Reviewerly/exHarmony huggingface dataset:
Wandering and getting lost: the architecture of an app activating local communities on dementia issues

We describe the architecture of Sammen Om Demens (SOD), an application for portable devices aiming at helping persons with dementia when wandering and getting lost through the involvement of caregivers, family members, and ordinary citizens who volunteer. To enable the real-time detection of a person with dementia that has lost orientation, we transfer location data at high frequency from a frontend on the smartphone of a person with dementia to a backend system. The backend system must be able to cope with the high throughput data and carry out possibly heavy computations for the detection of anomalous behavior via artificial intelligence techniques. This sets certain performance and architectural requirements on the design of the backend. In the paper, we discuss our design and implementation choices for the backend of SOD that involve microservices and serverless services to achieve efficiency and scalability. We give evidence of the achieved goals by deploying the SOD backend on a public cloud and measuring the performance on simulated load tests.
Behavioral Tracking and Inference Algorithm Using Skeleton Vector Information Analysis

This paper proposed a behavioral tracking and inference algorithm by skeleton vector information analysis. The proposed algorithm uses only RGB+D information to track and inference using CCTV images without additional equipment. First, the articulated points of action are extracted from the extracted RGB+D image. And the continuous vector data is then calculated using the relation vector expression at the extracted action point. Then, continuous vector data is applied to nonlinear inference curve expressions to inference angular velocity and state of shaking. Apply the learned model to various datasets to verify the accuracy of behavioral tracking and inference. As a result, simulations of 3D action information have demonstrated significant performance differences.
Finding Inlined Functions in Optimized Binaries.

Much software, whether beneficent or malevolent, is distributed only as binaries, sans source code. Absent source code, understanding binaries' behavior can be quite challenging, especially when compiled under higher levels of compiler optimization. These optimizations can transform comprehensible, source constructions into something entirely unrecognizable. Reverse engineering binaries, especially those suspected of being malevolent or guilty of intellectual property theft, are important and time-consuming tasks. There is a great deal of interest in tools to decompile binaries back into more natural source code to aid reverse engineering. Decompilation involves several desirable steps, including recreating source-language constructions, variable names, and perhaps even comments. One central optimization step in creating binaries is inlining functions. Recovering these inlined functions from optimized binaries is an essential task that most state-of-the-art decompiler tools try to do but do not perform very well. In this paper, we evaluate a supervised learning approach to the problem of recovering inlined functions. We leverage open-source software and develop an automated labeling scheme to generate a reasonably large dataset of binaries labeled with inlined functions. We augment this large but limited labeled dataset with a pre-training step, which learns the decompiled code statistics from a much larger unlabeled dataset. Thus augmented, our learned labeling model can be combined with an existing decompilation tool, Ghidra, to achieve substantially improved performance in inlined function recovery, especially at higher levels of optimization.
The Effect Of Internal Training Strategy On The Intention Of Working Turnover In Public Transport Companies (Field study in the General Company for Internal Transport in Lattakia)

This study aimed to show the impact of the internal training strategy on the intention of the work turnover in the General Company for Internal Transport in Lattakia, through the knowledge of the impact of each of the training program plan, the implementation of training programs, and the efficiency of training programs, the researcher relied on the deductive approach as a general approach to research, and follow The survey methodology was distributed to 550 individuals, which represents the total staff of the company, and then conducted a field study to illustrate this relationship. The study concluded that there is an acceptable effect of the internal training programs plan on work intent and a weak non-significant effect of the implementation of the internship programs on work intent. He then presented a summary of the most important results reached, where the most important result was that there is an acceptable effect of internal training in the intention of work turnover through the plan of internship programs and efficiency of internship programs. هدفت هذه الدراسة إلى بيان تأثير استراتيجية التدريب الداخلي في نية دوران العمل في الشركة العامة للنقل الداخلي في اللاذقية, من خلال معرفة تأثر كل من خطة برامج التدريب, تنفيذ برامج التدريب, وكفاءة برامج التدريب, وقد اعتمد الباحث على المقاربة الاستنباطية كمنهج عام للبحث, واتباع منهجية المسح, وقام بتوزيع الاستبانة على 550 فرد وهو يمثل مجموع كادر العاملين في الشركة، ومن ثم أجرى دراسة ميدانية بغرض بيان هذه العلاقة. وقد خلصت الدراسة إلى وجود تأثير مقبول لخطة برامج التدريب الداخلي في نية دوران العمل، ووجود تأثير غير معنوي ضعيف لتنفيذ برامج التدريب الداخلي في نية دوران العمل. ثم قدم ملخص لأهم النتائج التي تم التوصل إليها, حيث كانت النتيجة الرئيسة الأهم هي أن هناك تأثيرا مقبولا للتدريب الداخلي في نية دوران العمل من خلال خطة برامج التدريب الداخلي وكفاءة برامج التدريب الداخلي.
El arte en la exploración de valores y habilidades para la paz, la ciudadanía y la convivencia en el aula integral de la IED Antonio Nariño de Santa Marta

This research consists of investigating the importance of the use of art as a possible tool to explore values and skills for peace, citizenship and coexistence, building peace in the classroom of the Educational Institution Narino de Santa Marta Thanks to the participation of the students and parents who, with all the responsibility and sincerity that are required, collaborated in obtaining primary school. The approach to education in values implies offering a comprehensive quality education in the training of boys and girls, as a fundamental basis for them to fulfill their social duties and live together in peace, even if they pass and / or live in difficult economic, social and political situations. .In the first chapter, the problem that motivated this research on the coexistence of the classrooms of the Antonio Narino Educational Institution on the difficulties in resolving conflicts is presented.In the second chapter it covers the theoretical foundations, postulates, scientific opinions, exposing ideas and strategies in education and values, culture of peace, coexistence, education for peace, art and communication.In the third chapter, it shows the descriptive methodology with a qualitative approach that was used with the purpose of providing elements for the planning, implementation and evaluation of the activities.In the fourth chapter an alternative proposal is presented that involves the participation and integration of students in cultural and entrepreneurial spaces, seeking as a result that they are recognized through art, adoption of a culture of peace and in turn an alternative for the generation of income in the most vulnerable spaces.
LibGuides: HOA 725 & MHA 625: Information Technology in the Hospitality Industry: Library Success Tips

Resources to support the course: Examines the current level of technology use, explores the potential uses of existing technology, and discusses new technologies in the hospitality industry.
Abstracts published in the Proceedings of the Jaffna Science Association (1992-2017): A bibliometric analysis

Bibliometrics offers a powerful set of methods and measures for studying the structure and process of scholarly communication. By employing bibliometric approach, this paper examines the characteristics of the abstracts published in the Proceedings of the Jaffna Science Association (JSA), covering a 25-year period. Bibliographical details of 893 abstracts available in 24 volumes of the JSA proceedings were collected, tabulated, analyzed and reported. The attributes such as, distribution of abstracts, authorship pattern, institutional contribution, medium of language, subject coverage, and format of the abstracts were taken into consideration for the bibliometric analysis. Results showed that there is variation in the number of abstracts published per year, ranging from 17 to 74. Besides, 72.79% of the published abstracts belonged to pure and applied sciences. Collaborative authorship is a prominent feature observed in 81.52% of the abstracts, which is the current trend in scholarly communication. Among the contributing institutions, University of Jaffna is at the forefront. Analysis of subject coverage revealed that 62.71% of the abstracts related to the disciplines namely agriculture, biology and biochemistry. In view of enhancing the accessibility, majority of the authors selected English as a channel for their scholarly communication. Furthermore, it was found that 78.72% of the abstracts comply with the guidelines for the abstract layout, prescribed by the JSA. Regarding the length of abstracts, 44.46% fall within the acceptable range of 200- 299 words. This bibliometric study of scholarly communication provided a comprehensive view of the dynamical growth of knowledge of the region.
Hybrid neural network extreme learning machine and flower pollination algorithm to predict fire extensions on Kalimantan Island

The forest and land fires are one of the environmental problems that often occur in several regions of Indonesia, one of which is the Kalimantan Island. Ecologically, forest fires result in loss of nutrients, low soil infiltration, and high erosion. Therefore, rehabilitation needs to be done to improve and re-increase land productivity after a forest fire. One effort that can be done in preparing for the rehabilitation process is to predict the extent of forest fires. The purpose of this study is to predict the extent of fires on the island of Kalimantan using a hybrid artificial neural network method of extreme learning machine (ELM) and flower pollination algorithm (FPA). The flower pollination algorithm is one of the algorithms used in optimization problems. In the Extreme Learning Machine training process, this algorithm plays a role in optimizing the weight so that the optimal weight is obtained. The optimal weight used to predict is the best interest value (GBest) flower pollination algorithm. The stages of predicting the area of fire on the island of Kalimantan use the flower pollination algorithm and extreme learning machine, including data normalization, training process, validation test process, data denormalization, and error value calculation using mean square error (MSE). Based on the training process, obtained the smallest MSE of 0.016753377 with the MSE validation test of 0.017989928.
Domain Adapting Ability of Self-Supervised Learning for Face Recognition

Although deep convolutional networks have achieved great performance in face recognition tasks, the challenge of domain discrepancy still exists in real world applications. Lack of domain coverage of training data (source domain) makes the learned models degenerate in a testing scenario (target domain). In face recognition tasks, classes in two domains are usually different, so classical domain adaptation approaches, assuming there are shared classes in domains, may not be reasonable solutions for this problem. In this paper, self-supervised learning is adopted to learn a better embedding space where the subjects in target domain are more distinguishable. The learning goal is maximizing the similarity between the embeddings of each image and its mirror in both domains. The experiments show its competitive results compared with prior works. To know the reason why it can achieve such performance, we further discuss how this approach affects the learning of embeddings.
Decision Tree Analysis on Employee Job Satisfaction and HRD Climate: The Role of Demographics

Owing to the advancement in science and technology, business firms are facing lot of challenges in all dimensions, including human resource management. Hence, the concept of human resource development has got lot of prominence and to be regarded as human resource oriented rather technology oriented. Investment towards enrichning the skills of human resources will give maximum benefits to the individuals as well as to the organisations. Due to rapid changes, it a dire need on the part of organisations for enriching the skills of their manpower from unskilled to semi skilled and semi skilled to skilled. Through this, it is a convention in the human resource department to create a culture of updating the people on continuous basis to grow them vertically as well as horizontally, so that the organization will also grow in the same direction. HRD plays a major role towards collective change and bringing effectiveness among the employees of the organisations of these days. The present study is an attempt towards identifying significant component of HRD Climate, viz., General Climate, HRD Mechanism and OCTAPCACE Culture shows a significant impact on Employee Job Satisfaction. It is a survey based empirical study has conducted methodologically and findings of the study have shown a significant association between demographics and job satisfaction related to human resource development climate. And opportunity to junior level employees with the cooperation of senior managers and the transparency in organization, future plan are greatly associated with job satisfaction of the employees driven by good HRD climate.
Evaluation of different illumination designs for tunable 3D structured illumination microscopy through model-based restoration

In a tunable 3D structured illumination microscopy (3D-SIM) based on an illumination system comprised by a multi-slit array and a Fresnel biprism, the 3D structured illumination (SI) pattern depends on the design of the slit array. Previous work studied the impact of the illumination pattern design on the achieved extension of the compact support of the tunable 3D-SIM optical transfer function. In this contribution, we use simulations with different illumination designs that utilize a different number of slits, to evaluate system performance by investigating the lateral and axial resolution achieved in the restored images computed with a regularized iterative 3D model-based algorithm, which minimizes the mean square error between the model and data. Three illumination designs are investigated in which the number of slits is N = 3, 9 and 11 while the corresponding distance between the slits is <i>x</i><sub>0</sub> = 488 μm, 122 &mu;m and 100 &mu;m, respectively. A 3D star-like object, commonly used in resolution analysis of imaging systems, is used in the simulations. Results are quantified using the mean square error and the structured similarity index as well as intensity profiles that show the achieved resolution and robustness to noise in each case. The lateral and axial 3D-SIM theoretical resolution limits are achieved in the presence of 20-dB Poisson noise while small differences are evident in the results from 15-dB simulated data obtained using the 3 investigated designs.
The reformation discourse of internet-based learning of Madrasah Aliyah English teachers in Kalimantan

This research is aimed to investigate the implementation of internet-based learning of Madrasah Aliyah (MA) in Kalimantan as well as barriers they face in making innovation and integration towards internet-based learning especially in English classrooms The gaps this research identified include to improve variety of internet-based teaching platforms However, the support systems of the internet platforms are not affordable for the full online internet learning, nor blended learning is allowed during the Covid-19 outbreak The descriptive design and qualitative approach were applied in this research Participants were selected from MA in several cities including Balikpapan, Bontang, Samarinda, and Banjarmasin Data were collected through direct observation to classrooms and interview to the English teachers Data were analyzed using the Flow Model Analysis from Miles and Hubberman The findings indicate that English learning at MA in Kalimantan needs internet to create fruitful teaching and learning process in the classrooms However, limited access on internet facility provided by schools occur substantially, where students are not possible to afford the internet quota Though English learning at MA has been integrated into internet platform, such as Edmodo, Google Classroom, Luiziz, Google translate, and other online social learning platforms, the core problems appear in that support system of the internet remains the threats of implementing internet learning system at MA in Kalimantan © 2021 Asian E F L Journal Press All rights reserved
B-QUARKS, WI AND KLEIN BOTTLE

The quark geometry is postulated in an octonian world since they are not visible. For the weak interaction the octonians double up the coordinates for energy scalars. The rgb-gravitons are postulated for nucleon tetrahedrons with a three quarks dihedral D3. New finite dihedral symmetries guide also the neutrino oscillations. Thea are added to the standard models U(1)xSU(2)xSU(3) and the CPT symmetry of physics. Eight energies or charges are postulated: color, electrical, mass charges, heat, electromagnetic/light, kinetic, magnetic, rotational/angular energies. A compass with a needle and circle U(1) sets most six valued cycles in different form: six color or electrical or mass charges. Gleason frames are new quantum measuring apparati and carry three real or complex or quaternionic scalar values on their spin-like orthogonal base 3-dimensional frame. They are for the measurement Copenhagen interpretation. Wave descriptions for energy systems are on the last octonian coordinate which introduces through the U(1) circle exponential or other functional descriptions for physical systems.
Comparative Analysis of Five Modulus an Pictorial Block Algorithms For Data Hiding in Digital Images

Steganography is an art and science that studies invisible communication from confidential data on a multimedia carrier such as image, audio and video files. The most popular steganography method is the LSB (Least Significant Bit) method. However, the LSB method is very vulnerable to attack by using basic image processing operations. In 2013, Jassim applied the Five Modulus method in the steganography process. Five Modulus method will solve a digital image into a set of image sub-blocks called windows with size n x n. A secret message will be inserted in that window. According to Jassim, the smaller the window size, the more secret messages that can be inserted into the image. Meanwhile, in the Pictorial Block steganography algorithm, the secret information will be stored in a grayscale digital image file and converted to ASCII values ??and the length of the information will be calculated. After that, the digital image will be divided into 2n x 2n blocks using the block truncation coding (BTC) algorithm. Then, the block will be converted to binary format and incorporate the original information on its decomposition matrix. The pictorial block steganography algorithm uses the BTC algorithm to convert the grayscale input image block into a binary image block so that the secret information bit insertion operation can be performed. The resulting steganography software can hide confidential data into a digital image. The secret data stored in the stego image can be extracted out in the extraction process.
PERENCANAAN ULANG KAPASITAS SALURAN DRAINASE TERHADAP INTENSITAS CURAH HUJAN DI KAMPUS B UNIVERSITAS NEGERI JAKARTA

Campus B UNJ has high rainfall causes puddles because drainage water does not function optimally. The research aims to analyze and re-plan the capacity of drainage channels can accommodate the intensity of rain. Research analysis methods analysis of drainage channel capacity tested comparing channel discharge with discharge plan. The analysis used maximum rainfall data period 5years and nine drainage channels can not accommodate the discharge plan. Need to normalize the dimensions of the drainage channel on the I-A&amp;B channel from width of 0.5m high 0.6m to width of 1m high 1m, channel I-C from width of 0.5m to height of 0.6m to width of 1.2m high 1.4m, channel II-A&amp;B from width 0.4m height 0.4m to width 0.6m high 0.8m, channel III-A from upper width 0.8m width below 0.6m height 0.6m to width over 1m width under 0.8m height 1.4m, channel III-B from the upper width of 0.8m lower width 0.6m height 0.6m to the width of the upper 1.8m width below 1.6m height 1.8m, Channel IV from a width of 0.2m height of 0.4m to width of 0.7m high 0.8m, channel V from width of 0.4m height of 0.5m to width of 1.2m high 1.4m. Maintenance from sedimentation and waste.
문법 교과서의 ‘결합 관계 술어’ 사용 양상

The purpose of this study is to analyze the use of ‘syntagmatic relation predicate’ according to the ‘syntagmatic elements’ in grammar textbook, and to interpret the grammar educational meaning of the results. To this end, ‘Language and Media’ textbooks according to the 2015 Korean Language National Curriculum were used to extract sentences in which ‘syntagmatic elements’ and ‘syntagmatic relation predicate’ appear, and then ‘co-occurrence’ was statistically confirmed through loglikelihood ratio. As a result, the co-occurrence list of ‘syntagmatic elements’ and ‘syntagmatic relation predicate’ was extracted. And based on this, the aspects of using ‘syntagmatic relation predicate’ and the grammar educational meaning were discussed both in macro and the micro level. In addition, we also discussed how the ‘syntagmatic relation predicate’ should be used in elementary grammar education.
Privacy Preserving Smartphone Camera Tracking Using Support Vector Machines

Due to easy access to recent hand-held technologies, privacy concern has also increased. One most common and prevalent form of privacy and intellectual property breach nowadays is use of smartphone camera. This work reflects an attempt for privacy protection in smartphone environment. The potential contribution from this study is to disable smartphone camera temporarily by tracking it. The key parts of the approach are camera lens detection and tracking in upper body area, and then disabling it. The detection stage involves camera calibration followed by image processing steps conducted on captured environment frame for camera lens detection using either by database search or support vector machines applied on published data of smartphone camera lenses. The disabling process is enabled using safe-to-environment laser(s) controlled by a hardware interface. For tests, an experimental system is built, and results show improvement in tracking using support vector machines with performance error less than 0.5%.
TextPolar

Driven by deep learning and instance segmentation, scene text detection based on segmentation has achieved remarkable results during the past few years. However, most existing pixel-wised segmentation-based detectors may fail to separate two close text instances because of their adjacent boundaries. To tackle this issue, inspired by Polarmask, we present a detector for curved text detection, which formulates segmentation problem as predicting contour of text instance. We model scene text instances in the polar coordinate and it contains two sub-tasks: text instance center classification and distance regression. Moreover, we propose Polygon Center-ness and Spatial Attention Module, which helps suppress the low-quality detected bounding boxes and improves the overall performance by a large margin. We evaluate the proposed method on curved challenging benchmarks Total-Text and CTW1500. Experiments demonstrate that our method outperforms comparable performance.