Complex Information and Architecture

This chapter discusses the need for a systematic framework to categorise and store the large quantity of complex information required to determine competitive advantage. The length of time necessary to collect all the relevant and complex information creates an additional problem, which can only be alleviated by having an appropriate framework to guide the project. The assessment of information means that the context and accuracy of the information must also be stored. Creating an effective information system needs to be the focus of a special project, and the idea of an information system project will be explored as part of the methodology. The concepts of information architecture and business architecture to assist in the project's design will also be reviewed. Part of the information systems project will be the project planning document which will get more complex as the project develops; therefore, the planning document requirements will also be reviewed.

Blockchain Technology for Projects: A Multicriteria Decision Matrix

This research aims to develop a multicriteria decision matrix (MCDM) for project management practitioners, which will support blockchain type selection, evaluate blockchain platforms, and plan blockchain systems. The MCDM is substantiated through a case study, which includes a questionnaire and an illustrative example pertinent to the construction industry. It was discovered in this study that consortium blockchain is superior in dealing with the characteristics of projects, and Hyperledger Fabric is chosen as the best applicable platform. In planning a blockchain-based project management system, project management practitioners should consider user requirements such as network participants, principal transactions, communication channels, and smart contracts.

Remote and autonomous measurements of precipitation for the northwestern Ross Ice Shelf, Antarctica

The Antarctic Precipitation System project deployed and maintained four sites across the northwestern Ross Ice Shelf in Antarctica from November 2017 to November 2019. The goals for the project included the collection of in situ observations of precipitation in Antarctica spanning a duration of 2 years, an improvement in the understanding of precipitation events across the Ross Ice Shelf, and the ability to validate precipitation data from atmospheric numerical models. At each of the four sites the precipitation was measured with an OTT Pluvio2 precipitation gauge. Additionally, snow accumulation at the site was measured with a sonic ranging sensor and using GPS interferometric reflectivity. Supplemental observations of temperature, wind speed, particle count, particle size and speed, and images and video from a camera were collected to provide context to the precipitation measurements. The collected dataset represents some of the first year-round observations of precipitation in Antarctica at remote locations using an autonomous measurement system. The acquired observations have been quality-controlled and post-processed, and they are available for retrieval through the United States Antarctic Program Data Center (https://doi.org/10.15784/601441, Seefeldt, 2021).

Optimization of the Health and Safety Protocol for Covid-19 through the use of the QR Code in the Tailing Disposal System Project, Quellaveco - Moquegua, 2020

The purpose of this research work is to optimize the occupational health and safety protocol by increasing distancing and mitigating physical contact to prevent the spread of Covid-19, using QR catches to identify personnel. Contrasting the sanitary measures to protect the health and integrity of the personnel of the operations area of the Tailing Disposal System -Quellaveco project. For the study of the database, factor analysis is used as a multivalent statistical method, with this method the number of 997 daily reports was analyzed, addressing the study of the structure of correlations between a large number of variables, factor analysis assists in the selection of a representative subgroup of variables and creates new variables called factors, when performing the analysis and treatment of 24 variables with the SPSS 25 software, the variables with the correlation matrix were reduced to 13, and with the total variance explained, a matrix different from that of identity was defined, reducing the dimensionality of the problem from 13 to 5 factors.

The eventual model of the algorithm for designing the logistics system of a production enterprise

The logistics system is one of the most important subsystems of the production enterprise. This system is responsible for the timeliness and efficiency of logistics activities at the enterprise. Creating the logistics system for the company is based on solving a set of problems, where the development of an algorithm for its design is key one. The article proposes an eventual model of the algorithm for designing the logistics system of a production enterprise. The design algorithm was developed taking into account the activities of oil and fat industry enterprises. Structurally, the algorithm consists of three phases - the formation of an information array for the design of the logistics system, the design of the logistics system, the installation of the logistics system project at the enterprise. The optimal number of stages was substantiated for each design phase. According to the design stages, a list of works that must be performed in the process of project development and installation was described. Information on the time spent on each job at the stages of design and installation of the logistics system was provided. It is indicated that the development and installation of a logistics system at a manufacturing plant can take three to four months. The obtained research results are important for the top management of enterprises. They will allow to be guided in productivity of process of designing and installation of logistic systems. In the future, this will provide an opportunity to correctly draw up a logistics plan and adjust the development strategy of the enterprise. The material presented in the article is useful for researchers in terms of further consideration of improving existing or developing new algorithms and techniques for designing logistics systems of industrial enterprises.

Audible acoustics from low-magnitude fluid-induced earthquakes in Finland

Earthquakes are frequently accompanied by public reports of audible low-frequency noises. In 2018, public reports of booms or thunder-like noises were linked to induced earthquakes during an Engineered Geothermal System project in the Helsinki Metropolitan area. In response, two microphone arrays were deployed to record and study these acoustic signals while stimulation at the drill site continued. During the 11 day deployment, we find 39 earthquakes accompanied by possible atmospheric acoustic signals. Moment magnitudes of these events ranged from $$-0.07$$ - 0.07 to 1.87 with located depths of 4.8–6.5 km. Analysis of the largest event revealed a broadband frequency content, including in the audible range, and high apparent velocities across the arrays. We conclude that the audible noises were generated by local ground reverberation during the arrival of seismic body waves. The inclusion of acoustic monitoring at future geothermal development projects will be beneficial for studying seismic-to-acoustic coupling during sequences of induced earthquakes.

DISSEMINATING AN AUTOMATED IRRIGATION SYSTEM USING SOLAR ENERGY IN PERSPECTIVE OF BANGLADESH

Bangladesh is mainly an agricultural country. Agriculture is the most important occupation for the most of the Bangladeshi families. This study is conducted to develop an automated irrigation mechanism which turns the pumping motor ON and OFF by detecting the moisture content of the earth using the soil moisture sensor without the intervention of human. This Smart irrigation system project is using an Arduino Uno micro-controller, Solar Panel, Battery, Boost module, Relay Module, Soil Moisture Sensor, DC Motor etc. Arduino Uno that is programmed to collect the input signal according to moisture content of the soil and its output is given to the op-amp that will operate the pump. The benefit of employing this technique is to decrease human interference and it is quite feasible and affordable.