Similar Objects Research Articles

Citizen Science Discovery of a Recurrently Active Jupiter-Family Comet: (551023) 2012 UQ192

We have discovered evidence of cometary activity originating from (551023) 2012 UQ192 (alternately designated 2019 SN40), which we dynamically classify as a Jupiter Family Comet (JFC). JFCs have eccentric Jupiter-crossing orbits and originate in the Kuiper Belt. Analysis of these objects can provide vital information about minor planets in the outer solar system, such as the distribution of volatiles within the solar system. Activity on 2012 UQ192 was first recognized by volunteers on our NASA Partner Citizen Science project Active Asteroids. Through our own examination of archival image data, we found a total of ∼30 images presenting strong evidence of activity near perihelion during two separate orbits. 2012 UQ192 is notable as we found it to be recurrently active. When 2012 UQ192 approaches its perihelion passage in 2027 September, we predict it will reactivate and will be a prime subject for follow-up observations.

Three-way clustering: Foundations, survey and challenges

Clustering, as an unsupervised data mining technique, allows us to classify similar objects into the same cluster according to certain criteria. It helps us identify patterns between objects, reveal the associations between objects, and discover hidden structures. Traditional two-way clustering (2W clustering) algorithms represent one cluster by one set and only two types of relationships are considered between a sample and a cluster, namely, belonging to and not belonging to. Two-way decision is not always feasible especially in situations that are characterized by uncertainty and lack of information. Guided by the principle of three-way decision (3WD) as thinking in threes, three-way clustering (3W clustering) addresses the information uncertainty problem using core and the fringe regions to character a cluster. The universe is split into three sections by these two sets, which capture three kinds of relationships between objects and a cluster, namely, belonging to, partially belonging to, and not belonging-to. Compared with 2W clustering methods, 3W clustering incorporates the fringe region to describe the uncertain relationship between objects and clusters, which provides more information about the clustering structure. This survey points out the historical developments of three-way clustering and makes an overview of the achievements in the field of three-way clustering. In addition, to reap a clearer grasp of the development and research significance of three-way clustering, we divide the existing three-way clustering approaches into two categories and present the bibliometric analysis of related approaches. Finally, we point out some challenges and future research topics in three-way clustering. It is hoped that this review can serve as a reference and provide convenience for scholars and practitioners in the field of three-way clustering.

Rotational Phase Dependent J − H Colour of the Dwarf Planet Eris* *Visiting Astronomer at the Infrared Telescope Facility, which is operated by the University of Hawaii under contract 80HQTR19D0030 with the National Aeronautics and Space Administration.

The largest bodies—or dwarf planets—constitute a different class among Kuiper Belt objects and are characterized by bright surfaces and volatile compositions remarkably different from that of smaller trans-Neptunian objects. These compositional differences are also reflected in the visible and near-infrared colors, and variegations across the surface can cause broadband colors to vary with rotational phase. Here we present near-infrared J and H-band observations of the dwarf planet (136199) Eris obtained with the GuideDog camera of the Infrared Telescope Facility. These measurements show that—as suspected from previous J − H measurements—the J − H color of Eris indeed varies with rotational phase. This suggests notable surface heterogenity in chemical composition and/or other material properties despite the otherwise quite homogeneous, high albedo surface, characterized by a very low amplitude visible range light curve. While variations in the grain size of the dominant CH4 may in general be responsible for notable changes in the J − H color, in the current observing geometry of the system it can only partially explain the observed J − H variation.

The Impact of Serpentinization on the Initial Conditions of Satellite Forming Collisions of Large Kuiper Belt Objects

Kuiper Belt objects are thought to be formed at least a few million years after the formation of calcium–aluminum-rich inclusions (CAIs), at a time when the 26Al isotope—the major source of radiogenic heat in the early solar system—had significantly depleted. The internal structure of these objects is highly dependent on any additional source that can produce extra heat in addition to that produced by the remaining, long-lasting radioactive isotopes. In this paper, we explore how serpentinization, the hydration of silicate minerals, can contribute to the heat budget and to what extent it can modify the internal structure of large Kuiper Belt objects. We find that the extent of restructuring depends very strongly on the start time of the formation process, the size of the object, and the starting ice-to-rock ratio. Serpentinization is able to restructure most of the interior of all objects in the whole size range (400–1200 km) and ice-to-rock ratio range investigated if the process starts early, ∼3 Myr after CAI formation, potentially leading to a predominantly serpentine core much earlier than previously thought (≤5 Myr versus several tens of million years). While the ratio of serpentinized material gradually decreases with the increasing formation time, the increasing ice-to-rock ratio, and the increasing start time of planetesimal formation in the outer solar system, in the case of the largest objects a significant part of the interior will be serpentinized even if the formation starts relatively late, ∼5 Myr after CAI formation. Therefore it is feasible that the interior of planetesimals may have contained a significant amount of serpentine, and in some cases, it could have been a dominant constituent, at the time of satellite-forming impacts.

Are There Terrestrial Planets Lurking in the Outer Solar System?

Motivated by recent measurements of the free-floating-planet mass function at terrestrial masses, we consider the possibility that the solar system may have captured a terrestrial planet early in its history. We show that ∼1.2 captured free-floating planets with mass strictly greater than that of Mars may exist in the outer solar system, with a median predicted distance of ∼1400 au. If we consider a logarithmic bin centered on the mass of Mars, rather than a cutoff, we find that ∼2.7 captured free-floating planets with mass comparable to Mars may exist in the outer solar system. We derive an expectation value of ∼0.9 for the number of captured free-floating planets with mass comparable to that of Mars (∼1.4 for mass comparable to that of Mercury) that are currently brighter than the 10 yr coadded point-source detection limits of the Vera C. Rubin Observatory's Legacy Survey of Space and Time. Blind shift-and-stack searches could potentially enable the detection of such a planet if it is currently in the Southern sky. The theoretical argument presented here does not rely on the existence of posited patterns in the orbital elements of small bodies in and beyond the Kuiper Belt, in contrast with other hypothetical outer-solar-system planets motivated in recent years.

Automated Object Counting System in Digital Images

In inventories, the context of object counting and speed of response becomes essential. The process is more straightforward when there are only a few items, but its complexity lies when there are many close or overlapping items. In addition, the pressure to meet tight inventory deadlines adds another challenge. This work aimed to develop a program that automates the accurate counting of similar objects in digital images, regardless of their quantity or arrangement. For this purpose, an algorithm has been implemented in Python. The main results show efficiency in analyzing images with similar objects, a significant step towards separating and accurately counting adjacent objects in various scientific fields. This solution promises to simplify and speed up the counting process in digital images, with potential beneficial applications in multiple scientific disciplines.

Evaluation of the instrument protocol to verify the effects of the iSupport‐Brasil program for caregivers of people living with dementia

AbstractBackgroundThe World Health Organization (WHO) developed iSupport, an online, psychoeducational program for informal caregivers who assist someone who lives with dementia. The iSupport program is being adapted for use in many countries, and in Brazil, we now need to evaluate the effects of this program. However, there are no Brazilian versions of instruments needed to evaluate some of the expected outcomes (self‐efficacy, mastery, and positive aspects of caregiving) and there are no online versions of the instruments. The objective of this study was to evaluate an online protocol to evaluate the effects of the iSupport program, in Brazil.MethodAn online data‐collection form was developed for use in Brazil, based on the protocol suggested by the WHO and considering protocols being used in other countries. Caregivers who were eligible for using the program were accompanied while completing this protocol, to identify their doubts and difficulties. There were seven participants, in two subgroups, so issues identified by one group could be resolved before testing the protocol with the next. Problems were discussed in research team meetings, and solutions were developed.ResultCaregivers indicated problems that resulted in the exclusion of instruments that had similar objectives, the modification of response alternatives to better reflect the diversity of people who are informal caregivers, and wording changes to improve the clarity of instructions or items.ConclusionThis study was important for maximizing the acceptability of the protocol and the usability of the response form we developed for evaluating the Brazilian version of the iSupport program. Thus, community participation in the development of research protocols should help maximize participation rates and the validity of the information gathered, which, in this case, involves the mental health and wellbeing of informal caregivers who assist people living with dementia. Furthermore, this process enabled us to work on cultural and format adaptations of the instruments needed for evaluating the effects of the iSupport‐Brasil program, so that our protocol will be aligned with those being used in other countries to evaluate the effects of the iSupport program.

CURRENT TRENDS OF OPERATIONAL QUALITY IN INDUSTRIAL CONSTRUCTION

Purpose. Continuation of the life cycle of construction products is achieved through the use of the latest technologies of a complex technical approach, which includes the creation and use of equipment and materials that compensate for the functional costs of the building at the stage of operation. This substantiates the search for modern approaches to modeling, effective adjustment and development of optimization technologies in the formation of operational quality for the effective implementation of investment and construction projects. Methodology. The study of indicators of operational quality and characteristics of production operations in construction is described by dependencies and algorithms of resource conservation and building safety technologies. The issue of identifying the causes of the loss of reliability of objects and control of resource use requires accounting for changes in the conditions of the external and internal environment, diagnosed in the previous design cycles of this object (prototype) or similar objects (analog), allows to identify them in the form of investment and construction project norms, justify and develop technologies for the formation of its operational quality. Findings. The search for modern approaches to modeling, effective adjustment and development of optimization technologies in the formation of operational quality for the effective implementation of investment-construction projects is substantiated. Originality. The technological complex of system-forming regulators of operational quality in construction, as levers for the implementation of construction projects and applied tools for evaluation and forecasting of parameters of the operational quality of construction products, which allows timely response to the requirements of the customer of the construction project and making the necessary corrections during the implementation of construction processes, in order to comply with the planned operational quality standards. Practical value. Carrying out theoretical and practical justifications and scientific and practical research on the development of technologies for the formation of operational quality in construction. The existing principles of management activities for the assessment and improvement of operational quality at all stages of the life cycle of the construction object and in production processes are substantiated, taking into account the modern conditions of the world market, which imposes strict requirements on construction products at all stages of their creation. Approaches to the implementation of the technology for improving the operational quality of industrial buildings have been developed, which contributed to increasing the level of object reliability and the optimal level of production resource saving. Proposed concepts of the continuation of the life cycle of construction products due to the use of the latest technologies of a complex technical approach in the process of creating and using equipment and materials that compensate for the functional costs of the building at the stage of operation. The latest approaches to modeling, effective adjustment and development of optimization technologies are applied in the formation of operational quality for the effective implementation of investment and construction projects.

Evolutionary Algorithm-Based Energy-Aware Path Planning with a Quadrotor for Warehouse Inventory Management

Quadrotors have been vital for automating warehouse processes. However, a significant gap in recent studies is that they use a single quadrotor with limited battery life, considering that their objective involves navigation in a large-scale environment such as a warehouse. Using an energy consumption model to enable more efficient navigation can be explored. Conventional data-driven energy models and path planning algorithms are insufficient for describing the various motions that a quadrotor can perform in warehouse operations, such as changes in yaw. This study aims to design a novel exhaustive data-driven energy consumption model and evolutionary algorithm-based path planning algorithm to consider various quadrotor movements involved in warehouse operations. The quadrotor is tasked with performing a set of movements to each be represented as a power equation in terms of their velocity. The obtained equations were subsequently used as the primary optimization objective for the path planning algorithm, which included yaw angle objectives and constraints. A set of experiments was performed with Crazyflie quadrotors to verify the model and the algorithm. The results showcased the accuracy of the energy consumption model, which was kept at a maximum difference of 0.6%. The designed path planning algorithm obtained greater energy efficiency in the generated paths compared to other state-of-the-art evolutionary algorithms with similar objectives and constraints. Doi: 10.28991/HIJ-2023-04-04-012 Full Text: PDF

Surface Volatile Composition as Evidence for Hydrothermal Processes Lasting Longer in Triton’s Interior than Pluto’s

Ocean worlds, or icy bodies in the outer solar system that have or once had subsurface liquid water oceans, are among the most compelling topics of astrobiology. Typically, confirming the existence of a subsurface ocean requires close spacecraft observations. However, combining our understanding of the chemistry that takes place in a subsurface ocean with our knowledge of the building blocks that formed potential ocean worlds provides an opportunity to identify tracers of endogenic activity in the surface volatiles of Pluto and Triton. We show here that the current composition of the volatiles on the surfaces and in the atmospheres of Pluto and Triton are deficient in carbon, which can only be explained by the loss of CH4 through a combination of aqueous chemistry and atmospheric processes. Furthermore, we find that the relative nitrogen and water abundances are within the range observed in building block analogs, comets, and chondrites. A lower limit for N/Ar in Pluto’s atmosphere also suggests source building blocks that have a cometary or chondritic composition, all pointing to an origin for their nitrogen as NH3 or organics. Triton’s lower abundance of CH4 compared to Pluto, and the detection of CO2 at Triton but not at Pluto points to aqueous chemistry in a subsurface ocean that was more efficient at Triton than Pluto. These results have applications to other large Kuiper Belt objects as well as the assessment of formation locations and times for the four giant planets given future probe measurements of noble gas abundances and isotope ratios.

Close-to-fission dumbbell Jupiter-Trojan (17365) Thymbraeus

Context. Every population of small bodies in the Solar System contains a sizable fraction of multiple systems. Of these, the Jupiter Trojans have the lowest number of known binary systems and they are the least well characterized. Aims. We aim to characterize the reported binary system (17365) Thymbraeus, one of only seven multiple systems of Jupiter Trojans known. Methods. We conducted light curve observing campaigns in 2013, 2015, and 2021 with ground-based telescopes. We modeled these light curves using dumbbell figures of equilibrium. Results. We show that Thymbraeus is unlikely a binary system. Its light curves are fully consistent with a bilobated shape: a dumbbell equilibrium figure. We determine a low density of 830 ± 50 kg m−3, consistent with the reported density of other Jupiter-Trojan asteroids and small Kuiper belt objects. The angular velocity of Thymbraeus is close to fission. If separated, its components would become a similarly sized double asteroid, like the Jupiter-Trojan (617) Patroclus.

Impact Crater Databases for Pluto and Charon, Version 2

Pluto and Charon are the farthest bodies from the Sun that have been visited by spacecraft where more than several dozen impact craters can be accurately identified and measured. These craters form a critical record of outer solar system impactors in the trans-Neptunian environment, so an accurate census of them is important for numerous dynamical applications seeking to understand the Kuiper Belt and its evolution. In 2017, a crater database was published based on several different researchers mapping on various image products from the New Horizons mission. To date, that remains the only work that has tried to provide a complete census of the craters on Pluto and Charon. Meanwhile, Singer et al. mapped on different, more final image products, while Robbins & Singer worked to reconcile their crater populations, demonstrate general agreement, and lay out issues with the previous work from 2017. However, neither attempted to make complete databases of Pluto's or Charon's craters. To come full circle, we present a short report on a revised crater database for both Pluto and Charon that incorporates revised interpretations of geologic features on both bodies; this work supersedes our other Pluto and Charon crater database work.

Domain Adaptive Sampling for Cross-Domain Point Cloud Recognition

Point cloud recognition has recently gained increasing research interest due to the huge potential in real-world applications such as autonomous driving, robotics, etc. However, the point clouds of similar objects often exhibit notable geometric variations due to the difference in capturing devices or environmental changes. This leads to significant performance degradation when the learned point cloud recognition model is applied to a new scenario, which is also known as the domain adaptation issue. In this work, we propose a new unsupervised domain adaptation approach for point cloud recognition via domain adaptive sampling (DAS). In particular, we propose a two-level sampling strategy of point level and instance level to improve the cross-domain recognition ability of the model. First, we propose a domain adaptive point sampling (DAPS) strategy to enhance the domain-invariant representation of point clouds by progressively focusing on representative points in each point cloud based on geometric consistency. Then, we further propose an instance-level domain adaptive cloud sampling (DACS) strategy to learn target-specific information based on a self-paced learning paradigm, where we select a set of pseudo-labeled target point clouds to train our designed light-weighted adapters without modifying the learned domain-invariant representation. We validate our domain adaptive sampling approach on the benchmark datasets PointDA-10 and GraspNetPC-10, where our method achieves new state-of-the-art performance.

Possibilities for the construction of a parallel route of the European transport corridor No 9 through Romania, Bulgaria, and Greece

The Bulgarian state is significantly behind in the development of its strategic road infrastructure. This circumstance is complemented by the deteriorated state of the already-built infrastructure in the Bulgarian state. There is a need to change the policy philosophy for managing and maintaining the strategic infrastructure in Bulgaria. It is necessary to strongly link this policy with the regional development policy, due to the similar objectives they must achieve. They are aimed at bringing Bulgarian regions closer together, and their economic and regional development based on improved connectivity between them. Achieving all this, however, is hampered by a significant deficit in the system. There is a lack of connectivity and development of the transport axes in the North-South direction. In this regard, the authors set as their main objective to analyze and assess the possibilities for the construction of a parallel route of the European transport corridor No. 9 through Romania, Bulgaria, and Greece, which includes the construction of a tunnel between the town of Troyan and the village of Karnare in the central part of the Balkan Mountains. The implementation of this project will bring economic, social, transport, and financial benefits to the Bulgarian state. The construction of the project ensures connectivity between the Balkan countries, the formation of a single European market, stimulating the development of Northern Bulgaria, and a targeted impact on the North and South-Central planning regions.

Effect of Small Concaves Surface on the Acoustical Characteristics of Chicken Feather Panel

This study aims to determine the impact of small concave surfaces on the acoustic characteristics of chicken feather panels. Based on the feather-glue ratio reference, the researchers applied a mixture of 70% feather and 30% PVAc for the production of the specimens. In the first stage, the absorption coefficient of the specimen on a small concave surface (CS) was measured using an impedance tube type B&K 4602 with two microphones and a set of computer FFT analyzers. The measurement results were then compared with the absorption coefficient of similar test objects with flat surfaces (FS). The acoustic characteristics of the two types of surfaces (FS and CS) in the specimen panel showed the maximum absorption coefficient (α) value of 0.52 and 0.63 for FS and CS, respectively. These results indicate that specimens with a small concave surface (CS) have a relatively higher absorption coefficient than those with a flat surface (FS). However, further studies are needed to identify other characteristics of these acoustic panels, including their resistance to environmental influences.

An Intelligent Video Surveillance System for Detecting the Vehicles on Road Using Refined YOLOV4

In this fast world, the researchers are trying to develop strong artificial intelligence (AI) applications such as autonomous vehicles, self-driving cars, improved closed circuit television (CCTV) systems, etc. in the transportation field to ensure safety and a sophisticated life. In this scenario, the object detection is performed by the You Look Only Once (YOLO) Version 2 (Yolov2) and YOLO Version 3 (Yolov3) algorithms for detecting the objects. However, no method is available to fulfil the current requirements in terms of efficiency and effectiveness. To overcome these issues, this paper proposes an improved YOLO Version 4 (Yolov4) algorithm to improve the accuracy and detection speed of vehicles. Moreover, a new Mosiac data augmentation technique that incorporates a Bidirectional Feature Pyramid Network (BiFPN) is implemented in the existing Yolov4 algorithm for identifying the faster vehicles, and it is also used to reduce the false detection rate with rapid detection speed. In addition, a refined DeepSort technique for multi-object tracking (MOT) is also used to avoid common errors like occlusion, similar objects, etc. in this work. The proposed system was evaluated by using live videos and images and obtained 88.75% accuracy, 87.37% precision, and 89.21% recall that are superior to other systems.

Traceability ensuring by organizing the Metrological Measurements Network

A new scheme for the traceability ensuring, called the Metrological Measurements Network, was proposed. It is not an alternative to the existing scheme but is only another form of implementation of the traceability scheme. It is about the main principle of construction of the Metrological Measurements Network and its advantages over the existing scheme. The main reason is that each laboratory calibrates its own object for measurement using its measurement standard and sends it for calibration to a laboratory-participant and, almost simultaneously, receives a similar object from another laboratory-participant that calibrated it. If each participant, at the same time as the others, makes at least four such calibrations and transfers between laboratories-participants, it will form a common and very precise Metrological Measurement Network in a very short time. It can cover hundreds and even thousands of laboratories in a short period of time. The joint processing of a large number of such measurements will help to define the additive and/or multiplicative biases of each measurement standards. Moreover, the reference conditions are imposed that the sum of additive and, separately, the sum of multiplicative biases for all measurement standards is equal to zero regardless of the number of network participants.

A pilot study of multi-antigen stimulated cell therapy-I plus camrelizumab and apatinib in patients with advanced bone and soft-tissue sarcomas

BackgroundCell-based immunotherapy shows the therapeutic potential in sarcomas, in addition to angiogenesis-targeted tyrosine kinase inhibitor (TKI) and immune checkpoint inhibitor (ICI). Multi-antigen stimulated cell therapy-I (MASCT-I) technology is a sequential immune cell therapy for cancer, which composes of multiple antigen-loaded dendritic cell (DC) vaccines followed by the adoptive transfer of anti-tumor effector T-cells.MethodsIn this phase 1 study, we assessed MASCT-I plus camrelizumab (an ICI against PD-1) and apatinib (a highly selective TKI targeting VEGFR2) in patients with unresectable recurrent or metastatic bone and soft-tissue sarcoma after at least one line of prior systemic therapy. One MASCT-I course consisted of 3 DC subcutaneous injections, followed by 3 active T cell infusions administered 18–27 days after each DC injection. In schedule-I group, 3 DC injections were administered with a 28-day interval in all courses; in schedule-II group, 3 DC injections were administered with a 7-day interval in the first course and with a 28-day interval thereafter. All patients received intravenous camrelizumab 200 mg every 3 weeks and oral apatinib 250 mg daily.ResultsFrom October 30, 2019, to August 12, 2021, 19 patients were enrolled and randomly assigned to schedule-I group (n = 9) and schedule-II group (n = 10). Of the 19 patients, 11 (57.9%) experienced grade 3 or 4 treatment-related adverse events. No treatment-related deaths occurred. Patients in schedule-II group showed similar objective response rate (ORR) with those in schedule-I group (30.0% versus 33.3%) but had higher disease control rate (DCR; 90.0% versus 44.4%) and longer median progression-free survival (PFS; 7.7 versus 4.0 months). For the 13 patients with soft-tissue sarcomas, the ORR was 30.8%, DCR was 76.9%, and median PFS was 12.9 months; for the 6 patients with osteosarcomas, the ORR was 33.3%, the DCR was 50.0%, and median PFS was 5.7 months.ConclusionsOverall, MASCT-I plus camrelizumab and apatinib was safe and showed encouraging efficacy in advanced bone and soft-tissue sarcoma, and schedule-II administration method was recommended.Trial registrationClinicalTrials.gov, NCT04074564.

Creating a contact binary via spacecraft impact to near-Earth binary asteroid (350751) 2002 AW

Contact binary asteroids are ubiquitous in the solar system: the Kuiper belt, main belt, and near-Earth populations all house these complex aggregates. Although contact binaries account for up to 30% of small bodies in the solar system, the formation of one has yet to be observed. We present a preliminary mission design to create a contact binary asteroid and observe its formation using a binary NEO system, a kinetic impactor, and an observer spacecraft. Not only does this mission address an important gap in planetary science, it also serves the planetary defense community: it will further demonstrate planetary defense technology to provide unique observation opportunities. A binary system offers a convenient natural laboratory for this mission, as the ability to form a contact binary using a kinetic impactor depends greatly on the size of the target and the proximity to its parent body. From among all known binary near-Earth objects, binary asteroid system (350751) 2002 AW was chosen for this case study. A spacecraft can achieve rendezvous with this system from low-Earth orbit with a cheap total ΔV ≈ 4.3 km/s. A pair of spacecraft launch on the same launch vehicle and separate before asteroid impact. The two spacecraft are (1) an impactor that has been adapted from the DART spacecraft and (2) an observer spacecraft that will rendezvous with the binary system and observe the creation of the contact binary. The spacecraft impact must be designed such that it redirects the secondary into a collision course with the primary while not catastrophically disrupting the target asteroid. Impact parameters such as angle of impact, catastrophic disruption limit, and the β factor have been considered. Among other design decisions, we present our target-selection methodology, launch-vehicle considerations, and launch opportunities.

A-MKMC: An effective adaptive-based multilevel K-means clustering with optimal centroid selection using hybrid heuristic approach for handling the incomplete data

In general, clustering is defined as partitioning similar and dissimilar objects into several groups. It has been widely used in applications like pattern recognition, image processing, and data analysis. When the dataset contains some missing data or value, it is termed incomplete data. In such implications, the incomplete dataset issue is untreatable while validating the data. Due to these flaws, the quality or standard level of the data gets an impact. Hence, the handling of missing values is done by influencing the clustering mechanisms for sorting out the missing data. Yet, the traditional clustering algorithms fail to combat the issues as it is not supposed to maintain large dimensional data. It is also caused by errors of human intervention or inaccurate outcomes. To alleviate the challenging issue of incomplete data, a novel clustering algorithm is proposed. Initially, incomplete or mixed data is garnered from the five different standard data sources. Once the data is to be collected, it is undergone the pre-processing phase, which is accomplished using data normalization. Subsequently, the final step is processed by the new clustering algorithm that is termed Adaptive centroid based Multilevel K-Means Clustering (A-MKMC), in which the cluster centroid is optimized by integrating the two conventional algorithms such as Border Collie Optimization (BCO) and Whale Optimization Algorithm (WOA) named as Hybrid Border Collie Whale Optimization (HBCWO). Therefore, the validation of the novel clustering model is estimated using various measures and compared against traditional mechanisms. From the overall result analysis, the accuracy and precision of the designed HBCWO-A-MKMC method attain 93 % and 95 %. Hence, the adaptive clustering process exploits the higher performance that aids in sorting out the missing data issuecompared to the other conventional methods.