Reviewerly/exHarmony huggingface dataset:
On Hardware-Accelerated Maximally-Efficient Systolic Arrays : Acceleration and Optimization of Genomics Pipelines Through Hardware/Software Co-Design

Developments in sequencing technology have drastically reduced the cost of DNA sequencing. The raw sequencing data being generated requires processing through computationally demanding suites of bioinformatics algorithms called genomics pipelines. The greatly decreased cost of sequencing has resulted in its widespread adoption, and the amount of data that is being generated is increasing exponentially, projected to soon rival big data fields such as astronomy. Therefore, acceleration and optimization of such genomics pipelines is becoming increasingly important. The BWA-MEM genomic mapping algorithm is a critical first step of many genomics pipelines, as it maps the raw input sequences onto a reference genome, thereby reconstructing the sample's original genetic assembly. A major part of overall BWA-MEM execution time is spent performing Seed Extension, an algorithm closely related to the Smith-Waterman pairwise sequence alignment algorithm. The standard approach for the heterogeneous acceleration of the Smith-Waterman algorithm is to map it onto a systolic array architecture to compute elements of the similarity matrix in parallel. In order for systolic arrays to operate at high efficiency, they require long sequences to be aligned to one another. The BWA-MEM algorithm, in contrast, typically generates very short sequences that then require pairwise alignment through the Seed Extension algorithm. Therefore, in this dissertation, various techniques to improve the efficiency of systolic arrays for short sequence lengths are proposed. The Variable Logical Length, the Variable Physical Length, and the Variable Logical and Physical Length systolic array architectures are proposed to eliminate the dependence of systolic array efficiency on read sequence length. To eliminate its dependence on reference sequence length, a streaming, implicit synchronizing architecture is introduced. Together, these techniques result in a maximally-efficient systolic array. A Seed Extension kernel has been implemented on both FPGA and GPU with a threefold kernel-level improvement to execution time, resulting in the first FPGA-accelerated and the first GPU-accelerated implementation of BWA-MEM with an overall end-to-end twofold application-level speedup. Moreover, a Smith-Waterman implementation has been developed on FPGA using the above efficiency improvements to the systolic array architecture, resulting in an implementation that has a performance of 214 GCUPS and that is able to attain 99.8% efficiency, which is the highest reported efficiency and performance of any FPGA-accelerated Smith-Waterman implementation to date. Finally, various aspects of these designs are evaluated, including power-efficiency and design-time.
The Xai paradox: Systems that perform well for the wrong reasons

Many of the successful modern machine learning approaches can be described as ``black box'' systems; these systems perform well, but are unable to explain the reasoning behind their decisions. The emerging sub-field of Explainable Artificial Intelligence (XAI) aims to create systems that are able to explain to their users why they made a particular decision. Using artificial datasets whose internal structure is known beforehand, this study shows that the reasoning of systems that perform well is not necessarily sound. Furthermore, when multiple combined conditions define a dataset, systems can preform well on the combined problem and not learn each of the individual conditions. Instead, it often learns a confounding structure within the data that allows it to make the correct decisions. With regards to the goal of creating explainable systems, however, unsound rationales could create irrational explanations which would be problematic for the XAI movement.
Testing in the Digital Age

How do you test a robot? Is testing an intelligent machine different from testing traditional IT systems?Can we use a robot to make testing easier?Will artificial intelligence take over all testing activities? These and many more questions may come to mind in the current digital age. When reading about the tremendously fast-moving developments that are currently happening in information technology (e.g., computers) and operational technology (e.g., factories), with artificial intelligence, machine learning, robots, chatbots, self-driving cars, autonomous vacuum cleaners, and many other intelligent machines.
Investigation and Research on the Present Situation of Flower Ball Cheerleading in Primary and Middle Schools in Linyi City

The flower ball cheerleading is to improve the students ' physical health level, to improve their athletic skills and cultivate their cooperative consciousness and competitive spirit, this paper investigates the teaching situation of flower ball cheerleading by means of literature, expert interview, questionnaire survey, mathematical Statistics and logical analysis, and concludes: The faculty strength is weak, the site facilities are not perfect, the school leader has not paid enough attention to the flower ball, the teacher professional training is not timely.
Development of Earthquake Bed with Microcontroller Based System

Earthquakes are one of the natural disasters caused by the movement of earth crust. Due to the sudden occurrence, they can cause large-scale loss of life and property. In this context, it is very important to detect earthquakes in advance and provide a safe environment for people. Sensor systems, in many different areas, facilitate the work of people, and allow systems to be managed. User interactive systems, that include sensor systems, can be used in general to provide information to people about their environment, to give warnings under undesirable conditions and to ensure the safety of homes and workplaces. In this study, earthquake detection studies were performed based on the acceleration, vibration and motion sensors inside the bed system in a certain environment. The sensor data are processed with Arduino microcontroller. After the earthquake is detected, the motor that inside bed, closes the cover of the bed. In this way, it is ensured that the person/persons in the bed are affected by the least damage from the earthquake.
ARClassEvaluation: Avaliação do Uso de Realidade Aumentada em Ambientes de Ensino Presencial

Popular emergent technologies should support the evolution of pedagogical concepts. Augmented Reality (AR) mixed virtual objects on the real environment and is one example of those technologies. This work is encouraged by the possibility of the use of AR in the classroom as a tool that supports the learning process. The use of AR by professors and other professionals dedicated to education demands the creation of new friendly interfaces. This work introduces a mobile tool for quantitative and qualitative evaluation of the classroom as local for the use of augmented reality. Besides, we present a methodology proposed and a case study as proof of the concept.
PERBAIKAN CITRA RGB DENGAN METODE HOMOMORPHIC FILTERING MENGGUNAKAN BUTTERWORTH FILTER

The photo is made into a visual recording that has historical value or a memento. However, many memorable photos no longer look good and have noise due to the effectiveness of nature such as the evaporation of liquid that is around the image, it can also be dust or water on the surface of the image, besides that the noise can also be caused by plastic and paper materials that contained in the place where the image is stored as a photo album. For noise caused when taking digital images from camera devices can be in the form of a smoke or light coil that causes the image display is not clear. When the process of capturing RGB images often encountered noise such as black spots. Noise can be improved with several image enhancement techniques such as smoothing, leveling, and convolution. One of the improvements in noise in digital images can be done with Homomorphic filtering Method. Image improvement using the Homomorphic filtering method followed by Butterworth Filtering is part of the discrete fourier transform algorithm which confirms a concept that is rarely used to improve RGB images. However, this can be proven in the form of testing to eliminate noise in improving the quality of RGB images..Keywords: image, homomorphic, butterworth, filtering, RGB, noise
APLIKASI PENGENALAN RAMBU LALU LINTAS BERBASIS ANDROID

- One of the problems faced in big cities in Indonesia is the problem of traffic. This proven by the indication of the number of traffic accidents is always increasing. This situation is caused by several factors, one of which is due to the lack of awareness and knowledge of people towards traffic signs. The development of technology at this time especially smartphone users more and more especially Android based smartphone users because the current price is quite affordable for all people of Indonesia, therefore the author makes a mobile application using the Android Studio software titled Android-Based Traffic Sign Recognition Application using sequential algorithm method, with the Android-Based Traffic Signs Recognition application that the author made, it is hoped that the public can easily learn about traffic signs in Indonesia only with a hand, so it is hoped that in the future it can be a solution in reducing the number of traffic accidents. Keywords: Traffic, Signs, Android, Traffic Sign
IMPLEMENTASI ALGORITMA LEVENSTEIN DALAM MENGKOMPRESI TEKS PADA APLIKASI RANGKUMAN PENGETAHUAN ALAM LENGKAP

The size of the data that is owned by an application today is very influential on the amount of space in the memory needed one of which is a mobile-based application. One mobile application that is widely used by students and the public at this time is the Complete Natural Knowledge Summary (Rangkuman Pengetahuan Alam Lengkap or RPAL) application. The RPAL application requires a large amount of material storage space in the mobile memory after it has been installed, so it can cause this application to be ineffective (slow). Compression of data can be used as a solution to reduce the size of the data so as to minimize the need for space in memory. The levestein algorithm is a compression technique algorithm that can be used to compress material stored in the RPAL application database, so that the database size is small. This study describes how to compress the RPAL application database records, so as to minimize the space needed on memory. Based on tests conducted on 128 characters of data (200 bits), the compression results obtained of 136 bits (17 characters) with a compression ratio is 68% and redundancy is 32%.Keywords: compression, levestein, aplication, RPAL, text, database, mobile
Perancangan Busana Ready-To-Wear Dengan Teknik Zero Waste Fashion Design Studi Kasus : Pola Busana Geometris Kimono

Abstract Zero waste fashion design is a clothing design technique with an effective application so that it doesnâ€™t produce much waste from cloth pieces. The zero waste fashion design technique has been implemented since ancient times when the technology of making material and the process of producing clothing is still relatively simple because of the high level of difficulty. The basic form of traditional clothing tends to adapt geometric fashion forms. Considering the material produced for these garments is generally woven with the final dimensions in the form of basic geometric, square. One outfit that has a basic square geometric pattern is a kimono because the kimono pattern has the potential to be modified by using pieces of cloth so that not many pieces of cloth are left in the pre-production process. This study aims to find effective pattern designs and constructions so that there is not much waste in pre-production clothing. This research process uses qualitative methodology by collecting data through field observations to find out the dimensions of the fabric market in the city of Bandung. This research was conducted by examining the zero waste fashion technique in the kimono pattern. The geometric shape of the basic pattern of kimono clothing is used to streamline the fabric to create a zero waste fashion pattern on the dimensions of the fabric is 150 cm wide and the length of the fabric is adjusted. The results of this study are womenâ€™s modified kimono clothing with a zero waste fashion technique totaling four looks for daily wear that can be an alternative to ecofriendly clothing and a reference for the fashion designer. Keywords Zero Waste, Geometric Clothing Pattern, Kimono.
The Use of Design Thinking for Requirements Engineering: An Ongoing Case Study in the Field of Innovative Software-Intensive Systems.

Requirements Engineering (RE) has been aiding software-intensive development projects for quite some time now. However, today's projects growingly demand for agile and human-centered approaches to discover and meet the often fuzzy needs of the various stakeholders involved. In that regard, Design Thinking (DT) has become one of the most promising methods to address wicked problems and define innovative solutions. We see potential to combine both, the strongly human-oriented working mode of DT with the more formal, technology-driven world of RE, to develop human-centered solutions more effectively. Yet, little is known how such an integration could be realized and which concrete benefits and challenges to expect. To better understand this endeavor, we conduct a longitudinal case study to identify how DT and RE can work together in an agile development setting from the very beginning of idea conceptualization to market-ready implementation. In this paper, we summarize our research protocol and present first findings how Design Thinking can complement current RE practices through meeting known challenges encountered by the RE community of practitioners. We provide a better understanding of the multi-faceted potential of DT for RE for both, scholars and practitioners, and describe open issues and planned future steps in our study.
INTERFERENSI BAHASA MELAYU TERHADAP BAHASA INDONESIA (Analisis Fonologi, Morfologi, Sintaksis pada Pola Komunikasi Mahasiswa di UIN Sultan Syarif Kasim Riau)

This study aims to describe the process of interference ofMalay language on the Indonesian language;the analysis of phonology, morphology, and syntaxonthe students’ communication patterns at UIN Sultan Syarif Kasim, Riau. This is a field research study. The research was conducted on students majoring in Ibtidaiyah Madrasah Teacher Education at UIN Sultan Syarif Kasim by taking students’ communication patterns.Having takentheir communication pattern, the students are interviewed repeatedly to identify Malay language interference. In this case, there are several interferences found: Interference in the phonology and lexical field, which are divided into noun word class, verb word class, adjective word class, and pronoun word class.Interference in the grammatical field comprises interference in the field of morphology and syntax. Interference in the field of morphology includes affixation and repetition. The last, interference in the syntactic fieldinvolves the use of particles and phrase construction patterns.
Artifical Intelligence Used In Everyday Life – A Survey Analysis

Artificial intelligence (AI) is concerned with construction of intelligent devices capable of performing functions that usually requires human intelligence. These devices are controlled by machine learning, deep learning and set of rules.“AI is likely to be either the best or Worst thing to happen to humanity” – Stephen hawking Artificial intelligence has its boon and bane in our life.  AI has impacted our lives in one way or another in daily basis with its boon. Some of the examples are usage of smart phones, surfing the internet, buying product online, navigation to finding directions, mobile banking and transportations like ola and uber etc. That is why it is necessary to make a study on the effect of artificial intelligence used in everyday life. The main aim of research is to study about people’s involvement in usage of artificial intelligence and to analyse different preferences of users with respect to gender, age and occupation. Thus, the study is related to primary and secondary data collection. The study includes descriptive research, simple random sampling method is used to collect the data from 100 respondent by distributing the questionnaire in google form in primary data. The secondary data includes various sources like internet journals, articles, books etc. The percentage analysis and chi-square test are the statistical tools used for data analysis. This study will be effective for the academics, where the analysis of the study will serve as a reference and provide guidance for the future researchers, when the study is related to the same topic with references to different location.
Robust particle filter for space objects tracking under severe uncertainty

This paper presents a robust particle filter approach able to handle a set-valued specification of the probability measures modelling the uncertainty structure of tracking problems. This method returns robust bounds on a quantity of interest compatibly with the infinite number of uncertain distributions specified. The importance particles are drawn and propagated only once, and the bound computation is realised by inexpensively tuning the importance weights. Furthermore, the uncertainty propagation is realised efficiently by employing an intrusive polynomial algebra technique. The developed method is finally applied to the computation of a debris-satellite collision probability in a scenario characterised by severe uncertainty.
A Study on Simulation Software for Cloud Computing and its Applications

Currently, cloud environments are making use of virtualization technologies. Instead of running programs on computers, everything is hosted in the cloud. The latter is a model enabling an on-demand network access to a shared pool of conﬁgurable computing resources (storage, applications, services, etc.). It offers services that can be classiﬁed in three categories: Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS). These tools may include the different algorithms used by different service providers. This paper presents a survey of the existing simulation tools in cloud computing. It provides also a critical and comparative analysis of the studied tools. Finally, it stands out a major challenge to be addressed for further research.
ANALYSIS ON LEXICAL DENSITY AND SOPHISTICATION IN KOREAN LEARNERS’ SPOKEN LANGUAGE

The proficiency level of second language development can be judged by the learner’s output and be used to estimate the learner’s stage of learning. The linguistic production can be used to see how a learner’s language knowledge has been internalized. In this case, factors such as accuracy, fluency, and complexity can be considered. In this study, lexical density and sophistication were analyzed in Korean learners’ spoken production as an aspect of measuring lexical complexity. The lexical density and sophistication scores were obtained from 44 students’ spoken data whose language proficiency varied from intermediate (level 3 and 4) to advanced (level 5 and 6). Also, using one-way ANOVA, statistical analysis was conducted on the differences according to the proficiency of each level. As a result, the lexical density score showed little difference according to the proficiency level, however the difference was statistically not significant. However, in the case of lexical sophistication score, the scores of advanced students were higher the intermediate students. The level of lexical sophistication corresponded with the proficiency level increased, and the differences were statistically significant.
SOLUTIONS FOR DEVELOPING LEADERSHIP CAPACITY OF INFORMATION TECHNOLOGY APPLICATION IN TEACHING AT THE ETHNIC MINORITIES BOARDING LOWER SECONDARY SCHOOLS IN CENTRAL HIGHLAND AREAS

In recent years, the management staff at the ethnic minorities boarding lower secondary schools have made great efforts in leading the application of information technology in teaching. Subjects from basic subjects to specialized subjects use information technology (IT) to improve subject teaching effectiveness. Depending on the characteristics and characteristics of each subject, even each lesson, that is applied in accordance with the objectives and contents of the subject and the lesson. In general, the application of IT in teaching of ethnic minority boarding lower secondary schools teachers is shown in the following activities: Teachers use computers as text editing tools to prepare lesson plans , exam questions, tests, print documents, access the Internet to collect materials for teaching; Electronic lecture design; Organize teaching by electronic lectures in class. However, the effectiveness of IT application in teaching of ethnic minorities boarding lower secondary schools in the Central Highlands provinces is not high. Through an in-depth assessment of the current situation of leadership capacity development in IT application in teaching at ethnic minority boarding lower secondary schools, the authors of the article has proposed an effective solution system for leadership capacity development in IT application in teaching at ethnic minority boarding lower secondary schools in accordance with the human, material and financial conditions of the ethnic minorities boarding general education schools for lower secondary in Central Highlands region in the current period.
Expanding the World of PIDs: Conference Identifier and their Role in Managing Metadata Quality

14 slides.-- Presentation delivered within the session Identifiers in research information management
How the Design of a 3D Printer Bridged Engineering Design Processes and the Agile Software Manifesto

Abstract Individual engineering design projects face different challenges depending on their scale. Instead of dealing with problems of complex multidisciplinary systems, small scale design must overcome issues of limited resources. The philosophy of agile software development has been highly successful in addressing similar issues in the software engineering realm over the past two decades. Through the design and prototyping of a low-budget desktop stereolithography printer, the application of agile principles to engineering design process is explored. The printer’s design is discussed in detail to provide examples of successes and failures when these agile principles are put into practice. The paper concludes with a discussion of how agile principles could be leveraged in engineering design. The approach taken in this paper is more of a longitudinal study of a single design process over a twelve-month period as opposed to rigorous experiments that engage multiple users in short design scenarios. Nonetheless, this case study demonstrates how the application of agile principles can inform, improve, and complement traditional engineering design processes.
DeepProbLog: Neural Probabilistic Logic Programming.

We introduce DeepProbLog, a probabilistic logic programming language that incorporates deep learning by means of neural predicates. We show how existing inference and learning techniques can be adapted for the new language. Our experiments demonstrate that DeepProbLog supports (i) both symbolic and subsymbolic representations and inference, (ii) program induction, (iii) probabilistic (logic) programming, and (iv) (deep) learning from examples. To the best of our knowledge, this work is the first to propose a framework where general-purpose neural networks and expressive probabilistic-logical modeling and reasoning are integrated in a way that exploits the full expressiveness and strengths of both worlds and can be trained end-to-end based on examples.