bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Bio P60 and Bio T10 alone or in combination to control Fusarium wilt of Hydroponic Melon
Authors: Soesanto Loekas , Nuraini Ika Vidi , Sastyawan Murti Wisnu Ragil , Mugiastuti Endang , Leana Ni Wayan Anik , Rahayuniati Ruth Feti
Published: July 2024

The research aimed to determine the effect of single and combined applications of Bio P60 and Bio T10 in suppressing stem base rot and its effect on the growth and production of hydroponic melon. This research was conducted at Flos Hydroponic Organic at Bansari Village, Bansari District, Temanggung Regency from February to June 2023. Randomized Block Design was used with 6 replicates. The treatments were control (propamocarb hydrochloride), Bio P60, Bio T10, and a combination of Bio P60 and Bio T10 (1:1, v/v). Variables observed were incubation period, disease intensity, infection rate, area under disease progress curve (AUDPC), control effectiveness, plant length, number of leaves, fresh weight, leaf color, first flowering date, first fruit formation, number of fruits per plant, fruit weight per plant, and phenolic compounds qualitatively. The results showed that the combined treatment of Bio P60 and Bio T10 had the best effect indicated by delaying the incubation period, reducing disease intensity, reducing infection rates, reducing AUDPC values, increasing the value of control effectiveness, increasing plant length, number of leaves, plant fresh weight, leaf color, time of first flower appearance, time of fruiting, and fruit weight respectively of 31.25, 41.19, 13.33, 65.31, 55.61, 17.25, 5.57, 36.44, 11.47, 8.55, 9.63, and 22.92 % compared to control. The application of Bio P60, Bio T10, and the combination could increase the phenolic compounds (tannins, saponins, and glycosides) qualitatively in melon leaves.
PEMBEKALAN EKONOMI KREATIF PEREMPUAN MELALUI PELATIHAN KETERAMPILAN MEMBUAT BROS JILBAB LAYAK JUAL
Authors: Erni Sukma , Susiba Susiba , Khairiah Khairiah , Roza Elya
Published: July 2024

Situasi ekonomi perempuan secara umum berada pada titik miris sebagai dampak dari ketergantungan ekonomi dalam keluarga. Perempuan semakin berada pada titik lemah akibat stigma pekerjaan rumah yang dilaksanakan tanpa batas waktu kerja yang jelas tidak dipandang sebagai aset yang harus dinilai secara profesional. Segala potensi kreatif terkubur akibat kesibukan rumah tangga yang dihadapi menuju subordinasi. Pelatihan keterampilan daiperkirakan dapat memantik potensi kreatif berproduksi yang bernilai ekonomis. Pelatihan diawali dengan diskusi ringan pengembangan kreatifitas sederhana, dibutuhkan dan bernilai ekonomis sehingga sampai pada kesepakatan mebuat bros jilbab. Dilaksanakan dengan cara sederhana, mengenalkan, melatihkan, membimbing dan menilai kelayakan produk. Hasil yang diperoleh sangat beragam, terdapat peserta yang dilatihkan sekali kemudian berusaha membuat, memperbaiki dan menilai hasil sendiri. Terdapat pula peserta yang membutuhkan pendampingan tahap demi tahap sampai berproduksi sendiri. Simpulan pelatihan adalah setiap perserta memiliki kecepatan paham berbeda. Kendati ditemukan yang cukup pelan untuk paham dan terampil namun tetap bisa berproduksi dengan baik. Dengan demikian dapat ditegaskan bahwa setiap perempuan dapat diberdayakan melalui berbagai pelatihan sederhana produksi bernilai ekonomi
Pelatihan Penggunaan Mendeley bagi Mahasiswa Prodi Pendidikan Ekonomi
Authors: Wati Indah , Salmiah Salmiah , Novita Yulia , Ristiliana Ristiliana , Sari Herlini Puspika
Published: July 2024

Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk memberikan pelatihan penggunaan Mendeley kepada mahasiswa Program Studi Pendidikan Ekonomi, Fakultas Tarbiyah dan Keguruan, Universitas Islam Negeri Sultan Syarif Kasim Riau. Proses penyelesaian masalah dilakukan melalui tiga tahap yaitu persiapan, pelaksanaan, dan evaluasi. Pelatihan ini diikuti oleh 100 peserta. Berdasarkan pelaksanaan kegiatan, dapat disimpulkan bahwa para peserta sangat antusias mengikuti pelatihan penggunaan Mendeley ini dan berharap adanya tindak lanjut berupa pelatihan teknik penulisan tugas akhir lanjut dengan Mendeley. Diperkirakan, kegiatan yang dilakukan oleh tim pengabdi ini dapat membantu mahasiswa dalam menulis situs, mencari referensi online, dan menyusun daftar pustaka dengan benar, cepat, dan otomatis, baik dalam penulisan makalah maupun tugas akhir. Dari tahap persiapan, pelaksanaan, dan evaluasi yang telah dilakukan, terjadi peningkatan pengetahuan dan keterampilan dalam menggunakan aplikasi Mendeley, yang terlihat dari hasil pretest dan posttest melalui Google Forms. Tim pengabdi berharap kegiatan ini dapat terus berlanjut dan membantu mahasiswa dalam penulisan situs dan daftar pustaka. Kata Kunci:  Pelatihan, MendeleyKegiatan Pengabdian Kepada Masyarakat ini bertujuan untuk memberikan pelatihan pemanfaatan Mendeley kepada mahasiswa Program Studi Pendidikan Ekonomi Fakultas Tarbiyah dan Keguruan Universitas Islam Negeri Sultan Syarif Kasim Riau. Proses pemecahan masalah dilakukan melalui tiga tahap yaitu persiapan, pelaksanaan, dan evaluasi. Pelatihan ini diikuti oleh 100 peserta. Berdasarkan pelaksanaan kegiatan dapat disimpulkan bahwa peserta sangat antusias mengikuti pelatihan penggunaan Mendeley dan berharap adanya pelatihan lanjutan mengenai teknik penulisan skripsi menggunakan Mendeley. Kegiatan yang dilakukan tim pengabdian ini diharapkan dapat membantu mahasiswa dalam menulis situs, mencari referensi online, dan menyusun daftar pustaka dengan benar, cepat, dan otomatis, baik dalam penulisan makalah maupun skripsi. Dari tahap persiapan, pelaksanaan, dan evaluasi yang telah dilakukan, terjadi peningkatan pengetahuan dan keterampilan dalam menggunakan aplikasi Mendeley, terlihat dari hasil pretest dan posttest yang dilakukan melalui Google Forms. Tim pengmas berharap kegiatan ini dapat terus berlanjut dan membantu mahasiswa dalam penulisan situs dan daftar pustaka. Kata Kunci :  Pelatihan, Mendeley
The Relationship between Atopic Dermatitis and Food Allergy
Authors: Elgharably Noura , Al Abadie Mohammed
Published: July 2024

Atopic dermatitis (AD) is a chronic inflammatory skin disorder characterised by an inadequate skin barrier. This can be caused by a variety of reasons such as hereditary predisposition and immunological dysregulation. AD affects 20% of infants, it is the most common chronic inflammatory skin disease in this group, and 3% of adults. It typically manifests as moderate disease, with two-thirds of people with AD unlikely to develop sensitivity to environmental allergens; nonetheless, there have frequently been connections with atopic diseases, particularly IgE-mediated food allergy (FA). Allergy is confirmed with a food challenge test before restricting this in the diet. Up to one-third of children with early-onset AD experience an atopic march, which is characterised by the later development of atopic disorders including asthma, allergic rhinitis and/or rhinoconjunctivitis, food allergies, and hay fever. As a result, AD and food allergy are linked, and recent research shows that AD develops before food sensitisation, and food allergy relates to atopic dermatitis of varied severity.
The Relationship Of Industrial Work Practices And Learning Motivation To Job Preparation
Authors: Wulandari Yuka , Andriani Cici , Elida Elida , Zulfikar Dikki
Published: July 2024

This research aims to describe the relationship between industrial work practices and learning motivation on students' readiness to enter the world of work in class XII Bukittinggi. In this research, measurements will be taken to determine the relationship between industrial work practices and learning motivation on students' readiness to enter the world of work. This research is a type of correlation research using a quantitative approach. The population was students of class Based on the results of hypothesis testing, it can be seen that industrial work practices and learning motivation have a very good relationship with readiness to enter the world of work for XII Culinary students at SMKN 2 Bukittinggi. This can be seen based on the correlation figures, namely Rcount > Rtable 0.825 > 0.288. It can be seen that the relationship between the variables of industrial work practices and learning motivation and work readiness has a perfect relationship because it is between 0.810-1.000. Based on the f test, it can be seen that the Sig. for variable SMKN 02 Bukittinggi.
Quality Of Bakpao With The Use Of Different Steaming Equipment
Authors: Maharani Annisa , Elida Elida
Published: July 2024

This research aims to analyze the effect of using different steaming base ingredients on the quality of the buns. This research is an experiment using 3 basic steaming materials (aluminium, stainless steel, bamboo) with 3 repetitions. The data analysis technique used is Analysis of Variance (ANAVA) to analyze sensory test data. The results of the sensory tests obtained quality including shape (neat) average values of X₁ (3.22), X₂ (3.22), X₃ (3.89). Shape (1/2 circle) average values of X₁ (3.39), X₂ (3.11), X₃ (3.11). Volume (expand) average values X₁ (3.22), X₂ (3.33), X₃ (3.22). Aroma (yeast-scented) mean values X₁ (3.22), X₂ (3.22), X₃ (3.89). Texture (slippery) average values X₁ (3.22), X₂ (3.11), X₃ (3.56). Texture (soft) average values X₁ (3.67), X₂ (3.89), X₃ (3.78). Texture (fine porous) average values X₁ (3.44), X₂ (3.33), X₃ (3.33). Taste (moderately sweet) average values X₁ (3.11), X₂ (3.11), X₃ (3.11). Based on the results of the sensory test, it was found that Fcount was greater than Ftable for the quality of the aroma of the buns, so it was continued with the Duncan test. X₁ and X₂ are not significantly different, X₁ and X₃ are significantly different. It was concluded that the results of the quality test of the buns using different steaming base materials were in the treatment (X₃) using bamboo-based steamers.
Standardization Of Traditional Sambareh Food Recipes
Authors: Efendi Elma Wahyuni , Gusnita Wiwik , Siregar Juliana , Indrayeni Wiwik
Published: July 2024

Thebackground to this research is that there is no standard sambareh recipe in Nagari Pakandangan, Enam Lingkung District, Padang Pariaman Regency, because there are still differences in ingredients and the measurements used and the processing process. this research aims to standardize the sambareh recipe in Nagari Pakandangan, Enam Lingkung District. This type of research uses a mixed method between quantitative and qualitative descriptive. Qualitative data collection techniques are observation, interviews, documentation and quantitative data collection techniques are organoleptic questionnaire format. Technique Active qualitative data analysis uses three activity stream, namely data reduction, data presentation, drawing conclusions and quantitative data analysis techniques using the formula (Mx=∑ x / N), data validity, testing the validity of qualitative data, namely: extended participation, diligent observation, and triangulation. Based on the research results, 3 sambareh recipes were obtained. The results of the organoleptic test obtained the highest score by Mrs. Erdayanti from Korong Kampuang Paneh with an average score of 23,4.  standardization of the sambareh recipe is carried out by organoleptic tests to obtain good quality Sambareh including: Sambareh shape (neat), color of Sambareh (white), aroma of Sambareh (fragrant combination of the addition of other ingredients), texture. sambareh (soft and nesting) and the taste of sambareh (savory).
Peran Pemerintah Daerah dalam Pemeliharaan Bahasa Daerah Melalui Pendekatan Baru Revitalisasi Bahasa Daerah Model B di Kabupaten Nagan Raya
Authors: Sitompul Siti Jahria , Syahputri Veni Nella , Kesha Cut Nabilla , Aduwina Aduwina
Published: July 2024

The phenomenon of regional language extinction, particularly in Indonesia, is clearly evident and experienced by the language users themselves. In order to prevent the extinction of regional languages, the government has long established a legal framework for regional languages in Indonesia. The Minister of Education has also introduced guidelines (Models A and B) for the revitalization of local languages, with the aim of preserving them in Indonesia. These guidelines are intended to support local governments in adopting strategies to maintain and preserve local languages. Consequently, researchers have shown interest in examining the role of the Regional Government of Nagan Raya Regency in preserving the local language. This research employs a descriptive qualitative method, utilizing data collection techniques such as observation, documentation, and in-depth interviews. The findings of this research indicate that 5 out of 6 approaches to regional language revitalization efforts have been implemented in line with the Language Development and Development Agency (2022). However, the Nagan Raya government has not yet implemented an immersion-based learning approach to language revitalization, as this program is still unfamiliar to them. Nevertheless, other approaches, such as one-day language practice, technology-based learning, religion, arts and culture, and creativity, have been successfully implemented.
Dampak Konsumsi Kendaraan Listrik Terhadap Lingkungan dalam Prespektif Al-Qur’an; QS. Al-Rum ayat 41
Authors: Harahap Amiruddin Tayib , Windra Ahmad , Paridatussaudiah Paridatussaudiah , Sohibi Harahap Ali Musolli
Published: July 2024

AbstractVehicle usage is expanding as technology advances, including the use of electric vehicles, which impact the environment. This article analyzes the history of electric vehicles, as well as the source and environmental impact of electric vehicle batteries, by examining Qurthubi, Al-Zuhaili, and M. Qurasy Shihab's interpretation of Surah ar-Rum Verse 41, which deals with the destruction on Earth. The writer used the literature research method to complete this study. According to the research findings, electric vehicles have been used since the 1990s, with batteries being the primary material sourced from mineral mines. Poor mining and processing of battery waste can disrupt the Earth's balance, negatively influencing the environment. Imam Qurthubi, Wahbah al-Zuhailiy, and M. Qurasy Shihab interpret the term fasad in QS. Ar-Rum verse 41 refers to physical and non-physical damage on land and at sea. Essentially, all of this is the product of human activity, so the solution to environmental preservation through the usage of electric vehicles harms other regions of the globe, resulting in negative environmental consequences.Keywords: Al-Qur’an; Ar-Rum 41; Effects; Electric vehicles; Environment. AbstrakSeiring dengan berkembangnya teknologi, penggunaan kendaraan semakin meningkat, termasuk dalam penggunaan kendaraan listrik yang menimbulkan efek terhadap lingkungan. Artikel ini membahas tentang sejarah kendaraan listrik, sumber dan dampak baterai kendaraan listrik terhadap lingkungan, dengan melihat kepada penafsiran Qurthubi, Al-Zuhaili, dan M. Qurasy Shihab terhadap surat ar-Rum Ayat 41 terkait kerusakan yang terjadi di muka bumi. Dalam menyelesaikan artikel ini penulis menggunakan metode penelitian kepustakaan. Dari hasil penelitian, penulis menemukan bahwa kendaraan listrik sudah digunakan sejak tahun 1990-an dengan baterai sebagai bahan utamanya yang dihasilkan dari tambang mineral. Penambangan dan pengolahan limbah baterai yang tidak baik dapat merusak keseimbangan bumi sehingga berdampak buruk bagi lingkungan. Imam Qurthubi, Wahbah al-Zuhailiy, dan M. Qurasy Shihab menafsirkan kata fasad pada QS. Ar-Rum ayat 41 dengan kerusakan yang terjadi di darat dan di laut, baik secara fisik maupun non fisik. Pada dasarnya semua itu disebabkan karena perbuatan tangan manusia, sehingga solusi pelestarian lingkungan melalui penggunaan kendaraan listrik justru harus merusak belahan bumi lainnya yang mengakibatkan dampak negatif terhadap lingkungan. Kata Kunci: Al-Qur’an; Ar-Rum 41; Dampak; Kendaraan Listrik; Lingkungan.
Contextualizing the Hadith on Tying Hair in a Ponytail during Prayer: A Ma'ani al-Hadis Study
Authors: Dwi Junita Rina , Muhajirin Muhajirin , Zulfikar Eko
Published: July 2024

This article examines the hadith prohibiting someone from wearing a ponytail when performing prayer. There are so many hairstyles nowadays and demands, this is difficult for some people, both men and women, to avoid. Is it contrary to the hadith of the Prophet or not! This is interesting to research further. How to understand the hadith in the current context is a solution to find answers put forward using the ma'ani al-hadith method, so that the hadith is contextualized according to current developments. By using qualitative methods, this article concludes that the understanding of the hadith above is that there are provisions for the period in which it occurred. The hadith prohibition of wearing hair in a ponytail during prayer can actually change into a separate context so that it can be changed to allow wearing hair in a ponytail during prayer. Contextualization in this context refers to efforts to understand and interpret a religious teaching or commandment, in this case the hadith, by considering different cultural, social and time contexts. In this case, contextualizing the hadith "prohibition of wearing hair in a ponytail during prayer" involves understanding that the rule may be adapted to current realities that are different from the time in which the hadith was conveyed. This emphasizes that the understanding and application of Islamic law is not static, but can adapt to changing times and different social conditions.
PERSPEKTIF ISLAM DAN BUDHA TERHADAP FENOMENA PENISTAAN AGAMA (Studi Komparatif Al-qur’an dan Tripitaka)
Authors: Anggraini Tri Faizah
Published: July 2024

AbstractThis study aims to determine how the Holy Qur'an and Tripitaka respond to the phenomena of blasphemy. This study employs a qualitative research method with a library approach to achieve this purpose. The data originated from two sources: primary sources and secondary sources. This study used a descriptive-comparative analysis model to analyze the data. The study's findings reveal an agreement prohibiting the reviling, insulting, and degrading of the noble values held by each religion. In terms of how the two holy scriptures respond to blasphemers, they have distinct and often opposing narratives. The Qur'an promotes a rigid approach, but the Tripitaka suggests correcting erroneous interpretations for perpetrators of religious distortion.Keywords: Al-qur’an; Blasphemy; Comparative; Tripitaka. AbstrakPenelitian ini bertujuan untuk menemukan perspektif kitab suci al-Qur’an dan Tripitaka dalam merespon fenomena penistaan agama. Untuk mencapai tujuan tersebut, penelitian ini menggunakan metode penelitian kualitatif dengan tekhnik pustaka. Data-data yang menjadi otoritas penelitian ditemukan melalui dua sumber, yakni sumber primer dan sumber sekunder. Sebagai pisau analisa data, penelitian ini menggunakan model analisis deskriptif-komparatif. Dari pengkajian yang telah dilakukan, ditemukan hasil berupa kesepakatan larangan mencaci, menghina dan merendahkan konsep luhur yang diyakini oleh setiap agama. Terhadap respon bagi pelaku penistaan agama, kedua kitab suci memiliki narasi khas yang cenderung berbeda. Al-qur’an lebih menekankan kepada sikap tegas, sementara Tripitaka menganjurkan untuk memberikan koreksi terhadap interpretasi yang keliru bagi pelaku pendistorsian agama. Kata Kunci: Al-qur’an; Komparatif; Penistaan Agama; Tripitaka.
ANALYSIS OF LOCAL WISDOM-BASED COLLABORATION SKILL INSTRUMENT (LWCSI) IN CIVICS FOR HIGHER EDUCATION
Authors: Tirza Juliana , Parwati Ni Nyoman , Dantes Gede Rasben , Suartama I Kadek
Published: July 2024

The ability to collaborate is highly important in the world of work and social life. This skill is related to the individual's ability to cooperate with others in achieving a goal. Several previous studies related to the development of collaboration ability instruments using visible dimensions as their pivot, such as aspects of performance outcomes and levels of interaction. However, some previous studies suggest that a person's ability to collaborate comes from within as well. Therefore, an instrument is needed to measure students' collaborative abilities in depth and adapt to the diverse Indonesian context, which is diverse in so many aspects. The researchers developed an instrument called the Local Wisdom-Based Collaboration Skills Instrument (LWCSI), which is an instrument that measures students' collaboration abilities but is adapted to the context of Indonesia which is Godly and diverse in culture. The population in this study consisted of 166 students who took civics education classes in the short semester of 2022/2023. To determine the validity, the df value used is (166-2) = 164 with an α value of 0.05. The R-table value obtained is 0.1281. From the table the R-count is greater than the R-table, so it can be concluded that all items are valid. The number shows 0.06 so it can be concluded that the LWCSI instrument is reliable and can be utilized to measure student collaboration skills based on local wisdom. Therefore, it can be concluded that this instrument is able to measure the collaboration skills of students with a variety of beliefs and cultures, especially in Indonesia that have a large and diverse population.
An automated Pipeline to bring NeRFs to the Industrial Metaverse
Authors: Schleise Sabine ,   SICK AG, Hahne Uwe , Lindinger Jakob ,   Hochschule Furtwangen,   SICK AG
Published: July 2024

The Industrial Metaverse offers new opportunities in various industrial sectors, such as training, product development, and collaboration. It relies on rendering 3D images of industrial plants, factories, and machines that are viewed by multiple human observers in various applications. Creating these 3D scenes requires either elaborate 3D modeling efforts or complex 3D reconstruction methods. Both methods require expensive hardware and highly trained individuals to create photo-realistic results. To overcome these limitations, we offer an end-to-end pipeline that generates photo-realistic 3D scene renderings from video input using NeRF (neural radiance fields). Our tool automates the entire process, resulting in remarkable efficiency gains. It reduces the creation time from days to minutes, even for untrained users.
Segmentation of discrete surfaces into plane segments based on a distance map
Authors: La Rochelle Loic Drieu ,   Université de Poitiers, Univ. Limoges, Zrour Rita , Largeteau-Skapin Gaëlle , Andres Eric , Tankyevych Olena , Le Rest Catherine Cheze ,   Université de Poitiers, Univ. Limoges,   Université de Poitiers, Univ. Limoges,   Université de Poitiers, Univ. Limoges,   Centre Hospitalier Universitaire de Poitiers,   Centre Hospitalier Universitaire de Poitiers
Published: July 2024

In this paper, we present a method for segmenting 3D digital objects into discrete plane segments. This segmentation is the first step in obtaining a polyhedization of a discrete object with the property of reversibility. This constraint requires that the discretization result for polyhedrization be exactly the same as the initial set of points. One of our objectives is to reduce the number of planes in our segmentation, and achieve more efficient surface analysis algorithms. In 3D space, direction and starting point are common issues. Our method attempts to achieve segmentation by considering surfels one after the other and agglomerating them with their neighbors based on a distance ranking. This method enables the recognition of critical points on the boundary of a plane segment. A medical application is illustrated by the presentation of a tumor segmentation.
Measuring the Influence of Alcohol Consumption on Presence in Virtual Reality
Authors: Genz Fabio ,   MNM-Team, LMU München, Dreer Fabian , Krötz Florian , D’Amelio Marco , Kranzlmüller Dieter ,   MNM-Team, LMU München,   MNM-Team, LMU München,   LMU München,   MNM-Team, LMU München
Published: July 2024

We examine the influence of alcohol consumption on presence in Virtual Reality (VR) with both subjective and objective data. To measure the level of presence in VR we propose a method using four self-developed indicators, two subjective (Flow, Subjective Behaviour) and two objective ones (Objective Behaviour, Performance). To assess the validity of our method, we conducted a user study (n = 20). Although results show no significant correlations, we reveal two potential research gaps regarding the general threshold for measurable effects of alcohol consumption in VR and eventual gender differences. Besides the two research gaps, we show three further approaches for future work.
Color Quality Comparison in Spectrally (Un)Correlated Random Field Models
Authors: Havlicek Michal ,   Institute of Information Theory and Automation, Czech Academy of Sciences, Haindl Michal ,   Institute of Information Theory and Automation, Czech Academy of Sciences
Published: July 2024

We inspect the ability to reproduce spectral (color) composition in random field-based texture models, test when it can neglect spectral correlation, and simplify these random models without visibly depreciating their visual quality. These probabilistic models present essential two or three-dimensional factors for modeling seven-dimensional Bidirectional Texture Function (BTF) - the most advanced representation currently used in real-world material visual properties modeling. They can seamlessly approximate original measured massive data and extend them to an arbitrary size or simulate unmeasured ones. Using extensive test data sets and a small set of setup control parameters, these models reach a vast compression ratio while maintaining the visual quality of measurements, and thus, they are the only viable alternative for BTF practical usage.
3D Multi-Criteria Design Generation and Optimization of an Engine Mount for an Unmanned Air Vehicle Using a Conditional Variational Autoencoder
Authors: Eilermann Sebastian ,   Helmut-Schmidt University, Petroll Christoph , Hoefer Philipp , Niggemann Oliver ,   University of the Bundeswehr Munich,   University of the Bundeswehr Munich,   Helmut-Schmidt University
Published: July 2024

One of the most promising developments in computer vision in recent years is the use of generative neural networks for functionality condition-based 3D design reconstruction and generation. Here, neural networks learn dependencies between functionalities and a geometry in a very effective way. For a neural network the functionalities are translated in conditions to a certain geometry. But the more conditions the design generation needs to reflect, the more difficult it is to learn clear dependencies. This leads to a multi criteria design problem due various conditions, which are not considered in the neural network structure so far. In this paper, we address this multi-criteria challenge for a 3D design use case related to an unmanned aerial vehicle (UAV) motor mount. We generate 10,000 abstract 3D designs and subject them all to simulations for three physical disciplines: mechanics, thermodynamics, and aerodynamics. Then, we train a Conditional Variational Autoencoder (CVAE) using the geometry and corresponding multicriteria functional constraints as input. We use our trained CVAE as well as the Marching cubes algorithm to generate meshes for simulation based evaluation. The results are then evaluated with the generated UAV designs. Subsequently, we demonstrate the ability to generate optimized designs under self-defined functionality conditions using the trained neural network.
AI-based Density Recognition
Authors: Müller Simone ,   Leibniz Supercomputing Centre, Kolb Daniel , Müller Matthias , Kranzlmüller Dieter ,   Leibniz Supercomputing Centre,   German Aerospace Center,   Ludwig-Maximilians-Universität
Published: July 2024

Learning-based analysis of images is commonly used in the fields of mobility and robotics for safe environmental motion and interaction. This requires not only object recognition but also the assignment of certain properties to them. Causally related actions can be adapted to different circumstances from this information. Such logical interactions can be optimized by recognizing object-assigned properties. Density as a physical property offers the possibility to recognize how heavy an object is, which material it is made of, which forces are acting, and consequently which influence it has on its environment. Our approach introduces an AI-based concept for assigning physical properties to objects through the use of images. Based on synthesized data, we derive specific patterns from 2D images using a neural network to extract further information such as volume, material, or density. Accordingly, we discuss the possibilities of property-based feature extraction to improve causally related logics.
Cocoa beans moisture content prediction using Machine Learning Model based on the color image features
Authors: AKO Joel E. ,   Institut National Polytechnique Félix Houphouët Boigny (INP-HB), Unité Mixte de Recherche et d’innovation (UMRI) en Science des Technologies d’Ingenieur (STI), N’ZI Camille E. , KPALMA Kidiyo ,   Univ Rennes, CNRS, Institut National des Sciences Appliquées (INSA), IETR (Institut d’Electronique et des Technologies du numéRique),   Institut National Polytechnique Félix Houphouët Boigny (INP-HB), Unité Mixte de Recherche et d’innovation (UMRI) en Science des Technologies d’Ingenieur (STI),   Univ Rennes, CNRS, Institut National des Sciences Appliquées (INSA), IETR (Institut d’Electronique et des Technologies du numéRique)
Published: July 2024

The aim of this article is to investigate the possibility of modeling the moisture content of cocoa beans as a function of RGB images features of unshelled cocoa beans. Features are extracted by calculating mean, standard deviation, energy, entropy, kurtosis and skewness of the components of the rgb (RGB normalized), HSV, L*a*b*, YCbCr color spaces without the brightness components. These features are extracted from 4 types of samples, namely 10, 30, 50 and 70 bean samples per image. Feature analysis using the F-test and RReliefF methods shows that the features based on the energy and entropy of the components rg, yb, Cr, Cb, a*, b* and h* are fairly relevant for predicting the water content of cocoa beans. However, they are highly correlated. The selected predictors allow the analysis of linear models, such as Multiple Linear Regression (MLR), Ridge Regression (RR), PLS Regression (PLSR) and non-linear models, such as polynomial, Support Vector Regression (SVR) with RBF kernel, Decision Trees Regression (DTR). With the exception of RR and PLSR, the other models were preceded by a principal component analysis (PCA) to handle the collinearity problem. The non-linear models give good predictions, with coefficients of determination R2 ranging from 0.95 to 0.98 and RMSE from 2.31 to 4.08. The regularization and penalization method is more better for handling multi-colinearity between predictors. It is therefore possible to predict the moisture content of cocoa beans from the features of RGB images. However, the prediction of new data from the models designed is still problematic.
Deep learning-based classification of breast tumors using selected subregions of lesions in sonograms
Authors: Schmidt Christian ,   Westfälische Hochschule, University of Applied Sciences, Overhoff Heinrich Martin ,   Westfälische Hochschule, University of Applied Sciences
Published: July 2024

Breast cancer, a prevalent disease among women, demands early detection for better clinical outcomes. While mammography is widely used for breast cancer screening, its limitation in e.g., dense breast tissue necessitates additional diagnostic tools. Ultrasound breast imaging provides valuable tumor information (features) which are used for standardized reporting, aiding in the screening process and precise biopsy targeting. Previous studies have demonstrated that the classification of regions of interest (ROIs), including only the lesion, outperforms whole image classification. Therefore, our objective is to identify essential lesion features within such ROIs, which are sufficient for accurate tumor classification, enhancing the robustness of diagnostic image acquisition. For our experiments, we employ convolutional neural networks (CNNs) to first segment suspicious lesions" ROIs. In a second step, we generate different ROI subregions: top/bottom half, horizontal subslices and ROIs with cropped-out center areas. Subsequently these ROI subregions are classified into benign vs. malignant lesions with a second CNN. Our results indicate that outermost ROI subslices perform better than inner ones, likely due to increased contour visibility. Removing the inner 66% of the ROI did not significantly impact classification outcomes (p = 0.35). Classifying half ROIs did not negatively impact accuracy compared to whole ROIs, with bottom ROI performing slightly better than top ROI, despite significantly lower image contrast in that region. Therefore, even visually less favorable images can be reliably analyzed when the lesion"s contour is depicted. In conclusion, our study underscores the importance of understanding tumor features in ultrasound imaging, supporting enhanced diagnostic approaches to improve breast cancer detection and management.
LVCluster: Bounded Clustering using Laguerre Voronoi Diagram
Authors: Ohi Abu Quwsar ,   University of Calgary, Gavrilova Marina L. ,   University of Calgary
Published: July 2024

Clustering, a fundamental technique in unsupervised learning, identifies similar groups within a dataset. However, clustering algorithms encounter limitations when requiring a predetermined number of clusters/centroids/labels. This paper proposes a novel approach of clustering by integrating concepts from Voronoi diagrams in Laguerre geometry, namely, Laguerre Voronoi Clustering (LVCluster). Laguerre geometry introduces circles by adding radius weight metric to centroids, enabling dynamic exclusion from clustering criteria. Consequently, this approach offers flexibility by necessitating only one hyperparameter, an upper-bound value for the number of circles. LVCluster can be optimized using gradient descent and can be jointly optimized with deep neural network architectures. The experimental results indicated that LVCluster outperforms clustering algorithms when trained individually and jointly with deep neural networks on increased cluster centroids.
From Sources to Solutions: Enhancing Object Detection Models through Synthetic Data
Authors: Bartolovic Eduard ,   Munich University of Applied Sciences, Höfer Tobias , Hage Clemens , Nischwitz Alfred ,   Munich University of Applied Sciences,   BSH Hausgeräte GmbH,   Munich University of Applied Sciences
Published: July 2024

Object detection, a fundamental task in computer vision, plays a crucial role in various applications such as autonomous driving, surveillance, and robotics. However, training models for this task require vast amounts of high-quality data, often involving labor-intensive manual labeling. Synthetic data, a promising alternative, remains an active area of research. This paper presents a comprehensive exploration of different object sources for the use of synthetic data in enhancing object detection models. We investigate various synthetic data generation techniques to implant objects into a scene, with a focus on enhancing training data diversity. These objects are either gathered from the training dataset itself using SegmentAnything [1] as a new supervised self augmentation technique or imported from external sources, including a photobox with a rotating table and web scraping of online shops. Moreover, our study delves into the development of a placement logic that gradually evolves from placing objects randomly to placing objects in physically correct orientations to mimic the real world data. We investigate the use of different blending techniques. The outcome of our study demonstrates that synthetic images, when integrated with an existing real training set, substantially improve the object recognition accuracy of the model without compromising inference time. Our code can be found at https://github.com/EduardBartolovic/synthetic-data-generation
LatEd: A Geometric Latent Vector Editor
Authors: Komar Alexander ,   Institute of Computer Graphics and Knowledge Visualisation, Graz University of Technology, Austria, Kammerer Michael , Khalilsaraei Saeedeh Barzegar , Augsdörfer Ursula ,   Institute of Computer Graphics and Knowledge Visualisation, Graz University of Technology, Austria,   Institute of Computer Graphics and Knowledge Visualisation, Graz University of Technology, Austria,   Institute of Computer Graphics and Knowledge Visualisation, Graz University of Technology, Austria
Published: July 2024

Using a neural network approach, a shape may be compressed to a one-dimensional vector, the so-called latent dimension or latent vector. This latent shape dimension is examined in this paper. This latent vector of a shape is used to identify the corresponding shape in a database. Two types of networks are evaluated in terms of lookup accuracy and reconstruction quality using a database of Lego pieces. Even with small training set a reasonable robustness to rotation and translation of the shapes was achieved. While a human can interpret uncompressed data just fine, the compressed values of the network might be cryptic and thus offer no insight regarding the uncompressed input. Therefore, we introduce a latent dimension editor which allows the user to examine the geometry content of the latent vector and its influence on the decoded shape. The latent vector editor enables the visual exploration of the latent vector, by making changes to the latent vector visible in real-time via a 3D visualization of the reconstructed object.
Brain Computer Interfacing with a Virtual Environment
Authors: Gamillscheg Florian ,   Institute of Computer Graphics and Knowledge Visualisation, Graz University of Technology, Austria, Ruprecht Irena , Settgast Volker , Pietroszek Krzysztof , Augsdörfer Ursula ,   Fraunhofer Austria, Graz, Austria,   Fraunhofer Austria, Graz, Austria,   American University, Washington D.C, USA,   Graz University of Technology, Austria
Published: July 2024

Virtual Reality applications constantly strive for more realism, immersion and intuitive user experiences. Traditional virtual reality controllers can hinder full immersion, since they form an additional barrier between the user"s thoughts or intentions and the virtual world. Brain computer interfaces have the potential to close this gap by enabling an immediate translation of human thoughts to commands that can be processed by a computer. We evaluate, whether an affordable brain computer interface device may be used for interacting with virtual reality environments. Our experiments revealed severe reliability issues as well as a general lack of intuitiveness with the device. In this paper, we present findings of our experiments when using a commercial brain computer interface device within our Cave Automatic Virtual Environment.
A Novel DWT-based Method for Image Sharpness Measure using Edge-related Frequency Components
Authors: Lee Yuan-Kang ,   Communication Engineering National Taiwan University, Ding Jian-Jiun ,   Communication Engineering National Taiwan University
Published: July 2024

In this paper, a novel no-reference image quality metric of sharpness is proposed. Our image quality metric is evaluated on two key attributes discerned during the assessment of image sharpness by the human visual system (HVS): 1. Image sharpness is principally contingent upon the salience of edges within the image. 2. With an increase in the decomposition level of the Discrete Wavelet Transform (DWT), the high-frequency coefficients correspond to higher spatial frequency information in an image. Experimental results show that in comparison to other state-of-the-art metrics, our method not only accurately assesses image sharpness in both defocus and motion blur scenarios but also showcases superior precision and broader applicability.
The Disease of the Canine Eye - From Image to Diagnosis Using AI
Authors: Buric Matija ,   Faculty of Informatics and Digital Technologies and Centre for Artificial Intelligence, University of Rijeka
Published: July 2024

Computer vision models and large language models achieve excellent results on general-purpose images, so the goal of our research is to use them as an aid in making diagnoses within veterinary medicine. The paper proposes a methodology based on the U-Net network, which is fine-tuned for the precise segmentation of eye disease areas to help diagnose eye diseases in dogs. The paper defines three models based on the U-Net architecture, standard and with the well-known CNN networks ResNet, Inception and EfficientNet as backbones, which were trained to classify eye diseases into 4 classes. All architectures with backbones significantly exceed the segmentation results compared to the standard architecture, and the best average results according to the Jaccard index of 66.6% is achieved by U-Net with ResNet34. Then, the segmentation results were used as input to the LLM model, which was used to interpret these symptoms and make a preliminary diagnosis. The implementation of LLMs includes two iterations of ChatGPT, Mistral, Bard, Claude and Llama-2, which combine image segmentation and textual descriptions of symptoms. Based on 15 sets of symptoms that are generated as a combination of 1 to 4 individual symptoms of eye diseases, they make a diagnosis. The paper analyzed and compared the results of the classification of LLM models and highlighted the relative advantages and limitations characteristic of each LLM.
PENINGKATAN POTENSI PEMASARAN BENGKEL DLWK DENGAN PELATIHAN DAN PERANCANGAN STRATEGI PEMASARAN
Authors: Lestari Alvera Sinta , Wawolangi Kristian Yosua , Adriel Nicholas , M. Djae Zaim Katarabumi , Halim Winda , Leony Florence , Christina Christina , Hermawan Melina , Elizabeth Elizabeth
Published: July 2024

Pemberdayaan Usaha Mikro Kecil dan Menengah (UMKM) sangat penting karena UMKM merupakan salah satu penopang perekonomian negara. Jenis dan bidang usaha yang dimiliki oleh UMKM sangat beragam, mulai dari bidang yang menghasilkan barang hingga jasa. Salah satu UMKM yang bergerak dalam bidang jasa adalah bengkel. Bengkel yang menjadi mitra adalah bengkel yang berlokasi di daerah Cibogo Bandung yang dikelola oleh sepasang suami istri dengan 2 orang staf yang membantu. Kendala yang dimiliki oleh UMKM ini adalah lokasi yang kurang strategis dan pemilik memiliki keinginan untuk memperkenalkan bengkelnya secara lebih luas. Berdasarkan kebutuhan yang dimiliki oleh mitra maka tim pengabdi berusaha membantu dengan melakukan beberapa hal, antara lain melakukan rebranding terhadap nama bengkel yang semula bernama Bengkel DLWK menjadi New DLWK Racing Team, sehingga nama bengkel menjadi lebih komersial. Selain itu, diusulkan juga untuk pembuatan topi, sticker, dan banner untuk lebih memperkenalkan bengkel tersebut saat mengikuti event tertentu. Pelatihan lebih lanjut juga dilakukan untuk mengembangkan media sosial Instagram yang telah mereka miliki dengan jumlah pengikut yang cukup banyak. Selain itu, juga dilakukan pemberian usulan untuk membuat media sosial lainnya seperti pembuatan konten pada Youtube, Tik Tok, Facebook, dan Whatsapp.
PENDAMPINGAN FORMULASI PUPUK ORGANIK PADAT LIMBAH SAWIT PADA KELOMPOK PETANI MILENIAL (DESA TABUR LESTARI, SEI MENGGARIS, NUNUKAN, KALIMANTAN UTARA)
Authors: Agustin Heny
Published: July 2024

Program kolaborasi masyarakat antara PT. Nunukan Bara Sentosa Satu (NBSS) dengan guru-guru di SMK N 1 Sei Menggaris menghasilkan kelompok petani milenial yang mampu berinovasi membuat pupuk organik Tricolid dari bahan dasar limbah kelapa sawit di Desa Tabur Lestari, Sei Menggaris, Nunukan, Kalimantan Utara. Inovasi tersebut perlu diuji agar memenuhi standar teknis minimal sebagai pupuk organik sesuai dengan peraturan Kementrian Pertanian. Pendampingan uji formulasi pupuk dilakukan bersama Universitas Trilogi agar pupuk organik yang telah dibuat dapat dikembangkan secara komersial dengan standar peraturan yang ada. Pendampingan dilakukan pada Juli-November 2022. Tahapan persiapan dan koordinasi dilakukan dengan diskusi terkait materi pelatihan serta pengecekan unsur hara pupuk Tricolid secara cepat melalui uji PUPO. Tahapan implementasi dilakukan dengan menganalisis pembuatan formulasi pupuk untuk memenuhi standar, selain juga memberikan pembekalan materi terkait dengan pertanian organik. Tahap monitoring dan evaluasi dilakukan dengan mengukur hasil pemahaman pengetahuan terkait pertanian organik mitra sebelum dan setelah pelatihan serta menganalisis formulasi hasil uji pupuk yang dilakukan di laboratorium. Hasil pendampingan menunjukkan adanya peningkatan pengetahuan sebesar 30% lebih tinggi oleh mitra tentang pengetahuan pertanian organik setelah adanya pembekalan materi. Hasil uji formulasi pupuk menunjukkan bahwa perlakuan 2 dan 4 dapat dijadikan rekomendasi bagi pengembangan produksi pupuk Tricolid milik mitra, dengan penambahan perlakuan pengeringan agar kadar air pupuk sesuai standar Kementrian Pertanian.
PELATIHAN PENGELASAN SEBAGAI UPAYA PENINGKATAN PRODUKTIFITAS BAGI PEMUDA USIA KERJA DESA OETETA KABUPATEN KUPANG
Authors: Mau Sealtial , Fahrizal Fahrizal , Suprapto Edy , Priyono Priyono , K Basri , Bianome Wofrid E , Passu Ahas Weros , Dima Adid Balle
Published: July 2024

Pengembangan pemukiman penduduk telah merampas sebagian besar lahan yang biasa dikelola untuk pertanian dan peternakan tidak terkecuali Desa Oeteta, Kabupaten Kupang-Nusa Tenggara Timur. Hal ini mengakibatkan perlu adanya keahlian baru bagi pemuda usia kerja agar terciptanya lapangan kerja baru dibidang jasa. Tujuan dilakukan kajian ini adalah untuk membekali pemuda usia kerja dengan keahlian las untuk menghindari kesenjangan sosial yang rentan terjadi. Metode yang digunakan dalam kajian ini adalah sosialisasi dan pelatihan terkait skill dasar pengelasan dan pengenalan peralatan serta praktek pengelasan. Sejalan dengan itu, peserta juga dibekali dengan pemahaman tentang kesehatan dan keselamatan kerja sebagai pedoman dalam bekerja. Dari pelatihan yang berlangsung diperoleh beberapa informasi bahwa masyarakat yang merupakan pemuda usia kerja cukup antusias untuk dibekali dengan skill pengelasan serta berkomitmen untuk berinovasi dan dikembangkan.
PENGUATAN LEMBAGA KEMASYARAKATAN DALAM MEMBANTU TUGAS PEMERINTAHAN DI KAMPUNG MUKIM SINGKIR YAN KEDAH, MALAYSIA
Authors: Rauf Rahyunir
Published: July 2024

Kebutuhan dan dinamika masyarakat yang kompleks tentu menjadi pekerjaan yang cukup berat bagi pemerintah sehingga pemerintah membutuhkan mitra dalam membantu tugas pemerintahan adapun unsur yang dibentuk yaitu Lembaga kemasyarakatan. Namun masih terbatasnya sumber daya yang dimiliki oleh Lembaga kemasyarakatan dalam membantu tugas pemerintah atau sebagai mitra pemerintah. Dari isu tersebut Tim Pengabdian Kepada Masyarakat (PKM) Universitas Islam Riau (UIR) bekerjasama dengan Universiti Utara Malaysia (UUM) dan Pemerintah Mukim Yan District Negeri Kedah, Malaysia membuat program kegiatan dengan tema penguatan Lembaga kemasyarakatan dalam membatu tugas pemerintahan di Mukim Singkir Yan Kedah, malaysia. Kegiatan Pengabdian yang dilakukan dalam bentuk penyuluhan dengan penyampaian materi tanya jawab, dan konsultasi. Manfaat dari kegiatan pengabdian bagi unsur pemerintah dan Lembaga kemasyarakatan yaitu membantu pemerintah dalam merumuskan program pengembangan Lembaga kemasyarakatan, manfaat bagi masyarakat yaitu masyarakat menjadi memahami keberadaan Lembaga kemayarakan sebagai wadah aspirasi masyarakat dalam pembangunan, sedangkan manfaat akademik yaitu dapat di integrasikan kedalam bahan ajar. Kata Kunci: Lembaga Kemasyarakatan; Penguatan; Mitra Pemerintah; Tugas Pemerintahan.