Processing Infrastructure Research Articles

Study of the characteristics of pavement elements made of reinforced soil with the use of secondary resources

The importance of using secondary resources on the basis of industrial waste is understood by both governments of developed countries and business (production of Portland cement using ground metallurgical slag as a mineral additive at Novotroitsk, Magnitogorsk, Sterlitamak, KatavIvanovsk and other plants in the South Urals). The use of secondary raw materials requires the creation of technological infrastructure for processing of secondary raw materials, the costs of which can be quickly recouped due to the cheapness and availability of industrial secondary raw materials and freeing the territory from environmental pollution. In order to recoup the costs of the infrastructure, it is necessary to guarantee full compliance of the quality of pavement elements with the requirements of GOST R 59120-2021. Secondary raw materials have a great variety and laboratory analysis of the quality of pavement elements is required in order to design compositions with the best quality, satisfying all regulatory requirements. In our work the authors present the results of laboratory research and evaluation of the possibility of using clinker-free lime-slag binder based on the mineral product of soda production and metallurgical slags to strengthen and stabilize soils for their use in pavement structures in the construction of roads for various purposes and climatic zones. It is experimentally shown that the addition of lime-slag binder in the amount of 8-10% of the dry weight of both cohesive (loamy soil, loamy sand) and non-cohesive (fine sand) soil allows to obtain reinforced soil with improved strength and elastic-deformative characteristics, which can be used instead of scarce natural crushed stone and gravel in the construction of underlying layers of pavements in the construction and reconstruction of highways. This technology can be used not only in the Russian Federation, but also in a number of other countries, including those with hot dry climates (e.g., the Republic of Egypt).

Contribution of Process Standards, Content Standards and Infrastructure Standards Towards Graduate Competency Standards in SMA/SMK/SLB District of the Mentawai Islands

This research aims to describe the contribution of process standards, content standards and infrastructure standards to graduate competency standards in high schools/vocational schools/special schools in the Mentawai Islands district . This research is explanatory research because it wants to know the object in depth. The data collected in this study was arranged based on an ordinal scale. The population to be studied in this research is SMA/SMK/SLB, Mentawai Islands Regency, totaling 18 schools. The sampling technique used in this research was the total sampling technique . This research uses two variables that will be involved, namely: 1. Independent variables are variables that influence the dependent variable. The technique used to collect data. First is a questionnaire, collecting data from respondents/primary data sources by asking a list of questions. written/questionnaire. The research results show that 1) there is a contribution of Process Standards to Graduate Competency Standards; 2) there is a contribution of Content Standards to Graduate Competency Standards. 3) there is a contribution of Facilities and Infrastructure Standards to Graduate Competency Standards. 4) there is a contribution of Process Standards and Content Standards to Graduate Competency Standards. 5) there is a contribution of Process Standards and Infrastructure Standards to Graduate Competency Standards. 6) there is a contribution of Content Standards and Infrastructure Standards to Graduate Competency Standards. 7) there is a contribution of Process Standards, Content Standards and Infrastructure Standards together to Graduate Competency Standards. In conclusion, there is a contribution of process standards, content standards and infrastructure standards to the competency standards of graduates in high schools/vocational schools/special schools in the Mentawai Islands districtKeywords: process standards, content standards, infrastructure standards, and graduate competency standards

Improving Data Collection in Pregnancy Safety Studies: Towards Standardisation of Data Elements in Pregnancy Reports from Public and Private Partners, A Contribution from the ConcePTION Project.

The ConcePTION project aims to improve the way medication use during pregnancy is studied. This includes exploring the possibility of developing a distributed data processing and analysis infrastructure using a common data model that could form a foundational platform for future surveillance and research. A prerequisite would be that data from various data access providers (DAPs) can be harmonised according to an agreed set of standard rules concerning the structure and content of the data. To do so, a reference framework of core data elements (CDEs) recommended for primary data studies on drug safety during pregnancy was previously developed. The aim of this study was to assess the ability of several public and private DAPs using different primary data sources focusing on multiple sclerosis, as a pilot, to map their respective data variables and definitions with the CDE recommendations framework. Four pregnancy registries (Gilenya, Novartis; Aubagio, Sanofi; the Organization of Teratology Information Specialists [OTIS]; Aubagio, Sanofi; the Dutch Pregnancy Drug Register, Lareb), two enhanced pharmacovigilance programmes (Gilenya PRIM, Novartis; MAPLE-MS, Merck Healthcare KGaA) and four Teratology Information Services (UK TIS, Jerusalem TIS, Zerifin TIS, Swiss TIS) participated in the study. The ConcePTION primary data source CDE includes 51 items covering administrative functions, the description of pregnancy, maternal medical history, maternal illnesses arising in pregnancy, delivery details, and pregnancy and infant outcomes. For each variable in the CDE, the DAPs identified whether their variables were: identical to the one mentioned in the CDE; derived; similar but with a divergent definition; or not available. The majority of the DAP data variables were either directly taken (85%, n = 305/357, range 73-94% between DAPs) or derived by combining different variables (12%, n = 42/357, range 0-24% between DAPs) to conform to the CDE variables and definitions. For very few of the DAP variables, alignment with the CDE items was not possible, either because of divergent definitions (1%, n = 3/357, range 0-2% between DAPs) or because the variables were not available (2%, n = 7/357, range 0-4% between DAPs). Data access providers participating in this study presented a very high proportion of variables matching the CDE items, indicating that alignment of definitions and harmonisation of data analysis by different stakeholders to accelerate and strengthen pregnancy pharmacovigilance safety data analyses could be feasible.

What does the mid-1990s soybean liberalization tell us about the role of foreign investment in China’s rural industrialization?

This article reassesses the role of foreign investments in China’s rural industrialization in the 1980s and the early 1990s. It draws upon the power disputes between agribusiness transnational corporations (TNCs) and central domestic players in the country’s soybean complex. I follow Chris Bramall’s argument that food processing infrastructure grew progressively since the Maoist era in the 1960s and 1970s, instead of springing from foreign investments or pro-business local state officials during the reform and opening up. However, I go beyond this assumption by suggesting that foreign investments often had a detrimental role in rural industrialization, depending on their political action. I show through in-depth empirical analyses that due to the Maoist industrial legacy, soybean processors from Northeast China consolidated an endogenous form of accumulation based on local circuits of production and consumption under state protectionism. This specific industrialization trajectory has put them on opposite sides from agribusiness TNCs. The liberalization agenda pushed by the TNCs through bilateral and multilateral levels of influence culminated in the opening of China’s soybean imports in the late 1990s, allowing the consolidation of their global trade monopoly to the detriment of domestic players.

Enhancing data security of cardiac patients in IoMT with Twin-Shield Encryption

<p>Cardiac disease kills most people worldwide. Predicting and monitoring cardiac problems early improves disease treatment and patient outcomes. The Internet of Medical Things (IoMT) can monitor and analyze physiological data in real-time, changing healthcare. Many researchers find data generation problematic. Encryption is needed to secure a massive amount of data. This paper presents a Twin-Shield Encryption (TSE) that combines Elliptic Curve Cryptography (HECC) and Rivest-Shamir-Adleman (RSA) IoMT assistance for heart illness patient monitoring. Cleveland cardiac dataset from the University of California Irvine (UCI) research repository is collected. It has 12 qualities and 303 occurrences. The data is pre-processed using normalization; feature extracted using Principal Component Analysis (PCA), and securely transmitted to the cloud infrastructure for further processing and analysis. TSE encrypts patient data to prevent unauthorized access and maintain data integrity during transmission and storage. The framework could enhance cardiac ailment diagnosis, treatment, and management by giving clinicians and patients individualized care based on physiological profiles.</p>

Assessment of feasible site locations for biofuel production based on technoeconomic modelling and GHG impact analysis

Large scale bioenergy is expected to play an increasing role in the industry, heat and power production and transportation in the future. Both biomass availability and cost-effective mobilization are necessary to facilitate large bioenergy production sites. This study uses a Geographical Information System approach to map the economic and environmental feasibility of future biofuel production sites via Hydrothermal Liquefaction. The methodology includes process modelling, biomass and infrastructure mapping, technoeconomic analysis and greenhouse gas impact assessment and is implemented having Denmark as case study. Three supply-chains were evaluated for the upgrading of the biofuel which are chemical stabilizing, on-site hydrotreating, and centralised hydrotreating. The two feedstocks assessed were imported forestry and domestic agricultural residue resulting in a total of six different implementation scenarios. The results for the case study indicate that for forestry residue the proximity to an industrial port is the most dominating factor when determining feasible site locations. The performance in the agricultural residue scenarios is more impacted by infrastructure parameters. In the on-site hydrotreating scenario the best performing locations are found close to the hydrogen line to reduce connection expenses. For centralised hydrotreating the results favour being close to existing refineries to reduce intermediate transportation of the biocrude.

Konsep Kreatif Video Live Streaming Ilusman 3 Medan

This study aims to explore and analyze the application of creative concepts at the 33rd Ilusman 3 Medan reunion event in 2023. This research method involves a qualitative approach with a descriptive approach. This research also involves analysis of documentation and direct observation of the reunion event that has been carried out. The results showed that the application of creative concepts in the 33rd Ilusman 3 Medan event in 2023 contributed positively to the diversity and creativity of the event. A more memorable and satisfying experience, with more dynamic visual aspects, content presentation, and reunion atmosphere. The application of creative concepts also strengthens the emotional and nostalgic bond of participants to the alma mater or alumni group of SMA Negeri 3 Medan, which is fully supported by live streaming on Youtube and Zoom Meetings. Thus the interaction between participants becomes more in-depth and active participation in creative activities takes place. In addition, creative concepts poured both offline or on the stage and online or into live streaming also create a positive impact on the image and identity of the reunion organizers, creating an impression of professionalism and innovation towards the response of modern dynamics that lead to the development of digital technology. By utilizing creative elements. The creative elements implemented have gone through the stages of the design process and neat infrastructure design. Thus the reunion event can be more dynamic, relevant, and able to create a unique and memorable experience for the participants. The results showed that using creative aspects visually can create an evocative atmosphere during the event. In addition, the creative aspects applied in live streaming can certainly increase the attractiveness of an event.

An Inference Mechanism for Proactive Service Migration at the Edge

The coexistence of the Internet of Things and Edge Computing aims to offer a processing infrastructure close to end users that will improve the performance of applications and limit the latency in the provision of services. Services are adopted to assist in the execution of tasks imposed by the requests of end users/applications. The implementation of an effective framework for services management in the distributed edge nodes is necessary to achieve the aforementioned goals. The discussed framework ought to address the trade-off between overheads related to services migration/replication and data transmission. In this paper, we propose a proactive statistical model for allocating the available services upon the observed demand and supporting edge nodes to decide when and where it is necessary to migrate/replicate them. Our aim is to place services at locations where an increased demand is observed, however, under the uncertainty about the future evolution of the incoming requests. We elaborate on the evaluation of the proposed model and provide a comparative assessment with relevant schemes adopting real datasets. Our experimental validation demonstrates that our approach reinforces the heterogeneous engaged edge nodes to correctly infer the time instance and the location when/where services should be migrated/replicated to meet the dynamics of their demand. The interesting is that the proposed model achieves encouraging outcomes when it is adopted to cope with the mobility of users.

Study of the Implementation of Household Hazardous and Toxic Waste Management Policy in the Province of the Special Region of Yogyakarta

This study aims to analyze the application of hazardous and toxic waste management policies in the Special Province of Yogyakarta household sector. Waste management is still an emergency problem, especially in Yogyakarta. Garbage is a problem that has not been resolved until now. There is a category of hazardous waste because it can threaten the environment and humans, namely hazardous and toxic waste that contains hazardous materials that require special management. The research method used is qualitative research method using library data analysis. Through this approach, the research gathers information from various literature sources, policy documents, and the results of previous studies on managing hazardous and toxic waste in the household sector. The results of this study are the implementation of hazardous and toxic waste management policies in the household sector still needs to be entirely appropriately implemented in the Special Region of Yogyakarta. Indicate that although policies related to hazardous and toxic waste management exist, their implementation still faces several factors, such as the need for more public awareness about the types of hazardous and toxic waste in the household sector and the limited infrastructure for storage and processing are some factors that influence the implementation of this policy.

Sistem Informasi Alumni (Tracer Study) Berbasis Web Pada SMA Negeri 2 Bungo

The tracer study activity is one of the activities that has a very strategic value in school development. Tracer study serves to determine the potential of graduates in the community, evaluation facilities in the development of learning process facilities and infrastructure in the future, improve the quality of graduates who are able to master science and technology, and achieve graduates with qualifications that are in accordance with the needs of the labor market so that they can be absorbed by the workforce. maximum. The purpose of this research is to analyze, design and make prototypes related to tracer studies at SMA Negeri 2 Bungo. This research produces a prototype tracer study design for SMA Negeri 2 which contains information about alumni data, information, documents, reports, several other menus. In addition, this study also uses object-based system analysis modeling, namely Use Case Diagrams, Class Diagrams and Activity Diagrams.

Circular economy for aquatic food systems: insights from a multiscale phosphorus flow analysis in Norway

As wild-caught fish become scarce, feed ingredients for farming fish, such as salmon, are increasingly sourced from agricultural plants that depend on mineral fertilizers. Since these fish are naturally carnivorous, they have difficulty digesting the phosphorus in plant-based feed. So additional phosphorus supplements are added to the feed, resulting in a disproportionate increase in mineral phosphorus use and emission. Aquatic food production is increasingly relying on agriculture and mineral phosphorus resources. The feed surplus and the excreta are seldom collected and recycled, leading to a massive loss of nutrients to water bodies and the seafloor, resulting in local risk for eutrophication. Norway currently produces more than half of the world’s Atlantic salmon, and it is set to increase production from currently 1.5 to 5 Mt. in 2050. This has large implications for feed supply and emissions globally. There is a lack of studies that analyze the phosphorus system in aquatic food production at a sufficient spatial and temporal granularity to effectively inform interventions for a more circular use of phosphorus. Here, we present a multi-scale phosphorus flow analysis at monthly resolution ranging between 2005 and 2021 for aquatic food production in Norway and quantitatively discuss the effectiveness of alternative strategies for improving resource efficiency. The results indicate that P emissions from aquaculture have nearly doubled in the period between 2005 and 2021. The P use efficiency (PUE) in Norwegian aquaculture was 19% in 2021. The addition of phytase to the feed could improve the PUE by 8% by reducing P supplements and emissions by 7 kt/y. The use of Integrated Multi-Trophic Aquaculture close to fish farming sites could absorb emissions by 4 kt/y by creating new marine food products. Sludge collection systems could reduce P emissions by 4 to 11 kt/y, depending on the technology. Using the sludge in local agriculture would exacerbate the current P accumulation in soils close to the coastline, given that the animal density in this region is already high. Hence, a large and sophisticated processing infrastructure will be needed to create transportable, high-quality secondary fertilizers for effective sludge recycling in regions with a P deficit.

Network flow problem heuristic reduction using machine learning

Most of the supporting tools developed for logistic optimization and processing infrastructure planning are based on the network flow problem. The real-world application of these instruments can provide great insight and help to ensure long-term sustainability. The main limitation of these tools lies in great computing demand when there is the necessity of solving large-scale tasks in great detail. It means that the ability to find the optimal solution for real-world problems is limited. Thus, the detail of infrastructure is often reduced by data aggregation or heuristic approaches are used to find a suboptimal solution. This paper proposes a machine learning classification model to reduce the number of variables for an exact solution algorithm. First, the design of experiments is used to create a set of smaller problems that are possible to solve exactly. Artificial data are used at this stage, while domain knowledge is used to set appropriate distribution and parameters. Second, the classification model estimates the probability of the presence of each arc in the optimal solution. Features, which are related to costs and capacity, of each arc are utilized in the classification model. Models created on a subset of generated problems are then tested on the other problems. Finally, the proposed framework is applied to the waste management problem in the Czech Republic. The results of the verification show, that it is possible to remove 95% of arcs without impact on strategic decisions and without significant change of an objective function. The computing time of the reduced problem takes only 7% of the original task.

The Impact of Artificial Intelligence (AI) on Customer Relationship Management: A Qualitative Study

Ever since the commercialization of the Internet in the '90s, technology has been evolving faster than ever with the advent of cloud computing, social media, ubiquitous mobile devices, the Internet of Things (IoT), blockchain, and more. A staggering number of three billion internet users, five billion mobile users, and six billion devices are now connected through this massive global network of networks, facilitating customer information exchange and interaction never before seen in history. Driven by recent technological advances in computing power, big data, high-speed internet connection, and easier access to models built with advanced algorithms, Artificial Intelligence (AI) is the next wave of innovation, which has already come into widespread awareness in the consumer world with the emergence of virtual assistants and chatbots (e.g., Amazon's Alexa, Apple's Siri, Google's Assistant), image recognition (e.g., Facebook Photos, Google ImageNet), personalized recommendations (e.g., Netflix, Amazon) and autonomous driving (e.g., Tesla, Google Waymo). This qualitative research study intends to learn about the impact of AI on customer relationship management (CRM), specifically in the area of customer service of problem resolution. Most prior research focuses on the AI technologies leveraged in CRM systems, such as machine learning, natural language processing, voice recognition, chatbots, data analytics, and cloud infrastructure. Few extant studies have used a qualitative research methodology to gather data from industry experts to truly understand the impact of AI technologies on customer relationship management, especially in the area of customer service and problem resolution. This study aims to fill this research gap. This research contributes to the literature on AI in the context of CRM and is of value to both academics and practitioners as it provides a detailed analysis and documentation of the impact of AI on the customer service domain.

THE HIGHER EDUCATIONAL INFORMATION SYSTEM: MANAGEMENT OF THE TIMETABLE SCHEDULING AND LOGISTICS OF THE EDUCATIONAL PROCESS

In modern conditions, one of the important areas of development of a higher educational institution is the automation of educational activities through the implementation of a complex information system. In order to increase the effectiveness of simultaneous management of various aspects of educational activity, the information system should combine a wide range of functionality, including the timetable scheduling module. This paper is dealing with the one of the important issues of the most significant university administrative processes - timetable scheduling. This module should support working with big data and have the appropriate software and technical infrastructure, analytical tools, reporting units and error detection units. The article discusses some aspects of the timetable module. A description of the software and technical infrastructure of the business process of forming the university schedule is given.

THE IMPACT OF LOW-CARBON DEVELOPMENT ON MUNICIPAL UTILITIES (SYSTEMIC APPROACH)

Due to the growing awareness of climate change and the serious threats it poses to the planet, more and more attention is being paid to the transition to low-carbon development in all spheres of human activity. Municipal management is an important industry that directly affects the environmental condition of cities and towns, as well as energy consumption and greenhouse gas emissions. Despite various measures and initiatives to improve the state of public utilities, there are serious problems that make it difficult to effectively transition to low-carbon development. High levels of pollution: Utilities such as thermal power plants, waste treatment plants, and water supply systems continue to use large amounts of hydrocarbon fuels and technologies that result in significant emissions of greenhouse gases and other harmful substances. Also, many cities lack the necessary infrastructure and technologies for efficient waste collection and processing, efficient energy saving, and the use of renewable energy sources. Regarding the provision of adequate financing, most municipalities face limited financial resources, which makes it difficult to implement the latest environmental technologies and programs. Lack of community awareness and involvement is also an important factor. Many residents of cities and towns do not have sufficient awareness of the importance of low-carbon development and its positive impact on the environment, which makes it difficult to make environmentally-oriented decisions and implement changes in consumer behavior. In light of these problems, there is a need to create and implement complex strategies and measures to optimize the activities of the utility industry, aimed at increasing efficiency, reducing greenhouse gas emissions, developing renewable energy, modernizing infrastructure, and involving the public in active participation in environmental programs and projects. However, it should be taken into account that each city or village has its own characteristics and requirements, therefore the optimization of communal services should be carried out individually, taking into account the specifics of the local situation. Keywords: utilities, systems approach, low-carbon development, sustainable development, systems analysis.

Knowledge Management and its Role in the Development of a Smart University in Iraq

There is a lack of extensive research on the development of smart universities (SU). The aim of this paper is to investigate the impact of knowledge management (KM) on the development of SU (DSU) in Iraq. According to the knowledge-based view (KBV), resource-based view (RBV), and KM capability model, this study suggests that the KM process (KMP) and KM infrastructure (KMI) have a positive impact on SUs development. Furthermore, the study suggests that KMI functions as a mediator. The study was conducted using a sample of five public universities in Iraq. A purposive sampling method was utilised to collect data from a total of 209 academic staff members. The study's results demonstrate that KMP (knowledge acquisition, knowledge sharing, and knowledge application) and KMI (IT infrastructure and human KM) have a significant impact on the DSU. Additionally, it was discovered that KMI plays a role in mediating the influence of KMP on the DSU. The findings indicate that successful KM can support the progress of SU. Further cross-national and variable-based studies are required to enhance the validity of this conclusion.

Rethinking Antitrust for the Cloud Era

This article asks how antitrust can foster innovation by examining the development of infrastructure for data processing in the cloud. We contrast Amazon Web Services' centralized model with Google Cloud Platform's more decentralized, participatory ecosystem. We argue that rather than trying to reduce the power imbalance between platforms and independent database companies, antitrust should seek to channel platforms from the centralized model toward the decentralized ecosystem by (1) making partnership more attractive than mergers and (2) enlisting open-source foundations to help manage interoperability in the cloud. This requires breaking down the silos between competition, technology, and industrial policy.

Strategi Dinas Kelautan, Perikanan Dan Ketahanan Pangan Dalam Peningkatan Ekonomi Kelompok Pengolah Dan Pemasar (Poklahsar) Di Kabupaten Pangandaran

This research was started because there was a problem where the economic existence of the people who were members of the Fish Processing and Marketing Group (Poklahsar) in Pangandaran Regency was still not optimal. Their income is still fluctuating. There are many obstacles, especially raw materials and nature, which greatly affect the process of implementing the processing and marketing of these fish, considering that not all fish can be processed and marketed, only certain fish can be processed and marketed, and even that is constrained by the season. Thus, the purpose of this study is to determine the strategy of the Department of Maritime Affairs, Fisheries and Food Security in improving the economics of the Processing and Marketing Group (Poklahsar) in Pangandaran Regency, the obstacles and efforts it has made. The method used is descriptive qualitative. The results of the study concluded that the Department of Marine Affairs, Fisheries and Food Security implemented the main generic, main and functional strategies in improving the economics of the Processing and Marketing Group (Poklahsar) in Pangandaran Regency. The obstacles faced by the Office of Maritime Affairs, Fisheries and Food Security in implementing strategies to improve the economics of the Processing and Marketing Group (Poklahsar) in Pangandaran Regency are human resources, raw materials, funds and prices. Efforts made by the Office of Maritime Affairs, Fisheries and Food Security to overcome obstacles in implementing strategies for improving the economy of the Processing and Marketing Group (Poklahsar) in Pangandaran Regency are conducting training and developing HR competencies, providing injections of funds and assistance with processing infrastructure facilities to Poklahsar, and set prices. While the raw materials have not yet found its efforts.

Peat Substitution in Horticulture: Interviews with German Growing Media Producers on the Transformation of the Resource Base

Peat is the major constituent of horticultural growing media. Due to its high climate footprint, its extraction and use are controversial and the need to limit its use is widely recognised. The Peat Use Reduction Strategy of the German government aims to phase out its use and replace it with renewable materials. Despite large potential, stakeholders consider the availability of peat substitutes in sufficient quantity and quality as a critical issue. The goal of this research is to systematically investigate the challenges and opportunities for substituting peat in the resource base of the growing media industry. Based on deep-dive interviews with German growing media producers, the factors determining the supply and use of the main growing media constituents—peat, green compost, wood fibres, composted bark and coir products—were analysed. The results show the critical role of the processing infrastructure on transportation distances and the quality and quantity of the market supply. Additionally, competition with other sectors affects the availability of materials for the growing media industry. Moreover, peat is still economically advantageous compared with its substitutes. Even if this advantage declines due to consumer awareness and the end of domestic extraction, the end of peat use would probably imply new policy measures.

Mathematical modelling of waste flows and treatment based on reconstruction of historical data: Case of wastewater sludge in Czech Republic

The contribution of supporting tools developed for logistic optimization and processing infrastructure planning is highly dependent on the quality of input data. Databases containing reports on waste production and treatment are often used for waste management case studies and in the aggregated form at the national level provide sufficient information with negligible errors. On the other hand, analysis in greater detail at the smallest administrative unit usually reveals significant inconsistencies, especially in the case of mass balance control. This often results in the impossibility to track waste flows in the system and evaluate final treatment. This paper aims to present a tool for database verification in order to satisfy mass balances at all levels of the investigated system. As part of the mathematical modelling, the database is first subjected to a statistical analysis where selected inconsistencies between records can be removed. Subsequently, data reconciliation is applied with appropriate weights assigned to each entity in the system. The weights represent credibility and reflect various errors, which are identified in the previous stage of the approach. The correction of mass balances enables an evaluation of quality or composition in greater detail of individual entities and also determines the feasible interval of monitored properties. The tool is applied to the treatment evaluation of dry matter in wastewater sludge in the Czech Republic. Thanks to the developed tool, disposal and material or energy recovery can be quantified at micro-regional.