Reviewerly/exHarmony huggingface dataset:
RANCANG BANGUN MESIN PENGADUK ADONAN AMPIANG

Ampiang or crackers ampiang is typical of Bangka original food made from tapioca, fish, pure water, salt and food flavorings. In the process of making ampiang, there is an obstacle, that is in the process of mixing spices, fish and flour. Mixing or stirring the dough by hand by rotating the dough until the dough is ready to be used takes a long time. To overcome the above problems researchers made kneading ampiang horizontal type with a capacity of 10 kg. The purpose of the research is to get the dough mixing uniformity percentage of 100% and 100% increased production time. The stages of the research are the of collecting data through surveys, questionnaires, interviews, and literature. The next step is data process, manufacture and selection of alternative concept, tool making and assembling, testing and analysis. In making the selection of alternative concepts and decided machine made with size 99 x 66 x 90 cm, using the motor 1PK and design mixer horizontal type. The results show the machine is capable to knead the 10 Kg dough of ampiang in 3 minutes and dough mixing uniformity percentage of 100%.
FILM SEBAGAI KOMUNIKASI PENDIDIKAN BAHASA INGGRIS SMAN 1 MAKASSAR

his article describes film as an educational media for English, in elective english class at SMA Negeri 1 Makassar. This research uses qualitative approach, using Single case research method. Data collection is done by observation, interview, and documentation. Data analysis method consists of data reduction, data presentation, and data verification. The results of the research described in this article show that the film has been used in the teaching and learning process at SMA Negeri 1 Makassar since 2014. The film is used as a medium to deliver English subjects narrative text material, Recount Text, and Review Text. Film as a medium of Educational Communication chosen by teachers not only achieves 4 components of the ability that students want to achieve, namely reading, writing, listening, and speaking, other aspects obtained by students through the implementation of films, namely (1) richer vocabulary, (2) the use of more appropriate expression or body language, (3) the ability to translate, and (4) confidence. In addition, since the use of film as its educational media, students of SMA Negeri 1 Makassar have achieved achievements in the field of English.
Segmented Reverse Concatenation: A New Approach to Constrained ECC

In this work, a new coding scheme called segmented reverse concatenation is described, which generates constrained codes that can also correct a prescribed number of errors. Our codes are based upon the generalized reverse concatenation method; however, the key difference between our scheme and prior art is that in our scheme the redundancy symbols of the code are able to be partitioned into disjoint segments, each of which requires only a single parity bit to maintain the minimum distance of the code. We consider three potential applications of the new technique, and it is shown that in all three cases our approach improves upon prior art. Our scheme can be applied to many setups, although it is particularly well-suited for scenarios where the constrained encoder has a high information rate.
An Efficient Routing in Wireless Sensor Network: An Application of Grey Wolf Optimization

This study investigates a wireless sensor network to determine an optimal path from source node to destination node while minimizing energy consumption during data transmission. To this end, the problem is formulated as Mixed Integer Programming Problem and solved using Simple Branch and Bound Algorithm. Model variants is also developed to gain crucial insights into the problem structure by considering network dynamics and uncertainty. This allows to focus on key problem aspects such as minimization of energy consumption, improvement of transmission delays, and prevention of network failures. A modified Grey Wolf Optimization technique is developed to solve 30 large size problems with 50, 100, and 200 sensor nodes. Results obtained suggest that the Grey Wolf Optimizer is scalable, robust and efficient, when obtaining optimal solutions in a resource constraint environment.
Fast simulation of quantum algorithms using circuit optimization

Classical simulators play a major role in the development and benchmark of quantum algorithms and practically any software framework for quantum computation provides the option of running the algorithms on simulators. However, the development of quantum simulators was substantially separated from the rest of the software frameworks which, instead, focus on usability and compilation. In practice, simulators are considered just one of many possible backends. Here, we demonstrate the advantage of co-developing and integrating simulators and compilers by proposing a specialized compiler pass to reduce the simulation time for arbitrary circuits. While the concept is broadly applicable, we present a concrete implementation based on the Intel Quantum Simulator, a high-performance distributed simulator. As part of this work, we extend its implementation with additional functionalities related to the representation of quantum states. The communication overhead is reduced by changing the order in which state amplitudes are stored in the distributed memory, a concept analogous to the distinction between local and global qubits for distributed Schroedinger-type simulators. We then implement a compiler pass to exploit the novel functionalities by introducing special instructions governing data movement as part of the quantum circuit. Those instructions target unique capabilities of simulators and have no analogue in actual quantum devices. To quantify the advantage, we compare the time required to simulate random circuits with and without our optimization. The simulation time is typically halved.
Bitcoin and Ethics in a Technological Society

Bitcoin came into existence as a peer-to-peer payment system for use on online transactions. This achievement was the result of a shared vision about the future relationship between governments’ control and citizenry, and the collaborative work of the many who contributed to the development of the cryptographic field. This innovation and its underlying technology, the blockchain, have been at the root of a change of paradigm, as the joint use of blockchain and artificial intelligence (AI) seed the next technological revolution. However, as it is often the case, these revolutionary inventions have also been met with skepticism in the financial sector and society at large. Using the case of Bitcoin and the blockchain, this paper analyzes the intersection between the philosophy and technology underlying these innovations, and the outlook of a sector of society who fears these developments while others try to profit. In this chapter, we first look at the history of Bitcoin together with that of those behind it. We then review the mixed reception it obtained after coming to the market. We assess the innovations’ properties and confront these with the needs of a society eager to obtain further clarity and enjoy more transparency in matters of relevance to their participation in democratic processes.
Fuentes cartográficas : una oportunidad cognitiva para el desarrollo de competencias en pensamiento histórico en educación básica y media en Colombia

The following research develops a balance, diagnosis and a series of recommendations for the competence development in the historical thinking in the basic and high school in Colombia through the cartographic and historical sources and digital narrative. Therefore, the importance of this interdisciplinary and interinstitutional research is fundamental, reason why the suggestions are mainly focus on the archive, institution among its multiple functions keeps the documental countries heritage and which in the last decades has developed cultural dynamization politics to offer educative services that can get the people close to the sources that are organized and managed there.
A Compact Network Using Attention Mechanism for Image Super Resolution

With the emergence of the 2K/4K Ultra High-Definition (UHD) videos super-resolution, single image super resolution based on convolutional neural networks (CNNs) is a critical method to transfer Standard Definition (SD) videos to High Definition (HD) videos. However, the state-of-the-arts methods rely on a deeper or wider network, which poses a challenge in computational complexity and memory consumption. To address this problem, we proposed a compact super-resolution framework using refined features. In addition, an attention channel sorted split (ACSS) module was proposed to significantly improve the performance of super-resolution (SR). Especially, the ACSS module can make the network pay more attention to transfer features from coarse to fine. The experimental results show that our proposed method is efficient and effective.
A Study on the Overflow Probability of Variable-to-Fixed Length Codes

The overflow probability (i.e., the probability that the empirical compression rate exceeds a given threshold) of variable-to-fixed length codes is studied. Particularly, (i) the optimum threshold such that the overflow probability is asymptotically bounded by a given constant, and (ii) the optimum exponent of the overflow probability for a given threshold are investigated.
Data Exchange Technology Across Networks Based on Trusted Computing

The authors analyze the existing technologies in the field of cross-network data exchange and their deficiencies in ensuring the safe transmission of data. We propose a technology to improve the security of data exchange across networks, which is based on trusted computing. We design an audit method of the data exchange to prevent the leakage of sensitive information, investigate the subject of the leak and ensure the integrity of the data transmission. We have proved the credibility of the method and the ability of data security protection in the process of cross network data exchange, by protecting data files and applications.
GAMIFICATION OF ICEBREAKING ACTIVITIES FOR MECHANICAL ENGINEERING STUDENTS EMBARKING ON A PROBLEM BASED LEARNING MODULE

When they enter the workforce engineering graduates must be able to engage collaboratively with others to find solutions to complex engineering challenges. This involved a great deal more than simply solving the technical problems traditionally taught in engineering school. The Mechanical Engineering Discipline in Technological University Dublin (TU Dublin) has helped students develop real-world engineering skills through team based Problem Based Learning (PBL) modules since 2005. One of these modules, involving third year students, can be particularly challenging since participants can join the third year of the program from other programs or universities and many will not have known each other prior to taking the module. Coming to the module with different prior learning experiences these undergraduate engineering students must engage collaboratively with each other when they undertake the team-based design project. Over several years the authors have developed an icebreaker game which encourages students to get to know each other. The session, conducted over 3 hours, welcomes the students and helps them comfortably interact with each other and with the facilitators. This paper describes the development of this activity through the integration of gamification design elements. It goes on to explain how the students must reflect on their experience in this session and how these reflections are then used to frame and scaffold their work for the rest of the module as they consider how to best plan, design, build, and test real machines within the constraints of a strict budget and time limit.
JPEG column: 82nd JPEG meeting in Lisbon, Portugal

JPEG has been the most common representation format of digital images for more than 25 years. Other image representation formats have been standardised by JPEG committee like JPEG 2000 or more recently JPEG XS. Furthermore, JPEG has been extended with new functionalities like HDR or alpha plane coding with the JPEG XT standard, and more recently with a reference software. Another solutions have been also proposed by different players with limited success. The JPEG committee decided it is the time to create a new working item, named JPEG XL, that aims to develop an image coding standard with increased quality and flexibility combined with a better compression efficiency. The evaluation of the call for proposals responses had already confirmed the industry interest, and development of core experiments has now begun. Several functionalities will be considered, like support for lossless transcoding of images represented with JPEG standard.
Sex, Language, and Financial Inclusion

Reference to gender in language can lead individuals to draw distinctions between genders and reinforce traditional views of gender roles. To test our hypothesis that language gender-marking exerts an influence on the gender gap in financial inclusion, we draw on data for 117 countries in the World Bank’s Global Findex database and perform logit estimations at the individual level. We find the gender gap in the probability of owning a formal account, having access to a formal credit, as well as having savings in a formal financial institution is higher for countries with gendered languages than for countries with genderless languages. These findings are confirmed in robustness checks that control for alternative measures of culture and estimations at the country level.
Coding Theorems on the Simple Capacity for Digital Fingerprinting Codes

Digital fingerprinting codes provide a method to protect licensed digital contents against illegal redistribution. We focus on the situation where two malicious users collude and generate an overwritten codeword by using a memoryless collusion channel. We investigate coding theorems for the digital fingerprinting codes using a simple decoder such that each user is judged as malicious or innocent from an overwritten codeword together with his/her codeword. We first discuss the case where the collusion channel is known. We give a formula of the simple capacity. Next, we consider the case where the collusion channel is unknown. We succeed in giving the formula of a simple capacity of this case as well.
A Novel Hand Gesture Recognition System

Aims to recognize static hand gestures and track fingertips in real time, a single camera based gesture recognition method is proposed in this paper. First of all, difference of the two neighbor frames is computed to remove the influence of background. Key points brightness and geometry constrain is considered to get the locations of the possible fingertip candidates in ROI. In second step, the classify decision is made by a random tree classifier. And the processing of locating and racking the fingertips is by mean shift method. In the experiment, six different hand gestures and their meanings are defined which are swipe left(page up), swipe right(page down), thumb up(volume up), thumb down(volume down), open palm(open) and making fist(close) to control the device. Recognize all the possible pattern and then track the shape of trajectory and make the instruction in time. The results demonstrate that the proposed method can solve the problem in time and avoid the influence of the complex background.
Embedded System for Fall Detection in Activities of Daily Living ADLs: A Time Window Analysis

According to the world health organization (WHO), the falls are the second cause of death worldwide related with unintentional injuries, affecting mainly adults over 65 years old. In this article, a portable embedded system is developed through the use of a 32-bit microcontroller and an inertial sensor, that is used for three activities of daily living (ADLs) detection: falls, walking and stationary state. In embedded systems the amount of data to be processed (time window) affects directly the response time and define the features of the hardware to be selected and used. Within a different time windows, the accelerometer signals $$a_{x} ,a_{y} ,a_{z}$$ are acquired in order to calculate the acceleration module over the time. By the use of descriptive statistics, this module will provide features as: mean, median, variance, 25th percentile and asymmetry in order to be used in the Naive Bayes classifier, which was selected based on a previous work. The system has wireless communication to send information from the detected ADLs to the PC for test purposes. The device was carried by 6 people on the waist, who carried out the tests of the different ADLs. System accuracy is between 60% and 82% with processing times between 0.5–1.35 ms depending of the time window size. For the offline training of the Naïve Bayes algorithm, the Data Set of the Institute of Communications and Navigations is used, corresponding to samples of 16 male and female subjects between 23 and 50 years old.
Studentpreneur Innovative Behavior

Innovative behavior is very important for students, especially studentpreneur, because innovative behavior plays an important role in the student entrepreneurial process.This study aims to analyze the extent to which internal factors such as creativity can encourage innovative behavior, and examine the impact of creativity in moderating the impact of perceived university support on innovative behavior.This study was tested on student entrepreneurs in the university entrepreneurship community spread across the city of Semarang, with a total sample of 164 through a questionnairebased survey method and using the Warp PLS SEM analysis method.The results showed that either perceived university support or creativity had an impact on innovative behavior, and creativity was also significant in moderating the effect of perceived university support on innovative behavior.Therefore, in the future, it is necessary to have a higher education curriculum to pay more attention to the outcome of creativity than just the element of knowledge because of its significant impact in increasing innovative behavior.
A Multilevel Image Thresholding Method Using the Darwinian Cuckoo Search Algorithm

Image segmentation is a prime operation to understand the content of images. Multilevel thresholding is applied in image segmentation because of its speed and accuracy. In this paper, a novel multilevel thresholding algorithm based on Cuckoo search (CS) is introduced. One of the major drawbacks of metaheuristic algorithms is the stagnation phenomenon which leads to a fall into local optimums and premature convergence. To overcome this shortcoming, the idea of Darwinian theory is incorporated with CS algorithm to increase the diversity and quality of the individuals without decreasing the convergence speed of CS algorithm. A policy of encouragement and punishment is considered to lead searching agents in the search space and reduce the computational time. The algorithm is implemented based on dividing the population into specified groups and each group tries to find a better location. Ten test images are selected to verify the ability of our algorithm using the famous energy curve method. Two popular entropies criteria, Otsu and Kapur, are employed to evaluate the capability of the introduced algorithm. Eight different search algorithms are also implemented and compared with our method. Experimental results manifest that DCS is a powerful tool for multilevel thresholding and the obtained results outperform the CS algorithm and other heuristic search methods.
Influence of verbal, auditory and visual incentives on art perception and reception of primary school students

&amp;lt;p&amp;gt;Introduction. Art reception and experiencing is a complex process, containing creative components. The experience of a work of art involves reproduction, in the viewer's consciousness, of the experiences and excitement that the artist himself or herself have undergone in the process of creating the same works of art. When viewing visual images, our perception is directed towards the identification of objects, and when viewing visual images as works of art, we also tend to experience them - we subjectively react to elements, such as stylistic and structural characteristics. The aim of the research is to examine the effectiveness of the experimental program named the Impact of Verbal, Auditory and Visual Incentives, designed to foster students' visual perception and visual reception during art education. Methods. The experimental method with parallel groups was used. The research included the sample consisting of 98 students, out of which 45 belonged to experimental group while 53 were control students from Trebinje region. Test LV1, examining visual creativity, as well as visual perception and visual reception (art appreciation), was used. Results. The results indicated that the experimental program influenced the development of the visual perceptive (F = 3.76; p = 0.05) and visual receptive (F = 8.01; p = 0.00) abilities among students during art education because the experimental group students achieved significantly better results than the control group students. The experimental program was aligned with the curriculum and designed to influence the development of students' visual-perceptual and visual-receptive abilities. Conclusion. The obtained results indicate that it is possible to influence the development of students' visual-perceptual and visual-receptive abilities by using a specially designed program, aimed at stimulating verbal, auditory and visual aspects of visual expression.&amp;lt;/p&amp;gt;
A Speckle Denoiser: Deep Convolutional Neural Network for MR Image Denoising

Image de-noising is used to enhance the quality of images because while acquiring images they are degraded by different noises. Medical images get corrupted by gaussian and speckle noises in general. In this paper, Noisy image is obtained by adding either Gaussian noise or speckle noise of range 5 to 50. For MR brain tumor image de-noising purpose, deep learning models like pretrained DnCNN, and proposed deepCNN are considered. The performance of deep learning models are evaluated in terms of parameters like PSNR, SSIM, MSE, and MAE. The proposed DeepCNN model gives better performance in achieving denoising than other method due to usage of batch normalization, ReLU, and 17 convolutional layers so that the training process gets speeded up, the denoising performance is boosted and over fitting problem is also avoided by doing augmentation of the datasets.
Visible Video Data Hiding Techniques Based on Visual Effects Utilizing Barcodes

Data hiding techniques are usually applied into digital watermarking or digital fingerprinting, which is used to protect intellectual property rights or to avoid illegal copies of the original works. It is pointed out that data hiding can be utilized as a communication medium. It is required that the difference between the cover objects and the stego objects are quite small in order that the difference cannot be recognized by human sensory systems. On the other hand, the authors have proposed a hearable data hiding technique for audio signals that can carry secret message and can be naturally recognized as a musical piece by human ears. In this study, we extend the idea of the hearable data hiding into video signals by utilizing the visual effects. As visual effects, we employ fade-in and fade-out effects which can be used as a kind of visual rendering for scene transitions. In the proposed schemes, secret messages are generated as one-dimensional barcodes which are used for fade-in or fade-out effects. The present paper shows that the proposed schemes have the high accuracy in extracting the embedded messages even from the video signals captured by smartphones. It is also shown that the video signals conveying the embedded messages can be naturally recognized by human visual systems through subjective evaluation experiments.