaluate our approach on two programming and two biomedical data sets and show that many established tree classifiers, like tree-kernel-SVMs and recursive neural networks, can be attacked effectively.
A new parallel model for starter sets generation via exchanging two elements

Generating permutation can be done in many ways. One of them is via starter sets which are obtained using exchange operation strategy and exploit them to list down all permutations. It was found that the process of generating permutations requires lengthy time. However, this drawback can be overcome by running the task using several processors. In this study, a technique of parallelization across the method was employed to develop new parallel algorithm for finding all permutations under exchanged restrictions. The numerical results reveal that the new approach is efficient only for case when the number of initial starter sets is equally divisible.
A SCALABLE APPROACH FOR SPATIO-TEMPORAL ASSESSMENT OF PHOTOVOLTAIC ELECTRICITY POTENTIALS FOR BUILDING FAÇADES OF ENTIRE CITIES

Abstract. This paper describes results on the development of a completely FOSS-based approach assessing the electricity production potential by building façade PV. To estimate solar irradiation the hemispherical view-shed approach described by (Fu, 1999) was used. Combining it with an approach to dissect walls into regular 3D hyper-points (1-meter spacing) the sun visibility and the sky viewshed throughout the year are calculated. This results in global irradiation per hyper-point. To estimate the economic potential of each façade element an economic model was developed. This is driven by technical parameters of the installation, such as module efficiency, installation and maintenance costs, figures about payback tariffs and envisaged module lifetime. The overall result is a city-wide PV suitability and economic potential map of every building façade.The processing is based on a city model in CityGML format using the 3DCityDB database and the spatial processing functionalities of PostGIS. A set of Python scripts has been developed as a central control instance and manage parallel processing of queries against the database to achieve scalability and improved performance. We run a case study with approximately 7000 single façade elements which are processed. Since we implemented a parallel computation of the façades running on an 80-core dedicated server machine, the completion for an entire city of about 3 million hyper-points points uses a decent amount of time for the given size of the data set. The chosen approach is highly scalable, robust and can be easily implemented through standard tools and libraries.
Network and Information Security Characters and Threats

Focus on International novel Network research period that digital time arrives and became more prosperous after stretching of extra testing. Undergone a fantastical meditate according to the characteristics in related areas as openness and to encourage interchange and cooperation. Find out information security characters and threats' types. Analysis on the computer operation field and User Platform about Security Measurements, Security systems application with the implementation of vary antivirus Programs. Exhibition the world resource's prosperity during the digital social development.
Implementasi Kebijakan Akses Fulltext Karya Ilmiah Dosen pada Repositori Institusi Sekolah Tinggi Agama Islam Negeri (STAIN) Pamekasan

The demands of the users are answered by educational institutions and institutional libraries in particular by organizing institutional repositories. The STAIN Pamekasan Library has organized an institutional repository that applies the full-text access policy but is still limited to lecturers' scientific work only. Research problems were identified by researchers in four (4) things, namely how the lecturers 'knowledge of institutional repositories, how to upload the STAIN Pamekasan Library institutional repository, how the benefits and obstacles experienced by lecturers when accessing institutional repositories and the implementation of full-text access to lecturers' scientific work on repositories STAIN Pamekasan Library institution which is also a formulation of research problems. The research approach used was descriptive qualitative, with informants as many as 9 (nine) lecturers, three of whom were also high-ranking institutional officials. The results showed that the lecturers' knowledge and understanding were still lacking due to the lack of socialization of the existence of institutional repositories, the two uploading processes felt by the lecturers were not complicated but lack of support for the third scientific upload guide for the STAIN Pamekasan Library institution. The problem formulation concluded that almost all STAIN Pamekasan lecturers agreed to the implementation of the policy of accessing full-text scientific work to lecturers at the institutional repository of the STAIN Pamekasan Library.
Differentiating Combinations and Coalitions

This chapter explains how coordination duties differ when held by members of combinations as compared with members of coalitions. It builds on the famous Hi-Lo problem to introduce the notions of we-framing and we-reasoning. It argues that the solution to Hi-Lo relies not on we-reasoning, but on a form of reasoning dubbed ‘coalition reasoning’. Crucially, this is reasoning in which the reasoner presumes that other agents will play their part in a particular pattern of actions. The chapter argues that when an agent holds a coordination duty as a member of a coalition, that duty requires the agent to coalition-reason. By contrast, when an agent holds a coordination duty as a member of a combination, that duty requires the agent to I-reason.
DIGITAL COMPETENCE IN THE INITIAL TRAINING OF THE TELESECUNDARIA TEACHER. CASE STUDY

level in recent years (Punie and Breco, 2014, Pech and Prieto, 2017, Adell, 2010, Silva Mirada, Gisbert, Morales and Onetto, 2016), knowing its meaning and the relationship of this with the initial teacher training is essential because it allows to know the way in which teacher training schools face the challenge of forming competent citizens for life in the knowledge society (Lion, 2012).A quantitative research is presented, through an exploratory factorial analysis, whose objective is to identify the level of digital competence of the student and the factors associated with its development.A survey was applied to 248 students who are studying the Bachelor in Teaching and Learning in Telesecundaria.The results allow to identify different levels of competence.However, digital evidence shows a positive perception from students in the three dimensions established to measure their digital competence.Therefore it would be advisable to design an evaluation instrument that allows to contrast what students say they know how to do, with what they really do, as well as to observe the type of activities that are developed within a normal school in orden to obtain information regarding the educational policy implemented at the institutional level.
A NEURAL APPROACH TO DECISION MAKING UNDER UNCERTAINTY AND RISK

The human brain is illustrated as the most complex object in the universe. From solving mathematics problems to choosing between coffee or tea at breakfast, the human brain makes thousands of decisions on a daily basis mostly under uncertainty, ambiguity or risk. Within its complex structure decision making processes play a significant role while activating many cortices, including but not limited to the orbital frontal cortex and the amygdala. On the other hand, decision making is similarly a complicated concept where uncertainty and risk are differentiated both theoretically in decision theory and anatomically in the human brain. Decisions are evaluated in the orbital frontal cortex and the ventrolateral prefrontal cortex with either value-based thinking or heuristic thinking. By uniting decision theory and the neural basis of decision making, we have learned how the human brain evaluates the available options and the possible outcomes and consequently reacts to the stimuli.
Temporal impact analysis and adaptation for service-based systems

Temporality is an influential aspect of service-based systems (SBS). Inability of a service to achieve time requirements may lead to violation of service-level agreements (SLA's) in a SBS. Such non-conformity by a service may introduce temporal inconsistency between dependent services and the composition. The temporal impact of the anomaly on related services and also the composition will need to be identified if SLA violations have to be rectified. Existing studies concentrate on impact analysis due to web service evolution or changes to a web service. There is a huge lacunae regarding studies on impact of time delay on temporal constraints of dependent services and obligations of business process. Although reconfiguration of SBS to overcome failures is extensively addressed, reconfiguration triggered due to temporal delay is not well explored. In this study, we try to fill the gap between reconfiguration and impact analysis invoked due to temporal violations. Once the impacted region and the amount of temporal deviation to the business process are known, we try recovery by localising the reconfiguration of services to the impacted zone.
Situation Assessment with Random Bayesian Network Forest

This paper presents a framework based on the random Bayesian networks forest (RBNF) to assess situation, which consists of three main components: data processing, offline construction, and training of the Bayesian network. Single Bayesian network is constructed by combination of the K2 algorithm and genetic algorithm. In addition, in order to improve the ability of generalization and increase prediction accuracy in universal situations, bagging learning is used to eliminate redundant information and extract implicit dependences between features captured by various sensors. The proposed framework is evaluated and tested in a real Australia credit data. Simulation results show that the framework can provide sufficient performance for situation assessment in terms of accuracy, reliability and robustness.
PENINGKATAN KEMAMPUAN GURU DALAM MENENTUKAN KRITERIA KETUNTASAN MINIMAL (KKM) MELALUI WORKSHOP DI UPTD SDN BANDA SOLEH 1 KECAMATAN KOKOP KABUPATEN BANGKALAN TAHUN 2019

The role of teacher in improving the quality of society service is making the students able to learn quietly, peacefully and joyfully. Therefore, teachers should also get founding. One of founding for teachers is self-development as to determine the standard Minimum Passing Criteria known as KKM (Kriteria Ketuntasan Minimal). It is because the teachers have not been capable enough to make KKM. Coaching is carried out including workshops. The level of success includes observing mental readiness, material, and teacher attendance. The results showed an increase in the ability of teachers to determine Minimum Completion Criteria (KKM) through workshops in the UPTD of SDN Banda Soleh 1. This was evidenced by 4 out of 12 people who were mentally prepared in the first cycle or 33% experienced an increase in the cycle II reached 92% or 11 of 12 teachers. Furthermore, in the first cycle there were 5 out of 12 people not ready for material or 42%, but in cycle II the teachers could bring material up to 92% or 11 of 12 people according to the criteria. Whereas in terms of attendance, the teacher was still present all in the implementation of coaching in the UPTD of Banda Soleh 1 Elementary School in Kokop District.
SMPTE 2019 Annual Technical Conference Preliminary Program

Machine Learning and Artificial Intelligence Technology in Professional Content Creation