Channel Capacity of Molecular Signaling via Diffusion in Confined Microenvironment

Aims: To model molecular signal propagation in confined environment. Background: Molecular communication (MC) is rooted in the concepts of understanding, modeling, and engineering information exchange among naturally and artificially synthesized nanosystems. To develop or analyze an MC system, there is the need to model the communication channel through which the molecular signal diffuse, from the transmitter to the receiver. Many models for the diffusion-based MC channel have been proposed in the literature for evaluating the performance of MC systems. Most of the contemporary works assume, and rightly so for some scenarios, that the MC channels under consideration have infinite boundaries. However, this assumption becomes invalid in bounded domains such as the interiors of natural cells and artificially synthesized nanosystems. Objective: In this paper, the model of molecular propagation in a confined. microenvironment is employ to explore the effect of such an environment on the MC system. Method: The mutual information of the channel and specifically the closed-form expression of the channel capacity of the molecular signaling in the confined geometry is derive. Result: Numerical results showing the variation in the channel capacity as the function of the channel dimension are presented. Conclusion: Results showed that the channel capacity increases with the decrease in the channel dimension. Subsequently, as the dimension of the channel tends to the nanoscale range typical of many artificially synthesized nanosystems, the effect of the channel width on the capacity and by induction on many other system metrics increases.

Preface

“Intelligent Information Technologies and Mathematical Modeling” is an international scientific and practical conference, the second in a series of annual conferences dedicated to the analysis of modern problems and achievements in the field of mathematical modeling and intelligent information technologies, including artificial intelligence, software engineering, information systems security and their application in various fields of science, technology and education. The main goal of the conference is to provide an opportunity to discuss modern achievements and prospects for the development of mathematical modeling, computational methods, intelligent information and software technologies that are essential for fundamental science and applied research in the field of: continuum mechanics, hydroaerodynamics, earth sciences, chemistry, biology, social and economic sciences, mechanical engineering and energy, materials science, nanotechnology, image processing and pattern recognition, theory of parallel computing and its applications, cybersecurity, large database technologies and artificial intelligence. The conference was held in Divnomorskoe, Krasnodar Territory, Russia on 30 May - 6 June, 2021. For foreign participants who couldn’t attend the conference due to the travel restrictions caused by the spread of the coronavirus infection, a teleconference was organized in one day of the conference week. Each participant had 10-15 minutes to present his research. After that, 5-7 minutes were allotted for questions and discussion. More than 1500 participants took part in the conference. During the conference, the technical equipment of the venue worked perfectly, no problems arose. Both the participants and the organizers of the conference were satisfied with the event. Presentation of information by the participants virtually did not cause any difficulties. In general, the experience of holding the conference partially in a virtual format was considered positive. List of Organizing Committee Chair and Co-Chairs, Scientific Committee Members are available in this pdf.

Preface

Dear colleagues I am glad to announce the release of the Efficient Waste Treatment conference proceedings (EWT-2021)! Despite the pandemic conditions, we managed to successfully hold an online (zoom) conference and discuss possible solutions for waste management in terms of energy, environmental and economic factors. A competent approach allowed us not to postpone the event, which took place on June 21, 2021. Conference model: Plenary session with keynotes (40 minutes for each keynote speech) + participants’ presentations (20 minutes for each presentation). There were two keynote speakers at the conference with extensive presentations: ✓ Svetlana Zueva, dr. eng., research scientists at the Department of Industrial Engineering, Information and Economy, University of L’Aquila (Italy). ✓ Natalia Politaeva, Doctor of Technical Sciences, Professor at the Graduate School of Hydraulic and Power Engineering Construction, Peter the Great St.Petersburg Polytechnic University (Russia). Topics discussed were: Waste treatment in various regions and countries; Economic issues of waste management; Municipal solid waste; Water treatment and sewage sludge utilization; Industrial, construction and medical wastes; Mathematical modeling of ecological processes; Sustainable mining and processing of minerals; Agriculture & farming; Adaptive landscape farming systems; Environmental and construction engineering; Ecotourism. Within the framework of the conference, a scientific committee worked, which included: Michael Butusov, Professor, The University of Natural Resources and Life Sciences, Vienna, Austria Aleksander Fedyukhin, Associate Professor, Moscow Power Engineering Institute, Moscow, Russia Christoph Pfeifer, Professor, The University of Natural Resources and Life Sciences, Vienna, Austria Natalia Politaeva, Professor, Peter the Great St.Petersburg Polytechnic University, St. Petersburg, Russia Kerstin Kuchta, Professor, Hamburg University of Technology, Germany Iryna Atamaniuk, Dipl.-Ing. Dr.techn., Hamburg University of Technology, Germany Rafat Al Afif, Senior Scientist and lecturer, University of Natural Resources and Life Sciences, Vienna, Austria Julia Smyatskaya, Associate Professor, Peter the Great St.Petersburg Polytechnic University, St. Petersburg, Russia Svetlana Zueva, dr. eng., research scientists, Department of Industrial Engineering, Information and Economy, University of L’Aquila, Italy Ida de Michelis, dr.eng., Department of Industrial Engineering, Information and Economy, University of L’Aquila, Italy The best articles of the conference participants, which passed the peer review, were accepted for publication. We have done a great job and would like to share with you the main results. We hope you find this article collection interesting and useful. Enjoy reading! Prof. Politaeva Natalia Chairman of the EWT scientific committee

REKAYASA SISTEM INFORMASI MANAJEMEN PANTI ASUHAN MUHAMMADIYAH SUMBAWA BERBASIS WEB

Muhammadiyah Orphanage is a social welfare institution that shapes the growth and development of children who do not have families or who do not live with their families. The data management system currently running at the Muhammadiyah Orphanage is still manual which is recorded in a ledger and microsoft office word. Data processing like this will certainly make it difficult for administrators to present reports because it takes a relatively long time so as to allow errors in data management. In addition, there is no complete information about the Muhammadiyah orphanage so that donors must come to the orphanage to get information. The purpose of this thesis research is the Web-Based Engineering Information System of Muhammadiyah Sumbawa Orphanage Management. This system successfully designed and built using programming language PHP, HTML, CSS, MySQL Database, Sublime-Text Text Editor, qualitative research methods and using the Waterfall software development method. The final result of this thesis is Muhammadiyah Orphanage Management Information System Sumbawa Web-Based that will make it easier for administrators to manage orphanage data and make it easier for donors to find information about Muhammadiyah orphanages.

STRUCTURAL E-PERMITS: AN OPENBIM, MODEL-BASED PROCEDURE FOR PERMIT APPLICATIONS PERTAINING TO STRUCTURAL ENGINEERING

This paper investigates the creation and use of integrated IFC models to modernise traditional processes for applications to building authorities for structural engineering approvals and permits. First, we provide a brief overview of e-permit systems in the AEC sector, with the focus on solutions that implement openBIM standards like IFC, MVD, and IDM. Second, we conduct a study on the information requirements of Italy’s seismic-authorisation processes relating specifically to the field of structural engineering. Third, we describe preliminary research on defining the structural engineering information that needs to be incorporated in the IFC format for e-permitting scopes. Fourth, we present our early work on the development of an MVD that would enable the automatic extraction of integrated IFC models. Fifth, we illustrate the reference workflow of the Str.E.Pe. project and propose a preliminary proof-of-concept that makes use of an IFC model, which has been integrated with structural information to support the activities of the building authority in Avellino. The officers there have developed a SWOT analysis using IFC models to assist them in assessing the compliance of structural projects with seismic requirements. Finally, the paper sets out additional research we intend to undertake and our conclusions.

Idea of Knowledge-Based Engineering using CAD Model

Manufacturing firms have been compelled to invest heavily in digitizing and optimizing their technical and manufacturing operations as a result of mass customization. When developing and introducing new goods, not only must manufacturing procedures be computerized, but also information of how the products must be developed and manufactured based on client needs must be applied. One major academic issue is to assist the industry in ensuring that stakeholders understand the background information of automated engineering all through the production process. The goal of the study described in this article is to provide a foundation for a connectivity perspective of Knowledge-Based Engineering (KBE). The use of graph theory in conjunction with content-based filtering methods is used to handle network creation and contextualization, which are fundamental ideas in connectivism. To enable a connectivity management culture, the article demonstrates how engineering information in spreadsheet, knowledge representation, and Computer Aided Design (CAD) models may be infiltrated and displayed as filtering graphs.

Management of the engineering data for manufacturing

Most companies have adopted the use of computer integrated engineering software to cope with the increasing competition and pressure to produce better quality and at a faster rate, enhancing their systems on this basis. Models are designed on computers, designs are validated in the software and tool paths for manufacturing are generated in different specific software. All engineering information is generated and stored in computers. This development enhances faster rate of works in companies; however, some problems such as the management of the data arise. All departments in a business work separately, but for the same purpose. It is required for each department to have access to related information. The existence of a system in which the information is checked and managed depending on their creation time, versions and the department is of importance. In this article, a system that allows not only the mechanical design department but also the manufacturing, storage, process planning, quality control, electrical design, purchasing departments, etc. to have access to the required information has been developed. In the absence of this kind of system, loss of time, scraps and loss of engineering time would be investigated. After starting up the system, its benefits are defined. Tracing the workflows for management purposes would be handled by the system. A 'Validation of Design' process is modelled for the company. The information can be accessible to only those responsible for the data, and not anyone else. This allows users to work in a better environment, hence, increases productivity.