Reviewerly/exHarmony huggingface dataset:
PERANCANGAN DATABASE SISTEM INFORMASI AKUNTANSI PENJUALAN DI UD. NIWATORI

The purpose of this research is to understand of data processing and also to design database accounting information system of sales cycle of UD. Niwatori. The company is located in Kuta Malaka, Aceh Besar, which is  engaged on business of livestock and eggs. Nowadays, UD. Niwatori uses manual system in running the business. This situation makes UD. Niwatori difficult in producing information in detail, especially in the sales cycle. In this study, data used is primary data in the form of interviews with parties involved in the sales cycle and secondary data in the form of documents used in the sales cycle. The result of this research is the applicable database management system of sales cycle
Dynamic Structures for Evolving Tactics and Strategies in Team Robotics

The "defender's dilemma" (Figure 2a) involves three players -two red team players and a blue team player.This can be written as <r 1 , r 2 , b 1 > which generalises the notation of network edge.In fact this structure could be written as three binary relations <r 1 , r 2 > + <r 1 , r 2 > + <r 1 , r 2 > but this would be a poor representation because the dilemma involves all the players at once, not just a combination of binary relations.
Report of the ALCTS Technical Services Workflow Efficiency Interest Group Meeting. American Library Association Annual Conference, New Orleans, June 2018

The ALCTS Technical Services Workflow Efficiency Interest Group (TSWEIG) held its meeting at the American Library Association Annual Conference in New Orleans. The session began with a short busine...
Parameter Learning and Change Detection Using a Particle Filter with Accelerated Adaptation

This paper presents the construction of a particle filter, which incorporates elements inspired by genetic algorithms, in order to achieve accelerated adaptation of the estimated posterior distribution to changes in model parameters. Specifically, the filter is designed for the situation where the subsequent data in online sequential filtering does not match the model posterior filtered based on data up to a current point in time. The examples considered encompass parameter regime shifts and stochastic volatility. The filter adapts to regime shifts extremely rapidly and delivers a clear heuristic for distinguishing between regime shifts and stochastic volatility, even though the model dynamics assumed by the filter exhibit neither of those features.
An Image analogy approach for multi-scale Image segmentation

Image segmentation is one of the challenging tasks in image processing. This paper introduces a novel method for image segmentation based on image analogy principle. First, contours of source image are located using 14 pairs of stereo patches. Next, elementary regions, considered as areas between contours located using to successive pairs of patches. Finally, we define border's stability of neighbouring regions which constitutes the measure for regions merging. Three scales are defined giving three segmentations at three resolutions (low, intermediate and high). Experiments conducted on Wiezmann dataset, the obtained results are presented and compared to the state-of-the-art.
MONCrypt: A Technique to Ensure the Confidentiality of Outsourced Data in Cloud Storage

Cloud provides storage for enterprises to store their data in virtual storage. Enterprises outsourced their data but security of data in cloud storage is not guaranteed. If anything wrong happens on the data, the users suspect the cloud storage providers. Ensuring the confidentiality of outsourced data plays a vital role in the cloud security. To ensure the confidentiality of outsourced data, this paper proposes a technique called MONcrypt. MONcrypt is based on obfuscation technique. Obfuscation is a process of masking the original text into irrelevant text without using any key unlike encryption. MONcrypt uses key for de-obfuscation. This novel obfuscation technique is used to ensure the confidentiality of outsourced data in cloud storage. The paper compares the proposed technique with existing technique like Base32, Base64, hexadecimal en coding, DES, 3DES and Blowfish. The proposed technique shows better performance and security compared with the existing techniques.
Stochastic Channel Decorrelation Network and Its Application to Visual Tracking

Deep convolutional neural networks (CNNs) have dominated many computer vision domains because of their great power to extract good features automatically. However, many deep CNNs-based computer vison tasks suffer from lack of training data while there are millions of parameters in the deep models. Obviously, these two biphase violation facts will result in parameter redundancy of many poorly designed deep CNNs. Therefore, we look deep into the existing CNNs and find that the redundancy of network parameters comes from the correlation between features in different channels within a convolutional layer. To solve this problem, we propose the stochastic channel decorrelation (SCD) block which, in every iteration, randomly selects multiple pairs of channels within a convolutional layer and calculates their normalized cross correlation (NCC). Then a squared max-margin loss is proposed as the objective of SCD to suppress correlation and keep diversity between channels explicitly. The proposed SCD is very flexible and can be applied to any current existing CNN models simply. Based on the SCD and the Fully-Convolutional Siamese Networks, we proposed a visual tracking algorithm to verify the effectiveness of SCD.
Challenges and Opportunities in Analytics of Big Data

In this paper, a statistical analysis vs. machine learning approach is presented. The main drawbacks of the classical statistical techniques are emphasized. The 3-staged process of data mining and its main methods have been discussed. The focus lays at the main advantages of neural networks in data analysis process. The conclusion is that every method for big data analysis has its application according to the specifics of the data and its required analysis.
YANG Module for Basic Challenge-Response-based Remote Attestation Procedures

This document defines a YANG RPC and a minimal datastore tree requiredto retrieve attestation evidence about integrity measurements from acomposite device with one or more roots of trust for reporting.Complementary measurement logs are also provided by the YANG RPCoriginating from one or more roots of trust of measurement. The moduledefined requires a TPM 2.0 and corresponding Trusted Software Stackincluded in the device components of the composite device the YANGserver is running on.
Name-Based Service Function Forwarder (nSFF) component within SFC framework

Adoption of cloud and fog technology allows operators to deploy asingle to multiple Execution locations. Thedecision to steer traffic to a specific location may change frequentlybased on load, proximity etc. Under the current SFC framework,steering traffic dynamically to the different execution end pointsrequire a specific 're-chaining', i.e., a change in the servicefunction path reflecting the different IP endpoints to be used for thenew execution points. This procedure may be complex and take time. Inorder to simplify re-chaining and reduce the time to complete theprocedure, we discuss separating the logical Service Function Pathfrom the specific execution end points. This can be done byidentifying the Service Functions using a name rather than a routableIP endpoint (or Layer 2 address). This document describes thenecessary extensions, additional functions and protocol details in SFF(Service Function Forwarder) to handle name based relationships. Thisdocument presents InterDigital's approach to name-based servicefunction chaining. It does not represent IETF consensus and ispresented here so that the SFC community may benefit from consideringthis mechanism and the possibility of its use in the edge datacenters.
Motives and Patterns of University Students Use of Social Media Networks (Sociological Study on University of Jordan Students)

This study primarily aims to study and analyze use of social media networks by University of Jordan (UJ) students and the role these networks play in formulating students' values. To achieve this objective, the study was based on the descriptive analytical method. The study sample consisted of 500 male and female students who are social media networks users. Sample members of the were chosen selectively (Purposive Sampling). The researchers used SPSS software to analyze data based on a number of statistical tests, such as: T-test and Pearson correlation coefficient.The study came up with several results, most importantly: UJ students use social media networks more than three hours daily (62.4%). (68.4%) of them use those web websites seeking friendship and they are keen to use their real names to communicate with others. Results also indicated that the most important motive for UJ students use of social media networks is to get introduced to the opinions of others on various issues in their communities. The results also indicated that UJ students estimate a high impact of social media networks on formulating positive values. On the other hand, their estimates of social media networks contribution in formulating negative values were of medium impact.The results showed that there were statistically significant differences at significance level of (α= 0.05) in JU students estimates on the role of social media networks in formulating positive values. These differences were in favor of females. On the other hand, The results showed that there were statistically significant differences at significance level of (α= 0.05) in JU students estimates on the role of social media networks in formulating negative values. These differences were in favor of males. Based on the previous results, the study came up with a number of recommendations related to the study results.
KLASIFIKASI PEMEROLEHAN NOMINA (KAJIAN PSIKOLINGUISTIK PADA ANAK USIA 3-5 TAHUN)

This research is motivated by the researcher's curiosity about the acquisition of noun words in children aged 3-5 years. Aims to know the classification of the basic noun words, derived nouns, and reduplications. This research started with observation activity to Respondent 1 3 year old, Respondent 2 4 years old, and Respondent 3 aged 5 years. After observing the 3 respondents, the researcher collects the data and processes the data using qualitative descriptive method, that is the method that describes the fact or fact according to the data obtained. This research is descriptive, meaning that the vocabulary that shows noun will become the main data of research. The results of the study show the class classification of basic Nomina, derived Nomina and Reduplication. Respondents 1 who were 3 years old received 50 words of base noun, 8 said nouns, 3 words reduplication. Respondents 2 4 years old received 43 words of base noun, nine derived nouns, 7 words reduplication, and Responde 3 aged 5 years obtained 73 words nouns, 7 words nouns derived, 6 word reduplication.
Death Surge the gripping Inspector Andy Horton crime novel published in new format

DEATH SURGE, the tenth in the Inspector Andy Horton series of crime novels has been published in Large Print, paperback, as an ebook, on Amazon Kindle and as an unabridged audio book
Automated Identification and Counting of Proliferating Mesenchymal Stem Cells in Bone Callus

The assessment of cell count is essential for the evaluation of biological cell proliferation development. Manual counting can be time consuming and subject to human error as it depends on visual inspection. On the other hand, automated counting using software based morphological analysis can eliminate or reduce these disadvantages and provide statistical reliability. In this study, we employ a software-based method for the automated counting of mesenchymal stem cells (MSCs) proliferation in the bone callus of Wistar rats to evaluate fracture healing. The proposed method started with extracting the green component of the digital image acquired using a light microscope. The subsequent stages involved: contrast enhancement, adaptive thresholding and false detection reduction. This method was tested using 48 MSCs images and the results were evaluated by a specialist. The average of precision, recall and F-measure were found to be 87.14%, 88.04% and 87.50% respectively.
Accessibility Evaluation in Biometric Hybrid Architecture for Protecting Social Networks Using Colored Petri Nets

In the last few decades, technological progress has been made important information systems that require high security, Use safe and efficient methods for protecting their privacy. It is a major challenge to Protecting vital data and the ability to threaten attackers. And this has made it important and necessary to be sensitive to the authentication and identify of individuals in confidential network systems. In this paper, a method is presented for protecting privacy in social networks with a hybrid biometric architecture. In the proposed method, was used to the combination of biometric indexes of fingerprints and iris effect to maintain confidentiality in user access and authentication. Also, to demonstrate the availability of the method, an accurate evaluation is made by creating a model that is implemented with the help of integrated modeling language and colored petri nets with strong mathematical backing. The results indicate improved access and privacy with high confidentiality
Modeling and Analysis of the Influence of Costal Remediation and Repair Management Project on the Coastal Erosion and Siltation

Zou, T., 2018. Modeling and analysis of the influence of costal remediation and repair management project on the coastal erosion and siltation. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 305–308. Coconut Creek (Florida), ISSN 0749-0208.In view of the problem that the modeling results of the current coastal erosion and siltation by using the current modeling mothed are not ideal, the modeling efficiency is low and the flexibility is poor, the modeling method of coastal erosion and siltation based on numerical simulation is proposed. The sediment transport equation is calculated by the critical shear stress, sediment carrying capacity and particle sedimentation velocity, and the numerical simulation results of the influence of costal remediation and repair management project on the coastal erosion and siltation are obtained according to the obtained parameters. According to the simulation results, the parameters of submerged depth, submerged flow velocity and silt time in the characteristics of water depth in tidal flat are calculated, and the parameters and variable factors are combined to complete the construction of coastal erosion and siltation model. The experimental results show that the modeling results are highly fitted to the actual values, the modeling speed is fa st, and the flexibility coefficient is large.
Petrogenesis of Cretaceous kimberlites from the Paranatinga Region, central Brazil

The Paranatinga kimberlite province is located in Mato Grosso, central Brazil (14°S, 54°W).It was emplaced on the southern margin of the Amazonas craton, to the north of the Parana basin and consists of approximately forty pipes, distributed over an area of -4,000 km2.New petrological and geochemical data from nine of these intrusions will be presented.The Brazilian kimberlites analysed to date are isotopically intermediate between Group I and Group II South African kimberlites, possibly reflecting discrete differences in their genesis.Further analyses are required to establish whether these intermediate isotopic compositions are a function of differing post-genesis interaction, or a fundamental feature of their source.
Rancang Bangun Alat Ukur Curah Hujan Dengan Metode Timbangan Menggunakan Sensor Fototransistor Berbasis Arduino Uno

The measuring instrument of rainfall with weightscale system using phptotransistor NPN type, designed for measuring the value of rainfall wich fell down with using LED light. The instrument designed using data processor Arduino Uno, timer DS1307, and micro SD The testing instrument was do in BMKG Bandara Radin Inten II South of Lampung. The analog data has results by phototransistor will be processed by Arduino Uno and the results data of rianfall  which  saved in the micro secure digital and  displayed by the Liuquid Crystal Dislay (LCD) with delay 1 second. The control system instrument using a valve solenoid with volume reference 500 ml. The instrument resolution has results was equal 0,19 mm and the instrument capable to read the minimum of vilume change up to 2 ml. Avarage of error from measuring instrument was equal to 5,7 %.
A Preliminary Study on Cloud Computing and Its Virtualization

Cloud Computing plays an important role in the era of internet. The goal of cloud computing is to transport the services and resources on request. It provides flexible infrastructure and easy way of handling a massive data necessary to run organization successfully. With the Cloud computing growth and inclusive development of data, Cloud storage / technology gets more effort and better expansion to attract multiple number of users. Users depend on the powerful . Storage capacity / of cloud storage. However, in this storage representation, users’ data is all stowed in cloud servers. In other word, users miss their right of control on data and face privacy leakage risk. In this paper, we surveyed the evolution and types, virtualization, advantages, disadvantages of the cloud computing.
Inovação em Serviços de Informação no contexto da Biblioteca Central da Universidade Estadual de Londrina (UEL): uma análise do ponto de vista dos nativos digitais

The research searched analyse, from the point of view of the digital immigrants, the concept of academic library, as well to find wich are the expectations and needs that this kind of public hope the library. To contextualize the universe of the research were adressed themes like innovation, design thinking and academic libraries. It’s characterized as na study case, exploratory and qualitative.The triangulation of the datas was made through the literature study, observation and focus group. As results was possible to note some questions: the use that academic community has made of the library space has changed, the offer of wireless internet is a attractive for the use of this space, the information and comunication technology has allowed to customise the offer services according to different kinds of public that the library attend.
Calibration of Constraint Promotion Does Not Help with Learning Variation in Stochastic Optimality Theory

The Calibrated Error-Driven Ranking Algorithm (CEDRA; Magri 2012 ) is shown to fail on two test cases of phonologically conditioned variation from Boersma and Hayes 2001 . The failure of the CEDRA raises a serious unsolved challenge for learnability research in stochastic Optimality Theory, because the CEDRA itself was proposed to repair a learnability problem ( Pater 2008 ) encountered by the original Gradual Learning Algorithm. This result is supported by both simulation results and a detailed analysis whereby a few constraints and a few candidates at a time are recursively “peeled off” until we are left with a “core” small enough that the behavior of the learner is easy to interpret.
UGSD: User Generated Sentiment Dictionaries from Online Customer Reviews

Customer reviews on platforms such as TripAdvisor and Amazon provide rich information about the ways that people convey sentiment on certain domains. Given these kinds of user reviews, this paper proposes UGSD, a representation learning framework for constructing domain-specific sentiment dictionaries from online customer reviews, in which we leverage the relationship between user-generated reviews and the ratings of the reviews to associate the reviewer sentiment with certain entities. The proposed framework has the following three main advantages. First, no additional annotations of words or external dictionaries are needed for the proposed framework; the only resources needed are the review texts and entity ratings. Second, the framework is applicable across a variety of user-generated content from different domains to construct domain-specific sentiment dictionaries. Finally, each word in the constructed dictionary is associated with a low-dimensional dense representation and a degree of relatedness to a certain rating, which enable us to obtain more fine-grained dictionaries and enhance the application scalability of the constructed dictionaries as the word representations can be adopted for various tasks or applications, such as entity ranking and dictionary expansion. The experimental results on three real-world datasets show that the framework is effective in constructing high-quality domain-specific sentiment dictionaries from customer reviews.
Language-independent acoustic cloning of HTS voices

Speaker adaptation techniques can be classified as intra-lingual or cross-lingual depending on whether or not the source model and the target speaker employ the same language. Most of the work in this field has been focused on the first case, while the second one has been less explored. In this paper we address the cross-lingual paradigm in the framework of a HMM-based speech synthesis system by further developing a formerly proposed approach. This method is able to clone a given speaker into a different language by combining the linguistic structure and the acoustic characteristics of two HTS models. In this work, we discuss the extension of the adaptation procedure to some other source model parameters that were kept unmodified in the initial version, and compare the performance of both versions by means of subjective and objective tests. These results are also contrasted with those obtained by a KLD-based technique proposed in the literature for a similar purpose. While no significant preference for any of the versions of our method is observed, our approach clearly outperforms the KLD-based technique.
HAND GESTURE CONTROLLED WHEELCHAIR

Wheelchair allows physically impaired people to move from one position to another. The wheelchair makes the physically impaired people independent. There are varies types of wheelchairs available in market. In this project the manual wheelchair is converted into the electric hand gesture-controlled wheelchair. The different hand gestures are assigned to different motions of the wheelchair. To identify the hand gestures the Accelerometer MPU6050 is used, which measures the angle of tilt in two axis and to read the output of MPU6050 the Arduino Uno is used, which takes the corrective action as per the different hand gestures assigned to each and every motion of wheelchair. To control the motion of wheelchair the relay modules are used which controls the rotation of motor. The operation of relay is controlled using an Arduino Uno and Arduino takes corrective action on the relay as per the sensor output which depends on the hand gesture. This type of chair is useful for handicap people and it makes them independent.
Individualized Education

The core of humanism is people oriented.The individualized education,with humanism's ideology in it,is the stretch and diffraction of humanism in education.Individualized education is the education which is adapted to the level of individual ability by considering the differences of students' intelligence,social background,emotion and physiology,and realizing the students' interests and strong points.It is a process of diverse teaching,comprehending,sharing and creating love,advancing significance and valuing individual life in essence.