Reviewerly/exHarmony huggingface dataset:
Qos and Load Balancing in Cloud Computing- an Access for Performance Enhancement using Agent Based Software

Cloud computing, one of the advanced and emerged technologies in the field of computer science has been embraced by different organizations of various sizes. The purpose of organizations moving into cloud is manifold, out of which , performance enhancement and cost optimizer are the primary ones. Generally, when an organization moves their operations into cloud, Cloud Service Providers (CSPs) provision various machine images to different users based on their requirements within the organization. Also, CSPs, potentially offer Anything as a Service (XaaS) to organizations with the help of distributed and connected server farms available at geographically separate locations. QoS parameters in terms of service time, as specified in the Service Level Agreements(SLAs) between CSPs and organizations must be adhered strictly. As an effort towards maintaining QoS, within the cloud, the operational approach of load balancing across multiple distributed servers play a vital role. This paper presents a novel load balancing algorithmic framework with the help of software agent that runs in the gateway system between cloud consumers and cloud service providers. This software agent in the gateway system is vested with the responsibility of diverting the incoming work process to the appropriate servers, based on their current workload and resource utilization. The efficiency of this approach is tested using CLOUDSIM by creating different number of cloudlets and hosts
KONSEP "WATER PALACE" DI INTERCONTINENTAL BALI RESORT

The popularity of tourism in Bali has attracted tourists from all over the world to come to this a thousand temples island. There is an increase of number of tourist by 2,02 percent compare to the July’s note in 2018 (Bali Central Bureu Statistics). As seen from the data above, there are many hotels and resort in Bali that competes to give the experience possible to the guests, one of the way is by using the Balinese architecture heritage concept “Water Palace”. One of the resorts in Bali that has been using this kind of concept is Intercontinental Bali Resort. It is a very interesting concept using Balinese traditional architecture. The method that is used for this research is observation method on how this concept is able to attract guests to come and enjoy every corner of the resorts. The implementation of “Water Palace” concept is realized not only physically through the use of water element, Balinese statues, and carvings but also implemented through Hinduism philosophy in Bali.
A New Hybrid Proposed Algorithm for Multiple Vehicle Detection and Tracking in a Day-Time Environment

Multiple Vehicle detection and tracking is one of the hot research topics in the field of intelligent transportation systems, image processing, computer vision, robotics whereas applications are real time traffic monitoring, lane estimation, accident avoidance, alarm signal to indicate road accidents to save the public safety and so on. There exists a numerous higher level applications are motivated by a young researchers and scientists to identify the newly advanced techniques in which to solve the real time traffic problems using machine learning and deep learning methods to track multiple vehicles accurately. To addresses the various existing challenges in machine learning and deep learning based multiple vehicle detection and tracking algorithms namely camera oscillation, shadowing, changing in background motion, cluttering, camouflage etc. for the detection rate decreases dramatically when the distribution of the training samples and the scene target samples do not match. To address this issue, a new hybrid model of two-tier classifier of Haar+HOG, SVM+AdaBoost classifier algorithm based on a feature extraction algorithm is proposed in this paper. Inspired by the Adaptive Discrete Classifiers mechanism multiple relatively independent source samples are first used to build multiple classifiers and then particle grouping is used to generate the target training samples with confident scores. The global manual feature extraction ability of deep convolutional neural network is then used to perform source-target scene feature similarity calculation with a deep auto encoder in order to design a composite deep structure based adaptive discrete classifier and its global training method. The main contributions of this paper are threefold: 1) To improve the overall accuracy rate of multiple vehicle detection and tracking of front-view vehicles alone rather than full-sided vehicles. 2) The novelty of our proposed work is for particle grouping of multi-vehicles such as car, bus and lorry. 3) To propose the tracking of front- view multi- vehicles in linear and non-linear motion using particle and extended kalman filter along with hybrid new multi-vehicle tracking algorithm and attains 93.6% of accuracy is shown in the experimental results. We evaluates our proposed method with standard data sets PETS 2016 and 5 self-data sets iROAD were manually collected on traffic road and compared with the existing state of the art approaches and along with the Experiments on the Kitti dataset and a 3 different self -data set captured by our group demonstrate that the proposed method performs better than the existing machine-learning based vehicle detection methods. In addition, compared with the existing automatic feature extraction and region based object detection methods, our new hybrid method improves the overall detection rate by an average of approximately 5% of existing methods.
Pengaruh Tingkat Pendidikan Orang Tua dan Motivasi Belajar Terhadap Nilai Siswa Pada Mata Pelajaran Administrasi Umum Kelas X Otomatisasi dan Tata Kelola Perkantoran Di SMK Negeri 1 Lembah Gumanti

This study aims to determine: (1) The effect of parents 'educational level and learning motivation together on student grades, (2) the influence of parents' educational levels and learning motivation on student scores, (3) the influence of student learning motivation on student grades in general administration subjects in class X Automation and Office Governance in SMK Negeri 1 Lembah Gumanti. This type of research is quantitative research with an associative method using SPSS version 20. The instrument used in this study is a research questionnaire. The existing population of 65 students in the sampling used total sampling with a total of 65 students. The instrument trials used validity and reliability tests. Data analysis with descriptive and inductive analysis using normality test, heterokedasticity test, multicollinearity test, multiple regression test and hypothesis test using F test and t test. From the results of this analysis it can be concluded that: (1) The Level of Parent Education and Learning Motivation together has a positive and significant effect on student scores seen from the value of sig. 0.007 &lt;0.05. (2) There is a negative and insignificant influence on the level of parental education on student scores seen from the Sig. 0.516 &gt; 0.05. (3) There is a positive and significant influence of learning motivation on student grades in general administration subjects seen from the Sig. 0.002 &lt;0.05. Keywords: parental education level, learning motivation, student grad
The Design Of A Sales Accounting Information System Tie Weaving Bussinesses In Providing Information For Decision Making In Micro Small And Medium Enterprises In Alor NTT District

This study aims to analyze the Sales Accounting Information System and the information which needed by management to assist in making decisions on MSME Tenun Ikat and to design MSME Tenun Ikat’s Sales Accounting Information System in Alor-NTT Regency. The research method was carried out with a liter
Evaluation of morphological characteristics of manganiferous soils at the scale of the toposequence

Manganese soils in Côte d'Ivoire are mainly formed on volcano-sedimentary complexes.Knowledge of the limiting factors of these soils is therefore an important prerequisite for ensuring efficient agricultural production.The objective of this study is the morphopedological characterization for the rapid realization of inventories on the evaluation of agricultural potentialities of the lands.A soil survey on four zones was carried out.In manganese soils, heavy loads in coarse elements appear to be culturally constrained.The upper and lower slopes are reddish (2.5YR), while those on the lower slopes are yellowish (7.5YR).The observed texture is generally fine with generally well-developed and stable structures (subangular polyhedral structure).Observations made in the soil profiles of the watershed and the watershed indicate a diffuse distribution of clay and sand.
Perancangan Model TDABC Dalam Menghitung Unit Cost Pendidikan

Calculation of education unit cost for S1 Economics courses at the University "X" using the TDABC method show that the average tuition fees is Rp. 3,640,469,/student for the academic year 2015/2016; or Rp.1,820,235,-/student for each semester. Meanwhile, the basis for calculating the unit cost of education that is used for now, just following the unit cost of its competitors, amounting to Rp.1.800.000,-/student for each semester. So that the unit cost of education courses calculated by TDABC method and the current method relative did not experience a significant difference. However, the information can be used by management to evaluate the existence of other faculty who use more resources and have fewer number of students.
INFORMATION ANALYSIS DECISION SUPPORT SYSTEM FOR STRATEGIC PLANNING OF REGIONAL AND URBAN DEVELOPMENT

This article discusses the ways to improve the quality of the educational process with using virtual simulators. The main trends in the use of simulators in education are presented. The practical experience of the Financial University under the Government of the Russian Federation on the development of the Open Online Academy online.fa.ru is presented. Specific examples of the developed virtual simulators «Financial Fund Management», «Russian as Foreign» and «Financial Director» for online courses of the Open Online Academy of the Financial University are considered. The description of the structure of a virtual simulator is given on the example of a simulator «Blockchain and Cryptocurrencies»
Sender-controlled private email Electronic privacy with EPRIVO

can be considered part of everyday life, they can also be described in the terms and conditions that form agreements between parties or in terms of privacy.Prime examples of this are the free services that require users to agree to their terms and then use the users' information to target advertisements as part of a monetization scheme.Considering this socio-economical context, email privacy can be vulnerable to data mining by both service providers and storing companies for financial benefit.There is also the possibility of future changes in their terms and conditions that can potentially compromise the consumer's information.Furthermore, such email privacy violations can happen without the user's knowledge.
Challenge to the proving of theorems of Euclid's elements of as ATP

Automated theorem proving (ATP) is a subfield of automated reasoning and mathematical logic dealing with proving mathematical theorems by computer programs. An Isabelle/HOL is a generic proof assistant. We perform the challenge for the proving theorems of Euclid's elements of geometry. We could prove some theorems of Euclid's elements of geometry. Technique of programing and mental conception interact. The mathematics education which prove theorems of the Euclidean geometry by using the Isabelle/HOL can correct the present weak point
Fuzzy Shannon Entropy for Face Recognition

This paper presents a new local feature called Fuzzy Shannon entropybased features for face recognition. These features are computationally simple and capture the variation in the face image. The new Fuzzy membership functions are defined which are not like standard Gaussian or trapezoidal membership functions, but they are computed with normalized Image intensity values. This paper gives the flexibility to design of new membership functions to cater the need of the problem. The Information set is the combination of fuzzy membership and Information source (attributes). By applying this concept, we have extracted features from ORL and Faces94 databases with Support Vector Machine and K Nearest Neighbour classifier the results obtained with the proposed method are better than other published contemporary techniques.
Human Facial Emotion Recognition using Adaptive Sigmoidal Transfer Function in MLP Neural Network

The human face is very sensitive towards inner feelings particularly with different state of mind under various conditions. The facial expression has used in computer vision to understand the human response against stimuli. But the facial expression is also having the nature of variability and controllability hence its complete generalization from a computer vision point of view is very difficult and challenging, though acceptable performances can be achieved. In this paper, a two stage based facial expression recognition model which carry the Principal component analysis as a feature extractor in the first stage and self-adaptive based activation function in feedforward neural network as a classifier in the second stage have applied. Use of principal component analysis reduces the dimension of features while the adaptive slope of transfer function provides another parameter along with weights to change in making learning faster and accurate. Six most dominant state of facial emotion like angry, surprise, sadness, normal, happy and fear have considered in this paper and performances have been tested over variable expressions. The benefit of the proposed model of self-adaptive activation function has verified through the benchmark XOR problem classification.
Preserving Indian Languages and Ancient Scripts through Language Documentation and Digital Archiving

Unity in diversity is one of the most distinctive features of Indian civilization. From Jammu &amp; Kashmir to Kanyakumari, every region portrays different customs, cultural traditions, and mother tongues. India is a country of multiple languages and ancient scripts. According to the 2011 census report, 1950 mother tongues were spoken/in use in India. Under Article 344 of the Indian Constitution, only 15 languages ​​were initially recognized as the official language. The 21st Constitution Amendment gave Sindhi the official language status. Based on the 71st Constitution Amendment, the Nepali, Konkani, and Manipuri languages were also included in the above list. Later, by the 92nd Constitution Amendment Act, 2003, four new languages ​​Bodo, Dogri, Maithili, and Santhali, were included in the Eighth Schedule of the Constitution. Thus, now 22 languages ​​have been given the status of official language in the Indian Constitution. The total number of people speaking these 22 languages ​​in India is 90%. Apart from these 22 languages, English is also the official language and is also the official language of Mizoram, Nagaland, and Meghalaya. In all, 60 languages ​​are being taught in schools in India.&#x0D; There was an excellent response to the call for papers for Special Issue on Language Documentation and Archiving of DESIDOC Journal of Library and Information Technology (DJLIT). A total of about 13 Papers were received for the special issue. Based on the review and relevancy of the particular theme, seven papers have been selected for publication in the special issue on Language Documentation and Archiving.
Texture Classification of 3D MR Images using 2.5D Rank Filters

The 3-D items utilized in 3D computer games and augmented reality are empty polygon networks with surfaces concerned them. Then again, volume information portrayal stores the external surface highlights, yet in addition the highlights inside the volume. For instance, representation of 3-D MRI/CT information is tied in with appearing inside parts as well. Envisioning volumetric information requires more video memory. A large portion of the genuine 3D volume information created particularly by MRI scanners is dim dimension pictures. This paper tends to a novel system of texturizing the MRI information slides and its handling for extraction of shallow and volumetric highlights.
Dependability Of The Users In Cloud Environment Usingload Balancing And Integrity Of Data

A distributed computing is one of the most amazing administration offered by means of web which makes a stage to store and recover information Since client's close to home information is being put away in a decoded arrangement on a remote machine worked by outsider merchants who give different administrations, the effect of client's personality and unapproved access or revelation of records are extremely high.In this proposed system is using Dependability of the Users,Privacy and Integrity of Data (DPI) algorithms using improve the Execution assessment of Cloud Computing foundations is required to anticipate and measure the money saving advantage of a technique portfolio and the relating Quality of Service (QoS) experienced by clients. Along these lines, concentrating on Load adjusting in the distributed computing condition importantly affects the presentation. This paper deals with multi target asset provisioning plan for taking care of different errand classes for different outstanding task at hand office. In this proposal, project is using a Best Partition Searching for distributing a file system to another cloud environment. This methodology gives a security regarding client verification for "approval" to enter the system which is made by means of Image Sequencing secret key to demonstrate that the personality is unique client, RSA calculation to encode the information to give information respectability, a profoundly parallel conveyed information the executives administration that empowers to peruse/compose and add gigantic informational collections that are divided and circulated at a huge scale. Subsequently this methodology gives a general security to the customer's close to home information and the issue of simultaneousness, volume of information can be settled with these procedures.
The Sociology of Science Fiction and Fantasy: Monitoring Within Science Fiction and Fantasy Studies Classes at Lomonosov Moscow State University

Е.Н. Ковтун (Москва, Россия
Small Scaled Autonomous Vehicle

This paper presents a self-driving car using low cost convolutional neural network based platform. The project replicates the real autonomous vehicle/car into a small scaled remote controlled (RC) car. The CNN (convolutional neural network) provides a high accuracy prediction. A small camera is mounted on the RC car for capturing real time video feed to firstly train and then to predict the direction. The camera provides video feed to the input layer of the CNN that has hidden layers, that analyzes and compute the data to predict the output from an output layer that tells rc car to move in predicted direction
Secure and Multi Copy Dynamic Information Possession in Cloud System

Smart cities are implementation of information and communication technologies. These are developing based on institutional, physical, social and economic infrastructure. Every data is organized in a secure manner in these planned cities. Client’s data is stored in Cloud servers Cloud Computing is that the net based mostly model, that permits the convenient on demand resources. More organisations are surging towards the cloud for outsourcing their sensitive data. Cloud Service Provider (CSP) can charge the client data based on their storage in the cloud server by paying fee, metered in Gigabytes/Month. For the scalability, availability and accessibility purpose, some customers want their data to be replicated in the multiple servers at the distinctive Data centers. If the customers want to store more copies of data in server, they have to pay more charges so it needs strong guarantee on CSP, that it stores all the data copies on the service contract agreement. This paper centers on a Data security of immense associations. A Mapping Based Dynamic Data possession scheme is proposed, to provide the guarantee to the customer that CSP isn't conning by putting away just barely any duplicates of information. This plan underpins Dynamic activities on the re-appropriated data.
An Effective Preprocessing Algorithm for Information Retrieval System

The innovation of web produced a huge of information, evaluates by empowering Internet users to post their assessments, remarks, and audits on the web. Preprocessing helps to understand a user query in the Information Retrieval (IR) system. IR acts as the container to representation, seeking and access information that relates to a user search string. The information is present in natural language by using some words; it’s not structured format, and sometimes that word often ambiguous. One of the major challenges determines in current web search vocabulary mismatch problem during the preprocessing. In an IR system determine a drawback in web search; the search query string is that the relationships between the query expressions and the expanded terms are limited. The query expressions relate to search term fetching information from the IR. The expanded terms by adding those terms that is most similar to the words of the search string. In this manuscript, we mainly focus on behind user’s search string on the web. We identify the best features within this context for term selection in supervised learning based model. In this proposed system the main focus of preprocessing techniques like Tokenization, Stemming, spell check, find dissimilar words and discover the keywords from the user query because provide better results for the user.
Experience of Formation of the Scientific Research Environment At Russian Universities

The article analyzes the role of all disciplines of the curriculum during the preparation of a modern student. The development of the organization of research work with students is shown on the example of the leading engineering university of Russia of the Tyumen Industrial University. The experience of creating real conditions for the active inclusion of students in research at the Mordovian State Pedagogical Institute named after M.E. Evseeva. The work summarizes the many years of experience in organizing scientific work with students in conducting sociological research in a technical university. The features of the methodology of working with bachelors at all stages of the preparation and conduct of a sociological study are examined, a description of the workshops is given. The results of surveys on youth issues conducted at the Surgut Institute of Oil and Gas are presented, the basis of which is a concept developed by O.O. Gorshkova.
CAUSES AND EFFECTS OF THE PROTAGONIST’S WORRY IN DANIELLE STEEL’S NOVEL FAMILY TIES

This research analyses the causes and effects of the protagonist’s worry in Danielle Steel’s novel Family Ties, a story of woman, Annie Ferguson, who must become a mother in her bachelorette. She always worries about the future of her sister’s children. This research applied the theory of worry proposed by Graham (2006), who said that worry is “prominent feature of most anxiety-based disorders including generalized anxiety disorder, specific phobias obsessive-compulsive disorder, panic disorder, and post-traumatic stress disorder“. The research is completed by using descriptive qualitative method in which the finding is presented in the form of description. The data of this study is obtained from the novel Family Ties by Danielle Steel. The analysis finds that the dominant causes of the protagonist’s worry come from her nephews’ life which affects her life negatively. The effects of her worry will be a lesson for human life because every human being certainly has worry feeling in their life in certain situations.