Reviewerly/exHarmony huggingface dataset:
Elemental Composition Analysis of Soil Samples from Bayelsa State in the Niger Delta Region of Nigeria

This study analysis the elemental composition and concentration of elements in the soils of the study area to ascertain degree of elemental enhancement in the soil resulting from anthropogenic activities with possible soil contamination, human health and environmental detriment. The study area was divided into eight grids and two soil samples per grid from over burden to a depth of 900mm was collected randomly in each grid. The samples were prepared using standard methods and analyzed with a linear accelerator. The number of detectable elements and their quantitative information was extracted from the elemental spectral signatures. . The result showed a high concentration value in some elements in the soil samples above values of elemental concentrations in soils from other reported studied region. In addition, Aluminium, Strontium, Barium, Gallium etc also showed an extremely high value in their concentration that exceeds the world wide mean range upper limit values in crustal soil study published. The study indicates some degree of potential contamination and therefore necessitate a regular periodic monitoring study to reduce potential health detriment to humans and the environment to as low as reasonably possible.
White Shark Optimizer for Multi-Objective Optimal Allocation of Photovoltaic Distribution Generation in Electrical Distribution Networks Considering Different Kinds of Load Models and Penetration Levels

In recent times, reduction of greenhouse gas (GHG) emission in conventional power grids becomes most important towards global sustainability.Thus, adaption of renewable energy (RE) sources in electricity sector has become alternative solution.Photovoltaic (PV) technology has become most adapted RE technology even at small scale consumers levels due to their clean and noiseless operation, low investment and operational cost and easy to install and maintenance.In this paper, a new heuristic approach white shark optimizer (WSO) is introduced for solving the PV based distribution generation (DG) in electrical distribution networks (EDNs).Loss minimization, voltage profile improvement and reduction in GHG emission are considered for formulating the proposed multiobjective function.Simulation studies are performed on IEEE 33-bus EDN for different kinds of load penetrations.The computational efficiency of WSO is quantified using 50 independent simulations and compared with various other recent algorithms such as pathfinder algorithm (PFA), mayfly optimization algorithm (MOA), coyote optimization algorithm (COA), and future search algorithm (FSA).In various case studies, WSO has resulted for best solution than compared algorithms.A similar kind of overall improvement is observed even for increased load penetration levels along with improved voltage profiles by having PV based DGs in EDN optimally.
A Masked Facial Landmarks Localization Method Considering the Mask-Face Contact Characteristics

At present, it has become normal for people to travel with masks. In order to meet the challenge of face recognition caused by mask occlusion, a new method for landmark localization of masked face was proposed in this study. Correspondingly, a 68-point shape model including face and mask was designed and the distribution of the related landmarks was pre-positioned according to the fitting characteristics between the face and mask. To generate a regressor with function of accurate localization of facial landmarks, the masked face dataset marked by the shape model was constructed; Meanwhile, the regression tree integration algorithm was used to accurately locate the pre-positioned landmarks of the masked face. By means of the method established in this study, the tested value of IPN and ION is respectively equal to 5.68 and 3.65, being less than those of other classical algorithms. The experimental results indicate that this method can achieve an acceptable landmark localization effect and is likely to provide certain technical supports for the masked face recognition.
The Twenty Fifth International Conference “Information technologies, computer systems and publications for libraries” (“LIBCOM–2021”): reviewing the events

The Twenty Fifth International Conference “LIBCOM–2021” – “Information technologies, computer systems and publications for libraries” (December 20–24, 2021, Suzdal, Vladimir Region) is reviewed. The key topics of the conference are presented: current state and prospects for new information, computer and Internet-based technologies in libraries, federal projects and programs by the RF Ministry of Science and Higher Education and Ministry of Culture, innovations in modern educational technologies, legal aspects in the work of libraries and information providers, e-libraries and digital information resources. The focus is made on the following events: scientific and practical conference of the National Library Association “Libraries of the Future” (NALF), the sixth industry conference “Book publishing and libraries: Vectors of interaction” dedicated to the memory of Boris V. Lensky, open session “Digital transformation of libraries: Building digital ecosystems, information archives and new services”, “School libraries under digiti-zation”, Cataloger’s Winter School “The news in the regulative and legal support of library collection development”; dissertation site--public academic board. The conclusions are made.
Artificial Intelligence-Based Billing System

In our daily lives, we conduct billions of payment transactions, yet each payment method requires the transport of a substance. It is typical for users to have a variety of payment materials on hand, such as cash, credit cards, and even mobile phones. Meanwhile, these goods are easily stolen or misplaced. People suffer enormous trauma as a result of these incidents. This chapter details a biometric payment application created to introduce the concept of hardware less payments. It allows users to pay anytime and anywhere by registering their finger without any hardware. This involves registering user information once, and then all subsequent transactions are confirmed and processed by the user's fingerprint, with the application managing the entire process. This solution creates a new payment option and eliminates the risk of shipping valuables abroad. For the company, this application enables an efficient and secure payment system.
On Some Questions of Academic Globalization and Synergy in Scientific Research

The article examines the problems related to the academic education and scientific research in the context of the Fourth Industrial Revolution and the new public reality. The authors analyze applicable sources in the sphere of higher education on national and European level regulating the academic globalization and the synergy of the scientific research, as well as the guidelines for multidisciplinarity of academic work in the context of the ideas for a new type system of scientific research orientation. Based on the research actual questions are put on the field of the scientific debates, as well as summaries and conclusions are formulated with a view of updating the legal framework.
Comparison of irradiance forecasts from operational NWP model and satellite-based estimates over Fennoscandia

&amp;lt;p&amp;gt;With the increase of solar power use, the need for solar irradiance forecasts is also increasing. Solar power is a naturally fluctuating energy source, which makes solar irradiance forecasts necessary for e.g. grid integration and management. Both the use of solar energy and the need for forecasts are present also in the Nordic countries, where the sub-Arctic latitude brings its own challenges.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Various methods exist for forecasting solar irradiance. Numerical Weather Prediction (NWP) models have been found superior for forecasting for the following days, while satellite-based models are found suitable for the first few hours of the forecast. The satellite-based model Solis-Heliosat has been found to perform well also in the high latitudes. The current operational NWP models in Finland, however, have not been yet extensively validated for this purpose.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;To determine the suitability of the operational NWP models for forecasting solar irradiance in the Nordic countries, we have comparatively validated the MetCoOp Ensemble Model (MEPS), and the MetCoOp Nowcasting Model (MNWC) against in situ irradiance measurements at several stations in Finland and Sweden. We have also included the Solis-Heliosat model in the study, to improve our understanding on the differences and the relative accuracy between the NWP and satellite-based models. As a benchmark, two persistence models are included. The comparison is made for one summer, including all model runs and all MEPS ensemble members, with both hourly and 15&amp;amp;#160;minute output depending on the model.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The results show all models to somewhat under predict irradiance. MEPS shows very good performance in the full length of the forecast, while Solis-Heliosat is better in the first 2-3 hours of the forecast. Solis-Heliosat has some difficulty with the forecasts starting in the morning, whereas MNWC slightly struggles in the afternoon.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Overall we find the NWP models very suitable for forecasting solar irradiance in Finland and Sweden, particularly with the full forecast horizon of MEPS, and the 15-minute time step of MNWC. Nevertheless, Solis-Heliosat brings further value to the beginning of the forecast.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Kallio&amp;amp;#8208;Myers, V., Riihel&amp;amp;#228;, A., Schoenach, D., Gregow, E., Carlund, T., &amp;amp; Lindfors, A. V. (2022). Comparison of irradiance forecasts from operational NWP model and satellite&amp;amp;#8208;based estimates over Fennoscandia. &amp;lt;em&amp;gt;Meteorological Applications&amp;lt;/em&amp;gt;, &amp;lt;em&amp;gt;29&amp;lt;/em&amp;gt;(2), e2051.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;
Fast and accurate face recognition system using MORSCMs-LBP on embedded circuits

Because of the current COVID-19 circumstances in the world and the tremendous technological developments, it has become necessary to use this technology to combat the spread of the new coronavirus. The systems that depend on using hands, such as fingerprint systems and PINs in ATM systems, could lead to infection, so they have become undesirable and we can replace them by using facial recognition instead. With the development of technology and the availability of nano devices like the Raspberry Pi, such applications can be implemented easily. This study presents an efficient face recognition system in which the face image is taken by a standalone camera and then passed to the Raspberry Pi to extract the face features and then compare them with the database. This approach is named MORSCMs-LBP by combining two algorithms for feature extraction: Local Binary Pattern (LBP) as a local feature descriptor and radial substituted Chebyshev moments (MORSCMs) as a global feature descriptor. The significant advantage of this method is that it combines the local and global features into a single feature vector from the detected faces. The proposed approach MORSCMs-LBP has been implemented on the Raspberry Pi 4 computer model B with 1 GB of RAM using C++ OpenCV. We assessed our method on various benchmark datasets: face95 with an accuracy of 99.0278%, face96 with an accuracy of 99.4375%, and grimace with 100% accuracy. We evaluated the proposed MORSCMs-LBP technique against other recently published approaches; the comparison shows a significant improvement in favour of the proposed approach.
Lead-Time Reduction of Machining Process Using FOM Analysis Based on 4M Data of Large Vacuum Chamber

Digital transformation of small- and medium-sized enterprises is required to improve quality and productivity by collection and analysis of manufacturing data, and satisfaction of delivery dates for competitiveness. For example, a smart-factory operation management solution was performed by analyzing data to reduce the lead time for each process and efficiently operate facilities in manufacturing a small made-to-order large vacuum chamber. For each factor, the non-operation time , and an improvement effect was predicted. Thus, many companies that manufacture a small quantity can achieve process optimization of made-to-order product and develop a foundation for smart factory operations and productivity improvements based on data.
Implementation of ensemble Kalman filter algorithm for underwater target tracking

Surveillance of underwater for maritime warfare is traditionally being carried out by bearings-only tracking from many decades. The measurements used for state estimation here are nonlinear. Also the noise in the measurements and the process cannot be always Gaussian. The traditional nonlinear filtering algorithms like extended Kalman filter and modified gain extended Kalman filter use the linearisation of the system. The unscented Kalman filter (UKF) uses the sigma point approach based on Gaussian distribution to deal with nonlinearity. The particle filter (PF) uses the randomly generated particles based on the pdf of the state. PF is highly complex to implement and it also suffers from sample impoverishment. Hence, ensemble Kalman filter (EnKF) which is a simplified form of PF will be tried out for bearings-only tracking in this research work. The performance of EnKF is compared with PF and UKF and the results obtained using these filters in Matlab are presented.
iFall-An Android Application for Fall Monitoring and Response

Injuries due to falls are among the leading causes of hospitalization in elderly persons, often resulting in a rapid decline in quality of life or death. Rapid response can improve the patients outcome, but this is often lacking when the injured person lives alone and the nature of the injury complicates calling for help. This project presents an alert system for fall detection using common commercially available electronic devices to both detect the fall and alert authorities. We use an Android based smart phone with an integrated tri-axial accelerometer. Data from the accelerometer is evaluated with several threshold based algorithms and position data to determine a fall. The threshold is adaptive based on user provided parameters such as: height, weight, and level of activity. The algorithm adapts to unique movements that a phone experiences as opposed to similar systems which require users to mount accelerometers to their chest or trunk. If a fall is suspected a notification is raised requiring the user’s response. If the user does not respond, the system alerts pre-specified social contacts with an informational message via SMS. If a contact responds the system commits an audible notification, automatically connects, and enables the speakerphone. If a social contact confirms a fall, an appropriate emergency service is alerted. Our system provides a realizable, cost effective solution to fall detection using a simple graphical interface while not overwhelming the user with uncomfortable sensors.
7‐4: Correction Algorithm for Under‐Display Camera Area on AMOLED Display

In this paper, we correct the necessary image algorithm such as sub‐pixel rendering (SPR) and de‐mura (DMR) for under‐display camera (UDC) area on AMOLED display. Because the wiring of TFT pixel circuit and structure are different between UDC and normal area, it results in color shifts and brightness nonuniformity in the UDC area. The new correction algorithms we propose are based on the existing architecture, distinguish the position coordinates of the two areas, and give a new correction method for the UDC area. The new algorithms have been integrated into the new DDIC NT37701 and have been mass‐produced for smartphone products.
Characterization of MEMS Inertial Measurement Unit Package with Digital Image Correlation

In the field of MEMS and sensors, package has also to allow the ‘sensing’ of external ambient without influence the measurement of the target physical quantity. It follows that package plays a primary role since it may strongly affects the device behavior and performance. Depending on the application and mission profile, design and package technology need to be targeted in order to fit the best the given requirements. Ceramic cavity packages limit the stress transfer to the MEMS due to the high mechanical stiffness and to the coefficient of thermal expansion that can be considered matched versus that of silicon sensor ensuring high performance in terms of stability. On the opposite the thermomechanical parameter of ceramic are in discrepancy with the one of PCB and this lead to a higher stress on the solder joint between component and board. In this paper it is presented a package structure that has the target to achieve the best tradeoff between device stability and reliability requirements. The introduction of a Silicon Interposer add a degree of freedom to the structure allowing the possibility for an optimal material and design. Numerical analysis has been performed to properly design the package. Correlation with a study on full device with field displacement characterization technique based on digital image correlation (DIC) is demonstrated.
Efisiensi Pengaturan Jadwal Perkuliahan Menggunakan Pendekatan Pewarnaan Graf

The schedule for each course should be arranged such that the course taken by the same student or involving the same lecturer are not scheduled on the same day and time. This is to avoid conflicting schedules for students and lecturers. In the odd semester academic year 2021/2022, there were 23 courses scheduled at the study program of Mathematics, Universitas Jambi. The students in semesters 1 and 5 were divided into 2 classes, respectively, due to a large number of students in that semester. Therefore, the arrangement of the course schedule was getting more complicated. This research aimed to arrange the course schedule so that there is no clash by using the graph coloring approach. This research was classified as case study research and applied the descriptive method. The arrangement of the course schedule began with modeling the problem in the form of a graph and then using the Welch Powell algorithm to color the vertices in the graph. The graph consists of 36 vertices and 215 edges. By applying the Welch-Powell algorithm, the chromatic number obtained was 10, which means there are 10 optimum sessions or 10 minimum sessions of the course schedule in the odd semester in the Mathematics study program Universitas Jambi. Based on this result, the grouping of courses can be obtained that can be scheduled on the same day and at the same time.
Effect of ENSO on Seasonal Temperature Over Tamil Nadu

Increased concentration of greenhouse gases is expected to alter the radiative balance of atmosphere, causing increase in temperature and changes in precipitation patterns. Climate variability has been principal source of fluctuations in Indian food production. Even though there is no long-term trend, inter - annual variability of Indian monsoon rainfall leading to frequent droughts and floods has profound influence on agriculture and intern, national economy. It is well recognized that El Niño / Southern Oscillation (ENSO) is the dominant mode of climate variability on seasonal to inter-annual scales and its impacts are felt worldwide. ENSO often affects seasonal temperature, precipitation and thus crop yields in many regions, however, the overall impacts of ENSO on global yields are uncertain Maximum and minimum average temperature was calculated for different seasons such as Cold Weather Period (CWP), Hot Weather Period (HWP), South West Monsoon (SWM), North East Monsoon (NEM) for each El Niño, La Niña and neutral years at various districts of Tamil Nadu. Relation between ENSO and temperature was analyzed by computing the anomaly in temperature at different districts of Tamil Nadu. The temperature deviation between the ENSO and neutral phases was not significant as the deviation was within + 0.3oC in all the seasons.
Design and application research of mine underground disaster relief personnel positioning system based on MEMS sensor

In order to solve the problem of low positioning accuracy of disaster relief personnel and rescue efficiency when a disaster occurs in a coal mine, this paper proposes a disaster relief personnel positioning system for coal mine based on Micro-Electro-Mechanical System (MEMS) sensor. The proposed system uses the MPU9150 inertial sensor to obtain measurement data and the CC2530 microprocessor as the main control chip for data acquisition and processing. In the proposed system, the Pedestrian Dead Reckoning (PDR) algorithm is used to determine the step size based on the fusion expression between the walking frequency variance and acceleration, and the quaternion method is used to estimate pedestrian orientation angle. In order to reduce the error caused by the drift of the accelerometer and gyroscope, the extended Kalman filter is employed to correct the original data. The experimental results show that the positioning error of the proposed system is less than 1.6 m in 100 m. Thus, the proposed method can achieve high accuracy in the disaster relief personnel positioning in an underground coal mine.
An Attribute-Based Encryption Method Using Outsourced Decryption and Hierarchical Access Structure

Cloud computing is being rapidly adopted by many organizations from different domains and large amounts of data is stored in the cloud. In order to ensure data security, the attribute-based access control mechanism has been emerging recently as a fine-grained access control model that grants access based on the data user’s attributes. In this model, the data owner builds the access policy using the attributes of the data users and access to the data is granted only if the requirements of such an access policy are satisfied. Ciphertext policy-based attribute-based encryption (CPABE) is one of the most widely used methods for providing encrypted access control. Complex, time consuming and costly paring operations are the major issue with the CPABE method. Hence, another efficient method is needed to reduce the data user’s overhead while decrypting data. This paper presents an efficient method consisting in outsourcing decryption operations to a third-party server, so that complex operations may be performed by that machine with only some simple calculations left on the data user’s side. The concept of a hierarchical access structure is also integrated with the traditional CPABE technique. The hierarchical approach enables the data owner to encrypt multiple data using a single common hierarchical access structure. This allows the user to decrypt only the relevant part of ciphertext, depending on which fragment of the hierarchical access structure is satisfied. The paper evaluates also the performance of the proposed model in terms of time and storage cost.