bluuebunny/crossref_metadata_2025_split huggingface dataset:
Video Shot Boundary Detection Method Using Modified Artificial Bee Colony and Fast Accelerated Segment Test Algorithm
Authors: Hadi Isra'a , Z. Neima Hikmat , . . 
Published: July 2024

Over recent years, video has become one of the most important means of communication. This is due to the rapid growth in network bandwidth and device storage capacity. The management of video databases therefore requires efficient video analysis methods. Video shot boundary detection (SBD) is considered an essential step in a wide range of video analysis processes such as video browsing, indexing, retrieval and summarization. Many SBD methods have been proposed; however, accuracy in the detection of shot boundaries is still unsatisfactory. In this paper, an efficient SBD method is proposed. The proposed method consists of two stages: identification and verification. In the identification stage, candidate shot boundaries are identified based on a modified Artificial Bee Colony (ABC) algorithm. In the verification stage, the global and local features of frames are extracted to verify the shot boundaries. Fuzzy histograms are utilized as a global feature while features from Fast Accelerated Segment Test (FAST) corner detection is implemented to extract interest points as a local feature. The proposed method has shown highly accurate results.Â Â
The Role of Information Technology in Administrative Control: Analytical Study of the Babylon University's Community Views
Authors: JassimAbd AL-Razaq Fryal , Saad A. AL-Murieb Safa 
Published: July 2024

Due to the main role of information technology in many fields of life such as in administrative controlÂ and the increasing occurred, the interest with this subject increased, this is occurred because a lot of processes are running by the organizations via the usage of information technology. So the problem of current research is (Is there a use of information technology in administrativeÂ control, is there a role for IT in administrative control of the unit under study, and what is the most frequently used information technology field in the administrativeÂ control) and adopted Find on two assumptions are the link to the role of the hypothesis of IT in administrativeÂ control of the unit surveyed, The premise of the effect, and the goal of research is to identify the role of information technology in administrativeÂ control, and identify the concepts of the role of information technology and administrativeÂ control of the unit under study, has identified conduct research and Babylon university, as the total members of the research community 87 individuals were, in order ,the researchers use, analytical study, a meta search in the collection of information using the questionnaire methods, and use statistical means the arithmetic mean, standard deviation, and correlation coefficient for the completion of the requirements of the search.The research found a set of conclusions was the most important, there is the role of IT in administrativeÂ control of the unit researched process, in terms of the use of information technology in administrativeÂ control, and that the most widely used field of information technology in administrativeÂ control is the financial and administrative field by virtue of the nature of their work.Â Â
Using Harris Corner Detection and Background Modeling for InPainting Occluded Objects in a Video
Authors: Hadi Ali Israa , Ehsan M Mustafa 
Published: July 2024

In this papera proposed ofan efficient method for video inpainting which can be used to remove a single unwanted object that obscured another wanted object in a period of time in a video scene that captured for two occluded objects only. The proposed system based on statistical modified background modeling and interest point detection for the wanted object. Occlusion is the most important challenge in video inpainting and the proposed method can handle this challenge with a good result and less computational cost.The system consists of the following main steps. Firstly, input the original video then estimate the background of the video. After that detect the foreground objects by subtraction the background. Then applying segment and labeling stage each foreground object. Followed by tracking the selected two objects. Thenanalysis the occluded frames with computing interest point for the wanted object in the non-occluded frames basing on Harris corner detector. The final stage filling the unwanted object pixels by two choices either background model pixels or wanted object pixels.The proposed system focus on interruption cases that may be happened by the unwanted object and blocking another wanted and important object. By applying this methodology, the process of inpainting the unwanted object with the keeping of consistency of video.Â Â
Camera Motion Estimation based on Phase Correlation
Authors: Abdulkareem Abdulkadhem Abdulkadhem , A. Al-Assadi Tawfiq 
Published: July 2024

In this paper, we introduce a new style for a relative localization estimation and trajectory determination of a camera sensor based on a vision in GPS-denied environments. The input to the system is video film taken from a camera placed on the vehicle as forward facing camera. The output of the system is a trajectory (path) of camera movement .The proposed framework consists of many main steps, the first one extracts the FFT of two consecutive frames of video. The next step is to find the entry-wise product of frequency domain of frames. The third step is extracting the FFT inverse of entry-wise product. Next, the system finds the location of a maximum peak that represents the translation motion between two frames of video. The proposed system is faster than traditional methods that depend on spatial features and system have done without any external information of camera calibration.Â Â
Design and Implementation a Typical University Business Intelligence System Using Data Warehouse Technique (UBIS)
Authors: Hameed Mousa Ayad , Talib Mohammed Nibras , Adnan Raheem Heba 
Published: July 2024

In organizations management, a Business Intelligence systems (BI) provides a flexible and computerized approach to help and support their top management (decision makers) to make better decisions. The education institutes tend to develop a Business Intelligence (BI) system to manage, integrate and control the academic information systems in terms of both data.However, until today, information does not integrate and presented in an appropriate manner for the university-decision-maker in helping them to make better decisions. The main issue is how to extract and process a massive amount of the information to speed up the intended data analysis and processing in supporting the university decision-making process. To manage and facilitate the data management process, in this paper, a university business intelligence system based on data warehouse model was designedand implemented into a case study from local education institute are carried out to explore the influences mentioned above. Finally, to find out the applicability of the proposed model the usability tested was conducted. The findings showed the applicability of the proposed system in practice.Â Â
Bi and Mono Static Radar Cross Section Computation for Various Target's Materials
Authors: Mohammed Ahmed Ahmed , H. Ali Israa , Raheem Hatem Haraa 
Published: July 2024

Radar cross section (RCS) is important parameter which gives an indication about the spatial waveform of the return signal from the target to the radar (Echo) which can be consider as a signature. RCS signature measurements for any physical objects like aircraft, tanks, and vessels is sophisticated processes and expensive, due to of using microwave instruments which should has the capability of illuminate the target with adequate energy, so that the radar can recognize the reflected signal from that object against the other objects in the floor which consider noise floor. In this paper, Computer Simulation Technology (CST) software is used to simulate the RCS for several targets material, and different angles. The target is modeled and simulated for different material and analysis of RCS is carried out with different angles using two systems. The first system is Monostatic and the second is bistatic with selected frequency for both is 9.4 GHz (X-band frequencies). The results of this work show that the target with steel material has a significant RCS for both bistatic and monostatic radar compared to the FR4 and wood materials; where FR4 is a composite material composed of woven fiberglass cloth with an epoxy resin binder that is flame resistant.Â Â Â
Feasibility of spectral analysis techniques for disruption analysis in Aditya tokamak
Authors: Thaj Mary Delsy T , M. Nandhitha N , Sheela Rani B 
Published: July 2024

Aditya Tokamak is a medium size fusion reactor that uses plasma for the generation of power. Magnetic fields are used to confine plasma inside the torus. Release of plasma from its confinement is called plasma disruption. Plasma disruption is a dangerous event, which damages the in â€“ vessel components of the Tokamak. So the early stage prediction of plasma disruption is quite important. Wavelet transform is a powerful tool for the analysis of the non - stationary signals. In this paper, analysis of plasma disruption signals using Biorthogonal wavelet transforms is perform to identify disruption. Plasma current, Vloop, Halpha, Hard X ray, Mirnov coil signal, Soft X-ray are diagnostic signals. Performance is measured in terms of sensitivity and specificity.Â Â
Duplicate detection and elimination in xml data for a data warehouse
Authors: O. Mahdi 1 Ghaith , M. Hamad Murtadha 
Published: July 2024

Due to the significant increase in the volume of data in recent decades, the problem of duplicate data has emerged because of the multiplicity of resources where the data is collected in different formats. The presence of duplicates comes as a result of the existence of different formulas of data. Thus, it is necessary to clean the duplicate data to access a pure data set. The main concern of this study is to clean data which Known by its complex hierarchal structure in data warehouse. This can be achieved by detecting duplicate in large data bases in order to increase the efficiency of data mining. In the current study the proposed system of duplicate elements passes through three-stages. The first stage (Pre-processing stage) includes two parts: the first part is the elimination of the exact match which, in turn, works to eliminate many of the identical elements completely. This procedure saves a lot of time and effort by preventing the entrance of many elements to the processing stage which are usually known by its complexity. In the second part blocking technique is used based on Levenshtein distance to minimize the number of comparisons and to maximize the accuracy of blocking elements than the traditional ones. These processes are performed to improve the dataset. The second stage (Processing stage) is taken to compute the similarity ratios between each pair of elements within each block by using smith waterman similarity algorithm. The third stage is the classification stage of the elements in which an element is identified whether it is duplicate or non-duplicate. The Artificial Neural Network technique (Back-Propagation) is used to meet this purpose. The threshold 0.65 has been determined which is relied on the results obtained. The Artificial Neural Network (Back-Propagation) is used to classify the elements in to duplicate and non-duplicate. The efficiency of the proposed system is represented by the accuracy obtained which is closer to 100% through reducing the number of "false negatives" and "false positive" relative to the "true positive".Â Â
An advanced approach for distortionless seamcarving in video analysis
Authors: Thirumalaiah G. , Immanuel Alex Pandian S. 
Published: July 2024

Video synopsis is a technique that creates summary of the video or it can converts the abstraction of selected frames. This innovative approach permits the organizations to review long videos in minutes. It is more convenient to superimpose objects on to the static background and parallel displaying events to generate video synopsis. In this, paper a propelled noiseless video synopsis technique, which utilizes object-extracting method for vital objects. Along this technique spatial and temporal coherence cost is used to maintain time and position of the important objects. The proposed method will generate video spots and seam craving method to reduce the input (original) video. Finally, experimental results gives that our proposed method can produce a large reducing ratio, while preserving all the important objects of choice. Therefore, this noiseless approach can facilitate users to watch the surveillance video with greater accuracy.Â Â
Volume change study due to moisture variation related to different sources
Authors: A. Khalil Amina 
Published: July 2024

Volume change in the soil mass due to variation in moisture change may cause several problems and severe damages, especially to the lightweight structures. In this study, numerically volume change caused by variation in moisture content (heave and settlement) around a selected building would be studied using Geo-Studio software. Different types of flowing water resources that cause volume changing to the soil were used. These types are a seasonal wetting-drying effect, surface rainfall, pipe leaking, and infiltrations from the septic tank. In addition four types of soils (having different clay content) which denoted as (S1, S2, S3, S4)* were used in this research work. For speci-fied water resource, the water variation for the selected sources was simulated using SEEP/W and then using SIGMA/W to compute the heave and settlement. Several laboratory tests were conducted to obtain the soil parameters that would be used in the numerical analysis. The laboratory tests include the index, compaction, permeability (saturated/unsaturated), compressibility and soil-water characteristic curve tests. Most of the obtained properties for the soils were used in the finite element simulations. Results showed that the wetting-drying due to sea-sonal rise and existence of septic tank give a significant effect on the soil heave and settlement when compared with other studied sources. For the infiltration case, the influence zone was in the first-meter depth of the soil mass. Thickness variation (DH) effect extends outside the edge of the building to about 11-15 m for wetting-drying cases, while its values extend about 12.5 m for other sources. During the initial period, the settlement rate was clearly higher in soil types S4, and S3 than S2, and S1 soils.* S1: CH soil, S4: SM Soil, S2: 80%CH & 20%SM, S3: 20%CH+80%SM.Â Â
Smart city and e- government components
Authors: Bani Younes Mohammad , Zeyad Aljunaedi Bajes 
Published: July 2024

This theoretical paper will discuss the strategies and application of these plans for making the cities glamorous. A customary of the mutual multifaceted components causing the smart city concept and the essential features for an effective smart city project is acknowledged by discovering current working explanation of trendy city and a variety of numerous theoretical links analogous to smart city.Motivation: There is a need for considering smart cities for discussing the revolution in city governments and for the self-motivated of various investors.Problem statement: need to explore the ways of changing smart technologies and how the human factors are influenced by the smart cities with the advanced technologies.Method: review the studies of smart city frameworks.Contribution: This paper proposed planned ideologies line up to three main scopes such as people, skills, and the institutions of these trendy cities. It will also specify to integrate the facilities related to technology and organizations, and social education for the enhancement of the structure of human, governance that will make improvements in the engagements of citizen.Conclusion of research: have discovered the large number of theoretical scopes of smart in this paper that will be helpful for future studies as conceptual framework.Â Â Â
Dynamic approach for spectrum sharing in cognitive radio
Authors: Shakor Mahmood Zuhair , Najdet Nasret Coran Ali , Esam Kamal Ayoub 
Published: July 2024

Due to fixed spectrum allocation phenomenon (FSA), spectrum agreement failed to satisfy the demanded of the evolving technolo-gies. However, cognitive radio has approached for utilizing the spectrum and substituting resources deficiency. The number of radio users is tragically increasing since human turns technologies in all sectors; even those users of licensed band are demanding larger radio spectrum. Users may get assigned into other bands to balance the radio spectrum congestion. In this paper, we proposed model to overcome radio deficiency. This paper is highlighting the spectrum sharing performance constrains. Time delay and throughput are studied under different spectrum sharing techniques.Â Â Â
Solution pattern for machine-to-cloud integration in medical robotics
Authors: Yee Jingye , Yee Low Cheng , Quan Chong Zhen , Shien Soh Wei , Bin Abd Rahman Ramhuzaini , Akhtar Hanapiah Fazah , Ayuni Che Zakaria Noor , Asmar Laban , Rabe Martin 
Published: July 2024

Industrial Revolution 4.0 is bringing a paradigm shift into the industrial world and also indirectly revolutionising the healthcare domain. The Internet of Things (IoT) brings a revolution in the healthcare industry and medical education. One of the vital developments involves integration of medical devices and robots with cloud through the internet. This paper thus describes a general solution guideline for developing the IoT compliant medical robots. For that, an upper limb part-task trainer for upper limb spasticity evaluation training for rehabilitation named BITA is used to demonstrate how cloud integration could be achieved at its system-level design.Â Â Â
Forecasting Model of the Electricity Consumption: Preliminary Study using Statistical Data Analysis and Artificial Neural Network (SDA-ANN) Framework
Authors: Asraf H. Muhammad , Dalila K.A. Nur , Kamariah Kasmin@Bajuri Nor , M.Y. Zakiah , Mariam Mohammad Ilyas Siti , M.T Nooritawati 
Published: July 2024

There is a growing trend in utilizing forecast model in predicting energy usage in order to pursue sustainable practice. Among the benefit of the prediction model includes energy efficient usage and basic reduction in operating cost. The objective of this paper to employ Artificial Neural Network (ANN) to be used as the preliminary forecast model for electricity consumption trend prediction. The proposed ANN model will also include on pre-processing of the input variable through Statistical Data Analysis method to improve on the model. The model is then subjected to case study of electricity consumption in Universiti Teknologi MARA Pasir Gudang (UiTMPG), where the environmental temperature, number of student and staff noted as attendance data is designated as the input variables. Actual monthly billing data and UiTM attendance data is used as the testing data for the ANN, and the forecast model successfully generates the prediction equation. Results from the forecast model show the recorded Mean Relative Error (MRE) is within the acceptable value of 3.0254%.Â Â
Energy Consumption and Low Carbon Initiatives in an Academic Building: A Case Study in Malaysia
Authors: Ilham NI , Hussain MZ , Abd Rahman NH , Mat Saat EH , Firdaus S , Amalina MN , Hasanuzzaman M 
Published: July 2024

Climate change due to the enormous energy consumption and emission of CO2 has become major issues in the aspect of political and scientific. In Malaysia, energy consumption in building sector contributes almost half of the electricity generated hence increasing the CO2 emission. Through the Energy Efficiency Projects on Energy Efficiency (EE) programmes (2016 â€“ 2020) initiated in RMK11, Â Â several buildings in Malaysia have started many ways to improve energy-efficiency and saving in building such as nearly Zero Energy Building (nZEB), apparatus standard, and labeling. Less attention and awareness to energy audits and in-depth monitoring in Malaysian public universities correspondingly leads to higher energy usage. By monitoring the energy consumption pattern, the conservation can be strategies and implemented. Through this study, a preliminary investigation on the energy consumption and Building Energy Use Index (BEI) in one of the selected academic buildings in Malaysian public universities has been carried out. From an initial data collection or walk-through audits, several energy-saving suggestions were made at identified areas that can be improved towards energy saving. Â Â Â Â Several works of literature have been reviewed to gathered additional information related to energy policies and regulations on Malaysiaâ€™s perspective.Â
Auto-Scaling Variable Step Size Incremental Conductance Maximum Power Tracking Control Algorithm for Photovoltaic System
Authors: Hasliza Abdul Rahman Noor , Iqtiyani Ilham Nur , Maliki Omar Ahmad , Hisham Mat Saat Ezril , Zhafran Hussin Mohamad , Mohd Hussain Mashitah , Othman Norhalida 
Published: July 2024

Generally, most of the Maximum Power Point Tracking (MPPT) techniques are based on the fixed step size considering to its simplicity and easy execution. However, the fixed step size contributes to the high power oscillation around maximum power point for large step size and slow time response for small step size. In order to compromise between these two problems, the variable step size (VSS) method is proposed. Yet, there are some deficiency occurred in the conventional VSS between time response and power oscillation. Thus, in this research paper, Auto-Scaling Variable Step Size (AVSS) Incremental Conductance (INC) algorithm technique will be employed to improve the trade-off between time response and power oscillation.Â Â
An efficient algorithm to improve oil-gas pipelines path
Authors: Naeem Hasan Almaalei Nabeel , Noor Asyikin Mohd Razali Siti , Abdulwahab Mohammed Alduais Nayef 
Published: July 2024

Oil-gas pipeline is a complex and high-cost system in terms of materials, construction, maintenance, control, and monitoring in which it involves environmental, economic and social risk. In the case study of Iraq, this system of pipelines is above the ground and is liable to accidents that may cause environmental disaster, loss of life and money. Therefore, the aim of this study is to propose a new algorithm to obtain the shortest path connecting oil-gas wells and addressing obstacles that may appear on the path connecting any two wells. In order to show the efficiency of the proposed algorithm, comparison between ant colony optimization (ACO) algorithm and a real current method of linking is used for this purpose. Result shows that the new proposed algorithm outperformed the other methods with higher reduction in operational cost by 16.4% for a number of 50 wells. In addition, the shortest path of connecting oil-gas wells are able to overcome all the addressed obstacles in the Rumaila north field, which is located in the city of Basra in southern Iraq.Â Â Â
Cross-project defect prediction using ant colony optimization
Authors: Kumar B Kiran , Jayadev Gyani Dr. , Narsimha G. Dr. 
Published: July 2024

Software defect prediction techniques applied on single project are showcasing good results because of availability voluminous data to train the model. But newly developed software projects may not have sufficient amount data to train the model. In cross-project defect prediction model (CPDP), training model is constructed by using defect dataset of one project (which contains sufficient amount of data) and tested on another project (which contains less amount of data). In this paper, we selected similar features from eight open source defect datasets from PROMISE repository and applied meta-heuristic Ant Colony Optimization (ACO) algorithm for Cross-Project defect Prediction.Â Â