bluuebunny/crossref_metadata_2025 huggingface dataset:
CIE 179:2007 Methods for characterising tristimulus colorimeters for measuring the colour of light
Authors:   CIE TC 2-16
Published: October 2022

The purpose of this Technical Report is to provide an objective means for evaluating the properties of tristimulus colorimeter heads that are to be used to measure the colour of light sources. Several properties that determine the performance of tristimulus colorimeters can be quantified by numerical assessments. There are some properties, however, which have not been possible to quantify, where only a qualitative description is possible. Several sources of measurement error are also described.-\n--\n-The report is intended to serve as a guide for a potential user who wishes to make colour measurements of sources using a tristimulus colorimeter, and for manufacturers or users of instruments who need to specify or assess the quality of these instruments. The factors that make up the evaluation may also serve as a guide to manufacturers in the development of improved colorimetric instruments. Keywords: chromaticity coordinates, colorimetry, colour matching functions
CIE 208:2014 Effect of Stimulus Size on Colour Appearance
Authors:   CIE TC 1-68
Published: October 2022

This report deals with the effect of stimulus size on colour appearance for the case of large (> 20�) colour stimuli. Neither the standard observers nor the CIECAM02 model can predict the colour size effect, i.e. the different colour appearance of large stimuli compared to a standard size stimulus. This report defines the concept of equivalent colour to describe large size colour stimuli in terms of standard 2� stimuli of equal colour appearance.-\n-There is only little research dealing with the effect of stimulus size. This report refers to a few projects on colour appearance of real life rooms, fa�ades and immersive self-luminous displays. In the laboratory tests there is a trend that the perceived colour of the large stimulus exhibits a higher lightness and a higher chroma than the small one. Significant hue changes were also observed.-\n-Results from real life studies do not always agree with those from laboratory tests. One reason for this could be that there are several other factors that interact with the colour size effect and influence the colour appearance of large stimuli. Therefore, the tentative mathematical models of this Report are intended to describe only specific viewing situations. Keywords: colour vision, perception of colour, colours of objects
CIE 209:2014 Rationalizing Nomenclature for UV Doses and Effects on Humans
Authors:   CIE JTC 3
Published: October 2022

The field of atmospheric ultraviolet radiation (UV) research is plagued with difficulties in nomenclature. The problems arise from (a) the strong wavelength dependence of UV radiation received at the Earth?s surface, (b) the ad-hoc way disparate groups have approached the subject and (c) the incorrect use of units when action spectra for different UV effects are incorporated. This report highlights some of the issues, taking vitamin-D synthesis, a beneficial effect, as a specific example. Standard vitamin-D dose (SDD) and minimum vitamin-D dose (MDD) are proposed, analogous to the standard erythema dose (SED) and minimum erythema dose (MED) that are in common use for erythema. In recognition of the fact that currently accepted action spectra may be revised in future if new data become available, it is recommended that spectrally resolved irradiance measurements are maintained and continued so that biologically effective irradiances and doses may be reprocessed.-\n-The joint publication of CIE and the World Meteorological Organization (WMO) is written in English, with a short summary in French and German. Keywords: actinic radiation effects, biologic effect of radiation, photobiology, radiation effects, ultraviolet radiation
CIE 217:2016 Recommended Method for Evaluating the Performance of Colour-Difference Formulae
Authors:   CIE TC 1-55
Published: October 2022

A method is recommended to evaluate the strength of the relationship between visually-perceived colour differences in a given set of colour pairs and their corresponding predictions made by a colour-difference formula. This method is based on the Standardized Residual Sum of Squares (STRESS) index used in multidimensional scaling, and tests if two colour-difference formulae are or are not statistically significantly different. The same index can be also used to compute intra- and inter-observer variability in visual experiments. Beside important advances made in the field of colour-difference evaluation using reliable visual datasets currently available, the results achieved from the STRESS index indicate that it is not possible to recommend a more uniform colour space with a Euclidean colour-difference formula that is statistically significantly better than CIEDE2000. Keywords: perception of colour, colours of objects, colour vision, colour appearance
CIE 223:2017 Multispectral Image Formats
Authors:   CIE TC 8-07
Published: October 2022

This technical report describes the basic model of multispectral imaging technology followed by the requirements and the examples of multispectral image formats suitable for colour imaging applications. Four example formats are introduced and compared in typical use cases: JPEG 2000, Spectral Binary File Format, Natural Vision, and multispectral image file format AIX. The specifications of those formats except for JPEG 2000 are provided in the Annex. Keywords: imaging, image format, image technology
EVALUATION OF DATA ACQUISITION SYSTEMS FOR MEASUREMENT OF TEMPORAL LIGHT MODULATIONS
Authors: Zong Y. , Miller C.C.
Published: October 2022

We evaluated several data acquisition systems for measurement of temporal light modulations. A waveform generator was used to simulate temporal light modulation waveforms for this evaluation. The generated waveform was used as the waveform reference and was measured using three representative data acquisition systems with resolutions of 24 bits, 16 bits, and 8 bits. The temporal light artefacts quantities, the short-term flicker index, PstLM, perception modulation, Mp, and stroboscopic effect visibility measure, SVM, of the reference waveform and three measured waveforms were calculated and compared.
IMPLEMENTING LOCK-IN DETECTION IN PHOTOMETRY AND SPECTRORADIOMETRY USING TEMPORAL LIGHT MODULATION
Authors: Martinsons C.
Published: October 2022

"Lock-in detection is a well-established technique to measure the amplitude and phase of a modulated signal in the presence of noise, background, and parasitic signals. This technique is commonly used in many applications to extract small, modulated signals buried in noise that could not directly be measured otherwise. In most lighting products, temporal light modulation is usually a periodic fluctuation of the light output resulting from the power supply. Lock-in detection is inherently well-suited to the characterisation of these optical oscillations superimposed to a large luminous background. Different methods of lock-in detection are applicable to photometric and spectroradiometric measurements in the presence of temporal light modulation: electrical lock-in detection with a lock-in amplifier, digital lock-in detection based on synchronous sampling, and purely optical lock-in detection. The practical implementations of these methods are detailed, illustrated, and compared. Their respective advantages and drawbacks are presented in the case of photometric and in the case of more complex measurements based on array spectrometers and imaging photometric instruments. New applications enabled by temporal light modulation are given."
MINIMISING THE UNCERTAINTIES IN THE CALCULATION OF STROBOSCOPIC EFFECT VISIBILITY MEASURE
Authors: Dam-Hansen C. , Coyne S. , Isoardi G. , Ohno Y.
Published: October 2022

The applied numerical calculations to determine the stroboscopic effect visibility measure (SVM) of a specific temporal light modulation waveform will influence the uncertainty of the determined value. An investigation of the achievable uncertainty under application of zero-padding and quadratic interpolation for peak finding is performed. This is done for sinusoidal and square verification waveforms outlined in IEC TR 63158 and demonstrates that using the referenced Stroboscopic effect visibility measure toolbox gives deviations from the reference values of up to 2.2%. Applying a combined optimised method of zero-padding and quadratic interpolation deviations less than 0.05% are achieved and yielding consitent. Result over different sampling frequencies. The verification waveforms are generated on a programmable light modulator and measurement results are shown.
Diagenesis Study of Jatiluhur Formation at Cipamingkis River, Bogor Regency, West Java, Indonesia
Authors: Aulia Intan , Aditiyo Rezky
Published: October 2022

Diagenesis studies in the Jatiluhur Formation are still relatively new, especially in the Cipamingkis River. This research can provide information in the form of components and characteristics of sandstone in the Jatiluhur Formation which can be used as a basis for further research or useful information in the oil and gas industry. Knowledge of diagenetic could be one of the factors that affect in raservoir quality, espesially in sandstone. In this study, data collection was carried out through surface mapping, which is 55 rock samples were obtained from stratigraphic measuring section with a path length of ±2 Km in the Cipamingkis River. The data is in the form of information on sedimentarry structure, textures and composition. There were 23 sandstone and 2 limestone samples which were then subjected to petrographic analysis, X-ray diffraction (XRD) and scanning electron microscopy (SEM). The results of study are several features of diagenesis were found including compaction that works in the form of point contact, long contact, concavo-convex contact and suture contact and dominated by mechanical compaction, while in limestone there is a brittle fracture feature in bioclasts. The cement found in the form of calcite cement, quartz and clay minerals that the form of kaolinite, smectite and illite, while the limestone is in the form of blocky and fibrous to bleded which is filled with calcite minerals. Dissolution occurs in the minerals of quartz, feldspar, and mica. The mineral replacement that is commonly found occurs in quartz and feldspar minerals. In limestone, there is an intergranular micritization. The dominant type of porosity found was interparticle with an average of 10.4% found between 3 – 23%. The history of diagenesis that occurs in rocks in the Jatiluhur Formation begins with the initial deposition of eogenesis, followed by burial mesogenesis and ends with telogenesis which reveals rocks on the surface.
Clean Water Supply in Tasikmalaya Municipality, Opportunities and Challenges
Authors: Permana Sulwan , Susetyaningsih Adi , Fadli Dicky Muhamad
Published: October 2022

Currently, there are three sub-districts in Tasikmalaya City that are still vulnerable to clean water, namely Kawalu, Tamansari, and Cibeureum sub-districts. PDAM Tirta Sukapura, owned by the Tasikmalaya Regency Government, has not been able to meet clean water needs, so the Tasikmalaya Municipality Government plans to build a new PDAM as an alternative. The Ciwulan river in Cibeuti Village is a source of water that will be used as a collection point. Rain data was taken from 2 stations, namely Gunung Satria and Cikunten II stations, for ten years. The evapotranspiration value was calculated using the Penman-Monteith method. The calculation of the discharge in the intake area, namely Ciwulan-Cibeuti with a watershed area of ​​405 km2, used the NRECA method using parameters taken from the calibrated Ciwulan-Sukaraja station. The calibration parameters are PSUB = 0.86; GWF = 0.22, reduction coefficient = 0.80; and NSE = 0.764. The determination of the dependable flow is calculated using the Weibull method. The magnitude of the Q90's dependable flow is 4.3 m3/s. The projected population for the next 15 years is estimated at 307,857 people, so the amount of water needed is around 0.535 m3/s. Opportunities for business entities to participate in building PDAM are wide open, with the certainty of return plus profits or independent management by business entities within a certain period of time. The challenge for the government and business entities is to provide reasonable prices to customers and new networks.
Identification of Geothermal System In “Diana” Area, Indonesia Based On Magnetotelluric Data Modelling
Authors: Alpine Fajar , Yatini Y. , Takodama Iqbal
Published: October 2022

These days, the number of geothermal explorations is being increased to obtain a greater new potential of geothermal energy. One of the methods that is often used is magnetotelluric (MT). By MT, the components of a geothermal system can be delineated based on the resistivity values. This research’s main purpose is MT data modelling in 1 D and 2 D to delineate the geothermal system in the research area. There are 18 point of soundings, with a distance of about 1 – 3 km for each point. Bostick Transformation is used in 1 D modelling while Non-Linear Conjugate Gradient inversion is used as 2 D modelling with L – curve analysis as a method to obtain an optimal value of regularization parameter. Based on the analysis of 1 and 2 D models, the caprock zone was identified with a resistivity value of < 50 Ωm at a depth of 500 m with a thickness of about 250 m. The reservoir zone was identified with a resistivity value range of (50 – 100) Ωm located at a depth of 1000 with a thickness of about 500 m. Also, fault structures have been identified at the center of the research area. The regularization parameter used for the 2 D modelling is 5, which has obtained RMS values of 2.25% and 2.21% for each line.
Characteristics of Kedondong Trass and Bobos Trass as Cement Raw Material, Cirebon, West Java, Indonesia
Authors: Marin Jenian , Winarno Tri , Fairuz Shofiana Nadia
Published: October 2022

The use of cement materials in construction continues to increase every year, consumes lots of raw material and emits CO2 from clinker production. To eliminate this negative effect, alternative materials are needed. Trass is natural pozzolan which is formed from silica-alumina rich volcanic rocks. As supplementary cementitious material, trass is sufficiently durable and reduce clinker proportion in cement mixture, thus more environmentally friendly.

This research aims to determine characteristics and composition of Kedondong trass and Bobos trass, Cirebon, West Java as raw material for pozzolan cement. The study was conducted using petrography and XRD analysis to determine mineralogy of rocks. XRF analysis was carried out to determine chemical composition as well as other tests to determine trass quality.

Kedondong trass is originated from andesite intrusion and andesitic breccia, while Bobos trass is formed from hypersthene-andesite intrusion. Based on mineralogy analysis, trasses have similar mineral composition consist of plagioclase, quartz, pyroxene, hornblende, and sanidine. XRD analysis shows abundance of cristobalite and tridymite from each samples. This mineralogy is confirmed by geochemistry result, which is the samples contain more than 70% SiO2 + Al2O3 and less than 4% SO3. Other chemical characteristics that have been tested are moisture content, ignition loss, and clay content in which all of those parameters meet the industrial standard for cement material.
A Comparison of Geologic Structure Detection of Sumatera Island Using Goce Satellite Gravity Data and Sgg-Ugm-2 Data
Authors: Al Shida Natul  , Leni Sophia Heliani
Published: October 2022

GOCE gravity satellite data can be used for regional fault detection because the observation area is wide and not limited by area. In this study, GOCE satellite data is used to detect geological structures on the island of Sumatra, the results of which are used as the basis for disaster mitigation. GOCE data and SGG-UGM-2 were processed using the GOCE User Toolbox (GUT) software to produce a gravity disturbance map and a complete bouguer anomaly map. The GOCE obtained results were validated using the SGG-UGM-2 high-resolution gravity model data. The calculation results obtained that the gravity disturbance value from the GOCE data was around -140 to 200 mGal, while the value of the gravity disturbance from the SGG-UGM-2 data was around -180-300 mGal. The GOCE gravity disturbance map and the SGG-UGM-2 can detect the Subduction Trench, Mentawai Fault, and West Andaman Fault on Sumatra Island with negative values, while the Sumatran Fault Zone (SFZ) along Sumatra Island with positive values ​​in line with the presence of mountain ranges. The results of the SGG-UGM-2 data processing for the gravity disturbance are more detailed than GOCE because the SGG-UGM-2 data degree is higher than that of GOCE. GOCE complete bouguer anomaly value is around 40-560 mGal, while the value of complete bouguer anomaly SGG-UGM-2 is around 60-560 mGal. The complete bouguer anomaly maps from GOCE and SGG-UGM-2 can detect patterns from the Subduction Trench, Mentawai Fault, and West Andaman Fault but cannot clearly detect SFZ. The complete bouguer anomaly can also detect differences between oceanic and continental crust. The GOCE and the SGG-UGM-2 complete bouguer anomaly map show almost similar patterns and the ability to detect geological structures for sub and regional Sumatra Island. In addition, GOCE data detect geological structures more clearly than GRACE data.
On the rational design of mesoporous silica humidity sensors
Authors: Füredi Máté , Alvarez-Fernandez Alberto , Jara Fornerod Maximiliano , Fodor Bálint , Guldin Stefan
Published: October 2022

Mesoporous silica is commonly used as matrix for humidity sensors, which operate on the principle of relative humidity-dependent water uptake and read-out by resistive or capacitive means. Although numerous studies have been dedicated to improving the sensing performance, in particular with conductive additives, the effect of pore structure on sensing behaviour has not been systematically investigated so far. Herein, we showcase the effects of pore size and porosity on resistive sensing behaviour in the 0.5-85% relative humidity (RH) range. We employed evaporation-induced self-assembly (EISA) in combination with sol-gel chemistry to fabricate well-defined mesoporous silica thin films with high degree of structural control. Material architectures with pore sizes of 3 to 15 nm and porosities of 40 to 70% were rationally designed by using structure directing agents (SDAs) with increasing molecular weight and tuning the silica to SDA ratio. We found that a combination of pore size of 15 nm and 70% porosity showcases a particularly high sensitivity (~104 times change in resistance) in the measured range, with quick response and recovery times of 3 and 9 seconds, respectively. Across the various sensors, we identified a clear correlation between the pore size and the linear RH sensing range. Sensors with larger mesopores (~15 nm) exhibited higher sensitivity and linear response in the 65 to 85% RH range than sensors with smaller pores (<8 nm). Additionally, increasing the porosity while retaining the pore size, yields better overall sensitivity across the range. Our findings may serve as guidelines for developing broad spectrum high-performance mesoporous sensors and for sensors specifically engineered for optimal operation in specific RH ranges.
From descriptors to intrinsic fish toxicity of chemicals: an alternative approach to chemical prioritization
Authors: Samanipour Saer , O'Brien Jake , Reid Malcolm , Thomas Kevin , Praetorius Antonia
Published: October 2022

The European Chemicals Agency (ECHA) and US Environmental Protection Agency (EPA) have listed approximately 800k chemicals that must be further investigated for their potential environmental and/or human health risk. A significant number of these chemicals have large enough global volumes of consumption (e.g. industrial and agro- chemical) to reach the limits of detection of our analytical chemistry methods in en- vironmental samples, but experimental data on their environmental fate and toxicity are largely missing. Filling these data gaps experimentally for such a large number of chemicals is practically impossible, making model approaches to predict chemical property data highly relevant. However, the currently available models suffer from limited training sets, linearity and continuity assumptions. In this study we present a supervised direct classification model that directly connects the molecular descriptors of chemicals to their toxicity. As a proof of concept we used 907 experimentally defined 96h LC50 values for acute fish toxicity. Classification was performed into two typesof toxicity categories: 1) categories derived via k-means clustering from the experimental dataset and 2) hazard categories defined by the Globally Harmonized System of Classification and Labelling of Chemicals (GHS), via machine learning. Our direct classification model explained ≈ 90% of variance in our data for the training set and ≈ 80% for the test set. Direct comparison of our classification model with the conventional strategy (i.e. QSAR regression model) resulted in a 5 fold decrease in the wrong chemical categorization for our model. The optimized model was employed to predict the toxicity categories of ≈ 32k chemicals (from the Norman SusDat). Finally, a comparison between the model based applicability domain (AD) vs the training set AD was performed, suggesting that the training set based AD is a more adequate way to avoid extrapolation when using such models. The better performance of our direct classification model compared to conventionally employed QSAR methods, makes this approach a viable tool for hazard identification and risk assessment of chemicals.
Enhancing Dynamic Spectral Diffusion in Metal-Organic Frameworks Through Defect Engineering
Authors: Halder Arjun , Bain David , Oktawiec Julia , Addicoat Matthew , Tsangari Stavrini , Fuentes-Rivera Jose , Pitt Tristan , Musser Andrew , Milner Phillip
Published: October 2022

The crystal packing of organic chromophores has a profound impact on their photophysical properties. Molecular crystal engineering is generally incapable of producing precisely spaced arrays of molecules for use in photovoltaics, light-emitting diodes, and sensors. A promising alternative strategy is the incorporation of chromophores into crystalline metal-organic frameworks (MOFs), leading to matrix coordination-induced emission (MCIE) upon confinement. However, it remains unclear how the precise arrangement of chromophores and defects dictates photophysical properties in these systems, limiting the rational design of well-defined photoluminescent materials. Herein, we report new, robust Zr-based MOFs constructed from the linker tetrakis(4-carboxyphenyl)ethylene (TCPE4−) that exhibit an unexpected structural transition in combination with a prominent shift from green to blue photoluminescence (PL) as a function of the amount of acid modulator (benzoic, formic, or acetic acid) used during synthesis. Time-resolved PL (TRPL) measurements provide full spectral information and reveal that the observed hypsochromic shift arises due to a higher concentration of linker substitution defects at higher modulator concentrations, leading to broader excitation transfer-induced spectral diffusion. Spectral diffusion of this type has not been reported in a MOF to date, and its observation provides structural information that is otherwise unobtainable using traditional crystallographic techniques. Our findings suggest that defects have a profound impact on the photophysical properties of MOFs, and that their presence can be readily tuned to modify energy transfer processes within these materials.
Orbiting self-organization of filament-tethered surface-active droplets
Authors: Winkens Mitch , Vilcan Alexandru , de Visser Pieter J. , de Graaf Freek V. , Korevaar Peter A.
Published: October 2022

Dissipative chemical systems operate outside of equilibrium, and hold potential to enable life-like behavior in synthetic matter, such as self-organization, motility, and dynamic switching between different states. Here, out-of-equilibrium self-organization is demonstrated at an air-water interface, enabled by amphiphile filaments that self-assemble from source droplets and tether to pivalic anhydride-based drain droplets, which are surrounded by a pivalic acid gradient due to their hydrolysis. The coupling of chemical gradients, self-assembly and Marangoni flow due to release and depletion of amphiphiles at the air-water interface generates a unique orbiting of drain droplets around the source droplet. This orbiting is proposed to be driven by the selective adhesion of filaments to the front of the moving drain, while filaments approaching the drain from behind are destabilized upon contact with the asymmetrical gradient of pivalic acid. The motion sustains itself to complete multiple rotations, ending when the depletion of amphiphiles at the drain, which drives the Marangoni flow towards the drain, becomes too weak to attract new filaments. Potential applications are foreseen in rearranging networks for dynamic transfer of chemical signals amongst interconnected droplets, and the implementation of dissipative chemical reactions in self-organizing systems as a strategy towards life-like behavior is highlighted.
Journey of plants natural products from plants to bioactive products
Authors: - Anmol , Aggarwal Gaurav , Sharma Mehak , Singh Raman , - Shivani , Sharma Upendra
Published: October 2022

Secondary metabolites present in medicinal plants having intrinsic functions in the host also possess vast and versatile pharmacological effects along with a crucial role in the herbal, food, cosmetics, and chemical industry sector. Traditional knowledge of medicinal plants provides the clues for the target-specific research by implementing botanical, phytochemical, analytical, biological, and biotechnological tools which can ultimately lead to the discovery of lead molecules. The structural complexity and molecular diversity of plant-based specialized metabolites make them potential drug-like candidates. Multivariate analytical and chromatographic techniques assists in phytochemical analysis and facilitates the isolation of secondary metabolites from plants. This review is mainly focused on covering fundamental aspects involved in the phytochemical study of plants starting from approaches used for the selection of particular plants for research, biosynthesis of the different classes of compounds owing to a diverse range and complexity, and complete steps involved from raw plant material to pure bioactive molecule along with tools used for structure elucidation and quality assessment of plants.
Long term phase separation dynamics in liquid crystal-enriched microdroplets obtained from binary fluid mixtures
Authors: Patel Mehzabin , Shimizu Seishi , Bates Martin , Fernandez-Nieves Alberto , Guldin Stefan
Published: October 2022

The dynamics of long term phase separation in binary liquid mixtures remains a subject of fundamental interest. Here, we study a binary liquid mixture, where the minority phase is confined to a liquid crystal (LC)-rich droplet, by investigating the evolution of size, defect and mesogen alignment over time. We track the binary liquid mixture evolving towards equilibrium by visualising the configuration of the liquid crystal droplet through polarisation microscopy. We compare our experimental findings with computational simulations and elucidate the bulk vs microdroplet difference based on the thermodynamics of phase separation. Our work provides insights on how phase transitions on the microscale can deviate from bulk ph
Quantifying Vertical Resonance Energy in Aromatic Systems with Natural Bond Orbitals
Authors: Parmar Karnjit , Gravel Michel
Published: October 2022

Natural bond orbitals (NBOs) provide the familiar Lewis type (2c-2e-) localized description of a molecule. Interactions between nearly filled (2e-) orbitals and empty (π* or σ*) anti-bonding orbitals represent delocalization in the system and creates a framework to study stereoelectronic interactions. Here we show that deleting the interactions between π and π* orbitals in aromatic systems and acquiring the energy with the NBO program provides a highly intuitive and quantitative picture of π-aromaticity that correlates with the well-established nucleus-independent chemical shift (NICS) method. This natural bond orbital resonance energy (NBO-RE) measures the vertical resonance energy (VRE) of aromatic systems without the use of an external reference structure. The NBO-RE method is applicable to the study of local aromaticity in polycyclic aromatic hydrocarbons (PAHs) and other non-planar systems.
The Natural Tourist and Recreational Potential of the Rivers of the Republic of Belarus: The Methodology of a Comprehensive Full-Scale Assessment, Profiling Uses and Limiting Factors
Authors:   Belarusian State University, Shevtsova N. S.
Published: October 2022

This paper presents the results of a comprehensive multi-scale assessment of the natural tourism and recreational potential of the rivers of Belarus, which allowed to identify the profiling types of water recreation and tourism, as well as their limiting factors. The methodological basis for the study and assessment of the natural tourist and recreational potential of rivers was the conceptual model of the tourist and recreational assessment of the natural potential of rivers, the methodology of the integrated tourist and recreational assessment of the natural potential of rivers, based on the structure of the types of its tourist and recreational use of rivers and the system of differentiated target indicators in their context, developed on the basis of the principles ecological and technical safety, physiological and climatic comfort and landscape and aesthetic attractiveness. The approbation of the system of target indicators in the context of the types of tourists and recreational use of the natural potential of rivers allowed for its comprehensive assessment, which is a multimedia effect from the integration of a triplex of biomedical, technological, and psychological-aesthetic types of assessment. The obtained quantitative results of a comprehensive tourist and recreational assessment of the natural potential of rivers at a multi-scale level (plot – percentage of plots in the region – percentage of plots in the country) allowed to identify the profile of their tourist and recreational use and the genesis of their limiting factors, as well as to carry out their geographical interpretation, which allowed to establish patterns and features of their placements at different spatial levels. As a result of a comprehensive assessment, three groups of limiting factors were identified for all types of tourists and recreational use at the regional level: general, special, and individual, while for amateur fishing and amateur hunting there are only two groups represented by general and special. As a result of a comprehensive assessment of the natural tourism and recreational potential of rivers in a multi-scale format, its geographical patterns and features were determined, which allowed creating a basis for developing a strategy for the development of aquatic tourism on the rivers of Belarus as one of the promising areas of domestic tourism in the complex epidemiological conditions of the modern stage.
Features of Renewable Energy Development in the Republic of Buryatia and Mongolia
Authors:   Baikal Institute of Nature Management SB RAS, Badmaev A. G. , Batomunkuev V. S. ,   Baikal Institute of Nature Management SB RAS
Published: October 2022

Every year, humanity is increasingly faced with a shortage of electricity on the one hand, and with an increase in greenhouse gas emissions after the generation of electricity at thermal power plants (TPPs), on the other. Energy is the dominant driver of climate change and accounts for about 60 percent of total global greenhouse gas emissions. The article is devoted to the analysis of renewable energy development in the Republic of Buryatia and Mongolia over the past 10 years. The constantly growing demand for electricity and relatively small energy capacities are forcing the Republic of Buryatia (to a greater extent) and Mongolia, which are limited in some types of economic activity, to look for new sources of energy. One of these restrictions is the ban on the construction of hydroelectric power plants on the rivers of the Baikal Lake basin. Therefore, Buryatia and Mongolia have embarked on the path of building environmentally friendly power plants and have succeeded in many ways. In last years, in connection with the UN Sustainable Development Goals on the development of infrastructure for the provision of affordable and clean energy (Goal 7), there has been a need to develop renewable energy sources. One of the priority areas for the development of renewable, including alternative, energy in Buryatia and Mongolia is solar, wind, hydro and geothermal energy. UN Sustainable Development Goal 7 aims to ensure universal access to affordable, reliable, sustainable, and modern energy for all. As part of the implementation of the UN Sustainable Development Goal 7, solar and wind power plants have been actively built in Buryatia and Mongolia over the past 10 years. Despite the high costs of their creation, the contribution to alternative energy is a long-term and profitable investment in infrastructure. At least investors (including foreign ones) investing in a seemingly lowprofit project look far into the future. Smart investors do not run after «quick money», realizing that the constructed power plants will pay off for a long time, since at the moment of development they have a relatively low efficiency. Despite the criticism, they are investing in green energy, modern infrastructure, and a future without emissions (CO2, NO2, SO2 and other Greenhouse gases) from burning coal, fuel oil and firewood. For the qualitative development of the economy, it is necessary, first of all, a balanced development of generating and network capacities, therefore, it is possible to solve the problem of shortage of electricity without a heavy burden on the environment only by developing alternative energy (renewable energy sources).
Modeling the Interconnection of Landscape-Aesthetic Qualities of Coastal Landscapes
Authors:   V. B. Sochava Institute of Geography SB RAS, Bibaeva A. Y.
Published: October 2022

This paper presents a methodology for assessing the visual quality of coastal landscapes. The initial material was the data of a survey of the opinions of vacationers in the coastal zone of the southwestern coast of Lake Baikal about the landscapes aesthetic properties of their places of rest (aesthetics, diversity, harmony, exoticism, uniqueness, beauty, disturbance, colorfulness), individual components of the landscape (sky, relief, vegetation, water bodies) and their emotional state. Analysis of public opinion makes it possible to obtain a spatially differentiated view (representation) of the landscape and aesthetic qualities of coastal landscapes. The most attractive and most disturbed parts of the coastal zone have been identified. To understand the factors contributing to the formation of the aesthetic impression of the surrounding landscapes among respondents, multiple regression analysis was carried out using the Data Analysis module of Ms Excel. The resulting multiple regression model is characterized by a high comparability of the results of empirical data with their predicted values: the absolute value of the correlation between the aesthetic quality of the observed landscapes and their particular aesthetic qualities (properties) is 0.93, the average approximation error is 6.5 %. The aesthetic qualities of a landscape are an indicator of its “health”. For this reason, the results of assessing the visual properties of landscapes should be taken into account in assessing the recreational load on landscapes, in developing policy documents for the territorial and socio-economic development of municipalities and the Region.
Assessment of the Lands of Agricultural Zones of the Tomsk Region Based on the Results of Modeling the Moisture Scale
Authors:   Institute of Monitoring of Climatic and Ecological Systems SB RAS, Kopysov S. G. , Eliseev A. O. ,   Institute of Monitoring of Climatic and Ecological Systems SB RAS, Dyukarev A. G. ,   Institute of Monitoring of Climatic and Ecological Systems SB RAS
Published: October 2022

The scientific novelty of the relevance of this study is caused by the fact that for the effective development and use of space, an integral criterion is needed, calculated on the basis of spatially distributed data, characterizin the local hydrological and climatic conditions of growth, formed under the influence of landscape conditions. The aim of the work is to develop and verify a method for assessing the quality of land based on the results of hydrological and climatic modeling of the stages of humidification by L. G. Ramensky. The lands with moisture scale 55-70 were accepted as the most suitable for agroindustrial use. The studied territory, even within the same agricultural zone, is very heterogeneous, with a mosaic distribution of moisture levels. Unfavorable technological properties of land – high waterlogging, small-contour fields increase the cost of their processing, making agriculture in modern conditions low-profitable. For agricultural zones of the Tomsk region, according to the described method, the calculation of moisture scale was performed. A comparison of the estimates of land suitability based on the results of hydrological and climatic modeling of moisture scale with those previously obtained for agricultural zones of the Tomsk region showed good convergence for 8 zones out of 10. This allows us to consider the calculation of L. G. Ramensky's moisture scale as a working tool for optimizing land management. It should be noted that the use of the SRTM-height matrix, due to its inherent disadvantages, does not allow performing a fully adequate on-farm land assessment. It is necessary to use better digital terrain models. The received assessments of the quality of land resources confirm that high-quality land resources in the Tomsk region are very limited and appropriate efforts should be made to preserve them. In particular, the least productive arable land should be transferred to hayfields, and distant unused agricultural land to forest plantations with valuable tree species.
Alignment control using visual servoing and mobilenet single-shot multi-box detection (SSD): a review
Authors: Rogelio Jayson , Dadios Elmer , Bandala Argel , Vicerra Ryan Rhay , Sybingco Edwin
Published: October 2022

The concept is highly critical for robotic technologies that rely on visual feedback. In this context, robot systems tend to be unresponsive due to reliance on pre-programmed trajectory and path, meaning the occurrence of a change in the environment or the absence of an object. This review paper aims to provide comprehensive studies on the recent application of visual servoing and DNN. PBVS and Mobilenet-SSD were chosen algorithms for alignment control of the film handler mechanism of the portable x-ray system. It also discussed the theoretical framework features extraction and description, visual servoing, and Mobilenet-SSD. Likewise, the latest applications of visual servoing and DNN was summarized, including the comparison of Mobilenet-SSD with other sophisticated models. As a result of a previous study presented, visual servoing and MobileNet-SSD provide reliable tools and models for manipulating robotics systems, including where occlusion is present. Furthermore, effective alignment control relies significantly on visual servoing and deep neural reliability, shaped by different parameters such as the type of visual servoing, feature extraction and description, and DNNs used to construct a robust state estimator. Therefore, visual servoing and MobileNet-SSD are parameterized concepts that require enhanced optimization to achieve a specific purpose with distinct tools.
A novel hybrid archimedes optimization algorithm for energy-efficient hybrid flow shop scheduling
Authors: Utama Dana Marsetiya , Salima Ayu An Putri , Widodo Dian Setiya
Published: October 2022

The manufacturing sector consumes most of the global energy and had been in focus since the outbreak of the energy crisis. One of the proposed strategies to overcome this problem is to implement appropriate scheduling, such as Hybrid Flow Shop Scheduling. Therefore, this study aims to create a Hybrid Archimedes Optimization Algorithm (HAOA) for solving the Energy-Efficient Hybrid Flow Shop Scheduling Problem (EEHFSP). It is hoped that this helps to provide new insights into advanced HAOA methods for resolving the EEHFSP as the algorithm has the potential to be a more efficient alternative. In this study, three stages of EEHFSP were considered in the problem as well as a sequence-dependent setup and removal times in the second stage. Experiments with three population variations and iterations were presented for testing the effect of HAOA parameters on energy consumption. Furthermore, ten job variations are also presented to evaluate the performance of the HAOA algorithm and the results showed that HAOA iteration and the population did not affect the removal and processing of energy consumption, but impacted that of setup and idle. The comparison of these ten cases revealed that the proposed HAOA produced the best total energy consumption (TEC) when compared to the other algorithms.
Feature selection using regression mutual information deep convolution neuron networks for COVID-19 X-ray image classification
Authors: Yampaka Tongjai , Vonganansup Suteera , Labcharoenwongs Prinda
Published: October 2022

Chest radiography (CXR) image is usually required for lung severity assessment. However, chest X-rays in COVID-19 interpretation is required expert radiologists’ knowledge. This study aims to improve the COVID-19 X-ray image classification using feature selection technique by the regression mutual information deep convolution neuron networks (RMI Deep-CNNs). The dataset consists of 219 COVID-19, 500 viral pneumonias, and 500 normal chest X-ray images. CXR images were comprehensively pre-trained using DCNNs to extract the very large image features, then, the feature selection could reduce the complexity of a model and reduce the model overfitting. Therefore, the critical features were selected using regression mutual information followed by the fully connected with softmax layer for classification. For the classification of two alternative systems, these networks were compared (ResNet152V2 and InceptionV3). The classification performance for both schemes were 92.21%, 100%, 90% and 91.39%, 100%, 82.50%, respectively. In addition, RMI Deep-CNNs not only improve the accuracy but also reduce trainable features by over 80%. This approach tends to significantly improve the computation time and model accuracy for COVID‐19 classification.
Analysis of color features performance using support vector machine with multi-kernel for batik classification
Authors: Winarno Edy , Hadikurniawati Wiwien , Septiarini Anindita , Hamdani Hamdani
Published: October 2022

Batik is a sort of cultural heritage fabric that originated in many areas of Indonesia. It can be traced back to many different parts of Indonesia. Each region, particularly Semarang in Central Java, Indonesia, has its Batik design. Unfortunately, due to a lack of knowledge, not all residents can recognize the types of Semarang batik. Therefore, this study proposed an automated method for classifying Semarang batik. Semarang batik was classified into five categories according to this method: Asem Arang, Blekok Warak, Gambang Semarangan, Kembang Sepatu, and Semarangan. It is required to analyze the color features based on the color space to develop discriminative features since color was able to differentiate these batik patterns. Color features were produced based on the RGB, HSV, YIQ, and YCbCr color spaces. Four different kernels were used to feed these features into the Support Vector Machine (SVM) classifier: linear, polynomial, sigmoid, and radial basis functions. The experiment was carried out using a local dataset of 1000 batik images classified into five classes (each class contains 200 images). A cross-validation test with a k-fold value of 10 was performed to analyze the method. In each of the SVM Kernels, the results showed that the proposed method achieved an accuracy value of 100% by utilizing the YIQ color space, which was reliable throughout all the tests.
Deep neural network-based physical distancing monitoring system with tensorRT optimization
Authors: Kurniawan Edi , Adinanta Hendra , Suryadi Suryadi , Sirenden Bernadus Herdi , Ula Rini Khamimatul , Pratomo Hari , Purwowibowo Purwowibowo , Prakosa Jalu Ahmad
Published: October 2022

During the COVID-19 pandemic, physical distancing (PD) is highly recommended to stop the transmission of the virus. PD practices are challenging due to humans' nature as social creatures and the difficulty in estimating the distance from other people. Therefore, some technological aspects are required to monitor PD practices, where one of them is computer vision-based approach. Hence, deep learning-based computer vision is utilized to automatically detect human objects in the video surveillance. In this work, we focus on the performance study of deep learning-based object detector with Tensor RT optimization for the application of physical distancing monitoring system. Deep learning-based object detection is employed to discover people in the crowd. Once the objects have been detected, then the distances between objects can be calculated to determine whether those objects violate physical distancing or not. This work presents the physical distancing monitoring system using a deep neural network. The optimization process is based on TensorRT executed on Graphical Processing Unit (GPU) and Computer Unified Device Architecture (CUDA) platform. This research evaluates the inferencing speed of the well-known object detection model You-Only-Look-Once (YOLO) run on two different Artificial Intelligence (AI) machines. Two different systems-based on Jetson platform are developed as portable devices functioning as PD monitoring stations. The results show that the inferencing speed in regard to Frame-Per-Second (FPS) increases up to 9 times of the non-optimized ones, while maintaining the detection accuracies.
Registro de la perdiz veracruzana o Chivizcoyo (Dendrortyx barbatus Gould) en la sierra norte de Oaxaca, México
Authors: Aguilar-Rodríguez Sergio H.
Published: October 2022

Se describe el primer registro de la Perdiz Veracruzana o Chivizcoyo (Dendrortyx barbatus) en la Sierra Norte de Oaxaca. Los métodos usados para obtener su registro así como la vegetación del área son descritos. Se menciona el conocimiento local autóctono de ave y su importancia económica, pese a no haber sido anteriormente registrada por ornitólogos. Se discuten evidencias que agregan certeza al registro y se menciona la importancia de éste para la ampliación de su rango de distribución.
Primer registro del colibrí cola canela (Amazilia tzacatl) en el estado de Guanajuato, México.
Authors: Zamorano Sámano María Teresa , García Rubio Oscar Ricardo
Published: October 2022

Reportamos los primeros registros del colibrí cola canela (Amazilia tzacatl) para el estado de Guanajuato, México. En dos ocasiones, durante marzo 2020, observamos un colibrí cola canela en parques urbanos de la ciudad de León, alimentándose de flores de muérdago (Psittacanthus calyculatus) y tabaquillo sudamericano (Nicotiana glauca). Cabe mencionar que en ambas ocasiones ubicamos a los ejemplares en vegetación secundaria cerca de cuerpos de agua. Distinguimos al colibrí cola canela por el color marrón castaño de las rectrices centrales, la cola cuadrada y las cobertoras infracaudales de color marrón castaño. Estos avistamientos confirman la extensión de la distribución de la especie a la región biogeográfica Neártica, específicamente en la Provincia Austro-Central.