Reviewerly/exHarmony huggingface dataset:
Hydraulic Analysis of The Upper Segment of Cileungsi River, Bogor District Using Hecras 5.0.7 Program

Regional Flow of the River Cileungsi has extensive DAS 266 , 15 km2 and a length of 39.11 km, crossing the district of Bogor and Bekasi. Downstream of the Cileungsi River is the Bekasi Hulu River which is the confluence of the Cileungsi River and Cikeas River . With the condition of land-use land DAS Cileungsi the first form forests changed into land estates and settlements led to discharge runoff were high and result in the occurrence of flooding in the summer rain . Flood prevention efforts are planned by making a dam . Analysis profiles flow conducted by using software HEC-RAS 5.0.7, Planning control flooding river Cileungsi using debit flood plan Q25th which amounted to 1271.45 m3 / sec and Q50th which amounted to 1376.99 m3 / sec. In the results of simulation of unsteady flow with HEC-RAS can be concluded that the control of flooding with the manufacture of a dam on the upstream river Cileungsi , already managed to overcome the flow of water excess in the upper reaches of the river
PENGOPERASIAN DAN PERAWATAN MESIN DIESEL PENGGERAK GENERATOR DI KAPAL MT. MAIDENPT. MULTI JAYA SAMUDRA

The diesel engine is used as the ultimate driving machine on board. The existence of a diesel engine on board is important, where the diesel engine in the operation aimed at the smooth operation of the cruise. This paper aims to determine: 1) how to operate a diesel engine driving the generator; 2) how to care of a diesel engine driving the generator.Source of data used in the form of primary data obtained from direct observation in the MT. MAIDEN on Multi Jaya Ocean Shipping Company and secondary data obtained from various sources as a complement to primary data. The data collection is done by observation, discussion, and literature.Operation and maintenance of diesel engine driving the generator includes: 1) preparation of the operation of the generator; 2) running the generator; 3) checks when the generator operates; 4) turn off the generator; 5) generator maintenance. It is advisable to perform maintenance on diesel engine generator regularly, according to the manual book and the work.Key word : Generator, operation, maintenance
Orpheus: A Voice-Controlled Game to Train Pitch Matching

Pitch matching is one of the most basic musical skills, but is hard to stick to because of its monotony. To solve this problem, Orpheus, a serious game based on Greek mythology for training pitch matching is proposed. The player needs to act as Orpheus, the main character of the story who is known as “the father of songs”, to use his great power of music to experience the famous love story with Eurydice. The player needs to control Orpheus by singing specific pitches to change his position and action so that Orpheus can complete the tasks and drive the plots. A game prototype was developed with Unity, and a pilot case study was conducted to measure the game experience and assess the game effectiveness. Results showed that players considered Orpheus as challenging but engaging, and they thought Orpheus was better in training pitch matching than the traditional method. In conclusion, Orpheus provides a new training method for pitch matching that is both engaging and effective.
Voting Classification Method for the Microarray Cancer Detection

Bioinformatics is a science that is useful to store, fetch, arrange, interpret and employ the information attained from biological series and molecules. The detection of cancer in early stage has become a crucial problem in recent times. With the rapid growth, the risk of death caused by cancer is rising exponentially. Prediction can be termed as a statement related to the future event in accordance with the present situation. Nowadays, Breast cancer is emerging as the major cause of death in women all around the world. An accurate and interpretable method is needed for diagnosing women with the breast cancer for an effective treatment. Due to rapid growth in medical research, many of ensemble methods have been widely applied to diagnose breast cancer, such as Random forest. However, the drawback of this method is that they are unable to explain the reasons behind the diagnosis hence they are called black-box method. The major intend of this work is to predict the microarray cancer using machine learning (ML) algorithms. The parameters to measure the performance of the algorithm are accuracy, precision, negative predictive value, sensitivity, FNR (false-negative rate), FPR (false-positive rate). Different phases are comprised in the prediction of microarray cancer. This research makes the implementation of voting-based classification algorithm. The suggested algorithm assists in optimizing the performance up to 2% while predicting the microarray cancer.
Creative Safety Sdn Bhd. Fire Extinguishing Round Blueprint / Muhammad Hazim Abdul Rahman

Fire hazard had caused a lot of damage in the past, and due to the unpredictable nature of fire accidents, it would likely still cause damages in the future. The conventional fire extinguisher had been around for many years and is a great tool to help deal with starting fires and small fires to prevent it from growing larger. However, the design of a conventional fire extinguisher is not ergonomic, removing ease of control of the device. It is also heavy which might make some users struggle to use it. The large quantity of powder in the device also leads to a higher amount of waste as a fire is unlikely to occur a lot during the lifespan of the fire extinguishing powder. To overcome the problems mentioned, a new product called the Fire Extinguishing Rounds for a flare gun is introduced. The product is lightweight, portable, ergonomic, and easy to use. The product may be kept anywhere to give a better accessibility to the device whenever needed. The product uses the mechanics of a flare gun and its round to launch a projectile that would disperse fire extinguishing powder onto an area. The simple mechanics of a flare gun would ensure the product’s reliability upon usage, as it does not get jammed upon firing, which proves to be vital in a firefighting situation. The fire extinguishing rounds shares similar mechanics to a regular flare rounds, but the projectile is design to put out flames instead of igniting it.
Klasterisasi Tingkat Kehadiran Dosen Menggunakan Algoritma K-Means Clustering

Non-Civil Servant Lecturers of Batusangkar State Islamic Institute (IAIN) are still manual in recording the presence of non-civil servant lecturers. This study aims to use an application to record the number of meetings conducted during the teaching and learning process by non civil servant lecturers who are able to study courses. The meeting data will be an assessment of the performance of non civil servant lecturers. Higher education quality assurance institutions can classify non-civil servant lecturer meeting data using Knowledge Discovery in Database (KDD). The next stage is to do data mining with the K-Means Clustering Algorithm. The results of this study grouping lecturers into 3 groups: 72 subjects taught by non-civil servant lecturers in the group rarely meet (4,7650%), 69 courses that are taught by non-civil servant lecturers in the group are in meetings (4,5665%), and 1370 subjects taught by lecturers non civil servants in the diligent group meeting (90.6684%). Based on the results of the study it was concluded that the academic year 2017/2018 odd semester and even non-civil servant lecturers supporting certain subjects diligently entered at each meeting with attendance rates of 12-16 times meetings per semester.
Developing the Ability (of 3rd-Year School Children) to Retell a Work of Art when Creating Cartoons

The article deals with the problem of developing the ability of third-graders to retell a work of art in the process of creating a cartoon. The authors turn to the research of Russian scientists devoted to retelling as an interpretation of a literary text, reveal the concept, meaning, classification and stages of the retelling. The possibilities of the method of creating a cartoon in the development of children’s ability to retell a work of art are determined. This is possible under specially created conditions: compliance with all stages of work on a work of art, the inclusion of third-graders in joint creative activities to create a series of illustrations for the episodes of the work, conducting a clear and understandable instruction in the computer program for creating a cartoon from a series of illustrations, compliance with the stages of creating a cartoon based on the read work. The authors developed and experimentally tested a series of classes aimed at developing the ability to retell a work of art. Quantitative data on the evaluation of their effectiveness using a specially developed diagnostic technique are presented. The effectiveness of the tested classes in the development of the ability to retell a work of art through the creation of a cartoon is empirically proven. This article will be useful for primary school teachers.
An improvement of a key exchange protocol relying on polynomial maps

Akiyama et al. [A key exchange protocol relying on polynomial maps, Int. J. Math. Ind. 11 (2019) 195003] proposed a post-quantum key exchange protocol that is based on the hardness of solving a system of multivariate nonlinear polynomial equations but has a design strategy different from ordinary multivariate cryptography. Their protocol has two versions, an original one and a modified one, where the modified one has a trade-off that its security is strengthened while it has nonzero error probability in establishing a common key. In fact, the evaluation in their paper suggests that the probability of failing to establish a common key by the modified protocol with the proposed parameter set is impractically high. In this paper, we improve the success probability of Akiyama et al.’s modified key exchange protocol significantly while keeping the security, by restricting each component of the correct common key from the whole of the coefficient field to its small subset. We give theoretical and experimental evaluations showing that our proposed parameter set for our protocol is expected to achieve both failure probability [Formula: see text] and 128-bit security level.
Eduscrum and Innovation Culture for Cooperative Learning in University Students in the Universidad Nacional De Educación (National Education University)

The significant influence of EduScrum as a project at the Universidad Nacional de Educacion (National University of Education), developing a culture of innovation in understandable terms and the multiple elements of socialized individual knowledge, translates into quasi-experimental research of information transfer in the classroom as a cooperative teaching-learning resource. An experimental group of 38 students of the first cycle of electronic was studied in comparison with 40 students of telecommunication of the control group, based on the Rao and Weintraub model; stratified in six stages: resources, processes, values, behaviors, and climate. The Gowin V, and Marzano and Kendall taxonomies measured student skills as an influence of knowledge and process levels. Categorical variables were analyzed by Mann-Whitney statistical methods, Spearman correlation, and about a thousand Monte Carlo simulations. The dimensions: the results and values will improve the cooperative learning of the students in a probability of 0.769 and 0.615 respectively, while the resource factor will be optimized on a smaller scale of 0.442. In response to the research question: Does the use of the EduScrum method influence the development of cooperative learning in the students of the Universidad Nacional de Educacion? A linear growth trend of 0.225 was registered for the response variable in terms of correlation.
LibGuides: Criminal Justice LibGuide: Home

This guide was created by Benedict College Librarian Brian Crawley to offer basic library and web resources for those studying Criminal Justice. The LibGuide offers suggested books, database, webpages and more for beginning research in the field of Crimin
Human Identification Using Histogram of Oriented Gradients (HOG) and Non-Maximum Suppression (NMS) for ATM Video Surveillance

Today video surveillance is the scorching topic in the research field of Computer Vision. Around 400 million surveillance cameras are used in various sectors which merely act as blind and record videos for post-incident analysis. With the increase in crimes around the world, video surveillance plays a key role in identifying anomaly activities in a day to day application. One such application is a robbery in Automated Teller Machine (ATM). Identifying and tracking unlawful human activities is a challenging task in the ATM video surveillance system. Thus, an effective Human detection method using computer vision and image processing is proposed to create phenomenal results. The proposed approach, incorporate the most acclaimed Histogram of Oriented Gradient (HOG)-Support Vector Machine (SVM) with a combination of Adaptive Background Generation Model and Non-Maximum Suppression (NMS) algorithm to detect human with appropriate results in a video sequence. The experimentation result of the proposed method is applied on ATM Video Surveillance, real-time dataset. The performance analysis is evaluated by considering the average value of metrics such as the number of an input frames, ground truth elements and frames with human identified which acquired 97% of accuracy.
Do Job Performance Mediates between E-Learning Training Program and Organizational Performance: A Case of Dubai Police Force

With the passage of time world is moving towards E-Systems, either its banking, teaching, or training. The prior literature was a bit ambiguous about the effectiveness of e-learning and training programs. In the last two decades Dubai Police Force has conducted several trainings of their employees; however, no empirical evidence was available for the effectiveness of those trainings. The current study is an attempt to identify the effectiveness of e-trainings that were provided to Dubai Police Force. For the said purpose data was collected from the employees of Dubai Police force using a predetermined and well-established scale. The responses were then analyzed using Smart PLS-3. The findings revealed that e-learning training has a significant positive impact over organizational performance of Dubai Police force as well as job performance. Furthermore, job performance mediates the relationship e-learning training and organizational performance of Dubai Police force. In future the researchers are guided to add more variables as mediators or some other variable as a moderator to further explain organizational performance through human resource.
Unlock the Strings of Language-based Learning Disability with Multidisciplinary Keys

many faculties (https://www.ncld.org/ retrieved on 03-01-2019). In recent years, however, a learning disability is widely accepted as a group of disorders that affects a person's ability to link information from different parts of the brain despite having average intelligence as shown in . Historically, the growth of research to understand learning disability is divided into four periods-European foundations (1800 to 1920), US foundation , emergent period , and revision and progression period (from 1980 until recently) . The group of disorders of learning disabilities has been viewed in all these four periods from different perspectives. As a consequence, terminologies used to describe the condition are also highly varied across the countries, disciplines, cultures, and languages. Terms such as Strephosymbolalia, Strauss syndrome, Minimal Brain Dysfunction, Word blindness, Perceptual disorder, Mental retardation, Dyslexia, Dyspraxia, Dyscalculia, Dysgraphia, Auditory processing...
Online Hand Gesture Recognition and Classification for Deaf and Dumb

As sign language is used by deaf and dumb but the non-sign-language speaker cannot understand there sign language to overcome the problem we proposed this system using python. In this first we taken the some of the hand gestures are captured using the web camera. The image is pre-processed and then feature are extracted from the captured image .comparing the feature extracted image with the reference image. If matched decision is taken the displayed as a text. This helps the non-sign-language members to recognize easily by using Convolutional neural network layer (CNN) with tensor flow
HCI: Use in Cyber Security

This paper deals with the uses of HCI (Human-Computer Interaction) with Cyber Security and Information Security. Even though there have been efforts to strengthen the infrastructure of the security systems, there are many endemic problems which still exist and are a major source of vulnerabilities. The paper also aims to bridge the gap between the end-user and the technology of HCI. There have been many widespread security problems from the perspective of the security community, many of which arise due to the bad interaction between humans and systems. Developing on the Human-Computer Interaction is an important part of the security system architecture because even the most secure systems exist to serve human users and carry out human-oriented processes, and are designed and built by humans. HCI is concerned with the user interfaces and how they can be improved because most users' perceptions are based on their experience with these interfaces. There has been immense research on this field and many advances have been made in this arena of HCI. Speaking of Information Security on the other hand has been a major concern for the present world scenario where everything is done in the digital world.
Assessment of Transfer in Games and Simulations

What are the cognitive consequences of interacting with a computer-based game or simulation? In particular, do people who play games and simulations develop what can be called transferable knowledge or skills that can be applied beyond the original learning context (Pellegrino & Hilton, 2012)? These are the kinds of questions that motivate this chapter's focus on how to assess transfer in games and simulations. The chapter begins by examining key concepts in how to assess transfer in games and simulations, and then provides examples of assessment of transfer in a variety of educational games (Design-A-Plant, Profile Game, Circuit Game, Cache 17, Crystal Island, Virtual Factory, and Decimal Point), brain-training games (Tetris, Unreal Tournament, Portal, Lumosity, Cerevrum, and All-You-Can-ET), and simulations (Dr. Phyz, F-16 Aircraft, The Body VR, and Labster). The development of reliable and valid measures of transfer remains a major challenge of research on games and simulations.
Fuzzy Logic Controller to control speed with utilizing separately energized engine

A DC engine is an electrical appliance which changes direct flow electrical power into energized power. I utilize DC engines in pretty much every part of our day by day livings such as Toys, coolers, vehicle drives. Little DC engines are utilized in toys, devices and appliances. Bigger DC engines are utilized in electrical vehicles, impetus frameworks & lifts. In my dissertation, I have Ill thought-out various kinds of speed control for an independently invigorated DC engine and comprehended the significance of fluffy rationale specifically regions. I have additionally examined and perceived different ideas of Fuzzy rationale and Fuzzy sets hypothesis. I have additionally contemplated the Speed-Torque qualities designed for the independently invigorated DC engine.
Youth Leadership in Management Аctivities: Axiological Aspects

The author considers the process of activation of leadership potential, universal and branch features of formation of youth leaders. The role of external and internal factors in the construction of youth leadership environment is defined. The value aspects of the phenomenon of leadership are distinguished in the life style, subjective way of behavior, based on personal qualities, and in objective usefulness to the society, motivational principle, conditioned by the interrelation of personality and society. The author combines the social component of the axiological approach with the pedagogical one, with the educational process and believes leadership to be a condition of effective communication between the subject and the object of management.
LibGuides: Media, Fashion and Communication: Referencing and citation

This guide brings together useful resources for this subject area. You will find all the databases that hold useful articles, videos and other useful Open Access resources.
Abandoned Object Detection

In the current fast paced life, security has become an important aspect which cannot be ignored. One of the usually neglected but important division of security in public areas involves the unattended objects. Bombs and other harmful objects that are incendiary cause great harm. And in most of the cases such objects are left unattended for some time before causing harm. As such, unattended objects should be given importance and must be checked to ensure safety. This paper shows a method to identify unattended objects in public areas. This is done by comparing a fixed/initial background frame with frames after a fixed interval. If there is a change in the frames, then that refers to an attended object. No change observed, proves an unattended object which is highlighted by a box. This is done with the help of blob analysis. This paper does this with the help of MATLAB. MATLAB being a software accessible to wide range of people provides an easy process with moderate results. It uses a wide range of predefined functions and toolboxes to do this.
Blockchain Technology: A Driving Force in Smart Cities Development

Smart Cities are well planned, designed, and established keeping in mind the growing need of citizens in search of better livelihood. Technology has played a big role in equipping Smart Cities to offer better facilities to its citizens in terms of better living comfort, better atmosphere, better surrounding, better medical facilities, and most importantly ease of doing business, office, and day to day activities. While doing so, IT Infrastructure and online transactions have influenced all the operational processes of Smart Cities and almost acting as its backbone. Obviously, any adverse impact on online transactions can create chaos in Smart City operations. To address this concern, a safe and reliable online transaction is a must. In this paper, we have discussed Blockchain Technology-based solutions for Smart Cities and their potential impact on Smart Cities Development. We specifically tried to address the concern of how Smart City online operational processes for various applications can be made reliable and safe by using Blockchain Technology and how this technology can benefit Smart Cities overall development. Based on the comprehensive research and detailed literature review, we proposed Blockchain Technology based secure framework for Smart Cities. We also identified various applications and process areas that can be highly benefited by using Blockchain Technology and can make these applications smarter and more reliable and fit for use for any Smart City.