bluuebunny/crossref_metadata_2025_split huggingface dataset:
MILAD: Robust Anomaly Detection for Electric Vehicles with Label Noise
Authors: Ye Yu , Feng Bailin , Tao Wujun 
Published: December 2021

Abstract
One of the bottlenecks restricting the development of electric vehicle industry is the safety problem. Although numerous of anomaly detection algorithms for electric vehicles have been proposed, most of them may perform poorly due to the complexity and unpredictability of real scenes. We consider that there may be a certain degree of potential safety hazard in the battery system of electric vehicles before, during and after the process of faults in the real scenes, that is, label noise. In order to solve this problem, we propose a Multi-Instance Learning based Anomaly Detection (MILAD) framework, to perform anomaly detection for electric vehicles with label noise problem. Extensive cross validation experiments fully verify that the framework can effectively detect the existence of abnormal conditions in the presence of label noise in multivariate time series data.
8th International Week of Science, Technology & Innovation (8th IWSTI)
Authors: Medina Delgado B , Pérez Velásquez , Torres-Ramírez J E , Sandoval Amador A , Dueñas L M , Calero C A , V-Niño E D 
Published: December 2021

The 8th International Week of Science, Technology, and Innovation (8th IWSTI) took place from 21 to 24 September de 2021, in the city of San José de Cúcuta, Colombia, and was organized by the Universidad Francisco de Paula Santander headquarters in San José de Cúcuta and Ocaña. The 8th IWSTI is aimed at the academic and scientific community and to the productive sectors of the region, and have a purpose are the dissemination of academic, and research works; moreover, promotes the exchange of experiences between researchers as well as the participation of the productive sectors in research, extension, technological development, and innovation activities for contribution to strengthening the relationship School-University-Company-State.
The 8th IWSTI generated spaces for the exchange experiences academic and scientific in different knowledge areas between students, teachers, entrepreneurs, and researchers from the United States of America, Mexico, Argentina, Chile, Perú, Venezuela, and Colombia. Additionally, during the 8th IWSTI, was held the V Interinstitutional Conference of Research Seedbeds, which has as the main goal to socialize the research proposals and research results, obtained in different areas of knowledge, by the Research Seedbeds of all Educational Institutions of Norte de Santander, SIES+, Colombia.
The organizing committee of the 8th IWSTI is extremely thankful to all participants for providing their valuable contributions as well as the reviewers for their recommendations and constructive criticism that help to improve the articles presented in this volume of proceedings. The articles refer to one of the following topics addressed in the 8th IWSTI: Modeling, Simulation, and Diagnostics, Physical-Mathematical Problems in Engineering, Characterization of Materials. Likewise, we like to thank the Universidad Francisco de Paula Santander (UFPS), and the Foundation of Researchers in Materials Science and Technology (FORISTOM), for all the support technical and logistical received.
Finally, the editor hopes that those interested in the area of research, technology, and innovation in sciences and engineering will enjoy reading this volume of the Journal of Physics: Conference Series (JPCS), which reflects a wide variety of current issues, contributing to the generation and transfer of knowledge, as well as to the strengthening of research in science and engineering in Colombia.

“Education and expression freedom for anyone”.

List of Organizing Committee, National Scientific Committee, International Scientific Committee, Logistic, Sponsor, Partners are available in this pdf.
Electronic rain meter for mobile sensor node using law of Torricelli
Authors: Gomez-Rojas J , Camargo L , Martinez E , Gasca M 
Published: December 2021

Abstract
Rain in a city can cause material damage and risk for the population, hence the importance of implementing prevention and mitigation measures. These measures must be taken based on the analysis of the data collected by networks of environmental sensors. The rainfall-meter is one of the instruments used to measure rain, these are designed to operate at a fixed point. Coverage of the entire area of a city requires the installation of several of these elements. This paper shows the development of an electronic rain gauge that can operate in motion applying the principles of fluid dynamics. Two stages are proposed for its elaboration. The first step is the design, construction and testing of the sensor and transducer for the rain gauge. In the second step, the rain gauge communication is implemented. For this, the internet of things technology is incorporated, and the network is designed to provide mobility. The main result is a prototype mobile electronic rain gauge with a measurement error of 8.5%. Besides, mathematical model for the sensor, algorithm for the transducer, and communications architecture are obtained. It can be concluded that, rainfall can be monitoring in a city with few sensitive units in motion.
Effect of layer thickness on anticorrosive performance of 316L steel coated with bismuth-titanium films
Authors: Garzón-Agudelo P A , Bautista-Ruiz J 
Published: December 2021

Abstract
Bismuth and titanium are elements with remarkable properties and applications in technological developments and in the field of biomedical engineering. The sol-gel method was used to form a bismuth-titanium system, which allowed to establish if it was possible to obtain films with anticorrosive properties on 316L stainless steel. The anticorrosive response was evaluated by means of Tafel curves, defining the parameters to obtain thin and functional films with good tribological properties. The coatings were obtained by the spin coating technique, varying the spin speeds from 3000 rpm to 5000 rpm with monolayer and bilayer systems. More positive values of corrosion potential were obtained when the steel is coated by the films, which implies a lower propensity to corrosion in saline medium, lower corrosion rates and higher potentials are reported for films with higher titanium content, likewise, better efficiency of the films with respect to the uncoated substrate is presented, the higher the titanium content and a strong influence between the calculated efficiencies and the centrifugation speeds is not observed.
Exact site-percolation probability on the square lattice
Authors: Mertens Stephan 
Published: December 2021

Abstract
We present an algorithm to compute the exact probability R

n
(p) for a site percolation cluster to span an n × n square lattice at occupancy p. The algorithm has time and space complexity O(λ

n
) with λ ≈ 2.6. It allows us to compute R

n
(p) up to n = 24. We use the data to compute estimates for the percolation threshold p
c that are several orders of magnitude more precise than estimates based on Monte-Carlo simulations.
Hydrophobic interactions in adsorption layers of nonionic and anionic SAS and their influence on technological indicators of drilling fluids
Authors: Lukanina Yu K , Khvatov A V , Sakharov P A , Belenko E V 
Published: December 2021

Abstract
During drilling, an important role is played by the ability of the used inhibiting, lubricating and other additives to drilling fluids to form dense, saturated adsorption layers (adlayers) on the contact surfaces. Of significant importance in the formation of saturated adlayers is the ability of hydrocarbon radicals of adsorbed SAS molecules to hydrophobic interactions, which lead to deeper lyophobization of the surface, providing high technological parameters of the drilling fluid.
Ecological state of alluvial soils of floodplain landscapes under conditions of local pollution by hydrocarbons (Western Siberia)
Authors: Nosova M V , Seredina Valentina P. , Rybin Alexander S. 
Published: December 2021

Abstract
The paper presents an analysis of field and experimental studies of the main physicochemical parameters of oil-contaminated soils of floodplain ecosystems of the middle taiga subzone of Western Siberia. The features and main regularities of their change in different pollution zones (epicenter - impact zone) are revealed. The state of the physicochemical parameters of technogenically contaminated soils is compared with background analogs. The most important groups of chemical compounds and elements that pose an environmental hazard are considered - oil and oil products, technogenic readily soluble salts (including their toxic compounds), the ways of their migration, transformation and accumulation in contaminated soils. General recommendations are given on the use of the discovered regularities in the technical maps of reclamation measures and the system for monitoring contaminated soils.
Side-scan sonar image processing: Seabed classification based on acoustic backscattering
Authors: Subarsyah  , Manik H M , Albab A 
Published: December 2021

Abstract
The smoothness of vessel traffic flow is the most important thing in the shipping industry of port. Traffic problems are commonly solved by development and maintenance programs. Seabed conditions in the port-channel should be known to be considered in port development and maintenance programs related to port efficiency, safety navigation, and berthing. The objective of this paper is to characterize seabed into several classes of geological features. The Seabed condition and characteristics are classified based on image processing of side scan sonar data. The image processing will extract pixel value parameters; intensity, entropy, and standard deviation. Classification use combination of these pixel view parameter to define each class. Seabed classification has been successfully carried out in Teluk Bayur Port and classified into five classes, sandy silt, silty sand, fine sand, coarse sand, and rocks or reefs. Indication of crack or shallow structure was also identified. These results of classification are necessary to verify by sediment sampling and visual inspection, and then it should be reclassified to become a valid classification.
Depositional sequence interpretation using seismic and well data of offshore Central Sumatra Basin
Authors: Nainggolan T B , Nurhasanah U , Setiadi I 
Published: December 2021

Abstract
Offshore Central Sumatra Basin is an integral part of Central Sumatra Basin known for producing hydrocarbon basins. The derivation of stratigraphic study of seismic and well data is intended to improve accuracy of geological interpretation. Sequence stratigraphy studies have a significant role in exploratory studies to determine which depositional sequence can be inferred as hydrocarbon reservoir and its correlation in petroleum system. This study aims to identify biogenic gas sequential interpretation using seismic and well data of offshore Central Sumatra Basin. The procedure to analyze sequence stratigraphy is to identify stratigraphy surface markers using GR log, then map these markers to the seismic section that has been tied with good data to determine the distribution of each stratigraphy sequence. This study area has five depositional sequences, which are predominantly formed in marine depositional environments. Potential source rock in this area is at DS-1 which has a lacustrine depositional environment with euxinic conditions. The euxinic shale at the upper TST-1 deposit could be a source rock with hydrocarbon migration through faults. Biogenic gas reservoir potential is in Petani Formation (DS-5). Shale in MFS-5 and HST-5 could be a hydrocarbon trap, whereas LST-5 and TST-5 sandstone deposits can be a reservoir.
Target strength measurement of Caroun croaker (Johnius sp.) and acoustic fish density estimation in Musi Estuary, South Sumatra
Authors: Supriyadi F , Jaya I , Pujiyati S , Hestirianoto T , Fahmi Z 
Published: December 2021

AbstractCaroun Croaker (Johniussp.) is one of the dominant estuarine fish that has a reasonably high economic value. The target strength (TS) value measurement is essential in calculating the density of fish stocks using the hydroacoustic method. Target strength measurement of Caroun Croaker (Johniussp.) and an acoustic survey in Musi Estuary Waters of South Sumatra Province was conducted in December 2019. The result of TS measurement will be used to estimate the acoustic density along the survey area. The TS measurement used the standard tethered method, tying placing the fish in a fixed cage, transmitting the acoustic pulse, and analyzing its return using the scientific acoustic instrument Biosonic DT-X 200 KHz. The fisheries acoustic survey was carried out in the area around the Musi estuary with a predetermined survey design. The results of the measurements have obtained the TS-length relationship, as TS= 20 LOG L-78.79 with determinant value of R2= 0.67 for fish length ranges from 18.1-23.3 cm, and an acoustic survey showed that the estimated stock density value was 286 kg/ha for the total surveyed area of 1.612 ha.
Identification of yellowfin tuna (Thunnus albacares), mackerel tuna (Euthynnus affinis), and skipjack tuna (Katsuwonus pelamis) using deep learning
Authors: Ayuningtias I , Jaya I , Iqbal M 
Published: December 2021

Abstract
Yellowfin tuna (Thunnus albacares), mackerel tuna (Euthynnus affinis), and skipjack tuna (Katsuwonus pelamis) have important economic values for the capture fisheries in Indonesia. Activities of identifying these fish and other types of tuna have been done manually, which can lead to errors and ultimately affect statistics, stock estimates, or traceability. The aim of this research is to use deep learning methods in identifying three species of tuna, specifically yellowfin tuna, mackerel tuna, and skipjack tuna. YOLO’s newest model, YOLOv5, was used to identify the fish. The number of epochs that produces the optimum accuracy value for use in the YOLOv5 model is 400. The values for training loss, accuracy, precision, recall and F1-Score when the model is learning with a total of 400 epochs are 0.000253, 95%, 98.1%, 93.9%, and 96%. Based on these results, the three species of tuna can be identified with high accuracy.
Environmental DNA (eDNA) reveals endangered narrow sawfish across Indonesian Reefs
Authors: Sani L M I , Husna A K , Subhan B , Madduppa H 
Published: December 2021

AbstractEnvironmental DNA or eDNA is a powerful method to uncover marine organisms in the seawaters. Furthermore, many marine species are difficult to determine in the sea waters because of their rare existence based on the visual census. In this study, we implemented environmental DNA to investigate the presence of the endangered species of narrow sawfishAnoxypristis cuspidatain Indonesia. Four liters of seawater samples were collected at six locations near the coral reefs ecosystem of Indonesia and filtered at 0.45 μm filter paper. DNA was extracted from the filter paper then Polymerase Chain Reaction (PCR) amplification was performed using thecytochrome c oxidase subunit I(COI) primer and analyzed by Next Generation Sequencing (NGS). The findings revealed that narrow sawfish exist in Indonesian waters, and it also simultaneously showed that environmental DNA could detect rare species. The environmental DNA approach to identifying narrow sawfish can provide reliable results and be used as a survey tool to protect endangered threatened and protected (ETP) species.
Sea cucumber species found in Soft-bottom of Wulan Estuary-Demak, Central Java
Authors: Hartati R , Redjeki S , Riniatsih I , Widianingsih W , Nuraini R A T , Endrawati H , Mahendrajaya RT 
Published: December 2021

Abstract
Indonesia has been known to have a high diversity of sea cucumber, but data and information are mostly on high-economic-value species. Sea cucumber living in soft-bottom substrates is less studied and unexploited. Wulan estuary located in the Demak Regency of Central Java was experiencing high sedimentation, which was consisted of fine material, and acted as a habitat for many macrozoobenthos, amongst others sea cucumbers. The objective of the present research was to identify the species of sea cucumber in the soft bottom of the Wulan estuary. The collection of sea cucumber specimens was done using a dredge. A total of 132 specimens were collected, examined, and identified through their morphological characters. The holothuroids found in the soft-bottom of the Wulan estuary represent five genera (Acaudina, Colochirus, Holothuria, Paracaudina, Phyllophorus,) in four families (Caudinidae, Cucumariidae, Holothuriidae, and Phyllophoridae) belonging to three orders (Molpadida, Dendrochirotida, and Aspidochirotida). The species were Acaudina sp., A. molpadioides, Colochirus quadrangularis, Holothuria cf. impatiens, Paracaudina sp., Paracaudina chilensis, P. australis, and Phyllophorus spiculata. A. molpadioides is presented as the most frequently found species. Although sea cucumber found in the Wulan estuary has not been exploited, it still needs to be managed to sustain its population.
Reef fish community on Sabira Island, Kepulauan Seribu Regency, DKI Jakarta
Authors: Taqiyuddin M W , Srimariana E S , Cakasana N 
Published: December 2021

AbstractSabira Island is an island close to Jakarta Province but still has good water conditions and a coral reef ecosystem with a high level of diversity. The condition of the coral reef ecosystem affects the community structure of the reef fish there. This study aims to determine the community structure of the reef fish on Sabira Island. The research was conducted in August 2019 on Sabira Island, Kepulauan Seribu Regency, DKI Jakarta Province. Observations of reef fish were carried out using the Underwater Visual Census method at four observation stations. There were 47 species of reef fish found on Sabira Island from 12 families. The total reef fish found were 1315 individuals, consisting of 79 indicator fish, 417 individual target fish, and 819 major fish. The highest diversity index value on Sabira Island was found at the South Station, with a diversity index value of 2.39. Based on the community structure index at the four observation stations, the reef fish community’s condition on Sabira Island is still good ranging from unstable to stable condition with moderate diversity and low dominance index values.
Development of segmentation algorithm for determining planktonic objects from microscopic images
Authors: Prakasa E , Rachman A , Noerdjito D R , Wardoyo R 
Published: December 2021

Abstract
Plankton are free-floating organisms that live, grow, and move along with the ocean currents. This free-floating organism plays important roles as primary producers, they serve as a link to energy transfer, and a factor that regulates the biogeochemical cycles. Indonesia, with almost 60% of its territory covered by the ocean, harbours a wide variety of planktonic species. However, one of the issues within usual planktonic studies is the lack of a fast and accurate method for identifying and classifying the plankton type. Thus, the computer vision methods on microscopic images were proposed to deal with the problem. The classification follows two main steps, detecting plankton location and followed by plankton differentiation. The segmentation algorithm is required to limit the determination area. The present study describes the segmentation methods on fifteen plankton types. The U-Net based architecture was implemented to segment the plankton texture from other objects. The segmentation result was also compared with the manual assessment to compute the performance parameters. The accuracy, 0.970±0.025, gives the highest value whereas the smallest value is found in the precision parameter, 0.761±0.156.
Life form, diversity, and spatial distribution of macroalgae in Komodo National Park waters, East Nusa Tenggara
Authors: Zulpikar F , Handayani T 
Published: December 2021

Abstract
Komodo National Park is one of the favorite destinations for both domestic and international marine tourism. Marine tourism activities have caused environmental changes and impact on fisheries and marine resources. Macroalgae were also affected by the environmental changes, so management of macroalgae was required. Ecological data of macroalgae can be used as baseline data for coastal area management. The study aimed to determine the life form, species composition, spatial distribution, and ecological aspects of macroalgae assemblages in Komodo National Park waters. The study was conducted in September 2013, in eight locations, namely Setuga, Komodo Karang Makasar, Padar Kecil, Padar, Papagarang, Mangaitan, and Muntia island. Macroalgae samples were collected by the quadratic transect method. The data analyzed were Sorensen’s similarities. A total of 42 species of macroalgae were recorded, consisting of three Phylum: Chlorophyta (19 species), Ochrophyta (8 species), and Rhodophyta (15 species). Epilithic was the dominant life form of macroalgae. In general, macroalgae can be stably attached to hard substrates. The highest macroalgae diversity was found on Mangaitan Island (22 species). Halimeda and Amphiroa were macroalgae that can be found in almost all locations. Setuga Island had similar macroalgae with both Mangaitan and Muntia islands. The differences in the number of macroalgae species were influenced by environmental pressure, topography, and substrate profile. Management of macroalgae resources was needed to maintain the sustainability of the macroalgae ecosystem.
Object-based image analysis (OBIA) for mapping mangrove using Unmanned Aerial Vehicle (UAV) on Tidung Kecil Island, Kepulauan Seribu, DKI Jakarta Province
Authors: Pasaribu R A , Aditama F A , Setyabudi P 
Published: December 2021

Abstract
Tidung Kecil Island is a conservation and mangrove cultivation area. Therefore, the potential of mangrove ecosystems on Tidung Kecil Island will have a direct role in coastal ecosystems. Accurate mangrove mapping is necessary for the effective planning and management of ecosystems and resources because mangroves function as protectors of ecological systems. The utilization of remote sensing technology that is near real-time can be used as an alternative in providing spatial data effectively. Mapping earth’s surface objects method is growing especially after the development of design, research, and production of flexible Unmanned Aerial Vehicle (UAV) platforms. The use of object-based classification methods is currently an alternative in classifying an object of the Earth’s surface using both satellite and aerial photo imagery data (orthophoto) that has a high accuracy value. This research aim is to map object based mangrove ecosystems using UAV technology on Tidung Kecil Island, Kepulauan Seribu, DKI Jakarta. The K-NN algorithm result was a good classification with 81.081% overall accuracy (OA) at the optimum value of the MRS segmentation scale 300;0,1;0.7 and divided into two classes which are mangrove and non-mangrove for 0.381 ha and 20.912 ha respectively.