Reviewerly/exHarmony huggingface dataset:
Software License Compliance Services. Compliance verification tools and a quantitative study on software Piracy in Italy

This study is related to the software industry, specifically the license compliance side. The thesis will give an overall sight on the software industry focusing on the software IP and the business model built around it, then a large description will describe the background of the research that is the license compliance. Compliance will be faced in a descriptive way first and a quantitative one later looking at both the worldwide business and the Italian one that is the market of the final study. The research will be then explained starting from the data available that is unique thanks to an internship in a software company and after the description of the tools and methodology used a bigger space will be given to the final statistical results.
INDONESIAN LANGUAGE TEACHING BASED ON INTERNET OF THINGS (IOT) IN ARCHIPELAGO

This study aims to (1) analyze the study of learning theory that is suitable to be applied in the archipelago in Indonesia, (2) conduct an analysis of the application of Mobile Learning -based learning in the learning process in the archipelago and (3) study the use of the Internet of Things (IoT ) on Indonesian language material in the archipelago. The method used is ethnographic research by taking islands in the East Java region that enter the Java Sea. The results of this study are (1) the application of Mobile Learning despite focusing on IoT, which pays attention to the availability of infrastructure, (2) Mobile Learning -based learning despite paying attention to learning designs that focus on offline learning media and (3) Mobile Learning -based learning even though directed s tudents Centered Method in the development of Mobile Learning based learning. It is recommended to stakeholders to diversify the learning process.
CAN GEOLOGIC MAPS BENEFIT FROM SOILS DATA? AN EXPLORATIVE INVESTIGATION OF BEDROCK AND SURFICIAL GEOLOGIC MAPS IN NASH COUNTY, NORTH CAROLINA

Soils are complex natural bodies that express the varying effects of five (5) soil-forming factors: parent material (geology), length of time of soil formation, climatic history, landscape position (geomorphology), and biological activity. Soil map units reflect the complex relationships between the soil forming factors and are mapped based on the inter-relationships of soil physical, chemical, and biologic properties in the top 2 meters of the land surface. Soil maps are produced to guide land use and management for all land areas. Once soil relationships are developed, intensive field mapping is conducted to confirm and further refine soil associations and distributions. Soil map units can be sorted based on the geologic material from which they formed. While geologic data embedded in soil maps are typically broadly categorized (i.e. basic rock types), soil maps have potential to provide refinement of geologic map units in certain applications. We selected two USGS 1:24,000 quadrangles in Nash County, North Carolina based on recent work on Tertiary sedimentary deposits and associated soil relationships in this region (Stadelman SEGSA 2017). Nash County is located in the Fall Line Zone between the eastern piedmont and inner coastal plain of North Carolina about 40 miles east of Raleigh. Bedrock geology consists of Paleozoic metavolcanics and igneous intrusive rocks overlain by Tertiary sediments. GIS analysis of geologic and soil survey maps indicated good potential to improve delineation of bedrock map units in Nash County and especially boundaries between metavolcanics and intrusive igneous map units. This analysis also indicated high potential for improvement in delineation of sedimentary deposits. Field investigations were done in selected areas, and results with preliminary geologic map revisions will be presented.
Image steganography using C

This aim of this paper is to give an overview of Image Steganography in which the hidden information can be embedded in the image, so the security of the information is not violated. We have made the application using Visual studio and coding part is done using C#. LSB algorithm is used to make sure the secure communication is taking place. The main purpose of this is to maintain secure communication between two parties so that no information is lost.
Task-oriented Visual Understanding for Scenes and Events

Author(s): Qi, Siyuan | Advisor(s): Zhu, Song-Chun | Abstract: Scene understanding and event understanding of humans correspond to the spatial and temporal aspects of computer vision. Such abilities serve as a foundation for humans to learn and perform tasks in the world we live in, thus motivating a task-oriented representation for machines to interpret observations of this world. Toward the goal of task-oriented scene understanding, I begin this thesis by presenting a human-centric scene synthesis algorithm. Realistic synthesis of indoor scenes is more complicated than neatly aligning objects; the scene needs to be functionally plausible, which requires the machine to understand the tasks that could be performed in the scene.Instead of directly modeling the object-object relationships, the algorithm learns the human-object relations and generate scene configurations by imagining the hidden human factors in the scene. I analyze the realisticity of the synthesized scenes, as well as its usefulness for various computer vision tasks. This framework is useful for backward inference of 3D scenes structures from images in an analysis-by-synthesis fashion; it is also useful for generating data to train various algorithms.Moving forward, I introduce a task-oriented event understanding framework for event parsing, event prediction, and task planning. In the computer vision literature, event understanding usually refers to action recognition from videos, i.e., what is the action of the person. Task-oriented event understanding goes beyond this definition to find out the underlying driving forces of other agents. It answers questions such as intention recognition (what is the person trying to achieve), and intention prediction (how the person is going to achieve the goal), from a planning perspective.The core of this framework lies in the temporal representation for tasks that is appropriate for humans, robots, and the transfer between these two. In particular, inspired by natural language modeling, I represent the tasks by stochastic context-free grammars, which are natural choices to capture the semantics of tasks, but traditional grammar parsers (e.g., Earley parser) only take symbolic sentences as inputs. To overcome this drawback, I generalize the Earley parser to parse sequence data which is neither segmented nor labeled. This generalized Earley parser integrates a grammar parser with a classifier to find the optimal segmentation and labels. It can be used for event parsing, future predictions, as well as incorporating top-down task planning with bottom-up sensor inputs.
Higher education quality policies in Germany and United Kingdom:

&#x0D; &#x0D; &#x0D; The objective of this study is to discuss the accreditation systems in Higher Education (HE) currently in Europe. The specific goals include describing the context of HE in Germany and the UK, identifying the main policies implemented. The studies are systematically mapped and contextualized and they will analyse quality assurance and evaluation. This research describes the assessment of the social phenomenon and the accreditation of HE based on the performance of European rating agencies. This paper will also present the main points of action of the quality policy and the quality of HE agencies and their development. It was created a concept mapping of HE in these countries and it was also discussed the characteristics, restrictions and evolution of the processes of accreditation, evaluation and peer review. The main points of action of quality policies and quality agencies in HE, and their current situation of development were demonstrated.&#x0D; &#x0D; &#x0D;
Preface: International Conference on “Multidimensional Role of Basic Science in Advanced Technology” ICMBAT 2018

First Page
Lithological Mapping of Sedimentary Rocks in Southern Laki Range, Lower Indus Basin Using Satellite Remote Sensing Data

Lithological mapping of rocks by using Landsat7 Images is carried out in Thano Bula Khan area in southern Indus Basin. The area is mainly composed of various sedimentary rocks of various formations are well exposed in Thano Bula Khan area. The areas composed of the exposed different geologically formations include Dada Conglomerate, Manchar Fm, Gaj Fm, Nari Fm, Tiyon Fm and Laki Fm. To process data, we used band rationing technique such as false color composite band ratio for identifying lithological features of the study area. Our processed data revealed the exposed formations of sedimentary rocks in the study area. The Landsat7 Satellite imagery is proved to be very useful in discriminating the lithology of various formations of the selected area. The data band ratio pairs (5/7, 5/4, 3/1) as well as RGB composite images (4/5, 5/7, 7/5) and (5/7, 3/1, 4/3) played an important role in discriminating different formations of sedimentary rocks in the area. The method using ratios of color band is significant approach for the study of different types of rocks as well as for the identification of minerals.
Multi-view crowd congestion map generation based on ensemble learning

Multi-view video surveillance has been a major research area in crowd congestion management. By exploiting complementary information captured by multiple cameras, the limited views and occlusion in single views can be addressed to gain an insight into the whole monitored space. However, multi-view surveillance has been widely applied to microscopic crowds analysis, for example pedestrian detection and tracking, while macroscopic level analysis, which deals with the whole crowd, has received little attention. Level of service (LOS) is the most widely accepted standard of measuring congestion at macroscopic level and level of service maps are the most straightforward way of showing distribution and variation of congestion. The authors propose a multi- view framework for the generation of level of service maps based on an ensemble of state-of-art Convolutional Neural Networks (CNN). Several combination rules are compared and evaluated on two datasets, both in sparse and dense scenarios. The authors' results show that this fusion framework improves the accuracy of level of service map generation, from 83.2% to 89.8%, and eliminates vision of blind spots in single views. The authors' framework is implemented to a 3D geographic information system (GIS) platform, which provides a suitable interface for multi-view crowd congestion management. A loading test results show that a maximum of 48 cameras can be processed at a map refresh rate of 2 seconds.
The Role and Place of Education in Bridging the Digital Divide (the Case Study of the Republic of Bashkortostan)

Introduction. The article is of relevance due to the ongoing processes of digitalization of the economy of the Russian Federation and the increasing demands on the digital competence of society. The purpose of this paper is to review the factors causing the digital divide and characterize the role of the education system in bridging the digital divide of the population (using the example of the Republic of Bashkortostan). Materials and Methods. Data from the Territorial Statistics Service and other open sources of information were used as the materials for the theoretical part of the study. The experimental part of the study was based on testing of students of the Bashkir State Agrarian University conducted by the author in order to determine their level of digital competence. The research methods employed included collection, systematization and analysis of data. Results. The study has analyzed the quantitative and qualitative indicators of the digital divide in the Republic of Bashkortostan. The main factors causing the digital divide in the Republic have been identified: those associated with the differentiation of the population according to territorial characteristics as well as to economic and social criteria. It has been shown that the problem of the digital divide of rural and urban areas is of great relevance for the Republic of Bashkortostan. The role of vocational education in overcoming digital inequality has been substantiated; the growth of the university students’ level of digital competence as a result of their training has been estimated. Discussion and Conclusion. The issue of bridging the digital divide is a comprehensive one and can be solved only by consolidating the efforts of all members of the society to create a unified digital environment, with the support from regional authorities and involvement of federal government resources. The results are of practical importance for teachers of information technology, as well as for representatives of regional IT-structures. Further areas of study of the problem of the digital divide are associated with the identification of new ways of forming and developing digital competence in the educational process.
Voice-Interaction Design from a Brand Perspective: Creating a Personified Voice Identity for Rituals

Voice-technology is, as the name entails, technology that enables the exchange of information through voice. As this technology is currently growing in adoption and usage of customers, the popularity at organizations and researchers is increasing noticeably as well. Normally new intelligence is associated with impressive high-end capabilities. However, this technology is still in its early stages of development because, although humans may be more capable of speech-interaction, the machine now needs to learn from its users. It is important to understand the principles rooted in human communication in order to understand user’s underlying expectations of conversational interfaces and to design for a desired user experience. Conversational interfaces are creating opportunities for new touchpoints between brands and its customers. It adds a new dimension to a customer’s experience and interaction with brands and their services. Brands need to decide how to behave as one of the partners in the collaboration driving this machine-driven conversation. On top of that, a new challenge is found in how to expose a unique identity without any visual and tangible elements to rely on. Alongside a case study for the lifestyle brand Rituals, a brand-driven strategy is proposed to design a voice-interaction service integrated with personified voice-identity. It is of great importance to form a unique and recognizable position within speech-technology corresponds to the existing brand in order to engage customers with a relatable personality. The Rituals case study is used to extrapolate general guidelines, set out in a design kit. It functions as a practical tool to guide organizations in the innovation process towards a voice-interaction service. This project has found a branded identity in the context of voice-technology, defined by an unique fusion of five components. The brand functions here as an overarching connecting factor.
Reasonably Optimal Utilisation Through Evolution (ROUTE) in Airspace Design

The underlying navigation technology that enables the navigation of aircraft through airspace is improving, allowing aircraft to navigate waypoints that do not need to be previously defined, no longer being confined to antiquated navigational aids. From this the opportunity is arising to create highly optimized airspace that can change its design on the fly in reaction to the environment. This paper presents a novel approach towards route finding in airspace design using computational evolution. The proposed method, ROUTE, can create new airspace designs in reaction to changing environmental constraints, optimising for fuel burn (therefore cost and emissions) as well as noise disturbance, and route length.
ANALISIS REFERENSI PADA JURNAL ILMU DAN TEKNOLOGI KAYU TROPIS TAHUN 2013 – 2017

Reference analysis of articles in online journals was conducted, namely Jurnal Ilmu dan Teknologi Kayu Tropis in 2013 – 2017. The study aims to: (1) find out the distribution of articles and references based on years; (2) know the reference composition based on the type of document; (3) know the patterns of authorship in reference; (4) know the update of the reference year; (5) find out the ranking of journals that are used as references; (6) know the authorship affiliation pattern. The research was carried out by descriptive method. Data was taken from the Journal of Tropical Wood Science and Technology for five years (2013-2017). Data collection was conducted in October 2018 from the journal webpage available at http://ejournalmapeki.org/index.php/JITKT. Details of each article published , such as the number of articles in each journal number, article distribution, authorship patterns for each article have been recorded and analyzed to make observations.The collected data was compiled and analyzed using an MS-Excel spreadsheet.The results showed that the average number of articles per year was 20,2 and and references per year is 385,8. The highest reference composition is articles totaling 1063, around 55,11 %.The pattern of authorship shows that more than half of writers prefer to work in collaboration because 51,44% of citations are multi-authors, while 48,56% of writers prefer to work in isolation, more reference skills in the span of 0-10 years (current category) namely as many as 1.108 citations/references and 821 citations/references classified as not up-to-date, namely over ten years as many as 821 citations / references. The most used ranking reference journal used by the author was taken from the Journal of Tropical Wood Technology.
Comparison of Multi-Sensor Fusion Methods for Maritime Target Object Tracking

Automatic target tracking of surrounding surface vessels is important to safely operate a maritime autonomous surface ship (MASS). To accurately and reliably estimate the target state in marine environments, designers have fused various navigation sensors, including radar, lidar, and cameras. This study compares how well several sensor fusion methods perform for target motion analysis (TMA) tracking. Although the ideal approach is to combine all of the sensor outputs into a single integrated fusion-based tracking filter, this approach is not always preferred in practice due to difficulties in tuning filter parameters, challenges of data association between different sensors, and a large computational effort that cannot be easily distributed. In this paper, we focus on track fusion approaches that combine tracking results from a local tracking filter using individual sensor observations. We compare the sensor fusion methods using a Monte-Carlo simulation and discuss the results.
Using Logic and Occam’s Razor to Deduce the Origin and Future of the Universe

The origin and future of this universe is a question that we may not ever be able to answer conclusively. Although there are many theories floating about. This paper takes a more grounded approach by going back to the basics, looking around at what we know and using a combination of logic and Occam’s Razor to deduce the origin and future of the universe. This paper theorizes that this universe started off as a black hole in another universe and that the law of conservation of energy can be broken. It will also speculate on a possible mechanism for black holes to undergo a ‘Big Bang’ as well as a possible process for energy can be created out of nothing involving black holes and Hawking Radiation.
ANALISIS KESALAHAN BERBAHASA CAMPUR KODE DALAM MENULIS TEKS LAPORAN PERCOBAAN PADA SISWA SMP

This research was motivated because of the errors found in the field. The problem that was found was that there was a code mix by class IX F SMP students when writing the text of the experimental report. Code mixing occurs because of the fragments of other languages namely Sundanese (B1) into the writing that is being studied, namely Indonesian (B2). This study aims to determine how much influence the student's code interferes in writing the text of the experimental results report and how to overcome these errors. The method used is a qualitative research method, this method is a method that produces data in the form of words or sentences both oral and written. Based on the results of the study, from 1-5 groups of students consisting of 5 people in the results of the writing, there are several vocabulary words that use Sundanese (B1), namely the words peso, onion bodas, coet, sweet potato kulub, pecin, katel, uyah, parud, and implant. If present, the result is 36%, so it can be concluded that in the student writing results there is a language error that is code mixing.
Short-Text Sentiment Analysis Based on Windowed Word Vector

The traditional text sentiment analysis directly inputs syntactic feature or word vector to model. It fails to consider the characteristics of time series in sentiment. Considering that product reviews are short text, this paper comes up with the method of windowed word vector and classifier fusion in the decision layer. The results indicate that the proposed method can achieve better performance than several existing methods.
A Study on The Factors of Policy Change in Latecomer Nations : Through the case of Korea’s renewable energy policy change

In line with the international community’s movement to reduce greenhouse gas emission, Korea implemented FIT(Feed in Tariff) in 2002 as part of its renewable energy development project. Although the policy had shifted to full-scale RPS(Renewable Portfolio Standards) in 2012, policymakers are still seeking changes due to policy ineffectiveness. While previous studies explain sudden policy changes through external factors, recent research sheds light on internal factors in the process of policy transition. The purpose of this study is to investigate the factors that are responsible for rapidly changing policies in latecomer nations. In order to find this, we look at the case of transition from the FIT to the RPS in Korea’s expansion of renewable energy policy. As a result of the research, it is confirmed that the Top-Down decision making system of Korea and the external regulatory change cause rapid policy transition. By looking at these variables, we propose useful implications for policymakers to minimize the policy failure in future policy design and evolution. Key
Towards Condition-Independent Deep Mobile Sensing (poster)

Deep mobile sensing applications are suffering from various individual conditions in the wild. We propose a meta-learned adaptation technique to adapt to a target condition with a few labeled data. We evaluate our system on a public dataset and it outperforms baselines.