Blekinge Institute of Technology
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Airease: Smart Exhaust Fan with Predictive Control
No full textThis thesis presents the design and implementation of a machine learning (ML)-based bathroom humidity control system aimed at energy efficiency and preventing mold growth with causes structural damage. Conventional bathroom ventilation systems rely on manual controls or fixed humidity thresholds, which often result in excessive energy use or insufficient ventilation. The developed system integrates an ESP32 microcontroller with temperature, water flow, and humidity sensors to monitor environmental conditions in real time. A lightweight ML model, trained using TinyML techniques, is deployed on the ESP32 to forecast short-term humidity levels based on live sensor data. Using the predicted humidity trends, the system proactively activates an exhaust fan via a relay module before humidity exceeds critical levels, thereby ensuring timely ventilation.Experimental evaluation demonstrates that the system effectively predicts humidity surges and responds with optimized fan control, offering a cost-efficient, scalable, and privacy-preserving solution for smart home ventilation
Comparison of cost efficiency among electricity distribution companies in Northern Europe : A panel data stochastic frontier approach
No full textElectricity distribution system operators (DSOs) in Denmark, Norway, Sweden, Finland, and Iceland, along with numerous other nations, operate as local natural monopolies. Regulatory bodies in each of these five countries are responsible for overseeing and regulating the local markets to offset this inherent market failure. Despite the many similarities in regulation between countries, cross-country studies on DSO performance are a rarity in the literature. This study addresses this gap by employing a panel data stochastic frontier analysis (SFA) to examine differences in cost efficiency levels between the aforementioned five countries. This includes the short-term adjustable time-varying efficiency, often called the managerial efficiency, endogenous to each DSO and the short-term unadjustable time-invariant efficiency, often called the organizational efficiency, exogenous to each DSO. The results of the analysis indicate vast differences in operational environments both within and between countries. When controlled for, efficiency distributions across countries mostly appear to be similar, indicating no significant difference in performance capabilities between DSOs across the countries examined
Drum design development
No full textDetta arbete handlar om att framställa en design av en kabeltrumma åt företaget NKT HV Cables AB. NKT är världsledande inom kabelindustrin och i Karlskrona ligger en av deras anläggningar vilken är en av världens största produktionsanläggningar av högspänningskablar. Vid tillverkning, lagring och leverans av kabel krävs det kabeltrummor. För stunden så tillverkas dessa i andra europeiska länder vilket leder till stora fraktkostnader och onödig påverkan på miljön. Målet med arbetet var därför att komma fram till en design på en trumma av modellen M45, vilket innebär att den har en diameter på 4,5 meter. Resultatet av detta ska användas som grund för att tillverka trummorna lokalt runt Karlskrona, utan behov att specialverktyg. Utöver detta ska trumman bland annat också klara en last på 30 ton och väga under 4,5 ton. Under projektets gång så uppkom ett flertal olika koncept och prototyper varav många rann ut i sanden eftersom de inte uppfyllde alla krav. När ett koncept som tillfredsställde alla krav skapats så testades dess hållfasthet i simuleringar under olika situationer och lastfall.This project focuses on designing a cable drum for the company NKT HV Cables AB. NKT is a world leader in the cable industry, and one of their facilities, located in Karlskrona, is among the largest high-voltage cable production plants in the world. The manufacturing, storage, and delivery of cables require cable drums. Currently, these are produced in other European countries, which results in high transportation costs and unnecessary environmental impact. The goal of the project was therefore to develop a design for a drum of the M45 model, which means it has a diameter of 4.5 meters. The result should be able to be manufacturable locally around Karlskrona without the need for specialized tools. Additionally, the drum must be able to carry a load of 30 tons and weigh less than 4.5 tons. During the course of the project, several different concepts and prototypes were developed, many of which were abandoned as they did not meet all the requirements. Once a concept that fulfilled all the requirements was created, its durability was tested through simulations under various scenarios and load cases
Att skapa rum för trygghet : Ett gestaltningsförslag med fokus på brottsförebyggande åtgärder
No full textDet här kandidatarbetet syftar till att undersöka hur principer från CPTED (Crime Prevention Through Environmental Design) kan användas för att förbättra den fysiska miljön i en nybyggd stadsdel, i detta fall Snurrom i Kalmar. Arbetet syftar även till att identifiera vilka delar av den fysiska miljön som i praktiken kan verka brottsförebyggande, speciellt i relation till narkotikarelaterade brott. Genom metoderna dokumentstudie och platsanalys erhålls information om trygghet inom fysisk planering, platsskapande, brottsförebyggande, CPTED samt Snurrom som plats. Fokus ligger särskilt på hur offentliga ytor kan förbättras ur ett trygghetsperspektiv. Detta genom stärkande av fysiska strukturer med brottsförebyggande åtgärder och planeringsåtgärder. Detta exemplifieras genom bearbetning av två cases som består av två offentliga ytor i Snurrom. Arbetet avslutas med en slutsats som lyfter fram hur CPTED-principerna kan användas som verktyg för att skapa tryggare och mer hållbara stadsdelar genom medveten fysisk planering
Towards Human-Like Behavior Generation by Applying Markov Chain Monte Carlo in Realization of Agential Realism
No full textAs the bridge between intelligence and action, decision-making reflects how humans adaptively interact with complex world. Thus, modeling decision-making process have become a key component for AI agents to handle dynamic environment. In our previous work, human decision-making process was modeled on a Decision Map, in which human decision strategies (in terms of individual or a group) are characterized by a decision distribution. In this paper, we apply the personal Decision Map with Markov Chain Monte Carlo (MCMC) algorithm to generate action sequences as a stochastic process. Based on the generated sequence, a Markovian transition matrix is estimated as a dynamic model for artificial agents to generate behaviors. The proposed method is inspired by the theory of agential realism, where the phenomenon of lightning is illustrated and manifested that its path is not fully random, but indeterminate caused by electromagnetic factors in the environment. In this sense, the generation of action sequence is considered as a lightning path, and different Markovian transition matrices can configure the dynamic indeterminacy for generating agent behaviors.
Relationsdimensioner i leverantörsrelationer : I kombination och under uppskalning
No full textIn business-to-business (B2B) markets, managing supplier relationships effectively is criticalfor reducing uncertainty and achieving operational efficiency. Relational dimensions –mechanisms such as contracts, information sharing, operational links, and mutual adaptations– are central to strengthening these relationships. While prior research has examined individualrelational dimensions, limited attention has been given to how combinations of the relationaldimensions are used to handle risk, particularly during scale-up phases. This study aims to identify uncertainties in supplier relationships and examine how differentrelational dimensions are combined to reduce risk and support effective scaling. It also exploreswhich relational dimensions become especially critical during scale-up processes. The research is based on a qualitative case study using semi-structured interviews with strategicpurchasers and suppliers. The theoretical framework is grounded in transaction cost economicsand the resource-based view, enabling deeper understanding of relational mechanisms insupplier strategies. Findings show that companies strategically use combinations of relational dimensionsdepending on relationship maturity, perceived risk, and the scale-up stage. Legal contractsdominate early-stage relationships, while information sharing and operational integration areemphasized in mature relationships during scaling. The strategic combination of relationaldimensions enhances trust, reduces uncertainty, and increases supply chain adaptability. Relational dimensions are not used in isolation but are dynamically combined to align withshifting business needs. A balanced and contextual use of governance and control mechanismsfosters more resilient, efficient, and scalable supplier relationships under certain conditions.Inom business-to-business (B2B) är effektiv hantering av leverantörsrelationer avgörande föratt minska osäkerhet och uppnå operationell effektivitet. Relationsdimensioner – mekanismersåsom kontrakt, informationsutbyte, operativa kopplingar och ömsesidiga anpassningar –spelar en central roll i att stärka dessa relationer. Trots tidigare forskning på enskildarelationsdimensioner, saknas kunskap om hur olika relationsdimensioner kombineras, särskiltvid uppskalning. Syftet med denna studie är att identifiera osäkerheter i leverantörsrelationer och analysera hurolika relationsdimensioner kombineras för att hantera risk samt stödja effektiv uppskalning. Studien undersöker även vilka relationsdimensioner som blir särskilt kritiska underuppskalningsfaser. Studien bygger på en kvalitativ fallstudie där semistrukturerade intervjuer genomförts medstrategiska inköpare och leverantörer. Det teoretiska ramverket utgår fråntransaktionskostnadsteori och det resursbaserade synsättet för att fördjupa förståelsen förrelationella mekanismer i leverantörsstrategier. Resultaten visar att företag strategiskt kombinerar olika relationsdimensioner beroende pårelationens mognadsgrad, risknivå och skede i uppskalningsprocessen. Juridiska kontrakt ärvanligast i tidiga relationer, medan informationsutbyte och operativ integration är centrala imogna relationer och vid uppskalning. Den strategiska användningen av relationsdimensionerstärker tillit, minskar osäkerhet och ökar anpassningsförmågan i leverantörskedjan. Relationsdimensioner används inte isolerat, utan kombineras dynamiskt utifrån verksamhetensbehov. En balanserad och kontextanpassad användning av relationsdimensioner bidrar till mermotståndskraftiga, effektiva och skalbara leverantörsrelationer under osäkra förhållanden
Recommendation System of Client-Requested Projects in the Swedish Consultancy Market with LLMs
No full textThis article presents the recommendation system of Personas, a microservice-based platform designed to assist Human Resources (HR) teams in streamlining the recommendation and presentation of candidates to clients based on posted project descriptions. Personas offers functionalities for recommendation, automatic generation of tailored curricula and motivation letters, and conversational support through client- and consultant-facing chatbots. At its core, the recommendation system suggests relevant projects posted by clients to each candidate on a daily basis. It leverages both structured and unstructured textual data, including web-scraped content, user-uploaded documents, curated profiles, and texts generated by Large Language Models (LLMs). All documents are embedded into a shared semantic vector space, enabling fast similarity computations and facilitating Retrieval-Augmented Generation (RAG) workflows. The recommendation pipeline consists of a two-stage process. First, lightweight pre-selection models apply filters and semantic similarity metrics to narrow down the pool of potential assignments. Then, in-depth analyses using LLMs provide refined compatibility assessments. Notably, the LLM-based evaluations serve not only to improve ranking precision, but also as high-quality proxy labels for evaluating and improving pre-selection models. This paper describes each stage of the pipeline-document collection, structuring, curation, pre-selection, and LLM-based analysis-and presents quantitative results demonstrating the system's effectiveness on a large-scale dataset
Quantum Computing in Industrial Internet of Things (IIoT) Forensics : Framework, Implications, Opportunities, and Future Directions
No full textThe continuous evolution of quantum computing has shown novel and transformative possibilities and critical implications for the Industrial Internet of Things (IIoT) forensic processes. With the potential to break traditional encryption algorithms and process diverse datasets at unprecedented speeds, quantum computing could disrupt current approaches to digital forensic evidence (DFE) collection, preservation, and hybrid quantum-classical data analysis methods across IIoT environments, an emerging topic in digital forensics. This paper proposes a generic quantum safe IIoT forensic (QS-IIoT-F) framework, explores the implications of quantum computing for IIoT forensics, mentions the opportunities of quantum computing in IIoT forensics, and future research directions. By addressing these issues, this paper aims to pave the way for future-proof IIoT forensic methodologies, ensuring the integrity, efficiency, and reliability of digital forensic investigations in IIoT in a quantum-powered era.This article is categorized under: Digital and Multimedia Science > Cyber Threat Intelligence Digital and Multimedia Science > IoT Forensics Digital and Multimedia Science > Cybercrime Investigatio
Hur personer med Humant immunbristvirus upplever mötet med sjuksköterskan : En allmän litteraturöversik
No full textBakgrund: Humant immunbristvirus (HIV) är en allmänfarlig, kronisk sjukdom som påverkar immunsystemet och kan leda till Acquired immunbristsyndrom (AIDS) om den inte behandlas. Tack vare antiretroviral behandling (ART) kan personer som lever med HIV idag ha en god livskvalitet och livslängd. Trots dessa medicinska framsteg kvarstår stigma, fördomar och okunskap, vilket påverkar hur personer med HIV upplever mötet med vården. Sjuksköterskan har en nyckelroll i att skapa trygghet och förtroende, men detta bemötande kan utmanas av faktorer som bristande kunskap, tidsbrist och organisatoriska hinder. Enligt Travelbees omvårdnadsteori är den mellanmänskliga relationen avgörande för att minska lidande och främja en meningsfull vårdupplevelse. Syfte: Syftet med denna litteraturöversikt var att belysa hur personer som lever med HIV upplever mötet med sjuksköterskan. Metod: Studien genomfördes som en allmän litteraturöversikt med induktiv ansats. Vetenskapliga artiklar med kvalitativ metod identifierades genom systematiska sökningar i databaserna Cumulative Index to Nursing and Allied Health Literature (CINAHL) samt PubMed (Publish MEDLINE). Artiklarna granskades med avseende på kvalitet, relevans och etiska överväganden innan analysen genomfördes enligt Fribergs (2017) modell för innehållsanalys. Resultat: Analysen resulterade i fyra teman: stöd vid diagnostisering, medmänsklighet och respekt, stigmatisering samt förtroende för vården. Flera personer beskrev att ett empatiskt och professionellt bemötande från sjuksköterskan underlättade hanteringen av diagnosen och stärker tilliten till vården. Samtidigt framkom negativa erfarenheter av diskriminering och stigma, vilket i vissa fall ledde till vårdundvikande och minskat psykiskt välbefinnande. Slutsats: Sjuksköterskans bemötande har en avgörande betydelse för hur personer med HIV upplever vården. Ett respektfullt, empatiskt och individanpassat bemötande kan motverka stigma, främja trygghet och stärka följsamheten till behandling. För att vården ska vara jämlik och personcentrerad behöver sjuksköterskan ha både professionell kunskap och förmåga till mellanmänsklig närvaro.
Shaping the Future of Metaverse Research : Innovation, Collaboration, and Journal of Metaverse's Academic Impact
No full textJournal of Metaverse has emerged as a global interdisciplinary platform in 2021 for research on the Metaverse, Virtual Reality, Augmented Reality, Artificial Intelligence, and Blockchain. In a short period, it has attracted contributions from internationally renowned scholars, further solidifying its academic influence. This article aims to critically examine the journal's trajectory, its publication output over a defined period, and its editorial commitments. We outline the journal's founding and developmental process, editorial policies, academic impact, and remarkable growth. Additionally, we reaffirm our dedication to advancing innovative research within the journal's scope while outlining future expectations and strategic directions. Furthermore, we highlight the success story behind the journal's high-impact publications and its recognition by prestigious indexing services such as Scopus, Web of Science, and DOAJ. The ongoing mission of the Journal of Metaverse is to shape the discourse on the technical and societal implications of the Metaverse and related technologies, enhance research visibility, and guide future innovations in this transformative field. Through this editorial, we seek to contribute to the broader scholarly conversation and share insights with publishers, fostering further collaboration and advancement in the field