Reviewerly/exHarmony huggingface dataset:
Mathematical models of obtaining stereo images from two-mirror catadioptric systems with regard to lens distortion

In this paper, we develop and research mathematical models that describe image acquisition from two-mirror catadioptric systems, which allow one to generate stereo images using a single camera and two flat mirrors. The main difference between the proposed models and existing solutions in this area is that real camera distortion is introduced into the images. An overview of the main methods of creating 3D models using optical technologies is presented, as well as an overview of types of catadioptric systems depending on the number of mirrors and their shape (curved or flat). The methodology of the research consists in the mathematical modeling of a two-mirror catadioptric system, as well as in a computer experiment using real images that were obtained using a stereo nozzle with two flat mirrors and synthetic images which were generated based on the ray tracing algorithm. Results of the experiments on the camera calibration with a stereo nozzle, as well as results of image rectification using the calibration data and developed mathematical models are presented. The results of the experiments allow us to verify the adequacy of the developed models. The proposed models expand the theory of computer vision and can be used in the creation and research of computer vision systems for robotic complexes.
Geometrical Model of Laser Triangulation System Based on Synchronized Scanners

In traditional synchronized scanning system, the trajectory of the 3D scanning point is modeled as a circle when the thickness of rotated mirror is assumed to be zero. In this paper, a novel method to model the geometric measurement of synchronized scanning triangulation in the unfolded light path is proposed. Unlike most existing recent works, the 3D coordinate of the target is reasoned from the geometrical model, which includes all 14 system parameters. Further, the performance of the system precision can be analyzed and the importance of the thickness of rotated mirror is confirmed. In the experiment, a synchronized scanning system is developed. The experimental result demonstrates that the value of measurement uncertainty at a distance of 0.5m is 0.75mm and at a distance of 5m is 6.68mm. The standard deviations from the measurement point to the fitting plane at a distance of 0.5 m and 5 m are 1.10 mm and 19.73 mm, respectively.
A Simple Method for Cost Estimating and Controlling

Based on software project survey from Standish Group’s “CHAOS Report”, 29% of software projects in large enterprises can be delivered on time and not over budget, 53% of software project were over budget or had some problem with the schedule, and 18% of software project were failed. This means that cost management is very important to prevent the possibility of project’s failure. Therefore, in this paper, we provide and recommend some methods and technique in order to do cost estimation and cost controlling as the crucial part of project cost management. We recommend Activity-Base Costing method for cost estimation and Earned Value Analysis for cost controlling. As the result of this paper, these two methods can be applied properly to real project and ease the project manager to estimate and control the cost of the project.
PEMBUATAN VIDEO PROFIL PERUSAHAAN BERBASIS ANIMASI 3D DI PT. KRAKATAU INSAN MANDIRI

Multimedia as a medium of communication, information delivery, and promotion is one of the most popular technology fields. As a fields that are flexible and can be attractive, as well as pamper the human senses, multimedia can simultaneously affect humans visually, audio, and touch so that it can make consumers digest the message contained more optimally. One product that requires multimedia to improve its superiority is a company profile or profile company. In this case, PT. Krakatau Insan Mandiri seeks to introduce clearly as well as attractive to consumers through profile videos 3D animation based company. The benefits are documentation and promotional media and information about the company profile of PT. Krakatau Insan Mandiri. In making this company profile video the author uses methodologies include: Literature Study, Analysis and Design of Systems, System Implementation, System Testing, and Documentation
Mineralogy and Pollution Status of Columbite-Tin Ore Contaminated Soil

Mining activities are one of the numerous ways by which man impacts on his environment. In this study, two non-destructive analytical techniques (XRF and XRD) were employed in the mineralogical characterization of Columbite-Tin ore and their contaminated soils. This investigates associated unnoticed minerals as well as the impact of mining on vicinity farmland soils on the Yelwa-Mbar mining site, Nigeria. The chemical characterization of Columbite ore using electron dispersive XRF revealed that most of the Columbite mineral deposits in the Plateau mining sites contain Niobium mineral in various proportions and vary from deposit to deposit depending on the geochemical composition of the minerals that formed the parent rock. Tin content as determined by ED-XRF impart that the ore can be utilized directly in the furnace because of its high cassiterite content (85.43%). The percentage elemental composition of soil around the mining vicinity unveiled the presence of Radionuclides K-40, Rubidium and Thorium in the soil. This is of great concern. The XRD mineralogical investigation of Columbite shows the presence of associated braunite, cassiterite, ilmenite, quartz, and zircon while the phase pattern for Tin ore confirmed the availability of cassiterite, magnetite and litharge. Pollution status based on contamination factor and geo-accumulation indices gave both radionuclides and heavy metal concentrations that depicts moderate to extreme contaminations.
IMPROVING STUDENTS’ READING COMPREHENSION USING SCANNING TECHNIQUE

The research was conducted in SMK LuhurBaladikain West Bandung. Reading has become the important instrument in education especially in teaching and learning. Reading comprehension is the activity of constructing the meaning of a reading that has important funding in the process of education and the success of students in learning. The research aims to find out the benefit of using scanning technique, and the specific target to be achieved in this research is to prove scanning technique to improve students’ reading comprehension. Output required of this research as a scientific publication in journal that have ISSN. The design of this research is Classroom Action Research (CAR). From the result of pre-test, we found that students’ reading comprehension is under average, the score of pre-test is 59.00. After the implementation of scanning technique in every cycle, the students’ reading comprehension were getting better, it can be seen in average of post-test score cycle 1 was 68.5 and cycle 2 was 79.00. It can be concluded that scanning technique can improve students’ reading comprehension.
Rancang Bangun Sistem Jemuran Pakaian Otomatis Menggunakan Metode Fuzzy Logic

Clothesline clothing is a necessity that must be owned by almost every one. Rain or inclement weather up to now become a key issue for the people that have a clothesline. At the time of the rainy season, the majority of people feel anxious when they're drying the clothes. The anxiety will increase while at the time of drying clothes but concerned are located outside the House and in the House was no person. The genesis of the people so reluctant to open places pakain drying, fearing jemurannya wet exposed to rain water. This research has been made on a prototype automatic clothes clothesline system using microcontroller, Arduino wifi module, a motor with sensors-sensors installed in it. In the logic of determining the weather conditions used fuzzy logic to produce output that is accurate. The prototype architecture is intended to make it easier for people when drying their clothes, so when the rain struck, clothesline clothing can move automatically toward the shade so that her clothes were not wet exposed to rain water. Of all the testing and evaluation that have been carried out, i.e. testing the response of the sensor against rain, tools testing response tool against the light sensor, testing mobile applications in data reading on the sensor and testing system in controlling Clothesline the clothes manually using mobile applications, obtained that the system created has been functioning properly and produce output as expected.
Domain-specific architectures driven by deep learning

Deep learning (DL) is one of the most exciting progresses in the field of artificial intelligence (AI); moreover, its new computational demands are driving new architecture researches. This paper firstly points out DL requirement essence by analyzing the stage and tasks in AI development, then discusses DL domain-specific architectures (DSAs) from three perspectives, which are the criteria of computational structures, the basics of a numerical system for computation, and DL DSA potential research directions. Furthermore, herein, the Kullback-Leibler divergence was utilized as the criteria for DL computation architecture complexity and accuracy. Besides, Posit was employed as a new number system to rebuild DL computation and scientific computation and to establish the late-development advantage of digital chips. Finally, it was concluded that DL DSAs are one of the critical DSA research areas.
A chain code for representing high definition contour shapes

The biggest disadvantage of using chain code techniques is the generation of low definition contour shapes, in this paper we present the Extended Slope Chain Code (ESCC) which is an improvement on the Slope Chain Code (SCC). The ESCC is focused on the representation of high definition contour shapes. Generally speaking, most chain codes hold the length of the straight-line segments which represent the contour shape as a constant. In this case, the contour shapes represented by ESCC are composed of variable segments, which allow us to have a better description of the contour shape. Thus, the length of the segments are a function of the slope changes, i.e. the length of the next segment depends on the value of the slope change at that point. Therefore, the ESCC is continuously adjusting to the curvature requirements of contour shapes, in order to have a better description of contour shapes.
Autonomous Abnormal Behaviour Detection Using Trajectory Analysis

&lt;span lang="EN-GB"&gt;Abnormal behaviour detection has attracted signification amount of attention in the past decade due to increased security concerns around the world. The amount of data from surveillance cameras have exceeded human capacity and there is a greater need for anomaly detection systems for crime monitoring. This paper proposes a solution to this problem in a reception area context by using trajectory extraction through Gaussian Mixture Models and Kalman Filter for data association. Here, trajectory analysis was performed on extracted trajectories to detect four different anomalies such as entering staff area, running, loitering and squatting down. The developed anomaly detection algorithms were tested on videos captured at Asia Pacific University’s reception area. These algorithms were able to achieve a promising detection accuracy of 89% and a false positive rate of 4.52%.&lt;/span&gt;
User Behavior Profiling in Social Media Applications

Given the increase of sensitive data stored within mobile devices and social media applications, the need for creating a user behaviour profile is in high demand for preventing security breaches, impersonation or unauthorized access to resources.The behaviour of a user is defined by the aggregation of different patterns that are obtained while constantly using a software service on a mobile device or a computer.The scope of this study is to identify a core group of characteristics that can be further used in profiling a user based on his behaviour.For that, a survey consisting of 20 questions was conducted having a set of 356 responders.The obtained data were pre-processed and used as input for supervised and unsupervised classification techniques.Two applications, one web-based and one mobile, were implemented in order to expand the prior selection of characteristics and to verify the obtained results.They were used to measure interaction events and ways of using social media on both versions of the applications.Taking into account these different behaviour based characteristics, we defined different groups of users that are uniquely identifiable by limited sets of characteristics.
Contribution and Effectiveness Ease Smoke to Earnings of Genuiness Area North Province Sulawesi of the Year 2014–2017

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Improving Nearest Neighbor Partitioning Neural Network Classifier Using Multi-layer Particle Swarm Optimization

Nearest neighbor partitioning (NNP) method has been proved to be an effective method to enhance the quality of neural network classifiers. However, there are many cluster shapes in NNP, which results in a large number of local optimal solutions in the searching space by the traditional particle swarm optimization (PSO) algorithm. Therefore, the multi-layer particle swarm optimization (MLPSO) is introduced to increase the diversity of searching groups through increasing the number of layers, thereby improving the performance when facing with large scale problems. In this study, we adopt the combination of multi-layer particle swarm optimization and nearest neighbor partitioning to solve the local optimal problem caused by multi-cluster shapes in the optimization of NNP. Experimental results show that this method improves the performance of classifier.
Automata Technique for The LCS Problem

In this paper, we introduce two eﬃcient algorithms in practice for computing the length of a longest common subsequence of two strings, using automata technique, in sequential and parallel ways. For two input strings of lengths m and n with m ≤ n, the parallel algorithm uses k processors (k ≤ m) and costs time complexity O(n) in the worst case, where k is an upper estimate of the length of a longest common subsequence of the two strings. These results are based on the Knapsack Shaking approach proposed by P. T. Huy et al. in 2002. Experimental results show that for the alphabet of size 256, our sequential and parallel algorithms are about 65.85 and 3.41m times faster than the standard dynamic programming algorithm proposed by Wagner and Fisher in 1974, respectively.
Diseño de un autopiloto para pequeños vehículos no tripulados

In this work, the design of an autopilot for small unmanned vehicles is presented. It is focused mainly on the system’s architecture, while presenting some important remarks of the developed firmware. In particular, the firmware uses rosserial, a package that allows a simple connection with ROS (Robot Operating System), which is useful for a number of applications. The work is validated experimentally on an multirotor-type unmanned aerial vehicle (UAV), and on an autonomous surface vehicle (ASV). These vehicles have been developed by our group, and this work provides information about such projects, which may be useful for those interested in the development of this kind of vehicles.
Combining Weighted Contour Templates with HOGs for Human Detection Using Biased Boosting

This paper proposes a method to detect humans in the image that is an important issue for many applications, such as video surveillance in smart home and driving assistance systems. A kind of local feature called the histogram of oriented gradients (HOGs) has been widely used in describing the human appearance and its effectiveness has been proven in the literature. A learning framework called boosting is adopted to select a set of classifiers based on HOGs for human detection. However, in the case of a complex background or noise effect, the use of HOGs results in the problem of false detection. To alleviate this, the proposed method imposes a classifier based on weighted contour templates to the boosting framework. The way to combine the global contour templates with local HOGs is by adjusting the bias of a support vector machine (SVM) for the local classifier. The method proposed for feature combination is referred to as biased boosting. For covering the human appearance in various poses, an expectation maximization algorithm is used which is a kind of iterative algorithm is used to construct a set of representative weighted contour templates instead of manual annotation. The encoding of different weights to the contour points gives the templates more discriminative power in matching. The experiments provided exhibit the superiority of the proposed method in detection accuracy.
Pentingnya pelestarian naskah kuno sebagai warisan budaya bangsa

&lt;p&gt;&lt;em&gt;As one of the written historical evidence, ancient manuscripts or manuscripts are ancestral heritage that is rich in cultural values, moral values, religious values, and social values. The ancient manuscript also describes the previous human civilization that was rich in science. The ancient manuscript is a historical reminder that should be preserved and its existence is preserved so that the next generation of the nation can also recognize the values &lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;em&gt;of the information contained in the text. Preservation is the most appropriate way to maintain the existence of ancient manuscripts from obliteration. Preservation efforts are activities carried out to preserve the heritage of cultural heritage in this case the ancient manuscripts so that they are not quickly damaged and can be used in accordance with the original. This is very important to be carried out by the relevant institutions to save the priceless national assets that have so far been neglected and are still very concerning. Along with the development of increasingly sophisticated technology, preservation also undergoes a change of method, from traditional to modern techniques. This method is the most appropriate method to do than traditional methods that can have an adverse effect on the manuscript, because there are many texts that have been physically damaged. With modern methods it is hoped that ancient manuscripts can be digitized so that they can be easily accessed and read by the next generation.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;Keywords: preservation, ancient manuscripts, heritage, culture&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt; &lt;/em&gt;&lt;/p&gt;
Author Correction: Reconstructing quantum states with generative models

In the version of this Article originally published, the following sentence in the Acknowledgements was incorrect: ‘Research at Perimeter Institute is supported through Industry Canada and by the Province of Ontario through the Ministry of Research & Innovation.’ It should have read: ‘Research at the Perimeter Institute is supported by the Government of Canada through Innovation, Science and Economic Development Canada and by the Province of Ontario through the Ministry of Economic Development, Job Creation and Trade.’ This has now been corrected.
Perancangan Sistem Informasi Pemerintahan Berbasis Web Studi Kasus Kantor Kelurahan Sumur Batu

Nowadays, in globalization era information technology is advancing rapidly. Computers are equipment that was created to facilitate human work, currently achieving progress both in hardware and software. Kelurahan Sumur Batu requires an information system that supports and provides information services that are satisfying for information seekers. Kelurahan Sumur Batu is one of the smallest units of the DKI Jakarta Government which has an important role in conveying the vision and mission of the DKI Jakarta Government. The design of information systems is the best solution to solve the problem of lack of information for the people in Kelurahan Sumur Batu. With the existence of a web-based Government Information System, the information obtained will become more attractive, faster and easily accessible to many people.
ANALISIS KEMAMPUAN SALURAN DRAINASE TERHADAP GENANGAN BANJIR DI JALAN GUNUNG BUNGKUK KOTA BENGKULU DENGAN MENGGUNAKAN APLIKASI EPA SWMM 5.1

This study aims to determine the flood discharge plan, discharge the existing channel and analyze the condition of the existing channel and look for alternatives to handling flood inundation at the location of flood inundation. Retrieval of data by measuring the existing channel in the flood inundation location. Calculation of peak discharge uses rational methods for various times of plan return. Rainfall calculation results of the plan that meets the requirements are type 1 Gumbel Method. The results of the research and calculations areknown that the amount of existing channel discharge in seven locations of flood inundation ie left and right Mountain Bambat Road is 0.934 m3 / sec and 3.798 m3 / sec. 2,261 m3 / sec, the left and right Gunung Bungkuk Roads are 0.134 m3 / sec and 0.164 m3 / sec while the flood discharge is 1.897 m3 / sec, Gunung Bungkuk 1 Road is 0.30 m3 / sec while the flood discharge is 0.471 m3 / sec, Gunung Bungkuk Road 4 hunchback of 0.190 m3 / sec while the flooddischarge is 1,336 m3 / sec and Gunung Bungkuk Road is 4 0,173 m3 / sec while the flood discharge is 0,864 m3 / sec and for the drainage of Jalan Gunung Bungkuk is not calculated the channel discharge is due to the channel being closed so that the channel dimension not obtained but for the flood discharge of 2.230 m3 / sec and 0.447 m3 / sec. Thus, it shows that the existing discharge channel on the existing Gunung Bungkuk Hump Mountain Road is unable toaccommodate the planned flood discharge. The alternative to flood inundation is by re-planning drainage channels, channel normalization activities, and improving coordination between the government and the community in maintaining drainage channels.
Preventing SQL Injection Attacks by Automatic Parameterizing Raw Queries Using Lexical and Semantic Analysis Methods

SQL injection (SQLI) is one of the most important security threats against web applications. Many tech-niques have been proposed for counteracting SQLI attacks; however, second-order attacks and the injectionattacks that are raising data-type mismatch errors have been ignored in most of them. In this paper, wepropose a new anomaly-based method (deploying as a proxy between the application server and its databaseserver) for detection and/or prevention of SQLI attacks without requiring any modication to the sourcecode of vulnerable applications. The majority of attacks, which lead to a change in the syntax of applica-tion queries, are identied in the detection phase by lexical analysis of the queries. The remained types ofattacks, such as second-order attacks and attacks generating data type mismatch errors, are prevented tobe executed in the prevention phase, where each query is automatically converted to a parameterized query(before submitting to its database) using a semantic analysis method.
ACCELERATION IN STATE-OF-THE-ART ASR APPLIED TO A VIETNAMESE TRANSCRIPTION SYSTEM

This paper presents the adoption of state-of-the-art ASR techniques into Vietnamese. To better assess these techniques, speech corpora in the research community are assembled, and expanded, making a unified evaluation material under the name VN-Corpus. On this corpus, three ASR systems are built using the conventional HMM-GMM recipe, SGMM, and DNN respectively. Experimental results crown DNN with the overall WER of 12.1%. In the best case, DNN even cut down to 9.7% error rate.
Correction to: Mineralogical and petrographical studies of agricultural soil, Assiut Governorate, Egypt

Following publication of the original article (Abou El-Anwar et al. 2019), the authors reported two errors in the Reference.