Reviewerly/exHarmony huggingface dataset:
ANALISIS RISIKO PAJANAN GAS AMMONIA (NH3) PADA PEKERJA DI BAGIAN PABRIK AMMONIA I PT PETROKIMIA GRESIK

ABSTRACT PT Petrokimia Gresik is the Complete Fertilizer Manufacturer in Indonesia which produces various kinds of fertilizers and chemicals for agro-industrial solutions. Ammonia (NH3) is one of the results of chemical production at PT Petrokimia Gresik which poses a risk to the health of ammonia factory workers at PT Petrokimia Gresik. The purpose of this study is to analyze the risk of exposure to ammonia (NH3) gas in ammonia I factory workers of PT Petrokimia Gresik.This study is a descriptive survey using Environmental Health Risk Analysis approach. The data analysis method used was risk analysis to determine the risk characterization of PT Petrokimia Gresik ammonia (NH3) I workers. The level of risk is said to be safe if RQ ≤ 1, and the level of risk is said to be unsafe if RQ&gt; 1.The results showed that the average concentration of ammonia (NH3) gas was 6.6 mg / m3, the highest concentration was 9.2 mg / m3, the lowest concentration was 4.3 mg / m3. The physical air environment obtained at an average air temperature of 36oC, the average air humidity was 43%, the average wind speed was 0.85 m / s and the wind direction when the measurements blew from the West and East. Agents at risk of causing health problems to workers at ammonia I factory of PT Petrokimia Gresik were ammonia (NH3) gas in the work environment air sourced from the ammonia (NH3) gas production process, and 57% of the ammonia I factory workers of PT Petrokimia Gresik had a history of respiratory disorder. The response dose of ammonia (NH3) gas was 5x10-1 mg / m3. All ammonia I factory workers at PT Petrokimia Gresik obtained a minimum concentration, average concentration and maximum concentration of RQ &lt;1.From the results of the study it can be concluded that the level of risk of exposure to ammonia (NH3) gas in ammonia I factory workers of PT Petrokimia Gresik is safe and not at risk of developing respiratory tract disorders, because the concentration is minimal, average concentration and maximum concentration does not exceed risk (RQ). It is recommended that the ammonia I plant manager of PT Petrokimia Gresik keep monitoring and evaluating the air pollution control and prevention system regularly. Key words: Risk Analysis, Ammonia Gas (NH3), Workers
A PCB-oriented Path Planning for AOI Full Coverage Field of View

The AOI is an important means to improve the quality of PCB. One of its core technologies is how to plan the inspection path reasonably to ensure the full coverage of electronic components within the range allowed by the camera field of view, and to complete the path planning efficiently. It is found that hierarchical clustering and iterative self-organizing field planning algorithms have problems in sensitive initial conditions, large amount of computation and high overlap rate of different field of view components through the study of field of view and path planning. Therefore, an improved full coverage field of view planning method is proposed in this paper, which utilizes an area weight method in the process of merging grid to reduce the number of final clustering. Based on this, an insertion algorithm with variable neighborhood strategy is proposed to ensure the time complexity of the algorithm and to realize the local optimization of the photo path.
Gymnastic Posture Detection Based on Deep Learning

Attitude detection can help the gymnast's posture movements correct. The general method is to extract the contour of the moving target in a video frame, but this method has poor real-time performance and low accuracy. To this end, this paper proposes a deep learning real-time attitude detection method to detect the posture of gymnasts. Input an image, extract features through the convolutional network, correctly link the detected key points of the human body in the picture, and finally merge them into one's overall skeleton to detect the posture of the gymnast. The method has good real-time performance and accuracy high.
RIVER CLIFF REINFORCEMENT EFFORTS BY APPLICATION OF COMBINATION OF DAM STONE, GABION, TETRAPOD, AND BAMBOO FLOW ALIGNER

The purpose of research : (1) determine the ratio between the combination of retrofitting tetrapod-bamboo alignment-tetrapodÂ Â (FP1); bamboo flow aligner-tetrapod-bamboo flow aligner (FP2); Check Dam Stones-Gabion-Check Dam Stones (FP3); Gabion-Check Dam Stones-Gabion (FP4)? (2) The effectiveness of the combination of strengthening the tetrapod-bamboo aligner-tetrapodÂ Â (FP1); bamboo flow aligner-tetrapod-bamboo flow aligner (FP2); Check Dam Stones-Gabion-Check Dam Stones (FP3); Gabion-Check Dam Stones-Gabion (FP4)?Using the experimental method by creating a Labolatorium scale river model. Testing using clay and sand. The test model is a cliff without reinforcement and cliff with a combination of reinforcement between tetrapods; bamboo flow aligner; check Dam stones and Gabions. Testing by flowing water for 180 minutes/3 hours with a constant discharge of 7.07 liters/second, the installation of reinforcement is 51 cm apart.The results showed that (1) In general, the effect of the FP1 reinforcement installation was the variation of the combination that was considered the best in reducing scouring on the cliffs and riverbeds. (2) Variation of the combination of FP1, is more effective in reducing the scouring that occurs. At the beginning of the channel turns from STA 00-06 effectively used tetrapod installation, with scours that occur as big as -5 cm, in the middle of the STA channel 06-16 effectively using the installation of bamboo flow aligner, scours that occur as much as -1.5 cm, whereas at At the end of the turn, STA 17-24 used tetrapod installation, scouring by -3.8cm.Keyword: scouring, bamboo flow aligner, tetrapod.
Survey Paper on Hybrid Approach for Twitter Sentiment Analysis using Supervised Machine Learning Algorithms

Social Media sites like twitter have billions of people share their opinions day by day as tweets.As tweet is characteristic short and basic way of human emotions.So in this paper we focused on sentiment analysis of Twitter data.Most of Twitter's existing sentiment analysis solutions basically consider only the textual information of Twitter messages and strives to work well in the face of short and ambiguous Twitter messages.Recent studies show that patterns of spreading feelings on Twitter have close relationships with the polarities of Twitter messages.In this paper focus on how to combine the textual information of Twitter messages and sentiment dissemination models to get a better performance of sentiment analysis in Twitter data.To this end, proposed system first analyses the diffusion of feelings by studying a phenomenon called inversion of feelings and find some interesting properties of the reversal of feelings.Therefore we consider the interrelations between the textual information of Twitter messages and the patterns of diffusion of feelings, and propose random forest machine learning to predict the polarities of the feelings expressed in Twitter messages.As far as we know, this work is the first to use sentiment dissemination models to improve Twitter's sentiment analysis.Numerous experiments in the real-world dataset show that, compared to state-of-the-art text-based analysis algorithms.
Application of the principles of pedagogical design in the design of informatics lessons

Problem and goal. The article deals with different approaches to the use of pedagogical design for the construction of the educational process, the problem of designing lessons with the use of pedagogical design. The aim was to identify the features of using the principles of pedagogical design for the organization of the educational process. Methodology. The analysis of different approaches to the use of the principles of pedagogical design in the school curriculum, in teaching computer science. The analysis of curricula, manuals, dissertations, conference materials on GEF and the study of scientifi literature on pedagogical design and its application in the educational process. Results. The principles of the educational process of Robert Gagne with the use of pedagogical design are considered. Various approaches to the use of the principles of pedagogical design in computer science lessons, including multimedia resources, information technologies, the platform of the Moscow Electronic School, are analyzed. Conclusion. The study showed that to maintain the continuity of the educational process is a holistic approach to the development and implementation of training programs in informatics using principles of instructional design, which also contributes to support the educational learning environment.
Moving towards a Non-Dyadic View on Service Systems and its Operationalization – Applying the Hypergraph-based Service System Model

In today's VUCA world, that is characterized by high volatility, uncertainty, complexity and ambiguity, service provisioning is required to realize flexible and adaptable reconfiguration of service delivery systems and its stakeholders' resources.However, services are often embedded in greater service systems and the context information of both customer and service provider form both its boundary conditions the suitable solution service.To capture the complexity and leverage the dynamic of service systems, we propose the formal service system model (SSM) method.Following general systems theory, we define boundaries for service delivery and show SSM's applicability for ad-hoc service operations.We show its usefulness for structuring a service system for service operations, specifically scheduling, planning, and pricing of service provisioning.We contribute to service systems engineering by applying one generalizable mathematical model for both structuring and operationalizing service systems and provide insights in-to capturing the complex relationships of its components
Pengembangan Media Pembelajaran Berbasis Android Pada Mata Kuliah Fisika Dasar

The aim of the research is to develop an Android-based learning media on basic physics courses in informatics engineering at STT Ibnu Sina which is valid, practical, effective. This study uses a method with Four-D design applied to develop and test the validity, practicality and effectiveness of android-based learning media. The stages of the research include defining, designing, developing, and distributing. The results of testing the validity of Android-based learning media indicate that the learning media are valid. Based on the response of lecturers and students about the practicality of instructional media shows that learning media is very practical and based on student learning outcomes indicate that the Android-based learning media has been effectively used in basic physics learning. The results of data analysis show that Android-based learning media is better in improving student learning in the basic physics learning process. Then concluded that the Android-based learning media can be applied in learning basic physics. Android-based learning media can be developed more broadly along with technological developments in the learning process.
The Influence of Syntactic and Semantic Information on Korean Word Processing: An ERP Study

An ERP experiment was conducted to investigate the semantic and syntactic processes as well as their interplay in Korean lexical integration using the primed lexical decision task paradigm. In this study, participants were presented with Korean noun phrases consisting of the prime Eojeols and the target words in four conditions: either congruent, syntactically incongruent, semantically incongruent, or both syntactically and semantically incongruent between the prime and the target. As a result, the ERP patterns of the congruent and incongruent conditions, recorded during the lexical decision on the target words, were compared. The syntactic violation, which consisted of adverb-noun combinations, elicited early left anterior negativity (ELAN) but nor P600 neither LAN (left anterior negativity). The semantic violation, which was created by semantically incongruent adjective-noun combinations, evoked early starting N400. More importantly, it was noted that the syntactic violation combined with the semantic violation did not cause greater N400 comparing to the semantic violation alone, indicating no interaction of the semantic violation with the syntactic one at N400. These findings suggest syntactic and semantic information may be processed sequentially and independently at the phrase level, and a well-formed phrase structure may not be necessarily a prerequisite for the semantic integration.
A Novel Bit-level Image Encryption Algorithm Based on Coarse-grained Chaotic Signals

In this paper, a novel image encryption algorithm based on coarse-grained chaotic signals in which scrambling and diffusion are both covered. First, the chaotic signals are handled with unfixed coarse-grained key instead of been utilized directly. Second, both original image and derived chaotic signals are divided into bit signals form pixel values. In addition, high bits and low bits are also separated. Third, the high bits and low bits are scrambled with different methods at the same time and combined bit signals after scrambling are used to get the final results by global diffusion. At last, the image is encrypted and a corresponding decryption is designed to recover the encrypt image. In the simulation, properties including key space, information entropy, correlation analysis, key sensitivity and resistance to differential attack are provided to show the effectiveness and robustness of the high secure image encryption algorithm.
Comparative performance analysis of optimized round robin scheduling(ORR) using dynamic time quantum with round robin scheduling using static time quantum in Real Time System

One of major component of operating system is task scheduling for the optimum utilization of the resources. Round Robin had been an effective task scheduling method so far, but it has certain limitations. It uses static time quantum which sometimes leads to starvation. The proposed Optimised Round Robin is a modified version of the existing Round Robin scheduling which results in better average time and average turnaround time and overall increase in the performance. The comparative analysis is being done that indicates ORR gives improvement in the system performance.
Space Efficient $GF(2^m)$ Multiplier for Special Pentanomials Based on $n$ -Term Karatsuba Algorithm

Recently, new multiplication schemes over the binary extension field GF(2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</sup> ) based on an n-term Karatsuba algorithm have been proposed for irreducible trinomials. In this paper, we extend these schemes for trinomials to any irreducible polynomials. We introduce some new types of pentanomials and propose multipliers for those pentanomials utilizing the extended schemes. We evaluate the rigorous space and time complexities of the proposed multipliers, and compare those with similar bit-parallel multipliers for pentanomials. As a main contribution, the best space complexities of our multipliers are 1/2 m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> + O(m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3/2</sup> ) AND gates and 1/2 m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> + O(m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3/2</sup> ) XOR gates, which nearly correspond to the best results for trinomials. Also, specific comparisons for three fields GF(2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">163</sup> ), GF(2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">283</sup> ), and GF(2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">571</sup> ) recommended by NIST show that the proposed multiplier has roughly 40% reduced space complexity compared to the fastest multipliers, while it costs a few more XOR gate delay. It is noticed that our space complexity gain is much greater than the time complexity loss. Moreover, the proposed multiplier has about 21% reduced space complexity than the bestknown space efficient multipliers, while having the same time complexity. The results show that the proposed multipliers are the best space optimized multipliers.
Implementasi Sinkronisasi Database Berbasis RESTful Web Services pada Aplikasi Presensi

3PM Solution is one company with high employee mobility. To make a presence, a mobile presence system uses an application, so employees do not have to be present in the official to attend. However, new problems arise when employees cannot to the internet, which causes employees to be unable to attend. To overcome these problems, a synchronization method will be implemented which allows the application to run offline so that it does not have dependency on the internet network. Based on the research result obtained that the synchronization method is able to make the presence application run offline. The application is able to get 100% success from a total a 25 repetitions of offline attendance simulation and synchronization of attendance data in the testing process.
Image Super Resolution Based on Fully Convolutional Multi-path Model with Adaptive Skip Connection

Notable success is achieved by deep learning based method in the field of single image super-resolution(SISR). However, the monotonous chain-like design of neural network is widely used among those achievement, which the model could not adequately utilizing the characteristic of different neural network architecture. In this paper, we propose SISR based on a learning-based multi-path with adaptive skip connection model in order to enhance the ramification of super-resolution reconstruction and to fully explore the characteristic of diverse neural network architecture. The proposed method utilizes the characteristics that is coming from different architecture to extract the high-frequency and low-frequency feature of the original image separately through the deep and shallow path. The adaptive skip connection is deployed in the deep path to boost the correlation of the feature extracted which is coming from different layers. The last part that the fusion and reconstruction module use the features which were extracted by previously different path to construct the high-resolution version of the origin image. Urban100 is adopted to train proposed model. Set5, Set14 and BSD100 are utilized to test our model trained. Experimental result verify that the proposed method surmounts the other comparative method and perform well.
Digitalization of the Accounts Chamber of the Russian Federation

Due to the analysis of the functioning of the information systems of the Accounts Chamber of the Russian Federation, some problems were found: a substantial part of the accumulated data is outdated and needs clarification, storing data in different formats does not allow analyzing them and others. The key purpose of this work is to identify ways for improving external financial control through the implementation of digital technologies. The research methodology provides for two approaches of the digitalization of state financial control: development of existing information systems to improve their efficiency; creation of a unified digital environment — a digital platform of control bodies based on a transactional approach. According to the results of the study, the authors on the blockchain platform (Hyperledger) created a model of interaction between the Accounts Chamber and the Federal Treasury, the object of the control. On the other hand, the article focuses on the prospects for analysing information in real time, using machine learning. The theoretical and practical significance of the study is to justify the necessity for development a common vision of the functional architecture of solutions proposed by the internal and external financial control authorities.
PEMBELAJARAN MENULIS ESAI DENGAN PENDEKATAN KONTEKSTUAL DAN MEDIA VIDEO DI KELAS XI SMA DARUL ‘ULUM SUGIO

This research aims to download have been described : (1) the activity of the students on learning to write essays with a contextual approach and video media, (2) the activity of the teacher in the learning of essay writing with the contextual approach and video media, (3) student learning completeness on learning to write a contextual approach to essay and video media, and (4) student response on learning to write essays with the contextual approach and media video in class XI SMA Darul Ulum Sugio. This type of research is research qualitative and quantitative test results through the application of approaches and learning media. The population of this research is the learners class XI SCIENCES 2 SMA Darul Ulum Sugio. This research data obtained through observation sheets students, teacher observation sheets, test write essays, and question form. The results showed that the application of the approach Contextual Teaching and Learning (CTL) and video media on learning writing essay very effectively applied. Ditinjau of the student activity categorized either by percentage of 87% or effective to apply, review of teacher's activity categorized either by percentage amounted to 93.75% or effective to apply, review of ketuntasan learning students categorized either by a percentage of 75% effective or to be applied, in terms of response students categorized very well with the percentage of 91.96% or effective to apply.&#x0D;
Globalization and Corporate Governance Mechanism, Engine of Change

This study is undertaking to investigate the effect of the various dimensions of globalization on corporate governance sub-indices of listed companies in Nigeria and Ghana. The study used a panel data of nonfinancial companies listed on Nigeria and Ghana stock exchange for the period 2012 – 2016 with total observation of 510. Using KOF Globalization Index which entails composite index measuring economic, social and political dimension of globalization. It was discovered that all the dimensions of globalization influence the corporate governance mechanisms. The impact of globalization on sectors of the economies clearly shows that West African countries have been greatly influenced by globalization for resource utilization and improvement in living standard. Although poverty still seems to be high, it is of no doubt that globalization has sharpened the economic efficiency and sustainable growth and financial stability base on continuous improvement on corporate governance mechanisms for the achievement of better economic stability.
Edge Prior Multilayer Segmentation Network Based on Bayesian Framework

In recent years, methods based on neural network have achieved excellent performance for image segmentation. However, segmentation around the edge area is still unsatisfactory when dealing with complex boundaries. This paper proposes an edge prior semantic segmentation architecture based on Bayesian framework. The entire framework is composed of three network structures, a likelihood network and an edge prior network at the front, followed by a constraint network. The likelihood network produces a rough segmentation result, which is later optimized by edge prior information, including the edge map and the edge distance. For the constraint network, the modified domain transform method is proposed, in which the diffusion direction is revised through the newly defined distance map and some added constraint conditions. Experiments about the proposed approach and several contrastive methods show that our proposed method had good performance and outperformed FCN in terms of average accuracy for 0.0209 on ESAR data set.