Reviewerly/exHarmony huggingface dataset:
Selected flute percussive techniques and their impact on Sound Emission and Articulation

Through auditory analysis and advanced methods of sound analysis was possible to understand and explain the selected effects of the contemporary percussive flute technics in the modification of the diaphragm support, throat and embouchure, articulation, and the respective sound and musical results.The research has been conducted systematically with the aim to deepen the theoretical knowledge and practical skills of the students, learn the types of percussive effects and their symbols, and add them to their daily studies.For this purpose, different compositions and excerpts of compositions employing various types of contemporary percussive effects have been selected and applied to resolve effectively various problems in sound production in the interpretation of contemporary music, as well as music of other historical eras.
Non-Uniform Illumination and Low Light Image Enhancement Techniques: An Exhaustive Study

Abstract: Different kinds of Images captured are an important medium to represent meaningful information. It can be problematic for artificial intelligence, computer vision techniques and detection algorithms to extract valuable information from those images with poor lighting. In this paper, a study of low illumination-based low-light night image enhancement techniques are presented which work on reflectance, degradation, unsatisfactory lightings, noise, limited range visibility, low contrast, color variations, illumination, color distortion, and quality is reduced. Improving the images in low light conditions is a prerequisite in many fields, such as surveillance systems, road safety and inland waterway transport, object tracking, scientific research, the detection system, the counting system and the navigation system. Low-illumination or night image enhancement algorithms can advance the visual quality of low-light images and these images can be used in many practical application’s artificial intelligence and computer vision techniques. The methods used for enhancement of low illumination must perform, preserving details, contrast improvement, color correction, noise reduction, image enhancement, restoration, etc. Keywords: Image Enhancement, Low Illumination, Reflectance, Low Contrast, Low Light Images, Night Time Images, Low Visibility Images.
Early Detection and Classification of Breast Cancer Using Mammograms by Machine Learning

Machine learning-based classification of breast cancer and its detection is possible without toxic therapy by a well-trained model. The machine learning model detects features and patterns form the data sets that used when training model which is useful for detecting tumor and classify whether it is a benign or malignant and this process simplifies the cancer detection and gives results accurately at a faster rate when compared to the other traditional methods like Magnetic resonance imaging (MRI), Coronary artery disease (CAD), Modalities using ultrasound, etc. Here I am proposing a new technique through which breast cancer can be easily detected by a proper training model with the help of few classifying algorithms in this research a good set of data is used for training classifier machine algorithms in Microsoft azure by comparing all those five algorithms accuracy and working these are the five algorithm models are 2-class Support vector machine, 2-class Neural Networks, 2-class Boosting Tree, 2- Class Logistic Regression, 2-Class Bayes Point and acquired better results which can lead and helpful for detecting cancer in future by using machine learning and deep learning techniques.
Invacare LiNX Gyro Power Wheelchairs

Biomedical Safety & Standards: March 15, 2022 - Volume 52 - Issue 5 - p 34-35 doi: 10.1097/01.BMSAS.0000822800.55234.0a
THE IMPLEMENTATION OF COMMUNICATIVE LANGUAGE TEACHING PRINCIPLES IN TEACHING BUSINESS LETTER WRITING AT GENTA ENGLISH COURSE

Letter writing is one of the communication form that only can be done by writing. writing skill is skill that can not be gotten by naturally, unlike speaking. White in Khoo (1981) writing is not natural talent. Due to the difficulty, CLT is one of teaching English approaches that highly recommended that has goal to develop the student’s communicative both in speaking and writing. The aim is to identify the teaching at GENTA English course in teaching business letter writing class, first, about the process of teaching, the obstacles, the factors obstacles, and the strategies to solve the obstacles. The design of this research is qualitative descriptive, the qualitative method employed for analyzing the implementation of CLT principles in teaching business letter writing at GENTA English Course. The imstruments used to collect the data are: interview guide line, observation chceklist, and documentation. The result for different finding, (1) The process which includes the preparation (syllabus, lesson plan, material, and attendance list), implementation (pre-teaching, whilst- teaching, and post-teaching), and evaluation, (2) the obstacles faced by teachers and students: some groups did not work significantly, time is sometimes over, the students are too noisy, (3) the factors caused the obstacles faced by teachers and students: the random grouping, time management, the topic is too interesting, students are enjoying the topic, and (4) the strategies to solve the obstacles: teacher may do the grouping considering the active students as the leading agent of each group, teacher should carefully plan the time management, teacher may give some limitations to the students’ participation in the classroom, and add more meetings so that the goals are achieved.
Pendampingan Penerbitan dan Penyiapan Akreditasi Nasional bagi Pengelola Jurnal Bidang Pengabdian kepada Masyarakat Perguruan Tinggi di Kota Semarang

Activities with service journal managers as research targets aim to increase managers' knowledge about management and journal articles' substance quality. Manager's knowledge which is the focus of activities, refers to the accreditation assessment of national journals. The main target of community service activities is the manager of the university service journal in Semarang. The method of mentoring activities is carried out online, divided into two forms: for management and article substance. Evaluation of activities was carried out through analysis of the value of pre-test and post-test questions on journal management and article substance and questionnaire analysis of participants' feedback. The average pre-test score is 65, and the post-test is 84, indicating an increase in knowledge on the target activities. From the mentoring in publishing service journals that have been carried out, the journal manager (the target of the activity) has had broader knowledge about the management and substance of the article. The accreditation simulation in the mentoring process has provided an authentic experience for managers to be more prepared to propose accreditation and reaccreditation of service journals.
Data Augmentation Techniques and Transfer Learning Approaches Applied to Facial Expressions Recognition Systems

The face expression is the first thing we pay attention to when we want to understand a person’s state of mind. Thus, the ability to recognize facial expressions in an automatic way is a very interesting research field. In this paper, because the small size of available training datasets, we propose a novel data augmentation technique that improves the performances in the recognition task. We apply geometrical transformations and build from scratch GAN models able to generate new synthetic images for each emotion type. Thus, on the augmented datasets we fine tune pretrained convolutional neural networks with different architectures. To measure the generalization ability of the models, we apply extra-database protocol approach, namely we train models on the augmented versions of training dataset and test them on two different databases. The combination of these techniques allows to reach average accuracy values of the order of 85% for the InceptionResNetV2 model.
Camera Handoff for Multicamera Multiobject Tracking

In recent years, the unmanned economy has begun to develop rapidly worldwide.Unmanned shops use technology to replace human personnel and increase efficiency.This technology has increased the demand for accurate and efficient camera surveillance systems.Camera handoff is a crucial step in the tasks of continuous target tracking and the maintenance of consistent crosscamera target marking in a multicamera surveillance system.In this study, we proposed a method of indoor multicamera handoff.To ensure continuous target tracking, the minimum number of required frames was maintained and at least one camera tracked each target.We employed the background subtraction approach to detect the target.Next, we used three trackability measures to evaluate the tracking object and trigger camera handoff accordingly, selecting the optimal camera for target tracking.The three measures considered were the resolution, occlusion, and distance to the edge of the camera's field of view.When one of these reached a preset threshold with an increasing trend, the system triggered the camera handoff.
METHODS OF ANALYSIS IN INDUSTRIAL DESIGN

The research discussed the analytical approaches that fall into the essence of product design analysis process, and the research focused on six basic approaches to analysis of industrial product design: (formal analysis method, functional analysis approach - pragmatism, structural analysis approach, semiotic analysis approach, Marxist analysis approach, and Anthropological analysis approach), and it was concluded that each of the proposed approaches intends to analyze industrial products based on the knowledge structure and intellectual references that define the approach. A set of conclusions were reached, the most important of which were: The process of analyzing industrial products is in fact a complex process, and it needs a lot of knowledge references to analyze the design product based on the fact that the design product is a complex entity and thus needs a comprehensive system that combines the proposed approaches to form a comprehensive approach to analyzes Industrial products according to it.
4299 Published By: Blue Eyes Intelligence Engineering &amp; Sciences Publication Retrieval Number F8598088619/2019©BEIESP DOI: 10.35940/ijeat.F8598.088619 Journal Website: www.ijeat.org A Fuzzy Based Inference System to Adjudge Career Preference

To evaluate students performance in choosing career opportunities at educational intuitions is a strenuous process. To guide students and to drive them towards their openings, they are tested on their study skills in the areas of aptitude, verbal and reasoning using Fuzzy Base Inference System (FBIS). Based on the performance a student can opt for placement, higher studies or appear for competitive exams. This paper provides a complete data of students performance by analyzing the concepts on the attributes of time taken and the number of questions attempted by student in aptitude and verbal components. Generally students performance is evaluated using statistical method but in this paper we use mathematical method to analyize the performance of students. Since this analysis include the performance of a student on the time taken in solving the problems. This method enables a student to understand the area in which he or she has to strengthen. FBIS gives us appropriate data on each parameter, thus help us give the student special attention in the specific area. As verbal, Quantitive Aptitude and Time taken in solving the questions is equally important in acquiring maximum score, FBIS plays a major role in enhancing the score level of the students.
IMPROVING THE QUALITY AND EFFICIENCY OF EDUCATIONAL SYSTEMS – A CONDITION FOR THE DEVELOPMENT OF SOCIETY

The common vision of the school and the community in relation to what “school” means underlies the policy of institutional development and prefigures the ways to increase quality. The concrete situation in which the school operates indicates, in general, the needs expressed by the educational actors. The need for a coherent, systemic approach to quality in education and training leading to the optimization of public spending, improving access to education for young people from all social groups, maintaining high standards for education, and its international openness, is unanimously recognized in Europe.
Pengembangan Convolutional Neural Network untuk Klasifikasi Ketersediaan Ruang Parkir

Information on the availability of parking spaces is needed for drivers. Drivers walking around looking for parking spaces have negative impacts, including traffic jams, waste of fuel, increasing pollution and even causing driver panic. Classification of parking spaces properly and quickly becomes a solution to present information on the availability of parking spaces. Based on the technology used, parking space classification usually uses sensors or computer vision. However, computer vision is lower in cost usage because a single camera can classify multiple parking spaces simultaneously. Convolutional Neural Network (CNN) is a popular method in dealing with vision problems. mAlexnet is one of the CNN architectures that has succeeded in classifying parking spaces well, but its accuracy still needs to be improved. A better architecture of mAlexnet needs to be made to improve classification accuracy and speed. In this study, we designed a CNN architecture named ParkingNet. Based on testing using sub-dataset camera B from the CNRPark dataset, ParkingNet is better than mAlexnet, both in terms of accuracy, the number of parameters, and FLOPs. ParkingNet managed to outperform mAlexnet's accuracy by 0.68%. Although not significant, ParkingNet is faster in classification due to the smaller number of parameters and FLOPs. The number of ParkingNet parameters is 4/5 mAlexnet parameters and the number of ParkingNet FLOPs is 2/5 mAlexnet. ParkingNet can be implemented in a smart parking system to classify parking spaces with lower computational costs.
Application of Simulated Annealing Optimization Model in Foundation Settlement Prediction

Reasonable prediction of foundation settlement is of great significance to saving construction cost, ensuring construction quality and ensuring the safety of construction process.In neural network to reduce the error of gradient descent, easy to fall into local optimum and higher requirements for the number of original data and shortcomings of simulated annealing optimization model is put forward, realize the prediction of finding the global optimal and focus on the time delay neural network are optimized by the coordination factor (FTDNN) and nonlinear regression neural network (NARNN) the accuracy of the two models, Improve the prediction error caused by insufficient original data.The results show that the accuracy of the simulated annealing optimized prediction model is significantly higher than that of the two neural networks alone, which has certain engineering significance.
IMPROVISATION AS A METHOD OF COMMUNICATIVE SKILLS DEVELOPMENT

1. result of quiz show that the recipients can hardly use personal experience of visiting the majority of regions and can't build up representations of it.They overestimate unconsciously the importance of their personal experience it their views and at the same time make down importance of mass media, though they almost duplicate images provided by mass media.
The COMET Method: Study Case of Swimming Training Progress

Many factors influence the preparation of the top form for the main swimming competition. The direct preparation period lasts for about 3 months, during which the competitor swims hundreds of kilometers on different intensities. Heart rate measurement after the tasks can be used to assess the progress of preparations and determine the trend in which the athlete’s form is heading. In this paper, we collected real data from three professional swimmers. Using the multi-criteria method called COMET, the values of attributes characteristic for each swimmer were introduced. The results of the preference values obtained from the COMET method were used in the linear regression to determine the trend of the player’s form. The obtained model allows a broader analysis of the progress in terms of particular criteria sensitivity and robustness analyses.
Partition based Single Scan Method for Mining Frequent Item Sets

Frequent Itemset mining (FIM) concept and limitations are explored in this paper, for the purpose of extracting unknown hidden patterns as itemsets from the transactional database. Since candidate generation and support calculations are the major tasks in FIM, the major limitations of FIM are tackled, (i) huge possible frequent itemsets are generated as candidates at each pass (ii) Data base scan at each pass to calculate the support of the generated itemsets (iii) generated itemsets are highly sensitive to the minimum support threshold. SS-FIM a single scan algorithm is to deal with the above limitations. However, several unnecessary itemsets are being hashed in the buckets. To overcome the limitations, a partition based approach is proposed in this paper. The proposed approach, PSSFIM, takes single scan of the database to identify frequent itemsets. The unique feature of PSSFIM allow to generate size of candidate itemsets independent on the minimum support. It allows the candidates in hash that are possible for frequent, which intuitively reduces the cost in terms of verifying the support of generated candidates. It is compared with SS-FIM and Apriori with the standard datasets. The results show that the PSSFIM is good at the comparison of SS-FIM and Apriori.
Decision Support System To Choose The Best Social Media Platform For Product Marketing Using Topsis Method

Currently, many content creators use social media to conduct product reviews or testimonials. This often attracts followers to make purchases of the same product. Marketing of products with social media is mostly done by the industry to attract buyers. However, in-depth research is needed to analyze which social media is most appropriate to use to market their products. This study uses the TOPSIS method, which is a multi-criteria selection method that uses a positive and negative ideal solution distance approach to obtain a valid final preference value. The results showed that as many as 0.31 social media youtube, 0.24 for social media tiktok, 0.20 for social media instagram and 0.11 for social media facebook. The results of the study can be used by policy makers to decide the selection of the right social media for marketing their products
REPORT MANAGEMENT SYSTEM OF EARLY WARNING ALERT AND RESPONSE SYSTEM PROGRAM EVALUATION, TANAH BUMBU DISTRICT

Background: The threat of outbreaks of infectious diseases is getting significant attention worldwide, and WHO requires all countries to increase early awareness and respond quickly. Indonesia has built a system called the Early Warning Alert and Response System (EWARS) which may detect any threat of an indication of an infectious disease outbreak computerized reported weekly. Purpose: This study aims to evaluate to systematically assess the data management and reporting system for implementing the EWARS. Methods: The evaluation research conducted interviews with EWARS officers at all levels of the Health Office in Tanah Bumbu District in September-November 2020. This study evaluated the implementation of EWARS, which was variable was a verification of reporting data and a management system with descriptive analysis using a spreadsheet instrument. Results: The instrument results showed that the strengths and weaknesses of SKDR implementation data management lie in the low ability of managers to translate instructions, less active monitoring from the supervisor, and the officers have not been trained. The verification in the total cases reported were gaps in the data from the aggregate district health office, Puskesmas, to Service Delivery Points due to unverified. Reporting performance during the assessment period of the Tanah Bumbu District Health Office was abysmal due to unscheduled and incomplete. The reporting and feedback performance cannot give a clear appeal, instruction and/or warning to a more deficient unit. Conclusion: The reporting performance of EWARS officers and EWARS management was poor and improvement needed.
NACO/CONSER/SACO

Annually, the Operations Committee (OpCo) of the Program for Cooperative Cataloging (PCC) presents a two-day meeting in Washington, DC, to advise participants in the PCC programs of what they need to know to work cooperatively with all the other catalogers in the program. This year, the in-person meeting was replaced by several online sessions, but the purpose was the same. This Listen and Learn session is intended to update Atla participants in the NACO, CONSER, or SACO funnels with the information that was presented at OpCo, so that their work in the Atla funnels will adhere to the current practices in the PCC programs. The session also presents news of changes coming in programs and tools that funnel participants use.
PELATIHAN PEMBUATAN VIDEO AJAR UNTUK MENINGKATKAN KUALITAS PEMBELAJARAN DARING

This community service activity aims to train teachers of SMP Muhammadiyah 2 Karang Lewas Purwokerto, Central Java to develop teaching media (videos) so that they can maximize online learning. Application for editing videos using Kinemaster with a laptop or mobile phone. The choice of Kinemaster because it is light and does not burden the cellphone or laptop, easy to install and easy to use online. The methods used are (1) introduction to Kinemaster, (2) how to download the Kinemaster application, and (3) simulation of using the Kinemaster application to edit videos. The material begins with an explanation of the differences between the Distance Learning RPP and the Covid 19 Emergency Curriculum RPP or one sheet RPP. The introduction of this information is expected to be able to motivate teachers to be more creative in designing online learning.
Retraction: Secured Cloud Based Health Care Framework with Blockchain (J. Phys.: Conf. Ser. 1916 012207)

This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation. IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process. IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further. [1] Cabanac G, Labbé C and Magazinov A 2021 arXiv: 2107.06751v1 Retraction published: 23 February 2022