Reviewerly/exHarmony huggingface dataset:
A new method combining discrete wavelet transform and neural network for high energy physics problem

In this paper, a new method proposed for high energy physics problem combining discrete wavelet transform and neural network.DWT used to decrease the size of features and the output of DWT wired to the neural network.The neural network applied to classify the features that obtained by DWT.Several statistical parameters are calculated to evaluate the performance of the proposed method.The proposed method presented remarkable results when compared with previous studies.
An Improved Recurrent Neural Network Language Model for Programming Language

Language models are applied to the programming language. However, the existing language models may be confused with different tokens with the same name in different scopes and can generate the syntax error code. In this paper, we proposed a grammar language model to solve these two problems. The model is an improved recurrent neural network language model. The improved recurrent neural network language model has the scope-awared input feature and the grammar output mask. We evaluated our model and existing language models on a C99 code dataset. Our model gets a perplexity value of 2.91 and a top-1 accuracy rate of 74.23% which is much better than other models.
Marketing Decision Making In The Conditions Of Information Uncertainty And Business Risks On The Basis Of The Stratification Metamodeling Toolkit

The problematic subject area studied in this article is the sphere of marketing activity and the quality management system of industrial enterprises on the example of the enterprises of the electrical engineering industry.The article addresses the following problems of marketing management of enterprises producing electrotechnical products, such as reduction of financial demand from the side of potential consumers and unplanned negative changes in products market prices.It is substantiated that marketing decisions taken by the management of the enterprise concerning the pricing of production of own manufacturing are burdened with significant business risk and are accepted in the absence of reliable operational information about the current level of indirect production and nonproductive costs in the conditions of dynamic destabilizing influences from the outside of the enterprise.It is proposed to solve outlined problems using the instrumentation of a new object-oriented approach to the synthesis of complex models of the activities of industrial enterprises -stratification metamodeling.The article describes a fragment of a stratification metamodel, which is a reference for the enterprises of the electrical engineering industry.The construction of this fragment of the stratification metamodel was carried out in three analytical contexts: conceptual modeling of marketing decision making in the conditions of information uncertainty, model decomposition of the economic problem into the multilayered hierarchy of the complex of problems and their mathematical models, information management of model knowledge and generating on this basis an effective marketing solution due to the synchronization of inputs and outputs of models of up-to-date management tasks that have created a coherent system.The system of interconnected economic and mathematical models of price, cost and profit management developed in this article is a scientific basis for the synthesis of artificial intelligence enhancement systems when adopting effective marketing decisions for the preventive elimination of the threat of price destabilization of the enterprise portfolio.
The Need of Speaking Course Teaching Materials Development in Indonesian Language Education Study Program (PBIN) of Peradaban University

This study aims to describe and explain: (1) speaking course teaching materials used in Indonesian Language Education study program of Peradaban University, and (2) teaching materials needed by the lecturers and students in Indonesian Language Education study program of Peradaban University.The method used was descriptive qualitative.Data gathering method used document analysis, questionnaire, and interview.The data analysis technique used interactive analysis model.The result showed that (1) the available speaking course teaching materials doesn't include supporting information, exercises, instruction, and assessment and (2) the teaching materials needed by the lecturers and students should consider a) the easy to understand and unambiguous diction, b)the topic that should fit to the students' problem, c) the existence of exercises and task that are easy to understand,d) the existence of instruction and assessment for exercises and written tasks, e) the effectiveness of the teaching materials that should be ready to use in minimum condition of the university.
Analisis Kesalahan Penggunaan Kosakata Bahasa Baku Dalam Menulis Karangan Deskripsi Siswa Kelas VII SMP Negeri 3 Sawit Boyolali

This study aims to describe the analysis of errors in the use of standard language vocabulary and the factors underlying the errors in the description essay. This type of research is qualitative research. The object of this research is the results of class VII A. The source of the data in this study is the students of State Junior High School 3 SawitBoyolali class VII A. Obtaining data by taking data using observation techniques, interviews, documentation, and document analysis. The results of the identification of the errors that have been obtained, then processed through technical data analysis with the method of the method and the equivalent method. The results obtained in this study were written by students of VII grade students at SMP Negeri 3 Sawit Boyolali identified based on the type of error. The type of error is the use of prepositions, words that are not thrifty, prefixes, endings, rephrases, conjunctions, and basic words.
Accounting Social Cognitive Mechanisms by the Framework of Predictive Coding and Active Inference

Our group has explored possible neuropsychological mechanisms for social cognition by using predictive coding and active inference frameworks [1]. For the purpose of gaining better understanding, we have taken so-called the synthetic robotics approach wherein a set of experiments have been conducted for robot-human as well as robot-robot interactions. Especially, we examine the underlying mechanisms accounting for spontaneous coupling and decoupling among agents as well as autonomous shifts from one social context to another. We investigate also how can novel or creative behaviors be co-developed by robots and human tutors through their developmental interactive tutoring processes. Finally, I address phenomenological aspects in social cognition from our preliminary examinations on how human can feel intention or free will of the robots or how the robots can possibly do so for the humans in the human-in-the-robot-loop experiment.
Automatic Analysis of Critical Sections for Efficient Secure Multi-Execution

Enforcement of hypersafety security policies such as noninterference can be achieved through Secure Multi-Execution (SME). While this is typically very resource-intensive, more efficient solutions such as Demand-Driven Secure Multi-Execution (DDSME) exist. Here, the resource requirements are reduced by restricting multi-execution enforcement to critical sections in the code. However, the current solution requires manual binary analysis. In this paper, we propose a fully automatic critical section analysis. Our analysis extracts a context-sensitive boundary of all nodes that handle information from the reachability relation implied by the control-flow graph. We also provide evaluation results, demonstrating the correctness and acceleration of DDSME with our analysis.
UofL Libraries: Services & Fees: Home

Covers costs of prints, scans, and other fees for duplicating materials from the Archives and Special Collection of the University of Louisville.
Meningkatkan Keterampilan Event Orginizer Anggota Karang Taruna di Perumahan Hang Lekir Kecamatan Batam Kota

In era of globalization and free trade requires everyone to prepare reliable resources. Event Organizer (EO) is now more prospective. ’'The players' are not only many foreign competitors. This condition is a challenge for the Event Organizer, so that in view of the need for management maturity. Local Event Organizer has the potential to develop rapidly, considering that there are local, national and international events that require intelligent handling. In this service, the service team also connects communication and English skills that have very close relationships that benefit the community. Fostering an Event Organizer using English can provide benefits for youth in Youth.
Dampak Jadwal Belajar Dalam Mengoptimalkan Prestasi Belajar Matematika Siswa Kelas III MIM Bolon Colomadu Tahun Ajaran 2018/2019

This study aims to: (1) To find out the impact of learning schedules in optimizing mathematics learning achievement of students of class III MIM Bolon Colomadu in the academic year 2018/2019 (2) How big is the impact of learning schedules in optimizing mathematics learning achievement of students of class III MIM Bolon Colomadu 2018/2019. This type of research is quantitative research. This research was conducted at MI Muhammadiyah Bolon Colomadu. The population in this study is class III. The sample used was grade III A students, amounting to 30 students. Based on the results of the study show that the simple linear regression equation is as follows: (1) Ŷ = 36.725 + 0.656X, based on the calculation results it can be said that the higher the application of the learning schedule the higher the mathematics learning achievement of students, and vice versa. (2) Based on the F test it is known that the value of F_count> Ftable is 2.528> 4.21 and the significance value t table which was 2,220> 2,042 and the significance value <0.05 was 0,000. It means, the learning schedule variable has a significant impact on the mathematics learning achievement of third grade MI Muhammadiyah Bolon Colomadu Academic Year 2018/2019.
Pelatihan Budidaya Jamur Tiram Putih (Pleurotus ostreatus) di Pondok Pesantren Hidayaturrahman NW Manggala

Hidayaturrahman Islamic Boarding School NW Manggala organizes formal education at the junior high and high school levels. After graduating as santri who continue to tertiary education and some who quit education and work to help parents. Therefore, the provision of skills is needed capital to be independent. The provision of learning skills obtained at school is completed at a minimum because the teacher (teacher) does not have an entrepreneurial background. This dedication is done with the aim that the students have the ability in the cultivation of oyster mushrooms. The method used in this activity is the diffusion method of science and technology. With work procedures, namely 1) planning, 2) action, 3) mentoring, 4) evaluation. The result of this activity is that this service activity is able to improve the skills of students in the cultivation of oyster mushrooms, increase the interest and motivation of students in terms of entrepreneurship.
Digital Signs Security System using AES-Blowfish-RSA Hybrid Cryptography Approach

Increasing application of digital signatures in legitimate authentication of administrative documents in both public and private environments is one of the points of concern, especially the issue of security and integrity of ownership of signatures. Digital signature is a mathematical scheme, which a unit to identify and prove the authenticity of the owner of the message or document. The study aims to analyze security patterns and identification of digital signatures on documents using the RSA-AES-Blowfish hybrid cryptographic method approach for securing digital signatures, while the Kohonen SOM method is applied to identify ownership recognition of signature images. The analysis framework used in this study is each signature will be stored in the form of a digital image file that has been encrypted using hybrid method of AES-Blowfish with the SHA 256 hash function. Process of forming private keys and public keys in the signature image using the RSA algorithm. Authentic verification of the use of digital signatures on the document has 2 (two) stages, the first stage is signature will be valid used on the document if the result of hashing the selected signature image is the same based on the private key and public key entered by the user, while the second stage identification is done using the Kohonen SOM method to validate the similarity of the chosen signature with the ownership of the signature.
PENGARUH MENONTON ACARA TELEVISI TERHADAP PENINGKATAN MOTIVASI BELAJAR PADA SISWA KELAS VIII DI MTS NEGERI LASALIMU

This study aims to determine the effect of watching television programs on increasing learning motivation in Class VIII students at Lasalimu State MTs. The research method carried out by researchers is associative research is research that aims to determine the relationship between two or more variables. The form of the relationship in this study is a causal relationship, namely the causal relationship and this type of research is field research. It said field research (respondents) because researchers were directly involved in data collection. The results showed that watching television shows can increase the learning motivation of Class VIII students in Lasalimu State MTs in the learning motivation of the intended students in the very high category, based on the percentage of students' learning motivation values with ≥65, from 18 respondents or 72%, this is caused by implementation of instruments for student learning motivation, so that students can better understand and realize the importance of motivation in learning at school and outside of school. Analysis of frequency distribution data, while searching for television shows to increase student learning motivation using Product Moment Analysis This study, only has one hypothesis, namely that there is an increase in watching television programs to increase learning motivation of Class VIII students of Lasalimu State MTs. Hypothesis testing will be conducted using Product Moment Correlation Analysis. The calculation results from Product Moment correlation analysis using computer assistance with the application program Statistical Product and Service Solution (SPSS version 17.0 for Windows) produces a calculated price with a significance value of 0.004. Assuming the calculation is the value of rxy> r table then there is a significant relationship. Then the rxy value is 0.004 while the r table value is 0.05. Then: rxy = 0.405 and R table = 0.057.
Using CNN and HOG Classifier to Improve Facial Expression Recognition

Facial expression recognition (FER) is growing on a large scope due to diversification of its field of application. FER is now applicable in crime prevention, smart city development, as well as other economic sectors like: transportation, advertising and health. There are a number of benefits accompanied through proper and correct analysis of emotions: Security is enhanced, proper event prediction, inter person communication channel, easy extraction of details and so on. There are various facial emotions identified from various previous studies, which make up the basis for effective and affective communication among people of different culture, race, ethnicity and gender. Many feature extraction methods and classification techniques have previously been developed to give better accuracy and performance in face recognition. A convolution neural network CNN is an unsupervised deep learning algorithms with ability to learn image characteristics and make differentiation of one aspect to another. It is a trending technique in this field due to its positive results, and fast computation. However, the still there are issues with accuracy and complexity challenges in face recognition. In this paper we perform experiments on FER to solve problems associated with orientation and different light conditions. We applied HOG classifier for feature extraction and CNN to detect and classify the expressions. Overall we achieved high accuracy and optimization results of 77.2%. This method achieved higher results than previous work done using SVM algorithm and HOG classifier with accuracy of 55%.
RANCANG BANGUN PENGATURAN RUANG MEETING DENGAN ALGORITMA DIVIDE AND CONQUER PADA HOTEL AMALIA BANDAR LAMPUNG

Recording of meeting rooms is carried out by the Amalia Hotel marketing division by using calendar events and this takes a long time. The marketing division wants an application that is able to analyze meeting room packages that are ordered most quickly and accurately. To determine the meeting package that is most ordered at Amalia Hotel, the marketing division requires several criteria including the usage period, the name of the meeting room and meeting package. The divide and conquer method is applied by way of dividing the data of the use of meeting packages into two groups, determining the greatest value of each group, and combining the largest values of each group together to find the greatest value.The application applied is in accordance with the needs of the marketing division. Evidently when looking for packages that are most ordered from 140 data borrowing meeting packages, the application can display the percentage of meeting packages that are the most in order within 0.0018 ms. Applications can be developed using other sorting methods such as bubble sort and selection sort that can solve problems without dividing the problem into two groups first. Keywords: Application, Meeting Room, Meeting Room Package
Community Radio and Women Empowerment: A Pragmatic Investigation

The socioeconomic growth of a country may be evaluated by the strength of its social communication system and infrastructure available to the masses: stronger the communication system, greater the rate of economic growth. India is a country with the utmost diversities in terms of geographical distribution, culture, caste, religion, language, rituals and beliefs. We have identified six indicators from available literature viz. social, political, economic empowerment, gender equality, participation in decision making and social status. These indicators were processed on the basis of data collected from women respondents engaged with community radio in their area of residence with the help of SPSS-20 and inferences were drawn pragmatically. The role of community radio (CR) has a moderate positive correlation with Political Empowerment (PE) followed by Gender Equality (GE), Social Empowerment (SE). Indicators like Participation in Decisions (PD), Social Status (SS) have a weak positive correlation. Economic Empowerment (EE) indicator was finally eliminated in the investigation process of women empowerment. We have simultaneously developed an abridged relationship between the dependent indicator and independents indicator that helped to understand the degree of variation in women empowerment that can be explained in terms of the degree of variation in its indicators of community radio. The variation in women empowerment has been explained by the community radio on various indicators and contribution of indicators. ANOVA was used to ascertain the differences in the mean values of all dependent indicators associated with the independent indicator (Women Empowerment). It was used to test the hypothesis with the help of Levene statistics.  F test was used to find out the variance among the variables through the community radio and women empowerment. Key w ords: Community radio, women empowerment, socio-economic development, acrimony. DOI : 10.7176/NMMC/83-02 Publication date :September 30 th 2019
REPLICATION STRATEGY FOR CLOUD COMPUTING

Replication is one of the important roles in cloud computing to improve data availability, fault tolerance and throughput for user and control storage cost. As data access pattern changes every time, the nature of popular files is unpredictable and unstable. The data popularity is taken into account as an important factor in replication. Data popularity in replication impacts an efficient storage because it is able to reduce waste storage for unpopular files. The current HDFS replica placement policy does not consider bandwidth and DataNodes’ storage utilization. Bandwidth and storage utilization are considered in the proposed data placement algorithm in order to achieve faster file access rate and load balancing. This paper introduces a replication strategy for cloud computing. The proposed strategy contains two potions; replica allocation and replica placement. This proposed strategy will be efficient for cloud computing.
A Comparative Study on the Operation of New Elementary Teacher Training Program and Curriculum

[연구목적] 본 연구의 목적은 현재 운영되고 있는 신규 초등교사 연수 프로그램의 운영 및 교육과정을 중심으로 현행 초등 신규교사 임용후보자 직무연수의 특성을 비교 분석하여 개선 방향을 제시함에 있다. [연구방법] 이러한 목적을 달성하기 위해 전국 17개 교육연수원에서 설계하여 운영하고 있는 신규임용예정자 연수를 문헌분석을 통해 비교 분석 하였다. [연구결과] 연구 결과, 신규임용예정자 연수의 형태는 다음과 같이 공통된 특성을 가지고 있다. 첫째, 신규임용예정자 연수의 중요함을 인식하고 5일 이상 기간과 합숙 중심의 연수를 지향하고 있다. 둘째, 신규교사로서 기본적으로 갖추어야할 역량 함양 프로그램을 교육과정에 종합적으로 편성하고 있다. 셋째, 다양한 교육현장 정보를 공유하고 개인의 생각을 자유롭게 표현하는 연수 방식으로 진행하고 있다. [결론] 연구결과에 따라 신규임용예정자 연수의 연수 내용 및 운영 방향을 6가지로 제안하였다. 다만, 본 연구는 직무 연수 계획 및 운영 자료로 한정되어 접근했기 때문에 실제 운영 측면에서의 문제와 개선 방향을 제시하는 데에는 한계가 있을 수 있으며, 이를 보완하기 위한 후속 연구를 기대한다.[Purpose] The purpose of this study is to compare and analyze the characteristics of current elementary school teachers’ job training, [Methods] Literature analysis was conducted based on the new elementary teacher training program plan. [Results] Based on the results of the study, suggestions for improving the training of new appointees are as follows. First, it should be reinforced with various contents - coping ability and problem-solving - oriented training contents in inter teacher & student interaction. Second, we should consider the characteristics (fear and demand) of the new teacher in the step of teacher growth (development). Third, it should be centered on cultivating useful and important core competencies within a limited number of hours. Fourth, the basic course at the national level should be systematically presented, and a training program should be run that characterizes policy directions and tasks for each province. Fifth, interactive debate and dialogue should be strengthened so as to achieve abundant indirect experience and consciousness growth in the teaching profession. Sixth, it is necessary to systemize the job training according to the step of teaching growth (development) and to improve the training through continuous monitoring after the training of the new appointment. [Conclusion] According to the results of the study, six types of training contents and management directions for the new prospective candidate training are proposed. But, this study is limited to job training plan and operation data, there is a limit to suggest problems and improvement direction in actual operation side. Therefore, it is necessary to have various approaches to improve the system of job training.