Reviewerly/exHarmony huggingface dataset:
WEB APP PENDETEKSI JENIS SERANGAN JARINGAN KOMPUTER DENGAN MEMANFAATKAN SNORT DAN LOG HONEYPOT

Along with the current development of Information Technology is always changing to make the security of an information is very important, especially on a network connected to the internet. But what is unfortunate is that the imbalance between each development of a technology is not accompanied by developments in the security system itself, so that there are quite a lot of systems that are still weak and have to be increased by the security wall. This study aims to design a Web-based App interface to facilitate users or administrators in securing network computers from various types of attacks. The Instrusion detection system (IDS) method is used to detect suspicious activity in a system or network using snort and honeypot. Honeypot is built on a computer along with Apache, MySQL, and Snort. Honeypot will act as a target to attract attackers and log information from the attacker and snort to apply the rules made from the web. The functional system will then be tested using the black box testing method. The results of this study concluded that Web App-based interfaces that are created can be used to help users and administrators in maintaining data and information on server computers from various types of attacks on computer networks
Feasibility Study of UAV Implementation in Route Surveying

Unmanned Aerial Vehicle (UAV) are widely used in numerous field and the technology keeps growing.Generally, conventional method used in data collection for engineering work is tedious and requires a lot of manpower.This research focuses on the investigation of the suitability of UAV for route survey.Three stages involved: data collection, data processing and data analysis.By using Kama Beta, the data was collected.For data processing, Pix4D Mapper is used for point cloud and AutoCAD 2014 for the analysis stage.The result is mainly focused on extracting the road profile and test the point cloud data using Root Mean Square Error (RMSE).The result from both methods, conventional and UAV from the point cloud data using RMSE show only the small difference, with only 6.67% from total 60 points out of tolerance.
Facial Expression Recognition: A Cross-Database Evaluation of Features and Classifiers

Many approaches in both feature extraction and classification have been proposed in order to build a robust automatic facial expression recognition system.The chosen features and classifiers are usually compared in limited scenarios.In this paper, 5 feature extractors (3 variations of Gabor filters, Local Binary Patterns, and Discrete Cosine Transform) and 4 classifiers (K-Nearest Neighbors, Support Vector Machine, Radial Basis Function Neural Network, and Naive Bayes) were combined and applied to three different datasets: JAFFE, Yale, and CK+.The combinations of feature extractors and classifiers were compared in more robust settings, being evaluated in each dataset separately and in 3 cross-database settings, to verify the technique's generalization power.All experiments were performed in two validation scenarios: in the first one, the system tries to recognize the facial expression of a person already known to it in the training phase, using an image not present in the training set (leave-one-out); in the other scenario, all images of a certain individual are in the testing set, so the system tries to recognize the facial expression of a person unknown to it in the training phase (leave-one-subject-out). Accuracy results, as well as computational times, are presented, suggesting the combination of feature extractors and classifiers more suited for generalization.
Chu Culture Allusion Exhibition System through the View of Augmented Reality in Heterogeneous Environments

Inheriting historical culture innovatively is the irresistible trend of information era, and AR(Augmented Reality) is an advanced technique for this purpose. This paper introduces an AR system for historical allusion learning in heterogeneous environments, which consists of a multi-media database oriented to Chu culture, and an AR interaction system. By using AR interaction system, users could see the virtual sources and the real environment simultaneously. This lively interacting method would encourage the learning and spreading of historical allusions.
МУЛЬТИМЕДІЙНИЙ ТВОРЧИЙ ПРОЕКТ ЯК ФОРМА САМОСТІЙНОЇ РОБОТИ СТУДЕНТІВ ТА ЧИННИК ЇХ ПРОФЕСІЙНОЇ СОЦІАЛІЗАЦІЇ

The article deals with the definition of features of multimedia creative projects as a form of students’ independent work and a factor of their professional socialization. The result of the study was the identification of the differences between the creative project and creative work. These differences are the timing of implementation; the number and complexity of tasks; the planned result; the competencies that are formed by students in the process of implementing a creative project; the multimedia technologies used in the project, etc. The article offers a list of stages that are typical for a multimedia creative project, in particular, planning; choice of multimedia technologies and tools; project implementation; presentation of project components in classroom sessions or consultations; protection of the project. The article highlightes the interrelation of multimedia creative projects with lessons in the classroom, as well as defines the features of the use of multimedia technologies in creative projects. Particular attention is paid to the toolkit (computer programs and Internet resources), which students can use when doing creative projects. The list of recommended Internet resources is given, which are useful for students and teachers when creating multimedia creative projects. The author has identified the indicators of students’ professional socialization in the performance of multimedia creative projects, in particular, getting students modern knowledge about programs and technologies that can be used to create multimedia creative projects; the acquisition by students of the skills of using Internet resources in order to create multimedia creative projects; the formation of professional student portfolios that can be used in the process of job search; demonstration of skills of work with modern computer technologies.
RETRACTED: Klasifikasi Data Time Series Arus Lalu Lintas Jangka Pendek Menggunakan Algoritma Adaboost dengan Random Forest

RETRACTEDFollowing a rigorous, carefully concerns and considered review of the article published in BRILIANT: Jurnal Riset dan Konseptual to article entitled Klasifikasi Data Time Series Arus Lalu Lintas Jangka Pendek Menggunakan Algoritma Adaboost Dengan Random Forest Vol 4, No 1, pp. 78-96, February 2019, DOI: http://dx.doi.org/10.28926/briliant.v3i3.272.This article has been found to be in violation of the BRILIANT: Jurnal Riset dan Konseptual Publication principles and has been retracted.The editor investigated and found that the article published in Jurnal Teknologi Informasi CyberKU Vol. 14 no 1 January 2018, pp. 24-38.The document and its content has been removed from BRILIANT: Jurnal Riset dan Konseptual, and reasonable effort should be made to remove all references to this article.
Lightweight RC4 Algorithm

As a significant number of applications in mobile transactions and wireless sensor networks are characterized by short duration sessions, security issues turn into a focal concern.&#x0D; RC4 algorithm is a standout amongst the most broadly utilized stream ciphers which locates its application in numerous security conventions, for example, Wired Equivalence Privacy (WEP) and Wi-Fi Protocol Access (WPA).&#x0D; In this paper, we suggest a lightweight variation of the well-known RC4 algorithm that is exceptionally appropriate for resources of computational compelled gadgets and energy in remote systems, when contrasted with RC4 and its variations like, HC128, Grain-128, and so on.,. We propose new PRGA which is replaced the PRGA keystream generation algorithm of RC4.&#x0D; The proposed LRC4 execution is surveyed in terms of randomness test and time under an arrangement of analyses. The trial comes about demonstrate that the resulting stream are random, and the suggested algorithm quicker compared to standard RC4, the results indicate the average of speed improvement is about 54% in both encryption/decryption sides.
ЕЛЕКТРОННІ КВЕСТ-ПОСІБНИКИ У ФАХОВІЙ ПІДГОТОВЦІ МАЙБУТНІХ УЧИТЕЛІВ МАТЕМАТИКИ

One of the priority directions of modernization of the system of teaching staff training in Ukraine is the introduction of modern information and communication technologies into the educational process. This encourages research and pedagogical staff to use the learning tools that helps to present educational material in an interesting and accessible form. One of the tools is electronic learning quest-manual. The electronic educational quest-manual is called an electronic publication, which promotes the intensification of the learning process, the development of students’ creative thinking, formation of their skills to work in the information and communication environment, etc. The article describes the interface and structure of the electronic manual «Matrixes and operations on matrices», built with the use of gaming technologies, elements of educational material and hyperlinks visualization. The structural blocks of the quest-manual are subdivided into the blocks with theoretical material and assessment blocks.The quest manual is developed in accordance with the methods of teaching: consciousness and activity, visual impact, systematic method, method of consistency, scientific and method of accessibility. The content of this pedagogical software tool corresponds to the curriculum and work program for linear algebra for students of the specialty 014.04 Secondary education. Mathematics. It deals with the topic «Concepts and types of matrices», «Properties and operations on matrices». It is established that electronic quests-manuals should be used for students’ independent work and in practical classes. The introduction of this software in the learning process provides access to training for all categories of students, the ability to study at any pace, at any time, accelerate the memory of learning material, save time, etc. It is shown that the introduction of electronic manuals in the process of preparing future mathematics teachers contributes to raising the interest and students’ motivation for studying, developing their information culture and forming readiness for future pedagogical activity, individualization and intensification of the educational process. The article presents the students' feedback on the use of electronic learning tools, in particular quest-guides.
Impact of Authentic Leadership Style on Job Satisfaction: Case of Insurance Sector in Bosnia and Herzegovina

Managing good employees in the current competitive business environment is one of the difficulties an organization is facing in order to accomplish their objectives. Having in mind that employees’ feelings, spirit regarding the job, commitment and engagement are among the biggest factors that should never be overlooked by the organization. All of these factors as well as their reactions to various aspects of the job and organization will seriously affect employees’ performance, involvement and engagement. Organizational leadership is one of the vital factors in all organizations as well as one of the key strategies to accomplish this purpose. This research inspects and tests the influence of authentic leadership style on employees’ satisfaction with their jobs in insurance companies from Bosnia and Herzegovina. Many industries and organizations, in particular the insurance industry, can benefit by this research with different advantages: learn about the enhancement and advantages of authentic leadership, suggestions for workers fulfillment and how authentic leadership can impact employees’ motivation and engagement. Regression analysis was conducted to test the hypothesis. Results indicate that authentic leadership style has significant effect on employees’ job satisfaction.
The Impact of Traditional Direct Marketing on Creating Brand Awareness: Case Study on IKEA in Jordan

This study aims to examine the impact of traditional direct marketing represented by flyer, catalog and direct mail on creating brand awareness for the IKEA group in Jordan. Analytical methodologies were used to conduct this quantitative study. The needed data was collected through a questionnaire distributed to (506) respondents from Jordanian customers in the city of Amman. Data was analyzed by SPSS. Descriptive and analytical analysis were conducted using Cronbach&amp;rsquo;s alpha, ANova multiple and simple regression. &#x0D; &#x0D; The main findings of the study indicate that IKEA group uses the direct marketing tools successfully, disseminates its brand&amp;rsquo;s catalogs and direct mail, these marketing tools achieved brand awareness in the customers&amp;rsquo; minds, where the flyers occupied the first rank followed by catalogs and direct mail respectively. It is recommended that Jordanian companies turn from mass marketing to direct marketing.
PDM Field Study in Collaborative Engineering Education – Results from 2016/17

&lt;span lang="DE"&gt;This work describes the research activities performed in the field of engineering education at Austrian Federal Colleges of Engineering (HTL) in collaboration with both Graz and Vienna Universities of Technology. To support the collaboration process in engineering education, a Product Data Management (PDM) system was introduced to several Austrian HTLs. In the academic year 2016/17, a field study was begun and that will continue in 2017/18 to determine how to enhance collaboration between students by using this kind of software and methods. This paper, which is continuing a paper presented at ICL2017 in Budapest presents the first results, obtained in the academic year 2016/17 of the survey and the impression of the lecturers regarding the level of collaboration within students’ design projects.&lt;/span&gt;
Exploring Web Link Analysis of Websites of Indian Institute of Technology

&#x0D; &#x0D; &#x0D; Web links explore much useful information through densely linked web pages for a specific group of people or people with special research interest. The paper analyses the web link structure for a group of 23 IITs to discover new sources of information. It also discusses the problems of search engines and its limitations in web link analysis. Web link structures of Indian Institute of Technology (IITs) are analysed using SocSciBot4.0 and Pajek4. The paper tries to find out the pattern of hyperlinks among the premier IITs and new IITs separately. The study also covers the historical aspects and approaches of link analysis. Backlinks of IITs are analysed and micro-link topologies are constructed using Pajek. The result shows that more than 90 per cent of backlinks are in English language.&#x0D; &#x0D; &#x0D;
Atrous Convolutional Neural Network (ACNN) for Semantic Image Segmentation with full-scale Feature Maps

Deep Convolutional Neural Networks (DCNNs) are used extensively in medical image segmentation and hence 3D navigation for robot-assisted Minimally Invasive Surgeries (MISs). However, current DCNNs usually use down sampling layers for increasing the receptive field and gaining abstract semantic information. These down sampling layers decrease the spatial dimension of feature maps, which can be detrimental to image segmentation. Atrous convolution is an alternative for the down sampling layer. It increases the receptive field whilst maintains the spatial dimension of feature maps. In this paper, a method for effective atrous rate setting is proposed to achieve the largest and fully-covered receptive field with a minimum number of atrous convolutional layers. Furthermore, a new and full resolution DCNN - Atrous Convolutional Neural Network (ACNN), which incorporates cascaded atrous II-blocks, residual learning and Instance Normalization (IN) is proposed. Application results of the proposed ACNN to Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) image segmentation demonstrate that the proposed ACNN can achieve higher segmentation Intersection over Unions (IoUs) than U-Net and Deeplabv3+, but with reduced trainable parameters.
The Global Solar Radiation in the Southern Region of Ecuador

In this work an approach to the theoretical solar radiation in the South Region of Ecuador is presented, using the Hottel Model ([1] [2]), considering the cloudiness and the topography Shadows.The maps of Global Solar Radiation are shown for the months of January, August and Annual one, considering the heights over the middle sea level extracted of the Digital Elevation Model.This work will allow specialists and engineers to know the most favorable areas for the location of photovoltaic or photothermic plants in the southern region of Ecuador.The effects have been analyzed by the orography and the methods used were discussed.The role of the orography is analyzed to improve the values' product of the modeling of the solar radiation.Conclusions and recommendations are given.
PAI-FCNN

We describe the FPGA subsystem of the Platform of Artificial Intelligence (PAI) in Alibaba Group, called PAI-FCNN. PAI-FCNN plays the role of a heterogeneous back-end for CNN inference, together with other CPU, GPU and ASIC subsystems in PAI. Driven by various business needs, we built PAI-FCNN from scratch since two years ago. We present our experience from FPGA/compiler design and implementation, to system evaluation and deployment. In particular, in order to address three practical challenges: (1) Efficient processing for diverse operators and model structure such as Deconv, Dilated Conv, Up-sampling, PReLu and Concatenation. (2) Serving multiple highly-different models on single FPGA hardware. (3) Competitive performance with alternative GPU or ASIC solutions, we extensively perform joint software & hardware design to optimize system efficiency across multiple CNN models, which includes model reconstruction in compiler software and flexible data access in data-flow CNN processor. We also incorporate reduced precision and model retraining to boost system capacity. Using U-net as an example, on Xilinx KU115 chip, with the help of 74.9% efficiency on Int16-precision hardware (with 3.226TOPS capacity) and 72.9% efficiency on mixed-int8/int3-precision hardware (with 14.746TOPS capacity), we achieve slightly better throughput and 2X higher power efficiency than P4.
Noise-resistant matching algorithm integrating regional information for low-light stereo vision

Low-light stereo vision is a challenging problem because images captured in dark environment usually suffer from strong random noises. Some widely adopted algorithms, such as semiglobal matching, mainly depend on pixel-level information. The accuracy of local feature matching and disparity propagation decreases when pixels become noisy. Focusing on this problem, we proposed a matching algorithm that utilizes regional information to enhance the robustness to local noisy pixels. This algorithm is based on the framework of ADCensus feature and semiglobal matching. It extends the original algorithm in two ways. First, image segmentation information is added to solve the problem of incomplete path and improve the accuracy of cost calculation. Second, the matching cost volume is calculated with AD-SoftCensus measure that minimizes the impact of noise by changing the pattern of the census descriptor from binary to trinary. The robustness of the proposed algorithm is validated on Middlebury datasets, synthetic data, and real world data captured by a low-light camera in darkness. The results show that the proposed algorithm has better performance and higher matching rate among top-ranked algorithms on low signal-to-noise ratio data and high accuracy on the Middlebury benchmark datasets.
COMPUTER - AIDED LEARNING SYSTEM FOR SAN JOSE ELEMENTARY SCHOOL G.M.A., CAVITE

People use the computer; most of these are young people who love to play games on the computer. The computer does not only give information or search for an answer to our questions; it also provides pleasure that can be seen while using the computer, just like a television equipped with a keyboard and mouse. This study focuses on the utilization of computers as learning aide for children from grades 1-3, which includes those levels that have the minimal reading ability as the system is interactive and the graphical user interface suits the primary end users’ needs. The system includes learning modules adapted to the school’s curriculum and resources, educational games, learning assessments and function for generation of progress reports.
Regional attention generative adversarial network

In this Letter, the authors propose a novel attention mechanism combined with a classical generative adversarial network (GAN) model to improve the visual quality of generated samples. This novel attention model is named regional attention GAN. The proposed mechanism can build dependencies between the high-level representations extracted from attention regions of real images and corresponding feature maps of the generative network. By modelling these dependencies, the generative network can be facilitated to learn feature mapping and fit the distribution of real data. They conduct extensive experiments on widely used datasets CIFAR-10, STL-10, and CelebA. The quantitative and qualitative performance improvement over state-of-the-art methods demonstrates the validity of the proposed attention mechanism in improving the quality of generated images.
Efektivitas Layanan Informasi Karier untuk Meningkatkan Perencanaan Karier Siswa SMA

THE EFFECTIVENESS OF CAREER INFORMATION SERVICES TO IMPROVE CAREER PLANNING FOR HIGH SCHOOL STUDENTS. High School Education aims to prepare students who will continue their education to a higher level, while preparing students who will work immediately if they have completed their education in high school. Experiencee in the field shows that there are still many students who are confused about choosing the department (study program) to be entered, especially for high school students. The purpose of this study was to determine the effectiveness of information services to improve career planning for students of SMA Negeri 1 Nglames. The sampling technique used was purposive sampling. This research was conducted at SMA Negeri 1 Nglames with pre-experimental design research design. Data collection techniques use a psychological scale that is the scale of career planning. Data analysis techniques using t-test. The results showed effective information services to improve career planning proved after a hypothetical test with the t-test analysis technique of the value of asympsig (2-tailed)/asympiotic significance 0.000, it can be concluded that information services to improve career planning of students of SMA Negeri 1 Nglames Kabupaten Madiun.