An architectural framework for self-configuration and self-improvement at runtime

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To Adapt or Not to Adapt: A Quantification Technique for Measuring an Expected Degree of Self-Adaptation

Self-adaptation and self-organization (SASO) have been introduced to the management of technical systems as an attempt to improve robustness and administrability. In particular, both mechanisms adapt the system’s structure and behavior in response to dynamics of the environment and internal or external disturbances. By now, adaptivity has been considered to be fully desirable. This position paper argues that too much adaptation conflicts with goals such as stability and user acceptance. Consequently, a kind of situation-dependent degree of adaptation is desired, which defines the amount and severity of tolerated adaptations in certain situations. As a first step into this direction, this position paper presents a quantification approach for measuring the current adaptation behavior based on generative, probabilistic models. The behavior of this method is analyzed in terms of three application scenarios: urban traffic control, the swidden farming model, and data communication protocols. Furthermore, we define a research roadmap in terms of six challenges for an overall measurement framework for SASO systems

Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with Transformers

We propose a shift towards end-to-end learning in bird sound monitoring by combining self-supervised (SSL) and deep active learning (DAL). Leveraging transformer models, we aim to bypass traditional spectrogram conversions, enabling direct raw audio processing. ActiveBird2Vec is set to generate high-quality bird sound representations through SSL, potentially accelerating the assessment of environmental changes and decision-making processes for wind farms. Additionally, we seek to utilize the wide variety of bird vocalizations through DAL, reducing the reliance on extensively labeled datasets by human experts. We plan to curate a comprehensive set of tasks through Huggingface Datasets, enhancing future comparability and reproducibility of bioacoustic research. A comparative analysis between various transformer models will be conducted to evaluate their proficiency in bird sound recognition tasks. We aim to accelerate the progression of avian bioacoustic research and contribute to more effective conservation strategies.Comment: Accepted @AI4S ECAI2023. This is the author's version of the wor

Socially-Sensitive Systems Design:Exploring Social Potential

In human society, individuals have long voluntarily organized themselves in groups, which embody, provide and/or facilitate a range of different social concepts, such as governance, justice, or mutual aid. These social groups vary in form, size, and permanence, but in different ways provide benefits to their members. In turn, members of these groups use their understanding and awareness of group expectations to help determine their own actions, to the benefit of themselves, each other, and the health of the group

PENGARUH KUALITAS PRODUK DAN HARGA TERHADAP KEPUASAN KONSUMEN PADA PT. MARGA TIRTA KENCANA (Survei Pada Penghuni Perumahan Permata Buah Batu 1)

ABSTRAK Penelitian ini bertujuan untuk mengetahui pengaruh Kualitas Produk dan Harga terhadap Kepuasan Konsumen pada PT. Marga Tirta Kencana (Survei Pada Perumahan Permata Buah Batu 1 Bandung). Rumusan masalah dalam penelitian ini adalah bagaimana tanggapan konsumen mengenai kualitas produk yang ditawarkan, bagaimana tanggapan konsumen mengenai harga yang ditawarkan, bagaimana kepuasan konsumen, dan seberapa besar pengaruh kualitas produk dan harga terhadap kepuasan konsumen di PT. Marga Tirta Kencana Bandung secara simultan dan parsial. Metode yang digunakan penulis dalam penelitian ini adalah penelitian deskriptif dan verifikatif dengan tehnik pengumpulan data dengan interview (wawancara), kuesioner (angket) dan observasi (pengamatan). Adapun ukuran populasinya 619 orang dengan sampel 87 orang. Sedangkan tehnik sampling yang digunakan untuk menghitung besarnya ukuran sampel dalam non-probability sampling. Sesuai dengan perhitungan statistik, Kualitas Produk berada dalam kategori baik dan Harga berada dalam kategori baik terhadap Kepuasan Konsumen pada PT. Marga Tirta Kencana yang berada dalam kategori puas. Kata Kunci : Kualitas Produk, Harga, Kepuasan Konsume

On Learning in Collective Self-adaptive Systems: State of Practice and a 3D Framework

Collective self-adaptive systems (CSAS) are distributed and interconnected systems composed of multiple agents that can perform complex tasks such as environmental data collection, search and rescue operations, and discovery of natural resources. By providing individual agents with learning capabilities, CSAS can cope with challenges related to distributed sensing and decision-making and operate in uncertain environments. This unique characteristic of CSAS enables the collective to exhibit robust behaviour while achieving system-wide and agent-specific goals. Although learning has been explored in many CSAS applications, selecting suitable learning models and techniques remains a significant challenge that is heavily influenced by expert knowledge. We address this gap by performing a multifaceted analysis of existing CSAS with learning capabilities reported in the literature. Based on this analysis, we introduce a 3D framework that illustrates the learning aspects of CSAS considering the dimensions of autonomy, knowledge access, and behaviour, and facilitates the selection of learning techniques and models. Finally, using example applications from this analysis, we derive open challenges and highlight the need for research on collaborative, resilient and privacy-aware mechanisms for CSAS

Concepts for Resilient Traffic Management based on Organic Computing

This report aims at investigating forecast-based control of Organic Computing (OC) systems, especially the Organic Traffic Control (OTC) system. OTC is a self-organising traffic management system for urban road networks. Making forecasts of future system states can make complex technical systems more robust against failures. We present concepts for the creation of forecasts at runtime and how these forecasts can be integrated in OC systems and OTC, and discuss how this can lead to higher resilience