Reviewerly/exHarmony huggingface dataset:
A survey study on Arabic WordNet: baring opportunities and future research directions

WordNet (WN) plays an essential role in knowledge management and information retrieval - as it allows for a better understanding of word relationships, which leads to more accurate text processing. The success of WN for the English language encouraged researchers to develop WNs for other languages. One of the most common of such languages is Arabic. However, the current state of affairs of Arabic WN (AWN) has not been properly studied. Thus, this paper presents a survey study on AWN conducted to explore opportunities and possible future research directions. The results involve the synthesis of over 100 research papers on AWN. These research papers were divided into categories and subcategories.
Cryptographic hash functions for image processing

In this paper, a novel algorithm based on hash function for image cryptography is proposed. In this algorithm, the key idea is to encrypt half of the image using data from the second half of the image and then apply it to each other. This scheme can achieve high sensitivity, high complexity, and high security. The sole purpose is to improve the image entropy.
Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming

© 2016 IEEE. In computer vision, training a model that performs classification effectively is highly dependent on the extracted features, and the number of training instances. Conventionally, feature detection and extraction are performed by a domain expert who, in many cases, is expensive to employ and hard to find. Therefore, image descriptors have emerged to automate these tasks. However, designing an image descriptor still requires domain-expert intervention. Moreover, the majority of machine learning algorithms require a large number of training examples to perform well. However, labeled data is not always available or easy to acquire, and dealing with a large dataset can dramatically slow down the training process. In this paper, we propose a novel genetic programming-based method that automatically synthesises a descriptor using only two training instances per class. The proposed method combines arithmetic operators to evolve a model that takes an image and generates a feature vector. The performance of the proposed method is assessed using six datasets for texture classification with different degrees of rotation and is compared with seven domain-expert designed descriptors. The results show that the proposed method is robust to rotation and has significantly outperformed, or achieved a comparable performance to, the baseline methods.
Socializing Your WebPAC

&lt;p&gt;Presented at ECIUG, March 2008, University of Ottawa &lt;/p&gt;
Forensic Examination and Identification of Writing Inks on Documents

Ink analysis plays a significant role in questioned document examination, a discipline of forensicscience. Writing inks based on their chemical substances such as solvents, resins, colorants as dyesor pigments, may be distinguished by applying two step methodology including non-destructive orvisual examination and destructive or chemical analysis. Both approaches involve identification andcomparison techniques by contributing certain advantages to the investigation such as Thin LayerChromatography has been marked for a long time. However, forensic scientists have the availabilityof evolutionary methods that led to the use of less destructive techniques including spectroscopy thatminimizes the scope of previous separation techniques. This review paper delivers an outline oftechniques/methods including spectroscopic and chromatographic development with possibleadvantages or drawbacks. The acquired results should be evaluated accurately by paying moreconsideration as providing reliable findings in the court of law is certainly of central significance.
Anaphora Resolution for Myanmar Text Using K-Nearest Neighbor Algorithm

Anaphora resolution which most common ly appears as pronoun resolution is the problem of resolving references to earlier or later items in the discourse.Anaphora resolution is an active area of research, such as text min ing, text su mmarization, dialogue interpretations, information extraction, and so on.Anaphora resolution in English and other European languages has been well done in early.But Myanmar Language has not sufficiently applied.This paper presents Myanmar anaphora resolution system by using rule-based part of speech tagging and machine learning approach.Rule-based manner with morphological informat ion is used to collect anaphora and possible antecedents.K-Nearest Neighbor (k-NN) approach is used to select the most probable candidate as the antecedent of the anaphor.
Effective Usage of Drones in Indoor Manufacturing Sites

The usage of drones for transportation, entertainment and media purposes was greatly increased in the last decade. Major and ambitious improvements are being made in this scientific field to reduce the weight of the units, to increase the amount of stored energy relative to the weight, to make more efficient engines, propellers and bodies to increase the flight time. This study approaches the reduction of energy usage from elsewhere: with proper planning of the drones' routes, the energy usage can be decreased. This approach can also be used in industry purposed drones, like the nowadays highlighted indoor drones, whose purpose they are to do simple logistical tasks near manufacturing areas. In this paper these drones will presented with a new energy use model.
Staffing Application System In The Development And Supervision Of Employees Based On Information Technology (It) In Order To Good Government At Regional Office In The Ministry Of Justice And Human Rights Of Central Java (Case Study At Regional Office of the Ministry of Justice and Human Rights of Central Java)

Based on the study it can be concluded that the implementation of and development of application performance appraisal of civil servants is an assessment of the performance is done at the time of the achievement of targets Employee Work is done in a measured by comparing the actual work with the target set by the organization for each employee, so as to achievement of specified targets at the end of the year. Assessment of Civil Servants implementation work in the Regional Office of the Ministry of Justice and Human Rights of Central Java is done through evaluation methods.Barriers that occur in the Regional Office Law and Human Rights Ministry of Central Java in providing performance benefits as stipulated in the Regulation of the Minister of Law and Human Rights No. 22 of 2014 of which the form has not been found job analysis conducted by management office, employees are not willing / able to develop competency yourself , absence of a good methodology in identifying a job, the boss's behavior is supposed to give an example / role model in encouraging and competencies of subordinates, each employer is aware of the importance of creativity, initiative and a sense of each employee into good consideration in determining the types of work. Efforts are being made by increasing the strong desire of every employee in order to work in accordance with the assessments and improving the competence of oneself, in charging SKP by each employee be done routinely every day to get the direct supervision by the employer concerned, giving performance benefits granted optimally to each employee to the maximum, and the determination of the best boss by the Regional Office of the Ministry of Law and Human Rights, Central Java, so the boss can be an example, determine the class position, and provide the maximum performance benefits in accordance with the capabilities of each employee. Giving performance benefits given up to every employee to the maximum, and the determination of the boss of the best by the Regional Office of the Ministry of Law and Human Rights, Central Java, so the boss can be an example, determine the class position, and provide performance benefits to the maximum in accordance with the capabilities of each employee. Giving performance benefits given up to every employee to the maximum, and the determination of the boss of the best by the Regional Office of the Ministry of Law and Human Rights, Central Java, so the boss can be an example, determine the class position, and provide performance benefits to the maximum in accordance with the capabilities of each employee.Keywords: Staffing Application System; Information Technology (IT); Good Government.�
Sistim Pakar Konseling Mata Pelajaran Pilihan UNBK Menggunakan Metode Forward Chaining

The choice of computer-based national exams is a choice of a student that must be adjusted to his interests and talents, so in this case the selection of majors is very important for the future of a student who will continue his studies to college. But in reality the decisions taken in choosing majors often cause problems, because the majors taken only follow the choice of friends or on the basis of coercion from parents. Causing the large number of students who feel out of line with expectations or abilities and want to change majors. For this reason, an expert system has been made that can make it easy for students to consult early to determine elective subjects for computer-based national examinations. The method used in making this expert system is the Forward Chaining method to determine conclusions. The process of this application is to receive input in the form of types of problems experienced by students. The result of the application is that it can provide early instructions for subjects that match the talents and interests of students. With the application of the forward chaining method that is applied to the system that is governed by the rule type problem. From the accuracy of 89.29%, the system can be said to be good enough to be implemented.
The Problems of Formation of Cognitive and Communicative Competences of Engineering Students

The article is devoted to the analysis of problems of engineering specialists training in Russia. The methodology for the improvement of education quality in higher educational institutions, based on the use of active forms of psychological and pedagogical support in the teaching process, is proposed. The recommendations are developed for the improvement of educational process by teaching staff. The method of psychological and pedagogical support of engineering students training is proposed. Developed methodology is intended for the formation and improvement of psychological support of educational process. Its application contributes to simultaneous formation of cognitive and communicative competences of engineering specialists. An individual approach, with the use of proposed methodology, helps to identify the students’ potential, to control the psychological state and to correct it in a timely manner. For the effective application of the proposed methodology, it is necessary to increase the professional level of teachers, in terms of psychological preparation, and also to involve professional psychologists in the work. The qualitative level of training of modern engineers can be enhanced through the active use in teaching the individual forms of education, taking into account the psychological characteristics of the student’s personality.
AN EXPLORATION OF CDIO-BASED BIG DATA ANALYTICS AND APPLICATIONS COURSE FOR CHEMISTRY STUDENTS

Ability to solve realistic problems in chemical big data, the CDIO model inherits and develops the concept of the significant reform of engineering education in Europe and the United States for more than 20 years, and nearly 40 universities in China have become the demonstration university of China's CDIO engineering education model.China
Closure of the Best and Efficient Searching, Matching and Sorting Algorithms in Descriptive Question Answering System

The first phase of the question answering process is the detailed process of the question analysis. Thus it analyzes what kind of question and how it can be answered. Question analysis uses the parsing and semantic analysis of the dataset. Thus this journal gives the entire impact on how an answer is perfectly retrieved and prioritised.
Supplemental Material: Multiple sources and magmatic evolution of the Late Triassic Daocheng batholith in the Yidun Terrane: Implications for evolution of the Paleo-Tethys Ocean in the eastern Tibetan Plateau

Table S1: Mineral association of samples from the Daocheng batholith; Table S2: LA-ICP-MS U-Pb isotopic data for zircons from the Daocheng batholith; Table S3: Hf isotopic data for zircons from the Daocheng batholith; Table S4: Trace elements data for zircons from the Daocheng batholith; Table S5: Major and trace elements data for the Daocheng batholith; Table S6: Whole-rock Sr-Nd isotopic data of the Daocheng batholith; Table S7: Representative microprobe analyses of amphibole from the Daocheng batholith; Table S8: Partition coefficient for minerals used in geochemical modeling.
Crowd detection and counting using a static and dynamic platform: state of the art

Automated object detection and crowd density estimation are popular and important area in visual surveillance research. The last decades witnessed many significant research in this field however, it is still a challenging problem for automatic visual surveillance. The ever increase in research of the field of crowd dynamics and crowd motion necessitates a detailed and updated survey of different techniques and trends in this field. This paper presents a survey on crowd detection and crowd density estimation from moving platform and surveys the different methods employed for this purpose. This review category and delineates several detections and counting estimation methods that have been applied for the examination of scenes from static and moving platforms.
ANALISIS FAKTOR KINERJA PENGISIAN DOKUMEN REKAM MEDIS RAWAT INAP KLINIK dr. M. SUHERMAN JEMBER

Percentage of incompleteness of filling in the medical records of the Clinic Dr. M. Suherman shows thatthe Minimum Service Standards in the Hospital are not yet 100%. Incomplete data has shown that thecompleteness of filling medical record documents is still not in accordance with the specified standards.The incompleteness of filling out the medical record document may be caused by the performance factorof the officer in completing the inpatient medical record document. The purpose of this study is to analyzethe performance factors in filling out the record documents. The purpose of this study was to analyze theperformance factors in filling out medical records of inpatients at the Clinic dr. M. Suherman Jember. Thisstudy uses qualitative research that aims to identify and analyze performance factors in filling inpatientmedical record documents at the Clinic dr. M. Suherman Jember, who will be associated with performancetheory with personal factors, leadership factors, team factors, system factors, and situational factors, andusing the USG (Urgency, Seriousness, Growth) method to determine the main factors of the 5 factors thataffect performance as well as efforts to correct problems using brainstorming. The results of this studyobtained priority causes of the incompleteness of filling medical records documents for inpatients at theClinic dr. M. Suherman Jember is the lack of awareness of each individual related to filling medical recorddocuments, lack of evaluation and monitoring, lack of socialization, lack of understanding related to SOPfor filling medical record documents because there is no SOP for filling medical record documents, so theClinic, Dr. M. Suherman asked researchers to make SOPs for filling in the records of inpatients. As asuggestion, do a commitment to complete the completeness of filling medical record documents, conductsocialization, evaluation and routine monitoring, as well as making SOP for filling medical recorddocuments.
Evolutionary Computation Access on Incremental Map Reduce for Mining Large Scale Data

In recent era, data updates arrive constantly from different areas like social network, finance, healthcare, ecommerce etc… Hence the data becomes large and computation on it becomes difficult. A framework for mining data earlyand to refresh the computed result with the new data arrival is proposed. The framework includes an incremental mapreduce method on hadoop with evolutionary computation algorithm for reduction in time complexity and increased accuracy. Proposed approach is a key pair level incremental iterative processing to Mapreduce for mining big data and uses particle swarm optimization to avoid recomputation from scratch on the new data arrived. Thereby the I/O overhead gets reduced for accessing predefined states. Experimental results were tested on three iterative algorithms in hadoop showed good performance compared to traditional mapreduce with sequential computation access
Java Script Data Transformation Library using Fork Join Pool and Web Workers Technology

Transforming large amounts of data takes a lot of processing time so that the optimization technique is required. One way that can be used to perform optimization is multithreading. Nowadays, processor is proliferating. The average processor in community is multi-core processor that can do parallel processing. Prior to the emergence of Web Workers, JavaScript is a poor programming language for parallel programming. The emergence of Web Workers allows JavaScript to do a better job in parallel programming. Fork Join Pool is a method that implements the Divide and Conquers algorithm, so it is suitable for the use in multithreading. This data transformation library was created by implementing the ForkJoinPool method using Web Workers technology in JavaScript. This program is written in JavaScript and HTML language. Based on results of testing phase that has been done, it is proven that ForkJoinPool method can be implemented using Web Workers technology in JavaScript as a data transformation library. In addition, it can be concluded that the data transformation library usage affects the speed of data transformation which depends on the data transformation complexity. The higher the complexity of data transformation performed, the effectiveness in the use of data transformation libraries will increase.
Articulating the rationale for the potential uses of the emulators will maximise usability and avoid mis-use

The study is a step forward in crop model emulation and is in principle a useful contribution to the literature.The paper contains a lot of excellent technical work.I focus here on areas for improvement, which I describe as major simply because I think a re-framing is needed in order to ensure that the paper is used well, and is not mis-used in the future.The uses stated in the abstract for the emulators are: "providing a tool that can facilitate model comparison, diagnosis of interacting factors affecting yields, and integrated assessment of climate impacts."It would be good to understand more from the paper about how these different usages are envisaged.In particular, the suggestion that the
How to Conduct a Project Management Maturity Assessment

Once a person is decided that a project management (PM) maturity assessment is right for his/her organization, he/she will be faced with the somewhat daunting realization t hat now he/she has got to actually plan, organize, and implement the assessment. This chapter explores how to find ways to bypass the corporate immune system, how to pick the model that is best for his/her organization, and how to choose an appropriate delivery method. The overall purpose of doing a PM maturity assessment is to identify opportunities for making significant improvements in the way a person manages projects. In turn, such improvements lead to better project outcomes, lower costs, faster results, higher quality, and greater customer satisfaction. But no significant corrective action is possible without the involvement of top management. They are the only ones who can authorize the significant time and resources needed to turn the assessment results into a specific action plan.
Relational algebraic approaches to decision making under uncertainty

Uncertainty is so ubiquitous in most real world problems that understanding the fundamental nature of uncertainty is important.Stochasticity has been shown to be only one of the many dimensions of uncertainty.Uncertainty can be of many types and different methodologies for decision making are applicable in different cases.In cases where probability distributions of uncertain parameters cannot be ascertained with great confidence, robustness of strategies is more important than optimality and hence the robust optimization paradigm is more appropriate.We present a simple polyhedral representation of uncertainty based on robust optimization that can be generated through specification of constraints or easily derivable from historical data with underlying uncertainty.Such representations are a convenient way to summarize large datasets and lead to tractable ways of comparing alternative scenarios or assumptions.We also present a set theoretic relational algebra to qualitatively compare these polyhedral models (polytopes) or alternative sets of uncertainty.The relational algebra arises because of the non-zero measure of these convex polyhedral objects -these are aggregates.We define the subset, intersection and disjoint relational algebraic operators to compare alternative scenarios or assumptions.An intersecting relationship between two polyhedral models based on assumptions means that there is commonality between the two assumptions.Similarly, if one is a subset of the other, then its underlying data is more specific than the other.To facilitate analysis of a large number of such different scenarios with underlying uncertainty sets, we have also developed a novel database with facilities to store and perform such set theoretic analysis of alternative future scenario sets efficiently and easily through simple queries.We call our database as CMdB or Convex Model Database.The database can be coupled to any decision support system to help in decision making and analysis under uncertainty.Hence, with our approach, it is easy to -quantitatively and qualitatively compare one set of future scenarios against another, resolve conflicting future estimations, optimize over such alternatives and relate the optimization outputs to the inputs.We can do this in a tractable manner with a wide variety of constraints and assumptions about the future.We show this in the paper with our examples from supply chain and transportation systems.
Feature selection in evolving job shop dispatching rules with genetic programming

Genetic Programming (GP) has been successfully used to automatically design dispatching rules in job shop scheduling. The goal of GP is to evolve a priority function that will be used to order the waiting jobs at each decision point, and decide the next job to be processed. To this end, the proper terminals (i.e. job shop features) have to be decided. When evolving the priority function, various job shop features can be included in the terminal set. However, not all the features are helpful, and some features are irrelevant to the rule. Including irrelevant features into the terminal set enlarges the search space, and makes it harder to achieve promising areas. Thus, it is important to identify the important features and remove the irrelevant ones to improve the GP-evolved rules. This paper proposes a domain-knowledge-free feature ranking and selection approach. As a result, the terminal set is significantly reduced and only the most important features are selected. The experimental results show that using only the selected features can lead to significantly better GP-evolved rules on both training and unseen test instances. © Mei 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in 'GECCO '16: Proceedings of the Genetic and Evolutionary Computation Conference', https://doi.org/10.1145/2908812.2908822.