Reviewerly/exHarmony huggingface dataset:
Scalable Eye Tracking for Mobile Devices

Eye tracking provides an effective solution to users’ attention, interest, and engagement. While gaze estimation based on a standard camera can be versatile, it remains challenging to achieve an accurate, robust, and scalable solution on mobile devices. In this talk, I will describe three studies that aim to address these challenges. Specifically, 1) we found that screen reflection on user's cornea can be leveraged for gaze estimation and it considerably improves the practicability of indoor eye tracking. 2) We exploited gaze-hand coordination and applied interaction data for implicit calibration when a user naturally interacts with the computer. This can prevent users from tedious and intrusive calibration in practice. 3) We also proposed to train a multi-device person-specific gaze estimator to accelerate implicit calibration. It adapts the data from different personal devices to learn the shared mapping from user appearance into eye gaze. Taken together, these studies identify indicative eye gaze features, alleviate user calibration effort, and thus pave the way for scalable eye tracking in daily use.
ANALISIS PARTISIPASI MASYARAKAT DALAM PELATIHAN SISTEM KETAHANAN KEBAKARAN LINGKUNGAN PADA KANTOR PENANGGULANGAN KEBAKARAN DAN PENYELAMATAN SEKTOR JOHAR BARU JAKARTA PUSAT

This study aims to find out the implementation of community participation in the training of environmental fire resistance system in the fire prevention and rescue office of the new johar sector of Central Jakarta. In order for community participation in the training of environmental fire resistance system to run properly requires awareness and awareness of the community to participate in the success of the program. The research method used qualitative descriptive and data collecting technique by interview, observation, literature study and documentation in collecting data which will be the material in this research writing and the researcher took the location at the fire management and rescue office of Johar Baru Sector, Central Jakarta. The result of the research shows that the community's participation has been done well and done, proved by the community members who participated in the training of environmental fire protection system in the area of fire and rescue office of Johar Baru Sector of Central Jakarta. And also the training is carried out in the kelurahan-kelurahan in new Johar district, but in the process of establishment there are still obstacles and obstacles such as lack of communication or socialization to the citizens and the difficulty of community members to participate in SKKL training and the solution is needed a persuasive and conducive approach, focus on improving the capacity of communities who volunteer to participate in SKKL training to participate rather than just achieving certain predetermined goals
On the Importance of Representations for Speech-Driven Gesture Generation

This paper presents a novel framework for automatic speech-driven gesture generation applicable to human-agent interaction, including both virtual agents and robots. Specifically, we extend recent deep-learning-based, data-driven methods for speech-driven gesture generation by incorporating representation learning. Our model takes speech features as input and produces gestures in the form of sequences of 3D joint coordinates representing motion as output. The results of objective and subjective evaluations confirm the benefits of the representation learning.
Pengembangan Media Pembelajaran Peta Timbul MateriBentuk Muka Bumi Di Daratan Sebagai Dasar PengetahuanKebencanaan Pada Anak Kelas VII Smp Alfirdaus Sukoharjo

The aims of this research is to know: (1) the criteria for teaching materials that willbe developed in the emerging learning media map, (2) the map development model oflearning media arises, and (3) the effectiveness of map learning media arisesmaterial form of the face of the earth on land. This type of research is research anddevelopment (R & D) which adopted the design model of Borg and Gall. Theresearch design used Control Group Design Post-Test Pre-Test with class VIIrespondents group 2 as the control class and class VII respondents group 1 as theexperimental class of Al Firdaus Sukoharjo Middle School. The data analysistechnique used is the T-test. The process of developing a map media has arisenthrough product improvement carried out by material experts and media experts withan average value of 4.55 which means it is in the category of GOOD. The resultsof the T test (t-test) at the pretest and posttest both in the control class or in theexperimental class showed significant results, namely H0 was rejected and H1 wasaccepted. Clarifying the effectiveness of the media, researchers compared thelearning outcomes which showed an average increase in learning outcomes in thecontrol class 49.07% and the experimental class 64.52%. This means that the increase in experimental class learning outcomes is 15.45% higher than the controlclass. The results of the final product assessment by research respondents have anaverage value of 4.22 which belongs to the category GOOD. In conclusion, arisingmap learning media developed have been effective and can improve student learningoutcomes.Keyword: Development, learning media, maps arise, the shape of the face of theearth on land
Customer-driven cost-performance comparison of a real-world distributed system

Many modern web applications run on distributed cloud systems, which allows them toscale their resources to match performance requirements. Scaling of resources at industryscales, however, is a financially-expensive operation, and therefore one that shouldinvolve a business justification rooted in customer quality-of-service metrics over morecommonly-used utilization metrics. Additionally, changing the resources available to such a system is non-instantaneous, and thus a reasonable effort should be made to predict system performance at varying resource allocations and at various expected workloads.Common performance monitoring solutions look at general metrics such as CPU utilization or available memory. These metrics are at best an indirect means of evaluatingcustomer experience, and at worst may provide no information as to whether users of acommercial application are satisfied with the product they have paid for. Instead, the useof application-specific metrics that accurately reflect the experience of system users,combined with research into how these metrics are affected by various tunable parameters, allows a company to make accurate decisions as to the desired performanceperceived by their users versus the costs associated with providing that level of performance.This thesis uses a real-world software-as-a-service product as a case study in thedevelopment of quality-of-service metrics and the use of those metrics to determinebusiness cases and costing packages for customers. The product used for this work isPhoenix, a state-of-the-art social media aggregation and analytics software-as-a-serviceweb platform developed by Echosec Systems, Ltd. The product will be tested under realworld conditions on cloud hardware with a minimal test harness to ensure a realisticdepiction of live production conditions.
LibGuides: Virtual and Augmented Reality: Programs and Apps

Learn about Virtual and Augmented Reality, and services available at the Nexus Collaborative Learning Lab!
Innovation of English Writing Teaching Model Based on Network

The mastery of students’ basic English language communication ability is one of the important goals of English teaching in higher vocational colleges. The writing ability is the basic content of English language communication ability and an important indicator to evaluate students’ language communication ability. At present, the teaching of English writing in higher vocational schools in China shows the problems such as the lack of participation interest of students, the low performance of teaching, and the difficulty in improving students’ writing ability. In the information age environment, it is necessary to make adjustments in vocational English writing teaching, organically integrate traditional classroom teaching with the advantages of network information technology, and we need to seek innovative development of teaching mode.
Crossing. Crossed-Channel Singularities

From perturbative QFT it is clear that a generic quantum filed $$\phi _i(x)$$ contains both the annihilation operators of a type of particles and the creation operators of the corresponding antiparticles [4].
Analysis of the efficacy of the use of subject face color analysis to detect fake videos (Conference Presentation)

Videos called ‘deep fakes’ are created by an algorithm, based on deep learning techniques, that matches one individual’s (the target) facial patterns to another’s (the source). These videos are compelling. In many cases they are visually indistinguishable from real recordings. Being able to identify fake videos is critical to refuting the misinformation that they may be used to promulgate. While some approaches have been proposed, they are largely based on exploiting temporary gaps in the video production algorithm (such as not introducing significant blinking) that may be fixed in the future. This paper proposes a prospective systematic way of evaluating the veracity of possible deep fake videos. The proposed approach is based on assessing the color patterns and variations of the target’s face. Videos produced by the construction algorithm are compared to a similar actual recording. Also, videos made using the construction algorithm based on using multiple sources are compared to each other and to the actual recording of the target and key differences between the different videos are discussed. The paper then proceeds to analyze whether the identified differences and patterns are suitable for differentiating fake videos from actual recordings, across multiple application areas. The paper concludes with a discussion of the impact of so-called ‘deep fakes’ technology on public trust in video recordings and the media. The impact of a technique, like the proposed, on multiple application areas is discussed. Its efficacy for multiple critical applications is considered and topics for next steps are discussed.
InfoGuides: Classes and Tutorials: Home

Classes and Tutorials offered by the KCU Libraries to help students, staff, and faculty with conducting research, using library resources, and more.
INTERFERENSI BAHASA SUNDA DALAM PEMAKAIAN BAHASA INDONESIA SAAT BERKOMUNIKASI PADA SISWA MTS

Students MTs most of the students are native residents and people of Sunda ancestry who have the ability to use more thanone language. Due to having the ability of two languages to occur an interference, is the abuse of language influenced by first language. According to research results exist when students Mts communicate Bahasa Indonesia with friends, often inserting Sundanese language vocabulary. They have no interference events. Interference is the entry of absorption elements into a second language that violates the Grammatical rules. Sundanese people who are classified as having bilingual character at the time of communication / interaction often occur irregularities when using the language. Interference is considered an error because it deviates from the rules of the rules used. The cause of the interference event is the ability of a speaker while spelling the language so that the language is influenced by other languages. Interference can occur when someone uses another language and who interferes into a second language.
Keywords Everywhere Tutorial: How to Use This Tool Like a Pro

If you use Chrome or Firefox, you can use Keywords Everywhere to consolidate precious keyword research metrics into one interface. It pulls in data such as the keyword’s monthly search volume, the average cost per click, and competitiveness on sites like: Google Amazon YouTube Etsy eBay And even more impressively, Keywords Everywhere can also augment the data in other keyword research tools. Got your attention? Without further ado, here's a complete Keywords Everywhere tutorial for those who intend to use it.
Application of geographic information system for analysis potency of agricultural equipment and machinery in Central Lampung.

The application of agricultural equipment and machinery is one of the efforts to realize food sovereignty inIndonesia, agricultural equipment and machinery is considered able to increase agricultural production from byaccelerating farmers work to reducing crop losses during harvest and post harvest, the process of analyzing theapplication of agricultural equipment and machinery is needed to know the potential of the region and thepotential number of machines that can be applied and added. this research used object of research is CentralLampung Regency and 3 (three) types of agricultural equipment and machinery that were Hand Tractor, RiceTransplanter, and Combine Harvester By using ARCGIS 10.3. The method used was overlay and scoring withspatial data including slope, soil texture, and rainfall. The result of research showed that majority of rice field inCentral Lampung categorized as Potential Area II (Two) comprised of 92.76%. and another is Potential Area I(one) there is 7.24%, and Potential Area III (three) none or 0% . For the most of applications is Rice Transplanteris 22,321 units with the potential of adding 22,171 units. Hand Tractor has the potential of apply is 10,147 unitswith the potential of adding 4,369 units. Combine Harvester has the potential of apply is 3,190 units with thepotential of adding 3,155 units.
Evaluation of the malignancy risk in benign breast disease using screening mammography

Background: Breast cancer is the most common female cancer worldwide representing nearly 25% of the population. The study was designed to find the correlation between mammographic screening and histopathology in the diagnosis of malignancy among patients breast disease.Methods: This analytical study was done on 163 patients who came to the General Surgery Out-Patient Department, VMMC, Karaikal were screened. From this, 125 patients who were clinically diagnosed with benign breast disease were further evaluated with mammography. A detailed history, clinical examination, and investigations including mammography, histopathological examination in the operated specimen were done.Results: In the study 10% lump in the central area, 20% in lower inner quadrant, 12% in lower outer quadrant, 22% in upper inner quadrant and 36% in upper outer quadrant. In the study, all the 100 subjects were diagnosed to have a benign lesion in mammogram, in hpe 87% were diagnosed to have benign lesion and 13% were diagnosed to have malignant lesions.Conclusions: Even though BI-RADS 2 and 3 mammography showed the majority of benign lesions, there is an increasing trend of malignancy in higher BI-RADS criteria, on further histopathological examination. Sensitivity, positive predictive value, and diagnostic accuracy are very high for mammographic screening.
Pemahaman Siswa Terhadap Bahan Ajar Muatan Lokal Upacara Tabot Bengkulu di Kelas V SDN 52 Kota Bengkulu

This study aims to determine the ability of students to understand the teaching materials Local Content of Tabot Bengkulu ceremony in class V State Elementary School 52 Kota Bengkulu on 3 aspects of learning outcomes, namely academic skills (cognitive), attitude (affective), and psychomotor skills. The method used in this research is quantitative descriptive method with percentage technique. The sample in this research is the students of VB SDN 52 Bengkulu in the academic year 2016/2017 which is 25 students. The sample was determined by cluter random sampling technique in the population. The research instrument uses a test sheet. Data analysis technique is done by using learning result test that is adjusted to the value of KKM (Criteria Completed Minimum) subject of Local Content applicable in SDN 52 Kota Bengkulu, that is equal to 67. The result showed that the students of VB SDN 52 Kota Bengkulu have not been able to understand the material Ajar Local Content Tabot Bengkulu ceremony with an average of 73.33% and when viewed from the completeness of learning, students VB SDN 52 Bengkulu City has not been completed because based on the benchmark reference assessment students declared complete if the value is greater or equal to 67 as much as 75- 80 %.
Introduction to the Special Section on Signal Processing

Object tracking is highly applicable in emerging technologies and is normally done using measurements from sensors. Unfortunately, due to the presence of deleterious noise, measurements are inaccurate and different estimation methods have been developed. Most of them are mainly for Gaussian noise, leaving non-Gaussian noise scenarios unresolved. Also, while particle filters were introduced to address a more general noise scenario, they are mathematically complex especially when used in high dimensional systems. To circumvent these problems, we propose the Separate Monte Carlo Mean (SMC-MEAN) which is formulated on the Bayesian particle filtering framework. The proposed method is applied to an autonomous object tracking problem in both Gaussian and non-Gaussian scenarios. Results are compared to the Kalman filter and Maximum A Posteriori (MAP) in Exponential and Logistic distributed noise. The proposed method outperforms the other methods by an average of 17% yet maintaining low mathematical complexity.
Management Multivariate Analysis Methods for Variables Measurement in Scientific Papers

The management of writing a scientific papers we already know has important chapters in the writing. And have a way of choosing in a variety of methods. There are problems in this study, namely the absence of the use of research methods in scientific-rich management. Then one of them is needed by multivariate data analysis management to become one of the methods in writing scientific papers. Multivariate data is data collected from two or more observations by measuring these observations with several characteristics. There are 2 (two) methods in multivariate data, namely dependency and interdependence methods. Dependency analysis functions to explain or predict dependent variables by using two or more independent variables. Focused on the dependency method there are 9 (nine) classifications. It is expected that the multivariate data analysis management can help writers to use scientific research methods well and be able to analyze the influence of several variables on other variables at the same time
The Role of Accounting Knowledge in Supply Chain Risks Mitigation and Efficiency Improvement

Risk has penetrated in every aspect of life; no one can escape from it. It can disrupt not only the organization but whole system. It has become essential to mitigate the risks from each and every part of the system. Financial risks are considered more dangerous for the organization. This research aims to highlight the most important accounting knowledge that is forming the key of the auditing process, and how the auditors can modernize this knowledge. In order to access these objectives, the researcher conducted a telephone survey with 64 Jordanian auditors. The main results of this research revealed that; accounting knowledge is very important for the auditing process because it helps the auditor to discover any fraud in the financial transactions and statements, therefore modernizing the accounting knowledge becomes from the priorities of attention of the auditor and disclosure of financial statements that reflect validity and credibility increases stakeholder's satisfaction. According to these results, the researcher recommends that training courses that allow them to exchange their experiences, auditors should focus on manipulation through accruals and allowances and auditors should discuss their observations with the internal audit committee in the company. This study is conducted to only limit industry with few interviews only, to generalize the findings of this study, it is recommended to conduct the quantitative research with more respondents.
A Study on the Improvement of Academic Self-Efficacy, Learning Participation and Learning Motivation of Foreign Students through Writing a Learning Reflective Journal

This study aims to improve foreign students’ academic self-efficacy, learning participation and learning motivation by writing a learning reflective journal. It consisted of three parts: contents learning, language learning, and learning attitude. Then, the students
EP-1675 Club100 (student organization of DEGRO e.V.) – Current activities and future perspectives

Purpose or ObjectiveThe Club 100 is an integral part of the German society of radiation oncology (DEGRO e.V.).The main goal of this subgroup is to actively support medical students as well as
THE USE OF VOCABULARY SELF-COLLECTION STRATEGY TO IMPROVE STUDENTS’ VOCABULARY MASTERY

Abstract Generally, problems faced by the students in learning english is the difficulty to learn vocabulary. Any learners or teachers aware that vocabulary is the important element of language proficiency. The practical problem was faced by the 8th grade students of SMP PLUS YPP DARUSSURUR CIMAHI. Based on facts, the Vocabulary Self Collection Strategy (VSS) is a creative teaching and learning strategy to improve students’ vocabulary mastery. VSS is an interractive learning method where students choose words from a text, use contexts and other resources to find out the meaning of the words, and give those words to be learned by others students. The research design of the research was Classroom Action Research (CAR). The results of the study indicate that VSS could improve learning in a class based on a qualitative or quantitative perspective. Based on the results of the qualitative, it could be seen from the classroom situation, the atmosphere of teaching and learning, students participation, and students responses during teaching and learning activities. Meanwhile, quantitative results could be examined from the scores of students in doing the exercises. Thus this research stated that VSS was an effective technique for solving students' practical problems in mastering vocabulary.Keywords : Improve, Vocabulary mastery, VSS, CAR
10 Essential WordPress Plugins: Important MUST Haves for Blogs

WordPress plugins are the core components to add excellent functionalities to your WordPress blog. But the problem is when you are new to starting a WordPress blog, you may find it challenging to choose the most essential WordPress plugins from the huge selection available. That's why I have made this list of what I think are the essential WordPress plugins you need in order to add the basic features and functionalities that your blog needs.