Towards a Grounded Theory for a Development Process Model for Machine Learning Based Systems

The software industry has experienced the integration of artificial intelligence capabilities into applications, facing new challenges regarding software development. Despite research and industry contributions providing lessons learned and best practices, no study proposed a reference process for developing this type of software, and practitioners still struggle to establish a working process. Through a Grounded Theory study involving practitioners with experience in machine learning (ML) projects, this paper presents an emerging theory of how ML-based systems are developed. The reported results comprise key elements of a reference development process with its respective phases and activities.

PEMBUATAN VIDEO COMPANY PROFILE DAN PRODUK MULTIMEDIA UNTUK SOSIAL MEDIA RUMAH SAKIT HEWAN PENDIDIKAN (RSHP) IPB

ABSTRACTVarious interesting activities and facilities have been carried out at RSHP IPB, but these activities have not been packaged and disseminated attractively resulting in a lack of information received by the society. Companies can disseminate information moreinteresting and easy to understand to the target according to the goals to be achieved by implementing multimedia. Animal Hospital for Education of IPB uses video and motion graphic as a promotional forum to introduce RSHP IPB and expand the information the public will receive. The methods used in the manufacture of company profile video and multimedia product are briefing, idea construction, audiens target, device application determining, reference process, revision and publication.The result of this projects are a company profile video and multimedia product such as motion graphic.This products were shared at RSHP IPB’s Social Media.

Modelling the bioinformatics tertiary analysis research process

Background With the advancements of Next Generation Techniques, a tremendous amount of genomic information has been made available to be analyzed by means of computational methods. Bioinformatics Tertiary Analysis is a complex multidisciplinary process that represents the final step of the whole bioinformatics analysis pipeline. Despite the popularity of the subject, the Bioinformatics Tertiary Analysis process has not yet been specified in a systematic way. The lack of a reference model results into a plethora of technological tools that are designed mostly on the data and not on the human process involved in Tertiary Analysis, making such systems difficult to use and to integrate. Methods To address this problem, we propose a conceptual model that captures the salient characteristics of the research methods and human tasks involved in Bioinformatics Tertiary Analysis. The model is grounded on a user study that involved bioinformatics specialists for the elicitation of a hierarchical task tree representing the Tertiary Analysis process. The outcome was refined and validated using the results of a vast survey of the literature reporting examples of Bioinformatics Tertiary Analysis activities. Results The final hierarchical task tree was then converted into an ontological representation using an ontology standard formalism. The results of our research provides a reference process model for Tertiary Analysis that can be used both to analyze and to compare existing tools, or to design new tools. Conclusions To highlight the potential of our approach and to exemplify its concrete applications, we describe a new bioinformatics tool and how the proposed process model informed its design.

Laying a Foundation for Digital Collections at the Property Information Resource Center

ABSTRACT Over a decade ago, the Harvard University Property Information Resource Center (PIRC) began digitizing its entire collection of more than a hundred thousand architectural drawings documenting the construction of the oldest university in the United States. Challenges and successes materialized throughout the project relating to the PIRC's mission, service level, and collection dependencies. Continuing to meet users' demanding needs while learning and revising best practices was ambitious yet ultimately achievable. In addition to producing high-quality images for digital preservation, secondary positive outcomes of the project were the conservation of drawings, improvements to the reference process, and the ability to expand these services beyond the traditional user group. To achieve the project goals, staff created a flexible workflow that ameliorated the condition of physical drawings in the collection while allowing them to uphold an established user service level agreement.

Interpretation of the concepts of legal guarantees of voting rights of citizens of Ukraine and legal guarantees of the right of citizens of Ukraine to participate in all-Ukrainian and local referendums in the modern doctrine of constitutional law

In preparing the article, the author aimed to substantiate the author's concepts "legal guarantees of voting rights of citizens of Ukraine" and "legal guarantees of the right of citizens of Ukraine to participate in all-Ukrainian and local referendums." The modern doctrine of constitutional law reflects the judgments of legal scholars on such components of the constitutional and legal status of the man and the citizen as guarantees of human rights and freedoms, legal guarantees of human rights, guarantees of the all-Ukrainian referendum, guarantees of the reference process and the mechanism of democracy. Based on this, the following author's definitions of the studied concepts have been substantiated and formulated: 1) legal guarantees of citizens’ voting rights is a system of legal remedies defined in national legislation, which are used (or applied) by the actors of the election process, public authorities and their officials in connection with the exercise of their powers, as well as measures, which are used by them for the practical implementation by the citizens of Ukraine of their opportunities related to the formation of elected representative bodies of public authority, the granting or receipt of representative mandates; 2) legal guarantees of the right of citizens of Ukraine to participate in the all-Ukrainian and local referendum is a system of legal remedies defined in the national legislation, which are used (or applied) by the actors of the referendum process, public authorities and their officials in connection with their competencies, as well as the measures they take for the practical implementation by citizens of Ukraine of their opportunities related to initiating the matter of holding an all-Ukrainian or local referendum, formulating the content of a decision of national or local significance, and its approval as a result of national expression of will or expression of will of citizens of Ukraine living within the relevant administrative-territorial unit.

Toward Automated Support of Complaint Handling Processes: An Application in the Medical Technology Industry

Complaints about finished products are a major challenge for companies in the medical technology industry, where product quality is directly related to public health and therefore strictly regulated. In this paper, we examine how available data can be used to provide automated support to the complaint handling processes in the medical technology companies. We identify the automation potentials in the 8D reference process for complaint management and discuss their organizational and technical challenges. Using data from a large manufacturer of medical products, we show how partial process automation can be achieved in practice by designing, implementing, and evaluating a deep learning-based prototype for automatically suggesting a likely error code for future complaints, given their textual description. Our approach is able to assign the correct error code for more than 75% of all cases and outperforms the conventional classification approaches used as a baseline comparison. Our results show that partial automation of a complaint management process by means of deep learning can be achieved in practice.

Optimization and Scale-Up for Polymer Extrusion

A review paper is presented on optimization and scale-up for polymer extrusion, both single screw and twin screw extrusion. Optimization consists in obtaining a multidimensional space of process output variables (response surface) on the basis of an appropriate set of input data and searching for extreme values in this space. Scaling consists in changing the scale of the process according to specific criteria, that is, changing the process while maintaining the scaling parameters at a level that is as close to the reference process parameters as possible. It consists in minimizing the differences between the parameters characterizing the reference process and the resulting process. This may be obtained by using optimization techniques leading to the minimization of discrepancies between the parameters of scaled processes. In the paper, it was stated that optimization and scale-up based on process simulation are more effective than those based on experimentation which is time consuming and expensive. The state-of-the-art on extrusion process modeling which is the basis of optimization and scale-up has been presented. Various optimization techniques have been discussed, and the Genetic Algorithms have been identified as powerful and very efficient. Optimization and scale-up based on the process simulation using Genetic Algorithms have been broadly reviewed and discussed. It was concluded that, up to date, there is a lack of optimization studies on the counter-rotating twin screw extrusion, although the global models of this process are known. There is also a lack of process simulation-based scaling-up studies, both on the counter-rotating twin screw extrusion and on the starve fed single screw extrusion. Finally, development perspectives in this field have been discussed.

Comparing Exergy Analysis and Physical Optimum Method Regarding an Induction Furnace

In order to achieve energy and climate goals, energy and resource efficiency are considered a key measure. Limit-value-oriented methods such as the exergy analysis and the physical optimum method are used to show the limits of efficiency improvement. In this context, the physical optimum represents the theoretical ideal reference process. Despite their similarities, no comprehensive comparison to the exergy analysis has been carried out yet. Thus, the purpose of this study is to close this gap by examining differences and intersections using the example of an induction furnace. The minimum energy input according to the physical optimum method is 1327 MJ/t whereas the exergy of the melting product is 1393 MJ/t, depending on transit flows taken into account. The exergy analysis extends considerably beyond the physical optimum method in terms of the complexity and accuracy of the assessment of material flows by using exergy units. The exergy analysis makes clear which exergy is linked to the losses and thus reveals the potential for coupling processes. This results in different areas of application for the two methods.