Reviewerly/exHarmony huggingface dataset:
Phase calibration of a basic bright-field microscope for 3D metrology of transparent samples at the nanoscale

Optical retrieval of the structure of transparent objects at the nano-scale requires adapted methods capable of probing their interaction with suitable light. Scattering events, for instance, depend on the content and the arrangement of the medium encountered by the light along its propagation path. Physical models of scattering were used in the past to understand image formation and phase retrieval in transparent objects. Here, we considered one of them, which is based on the acquisition of defocused images obtained with partially coherent illumination, and explored its phase retrieval capability over a wide range of illumination angles. We used a basic transmission bright-field microscope with a bandpass filter and an adjustable illumination aperture. The bandpass filter was used to select a specific wavelength range to avoid light dispersion in the sample and maximize illumination capabilities. The adjustable illumination aperture was used to probe and assess the calibration over a wide range of illumination angles, which give access to different parts of the spatial frequency spectrum of the sample. We subsequently employed a computational algorithm to retrieve the local 3-dimensional phase-shift induced on the light field by the scattering through the sample. We imaged several types of samples to explore the calibration and the results in different experimental configurations. We employed: (1) commercial dielectric nanospheres to assess the phase calibration when measured along the optical axis, (2) custom-made nanosteps micropatterned in a glass substrate to assess the phase calibration when measured along the transversal axis. We first verified the model prediction in the spatial frequency domain for the scattering induced by our samples, and subsequently obtained a consistent and linear phase-calibration for illumination numerical apertures ranging from 0.1 to 0.5. This enabled us to calibrate a very simple optical system in a wide range of illumination angles to obtain quantitative 3D metrology of transparent samples at the nanoscale.
Modified Self-adaptive Brain Storm Optimization Algorithm for Multimodal Optimization

Multimodal Optimization is one of the most challenging tasks for optimization, since many real-world problems may have multiple acceptable solutions. Different from single objective optimization problem, multimodal optimization needs to both find multiple optima/peaks at the same time, and maintain these found optima until the end of a run. A novel swarm intelligent method, Modified Self-adaptive Brain Storm Optimization (MSBSO) algorithm is proposed to solve multimodal optimization problems in this paper. In order to find potential multiple optima, a modified disruption strategy is used for BSO algorithms to maintain the identified optima until the end of the search. Besides, the self-adaptive cluster number control is applied to improve Max-fitness Clustering Method with no need for a predefined subpopulation size M. Eight multimodal benchmark functions are used to validate the performance and effectiveness. Compared with the other swarm intelligent algorithms reported in the literature, the new algorithm can outperform others on most of the test functions.
Research on Enterprise Application Integration Platform Based on SOA Architecture

Abstract Tobacco industry is a relatively early industry in China&amp;apos; information industry, so there are many problems, such as the lack of overall planning, the wide application system, but the low degree of integration of information resources, and the serious problem of “information island”. In order to solve how to establish an efficient and flexible way of information interaction within the enterprise, an enterprise application integration platform based on SOA architecture is proposed. The platform takes ESB as the core, transforms enterprise information integration into a new way conforming to SOA architecture, and establishes the idea of basic data management, so as to achieve the purpose of optimizing the overall information resources of the enterprise
Modeling Software Requirements

Enhancing requirements elicitation and specification extraction has always been of added value to software engineering, as it expedites the software development life cycle. In this context, the main challenge is to construct formal models that are capable of storing requirements from multimodal formats and can facilitate requirements reuse. In this chapter, we present an approach that captures the static and dynamic view of software projects and generates traceable system specifications. Our ontology-based approach can receive input in the form of functional requirements, UML use case and activity diagrams, and storyboards and allows for reasoning over the stored requirements for validation and reuse purposes.
Reinventing virtual machines

The notion of scalable operating systems led Mendel Rosenblum to virtual machines, which have revolutionized datacenters and enabled modern cloud computing.
PERKEMBANGAN DAN EKSISTENSI KOMUNITAS SASTRA DI KOTA MADIUN

Each city has its own literacy and literacy track record, as well as Madiun. Literature is a means to encourage people to think creatively creatively, therefore society needs to be brought closer to literature. This study aims to see the development and existence of the literary community in Madiun. This is also a manifestation of the contribution of researchers to the development of literary learning in Madiun. The method used by the researcher is qualitative descriptive. Data retrieval techniques are carried out by means of literature studies, interviews, and observations. The results of this study are the development of the literary community in Madiun and the existence of the literary community in Madiun.
Assessing the Reusability of Source Code Components

In the context of reusing components from online repositories, assessing the quality and specifically the reusability of source code before reusing it poses a major challenge for the research community. Although several quality assessment systems have been proposed, most of them do not focus on reusability. In this chapter, we design a reusability score using as ground truth information from GitHub stars and forks, which indicate the extent to which software components are adopted/preferred by developers. Our methodology includes applying different machine learning algorithms in order to produce reusability estimation models at both class and package levels. Finally, evaluating our methodology indicates that it can be effective for assessing reusability as perceived by developers.
Traffic incident detection based on the width characteristic of the moving object marker

Aiming at the current situation that the existing traffic event detection algorithm is complex and cumbersome, a traffic incident detection method based on the width characteristics of the moving object was proposed. Firstly, the foreground object is extracted by ViBe (visual background extractor) and the foreground target is subjected to hole removal and smoothing processing. Then, the moving target is marked with a label, the width change characteristic of the moving target mark frame is analysed and the traffic event detection model is introduced, thereby achieving detection of traffic events. The experimental results show that the method can effectively detect the rear-end event, the crossing event and the collision-fixing event in the traffic incident.
Riesz transform-based digital four-step phase-shifting interferometer

Phase-shifting interferometry is a highly accurate technique for obtaining phase distribution from the recorded fringe patterns. Generally, phase-shifting interferometry requires recording several fringe patterns with varying phase shifts experimentally and during the acquisition, the object must be stable. Also, the atmospheric turbulence and mechanical conditions should also remain constant during this time. These requirements limit the use of these phase-shifting interferometric techniques in dynamic event studies. In the present work, we introduce Riesz transformed based digital four-step phase-shifting interferometer to obtain phase distribution from a single recorded fringe pattern. All the experimental phase-shifting setups necessary to realize the phase-shifting are removed. The idea is based on the recording of a single fringe pattern, and computes its Riesz transform at first, second and third-orders. The obtained Riesz transform components are combined to generate three &pi;/2 phase-shifted fringe patterns, and then, the phase distribution is obtained from these phase-shifted fringe patterns. The performance of this method is demonstrated first by using numerical simulation and the quantitative appraisal is given by using image quality index. Further, we apply this technique on a real fringe pattern recorded in digital speckle pattern interferometry (DSPI). The obtained results reveal that our method provides a simple and accurate solution for phase evaluation, therefore, makes it suitable for real-time measurements.
Touchless interface interaction by hand tracking with a depth camera and a convolutional neural network

In operating rooms (OR), physicians have to work in strict compliance to asepsis rules to not endanger the health of patients. In the case of laparoscopic mini-invasive surgery, where the field of view of the surgeon is restricted, the use of computers is necessary to provide the missing information. Physicians must therefore interact with computers either by directly manipulating mouse and keyboard, by removing their gloves or by using a protection for the devices, or by voicecommanding an assistant to do so. However, in addition to be time-consuming, it may cause hygiene issues in the first case and a lack of precision in the second. The need to have better way of interactions with computers had led to important researches in that area during the last ten years, especially in Touchless Human Machine Interaction (THMI). Indeed, THMI, including gesture recognition, voice recognition and eye-tracking, has a promising future in the medical field, allowing surgeons to interact by themselves with devices, thereby avoiding error-prone process while complying to asepsis rules. In this context, the “Intelligent Touchless Glassless Human-Machine Interface” (ITG-HMI) project aims to provide a new tool for viewing and manipulating 3D objects. In this article, we present how this interface was implemented, through the detection and recognition of hand gestures using Deep Learning, the establishment of a graphical interface to display 3D models and the adaptation of gestures recognized in actions to achieve.
From a Belgian online image database to a European heritage science repository: the case of BALaT and HESCIDA (E-RIHS)

The Belgian Art Links and Tools (BALaT) (http://balat.kikirpa.be/) is the continuously expanding online documentary platform of the Royal Institute for Cultural Heritage (KIK-IRPA), Brussels (Belgium). BALaT contains over 750 000 images of KIK-IRPA’s unique collection of photo negatives on the cultural heritage of Belgium, but also the library catalogue, PDF’s of articles form KIK-IRPA’s Bulletin and other publications, an extensive persons and institutions authority list, and several specialized thematic websites. All these are interlinked to give the user easy access to freely available information on the Belgian cultural heritage. The last years KIK-IRPA has been working on a detailed and inclusive data management plan. Through this data management plan, a new project HESCIDA (Heritage Science Data Archive) will upgrade BALaT to BALaT+, enabling access to searchable registries of KIK-IRPA datasets and data interoperability. BALaT+ will be a building block of DIGILAB, one of the future pillars of the European Research Infrastructure for Heritage Science (E-RIHS), which will provide online access to scientific data concerning tangible heritage, following the FAIR-principles (Findable-Accessible-Interoperable-Reusable). It includes and enables access to searchable registries of specialized digital resources (datasets, reference collections, thesauri, ontologies, etc.); supports data interoperability through the creation of shared knowledge organization systems and provides tools to process them according to researchers’ needs and research questions. Such data will primarily consist out of measurement results and scientific information (texts, images, 3D models and more). Special attention will be given to the implementation of the IIIF protocol to enhance our research environment with not only access to KIK-IRPA’s high-resolution images of cultural heritage, but also making it possible to include images from other institutions that are IIIF compliant.
Assessment of an Interactive Digital Book at a Vocational School in Indonesia

Due to advancements in information technology, digital books (i.e., books published in digital form) are becoming increasingly used in the field of education, especially in Indonesia.Although previous studies have focused on the advantages of using digital books in educational activities, such as influencing users to read the materials more frequently and providing the flexibility to read the materials on compatible devices, some users only read certain sections, instead of the entire text.Therefore, the purpose of this study is to assess an interactive digital book (based on the ePub format) at a vocational school in Indonesia, with specific focus on its media aspects, presentation materials, and benefits.Based on the results of the descriptive and statistical analyses, the digital book effectively supported the students' vocational learning activities.Moreover, on average, 95% of the students agreed with the digital book's media aspects, 97% agreed with its presentation materials, and 99% agreed with its benefits.The implication of the findings is that digital books can be effective tools for acquiring information and teaching vocational skills.
Implementation of Fuzzy Multiple Criteria Decision Making for Recommendation Paddy Fertilizer

Fertilizers have an important role in increasing rice production. Rice plants need nutrients in sufficient quantities, the use of fertilizers in accordance with soil nutrient needs will get good plant growth and adequate yield, but the dosage of its use must be appropriate to reduce the impact on the environment. Determination of Dosage The use of fertilizer N, P, K in lowland rice is based on local location according to soil nutrient status and several other criteria. This study aims to develop simulation tools to recommend N, P, and K fertilizer doses for lowland rice in Indonesia. Modeling criteria for decision making with the Fuzzy MCDM and TOPSIS methods used to determine the chosen alternative solutions. Data testing results based on specific five locations showed accuracy of fertilizer recommendations with expert comparisons, resulting in a minimum accuracy of 75%, a maximum accuracy of 99.5% and an average accuracy of 80%. The application of the Fuzzy TOPSIS method shows that the system can provide alternative solutions based on the criteria used as the basis for determining fertilizer dosages for location-specific lowland rice.
Waste Management Information System based on Android

N’berkah waste management at Klahang Sokaraja is one of the garbage bank located in Purwokerto. The systemic in this garbage bank is the customer must deposit the waste and then the admin records it in each customer’s saving book. The waste bank service process itself still doesn’t use computer technology and still using reports for its information. That is why customers often lose their passbooks and these passbooks are sometimes broken, so the admin has to check and record back the numbers contained in the passbook. This condition causes data of the reports are not accurate. Which is why a Waste Management Information System is needed. The method used to build this information system is the prototype method. The steps of the prototype method are gathering requirements, designing, coding the system. Hopefully, with the waste management information system, customers can get better information about their contributions to waste management.
R Analysis of Incomplete Climate Data

This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples. Computational techniques are integrated to demonstrate how to visualize, analyze, and apply climate data, with R code featured in the book and both R and Python code available online. Exercises are provided at the end of each chapter with selected solutions available to students to aid self-study and further solutions provided online for instructors only. Additional online supplements to aid classroom teaching include datasets, images, and animations. Guidance is provided on how the book can support a variety of courses at different levels, making it a highly flexible text for undergraduate and graduate students, as well as researchers and professional climate scientists who need to refresh or modernize their quantitative skills.
BiSign: pairing-based anonymity in bitcoin cryptocurrency

Bitcoin as cryptocurrency cyber application records transactions on a Blockchain network but its anonymity is not fully explored. Users information and identity leakage vulnerabilities possibly exist due to Bitcoins public address system. This attracts privacy issues. Practical and compatible anonymity requirements for users are still not satisfactory despite several attempts provided in existing techniques. In this paper, we propose a privacypreservation scheme that ensures users carry out anonymous bitcoin transactions based on bilinear pairing, elliptic curve cryptography, and other cryptographic primitives. We theoretically analysed and evaluate our scheme which is proven secure to implement for preserving users privacy in bitcoin transactions. Simulation performed proved the correctness of our scheme and show average performance time of 6 μs and 11 μs respectively for 80-bits and 128-bits with PBC Type A pairing. Effectively, the analysis and evaluation suggest the proposed scheme as secure and robust to implement for preserving users privacy in bitcoin transactions.
Mining Software Requirements

Requirements identification is one of the most important phases in software engineering, as incomplete or badly specified requirements are the most common cause of project failure. In this chapter, we design a methodology to facilitate requirements identification based on software reuse. Our methodology employs our ontology-based model and is applied to functional requirements and UML diagrams. Concerning functional requirements, we apply association rule mining and heuristics to detect incomplete or missing requirements, while for UML use case and activity diagrams, we employ model matching techniques to find similar diagrams and thus allow the engineer to improve the description of the functionality and the data flow of the project.
A Case Study on the Application of PBLs in a College Writing Class for Foreign Students

The purpose of this paper is to develop PBL teaching model in a college writing classes for foreign students and to introduce examples of applying it to teaching. J University’s college writing class is the first basic general education class that foreign students experience after they enter the regular university program. They have to acquire writing theories without being proficient in Korean, and they have to submit a considerable amount of final writing pieces. collaborative learning with other foreign students who are in the same situation helps them learn self-directed while making up for their poor writing skills. When developing a PBL teaching model, instructors should take full account of students conditions and should design the lessons after sufficient preparation. Instructors focused on improving students language skills before PBL began, on improving students writing skills after the PBL began. From the individual reflection process, it was possible to confirm that they had performed team learning with their colleagues although the problem was somewhat difficult and that the PBLs were sufficiently helpful in improving the writing skills.
Identification of Comparison Key Elements and Their Relationships for Cloud Service Selection

Nowadays, the cloud computing industry is enjoying an exponential growth, where several cloud service providers compete to be one of the market leaders. Usually, providers offering similar services use different non-functional attributes to describe them. Thus, given the heterogeneity and diversity of services descriptions, the selection process of the appropriate cloud service becomes challenging. Architects no longer know what criteria to use to make the suitable cloud services selection. In this paper, we highlight the challenge of identifying key elements of comparisons and their relationship for selecting cloud services. Further, we propose a methodology to solve this issue based on real data available from service providers and benchmark work. Our methodology is validated based on two case studies of cloud relational databases and cloud queuing services.
Strategy formulation to increase the number of citations using concept mapping

This study aims to formulate Telkom University strategy to enter the QS world university ranking registration in 2017. The study concerns Scopus indexed number of citations as one of the QS World Ranking parameters. This study analyzes the strategies that have been taken to increase the number of citations. This study also explores information about the factors that may influence the increase of the number of citations which will serve as the basis in formulating alternative strategies to increase the number of citations. Data collection is conducted through unstructured and semi-structured interviews. Data processing is done employing Concept Mapping, using python based “Orange” data mining software. The finding reveals 4 strategy clusters where cluster 2, the most influential strategy cluster, includes the strategy to improve lecturer quality, and the quality of research content, expand academic networks, and publish in reputable publications. The study found that Concept Mapping technique is extremely useful to deal with this kind of strategic study.
Students implement the European Student Card

Student mobility is a shared goal of the member states of the European Union. One ingredient that makes student mobility possible is a universal student ID card that is accepted everywhere and can be coded with services at the institutions visited. The European Student Card (ESC) is such a universal ID card, standardized in Europe. A team of students from the Karlsruhe Institute of Technology developed the software for it. It works as follows: A student with an ESC simply walks up to a self-service kiosk, presents the card to a reader, and then selects the desired services, such as cafeteria, library, lab access, etc. In this interview, the development team will explain how they made this work smoothly, including the security considerations. This project is another example of how undergraduate students can build impressive software if given a challenge, the right tools, and some supervision.