Reviewerly/exHarmony huggingface dataset:
Perancangan Aplikasi Keuangan Restoran Terintegrasi Pada Warung Arya berbasis Akutansi

The design of financial applications in this Arya stall is based on huge business opportunities in the stall, therefore this stall wants to expand its business and requires financial applications that can support this business activity. Financial applications in the Aryan stalls made include master data, expenditure transactions, sales transactions, and financial reports that are expected to approach accounting rules such as (income statement, owner's equity statement and balance sheet report), while the process of making this application uses the Visual Study programming language 2010 and Microsoft SQL Server 2008 as its database and design using Data Flow Diagrams (DFD). The results of this study produce applications that can provide report information that is useful for decision makers for the owner of the stall and this financial application can facilitate the processing of data such as sales and expenditure transactions.
400 MPH

On the Bonneville salt flats, the sound of roaring engines can be heard in the distance. At the wheel is Icarus, a chimpanzee hell-bent on transcending the limits of speed. Aboard iconic and increasingly powerful vehicles, Icarus will attempt to reach the ultimate speed of 400 Mph, thought to be impossible for land vehicles. As Icarus reaches for the sky, will he prevail or be consumed by his self-destructive quest?
A Solution to Defend Cloud Auditing Protocols from A Potential Attack

Abstract PRISM, a monitoring plan carried out by American government and revealed to the public in 2013, brought subversion attack back to the centre of cryptography research. In this work, we propose a kind of subversion attack on the cloud auditing protocols, where the cloud server plays the role of subversion attacker, manages to recover the secret message stored by the users of the auditing protocol. Then we propose a general frame of defence solutions with experiments to evaluate the practicability of our theme.
A Study on the Improvement of Permission Substances Based on Occupational Safety and Health Acts

This research aims to suggest efficient, reasonable management plans of the permission substances in response to reinforcement of the domestic and foreign management systems against chemical substances. Based on the chemicals control act, it is necessary to review equity of the control levels of toxic substances and restricted materials in comparison with the other permission substances. It also needs to reinforce management level of substances having high exposure level and partly modify in consideration of the equity of management. The priorities of escalating to prohibited substances were given high scores in the possibility of substitutes, which consistently requires further studies.
Database of speech corpora of Czech laryngectomy patients

The corpus contains Czech speech of laryngectomy patients recorded before a surgery causing their voice to be lost in order to preserve the voice which can be later used for personalized text-to-speech system. Individual utterances were selected from the language by a special algorithm to cover as much phonetic and prosodic features as possible.
Distributed Particle Filter based Vehicle Tracking System with α-stable Parameter

This paper proposes a system with multiple sensors to track vehicles in real time while driving. Environmental information on real-time roads has the characteristics of nonlinear, non-gaussian distributions, and the performance of tracking systems tends to decrease if sudden changes occur and outliers are included. To overcome these shortcomings from vehicle tracking systems, we proposes algorithms that maintain stable and robust characteristics in real-time road environments using distributed particle filters and symmetrical-stability parameters. The distributed particle filter adopts a Gaussian mixed model exchanging parameters between adjacent sensor nodes to approximate the posterior distribution of the weighted particles. The average consensus filter is used to enable each sensor node to interact with the neighboring node. Also, outliers such as impulse, the state estimation method applied to the particle filter-based tracking system is likely to result in degraded performance. To resolve these problems, this paper proposes the method to use a probability density function approximated by the particles generated, as using α-stability distribution value appropriate to the circumstances. The experimental results show that the proposed method has better performance than other traditional particle methods, even when multiple sensors are used to detect multiple objects in nonlinear environment where rapid changes occur.
Enhancing Students’ Learning Motivation Through Learning Analytics Approach in Online Learning System

The world has now entered the era of an era in which there is an exponential growth in the amount of data and automated use of information. The development of new technology in the big data era contributes to the field of education, particularly in the evolution of online-based learning or e-learning. Big data has changed the approach in designing an e-Learning. When students interact with content in E-Learning, automatically generating data, we can collect and trace their learning tracks. The data is processed and analyzed, then used to understand the behavioral characteristics of the user or student to enable a personal learning experience. In this study, learning analytics dashboard was used to improve their learning motivation. Tests were conducted on 53 students in the Instructional Technology Department of the State University of Malang and distributed questionnaires and then analyzed using descriptive methods. The result is that most of the students who take online learning using the learning analytics dashboard find it helpful to carry out self-evaluations of the learning progress hence they can manage the time in learning effectively and efficiently.
Machizukuri methodology and tools

Machizukuri has developed six particular methods for its implementation. First, the “method of discovery of the ‘machi’-shared place and community,” which refers to a way to discover and share the unique conditions and potentials of a particular place.The second is the development of machizukuri through a co-creation process based on gaming and simulation tools. The idea is to simulate and get feedback prior to a future situation.The third method is the “machizukuri citizens’ operations.” Through it, it is possible to promote machizukuri on the local community’s own initiative.Fourth are multi-stakeholder partnerships. Various citizen and community organizations are put together inside a planned system that allows achieving better results from their collaboration.Fifth, the “interactive editing” method allows the various actors to influence each other as a way to redefine and adapt work objectives and programs.Finally, the sixth method consists in the development of a series of consecutive machizukuri initiatives under a single unifying vision. In this case, machizukuri develops through diverse complementary flows that combine to create, share, and add value to their holistic comprehensive story.
iOMTARA (INTERIOR OMAH NUSANTARA) : APLIKASI ROOM TOUR DENGAN MENGGUNAKAN TEKNOLOGI VIRTUAL REALITY SEBAGAI MEDIA PENGENALAN PARIWISATA RUMAH TRADISIONAL NUSANTARA

The role of information technology is the main thing that must be fulfilled to support activities in various fields of life, including the promotion of tourism. One of the developing information is Virtual Reality technology. iOMTARA (interior of Omah Nusantara) is a room tour application development that was created as a media for the introduction and promotion of tourism in the Nusantara. The 3D objects displayed in this application are Joglo Yogyakarta Indonesia's traditional house and Melaka Malaysia’s traditional house. Both of them were chosen because currently the traditional house no longer functions as a residence but also as a tourist attraction for both foreign and domestic tourists. This application was developed using interactive visual methods such as virtual worlds that make users feel like they are getting the same information as the experience of entering the space in the real houses. The application of building 3D objects from houses is followed by making video interactions using virtual reality. The final stage, this application will be incorporated into a mobile phone based on the Android operating system so that it can be used easily by the people. The application design method begins with a preliminary study of qualitative methods to obtain data directly in the field. Then the data is used to designing virtual reality in the IOMTARA Room Tour application. The result of making this application is the design of an iOMTARA application that uses Virtual Reality technology and can be used on mobile phone based on the Android system. It is expected that with this application, the people is more familiar with tourism objects in the Nusantara, especially the Joglo Yogyakarta Indonesia’s traditional house and the Melaka Malaysia’s traditional house.
DAMPAK PENDAMPINGAN DALAM MENGERJAKAN PR DAN KEBIASAAN ORANGTUA MEMBACA TERHADAP CAPAIAN AKADEMIK ANAK DALAM TIMSS 2015

The success of student education cannot be separated from the schools, teachers, students and parents. Parents play an important role because they are the first and primary educators of their children. This study aims to assess the impact of parents’ support in helping their children to do their homework and parents' reading habits on mathematics and science scores in TIMSS 2015. By using quantitative descriptive and inferential methods, the analysis shows that parents who spend more time helping and checking their children homework, have children who achieve higher scores on mathematics and science. If they read more than 10 hours in 1 week, their kids scores on TIMSS 2015 significantly. Only 6,4% of parents whose reading habits more than 10 hours in 1 week.
Конструктивный концепт библиотеки нового типа

Sokolskaya L. V. Biblioteka novogo tipa: komponenty konstruktsii [Library of a new type: construction elements] : monograph. Chelyabinsk, Chelyabinsk State inst. of Culture, 2019. 179 p. (In Russ.)
Improving The Students’ Vocabulary Mastery Through Keyword Method At Eighth Grade Students Of SMP Negeri 1 Kutacane

This study was conducted to improve the students’ vocabulary mastery through keyword method. This study was conducted by using classroom action research. The subjects of this study were 32 students and collaborator at the VIII Grade of SMP Negeri 1 Kutacane Aceh Tenggara in the academic year 2019/2020. The technique of analyzing data of this study was applied by usingBurns (assembling data, coding data, comparing data, building interpretation, reporting outcomes). The qualitative data were taken from interview, diary notes, observation sheet, and documentation. The quantitative data were taken from the test. The result of the analysis showed that mean of the pre-test was 62.81. In the post-test I is 71.40 and post-test II is 80.62. It indicated that the implementation of Keyword Method can improve the students’ vocabulary mastery. It’s strengthened by the result of observation showed that most of the students in teaching learning process were active and serious in joining the lesson. They are active in discussing and understanding of the text.
2015 개정 교육과정에 따른 중·고등학교 과학과 교과서의 진화 관련 단원 내용 및 기능 분석

This study analyzed the content and skills of the evolution related units in revised textbooks according to the 2015 revised national curriculum. Vertical connectivity of evolutionary concept included in the textbooks was not done well because there were many ‘gaps’ rather than ‘repetition’ and ‘development’ as a whole. The curriculum and textbook should be structured so that students can learn the unit of evolution through ‘repetition’, ‘development’ based on the precedent learning by introducing the concept of evolution from the lower grades, and to learn the biology from the evolutionary point of view. Analyzing the skills included in the inquiry activities, the elements of traditional inquiry activities such as ‘data collection, analysis and interpretation’ and ‘conclusion and evaluation’ were the main factors. Although evolution is the most important theory to explain biology, it does not contain enough content in textbooks, nor is there a systematic link between its contents. This causes students to have difficulty in learning evolution. Science teachers in the environment for applying to the 2015 revised national curriculum need to make efforts to reconfigure the curriculum with the conceptual linkage in teaching the unit of biological evolution.
A Study on the Necessity and Utilization of Beauty₋related Process Evaluation Type: The Center for the Development of Curriculum and Curriculum Evaluation

The perception of the necessity for licenses relating to the production of competent personnel, job connectivity and course assessment has increased to verify and produce qualified manpower by requesting required personnel through education, training and work and improving efficiency and practicality. Under these circumstances, the effects attempted to investigate the effects of the necessity for course assessment on field practicality and career choice through empirical analysis with the implication that differences in perception of course assessment and the need for such assessment in cosmetology would affect utilization. For this, frequency analysis, exploratory factor analysis, Cronbach’s alpha, chi-square test, correlation analysis descriptive statistics and simple regression analysis were performed, and the results found the following: the need for course assessment had a significant influence on utilization. In addition, as people’s perception of such necessity in field practicality increased, influence on career choice was greater accordingly. It appears that course assessment-based qualification plays a key role in competency-centered human resource development.
CNL-ER: A Controlled Natural Language for Specifying and Verbalising Entity Relationship Models

The first step towards designing an information system is conceptual modelling where domain experts and knowledge engineers identify the necessary information together to build an information system. Entity relationship modelling is one of the most popular conceptual modelling techniques that represents an information system in terms of entities, attributes and relationships. Entity relationship models are constructed graphically but are often difficult to understand by domain experts. To overcome this problem, we suggest to verbalise these models in a controlled natural language. In this paper, we present CNL-ER, a controlled natural language for specifying and verbalising entity relationship (ER) models that not only solves the verbalisation problem for these models but also provides the benefits of automatic verification and validation, and semantic round-tripping which makes the communication process transparent between the domain experts and the knowledge engineers.
Survey Paper on Gym Management System

The project ‘gym management system’ is prepared to eliminate the time required for existing system in the previous system there is no records secured as all the paper work was there and if the paper misplaced then all the records will gone so to avoid all these problems this gym management system project has been developed. Through these all the records are maintained and secured. In gym management system it requires a system which handle the details easily and security according to user. It also requires software which store data about staff and persons. This is very useful system and beneficial also.
Practical quantum error mitigation for analog quantum simulation

Analog quantum simulation has been proposed as an efficient approach forprobing classically intractable many-body physics. In contrast to digital,gate-based quantum simulation, the analog approach involves configuring thequantum hardware to directly mimic the physics of the target system. Thisreduces the level of control required and can offer a degree of inherentrobustness, but it comes at the cost that known error-handling techniques maybe inapplicable. Accumulation of error is thus a major challenge facingmedium-scale and large-scale analog quantum simulation with current andnear-term noisy quantum (NISQ) devices. Here we propose a hybrid errormitigation scheme that can suppress general local Markovian noise in analogquantum simulators. We employ stochastic error mitigation for physical noiseand use Richardson extrapolation to compensate for model estimation error. Wenumerically test the error mitigation scheme for an Ising-type Hamiltonian withenergy relaxation and dephasing noise, and show an improvement of simulationaccuracy by two orders. We assess the resource cost of our error mitigationscheme and conclude that analog quantum simulation at scale is feasible withNISQ hardware.
A Novel image Encryption Algorithm Based on Plaintext-related Hybrid Modulation Map

Derived from 1D-Tent map and 1D-Logistic map, a plaintext-related hybrid modulation map (PHMM) which modulated by variance contribution rate of singular values of plaintext image is proposed in this paper. The performance of PHMM was verified by the bifurcation diagram, Lyapunov exponent (LE) and Spearman correlation test. Based on PHMM, a pixel scrambling method called non-repetitive chaotic displacement (NRCD) is proposed. Then a novel image encryption algorithm is proposed based on the combination of NRCD and bit-plane reconstruction. In this algorithm, the permutation and diffusion processes are completed simultaneously. This algorithm has better performance in the tests of statistical characteristics, sensitivity, secret key and efficiency.
A comparative study between foreign and domestic research performance on cultural industry as an academic area

문화산업은 지난 20여년간 새로운 성장동력의 산업으로서 각광을 받고 있는 가운데, 그간 다양한 학문 분야에서 다양한 주제를 대상으로 다뤄왔으며, 앞으로도 이러한 추세는 지속될 전망이다. 하지만, 총론 개념으로서 문화산업 연구에 대한 다양한 학문에서의 접근들이 학술적으로 체계화되어 있지는 않았다. 이 연구는 총론 개념으로 문화산업 연구가 다양한 시각에서 복합적으로 수행될 필요가 있다는 점을 환기시키기 위해 객관적인 근거를 토대로 분석하여 향후 국내 문화산업 연구의 함의를 찾고자 하였다. WOS와 KCI의 두 데이터베이스에 수록된 과거의 학술논문들을 대상으로 총론으로서 문화산업 연구에 대한 특성을 각각 파악하고 비교 분석하였다. 분석 결과 총론 개념으로서 문화산업 연구는 국내외적으로 복합학 연구영역으로서 접근 가능성에는 유의미하지만, 해외 연구는 각 학문별로 유사한 주제라 하더라도 비교적 고유 관점에서 그리고 고유의 연구주제를 다루는 반면, 국내 연구는 학문별로 뚜렷한 특징을 찾기는 어려운 것으로 관찰되었고 양적으로는 해외에 비해 큰 차이점을 보이지는 않은 것으로 평가되었다. 따라서 이 연구는 복합학으로서 문화산업 연구 주제들이 특정한 학문 영역에서 논의를 진행하더라도 각 학문별로 문화산업에 대한 고유의 차별화된 연구 영역을 구축하는 것이 진정한 의미의 복합학으로 인정받을 수 있을 것이라는 점을 강조한다.The purpose of the study is to find the implication for the direction of domestic and overseas research in cultural and creative industries within holistic concept during the last within 20 years and to explore whether the academic research on those industries would be evaluated as interdisciplinary areas. The method of the study is to analyse the academic articles on the industries in the two databases of WOS and KCI which have dealt with the related subjects holistically. The paper shows that those articles could be commonly classified as interdisciplinary academic areas in overseas and domestic over the past research results. However, this paper finds that domestic articles in each academic area generally could not have each own s distinct subjects rather than those overseas ones.
Analysis of Sampling Approach to Balance Data for Change Prediction

Software keeps on evolving due to the changing requirements and demands of the customer. Due to this, nowadays, we have multiple versions of a software. Incorporating any change at a later phase in the software development life cycle leads to investment of lots of resources. In this study, we will develop models to predict the classes which are more prone to changes at a very early stage in software development life cycle. This will allow the developers to focus their attention and resources on limited number of classes rather than all the classes. In addition, rigorous verification activities can be focused on such classes leading to less number of bugs/errors at a later stage. However, the datasets in software engineering domain suffer from the class imbalance problem leading to inaccurate or biased model prediction. In this study, we have used a sampling technique to balance the dataset. The aim of this study is to use meta heuristic algorithms for model prediction using imbalanced and balanced data (obtained after sampling). The empirical validation is conducted using a popular operating system, Android. The study compares the efficiency of different algorithms in predicting the change proneness and further shows that the performance of the models is comparable or better on the balanced data as compared to the imbalanced data.
Numbers are for computers, strings are for humans

How and where software should translate data into a human-readable form.
ANALISIS DAN PERANCANGAN SISTEM INFORMASI LAYANAN PESERTA PELATIHAN BERBASIS WEB PADA LEMBAGA PENJAMINAN MUTU PENDIDIKAN PROVINSI JAMBI

Lembaga Penjaminan Mutu Pendidikan (LPMP) carries out education and secondary education qualityassurance in the province based on the policy of the Minister of Education and Culture. In carrying outits main tasks, LPMP has various program activities such as Coordination Meeting (CoordinationMeeting), Training, Workshop. At present, the procedure is applied to participants who come to LPMP toparticipate in various types of conventional training, meaning from starting to receiving participants,arranging classes, determining rooms, and storing documents, not yet properly recorded. While onarchiving paper only contains storage of hardcopy documents. to change the participant acceptancemethod used today, that is, the conventional method becomes a computerized and WEB-based archiveadmission method. In approving the system, acceptance of participants based on this website uses webbased programming using PHP and MySQL. Regarding the purpose of this study is to study and analyzethe problems that exist in the acceptance of participants in the activity and information systems for WEBbased training participants
Reform and Innovation of College English Writing Teaching under the Background of Big Data

With the continuous advancement of information technology era in China, various kinds of Internet technology have also begun to be applied to the education industry.Especially at present, China has entered the era of big data, and this era has also brought more impact on College English writing teaching, making the specific writing teaching meet many challenges.This paper first clarifies the basic characteristics of the big data era, and on the basis of explaining the current situation of College English writing teaching in China, and combining with the changes brought about by the big data era to college English writing teaching, it includes three aspects: defining the teaching system based on language application, constructing a relatively perfect evaluation system for writing teaching, and improving the information technology ability of teachers in an all-round way.On the other hand, the reform strategies of College English writing teaching in the era of big data are discussed in detail and comprehensively.