Reviewerly/exHarmony huggingface dataset:
Estimation of Daily Energy Production of a Solar Power Plant Using Artificial Intelligence Techniques

This paper presents a comparative study between artificial neural networks (ANNs) and an adaptive neuro-fuzzy inference system (ANFIS) to estimate the daily electric energy production of a parabolic trough solar thermal power plant (PTSTPP) in Eastern Morocco. The inputs of the ANN and ANFIS models are daily direct normal irradiation (DNI), day of the month, daily average ambient temperature, daily average wind velocity, daily average relative humidity, and previous daily electric production. To select the best architecture, several models were developed. For the ANN model, we changed the number of hidden neurons, while we varied the number of radius for the ANFIS model. Estimated results indicate that the total electric energy accumulated for the validation year was about 39341 MWh and 39907 MWh, respectively, for the ANN and ANFIS models. The difference between predicted and experimental yearly energy production indicates an underestimation of about 9.58% and 10.86%, respectively, for the ANFIS and ANN models.
On Writing a Textbook on Natural Language Processing

There are thousands of papers about natural language processing and computational linguistics, but very few textbooks.I describe the motivation and process for writing a college textbook on natural language processing, and offer advice and encouragement for readers who may be interested in writing a textbook of their own.
치기공학과 전공심화과정 학습자의 참여 동기, 교육기관 기대 및 교육만족도가 학습참여에 미치는 영향

Purpose: This study analyzed the difference in participation motive, expectation for educational institution and educational satisfaction depending on participation level of students of advanced course for bachelor of dental technology. Methods: 81 students of advanced course for bachelor of dental technology from four university were selected by convenience sampling method. To analyzed influence of participation level depending on participation motive, expectation for educational institution and educational satisfaction, regression analysis was carried out. Results: The participation level of the students was found to be influenced by the educational satisfaction, participation motive and expectation for educational institution. Conclusion: Based on the results, it is important to understand the participation motive of the students and to offer satisfaction environment and administrative support for enhancing the expectation for education for educational institution.
Application of the K-Means Algorithm to Segmentation of Consumer Interest in Silver Craft "Kreasi Slaka Bali"

Kreasi Slaka Bali is a company engaged in the silver handicraft sector. Each stage of the process is still done manually, starting from material preparation, handmade work, until making the packaging for delivery. Certainly, this requires more time to be able to produce an item of the same quality in each production. The need for extra time and business in product manufacturing, the company needs a marketing strategy that can be seen from consumer interest in the product. So this research discusses consumer interest based on transaction data by forming clusters based on purchases amount with other attributes, namely the product price, product size, product weight, and level of difficulty. The data used is transaction data for 2 transactions in 2019. The algorithm used is K-Means with the Elbow Method to determine the number of clusters. There are clusters of k = 5 with the cluster that has the most data in the first cluster (k = 0) with a total purchase of 193 products with an average price of US $ 69,554688.
융합산업의 기술궤적 추적에 관한 연구 : 마이크로의료로봇 산업을 중심으로

The advent of the convergence era led to the convergence of industries while increasing the uncertainty of R&D. R&D uncertainty can be addressed by identifying and addressing industrial innovation patterns, which Neo-Schumpeterian suggested can be identified through the process of identifying the technical characteristics of a particular industry, which can be embodied in the concept of technology trajectory. Thus, this study considered and proposed a method to track the technology trajectory of the convergence industry through topic modeling and patent citation network analysis, and applied it to the micro medical robot industry, which is a representative convergence industry, to track the technology trajectory of active catheter. In particular, it is intended to identify the unique characteristics of the industry by identifying the industry before the promotion of the national-led medical robot industry support policy. Therefore, we tried to understand the innovation pattern of the industry by tracking the technology trajectory of the industry before 2017, the time of full-scale support for the medical robot industry in the United States. Through tracking technology trajectories, the role of each technology classification, the development path, and the knowledge flow between applicants were analyzed empirically. The results of this study are expected to contribute to resolving the remaining uncertainties in the process of establishing an active catheter R&D strategy, one of the leading convergence industries, and furthermore, it is expected to be available for tracking technology trajectories in other industries.
PENERAPAN DATA MINING ASOSIASI PADA PERSEDIAAN OBAT

Drug stock shortages or vacancies at a hospital will have a very bad impact on the success and smoothness of drug delivery transactions, the cause of a drug stock vacancy is the absence of information conveyed from the pharmaceutical installation to the supplier of the drug supplier. To prevent this, we need a system that can help suppliers of goods in order to know about the availability of drugs in pharmaceutical installations. Based on drug transaction data, this system is built using the Association method with Apriori algorithm which is a technique in data mining to find associative rules of combination between itemset. The calculation is done by determining support and confidence that will result in association rules, which can be used to determine what drug stocks are needed to prevent a drug stock gap.
Securing Cryptoasset Insurance Services with Multisignatures.

There is a number of threats related to cryptoassets processed by exchange services: the threats range from unintentional data leaks, through fraudulent cryptocurrency exchanges and poorly implemented protocols, to broken private keys. In this paper an information system reducing the risks related to cryptoasset loss is proposed. Specific business model as well as technological countermeasures are applied. The novelty of the presented solution is in the transfer of the security risk to the insurer without transferring full control over the cryptoassets by taking advantage of multisignature and timelock technologies. The architecture for cryptoasset insurance system has been described along with a set of corresponding communication protocols, which are followed by a short discussion. The description of the solution is preceded by a risk analysis related to cryptoasset security and countermeasures analysis related to those risks.
BILETA Response to UK Intellectual Property Office call for views on Artificial Intelligence and Intellectual Property

© 2021 BILETA - British and Irish Law Education and Technology Association. The British and Irish Law Education Technology Association (BILETA) was formed in April 1986 to promote, develop and communicate high-quality research and knowledge on technology law and policy to organisations, governments, professionals, students and the public. BILETA also promotes the use of and research into technology at all stages of education. The preparation of this response has been funded by BILETA.
Detection of tremors in the Marlborough region and its relationship with the 2016 Mw 7.9 Kaikoura (New Zealand) earthquake

&amp;lt;p&amp;gt;Seismic tremor has previously been reported in the Marlborough (New Zealand) region, with detections made using the national GeoNet network. However, because of the sparsity of that network, only 40 tremors were detected using 6 stations. We conducted a similar analysis again, but this time using data from 4 stations from the GeoNet network as well as 16 stations from a local campaign network, bringing the total number of stations to 20. Our new tremor catalog contains 4699 tremors (around 100 times more events than the previous catalog) and spans the period 2013-2019 which include the major 2016 Mw7.9 Kaikoura earthquake. Based on our current knowledge, that makes the Marlborough region the most active region for tremors in New Zealand.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The observed tremor in the region are split into two clusters, separated by a gap of around 20 km. The South-West cluster has an elongated shape in the direction of the upper-plate dextral strike-slip (Hope and Clarence) faults. The occurrence of tremor before the Mw 7.9 Kaikoura earthquake is fairly constant over time. After the earthquake however we observe &amp;amp;#160;a strong acceleration in the rate of tremor, that slowly recovers over time. At the end of the analysis (May 2019), more than 2 years after Kaikoura earthquake, the tremor burst rate has still not recovered to the previous rate before the earthquake. We also observe several episodes of tremor migration, with a migration velocity of around ~50km/day, most of the migration being from South-West to North-East.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This new tremor catalog provides a unique opportunity to better understand possible interaction of a major earthquake with the tremor activity and will help to better understand the local tectonic activity of the Marlborough region.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;
English Instructional Video Design for Islamic Junior High School

The purpose of this study is to investigate the perceptions of teachers andstudents in Islamic Junior High School about duration, their involvement inthe video (cast), format and post-video watch activities of English supplementary videos to ensure the videos that will be made are effective. Using a descriptive quantitative method, this study reveals that video is a fun learning tool to study English, so that the students don’t mind if the video duration is more than 15 minutes. About the cast, the students inclined to be involved in producing the video. About the format, the majority chooses the drama method with Bahasa subtitled. About the post-video watch activities, they prefer to do a writing rather than a speaking activity. During the video playing, they didn’t taking a note or observing the whole plot yet, so that they wish the video can be replayed outside the class,just like on television or youtube
사회언어학적 접근으로 본 언어 교육 연구 : ≪사회언어학≫에 발표된 논문들을 중심으로

This paper's main purpose is to review research articles on language education with sociolinguistic approach, which have been published in The Sociolinguistic Journal of Korea since 1993. It synthesizes the current trends of language education research with the approach that paves the way for future academic sociolinguistic accomplishments. The journal's research studies of language education have mostly focused on Korean and English education along with a handful of other languages. Approximately 150 research studies are categorized and reviewed with emphasis on themes, goals, and their pedagogical implications. As this review is primarily of the articles published in The Sociolinguistic Journal of Korea, the conclusion suggests that a number of scholars have consistently and persistently conducted meaningful research on language education over the past several decades with a variety of research questions, yielding significant academic achievements. This paper is limited in that it does not represent the whole of research trends of language education studies with sociolinguistic approaches in Korea. However, this synthetical review does provide a general perspective of the overall flow of language education studies from a sociolinguistic perspective.
24 MODIFIED KEYWORD BASED RETRIEVAL ON FABRIC IMAGES

Considering diversity of patterns and texture of fabrics in the global markets, keyword-based image retrieval has gained more interest due to its efficiency. Recent researches show that the user defined keywords have not led to enough precision because of human error. These keywords should be revised before image retrieval. Therefore, success of the keyword-based image retrieval depends on the rate of correcting keywords which those are specified by user. In this paper, a method is presented for the keyword-based retrieval on fabric images to improve the user defined keywords. It is done by eliminating wrong keywords, and also adding new keywords to the fabric images. The proposed approach was implemented on 1000 images with different texture, and pattern where the results represented %91 to %100 retrieval precision.
교육체험 강화를 위한 온라인 뮤지엄 전시디자인 연구 - 포크와 디어킹의 맥락적 학습모형을 중심으로 -

In the age of digital transformation, online museum exhibitions have attracted more public attention as a new method of museum education with the convergence of digital technology. This study intended to specify how to reinforce the educational experience of online museum exhibitions, based on Falk and Dierking's contextual model of learning. First, theoretical reviews, regarding the changing role and education of museums, online museum exhibitions, the contextual model of learning and smart learning, were conducted. Based on Falk and Dierking's contextual model of learning, characteristics of Online Museum Exhibitions were developed, which is personalization, interaction, viewing, mobility, information characteristic. With these, case analysis were carried out. After then, the results were following. First, online museum exhibition did not support individualization elements in personal context. Second, most of the ways of interacting with others in a sociocultural context were through link sharing and educational contents on video platforms. Third, in terms of physical context, the online museum exhibition supported viewing behavior by zooming in on the work. And also It supports mobility by discontinuous transitions rather than continuous transitions. It also helped to recognize information about the exhibition through audio-visual information elements such as text, image, audio, and video. Finally, the direction of online museum exhibition in terms of contextual learning to reinforcement of educational experience is as follows. First, temporary exhibitions of online museums require database-based personalized services to build an educational environment tailored to individuals in terms of personal context.Second, in terms of socio-cultural aspects temporary exhibitions of online museums require services to share experiences to intereact with learners. And it also requires educational programs through various platforms. Third, in order to support viewing behavior in online exhibitions in terms of physical context, viewing elements, mobility elements, and audio-visual information elements should be actively utilized.
AN ANALYSIS OF STUDENTS READING COMPREHENSION ON NARRATIVE TEXT AT SMP PENCAWAN MEDAN

The researchers applied descriptive qualitative method in this research to describe the students’ ability in reading comprehension narrative text in this research at grade VIII of SMP PENCAWAN MEDAN. Consequently, the purpose of this research is to find out the students’ difficulties in reading comprension narrative text. The researchers used a reading test and interview instruments in this study. There was 18 students of class VIII SMP PENCAWAN MEDAN was done the research.Based on the result obtained, it was found only 4 students managed to get  >90, and most students get <55. It is known that their ability in reading comprehension was poor. It caused by the lack of vocabulary and lack of desire to read narrative text
ANALISIS DAN PERANCANGAN PENGARSIPAN DI KANTOR PELAYANAN PAJAK MADYA BATAM

The Taxation file management application is an application that manages tax files for processing or those that have been completed. By managing files, recording incoming files, recording outgoing files, calculating the estimated completion time of files and filing files will make it easier for employees to manage the files themselves. Batam Intermediate Tax Service Office is a tax office that carries out the management of the required files in accordance with tax rights and responsibilities and the files themselves. In research conducted to carry out systematic filing administration in order to facilitate tax officials in managing files. In making the analysis and design, the author conducts research on the tax files that are a problem so that the application can work later, so that employees no longer experience difficulties in managing files. The method used to design this system is SDLC.
Highly Efficient Speckle Noise Removal in Medical Images Using GSO Optimization

Biomedical imaging assumes a significant function in different applications, such as early diagnosis, surgery, and classification. In general, the captured image is affected by noise, voltage, temperature fluctuations, and environmental conditions. Before image processing, the image must be pre-processed and unwanted pixel deviation should be removed to obtain a more accurate result. In image classification, the accuracy is directly proportional to the quality of the input image. This paper suggests a new way to remove speckle noise from input images using Glowworm Swarm optimization (GSO) and Wavelet Packet Transformation (WPT). The proposed technique is tested with several sample images and results were obtained with improved quality metrics. Various quality metrics such as Mean Square Error (MSE), Structural Similarity Index Metrics (SSIM), and Mean Absolute Error (MAE) are used to evaluate performance. From the analysis of the results, the proposed technique accomplishes better visual quality than the traditional methods.
Rancang Sistem Cek Stok Seragam Sekolah Berbasis Supply Chain Management (SCM) Pada UD Rohana

Business competition in the field of selling school uniforms in Medan is currently very tight. UD Rohana is a business unit engaged in the sale and purchase of school uniforms. At UD Rohana itself, at every moment the increasing demand often experiences problems in stocking and distributing existing uniforms to consumers (shops / retailers). This of course will be a loss for UD Rohana in carrying out its business turnaround. For this we need a system that can monitor and check the condition of the stock of goods in several stores. So that if there is an increase in demand or sales in one shop where the demanded goods are accumulated in another shop, then UD Rohana can distribute them to the stores that need them. Supply chain management in the business world has adopted a lot of Supply Chain Management (SCM). With implementing SCM, we can control the existing business processes at UD Rohana. For methods in system development using Rapid Application Development (RAD) and for system business processes using the Unified Modeling Language (UML). The results of this study are the development of a school uniform distribution information system successfully developed by adopting the SCM system.
PENGEMBANGAN DIGITAL LIBRARY MENGGUNAKAN SENAYAN LIBRARY MANAGEMENT SYSTEM (SLIMS) DI LABORATORIUM MULTIMEDIA JURUSAN KTP FIP UNP

This research is a research development known as research and development (R & D). The development model used is a development model proposed by Borg and Gall modified. The product of this development was assessed by 2 media experts and practicable test of 20 members of FIP UNP library. Instruments used in this research are documentation, assessment format and questionnaire to see the ease for the subject try using digital library product. The results of this research indicate that the digital library product that has been developed to get the category of Excellent from both media expert validators. Similarly, the results of practicality test against library members obtained the assessment with the category Very Good with the acquisition value of 4.55. Thus the results showed that digital library products using the application Senayan Library Management System (SLiMS) Version 8 in the FIP UNP Library that has been developed valid and practical to use. Keywords : Digital Library , Senayan Library Managemen System     (SLiMS)
Challenges and opportunities for geothermal exploration and hydrothermal research: Recent advances utilizing geothermal play fairway analysis in the Western USA

PreviousNext You have accessSymposium on the Application of Geophysics to Engineering and Environmental Problems 2021Challenges and opportunities for geothermal exploration and hydrothermal research: Recent advances utilizing geothermal play fairway analysis in the Western USAAuthors: James E. FauldsJohn W. ShervaisPhilip E. WannamakerCorina ForsonNicole LautzeJames E. FauldsUniversity of NevadaSearch for more papers by this author, John W. ShervaisUtah State UniversitySearch for more papers by this author, Philip E. WannamakerUniversity of Utah/EGISearch for more papers by this author, Corina ForsonWashington Geological SurveySearch for more papers by this author, and Nicole LautzeHawaii Institute of Geophysics and PlanetologySearch for more papers by this authorhttps://doi.org/10.4133/sageep.33-083 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Although significant progress has been made in characterizing favorable settings for geothermal activity, barriers remain that inhibit the ability to assess potential resources, prioritize sites, and minimize risk ahead of expensive drilling. Resolution of these barriers requires multi-disciplinary approaches that integrate multiple data sets and utilize geostatistical techniques. Major challenges include defining logical relative rankings of each geological, geochemical, and geophysical parameter and combining multiple data sets into comprehensive geothermal potential/permeability maps. Keywords: artificial intelligence, faults, machine learning, magnetotelluric, permeabilityPermalink: https://doi.org/10.4133/sageep.33-083FiguresReferencesRelatedDetails Symposium on the Application of Geophysics to Engineering and Environmental Problems 2021ISSN (online):1554-8015Copyright: 2021 Pages: 349 publication data© 2021 Published in electronic format with permission by the Society of Exploration Geophysicists and Environment and Engineering Geophysical SocietyPublisher:Environmental & Engineering Geophysical Society HistoryPublished: 11 Jun 2021 CITATION INFORMATION James E. Faulds, John W. Shervais, Philip E. Wannamaker, Corina Forson, and Nicole Lautze, (2021), "Challenges and opportunities for geothermal exploration and hydrothermal research: Recent advances utilizing geothermal play fairway analysis in the Western USA," Symposium on the Application of Geophysics to Engineering and Environmental Problems Proceedings : 167-168. https://doi.org/10.4133/sageep.33-083 Plain-Language Summary Keywordsartificial intelligencefaultsmachine learningmagnetotelluricpermeabilityPDF DownloadLoading ...