36 research outputs found
A knowledge graph embeddings based approach for author name disambiguation using literals
Scholarly data is growing continuously containing information about the articles from a plethora of venues including conferences, journals, etc. Many initiatives have been taken to make scholarly data available in the form of Knowledge Graphs (KGs). These efforts to standardize these data and make them accessible have also led to many challenges such as exploration of scholarly articles, ambiguous authors, etc. This study more specifically targets the problem of Author Name Disambiguation (AND) on Scholarly KGs and presents a novel framework, Literally Author Name Disambiguation (LAND), which utilizes Knowledge Graph Embeddings (KGEs) using multimodal literal information generated from these KGs. This framework is based on three components: (1) multimodal KGEs, (2) a blocking procedure, and finally, (3) hierarchical Agglomerative Clustering. Extensive experiments have been conducted on two newly created KGs: (i) KG containing information from Scientometrics Journal from 1978 onwards (OC-782K), and (ii) a KG extracted from a well-known benchmark for AND provided by AMiner (AMiner-534K). The results show that our proposed architecture outperforms our baselines of 8–14% in terms of F1 score and shows competitive performances on a challenging benchmark such as AMiner. The code and the datasets are publicly available through Github (https://github.com/sntcristian/and-kge) and Zenodo (https://doi.org/10.5281/zenodo.6309855) respectively
Knowledge graphs: Introduction, history, and perspectives
The term knowledge graph (KG) has gained several different meanings across a range of usage scenarios. This paper focuses on the use of KGs in the context of two important current trends: the desire and need to harness the large and diverse data that are now available and the advent of new machine learning capabilities for extracting meaning from unstructured text and images. It provides the authors’ perspective on this area and tracks recent efforts in the NSF Convergence Accelerator Track A on Open Knowledge Network (OKN), where the first author was a participant in one of the projects (Baru el al. 2022). All coauthors were speakers in a graduate seminar on KGs at Stanford University, coorganized by the first author, which featured presentations by over 50 speakers1. This article strives to provide a synthesis of those diverse perspectives—rather than being an exhaustive survey of the topic area.Knowledge graphs (KGs) have emerged as a compelling abstraction for organizing the world's structured knowledge and for integrating information extracted from multiple data sources. They are also beginning to play a central role in representing information extracted by AI systems, and for improving the predictions of AI systems by giving them knowledge expressed in KGs as input. The goals of this article are to (a) introduce KGs and discuss important areas of application that have gained recent prominence; (b) situate KGs in the context of the prior work in AI; and (c) present a few contrasting perspectives that help in better understanding KGs in relation to related technologies.NS
Rancang Bangun Sistem Monitoring Kecepatan dan Arah Mata Angin Berbasis Internet of Things
Salah satu fasilitas yang wajib dimiliki oleh bandar udara untuk mewujudkan keselamatan penerbangan adalah windsock yang berfungsi sebagai indikator arah mata angin dan kecepatan angin yang akan menjadi dasar untuk menentukan arah pesawat pada saat Landing atau Takeoff di bandar udara. Fasilitas ini biasanya dipasang pada area bandar udara yang dapat dilihat dengan jelas oleh petugas Air Traffic Controller (ATC). Untuk melakukan pengamatan windscok saat ini masih dilakukan secara manual, sehingga sering mengalami gangguan jarak pandang yang kurang baik ketika terjadi cuaca buruk dikarena posisi ATC (Tower) dengan letak windsock cukup jauh. Perkembangan teknologi IoT saat ini semakin banyak diterapkan dalam berbagai bidang kehidupan. dengan menggunakan beberapa komponen Arduino Nano sebagai pengolah data, Anemometer sebagai sensor kecepatan angin, Hall Effect sebagai sensor arah angin dan modul Wifi ESP-01 sebagai media komunikasi data dari arduino ke webserver, Monitoring dapat dilakukan secara langsung melalui LCD dan secara online melalui Aplikasi Blynk menggunakan PC/Smartphone, dengan durasi waktu pengiriman data rata-rata 2,1 detik
Electrical distribution system efficiency and effectiveness with simple mathematics at the Indonesian aviation Polytechnic of Curug
Indonesian Aviation Polytechnic of Curug (PPI Curug) uses power from PLN of 3 Mega Watts. Since the beginning implementation of the electrical system at the PPI Curug Campus, adjustments have never been made. The additions of a new distribution system did not go through careful planning, this can be shown by the data that until now there are still buildings at PPI Curug which are supplied with a voltage of 110 V per phase. Upgrading the electrical system in several buildings that are supplied with a voltage of 110 V per phase has been carried out slowly through the adjustment mechanism of the electrical installation in these buildings, and has not yet touched on the distribution system. The large number of power transformers turned out to be not proportional to the power supply borne by each transformer, and overall none of the transformers was burdened more than 40% of the nominal load. On the other hand, the number of electricity subscription bills paid by PPI Curug has increased from year to year. This study aims to determine whether the electricity distribution system used at PPI Curug is currently effective and efficient and to determine an effective and efficient electricity distribution system based on the characteristics of the area and type of load at PPI Curug. The research method used is an evaluative qualitative method which will describe the condition of the distribution system and installation at PPI Curug, then evaluate it based on existing standards. The differences that exist between the real conditions in the field and the existing standards will be used as conclusions and suggestions for improvements. The results showed that the percentage value of the efficiency of all transformers showed a value of 95% so that the efficiency of the transformer at PPI Curug was categorized as good, but the condition that there was still a large amount of unused power needed to anticipate the use of electrical power beyond the requirement
Rancangan Desain Instalasi Penyalur Petir di Gedung Substation 8 Bandara Sultan Mahmud Badaruddin II Palembang
Gedung substation 8 digunakan untuk mensuplai tenaga listrik ke BMKG, belum memiliki instalasi penyalur petir (hilang). Sehingga dirancang instalasi penyalur petir pada gedung tersebut. Rancangan ini menghasilkan perhitungan dalam menentukan tingkat proteksi dari gedung substation 8. Instalasi penyalur petir yang dirancang adalah penyalur petir franklin dengan metode proteksi bola gulir dan sistem grounding menggunakan driven rod. Nilai dari indeks R gedung substation 8 adalah sebesar 13. Nilai Ng adalah sebesar 22,0529 sambaran per km²/tahun, nilai Ae sebesar 1152,3 m², nilai Nd sebesar 0,0127 sambaran/tahun dan nilai Nc sebesar 0,0006. Nilai efisiensi (E) sebesar 0,95 (95 %) dengan tingkat proteksi yaitu level II. Radius proteksi dari metode bola gulir adalah 30 m. Sistem grounding dengan memparalelkan 3 batang grounding sedalam 6 meter dan mendapatkan tahanan grounding sebesar 0,74 ? berdasarkan perhitungan
RANCANGAN PEMASANGAN KAPASITOR BANK PADA PANEL LVMDP OUGOING TRANSFORMATOR SATU BANDAR UDARA INTERNASIONAL HALIM PERDANAKUSUMA
Bandar Udara Internasional Halim Perdanakusuma untuk menunjang fasilitas listrik, disuplai oleh PT. Perusahaan Listrik Negara (PLN) dengan tegangan listrik sebesar 20 KV serta langganan daya 3500 KVA. Namun, adanya beban induktif yang digunakan pada transformator satu seperti pump house utama dan UPS AFL menyebabkan berkurangnya kualitas daya listrik karena memiliki faktor daya rendah sebesar 0.81. Hal itu tidak memenuhi standar SPLN 70-1 dan berdampak pada kapasitas pembebanan transformator yang tidak optimal. Penelitian ini bertujuan untuk merancang pemasangan kapasitor bank di panel LVMDP outgoing transformator satu guna meningkatkan faktor daya dan mengoptimalkan kapasitas pembebanan transformator. Metode penelitian yang digunakan yaitu R&D level satu. Analisis data yang dilakukan dengan menghitung kapasitas kapasitor bank yang dibutuhkan, membandingkan step kapasitor bank yang digunakan, dan menentukan komponen kapasitor bank. Dari hasil analisis yang telah dilakukan, kapasitas kapasitor bank yang dibutuhkan sebesar 80 KVAR. Untuk step kapasitor bank yang digunakan menggunakan delapan step karena total biaya komponen lebih murah. Penggunaan kapasitor bank 80 KVAR disimulasikan menggunakan software ETAP 19.01. Pada software ETAP 19.01 membuktikan bahwa pemasangan kapasitor bank 80 KVAR, dapat meningkatkan nilai faktor daya menjadi 0,99 yang berdampak pada peningkatan kapasitas pembebanan transformator
Water Detection Sensor for Generator Set’s Fuel Tank
This design of the water contamination sensor system for the diesel generator set’s fuel tank combines an ultrasonic sensor, a TDS sensor, ESP 32 microcontrollers, and a monitoring application. An ultrasonic sensor measures the level of fuel in the tank. TDS sensor detects the Total Dissolved Solids (TDS) levels in the fuel which can be used to indicate submerged water. An ESP 32 microcontroller functions as a control center and processor that send the fuel level data and water existence data to the application database. The monitoring application would display the information of water existence by two colors indicator. If water is detected in the fuel tank, the indicator in the application would be yellow. If there is no water detected, the indicator would be blue. Then, the volume of the fuel would be displayed in liters and percentages. After testing, the system could read and display the volume of diesel fuel and the existence of water in the tank when the minimum level of the fluids was 5 mm
Rancang Bangun Sistem Monitoring Serta Kendali Suhu dan Kelembaban pada Ruang Server Berbasis Arduino
Ruang server memiliki peranan yang sangat penting karena merupakan ruang utama sebagai tempat untuk menyimpan server dan sistem jaringan yang terhubung dengan perangkat operasional. untuk menunjang kinerja perangkat tersebut salah satu hal yang perlu diperhatikan adalah kondisi suhu dan kelembaban di ruangan tersebut. Dengan perkembangan teknologi maka salah satu solusi yang bisa dilakukan adalah menerapkan sistem kontrol dan monitoring dengan menggabungkan antara perangkat lunak dan perangkat keras yang dimanfaatkan sebagia media pengoperasian Air Conditioner (AC) dan Dehumidifier, yang dilakukan secara otomatis menggunakan arduino uno R3 dan wemos D1 mini dengan menambahkan sensor DTH 11 di ruangan. Sistem ini dapat bekerja secara realtime melalui website yang dapat diakses melalui komputer. Dengan adanya sistem kontrol dan monitoring ini maka suhu dan kelembaban pada ruang server akan selalu tetap terjaga pada sesuai kondisi yang telah ditentukan
Dynamics of Police, Prosecutor, and Court Collaboration in Online Data Storage and Case Filing
This research explores the dynamics of collaboration between the Police, Prosecutors, and Courts in the context of data storage and case filing moving to an online format. The growth of information technology has driven this shift, but implementation has not always been smooth. Through a process analysis approach, this research aims to uncover the factors that influence such collaboration and its impact on the efficiency and success of law enforcement. The research methods used include case studies, surveys, and qualitative data analysis. The results highlighted the challenges and barriers faced in the implementation of the online-based system, including technical, legal, and organizational culture aspects. Based on the results of the analysis, the author concludes the need to develop a more efficient and adaptive collaboration model to support digital transformation in law enforcement in the modern era, considering the complexity and dynamics of inter-agency relationships
Cardio-metabolic effects of one hundred hours of exoskeletal-assisted walking in individuals with spinal cord injury
The prevalence of cardiovascular disease (CVD) is significantly higher in individuals with spinal cord injury (SCI) compared to able-bodied counterparts. Current upper body aerobic exercise modalities, such as arm crank ergometry and rowing, offer limited benefits to significantly improve CVD risk factors in SCI. While upright exoskeletal-assisted walking (EAW), improves cardiorespiratory fitness, its effects on CVD risk in SCI remain uncertain. This study aims to assess the impact of an EAW program on body composition and lipid profile in individuals with chronic incomplete SCI. Dual-energy x-ray absorptiometry obtained fat mass and lean mass measurements. Overnight fasted blood draws were analyzed for lipid profile parameters (High Density Lipoprotein Cholesterol, Low Density Lipoprotein Cholesterol; LDL-c, triglycerides, & total cholesterol). All outcome measures were collected at three points, baseline, 50-hours, and 100-hours. A linear mixed model and clinically significant changes (5% reduction for total body fat mass and 10% reduction for total LDL-c), were utilized to observe group and within-subject effects. Findings from 19 participants (13 paraplegia, 6 tetraplegia, & average body mass index 43.4 ± 6.0 kg/m²) yielded significant reductions in total body fat mass (0.70 ± 2.66 kgs, p = 0.047) and arm fat mass (0.11 ± 0.36 kgs, p = 0.042) post 100-hour EAW intervention. Clinically significant changes in total body fat mass were present in one third of participants (7/19). Of these participants, the majority had a paraplegia SCI (6/7) and a lower extremity motor score of 11 or higher (5/7). For lipid changes, 10 participants showed clinically significant improvements, with most of them also having paraplegia SCI (7/10) and a lower extremity motor score of 11 or higher (6/10). Statistical differences in pattern of change were found by level of injury (total body fat mass, total cholesterol, & LDL-c), lower extremity motor score (Visceral adipose tissue, leg lean mass, & total cholesterol), and time since SCI (High Density Lipoprotein Cholesterol). Findings of the present investigation demonstrate that EAW can contribute to the improvement of risks associated with CVD. The significant differences in pattern of change between subgroups support further investigating the implications of EAW across SCI subgroups for promoting optimal cardiovascular health across individuals with SCI.Ph.D.Includes bibliographical referencesIncludes vit
