Reviewerly/exHarmony huggingface dataset:
Research on Parallel CKLDC-means Clustering Algorithm Based on Hadoop Platform

The rapid development of cloud computing and Internet of Things technology has caused the explosive growth of data scale and the high complexity of data models, leading to cluster research facing many new problems and challenges, such as massive data and new computing environments. This paper deeply studies the parallel CKLDC-means clustering algorithm based on Hadoop platform, and gives the algorithm design method and strategy. Experiments on multiple data sets of different sizes show that the designed parallel clustering algorithm has a good acceleration ratio and expansion rate, and is suitable for the analysis and mining of massive data.
Medical Intelligent Wheelchair System Design

With the development of communication technology, positioning technology, speech recognition and other technologies, many traditional devices have been endowed with intelligent shells, which has greatly improved people's living conditions. In densely populated cities, public hospitals are often overcrowded, and patients with limited mobility have various problems in the process of seeing a doctor. For example, the hospital environment is complex, and patients need to be checked on different floors for different items. Examinations may take a long time to line up, and these problems prevent patients from having a good medical experience. The purpose of this design is to allow patients to have a good experience in seeing a doctor, using intelligent wheelchairs to reasonably arrange the order and time of visits for each item for patients, automatically positioning and navigating within the hospital for patients, and sending patients to the examination location. In addition, the patient can also adjust the travel speed and direction of the wheelchair through voice, so as to facilitate the use of the patient.
The Web-based Application of Small and Medium Enterprises (SMEs) Product Distribution Management with Content Management System Shopify Integration in Netasia Singapore

Netasia is a brand activation of the company named Golden Style Management Lte. Ptd. in Singapore which acts as a local partner and distributor for Small and Medium Enterprises (SMEs) from Indonesia. Netasia utilizes Content Management System (CMS) named Shopify to reach end-users. But currently, they do not have a platform for managing product distribution from preorders to vendors until distribution to stores. This research was conducted to develop a web-based application of SMEs product distribution management with CMS Shopify integration in Netasia Singapore. This research was conducted using Research and Development (RnD) method for research approaches and prototyping method for software development. The prototyping method often involves communication between developers and the company as application users, so that the application undergoes several changes. As the result of this research, the application has been successfully integrated with the data from the company's CMS Shopify through the API using cURL. The application was tested with several testing methods such as 1) black-box testing with 100% succeed percentage so the application is proper to use, 2) white-box testing with cyclomatic complexity of 4 and 100% succeed percentage for value test so the application passed the software engineering criteria, 3) User Acceptance Testing (UAT) with 94% average percentage so the application meets user expectations, and 4) browser application compatibility testing with the results that the application is compatible with all of the browser applications specified in this research for the menus function aspect, and less compatible with the Internet Explorer browser for the user interface aspect.
The role of training courses in the professional development of teachers from public school principals’ viewpoints

The study aimed to identify the role of training courses in the professional development of teachers from secondary school principals’ viewpoints in Jordan. The researchers used a descriptive–analytical approach. The study population comprised all the principals of public, private and United Nations Relief and Works Agency schools in Jordan. The researchers selected a random sample of 743 principals, including 333 males and 410 females. The researchers used a questionnaire as an instrument for data collection. The questionnaire comprised 28 items and 3 domains in which validity and reliability were confirmed. The study results showed that the role of training courses in developing teachers professionally in Jordan got an average degree. Also, they showed that there were no statistically significant differences at the significance level (α ≥ 0.05) in the estimates of the study respondents. Keywords: Professional development for teachers, school principals, training courses;
Development of Stem-Based Flipbook on Biodiversity Materials to Train Critical Thinking Skills for X-Grade Students of Senior High School

One of the skills of students in learning activities in 21st century education is critical thinking skills. Critical thinking skills can be developed by means and appropriate learning resources. The COVID-19 pandemic condition requires the distance learning process (PJJ) of course to require learning resources that can be accessed by teachers and students even though they are not in one place. One of the learning resources used in the learning process is electronic media, one of which is flipbook. Flipbook is an electronic book that is presented digitally and can be flipped that contains text, images, audio, video, and hyperlinks. Flipbook contains various features that can be used as learning resources for students on biodiversity material and can train students to think critically. The purpose of this research was produced a valid and practical STEM-based flipbook (Science, Technology, Engineering, Mathematics). Research used 4D models (Define, Design, Develop, and Disseminate stage) but Disseminate stage was not carried out. The theoretical feasibility of the flipbook was obtained from validation by expert lecturers, namely material and education expert lecturers and high school biology teachers. Flipbook validation was measured based on presentation, content, and linguistic aspects. The practicality test was evaluted based on student's responses collected by questionnaire of 13 students X MIA 4 SHS 14 Surabaya. The analysis technique was quantitative descriptive. The flipbook was said to be very feasible with a validity result of 90.75 % with very valid criteria. Flipbook is also stated to be very practical based on the results of the student response questionnaire of 93.1% with very practical criteria. It can be concluded that the flipbook based on STEM (Science, Technology, Engineering, Mathematics) on biodiversity material to train critical thinking that has been developed is declared valid and practical.
Generating Almost Descending Sequences to Reduce the Number of Movements in Sorting

Sorting algorithms usually generate strictly descending sequences. However, almost descending sequences may be sufficient to fulfill our needs in practice, and the number of movements needed for generating such sequences can be greatly reduced. We call a sequence S almost descending if <i>S</i>[<i>j</i>] - <i>S</i>[<i>i</i>] &#x003C; <i>C</i> for any <i>i</i> &#x003C; <i>j</i> and a positive number <i>C</i>, which depends on the practical circumstances. Unless the difference between <i>S</i>[<i>j</i>] and <i>S</i>[<i>i</i>] exceeds the bound <i>C</i>, we deem them indistinguishable. For example, when people are arranged in a line from tall to short, two people with heights of 1.751 meters and 1.752 meters can be considered visually indistinguishable (we can set the bound to <i>C</i> = 0.005 meters in this case). Therefore, we do not need to adjust their positions, which leads to fewer movements in sorting. In this paper, three algorithms are provided to generate almost descending sequences, and their correctness is proven. The experimental results of the proposed algorithms demonstrate that our technique can reduce the number of movements in sorting. In addition, almost descending sequences are more stable than strictly descending sequences in dynamic sorting, which is useful in online sorting and sorting in noisy environments.
Introduction and Major Themes

The study of aging and cognition has changed tremendously over the last 50 years, evolving from a field dominated by a narrow focus on age-related deficits to one characterized by approaches emphasizing the diversity of influences and complex patterns of gains and losses. The focus of the present volume builds on this trend, with the research reviewed in each of the 14 chapters being representative of current innovative conceptual and methodological approaches to the study of cognitive change in adulthood. Although the authors cover research in diverse areas of inquiry, four major themes can be identified that cut across their contributions. These include the role of motivational processes in understanding aging and cognitive functioning; the importance of context, broadly defined; the diverse approaches to intervention or application to improve age-related outcomes of cognitive performance; and the innovative methods and assessment instruments used in current studies of aging and cognition.
IMPLEMENTING SECURE DATA SHARING USING IBE USING CLOUD BASED REVOCABLE STORAGE SYSTEMS

Now days cloud computing provides a more and more convenient way for data sharing, which brings various benefits for both the society and individuals. But there exists a natural resistance for users to directly outsource the shared data to the cloud server since the data often contain valuable information. Thus, it is necessary to place cryptographically enhanced access control on the shared data. Identity-based encryption is a promising cryptographical primitive to build a practical data sharing system. However, access control is not static. To this end, we propose a notion called revocable- storage identity-based encryption (RS-IBE), which can provide the forward/backward security of ciphertext by introducing the functionalities of user revocation and ciphertext update simultaneously. Furthermore, we present a concrete construction of RS-IBE, and prove its security in the defined security model. Index Terms – Identity based Encryption, User Revocation, Access Control Policy, Cloud Computing.
AN APPROACH FOR VEHICLE TARGET DETECTION USING YOLO V3

In recent years, autonomous driving has become the key development and transformation direction of the traditional automobile industry. In the complex driving environment, automatic driving requires extremely high accuracy and high speed of detection, otherwise, it is easy to lead to traffic accident tragedy. Given the low accuracy of traditional car target detection methods in complex scenes, combined with the current hot development of deep learning, this project applies the YOLO V3 algorithm framework to achieve car target detection. In this project, we will detect cars moving on the road using deep learning techniques. Both detection and tracking vehicles such as cars, trucks, motorcycles, etc are challenging problems, especially in complex real-world scenes that commonly involve multiple vehicles, complicated occlusions, and cluttered or even moving backgrounds. This project mainly focuses on car detection can locate cars even in complex street scenes and it can apply to other vehicles by including other datasets and their class names, but false positives have remained frequent. The approximate articulation of each car is detected using YOLO V3 pretrained detector network and untrained network and their average precision and confidence scores are compared among them. The vehicle dataset having cars is used here. Software Tools: MATLAB 2021a or Above Keywords — Object Detection, Convolutional Neural Network, Deep Learning, YOLO V3
PRIVACY PRESERVING PHOTO SHARING SCHEME ON ONLINE SOCIAL NETWORKS

–Photograph sharing is an alluring component which advocates Online Social Networks (OSNs). Tragically, it might spill users'privacy assuming they are permitted to post, remark, and label a photograph unreservedly. In this paper, we endeavor to resolve this issue and study thescenario when a client shares a photograph containing people other than himself/herself (named co-photograph for short). To forestall possibleprivacy spillage of a photograph, we plan a component to empower every person in a photograph know about the posting movement and participatein the decision making on the photograph posting. For this reason, we really want a productive facial acknowledgment (FR) framework that can perceiveeverybody in the photograph. Nonetheless, really intense protection setting might restrict the quantity of the photographs freely accessible to prepare theFR framework. To manage this predicament, our component endeavors to use clients' private photographs to plan a customized FR systemspecifically prepared to separate conceivable photograph co-proprietors without releasing their security. We additionally create a dispersed consensusbased technique to lessen the computational intricacy and safeguard the private preparation set.Index Terms – photo privacy, online social network, facial recognition.
A Framework of Deploying Blockchain in Wireless Sensor Networks

The most critical needs for wireless sensor networks (WSNs) are security, privacy, dependability, and autonomy. The networks might be vulnerable to hostile users and harmful usage if these problems are not ensured. Attacks and hazards are higher with centralized WSNs, particularly when data is shared with other businesses and sent between devices. In this paper, a WSN model with integrated blockchain security technology is proposed. Blockchains store the identity of each node. The validation is done by public blockchains and private blockchains. For sensor nodes, the authentication is implemented on the private blockchain. The public blockchain is used to authenticate cluster heads. Performing network attacks can easily be performed by unregistered nodes to access resources in the network. Broadcasting false information on the path of malicious nodes can increase packet latency and reduce packet delivery rate. In this paper, the model recommends the most secure nodes in the network to be used for secure routing. The main purpose is to reduce the attack of hackers from outside the network, improve the efficiency of detecting malicious nodes.
Grouping Library Book Collection Based On Old Book Borrowers With Clustering Method (Case study: STMIK Kaputama)

Libraries are institutions that collect printed and recorded knowledge. Books can be borrowed at the library for a length of time according to library regulations. Based on observations that some types of books in the library of STMIK Kaputama have a very high ratio of the number of borrowers, while the availability of books is limited. The addition of new book collections cannot be done because the storage capacity of the collection is limited. Based on these conditions, the grouping of book collections based on the length of book borrowing is carried out to optimize the service time for borrowing books. This application was created to assist librarians in determining the optimal length of book borrowing. So in this case, we will design and build a system that will be used in grouping library book collections based on the length of borrowing and the variables determined using the clustering method. The purpose of this research is to design and build a system for grouping library book collections in order to produce information quickly about the availability of books in the library.
Description Of Knowledge Level Of Antibiotic Drug Use In Tanjungmojo Village, Kangkung District, Kendal Regency

The level of public knowledge about the use of antibiotic drug classes is still low and causes a high level of irrational use. This study is a descriptive study. Data collection was carried out by survey, namely meeting respondents directly by giving questionnaires. The results showed that the level of knowledge on the use of antibiotic class drugs in tanjungmojo village, kangkung kendal district was still lacking. This can be seen from the results of the questionnaire. The average of the last education taken by respondents in tanjungmojo village , kendal regency was at the sma/smk level. The average occupation of respondents in tanjungmojo village, kangkung district, kendal regency is labor. The level of knowledge in tanjungmojo village, kangkung district, kendal regency, is categorized as moderate , this can be seen from the results of research between the highest level of knowledge and the lowest level of knowledge.
Coconut Wood Density Image Processing Techniques Based On Texture Image With Comparison Of Sobel Edge Detection Algorithm And Canny Edge Detection Algorithm

Indonesia is the second largest country that has Cocos nucifera coconut trees, coconut wood has a strength that is not inferior to existing forest wood, other building elements and for mabel and building construction materials. Coconut wood also has unique fibers, so it has a high aesthetic value. The quality of coconut wood, namely strength and durability, is determined by many factors, one of which is the pattern of fiber density in coconut wood. How to find out the density of coconut wood digitally by detecting the outer patch of coconut wood using a computer so that it can make it easier and help determine the image of quality coconut wood. To determine the quality of coconut wood by looking at the fiber density by reducing noise before calculating the edge detection so that more edges are produced. By checking the numbers if the value of the number &gt;= 128 then the binary value given is 1, if the value of the number &lt; 128 then the binary value given is 0, then the binary value given for the numbers 12,12,10 is 0,0,0. And By checking the numbers if the value of the number &gt;= 128 then the binary value given is 1, if the value of the number &lt; 128 then the binary value given is 0, then the binary value given for the numbers 12,29,-28 is ,0,0, 0.
Utilization of Macromedia Flash Application Technology as Learning Media Development in Solving Islamic Religion Test Questions SPSS Data Processing

The use of Multimedia Technology in the development of learning innovations in the digital era shows that the use of macromedia flash applications is very influential on the interest and motivation of students in solving both practice questions and exam questions, this is because in addition to using computer tools, the scores we get are directly listed. after doing the questions. Based on the results of testing using the SPSS application related to learning media and motivation on student satisfaction with a large sample of 30 people, the results obtained F = 21,645 with sig 0.000 meaning that there is a significant influence with the use of multimedia on student satisfaction in the implementation of learning.
Cryptgrapy Algorithm Variably Modified Permutation Compotition (VMPC) on Image Security

The development of technology as it is today allows everyone to exchange information without any limitations of time and distance. The possibility that there will be a data leak during the information exchange process is carried out. Therefore, in sending data, especially images, aspects of security, confidentiality and efficiency of data storage are very necessary. If this important information falls into the wrong hands, it will cause unwanted things, for example image manipulation in a negative form and can harm the owner of the image. One of the methods used to maintain the security of the data is cryptography using one of the techniques, namely Vmpc. The strength of this algorithm lies in the difficulty of calculating discrete algorithms on prime integers in which multiplication operations are performed. In this study, the author encodes the image encryption with the Vmpc Algorithm to decrypt the key from Vmpc. System implementation using Visual Basic Net 2010 programming language.The results of the implementation with the initial encrypted image having a time of 4282.85 Milliseconds with randomized image results while the encrypted image will be re-decrypted which has a time of 20442.84 Milliseconds with the image results returning to the beginning.
Signature Recognition Using Backpropagation Artificial Neural Network Method

A signature is a sign or symbol that is a miniature version of its owner. A signature is also a biometric feature that can be used to verify a person's identity. The signature used as a personal identification as well as the presence of a signature in a document states that the party who signed, knows and approves or as ratification of the entire contents of the document and becomes legal evidence. Signature recognition is done using an artificial neural network with backpropagation algorithm. In the backpropagation algorithm, signatures are trained to recognize a person's signature with some data such as target data, training data and test data. Then the network is tested for networking. The results of the application are used to recognize signature recognition using the backpropagation method obtained with different accuracy according to the original data obtained from feature extraction. Where the lowest accuracy is 30% and the highest accuracy is 100%
The Relationship Of Online Learning To The Quality Of Student Learning Akper HKBP Balige Year 2020

Learning is an important factor in a person's daily life. Learning is an important factor in a person's daily life. Saiful Mujani Research and Consulting (SMRC) released data on the results of a survey conducted in the period 5 - 8 August 2020 related to online education during the Covid-19 pandemic. The results of the survey showed that 92% of students had a lot of problems participating in online learning during the corona pandemic. This type of research is cross-sectional quantitative research. The population is all Level I and II students of Akper HKBP in 2020. The sample amounted to 79 people, sampling technique is the total sampling. Data collection is done by using questionnaires, data analysis is univariate analysis, analysis and analysis of multivariate bvariety. The results of the statistical test obtained a value of p=0.000, it can be concluded that there is a relationship of online learning to the quality of student learning Akper HKBP Balige in 2020.
IMPLEMENTASI APLIKASI PEMESANAN MAKANAN DAN MINUMAN PADA CAFE LA BANCA BERBASIS ANDROID

Along with the development of technology, most cafes have used technology in business processes to simplify the ordering and service process. Currently La Banca cafe is still using a manual system, where food and beverage orders still use paper and pencil, so there are frequent recording errors, duplicate orders, random orders, resulting in the ordering process being slow and irregular. Therefore, an android-based food and beverage ordering system will be built. The method used is the prototype method. Interview technique is used to obtain system requirements specifications. This application is built using the MySQL database, the PHP programming language on the web side, and the Java programming language on the Android side. In addition, the system design process uses UML diagrams. Therefore, it is hoped that the application that is built can facilitate the process of ordering food and drinks from customers to the waitress to the kitchen and make it easier for leaders to monitor business processes that occur online. Based on the results of blackbox testing, both on the web and on the android side, we get the appropriate results between the input given and the output generated.