Reviewerly/exHarmony huggingface dataset:
Notification Using Telegram to Identify and Determine the Needs of Handling Packaging Dangerous Goods

Aviation requires a very high level of security and safety, so that there is no problem that can harm various parties, one of the things that must be considered is about the transportation and handling of Dangerous Goods material. Existing handling system on the flight of dangerous goods systems where outside there is still a lot of risk of handling errors until there is data inaccuracy that can harm various parties, because almost all handling done manually. In addition, the plane does not want to delay and does not want to insert dangerous goods into the plane, so to anticipate the problem conditions, built a system that performs faster, easier and accurate handling, where the system uses PHP programmer language and utilize Telegram API as media Client Server. The built tool explains how to identify packaging, calculations and documents, this tool has reliability with the ability to calculate and identify faster than the manual way with average calculations whose value is significantly different. The values obtained by manually counting which is about 175 Minutes 8 Second or equivalent to 2 Hours 55 Minutes 8 Second and counting with the system about 94 Minutes 44 Seconds or equivalent to 1 Hour 34 Minutes 44 Seconds, then more than 46% the results are different.
From Advantage Perspective Exploring Collaborative Development Between Smart Classrooms and Traditional Classrooms

The rise of the future classroom is accompanied by many obstacles, including limited funds, technical and theoretical immaturity.In order to better carry out the construction of educational informatization, this paper uses big data analysis methods to rank the importance of each link and equipment in teaching activities, namely the perspective advantages.Then we propose a new model, which focuses on the advantage perspective input and construction, trying to construct the cooperative development of future classrooms and traditional classrooms on the basis of existing classrooms and maximizes the role of the perspective of superiority, so as to improve the quality of teaching, and discusses this new model in this paper.The feasibility and necessity of the idea.
Pengembangan dan Pelatihan Perpajakan Games Edukasi Perpajakan Untuk Meningkatkan Kesadaran Pajak Early Tax Payer

The education and socialization of taxation provided early on is a government investment that benefits can be felt in the future. Based on this background, we developed a 3-dimensional tax education game that is used to provide additional knowledge and understanding to elementary school-level children on the importance of taxes so that they can ultimately raise awareness to pay taxes in the future. The method used is to hold discussions with partners, develop 3D educational games applications, carry out training on tax education games, and evaluate the results of training implementation. The training activities were carried out in 3 (three) Elementary Schools namely SD Negeri Experiment 1 Malang SD Negeri Rampal 1 Celaket Malang, and SD Negeri Model Malang. The results of the training showed that tax education games are effective in increasing tax knowledge and awareness. This can be seen from the increase in the quality of understanding related to taxation based on the Pre Test of 79.05% and increased after Post Test to be 86, 62%.
PEMANFAATAN APLIKASI VIRTUAL LEARNING BERBASIS ANDROID DALAM MENINGKATKAN KUALITAS PEMBELAJARAN

The development of science and technology is currently developing so rapidly, the number of the latest innovations in all areas, including education. The development of media-based learning, information and communication technologies such as e-learning or virtual learning which are capable of improving the quality of interactive learning because users are friendly, useful interface features are used quite comfortable for the user so that the user does not get bored, moreover technologies be accessible anywhere and anytime a user is currently learning system, which is still the conventional good already assessed where all the references in the form of books, student worksheets and other learning media must exist, it is certainly not all students get to have all the references, sometimes a certain disaat-saat user forget bring or had to borrow to the other so that it becomes the bottleneck in the process learning. However, the application of information and communication technology as a medium is required in supporting the learning process, the user can perform the work practice or learn the theories related to the learning process in schools is becoming more easy with the utilization of this technology. Using the method of accompaniment in implementing this activity, that accompany the activities from the beginning until the end of this activity, as well as the explanation of the memperikan benefit that can be obtained with the utilization of android-based applications and the expected able to give a positive impact to a better education.
Effect of oblique retroreflection from a vibrating mirror on laser Doppler shift

A laser Doppler vibrometer (LDV) fails to measure a large out-of-plane vibration of a rotating mirror when the mirror obliquely reflects the laser beam away, causing a signal loss from being detected. To solve this problem, an external retroreflective tape was used to recover the oblique reflection. However, the reading of LDV obtained from the recovered signal is not right because the retroreflection adds extra Doppler frequency shifts to the oblique reflection. Here, we first derive the relationship of Doppler shift to the oblique angle of retroreflection. For the first time with the help of retroreflection, a standard LDV can measure the largely vibrating mirror as well as a high-speed camera, albeit without the need for heavy computation.
2D Mapping and boundary detection using 2D LIDAR sensor for prototyping Autonomous PETIS (Programable Vehicle with Integrated Sensor)

PETIS (Programable Vehicle with Integrated Sensor) is a research project with goal make a robot that move independently with specific purpose. Due complexity of PETIS, research divide into several important sequence. In this research author focus on sense of sight for PETIS, LIDAR chosen due flexible and comprehensive. There is many LIDAR sensor in marketplace, LDS-01 as one of commercial LIDAR sensor available on market, produced by ROBOTIS as one of low-cost LIDAR sensor. Compare with another sensor that cost more than $1000, LDS-01 just cost lower than $500. On this research study focus with LDS-01 sensor reading, include hardware, software connection, and data handling. Based on this research LDS-01 as LIDAR sensor can read obstacle with minimum 29,9 cm and maximal 290,7 cm. Comparing with datasheet LDS-01 should work from 12 cm through 350 cm.
The Effectiveness of The Cooperative Integrated Reading and Composition (CIRC) and Preview Question Read Reflect Recite Review (PQ4R) on Reading Comphrehension Skill

This research aims to describe the effectiveness of the CIRC and PQ4R models on the reading comprehension skills of the fifth semester students of the PGSD study program. This study uses quasi-experimental design with pretest-posttest nonequivalent group design. This study used two experimental groups and one control group. The population of this study was the fifth semester students of PGSD Study Program. Sampling is done using a simple random sampling technique. To determine the effectiveness of learning CIRC and PQ4R, the data were analyzed using t-test and anava. The results of this study indicate that CIRC learning is effective in learning reading skills understanding of the fifth semester of PGSD Study Program with a significant level of 0.006 0.05. PQ4R learning is effective in learning reading comprehension skills in students in the fifth grade of elementary school with a significant level showing 0,000 0,05. The difference in CIRC and PQ4R learning is effective in reading skills. The fifth semester students of PGSD study program with a significance level of 0,000 0,05.
Two-Stream Oriented Video Super-Resolution for Action Recognition

We study the video super-resolution (SR) problem for facilitating video analytics tasks, e.g. action recognition, instead of for visual quality. The popular action recognition methods based on convolutional networks, exemplified by two-stream networks, are not directly applicable on video of low spatial resolution. This can be remedied by performing video SR prior to recognition, which motivates us to improve the SR procedure for recognition accuracy. Tailored for two-stream action recognition networks, we propose two video SR methods for the spatial and temporal streams respectively. On the one hand, we observe that regions with action are more important to recognition, and we propose an optical-flow guided weighted mean-squared-error loss for our spatial-oriented SR (SoSR) network to emphasize the reconstruction of moving objects. On the other hand, we observe that existing video SR methods incur temporal discontinuity between frames, which also worsens the recognition accuracy, and we propose a siamese network for our temporal-oriented SR (ToSR) training that emphasizes the temporal continuity between consecutive frames. We perform experiments using two state-of-the-art action recognition networks and two well-known datasets--UCF101 and HMDB51. Results demonstrate the effectiveness of our proposed SoSR and ToSR in improving recognition accuracy.
Correction to: Quantifying the Cost of Distrust: Comparing Blockchain and Cloud Services for Business Process Execution

The original version of this article, unfortunately, included the incorrect version of Fig. 1.
Using the effect of longitudinal chromatic aberration for measuring distances from a single color photograph

A method for measuring the distance to photographic objects based on the longitudinal chromatic aberration at which the focal length of the lens and, consequently, the degree of defocusing of the photograph depend on the color range used during shooting is proposed. By performing the local analysis of the spatial Fourier spectrum of the image, which is differently defocused in different spectral ranges, distances are calculated in analytical form. A theoretical justification of the proposed method is provided, and the results of its practical application for measuring distances to objects of the scene with the help of its color photograph taken using an objective with pronounced chromatic aberration are presented.
Semi-Clairvoyant Scheduling in Data Analytics Systems

Popular data analytics systems including Apache Hadoop, Dryad, and Apache Spark abstract jobs as directed acyclic graphs (DAGs). Speeding up completions for DAG jobs matter in practice in order to support real-time decisions. State-of-the-art works propose clairvoyant schedulers to optimize these goals, however, they assume complete job information as a prior knowledge which includes the precise DAG structure, and fine-grained resource requirement and duration time of each task. This assumption limits their applicability. In this paper, to be more practical, we relax the complete prior knowledge assumption and rely solely on partial prior information, based on which, we design a semi-clairvoyant task scheduler Cobra operating within each job. When managing resources for a job, Cobra adaptively adjusts its resource desires in a multiplicative-increase multiplicative-decrease manner on the basis of the its current resource utilization and the presence of current waiting tasks. When assigning tasks to run on the allocated resources, Cobra strives to satisfy task locality preference by tolerating each task waiting for some time that is bounded by a parameterized threshold. Even with the partial prior job information, when a set of jobs in which each employing Cobra as its task scheduler, run on a cluster that employs the fair job scheduler, we theoretically prove the produced makespan and average job response time are O(1)-competitive in different settings. We implement our design in Spark on YARN system, and use experiments from both real deployments and simulations on Google's trace to verify the performance promotion and sensitivity of Cobra.
Product sub-vector quantization for feature indexing

This work addresses the problem of feature indexing to significantly accelerate the matching process which is commonly known as a cumbersome task in many computer vision applications. To this aim, we propose to perform product sub-vector quantization (PSVQ) to create finer representation of underlying data while still maintaining reasonable memory allocation. In addition, the quantized data can be jointly used with a clustering tree to perform approximate nearest search very efficiently. Experimental results demonstrate the superiority of the proposed method for different datasets in comparison with other methods.
Correction to: Debiasing versus knowledge retrieval checklists to reduce diagnostic error in ECG interpretation

Due to an unfortunate turn of events, Fig. 3 was omitted from the original publication.
An Improved Bacterial Foraging Strategy for Image Segmentation

Under the background of image segmentation, the basic bacterial foraging algorithm(BFA) is analyzed intensively and improved in this paper. The fixed step size of chemotactic operator of traditional BFA is replaced by dynamic step size, and the fixed migration probability of its migration operator is replaced by dynamic migration probability. According to particle swarm optimization(PSO) strategy, the motion direction of bacteria is controlled and the global optimal search is delayed by the random selection of the motion direction of bacteria. The simulation analysis proves that when the improved algorithm is applied to the image segmentation, whether it is the segmentation unpreprocessed or the preprocessed image, the step size will be larger. All of them can find the optimal solution quickly and steadily which achieve better segmentation results.
Tunagrahita Student Learning Expert System with Backward Chaining Method at YKDW 01 Tangerang School

In general, the habit of learning a person is influenced by personality variables. Not a few parents who do not understand about the method of effective learning for children, the parents and teachers must approach first in order to know the personality and habits of children, especially children with a tunagrahita. Learning method given to the child is very important, therefore teaching methods applied by parents at home and given by teachers should be the same in order to facilitate the child in understanding the lesson and not experiencing confusion because accept different learning methods. This is very influential, because there are still many students with disabilities who still have difficulty understanding the learning especially reading, writing and counting where the learning will be very influential for the community. Based on these problems it is necessary expert system to facilitate parents in providing home study in accordance with the methods of learning provided by teachers at school so that students more easily and quickly in understanding the lesson
Threat Language: Cognitive Exploitation in Social Engineering

Social engineering aims to elicit sensitive information by using various manipulation approach to exploit the victim.The increasing of social communication platform such as email, messenger, facebook, linkedin, researchgate, combined with the social psychology and cognitive linguistics become a new weapon to attack either personal or even institutional targets.This paper explores the language used by the attacker to expose psychological threat to elicit sensitive information and to direct the victim to execute the certain action.The data are taken from emails which contain threat language.This paper illustrates how an attacker uses threat language to perform social engineering.The analysis is based on social engineering attack classification (Mouton, 2016) and cognitive pragmatics (Bara, 2010).The result shows rather than using persuasive approach, the attacker uses the threat to exploit cognitive process in thinking and decision making.Moreover the research also found pattern of a social engineer email: warning, threat, and enhancement.
Towards localization in long-range continuous interactive Anderson models

This paper is a follow-up of [8].The main novelty is the proof of spectral and dynamical localization for a class of interactive Anderson models in Euclidean spaces with realistic, infinite-range inter-particle and media-particle potentials featuring a power-law decay at infinity.Specifically, we prove that in an energy interval near the bottom of the spectrum, the spectral measure is pure point with probability one, and the decay rate of the averaged eigenfunction correlators in this energy interval admits a summable power-law bound, the exponent of which grows along with the growth of the decay exponents of the potentials.The localized eigenfunctions admit a fractional-exponential bound on their decay rate.Earlier rigorous works on interactive Anderson models assumed the media-particle potential to be compactly supported.
Human Resources Management Practices and Employees' Performance in Bahrain Airport Services Company

The objective of the research is to investigate, examine and analyze the impact of human resources management practices on the performance of the employees in the Bahrain Airport Services Company (BAS). The data was collected through a questionnaire that has been designed. The questionnaire was distributed to a random sample consisting of 346 employees representing the researched community. Software package SPSS 22, was used for data analysis. Analytical and descriptive methods were employed to answer the research questions and to test the research hypotheses. The results indicated that there is a statistically significant impact of human resources management practices on the performance of the employees in the Bahrain Airport Services Company (BAS). Finally, some recommendations have been suggested.
Combined defocusing triangular pulse width modulation fringe pattern and Gray code for absolute phase measurement

Projecting defocused binary pattern method can overcome the nonlinear gamma effect of the projector, as well as filter high harmonics, but it is sensitive to defocus levels. Therefore, it makes it difficult to generate both comparable performance to ideal sinusoidal fringe patterns and good quality Gray code when only a small number of phase shift patterns are used. To overcome this problem, a phase unwrapping approach combined Gray code with phase-shifting fringe patterns generated by triangular pulse width modulation (TPWM) technique based on slight defocusing is proposed. The phase is retrieved using a four-step phase-shifting method, and the corresponding phase order is obtained by Gray-code patterns. Because of defocusing projection, the boundaries of two adjacent Gray-code patterns become blurred, which make the recovery of accurate Gray-code patterns difficult. To solve this problem, we propose to project an all-white pattern and an all-black pattern to obtain threshold values, which are used to execute the binarization of Gray-code patterns. This approach is robustness to different defocus levels of projector. Experiments are submitted to verify that the proposed technique can be utilized to high-accuracy three-dimensional shape measurement of complex and/or discontinuous objects.
Implementasi E-CRM berbasis Web pada Perpustakaan Digital Sekolah Gema Nurani

The library is one of the important public service institutions in the school.The services provided cover all the scope of information about libraries.Gema Nurani School already has a digital library, a database built to facilitate data documentation and provide ease in library data management.Increased collection of books, not matched by the alertness of officers in updating the data, this makes its own difficulties for website visitors to find the desired book.Visitors also cannot provide input for improving the quality of the website and the services of library staff.The website so far only provided one-way information, from the library alone without any space for visitors to provide advice and criticism for website development. The concept of Customer Relationship Management (CRM) is a technique that can be used to Siti Nurajizah tle of manuscript is short and clear, implieVol. 9, No. 1, Januari 2019 83obtain, consolidate, and analyze data used as a means of interaction with customers, visitors / members of the library so that an encyclopedic view of the user will be realized.E-CRM is applied to the digital library of the Gema Nurani School in order to improve good relations, dedication and loyalty of library users as an effort of the school to grow up and increase interest in reading.In this research, the research method used for the development of this information system is the methodology for developing system FAST (Framework for the Application of System Thinking) with a Model Driven Development Sytategy approach because the standard FAST method is good as well as a stable and planned process Keywordsi-E-CRM, Digital Library, FAST
System Design of Driving Behavior Recognition Based on Semi-supervised Learning

Driving Behavior Recognition (DBR) has always been a key problem in the field of vehicle driving and traffic safety. However, there are some problems in previous studies that only the coarse-grained features are extracted and a large number of unlabeled samples consume human and material resources to label them. In this paper, we propose a driving behavior recognition system based on semi-supervised learning to solve these problems. First, wavelet decomposition is used to process the sensor signal, giving a decomposition of sensor signal into a set of approximate and detailed coefficients. Then, we extract 300 features from the decomposed signal to capture the patterns of driving behaviors, which contains fine-grained features especially. And 34 features are selected by a feature selection algorithm based on random forest algorithm (RF). Finally, an improved semi-supervised algorithm is proposed to optimize the strategy of selecting the unlabeled samples. And the experiment results show that fine-grained features are also effective and important relatively. And the improved algorithm has better classification performance compared to the previous algorithm using the dataset with different labeling rate.
Standard Operating Procedure of Housekeeping Adaptation: The Development of Assessment Tools in Cleaning Bathroom Practices at Vocational High School

.
A comparison between PCA and some enhancement filters for denoising astronomical images

This paper includes a comparison between denoising techniques by using statistical approach, principal component analysis with local pixel grouping (PCA-LPG), this procedure is iterated second time to further improve the denoising performance, and other enhancement filters were used. Like adaptive Wiener low pass-filter to a grayscale image that has been degraded by constant power additive noise, based on statistics estimated from a local neighborhood of each pixel. Performs Median filter of the input noisy image, each output pixel contains the Median value in the M-by-N neighborhood around the corresponding pixel in the input image, Gaussian low pass-filter and Order-statistic filter also be used.&#x0D; Experimental results shows LPG-PCA method gives better performance, especially in image fine structure preservation, compared with other general denoising algorithms.