Reviewerly/exHarmony huggingface dataset:
M E D I A: DESIGNING A MODEL OF IFL LEARNING MATERIALS FOR FOREIGN WORKERS

Communication gap because of linguistic difference and unavailability of specific learning materials become a problem of foreign workers working in Indonesia. A specific research that develops IFL learning materials to overcome these problems is needed. This study aims to develop and improve the quality of available IFL materials. Methodology used here is Research and Development, combining quantitative-qualitative approaches. The result of this study is: 1) M E D I A as a new framework learning materials with humanistic approach that presents multicultural domestic foreign workers’ characters bound by a shared narrative on linguistic problems within business communication realm; and 2) M E D I A as mnemonic technique to embody those multicultural characters and values into teaching materials’ books namely BIPA Business Communication. High-scoring of colleagues’ evaluation and experts’ validation confirms that the IFL is highly recommended to use. Having been implemented in large-scale class through Indonesian Proficiency Test (IPT), current study achieves effectively testing result which shows that this model of IFL learning materials is effective to use because it helps to improve the language skill of students.
IDENTIFICATION OF DIGITAL EVIDENCE FACEBOOK MESSENGER ON MOBILE PHONE WITH NATIONAL INSTITUTE OF STANDARDS TECHNOLOGY (NIST) METHOD

Facebook Messenger is a popular social media. The increasing number of Facebook Messenger users certainly has a positive and negative impact, one of the negative effects is being used for digital crime. One of the sciences to get digital evidence is to do Digital forensics. Digital forensics can be done on a smartphone used by criminals. This research will carry out as much evidence of digital crime as possible from Facebook Messenger. In this study the forensic devices, Magnet AXIOM and Oxygen Forensics Suite 2014 were used using the National Institute of Standards Technology (NIST) method. NIST has work guidelines for both policies and standards to ensure that each examiner follows the same workflow so that their work is documented and the results can be repeated and maintained. The results of the research in the Magnet AXIOM and Oxygen Forensics Suite 2014 get digital evidence in the form of accounts, conversation texts, and images. This study successfully demonstrated the results of an analysis of forensic devices and digital evidence on Facebook Messenger. The results of the performance evaluation of forensic tools in the acquisition process using AXIOM Magnets are considered the best compared to Oxygen Forensics Suite 2014.
Sculpting out quantum correlations with bosonic subtraction

The indistinguishability of particles is an important feature of quantum mechanics. To account for indistinguishability, identical particles are described as inherently correlated. In this paper we study a method of transforming these correlations into operationally accessible entanglement with single-particle subtractions. We provide specific protocols to turn the bosonic symmetrization into various classes of entanglement. Moreover, we explain why analogous schemes cannot work for fermions. These results provide a new perspective on manipulating quantum states with heralded subtraction.
The effects of larynx height on vowel production are mitigated by the active control of articulators

The influence of larynx position on vowel articulation is an important topic in understanding speech production, the present-day distribution of linguistic diversity and the evolution of speech and language in our lineage. We introduce here a realistic computer model of the vocal tract, constructed from actual human MRI data, which can learn, using machine learning techniques, to control the articulators in such a way as to produce speech sounds matching as closely as possible to a given set of target vowels. We systematically control the vertical position of the larynx and we quantify the differences between the target and produced vowels for each such position across multiple replications. We report that, indeed, larynx height does affect the accuracy of reproducing the target vowels and the distinctness of the produced vowel system, that there is a “sweet spot” of larynx positions that are optimal for vowel production, but that nevertheless, even extreme larynx positions do not result in a collapsed or heavily distorted vowel space that would make speech unintelligible. Together with other lines of evidence, our results support the view that the vowel space of human languages is influenced by our larynx position, but that other positions of the larynx may also be fully compatible with speech.
The Mediating Role of Knowledge Sharing Between Organizational Culture and Innovation in Syrian Public and Private Universities

Prior literature has pointed out that organizational culture is an important factor affecting knowledge sharing and enhanced innovation in an organization.However, there is a lack of models linking organizational culture, knowledge sharing, and innovation at universities within developing countries, particularly Syria.The purpose of this study was to examine the mediating role of knowledge sharing on the relationship between organizational culture and innovation of the teaching staff in Syria public and private universities.The quantitative method was used in data collection.A random sampling technique was conducted which comprised of 334 valid responses to test the causal relationship between organizational culture, knowledge sharing, and innovation.PLS-SEM technique was used to analyze the direct and indirect relationships between the variables in this study.The results of the study indicated that there was a significant relationship between organizational culture and Knowledge sharing.The results show that there was a significant relationship between organizational culture and innovation.Findings had revealed that the indirect effect of organizational culture on innovation through knowledge sharing.
MODEL PREDIKSI CURAH HUJAN HARIAN MENGGUNAKAN JARINGAN SYARAF TIRUAN BACKPROPAGATION

Weather is an atmospheric condition that occurs in a narrow area with a short space of time. Observations of weather elements are needed in everyday life. for it can affect the safety of air transportation. The weather element that is often predicted is rainfall. Rainfall in tropical regions such as Indonesia is one of the parameters that can describe weather conditions in general. The method used to predict rainfall was artificial neural network with backpropagation algorithm. The purpose of this paper is to apply the model of artificial neural networks with backpropagation algorithm to predict daily rainfall and to determine prediction accuracy based on Mean Square Error (MSE). The network used has 3 layers namely input layer. hidden layer. and output layer with 7 input neurons, 12 hidden neurons, and 1 output neuron. The activation function used were bipolar sigmoid function and linear function. Based on data analysis carried out using network architecture and parameters that had been determined with 578 data at the training stage. MSE values of 25,0639 was obtained and based on the results of the network training process. the prediction was quite well. In the testing stage. the model developed using data as much as 145. MSE value of 405,1994 was obtained. MSE obtained during the testing stage was greater than that of obtained during the training process due to several factors. one of them is because the weather is volatile so the weather conditions vary every year and global warming causes weather conditions to be unpredictable.
One More Step Towards Well-Composedness of Cell Complexes over nD Pictures

An nD pure regular cell complex K is weakly well-composed (wWC) if, for each vertex v of K, the set of n-cells incident to v is face-connected. In previous work we proved that if an nD picture I is digitally well composed (DWC) then the cubical complex Q(I) associated to I is wWC. If I is not DWC, we proposed a combinatorial algorithm to “locally repair” Q(I) obtaining an nD pure simplicial complex $$P_S(I)$$ homotopy equivalent to Q(I) which is always wWC. In this paper we give a combinatorial procedure to compute a simplicial complex $$P_S(\bar{I})$$ which decomposes the complement space of $$|P_S(I)|$$ and prove that $$P_S(\bar{I})$$ is also wWC. This paper means one more step on the way to our ultimate goal: to prove that the nD repaired complex is continuously well-composed (CWC), that is, the boundary of its continuous analog is an $$(n-1)$$ -manifold.
A LINEAR COMPLEXITY ANALYSIS OF QUADRATIC RESIDUES AND PRIMITIVE ROOTS SPACINGS

We investigate the linear complexities of the periodic 0-1 infinite sequences in which the periods are the sequence of the parities of the spacings between quadratic residues modulo a prime p, and the sequence of the parities of the spacings between primitive roots modulo p, respectively. In either case, the Berlekamp-Massey algorithm running on MAPLE computer algebra software shows very good to perfect linear complexities.
Construction of the Uyghur Noun Morphological Re-Inflection Model Based on Hybrid Strategy

In this paper, a hybrid strategy of rules and statistics is employed to implement the Uyghur Noun Re-inflection model. More specifically, completed Uyghur sentences are taken as an input, and these Uyghur sentences are marked with part of speech tagging, and the nouns in the sentences remain the form of the stem. In this model, relevant linguistic rules and statistical algorithms are used to find the most probable noun suffixes and output the Uyghur sentences after the nouns are re-inflected. With rules of linguistics artificially summed up, the training corpora are formed by the human–machine exchange. The final experimental result shows that the Uyghur morphological re-inflection model is of high performance and can be applied to various fields of natural language processing, such as Uyghur machine translation and natural language generation.
Advection-Enhanced Gradient Vector Flow for Active-Contour Image Segmentation

In this paper, we propose a new gradient vector flow model with advection enhancement, called advection-enhanced gradient vector flow, for calculating the external force employed in the active-contour image segmentation.The proposed model is mainly inspired by the functional derivative of an adaptive total variation regularizer whose minimizer is expected to be able to effectively preserve the desired object boundary.More specifically, by incorporating an additional advection term into the usual gradient vector flow model, the resulting external force can much better help the active contour to recover missing edges, to converge to a narrow and deep concavity, and to preserve weak edges.Numerical experiments are performed to demonstrate the high performance of the newly proposed model.
Optimization design and crash-worthiness analysis of tank made of aluminum foam sandwich

In order to improve the energy efficiency, environmental protection and safety of the tank, a tank car body was designed as a prototype for the design of foam aluminum sandwich tank body. And then the static performance and Crash-worthiness of the prototype tank body were analyzed by finite element method. The mass, energy abosorption and acceleration of the main parameters of tank strength were analyzed by the MOGA method in Workbench goal-driven optimization, with the results of analysis as constraint conditions. Finally, by confirmed the optimized tank, and the results showed that the static performance and crash-worthiness of foam aluminum sandwich tank body are significantly improved and the mass is reduced, compared with the prototype structure tanker tank. which prove that foam aluminum sandwich tank body in improving the energy efficiency of tankers, environmental protection, especially the effectiveness of security.
Numerical Investigation into the Air Flow Distributions of the Air Conditioning System in the Modular Data Center

Data center plays an increasingly important role in everyday life.As data center is becoming more and more powerful, energy consumption is also increasing dramatically.The air conditioning system occupies at least 50 percent of the total energy consumption.Therefore, delicate analysis on the air conditioning system could help to reduce energy consumption in data center.An advanced Finite Volume Method with RNG k-ε model and convective heat exchange model is used in this paper to study the airflow and the temperature distribution of modular data center under different arrangements.Specifically, the calculation formula of convective heat transfer coefficient for plate flow is adopted to simplify analysis; and fans on the back of racks are simplified to be walls with a certain pressure jump.Simulations reveal that, in the case where air conditioners are arranged face-to-face, the temperature distribution on the back of racks is not uniform, and local high temperature points emerge near the side wall of air conditioners.By analyzing the distribution of air flow and temperature, geometric model is optimized by using a diagonal rack arrangement and drilling holes on the side wall.In the same energy consumption situation, the overall maximum temperature of the optimized model is reduced by 2.3 • C compared with that of the original one, and the maximum temperature on the server surface is reduced by 1 • C. Based on the optimized model, the effect of the hot aisle distance on the temperature distribution is studied.By simulating four different cases with various distances of hot aisle of 100cm, 120cm, 130cm and 150cm, it is found that the temperature is generally lower and distributed more evenly in the case with 120cm hot aisle distance.This demonstrates that the distance of hot aisle has an effect on temperature.
СТРУКТУРНО-ФУНКЦІЙНА МОДЕЛЬ ІНФОРМАЦІЙНО-ОСВІТНЬОГО СЕРЕДОВИЩА УНІВЕРСИТЕТУ

One of the ways to solve the problem of preparing competitive graduates of the University is to create an effective information and educational environment. At the present stage, such an environment should include the means of realization of educational, scientific and management activities; support environment for collective and individual communication; objects of educational activity and interaction; training platforms and security tools. Taking into account the requirements for ensuring not only the functioning but also the system development of the university, the general principles of management and the principles of the development of educational systems as the guiding principles of designing the information and education environment we are guided by the principles: system approach; modular structuring of information and data; modifications, addition and permanent updates; adequacy; providing the necessary and sufficient information; sharing data. A prerequisite for the creation of the university's information and educational environment is the availability of electronic content, technologies and the electronic communication of all participants in the educational process. Modeling a qualitative and effective information and educational environment is possible only with the development of all its components - managerial, content, organizational, technological. To the managerial component, we include educational policy, management standards and electronic control that perform planning, organizational, motivational and controlling functions. The semantic component includes scientific, educational, controlling and information and methodological resources that are aimed at providing cognitive, creative and value functions. Organizational component contains, respectively, the organizational structure, normative base, corporate standards and performs the integration, systematization and information functions. In the technological component, we allocate centralized and decentralized services, which are aimed at implementation of modeling, productive and instrumental functions. An example of designing such a model is an effective information and educational environment aimed at training competitive specialists at the Borys Grinchenko Kyiv University.
Fully Secure Decentralized Ciphertext-Policy Attribute-Based Encryption in Standard Model

In this paper, we introduce a new multi-authority ciphertext policy attribute-based encryption (MA-CP-ABE) system. In our system, there are multiple central authorities (CAs) and attribute authorities (AAs). The CAs will not need to coordinate or even be aware of each other, and so do the AAs. In particular, we present two constructions that will be proved secure in the standard model. Our first scheme is fully secure under static assumptions in composite-order bilinear group, and can work for any monotone access structure. The second one achieves constant size ciphertexts for AND-gate policy in prime-order group. The security can be proved under the decisional linear (DLIN) assumption.
Data-Centric UML Profile for Wireless Sensors

Modelling WSN data behaviour is relevant since it would allow to evaluate the capacity of an application for supplying the user needs, moreover, it could enable a transparent integration with different data-centric information systems. Therefore, this article proposes a data-centric UML profile for the design of wireless sensor nodes from the user point-of-view capable of representing the gathered and delivered data of the node. This profile considers different characteristics and configurations of frequency, aggregation, persistence and quality at the level of the wireless sensor nodes. Furthermore, this article validates the UML profile through a computer-aided software engineering (CASE) tool implementation and one case study, centred on the data collected by a real WSN implementation for precision agriculture and smart farming.
Silicon Photonic MEMS: Exploiting Mechanics at the Nanoscale to Enhance Photonic Integrated Circuits

With the maturing and the increasing complexity of Silicon Photonics technology, novel avenues are pursued to reduce power consumption and to provide enhanced functionality: exploiting mechanical movement in advanced Silicon Photonic Integrated Circuits provides a promising path to access a strong modulation of the effective index and to low power consumption by employing mechanically stable and thus non-volatile states.In this paper, we will discuss recent achievements in the development of MEMS enabled systems in Silicon Photonics and outline the roadmap towards reconfigurable general Photonic Integrated Circuits.
Virtual Touch Sensor Using a Depth Camera

In this paper, a virtual touch sensor using a depth camera is proposed. Touch regions are detected by finding each region that consists of pixels within a certain distance from a touch surface. Touch points are detected by finding a pixel in each touch region whose neighboring pixels are closest to surfaces. A touch path error due to noise in the depth picture is corrected through a filter that introduces a weight parameter in order to respond quickly even with sudden changes. The virtual touch sensor is implemented by using the proposed methods for the touch point detection and the touch path correction. In the virtual touch sensor, a touch surface and pixels of a depth picture can be regarded as a virtual touch panel and virtual touch units, respectively. The virtual touch sensor can be applied to wide fields of touch interfaces. Results of simulations show the implementation of the touch-pen interface using the virtual touch sensor.
AirMouse: Turning a Pair of Glasses Into a Mouse in the Air

This paper introduces a novel hand-free human-computer interaction system called AirMouse, which turns a common pair of glasses into a mouse to enable the interaction between computers and humans, especially for disabled people. The basic idea is to simulate mouse operations with head activities without using hands. To this end, an embedded device is attached to a pair of glasses, which leverages the gyroscope to accurately detect head activities and map them to corresponding mouse operations on devices (e.g., computers and smart TVs). In particular, AirMouse uses activities to simulate mouse operations instead of tracking the gaze or the head movements in the real-time manner. This provides flexibility to users allowing them to control devices even far away or not at front of the devices. We implement a prototype of AirMouse with the personalized pretraining module and the motion detection module, which is featured with low-cost, accurate, easy-to-use and real-time interaction, and evaluate AirMouse with 20 volunteers. The experimental results show that AirMouse achieves accurate, reliable, and real-time activity recognition and interaction. Specially, the technique of AirMouse can be integrated into wearable devices (e.g., smart glasses) to enrich their interaction functionalities.
Haze Image Recognition Based on Brightness Optimization Feedback and Color Correction

At present, the identification of haze levels mostly relies on traditional measurement methods, the real-time operation and convenience of these methods are poor. This paper aims to realize the identification of haze levels based on the method of haze images processing. Therefore, this paper divides the haze images into five levels, and obtains the high-quality haze images in each level by the brightness correction of the optimization solution and the color correction of the feature matching. At the same time, in order to reduce the noise of the haze images, this article improved the Butterworth filter. Finally, based on the processed haze images, this paper uses the Faster R-CNN network to identify the haze levels. The results of multiple sets of comparison experiments demonstrate the accuracy of the study.
Analysis of an Intelligent Graphical Tutoring System using the Internet of Things (IoT) to Develop the Competency of Embedded Systems

&lt;p class="0abstract"&gt;The objectives of this research are to analyse and assess an intelligent graphical tutoring system using the internet of things (IoT) to develop the efficiency of embedded systems. The research findings suggest that an intelligent system is composed of six modules: 1) student, 2) graphical tutoring, 3) expert, 4) knowledge, 5) evaluation and 6) user interface. The result of a composition assessment performed by experts indicates that the overall results are at a high level. The system suitability scored the highest level which can be applied to real life situations.&lt;/p&gt;
Internet of Things and Sensor Networks

The articles in this special section focus on the relationship between sensor networks and the Internet of Things (IoT). The IoT constitutes one of the fastest growing market segments in today’s economy as it continues to accommodate an increasing variety of our daily situations. This trend goes far beyond integrating sensors, actuators, and wearable gadgets into the IoT fabric to further incorporate more intelligent IoT devices such as connected cars, drones, and factory robots. Over the next decade, we may also see our everyday furniture, food containers, and even paper documents accessing the Internet. Hence, we are only beginning to witness the true explosive growth of the IoT, with tens of billions of total connections expected within the coming years, aggregated over diverse radio communication architectures and protocols. Alongside this transformation, the present Series aims to highlight the unprecedented variety of important IoT applications and services.