Reviewerly/exHarmony huggingface dataset:
Analysis of UAV path planning effectiveness and evaluation index scores combined with urban logistics scenarios

Using logistics drones for distribution is an optional solution to the problems of saturated logistics industry, insufficient transportation capacity, and high work pressure on employees in real cities. In a realistic urban environment, it is of practical significance to establish a logistics drone path planning model to improve the efficiency of logistics drones by fully considering the multiple requirements of both logistics service parties, such as time and location, and aiming at minimizing transportation costs. Aiming at this problem, this paper analyzes and studies the path planning problem of unmanned aerial vehicles based on the factors that need to be considered in actual life logistics distribution. Firstly, the actual scenario requirements of logistics UAV applications are analyzed and a path planning algorithm for this scenario is enumerated. Subsequently, mathematical models are established from both path planning and customer satisfaction to assess the performance of logistics drones. Then, a comparative analysis of four existing classical path planning algorithms is conducted, and simulated annealing algorithm is used to optimize logistics delivery scenarios for path planning. Finally, combining the mathematical model and simulated annealing algorithm constructed in the previous article, logistics UAV simulation experiments are conducted in urban distribution scenarios and an ideal path planning model is obtained. The work of this article provides a certain reference basis for logistics companies in the application of logistics UAVs and the selection of path planning methods.
Development and application analysis of the quadrotor UAVs attitude control

Due to the economy's tremendous growth and the technology's impressive advancement, the practicality of UAVs has become a hot topic of concern for all sectors of society at present. According to the classification of flight platform configuration, drones may be split into many different types. Quadrotor drones are a common type of aerial robot, which is widely used in civilian and military fields at this stage. The safety and stability of the UAV in use are particularly important, so its flight attitude must be humanly tuned and controlled. This paper mainly analyzes the attitude control technology of quadrotor UAVs. Firstly, the key components and technical difficulties of attitude control are analyzed. Then some common control methods and application scenarios of current mainstream control methods are introduced and analyzed in detail. Finally, future research directions are analyzed and summarized based on the existing methods.
Local planning for autonomous navigation based on forward prediction and motion primitives pruning

This paper discusses the problem of local path planning for autonomous vehicles. This article introduces pruning strategies and their related map construction and data processing. Next, a forward path planning strategy was introduced, and a universally applicable path selection method was provided. The value of forward prediction strategy for autonomous driving technology was demonstrated by comparing it with ordinary mobile robot path planning algorithms. Then, the optimization of the forward paths through a pruning strategy reduced the time required for updating data by the algorithm introduced in the article. This article refers to the data provided in two literatures, compares and analyzes the advantages and disadvantages of two path planning schemes, and attempts to combine some of their advantages. At the end of this article, the calculation results based on MATLAB mathematical modeling are provided, and the rationality analysis of this path planning strategy is provided as well. Based on these analyses, this article provides suggestions for optimizing path planning algorithms.
Improved path planning method for unmanned aerial vehicles based on artificial potential field

With the advancement of unmanned aerial vehicle (UAV) technology and its widespread use in many facets of manufacturing and daily life, the need for UAV mission automation is becoming more and more practical. In order to improve the automatic obstacle avoidance and path planning performance of UAVs, this essay proposes an optimized route planning algorithm based on the artificial potential field (APF) method, which have solved the typical issue of the APF. This method chooses to conduct a pre planning trajectory of the UAV based on a rapidly expanding random tree (RRT). The pre-planned path will be split into continuous particles, and then generating intermediate waypoints. A nearby waypoint offers a gravitational force to aid the UAV in escaping the local minimum when it enters it. At the same time, taking the distance from the UAV to the obstacle and the radius of influence of the obstacle itself into consideration, dynamically adjust the gravitational and repulsive coefficients, set up a non-gravitational zone around the obstacle, which is beneficial for the UAV to elude the obstacle. And set up a repulsive limited action zone to reduce unnecessary turns in the trajectory to achieve the effect of path optimization. Considering the difficulty of single UAV missions in most cases, this paper discusses cooperative flight path planning for multiple UAVs into consideration.
Note on Abbreviations and Transliteration

Extract * * * I have used IJMES transliteration conventions with some modifications. I have chosen to write names of certain places and people as they appear in archival sources without diacritic marks to facilitate research.
Kemudahan Mencari Referensi Dengan LMS UNIKOM

The Covid-19 pandemic has profoundly impacted the education and work sectors, resulting in significant transformations. The prevalence of online learning and remote employment has necessitated adaptation within numerous institutions, including university libraries like the Unikom Library, to cater to the needs of their readers effectively. Initially, the Unikom Library encountered challenges due to its primary emphasis on printed books in its collection, with digital collections not yet receiving significant attention. This poses a challenge in delivering sufficient services. To address this issue, the Unikom Library implemented an innovative approach by incorporating electronic materials into the Learning Management System (LMS), namely Moodle, a platform for online education. This aims to comprehensively account for successfully integrating the Unikom Library e-resources program with the LMS, employing a unified access approach. Consequently, incorporating library materials into the LMS has demonstrated significant efficacy amidst the epidemic, as evidenced by increased user engagement. This observation indicates that the electronic resources accessible through the LMS at the Unikom Library have emerged as a viable and efficient option for readers seeking reference materials. The integration of electronic resources with the LMS has been beneficial for the Unikom Library, enabling it to maintain its relevance and effectively cater to the needs of its users among the challenges posed by the current circumstances. The statement above underscores the significance of adaptability and innovation as crucial factors in addressing the various issues encountered by educational institutions and libraries amidst the digital era and ongoing pandemic.
The Effect of Using Observe and Remember Game in Mastering Vocabulary English Students at the Second Grade of SMPN 1 Harau

The vocabulary mastery of English students at the 2nd grade of SMP N 1 Harau was often constrained by the problem of the lack of students’ ability to remember vocabulary. Students had little vocabulary and they thought English was difficult to learn. The researcher tries to offer a strategy for teaching vocabulary by using "observe and remember" games.This research was conducted to know whether there was an effect of using the observe and remember game as a strategy in teaching vocabulary to improve students' vocabulary mastery. The research used a quantitative approach with a research design used a quasi-experimental. In this study, the researcher used 2 classes as the sample class, which consisted of the experimental class and the control class. The results showed that there was a significant effect of using the observe and remember game in mastering vocabulary. The researcher found the mean score of the post-test was 68,00. It was higher than the pre-test was 34,06 and obtained that the t-calculatedwas 14,46 bigger than the t-table was 2.042. It means that the Ha was accepted. In addition, there was a significant difference between the students who were taught by using the observe and remember game (68,00) and the students who were taught without using the observe and remember game (51,58). The observe and remember game was effective to improve students’ vocabulary mastery in the 2nd grade students of SMP N 1 Harau.
Project Based Learning: Promoting Cross-Cultural Understanding using Android Application at an Indian University in Gujarat

Students in a project-based learning environment get experience with actual, hands-on projects. In this article, we present the experience obtained in a Mobile Application Development course. In addition, available multi-country criteria of this research enable us to investigate probable cross-cultural variances. The purpose of this project was to design and create apps (or simply app) for Android-based devices. The chosen methodology, based on Project-Based Learning, boosted both cooperation and rivalry among students. This research offers the outcomes from a heuristic assessment by students at Indian university in Gujarat for the students of three nations. Total 120 students are recruited for this research from a university in Gujarat. "It was established that a project-based learning approach is an effective and engaging way for translation students to experiment with their translation skills and different translation theories, achieve linguistic and cross-cultural understanding of different cultures while participating actively in various organised learning activities.'' More significantly, they have elevated their intercultural awareness and strengthened their intercultural communication ability. As students engage in this kind of project-based, introspective, and exploratory learning, they grow in their confidence as communicators (both verbally and in writing), their willingness to take intellectual risks, and their awareness of cultural variety. Its educational ramifications are examined.
Feature Classification and Extreme Learning Machine Based Detection of Phishing Websites

Phishing is a cyber-attack that uses a phishing website impersonating a real website to deceive internet users into disclosing sensitive information. Attackers using stolen credentials not only utilize them for the targeted website, but they may also be used to access other famous genuine websites. This paper proposes a novel approach for detecting phishing websites using a feature classification technique and an Extreme Learning Machine (ELM) algorithm. The proposed system extracts various features from the website URL and content, including text-based, image-based, and behavior-based features. These features are then classified using a feature selection technique, which selects the most relevant features to improve the detection accuracy. The selected features are then fed into the ELM algorithm, which is a powerful machine learning method for classifying and predicting data. The ELM algorithm It trains upon a huge set of data legitimate &amp; phishing websites, and final outcome model is applied to classify unknown websites as either legitimate or phishing. The proposed approach is evaluated on several benchmark datasets and compared with other state-of-the-art phishing detection methods.&#x0D; The experimental results demonstrate that the proposed approach achieves high detection accuracy and outperforms other methods in terms of precision, recall, and F1-score. The proposed approach can be used as an effective tool for detecting and preventing phishing attacks, which are a major threat to the security of online users.
Hybrid post-quantum Transport Layer Security formal analysis in Maude-NPA and its parallel version

This article presents a security formal analysis of the hybrid post-quantum Transport Layer Security (TLS) protocol, a quantum-resistant version of the TLS protocol proposed by Amazon Web Services as a precaution in dealing with future attacks from quantum computers. In addition to a classical key exchange algorithm, the proposed protocol uses a post-quantum key encapsulation mechanism, which is believed invulnerable under quantum computers, so the protocol’s key negotiation is called the hybrid key exchange scheme. One of our assumptions about the intruder’s capabilities is that the intruder is able to break the security of the classical key exchange algorithm by utilizing the power of large quantum computers. For the formal analysis, we use Maude-NPA and a parallel version of Maude-NPA (called Par-Maude-NPA) to conduct experiments. The security properties under analysis are (1) the secrecy property of the shared secret key established between two honest principals with the classical key exchange algorithm, (2) a similar secrecy property but with the post-quantum key encapsulation mechanism, and (3) the authentication property. Given the time limit T = 1,722 h (72 days), Par-Maude-NPA found a counterexample of (1) at depth 12 in T, while Maude-NPA did not find it in T. At the same time T, Par-Maude-NPA did not find any counterexamples of (2) and (3) up to depths 12 and 18, respectively, and neither did Maude-NPA. Therefore, the protocol does not enjoy (1), while it enjoys (2) and (3) up to depths 12 and 18, respectively. Subsequently, the secrecy property of the master secret holds for the protocol up to depth 12.
Digital Competences in The Soft Skills of Primary Level Teachers

The research, as a result of the thesis degree, was developed in order to present a proposal that allows strengthening the digital skills in the soft skills of teachers at the primary level of the Pacaipampa district of Piura-Peru. It is based on the theories of cognitivism, constructivism and connectivism, so that teachers learn new strategies and techniques, and how to apply them in the teaching and learning processes of the students of the educational institutions of the aforementioned district, in an active, motivating and autonomous during their academic phase. The applied methodology is of a basic type, propositional descriptive level, with a quantitative approach, with the total population of 100 teachers participating in the survey, applying two questionnaires with their respective validation. The Excel tool was used to tabulate the results, in which was detected that in digital skills, the category with the highest percentage in 4 of the 5 dimensions is sometimes, while in soft skills "almost always" predominates in 3 of the 5 dimensions. This indicates that both skills should be reinforced in teachers in an articulated way with innovative strategies. The final product was the preparation and presentation of a proposal for activities and implementation phases that strengthen training in the skills of the two variables, thereby facilitating the updating of teaching while optimizing teaching-learning processes, facing the challenges of the digital society and fully train students with the skills demanded in the 21st century.
Аpplication of Big Data in laboratory medicine. Russian Journal for Personalized Medicine

The term “big data” (Big Data) refers to data sets, covering the excessive difference in differences between databases in the storage, management and analysis of information. The emergence of big data application algorithms has become the consumption of resources that use resource resources for information processing and computer calculations for the purpose of big data for statistical processing, analysis, forecasting and decision making. In laboratory practice, with a large amount of practical digital information, the use of big data is not currently widespread. The purpose of this work is to conduct a retrospective review of the literature on the use of big data in the field of laboratory medicine in the period 2018–2023. and evaluating the results of practical developments, benefits and achievements associated with big data analytics in the field of laboratory.
Development of android-based educational games about the domain of educational technology

This research aims to produce an Android game product containing TP Domain material that is feasible as an alternative learning media for Raharja University students. The feasibility value is known through expert assessment, potential users, and learning usability. Product development was carried out through five main stages: preliminary study, planning, design, development, and evaluation. Data collection was carried out by preliminary study interviews, learning style identification, expert validation, potential user validation, and experimental testing. The number of respondents consisted of one lecturer, two media and material experts, and 60 students. The results showed that the developed product has met the eligibility criteria of media validation, material, prospective users, and usability testing. The material expert's assessment falls into the very feasible category, while media experts and prospective users fall into the feasible category. The product is also proven to have usability based on the difference in the average pretest and posttest scores of the two test groups, so that the comparison of the gain values shows a significant difference
Web-Based Library Information System Design

School libraries generally aim to provide information services on borrowing and returning books to students and teachers. The library of Pasundan 7 Bandung Junior High School has a large collection of books, both in the form of textbooks, collections of questions, magazines and newspapers. However, this library has not been well managed because all activities still use manual methods and do not have good documentation. This can be seen from the way students experience difficulties when looking for the desired book, then the process of recording borrowing and returning books that are still manual so that it takes a long time and the data storage is not guaranteed, the number of scattered records that confuse officers when matching data to make reports, because it is only stored in the form of ordinary archives that are easily lost. Therefore, a web-based library information system is needed at Pasundan 7 Bandung Junior High School. The Library Information System of SMP Pasundan 7 Bandung aims to assist library staff in minimizing service time with the help of computerized transactions, especially in book loan and return transactions. In designing an information system, all data related to the library is stored in a file warehouse called a database. To produce a good and correct database, it is necessary to carry out system design stages. The goal is to produce good data input. This Final Project discusses the design of creating a web-based information system, which can assist library staff in the process of delivering library information at Pasundan 7&#x0D; Bandung Junior High School. This research focuses on designing a library information system in a school environment. The purpose of this research is to change the pattern of conventional services into computerization to facilitate data management in book borrowing and returning transactions in preventing data loss. The research method used is descriptive analysis method, which is a research method that tries to describe the object or subject under study objectively, and aims to describe the facts systematically and the characteristics of the object and the frequency studied precisely. Information system design is built using the waterfall method. Or through sequential stages in the hope of producing a design that is in accordance with the existing target needs. Data collection methods by means of interviews and direct observation. The results showed that using a computerized system is much more effective than the conventional way and even more efficient. The effectiveness of implementing a web-based Library Information System at Pasundan 7 Bandung Junior High School can be seen from the service process carried out.&#x0D;
FLOOD MODELLING OF RIAM KIWA WATERSHED USING HEC-HMS

At the end of 2021 to early 2022 several areas in Banjar Regency were flooded. This incident had a major impact on the surrounding area and became a national concern. One of the causes of the disaster was high-intensity rainfall which caused the water in the Riam Kiwa River to overflow. HEC-HMS software was used to simulate the designed flood discharge. This research aims to model the magnitude of the designed flood discharge with return periods of 5, 25, 50, and 100 years. Due to limitations of rainfall data from the field, satellite data from GSMaP were collected. In the distribution of rainfall frequency analysis, the Log Pearson type III method was chosen for calculating designed rainfall. Then, the Modified Mononobe Method was applied to calculate hourly rainfall intensity. Other data i.e., soil types, slope gradient and land use were analyzed using ArcGIS application. These three data produced hydrological parameters which were used as input values in the HEC-HMS using the Soil Conservation Service (SCS) method. Three parameters’ values show that Riam Kiwa watershed has more than 90% clay with a slope gradient of 83.58% (steep slope) and land use is predominantly consisted of mixed dryland agriculture (47.73%). From HEC-HMS simulation, it was found that Riam Kiwa watershed with an area of 1781.77 km2 produces maximum flood discharge ranges from 8,822.3 m3/s to 17,058.6 m3/s; with a water volume ranges from 182,991.9 m3 to 340,889.6 m3 in 5 years to 100 years return periods, respectively. From the results, it can be concluded that impermeable clay soil and steep slope are the two major factors that contribute to the flooding occurrence in the area.
Lightweight MobileNet Model for Image Tempering Detection

In recent years, there has been a wide range of image manipulation identification challenges and an overview of image tampering detection and the relevance of applying deep learning models such as CNN and MobileNet for this purpose. The discussion then delves into the construction and setup of these models, which includes a block diagram as well as mathematical calculations for each layer. A literature study on Image tampering detection is also included in the discussion, comparing and contrasting various articles and their methodologies. The study then moves on to training and assessment datasets, such as the CASIA v2 dataset, and performance indicators like as accuracy and loss. Lastly, the performance characteristics of the MobileNet and CNN designs are compared. This work focuses on Image tampering detection using convolutional neural networks (CNNs) and the MobileNet architecture. We reviewed the MobileNet architecture's setup and block diagram, as well as its application to Image tampering detection. We also looked at significant literature on Image manipulation detection, such as major studies and their methodologies. Using the CASIA v2 dataset, we evaluated the performance of MobileNet and CNN architectures in terms of accuracy and loss. This paper offered an overview of the usage of deep learning and CNN architectures for image tampering detection and proved their accuracy in detecting manipulated images.