Industrial Problems Research Articles

Spoofing Against Spoofing: Toward Caller ID Verification in Heterogeneous Telecommunication Systems

Caller ID spoofing is a global industry problem and often acts as a critical enabler for telephone fraud. To address this problem, the Federal Communications Commission has mandated telecom providers in the U.S. to implement STIR/SHAKEN, an industry-driven solution based on digital signatures. STIR/SHAKEN relies on a public key infrastructure (PKI) to manage digital certificates, but scaling up this PKI for the global telecom industry is extremely difficult, if not impossible. Furthermore, it only works with IP-based systems (e.g., SIP), leaving the traditional non-IP systems (e.g., SS7) unprotected. So far the alternatives to the STIR/SHAKEN have not been sufficiently studied. In this article, we propose a PKI-free solution, called Caller ID Verification (CIV). CIV authenticates the caller ID based on a challenge-response process instead of digital signatures, hence requiring no PKI. It supports both IP and non-IP systems. Perhaps counter-intuitively, we show that number spoofing can be leveraged, in conjunction with Dual-tone Multi-frequency, to efficiently implement the challenge-response process, i.e., using spoofing to fight against spoofing. We implement CIV for Voice over Internet Protocol, cellular, and landline phones across heterogeneous networks (SS7/SIP) by only updating the software on the user’s phone. This is the first caller ID authentication solution with working prototypes for all three types of telephone systems in the current telecom architecture. Finally, we show how the implementation of CIV can be optimized by integrating it into telecom clouds as a service, which users may subscribe to.

Обзор современных требований к сварке трубных высокопрочных низколегированных сталей

For many years, proven arc welding processes have been used to weld large pipes of oil and gas pipelines, the scope of which extends from manual arc welding with stick electrodes to the use of metal orbital welding machines. Introduction reflects that the creation of new steel compositions for oil and gas pipelines is an urgent task to ensure its high reliability. Research Methods. Low-carbon steels with ferrite-perlite structure are usually used in pipe production, but these steels are unable to meet the increased market demands. New grades of steel with bainitic structure are appearing. Results. The failure of welded joints of pipelines made of high-quality steel is becoming a serious problem for the pipeline industry. Discussion. This paper analyzes the characteristics of weld microstructure and its relationship with impact toughness. The prediction of impact toughness based on the microstructural characteristics of weld-seam metals is complicated due to a large number of parameters involved. The common practice linking this property to the microstructure of the last roll of a multi-pass weld turned out to be unsatisfactory because the amount of needle ferrite, the most desirable component, may not always be the main factor affecting the impact toughness. The present review reports on the most representative study regarding the microstructural factor in the welded seam of pipe steels. It includes a summary of the most important process variables, material properties, normative rule, as well as microstructure characteristics and mechanical properties of the joints. Conclusion. It is intended that this review will help readers with different backgrounds, from non-specialist welders or material scientists to specialists in various industrial applications and researchers.

ШЛЯХИ ІНТЕГРАЦІЇ ЛЬОТНОЇ ПРИДАТНОСТІ В СТРУКТУРУ УПРАВЛІННЯ БЕЗПЕКОЮ ПОЛЬОТІВ ЦИВІЛЬНИХ ПОВІТРЯНИХ СУДЕН

Based on the analysis of the legal framework in force inUkraine, the fact of creating conditions for resolving most problems in the aviation industry is stated. It has been established that the effectiveness of their solution directly determines the state of affairs in the field of ensuring flight safety, therefore, the improvement of the current system for maintaining the airworthiness of Ukrainian aircraft is a priority for all participants in the aviation market. The actual level of flight safety in operation is determined by the functioning and interaction of the elements of the aviation transport system, is laid down during the development, certification, production and is implemented during the operation of aircraft. Therefore, this task can be successfully solved only at the state level. The state lays down the legal regulatory framework in the field of aviation, creates a system for managing the safety of civil aircraft flights, determines the authorities and rules for control and supervision, investigation of aviation accidents and incidents. Flight safety is defined as the state in which the risks associated with aviation activities related to the operation of aircraft or directly supporting such operation are reduced to an acceptable level and controlled. Ensuring flight safety requires certain management decisions, such as the inclusion of the necessary units in the structure of the airline, training and training of personnel, maintaining the airworthiness of aircraft, monitoring and analyzing the state of flight safety, etc. Decision-making in the context of safety actions is a compromise between the desire to achieve a certain result in obtaining a useful product, taking into account savings and ensuring the safety of the airline. The introduction of the concept of an acceptable (acceptable) level of risk reflects the goals and expected results of the oversight authority in the civil aviation industry, the operator or other performer in the flight support system, which must be achieved in the field of safety. An important factor in ensuring the high efficiency of modern aircraft airworthiness systems is the availability of such important elements as airworthiness monitoring systems and programs for monitoring the level of aviation equipment reliability. The connection between the process of assessing and monitoring the reliability of aviation equipment and the processes of flight safety management has been established. It is shown that by improving such elements of the aircraft airworthiness maintenance system as: the airworthiness monitoring system and the program for monitoring the level of reliability of aviation equipment, we solve a number of problems and obtain additional information about the reliability of aviation equipment, which plays an important role in the implementation of management processes. flight safety.

Prospects for the Use of Metal Surfaces Modified by Nanosecond Laser Radiation for Energy Applications

Laser technologies for processing metals used as heat exchange surfaces are unrivaled to solve a number of problems in the energy industry. This is explained by the fact that after laser radiation treatment, metal surfaces gain unique surface functional properties (extreme wettability properties, high resistance to corrosion in contact with traditional coolants, high abrasive and cavitation resistance). The study of the processes of evaporation, boiling, and condensation on such surfaces is hampered by one of the unsolved problems, which is the lack of the ability to predict the configuration of microtextures, for example, in the form of micropillars and microchannels with predetermined sizes. In this work, a graphic–analytical technique based on the use of ablation spot sizes for the formation of a given configuration and microtexture dimensions on traditional structural materials of heat exchange surfaces is developed. Based on experimental data, regime maps were constructed for the formation of microtextures on the surfaces of aluminum alloy AlMg6 and steel AISI 310. The prospects for using metal surfaces with a given microtexture formed by laser radiation to intensify the phase transition of coolants and control convective flows in a droplet lying on a heated surface were assessed. The obtained results can be used in the development of spray (drip) irrigation systems to provide thermal protection for heat-stressed equipment.

Optimizing the counter service based on linear programming and queue theory

With the progress of the social economy, the pace of people's life and work is accelerating, and queuing has gradually become a key factor affecting the service level and quality of enterprises. Although the queuing problem has been gradually optimized, there are still some problems such as queue congestion and confusion, inadequate work of staff, and low efficiency. It can be seen that effective measures have been taken to properly solve the queuing problem in China's service industry and other industries. This paper is aimed at using the method that combined linear programming with queue theory to develop 3 steps to optimize the manpower scheduling problem for a real-world situation. A case study of the local government service counter is provided. After applying our model to the case problem, we have achieved three goals: to reduce the number of staff to a more accurate state. Our research finds that there exist some real problems with the service like their service rate is a bit low and needs to improve. In addition, this model has application value for a wide range of other fields, such as banks, post offices and other scenarios.

Work-Related Musculoskeletal Disorder an Increasing Concern in Garment Industry


 Background: Musculoskeletal Disorders (MSDs)-related occupational health concerns are becoming a growing problem for the clothing industry, which is influenced by the repetitive tasks, prolonged static postures and poor ergonomic conditions that characterise the nature of work in this industry. This study aims to provide a thorough assessment of the numerous musculoskeletal problems that are prevalent in the garment industry and to recommend useful intervention strategies to mitigate their consequences. Methods: One hundred thirty textile workers aged between 25 to 45 years were taken randomly from five different textile manufacturing sites of Baranagar, West Bengal. A modified Nordic musculoskeletal questionnaire was applied to evaluate the postural stress of the garment’s workers. The discomfort/pain intensity in different body parts were evaluated by Body Part Discomfort (BPD) scale . Appropriate statistical tests were applied. Results: Discomfort or pain in hip and lower back were found to be maximum among workers. Conclusion: Pain, discomfort and postural stress among various body parts like upper back, lower back and hip are verry much common for the workers. Despite efforts to deal with these problems, more thorough research and efficient intervention strategies are required to reduce musculoskeletal ailments in the garment industry..

Using Level-Based Multiple Reasoning in a Web-Based Intelligent System for the Diagnosis of Farmed Fish Diseases

Farmed fish disease diagnosis is an important problem in the fish farming industry, affecting quality of production and financial losses. In this paper, we present a web-based intelligent system that tackles the problem of fish disease diagnosis. To this end, it uses multiple knowledge representation and reasoning methods: rule-based, case-based, weight-based, and voting. Knowledge, which concerns the diagnosis of sea bass diseases, was acquired from experts in the field and represented in the form of decision trees. The diagnostic process is performed in two stages: a general one and a specialized one. In the general stage, a level-based diagnosis is performed, where environmental parameters, external signs, and internal signs are successively examined, and the three most probable diseases are identified. In the specialized stage, which is optional, a specialized expert system is used for each of the resulting diseases, where additional parameters concerning laboratory tests (microbiological, microscopic, molecular, and chemical) are considered. The general stage is the most useful, given that it can be performed on-site in real-time, whereas the specialized one requires time-consuming lab tests. The system also provides explanations for its decisions. Evaluation of the general-stage diagnostic process showed a top-3 accuracy of 78.79% on expert test cases and 94% on an artificial dataset.

Exploration of the effects of electrolytic manganese residue on the environmental, economic, and engineering performance of magnesium oxychloride cement: A possible utilization method of electrolytic manganese residue

The widespread use of magnesium oxychloride cement (MOC) can effectively solve the waste problem in the potash industry. However, its poor water resistance limits its practical application. Electrolytic Manganese Residue (EMR), as a solid waste from manganese metal smelting, requires an effective utilization method. In this work, we have attempted to incorporate EMR into MOC after its treatment in order to improve the water resistance of MOC and increase the utilization rate of EMR. The addition of EMR to MOC increased the density of MOC. The incorporation of EMR did not significantly reduce the strength of the MOC samples. The incorporation of EMR reduced the relative content of magnesium oxide in the specimens and EMR can be used as a source of soluble Al, Si and Fe to produce insoluble amorphous gels. The combined effect resulted in an effective improvement in the water resistance of the samples. The 28-day water immersion strength of the EMR100 can reach 38.3 MPa, and its water resistance coefficient was 82.10%. The appropriate doping of EMR can improve the pore structure of the specimens, reduce the porosity and refine the pore size distribution. Carbon emission per unit compressive strength and cost per unit compressive strength were used as evaluation indices of environmental and economic benefits. A high dosage of EMR-incorporated MOC resulted in low cost and carbon emission, especially the strength of the specimen after water immersion as a strength index. Taking into account the strength after 14 days of air curing and 28 days of water immersion, the advantages of cost per unit compressive strength and carbon emission per unit compressive strength of EMR100 were further extended and reduced by 86.23% and 22.15% respectively compared to the benchmark group. The heavy metal curing of EMR was evaluated by ion leaching test, and the result showed that MOC effectively cured the heavy metal ions in EMR and reduced the environmental risk of EMR. The good performance of EMR in MOC systems not only provides an effective breakthrough for the efficient utilization of EMR and its heavy metal curing, but also effectively improves the performance of MOC and reduces the production cost.

Mind the gap: gender, micro-inequities and barriers in software development

Gender diversity and equity are known problems in the software industry. However, relatively few studies has examined the everyday work experiences and barriers that software professionals in technical roles encounter through a gender perspective. In this work, we investigate micro-inequities (e.g., interruptions, lack of eye contact, being assigned menial tasks in a project) and barriers experienced by software professionals working in technical roles with a gender perspective. We also analyzed age as a confounding factor. In our study, we surveyed 359 software professionals (50:50, women:men ratio) from globally distributed locations. Our results show that women and respondents in certain age groups encounter micro-inequities significantly more than men and other age groups. Further, women experience and witness sexism and harassment in the workplace in significantly higher numbers. We also found that women report having significantly less support and authority to make necessary decisions in their work, are less satisfied with their pay, and feel less valued and recognized in their teams. Finally, we found that the main barriers reported by women are related to team dynamics and gender biases, while men report most on technical and project related issues. Our results can serve to create awareness in the community about the large disparity and help practitioners revise their training programs and internal policies.

Sustainable utilization of the vegetable oil manufacturing waste product in the formulation of eco-friendly emulsifiable cutting fluids

The conventional Metal cutting fluids (MCFs) used are mineral-based petroleum oils that perform well but are toxic and difficult to dispose of; therefore, these are hazardous to human health as well as the environment. This issue can be solved by using natural vegetable oil-based MCF, which are readily available, environment and human-friendly, and renewable. Therefore, we synthesized various types of emulsifiers (anionic, and nonionic with different ethylene oxide units as well as mono and gemini cationic surfactants as corrosion inhibitors and biocides) based on recycled vegetable oil (RO) from spent bleaching earth (SBE), and elucidated their chemical structures by different spectroscopic techniques. The individually synthesized emulsifiers (anionic, and nonionic with different ethylene oxide units) at different ratios (8–15 by wt.%) and mixed emulsifiers (anionic/nonionic, nonionic/nonionic with different degrees of ethylene oxide) at different ratios (8–12 by wt.%) were utilized as additives in the preparation of different vegetable residual oil-based MCF formulations. The mixed emulsifiers at different ratios of nonionic/nonionic with hydrophilic-lipophilic balance (HLB) value 10 (Formulas I, II, III, and IV), and anionic/nonionic (Formula V, and VI) exhibited stable emulsions compared to individual emulsifiers. Formulas (I and VI) displayed good protection effectiveness in corrosion tests. Formula VI had better wettability (25.22 on CS, 23.68 on Al, and 22.28 on WC) and a smaller particle size (63.97 nm). Tribological properties of Formula VI were also performed. The results exhibit that Formula VI is consistent with the commercial sample. As a result, this study contributed to the resolution of one of the industry's problems

Electromagnetism-like mechanism algorithm for hybrid flow-shop scheduling problems

<span>Given the interest and complexity, of the hybrid flow shops (HFS) problem in industry, he has been extensively considered, the HFS, is a complex combinatorial problem supported in many original world applications. We consider a hybrid flow shop FH4(P3, P2)||C<sub>max</sub> to applied in this paper. In this papers we attempt to optimize the makespan which refers to the last task completion time by an adequate meta-heuristic algorithm based on electromagnetism mechanism (EM). We also present analysis on the performance of the EM-algorithm adapted to HFS scheduling problems. The electromagnetism-like mechanism method gave us efficient and fair results comparing to particle swarm and genetic algorithm.</span>

Novel and efficient implementation of multi-level fast multipole indirect BEM for industrial Helmholtz problems

Fast multipole boundary element methods (FMBEM) have been successfully applied to solve ultra-large acoustic problems. In practice, there are still a large number of industrial applications where model sizes are well below a million Degrees of freedom. Thus, it is of practical importance to further improve the solver’s efficiency for such applications. This paper presents a novel formulation of the multi-level fast multipole indirect BEM, which relies on redesigning a conventional FMBEM with considerations from several aspects. A new flexible partition algorithm is proposed to generate a flexible and efficient multi-level structure for fast multipole calculations, which also allows the explicit calculation of the far field contributions. A hybrid and efficient regularization approach for hypersingular integral is investigated and implemented, which significantly reduces the iterative solving time. The use of efficient sparse approximate inverse preconditioners is key for fast convergence. Two strategies for constructing the sparsity pattern are implemented and evaluated. Numerical results show that by bringing the aforementioned techniques all together in one package, the new flexible multi-level fast multipole indirect BEM (f-FMBEM) provides significant improvements on actual simulation time over the conventional BEM and FMBEM solvers for industrial size problems (with a non-dimensional Helmholtz number up to kA∼323) on a modern workstation. To efficiently address larger problems, a more efficient multipole translation should be considered.

The application of heterogeneous graph neural network and deep reinforcement learning in hybrid flow shop scheduling problem

The hybrid flow shop scheduling problem (HFSP) is a fundamental optimization problem in the process industries. HFSP needs to consider both job selection and machine allocation. The existing HFSP solution methods represented by deep reinforcement learning (DRL) are challenging to extract complex state features and lack certain adaptability in dealing with large-scale HFSP. To solve HFSP with a large scale and relatively strong flexibility, we propose an end-to-end DRL architecture based on the heterogeneous graph neural network to learn an optimal scheduling policy. First of all, by adding a set of machine nodes, the disjunctive graph of the traditional flexible scheduling problem is extended and transformed into a heterogeneous graph, which intuitively represents the allocation relationship between operations and machines, and it is regarded as the scheduling state at different times; secondly, a new HFSP heterogeneous graph neural network (HGNN) algorithm is established to embed potential relationships between different types of nodes and edges, and an embedding of the entire graph is generated; finally, we use the graph-level representation vectors of heterogeneous graphs as input to the proximal policy optimization (PPO) algorithm for learning the optimal scheduling policy. The experimental results show that compared with several well-known heuristic algorithms, the scheduling policy obtained by the architecture through learning can have good generalization performance in simple and complex problems, respectively, and has a relatively high solution efficiency.

The Development and Problems of the Live Broadcasting Industry under the Impact of COVID-19

Faced with the convenience of the internet, people begin to rely more on the broad internet and the leisure it brings, allows people to transcend the limitations of time and space, experience and share exciting cultural, sports, artistic and other activities from around the world together. Network broadcasting has blossomed in recent years, from the earlier game broadcast, singing, and dancing to recent years where every event no matter how big or small has the chance to be broadcasted. Following the sudden outbreak of COVID-19, live streaming has been integrated into almost every persons lives. With the increasing popularization of an online lifestyle, live broadcasting has gradually integrated into everyones life. Through research and analysis, this paper aims to probe into the impacts and problems of the live-streaming industry, exploring its development since the pandemic and analyzing its main competitors and its future.

Fraud detection through data sharing using privacy‐preserving record linkage, digital signature (EdDSA), and the MinHash technique: Detect fraud using privacy preserving record links

AbstractFraud is a persistent and increasing problem in the telecom industry. Telcos work in isolation to prevent fraud. Sharing information is critical for detecting and preventing fraud. The primary constraint on sharing information is privacy preservation. Several techniques have been developed to share data while preserving privacy using privacy‐preserving record linkage (PPRL). Most of the PPRL techniques use a similarity measure like Jacquard similarity on homologous datasets, which are all prone to graph‐based attacks, rendering existing methods insecure. Many complex and slow techniques use the Bloom filter implementation, which can be compromised in a cryptanalysis attack. This paper proposes an attack‐proof PPRL method using existing infrastructure of a telco without a complex multistep protocol. First, a novel way of matching two non‐homologous datasets using attack‐proof digital signature schemes, like the Edwards‐curve digital signature algorithm is proposed. Here, Jaccard similarity can only be estimated using this method and not on the datasets directly. Second, two parties transact with a simple request–reply method. To validate the match accuracy, privacy preservation, and performance of this approach, it was tested on a large public dataset (North Carolina Voter Database). This method is secure against attacks and achieves 100% match accuracy with improved performance.

Detection of lung pathology using the fractal method

<span lang="EN-US">Currently, the detection of pathology of lung cavities and their digitalization is one of the urgent problems of the healthcare industry in Kazakhstan. In this paper, the method of fractal analysis was considered to solve the task set. Diagnosis of lung pathology based on fractal analysis is an actively developing area of medical research. Conducted experiments on a set of clinical data confirm the effectiveness of the proposed methodology. The results obtained show that fractal analysis can be a useful tool for early detection of lung pathologies. It allows you to detect even minor changes in the structure and texture of lung tissues, which may not be obvious during visual analysis. The article deals with images of pathology of the pulmonary cavity, taken from an open data source. Based on the analysis of fractal objects, they were pre-assembled. Software algorithms for the operation of the information system for screening diagnostics have been developed. Based on the information contained in the fractal image of the lungs, mathematical models have been developed to create a diagnostic rule. A reference set of information features has been created that allows you to create algorithms for diagnosing the lungs: healthy and with pathologies of tuberculosis. </span>

Strategi Bertahan Hidup Industri Rokok Kecil Terhadap Kenaikan Cukai (Studi Kasus Rokok Ilegal di Kabupaten Probolinggo)

This study examines the survival strategy of small cigarette industries against excise tax increases (a case study of illegal cigarettes in Probolinggo District). Departing from the phenomenon of cigarettes being excisable goods in order to reduce the prevalence of smokers, it has become a problem for small cigarette industries because the increase in excise tax takes into account the ability of small cigarette industries in Probolinggo Regency. The formulation of the research problem is how the survival strategy for small cigarette industries continues to produce and what are the factors that make small industries continue to produce amid an increase in excise taxes. This research was conducted in Sidomulyo Village with a research period of 2022–2023 using James C. Scott's survival strategy theory with a qualitative approach and the case study method. The results of this study show that small cigarette industries carry out survival strategies by using used excise, not paying excise taxes, producing clandestinely, and owning other assets or businesses. The driving factors for the small cigarette industry to survive are high income; the inhibiting factors are intensive control and sanctions by the local government and the pandemic. The conclusion of the research is that the only small cigarette industry that can survive is a small cigarette industry that has the spirit to maintain the cigarette industry as a "family heritage”.

Surrogate-Assisted Differential Evolution With Adaptive Multisubspace Search for Large-Scale Expensive Optimization

Real-world industrial engineering optimization problems often have a large number of decision variables. Most existing large-scale evolutionary algorithms need a large number of function evaluations to achieve high-quality solutions. However, the function evaluations can be computationally intensive for many of these problems, particularly, which makes large-scale expensive optimization challenging. To address this challenge, surrogate-assisted evolutionary algorithms based on the divide-and-conquer strategy have been proposed and shown to be promising. Following this line of research, we propose a surrogate-assisted differential evolution algorithm with adaptive multi-subspace search for large-scale expensive optimization to take full advantage of the population and the surrogate mechanism. The proposed algorithm constructs multi-subspace based on principal component analysis and random decision variable selection, and searches adaptively in the constructed subspaces with three search strategies. The experimental results on a set of large-scale expensive test problems have demonstrated its superiority over three state-of-the-art algorithms on the optimization problems with up to 1000 decision variables.

Penerapan Terapi Menghardik Halusinasi Terhadap Pasien Eks Psikotik dalam Rehabilitasi Sosial

Along with the rapid development, modernization and industrialization efforts, social changes and problems are growing. So that people who are unable to make adjustments, can experience mental turmoil, mental disorders and even mental disorders called psychotics. Therefore, this study aims to describe the application of hallucinatory rebuke therapy in the rehabilitation process of ex-psychotic patients at the Dosarso Shelter House, Kebumen. This research method uses a type of qualitative research with a case study approach. This study had 4 subjects, namely 2 ex-psychotic patients who were still experiencing hallucinations, 1 nurse and 1 administrator who worked at the Dosaraso Shelter in Kebumen. The results of this research show that rebuke therapy at the Dosaraso Shelter Home in Kebumen is carried out in groups and individually. The social rehabilitation service model provided by Dosaraso includes the Institutional Based Rehabilitation (IBR) service model. Then the type of psychotic experienced by TS patients is schizophrenic functional psychotic with auditory and visual hallucinations, while patient D is paranoid functional psychotic with auditory hallucinations. This rebuke therapy is carried out through several stages, namely starting from preparing the place, explaining the therapy, agreeing to the therapy, time contract, implementation, and finally asking the patient's feelings. This research can also help counselors in carrying out therapeutic steps for ex-psychotic patients so that it is very helpful in overcoming social problems in society.

History of Tribology in Finland 1881 – 2023 and the Finnish Society for Tribology 1977 - 2023

The field of Tribology defined as the “science and technology of interacting surfaces in relative motion, that is friction, lubrication and wear” was introduced to the scientific community in a UK governmental report 1966. UK experts and scientists introduced this new approach to solve industrial problems in engineering design, material technology and lubricant chemistry to Finnish colleagues in the late 1970s. The foundation of the Finnish Society for Tribology 1977 boosted academic and technological activities in the area. Tribology as a topic was introduced in the Finnish universities. Investments were made in collaborative research activities with universities, research centers and industry involved. The international collaboration expanded and the Finnish tribologists initiated and started the 1st NORDTRIB regional tribology conference series in Tampere 1984 and hosted the worldwide 5th EUROTRIB International Tribology Congress in Helsinki 1989. The Finnish Journal of Tribology was established 1982. Large joint research activities were generated especially with the Nordic and European countries, Soviet Union and China. Internationally recognized top research groups were initiated and flourished in Tampere and Helsinki on the topics of abrasive, slurry-erosion and fretting wear; engineering ceramics; thin coating tribology; biotribology; computational modelling in tribology; and calculations on global economic and environmental impact of tribology. This article is modified from the report which the Finnish Society for Tribology contributed to the project “History of Science in Finland” by The Federation of the Finnish Learned Societies (Tieteellisten Seurain Valtuuskunta, TSV).