Reviewerly/exHarmony huggingface dataset:
A study of hybridization of abc for continuous function optimization- a survey

Swarm intelligence algorithms are meta heuristics that simulates the nature for solving optimization problems, Artificial Bee Colony (ABC) algorithm is one of the most recent nature inspired algorithms which used for problem optimization, numerous research efforts has been concentrated in this particular area. However, the Artificial Bee Colony performance of the local search process and the bee movement or the solution improvement equation still has some weaknesses. The Artificial Bee Colony is good in avoiding trapping at the local optimum but it spends its time searching around unpromising random selected solutions, in order to overcome these limitations as well as to broaden the scope and viability of nature inspired algorithms many variations of this algorithm are being presented and the results being very amazing. This paper presents an overview of some of the hybridized meta heuristics with Artificial Bee Colony algorithm for continuous function optimization; many benchmark functions have been used to show the validity of every approach.
EVALUATION OF ENVIRONMENTAL ENGINEERING EDUCATION PROGRAM FOR STUDENTS FROM SOUTHEAST ASIA TO HIGH SCHOOL IN JAPAN

High schools in Gunma Prefecture, Japan, conducted an environmental engineering education program for international students from Southeast Asia for 13 years from 1998 to 2010. The purpose of this study is to understand the impact of the program on former international students and Japanese high schools as of now, 10 years after the end of the environmental engineering program. International students stayed in a Japanese home for a year and learned environmental engineering technology while interacting with Japanese high school students. In order to sort out the different types of exchange activities between former international students and Japanese high schools, and to do a post analysis, we conducted a survey of former international students and Japanese high school students, Southeast Asian and Japanese high school staff and host families.Using the survey data, a logic model for the environmental engineering education program was created. As a result, it was found that three elements of cross-cultural understanding, training agricultural engineers, and acquiring language skills are important for global human resource development. And it was found that the three elements involved four resources/inputs: homestay families, support for language learning, acquisition of agricultural technology, and learning and living experiences in foreign countries. It was found that the four resources exist all over the country, the program is likely to be applicable nationwide, and the global human resource development program can be disseminated anywhere.
Russian students in universities of Baltic countries

In recent years, higher educational institutions of the Baltic countries have become more and more popular among Russian youth wishing to get higher education (or take a certain course of professional training) abroad. The article, covering the period before the onset of the coronavirus epidemic, highlights the education of Russian students in universities in Latvia, Lithuania and Estonia. It is noted that a significant part of the students from the Russian Federation come from the Russian regions bordering on the Baltic states. The appendix presents the opinions of Russian students about the learning process and the quality of education received in Latvian, Lithuanian and Estonian universities.
HMM-GMM based Amazigh speech recognition system

This study presents conception and realisation of an automatic independent speech recognition system using hidden Markov model (HMM). The system recognises 33 letters in Amazigh language. System is found well performed and can identify the Amazigh spoken letters at 88, 44% recognition rate, which is well acceptable rate of accuracy for speech recognition. The tests were taken based on the HMM and Gaussian mixture distributions. Hidden Markov toolkit (HTK) has been used in implementation and test phases. The word error rate (WER) came initially to 29.41 and reduced to about 11.52% thanks to extensive testing and change of the recognition's parameters.
Measuring Catastrophic Forgetting in Visual Question Answering

Catastrophic forgetting is a ubiquitous problem for the current generation of Artificial Neural Networks: When a network is asked to learn multiple tasks in a sequence, it fails dramatically as it tends to forget past knowledge. Little is known on how far multimodal conversational agents suffer from this phenomenon. In this paper, we study the problem of catastrophic forgetting in Visual Question Answering (VQA) and propose experiments in which we analyze pairs of tasks based on CLEVR, a dataset requiring different skills which involve visual or linguistic knowledge. Our results show that dramatic forgetting is at place in VQA, calling for studies on how multimodal models can be enhanced with continual learning methods.
Sistem Pakar Menggunakan Metode Backward Chaining dalam Mengidentifikasi Kandungan Senyawa Boraks, Formalin, Rhodamin B dan Metanil Yellow pada Makanan

This research is motivated by the increasing number of food producers using additives that are not permitted to be used or which are harmful to health. The addition of hazardous substances in food and beverages has a huge effect on health. The use of these dangerous substances can cause inflammation of the digestive tract, degeneration or wasting of the liver, odema / swelling of the brain, accumulation of fluid in the organs of the body. This analysis applies the Backward Chaining Method in the Expert System, namely by the system processing existing facts to lead to conclusions. Facts are obtained from physical conditions, also known as symptoms. Backward Chaining is goal-driven reasoning, which begins with making predictions of what will happen, then looking for evidence that supports (or refutes) the hypothesis. In the Expert System for identifying chemical compounds of borax, formalin, rhodamine b and methanyl yellow in food using the Backward Chaining Method, the results obtained from the expert's matching data with the results of which results matched 6 out of 6 data, or with a percentage of 100%. The resulting solution is that the sample must be tested for labor. It is hoped that this application can help the public in educating chemical compounds in food and identifying the initial stages of food before being reported to the Food and Drug Supervisory Agency for laboratory testing.
The Explicit Dual of Leander's Monomial Bent Function

Permutation polynomials and their compositional inverses are crucial for construction of Maiorana-McFarland bent functions and their dual functions, which have the optimal nonlinearity for resisting against the linear attack on block ciphers and on stream ciphers. In this letter, we give the explicit compositional inverse of the permutation binomial $f(z)=z^{2^{r}+2}+\alpha z\in\mathbb{F}_{2^{2r}}[z]$. Based on that, we obtain the dual of monomial bent function $f(x)={\rm Tr}_1^{4r}(x^{2^{2r}+2^{r+1}+1})$. Our result suggests that the dual of f is not a monomial any more, and it is not always EA-equivalent to f.
Vector Analysis Reveals That Topography-Guided LASIK Targeting the Manifest Refraction (MR) is Superior to Topography-Modified Refraction (TMR) and Layer Yolked Reduction of Astigmatism (LYRA) [Response to Letter]

Vector Analysis Reveals That Topography-Guided LASIK Targeting the Manifest Refraction (MR) is Superior to Topography-Modified Refraction (TMR) and Layer Yolked Reduction of Astigmatism (LYRA) [Response to Letter]
Speckling and Testing with DIC at Microscales

The full-scale performance of modern materials, such as composites and additively manufactured parts, is dependent on their characteristic substructure. An understanding of the material interactions within these repeating substructures can improve the understanding of the material’s bulk properties. Taking measurements within these substructures is made difficult by their small size and potentially non-homogenous nature. There are some techniques that already exist for making small-scale strain measurements, but these techniques can require extensive specimen preparation and expensive specialty equipment and can place significant limitations on the specimen and test design. Southern Research is working to develop a method to measure strain in these substructures using Digital Image Correlation (DIC). This approach relies on a well-designed experimental setup to apply thermal loads and observe the resulting strains. The project design has moved through a number of iterations to address the various difficulties in capturing high magnification, high-resolution images with the correct quality for use with DIC.
PRAKIRAAN BEBAN LISTRIK DENGAN METODE REGRESI LINIER TERHADAP TRANSFORMATOR DAYA DI GIS PONDOK KELAPA TAHUN 2019-2028

Electrical energy is a vital requirement for the entire community, as the time goes by, the demand for electrical energy has increased over the year. The high and increasing demand for electrical energy is caused by several factors, including the Gross Regional Domestic Product (GRDP). The increasing of energy needs need to be accompanied by the availability of electricity supply and adequate electricity distribution. This research is a long-term forecast for electricity load growth to anticipate the load growth for the next 10 years at GIS Pondok Kelapa, using the linear regression method. The calculation is using the GRDP variables and historical data of transformer load at GIS Pondok Kelapa. From the calculations, it is known that in 2020 a new GIS was needed due to the GIS Pondok Kelapa already working on 80% of its capacity, it is 92,27% for transformer 2, 86,92% for transformer 3 and 80,21% for transformer 1.
Pedestrian detection algorithm based on improved SSD

The algorithm proposed in this paper introduces the deeply separable fusion hierarchical feature model into the backbone network of Single Shot MultiBox Detector (SSD) algorithm, which reduces the complexity of the model by using depthwise Separable Convolution and uses hierarchical structure fusion to enhance features. We add decode-encoder structure between the backbone network and the additional feature layer to propagate the high-level semantic feature downward through decoding, and then integrate the feature with the shallow local detail feature. At the same time, the encoder is used to transfer more advanced semantic features and output the fused shallow features for pedestrian detection, which improves the classification and detection ability of the model. The miss rate of the improved algorithm in this paper is as low as 9.68% on the INRIA data set.
Tantangan Profesi Akuntan Dalam Era Revolusi Industri 4.0 Dan Peluangnya Dalam Society 5.0

In the industrial revolution 4.0 companies must be able to use technology and information. This has the potential to degrade human roles. The concept of Society 5.0, artificial intelligence considers the human side that will transform millions of data. This concept is centered on humans. This paper conducts a study using descriptive, analytic, qualitative methods, and is complemented by literature studies. The challenge of the accounting profession in the era of the industrial revolution 4.0 is business activities do not require a lot of human resources e.g. the accounting profession and the use of robotics and big data that take over the basic work of accountants. The accountant profession opportunity in Society 5.0 changed its role to become a statistical analyst, checking the quality of the data, interpreting the processed data, and making non-financial reports. The implication in this research is that the system in cyberspace obtained by artificial intelligence will exceed human capabilities and be given feedback to physical space. This process brings new value to the accounting profession. This becomes a new wisdom in the social order.Keywords:society 5.0, industrial revolution4.0, accounting.
Peningkatan kemampuan menulis kembali teks nonfiksi melalui penerapan model cooperative integrated reading and composition (circ) pada peserta didik kelas iv sekolah dasar

The research purposed to increase the students ability especially in rewriting nonfiksi teks on students class IV SD Negeri 2 Tanduk Ampel Boyolali by Cooperative Integrated Reading and Composition Models. The subject of this research was students class IV SD Negeri 2 Tanduk Ampel Boyolali. They were amounts 26 students. The form of this research was Classroom Action Research within somecycles. The data was collected by test and observation. The test was used to measure the ability of rewriting nonfiksi teks and the observation was used to measure teacher perform and student activity. The data was also analysed by using interactive data analysis.The result showed that Cooperative Integrated Reading and Composition Models was proven able to improve the ability of rewriting nonfiksi teks on students class IV SD Negeri 2 Tanduk Ampel Boyolali. It was proven by the grade average in the first cycle and second cycle always improved. The first cylce was only 11 (42,31%) from 26 students who passed the minimum ≥ 70. The highest grade was 88, the lowest grade was 40, and the grade average was≥ 70 in the first cycle. In the second cyle, the grade increased. Amounts 21 students (80,77%) could pass the test and get grade ≥ 70. The highest grade was 90, the lowest grade was 60, and the grade average was 73,21 in the second cycle.
LGFF-Net: Airport Video Object Segmentation based on Local-Global Feature Fusion Network

The following topics are dealt with: airports; learning (artificial intelligence); neural nets; aircraft; feature extraction; aerospace safety; aerospace computing; air traffic control; safety; and Internet.
Providing Electronic Health Care Services Through A Private Permissioned Blockchain

Electronic Health Recording System is a patient focused system to allow users to manage medical data, including reports and prescriptions digitally. Current systems, while they solve the reports and data scattering, low durability of the prescription mediums, inefficiency in attaining the data and the high paper usage that is toxic to the environment, an emergence of an data integrity and security issue can be identified. The implemented system addresses the afore mentioned functionality issues and caters to the data integrity and security issue through a highly exclusive private blockchain. This system is web based to provide more flexibility when presenting data to its users. The technical aspects of the proposed system were successful which was executed with the minimum requirements of the blockchain network. This includes the number of organizations and its number of peer nodes that was required to cover the scope of the proposed system. Overall, the proposed system was a success
Perancangan Sistem Informasi Absensi Pekerja Lapangan Berbasis Web Pada PT. Infrastruktur Digiguard Sekuriti Jakarta

Abstract - Designing Web-Based Field Workers Attendance Information System on PT. Infrastruktur Digiguard Sekuriti Jakarta.In this modern era everything is done automatically using a computer. In conventional systems it takes hours to recap data, with a computerized system the process of recap data is in just minutes or seconds. Because a computerized system is more accurate, efficient and safe, it is necessary to have a computerized system in every field including the Attendance System. PT. Infrastruktur Digiguard Sekuriti is one of the companies engaged in infrastructure. Their attendance system of the field workers are still manual so that they are quite risky to errors in the absentee process. The attendance system of field workers who are still manual is also less efficient in terms of time because manual attendance recap takes long time to do.
Mechanisation of Model-theoretic Conservative Extension for HOL with Ad-hoc Overloading.

Definitions of new symbols merely abbreviate expressions in logical frameworks, and no new facts (regarding previously defined symbols) should hold because of a new definition. In Isabelle/HOL, definable symbols are types and constants. The latter may be ad-hoc overloaded, i.e. have different definitions for non-overlapping types. We prove that symbols that are independent of a new definition may keep their interpretation in a model extension. This work revises our earlier notion of model-theoretic conservative extension and generalises an earlier model construction. We obtain consistency of theories of definitions in higher-order logic (HOL) with ad-hoc overloading as a corollary. Our results are mechanised in the HOL4 theorem prover.
A Systematic Mapping Study of Developer Social Network Research.

Abstract Developer social networks (DSNs) are a tool for the analysis of community structures and collaborations between developers in software projects and software ecosystems. Within this paper, we present the results of a systematic mapping study on the use of DSNs in software engineering research. We identified 255 primary studies on DSNs. We mapped the primary studies to research directions, collected information about the data sources and the size of the studies, and conducted a bibliometric assessment. We found that nearly half of the research investigates the structure of developer communities. Other frequent topics are prediction systems build using DSNs, collaboration behavior between developers, and the roles of developers. Moreover, we determined that many publications use a small sample size regarding the number of projects, which could be problematic for the external validity of the research. Our study uncovered several open issues in the state of the art, e.g., studying inter-company collaborations, using multiple information sources for DSN research, as well as general lack of reporting guidelines or replication studies.
WITHDRAWN: Molecular engineering and the physisorption between (C24H12) surface and Cl, F, P, S, Se and Zn atoms using DFT, B3LYP algorithms

(C24H12) and (C24H12)-Cl, F, P, S, Se and Zn molecular geometry served as achieved by using density functional theory, 3-21G, three parameter Lee-Yang-Parr (B3LYP) approaches using Gaussian09 package codes. Schemes of electrostatic potential maps shows how the charges distribute through atoms, throughout these diagrams one can censorship apparently that the probability of coexist the electrons among some atom nucleus more than anothers atoms nucleus such that the samples (C24H12)-Se and (C24H12)-Zn. The anti-ferromagnetic characteristic reveals in the paradigms (C24H12)-S, Se, Zn, those three samples has open shell systems sorts, i.e., up spin and down spin. Computations of hardness and softness (HSAB principle) have been carried out for all samples in this treatise. Addition any atom of (Cl, F, P, S, Se or Zn) makes the total energy has negative(-ve) value, this belongs to the nature of bonding. (C24H12)-Phosphorus(P) has the lowest ionization energy (4.3802658 eV), one can put it charge exchange (C24H12) and (P) in this sample easier than the others, by means of the electrons need less energy to break free from the surface. The schooling demonstrates that (C24H12)-Cl possess the maximum value of hardness (4.95153975 eV), one can has it this structure more stable than the others. Some values of binding energy are positive, otherwise the others are negative, the reason herein is the bonding.
Communication in Tourism: Information Technologies, the Human User, Visual Culture and the Location

This chapter intends to reflect upon and discuss the discursive materiality and its impact on the (de)construction of the identity of destinations – location, people and cultural artefacts as represented in multimodal texts (verbal and non-verbal language in interplay) among the wide array of communicative events in tourism. The analysis of meaning production and reception in this dialogic encounter is believed to benefit from a multidisciplinary analysis of some discursive practices across domains in tourism. They comprise some instances (i) of speakers’ interaction in local accommodation facilities mediated by digital media, for example booking.com . Guesthouse – Message: Guest – SMS, cross-culturally, (ii) together with cultural traits of multimodal kind (Kress G, Van Leeuwen T, Multimodal discourse: the modes and media of contemporary communication. Routledge, London, 2001) in destinations. It also aims to promote some necessary reflection on the nature of representations and the impact of multimodal communication in users’ interaction evidenced in communicative practices in the realm of immersive tourism, among other alternative types. In the scope of the approach foreshadowed in the title, this chapter also draws on online visitors’ comments to one of the cafés displayed on TripAdvisor’s webpages about a destination (pages 1 to 10; entries: March to September 2019, Portuguese version), all of which of cross-cultural kind. It is argued that committed citizenship is fostered by the necessary dialogue in urban areas between visitors and locals/residents about and with the location, facilitated by information technologies, the human user, and visual culture. As such, the dialogue should involve multidisciplinary research fields and practitioners to foster effective communication among participants: visitors – residents and designers of interactive media. These act upon the image of a location and are also impacted by the image created. Given the wide scope of the study, mostly unidirectional communicative events are object of analysis as the possible but diverse patterns of hosts’ reactions should be collected and examined in further studies.
UPAYA MENINGKATKAN KETERAMPILAN MENULIS TEKS EKSPLANASI DAN HASIL BELAJAR BAHASA INDONESIA DENGAN METODE INKUIRI PADA SISWA KELAS XI IPS 1 SMA NEGERI 3 METRO

The result of skill and learning becoming by write explanation methode inquity XI IPS 1 SMAN 3 Metro. Data method by observation, document,and interview (test and non test). Skill texs explanation prasiklus 79,25, siclus I to 96,83 increased 17,58%, the result of prasiklus 5 to siklus I become 7, increased 2%. Skill write texs explanation by siklus II become 108,91, increased 12,08%, the resulth of learning siclus I rates 7 a,d siklus II rates 8, increased 1%. Siklus III skill write tex explanation become 200,16, increased 91,25%, the result of leaning score 9, increased 1%. The conclusion: skill tex explanation prasiklus rates 79,25%, at siklus I score 96,83%, siclus II score 108,91. And siclus III score 200,16%. The result learning praciklus 5, siclus I become 7, siclus II,8, and siclus III become 9, the rates from praciklus 2%, siklus I to siclus II become 1%, and siclus III be 1%.
A Dynamic Time Warping and Deep Neural Network Ensemble for Online Signature Verification

Dynamic Time Warping (DTW) is a tried and tested online signature verification technique that still finds relevance in modern studies. However, DTW operates in a writer-dependent manner and its algorithm outputs unbounded distance values. The introduction of bounded outputs offers the prospect of cross pollination with other regression models which provide normalized outputs. Writer-dependent methods are heavily influenced by the richness of the available reference signature sets. Although writer-independent methods also use reference signatures, they have the ability to learn general characteristics of genuine and forged signatures. This ability particularly gives them an edge at detecting skilled forgeries. Noting that DTW, on the other hand, has a strength at random signature verification, this study proposes a model which combines DTW and Deep Neural Networks (DNNs). When trained on a class balanced training set from the BiosecurID dataset, using a best vs 1 reference signature selection scheme, the proposed hybrid model outperforms previous methods, achieving Equal Error Rates of 5.17 and 2.64 for skilled and random signature cases, respectively.