cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/x8x3-mw77
title: Spike-event Object Detection for Neuromorphic Vision

description: Neuromorphic vision is one of the novel research fields that studies neuromorphic cameras and spiking neural networks (SNNs) for computer vision. Instead of computing on frame-based images, spike events are streamed from neuromorphic cameras, and novel object detection algorithms have to deal with spike events to achieve detection tasks. In this paper, we propose a solution of the novel object detection method with spike events. Spike events are first decoded to event images according to the computational methodology of neuromorphic theory. The event images can be realized as change-detected images of moving objects with a high frame rate. A redesigned deep learning framework is proposed for the object detection to deal with the event images. We propose a deep SNN method that can be realized by the conversion of successful convolution neural networks but trained by event images. We also design a methodology to build event-image datasets by object tracking algorithms. The proposed solution therefore includes spike event decoding, a redesigned deep SNN, and an event-image dataset algorithm. Experiments are conducted not only on the MNIST-DVS dataset, which is a benchmark dataset for the study of neuromorphic vision, but also on our event pedestrian detection dataset. The experimental results show that the performance of our automatic labeling algorithm is close to the model trained on manual labeled data. Moreover, the algorithm efficiency can be further improved with the PAFBenchmark dataset. The model comparison result shows that our proposed model has higher accuracy than existing SNN methods, better energy efficiency, and lower energy consumption than existing CNN methods. It demonstrates that our deep SNN method is a feasible solution for the study of neuromorphic vision. The intuition that deep SNN trained with more learning data can achieve better accuracy is also confirmed in this brand new research field.
DOI: 10.34740/kaggle/dsv/4230219
title: OntoUML/UFO Catalog
DOI: 10.34820/fk2/rbxi6y/tzcgwa
title: Trihanondo_2018_IOP_Conf._Ser.__Mater._Sci._Eng._434_012284.pdf

description: :unav
DOI: 10.34820/fk2/rbxi6y
title: The role of higher education in society activation through digital mural in ASEAN cities

description: Previous research has shown that mural graphics have a significant impact on the environment and society. As technology advances, digital graphics can also be applied to the space through a monitor or projector, providing choices in more varied graphics. Although previously popular in major cities in the world, especially with the theme surrounding the marginalization of certain communities, mural and environmental graphics made its debut back to several cities in ASEAN with new advancements. Analysis of documentation and observational techniques in the form of qualitative methods are used in this study. The analysis is divided into titles with examples from ASEAN countries. Therefore, this research is not only descriptive but also uses observation methods to collect information, explore environmental graphics and to be able to analyse other related works.
DOI: 10.5281/zenodo.7098349
title: AcousticsAustraliaArticle_dataset: participants

description: <strong>PaperAcousticsAustralia - data</strong> Audio samples were collected from 31 participants, extracted from their recorded reading (31 participants), recorded interviews (28 participants) and vowel phonations (29 participants). <strong>ParticipantProfiles spreadsheet</strong> details the age, gender, years smoking and ethnicity per participant. <strong>ReadingsAudioSamples : </strong>audio samples extracted from recorded readings. There are generally two reading audio samples per participant. The measures reported per participant are the mean values read from PRAAT for the two samples extracted for each participant. <strong>InterviewsAudioSamples :</strong> audio samples extracted from recorded interviews. This concerns 28 participants: there is no audio samples available from the interviews of participants P20, P33 and P42. There are generally at least two audio samples per participant. The measures reported per participant are the mean values read from PRAAT for the participant’s audio samples. <strong>VowelPhonationAudioSamples :</strong> audio samples of vowel /a/ sustained phonation for 29 participants. Most samples were recorded by the participants, and eight of them were recorded by phone (look for ‘phone’ in the audio sample name). There is only one vowel phonation sample per participant and no vowel phonation sample was provided for participants P16 and P25.
DOI: 10.5281/zenodo.7098348
title: AcousticsAustraliaArticle_dataset: participants

description: <strong>PaperAcousticsAustralia - data</strong> Audio samples were collected from 31 participants, extracted from their recorded reading (31 participants), recorded interviews (28 participants) and vowel phonations (29 participants). <strong>ParticipantProfiles spreadsheet</strong> details the age, gender, years smoking and ethnicity per participant. <strong>ReadingsAudioSamples : </strong>audio samples extracted from recorded readings. There are generally two reading audio samples per participant. The measures reported per participant are the mean values read from PRAAT for the two samples extracted for each participant. <strong>InterviewsAudioSamples :</strong> audio samples extracted from recorded interviews. This concerns 28 participants: there is no audio samples available from the interviews of participants P20, P33 and P42. There are generally at least two audio samples per participant. The measures reported per participant are the mean values read from PRAAT for the participant’s audio samples. <strong>VowelPhonationAudioSamples :</strong> audio samples of vowel /a/ sustained phonation for 29 participants. Most samples were recorded by the participants, and eight of them were recorded by phone (look for ‘phone’ in the audio sample name). There is only one vowel phonation sample per participant and no vowel phonation sample was provided for participants P16 and P25.
DOI: 10.6084/m9.figshare.21162493
title: 123

description: Soil biodiversity, plant diversity, and ecosystem functional data from urban greenspaces.
DOI: 10.6084/m9.figshare.21162493.v1
title: URBAN_BEF_dataset_vf_original.xlsx

description: Soil biodiversity, plant diversity, and ecosystem functional data from urban greenspaces.
DOI: 10.6084/m9.figshare.21162493.v2
title: 123

description: Soil biodiversity, plant diversity, and ecosystem functional data from urban greenspaces.
DOI: 10.17632/5zncg9bhkr.1
title: SRFC preseason abundance forecast mean versus median comparison code and data

description: Supporting data and code for analyses comparing the use of mean versus median when converting the Sacramento River Fall Chinook (SRFC) abundance index (SI) forecast from the logarithmic to arithmetic scale.
DOI: 10.5281/zenodo.7098374
title: JalCommunDisorderAssistTechnol_dataset: participants

description: <strong>PaperJalCommunDisorderAssistTechnol - data</strong> Audio samples were collected from 59 participants, either extracted from recorded reading (34 participants) or from a recorded interview (the remaining 25 participants). <strong>ParticipantProfiles spreadsheet </strong>details the age, gender, and years smoking per participant. <strong>ReadingsAudioSamples :</strong> audio samples extracted from recorded readings. This concerns 34 participants. There are generally two reading audio samples per participant. The measures reported per participant are the mean values read from PRAAT for the two samples per participant. <strong>InterviewsAudioSamples :</strong> audio samples extracted from recorded interviews. This concerns 25 participants. There is generally only one audio sample per participant. When there is more than one audio sample for a same participant, the measures reported for the participant are the mean values read from PRAAT for the participant’s audio samples.
DOI: 10.5281/zenodo.7098373
title: JalCommunDisorderAssistTechnol_dataset: participants

description: <strong>PaperJalCommunDisorderAssistTechnol - data</strong> Audio samples were collected from 59 participants, either extracted from recorded reading (34 participants) or from a recorded interview (the remaining 25 participants). <strong>ParticipantProfiles spreadsheet </strong>details the age, gender, and years smoking per participant. <strong>ReadingsAudioSamples :</strong> audio samples extracted from recorded readings. This concerns 34 participants. There are generally two reading audio samples per participant. The measures reported per participant are the mean values read from PRAAT for the two samples per participant. <strong>InterviewsAudioSamples :</strong> audio samples extracted from recorded interviews. This concerns 25 participants. There is generally only one audio sample per participant. When there is more than one audio sample for a same participant, the measures reported for the participant are the mean values read from PRAAT for the participant’s audio samples.
DOI: 10.34820/fk2/ypuucd/zetp1v
title: Tabulasi Belitung.tab

description: Data primer tabulasi kuesioner
DOI: 10.34820/fk2/ypuucd
title: Factors Influencing Tourists’ Visitation to Belitung Island as a National Priority Destination

description: Data ini merupakan data primer dari penelitian dengan judul diatas
DOI: 10.34820/fk2/ifpb9b/7ifezg
title: Tourist intention Tiktok DIY.tab

description: Tabulasi Kuesioner
DOI: 10.34820/fk2/ifpb9b
title: THE INFLUENCE OF ELECTRONIC WORD OF MOUTH ON TOURIST INTENTION AND ITS IMPACT ON VISIT DECISION (CASE STUDY TIKTOK ON TOURISM DESTINATION IN SPECIAL REGION OF YOGYAKARTA)

description: Data primer tabulasi kuesioner
DOI: 10.34820/fk2/kcdxqe/ec6jqq
title: data mentah responden.tab

description: :unav
DOI: 10.34820/fk2/kcdxqe
title: ANALISIS CUSTOMER VALUE INDEX DALAM MENGGUNAKAN MOBILE PAYMENT DI DKI JAKARTA

description: Terdapat lima mobile payment di Indonesia yang banyak digunakan oleh masyarakat: ShopeePay, OVO, Gopay, DANA, dan LinkAja. Kelima mobile payment tersebut berlomba-lomba memberikan kegunaan dan kemudahan yang hampir serupa. Mereka juga bekerja sama dengan berbagai kategori merchant atau mitra untuk mempermudah mereka menjangkau konsumen. Tetapi, kelima mobile payment tersebut memiliki fitur yang berbeda. Berdasarkan provinsi, pengguna mobile payment terbanyak adalah provinsi DKI Jakarta.
DOI: 10.34820/fk2/mlflqy/zuq0f1
title: DATASET_KANIA.tab

description: :unav
DOI: 10.34820/fk2/mlflqy
title: Impact Of Social Media Marketing And Electronic Word Of Mouth (E-Wom) On Purchase Intention (Case Study On Sunday Bowl Cereal Club)

description: The present quantitative research is intended to conduct an investigation into the effect of social media marketing and electronic word of mouth (E-WOM), especially on Instagram, on the purchase intention of Sunday Bowl Cereal Club products. As for the sampling strategy, the non-probability purposive sampling method was employed in this research. Samples were drawn from up to 300 respondents. To analyze the data, this research employed the Structural Equation Modeling (SEM) models that are processed using SmartPLS 3.2.9. The results show that social media marketing has a positive and significant relationship to E-WOM. Age and gender moderate the relationship between social media marketing and E-WOM. Social media marketing has a positive and significant relationship on purchase intention. Age and gender do not moderate the relationship between social media marketing and purchase intention. E-WOM has a positive and significant relationship on purchase intention. Age moderate the relationship between E-WOM and purchase intention. Gender do not moderate the relationship between E-WOM and purchase intention. Social media marketing has a positive and significant relationship on purchase intention through E-WOM. Age moderate the relationship between Social media marketing and purchase intention through E-WOM. Gender do not moderate the relationship between social media marketing and purchase intention through E-WOM. Sunday Bowl Cereal Club needs to pay attention to the framework in the customer life cycle: Plan-Reach-Act to increase their social media marketing. Then Sunday Bowl Cereal Club needs to improve its marketing mix through E-WOM in encouraging purchase intention from potential customers.
DOI: 10.34820/fk2/w11j7h/ueaglz
title: Output Kuesioner Penelitian.tab

description: :unav
DOI: 10.34820/fk2/w11j7h
title: PENDEKATAN HIERARKI KEBUTUHAN MASLOW PADA ELECTRIC VEHICLES PURCHASE MOTIVATION DI INDONESIA

description: Tingginya pertumbuhan ekonomi menyebabkan terjadinya peningkatan jumlah kendaraan yang berdampak pada tingginya konsumsi energi primer dan peningkatan polusi udara. Krisis minyak pada tahun 1970-an meningkatkan kesadaran publik mengenai isu terkait energi dan mendorong konsumen untuk mengurangi konsumsi energi. Perusahaan telah mempertimbangkan hal tersebut dengan berinisiatif untuk melakukan program perlindungan lingkungan, promosi menggunakan energi terbarukan, pengurangan jejak karbon, dan berbagai upaya lainnya yang diapresiasi publik. Saat ini, Electric Vehicles (EV) dianggap sebagai salah satu respons untuk mengurangi penggunaan energi minyak dan emisi karbon dari sektor transportasi. Kesuksesan EV dipengaruhi oleh bagaimana mobil tersebut diterima dan diadopsi oleh masyarakat. Sangat penting untuk mempertimbangkan kebutuhan manusia yang berbeda dalam mendorong masyarakat untuk menggunakan EV. Hierarki kebutuhan Maslow banyak digunakan dalam organisasi dan literatur sumber daya manusia untuk mengetahui tingkatan kebutuhan manusia. Model ini juga digunakan untuk mempelajari motivasi pembelian konsumen dan perilaku pembelian konsumen. Model tersebut memperlihatkan konsep dasar bahwa kebutuhan manusia yang berbeda, (yaitu basic need, psychological safety need, social affiliation need, self-esteem need, dan need-to-know) yang berperan penting dalam membentuk perilaku pembelian konsumen terhadap produk atau jasa tertentu. Dalam penelitian ini juga menggunakan faktor demografis yang terdiri dari usia, jenis kelamin, pendidikan terakhir, pendapatan bulanan, status pernikahan, dan jumlah kepemilikan mobil sebagai variabel kontrol. Penelitian ini merupakan penelitian kuantitatif dengan tujuan kausal. Data yang digunakan berasal dari kuesioner yang disebarkan kepada 385 orang dengan menggunakan teknik pengumpulan purposive sampling. Kuesioner menggunakan skala Likert. Waktu pelaksanaan dilaksanakan secara cross-sectional. Teknik analisis data menggunakan regresi linear berganda dan dilakukan uji hipotesis. Hasil penelitian menyatakan dari keenam variabel kontrol yang digunakan hanya pendapatan bulanan yang berpengaruh positif dan signifikan terhadap EV Purchase Motivation. Berdasarkan hasil penelitian, variabel Openness to Experience berpengaruh paling signifikan terhadap EV Purchase Motivation, diikuti Environmental Concern, Price Consciousness, dan Self Esteem. Sedangkan, variabel Social Influences berpengaruh negatif dan tidak signifikan terhadap EV Purchase Motivation. Pengaruh hierarki kebutuhan Maslow dan faktor demografis terhadap EV Purchase Motivation sebesar 35,1%, sedangkan 64,9% dipengaruhi oleh variabel lain. Dari sudut pandang praktis, terdapat beberapa rekomendasi yang berguna bagi pemerintah untuk merumuskan dan menerapkan kebijakan untuk mempercepat elektrifikasi kendaraan dan juga saran kepada pemasar dan produsen otomotif mengenai motivasi konsumen Indonesia untuk membeli EV.
DOI: 10.34820/fk2/xshr0y/q6arac
title: dataset_persepsi_muthia f_HRI.tab

description: :unav
DOI: 10.34820/fk2/xshr0y
title: A GAP ANALYSIS OF MOBILE SERVICE QUALITY BETWEEN MANAGER'S PERCEPTION AND CUSTOMER'S PERCEPTION

description: Company’s experienced increasing number of customersand it is considered that company has fulfilled customer expectation. However, it was never investigated whether customer’s reason are company service quality or not. It often happens that gap of knowledge occurs between customer perception and management perception. This research was conducted to determine importance level of mobile service quality in customer perception and management perception and whether there is any gap or not. The assessment includes dimensions of System Service Quality (Efficiency And Effectiveness, Functionality, Integration, Construct Cost, Security),Information Service Quality (Accuracy, Integrity, Usability, Readability), and Customer Service Quality (After-Sales Service, Flexible-Price Policy, Technique Support, Training. This research was conducted at PT.Hutchinson 3 Indonesia (Tri), as one of survived cellular operator among other giant companies in Indonesia.It was determined that, in the customer perception from the highest to the lowest, System Service Quality (SSQ)was 87.18%, Information Service Quality (ISQ)was 82.01% and Customer Service Quality (CSQ)was 80.39%. In the management perception from the highest to the lowest, System Service Quality (SSQ)was 89.67%, Customer Service Quality (CSQ)was 84.58%, and Information Service Quality (ISQ)was 83.96%. Tri management is expected to frequently organize communication/promotion forum and evaluate customer complaint data effectively and efficiently in order to make better planning in the future to meet the importance priority in accordance with customer perception.
DOI: 10.34820/fk2/a55een/empygl
title: VAKSIN -500 dataset.xlsx

description: :unav
DOI: 10.34820/fk2/a55een
title: Analsisis Persepsi Masyarakat Terhadap Vaksin Covid-19 Di Indonesia Sebagai Masukan Bagi Pemerintah

description: Pada tanggal 2 maret 2020, Presiden Joko Widodo secara resmi mengumumkan adanya warga negara Indonesia yang terkonfirmasi positif covid-19. Berdasarkan data dari laman resmi Komite Penanganan Covid-19 dan Pemulihan Ekonomi Nasional sampai dengan tanggal 30 Maret 2020 jumlah jumlah kasus terkonfirmasi sebanyak 1.501.093 kasus, total sembuh sebanyak 89,1% (1.336.818) dan meninggal dunia sebanyak 2,7% (40.518), sementara itu kasus yang masih aktif adalah sebanyak 8,2% (123,694). Berbagai upaya dilakukan Pemerintah untuk menekan penyebaran covid-19 di Indonesia. Diantaranya membentuk tim satuan tugas penanggulangan covid-19, menerapkan protocol Kesehatan, PSBB, dan yang terbaru adalah vaksin covid-19. Vaksin dimulai sejak tanggal 13 Januari 2021 yang ditandai dengan penyuntikan vaksin kepada presiden. Vaksinasi covid-19 dimaksudkan untuk membentuk kekebalan komunitas atau herd immunity. Sejak penyuntikan vaksin covid-19 mulai diberlakukan muncul berbagai reaksi dari masyarakat, yang dipicu dari tingkat kepercayaan yang berbeda-beda terhadap vaksin. Reaksi dari masyarakat tersebut disalurkan melalui berbagai media. Media social tidak luput menjadi salah satu media tempat menyalurkan opini dan berbagai reaksi masyarakat terhadap kebijakan maupun kegiatan yang dilakukan oleh pemerintah. Berdasarkan riset pada Hari Sosial Media yang jatuh pada Tanggal 3 Juni 2020, Indonesia mencatat 3 aplikasi media sosial yang sering digunakan masyarakat adalah Instagram, Twitter, dan Tiktok. Berdasarkan fenomena tersebut tujuan dari penelitian ini adalah menganalisis persepsi masyarakat terhadap vaksin covid-19 yang dilakukan di Indonesia sebagai masukan bagi pemerintah dalam menentukan kebijakan selanjutnya. Penelitian akan memanfaatkan User Generated Content (UGC) dan merupakan data driven research untuk menganalisis persepsi masyarakat. Selanjutnya juga akan dilakukan pengelompokan opini masyarakat menggunakan Latent Dirichlet Allocation (LDA) untuk mengetahui topik pembicaraan yang sering dibahas oleh masyarakat. Hasil dari penelitian ini diharapkan dapat menjadi masukan bagi pemerintah dalam menentukan kebijakan lanjutan terkait vaksin covid-19 di Indonesia.
DOI: 10.26182/caae-e992
title: NESP NAERH Project 1.6 scenarios assessment_current situation full output
DOI: 10.6084/m9.figshare.20264277
title: Near-real-time daily estimates of fossil fuel CO2 emissions from 48 cities in China

description: Dataset for Carbon Monitor Cities-China (CMCC), a near-real-time dataset of daily CO2 emissions from fossil fuel and cement production for major high-emission cities in China. This dataset provides territory-based emission estimates from 2020-01-01 to 2021-12-31 for five sectors: power generation, residential (buildings and services), industry, ground transportation, and aviation. CMCC is developed based on an innovative framework that integrates bottom-up inventory construction and daily emission estimates from sectoral activities and models.
DOI: 10.6084/m9.figshare.20264277.v1
title: Near-real-time daily estimates of fossil fuel CO2 emissions from 48 cities in China

description: Dataset for Carbon Monitor Cities-China (CMCC), a near-real-time dataset of daily CO2 emissions from fossil fuel and cement production for major high-emission cities in China. This dataset provides territory-based emission estimates from 2020-01-01 to 2021-12-31 for five sectors: power generation, residential (buildings and services), industry, ground transportation, and aviation. CMCC is developed based on an innovative framework that integrates bottom-up inventory construction and daily emission estimates from sectoral activities and models.
DOI: 10.34820/fk2/trb2u3/v5vnq2
title: Resume Data_Abstrak_Conslucion.xlsx

description: :unav
DOI: 10.34820/fk2/trb2u3
title: Pendekatan Ontologis Dalam Studi Literatur Kecerdasan Buatan Untuk Bisnis

description: Kecerdasan buatan (Artificial intelligence) menjadi topik yang banyak dibicarakan dalam literatur Teknologi Informasi. Sejak, kemunculannya pada tahun 1951, kecerdasan buatan menjadi komponen pokok dalam paradigma teknologi informasi dan prasyarat untuk kesuksesan organisasi secara umum. Kemajuan kecerdasan buatan menjadi jantung peningkatan kinerja semua teknologi lain dan evolusi Industri 4.0. Kecerdasan buatan banyak diimplementasikan di berbagai sektor bisnis. 71% dari organisasi dan pimpinan perusahaan melihat kecerdasan buatan dan pembelajaran mesin sebagai “game-changer”. Sementara itu 78% pemilik merk telah atau berencana untuk mengimplementasikan kecerdasan buatan pada tahun 2020, dan pertumbuhan pasar kecerdasan buatan secara global diramalkan mencapai $118.6 triliun tahun 2025. Terdapat setidaknya sepuluh lini bisnis yang siap menggunakan kecerdasan buatan, yaitu pemasaran, penjualan, sumber daya manusia, IT center, call center, pemeliharaan Gedung, manufaktur, akuntansi dan keuangan, serta customer experience (Marr, 2020). Akan tetapi, implementasi di lapangan dari kecerdasan buatan dalam bisnis masih bias. Belum adanya referensi mengenai konsep mendasar implementasi kecerdasan buatan dalam bisnis. Perlu adanya kajian ontologi yang dapat menjelaskan model semantik dari implementasi kecerdasan buatan dalam bisnis. Sehingga tujuan dari penelitian ini adalah mengetahui definisi mendasar kecerdasan buatan untuk bisnis dan sifat (nature) kecerdasan buatan untuk bisnis, serta mengetahui prinsip-prinsi yang menentukan implementasi kecerdasan buatan untuk bisnis. Penelitian ini dilakukan dengan melakukan penelusuran Pustaka kemudian dimodelkan secara ontologis dengan menggunakan NLP yang akan dianalisis dengan menggunakan network analysis, tools yang akan digunakan adalah R studio. Hasil dari penelitian ini diharapkan dapat menjadi konsep dasar mengenai kecerdasan buatan untuk bisnis, memberikan informasi mengenai nature dari kecerdasan buatan untuk bisnis, dan prinsip-prinsip implementasi kecerdasan buatan untuk bisnis