Reviewerly/exHarmony huggingface dataset:
Semantic Information Extraction from UAV Imagery and Aerial Imagery

A central theme in the field of photogrammetry is the improvement of geo-spatial accuracy. However, the accurate geo-localization for low-lost UAV systems that are equipped with cheap and light GNSS/INS remains an open problem. In contrast, aerial imagery acquired by manned aircrafts usually has much higher geo-referencing accuracy of up to centimeter level. Additionally, aerial imagery provides complimentary scene representations from a larger scale and a different perspective compared to UAV imagery. Thus, the combination of the data acquired by UAVs and manned aircrafts could contribute to more comprehensive representations of the scenes of interest. To enhance utilization of such information, the implicit image semantic information needs to be jointly interpreted and analyzed.The primary goal of this thesis is to jointly exploit UAV and aerial imagery to enhance visual and spatial understanding of the scene, more concretely, to extract meaningful image semantics that have high geo-spatial accuracy. Thesis describes the efforts we have made towards this goal, and our contributions are mainly in three areas: 1.To improve the geo-spatial accuracy of UAV imagery by a pixel-level co-registration of UAV imagery and aerial imagery, a novel image feature matching algorithm for UAV and aerial image pairs is proposed, which is also applicable for heterogeneous images that have large differences in scale, rotation and appearance.2. Since supervised learning-based semantic image segmentation tasks require large amount of training data, which often costs intensive manual labor, we propose a pipeline that helps create image dataset with semantic level annotations using label transfer. 3. We leverage the image semantic information, particularly building segments such as roofs and facades, to generate true building footprints (excluding roof overhangs) with decimeter-level accuracy as well as 3D building models of LoD1.
An Agent Model Based on Open Linked Data for Building Internet of Agents Ecosystems

This paper presents an smart, collaborative and self-adaptive reactive agent model aimed at managing the resources of objects connected to Internet of Things (IoT). This agent model, called Linked Open Agent (LOA), is described using both a semantic agent contract built from descriptors published as linked data, and a workflow for agent control that is completed at runtime by the agent itself to address its behavior. The accuracy for semantic discovering agents partners was evaluated and compared with generic models of discovery such as the Yellow Pages of Java Agent DEvelopment Framework (JADE) and the Java implementation of the Universal Description, Discovery, and Integration (jUDDI). The results demonstrated that our method had a better accuracy for recovering agents than the accuracy of JADE and JUDDI.
Designing for Social Presence and Leveraging the Outcomes of Customer Service Chatbots

Chatbots are innovative text-based dialogue systems that are oftentimes used in digital customer service encounters, since chatbots offer a lot of potential to optimize the relationship with the customer. However, chatbots face various problems, such as low adoption and satisfaction rates as well as other negative reactions from the customer. Companies therefore need to consider different design features when developing their chatbots. Key for designing chatbots is the use of anthropomorphic design elements. In this study, we examine the two anthropomorphic design elements of personification, which includes a human like appearance of the chatbot, and socially oriented communication, which means a more sensitive and extensive communication behavior. We tested the influence of the two design elements on social presence, satisfaction, trusting beliefs and empathy. The results of our experiment support a significant influence of the two anthropomorphic design elements on social presence. In addition, our findings show the central role of social presence concerning chatbot perceptions. First, social presence has a strong direct influence on trusting beliefs, empathy and satisfaction. Second, social presence acts as a mediator for both anthropomorphic design elements on satisfaction with a chatbot. The derived implications provide a theory for understanding anthropomorphic design elements related to chatbots and we offer design principles for practitioners that enable more effective chatbot implementations.
Software-related inventions

This chapter examines the vacillating patentability standards that have characterised courts’ treatment of software-related inventions under patent law in Europe and the US. Despite starting from opposing legislative bases – one specifically excluding computer programs when claimed as such and the other containing no explicit prohibition – the jurisprudence on both sides of the Atlantic has progressed along very similar lines. This chapter charts the development of the law in these jurisdictions and considers whether such incertitude is an inevitable consequence of software’s duality as both text and machine.
Session details: Theme: Software design and development: RE - Requirements engineering track

Requirements Engineering (RE) is the branch of Software Engineering concerned with the real- world goals for, functions of, and constraints on software systems. RE is also concerned with the relationship of these factors to precise specifications of software behaviour and to their evolution over time and across software families. RE is increasingly recognized as a critical activity in any systems engineering process. Independently of the nature of the software, the elicitation, analysis, negotiation, specification, validation and management of requirements are fundamental for establishing quality in complex software. Only by fully understanding stakeholders' needs, and documenting them in a concise and unambiguous way, can we consistently deliver quality products designed to meet the complexity of our advanced information society.
Vultr Vs Linode – Which Is The Best Hosting Provider?

Have you narrowed your search for the perfect cloud-based hosting provider down to Vultr and Linode? Both are excellent options, with a range of reliable features. But even in a single side-by-side comparison, there are a lot of things to keep on mind when making your choice. Along with price, metrics like available storage, bandwidth, and number of CPU cores can become cumbersome to compare. Add in factors such as how billing is handled, and it quickly becomes overwhelming.
Pengembangan Manajemen Sistem Informasi Perpustakaan Di Universitas Dharmas Indonesia

This article aims to measure the validity and practicality of library information systems in their application at the University of Dharmas Indonesia. The development of this digital library uses the SLiMS Cendana 7 and XAMPP applications. This study took place at Dharmas Indonesia University which was held for a period of one month with two validators, one media validator who was a lecturer in the Curriculum and Educational Technology Department and one library expert validator namely a library officer in the Library of Education, Padang State University and tested on 3 librarians and 15 members of the Indonesian Dharmas University library. Data collection uses a questionnaire instrument that is filled in by each respondent. The results of data analysis show that the development of digital library applications has a media validity level of 4.55 and the validity of the material is 4.6 and the level of practicality with librarian respondents is 4.88 and the respondents have a value of 4.4. Thus the development of digital library applications can be categorized as very valid and very practical.
Learning based Word Search and Visualisation for Historical Manuscript Images

Today, work with historical manuscripts is nearly exclusively done manually, by researchers in the humanities as well as laypeople mapping out their personal genealogy. This is a highly time consum ...
Licensing digital content: A practical guide for librarians

"Licensing digital content: A practical guide for librarians." Journal of Access Services, 16(1), p. 5
UMP Library implements Waste4Fine to promote payment mode of fines with plastic drinking bottles

In support of the on-going UI Greenmetric Programme, Universiti Malaysia Pahang (UMP) Library has embarked on a payment mode of fines dubbed Waste4Fine – via plastic drinking bottles and cans – and has implemented it beginning March 13, 2019.
Distributing OpenPGP Key Fingerprints with Signed Keylist Subscriptions

This document specifies a system by which an OpenPGP client maysubscribe to an organization's public keylist to keep its keystoreup-to-date with correct keys, even in cases where the keys correspondto multiple (potentially uncontrolled) domains. Ensuring that allmembers or followers of an organization have their colleagues' mostrecent PGP public keys is critical to maintaining operationalsecurity. Without the most recent keys' fingerprints and a sourceof trust for those keys (as this document specifies), users mustmanually update and sign each others' keys -- a system that isuntenable in larger organizations. This document proposes aexperimental format for the keylist file as well as requirements forclients who wish to implement this experimental keylist subscriptionfunctionality.
Application of Text Mining on the Editorial of a Newspaper of Bangladesh

The development in the fields of web, digital libraries, technical documentation, and medical data has made it easier to access a larger amount of a textual document.Owing to the increasing demands to obtain knowledge from a large number of textual documents accessible on the web, text mining is gaining significant importance.The aim of this paper is to find the topmost ten frequent words of the whole writing of the Editorial writing appeared in the most popular Bangladeshi Daily English newspaper entitled "The Daily Star" over the period 01 January 2018 to 30 June 2018.Finally, we representation of text data visually with the help of word cloud.The results indicate that the most frequent word highlighted is 'government' in the writing of all months considered in this study.Also, the words "Bangladesh", "Myanmar", "people", "must" and "will" emerge in the analysis.
Building a Trusted Framework for Coordinating OA Monograph Usage Data

Presentation for the Coalition for Networked Information (CNI) Spring 2019 Membership Meeting. The Andrew W. Mellon Foundation recently funded a study of the landscape of usage data for open-access scholarly monographs and an investigation of the viability of creating a data trust for the sharing of usage data among stakeholders in the publishing ecosystem. In spring 2019, the Book Industry Study Group will publish a final white paper that takes into account feedback from the community during a consultation period. This presentation will provide a summary of the main findings and proposals of the forthcoming white paper.
Peningkatan Prestasi Belajar Mata Pelajaran Ekonomi Melalui Penerapan Metode Pembelajaran Think Pair Share Pada Siswa Kelas XI SMAN Colomadu Tahun Ajaran 2018/2019

This study aims to improve economic learning achievement using the learning model Think Pair Share in class XI students of SMAN COLOMADU academic year 2018/2019. This type of research is classroom action research with two cycles. The subject of this research is collaboration between teachers and researchers (actors of action) and students of class XI Economy 1 at SMAN Colomadu (recipients of action), amounting to 33 students. Data collection techniques used include observation, documentation, interviews, and field notes. Data analysis techniques use critical analysis techniques and comparative descriptive analysis techniques. The results showed an increase in student learning achievement by 5,67% from 77,57% in cycle 1 to 83,2% in cycle II. Based on the results of the study, that the cooperative learning model is Think Pair Share (TPS) able to improve the learning achievements of Colomadu Public High School XI grade students if done well and correctly.
Fastest Web Hosting Companies of 2019 - Reviews, Ratings & More!

There's plenty of competition among the fastest web hosting providers, which means they’re in constant competition to maintain the fastest page loading times possible. That is good news for web hosting subscribers... If you know who to get your hosting with!
LibGuides: Spanish Learning Resources for Tutors: Home

This guide is a compilation of resources found through databases, journals, and websites that help tutors provide explanations and practice for their students in the area of Spanish language and grammar.
Phase change photonics for brain-inspired computing (Conference Presentation)

Phase change materials are increasingly becoming important functional materials for applications in emerging integrated optics. Since the demonstration of a photonic phase change memory device in 2015, several new applications i this area have emerged ranging from lossless routing to on-chip photonics synapses. More recently the use of these materials in unconventional computing has seen an emerging interest, especially in the areas of optical abacuses and other forms of brain-inspired computing. There have also been advances in non-von Neumann approaches to carry out large-scale matrix multiplications. In this talk, I shall cover these topics and present a future view of these materials, not only in computation, but also in displays and holographic projections.
Robust Steganography Using Texture Synthesis Based on LBP

In order to improve the embedded capacity and anti-interference capability of the coverless steganography algorithm, this paper proposes a texture synthesis information hiding method based on LBP texture analysis. Firstly, selects the original texture image and divides it into uniform pixel blocks, calculates the LBP value of each pixel in an image block and takes the LBP value with the largest LBP distribution as the information represented for the image block. Secondly, the pseudo-random sequence is generated with specified key to determine the position of the texture candidate block placed on the white paper, then select the candidate block based on the value of the secret message and place it on the designated position on the white paper, meanwhile, the remaining blank areas are filled with texture synthesis method. Inversely, during the procedure of extracting the secret message, the position of the steganography image block is obtained according to the pseudo-random sequence generated by the customary key, and then the LBP value of each image block with the largest distribution is calculated to obtain secret information. Experimental results show that the constructed stego-image has good visual effects, more embedded capacities and robustness to some interference.
Analisis Pengaruh Kemampuan Pengguna SistemInformasi, Dukungan Manajemen Puncak, Pelatihan Pendidikan Pemakai Dan FormalisasiPengembangan Sistem Informasi Terhadap Kinerja Sistem Informasi Akuntansi(Studi empiris pada Rumah Sakit PKU Muhammadiyah Surakarta dan RumahSakit Kasih Ibu Surakarta)

This study aims to analyze the effect of the Influence Analysis on the Ability of Usersof Information Systems, Top Management Support, User Education Training andFormalization of Information System Development on Accounting Information SystemPerformance. This type of research is quantitative. The population in this study wereall employees of a Private Hospital in PKU Muhammadiyah Surakarta and HospitalKasih Ibu Surakarta in the accounting, finance, cashiers who used accountinginformation systems. The sample in this study is employees who use accountinginformation systems in hospitals. The sampling technique in this study uses theConvenience Sampling Method. The analysis technique used is multiple linear regressionanalysis. With the SPSS version 2.0 tool. Based on the results of the study it is knownthat the Information System Users and Top Management Support does not affect thePerformance of Accounting Information Systems. While the variable user educationtraining and Formalization variable Information System Development influences thePerformance of Accounting Information SystemsKeywords: information systems, training, performance of accounting informationsystems.
The Web at 30: Rebuilding the First Browser

On March 12, 1989 Tim Berners-Lee launched the first internet browser, called the WorldWideWeb, later renamed Nexus. In recognition of its 30th birthday, a team at CERN embarked on a five day hackathon to recreate a working replica of the original browser for computing posterity. Johanna Hamilton reports
Parallel querying of distributed ontologies with shared vocabulary

Ontologies and various semantic repositories became a convenient approach for implementing model-driven architectures of distributed systems on the Web. SPARQL is the standard query language for querying such. However, although SPARQL is well-established standard for querying semantic repositories in RDF and OWL format and there are commonly used APIs which supports it, like Jena for Java, its parallel option is not incorporated in them. This article presents a complete framework consisting of an object algebra for parallel RDF and an index-based implementation of the parallel query engine capable of dealing with the distributed RDF ontologies which share common vocabulary. It has been implemented in Java, and for validation of the algorithms has been applied to the problem of organizing virtual exhibitions on the Web.
UWM Libraries Research and Course Guides: Design Basics: Typography

Basics for creating better designs and incorporating improved graphics into your work. Learn all about fonts, type, and the effects it has.
UWM Libraries Research and Course Guides: Design Basics: Resources

Basics for creating better designs and incorporating improved graphics into your work. Books, Articles, websites, and more for learning about design!
Multi-scale Adaptive Structure Network for Human Pose Estimation from Color Images

Human pose estimation is formulated as a joint heatmap regression problem in the deep learning based methods. Existing convolutional neural networks usually adopt fixed kernel size for generating joint heatmaps without regard to the size of human shapes. In this paper, we propose a novel method to address this issue by adapting the kernel size of joint heatmaps to the human scale of the input images in the training stage. We present a normalization strategy of how to perform the adaption between the kernel size and human scale. Beyond that, we introduce a novel limb region representation to learn the human pose structural information. Both the adaptive joint heatmaps as well as the limb region representation are combined together to construct a novel neural network, which is named Multi-scale Adaptive Structure Network (MASN). The effectiveness of the proposed network is evaluated on two widely used human pose estimation benchmarks. The experiments demonstrate that our approach could obtain the state-of-the-art results and outperform the most existing methods over all the body parts.
Notice of Retraction Effects vanishing moments of discrete wavelet transform on MRI image compression algorithms

Notice of Retraction-----------------------------------------------------------------------After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of APTIKOM's Publication Principles.We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.The presenting author of this paper has the option to appeal this decision by contacting ij.aptikom@gmail.com.-----------------------------------------------------------------------Image data usually contain considerable quantity of data that is redundant and much irrelevant, whereas an image compression technique overcomes this by compressing the amount of data required to represent the image. In this work, Discrete Wavelet Transform based image compression algorithm is implemented for decomposing the image. The various encoding schemes such as Embedded Zero wavelet, (EZW), Set Partitioning In Hierarchical Trees(SPIHT) and Spatial orientation Tree Wavelet(STW) are used and their performances in the compression is evaluated and also the effectiveness of different wavelets with various vanishing moments are analyzed based on the values of PSNR, Compression ratio, Means square error and bits per pixel. The optimum compression algorithm is also found based on the results.
Analysis of the Emotions’ Brainwaves

Currently in Peru, patients with degenerative diseases, such as Amyotrophic Lateral Sclerosis (ALS) have lost of communication ability.Many researchers' papers that establish basic communication system for these patients.It is also essential to know their feelings or state of mind through their emotions, in this study, we present an analysis of electroencephalographic signals (EEG) applied to emotions such as fear, tenderness, happiness and surprised; it was used linear discriminant analysis (LDA) to get the identification and classification of the 4 emotions with a success rate of 63.36% on average.
A Secret Sharing Scheme of Dynamic Threshold with Cheaters Detection and Identification

There are many schemes to detect and identify cheaters when the number of participants is exactly equal to $$ t $$ in secret sharing schemes. However, most of them need dealers or redundant information to detect the dishonest participants when participants are greater than threshold $$ t $$ . Harn et al. proposed a dynamic threshold secret reconstruction scheme, which the threshold can be improved to $$ k $$ during reconstruction. Less than $$ k - 1 $$ participants cannot recover the shared secret. Their scheme uses the symmetric polynomial to resist the external adversary. However, each participant needs to hold a polynomial. Thus, the complexity of storage of the scheme is high. Furthermore, the scheme cannot detect and identify the cheaters who present falsified information during secret reconstruction. In this paper, we propose a secret sharing scheme with dynamic threshold $$ k $$ that can identify up to $$ k - 1 $$ dishonest participants who have no legal share information. The scheme does not need the help of the dealer to detect cheaters. The dealer uses the traditional polynomial to distribute a secret to each participant. In the secret reconstruction phase, the share information of each participant is transformed and then presents to other participants who verify it using the public key of the sender. If the presented information is falsified, it will fail the verification and the related participant is identified as a cheater. Otherwise, the secret can be correctly reconstructed. Meanwhile, our scheme ensures that the external adversary who eavesdrops the reconstruction messages cannot recover the secret. The trade-off is that our scheme has additional computation overhead.
Lightweight 4x4 MDS Matrices for Hardware-Oriented Cryptographic Primitives

Linear diffusion layer is an important part of lightweight block ciphers and hash functions. This paper presents an efficient class of lightweight 4x4 MDS matrices such that the implementation cost of them and their corresponding inverses are equal. The main target of the paper is hardware oriented cryptographic primitives and the implementation cost is measured in terms of the required number of XORs. Firstly, we mathematically characterize the MDS property of a class of matrices (derived from the product of binary matrices and companion matrices of $sigma$-LFSRs aka recursive diffusion layers) whose implementation cost is $10m+4$ XORs for 4 <= m <= 8, where $m$ is the bit length of inputs. Then, based on the mathematical investigation, we further extend the search space and propose new families of 4x 4 MDS matrices with 8m+4 and 8m+3 XOR implementation cost. The lightest MDS matrices by our new approach have the same implementation cost as the lightest existent matrix.