Reviewerly/exHarmony huggingface dataset:
An image enhancement algorithm for turbid underwater image based on multiple methods

Underwater resource development is more and more important, but some underwater operations, such as scientific exploration and construction work depending on underwater observation, are with visual difficulties because of the turbid water. To improve underwater visual quality, we propose a comprehensive image enhancement algorithm in this paper, which consists of four sections. The first section is Bilateral Filter used to reduce image noise, then the image is dehazed based on Dark Channel Prior (DCP). Thirdly, we propose one White Balance method to adjust colors in underwater images. At the end of the algorithm, Contrast Limited Adaptive Histogram Equalization (CLAHE) is adopted to improve the contrast in images. Besides, to verify this algorithm, a series of underwater image experiments are conducted on the turbid water test platform. More than 300 turbid underwater images are captured and some of them are processed through the proposed algorithm. By using Image Quality Evaluate Metrics and comparing degraded images with result images, we evaluate the algorithm in subjective and objective aspects, and conclude that the proposed algorithm can comprehensively improve the quality of images with better color, contrast and more details, which has a great significance to underwater operations.
PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS ANDROID UNTUK MENINGKATKAN PEMAHAMAN MATERI DIFERENSIAL DI SMKN 1 CISARUA

Proses pembelajaran dapat meningkatkan hasil belajar peserta didik dan mutu sekolah. Tolak ukur yang digunakan adalah prestasi belajar mengacu pada pencapaian pendidikan yang mencakup aspek kognitif, afektif dan psikomotor. Media pembelajaran adalah alat yang mampu mengefektifkan kegiatan belajar. Nyatanya masih banyak ditemukan nilai peserta didik dibawah standar keriteria kelulusan minimum. Tujuan penelitian yakni Perlu dikembangkan suatu media interaktif berbasis Android yang layak guna meningkatkan hasil belajar. Media ini membantu mengatasi kesulitan peserta didik dalam pemahaman pada: pengertian, fungsi, penamaan komponen, cara kerja serta prinsip kerja, cara perawatan dan tahapan melapas dan memasang pada materi Diferensial. Desain penelitian menggunakan lima tahapan model ADDIE prosedur penelitian menggunakan One group Pretest-Posttest design. Hasilnya nilai peserta didik rata-rata 12,80 pada Pretest, setelah treatment nilai meningkat rata-rata Posttest 83,23 dengan nilai tertinggi 96. Media ini mampu meningkatan hasil belajar (N-gain), hasil penelitian ini sesuai dengan pendapat (Arsyad, 2013) media pembelajaran dapat meningkatkan minat belajar peserta didik.The learning process can increase students' learning outcomes and quality of Schools. Achievements benchmark of learning refers to goals educational they are includes an aspects of cognitive, affective and psychomotor levels. Learning media is tools that can make an effective of learn activities. In fact there are many students who find at minimum grade below the graduation standards. It is necessary to develop an interactive Android based media for suitable use as a learning the Differential. An Android-based interactive media needs to be developed to improve learning outcomes comprehession. This media helps students to overcome difficulties in understanding: how about, function, componens named, methods and working principles, how to care and stages of 0verhaul and installing of Differential contents. The research design with using five stages to the ADDIE model of the procedure research using a group Pretest-Posttest design. The result of student's average is 12.80 at the Pretest, after treatment the value average of Posttest has increased by 83.23 with the best of value on 96 points. This media is able to increase about learning outcomes (N-gain), the results this study in accordance with opinions of (Arsyad, 2013) learning media can increase of interest students' learn. Keywords: Android, Differential, Interest in Learning, Pretest-Posttest.
03: Robotik II: Humanoide Robotik, Vorlesung, SS 2019, 13.05.2019

03 | 0:00:00 Starten0:00:05 From human body to humanoid0:01:01 Models of the human body are used in ...0:02:14 Human body model0:06:34 Master Motor Map (MMM) – Motivation 0:07:13 Master Motor Map (MMM)0:11:44 Statistic/ Anthropomorphic Model0:12:47 The Master Motor Map (MMM)0:22:50 Motion reproduction using MMM0:27:53 KIT Human Motion Database0:29:01 MMM Software and documentation0:33:27 KIT Whole-Body Human Motion Database0:35:41 Organization of Motion Data: Motion Description Tree0:40:58 KIT Motion-Language Dataset0:43:08 Exemplary Annotations0:44:12 From motion to text and back0:44:46 Motion-to-language Model0:45:31 Motion to Language – Results0:47:25 MMM Library & Tools0:48:24 References0:49:01 Mechatronics of humanoid Robots0:49:22 Kinematic model of the human shoulder-arm system0:51:29 ARMAR-4: Kinematic Model0:51:57 ARMAR-4: Hands0:52:28 ARMAR-III: Hands0:54:43 Karlsruhe Humanoid Head0:57:16 ARMAR-4: Head-Neck0:57:52 ARMAR-4: Legs1:00:01 ARMAR-4: Hip Kinematics1:00:47 ARMAR-4: Hip / Upper Leg1:00:49 ARMAR-4: Knee / Lower Leg1:02:54 ARMAR-6: Arms1:04:01 ARMAR-6: SAC Units1:05:51 Human Hand: Bones and Joints1:06:24 Karlsruhe 5-Finger Hand1:07:53 KIT Hand prothesis1:10:47 Shoulder-arm in Kojiro1:12:33 Musculoskeletal Humanoid Kenshiro
User Research for Youth Sports Division Website: Prince George’s County Department of Parks and Recreation

Final project for INST490: Integrated Capstone forInformation Science (Fall 2019). University of Maryland, College Park.
THE EFFECT OF PEER-EDITING TECHNIQUE BY USING GOOGLE DOCS TO ENHANCE STUDENTS’ ACADEMIC WRITING SKILLS AT 1ST SEMESTER OF ENGLISH DEPARTMENT FACULTY OF TEACHER TRAINING AND EDUCATION OF ISLAMIC UNIVERSITY OF SYEKH YUSUF

AbstractThe purpose of this study was to determine if the use of peer editing technique by using Google Docs is effective in teaching writing to the 1st semester of Faculty of English Department of Islam University Syekh-Yusuf and the objective was to know the achievement during teaching learning process by using this technique. This study was conducted by using true experiment with one group pre-test and post-test, include 65 students in the academic year 2019/2020. The sample of the research were 35 students, the writer used simple random sampling to determine the sample. Based on the result of this research, the average score for the pre-test was 55.69 and 71.40 for the post-test. It means that peer editing technique by using Google-Docs can increase students’ achievement in writing descriptive essay. Based on the result, the writer concludes that teaching English writing with peer editing technique by using Google Docs is effective.Keyword : Descriptive Essay, Google Docs, Peer Editing Technique, Writing Skill,
Phonetic words duration simulation using Deep Neural Networks

Deep Neural Networks (DNN) are widely used in speech prediction and speech modeling.The current paper describes the implementation of DNN for the task of duration prediction of speech units (allophones and syllables that form the structure of phonetic word, intonation phrase).It is well-known that numerous factors influence the duration of segments.However, the level of confidence of characteristics differs significantly.It was found that deep neural network that predicts allophones duration shows better results than the network that predicts the duration of syllables.
Empirical Exploration of Relationship between Work Life Balance and Employee Engagement with the Moderating Role of Ethical Leadership

Continuous growth of hospitality organization and complex working environment demanding high working hours calls management to explore the mean of how to maintain employee’s work life balance and enhance employee engagement. The aim of this research work is to explore the various work life balance practice and its impact on employee engagement and whether ethical leadership moderate the relationship between work life balance practices and employee engagement.
Generation of Arbitrarily-Oriented Ripple Images using Circular-Sector-Type Smoothing Filter and Inverse Filter

A Non-photorealistic rendering method for generating ripple images from photographic images has been proposed using intensity gradient.Ripple patterns imitate a wave on the water surface and are composed of continuous lines with fluctuations.Ripple images are expressed by superimposing ripple patterns on photographic images.However, the conventional method can only generate vertical and horizontal ripple patterns.Therefore, in this paper, we develop a method that can generate ripple patterns in any orientation.Ripple images generated by the proposed method are called Arbitrarily-Oriented Ripple (AOR) images.The proposed method is executed by an iterative process using circular-sector-type smoothing filter and inverse filter.To verify the effectiveness of our method, we investigate the changes in AOR images by changing the values of the parameters.
PERCEIVED IMPACT OF GRAMMAR COMPETENCE TOWARD THE SPEAKING ABILITY: FOCUSING ON THE ENGLISH LITERATURE STUDENTS OF UNIVERSITAS SAINS ALQUR’AN IN ACADEMIC YEAR 2017/2018

This study aims at exploring the perceived impact of grammar competence among the students of English literature. Participant observation and in-depth interview are conducted to the students of English literature in Universitas Sains Alqur’an in academic year 2017/2018. The data is then comprehensively analyzed using descriptive qualitative method. The result of this study shows that based on the students` perception, the grammar competence really influences the students’ speaking ability. Mostly the students perceived that the goodness of speaking ability depends on the grammar competence. There is only in the certain condition that the student has good speaking ability in less of grammar competence. The students also have different attitudes/ways to develop the speaking ability and grammar competence.&#x0D;
Customer Experiences, Expectations and Satisfaction Level Towards Services Provided by Amazon

Customer loyalty is considered as one of the most over used phrases in business today. For fulfilling these objectives, the descriptive research design has been used. The data from the multiple respondents have been collected. The survey involved gathering a wide information about the company, its products, customer satisfaction and the impact of various competitive firms on the company. Shoppers can easily visit the web site and shop just sitting in form of computer. Ability of the Internet contains wide range of collecting information, supplying a service or purchasing a product Amazon should work towards them so that it can increases its customers and finally profit.
Geology and Geochemistry of Ilmenite Deposits of Malumfashi Schist Belt, Northwestern Nigeria

The geology, geochemistry and the economic potential of Ilmenite occurrence insheet 79 Malumfashi NW is presented in this study. The field and petrographic studies revealed that, the area consists of largely muscovite and carbonaceous schist together with Granite as major rocks. Tourmalinites and quartzite as minor rocks. Numerous quartz veins of various sizes trending NS parallel to the foliation of the schist are present throughout representing a silicification episode. The outcrop contains quartz veins which may be the possible host of the mineralization (Ilmenite).The mineralization occurs in nodules within the quartz veins and it also comes in nuggets and in some places as a smaller fragments scattered within the quartz veins. They show lack of cleavage and have a buggy texture. Based on the major oxide geochemistry, the schist in the study area have high silica (SiO 2 ) composition of (95.49 – 97.21 wt.%).  Titanium oxide (TiO 2 ) is (73.73 – 82.71 wt. %) and Iron oxide (Fe 2 O 3 ) composition of (14.51 – 75.23 wt. %). The fact that Fe 2 O 3 and TiO 2 forms Ilmenite rather than any other mineral indicates that the hydrothermal solution is oxidizing, and related to dehydration related to prograde metamorphism of shale. Ilmenite is a primary source of titanium metal, which when combined with other metals produces durable high strength light weight alloys.  These alloys are used to manufacture a wide variety of high performance tools. A form of titanium dioxide is used to produce white high refractive pigments.
LEARNING THROUGH WATCHING FILMS

As one of the most important aspects in people’s life, education should be treated and improved well. It is so essential because education gives opportunity to have a better life. Therefore, people should think of any better ways to improve the quality of education. One of the ways is through popular culture. As a growing-trend culture, popular culture has been widely known, especially by young people. From the library research conducted, some relevant references have been gathered and the data analysis has shown that it is very acceptable to use films, a part of popular culture to teach. This teaching technique can be used to teach morality and language skills at the same time. Therefore, education institution should be able to accommodate this system in order to succeed in educating.
Adversarial Training for Privacy-Preserving Deep Learning Model Distribution

Collaboration among cancer registries is essential to develop accurate, robust, and generalizable deep learning models for automated information extraction from cancer pathology reports. Sharing data presents a serious privacy issue, especially in biomedical research and healthcare delivery domains. Distributing pretrained deep learning (DL) models has been proposed to avoid critical data sharing. However, there is growing recognition that collaboration among clinical institutes through DL model distribution exposes new security and privacy vulnerabilities. These vulnerabilities increase in natural language processing (NLP) applications, in which the dataset vocabulary with word vector representations needs to be associated with the other model parameters. In this paper, we propose a novel privacy-preserving DL model distribution across cancer registries for information extraction from cancer pathology reports with privacy and confidentiality considerations. The proposed approach exploits the adversarial training framework to distinguish private features from shared features among different datasets. It only shares registry-invariant model parameters, without sharing raw data nor registry-specific model parameters among cancer registries. Thus, it protects both the data and the trained model simultaneously. We compare our proposed approach to single-registry models, and a model trained on centrally hosted data from different cancer registries. The results show that the proposed approach significantly outperforms the single-registry models and achieves statistically indistinguishable micro and macro F1-score as compared to the centralized model.
Indigenous language and MTN Radio Yoruba Advertisement: A study of adult residents of Olorunda Community, Ibadan, Oyo State, Nigeria

The use of indigenous language by companies in providing information and cognizance to people has become a necessity. It is therefore important to understand the effectiveness of the use of indigenous language in relating with people who reside in rural communities via radio as a means of communication through advertisements. The study therefore investigated the effectiveness of indigenous language of MTN Radio Yoruba advertisement in Olorunda community in Ibadan, Oyo state. The study made use of MTN because it is a non-indigenous company and also the leading telecommunication network provider in Nigeria. The study was anchored on the message learning theory. The survey design was used as the research method, questionnaire and interview guide were used as instruments for data collection. The population of the study was MTN subscribers that reside and work in Olorunda community. A sample size of 100 adult respondents was selected. An in-depth interview was conducted with the Trade Marketing Consultant of MTN, Ibadan. Findings revealed that 85.4% of the respondents are aware of MTN radio Yoruba advertisement. Findings also revealed that many of the respondents remember the feature of the advertisements. This study, therefore, recommended among others that Continuous research and evaluation would provide an edge in building and maintaining a relationship as organisations would be fully equipped with the community’s information and know how to relate with them. This way they would be part of the development of indigenous communities and would be fully aware of the evolvement of the people and the community as a whole.Keywords: Indigenous language, advertisement, MTN, Radio
Design Information System of Professional Zakat Payment (Answering Transparency Calculation and Distribution of Professional Zakat at LAZ IAIN Palopo)

The design of this information system aims to help facilitate the management of LAZ IAIN Palopo in providing information on the calculation and payment of professi zakat, infaq and sedaqah to all ranks of employees of IAIN Palopo, besides that this system is also expected to minimize errors in the collection and distribution of professional zakat, infaq and sedeqah managed by LAZ IAIN Palopo as well as assisting policy makers within the scope of IAIN Palopo in monitoring LAZ performance, this is motivated by complaints from some employees who do not yet know exactly how much of their salary deducted is for zakat profession. This application is designed using the PHP programming language and HTML for the admin page, while the mobile application uses a web application (web view) created using Android Studio. The data used is the data of IAIN Palopo employees and their salary / allowances to be inputted in this information system so as to produce output in the form of collection and distribution reports of zakat / infaq / sadaqah that are transparent and accountable and can be accessed by every member / employee of IAIN Palopo at any time via handphone.
Theoretical Basis of Development of General and Pedagogical Culture of Future Officers: Principles and Methods of Working with Personal

ORCID iD
Research on the Adjustable Magnification of Vision Measurement Module Integrated in Precision Assembly System

To satisfy the demand of multi-scale measurement of miniature parts, a vision measurement module with zoom lenses was set up for evaluation and final integration in precision assembly system. A new template with circular patterns of different diameters was designed for calibration of zoom-lens camera. The principal point was determined based on the focus-of-expansion method, and the orientational deviation of image was experimentally studied in the zoom process. Pixel equivalent was calculated by circular patterns of different diameters and its repeatability was tested during the zoom process. Experimental results indicated that the principal point offset is less than 0.6pixel, and the measurement error caused by orientational deviation of image is negligible for most of the assembly tasks. Due to the good repeatability of pixel equivalent, off-line calibration data can be used in the actual measurement process. When the much higher accuracy was required during assembly, the online calibration could be employed.
Inovasi pengelolaan pembelajaran PAI di era disrupsi

The development of information and communication technology forces us to prepare ourselves for an innovation in facing changes in the disruption era. Globalization and disruption are terms that contain conditions as an effect of the development of science and technology. Along with this changes , finally having an impact where everyone must be able to innovate in order to show their expertise and self-skills to  survive in the era of disruption. Each time successive television advertisment offers online products in all lines of life including in the field of current education. Ads teacher's room always appears at any time to learn independently through the application. Seeing this reality, the management of PAI learning cannot be silent, but must innovate. The use of technology in learning of PAI in the disruption era is the solution. Researchers will use this library research method to present innovations in the management of PAI learning in the era of disruption as an effort to block the onslaught of technology.
Why are the rocks under New Jersey so special?

The Franklin–Sterling Hill area of New Jersey is home to a prized mineral deposit that has fascinated geochemists and collectors for decades—not least because many of the minerals are vibrantly fluorescent. In this episode of Speaking of Chemistry, Kerri Jansen visits the Sterling Hill Mining Museum and the National Gem and Mineral Collection to learn why New Jersey’s rocks are so special and what scientists hope to learn from the variety of minerals in the collection, fluorescent or not. Watch the video at cenm.ag/sterlinghill.
04: Automotive Vision / Fahrzeugsehen, Vorlesung, SS 2019, 20.05.2019

04 | 0:00:00 Start0:00:05 LoG and image scaling can be exchanged0:04:23 Solution: select two different σ0:06:31 how can we find a suitable σ?0:12:44 example 1D-image0:19:49 pyramid representation0:23:26 Featured Points in SIFT0:25:44 Corners and Edges 0:27:34 Distinction of Corners and Edges 0:34:35 Featured Point Descriptors0:36:42 1. idea: (normalized) gray value in local environment0:39:26 2. Idea: Gray value gradients in local environment0:51:44 Rotational Invariance 0:55:53 SIFT Example1:01:19 Alternatives to SIFT1:07:06 Summary1:10:11 Chapter 4: Optical Flow and Image Based Tracking1:16:13 expected flow on the roadway1:27:26 motion constraint equation
Pfeiffer Library: Cyber Security: Organizations

Resources in the field of Cyber Security Provides links to professional organizations in the field.
Confidence Map Based 3D Cost Aggregation with Multiple Minimum Spanning Trees for Stereo Matching

Stereo matching is a challenging problem due to the mismatches caused by difficult environment conditions. In this paper, we propose an enhanced version of our previous work, denoted as 3DMST-CM, to handle challenging cases and obtain a high-accuracy disparity map based on the ambiguity of image pixels. We develop a module of distinctiveness analysis to classify pixels into distinctive and ambiguous pixels. Then distinctive pixels are utilized as anchor pixels to help match ambiguous pixels accurately. The experimental results demonstrate the effectiveness of our method and reach state-of-the-art on the Middlebury 3.0 benchmark.
SIMPLEX: An Activation Function with Improved Loss Function Results in Validation

An activation function is a mathematical function used for squashing purposes in artificial neural networks, whose domain and the range are two important most features to judge its potency. Overfitting of a neural network, is an issue that has gained considerable importance. This is a consequence of a function developing some complex relationship during the training phase and then these do not show up during the testing phase due to which these relationships aren’t actually relations, but are merely a consequence of sampling noise that arises during the training phase and is absent during testing phase. This creates a significant gap in accuracy which if minimized could result in better results in terms of overall performance of an ANN (Artificial Neural Network). The activation function proposed in this work is called SIMPLEX. Over a set of experiments, it was observed, to have the least overfitting issue among the rest of the analyzed activation functions over the MNIST dataset, selected as the experimental problem.