Hasil Pencarian  ::  Simpan CSV :: Kembali

"instance point cloud memungkinkan untuk melakukan segmentasi bentuk dari instance 3D yang berbeda pada kelas semantik yang sama. Penerapan segmentasi 3D pada pemodelan 3D area perkotaan dapat merangsang perkembangan lebih lanjut untuk menganalisis pemodelan 3D area perkotaan. Segmentasi instance 3D point cloud perkotaan memiliki tantangan tersendiri, sebagai contoh ukuran skala besar dan bentuk instance yang lebih beragam, dibandingkan 3D point cloud di dalam ruang. Penelitian ini mengajukan optimasi dari segmentasi instance 3D point cloud pada daerah perkotaan skala besar dengan optimasi metode pencacahan menggunakan metode pencacahan overlapping dan modifikasi bagian backbone Hierarchical Aggregation 3D Instance Segmentation (HAIS) dengan 3D U-Net Attention ASPP Sparse CNN (metode proposed). Eksperimen dan evaluasi dilakukan terhadap HAIS dan metode proposed. Berdasarkan hasil eksperimen, didapati penggunaan metode pencacahan ukuran 50 overlapping dan modifikasi backbone HAIS dengan 3D U-Net Attention ASPP Sparse CNN (dengan hasil evaluasi AP = 48.78, AP50 = 60.45 dan AP25 = 65.33) memiliki tren kenaikan performa lebih baik dibandingkan dengan metode baseline (dengan hasil evaluasi AP = 44.83, AP50 = 56.48 dan AP25 = 62.36).

---

Instance segmentation of 3D point cloud is possible to perform the segmentation of 3D object shape and to differentiate instances on similar semantic class. Urban Area's large-scale 3D point cloud instance segmentation has its own challenges, namely large-scale instance forms and is more diverse, compared to indoor 3D point clouds. This study proposed optimization of 3D point cloud instance segmentation in largescale urban areas by enhancing the patching method by using overlapping method and modifying the HAIS backbone section with 3D U-Net Attention ASPP Sparse CNN (the proposed method). The experiments and evaluations will be carried out on HAIS model with baseline method from STPLS3D and our proposed method. Based on our experimental results, was found by using patching method 50 size overlapping and modification of the HAIS backbone with 3D U-Net Attention ASPP Sparse CNN (evaluation results of AP = 48.78, AP50 = 60.45 and AP25 = 65.33) has trend to increase the performance of HAIS method which is better than the baseline method (evaluation results AP = 44.83, AP50 = 56.48 and AP25."

"The LNCS journal Transactions on large-scale data- and knowledge-centered systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the seventh issue of transactions on large-scale data- and knowledge-centered systems, contains five revised selected regular papers on the following topics: data management, data streams, service-oriented computing, abstract algebraic frameworks, RDF and ontologies, and conceptual model frameworks."

"This book contains extended and revised versions of the best papers presented at the 19th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2011, held in Hong Kong, China, in October 2011. The 10 papers included in the book were carefully reviewed and selected from the 45 full papers and 16 special session papers presented at the conference. The papers cover a wide range of topics in VLSI technology and advanced research. They address the current trend toward increasing chip integration and technology process advancements bringing about stimulating new challenges both at the physical and system-design levels, as well as in the test of theses systems."

"Topics covered include skyline queries, probabilistic logics and reasoning, theory of conceptual modeling, prediction in networks of moving objects, validation of XML integrity constraints, management of loosely structured multi-dimensional data, data discovery in the presence of annotations, and quality ranking for Web articles."

"This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on Large-Scale Scientific Computations, LSSC 2011, held in Sozopol, Bulgaria, in June 2011. The 74 revised full papers presented together with 3 plenary and invited papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on robust multigrid, multilevel and multiscale, deterministic and stochastic methods for modeling highly heterogeneous media, advanced methods for transport, control and uncertain systems, applications of metaheuristics to large-scale problems, environmental modelling, large scale computing on many-core architectures, multiscale industrial, enviromental and biomedical problems, efficient algorithms of computational geometry, high performance Monte Carlo simulations, voxel based computations and contributed papers."

"This book contains extended and revised versions of the best papers presented at the 18th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2010, held in Madrid, Spain, in September 2010. The 14 papers included in the book were carefully reviewed and selected from the 52 full papers presented at the conference. The papers cover a wide variety of excellence in VLSI technology and advanced research. They address the current trend toward increasing chip integration and technology process advancements bringing about stimulating new challenges both at the physical and system-design levels, as well as in the test of theses systems."

"Pandemi COVID-19 terjadi di seluruh dunia, dan juga di Indonesia. Selain menyebabkan korban jiwa, pandemi ini juga menyebabkan kerugian di berbagai sektor. Pemerintahberupaya mengurangi penyebaran COVID-19 dengan menerapkan berbagai kebijakan seperti kebijakan pembatasan sosial berskala besar (PSBB), serta kebijakan terkait lainnya. Namun kebijakan ini belum efektif dilihat dari tingkat penyebaran COVID-19 yang belum menurun. Kurangnya kesadaran masyarakat menjadi penyebab tingkat penyebaran COVID-19 di Indonesia. Untuk itu penelitian ini meneliti pengaruh dari dukungan sosial dan kepercayaan sosial pada respons efikasi terhadap COVID-19 menggunakan metode structural equation modeling (SEM). Faktor tersebut dipilih karena dukungan sosial merupakan aspek penting di kehidupan masyarakat Indonesia.Adapun penelitian ini dilakukan pada pekerja formal dan informal, karena pekerja masih diharuskan beraktivitas di luar rumah. Hasil menunjukan bahwa dukungan sosial dankepercayaan sosial lebih berpengaruh pada pekerja formal dibandingkan pekerja informal. Rekomendasi strategi disusun berdasarkan studi literatur. Setelah itu, pemberian bobot dilakukan menggunakan relationship matrix. Hasil dari relationship matrix tersebut adalah tujuh strategi untuk diprioritaskan bagi pekerja formal, dan tiga strategi yang di prioritaskan bagi pekerja informal

---

The COVID-19 pandemic has occurred throughout the world, and also in Indonesia. Apart from causing casualties, this pandemic also caused losses in various sectors. The government try to reduce the spread of COVID-19 by implementing various policies such as the large-scale social restriction (PSBB) policy, as well as other related policies.

However, this policy has not been effective in view of the level of the spread of COVID-19 which has not decreased. Lack of public awareness is the cause of the spread of COVID-19 in Indonesia. For this reason, this study examines the effect of social support and social trust on the efficacy response to COVID-19 using the structural equation modeling (SEM) method. This factor was chosen because social support is an important aspect of the life of Indonesian society. This research was conducted on formal and informal workers, because workers are still required to have activities outside the home.

The results show that social support and social trust are more influential on formal workers than informal workers. Strategy recommendations are compiled based on literature studies. After that, the weighting was done by using a relationship matrix. The results of the relationship matrix are seven prioritized strategies for formal workers, and three prioritized strategies for informal workers."

"Pandemi Covid-19 masuk ke Indonesia pada awal tahun 2020 dan mempengaruhi berbagai aspek kehidupan masyarakat. Pemerintah berusaha melakukan upaya pencegahan penyebaran virus corona dengan menerapkan Pembatasan Sosial Berskala Besar (PSBB). Tempat-tempat umum terpaksa ditutup sementara. Banyak kegiatan yang sebelumnya dilakukan secara tatap muka harus beralih ke ruang online untuk sementara waktu. Aplikasi video conference seperti Zoom merupakan salah satu platform yang sering digunakan pada saat proses pembelajaran online. Lansia sebagai kelompok yang paling tertinggal dalam menggunakan teknologi informasi dan komunikasi (TIK) perlu beradaptasi dengan perubahan tersebut. Penelitian ini bertujuan untuk mengetahui penerimaan dan penggunaan aplikasi Zoom oleh lansia peserta LBIQ selama masa pandemi Covid-19. Penelitian ini mengadopsi model UTAUT yang telah dikembangkan oleh Raza et al., (2020). Sampel dalam penelitian ini adalah 80 lansia peserta LBIQ. Pengumpulan data dilakukan dengan membagikan kuesioner melalui google form dengan teknik individual reported yaitu responden mengisi survei tanpa bantuan dari peneliti. Hasil penelitian menunjukan bahwa faktor harapan terhadap kinerja yang meningkat, tingkat kemudahan dalam menggunakan teknologi, pengaruh dari lingkungan sosial, fasilitas yang mendukung dan niat untuk menggunakan aplikasi Zoom disetujui oleh para responden. Sedangkan variabel ketakutan terhadap virus corona dan variabel isolasi sosial tidak disetujui oleh responden

---

The Covid-19 pandemic entered Indonesia in early 2020 and affected various aspects of people's lives. The government is trying to prevent the spread of the corona virus by implementing Large-Scale Social Restrictions (PSBB). Public areas have been temporarily closed. Many activities that were previously carried out face-to-face have had to switch to online for a while. Video conferencing applications such as Zoom are one of the platforms that are often used during the online learning process. The elderly as the most lagged group in using information and communication technology (ICT) need to adapt to these changes. This study aims to determine the acceptance and use of the Zoom application by LBIQ participants during the Covid-19 pandemic. This study adopts the UTAUT model which has been developed by Raza et al., (2020). The sample in this study was 80 elderly LBIQ participants. Data was collected by distributing questionnaires via google form with the reported individual technique of respondents filling out a survey without any help from the researcher. The results showed that the factors of performance expectancy, effort expectancy, social influence, facilitating condition and behavioral intention to use the Zoom application has been approved by the respondents. While the variable of the corona fear and the social isolation were not approved by the respondents."