Reviewerly/exHarmony huggingface dataset:
Contributions to virtual reality

The thesis contributes in three Virtual Reality areas: ? Visual perception: a calibration algorithm is proposed to estimate stereo projection parameters in head-mounted displays, so that correct shapes and distances can be perceived, and calibration and control procedures are proposed to obtain desired accommodation stimuli at different virtual distances.? Immersive scenarios: the thesis analyzes several use cases demanding varying degrees of immersion and special, innovative visualization solutions are proposed to fulfil their requirements. Contributions focus on machinery simulators, weather radar volumetric visualization and manual arc welding simulation.? Ubiquitous visualization: contributions are presented to scenarios where users access interactive 3D applications remotely. The thesis follows the evolution of Web3D standards and technologies to propose original visualization solutions for volume rendering of weather radar data, e-learning on energy efficiency, virtual e-commerce and visual product configurators.
Distributed Anomaly Detection Over Big Data

This study aims to solve the problem of detecting anomalies in big data. A border-based Gird Partition (BGP) algorithm was proposed. The BGP algorithm focuses on calculating the Local Outlier Factor (LOF) for big data in a distributed environment. It splits the data into intersected subsets, then allocates these subsets to the slave nodes in a distributed environment. Some parts of these subsets are replicated between slave nodes. The slave nodes calculate the LOF for each subset that it owns. The splitting of the data between the slave nodes is done in grid-based without considering the size of the data that will be assigned to every slave node. The BGP algorithm results in un-balanced distribution of the subsets between slave nodes. To overcome this problem a modification on the BGP algorithm is proposed to take in consideration the size of the data that will be assigned to every slave node. The modified algorithm called Balanced boarder-based Gird Partition algorithm (BBGP). BBGP splits the data between the slave node equally. So that all the slave nodes will do balanced processing for calculating the LOF for the data. In the end, we evaluate the performance of the two algorithms through a series of simulation experiments over real data sets.
Thinking Outside the (Tool) Box

Toolkits enable people to create and design their own technologies, and just as many other Do-It-Yourself (DIY) tools they are now widely available and approachable. This development aligns well with recent HCI research agendas, which have emerged around the call for empowerment. The availability of toolkits should present a unique opportunity for realising the potentials of end-user empowerment in the sense of giving people and communities access to tools and approaches for shaping their own lives with their own designs. However, the question remains how toolkits should be designed to serve the diverse needs of different user groups for their respective purposes and practices. Furthermore, there is also value in learning from how users appropriate toolkits for their own (maybe unanticipated) purposes. In this workshop, we aim to identify different ways in which toolkits can empower people in diverse life situations. The workshop brings together researchers, designers, and practitioners with an interest in designing and using toolkits for and with people from diverse backgrounds, for different purposes, and in a variety of contexts. We see a particular potential in discussing how research could unpack toolkits as tools for empowerment and for engaging people in technology design.
PEMETAAN PREDIKSI SEBARAN KERENTANAN LONGSOR DI KECAMATAN TAWANGMANGU, KABUPATEN KARANGANYAR MENGGUNAKAN PENDEKATAN FUZZY LOGIC

Tawangmangu District is one of the problemas areas in Karanganyar Regency related to landslides. Land use that is not in accordance with the slope and triggered by high rainfall makes the District of Tawangmangu an area with criteria of landslides of medium to high criteria. Mitigation efforts need to be carried out to minimize the danger of landslides. Data limitations are the basis for these mitigation efforts. This can be solved using fuzzy logic. This method can be used by looking at a limited area and data. This research was conducted in Tawangmangu District by dividing the research location into 16 land map units (LMU). The results showed that Tawangmangu District was divided into four classes, involve: not vulnerable, low, medium and high. Criteria are not vulnerable to spread in 9; 7; 11; 10 and 12 LMU, low spread in 3; 4; 5; 16; 8 and 13 LMU, medium spread in 2; 15 and 1 LMU and high vulnerability only in 14 LMU. Factors that can take effect the occurrence of landslides in Tawangmangu District are slope, land use and bulk rainfall. This method can be applied at research sites because it has the accuracy of very accurate results.
Why Software Needs to be Engineered

Software engineering practice is losing legitimacy due to the rate of demand for faster and cheaper products. To have an effective software engineering work force, there should be a better bridge to link the industrial and academic practices. This paper involved: sourcing and selecting research and scholarly written materials about software architecture, requirement engineering, software engineering in educational sector, software engineering in software organizations, and software architecture. Literature review centered on these topics is presented, issues that hinders software engineering processes and co-ordination between industries and education are identified. Suggestions regarding how to improve the current situation are made.
Study and prioritizing factors of Productivity of the Employees of Steel Manufacturing Industry, Kanjikode by extended ACHIEVE Model

Employee productivity is a key factor for the success of manufacturing companies. Performance analysis studies with a wide range of approaches are used in an attempt to improve employee productivity. However, these studies take only one or two factor into consideration, which may not provide a comprehensive solution to the productivity problem they face. An extended ACHIEVE model by the name MACHIEVE model has been proposed to overcome this, with additional factor M-'Material'. Survey analysis based on this new model has been performed among employees in the steel manufacturing industry in Kanjikode. This is a structural equation modelling analysis which used filled questionnaire data of randomly selected 420 employees from among a population of 1,280 employees. The results indicated that all eight factors of MACHIEVE model has impact on employee productivity. The analysis also suggested that the factors C-Clarity and H-Help have the greatest impact on labour productivity.
MERETAS JALAN PUBLIKASI JURNAL INTERNASIONAL BAGI PTN-PTS DI KOTA WATAMPONE

This article discusses the results of questionnaire analysis and interviews for a number of PTN-PTS lecturers in Watampone, Bone Regency who have participated in Scopus indexed International Journal Writing Training. The Community Service Activity in the form of Innovation for the Community (IbM) was carried out with the support of the Hasanuddin University Community Service Institution (KP2M) in 2017. As many as 30 participants were sent by their represented institutions as many as 27% women and 73% men. They expect to take part in this activity apart from the need to write a journal because this training will be a means to share knowledge and experience. Their impression, writing articles in international journals is something utopian and has many twists and turns. The procedure is convoluted. These puzzles will be answered in this training. Based on questionnaire data, it was revealed that the main obstacle for PTN-PTS lecturers in Watampone City, Bone District (especially STAI Al Gazali lecturers and STAIN Watampone) was as follows: 1) did not have a picture of what to do, 2) put interest in publication but experiencing language problems, 3) several tries but failed / articles rejected, and 4) optimistic that they can publish if someone directs and guides.
PENGGUNAAN MEDIA TAYANGAN FILM PENDEK DALAM PEMBELAJARAN MENYUSUN KEMBALI TEKS CERITA PENDEK SECARA LISAN DENGAN METODE SIMULASI PADA SISWA SMP

Short film display media is an innovative media that can be used to improve students' competence in learning to re-arrange short story text orally. The purpose of this research is to describe the use of short film display media in learning to reset short story text orally with simulation method for junior high school students. Data were collected by test and non-test methods. Data obtained through two activities namely pretest and posttest. The data is obtained from students of class VII of SMP N 2Blora. The results of the use of short movie display media in the learning re-compile the text of short stories orally with the simulation method of junior high school students is quite influential. Evidently there is a difference between before and after treatment. Before the average pretest value of knowledge was 77.28. However, at posttest, the average value of knowledge becomes 85.81. For skill, when pretest, the average value is 75.63, but when the posttest becomes 83.45.
THE SPANISH NON-FINITE VERB FORMS IN THE CONTEXT OF PARTS OF SPEECH LINKS APPROACH

The problematics of parts of speech links is connected the most notably with the interaction of grammar categories both in the morphology and the syntax with reference to a part of speech, at which point such interaction does not exist in isolation of all utterance. Grammatical categories of the verb are constituents of the syntactical structure of the utterance which forms its semantic content, that is the category feature of the predicative relation. Verb lexical item is not used only for predicativity: verb lexical items have predicative force as non-predicative forms. The Spanish verb paradigm includes general category features for finite and non-finite forms of the verb and the interaction of grammar categories of finite and non-finite forms. They identify the grammatical entity of the Spanish non-finite verb forms. The conceptual foundation of the interaction of grammar categories of the Spanish verb identifies the integrated nature of functions of Spanish non-finite forms: they have characteristic constants and grammatical category features. Infinitive – verb characteristics: temporality (relative temporal meaning), person, voice, transitivity / intransitivity, prepositional rules; noun characteristics: substativisation, participial or adjectival attribute, syntactic function of subject, part of compound nominal predicate, direct /indirect object, it has a logic subject in absolute constructions. Participle – verb characteristics: temporary in the structure of compound verb forms (anteriority of actions), voice (passive), constituent of verb constructions (compound predicate), prepositional rules, it has a logic subject in absolute constructions; adjective characteristics: syntactic function of attribute, noun adjective agreement, part of compound nominal predicate, it has a logic subject absolute constructions. Gerund – verb characteristics: temporary (relative temporal meaning), part of compound predicate, transitivity / intransitivity, it has a logic subject in absolute constructions; adverbial characteristics: syntactic functions of adverbial modifiers; noun characteristics: syntactic function of attribute.
Africa and globalization: challenges to governance and creativity, edited by Toyin Falola and Kenneth Kalu, Switzerland, Palgrave Macmillan, 2018, xi+258 pp., € 93.59 (hardback), ISBN 978-3-319-74904-4

This edited book by Toyin Falola and Kenneth Kalu dissects the governance and institutional challenges faced by Africa owing to the impact of globalization and how it has negatively affected Africa...
Towards Enabling Context-as-a-Service for Social Assistive Robotics

Integrating assistive robots into global-scale management systems comes with a number of challenges and requirements which are pervasive to all applications enabling context-awareness. We argue that the hypermedia model and the agent-oriented paradigm help achieve the vision of Context-as-a-Service. We categorize challenges according to context processing concerns and use a scenario to exemplify how the proposed architectural principles help overcome the challenges. A security model is presented, enabling the correct management of information in a hierarchy of agents.
Insights into the Economy of Open Scholarship: A look into Helsinki University Press with Leena Kaakinen, publishing director

Following the report Knowledge Exchange Approach to Open Scholarship and in line with the recommendations resulting from the workshop Moving from Ambition to Reality, two interconnected activities have been dedicated to the Economy of Open Scholarship, one conceptual, one practical. The practical activity - Insights into the Economy of Open Scholarship: A Collection of Interviews - have collected examples which illustrate how pioneering initiatives set up and operate new or alternative business models in the area of Open Scholarship. Interviews with a selection of initiatives have been conducted to build this collection to illustrate the successes and challenges within the economy of Open Scholarship. The purpose of this practical investigation is to inform and inspire a transition to Open Scholarship. Through a collection of interviews, including highlights and currents trends, the collection displays how pioneers and early adopters of openness pave the way for unhindered access to research outputs in relation to research community needs and practices. Interviews have been conducted with ten selected initiatives including:1. Open Library of Humanities (OLH) (UK): Martin Paul Eve 2. OpenEdition (FR): Pierre Mounier 3. Opasnet (FI): Jouni Tuomisto 4. ASAPBio (US): Jessica Polka 5. ScienceOpen (GER): Stephanie Dawson 6. HRCAK (HR): Jadranka Stojanovski 7. Helsinki University Press (HUP) (FI): Leena Kaakinen 8. Impactstory (US): Heather Piwowar 9. Figshare (UK): Mark Hahnel 10. Zenodo (CH): Tim SmithFull details of all interviews are available on the Knowledge Exchange website: http://www.knowledge-exchange.info/event/insights-into-open-scholarship
The Usage of Mobile Apps in Agriculture

In India farmers have poor market infrastructure, inadequate marketing experience, and agricultural inputs. These farmers need to access information about new technologies before they can consider adopting them and thus look up to research and extension agents as sources of new technologies. Access to appropriate information and knowledge is an overriding factor for successful agricultural production and thus rural development. However, the traditional approach of providing agricultural information through extension services is overstretched and under-resourced. Accurate and timely market information, particularly of perishable items, can significantly reduce transaction and travel costs. Nowadays, the mobile apps have generated an opportunity for the farmers especially to get the information about marketing and weather. This important technology, they directly keep in touch with market personals and offer their produce with reasonable prices. The use of mobile apps also keep them aware for weather forecast for agriculture input application like fertilizer and pesticides which might be affected by unforeseen seen disasters as communicated by meteorological department. Based on above facts a study on the usage of mobile apps inagriculture was conducted.Two blocks namely Thogaimalai and Kulithalai were selected randomly in Karur District.The researcher found that farmers got more awareness about mobile apps.Through mobile apps they were getting agricultural and allied information on time.Many apps are being utilized for different kind of functionality regarding the farming activities like cropping information, pesticides, fertilizer, seed, selling of crop, irrigation information, estimation of crop production, weather information and information regarding the best practices of farming.
A Research-grade Accelerometer Is Sensitive In Detecting Step Changes In Free-living Settings

Research-grade wearable accelerometers (RGA) are valuable tools to monitor steps. Despite the broad appeal of such devices, there is limited evidence as to how well RGA detect change in steps in free-living settings. PURPOSE: To determine the sensitivity of RGA in detecting change in steps compared to changes in directly observed steps (criterion) in free-living settings. METHODS: Thirty-two participants were directly observed and video-recorded on three separate days for 2-hours each day in free-living settings. Participants wore commonly used hip- and wrist-worn RGA’s. Criterion steps were assessed using a validated direct observation (DO) method applied to the video recordings. Session-to-session step differences (session 1 - session 2, session 2 - session 3, session 1 - session 3) were calculated. Linear-mixed models were used to determine within-subject standard deviation of criterion measured session-to-session changes in steps and to identify significant changes in steps (greater than ±1 SD of within-subject SD). DO classified pairs of sessions for each participant based on whether steps changed (i.e., greater than ±1 SD of within-subject SD). The same classification method was applied to the RGA’s and percent agreement between the two methods was then calculated. RESULTS:CONCLUSIONS: These data show that RGA’s worn on the wrist and hip are sensitive in detecting change in steps in free living settings and both detect changes in steps in free-living settings. This device can be employed for interventions designed to increase walking behavior. Funded by: NIH: F31HL129802
Influencer marketing - En studie om hur den svenska marknadsföringsrätten förhåller sig till marknadsföring av influencers på sociala medier

As technology moves forward, marketing methods follow and influencer marketing is the most prominent one today, being a rather unexplored part of marketing, lacking clear legislation. Hence, companies use influencers and their platforms to advertise their products and services leading to a line of business where the legal aspect is obscure. The purpose of this essay is to investigate and illuminate the problems which come as a consequence of influencer marketing, to what level the marketing act (MFL) is applicable on social media, which requirements that apply to social media marketing, which parties should be held responsible of the unwarranted marketing and their relationship to each other. Therefore, the main conclusion is that the difference between commercial advertising and editorial content on social media seems hard to recognize. For some difficult cases, the fundamental law on freedom of expression is deemed to precede the marketing act despite advertising identification and transmitting indication being significantly higher for influencer marketing compared to traditional marketing strategies. Furthermore, the style of the commercial post needs to differentiate from the countering editorial post. Thus, the consumer needs to instantly be able to understand if the post is actually advertising. Subsequently, if a company pays an influencer or sends an influencer free goods this is legally regarded as a degree of payment for the publicity and marketing the influencer provides due to an underlying agreement between the influencer and the company. Therefore, the extent to which one party can be held accountable depends on their influence on the final outcome of the commercial post.
The real Hindi – South Asia Citizens Web

Hindi in the Devanagari script is the official language of the Indian Union government and some state governments. Hindi derives its primacy from numbers. According to the 2001 census, 41.03% of…
The perils of next-gen surveillance technology

The Interactions website (interactions.acm.org) hosts a stable of bloggers who share insights and observations on HCI, often challenging current practices. Each issue we'll publish selected posts from some of the leading and emerging voices in the field.
Analisis Perbandingan Metode LVQ Dan Backpropagation dalam Penentuan Keaslian Uang Kertas Rupiah Berbasis Parameter HSV

The high demand of the community for money that causes crime is the circulation of fake paper money. Counterfeit money if shared has the same physical as the original money issued by Bank Indonesia. To avoid the public accidentally transacting using counterfeit money, the government has actually socialized the 3D method (Seen, Diraba, and Diterawang). However, along with technological developments, the technique of making counterfeit money will also require the development of alternative techniques that can be used to help save fake money. Determining the authenticity of Rupiah banknotes can be done using pattern classification methods, one of which can be accommodated by artificial neural networks. LVQ neural network (Learning Vector Quantization) and Backpropagation are two types of artificial neural networks that do supervised learning. Extraction of features that show the authenticity of banknotes can be done using the HSV color space. This color space consists of components H (Hue), S (Saturation), and V (Value). This is the background of the topic chosen for analysis choosing the LVQ and Backpropagation methods in determining the authenticity of Rupiah banknotes based on HSV parameters. Evaluation analysis taken from the level assessment The evaluation results using the composition of the test data consisting of 10 original money images and 8 original money images obtained results both LVQ and Backpropagation networks were able to classify real and fake money images with 100% acquisition rates. However, when viewed from the MSE value, the LVQ network has a better performance with the supporting MSE value being 0. The test results from the preparation time, the Backpropagation network requires a shorter time compared to the LVQ network.