Reviewerly/exHarmony huggingface dataset:
Perancangan Produk Tekstil Merchandise Untuk Komunitas Into The Light Menggunakan Teknik Rekalatar

Abstrack Technology advancesare also the cause of new problems, one of them is cyberbullying which could make the victim to succumb to depression and suicide. As a prevention of said issue, a community by the name of Into The Light in order to help increase awareness and give counseling to society and bullying victims. The community has helped educate people, but there is also the need of exclusive merchandises for the community itself and the visitor that could be applied as business opportunity for Into The Light community itself. The methods used in this research are qualitative and quantitative research methods. Keywords Into The Light community, Cyber bullying, Merchandise Products
Embedded Sensor Systems for Health Plus (ESS-H+) An overview of scientific areas and interdisciplinary target

ESS-H+ will continue the work in the KKS research profile Embedded Sensor Systems for Health (ESS-H) at Malardalen University. ESS-H has during six years provided important collaboration between re ...
DEVELOPMENT STRATEGY OF EDUCATION CURRICULUM IN STTAL

In the era of the industrial revolution 4.0, the preparation of mastery of maritime technology and the preparation of human resources is the urgency of the Navy's education. STTAL as one of the Navy's educational institutions has a strategic role as a producer of the Navy's human resources capable of merging themselves in technological development. Demands for the development of science and technology that are so fast affect the development of modernization of technology in the rank of maritime technology and graduate qualifications, it is necessary to make adjustments by conducting an evaluation and development in the education curriculum. A concrete step in addressing this requires a strategy to develop STTAL education curriculum in response to scientific vision, efforts to achieve graduate qualifications expected in accordance with societal needs and stakeholder needs. With SWOT analysis, a matrix will be obtained which shows the strengths and weaknesses as well as opportunities and threats which will later be used as a reference to make the right and appropriate strategies.Keywords: SWOT Analysis, STTAL Education Curriculum, Industrial Revolution 4.0
Identifying Repeated Sections within Documents

Identifying sections containing a logically coherent text about a particular aspect is important for fine-grained IR, question-answering and information extraction. We propose a novel problem of identifying repeated sections, such as project details in resumes and different sports events in the transcript of a news broadcast. We focus on resumes and present four techniques (2 unsupervised, 2 supervised) for automatically identifying repeated project sections. The knowledge-based method is modeled after the human way closely. The other methods are based on integer linear programming and sequence labeling. The proposed techniques are general and can be used for identifying other kinds of repeated sections (and even non-repeating sections) in different types of documents. We compared the four methods on a dataset of resumes of IT professionals and also evaluated the benefits of identifying such repeated sections in practical IR tasks. To the best of our knowledge, this paper is the first to propose and solve the problem of repeated sections identification.
KEGIATAN PENYIANGAN (WEEDING) BUKU, PASCA INTEGRASI PERPUSTAKAAN FAKULTAS DENGAN UNIT PELAKSANA TEKNIS PERPUSTAKAAN UNIVERSITAS SEBELAS MARET SURAKARTA

&lt;p&gt;The purpose of this paper are (1) to describe any procedures in the weeding activities after integrated library faculty with central library at Sebelas Maret Univercity in Surakarta and (2) to describe any obstacles encountered in the process of weeding at after integrated library faculty with central library at Universitas Sebelas Maret Surakarta. The type of this research is qualitative research through parsipative observation and study literature. The results of the research are summarized as follow. First, the process of weeding activity management a the Library after integrated&lt;br /&gt;faculty library with central library at Univesitas Sebelas Maret Surakarta became old collection, Second. The obstacles faced in weeding activity management at Universitas Sebelas Maret is the absence of a written policy in weeding activities management, limits of space to surve collection, limits of librarians, and mistake of inputing on computer data base.&lt;/p&gt;&lt;p&gt;Key words: collection, weeding, old collections&lt;/p&gt;
Development of a Standard of Solarimetric Stations SONDA

With the increasing of energy demand in Brazil and the unprecedent popular support for the use of energy sources with low environmental impact, the market for photovoltaic energy has become progressively relevant.Thus, it is of strategic importance to HIGHLIGHTS• Shadowing simulation of a solarimetric station.• Description of equipment from the solarimetric station.
Cloud-based Personal Data Protection System and Its Performance Evaluation

This article uses Information technology (IT) to assist in the fulfillment of personal information protection and reduce IT risks within an organization. Advanced IT approaches are adopted to locate and verify personal information. Whenever the Personal Information Protection Act (PIPA) is violated unnoticeably by users, the proposed system will effectively detect files with personal information by means of cloud computing and alert those users. This study uses Hadoop distributed computing platform to support computation of huge amount of data. To avoid the risk of information leakage when duplicating personal information to worker nodes in Hadoop cloud platform, personal information is hashed before transmission. To detect personal information, documents are analyzed using automata-based programming to locate suspicious words. Every suspicious word is then verified with the help of a personal information database. Finally, this study analyzes the computing efficiency of Hadoop nodes and experimentally shows how to adjust the number of maps in each node of the Hadoop MapReduce structure to optimize system performance.
PENGADAAN KOLEKSI BAHAN PUSTAKA TERCETAK UPT PERPUSTAKAAN UNIVERSITAS JANABADRA YOGYAKARTA

&lt;p&gt;This study aims to explain the implementation of procurement collection library materials printed on central library Janabadra Yogyakarta, this study used qualitative methods by data collection in the form of observation and interview. Based on procurement activities conducted that the library Janabadra Yogyakarta apply method 2 that is 1. Procurement through the purchase with the publisher a year 2 times. 2 procurement of library materials through gifts / donations from internal and external parties. In conducting library procurement activities in collaboration with lecturers and students in fulfilling the collection in the library that remains based on the development of science and the applicable syllabus. Recommendations from the authors to the library make written policy as the basis of procurement activities and procurement methods are added so that the available collection more diverse.&lt;/p&gt;&lt;p&gt;Keywords : Acquition, Janabadra Library, Librarian&lt;/p&gt;
Building a Mobile Reporting Dashboard System based on Android using Web Service Restful for Congregation data

The development of the Church is increasingly growing marked by the increasing number of people who attend the church. The church needs to utilize technology in paying attention to spiritual growth in existing congregations. But to do that, there needs to be a system that can see data that is well visualized and can be used by the church. It is not easy to visualize data manually so a practical and portable system is needed. The purpose of this study is as a material consideration in seeing the development of the Church in the Church and improve efficiency without having to use a computer. The process of gathering congregational data comes from the data warehouse of the Indonesian Christian Church Synod in the Central Java Region which is obtained from the Church Information System called SISWA which is local in every church. The interface design process is also carried out using User Centered Design which is centered on the user. This system will be designed using Resrful web Service which has better capabilities than other web services. By building this system, it can facilitate the church in seeing the development of the church and can be taken into consideration in making decisions by the church.
The continuous wavelet transform in the extraction of information from wavefields

Artifacts in reverse time migration (RTM) are low spatial frequency noise that appears due to the undesired correlation of head waves, diving waves and backscattered waves in seismic migrated images when the zero-lag cross-correlation imaging condition is applied.Effects associated with artifacts are the possible concealment of important details in images.Different methods have been proposed to eliminate or attenuate these artifacts by modifications of the wave equation, using different imaging conditions or filtering techniques.In this work we propose the use of the continuous wavelet transform to extract relevant information about source and receiver wavefields in order to obtain data of components of these wavefields.
Ocular biomechanics modelling for visual fatigue assessment in virtual environments

The study objectively quantifies visual fatigue caused by immersion in virtual reality. Visual fatigue assessment is done through ocular biomechanics modelling and eye tracking to analyse eye movement and muscle forces into a visual fatigue index.
Understanding the interconnectedness of ecosystem of young children in the 'Living things in the Park' project as an example of education for sustainable development

연구목적은 ‘공원에 살고 있는 것’ 프로젝트 과정 중 유아들의 생태계 상호연결성 이해 단계를 밝히는 것이다. 연구 참여자는 S어린이집의 만 5세 반 교사 1명과 유아 20명, 그리고 프로젝트 전 과정을 지원한 그 원의 원장이다. 프로젝트는 2018년 3월 26일∼2018년 4월 27일까지 5주간 진행되었다. 연구 자료는 프로젝트 과정 중 작성된 교사 연구일기부터 연구자 저널까지 다양하게 수집되었다. 분석방법은 질적 분석방법 중 나선형 자료 분석 과정을 따랐다. 연구결과로서 유아의 생태계 상호연결성 이해 단계는 1) 생물 각각에만 관심 보이는 단계, 2) 두 자연물 간의 연결성을 막연하게 인식하는 단계, 3) 두 자연물 간의 상호연결성을 사실적으로 인식하는 단계, 4) 두 자연물 이상의 상호연결성과 생태계에 대한 인간의 영향을 인식하는 단계, 5) 건강한 생태계를 위한 삶의 변화 필요성을 인식하고 노력하는 단계까지의 5단계로 나타났다. 이런 결과에 기초하여 크게 4가지 점을 논의하고 추후 연구과제 1가지를 제안하였다. 시사점으로, 동네 공원이 유아교육의 효과적인 장으로서 역할 할 수 있으며, 이때 프로젝트를 통해 생태계 구성원 간 상호연결성 이해가 단계적으로 이루어질 수 있음을 제시하였다.The purpose of this study is to identify how children understand interconnectedness of ecosystem when implementing the living things in the park project. Participants were 20 children of age 5 attending S child care center, the classroom teacher, and the director of the institution who supported the whole project. The project lasted for five weeks from March 26, 2018 to April 27, 2018. Various types of research data were gathered including teacher s reflective journals and observation journals, which were conducted during the project. The data were analyzed based on the spiral analytic approach as one of qualitative analysis methods. Five phases of their interconnectedness understandings about ecosystem were found. They were a phase of showing interests only to the living creatures, a phase of vaguely recognizing the connectedness of two natural objects, a phase of realistically recognizing the connectedness of two natural objects, a phase of recognizing the interconnectedness of two natural objects and the impacts that human beings have on the ecosystem, and a phase of recognizing the need of change and strive for a healthy ecosystem. Implications were suggested in terms of the importance of utilizing the community parks for young children and their development of step-by-step understandings of the ecosystem community members’ interconnectedness.
A fractal image denoising algorithm in wavelet domain

An image denoising and enhancement algorithm based on fractal coding in wavelet domain is presented. Among them, A lemma is introduced first, and the advantages of fractal coding in wavelet domain are analyzed. Then, the denoising algorithm and experimental results based on fractal coding in wavelet domain are given in detail, and the experimental results are analyzed. When the noise level is high, the denoising effect of this method is better than that of the general method, and has higher logarithmic signal-to-noise ratio and peak logarithmic signal-to-noise ratio. At the same time, the calculation amount of this algorithm is smaller and the precision is higher.
On a Learning Method of the SIC Fuzzy Inference Model with Consequent Fuzzy Sets

In the conventional fuzzy inference models, various learning methods have been proposed. It is generally impossible to apply the steepest descent method to fuzzy inference models with consequent fuzzy sets, such as Mamdani's fuzzy inference model because it uses min and max operations in the inference process. Therefore, the Genetic Algorithm (GA) was useful for learning of the above model. In addition, it has been also proposed the method for obtaining fuzzy rules of the fuzzy inference models unified max operation from the steepest descent method by using equivalence property. On the other hand, Single Input Connected (SIC) fuzzy inference model can set a fuzzy rule of 1 input 1 output, so the number of rules can be reduced drastically. In the learning method of SIC model unified max operation with consequent fuzzy sets, GA was only applied to the model. Therefore, this paper proposes a leaning method of SIC model unified max operation with consequent fuzzy sets by using equivalence. Moreover, the proposed method is applied to a medical diagnosis and compared with the SIC model by using GA.
Optimizing Students’ Reading Comprehension Through Direct Reading Thinking Activity

The research was conducted in order to know how Direct Reading Thinking Activity improve students’ reading comprehension This research was done by using the Classroom Action Research method to solve the problems faced by the students. This research was conducted at the second-semester students of Islamic Education Study Program in IAIN Pontianak. The researcher used purposive sampling as the sampling technique by choosing class D consisting of 24 students as the sample of the research. After the result of the test had been calculated and analyzed by the researcher, the result showed the mean score for the first cycle was 67, and 72 in the second cycle. The students also showed a positive response during the implementation of Direct Reading Thinking Activity in teaching reading comprehension. It can be indicated that the students’ achievement in reading comprehension had been improved through Direct Reading Thinking Activity. Based on the result above, the researcher concluded that Direct Reading Thinking Activity can improve students’ reading comprehension well. The researcher suggested to the other teachers who want to teach the students with the material of reading comprehension, Direct Reading Thinking Activity is appropriate to be used in improving students’ achievement.
Penerapan Teknologi Cloud Computing Untuk Aplikasi Repository Data Di Universitas Muhammadiyah Gorontalo

Current technological developments have supported all needs and requests for information for each individual through the creation of information presentation media, which is used to convey information as desired. In utilizing the technological development itself, researchers intend to apply Cloud Computing technology for data repositories at University of Muhammadiyah Gorontalo.Repository of this data is expected to help the performance of Academic and Supporting Staff and Students in the University of Muhammadiyah Gorontalo. The aim of this research is to be able to apply Cloud Computing technology for database repository applications so that it can help Lecturers and Academic Support Staff and Students for administrative and other purposes that can be stored in a database or file for later distribution using a computer network. This study conducted a stage that began by surveying whether the Muhammadiyah University of Gorontalo had applied this Cloud Computing technology to this data repository, then collected the data needed to create a Repository system. The output of this system was a Repository system containing data from Academic and Academic Support Staff and students at Muhammadiyah University, Gorontalo.
Predictive Modelling of Benign and Malignant Tumors Using Binary Logistic, Support Vector Machine and Extreme Gradient Boosting Models

Breast cancer is the leading type of cancer among women worldwide, with about 2 million new cases and 627,000 deaths every year. The breast tumors can be malignant or benign. Medical screening can be used to detect the type of a diagnosed tumor. Alternatively, predictive modelling can also be used to predict whether a tumor is malignant or benign. However, the accuracy of the prediction algorithms is important since any incidence of false negatives may have dire consequence since a person cannot be put under medication, which can lead to death. Moreover, cases of false positives may subject an individual to unnecessary stress and medication. Therefore, this study sought to develop and validate a new predictive model based on binary logistic, support vector machine and extreme gradient boosting models in order to improve the prediction accuracy of the cancer tumors. This study used the Breast Cancer Wilcosin data set available on Kaggle. The dependent variable was whether a tumor is malignant or benign. The regressors were the tumor features such as radius, texture, area, perimeter, smoothness, compactness, concavity, concave points, symmetry and fractional dimension of the tumor. Data analysis was done using the R-statistical software and it involved, generation of descriptive statistics, data reduction, feature selection and model fitting. Before model fitting was done, the reduced data was split into the train set and the validation set. The results showed that the binary logistic, support vector machine and extreme gradient boosting models had predictive accuracies of 96.97%, 98.01% and 97.73%. This showed an improvement compared to already existing models. The results of this study showed that support vector machine and extreme gradient boosting have better prediction power for cancer tumors compared to binary logistic. This study recommends the use of support vector machine and extreme gradient boosting in cancer tumor prediction and also recommends further investigations for other algorithms that can improve prediction.
Proceedings of the 15th SweCog Conference

In an article published in Nature: Human Behavior, Nunez et al. (2019) asks What happened to cognitive science? The authors review bibliometric and socio-institutional aspects of the field and argu ...
Uppfinningar och upprättelse - Om brottsoffer, straffansvar och självkörande fordon i ljuset av Utredningen om självkörande fordon på väg

This study analyses the considerations, regarding criminal culpability, of the Committee on autonomous vehicles (SOU 2018:16) from a victim’s perspective. The victim’s perspective is based on victimological research presenting redress as a clear need of victims of harm. The definition of a victim is, in this thesis, centred around the harm of an individual injured or killed by an autonomous vehicle as opposed to whether a criminal act has been committed or not.The Committee argues whoever constitutes the driver of an autonomous vehicle should not have a criminal responsibility to monitor the automated driving system. Instead, the Committee proposes other criminal provisions as well as arguing chapter 3 of the Swedish Penal Code would remain applicable in situations where an individual is injured or killed. Regarding traffic violations, the Committee proposes a system of sanction charges as opposed to, as of present, criminal punishment.This study illustrates the prevailing definition of a criminal act (brottsbegreppet) as incompatible with an automated driving system performing the dynamic driving task. Therefore, the Committee may have assumed an applicability which is non-existent. In the absence of an explicit duty to act (garantstallning), it is likely the principle of legality prevents criminal culpability for an individual inside an autonomous vehicle or someone monitoring the vehicle remotely. Holding the owner of the vehicle or the vehicle manufacturer criminally responsible is also unlikely with regards to the prevailing definition of a criminal act and its limits. In more extreme cases the intent crimes in the Swedish Penal Code, and the proposed criminal provisions, may be applicable. Though as a result of the Committee’s proposal, it may be difficult to hold someone in an autonomous vehicle criminally culpable for an accident, even if this individual had opportunity to intervene. This may cause a large part of injuries inflicted by autonomous vehicles to fall outside of the criminal justice system and diminish the victims’ opportunities to obtain redress. Even though traffic violations may result in sanctions charges, such a system cannot replace the criminal justice system with regards to providing redress.I aim to bring light to an additional perspective, not argue for criminalisation of any kind. It is clear the Committee has disregarded potential victims’ interests and instead solely focused on the interests of a potential defendant. With emphasis on redress, the proposals of the Committee appear unsatisfactory. Particularly considering the Committee does not consider potential victims in its reasoning and because the Committee seems to assume an applicability of the law which may not exist.
Optimized Service System for Rail Travel Management Using Big Data Framework

Big data analytics can absolutely be a pace mover for decision-making in the current scenario. Big data includes approaches such as to gather, store, and process, break down and envision a lot of heterogeneous data. Train generates a tremendous amount of raw data every time they move. Delay management proves to be a field where data analytics can solve a variety of issues in the current rail industry. By more precise usage, big data analytics will provide accurate and best solutions for train delay prediction system across many countries. In existing system a data driven model is framed for train delay prediction which are based on train movement with this implementation it's possible to calculate the dwell time, successive checkpoints and locations by using incremental iteration algorithm. In proposed system, data driven model like weather data and the train movement data are integrated together to predict the train delays. The computation process of both data is compared by apache spark and visualize using Elastic search Kibana. The optimization efficiency can be compared by incremental iterative algorithm and bulk iterative algorithm to obtain optimal results.