Pengembangan Cup Sealer Temulawak terintegrasi Augmented Reality untuk Meningkatkan Efektifitas Pengemasan Minuman

Potensi Unggulan Wilayah merupakan konsep perencanaan pemerintah yang digaungkan mulai tahun 2018 dengan menerapkan skema unggulan wilayah untuk meningkatkan kesejahteraan wilayah sebagai backbone  ekonomi nasional, selama kurun waktu 2018-2021 agaknya konsep ini belum sepenuhnya menyebar didesa pelosok nusantara, sebut saja sentra sari temulawak Kota batu, unit usaha susu kemasan di Desa Ngabab, Kabupaten Malang, unit usaha karangtaruna minuman bunga rosela di Desa pagerwojo, Kabupaten malang. Prioritas potensi unggulan yang terdapat di kota batu dan Kabupaten Malang, memiliki permasalahan dalam bidang produksi, pengemasan dan pemasaran, dengan sentuhan teknologi yang saat ini digunakan memungkinkan adanya pengembangan Cup Sealer terintegrasi Augmented Reality dalam membantu masyarakat untuk menggunakan Sealer minuman kemasan, dalam hal ini sari temulawak yang memilik potensi dikembangkan menjadi salah satu minuman yang dicari saat ini. Konsep pengembangan Augmented Reality Cup Sealer berdasarkan kebutuhan Usaha Mikro Kecil Menengah (UMKM) untuk mempermudah penggunaan Cup Sealer. Hasil dari penelitian membuktikan Pengembangan Cup Sealer Temulawak telah memenuhi kriteria kelayakan pengembangan produk ini berada pada tahapan yang baik, hal ini berkaca pada tingkat keterbacaan dan keefesienan produk berada pada tingkat 83,45% dari 140 responden, sehingga dapat disimpulakan bahwa produk ini sangat layak digunakan, data menurut Level of Eligibility Criteria (Sudjana, 1992) memiliki kriteria valid, hal ini berdasarkan persentase dari UI dan UX berada pada kategori 88,70% (kategori baik), kemudian aspect of product development functionaly pada kisaran 87,36% (kategori baik) dan machine feedback aspect with app juga memiliki kondisi pada kategori baik, yakni 87,40% dengan rata2 total 87,82% membuktikan bahwa pengembangan Cup Sealer temulawak terintegrasi Augmented Reality memilik tingkat usability dan efeciency baik dan dapat digunakan untuk membantu UMKM Sari Temulawak Kota Batu meningkatkan efektifitas pengemasan minuman

Edge Computing und Industrie 4.0. Anwendungsbereiche in der Schweizer Fertigungsindustrie

Durch die industrielle, digitale Transformation, insbesondere durch die Vernetzung von Fertigungsanlagen, wird zusehends eine sehr große Datenmenge in der Schweizer Fertigungsindustrie generiert. Viele Daten bleiben dabei lokal (oft) ungenutzt oder werden über weite Transportwege an zentrale Rechenzentren zur Analyse gesendet. Vor diesem Hintergrund stellt sich die Frage, wie Daten so genutzt werden können, dass lange Transportwege entfallen und zeitgleich, durch die Verarbeitung dieser Daten, Wissen generiert werden kann. Dieser Beitrag liefert erste Antworten auf der Basis von empirischen Erkenntnissen, welche durch Befragungen von Anbietern, Beratungsunternehmen und Fertigungsunternehmen im Bereich Edge Computing durchgeführt wurden. Dabei liefert die vorliegende Studie Erkenntnisse in den Bereichen technisches Verständnis, Geschäftsmodelle und Anwendungsszenarien sowie praktische Umsetzungen im Sinne von Pilotierungen und Rollouts als Proof of Concept

Applications of Mixed Reality for Smart Aviation Industry: Opportunities and Challenges

Nowadays, mixed reality has improved operational efficiency and enhanced passenger experience in the aviation industry. Integrated with advanced machine learning and artificial intelligence techniques, mixed reality can easily deal with tons of aviation data to support decision-making processes in this industry. The chapter presents the state-of-the-art applications of mixed reality in smart aviation industry. Opportunities and challenges of integrating mixed reality with advanced machine learning and artificial intelligence techniques into the aviation industry are introduced. This chapter focuses on how the integrated mixed reality can improve the quality and reliability of maintenance, operation, piloting, training, and product design in smart aerospace engineering. It also describes autonomous, self-service, and data visualization systems in smart airports to enhance passenger experience. Finally, this chapter discusses airline’s digital-based responses to the COVID-19 crisis

An Online Framework for Ephemeral Edge Computing in the Internet of Things

In the Internet of Things (IoT) environment, edge computing can be initiated at anytime and anywhere. However, in an IoT, edge computing sessions are often ephemeral, i.e., they last for a short period of time and can often be discontinued once the current application usage is completed or the edge devices leave the system due to factors such as mobility. Therefore, in this paper, the problem of ephemeral edge computing in an IoT is studied by considering scenarios in which edge computing operates within a limited time period. To this end, a novel online framework is proposed in which a source edge node offloads its computing tasks from sensors within an area to neighboring edge nodes for distributed task computing, within the limited period of time of an ephemeral edge computing system. The online nature of the framework allows the edge nodes to optimize their task allocation and decide on which neighbors to use for task processing, even when the tasks are revealed to the source edge node in an online manner, and the information on future task arrivals is unknown. The proposed framework essentially maximizes the number of computed tasks by jointly considering the communication and computation latency. To solve the problem, an online greedy algorithm is proposed and solved by using the primal-dual approach. Since the primal problem provides an upper bound of the original dual problem, the competitive ratio of the online approach is analytically derived as a function of the task sizes and the data rates of the edge nodes. Simulation results show that the proposed online algorithm can achieve a near-optimal task allocation with an optimality gap that is no higher than 7.1% compared to the offline, optimal solution with complete knowledge of all tasks

Health Care Equity Through Intelligent Edge Computing and Augmented Reality/Virtual Reality: A Systematic Review

Intellectual capital is a scarce resource in the healthcare industry. Making the most of this resource is the first step toward achieving a completely intelligent healthcare system. However, most existing centralized and deep learning-based systems are unable to adapt to the growing volume of global health records and face application issues. To balance the scarcity of healthcare resources, the emerging trend of IoMT (Internet of Medical Things) and edge computing will be very practical and cost-effective. A full examination of the transformational role of intelligent edge computing in the IoMT era to attain health care equity is offered in this research. Intelligent edge computing-aided distribution and collaborative information management is a possible approach for a long-term digital healthcare system. Furthermore, IEC (Intelligent Edge Computing) encourages digital health data to be processed only at the edge, minimizing the amount of information exchanged with central servers/the internet. This significantly increases the privacy of digital health data. Another critical component of a sustainable healthcare system is affordability in digital healthcare. Affordability in digital healthcare is another key component of a sustainable healthcare system. Despite its importance, it has received little attention due to its complexity. In isolated and rural areas where expensive equipment is unavailable, IEC with AR / VR, also known as edge device shadow, can play a significant role in the inexpensive data collection process. Healthcare equity becomes a reality by combining intelligent edge device shadows and edge computing

Machine learning and mixed reality for smart aviation: applications and challenges

The aviation industry is a dynamic and ever-evolving sector. As technology advances and becomes more sophisticated, the aviation industry must keep up with the changing trends. While some airlines have made investments in machine learning and mixed reality technologies, the vast majority of regional airlines continue to rely on inefficient strategies and lack digital applications. This paper investigates the state-of-the-art applications that integrate machine learning and mixed reality into the aviation industry. Smart aerospace engineering design, manufacturing, testing, and services are being explored to increase operator productivity. Autonomous systems, self-service systems, and data visualization systems are being researched to enhance passenger experience. This paper investigate safety, environmental, technological, cost, security, capacity, and regulatory challenges of smart aviation, as well as potential solutions to ensure future quality, reliability, and efficiency

Conceitos e métodos para apoio ao desenvolvimento e avaliação de colaboração remota utilizando realidade aumentada

Remote Collaboration using Augmented Reality (AR) shows great potential to establish a common ground in physically distributed scenarios where team-members need to achieve a shared goal. However, most research efforts in this field have been devoted to experiment with the enabling technology and propose methods to support its development. As the field evolves, evaluation and characterization of the collaborative process become an essential, but difficult endeavor, to better understand the contributions of AR. In this thesis, we conducted a critical analysis to identify the main limitations and opportunities of the field, while situating its maturity and proposing a roadmap of important research actions. Next, a human-centered design methodology was adopted, involving industrial partners to probe how AR could support their needs during remote maintenance. These outcomes were combined with literature methods into an AR-prototype and its evaluation was performed through a user study. From this, it became clear the necessity to perform a deep reflection in order to better understand the dimensions that influence and must/should be considered in Collaborative AR. Hence, a conceptual model and a humancentered taxonomy were proposed to foster systematization of perspectives. Based on the model proposed, an evaluation framework for contextualized data gathering and analysis was developed, allowing support the design and performance of distributed evaluations in a more informed and complete manner. To instantiate this vision, the CAPTURE toolkit was created, providing an additional perspective based on selected dimensions of collaboration and pre-defined measurements to obtain “in situ” data about them, which can be analyzed using an integrated visualization dashboard. The toolkit successfully supported evaluations of several team-members during tasks of remote maintenance mediated by AR. Thus, showing its versatility and potential in eliciting a comprehensive characterization of the added value of AR in real-life situations, establishing itself as a generalpurpose solution, potentially applicable to a wider range of collaborative scenarios.Colaboração Remota utilizando Realidade Aumentada (RA) apresenta um enorme potencial para estabelecer um entendimento comum em cenários onde membros de uma equipa fisicamente distribuídos precisam de atingir um objetivo comum. No entanto, a maioria dos esforços de investigação tem-se focado nos aspetos tecnológicos, em fazer experiências e propor métodos para apoiar seu desenvolvimento. À medida que a área evolui, a avaliação e caracterização do processo colaborativo tornam-se um esforço essencial, mas difícil, para compreender as contribuições da RA. Nesta dissertação, realizámos uma análise crítica para identificar as principais limitações e oportunidades da área, ao mesmo tempo em que situámos a sua maturidade e propomos um mapa com direções de investigação importantes. De seguida, foi adotada uma metodologia de Design Centrado no Humano, envolvendo parceiros industriais de forma a compreender como a RA poderia responder às suas necessidades em manutenção remota. Estes resultados foram combinados com métodos da literatura num protótipo de RA e a sua avaliação foi realizada com um caso de estudo. Ficou então clara a necessidade de realizar uma reflexão profunda para melhor compreender as dimensões que influenciam e devem ser consideradas na RA Colaborativa. Foram então propostos um modelo conceptual e uma taxonomia centrada no ser humano para promover a sistematização de perspetivas. Com base no modelo proposto, foi desenvolvido um framework de avaliação para recolha e análise de dados contextualizados, permitindo apoiar o desenho e a realização de avaliações distribuídas de forma mais informada e completa. Para instanciar esta visão, o CAPTURE toolkit foi criado, fornecendo uma perspetiva adicional com base em dimensões de colaboração e medidas predefinidas para obter dados in situ, que podem ser analisados utilizando o painel de visualização integrado. O toolkit permitiu avaliar com sucesso vários colaboradores durante a realização de tarefas de manutenção remota apoiada por RA, permitindo mostrar a sua versatilidade e potencial em obter uma caracterização abrangente do valor acrescentado da RA em situações da vida real. Sendo assim, estabelece-se como uma solução genérica, potencialmente aplicável a uma gama diversificada de cenários colaborativos.Programa Doutoral em Engenharia Informátic