Stopping Point Research Articles

Energy-efficient trajectory optimization algorithm based on K-medoids clustering and gradient-based optimizer for multi-UAV-assisted mobile edge computing systems

The mobile edge computing system supported by multiple unmanned aerial vehicles (UAVs) has gained significant interest over the last few decades due to its flexibility and ability to enhance communication coverage. In this system, the UAVs function as edge servers to offer computing services to Internet of Things devices (IoTDs), and if they are located distant from those devices, a significant amount of energy is consumed while data is transmitted. Therefore, optimizing UAVs’ trajectories is an indispensable process to minimize overall energy consumption in this system. This problem is difficult to solve because it requires multiple considerations, including the number and placement of stop points (SPs), their order, and the association between SPs and UAVs. A few studies in the literature have been presented to address all of these aspects; nevertheless, the majority of them suffer from slow convergence speed, stagnation in local optima, and expensive computational costs. Therefore, this study presents a new trajectory optimization algorithm, namely ITPA-GBOKM, based on a newly proposed transfer-based encoding mechanism, gradient-based optimizer, and K-Medoids Clustering algorithm to tackle this problem more accurately. The K-medoid clustering algorithm is used to achieve better association between UAVs and SPs since it is less sensitive to outliers than the K-means clustering algorithm; the transfer function-based encoding mechanism is used to efficiently define this problem’s solutions and manage the number of SPs; and GBO is utilized to search for the best SPs that could minimize overall energy consumption, including that consumed by UAVs and IoTDs. The proposed ITPA-GBOKM is evaluated using 13 instances with several IoTDs ranging from 60 to 700 to show its effectiveness in dealing with the trajectory optimization problem at small, medium, and large scales. Furthermore, it is compared to several rival optimizers using a variety of performance metrics, including average fitness, multiple comparison test, Wilcoxon rank sum test, standard deviation, Friedman mean rank, and convergence speed, to show its superiority. The experimental results indicates that this algorithm is capable of producing significantly different and superior results compared to the rival algorithms.

The evaluation of SARS-CoV-2 mutations at the early stage of the pandemic in Istanbul population

BackgroundDetermination of SARS-CoV-2 variant is significant to prevent the spreads of COVID-19 disease.MethodsWe aimed to evaluate the variants of SARS-CoV-2 rate in positive patients in Kanuni Sultan Suleyman Training and Research Hospital (KSS-TRH), Istanbul, Türkiye between 1st January and 30th November 2021 by using RT-PCR method.ResultsHerein, 825,169 patients were evaluated (male:58.53% and female:41.47%) whether COVID-19 positive or not [( +):21.3% and (−):78.7%] and 175,367 patient was described as positive (53.2%-female and 46.8%-male) by RT-PCR. COVID-19 positive rate is observed highest in the 6–15- and 66–75-year age range. The frequencies were obtained as SARS-CoV-2 positive (without mutation of B.1.1.7 [B.1.1.7 (U.K), E484K, L452R, B.1.351 (S. Africa/Brazil) spike mutations] as 66.1% (n: 115,899), B.1.1.7 Variant as 23.2% (n:40,686), Delta mutation (L452R) variant as 9.8% (n:17,182), B.1.351 variant as 0.8% (n:1370) and E484K as 0.1% (n: 230). In April 2021, general SARS-CoV-2 and B.1.1.7 variant were dominantly observed. Up to July 2021, B.1.617.2 (Delta variant/ Indian variant) and E484K has been not observed. B.1.351 variant of SARS-CoV-2 has been started in February 2021 at the rarest ratio and March 2021 is the top point. September 2021 is the pick point of E484K. African/Brazil variant of SARS-CoV-2 has been started in February 2021 at the rarest ratio and March 2021 is the top point. September 2021 is the pick point of E484K. When the gender type is compared within the variants, women were found to be more prevalent in all varieties.ConclusionsThe meaning of these mutations is very important to understand the transmission capacity of the COVID-19 disease, pandemic episode, and diagnosis of the virus with mutation types. Understanding the variant type is important for monitoring herd immunity and the spread of the disease.

Exploring Journey Maps as Products From Qualitative Research: Application Through Food Insecure Veterans' Experiences.

Journey maps are graphic representations of participant, user, customer, or patient experiences or "journeys" with a particular phenomenon, product, business, or organization. Journey maps help visualize complex pathways and phases in accessible, digestible ways. They also capture emotions, reactions, and values associated with the processes participants undergo, complemented by images or quotes from participants. Here, we outline the foundations of journey maps in research and in practice settings. Our goal is to describe journey maps to researchers new to the product and emphasize the novelty and utility of journey maps as visual products from qualitative research particularly in a health setting. To explore journey maps-including their benefits, drawbacks, and relevance-we discuss examples including our own process for designing a journey map of food insecure Veterans' experiences using qualitative, in-depth interviews and supported by member checking. Our journey map depicts food insecurity as a repetitive process, a unique contribution given that many journey maps are designed with discrete starting and stopping points. We conclude by discussing the novelty of journey maps as innovative products that researchers can use to identify opportunities for process improvements and innovation using multiple data sources or methods.

3D track extraction from a fluorescent nuclear track detector via machine learning and an application to diagnostics of laser-driven ions.

We have developed an ion diagnostic method for laser-driven ion acceleration experiments that uses fluorescent nuclear track detectors (FNTDs). An FNTD records the particle tracks as color centers and does not require chemical etching, unlike CR-39 track detectors. The color centers are observed using a confocal laser microscope, and 3D particle tracks can be obtained by changing its focal position. The intensity of the color centers corresponds to the energy deposited by the ions. The nuclides of the ions can be determined from the intensity distribution of the color centers as a function of depth and the distance between the stopping point and the surface of the detector. To extract the intensity distribution, we must track the same ion tracks in the depth-layered microscopic images from the surface to the stopping point, even if they overlap with those of other ions. In addition, since an FNTD is sensitive not only to ions but also to electrons and photons, we must identify ion tracks among those from the latter particles. To analyze a statistical number of ion tracks, it is necessary to automate these processes. We have thus developed a method for automated ion detection and 3D tracking that relies on a support vector classifier and a kernelized correlation filter. This method was tested on a laser ion acceleration experiment performed using the J-KAREN-P laser. The method automatically detects ion tracks on FNTDs and tracks them in the depth direction. The training data are sampled from the Heavy-Ion Medical Accelerator in Chiba.

A COMPARATIVE STUDY OF HEADWAY-BASED AND TRANSPORT SYSTEM-BASED ASSIGNMENTS OF PUBLIC TRANSPORT IN VISUM: THE CITY OF KRYVYI RIH CASE

Many researchers have explored public transport assignment methodologies employing transport modelling software. Nevertheless, there remains a gap in evaluating real-world public transit networks utilizing diverse assignment procedures within Visum software. This paper introduces a thorough comparison of algorithms involved in public transport assignment processes, using the transport model of the city of Kryvyi Rih in Ukraine. The three scenarios of the model were developed depending on the public transport assignment procedure: headway-based, transport system-based utilized to all links, turns, and major turns in the network graph, and transport system-based applied only to the links, turns, and major turns traversed by the active public transport lines. The model of the network comprises 13 transport systems, 7 transport modes, 27598 links, 10097 nodes, 83270 turns, 238 zones, 1748 connections for private transport, 3013 connections for public transport, 534 stops, 1165 stop areas, 1190 stop points, 130 lines and 218 line routes. The transport demand model encompassed 14 demand segments. Compared to the outputs of the model calculation using the headway-based procedure, in the scenarios with transport system-based assignment, passenger flows on rail tram lines significantly decreased. Also, the results of scenarios with transport system-based assignment showed that the passengers extremely use parallel streets for travel from an origin to a destination. The modelling outputs for an actual urban network illustrate that the choice of the shortest route in the transport system-based assignment is closely linked to the main urban roads. This circumstance could potentially result in a rise in the number of transfers needed to sustain accessibility to districts residing far from the central highway.

FORMATION OF A NETWORK OF EVACUATION BUS ROUTES FOR THE SALTIV RESIDENTIAL AREA OF KHARKIV

Evacuation mobility of the population during military operations or emergencies is one of the most vital tasks in ensuring the safety and rescue of citizens. Planning this mobility requires a conceptual approach, system analysis, and a comprehensive preparatory stage. The primary task for organising the population’s bus transportation during evacuation is planning routes and determining their time parameters. This process requires preliminary determination of the points of traffic organisation, establishment of routes and meeting points, allocation of resources, and coordination of work with other types of passenger transport. The study aims to develop the sequence of formation of evacuation bus routes in the Saltiv residential area of Kharkiv and to establish the functional effect of operational parameters of their work on the duration of population evacuation. The methodological basis for building a network of evacuation bus routes is a developed structural model of the impact of input parameters on the general evacuation time for the population and the transport capabilities of the routes. This model describes the functional relationship between the existing volume of passenger transportation on urban transport routes, the share of passengers subject to evacuation, the number of stopping points on evacuation routes, the length of routes, the speed of movement, the time of boarding and disembarking the passengers, the capacity of buses and their number. The criterion for evaluating the efficiency of the routes is the total time of population evacuation, depending on the number of buses on the routes. Based on the analysis of the location of shelter facilities and transfer stations on the subway line, we established that it is expedient to create seven evacuation routes that ensure the timely evacuation of the population. After assessing the available passenger traffic on city transport routes, we determined the potential demand for evacuation transportation. The analysis of the operational parameters of the routes made it possible to specify the time indicators for the evacuation of the population. The analysis of the interaction processes resulted in a diagram of the structural contour of the functional connection. The developed analytical models helped to establish several indicators characterising the operation of evacuation bus routes. The developed theoretical foundations are the basis for simulation modelling and setting the regularity of changes in evacuation efficiency assessment indicators depending on the number and capacity of buses. Based on the real-life conditions, the study determined the need to use two buses on each route to evacuate the population in the district. Such conditions will ensure the transfer of the population to the safe zones within 18.3 to 31.7 hours. Keywords: population evacuation, bus, evacuation route, volume of transportation, travel time.

Multimodal urban mobility solutions for a smart campus using artificial neural networks for route determination and an algorithm for arrival time prediction

Artificial intelligence algorithms play a key role in solving multimodal urban mobility problems, this study outlines a scheme covering bus, boat, and pedestrian transport modes. This involves designing an Artificial Neural Network (ANN) model to classify the most suitable routes for passengers, together with an algorithm capable of estimating the arrival times of various transportation modes at designated stopping points or buildings within the smart campus. The information used to train the ANN is obtained from an Internet of Things (IoT) network and a database that includes the available routes within the campus (which is situated in the Brazilian Amazon), where there is a multimodal electric mobility service. In seeking to achieve the objectives, this ANN relied on the user's geographic location in the input layer, and route mapping data stored in the database in the output layer, as well as the backpropagation algorithm for computational processing and adjustments of synaptic weight. The algorithm for modal arrival time prediction used real-time geographic location data, together with the Haversine formula to calculate geographic distance, while the average speed was obtained from the IoT network. A range of different ANN parameters were included in the experiments. In the study case, the ANN results show an improvement of above 92% for determining the best routes and predicting arrival times. The findings show that ANNs can effectively find the best route within a real-world smart campus environment. Moreover, the results show the arrival time can be estimated by using real-time geographic location data.

A novel theory for rapid localization of the transverse-sigmoid sinus junction and “keyhole” in the retrosigmoid keyhole approach: micro-anatomical study, technique nuances, and clinical application

To determine a rapid and accurate method for locating the keypoint and “keyhole” in the suboccipital retrosigmoid keyhole approach. (1) Twelve adult skull specimens were selected to locate the anatomical landmarks on the external surface of the skull.The line between the infraorbital margin and superior margin of the external acoustic meatus was named the baseline. A coordinate system was established using the baseline and its perpendicular line through the top point of diagastric groove.The perpendicular distance (x), and the horizontal distance (y) between the central point of the “keyhole” and the top point of the digastric groove in that coordinate system were measured. The method was applied to fresh cadaveric specimens and 53 clinical cases to evaluate its application value. (1) x and y were 14.20 ± 2.63 mm and 6.54 ± 1.83 mm, respectively (left) and 14.95 ± 2.53 mm and 6.65 ± 1.61 mm, respectively (right). There was no significant difference between the left and right sides of the skull (P > 0.05). (2) The operative area was satisfactorily exposed in the fresh cadaveric specimens, and no venous sinus injury was observed. (3) In clinical practice, drilling did not cause injury to venous sinuses, the mean diameter of the bone windows was 2.0–2.5 cm, the mean craniotomy time was 26.01 ± 3.46 min, and the transverse and sigmoid sinuses of 47 patients were well-exposed. We propose a “one point, two lines, and two distances” for “keyhole” localization theory, that is we use the baseline between the infraorbital margin and superior margin of the external acoustic meatus and the perpendicular line to the baseline through the top point of the digastric groove to establish a coordinate system. And the drilling point was 14.0 mm above and 6.5 mm behind the top point of the digastric groove in the coordinate system.

Design and simulation of system to prevent runway overrun during landing of civil aircraft

Abstract The airborne runway overrun prevention system predicts landing distance by utilizing real-time aircraft status parameters obtained through onboard sensors. This system offers early warnings to pilots, thereby enhancing flight safety. This paper introduces a design scheme for a runway overrun prevention system considering aircraft dynamic performance. Initially, the study analyzes the basic components and functional requirements of the system based on the Minimum Operational Performance Standard For A Runway Overrun Awareness And Alerting System by the European Aviation Safety Agency. Subsequently, the approach and landing phases are segmented into four stages, providing a methodology for calculating landing distance using a dynamic model. Finally, concluded with a simulation verification conducted on the X-Plane flight simulation platform, we test the visual alarm system of the proposed runway overrun prevention system. Simulation results demonstrate that, during the landing phase, the system dynamically calculates and updates stopping points for each braking mode based on the current braking method. In situations where there is a risk of runway overrun, the system issues timely and well-founded alarms.

CiaBOT: the circular design of an experimental microarchitecture between material and immaterial values

The transition to a circular economy entails new challenges for architects and designers. Among these, one challenge is to look at waste not only as new resources, from an environmental perspective, but also as bearers of information capable of communicating their history and origin. Moreover, waste can be considered as a means of activating unexpected knowledge and social connections. The article illustrates a circular design experimentation, conducted with architecture and design students and a wine farm, which led to the creation of the CiaBOT project, a belvedere aimed at enhancing the landscape and providing a temporary stopping point in the Monferrato hills (UNESCO World Heritage Site, Italy). CiaBOT is not only a belvedere but is a microarchitecture capable of conveying both material and immaterial cultural values. Its form and materials are intimately connected with the territory with and for which it was designed. These make CiaBOT a “space” of hybridization and dialogue between agricultural tradition and innovation. But it is also a “space” of fieldwork education and knowledge co-generation in which academic and non-academic stakeholders have measured themselves. Through the description of the different stages of the design process, the article is part of the debate on new sustainable ways of designing and building, reflecting on new models of circular economy based as much on design strategies and processes as on the enhancement of human labor and the use of technologies appropriate to the context and actors.

An Accurate and Rapid Docking Algorithm for Four-Way Shuttle in High-Density 3D Warehousing Environment

High-density 3D warehousing is the future cornerstone of modern logistics storage. It aims to efficiently manage and store various types of goods by utilizing 3D space and automation technology. The accurate and fast docking algorithm of the four-way shuttles, as a core method of carrying the goods in high-density 3D warehousing, has become an increasingly important technical challenge. Inaccurate docking will result in a failure to change direction, while long docking time will affect the operation efficiency of the four-way shuttle. To overcome these obstacles, this paper presents an accurate and rapid docking algorithm for four-way shuttles. Firstly, the deceleration and jerk of a four-way shuttle in the braking stage are initialized according to the motion parameter set calculated by the docking motion model. Then, the four-way shuttle starts to move until the stop signal has been detected. If the system fails to detect the stop signal, the distance compensation is needed to ensure that the four-way shuttle can arrive at the stop point. Finally, the four-way shuttle stops immediately by way of amplifying the deceleration when reaching the stop point. The result shows that the accuracy of rapid docking is superior to that of direct docking. Compared with crawling docking, rapid docking reduces the braking time by 3.99s and stops at a speed lower than the crawling speed. The rapid docking algorithm not only enhances the throughput of high-density 3D warehousing but also improves the service life of four-way shuttles.

Experimental investigation of heat transfer effects in impinging circular jets confined by inclined plates

In this study, the effects of heat transfer in turbulent flow fields of impinging circular jet confined by inclined plates were investigated experimentally. Temperature distributions on the impingement plates were acquired with thermal camera. Temperature measurements were carried out on the impingement plate in four different impinging circular jet flow setups confined by plates with inclination angles of θ = 0°, 15°, 30° and 45°, with an inter-plate spacing of 0.5 ≤ H/D ≤ 10 and a Reynolds number range of 20,000 ≤ Re ≤ 30,000. The effects of confinement plate inclination angle, intervals among plates and Reynolds number on the Nusselt distributions of the impingement plates were examined. It was found that Nusselt values on the impingement plate increase with increasing Reynolds number and decrease with increasing intervals among plates. Secondary top points become visible in the Nusselt distributions on the impingement plate at H/D ≤ 3 values of the inter-plate spacing. The position of the secondary top points on the impingement plate move towards the ends of the impingement plate with increasing inclination angle of confinement plate.

Effect of the duration of vehicles’ idleness at transfer hubs of urban passenger transport on the conditions of synchronization of passenger transfers

Problem. The task of synchronizing the time of passengers' transfers between routes has been defined as one of the important directions for improving the operation of urban passenger transport in the transport and transfer hub. The simultaneous presence of route vehicles within the stops makes it possible to transfer passengers without waiting. Due to the action of external factors, compliance with the terms of coordination of the vehicles’ arrival at the transport hub is significantly complicated, which leads to a decrease in the efficiency of synchronization of passenger transfers and requires the implementation of additional management measures. Goal. The purpose of the work is to determine the effect of the duration of idleness of route vehicles in a transport interchange on the parameters of synchronization of passenger transfers and conflicting traffic within the stops. Methodology. The methodological basis for establishing the effect of the duration of vehicles’ idleness in a transport interchange on the efficiency of synchronization of passenger transfers is the developed structural model of the interaction of incoming route flows. Such a model describes the functional relationship between the traffic parameters of route vehicles, the distance between the initial stopping point of the route and the transfer point, the technical speed on network sections, the traffic intensity on routes, the idle time at intermediate stopping points, the average time of a passenger transfer and the number of conflict situations. Results. In the process of analyzing the object of the study, it was determined that it is possible to improve the conditions of synchronization of passenger transfers by increasing the duration of the stay of route vehicles at the stops. It was determined that the key role in synchronizing the transfer of passengers is played by the determination of the departure time of route vehicles from the initial stopping point, accounting for external impacts and laws of distribution of random values of the technical speed and the idle time at intermediate points. The developed circuit of functional communication allows to present the process of finding vehicles in a transport interchange as a complex system of synchronization of the route flows interaction. Originality. It is proposed to use a rational time of route vehicles idleness at the stop points of the transport and transfer hub, which allows to partially compensate for the decrease in the effectiveness of the synchronization of passenger transfers. When determining the time of vehicles idleness, the frequency of traffic conflicts that occur with adjacent routes at stopping points is also taken into account. The obtained regularities are presented in the form of characteristic functions, which allow to evaluate the effect of the duration of route vehicles stay in the transport interchange hub on the parameters of the efficiency of route flows interaction. Practical value. According to the results of experimental studies, the dependences of changes in the average passenger transfer time and conflicting traffic of route vehicles were established for the transport and transfer hub "Odeska St." (Kharkiv). It was determined that in the conditions of synchronization of the traffic schedule, the idle time of route vehicles within 180 seconds is rational. This enables to reduce the time of inter-route transfer of passengers and ensure a low level of conflict of the route vehicles traffic.

Effect of Salt Solution Tracer Dosage on the Transport and Mixing of Tracer in a Water Model of Asymmetrical Gas-Stirred Ladle with a Moderate Gas Flowrate

In previous research simulating steelmaking ladles using cold water models, the dosage/volume of the salt tracer solution is one of the factors that has been overlooked by researchers to a certain extent. Previous studies have demonstrated that salt tracers may influence the flow and measured mixing time of fluids in water models. Based on a water model scaled down from an industrial 130-ton ladle by a ratio of 1:3, this study investigates the impact of salt tracer dosage on the transport and mixing of tracers in the water model of gas-stirred ladle with a moderate gas flow rate. A preliminary uncertainty analysis of the experimental mixing time is performed, and the standard deviations were found to be less than 15%. It was observed in the experiments that the transport paths of tracers in the ladle can be classified into two trends. A common trend is that the injected salt solution tracer is asymmetrically transported towards the left sidewall of the ladle by the main circulation. In another trend, the injected salt solution tracer is transported both by the main circulation to the left side wall and by downward flow towards the gas column. The downward flow may be accelerated and become a major flow pattern when the tracer volume increases. For the dimensionless concentration curve, the sinusoidal type, which represents a rapid mixing, is observed at the top surface monitoring points, while the parabolic type is observed at the bottom monitoring points. An exception is the monitoring point at the right-side bottom (close to the asymmetric gas nozzle area), where both sinusoidal-type and parabolic-type curves are observed. Regarding the effect of tracer volume on the curve and mixing time, the curves at the top surface monitoring points are less influenced but curves at the bottom monitoring points are noticeably influenced by the tracer volume. A trend of decreasing and then increasing as the tracer volume increases was found at the top surface monitoring points, while the mixing times at the bottom monitoring points decrease with the increase in the tracer volume.

Forecasting technique of transport need for population of cities with high tourist potential during peak seasons

Introduction. One of the key problems in ensuring the quality of recreation for the population is the provision of transport services that meet the transport needs of vacationers. The study of the transport needs of the population of resort cities during the holiday season is caused by the need to assess changing passenger flows as a result of a multiple increase due to vacationers in accordance with their place of attraction and possible adjustments to the routes of regular passenger transportation by road. This determines the relevance of the topic of this article. The purpose of the article is to develop a methodology for determining the needs for transport services for the population and vacationers in cities with high resort potential during the busiest periods, which makes it possible to design transportation processes along regular routes.Materials and methods. General scientific methods of analysis and synthesis, the provisions of probability theory and mathematical statistics, mathematical modeling, as well as the provisions of the technology of transport processes were used as the main research methods. The work carried out the zoning of the city into transport areas with a center of gravity at stopping points of urban passenger transport. Calculations of potential transport needs were carried out on the basis of a survey of vacationers and field observations, which were processed using standard Microsoft Excel and Statistika software.Results. The main result of the work is a methodology for determining the potential transport needs of the population and vacationers in cities with high tourism potential for the development and adjustment of routes for regular passenger transportation by road during the holiday season, which represents the scientific novelty of the research. The technique contains a mathematical model and algorithm.Discussion and conclusion. The use of this methodology will enable the organizer of transportation in resort cities to optimize the organization of regular passenger transportation by road during peak seasons.

Research on Lightweight Method of Segment Beam Point Cloud Based on Edge Detection Optimization

In order to reduce the loss of laser point cloud appearance contours by point cloud lightweighting, this paper takes the laser point cloud data of the segment beam of the expressway viaduct as a sample. After comparing the downsampling algorithm from many aspects and angles, the voxel grid method is selected as the basic theory of the research. By combining the characteristics of the normal vector data of the laser point cloud, the top surface point cloud edge data are extracted and the voxel grid method is fused to establish an optimized point cloud lightweighting algorithm. The research in this paper shows that the voxel grid method performs better than the furthest point sampling method and the curvature downsampling method in retaining the top surface data, reducing the calculation time and optimizing the edge contour. Moreover, the average offset of the geometric contour is reduced from 2.235 mm to 0.664 mm by the edge-optimized voxel grid method, which has a higher retention. In summary, the edge-optimized voxel grid method has a better effect than the existing methods in point cloud lightweighting.

Analysis of the operation of the microprocessor control system of a bridge crane using optimum control laws

This work presents the results of studies on the influence of the error of the main parameters of the bridge crane on the quality of optimal control. The quality of control refers to the exact positioning of the load at the stopping point and the magnitude of the final fluctuations of the load after the crane stops. The concept of optimal control is based on L.S. Pontryagin's maximum principle, which is when the goal is achieved by switching the acceleration-braking control of the load suspension point according to a specific algorithm. To achieve the maximum speed of operation of the crane, certain restrictions and conditions have been removed, namely, the refusal to eliminate load fluctuations during crane acceleration, which simplifies the subsequent elimination of load fluctuations during crane braking. However, this is an unnecessary waste of time, and therefore, acceleration is carried out at the maximum possible acceleration without eliminating load fluctuations. Of course, at the same time, significant fluctuations in the cargo occur, and they continue throughout the entire time the crane is moving. Moreover, the final goal is achieved only at the end of the cycle by switching the acceleration-deceleration modes - the cargo is delivered precisely to the specified point without fluctuations after the crane stops. A PC program that generates optimal control laws for a specific crane has been developed. This program can be used for any lifting machine where the suspension point moves in a straight line, and flexible load suspension is used, such as overhead or gantry cranes, hoists, etc. The results of the research were tested on several objects: a 0.5t crane, a 5t bridge grab crane, and models of bridge cranes. In each case, a good coincidence of theoretical and experimental results was observed, resulting in effective management of the object. The original microprocessor system implemented the optimal control laws, built first based on the MKP-1 microcontroller and then based on Arduino. However, a good result is guaranteed only if the fundamental parameters of the crane coincide with the theoretical ones. This is not easy to achieve during the actual operation of the crane. They vary within a specific range. The article examines how the error in each of the main parameters of the crane affects the result and how the control system can be improved to reduce the negative impact to a minimum. Keywords: optimal control, elimination of load fluctuations, accurate positioning, crane, microprocessor, reloading cycle

Study of Bird Diversity From Shukryacharya Hills and Its Surrounding Areas (Dist.- Sangli MS)

The survey of Bird diversity was carried out from the Shukryacharya hills is one of the pilgrim localities in Sangli district of Maharashtra located on the boundaries of Khanapur-Atpadi Tahsil. This locality has also been recognized as a sacred grove. The area has two valleys with top hill point of Bhavani Mandir. Shukryacharya is the highest peak of Sangli district. This area is of low rainfall with hills and slopes with some bushy plants, grass and trees. The study was carried out form years September 2019 to August 2023. The nearby areas were largely agricultural. The principal crops taken being jawar, groundnut, sugarcane and grapes. On a smaller scale bananas are also grown. Birds play important role in biodiversity by keeping insect pest under control. The irrigation land which play very important role to maintain the bird diversity. This region shows good number of bird diversity during the month of September to December. This is because of availability of food and breeding ground.

A framework for the evaluation and reporting of incidental findings in clinical genomic testing.

Currently, there are no widely accepted recommendations in the genomics field guiding the return of incidental findings (IFs), defined here as unexpected results that are unrelated to the indication for testing. Consequently, reporting policies for IFs among laboratories offering genomic testing are variable and may lack transparency. Herein we describea framework developed to guide the evaluation and return of IFs encountered in probands undergoing clinical genome sequencing (cGS). The framework prioritizes clinical significance and actionability of IFs and follows a stepwise approach with stopping points at which IFs may be recommended for return or not. Over 18 months, implementation of the framework in a clinical laboratory facilitated the return of actionable IFs in 37 of 720 (5.1%) individuals referred for cGS, which is reduced to 3.1% if glucose-6-phosphate dehydrogenase (G6PD) deficiency is excluded. This framework can serve as a model to standardize reporting of IFs identified during genomic testing.

REDUCING THE CONGESTION AT A BUS STOP BY FORMING GROUPS OF BUSES IN CHELYABINSK CITY

The one of the main problems of congestion processes at bus stopping points (SP) is that an increase in the number of buses and routes leads to a disruption in the organization of their passage through the SP. The poor organization of bus passage through the SP can lead to the fact that during peak hours, the buses queue can stretch for hundreds of meters. The forming buses into a group can reduce the congestions at the SP and increase their throughput, as a result of the simultaneous arrival and departure of buses from the SPs. In order to check the stated hypothesis, experimental and theoretical studies were carried out on the process of passing buses through the SP “Revolution Sq." on Lenin Ave., Chelyabinsk city, Russia. In this article was found that, when using three buses in one group, the passenger service time at the SP will be reduced in the range of (52-56) %. This result can lead to assert that the buses movement in a group through the SP will increase its capacity by approximately 50% and reducing the possibility of congestion at bus stopping points. Purpose. Reducing the congestion at the bus stopping points by forming groups of buses. Methodology. In the article the observation and comparison methods are used as the analysis methods. Results. The most informative parameters showing some aspects of carrying out the analysis of export operations are received. Practical implications. The diagrams of the main data of experimental studies and theoretical dependences of the dwell time that spent by three buses in one group and three buses arriving one by one at SP “Revolution Sq." are got from the route numbers in the morning and evening.