Reviewerly/exHarmony huggingface dataset:
THE DISTRIBUTION DENSITY OF SQUARE VALUE PROBABILITIES FUNCTIONALITY FROM TRAJECTORIES OF WIENER PROCESS

In the article authors develop an approach to calculating the statistic development probability for composite functions of square values in Gaussian casual process trajectories. Calculating distribution density for additive composite functions is based on standard Wiener process trajectories. Authors have developed a density formula for uniformly convergent decomposition, with x = 0. The convergence is exponentially fast. The calculation of the approximated probability is presented:
3-D geochemical modelling of molybdenum mineralization at the East flank of Serhiivka complex Au-Mo deposit

SUMMARY Serhiivka is a complex Au-Mo deposit of Middle Dnipro granite-greenstone province of Ukrainian Shield, that is situated in the southern part of Sura greenstone belt. The Serhiivka deposit an be subdivided into two ore sites – Central Serhiivka with predominant gold mineralization and East Serhiivka that is characterized by predominant distribution of molybdenum mineralization. This paper discusses 3-D model created on the base of chemical and geochemical data available for the East flank of Serhiivka deposit. Dataset includes 137 boreholes, 12026 samples and 109314 analyses. Mineralization patterns and distribution features of Mo, Au, Cu and Ag are studied with application of following software programs – Isatis (three-dimensional variogram analysis, three-dimensional geostatistics), ArcGis (mapping of two-dimensional data array, two-dimensional constructions) and EMS-I GMS (mapping of three-dimensional data array, three-dimensional geostatistics). In future, 3-D model created might be used for optimal location of exploration borehole grid and mine workings at subsequent stages of exploration and possible exploitation of Serhiivka complex Au-Mo deposit.
The Application Of Spatial Analysis And GIS Modeling At The Stage Of Solving The Reverse Problem In Mathematical Modeling Of Geofiltration

Summary In order to effectively manage the water resources, the qualitative and quantitative indicators are estimated using the mathematical models. At the same time the application of these models on the local areas becomes more complex due to the lack of detailed information about the groundwater. For this purpose, the authors studied the functionality of GIS application in the process of mathematical modeling of geofiltration. To provide the reliable approximation of the discrete entrance data, necessary for building the geofiltration model at the stage of solving the reverse problem in mathematical modeling of geofiltration, in particular, the coefficients of transmissibility, porosity and hydrodynamic pressures, the authors propose to apply the following modules «Darcy Flow» and «Darcy Velocity» with the modules «Particle Track» and«Porous Puff» ArcGis software. These modules are intended for elementary mathematical modeling of groundwater movemnets based on the total water balance. Their application allows reasonbly to accomplish the approximation of discrete entrance hydrogeological data and obtain the relevant and constant raster models of geological and physical fields. This approach reduces the time of solving the reverse problem, comparing to the traditional method, when the result is obtained by successive substitution method and the rialability is based upon the general hydrogeological concerns.
HUMAN RESOURCE MANAGEMENT PRACTICES AND EMPLOYEES’ PERFORMANCE OF TELECOMMUNICATION SECTOR IN KENYA: A CASE OF SAFARICOM PLC

Purpose of the Study: The aim of this study was to establish the influence of management practices on the performance of employee at Safaricom Limited. The study was guided by the following specific objectives; to establish the influence of employee involvement in decision making on employee performance at Safaricom, to determine the influence of motivation on employee performance at Safaricom and to establish the influence of training on employee performance at Safaricom. The study was informed by; Human Capital Theory, Performance Improvement Theory, Vroom Expectancy Theory and Fiedler Leadership Contingency Theory.Problem Statement: There are findings that suggest Human resource management practices do have the same benefits to different companies that conduct performance reviews every year. There are findings that suggest performance appraisal can be more effective on employee productivity if carried out twice a year, others emphasize that the best practice requires the evaluation of performance to take place on a regular basis. A number of studies have suggested quarterly performance updates. There is lack of conclusiveness on how frequent should human resource management practices be conducted so as to yield better performance.Research Methodology: The study adopted a descriptive research design and correlational research design. The target population for the study involved 11 senior managers, 38 middle managers and 5451 junior staff at Safaricom. A sample of 545 junior staff was selected for the study using simple random sampling technique, while Census was used to study senior and middle managers therefore; the sample size for the study was 594 respondents. SPSS was used to analyze that data. The analysis involved the use of descriptive statistics and inferential statistics. The specific descriptive statistics included mean, standard deviation and percentages, while the specific inferential statistics included correlation and regression analyses. A multiple regression model was used to show the relationship between the independent variables and the dependent variable.Results: The findings of the study revealed that there was positive and significant relationship between employee involvement in decision making (β =0.435, p=0.000), employee motivation (β =0.361, p=0.000), employee training (β =0.189 p=0.000) and employee performance at Safaricom Limited.Conclusion: Based on the findings, the study concluded that an improvement in the human resource management practices leads to an improvement in employee performance.Recommendation: The study recommended that the management of Safricom adopts the most effective human resource management practices as a way of improving the output of their employees.Key Words: Management practices, Involvement, Motivation, Training, Employee performance
The Nigeria Police Philosophy and Administration of Criminal Justice Post 2015: Interrogating the Dissonance

The importance of the enactment of the Administration of Criminal Justice Act (ACJA) 2015 for the Nigerian Federation and the subsequent state variants have an impact on the need for speedy dispensation of justice. This enactment enjoins all institutional actors that make up the criminal justice system in Nigeria to accelerate the processes leading to the quick dispensation of justice for the defendant, the victim and the society. The Nigeria policing philosophy characterised by centralised command and control governance system appears to be at variance with this aim as provided by the Act. It is particularly so in component states where variants of the ACJA have not been enacted. Quick dispensation of justice may be painful to achieve when the police cannot be controlled by any other body in the Federation other than the central command. This paper provides that if there is no realignment or a total recalibration of the philosophies between the ACJA and the Nigeria Police, the aims of ACJA may become far from reality. The combination of jurisdictional limitation of crime and the peculiar federating structure of the country which imposes a pseudo-independent criminal justice system on each state has a crucial impact on the aims of ACJA.
DETECTING SYSTEMATIC AND RANDOM COMPONENT OF SURFACE ROUGHNESS SIGNAL

The solution of the problem of separating the initial one-dimensional signal into two components – systematic and random – has an extremely wide practical application not only in the theory of information and communication (and related disciplines), but also in mechanical engineering disciplines. For example, mechanical engineering technology being a science discipline includes the teaching about the surface quality of the machined parts and researching the surface roughness after machining these parts by cutting and grinding. The paper shows that the theoretical and actual values of roughness parameters differ significantly (up to 20 times) due to the influence of a random component that is present in the roughness signal together with a systematic component. It is necessary to identify the share of each of these components in the specified surface quality parameters in accordance with the method proposed in the paper. This method allows detecting the systematic and random components of the signal and is based on the analysis of the signal autocorrelation function. Practical examples of this analysis are considered in detail for milled surface profilogram obtained experimentally. Both milling, which creates irregularities on the machined surface, and measurement of these irregularities are performed on modern CNC equipment: machining center 500V/5 and computer measuring station T8000, respectively. The developed and shown by examples signal separation technique is also applicable in other fields of science, technology and manufacturing. For example, when determining the signal to noise ratio in the theory of information and communication, in the field of telecommunications and telemetry, radio engineering, etc.
A Deep Learning Model for Skin Lesion Analysis Using Gaussian Adversarial Networks

Computer assisted radiology becomes an interdisciplinary domain between mathematics, medicine and engineering. Tumor detection, analysis, classification are main problems in digital radiology for diagnosis and follow-up. A physician or an oncologist involves in the care of patients by regarding detailed reports of carcinoma in situ that analyze the pathology of suspicious lesions. Deep learning applied to several fields in medicine is considered as an intervention for oncology. Even if the final treatment of the lesion is decided by the oncologists or the surgeons in a case of resection, image based analysis of lesions (benign or malign) promises automated decision making for radiology. Skin lesion detection and classification are current challenges in medical image analysis. Dermatologic image processing benefits from the evaluation scores of neural nets. Gaussian Adversarial Networks (GAN) bring a new architecture in machine learning by adding generator and discriminator steps in data analysis. In this article, GAN architecture has been implemented on two dimensional skin lesion images. After the preprocessing, colored images have been trained in GAN. The experiment setup has been enriched by adding incremental noise on tumor images before GAN training. The evaluation has been tested through accuracy, sensitivity, specificity, Dice coefficient and Jaccard coefficient parameters. In conclusion, test results showed that GAN architecture provides a robust approach in skin lesion analysis.
A Study on the Success of Knowledge Management in the Country's Petrochemical Industry Using the AHP Technique - Case Study: Shazand Petrochemical Company

Abstract: Globalization leads to changing world and organizations, at an alarming rate. New organizations pay more attention to understanding, adapting and managing environmental changes around and are trying to learn and use the knowledge and updated information in order to improve the operation and providing clients services and more desirable products. Such organizations need to use a new management style called knowledge management. These organizations are trying to use effective knowledge management and intellectual assets to achieve strategic goals by implementing various KNOWLEDGE MANAGEMENT projects. In the petrochemical industry, which includes over 18 active complexes and about 15,000 official personnel, without any doubts, the main source is the knowledge that we have in the industry. The special conditions of the Iranian petrochemical industry, such as rapid progress, the transition from the state system to the private system and the entry into the world of competition, double the need to use new findings like knowledge management, and the Shazand Petrochemical Company is of no exception. The Shazand Petrochemical Complex projects plans were approved in 1363 and after the design, engineering and installation phases, the first phase was on the production line in 1372. The main question of this research is to investigate the success of knowledge in the petrochemical industry. Considering the necessity of implementing knowledge management in the petrochemical industry of the country, in this article, we try to evaluate the knowledge management success in the petrochemical industry (Shazand Arak Petrochemical Company), based on the AHP technique and ranking the Ashland Petrochemical Industries of KNOWLEDGE MANAGEMENT, Identify the status of the company in each of the Ashland Petrochemical Industries and, in the end, provide solutions to improve this status.
Quantum Computing for Microwave Engineers [From the Guest Editor's Desk]

The articles in this special section focus on quantum computing. After decades of research and development, quantum computing has recently grown into one of the hottest and most promising of all emerging fields. While large-scale quantum computing was just a pipe dream even a decade ago, today there is an intense race around the globe to build a practical quantum computer. So, as a microwave engineer, why should you be interested in quantum computing? It turns out that there is actually a significant amount of microwave engineering involved in the implementation of many controllable quantum systems.
Review-Based Trust Algorithm (RBTA) to Discover and Correct Trust Between Individuals in Weight Social Networks

In the social context, especially when evaluating a new technology or product or searching for answers about financial assets linked to risks, individuals will provide advices among themselves. Here highlighting the importance of the degree of trust between individuals and discovery of fake, honest. This research suggests a new algorithm (RBTA) stands for Review-Based Trust Algorithm, which based on the continuous review to assess the trust of individuals among them. These evaluations depend in large part on the  amount of interaction between individuals, as the algorithm has the advantage that the frequent interaction between two individuals increases the chances of giving its opinion more accurate. As each individual’s trust degree is reviewed and verified by accumulating all the contributions of the individuals associated with him, and their credibility is reviewed so that their contribution is correct to make the evaluation as much as the trust gained, this may require multiple iterations until reaching stability.
Analyzing the Interaction of Users with News Articles to Create Personalization Services

News personalization technologies aim at providing contents tailored to the users preferences. While recommender systems provide suggestions to users by taking advantage of individual preferences, content of news portals can be tailored on the bases of sociological aspects (e.g., the demographics of the users or the region in which they live) elicited from user interactions with the news. This allows to generate personalization with a coarse granularity; however, no study has ever shown a large-scale analysis of how the users interact with the news, focusing on different user segments. This paper uses the Yahoo News Feed dataset, a corpus that contains more than 101 billion examples of interactions between users and news items. The data present in the corpus spans for a range of 4 months, and was extracted from real user interactions with news items in the Yahoo Web portal. The dataset has been analyzed in order to understand users behaviors and their relations with sociological aspects. Thanks to our analysis, different forms of personalization can be generated.
Research and Application in Changqing Oilfield of Cable Addressable Grading Ignition Technology

In order to improve the field work efficiency of multiple trips of perforating job in single well, detailed study of the cable addressable multi-stage ignition technology, the technical principle and application of the addressable selector switch are introduced, and the grading ignition design and construction scheme of perforation considerations are summarized, the implementation effect show that the application of this technology can improve job efficiency and meet the needs of layered perforating and fracturing at the on-site oil and gas field.
An Analysis on Research Trend in Curriculum Reconstruction in South Korea

본 연구는 교육과정 재구성에 대한 국내 연구 동향을 분석함으로써 재구성 연구의 과거와 현재를조망하고 앞으로 관련 연구의 방향성 설정에 깊이 있는 기반을 제공하고자 수행되었다. 6차 교육과정이래 학술지에 발표된 교육과정 재구성 연구 중 총 457편의 연구가 분석되었으며 기초분석으로 시간별, 연구방법별, 학교급별, 단독/다수/교과외별 분석이, 추가적으로 내용분석법을 활용한 주제 분석이행해졌다. 기초분석 결과, 연도별 재구성 관련 연구는 점차 증가한 것으로 나타났다, 연구방법 상으로는 문헌연구가 가장 많이 수행되었고, 학교급으로는 초등학교가 가장 많이 대상이 되었으며 다수교과를 대상으로 한 재구성 관련 논문이 많은 것으로 나타났다. 주제 분석 결과, ‘프로그램 개발·적용’, ’재구성 경험‘, ’교사의 전문성‘, ’철학·개념이란 주제가 추출되었고 ’프로그램 개발·적용‘ 관련 논문이 가장 많이발표된 것으로 나타났으며, 주제 관련 하위 내용이 분석되었다. 마지막으로 연구 결과에 근거하여 추후 교육과정 재구성 연구에 대한 시사점을 제시하였다.This study was conducted to explore the research trends in curriculum reconstruction in South Korea and provide a foundation for the orientation of the related research in the future. A total of 457 articles published in Korean scholastic journals from 1992 to 2018 were selected for this study. The basic analyses were conducted in terms of publication year, research methods, school levels, and subjects matters of the selected articles. And, the further analysis was conducted about the research themes of the articles. The results by the basic analyses indicated the followings: the research related to the curriculum reconstruction of each year gradually increased, literature research was carried out the most under the research method, elementary schools were the most targeted at the school level, and there were a lot of papers on the reconstruction over multiple subjects. The analysis on the research theme of the published articles showed that it covered the themes such as program development and application, reconstruction experiences, teacher professionality, and philosophy·concept and that, among them, the most frequently published research theme was program development and application. Based on the results of this study, the implications for further research related to curriculum reconstruction were presented.
Indoor Smart Wheelchair: Systematic Mapping

Abstract Wheelchair are designed to enhance a patient’s personal mobility. It should help users to engage as much as possible in events. Therefore, rather than having a negative impact on its health or safety, the consumer should be able to live more active lives. Researchers have constantly worked to provide the patient with the best tool. At the time, patients had the option to use a wheelchair only, but now exoskeletons were introduced and proved as planned to have been successful. However, the use of wheelchair have never been brought down, in fact, the wheelchair that we all known are evolving into something fresh and new due to the effort of researchers applying new technology. Since a new idea for wheelchairs has been proposed, we conducted a systematic mapping study (SMS) on features introduced by researchers on wheelchairs. We identified 41 papers coming from conferences, symposium, workshops and journals. A total of 13 features exist in wheelchairs are identified. We present a qualitative analysis of the wheelchair, an overview on features for wheelchairs.
Secure Blind Signature in Electronic Voting System using Smart Card Technology

Abstract-Voting is regarded as one of the most effective methods for individuals to express their opinions to select their democratic leader in the public elections. As the computing, communicating, and cryptographic techniques progress rapidly, increasing emphasis has been placed on developing electronic voting schemes capable of providing more efficient voting services than conventional paper-based voting methods. It has been widely recognized as a secure electronic voting scheme, which satisfies not only completeness, privacy, unfeasibility, eligibility, fairness, verifiability, and robustness, but also receipt-fairness. A receipt-free e-voting scheme based on the virtual voting booth that can be implemented with a smart card. Receipt-freeness is achieved by distributing the voting procedure between the voter and the smart card. The voter and the smart card jointly contribute randomness for the encryption of the ballot. To provide convenience to voters, sufficient voting facilities are supplied in sufficient public voting booths. Unlike conventional paper-based voting systems the voter can choose any voting booth that is convenient and safe to them in the proposed e-voting scheme. By using smart cards to randomize part of content of the ballot, the voter can not construct a receipt.
ANALYSIS ON CONTENT BASED IMAGE RETRIEVAL TO IMPROVE THE PERFORMANCE AND ITS NOVEL APPROACH

The issue of content based image retrieval in dynamic environment is tended to. It isn't doable for frameworks that examine images continuously where the images are put away or included a progressing premise. - In the realm of digital image handling since the requirement for content-based image retrieval has expanded with increase size and volume of digital images. In this paper we execute the successful structure which is utilized to recover most comparable images from enormous images database for the image gave by the user. We proposed methodology, an image present by a lot of areas, while correlation of images are representing, each image speak to by a histogram, subsequently the estimation of the district correspondence change into a histogram coordinating issue. Also, by utilizing and image separation ideas, the distinction between images acquired. Test results show that the proposed histogram image coordinating execution is adequate.
DYNAMIC LOAD BALANCING TECHNIQUE BASED ON SERVER CAPACITY AND LOAD FOR UPDATE TRANSACTIONS IN CLOUD DATA STORAGE

Load balancing is an important part of cloud computing. The main objective of load balancing algorithms is the proper utilization of resources to improve the performance of the overall cloud computing systems. It also maximizes throughput. This paper proposes a job equalizer that distributes the write job load among cloud servers. The cloud servers are having replicated data. The cloud client sends the write request to the write job equalizer. Hence it needs to satisfy the user request with minimum update time. This paper proposes algorithms for distributing the write transaction load among servers based on their capacity and minimum active connections. As the client requests are distributed based on their capacity, servers can provide quick response. And also minimum active connection server is considered for service. So, it can provide faster update service to the clients with minimum update time and maximum throughput.
Bayesian Generalized Network Design.

Abstract We study network coordination problems, as captured by the setting of generalized network design (Emek et al., STOC 2018 [18] ), in the face of uncertainty resulting from partial information that the network users hold regarding the actions of their peers. This uncertainty is formalized using Alon et al.'s Bayesian ignorance framework (TCS 2012 [1] ). While the approach of Alon et al. is purely combinatorial, the current paper takes into account computational considerations: Our main technical contribution is the development of (strongly) polynomial time algorithms for local decision making in the face of Bayesian uncertainty.